Abstract
Neuropsychiatric symptoms (NPS) in Alzheimer’s disease (AD) are widespread and disabling. This has been known since Dr. Alois Alzheimer’s first case, Frau Auguste D., presented with emotional distress and delusions of infidelity/excessive jealousy, followed by cognitive symptoms. Being cognizant of this, in 2010 the Alzheimer’s Association convened a Research Roundtable on the topic of NPS in AD. A major outcome of the Roundtable was the founding of a Professional Interest Area (PIA) within the International Society to Advance Alzheimer’s Research and Treatment (ISTAART). The NPS-PIA has prepared a series of documents that are intended to summarize the literature and provide more detailed specific recommendations for NPS research. This overview paper is the first of these living documents that will be updated periodically as the science advances. The overview is followed by syndrome specific synthetic reviews and recommendations prepared by NPS-PIA Workgroups on depression, apathy, sleep, agitation, and psychosis.
Keywords: Neuropsychiatric symptoms, Behavioral and psychological symptoms of dementia, Agitation/aggression, Sleep disorders, Depression, Apathy, Psychosis, Delusions, Hallucinations, Dementia, Alzheimer’s disease, Mild cognitive impairment, Mild Behavioral Impairment
1. Introduction
At the advent of the 21st century, Neurology and American Journal of Psychiatry, the official journals of the American Academy of Neurology and the American Psychiatric Association respectively, reviewed the past and anticipated the future of neurology and psychiatry [1,2]. Both journals eloquently indicated that the history of Alzheimer’s disease (AD) is a history of neuropsychiatry. Alois Alzheimer, Emil Kraepelin, and other prominent neuropsychiatrists were keen to understand brain changes underlying mental illness [2].
It was at that historical moment that Alzheimer described the clinical manifestations and subsequent classic neuropathological features of what was later known as Alzheimer’s disease (AD). Alzheimer’s first case, Frau Auguste D, presented with emotional distress and delusions of infidelity/excessive jealousy. Subsequently, she developed memory, visuospatial, and language problems [3]. Autopsy revealed what later became known as “the classic AD pathology” (neuritic plaques, neurofibrillary tangles, and neuronal loss). Thus, the search for the physical basis of mental illness led to the discovery of AD pathology, and the other byproduct of this effort was the genesis of the field of neuropathology [1,2].
Over the last 100 years, mankind has acquired substantial scientific knowledge about AD. Part of this success is attributable to having reliable criteria to define dementia, including dementia of Alzheimer’s type (DAT). The American Psychiatric Association’s DSM-IV diagnostic criteria for dementia [4] and the National Institute of Neurological and Communicative Disorders and Stroke and Alzheimer’s Disease and Related Disorders Association (NINCDS-ADRDA) criteria for AD [5] are widely used in research and clinical settings. Even though these criteria have excellent correlation with neuropathological changes on postmortem examination [6], investigators, particularly clinical trialists in the field of AD, later advocated for biomarker-based diagnostic criteria for AD and related disorders [7]. A recent initiative of the National Institute on Aging along with the Alzheimer’s Association (NIA-AA) developed new diagnostic criteria. The NIA-AA task force classified AD into three phases: preclinical phase (research category) [8], mild cognitive impairment (MCI) due to AD [9], and dementia due to AD [10]. The preclinical criteria are based on brain imaging and biomarkers [8]; even though the validity of AD biomarkers has yet to be established [6]. The clinical phases i.e., MCI due to AD [9] and dementia due to AD [10] are primarily defined by using cognitive signs and symptoms in combination with biomarkers.
While AD is well known to cause cognitive symptoms, advances in neuroscience have established that there are extensive and reciprocal neuronal connections between the epicenters of emotions and cognitions [11]. Thus, it should be no surprise that the manifestations of AD are not limited to cognitive symptoms; rather, they include a range of neuropsychiatric symptoms (NPS) of AD. The near universal prevalence of NPS in AD, combined with the serious and disabling effects they have on patients and caregivers [12], has focused significant recent attention on the fact that few effective and safe treatments exist [12].
In an effort to address this major gap, the Alzheimer’s Association convened a 2010 Research Roundtable on the topic of NPS in AD [12]. A major outcome of the Roundtable was the founding of the Neuropsychiatric Syndromes of AD Professional Interest Area (NPS-PIA) of the International Society to Advance Alzheimer’s Research and Treatment (ISTAART), composed of a large international group of scientists, clinicians, and educators. NPS-PIA has as its mission to educate the broader AD field on this area and to stimulate treatment development for NPS. The NPS-PIA has provided summary recommendations as part of the effort to develop a national strategic plan as called up on by the National Alzheimer’s Project Act (NAPA) for AD [12]. The NPS-PIA is now creating a series of documents that are intended to summarize the literature and provide more detailed specific recommendations for NPS research. This overview paper is the first of these living documents that will be updated periodically as the science advances.
