Abstract
Senile depression (SD) is a heterogeneous syndrome. Several clinical profiles are more likely to appear in SD than in early‐life depression, but it remains unclear whether the pathophysiology is different. The prevalence of dementia increases with aging, and the underlying pathophysiological processes in the preclinical phase begin even before cognitive deficits or neurological signs appear. SD may be either a risk factor for developing dementia or a prodromal stage of dementia. The inconsistent findings regarding the association between SD and incident dementia may be attributable to the neuropathological heterogeneity underlying SD. Most studies have focused on patients with the clinical diagnosis of Alzheimer disease (AD) as an outcome, but several clinicopathological studies suggest that primary age‐related tauopathy and argyrophilic grain disease may account for a proportion of cases clinically misdiagnosed as AD in the elderly population. Furthermore, most AD cases have additional neuropathologic changes such as cerebrovascular disease and Lewy body disease. Here, we review the neuropathological findings linking SD to incident dementia, focusing on common age‐related neuropathologies. In particular, the roles of disturbance of neural circuity, imbalance of monoaminergic systems, dysregulation of the hypothalamic–pituitary–adrenal axis, and elevated neuroinflammatory status are discussed. Finally, we review the current treatment of SD in the context of age‐related neuropathological changes.
Keywords: Alzheimer disease, Lewy body disease, neuropathology, senile depression, tau
Introduction
Overview of senile depression in the context of age‐related neuropathology
The prevalence of depression and depressive symptoms, known as senile depression (SD), is high in elderly populations, 1 , 2 and several expert consensus reports and guidelines on the diagnosis and treatment of SD have appeared in recent years. 3 , 4 SD is a heterogeneous syndrome; for example, the onset of depression in patients with dementia is later than in patients with depression alone, 5 and there may be various coexisting age‐related neuropathologies. Brain neuroimaging studies have uncovered significant abnormalities in patients with SD. 6 , 7 , 8 Cortical tau deposition identified using tau radioligand in geriatric patients with major depressive disorder (MDD) was significantly greater than in controls, whereas amyloid β (Aβ) accumulation was similar in the two groups. 6 Indeed, based on the Alzheimer's Disease Neuroimaging Initiative's Depression Project (ADNI‐D) database, the SD group showed less Aβ deposition than the nondepressed group. 8 A subset of patients with late‐onset depressive disorder share clinical features with Lewy body disease (LBD), including abnormal dopamine transporter (DAT) binding. 7 In the analysis of the National Alzheimer's Coordinating Center database, a longitudinal study revealed that neuropsychiatric symptoms in cognitively normal elderly individuals were useful in predicting incident dementia and its subtypes. 9 Risk estimates of affective symptoms or psychotic symptoms were different across subtypes of incident dementia during follow‐up. These findings suggest the presence of distinct subgroups, and may provide insights into the pathophysiology of SD. Therefore, it is important to understand SD in the context of coexisting age‐related neuropathologies.
The prevalence of dementia increases with aging, and the underlying pathophysiological process in the long predementia phase begins even before cognitive deficits or neurological signs appear. SD may be a risk factor for developing dementia or may represent a prodromal stage of dementia. These possibilities are not mutually exclusive, but many conflicting results have been reported, possibly attributable to the neuropathological heterogeneity underlying SD. Many previous studies have focused on Alzheimer disease (AD) as a possible outcome, but there are few data regarding specific diagnostic biomarkers or pathological verification. Several clinicopathological studies indicate that some primary age‐related tauopathy (PART) and argyrophilic grain disease (AGD) may have been clinically misdiagnosed as AD in elderly patients. 10 Furthermore, most patients with AD have complications such as cerebrovascular disease or LBD including dementia with Lewy bodies (DLB). 10 However, there has been little investigation of non‐AD subtypes as outcomes. This review highlights the potential neuropathological basis for linking SD to incident dementia based on the common age‐related neuropathologies. In particular, we focus on similarities in the neurobiological alterations in depression and dementia, such as disturbance of neural circuity, imbalance of monoaminergic systems, dysregulation of the hypothalamic–pituitary–adrenal (HPA) axis, and elevated neuroinflammatory events. Finally, we review the current treatment of SD in the context of age‐related neuropathological changes.
