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. Author manuscript; available in PMC: 2014 Oct 15.
Published in final edited form as: Biochem Pharmacol. 2013 Aug 8;86(8):10.1016/j.bcp.2013.07.032. doi: 10.1016/j.bcp.2013.07.032

COGNITION AS A THERAPEUTIC TARGET IN LATE-LIFE DEPRESSION: POTENTIAL FOR NICOTINIC THERAPEUTICS

Lilia Zurkovsky 1, Warren D Taylor 1, Paul A Newhouse 1
PMCID: PMC3856552  NIHMSID: NIHMS524123  PMID: 23933385

Abstract

Depression is associated with impairments to cognition and brain function at any age, but such impairments in the elderly are particularly problematic because of the additional burden of normal cognitive aging and in some cases, structural brain pathology. Individuals with late-life depression exhibit impairments in cognition and brain structural integrity, alongside mood dysfunction. Antidepressant treatment improves symptoms in some but not all patients, and those who benefit may not return to the cognitive and functional level of nondepressed elderly. Thus, for comprehensive treatment of late-life depression, it may be necessary to address both the affective and cognitive deficits. In this review, we propose a model for the treatment of late-life depression in which nicotinic stimulation is used to improve cognitive performance and improve the efficacy of an antidepressant treatment of the syndrome of late-life depression. The cholinergic system is well-established as important to cognition. Although muscarinic stimulation may exacerbate depressive symptoms, nicotinic stimulation may improve cognition and neural functioning without a detriment to mood. While some studies of nicotinic subtype specific receptor agonists have shown promise in improving cognitive performance, less is known regarding how nicotinic receptor stimulation affects cognition in depressed elderly patients. Late-life depression thus represents a new therapeutic target for the development of nicotinic agonist drugs and parallel treatment of cognitive dysfunction along with medical and psychological approaches to treating mood dysfunction may be necessary to ensure full resolution of depressive illness in aging.

Keywords: cognition, depression, late-life, nicotinic acetylcholine receptors, aging

1. Introduction

Cognitive impairment accompanies depression at any age but is an integral feature of late-life depression where impairment may be compounded due to the presence of both the depressive disorder and normal aging processes. Cognitive impairment contributes to morbidity in late-life depression [1] and predicts functional decline [2], poorer response to antidepressants [35], and increased risk of recurrence [6]. Late-life depression appears to be a syndrome of intertwined cognitive and mood symptoms. The lack of targeted pharmacological treatments for cognitive impairment in late-life depression represents an unmet need and an opportunity for pharmaceutical development.

In nondemented, depressed older individuals, currently available antidepressants produce less than optimal response rates on mood and cognitive symptoms [7]. In individuals whose mood responds to antidepressants, cognitive deficits also improve, but cognitive performance does not reach the level of never-depressed [812]. Antidepressant augmentation with drugs may also affect cognition. Open label [13, 14] and placebo-controlled [15] trials showed improved depressive symptoms in elderly patients when the psychostimulant, methylphenidate, was paired with the antidepressant, citalopram, but these studies did not report effects on cognition. A few attempts to use explicit cognitive enhancing agents (e.g. acetylcholinesterase inhibitors) have not had robust results. A small placebo-controlled study found no effect of the glutamatergic NMDA receptor antagonist, memantine, on mood or functional independence [16]. Augmentation of an antidepressant with an acetylcholinesterase inhibitor, donepezil, temporarily improved cognition, but also increased the risk of depression recurrence [17].

Non-pharmaceutical treatments have been investigated in late-life depression but are not widely available. Behavioral therapies targeting depression with executive dysfunction showed modest benefits to mood but cognition was not evaluated [18, 19]. Neuroplasticity-based computer programs have been hypothesized to aid executive dysfunction in late-life depression but results have not yet been reported [20]. Repetitive transcranial magnetic stimulation is a newer technology for alleviating depressive symptoms with brain stimulation, but has not convincingly been found to improve cognitive impairments in depression [21]. Thus, while there is acceptance that treatment of cognition is important to late-life depression [22], a successful treatment is not yet available.

One potential therapeutic target to improve cognitive performance in late-life depression is the cholinergic system. The cholinergic system is the primary neurotransmitter system responsible for cognitive symptoms in normal aging and dementia [23]. Drugs given to healthy volunteers that block cholinergic receptors reproduce cognitive impairments apparent in dementia, particularly in areas of episodic memory, working memory, and attention [2426]. In dementia patients, antagonist drugs exacerbate the severity of cognitive symptoms [27]. Drugs that stimulate the cholinergic system have the opposite effect, acting as cognitive enhancers. Cholinesterase inhibitors increase extracellular acetylcholine by blocking its break-down and are used to treat individuals with Alzheimer’s disease and other dementias [28]. While cognitive impairment in nondemented older adults with depression may not be identical to dementia, cholinergic intervention may be helpful.

Cholinergic stimulation may be important for cognition in late-life depression, but broad, nonspecific increases in cholinergic activation may be detrimental to mood. Cholinesterase inhibitors have a negative effect on mood [17, 29, 30]. Blockade of one of the major cholinergic receptor subtypes, muscarinic receptors, improved mood symptoms [31, 32], suggesting that stimulation of muscarinic receptors could be detrimental to individuals with late-life depression. Since muscarinic antagonism impairs cognition in healthy and depressed groups [2426, 33], its use in late-life depression would also not be ideal. However, nicotinic receptor stimulation may benefit both cognition and mood, to improve both major symptomatic components in late-life depression.

In this review, we describe the syndrome of late-life depression, as the combination of three overlapping pathologies: depression, cognitive impairment, and brain structural dysfunction. We summarize studies of nicotinic agonists and antagonists to treat mood symptoms of depression with nicotine and what is known about the cognitive enhancing properties of nicotine in nondepressed individuals. Lastly, as late-life depression is a multi-faceted syndrome without adequate treatment, we propose that combined treatment of an antidepressant to target mood symptoms and nicotinic stimulation to reverse cognitive impairments may produce better remission rates than either treatment alone. Late-life depression should therefore be considered a new target in the field of nicotinic drug development.

2. Phenomenology of late-life depression

2.1. Diagnostic criteria and comorbidity

As reviewed by Alexopoulos (2005) [34], depression is considered ‘late-life’ when occurring in individuals over the age of 60 years. It can be newly expressed in late-life (late-onset) or be lifelong (early-onset). Diagnostic criteria for major depressive disorder in older adults are the same as for younger adults and include depressed mood or diminished interest or pleasure for at least two weeks, severe enough to cause functional impairment. Depressed individuals also exhibit concentration deficits, psychomotor retardation, sleep and appetite changes, fatigue, guilt, and can develop suicidal ideation. Minor depression, characterized by fewer depressive symptoms, is also found in elderly patients. Patients with minor depression can show significant functional disability and roughly one-quarter transition to major depression within two years [35, 36], thus lower intensity of depression can have deleterious consequences in aging as well.

Epidemiologic relationships have been demonstrated to exist between depression and a number of medical illnesses. Depression occurs at high rates in several chronic illnesses: cardiac disease [3741], diabetes [42], cancer [43, 44], chronic pain [45], and urinary incontinence [46]. Neurologic illness is also associated with increased risk for depression, such as multiple sclerosis, stroke, Parkinson’s disease, and Mild Cognitive Impairment [47, 48]. Chronic illness and associated pain syndromes can increase the risk of developing depression, both in the affected individual and in caregivers [49, 50].

Importantly, the relationship between depression and medical illness is reciprocal. Not only are medical patients and caregivers at high risk for depressive symptoms, individuals who are depressed have poorer medical outcomes. For example, depression is associated with an increased incidence of diabetes [51]. Similarly, compared to nondepressed cardiac patients, the relative risk for cardiac mortality was greater in the presence of minor or major depression [52] and following myocardial infarction, depression predicted increased mortality [39]. In the instance of an acute event, late-life depression compromises recovery. Following a stroke, patients with a Beck Depression Inventory of greater than 10 or meeting the criteria of major depression were more likely to show a poor functional outcome at 15 months post-injury [53] Not surprisingly, late-life depression increased the risk for activities of daily living disability and mobility disability [54] and was related to increased mortality [55]. The evidence is therefore that depression comorbid with cognitive impairment will worsen medical outcomes. Successful treatment of late-life depression may thus have downstream consequences to improve non-mental health problems.

2.2 Cognitive impairments in late-life depression

Depression at any age is associated with cognitive impairment [56]. Late-life depression may be particularly affected because of the greater severity of cognitive impairment, likely related to the interaction between depression and normal cognitive aging. Figure 1 depicts the greater cognitive impairment seen in late-life depression due to converging effects of depression, aging, and brain structural pathology. While any single insult can lead to cognitive impairment, with the co-occurrence of two factors, severity of cognitive impairment increases and is greatest in the presence of all three, in late-life depression.

Figure 1.

Figure 1

Venn diagram summarizing the component pathologies in late-life depression leading to significant cognitive impairment: Cognitive symptomatology of late-life depression arises from the compounded effects of the cognitive effects of depression, cognitive aging, and loss of neural integrity due to structural brain pathology. Intensity of gray represents degree of cognitive/functional disability.

Cognitive impairments accompanying ‘normal’ aging (i.e. without dementia or other psychiatric illness) have been well-characterized [57] and include changes in executive function, episodic memory, working memory, attention, and processing speed. Likely not by coincidence, further cognitive impairment in late-life depression is seen in the same areas [58]. Relative to age- and sex-matched controls, individuals with late-life depression are impaired on tests of memory, executive function, processing and motor speed, planning, nonverbal intelligence, and constructional ability[5965]. Individuals with late-life depression may be considered to have a double disability relevant to cognition, with greater impairment than young adults with depression or non-depressed elderly.

Highlighting the importance of treating cognitive impairments in late-life depression in conjunction with mood symptoms, the extent of cognitive impairment predicts effectiveness of antidepressants to diminish depression symptoms [22]. Furthermore, more severe cognitive impairments in depressed elderly are associated with more severe depression symptoms [66]; [4, 10] and lower remission rates [4, 5, 6769]. Geriatric depressed patients who are successfully treated with antidepressants show some improvement in cognitive performance [60, 62, 7072]. However, cognitive deficits often do not fully resolve with antidepressant treatment [8, 9], even in remitted cases of late-life depression [811]. Therefore, separate treatment of cognitive impairment may be necessary to improve outcomes in late-life depression.

The domain of executive dysfunction, involving problems in planning, sequencing, organizing, and abstracting, and its effect on late-life depression outcomes has been a significant focus. A depression-executive function syndrome of late-life has been proposed [5], describing patients with greater executive dysfunction as being more resistant to antidepressant treatment and having poorer long-term outcomes [6, 59, 70, 73] reviewed by [74]. Poor performance on executive functioning tasks predicts lower future remission rates [3, 4] and is associated with poorer acute treatment outcomes [7578]. Such cognitive deficits tend to be more severe in individuals with late-onset depression compared with early-onset depression [7981], but impairments were evident for patients with early-onset depression as well [82, 83]. Considering the broad cognitive impairments identified in late-life depression and association between executive impairments with depressive symptoms, cognitive treatment augmentation may need to particularly focus on this domain of functioning.

2.3 Structural brain effects in late-life depression

As with cognitive symptoms, neuroimaging findings in individuals with late-life depression support a combined effect of aging and depression. Brain aging, even in healthy elders, is characterized by subtle cortical atrophy and white matter alterations [84]. These findings are more prominent and severe in depressed elders, who exhibit greater volumetric differences, cortical thinning, and greater white matter deterioration. Late-life depression is associated with widespread volumetric differences in frontal [8587], temporal [88, 89], and cingulate regions [90]. Volumetric differences are accompanied by significant white matter disease, as measured by diffusion tensor imaging [9193] and hyperintensities [94, 95]. Hyperintensity lesions (a.k.a. leukoariasosis, white matter lesions) are thought to be due to cerebrovascular disease (reviewed by [96]). Late-life depression is associated with greater severity of hyperintense lesions (a.k.a. leukoariasosis, white matter lesions) in subcortical gray matter (caudate, thalamus, putamen) [97, 98], subcortical white matter [98100], and frontal and temporal lobes [85, 101105] than elderly nondepressed. White matter hyperintensities progress over time in both depressed and nondepressed adults, but depressed adults with a poor course of depression (i.e. never remitted or relapsed) showed greater change in hyperintensity volume over time [106, 107].

Patients with the most severe volumetric and white matter lesions showed the greatest cognitive impairment on executive functioning tasks [61, 78, 108] and also had the smallest response to antidepressant treatment [92, 109111]. Similarly, the dorsolateral prefrontal cortex, which is important to executive functioning, had weaker correlated activation with other brain regions when patients were at rest than nondepressed elderly [112]. The impairments of neuronal integrity in late-life depression indicate a multi-faceted disorder affecting numerous brain regions important to both cognition and mood, suggesting an area of overlap in neural mechanism underlying cognitive impairments and mood dysfunction. Potentially, the treatment of cognitive impairment in late-life depression will act permissively to improve the efficacy of antidepressants on mood symptoms.

3. The rationale for cholinergic stimulation in late-life depression

3.1 The cholinergic theory of cognitive aging: Role of the nicotinic system

Cognitive impairments in late-life depression suggest increased expression of age-related cognitive decline, arising from the additional insult of depression. Dysfunction of the cholinergic system has been proposed to underlie cognitive symptoms in dementia and normal aging [113]. In nondemented aging, the basal forebrain cholinergic system does not undergo severe cell loss but is marked with decreased synapses and spines and shorter dendrites (reviewed by [114]). Decreased cholinergic activity in nondepressed elders, compared to young adults, correlates with impaired memory [115]. Challenging the cholinergic system in young adult animals and humans with cholinergic antagonist drugs reproduces cognitive slowing and impairments of older animals and humans [116120], further implicating decreased cholinergic function in cognitive aging.