The NPS-PIA made the choice to organize itself around five syndromic areas. NPS-PIA workgroups in each have prepared syndrome specific reviews and recommendations presented as online Appendices (in decreasing order of crude prevalence rates): depression (Appendix A—hyperlink to Appendix A), apathy (Appendix B—hyperlink to Appendix B), sleep (Appendix C—hyperlink to Appendix C), agitation (Appendix D—hyperlink to Appendix D), and psychosis (Appendix E— hyperlink to Appendix E). This approach is intended to reflect the evidence that NPS tend to cluster into distinct groups [13] and that treatment development through neurobiological understanding might be more effective using this approach. However, it is well recognized that these syndromes overlap with one another; therefore, this approach is only a starting point that may evolve over time. This paper will review key background theories and research pertaining to the neuropsychiatry of AD.
2. Measurement of Neuropsychiatric Symptoms (NPS)
Treatment development is anchored upon accurate measurement of NPS in AD. In the past few decades, several approaches have been used to measure NPS in the context of AD. These measurements are primarily carried out by using scales that target individual symptoms/syndromes such as depression [14], apathy [15], agitation [16], or psychosis [17] as well as scales that measure multiple symptoms. The latter include the following: Behavior Rating Scale for Dementia of the Consortium to Establish a Registry for Alzheimer’s Disease [18,19], Brief Psychiatric Rating Scale [20], the Psychogeriatric Dependency Rating Scale [21], Multidimensional Observation Scale for Elderly Subjects [22], the Revised Memory and Behavior Problems Checklist [23], and Neuropsychiatric Inventory (NPI) [24]. The NPI, the most commonly used scale [25] measures 12 emotional behaviors, and data are collected from an informant, typically a close family member. In addition to measuring the psychopathology of AD, the NPI has also been widely used in clinical trials [26-30].
The NPI catalyzed neuropsychiatric research in AD. Its initial use mainly focused on clinical samples [31]. However, one limitation of clinical samples is the potential for referral bias leading to exaggerated frequency estimates [32,33]. Therefore, population-based studies were needed to investigate NPS in AD and related disorders. In the US, the first population-based effort that examined NPS in AD by using NPI was the Cache County study [34]. In subsequent population-based studies, the investigation of NPS was further extended to persons with MCI and compared to cognitively normal persons [35,36]. These studies showed that depression, apathy, irritability, and other NPS are common in normal cognitive aging and MCI [35,36]. Investigators abroad similarly reported that NPS is common in AD and related disorders [37].
Even though the development and wide application of the NPI and the briefer version, the Neuropsychiatric Inventory Questionnaire (NPI-Q) [38], have proven to be useful in the field of aging and AD [39], investigators continue to be concerned about the limitation of collecting data only from the informant. This concern was made explicit by a consensus paper published by an expert panel convened by the Alzheimer’s Association in collaboration with the leaders in academia and industry [25]. The panel indicated that NPI is the most widely used scale to measure NPS in AD and further raised a crucial question: “Why have drugs for neuropsychiatric symptoms not fared so well?” and also suggested a possible explanation: “Perhaps the wrong symptoms are being targeted” [25]. The expert panel called for development of a clinician-rated comprehensive evaluation of NPS in AD [25]. Indeed, a year later, an international team of investigators published a validated scale known as the Neuropsychiatric Inventory-Clinician rating scale (NPI-C) [40]. The NPI-C uses the LEAD standard (longitudinal evaluation performed by an expert, using all data available) [41] and thus collects data from both the patient and the informant. In the NPI-C, the clinician examines the patient in addition to interviewing the caregiver, and makes clinical judgments about the occurrence or severity of a range of individual NPS. The NPI-C has capitalized on the strength of NPI/NPI-Q, and at the same time rectified one of the weaknesses [40], which was overreliance on proxy report. If we assume that we are able to accurately measure NPS in AD, then the next key step is identifying a coherent and plausible neurobiological model as we strive to develop new treatment modalities for NPS in AD.
3. The neurobiology of NPS in AD
One of the crucial challenges to the field is elucidating the neurobiological underpinnings of NPS in AD. There are historical examples from related disciplines. The time honored lesion method demonstrated that left-sided stroke is associated with depression [42]. Additionally, investigations in late life depression have proposed that white matter lesions may disrupt the frontal-subcortical pathways involved in the regulation of mood [43,44]. The investigation of the neurobiological substrates of NPS in AD has pursued a similar path of correlating symptoms with postmortem lesions [45], and using neuroimaging technologies.
4. A sound theoretical model is crucial to understand neurobiology of NPS in AD
The preamble to neurobiological research is having a coherent model informed by years of empirical research. The advances made in neuroscience over the last two decades have paved the way to develop more sound theoretical models that inform the neurobiological underpinnings of NPS in AD. The three major neurobiological models relevant to NPS in AD are the frontal-subcortical circuits [46,47], cortico-cortical networks [11], and the monoaminergic system [48].