Clinical characteristics of SD
Although neither the United Nations nor the World Health Organization has clearly defined ‘senile’ or ‘late‐life’, it is generally defined as being 65 years of age or older. However, the age cutoffs of studies on SD have varied between 50 and 75 years. The frequency of SD in people 65 years and older in Japan is reported to be 4.5%. 11 Suicidal ideation, pessimism, psychomotor agitation, hypochondria, and somatic symptoms are more frequent 12 and psychotic symptoms are more likely to appear in SD than in early‐life depression. 13 SD is less responsive to antidepressant treatment 14 and has a higher recurrence rate. 15 , 16 There are significant differences between early‐onset and late‐onset SD. Late‐onset SD is associated with greater neurological changes, 17 , 18 worse cognitive performance, 17 , 19 , 20 , 21 less severe depression, 17 , 22 family history of mood disorder, 23 superior response to electroconvulsive therapy (ECT), 24 and higher incidence of dementia 22 compared with early‐onset SD. It has been shown that 45% of inpatients with SD have psychotic symptoms, 25 and patients with senile psychotic depression have later onset age than patients with nonpsychotic SD. 13 Psychotic symptoms in SD may be associated with the pathophysiology of aging and dementia. In a meta‐analysis, patients with senile psychotic depression showed greater deficits in all cognitive domains, except verbal fluency, compared with patients with nonpsychotic SD. 26 It is crucial that clinicians and researchers take cognitive deficits into account in senile psychotic depression. These data may also indicate that senile psychotic depression is associated with the pathophysiology of aging and dementia.
Biological Aspects of SD and Its Relation to Age‐Related Neuropathology
Overlapping of biological features between SD and dementia
SD often occurs in patients with dementia. For example, 15% of patients with AD 27 and 30% of patients with mild cognitive impairment (MCI) 28 were reported to have comorbid depression. Apathy, which is difficult to differentiate from depression, is also present in 50% of patients with AD, 29 and patients with DLB also frequently develop depression before the onset of core symptoms. 30 Apathy, generally lacking the features of sad mood or distress, might be related to frontal lobe pathology, including frontotemporal dementia. 3 A magnetic resonance imaging (MRI) study suggests that progression of apathy is associated with low baseline gray matter volume in the frontal and cingulate regions. 31
A large cohort study found an increase in depressive symptoms ≈10 years before the onset of dementia, 32 and 71% of patients with pseudodementia caused by SD progressed to dementia. 33 The comorbidity and clinical overlaps suggest a role of common pathophysiological process(es) in SD and dementia.
Figure 1 shows the pathophysiological relationships between depression and dementia. Depression is characterized by a decrease in monoamines and an increase in the HPA system, whereas dementia has characteristic pathological findings. Similarities between these disorders include neuroinflammation, elevated proinflammatory cytokines, decreased neurotrophic factors, abnormal synaptic function, deep white matter lesions, and increased brain atrophy. If depression is a prodrome of dementia, and if it is present 10 years before the onset of dementia, then several biomarkers may be useful for diagnosing SD. 34 , 35 , 36 , 37
Imbalance of monoaminergic systems
The monoamine hypothesis is the most explored putative explanation for the pathophysiology of MDD. Consequently, monoamine neurotransmitters, including serotonin, norepinephrine, and dopamine, play a pivotal role in the current pharmacological treatment of depression. These monoaminergic systems are altered or impaired in association with age‐related neuropathological changes. The monoaminergic neurons in the brainstem nuclei innervate a multitude of brain regions, and are involved in early disease process, such as accumulation of phosphorylated tau and α‐synuclein. Some recent clinicopathological studies have focused on the relationship of neurodegenerative changes in these nuclei to SD. Considering the progressive character of neurodegenerative disorders and the vulnerability of monoaminergic systems, such neuropathological changes may influence the clinical course, including recurrence of depressive episodes.