The most widely used strategy for stimulating cognition in neurodegenerative disease is by stimulating the cholinergic system with acetylcholinesterase inhibitors [121, 122]. However, the treatment of cognitive impairment in late-life depression, acetylcholinesterase inhibitors are not ideal. The tonic increase in acetylcholine resulting from acetylcholinesterase inhibitors may be an imperfect mechanism for stimulating the cholinergic system, as evidenced by the incomplete restoration of cognition in Alzheimer’s disease produced with acetylcholinesterase inhibitor drugs and may imperfectly mimic the phasic glutamatergic-cholinergic interactions necessary for cognitive operations. (reviewed by [123]). In depressed patients, acetylcholinesterase inhibitors are additionally problematic because they may increase depressive symptoms. Increased activity at one class of acetylcholine receptors, muscarinic, has been shown to increase depressive symptoms [32] and conversely blocking muscarinic receptors improves mood symptoms [31]. Targeting treatment to stimulation of the other major class of acetylcholine receptors, nicotinic, may thus benefit cognition without deleteriously affecting mood and may be able to simulate more closely the operation of cholinergic signaling an cognitive operations, e.g. attention.

Studies have examined the effects of normal aging on nicotinic receptor structure and function and found a reduction in nicotinic receptor markers [124]; reviewed by [125]. For example, decreases in nicotine binding have been observed after the fourth decade in the medial temporal [126] and frontal lobes [127], areas important for impaired cognitive processes and show decreased structural integrity in late-life depression. Nicotinic receptors have also been shown to play important roles in the functional impairments of certain neurodegenerative diseases, including Alzheimer’s disease [128130]. The investigation of nicotinic treatment for Alzheimer’s disease was originally prompted by the finding of a dramatic decline in nicotinic receptors in Alzheimer’s disease [131133]. Loss of nicotinic binding sites in Alzheimer’s disease patients has been linked to the pathologic hallmarks of plaques and tangles [134], and neuroimaging studies using positron emission tomography demonstrate that the loss of nicotinic receptor binding in Alzheimer’s disease is linked to changes in cognitive performance [135, 136]. Since dementia is marked by progressive cognitive impairment across multiple domains, it is likely that loss of nicotinic functioning contributes to cognitive symptoms.

Newhouse and colleagues [2426] examined how blockade of nicotinic receptors with mecamylamine affected performance on a learning task in younger adults, healthy older adults, and patients with Alzheimer’s disease and found that nicotinic blockade impaired cognitive performance in all groups in an age- and disease-dependent way. Thus, blockade of nicotinic receptors with mecamylamine models age- and disease-related impairments in learning.

Little work has examined changes in nicotinic receptors in major depressive disorder. In young adults, single photon emission computed tomography (SPECT) analysis of nicotinic receptors carrying the β2 subunit showed lower availability across all brain regions in acutely ill and recovered depressed subjects, compared to age- and gender-matched controls [137]. Nicotinic receptor availability correlated with lifetime number of depressive episodes, trauma score, and anxiety score, suggesting that loss of nicotinic availability contributes to the mood symptoms of major depressive disorder. Studies have not extended into elderly depressed patients, but prior studies in young depressed and non-depressed elderly suggests that age- and disease-related changes in nicotinic functioning contributes to cognitive impairment in late-life depression.

3.2 Effects of nicotinic stimulation on cognition in normal humans

Neuronal nicotinic receptors are found throughout the central nervous system. Stimulation of nicotinic receptors may have broad effects on brain function via stimulation of the release of a variety of transmitters involved in cognitive function, including acetylcholine, dopamine, norepinephrine, serotonin, and glutamate [138, 139]. Cognitive improvement is one of the best-established therapeutic effects of nicotinic stimulation. A recent meta-analysis of over 41 double-blind placebo-controlled laboratory studies by Heishman and colleagues concluded that there are significant positive effects of nicotinic stimulation with nicotine on motor abilities, attention, and memory which likely represent true performance enhancement [140]. The nicotinic system has been proposed to have a specific modulatory role in controlled attentional processing when task conditions are difficult [141144]. Nicotine improves performance in smokers on attentionally and cognitively demanding vigilance tasks [145147] in the absence of withdrawal effects [140, 148150]. In nonsmokers, nicotine speeds reaction times on attention tasks [151]. Potter et al. (2012) found no effect of nicotine on behavioral inhibition in healthy young nonsmokers [152], while improving behavioral inhibition performance in adult attention deficit-hyperactivity disorder (ADHD), suggesting that nicotine may act to optimize attentional mechanisms.

Less exploration of nicotinic stimulation with nicotine has occurred in the cognitive domain of working memory (reviewed by [141, 142]). Experimental animal studies demonstrated improvement in working memory with both acute and chronic nicotine treatment in adults [153]. In human smokers nicotine improved spatial attention but impaired spatial working memory [154]. Nicotine enhanced the ability to inhibit a prepotent response in adult smokers [155] and non-smokers [156, 157]. Little is known about effects of nicotinic stimulation on working memory in older populations. Acute, but not chronic, nicotine enhanced working memory in aged rats [158], but in other studies, chronic nicotine treatment enhanced working memory when given at a low dose [159, 160]. Thus nicotinic stimulation shows potential for benefiting the very cognitive domains impaired in late-life depression.

3.3 Cognitive effects of nicotinic stimulation in clinical populations: nicotine and receptor subtype specific agonists

Newhouse and colleagues first showed evidence of improved memory with intravenous nicotine injection in Alzheimer’s disease subjects [161]. Nicotine administration by subcutaneous injection also improved attention-related tasks in Alzheimer’s disease [162, 163]. Nicotine skin patch treatment has been found to significantly improve cognitive function in Alzheimer’s disease patients [164, 165], but see [166]. The effects of nicotine on the cognitive symptoms of dementia showed improved attention and lessened errors in Alzheimer’s disease patients (see [167] for a review). In a recent study, Newhouse [168] showed that six months of nicotine treatment improved attention and episodic memory in patients with Mild Cognitive Impairment, the precursor condition to Alzheimer’s disease. This finding highlights the fact that even in older adults with pathological cognitive aging the nicotinic system is still responsive to stimulation. The results of these studies suggest that nicotinic stimulation may have specific benefits on several cognitive domains related to attentional performance and secondarily memory associated with cognitive aging and/or impairment.

Regarding executive function, Potter and Newhouse showed positive effects of nicotinic stimulation on measures in adolescents and adults with ADHD [167, 169] and stimulation of nicotinic receptors may improve both cognitive deficits and symptoms in this disorder [170173]. In addition, clinical studies, both treatment trials and acute laboratory studies, found that stimulating nicotinic acetylcholine receptors can improve executive function in ADHD and other disorders [171, 174182]. For example, in schizophrenia, nicotinic stimulation improves both attentional and executive abilities [183, 184].

Neuronal nicotinic receptors are composed of two types of subunits, α and β, of which nine α (α2–α10) and three β (β2–β4) have been found in vertebrates [185187]. Nicotinic receptors have been shown to be mechanistically involved in cognitive function, and nicotinic innervation of the hippocampus, amygdala and frontal cortex has been demonstrated to be vital to memory function [188]. The two most prevalent nicotinic receptors in the brain are α4β2 and α7, and both have been found to be important for cognitive function [189]. Recently, the distribution of the α4β2 subunit was characterized in the human cortex and found to be most densely localized in the insular and anterior cingulate cortices [190], areas important to cognitive process in depression, indicating that nicotinic receptor availability may be relevant to cognitive dysfunction in late-life depression.

In animal models, agonist drugs targeting the specific subtypes of the nicotinic receptor, α4β2 or α7, enhance working memory [191, 192], social recognition memory [193], and attention [194]. Conversely, antagonism of nicotinic receptors carrying the α4β2 or α7 subunits impair working memory [195]. In humans, Potter and colleagues showed positive effects on learning and memory in Alzheimer’s disease of the novel α4β2 nicotinic agonist ABT-418 [196, 197]. In a clinical trials of an α4β2 nicotinic agonist, Dunbar and colleagues (2011) showed that 16 weeks of TC-1734 (AZD 3480) improved attention, episodic memory and a global impression of cognition in patients with age-associated memory impairment [198]. In non-smoking adults with ADHD, the α4β2 nicotinic agonist AZD1446 improved executive functioning [199].

In summary, nicotinic receptors are widely distributed and appear to be intimately involved with a number of cognitive domains impaired in late-life depression. Human clinical and nonclinical studies suggest that stimulating nicotinic receptor function is practical and potentially therapeutic, particularly in age-related disorders and those with executive dysfunction. Long-term studies of nicotinic drugs have not succeeded in Alzheimer disease dementia, as yet. However, nicotinic stimulation may be most effective in older adults with less severe cognitive impairment and more intact nicotinic receptor systems. The improved cognitive outcome following nicotine treatment in Mild Cognitive Impairment [168] suggests that stimulation of neuronal nicotinic receptors is a promising strategy to ameliorate cognitive symptoms of late-life depression.

3.4 Neuroimaging effects of nicotinic stimulation

The effects of nicotinic cholinergic modulation on cognitive processing and related brain circuitry have been examined in neuroimaging studies (reviewed by [129, 200]). As a result of normal aging, endogenous cholinergic activity may increasingly engage frontally-mediated attentional processes to resolve uncertainties regarding sensory input and the contents of working memory [201]. This may have the effect of producing increased frontal activation that has been seen when older adults perform at the same level as younger adults during functional magnetic resonance imaging. Some studies have shown that this frontal increase is necessary to maintain performance accuracy [202, 203]. Nicotinic receptor dysfunction and loss may reduce the ability for individuals with late-life depression to increase cortical activation during task performance, resulting in significant performance impairments.

There is a large literature on the effects of the cholinergic agonist nicotine on the functional brain circuitry of younger adults. Much of the research in young adults examined smoking status and the functional circuitry involved in attention and working memory affected by nicotine. During attention and memory tasks in smokers, nicotinic stimulation reduces activation in parietal regions [204] and regions associated with the default mode network and internal thought processes [205]. Also in nonsmokers, nicotinic stimulation reduces parietal activation during an attention task [206]. While performing an N-back working memory task, nicotinic stimulation improved accuracy and speeded performance in nonsmokers [207]. Further, Kumari et al. (2003) [207] found that nicotinic stimulation increased activation in brain regions commonly involved in N-back performance [208], i.e. the superior frontal gyrus, anterior cingulate, and the superior parietal cortex. Thus, the effects of nicotinic stimulation are heterogeneous across brain regions, but appear to decrease off-task processing and increase activation of regions relevant to attention and memory performance.

4. Effects of nicotinic receptor stimulation and blockade on depressed mood

A role for the cholinergic system in mediating mood has been long-considered and, recently, nicotinic blockade has been studied for alleviation of mood symptoms in depression. A role for the cholinergic system in mediating mood, originally, emerged from findings that cholinesterase inhibitors increased depressive symptoms in non-depressed [209211], depressed [30], and remitted depressed individuals [17]. Janowsky (1972) hypothesized that the cholinergic system acts in balance with the adrenergic system to mediate mood, such that depression results from over-activation of the cholinergic system [29]. Supporting a direct effect of cholinergic over-activity in depression, depressed patients showed increased central concentrations of choline, the precursor of acetylcholine [212, 213], which declined following recovery [212].

Depressed patients are twice as likely to smoke as the general population [214], potentially to self-medicate depressive symptoms with nicotine. Ratings of anxiety and depression were progressively higher with heavier smoking habit compared to never smokers [215], and relapse most often occurs in the presence of negative affect [216]. In a prospective study, teenagers with higher depressive scores were more likely to be smokers nine years later [217]. Nicotinic manipulation has shown mixed effects on mood disorders, likely due to smoking history of subjects and the plasticity of nicotinic receptors following prolonged continuous exposure to nicotine. Improved depressive symptoms following nicotinic blockade with the antagonist drug, mecamylamine, were found in patients with tardive dyskinesia [218], particularly in individuals with comorbid major depression [219]. In one study of refractory major depressive disorder patients, mecamylamine was effective as adjuvant to an antidepressant [220]. In rodent models, mecamylamine and competitive nicotinic antagonist, DHβE, also had antidepressant-like properties [221223]. On the other hand, treatment with nicotine improved mood in nonsmoking major depressed patients [224226].

Nicotine-induced benefit to mood has been explained as resulting from desensitization of nicotinic receptors following prolonged exposure, such that continued nicotine exposure decreases activity at nicotinic receptors, effectively acting as an antagonist [227, 228]. In vitro, nicotinic partial agonists led to inactivation of the α4β2 subtype of nicotinic receptors when applied in the presence of a full nicotinic agonist or applied for a longer duration [229]. In mouse models, improved depressive-like behaviors following treatment with mecamylamine and cytisine, a nicotinic partial agonist, coincided with decreased molecular markers of cell activation [223], indicating that an nicotinic receptor agonist can result in decreased cell activity and depressive symptoms similarly to a nicotinic receptor antagonist. Varenicline is another nicotinic partial agonist at the α4β2 receptor and full agonist at the α7 receptors [230, 231] and is currently used to aid in smoking cessation. Individual case reports have suggested varenicline increased depressive symptoms in some individuals participating in smoking cessation treatment [232234]. However, placebo-controlled studies and meta-analyses did not support this and showed that overall varenicline treatment blunted the increase in depressive symptoms associated with smoking cessation [235, 236]. Analyses of case reports of adverse reactions showed mixed effects of varenicline on suicidal behavior, with reports of increased risk [233] and no change in risk [237], compared to other medications for smoking cessation. In rats, chronic nicotine administration elicited antidepressant-like effects [238241]. Interestingly, antidepressant effects were also seen following more acute treatment of nicotine or subtype selective nicotinic agonists [240, 241], although it is not known whether nicotinic receptors were desensitized following the shorter schedules of administration in these studies.