4.1. Frontal-subcortical circuits
Geschwind’s pioneering work on disconnection syndrome inspired models based on networks and circuits [49]. NPS such as disinhibition or apathy can be observed based on lesions far from the frontal cortex via involvement of a crucial structure in a circuit mediating a particular behavior [46]. The circuit model posits that there at least three frontal-subcortical circuits that mediate human behavior: (1) a circuit that mediates planning, organization, and executive function (dorsolateral circuit); (2) a model mediating motivated behavior (apathy circuit); and (3) a circuit mediating inhibitory control and conformity with social norms (orbitofrontal circuit). Each circuit has a frontal component, a basal ganglia substrate, and a thalamic component; the circuit is completed by linking back to its frontal origins. For example, the inhibitory control circuit loops between orbitofrontal cortex, ventral caudate, mediodorsal thalamus, and back to the orbitofrontal cortex [47].
4.2. Cortico-cortical network
The cortico-cortical network model posits that the human brain consists of five large scale neurocognitive networks [11,50]. These networks are both partially segregated and overlapping. The memory-emotion network is one of the five networks, and the epicenters of the memory-emotion network are the hippocampus and amygdala respectively [51]. These epicenters have extensive reciprocal connections [52]. Thus, emotion and cognition are closely related.
4.3. The monoaminergic system: cell bodies in the “south” diffusely project “north” via long axons
In addition to circuits and networks, the field has been interested in the role of the ascending monoaminergic system in the pathophysiology of NPS in AD. The general organization of this system is such that cell bodies of neurons producing serotonin, norepinephrine, or dopamine are primarily located in the brain stem (mid brain, pons, and medulla) and diffusely project via long axons to virtually all parts of the brain [48] to mediate human behavior. The neurobiological models of NPS in AD, as discussed above, are the foundations of neuroimaging and biomarker research of NPS in AD.
4.4. Neuroimaging and biomarker research
Structural and functional imaging work has implicated circuits, networks, and the monoaminergic systems [53-55]. Investigators have examined the neurobiological underpinnings of delusions [55,56], apathy [57], and depression [58]. In addition to neuroimaging and biomarker investigations, genetic studies have contributed to the understanding of NPS in AD. Over the last 10 years, increasing evidence suggests that AD with psychosis may represent a distinct phenotype with a genetic basis [59,60].
Amyloid imaging studies using the 11C-PiB-PET studies have primarily targeted cognitive symptoms [61,62]. At the NPS Research Roundtable, Geda et al. presented some of the first studies of NPS in AD using amyloid imaging [12]. Their exploratory analyses, derived from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database, examined the correlation between NPI-Q scores and PiB retention in cognitively normal persons or prodromal AD. After adjusting for age, sex, and education, there were weak correlations between global 11C-PiB-PET as well as regional (prefrontal, temporal, and parietal) retention and total NPI-Q scores; significance was lost after adjusting for Mini-Mental State Examination scores [12]. The relationship between the primary AD pathology (plaques, tangles, and regional neuronal loss) and NPS remains to be elucidated.
5. Mechanisms linking NPS with AD
If we assume that NPS is accurately measured in AD, the next key question is to postulate mechanisms connecting NPS to AD [63]. Based on previous research [64,65], we propose four possible mechanisms that link NPS with MCI or dementia of Alzheimer’s type (DAT): (1) Etiologic pathway: according to this model, a neuropsychiatric symptom is in the chain of causality leading to symptomatic AD by virtue of its effect on the brain, such as activations of the neuroendocrine axis [66]. In this context, the symptom reflects an underlying pathology or brain state that is causally linked to the development of AD pathology and its associated cognitive symptoms. An important corollary of this hypothesis is that an intervention targeting NPS may delay the onset of MCI or DAT. (2) Shared risk factor or confounding: a neuropsychiatric symptom is non-causally associated with AD/MCI because there is a third factor that leads to the genesis of both AD/MCI and NPS. The third factor (confounder) could be genetic, environmental, or both. Brain vascular disease or white matter change is an example [44]. (3) NPS caused by AD through reverse causality or psychological reaction: A person experiencing cognitive decline may develop depression, anxiety or a similar NPS as a psychological reaction. In this model, insight into the cognitive decline is a key antecedent of the psychological reaction. Alternatively, NPS may be a direct non-cognitive manifestation of the AD neurodegenerative disease as it affects key brain areas underlying behavior, emotion, or perception. (4) Interaction: a synergistic interaction between NPS and a biological factor leads to DAT/MCI. This model is supported in one study where the hazard ratio of developing incident MCI given depression (vs. no depression) was 2.0 but increased to 5.0 in the presence of both depression and apolipoprotein E ε4 carrier status [65]. These four mechanisms (and other possible mechanisms) are not mutually exclusive thus may act in some sort of combinations (Fig.).
Figure.
Possible Mechanisms Linking Neuropsychiatric Symptoms to DAT/MCI.**
A = etiologic pathway; B = confounding; C = reverse causality; D = interaction. Abbreviations: AD = Alzheimer’s disease; DAT = dementia of Alzheimer’s type; MCI = mild cognitive impairment.