The recent development of neuroimaging techniques has enabled evaluation of changes in fibers arising from the brainstem nuclei, including white matter lesions. The current standardized antidepressant treatments rapidly increase the concentration of monoamine in synaptic clefts, but symptomatic relief in terms of an effect on mood takes several weeks. Therefore, subsequent studies have focused on modulating monoaminergic neurotransmission, including changes at the level of gene and protein expression. 37 , 38 , 39 Levels of receptors related to synaptic transmission have also been investigated by means of high‐resolution imaging with highly selective radiotracers, as well as histological methods. Serotonin transporter levels are decreased in the temporal cortical and limbic (amygdala and hippocampus) regions in SD, 38 and this may lead to a poor response to antidepressants in acute treatment. For example, a recent meta‐analysis showed that there was no difference in response between antidepressants and placebo in persons older than 65 years. 14 One reason for the poor response may be the pathophysiology of aging and dementia. For example, amyloid status may have significant effects on antidepressant response. 39 Interestingly, patients with amyloid‐negative SD showed a better response to antidepressant treatment than amyloid‐positive patients. However, further research is needed.
Disturbances in HPA system in SD
SD is associated with neuroendocrine changes. In the HPA pathway of SD or dementia, this axis is activated, with elevated corticotrophin‐releasing hormone and vasopressin production by cells of the hypothalamic paraventricular nucleus. 40 In the hypothalamus and pituitary, negative feedback regulation is impaired owing to decreased expression of corticosteroid receptors as well as upstream central nervous system (CNS) regulatory centers. 41 Increased glucocorticoid production may induce hippocampal atrophy via downregulation of glucocorticoid receptors. 40 HPA dysregulation induces chronic elevation of adrenal glucocorticoid production with impaired negative feedback and abnormal homeostatic regulation in MDD, 41 and postdexamethasone cortisol levels are increased. 42 In animal studies, the cortisol‐hippocampal link is associated with response to stress, and it was shown that high‐stress conditions or exogenous glucocorticoids can cause memory impairment based on hippocampal neuronal damage. 43 Human studies in the elderly have demonstrated that hippocampal volume is decreased in the setting of elevated glucocorticoids and in proportion to the duration of hypercortisolemia. 44
In various neuropathological processes, hypothalamic dysfunction caused by disease‐specific pathology affects body weight, sleep, and circadian rhythm. The affected cell types are still unknown, especially in humans, although some animal model studies have been reported. 45 It seems likely that glucocorticoid‐related derangement of hippocampal physiology may increase vulnerability to other pathophysiologic mechanisms such as accumulation of phosphorylated tau or cerebrovascular disease. 41
Neuroinflammation in SD related to dementia
Inflammatory processes are closely associated with multiple neurodegenerative pathways involved in depression or neurodegenerative diseases, 46 and inflammation‐induced cytokines play a role in dementia. 46 In the brain tissues, microglia are primarily responsible for inflammatory responses. 47 Furthermore, a strong peripheral inflammatory response to systemic lipopolysaccharide 48 or viral infection 49 leads to leukocyte infiltration of the CNS, resulting in neuroinflammation and neurodegeneration. Microglial activation follows, triggering the release of inflammatory mediators that promote blood–brain barrier (BBB) permeabilization. Subsequently, peripheral leukocytes, including T cells and macrophages, which share several functional features with microglia, infiltrate into the CNS.48
Possible reasons for the association between inflammation and SD include oxidative stress, elevated levels of the proinflammatory cytokines interleukin (IL) 6 and IL‐8, 50 deconjugation of endothelial nitric oxide synthase, and hyperglutaminergic activity. Thus, indirect evidence of neurovascular dysfunction has been found in MDD 51 in the form of elevated levels of peripheral inflammatory markers, depression, and severe psychiatric disorders associated with death by suicide. 52 Microglia are a major source and target of inflammatory cytokines in the CNS and have been implicated in the incidence and progression of MDD. 53 Meta‐analyses have shown that elevated levels of tumor necrosis factor α and IL‐6 in peripheral blood strongly correlated with MDD. 54 and depressed patients with AD had the highest levels of circulating IL‐6 and tumor necrosis factor α. 55 Furthermore, depressed patients with AD showed a positive correlation between cognitive impairment and cytokine levels. 55 Similarly, type 2 diabetes (T2D), which is associated with systemic inflammation, 56 significantly increases the risk of AD in depressed patients. An epidemiological study including data collected from all Danish citizens older than 50 years (≈14 million person‐years) showed that the incidence of AD is higher in patients with coexisting T2D and depression than in patients with either condition alone. 57 Nevertheless, T2D, depression, and AD are complex disorders, and, as discussed below, other mechanisms in addition to inflammation may be involved in their association.