Multi-center clinical trials of nicotinic blockade as adjunct therapy to an antidepressant however were ineffective in patients with major depressive disorder who did not respond to treatment with the antidepressant alone. The compound tested, TC-5214, is an S-(+)enantiomer of mecamylamine and non-competitive antagonist of nicotinic receptors. TC-5214 showed success in rodent models of depression on a thorough behavioral battery [242], but Targacept issued a press release in March of 2012 reporting no significant effect in several clinical trials in patients with major depressive disorder as an adjunct to ongoing antidepressant treatment. Despite the mixed findings of nicotinic stimulation or blockade in mood disorders, it is possible that nicotinic stimulation will improve impaired cognition in depression. Particularly in late-life depression, nicotinic adjunct to antidepressant treatment may provide an additional modality to alleviation of depressive syndrome, by treating the cognitive impairment that is a significant concomitant of depression in aging.

5. Potential role of nicotinic receptor stimulation for the treatment of late-life depression

We propose that late-life depression in particular is dually characterized by mood and cognitive symptoms and should ideally, thus, be treated with an antidepressant and cognitive enhancer. Figure 2 describes how nicotinic receptor stimulation could benefit neural mechanisms underlying cognition and, consequent, cognitive performance. As has been previously reviewed [129], nicotinic administration results in altered brain activity during attentional, memory, and cognitive control tasks. Thus, individuals with suboptimal cognitive performance such as in late-life depression are more likely to benefit from drugs targeting nicotinic stimulation [167]. In such individuals, cholinergic-driven performance improvements may be accompanied by increases in activity of brain regions engaged by those tasks and decreases in off-task areas [243]. We thus propose that nicotinic agonists will increase task-related brain activity in frontal regions engaged in top-down attention and cognitive control. Through this mechanism, we hypothesize that nicotinic stimulation will also result in improved executive function [244]. We propose that nicotinic stimulation would also influence the default mode network activity. The default mode network is a set of midline regions more active at rest that exhibit decreased activity during task performance [245]. Greater activity of default mode network regions during tasks is associated with poorer performance on tests of attention [246, 247], executive function [247], and processing speed [248250]. Nicotinic agonist administration during tasks decreases activity in default mode network regions including the anterior and posterior cingulate and medial frontal gyri, and precuneus, during task performance [205, 251253] and at rest [253]. Nicotinic stimulation also enhances the expected inverse coupling between the default mode network and the executive control network [253, 254]. This increase in default mode network deactivation during tasks correlates with improved performance on attentional tasks [251, 255]. We hypothesize that drugs targeting nicotinic stimulation will improve performance on tests of attention, memory, processing speed, and executive function in depressed patients. These changes will be mediated by increased activity in the attentional and cognitive control networks and by conversely decreased activity in default mode network regions during cognitive tasks.

Figure 2.

Figure 2

Model for how nicotinic stimulation may improve cognitive and mood symptoms in late-life depression: Stimulation of neuronal nicotinic receptors improves cognition by increasing task-relevant and decreasing off-task neural activation. Frontally-mediated attention and cognitive control networks will increase in activity or efficiency and the ruminative, default mode network will decrease in activation while individuals are on-task. Greater task-oriented processing will lead to improved attention, response inhibition, and processing speed, which will contribute to improved executive functioning. The cognitive components of the mood dysfunction in depression will also receive benefit from nicotinic stimulation, directly resulting from more efficient neural activation patterns and downstream from improved executive functioning. With less severe bias and reactivity to negative stimuli and decreased maladaptive rumination, antidepressant and/or psychotherapeutic treatment will be more effective in relieving mood symptoms of depression.

In addition to the direct benefit on cognition, we propose that nicotinic stimulation can also have downstream effects on mood, by alleviating cognitive attributes of depression. Depressed individuals show biases towards negative stimuli [256], reactivity to negative stimuli [257], and maladaptive rumination [258]. By increasing activity in the frontal and cognitive control networks, decreasing activity of the default mode network, and improving executive functioning, nicotinic stimulation may decrease negative thought patterns in depression. With the weaker influence of negative thought patterns, depressed patients may gain greater benefit on mood from structured antidepressive psychotherapies or medication therapy. Cognitive improvements resulting from nicotinic stimulation may, thus, improve cognitive and mood symptoms of late-life depression.

6. Conclusions and future perspectives

Late-life depression is a multi-faceted syndrome with marked cognitive impairment that appears to play a substantial role in the poorer prognosis and worse outcome of treatment. We propose that treatment of late-life depression may benefit from a cognitive enhancer targeting stimulation of nicotinic acetylcholine receptors, in addition to standard antidepressant medication. Little is known regarding nicotinic stimulation in depression generally and even less is known regarding such stimulation in elderly depressed patients on cognitive or mood outcomes. Studies are needed to understand how nicotine and agonists targeting nicotinic receptor subtypes affect neural activation patterns during rest and when processing cognitive tasks and emotional stimuli. Furthermore, studies should examine the domains of cognitive and/ or emotional processing that are most sensitive to nicotinic stimulation. Pilot translational and clinical studies are necessary to validate the hypotheses proposed here and examine the potential directly for nicotinic stimulation to improve cognitive function, mood, and functional outcome in late-life depression. Of particular importance, studies are needed to identify novel nicotinic agonists that can be added to antidepressant treatment for the enhancement of cognition, and potentially mood, in late-life depression, thus representing a new target for nicotinic drug development.