**Modified from Geda et al., Arch Neurol 2006.
6. Treatment development
Development of novel treatments targeting NPS in AD is dependent upon three major factors: (1) reliable and valid measurement of NPS in AD; (2) a cohesive and plausible neurobiological model that takes into consideration both emotional behavior and cognition7; and (3) advances in neuroimaging and biomarkers that enable investigators to monitor response to treatment. Additionally, treatment development should not be limited to pharmacological interventions [67]. The clinical phenotype of NPS in AD is expressed in the context of environmental factors, therefore, treatment developments must take into consideration both neurobiological and psychosocial contexts of the development and manifestations of NPS in AD [68-70].
In summary, NPS in AD are a key component of the disease and over its course affect almost all patients with serious consequences. NPS are a major focus of treatment development efforts based on a growing understanding of their causes and biologic basis. The papers that follow provide greater detail on individual NPS along with detailed research recommendations.
Supplementary Material
Acknowledgements
The authors would like to thank Dr. Michelle M. Mielke for her helpful comments and feedback on early drafts of this manuscript.
Y.E.G. was supported by NIMH grant K01-MH68351, NIA grant U01-AG006786 (the Mayo Clinic Study of Aging), National Center for Research Resources grant RR024150 (Mayo Clinic CTSA [Career Transition Award]), the Robert Wood Johnson Foundation (Harold Amos Scholar), and the European Union Regional Development Fund (Project FNUSA-ICRC: CZ.1.05/1.1.00/02.0123).
L.S.S. reports being an editor on the Cochrane Collaboration Dementia and Cognitive Improvement Group, which oversees systematic reviews of drugs for cognitive impairment and dementia. He received a grant from the Alzheimer’s Association for a registry for dementia and cognitive impairment trials; he is also in receipt of grant or research support from Baxter, Elan Pharmaceuticals, Johnson & Johnson, Eli Lilly, Myriad, Novartis, and Pfizer. He has served as a consultant for or received consulting fees from Abbott Laboratories, AC Immune, Allergan, Allon, Alzheimer Drug Discovery Foundation, AstraZeneca, Bristol-Myers Squibb, Elan, Eli Lilly, Exonhit, Forest, GlaxoSmithKline, Ipsen Pharmaceuticals, Johnson & Johnson, Lundbeck, Myriad, Medavante, Medivation, Merck, Merz, Novartis, Pfizer, Roche, Sanofi-Aventis, Schering-Plough, Schwabe, Toyama, and Transition Therapeutics.
L.N.G. was supported by NIMH grants R24-MH074779, R01-MH079814, and RC1-MH090770-01, and Alzheimer’s Association grant IIRG-07-28686; and reports serving on the Phillips Life Line Falls Advisory Board.
D.S.M. is a full time employee of Bracket .
C.G.L. was supported by the Johns Hopkins Alzheimer’s Disease Research Center (P50-AG005146). He has received grant support (research or CME) from NIMH, NIA, Associated Jewish Federation of Baltimore, Weinberg Foundation, Forest, Glaxo-Smith-Kline, Eisai, Pfizer, Astra-Zeneca, Lilly, Ortho-McNeil, Bristol-Myers, Novartis, National Football League, Elan, Functional Neuromodulation Inc.; has served as consultant/advisor for Astra-Zeneca, Glaxo-Smith Kline, Eisai, Novartis, Forest, Supernus, Adlyfe, Takeda, Wyeth, Lundbeck, Merz, Lilly, Pfizer, Genentech, Elan, NFL Players Association, NFL Benefits Office, Avanir, Zinfandel; and received honorarium or travel support from Pfizer, Forest, Glaxo-Smith Kline, and Health Monitor.