Acknowledgments

Funding: NIA R01 AG021476

Footnotes

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References

  • 1.Steffens DC, Potter GG. Geriatric depression and cognitive impairment. Psychol Med. 2008;38:163–75. doi: 10.1017/S003329170700102X. [DOI] [PubMed] [Google Scholar]
  • 2.Johnson JK, Lui LY, Yaffe K. Executive function, more than global cognition, predicts functional decline and mortality in elderly women. J Gerontol A Biol Sci Med Sci. 2007;62:1134–41. doi: 10.1093/gerona/62.10.1134. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Potter GG, Kittinger JD, Wagner HR, Steffens DC, Krishnan KR. Prefrontal neuropsychological predictors of treatment remission in late-life depression. Neuropsychopharmacology. 2004;29:2266–71. doi: 10.1038/sj.npp.1300551. [DOI] [PubMed] [Google Scholar]
  • 4.Sheline YI, Pieper CF, Barch DM, Welsh-Bohmer K, McKinstry RC, MacFall JR, et al. Support for the vascular depression hypothesis in late-life depression: results of a 2-site, prospective, antidepressant treatment trial. Arch Gen Psychiatry. 2010;67:277–85. doi: 10.1001/archgenpsychiatry.2009.204. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.McLennan SN, Mathias JL. The depression-executive dysfunction (DED) syndrome and response to antidepressants: a meta-analytic review. Int J Geriatr Psychiatry. 2010;25:933–44. doi: 10.1002/gps.2431. [DOI] [PubMed] [Google Scholar]
  • 6.Alexopoulos GS, Meyers BS, Young RC, Kalayam B, Kakuma T, Gabrielle M, et al. Executive dysfunction and long-term outcomes of geriatric depression. Arch Gen Psychiatry. 2000;57:285–90. doi: 10.1001/archpsyc.57.3.285. [DOI] [PubMed] [Google Scholar]
  • 7.Beekman AT, Geerlings SW, Deeg DJ, Smit JH, Schoevers RS, de Beurs E, et al. The natural history of late-life depression: a 6-year prospective study in the community. Arch Gen Psychiatry. 2002;59:605–11. doi: 10.1001/archpsyc.59.7.605. [DOI] [PubMed] [Google Scholar]
  • 8.Butters MA, Becker JT, Nebes RD, Zmuda MD, Mulsant BH, Pollock BG, et al. Changes in cognitive functioning following treatment of late-life depression. The American journal of psychiatry. 2000;157:1949–54. doi: 10.1176/appi.ajp.157.12.1949. [DOI] [PubMed] [Google Scholar]
  • 9.Nebes RD, Pollock BG, Houck PR, Butters MA, Mulsant BH, Zmuda MD, et al. Persistence of cognitive impairment in geriatric patients following antidepressant treatment: a randomized, double-blind clinical trial with nortriptyline and paroxetine. J Psychiatr Res. 2003;37:99–108. doi: 10.1016/s0022-3956(02)00085-7. [DOI] [PubMed] [Google Scholar]
  • 10.Murphy CF, Alexopoulos GS. Longitudinal association of initiation/perseveration and severity of geriatric depression. The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry. 2004;12:50–6. [PubMed] [Google Scholar]
  • 11.Bhalla RK, Butters MA, Mulsant BH, Begley AE, Zmuda MD, Schoderbek B, et al. Persistence of neuropsychologic deficits in the remitted state of late-life depression. The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry. 2006;14:419–27. doi: 10.1097/01.JGP.0000203130.45421.69. [DOI] [PubMed] [Google Scholar]
  • 12.Lee JS, Potter GG, Wagner HR, Welsh-Bohmer KA, Steffens DC. Persistent mild cognitive impairment in geriatric depression. International psychogeriatrics / IPA. 2007;19:125–35. doi: 10.1017/S1041610206003607. [DOI] [PubMed] [Google Scholar]
  • 13.Lavretsky H, Kumar A. Methylphenidate augmentation of citalopram in elderly depressed patients. The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry. 2001;9:298–303. [PubMed] [Google Scholar]
  • 14.Lavretsky H, Kim MD, Kumar A, Reynolds CF., 3rd Combined treatment with methylphenidate and citalopram for accelerated response in the elderly: an open trial. J Clin Psychiatry. 2003;64:1410–4. doi: 10.4088/jcp.v64n1202. [DOI] [PubMed] [Google Scholar]
  • 15.Lavretsky H, Park S, Siddarth P, Kumar A, Reynolds CF., 3rd Methylphenidate-enhanced antidepressant response to citalopram in the elderly: a double-blind, placebo-controlled pilot trial. The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry. 2006;14:181–5. doi: 10.1097/01.JGP.0000192503.10692.9f. [DOI] [PubMed] [Google Scholar]
  • 16.Lenze EJ, Skidmore ER, Begley AE, Newcomer JW, Butters MA, Whyte EM. Memantine for late-life depression and apathy after a disabling medical event: a 12-week, double-blind placebo-controlled pilot study. Int J Geriatr Psychiatry. 2012;27:974–80. doi: 10.1002/gps.2813. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Reynolds CF, 3rd, Butters MA, Lopez O, Pollock BG, Dew MA, Mulsant BH, et al. Maintenance treatment of depression in old age: a randomized, double-blind, placebo-controlled evaluation of the efficacy and safety of donepezil combined with antidepressant pharmacotherapy. Arch Gen Psychiatry. 2011;68:51–60. doi: 10.1001/archgenpsychiatry.2010.184. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Arean PA, Raue P, Mackin RS, Kanellopoulos D, McCulloch C, Alexopoulos GS. Problem-solving therapy and supportive therapy in older adults with major depression and executive dysfunction. The American journal of psychiatry. 2010;167:1391–8. doi: 10.1176/appi.ajp.2010.09091327. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Alexopoulos GS, Raue PJ, Kiosses DN, Mackin RS, Kanellopoulos D, McCulloch C, et al. Problem-solving therapy and supportive therapy in older adults with major depression and executive dysfunction: effect on disability. Arch Gen Psychiatry. 2011;68:33–41. doi: 10.1001/archgenpsychiatry.2010.177. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Morimoto SS, Wexler BE, Alexopoulos GS. Neuroplasticity-based computerized cognitive remediation for geriatric depression. Int J Geriatr Psychiatry. 2012;27:1239–47. doi: 10.1002/gps.3776. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Demirtas-Tatlidede A, Vahabzadeh-Hagh AM, Pascual-Leone A. Can noninvasive brain stimulation enhance cognition in neuropsychiatric disorders? Neuropharmacology. 2013;64:566–78. doi: 10.1016/j.neuropharm.2012.06.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Pimontel MA, Culang-Reinlieb ME, Morimoto SS, Sneed JR. Executive dysfunction and treatment response in late-life depression. International Journal of Geriatric Psychiatry. 2012;27:893–9. doi: 10.1002/gps.2808. [DOI] [PubMed] [Google Scholar]
  • 23.Dumas JA, Newhouse PA. The cholinergic hypothesis of cognitive aging revisited again: cholinergic functional compensation. Pharmacology, biochemistry, and behavior. 2011;99:254–61. doi: 10.1016/j.pbb.2011.02.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Newhouse PA, Potter A, Corwin J, Lenox R. Acute nicotinic blockade produces cognitive impairment in normal humans. Psychopharmacology. 1992;108:480–4. doi: 10.1007/BF02247425. [DOI] [PubMed] [Google Scholar]
  • 25.Newhouse PA, Potter A, Lenox R. The effects of nicotinic agents on human cognition: Possible therapeutic applications in Alzheimer’s and Parkinson’s diseases. Medicinal Chemistry Research. 1993;2:628–42. [Google Scholar]
  • 26.Newhouse PA, Potter A, Corwin J, Lenox R. Age-related effects of the nicotinic antagonist mecamylamine on cognition and behavior. Neuropsychopharmacology. 1994;10:93–107. doi: 10.1038/npp.1994.11. [DOI] [PubMed] [Google Scholar]
  • 27.Sunderland T, Tariot PN, Cohen RM, Weingartner H, Mueller EA, III, Murphy DL. Anticholinergic sensitivity in patients with dementia of the Alzheimer type and age-matched controls: a dose-response study. Archives of General Psychiatry. 1987:44. doi: 10.1001/archpsyc.1987.01800170032006. [DOI] [PubMed] [Google Scholar]
  • 28.Sadowsky CH, Galvin JE. Guidelines for the Management of Cognitive and Behavioral Problems in Dementia. The Journal of the American Board of Family Medicine. 2012;25:350–66. doi: 10.3122/jabfm.2012.03.100183. [DOI] [PubMed] [Google Scholar]
  • 29.Janowsky DS, Davis JM, El-Yousef MK, Sekerke HJ. A cholinergic-adrenergic hypothesis of mania and depression. Lancet, The. 1972;300:632–5. doi: 10.1016/s0140-6736(72)93021-8. [DOI] [PubMed] [Google Scholar]
  • 30.Janowsky DS, el-Yousef MK, Davis JM. Acetylcholine and depression. Psychosomatic Medicine. 1974;36:248–57. doi: 10.1097/00006842-197405000-00008. [DOI] [PubMed] [Google Scholar]
  • 31.Furey Ml, Drevets WC. Antidepressant efficacy of the antimuscarinic drug scopolamine: A randomized, placebo-controlled clinical trial. Archives of General Psychiatry. 2006;63:1121–9. doi: 10.1001/archpsyc.63.10.1121. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Drevets WC, Zarate CA, Jr, Furey ML. Antidepressant Effects of the Muscarinic Cholinergic Receptor Antagonist Scopolamine: A Review. Biological Psychiatry. 2012 doi: 10.1016/j.biopsych.2012.09.031. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Newhouse PA, Sunderland T, Tariot PN, Weingartner H, Thomason K, Mellow AM, et al. The effects of acute scopolamine in geriatric depression. Archives of General Psychiatry. 1988;45:906–12. doi: 10.1001/archpsyc.1988.01800340028004. [DOI] [PubMed] [Google Scholar]
  • 34.Alexopoulos GS. Depression in the elderly. Lancet. 2005;365:1961–70. doi: 10.1016/S0140-6736(05)66665-2. [DOI] [PubMed] [Google Scholar]
  • 35.Oxman TE, Barrett JE, Barrett J, Gerber P. Symptomatology of late-life minor depression among primary care patients. Psychosomatics. 1990;31:174–80. doi: 10.1016/S0033-3182(90)72191-3. [DOI] [PubMed] [Google Scholar]
  • 36.Lyness JM, King DA, Cox C, Yoediono Z, Caine ED. The importance of subsyndromal depression in older primary care patients: prevalence and associated functional disability. J Am Geriatr Soc. 1999;47:647–52. doi: 10.1111/j.1532-5415.1999.tb01584.x. [DOI] [PubMed] [Google Scholar]
  • 37.Carney RM, Rich MW, Tevelde A, Saini J, Clark K, Jaffe AS. Major depressive disorder in coronary artery disease. Am J Cardiol. 1987;60:1273–5. doi: 10.1016/0002-9149(87)90607-2. [DOI] [PubMed] [Google Scholar]
  • 38.Forrester AW, Lipsey JR, Teitelbaum ML, DePaulo JR, Andrzejewski PL. Depression following myocardial infarction. Int J Psychiatry Med. 1992;22:33–46. doi: 10.2190/CJ9D-32C2-8CM7-FT3D. [DOI] [PubMed] [Google Scholar]
  • 39.Frasure-Smith N, Lesperance F, Talajic M. Depression following myocardial infarction. Impact on 6-month survival. JAMA. 1993;270:1819–25. [PubMed] [Google Scholar]
  • 40.Gonzalez MB, Snyderman TB, Colket JT, Arias RM, Jiang JW, O’Connor CM, et al. Depression in patients with coronary artery disease. Depression. 1996;4:57–62. doi: 10.1002/(SICI)1522-7162(1996)4:2<57::AID-DEPR3>3.0.CO;2-C. [DOI] [PubMed] [Google Scholar]
  • 41.Jiang W, Alexander J, Christopher E, Kuchibhatla M, Gaulden LH, Cuffe MS, et al. Relationship of depression to increased risk of mortality and rehospitalization in patients with congestive heart failure. Arch Intern Med. 2001;161:1849–56. doi: 10.1001/archinte.161.15.1849. [DOI] [PubMed] [Google Scholar]
  • 42.Anderson RJ, Freedland KE, Clouse RE, Lustman PJ. The prevalence of comorbid depression in adults with diabetes: a meta-analysis. Diabetes Care. 2001;24:1069–78. doi: 10.2337/diacare.24.6.1069. [DOI] [PubMed] [Google Scholar]
  • 43.Craig TJ, Abeloff MD. Psychiatric symptomatology among hospitalized cancer patients. The American journal of psychiatry. 1974;131:1323–7. [PubMed] [Google Scholar]
  • 44.Derogatis LR, Morrow GR, Fetting J, Penman D, Piasetsky S, Schmale AM, et al. The prevalence of psychiatric disorders among cancer patients. JAMA. 1983;249:751–7. doi: 10.1001/jama.249.6.751. [DOI] [PubMed] [Google Scholar]
  • 45.Campbell LC, Clauw DJ, Keefe FJ. Persistent pain and depression: a biopsychosocial perspective. Biol Psychiatry. 2003;54:399–409. doi: 10.1016/s0006-3223(03)00545-6. [DOI] [PubMed] [Google Scholar]
  • 46.Nygaard I, Turvey C, Burns TL, Crischilles E, Wallace R. Urinary incontinence and depression in middle-aged United States women. Obstet Gynecol. 2003;101:149–56. doi: 10.1016/s0029-7844(02)02519-x. [DOI] [PubMed] [Google Scholar]
  • 47.Sinanovic O. Psychiatric disorders in neurology. Psychiatria Danubina. 2012;24 (Suppl 3):S331–5. [PubMed] [Google Scholar]
  • 48.Richard ERCHLH, et al. Late-life depression, mild cognitive impairment, and dementia. JAMA Neurology. 2013;70:383–9. doi: 10.1001/jamaneurol.2013.603. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Baumgarten M, Battista RN, Infante-Rivard C, Hanley JA, Becker R, Gauthier S. The psychological and physical health of family members caring for an elderly person with dementia. Journal of Clinical Epidemiology. 1992;45:61–70. doi: 10.1016/0895-4356(92)90189-t. [DOI] [PubMed] [Google Scholar]
  • 50.Pohl JM, Given CW, Collins CE, Given BA. Social vulnerability and reactions to caregiving in daughters and daughters-in-law caring for disabled aging parents. Health care for women international. 1994;15:385–95. doi: 10.1080/07399339409516131. [DOI] [PubMed] [Google Scholar]
  • 51.Rotella F, Mannucci E. Depression as a risk factor for diabetes: a meta-analysis of longitudinal studies. J Clin Psychiatry. 2013;74:31–7. doi: 10.4088/JCP.12r07922. [DOI] [PubMed] [Google Scholar]
  • 52.Penninx BW, Beekman AT, Honig A, Deeg DJ, Schoevers RA, van Eijk JT, et al. Depression and cardiac mortality: results from a community-based longitudinal study. Arch Gen Psychiatry. 2001;58:221–7. doi: 10.1001/archpsyc.58.3.221. [DOI] [PubMed] [Google Scholar]
  • 53.Pohjasvaara T, Vataja R, Leppavuori A, Kaste M, Erkinjuntti T. Depression is an independent predictor of poor long-term functional outcome post-stroke. European journal of neurology : the official journal of the European Federation of Neurological Societies. 2001;8:315–9. doi: 10.1046/j.1468-1331.2001.00182.x. [DOI] [PubMed] [Google Scholar]