Footnotes
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References
- [1].Martin JB. The integration of neurology, psychiatry, and neuroscience in the 21st century. Am J Psychiatry. 2002;159:695–704. doi: 10.1176/appi.ajp.159.5.695. [DOI] [PubMed] [Google Scholar]
- [2].Price BH, Adams RD, Coyle JT. Neurology and psychiatry: closing the great divide. Neurology. 2000;54:8–14. doi: 10.1212/wnl.54.1.8. [DOI] [PubMed] [Google Scholar]
- [3].Alzheimer A. Uber eine eigenartige erkrankung der hirnrinde. Allgemeine Zeitschrift fur Psychiatrie und Psychisch-Gerichtliche Medizin. 1907;64:146–148. [Google Scholar]
- [4].American Psychiatric Association. American Psychiatric Association . Task Force on DSM-IV. Diagnostic and Statistical Manual of Mental Disorders: DSM-IV. 4th ed American Psychiatric Association; Washington, DC: 1994. [Google Scholar]
- [5].McKhann G, Drachman D, Folstein M, Katzman R, Price D, Stadlan E. Clinical diagnosis of Alzheimer’s disease: Report of the NINCDS-ADRDA work group under the auspices of the Department of Health and Human Services Task Force on Alzheimer’s Disease. Neurology. 1984:34. doi: 10.1212/wnl.34.7.939. [DOI] [PubMed] [Google Scholar]
- [6].Schneider LS. Organising the language of Alzheimer’s disease in light of biomarkers. Lancet Neurol. 2010;9:1044–1045. doi: 10.1016/S1474-4422(10)70246-5. [DOI] [PubMed] [Google Scholar]
- [7].Dubois B, Feldman HH, Jacova C, Cummings JL, Dekosky ST, Barberger-Gateau P, et al. Revising the definition of Alzheimer’s disease: a new lexicon. Lancet Neurol. 2010;9:1118–1127. doi: 10.1016/S1474-4422(10)70223-4. [DOI] [PubMed] [Google Scholar]
- [8].Sperling RA, Aisen PS, Beckett LA, Bennett DA, Craft S, Fagan AM, et al. Toward defining the preclinical stages of Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement. 2011;7:280–292. doi: 10.1016/j.jalz.2011.03.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [9].Albert MS, DeKosky ST, Dickson D, Dubois B, Feldman HH, Fox NC, et al. The diagnosis of mild cognitive impairment due to Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement. 2011;7:270–279. doi: 10.1016/j.jalz.2011.03.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [10].McKhann GM, Knopman DS, Chertkow H, Hyman BT, Jack CR, Jr., Kawas CH, et al. The diagnosis of dementia due to Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement. 2011;7:263–269. doi: 10.1016/j.jalz.2011.03.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [11].Mesulam MM. From sensation to cognition. Brain. 1998;121:1013–1052. doi: 10.1093/brain/121.6.1013. [DOI] [PubMed] [Google Scholar]
- [12].Lyketsos CG, Carrillo MC, Ryan JM, Khachaturian AS, Trzepacz P, Amatniek J, et al. Neuropsychiatric symptoms in Alzheimer’s disease. Alzheimers Dement. 2011;7:532–539. doi: 10.1016/j.jalz.2011.05.2410. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [13].Lyketsos CG, Sheppard JM, Steinberg M, Tschanz JA, Norton MC, Steffens DC, et al. Neuropsychiatric disturbance in Alzheimer’s disease clusters into three groups: the Cache County study. Int J Geriatr Psychiatry. 2001;16:1043–1053. doi: 10.1002/gps.448. [DOI] [PubMed] [Google Scholar]
- [14].Alexopoulos GS, Abrams RC, Young RC, Shamoian CA. Cornell scale for depression in dementia. Biol Psychiatry. 1988;23:271–284. doi: 10.1016/0006-3223(88)90038-8. [DOI] [PubMed] [Google Scholar]
- [15].Marin RS. Apathy: a neuropsychiatric syndrome. J Neuropsychiatry Clin Neurosci. 1991;3:243–254. doi: 10.1176/jnp.3.3.243. [DOI] [PubMed] [Google Scholar]
- [16].Cohen-Mansfield J, Werner P, Marx MS. An observational study of agitation in agitated nursing home residents. Int Psychogeriatr. 1989;1:153–165. doi: 10.1017/s1041610289000165. [DOI] [PubMed] [Google Scholar]
- [17].Wragg RE, Jeste DV. Overview of depression and psychosis in Alzheimer’s disease. Am J Psychiatry. 1989;146:577–587. doi: 10.1176/ajp.146.5.577. [DOI] [PubMed] [Google Scholar]
- [18].Morris JC, Edland S, Clark C, Galasko D, Koss E, Mohs R, et al. The consortium to establish a registry for Alzheimer’s disease (CERAD). Part IV. Rates of cognitive change in the longitudinal assessment of probable Alzheimer’s disease. Neurology. 1993;43:2457–2465. doi: 10.1212/wnl.43.12.2457. [DOI] [PubMed] [Google Scholar]
- [19].Mirra SS, Heyman A, McKeel D, Sumi SM, Crain BJ, Brownlee LM, et al. The Consortium to Establish a Registry for Alzheimer’s Disease (CERAD). Part II. Standardization of the neuropathologic assessment of Alzheimer’s disease. Neurology. 1991;41:479–486. doi: 10.1212/wnl.41.4.479. [DOI] [PubMed] [Google Scholar]
- [20].Overall JE, Gorham DR. The Brief Psychiatric Rating Scale. Psychol Rep. 1962;10:799–812. [Google Scholar]
- [21].Wilkinson IM, Graham-White J. Psychogeriatric dependency rating scales (PGDRS): a method of assessment for use by nurses. Br J Psychiatry. 1980;137:558–565. doi: 10.1192/bjp.137.6.558. [DOI] [PubMed] [Google Scholar]
- [22].Helmes E, Csapo KG, Short JA. Standardization and validation of the Multidimensional Observation Scale for Elderly Subjects (MOSES) J Gerontol. 1987;42:395–405. doi: 10.1093/geronj/42.4.395. [DOI] [PubMed] [Google Scholar]
- [23].Teri L, Truax P, Logsdon R, Uomoto J, Zarit S, Vitaliano PP. Assessment of behavioral problems in dementia: the revised memory and behavior problems checklist. Psychol Aging. 1992;7:622–631. doi: 10.1037//0882-7974.7.4.622. [DOI] [PubMed] [Google Scholar]
- [24].Cummings JL, Mega M, Gray K, Rosenberg-Thompson S, Carusi DA, Gornbein J. The Neuropsychiatric Inventory: comprehensive assessment of psychopathology in dementia. Neurology. 1994;44:2308–2314. doi: 10.1212/wnl.44.12.2308. [DOI] [PubMed] [Google Scholar]
- [25].Black R, Greenberg B, Ryan JM, Posner H, Seeburger J, Amatniek J, et al. Scales as outcome measures for Alzheimer’s disease. Alzheimers Dement. 2009;5:324–339. doi: 10.1016/j.jalz.2009.05.667. [DOI] [PubMed] [Google Scholar]
- [26].Olin JT, Fox LS, Pawluczyk S, Taggart NA, Schneider LS. A pilot randomized trial of carbamazepine for behavioral symptoms in treatment-resistant outpatients with Alzheimer disease. Am J Geriatr Psychiatry. 2001;9:400–405. [PubMed] [Google Scholar]
- [27].De Deyn PP, Rabheru K, Rasmussen A, Bocksberger JP, Dautzenberg PL, Eriksson S, et al. A randomized trial of risperidone, placebo, and haloperidol for behavioral symptoms of dementia. Neurology. 1999;53:946–955. doi: 10.1212/wnl.53.5.946. [DOI] [PubMed] [Google Scholar]
- [28].Paleacu D, Barak Y, Mirecky I, Mazeh D. Quetiapine treatment for behavioural and psychological symptoms of dementia in Alzheimer’s disease patients: a 6-week, double-blind, placebo-controlled study. Int J Geriatr Psychiatry. 2008;23:393–400. doi: 10.1002/gps.1892. [DOI] [PubMed] [Google Scholar]
- [29].Tariot PN, Solomon PR, Morris JC, Kershaw P, Lilienfeld S, Ding C. A 5-month, randomized, placebo-controlled trial of galantamine in AD. The Galantamine USA-10 Study Group. Neurology. 2000;54:2269–2276. doi: 10.1212/wnl.54.12.2269. [DOI] [PubMed] [Google Scholar]
- [30].Schneider LS, Tariot PN, Dagerman KS, Davis SM, Hsiao JK, Ismail MS, et al. Effectiveness of atypical antipsychotic drugs in patients with Alzheimer’s disease. N Engl J Med. 2006;355:1525–1538. doi: 10.1056/NEJMoa061240. [DOI] [PubMed] [Google Scholar]
- [31].Hwang TJ, Masterman DL, Ortiz F, Fairbanks LA, Cummings JL. Mild cognitive impairment is associated with characteristic neuropsychiatric symptoms. Alzheimer Dis Assoc Disord. 2004;18:17–21. doi: 10.1097/00002093-200401000-00004. [DOI] [PubMed] [Google Scholar]
- [32].Kokmen E, Ozsarfati Y, Beard CM, O’Brien PC, Rocca WA. Impact of referral bias on clinical and epidemiological studies of Alzheimer’s disease. J Clin Epidemiol. 1996;49:79–83. doi: 10.1016/0895-4356(95)00031-3. [DOI] [PubMed] [Google Scholar]
- [33].Tsuang D, Kukull W, Sheppard L, Barnhart RL, Peskind E, Edland SD, et al. Impact of sample selection on APOE epsilon 4 allele frequency: a comparison of two Alzheimer’s disease samples. J Am Geriatr Soc. 1996;44:704–707. doi: 10.1111/j.1532-5415.1996.tb01836.x. [DOI] [PubMed] [Google Scholar]
- [34].Lyketsos CG, Sheppard JM, Steinberg M, Tschanz JA, Norton MC, Steffens DC, et al. Neuropsychiatric disturbance in Alzheimer’s disease clusters into three groups: the Cache County study. [see comments.] Int J Geriatr Psychiatry. 2001;16:1043–1053. doi: 10.1002/gps.448. [DOI] [PubMed] [Google Scholar]
- [35].Lyketsos CG, Lopez O, Jones B, Fitzpatrick AL, Breitner J, DeKosky S. Prevalence of neuropsychiatric symptoms in dementia and mild cognitive impairment: results from the Cardiovascular Health Study. JAMA. 2002;288:1475–1483. doi: 10.1001/jama.288.12.1475. [DOI] [PubMed] [Google Scholar]