  • 54.Penninx BW, Leveille S, Ferrucci L, van Eijk JT, Guralnik JM. Exploring the effect of depression on physical disability: longitudinal evidence from the established populations for epidemiologic studies of the elderly. Am J Public Health. 1999;89:1346–52. doi: 10.2105/ajph.89.9.1346. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Schulz R, Drayer RA, Rollman BL. Depression as a risk factor for non-suicide mortality in the elderly. Biological Psychiatry. 2002;52:205–25. doi: 10.1016/s0006-3223(02)01423-3. [DOI] [PubMed] [Google Scholar]
  • 56.Iosifescu DV. The relation between mood, cognition and psychosocial functioning in psychiatric disorders. European Neuropsychopharmacology. 2012;22(Supplement 3):S499–S504. doi: 10.1016/j.euroneuro.2012.08.002. [DOI] [PubMed] [Google Scholar]
  • 57.SALTHOUSE TA. Selective review of cognitive aging. Journal of the International Neuropsychological Society. 2010;16:754–60. doi: 10.1017/S1355617710000706. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Weisenbach SL, Boore LA, Kales HC. Depression and Cognitive Impairment in Older Adults. Current Psychiatry Reports. 2012;14:280–8. doi: 10.1007/s11920-012-0278-7. [DOI] [PubMed] [Google Scholar]
  • 59.Boone KB, Lesser IM, Miller BL, Wohl M, Berman N, Lee A, et al. Cognitive functioning in older depressed outpatients: Relationship of presence and severity of depression to neuropsychological test scores. Neuropsychology. 1995;9:390–8. [Google Scholar]
  • 60.Beats BC, Sahakian BJ, Levy R. Cognitive performance in tests sensitive to frontal lobe dysfunction in the elderly depressed. Psychol Med. 1996;26:591–603. doi: 10.1017/s0033291700035662. [DOI] [PubMed] [Google Scholar]
  • 61.Lesser IM, Boone KB, Mehringer CM, Wohl MA, Miller BL, Berman NG. Cognition and white matter hyperintensities in older depressed patients. The American journal of psychiatry. 1996;153:1280–7. doi: 10.1176/ajp.153.10.1280. [DOI] [PubMed] [Google Scholar]
  • 62.Nebes RD, Butters MA, Mulsant BH, Pollock BG, Zmuda MD, Houck PR, et al. Decreased working memory and processing speed mediate cognitive impairment in geriatric depression. Psychol Med. 2000;30:679–91. doi: 10.1017/s0033291799001968. [DOI] [PubMed] [Google Scholar]
  • 63.Butters MA, Whyte EM, Nebes RD, Begley AE, Dew MA, Mulsant BH, et al. The nature and determinants of neuropsychological functioning in late-life depression. Arch Gen Psychiatry. 2004;61:587–95. doi: 10.1001/archpsyc.61.6.587. [DOI] [PubMed] [Google Scholar]
  • 64.Sheline YI, Barch DM, Garcia K, Gersing K, Pieper C, Welsh-Bohmer K, et al. Cognitive function in late life depression: relationships to depression severity, cerebrovascular risk factors and processing speed. Biological Psychiatry. 2006;60:58–65. doi: 10.1016/j.biopsych.2005.09.019. [DOI] [PubMed] [Google Scholar]
  • 65.Sexton CE, McDermott L, Kalu UG, Herrmann LL, Bradley KM, Allan CL, et al. Exploring the pattern and neural correlates of neuropsychological impairment in late-life depression. Psychol Med. 2012;42:1195–202. doi: 10.1017/S0033291711002352. [DOI] [PubMed] [Google Scholar]
  • 66.Taylor WD, Wagner HR, Steffens DC. Greater depression severity associated with less improvement in depression-associated cognitive deficits in older subjects. The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry. 2002;10:632–5. [PubMed] [Google Scholar]
  • 67.Alexopoulos GS, Kiosses DN, Murphy C, Heo M. Executive dysfunction, heart disease burden, and remission of geriatric depression. Neuropsychopharmacology. 2004;29:2278–84. doi: 10.1038/sj.npp.1300557. [DOI] [PubMed] [Google Scholar]
  • 68.Baldwin R, Jeffries S, Jackson A, Sutcliffe C, Thacker N, Scott M, et al. Treatment response in late-onset depression: relationship to neuropsychological, neuroradiological and vascular risk factors. Psychol Med. 2004;34:125–36. doi: 10.1017/s0033291703008870. [DOI] [PubMed] [Google Scholar]
  • 69.Morimoto SS, Gunning FM, Kanellopoulos D, Murphy CF, Klimstra SA, Kelly RE, Jr, et al. Semantic organizational strategy predicts verbal memory and remission rate of geriatric depression. Int J Geriatr Psychiatry. 2012;27:506–12. doi: 10.1002/gps.2743. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Kalayam B, Alexopoulos GS. Prefrontal dysfunction and treatment response in geriatric depression. Arch Gen Psychiatry. 1999;56:713–8. doi: 10.1001/archpsyc.56.8.713. [DOI] [PubMed] [Google Scholar]
  • 71.Story TJ, Potter GG, Attix DK, Welsh-Bohmer KA, Steffens DC. Neurocognitive correlates of response to treatment in late-life depression. The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry. 2008;16:752–9. doi: 10.1097/JGP.0b013e31817e739a. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Barch DM, D’Angelo G, Pieper C, Wilkins CH, Welsh-Bohmer K, Taylor W, et al. Cognitive improvement following treatment in late-life depression: relationship to vascular risk and age of onset. The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry. 2012;20:682–90. doi: 10.1097/JGP.0b013e318246b6cb. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Potter GG, McQuoid DR, Payne ME, Taylor WD, Steffens DC. Association of attentional shift and reversal learning to functional deficits in geriatric depression. Int J Geriatr Psychiatry. 2012;27:1172–9. doi: 10.1002/gps.3764. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Alexopoulos GS. The depression-executive dysfunction syndrome of late life”: a specific target for D3 agonists? The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry. 2001;9:22–9. [PubMed] [Google Scholar]
  • 75.Alexopoulos GS, Kiosses DN, Heo M, Murphy CF, Shanmugham B, Gunning-Dixon F. Executive dysfunction and the course of geriatric depression. Biological Psychiatry. 2005;58:204–10. doi: 10.1016/j.biopsych.2005.04.024. [DOI] [PubMed] [Google Scholar]
  • 76.Bogner HR, Bruce ML, Reynolds CF, 3rd, Mulsant BH, Cary MS, Morales K, et al. The effects of memory, attention, and executive dysfunction on outcomes of depression in a primary care intervention trial: the PROSPECT study. Int J Geriatr Psychiatry. 2007;22:922–9. doi: 10.1002/gps.1767. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Sneed JR, Roose SP, Keilp JG, Krishnan KR, Alexopoulos GS, Sackeim HA. Response inhibition predicts poor antidepressant treatment response in very old depressed patients. The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry. 2007;15:553–63. doi: 10.1097/JGP.0b013e3180302513. [DOI] [PubMed] [Google Scholar]
  • 78.Bella R, Pennisi G, Cantone M, Palermo F, Pennisi M, Lanza G, et al. Clinical presentation and outcome of geriatric depression in subcortical ischemic vascular disease. Gerontology. 2010;56:298–302. doi: 10.1159/000272003. [DOI] [PubMed] [Google Scholar]
  • 79.Gallagher D, Mhaolain AN, Greene E, Walsh C, Denihan A, Bruce I, et al. Late life depression: a comparison of risk factors and symptoms according to age of onset in community dwelling older adults. Int J Geriatr Psychiatry. 2010;25:981–7. doi: 10.1002/gps.2438. [DOI] [PubMed] [Google Scholar]
  • 80.Kohler S, Thomas AJ, Barnett NA, O’Brien JT. The pattern and course of cognitive impairment in late-life depression. Psychol Med. 2010;40:591–602. doi: 10.1017/S0033291709990833. [DOI] [PubMed] [Google Scholar]
  • 81.Janssen J, Beekman AT, Comijs HC, Deeg DJ, Heeren TJ. Late-life depression: the differences between early- and late-onset illness in a community-based sample. Int J Geriatr Psychiatry. 2006;21:86–93. doi: 10.1002/gps.1428. [DOI] [PubMed] [Google Scholar]
  • 82.Rapp MA, Dahlman K, Sano M, Grossman HT, Haroutunian V, Gorman JM. Neuropsychological differences between late-onset and recurrent geriatric major depression. The American journal of psychiatry. 2005;162:691–8. doi: 10.1176/appi.ajp.162.4.691. [DOI] [PubMed] [Google Scholar]
  • 83.Herrmann LL, Goodwin GM, Ebmeier KP. The cognitive neuropsychology of depression in the elderly. Psychol Med. 2007;37:1693–702. doi: 10.1017/S0033291707001134. [DOI] [PubMed] [Google Scholar]
  • 84.Jeon T, Mishra V, Uh J, Weiner M, Hatanpaa KJ, White CL, III, et al. Regional changes of cortical mean diffusivities with aging after correction of partial volume effects. NeuroImage. 2012;62:1705–16. doi: 10.1016/j.neuroimage.2012.05.082. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Taylor WD, MacFall JR, Steffens DC, Payne ME, Provenzale JM, Krishnan KR. Localization of age-associated white matter hyperintensities in late-life depression. Prog Neuropsychopharmacol Biol Psychiatry. 2003;27:539–44. doi: 10.1016/S0278-5846(02)00358-5. [DOI] [PubMed] [Google Scholar]
  • 86.Taylor WD, Steffens DC, McQuoid DR, Payne ME, Lee SH, Lai TJ, et al. Smaller orbital frontal cortex volumes associated with functional disability in depressed elders. Biological Psychiatry. 2003;53:144–9. doi: 10.1016/s0006-3223(02)01490-7. [DOI] [PubMed] [Google Scholar]
  • 87.Chang C-C, Yu S-C, McQuoid DR, Messer DF, Taylor WD, Singh K, et al. Reduction of dorsolateral prefrontal cortex gray matter in late-life depression. Psychiatry Research: Neuroimaging. 2011;193:1–6. doi: 10.1016/j.pscychresns.2011.01.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Burke J, McQuoid DR, Payne ME, Steffens DC, Krishnan RR, Taylor WD. Amygdala volume in late-life depression: relationship with age of onset. The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry. 2011;19:771–6. doi: 10.1097/JGP.0b013e318211069a. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Zhao Z, Taylor WD, Styner M, Steffens DC, Krishnan KR, MacFall JR. Hippocampus shape analysis and late-life depression. PLoS ONE. 2008;3:e1837. doi: 10.1371/journal.pone.0001837. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Dotson VM, Davatzikos C, Kraut MA, Resnick SM. Depressive symptoms and brain volumes in older adults: a longitudinal magnetic resonance imaging study. J Psychiatry Neurosci. 2009;34:367–75. [PMC free article] [PubMed] [Google Scholar]
  • 91.Taylor WD, MacFall JR, Payne ME, McQuoid DR, Provenzale JM, Steffens DC, et al. Late-life depression and microstructural abnormalities in dorsolateral prefrontal cortex white matter. The American journal of psychiatry. 2004;161:1293–6. doi: 10.1176/appi.ajp.161.7.1293. [DOI] [PubMed] [Google Scholar]
  • 92.Taylor WD, Kuchibhatla M, Payne ME, Macfall JR, Sheline YI, Krishnan KR, et al. Frontal white matter anisotropy and antidepressant remission in late-life depression. PLoS ONE. 2008;3:e3267. doi: 10.1371/journal.pone.0003267. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Taylor WD, Macfall JR, Boyd B, Payne ME, Sheline YI, Krishnan RR, et al. One-year change in anterior cingulate cortex white matter microstructure: relationship with late-life depression outcomes. The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry. 2011;19:43–52. doi: 10.1097/JGP.0b013e3181e70cec. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Kumar A, Bilker W, Jin Z, Udupa J. Atrophy and high intensity lesions: complementary neurobiological mechanisms in late-life depression. Neuropsychopharmacology. 2000;22:264–74. doi: 10.1016/S0893-133X(99)00124-4. [DOI] [PubMed] [Google Scholar]
  • 95.Taylor WD, Zhao Z, Ashley-Koch A, Payne ME, Steffens DC, Krishnan RR, et al. Fiber tract-specific white matter lesion severity Findings in late-life depression and by AGTR1 A1166C genotype. Hum Brain Mapp. 2013;34:295–303. doi: 10.1002/hbm.21445. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Taylor WD, Aizenstein HJ, Alexopoulos GS. The vascular depression hypothesis: mechanisms linking vascular disease with depression. Mol Psychiatry. 2013 doi: 10.1038/mp.2013.20. epub. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97.Greenwald BS, Kramer-Ginsberg E, Krishnan RR, Ashtari M, Aupperle PM, Patel M. MRI signal hyperintensities in geriatric depression. The American journal of psychiatry. 1996;153:1212–5. doi: 10.1176/ajp.153.9.1212. [DOI] [PubMed] [Google Scholar]
  • 98.Taylor WD, MacFall JR, Payne ME, McQuoid DR, Steffens DC, Provenzale JM, et al. Greater MRI lesion volumes in elderly depressed subjects than in control subjects. Psychiatry Research: Neuroimaging. 2005;139:1–7. doi: 10.1016/j.pscychresns.2004.08.004. [DOI] [PubMed] [Google Scholar]
  • 99.Coffey CE, Figiel GS, Djang WT, Cress M, Saunders WB, Weiner RD. Leukoencephalopathy in elderly depressed patients referred for ECT. Biological Psychiatry. 1988;24:143–61. doi: 10.1016/0006-3223(88)90270-3. [DOI] [PubMed] [Google Scholar]
  • 100.Coffey CE, Figiel GS, Djang WT, Saunders WB, Weiner RD. White matter hyperintensity on magnetic resonance imaging: clinical and neuroanatomic correlates in the depressed elderly. Journal of Neuropsychiatry. 1989;1:135–44. doi: 10.1176/jnp.1.2.135. [DOI] [PubMed] [Google Scholar]
  • 101.Dolan RJ, Poynton AM, Bridges PK, Trimble MR. Altered magnetic resonance white-matter T1 values in patients with affective disorder. The British Journal of Psychiatry. 1990;157:107–10. doi: 10.1192/bjp.157.1.107. [DOI] [PubMed] [Google Scholar]
  • 102.MacFall JR, Payne ME, Provenzale JE, Krishnan KR. Medial orbital frontal lesions in late-onset depression. Biol Psychiatry. 2001;49:803–6. doi: 10.1016/s0006-3223(00)01113-6. [DOI] [PubMed] [Google Scholar]
  • 103.Firbank MJ, Lloyd AJ, Ferrier N, O’Brien JT. A volumetric study of MRI signal hyperintensities in late-life depression. The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry. 2004;12:606–12. doi: 10.1176/appi.ajgp.12.6.606. [DOI] [PubMed] [Google Scholar]