- [36].Geda YE, Roberts RO, Knopman DS, Petersen RC, Christianson TJ, Pankratz VS, et al. Prevalence of neuropsychiatric symptoms in mild cognitive impairment and normal cognitive aging: population-based study. Arch Gen Psychiatry. 2008;65:1193–1198. doi: 10.1001/archpsyc.65.10.1193. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [37].Palmer K, Di Iulio F, Varsi AE, Gianni W, Sancesario G, Caltagirone C, et al. Neuropsychiatric predictors of progression from amnestic-mild cognitive impairment to Alzheimer’s disease: the role of depression and apathy. J Alzheimers Dis. 2010;20:175–183. doi: 10.3233/JAD-2010-1352. [DOI] [PubMed] [Google Scholar]
- [38].Kaufer DI, Cummings JL, Ketchel P, Smith V, MacMillan A, Shelley T, et al. Validation of the NPI-Q, a brief clinical form of the Neuropsychiatric Inventory. J Neuropsychiatry Clin Neurosci. 2000;12:233–239. doi: 10.1176/jnp.12.2.233. [DOI] [PubMed] [Google Scholar]
- [39].Morris JC, Weintraub S, Chui HC, Cummings J, Decarli C, Ferris S, et al. The Uniform Data Set (UDS): clinical and cognitive variables and descriptive data from Alzheimer Disease Centers. Alzheimer Dis Assoc Disord. 2006;20:210–216. doi: 10.1097/01.wad.0000213865.09806.92. [DOI] [PubMed] [Google Scholar]
- [40].de Medeiros K, Robert P, Gauthier S, Stella F, Politis A, Leoutsakos J, et al. The Neuropsychiatric Inventory-Clinician rating scale (NPI-C): reliability and validity of a revised assessment of neuropsychiatric symptoms in dementia. Int Psychogeriatr. 2010;22:984–994. doi: 10.1017/S1041610210000876. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [41].Kranzler HR, Kadden RM, Babor TF, Rounsaville BJ. Longitudinal, expert, all data procedure for psychiatric diagnosis in patients with psychoactive substance use disorders. J Nerv Ment Dis. 1994;182:277–283. doi: 10.1097/00005053-199405000-00005. [DOI] [PubMed] [Google Scholar]
- [42].Robinson RG, Jorge RE, Clarence-Smith K, Starkstein S. Double-blind treatment of apathy in patients with poststroke depression using nefiracetam. J Neuropsychiatry Clin Neurosci. 2009;21:144–151. doi: 10.1176/jnp.2009.21.2.144. [DOI] [PubMed] [Google Scholar]
- [43].Alexopoulos GS, Meyers BS, Young RC, Campbell S, Silbersweig D, Charlson M. ’Vascular depression’ hypothesis. Arch Gen Psychiatry. 1997;54:915–922. doi: 10.1001/archpsyc.1997.01830220033006. [DOI] [PubMed] [Google Scholar]
- [44].Alexopoulos GS. The vascular depression hypothesis: 10 years later. Biol Psychiatry. 2006;60:1304–1305. doi: 10.1016/j.biopsych.2006.09.006. [DOI] [PubMed] [Google Scholar]
- [45].Zubenko GS, Moossy J, Kopp U. Neurochemical correlates of major depression in primary dementia. Arch Neurol. 1990;47:209–214. doi: 10.1001/archneur.1990.00530020117023. [DOI] [PubMed] [Google Scholar]
- [46].Alexander GE, Crutcher MD, DeLong MR. Basal ganglia-thalamocortical circuits: parallel substrates for motor, oculomotor, “prefrontal” and “limbic” functions. Prog Brain Res. 1990;85:119–146. [PubMed] [Google Scholar]
- [47].Cummings JL. Frontal-subcortical circuits and human behavior. Arch Neurol. 1993;50:873–880. doi: 10.1001/archneur.1993.00540080076020. [DOI] [PubMed] [Google Scholar]
- [48].Benarroch EE. Basic Neurosciences with Clinical Applications. Butterworth Heinemann/Elsevier; Philadelphia: 2006. [Google Scholar]
- [49].Geschwind N, Kaplan E. A human cerebral deconnection syndrome. A preliminary report. Neurology. 1962;12:675–685. doi: 10.1212/wnl.12.10.675. [DOI] [PubMed] [Google Scholar]
- [50].Mesulam MM. Principles of Behavioral Neurology. F.A. Davis; Philadelphia: 1985. [Google Scholar]
- [51].Mesulam MM. Principles of Behavioral and Cognitive Neurology. 2nd ed Oxford University Press; Oxford; New York: 2000. pp. 1–120. [Google Scholar]
- [52].Mesulam MM. Large-scale neurocognitive networks and distributed processing for attention, language, and memory. Ann Neurol. 1990;28:597–613. doi: 10.1002/ana.410280502. [DOI] [PubMed] [Google Scholar]
- [53].Smith GS, Kramer E, Hermann C, Ma Y, Dhawan V, Chaly T, et al. Serotonin modulation of cerebral glucose metabolism in depressed older adults. Biol Psychiatry. 2009;66:259–266. doi: 10.1016/j.biopsych.2009.02.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [54].Smith GS, Kramer E, Ma Y, Hermann CR, Dhawan V, Chaly T, et al. Cholinergic modulation of the cerebral metabolic response to citalopram in Alzheimer’s disease. Brain. 2009;132:392–401. doi: 10.1093/brain/awn326. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [55].Sultzer DL, Brown CV, Mandelkern MA, Mahler ME, Mendez MF, Chen ST, et al. Delusional thoughts and regional frontal/temporal cortex metabolism in Alzheimer’s disease. Am J Psychiatry. 2003;160:341–349. doi: 10.1176/appi.ajp.160.2.341. [DOI] [PubMed] [Google Scholar]
- [56].Reeves S, Brown R, Howard R, Grasby P. Increased striatal dopamine (D2/D3) receptor availability and delusions in Alzheimer disease. Neurology. 2009;72:528–534. doi: 10.1212/01.wnl.0000341932.21961.f3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [57].Marshall GA, Monserratt L, Harwood D, Mandelkern M, Cummings JL, Sultzer DL. Positron emission tomography metabolic correlates of apathy in Alzheimer disease. Arch Neurol. 2007;64:1015–1020. doi: 10.1001/archneur.64.7.1015. [DOI] [PubMed] [Google Scholar]
- [58].Smith GS, Gunning-Dixon FM, Lotrich FE, Taylor WD, Evans JD. Translational research in late-life mood disorders: implications for future intervention and prevention research. Neuropsychopharmacology. 2007;32:1857–1875. doi: 10.1038/sj.npp.1301333. [DOI] [PubMed] [Google Scholar]
- [59].Sweet RA, Pollock BG, Sukonick DL, Mulsant BH, Rosen J, Klunk WE, et al. The 5-HTTPR polymorphism confers liability to a combined phenotype of psychotic and aggressive behavior in Alzheimer disease. Int Psychogeriatr. 2001;13:401–409. doi: 10.1017/s1041610201007827. [DOI] [PubMed] [Google Scholar]
- [60].DeMichele-Sweet MA, Sweet RA. Genetics of psychosis in Alzheimer’s disease: a review. J Alzheimers Dis. 2010;19:761–780. doi: 10.3233/JAD-2010-1274. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [61].Klunk WE, Engler H, Nordberg A, Wang Y, Blomqvist G, Holt DP, et al. Imaging brain amyloid in Alzheimer’s disease with Pittsburgh Compound-B. Ann Neurol. 2004;55:306–319. doi: 10.1002/ana.20009. [DOI] [PubMed] [Google Scholar]
- [62].Butters MA, Klunk WE, Mathis CA, Price JC, Ziolko SK, Hoge JA, et al. Imaging Alzheimer pathology in late-life depression with PET and Pittsburgh Compound-B. Alzheimer Dis Assoc Disord. 2008;22:261–268. doi: 10.1097/WAD.0b013e31816c92bf. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [63].Jorm AF, Van Duijn CM, Chandra V, Fratiglioni L, Graves AB, Heyman A, et al. Psychiatric history and related exposures as risk factors for Alzheimer’s disease: a collaborative re-analysis of case-control studies. EURODEM Risk Factors Research Group. Int J Epidemiol. 1991;20:S43–47. doi: 10.1093/ije/20.supplement_2.s43. [DOI] [PubMed] [Google Scholar]
- [64].Jorm A, van Duijn C, Chandra V, Fratiglioni L, Graves A, Heyman A, et al. Psychiartric history and related exposures as risk factors for Alzheimer’s disease: a collaborative re-analysis of case-control studies. EURODEM Risk Factors Research Group. Int J Epidemiol. 1991;20:S43–S47. doi: 10.1093/ije/20.supplement_2.s43. [DOI] [PubMed] [Google Scholar]
- [65].Geda YE, Knopman DS, Mrazek DA, Jicha GA, Smith GE, Negash S, et al. Depression, apolipoprotein E genotype, and the incidence of mild cognitive impairment: a prospective cohort study. Arch Neurol. 2006;63:435–440. doi: 10.1001/archneur.63.3.435. [DOI] [PubMed] [Google Scholar]
- [66].Sapolsky RM. Glucocorticoids and hippocampal atrophy in neuropsychiatric disorders. Arch Gen Psychiatry. 2000;57:925–935. doi: 10.1001/archpsyc.57.10.925. [DOI] [PubMed] [Google Scholar]
- [67].Gitlin LN, Winter L, Dennis MP, Hodgson N, Hauck WW. Targeting and managing behavioral symptoms in individuals with dementia: a randomized trial of a nonpharmacological intervention. J Am Geriatr Soc. 2010;58:1465–1474. doi: 10.1111/j.1532-5415.2010.02971.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [68].Ayalon L, Gum AM, Feliciano L, Arean PA. Effectiveness of nonpharmacological interventions for the management of neuropsychiatric symptoms in patients with dementia: a systematic review. Arch Intern Med. 2006;166:2182–2188. doi: 10.1001/archinte.166.20.2182. [DOI] [PubMed] [Google Scholar]
- [69].Teri L, Gibbons LE, McCurry SM, Logsdon RG, Buchner DM, Barlow WE, et al. Exercise plus behavioral management in patients with Alzheimer disease: a randomized controlled trial. JAMA. 2003;290:2015–2022. doi: 10.1001/jama.290.15.2015. [DOI] [PubMed] [Google Scholar]
- [70].Cohen-Mansfield J. Nonpharmacological interventions for persons with dementia. Alzheimers Care Today. 2005;6:129–145. [Google Scholar]
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