  • 104.MacFall JR, Taylor WD, Rex DE, Pieper S, Payne ME, McQuoid DR, et al. Lobar distribution of lesion volumes in late-life depression: the Biomedical Informatics Research Network (BIRN) Neuropsychopharmacology. 2006;31:1500–7. doi: 10.1038/sj.npp.1300986. [DOI] [PubMed] [Google Scholar]
  • 105.O’Brien JT, Firbank MJ, Krishnan MS, van Straaten EC, van der Flier WM, Petrovic K, et al. White matter hyperintensities rather than lacunar infarcts are associated with depressive symptoms in older people: the LADIS study. The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry. 2006;14:834–41. doi: 10.1097/01.JGP.0000214558.63358.94. [DOI] [PubMed] [Google Scholar]
  • 106.Taylor WD, Steffens DC, MacFall JR, McQuoid DR, Payne ME, Provenzale JM, et al. White matter hyperintensity progression and late-life depression outcomes. Arch Gen Psychiatry. 2003;60:1090–6. doi: 10.1001/archpsyc.60.11.1090. [DOI] [PubMed] [Google Scholar]
  • 107.Chen PS, McQuoid DR, Payne ME, Steffens DC. White matter and subcortical gray matter lesion volume changes and late-life depression outcome: a 4-year magnetic resonance imaging study. International psychogeriatrics / IPA. 2006;18:445–56. doi: 10.1017/S1041610205002796. [DOI] [PubMed] [Google Scholar]
  • 108.Steffens DC, McQuoid DR, Payne ME, Potter GG. Change in hippocampal volume on magnetic resonance imaging and cognitive decline among older depressed and nondepressed subjects in the neurocognitive outcomes of depression in the elderly study. The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry. 2011;19:4–12. doi: 10.1097/JGP.0b013e3181d6c245. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109.Simpson SW, Baldwin RC, Burns A, Jackson A. Regional cerebral volume measurements in late-life depression: relationship to clinical correlates, neuropsychological impairment and response to treatment. Int J Geriatr Psychiatry. 2001;16:469–76. doi: 10.1002/gps.364. [DOI] [PubMed] [Google Scholar]
  • 110.Alexopoulos GS, Murphy CF, Gunning-Dixon FM, Latoussakis V, Kanellopoulos D, Klimstra S, et al. Microstructural white matter abnormalities and remission of geriatric depression. The American journal of psychiatry. 2008;165:238–44. doi: 10.1176/appi.ajp.2007.07050744. [DOI] [PubMed] [Google Scholar]
  • 111.Alexopoulos GS, Glatt CE, Hoptman MJ, Kanellopoulos D, Murphy CF, Kelly RE, Jr, et al. BDNF val66met polymorphism, white matter abnormalities and remission of geriatric depression. J Affect Disord. 2010;125:262–8. doi: 10.1016/j.jad.2010.02.115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Alexopoulos GS, Hoptman MJ, Kanellopoulos D, Murphy CF, Lim KO, Gunning FM. Functional connectivity in the cognitive control network and the default mode network in late-life depression. J Affect Disord. 2012;139:56–65. doi: 10.1016/j.jad.2011.12.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113.Bartus RT, Dean RL, III, Beer B, Lippa AS. The cholinergic hypothesis of geriatric memory dysfunction. Science. 1982;217:408–17. doi: 10.1126/science.7046051. [DOI] [PubMed] [Google Scholar]
  • 114.Decker MW. The effects of aging on hippocampal and cortical projections of the forebrain cholinergic system. Brain Res. 1987;434:423–38. doi: 10.1016/0165-0173(87)90007-5. [DOI] [PubMed] [Google Scholar]
  • 115.Young-Bernier M, Kamil Y, Tremblay F, Davidson PS. Associations between a neurophysiological marker of central cholinergic activity and cognitive functions in young and older adults. Behavioral and brain functions : BBF. 2012;8:17. doi: 10.1186/1744-9081-8-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116.Deutsch JA. The Cholinergic Synapse and the Site of Memory. Science. 1971;174:788–94. doi: 10.1126/science.174.4011.788. [DOI] [PubMed] [Google Scholar]
  • 117.Terry AV, Jr, Buccafusco JJ, Jackson WJ. Scopolamine reversal of nicotine enhanced delayed matching-to-sample performance in monkeys. Pharmacology Biochemistry and Behavior. 1993;45:925–9. doi: 10.1016/0091-3057(93)90141-f. [DOI] [PubMed] [Google Scholar]
  • 118.Vitiello B, Martin A, Hill J, Mack C, Molchan S, Martinez R, et al. Cognitive and behavioral effects of cholinergic, dopaminergic, and serotonergic blockade in humans. Neuropsychopharmacology. 1997;16:15–24. doi: 10.1016/S0893-133X(96)00134-0. [DOI] [PubMed] [Google Scholar]
  • 119.Elrod K, Buccafusco JJ. Correlation of the amnestic effects of nicotinic antagonists with inhibition of regional brain acetylcholine synthesis in rats. Journal of Pharmacology and Experimental Therapeutics. 1991;258:403–9. [PubMed] [Google Scholar]
  • 120.Newhouse PA, Potter A, Corwin J, Lenox R. Modeling the nicotinic receptor loss in dementia using the nicotinic antagonist mecamylamine: Effects on human cognitive functioning. Drug Development Research. 1994;31:71–9. [Google Scholar]
  • 121.Davis KL, Thal LJ, Gamzu ER, Davis CS, Woolson RF, Gracon SI, et al. A double-blind, placebo-controlled multicenter study of tacrine for Alzheimer’s disease. The Tacrine Collaborative Study Group. N Engl J Med. 1992;327:1253–9. doi: 10.1056/NEJM199210293271801. [DOI] [PubMed] [Google Scholar]
  • 122.Hansen RA, Gartlehner G, Webb AP, Morgan LC, Moore CG, Jonas DE. Efficacy and safety of donepezil, galantamine, and rivastigmine for the treatment of Alzheimer’s disease: a systematic review and meta-analysis. Clin Interv Aging. 2008;3:211–25. [PMC free article] [PubMed] [Google Scholar]
  • 123.Hasselmo ME, Sarter M. Modes and models of forebrain cholinergic neuromodulation of cognition. Neuropsychopharmacology. 2011;36:52–73. doi: 10.1038/npp.2010.104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124.Mitsis EM, Cosgrove KP, Staley JK, Bois F, Frohlich EB, Tamagnan GD, et al. Age-related decline in nicotinic receptor availability with [123I]5-IA-85380 SPECT. Neurobiology of Aging. 2009;30:1490–7. doi: 10.1016/j.neurobiolaging.2007.12.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125.Gotti C, Clementi F. Neuronal nicotinic receptors: from structure to pathology. Progress in Neurobiology. 2004;74:363–96. doi: 10.1016/j.pneurobio.2004.09.006. [DOI] [PubMed] [Google Scholar]
  • 126.Court JA, Lloyd S, Johnson M, Griffiths M, Birdsall NJ, Piggott MA, et al. Nicotinic and muscarinic cholinergic receptor binding in the human hippocampal formation during development and aging. Brain research Developmental brain research. 1997;101:93–105. doi: 10.1016/s0165-3806(97)00052-7. [DOI] [PubMed] [Google Scholar]
  • 127.Utsugisawa K, Nagane Y, Tohgi H, Yoshimura M, Ohba H, Genda Y. Changes with aging and ischemia in nicotinic acetylcholine receptor subunit α7 mRNA expression in postmortem human frontal cortex and putamen. Neuroscience Letters. 1999;270:145–8. doi: 10.1016/s0304-3940(99)00473-5. [DOI] [PubMed] [Google Scholar]
  • 128.Dani JA. Overview of nicotinic receptors and their roles in the central nervous system. Biological Psychiatry. 2001;49:166–74. doi: 10.1016/s0006-3223(00)01011-8. [DOI] [PubMed] [Google Scholar]
  • 129.Newhouse PA, Potter AS, Dumas JA, Thiel CM. Functional brain imaging of nicotinic effects on higher cognitive processes. Biochem Pharmacol. 2011;82:943–51. doi: 10.1016/j.bcp.2011.06.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 130.Picciotto MR, Zoli M. Nicotine Receptors in Aging and Dementia. Journal of Neurobiology. 2002;53:641–55. doi: 10.1002/neu.10102. [DOI] [PubMed] [Google Scholar]
  • 131.Kellar KJ, Whitehouse PJ, Martino-Barrows AM, Marcus K, Price DL. Muscarinic and nicotinic cholinergic binding sites in alzheimer’s disease cerebral cortex. Brain Research. 1987;436:62–8. doi: 10.1016/0006-8993(87)91556-3. [DOI] [PubMed] [Google Scholar]
  • 132.Perry EK. Cortical neurotransmitter chemistry in Alzheimer’s disease. In: Meltzer HY, editor. Psychopharmacology: The Third Generation of Progress. New York: Raven Press; 1987. pp. 887–95. [Google Scholar]
  • 133.Schroder H, Giacobini E, Struble RG, Zilles K, Maelicke A, Luiten PG, et al. Cellular distribution and expression of cortical acetylcholine receptors in aging and Alzheimer’s disease. Ann N Y Acad Sci. 1991;640:189–92. doi: 10.1111/j.1749-6632.1991.tb00215.x. [DOI] [PubMed] [Google Scholar]
  • 134.Perry EK, Morris CM, Court JA, Cheng A, Fairbairn AF, McKeith IG, et al. Alteration in nicotine binding sites in Parkinson’s disease, Lewy body dementia and Alzheimer’s disease: Possible index of early neuropathology. Neuroscience. 1995;64:385–95. doi: 10.1016/0306-4522(94)00410-7. [DOI] [PubMed] [Google Scholar]
  • 135.Nordberg A. In vivo detection of neurotransmitter changes in Alzheimer’s disease. Annals of the New York Academy of Sciences. 1993;695:27–33. doi: 10.1111/j.1749-6632.1993.tb23022.x. [DOI] [PubMed] [Google Scholar]
  • 136.Nordberg A, Lundqvist H, Hartvig P, Lilja A, Langstrom B. Kinetic analysis of regional (S)(−)11C-nicotine binding in normal and Alzheimer brains--in vivo assessment using positron emission tomography. Alzheimer Dis Assoc Disord. 1995;9:21–7. doi: 10.1097/00002093-199505000-00006. [DOI] [PubMed] [Google Scholar]
  • 137.Saricicek A, Esterlis I, Maloney KH, Mineur YS, Ruf BM, Muralidharan A, et al. Persistent beta2*-nicotinic acetylcholinergic receptor dysfunction in major depressive disorder. The American journal of psychiatry. 2012;169:851–9. doi: 10.1176/appi.ajp.2012.11101546. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 138.McGehee DS, Heath MJS, Gelber S, Devay P, Role LW. Nicotine enhancement of fast excitatory synaptic transmission in CNS by presynaptic receptors. Science. 1995;269:1692–6. doi: 10.1126/science.7569895. [DOI] [PubMed] [Google Scholar]
  • 139.Wonnacott S, Barik J, Dickinson J, Jones I. Nicotinic receptors modulate transmitter cross talk in the CNS. Journal of Molecular Neuroscience. 2006;30:137–40. doi: 10.1385/JMN:30:1:137. [DOI] [PubMed] [Google Scholar]
  • 140.Heishman SJ, Kleykamp BA, Singleton EG. Meta-analysis of the acute effects of nicotine and smoking on human performance. Psychopharmacology. 2010;210:453–69. doi: 10.1007/s00213-010-1848-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 141.Warburton DM, Rusted JM. Cholinergic control of cognitive resources. Neuropsychobiology. 1993;28:43–6. doi: 10.1159/000118998. [DOI] [PubMed] [Google Scholar]
  • 142.Newhouse PA, Potter A, Kelton M, Corwin J. Nicotinic treatment of Alzheimer’s disease. Biological Psychiatry. 2001;49:269–78. doi: 10.1016/s0006-3223(00)01069-6. [DOI] [PubMed] [Google Scholar]
  • 143.Sarter M, Hasselmo ME, Bruno JP, Givens B. Unraveling the attentional functions of cortical cholinergic inputs: interactions between signal-driven and cognitive modulation of signal detection. Brain research Brain research reviews. 2005;48:98–111. doi: 10.1016/j.brainresrev.2004.08.006. [DOI] [PubMed] [Google Scholar]
  • 144.Rusted JM, Sawyer R, Jones C, Trawley SL, Marchant NL. Positive effects of nicotine on cognition: the deployment of attention for prospective memory. Psychopharmacology (Berl) 2009;202:93–102. doi: 10.1007/s00213-008-1320-7. [DOI] [PubMed] [Google Scholar]
  • 145.Wesnes K, Warburton DM. Effects of scopolamine and nicotine on human rapid information processing performance. Psychopharmacology. 1984;82:147–50. doi: 10.1007/BF00427761. [DOI] [PubMed] [Google Scholar]
  • 146.Provost SC, Woodward R. Effects of nicotine gum on repeated administration of the Stroop test. Psychopharmacology. 1991;104:536–40. doi: 10.1007/BF02245662. [DOI] [PubMed] [Google Scholar]
  • 147.Rusted J, Graupner L, O’Connell N, Nicholls C. Does nicotine improve cognitive function? Psychopharmacology. 1994;115:547–9. doi: 10.1007/BF02245580. [DOI] [PubMed] [Google Scholar]
  • 148.Warburton DM, Arnall C. Improvements in performance without nicotine withdrawal. Psychopharmacology. 1994;115:539–42. doi: 10.1007/BF02245578. [DOI] [PubMed] [Google Scholar]
  • 149.Levin ED. Nicotinic agonist and antagonist effects on memory. Drug Development Research. 1996;38:188–95. [Google Scholar]
  • 150.Levin ED, Conners CK, Silva D, Hinton SC, Meck W, March J, et al. Transdermal nicotine effects on attention. Psychopharmacology. 1998;140:135–41. doi: 10.1007/s002130050750. [DOI] [PubMed] [Google Scholar]
  • 151.Le Houezec J, Halliday R, Benowitz NL, Callaway E, Naylor H, Herzig K. A low dose of subcutaneous nicotine improves information processing in non-smokers. Psychopharmacology. 1994;114:628–34. doi: 10.1007/BF02244994. [DOI] [PubMed] [Google Scholar]
  • 152.Potter AS, Bucci DJ, Newhouse PA. Manipulation of nicotinic acetylcholine receptors differentially affects behavioral inhibition in human subjects with and without disordered baseline impulsivity. Psychopharmacology. 2012;220:331–40. doi: 10.1007/s00213-011-2476-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 153.Levin ED, Simon BB. Nicotinic acetylcholine involvement in cognitive function in animals. Psychopharmacology. 1998;138:217–30. doi: 10.1007/s002130050667. [DOI] [PubMed] [Google Scholar]
  • 154.Park S, Knopick C, McGurk S, Meltzer HY. Nicotine impairs spatial working memory while leaving spatial attention intact. Neuropsychopharmacology. 2000;22:200–9. doi: 10.1016/S0893-133X(99)00098-6. [DOI] [PubMed] [Google Scholar]
  • 155.Rycroft N, Hutton SB, Rusted JM. The antisaccade task as an index of sustained goal activation in working memory: modulation by nicotine. Psychopharmacology (Berl) 2006;188:521–9. doi: 10.1007/s00213-006-0455-7. [DOI] [PubMed] [Google Scholar]
  • 156.Della Casa V, Hofer I, Feldon J. Latent inhibition in smokers vs. nonsmokers: interaction with number or intensity of preexposures? Pharmacology, biochemistry, and behavior. 1999;62:353–9. doi: 10.1016/s0091-3057(98)00172-5. [DOI] [PubMed] [Google Scholar]
  • 157.Edginton T, Rusted JM. Separate and combined effects of scopolamine and nicotine on retrieval-induced forgetting. Psychopharmacology. 2003;170:351–7. doi: 10.1007/s00213-003-1563-2. [DOI] [PubMed] [Google Scholar]
  • 158.Levin ED, Torry D. Acute and chronic nicotine effects on working memory in aged rats. Psychopharmacology (Berl) 1996;123:88–97. doi: 10.1007/BF02246285. [DOI] [PubMed] [Google Scholar]
  • 159.Taylor GT, Bassi CJ, Weiss J. Limits of learning enhancements with nicotine in old male rats. Acta Neurobiologia Experimentalis. 2005;65:125–36. doi: 10.55782/ane-2005-1545. [DOI] [PubMed] [Google Scholar]
  • 160.French KL, Granholm AC, Moore AB, Nelson ME, Bimonte-Nelson HA. Chronic nicotine improves working and reference memory performance and reduces hippocampal NGF in aged female rats. Behav Brain Res. 2006;169:256–62. doi: 10.1016/j.bbr.2006.01.008. [DOI] [PubMed] [Google Scholar]
  • 161.Newhouse PA, Sunderland T, Tariot PN, Blumhardt CL, Weingartner H, Mellow A, et al. Intravenous nicotine in Alzheimer’s disease: A pilot study. Psychopharmacology. 1988;95:171–5. doi: 10.1007/BF00174504. [DOI] [PubMed] [Google Scholar]
  • 162.Sahakian BJ, Jones GMM. The effects of nicotine on attention, information processing, and working memory in patients with dementia of the Alzheimer type. In: Adlkofer F, Thruau K, editors. Effects of Nicotine on Biological Systems. Basel: Birkhauser Verlag; 1991. pp. 623–230. [Google Scholar]
  • 163.Jones GMM, Sahakian BJ, Levy R, Warburton DM, Gray JA. Effects of acute subcutaneous nicotine on attention, information processing and short-term memory in Alzheimer’s disease. Psychopharmacology. 1992;108:485–94. doi: 10.1007/BF02247426. [DOI] [PubMed] [Google Scholar]
  • 164.Wilson AL, Langley LK, Monley J, Bauer T, Rottunda S, McFalls E, et al. Nicotine patches in Alzheimer’s disease: pilot study on learning, memory, and safety. Pharmacology, Biochemistry and Behavior. 1995;51:509–14. doi: 10.1016/0091-3057(95)00043-v. [DOI] [PubMed] [Google Scholar]
  • 165.White HK, Levin ED. Four-week nicotine skin patch treatment effects on cognitive performance in Alzheimer’s disease. Psychopharmacology. 1999;143:158–65. doi: 10.1007/s002130050931. [DOI] [PubMed] [Google Scholar]
  • 166.Snaedal J, Johannesson T, Jonsson JE, Gylfadottir G. The effects of nicotine in dermal plaster on cognitive functions in patients with Alzheimer’s disease. Dementia. 1996;7:47–52. doi: 10.1159/000106852. [DOI] [PubMed] [Google Scholar]
  • 167.Newhouse PA, Potter A, Singh A. Effects of nicotinic stimulation on cognitive performance. Current Opinion in Pharmacology. 2004;4:36–46. doi: 10.1016/j.coph.2003.11.001. [DOI] [PubMed] [Google Scholar]
  • 168.Newhouse P, Kellar K, Aisen P, White H, Wesnes K, Coderre E, et al. Nicotine treatment of mild cognitive impairment: a 6-month double-blind pilot clinical trial. Neurology. 2012;78:91–101. doi: 10.1212/WNL.0b013e31823efcbb. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 169.Potter AS, Newhouse PA. Acute nicotine improves cognitive deficits in young adults with attention-deficit/hyperactivity disorder. Pharmacology Biochemistry and Behavior. 2008;88:407–17. doi: 10.1016/j.pbb.2007.09.014. [DOI] [PubMed] [Google Scholar]
  • 170.Potter AS, Newhouse PA, Bucci DJ. Central nicotinic cholinergic systems: a role in the cognitive dysfunction in attention-deficit/hyperactivity disorder? Behav Brain Res. 2006;175:201–11. doi: 10.1016/j.bbr.2006.09.015. [DOI] [PubMed] [Google Scholar]
  • 171.Levin ED, Conners CK, Sparrow E, Hinton SC, Erhardt D, Meck WH, et al. Nicotine effects on adults with attention-deficit/hyperactivity disorder. Psychopharmacology (Berl) 1996;123:55–63. doi: 10.1007/BF02246281. [DOI] [PubMed] [Google Scholar]
  • 172.Singh A, Potter A, Newhouse P. Nicotinic acetylcholine receptor system and neuropsychiatric disorders. IDrugs. 2004;7:1096–103. [PubMed] [Google Scholar]
  • 173.Wilens TE, Spencer TJ, Biederman J. A review of the pharmacotherapy of adults with attention-deficit/hyperactivity disorder. J Atten Disord. 2002;5:189–202. doi: 10.1177/108705470100500401. [DOI] [PubMed] [Google Scholar]
  • 174.Conners CK, Levin ED, Sparrow E, Hinton SC, Erhardt D, Meck WH, et al. Nicotine and attention in adult attention deficit hyperactivity disorder (ADHD) Psychopharmacol Bull. 1996;32:67–73. [PubMed] [Google Scholar]
  • 175.Gehricke JG, Hong N, Whalen CK, Steinhoff K, Wigal TL. Effects of transdermal nicotine on symptoms, moods, and cardiovascular activity in the everyday lives of smokers and nonsmokers with attention-deficit/hyperactivity disorder. Psychol Addict Behav. 2009;23:644–55. doi: 10.1037/a0017441. [DOI] [PubMed] [Google Scholar]
  • 176.Poltavski DV, Petros T. Effects of transdermal nicotine on attention in adult non-smokers with and without attentional deficits. Physiol Behav. 2006;87:614–24. doi: 10.1016/j.physbeh.2005.12.011. [DOI] [PubMed] [Google Scholar]
  • 177.Potter AS, Newhouse PA. Acute nicotine improves cognitive deficits in young adults with attention-deficit/hyperactivity disorder. Pharmacol Biochem Behav. 2008;88:407–17. doi: 10.1016/j.pbb.2007.09.014. [DOI] [PubMed] [Google Scholar]
  • 178.Potter AS, Newhouse PA. Effects of acute nicotine administration on behavioral inhibition in adolescents with attention-deficit/hyperactivity disorder. Psychopharmacology (Berl) 2004;176:182–94. doi: 10.1007/s00213-004-1874-y. [DOI] [PubMed] [Google Scholar]
  • 179.Shytle RD, Silver AA, Wilkinson BJ, Sanberg PR. A pilot controlled trial of transdermal nicotine in the treatment of attention deficit hyperactivity disorder. World J Biol Psychiatry. 2002;3:150–5. doi: 10.3109/15622970209150616. [DOI] [PubMed] [Google Scholar]
  • 180.Wilens TE, Decker MW. Neuronal nicotinic receptor agonists for the treatment of attention-deficit/hyperactivity disorder: focus on cognition. Biochem Pharmacol. 2007;74:1212–23. doi: 10.1016/j.bcp.2007.07.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 181.Wilens TE, Biederman J, Spencer TJ, Bostic J, Prince J, Monuteaux MC, et al. A pilot controlled clinical trial of ABT-418, a cholinergic agonist, in the treatment of adults with attention deficit hyperactivity disorder. Am J Psychiatry. 1999;156:1931–7. doi: 10.1176/ajp.156.12.1931. [DOI] [PubMed] [Google Scholar]
  • 182.Wilens TE, Verlinden MH, Adler LA, Wozniak PJ, West SA. ABT-089, a neuronal nicotinic receptor partial agonist, for the treatment of attention-deficit/hyperactivity disorder in adults: results of a pilot study. Biological Psychiatry. 2006;59:1065–70. doi: 10.1016/j.biopsych.2005.10.029. [DOI] [PubMed] [Google Scholar]
  • 183.Smith RC, Warner-Cohen J, Matute M, Butler E, Kelly E, Vaidhyanathaswamy S, et al. Effects of nicotine nasal spray on cognitive function in schizophrenia. Neuropsychopharmacology. 2006;31:637–43. doi: 10.1038/sj.npp.1300881. [DOI] [PubMed] [Google Scholar]
  • 184.Barr RS, Culhane MA, Jubelt LE, Mufti RS, Dyer MA, Weiss AP, et al. The Effects of Transdermal Nicotine on Cognition in Nonsmokers with Schizophrenia and Nonpsychiatric Controls. Neuropsychopharmacology. 2007;33:480–90. doi: 10.1038/sj.npp.1301423. [DOI] [PubMed] [Google Scholar]
  • 185.Colquhoun LM, Patrick JW. Pharmacology of neuronal nicotinic acetylcholine receptor subtypes. Advances in Pharmacology. 1997;39:191–220. doi: 10.1016/s1054-3589(08)60072-1. [DOI] [PubMed] [Google Scholar]
  • 186.Lukas RJ. The Nicotinic Acetylcholine Receptor: Current Views and Future Trends. Berlin: Springer-Verlag; 1998. Neuronal Nicotinic Acetylcholine Receptors; pp. 145–73. [Google Scholar]
  • 187.Lindstrom J. Handbook of Experimental Pharmacology. Berlin: Springer-Verlag; 2000. The structure of Neuronal nicotinic receptors; pp. 101–62. [Google Scholar]
  • 188.Levin ED. Handbook of Experimental Pharmacology: Neuronal Nicotinic Receptors. Heidelberg, Germany: Springer-Verlag; 2000. The Role of Nicotinic Acetylcholine Receptors in Cognitive Function; pp. 587–602. [Google Scholar]
  • 189.Levin E, McClernon FJ, Rezvani A. Nicotinic effects on cognitive function: behavioral characterization, pharmacological specification, and anatomic localization. Psychopharmacology. 2006;184:523–39. doi: 10.1007/s00213-005-0164-7. [DOI] [PubMed] [Google Scholar]
  • 190.Picard F, Sadaghiani S, Leroy C, Courvoisier DS, Maroy R, Bottlaender M. High density of nicotinic receptors in the cingulo-insular network. Neuroimage. 2013;79C:42–51. doi: 10.1016/j.neuroimage.2013.04.074. [DOI] [PubMed] [Google Scholar]
  • 191.Levin ED, Bettegowda C, Blosser J, Gordon J. AR-R17779, and alpha7 nicotinic agonist, improves learning and memory in rats. Behav Pharmacol. 1999;10:675–80. doi: 10.1097/00008877-199911000-00014. [DOI] [PubMed] [Google Scholar]
  • 192.Levin ED, Christopher NC. Persistence of nicotinic agonist RJR 2403-induced working memory improvement in rats. Drug Development Research. 2002;55:97–103. [Google Scholar]
  • 193.Kampen M, Selbach K, Schneider R, Schiegel E, Boess F, Schreiber R. AR-R 17779 improves social recognition in rats by activation of nicotinic α7 receptors. Psychopharmacology. 2004;172:375–83. doi: 10.1007/s00213-003-1668-7. [DOI] [PubMed] [Google Scholar]
  • 194.Grottick AJ, Wyler R, Higgins GA. A study of the nicotinic agonist SIB-1553A on locomotion and attention as measured by the five-choice serial reaction time task. Pharmacology, Biochemistry & Behavior. 2001;70:505–13. doi: 10.1016/s0091-3057(01)00639-6. [DOI] [PubMed] [Google Scholar]
  • 195.Felix R, Levin ED. Nicotinic antagonist administration into the ventral hippocampus and spatial working memory in rats. Neuroscience. 1997;81:1009–17. doi: 10.1016/s0306-4522(97)00224-8. [DOI] [PubMed] [Google Scholar]
  • 196.Newhouse P, Potter A, Corwin J. Society for Reaearch on Nicotine and Tobacco. 1996. Acute administration of the cholinergic channel activator ABT-418 improves learning in Alzheimer’s disease. Poster A39. [Google Scholar]
  • 197.Potter A, Corwin J, Lang J, Piasecki M, Lenox R, Newhouse P. Acute effects of the selective cholinergic channel activator (nicotinic agonist) ABT-418 in Alzheimer’s disease. Psychopharmacology. 1999;142:334–42. doi: 10.1007/s002130050897. [DOI] [PubMed] [Google Scholar]
  • 198.Dunbar GC, Kuchibhatla RV, Lee G Group ftT-ACS. A randomized double-blind study comparing 25 and 50 mg TC-1734 (AZD3480) with placebo, in older subjects with age-associated memory impairment. Journal of Psychopharmacology. 2011;25:1020–9. doi: 10.1177/0269881110367727. [DOI] [PubMed] [Google Scholar]
  • 199.Jucaite A, Ohd J, Potter AS, Jaeger J, Karlsson P, Hannesdottir K, et al. A randomized, double-blind, placebo-controlled crossover study of alphabeta * nicotinic acetylcholine receptor agonist AZD1446 (TC-6683) in adults with attention-deficit/hyperactivity disorder. Psychopharmacology (Berl) 2013 doi: 10.1007/s00213-013-3116-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 200.Thiel CM. Cholinergic modulation of learning and memory in the human brain as detected with functional neuroimaging. Neurobiology of Learning and Memory. 2003;80:234–44. doi: 10.1016/s1074-7427(03)00076-5. [DOI] [PubMed] [Google Scholar]
  • 201.Hasselmo ME, Sarter M. Modes and Models of Forebrain Cholinergic Neuromodulation of Cognition. Neuropsychopharmacology. 2010 doi: 10.1038/npp.2010.104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 202.Mattay VS, Fera F, Tessitore A, Hariri AR, Berman KF, Das S, et al. Neuropsychological corelates of age-related changes in working memory capacity. Neuroscience Letters. 2006;392:32–7. doi: 10.1016/j.neulet.2005.09.025. [DOI] [PubMed] [Google Scholar]
  • 203.Rypma B, D’Esposito M. Isolating the neural mechanisms of age-related changes in human working memory. Nature Neuroscience. 2000;3:509–15. doi: 10.1038/74889. [DOI] [PubMed] [Google Scholar]
  • 204.Ernst M, Matochik JA, Heishman SJ, Van Horn JD, Jons PH, Henningfield JE, et al. Effect of nicotine on brain activation during performance of a working memory task. Proceedings of the National Academy of Sciences. 2001;98:4728–33. doi: 10.1073/pnas.061369098. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 205.Hahn B, Ross TJ, Wolkenberg FA, Shakleya DM, Huestis MA, Stein EA. Performance Effects of Nicotine during Selective Attention, Divided Attention, and Simple Stimulus Detection: An fMRI Study. Cerebral Cortex. 2009;19:1990–2000. doi: 10.1093/cercor/bhn226. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 206.Giessing C, Thiel CM, Rosler F, Fink GR. The modulatory effects of nicotine on parietal cortex activity in a cued target detection task depend on cue reliability. Neuroscience. 2006;137:853–64. doi: 10.1016/j.neuroscience.2005.10.005. [DOI] [PubMed] [Google Scholar]
  • 207.Kumari V, Gray JA, Ffytche DH, Mitterschiffthaler MT, Das M, Zachariah E, et al. Cognitive effects of nicotine in humans: an fMRI study. NeuroImage. 2003;19:1002–13. doi: 10.1016/s1053-8119(03)00110-1. [DOI] [PubMed] [Google Scholar]
  • 208.Cohen JD, Perlstein WM, Braver TS, Nystrom LE, Noll DC, Jonides J, et al. Temporal dynamics of brain activation during a working memory task. Nature. 1997;386:604–8. doi: 10.1038/386604a0. [DOI] [PubMed] [Google Scholar]
  • 209.Bowers MB, Goodman E, Sim VM. Some behavioral changes in man following anticholinesterase adminstration. Journal of Nervous Mental Disorders. 1964;138:383–9. doi: 10.1097/00005053-196404000-00009. [DOI] [PubMed] [Google Scholar]
  • 210.Risch SC, Cohen RM, Janowsky DS, Kalin NH, Murphy DL. Mood and behavioral effects of physostigmine on humans are accompanied by elevations in plasma b-endorphin and cortisol. Science. 1980;209:1545–6. doi: 10.1126/science.7433977. [DOI] [PubMed] [Google Scholar]
  • 211.Risch SC, Cohen RM, Janowsky DS, Kalin NH, Sitaram N, Gillin JC, et al. Physostigmine induction of depressive symptomatology in normal human subjects. Psychiatry Research. 1981;4:89–94. doi: 10.1016/0165-1781(81)90012-3. [DOI] [PubMed] [Google Scholar]
  • 212.Charles HC, Lazeyras F, Krishnan KR, Boyko OB, Payne M, Moore D. Brain choline in depression: in vivo detection of potential pharmacodynamic effects of antidepressant therapy using hydrogen localized spectroscopy. Prog Neuro-Psychopharmacol & Biol Psychiat. 1994;18:1121–7. doi: 10.1016/0278-5846(94)90115-5. [DOI] [PubMed] [Google Scholar]
  • 213.Steingard RJ, Yurgelun-Todd DA, Hennen J, Moore JC, Moore CM, Vakili K, et al. Increased orbitofrontal cortex levels of choline in depressed adolescents as detected by in vivo proton magnetic resonance spectroscopy. Biological Psychiatry. 2000;48:1053–61. doi: 10.1016/s0006-3223(00)00942-2. [DOI] [PubMed] [Google Scholar]
  • 214.Glassman AH, Helzer JE, Covey LS, Cottler LB, Stetner F, Tipp JE, et al. Smoking, smoking cessation, and major depression. JAMA. 1990;264:1546–9. [PubMed] [Google Scholar]
  • 215.Waal-Manning HJ, de Hamel FA. Smoking habit and psychometric scores: a community study. New Zealand Medical Journal. 1978;88:188–91. [PubMed] [Google Scholar]
  • 216.Shiffman S. Relapse following smoking cessation: a situational analysis. J Consult Clin Psychol. 1982;50:71–86. doi: 10.1037//0022-006x.50.1.71. [DOI] [PubMed] [Google Scholar]
  • 217.Kandel DB, Davies M. Adult sequelae of adolescent depressive symptoms. Arch Gen Psychiatry. 1986;43:255–62. doi: 10.1001/archpsyc.1986.01800030073007. [DOI] [PubMed] [Google Scholar]
  • 218.Silver AA, Shytle RD, Sheehan KH, Sheehan DV, Ramos A, Sanberg PR. Multicenter, Double-Blind, Placebo-Controlled Study of Mecamylamine Monotherapy for Tourette’s Disorder. Journal of the American Academy of Child & Adolescent Psychiatry. 2001;40:1103–10. doi: 10.1097/00004583-200109000-00020. [DOI] [PubMed] [Google Scholar]
  • 219.Shytle RD, Silver AA, Sheehan KH, Sheehan DV, Sanberg PR. Neuronal nicotinic receptor inhibition for treating mood disorders: preliminary controlled evidence with mecamylamine. Depression & Anxiety. 2002;16:89–92. doi: 10.1002/da.10035. [DOI] [PubMed] [Google Scholar]
  • 220.George TP, Sacco KA, Vessicchio JC, Weinberger AH, Shytle RD. Nicotinic Antagonist Augmentation of Selective Serotonin Reuptake Inhibitor-Refractory Major Depressive Disorder: A Preliminary Study. Journal of Clinical Psychopharmacology. 2008;28:340–4. doi: 10.1097/JCP.0b013e318172b49e. [DOI] [PubMed] [Google Scholar]
  • 221.Caldarone BJ, Harrist A, Cleary MA, Beech RD, King SL, Picciotto MR. High-affinity nicotinic acetylcholine receptors are required for antidepressant effects of amitriptyline on behavior and hippocampal cell proliferation. Biological Psychiatry. 2004;56:657–64. doi: 10.1016/j.biopsych.2004.08.010. [DOI] [PubMed] [Google Scholar]
  • 222.Rabenstein RL, Caldarone BJ, Picciotto MR. The nicotinic antagonist mecamylamine has antidepressant-like effects in wild-type but not β2- or α7-nicotinic acetylcholine receptor subunit knockout mice. Psychopharmacology. 2006;189:395–401. doi: 10.1007/s00213-006-0568-z. [DOI] [PubMed] [Google Scholar]
  • 223.Mineur YS, Somenzi O, Picciotto MR. Cytisine, a partial agonist of high-affinity nicotinic acetylcholine receptors, has antidepressant-like properties in male C57BL/6J mice. Neuropharmacology. 2007;52:1256–62. doi: 10.1016/j.neuropharm.2007.01.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 224.Salin-Pascual RJ, de la Fuente JR, Galicia-Polo L, Drucker-Colin R. Effects of transdermal nicotine on mood and sleep in nonsmoking major depressed patients. Psychopharmachology (Berl) 1995;121:476–9. doi: 10.1007/BF02246496. [DOI] [PubMed] [Google Scholar]
  • 225.Salin-Pascual RJ, Rosas M, Jimenez-Genchi A, Rivera-Meza BL, Delgado-Parra V. Antidepressant effect of transdermal nicotine patches in nonsmoking patients with major depression. J Clin Psychiatry. 1996;57:387–9. [PubMed] [Google Scholar]
  • 226.Salin-Pascual RJ, Drucker-Colin R. A novel effect of nicotine on mood and sleep in major depression. Neuroreport. 1998;9:57–60. doi: 10.1097/00001756-199801050-00012. [DOI] [PubMed] [Google Scholar]
  • 227.Shytle RD, Silver AA, Lukas RJ, Newman MB, Sheehan DV, Sanberg PR. Nicotinic acetylcholine receptors as targets for antidepressants. Mol Psychiatry. 2002;7:525–35. doi: 10.1038/sj.mp.4001035. [DOI] [PubMed] [Google Scholar]
  • 228.Picciotto MR, Addy NA, Mineur YS, Brunzell DH. It is not “either/or”: Activation and desensitization of nicotinic acetylcholine receptors both contribute to behaviors related to nicotine addiction and mood. Progress in Neurobiology. 2008;84:329–42. doi: 10.1016/j.pneurobio.2007.12.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 229.Kozikowski AP, Eaton JB, Bajjuri KM, Chellappan SK, Chen Y, Karadi S, et al. Chemistry and Pharmacology of Nicotinic Ligands Based on 6-[5-(Azetidin-2-ylmethoxy)pyridin-3-yl]hex-5-yn-1-ol (AMOP-H-OH) for Possible Use in Depression. ChemMedChem. 2009;4:1279–91. doi: 10.1002/cmdc.200900079. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 230.Coe JW, Brooks PR, Vetelino MG, Wirtz MC, Arnold EP, Huang J, et al. Varenicline: an alpha4beta2 nicotinic receptor partial agonist for smoking cessation. J Med Chem. 2005;48:3474–7. doi: 10.1021/jm050069n. [DOI] [PubMed] [Google Scholar]
  • 231.Mihalak KB, Carroll FI, Luetje CW. Varenicline is a partial agonist at alpha4beta2 and a full agonist at alpha7 neuronal nicotinic receptors. Mol Pharmacol. 2006;70:801–5. doi: 10.1124/mol.106.025130. [DOI] [PubMed] [Google Scholar]
  • 232.Harrison-Woolrych M, Ashton J. Psychiatric adverse events associated with varenicline: an intensive postmarketing prospective cohort study in New Zealand. Drug safety : an international journal of medical toxicology and drug experience. 2011;34:763–72. doi: 10.2165/11594450-000000000-00000. [DOI] [PubMed] [Google Scholar]
  • 233.Moore TJ, Furberg CD, Glenmullen J, Maltsberger JT, Singh S. Suicidal behavior and depression in smoking cessation treatments. PLoS One. 2011;6:e27016. doi: 10.1371/journal.pone.0027016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 234.Williams JM, Steinberg MB, Steinberg ML, Gandhi KK, Ulpe R, Foulds J. Varenicline for tobacco dependence: panacea or plight? Expert opinion on pharmacotherapy. 2011;12:1799–812. doi: 10.1517/14656566.2011.587121. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 235.Cinciripini PM, Robinson JD, Karam-Hage M, Minnix JA, Lam C, Versace F, et al. Effects of varenicline and bupropion sustained-release use plus intensive smoking cessation counseling on prolonged abstinence from smoking and on depression, negative affect, and other symptoms of nicotine withdrawal. JAMA Psychiatry. 2013;70:522–33. doi: 10.1001/jamapsychiatry.2013.678. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 236.Foulds J, Russ C, Yu C-R, Zou KH, Galaznik A, Franzon M, et al. Effect of Varenicline on Individual Nicotine Withdrawal Symptoms: A Combined Analysis of Eight Randomized, Placebo-Controlled Trials. Nicotine & Tobacco Research. 2013 doi: 10.1093/ntr/ntt066. epub. [DOI] [PubMed] [Google Scholar]
  • 237.Gunnell D, Irvine D, Wise L, Davies C, Martin RM. Varenicline and suicidal behaviour: a cohort study based on data from the General Practice Research Database. BMJ. 2009;339:b3805. doi: 10.1136/bmj.b3805. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 238.Semba J, Mataki C, Yamada S, Nankai M, Toru M. Antidepressantlike Effects of Chronic Nicotine on Learned Helplessness Paradigm in Rats. Biological Psychiatry. 1998;43:389–91. doi: 10.1016/s0006-3223(97)00477-0. [DOI] [PubMed] [Google Scholar]
  • 239.Djuri VJ, Dunn E, Overstreet DH, Dragomir A, Steiner M. Antidepressant Effect of Ingested Nicotine in Female Rats of Flinders Resistant and Sensitive Lines. Physiology & Behavior. 1999;67:533–7. doi: 10.1016/s0031-9384(99)00091-8. [DOI] [PubMed] [Google Scholar]
  • 240.Tizabi Y, Overstreet DH, Rezvani AH, Louis VA, Clark E, Jr, Janowsky DS, et al. Antidepressant effects of nicotine in an animal model of depression. Psychopharmacology. 1999;142:193–9. doi: 10.1007/s002130050879. [DOI] [PubMed] [Google Scholar]
  • 241.Ferguson SM, Brodkin JD, Kenneth Lloyd G, Menzaghi F. Antidepressant-like effects of the subtype-selective nicotinic acetylcholine receptor agonist, SIB-1508Y, in the learned helplessness rat model of depression. Psychopharmacology. 2000;152:295–303. doi: 10.1007/s002130000531. [DOI] [PubMed] [Google Scholar]
  • 242.Lippiello PM, Beaver JS, Gatto GJ, James JW, Jordan KG, Traina VM, et al. TC-5214 (S-(+)-Mecamylamine): A Neuronal Nicotinic Receptor Modulator with Antidepressant Activity. CNS Neuroscience & Therapeutics. 2008;14:266–77. doi: 10.1111/j.1755-5949.2008.00054.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 243.Bentley P, Driver J, Dolan RJ. Cholinesterase inhibition modulates visual and attentional brain responses in Alzheimer’s disease and health. Brain. 2008;131:409–24. doi: 10.1093/brain/awm299. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 244.Jansari AS, Froggatt D, Edginton T, Dawkins L. Investigating the impact of nicotine on executive functions using a novel virtual reality assessment. Addiction. 2013;108:977–84. doi: 10.1111/add.12082. [DOI] [PubMed] [Google Scholar]
  • 245.Buckner RL, Andrews-Hanna JR, Schacter DL. The brain’s default network: anatomy, function, and relevance to disease. Ann N Y Acad Sci. 2008;1124:1–38. doi: 10.1196/annals.1440.011. [DOI] [PubMed] [Google Scholar]
  • 246.Weissman DH, Roberts KC, Visscher KM, Woldorff MG. The neural bases of momentary lapses in attention. Nat Neurosci. 2006;9:971–8. doi: 10.1038/nn1727. [DOI] [PubMed] [Google Scholar]
  • 247.Kantarci K, Senjem ML, Avula R, Zhang B, Samikoglu AR, Weigand SD, et al. Diffusion tensor imaging and cognitive function in older adults with no dementia. Neurology. 2011;77:26–34. doi: 10.1212/WNL.0b013e31822313dc. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 248.Gordon EM, Lee PS, Maisog JM, Foss-Feig J, Billington ME, Vanmeter J, et al. Strength of default mode resting-state connectivity relates to white matter integrity in children. Developmental science. 2011;14:738–51. doi: 10.1111/j.1467-7687.2010.01020.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 249.Duering M, Gonik M, Malik R, Zieren N, Reyes S, Jouvent E, et al. Identification of a strategic brain network underlying processing speed deficits in vascular cognitive impairment. Neuroimage. 2012;66C:177–83. doi: 10.1016/j.neuroimage.2012.10.084. [DOI] [PubMed] [Google Scholar]
  • 250.Sasson E, Doniger GM, Pasternak O, Tarrasch R, Assaf Y. Structural correlates of cognitive domains in normal aging with diffusion tensor imaging. Brain structure & function. 2012;217:503–15. doi: 10.1007/s00429-011-0344-7. [DOI] [PubMed] [Google Scholar]
  • 251.Hahn B, Ross TJ, Yang Y, Kim I, Huestis MA, Stein EA. Nicotine enhances visuospatial attention by deactivating areas of the resting brain default network. J Neurosci. 2007;27:3477–89. doi: 10.1523/JNEUROSCI.5129-06.2007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 252.Ettinger U, Williams SC, Patel D, Michel TM, Nwaigwe A, Caceres A, et al. Effects of acute nicotine on brain function in healthy smokers and non-smokers: estimation of inter-individual response heterogeneity. Neuroimage. 2009;45:549–61. doi: 10.1016/j.neuroimage.2008.12.029. [DOI] [PubMed] [Google Scholar]
  • 253.Tanabe J, Nyberg E, Martin LF, Martin J, Cordes D, Kronberg E, et al. Nicotine effects on default mode network during resting state. Psychopharmacology (Berl) 2011;216:287–95. doi: 10.1007/s00213-011-2221-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 254.Cole DM, Beckmann CF, Long CJ, Matthews PM, Durcan MJ, Beaver JD. Nicotine replacement in abstinent smokers improves cognitive withdrawal symptoms with modulation of resting brain network dynamics. Neuroimage. 2010;52:590–9. doi: 10.1016/j.neuroimage.2010.04.251. [DOI] [PubMed] [Google Scholar]
  • 255.Giessing C, Fink GR, Rosler F, Thiel CM. fMRI data predict individual differences of behavioral effects of nicotine: A partial least square analysis. J Cogn Neurosci. 2007;19:658–70. doi: 10.1162/jocn.2007.19.4.658. [DOI] [PubMed] [Google Scholar]
  • 256.Hasler G, Drevets WC, Manji HK, Charney DS. Discovering endophenotypes for major depression. Neuropsychopharmacology. 2004;29:1765–81. doi: 10.1038/sj.npp.1300506. [DOI] [PubMed] [Google Scholar]
  • 257.Watters AJ, Williams LM. Negative biases and risk for depression; integrating self-report and emotion task markers. Depression and Anxiety. 2011;28:703–18. doi: 10.1002/da.20854. [DOI] [PubMed] [Google Scholar]
  • 258.Lyubomirsky S, Nolen-Hoeksema S. Effects of self-focused rumination on negative thinking and interpersonal problem solving. J Pers Soc Psychol. 1995;69:176–90. doi: 10.1037//0022-3514.69.1.176. [DOI] [PubMed] [Google Scholar]

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