As an example of neuroinflammation related to depression, viral infections such as coronavirus disease 2019 (COVID‐19) may lead to prolonged inflammation in the brain and induce brain atrophy. 58 The resulting neuropsychiatric symptoms, such as depression, brain fog, and anxiety, can lead to a variety of neurological disorders. Viral proteins are found in vascular endothelium, together with vascular inflammation and angiotensin‐converting enzyem 2 receptor expression, leading to activation of cytokine release and hypercoagulation pathways in the blood, and resulting in the formation of small‐ and large‐vessel occlusions in the brain. High levels of cytokines in the cerebral vessels can damage the BBB, and once infiltrated into the brain, can damage neurons and glia, resulting in seizures and/or encephalopathy. It may be possible to mitigate prolonged neuropsychiatric symptoms after COVID‐19 infection by preventing hypoxia and severe infection and maintaining cerebral blood circulation.
SD and Age‐Related Neuropathology
The Table 1 summarizes the neuropathological features in common age‐related pathology associated with depressive symptoms.
Table 1.
Age‐related pathology | Typical affected brain regions | Neuropathological hallmarks | Candidate regions associated with comorbid depressive symptoms |
---|---|---|---|
Vascular pathology | Periventricular, deep white matter | Arteriosclerosis, dilated periventricular spaces, ischemia, perivascular demyelination, vascular ecstasia, lacunar infarction | Frontostriatal circuits; frontal cortex, paralimbic areas, and striatum |
Alzheimer disease |
Medial temporal cortex (hippocampus) in early stage With progression, parietal and frontal cortex |
Senile plaques (amyloid β), neurofibrillary tangles (phosphorylated tau) with neuronal loss/astrogliosis in the affected neocortices 3 repeat/4 repeat tauopathy |
Limbic regions, various associated neocortical regions, as well as subcortical nuclei |
Primary age‐related tauopathy | Limited regions in the medial temporal lobe, especially in hippocampus/hippocampal gyrus |
Neurofibrillary tangles including ghost tangles with neuronal loss/astrogliosis, lacking significant amyloid β plaques 3 repeat/4 repeat tauopathy |
Limbic regions, subcortical nuclei especially in the nucleus accumbens |
Argyrophilic grain disease | Limbic regions including the hippocampus, entorhinal cortex, and the amygdala nucleus |
Neurofibrillary tangles with a characteristic massive occurrence of argyrophilic and tau‐positive grains 4 repeat tauopathy |
Limbic regions, including the amygdala |
Lewy body disease | Brainstem‐predominant Lewy body disease; brainstem including substantianigra and locus coeruleus, transitional Lewy body disease; mainly in limbic regions, and diffuse neocortical Lewy body disease; neocortices | Lewy bodies and Lewy neurites in the central, peripheral, and autonomic nervous system. α‐synucleinopathy | Monoaminergic systems including the nigrostriatum, limbic regions |
Vascular pathology
Vascular changes appearing as white matter hyperintensities in the elderly
White matter hyperintensities (WMH), which are frequently seen on MRI, particularly T2‐weighted MRI 59 , 60 of elderly people, are associated with various geriatric disorders, such as cerebrovascular diseases, cardiovascular diseases, dementia (including mild cognitive impairments), and SD. White matter consists of myelinated axons, and the neuroimaging condition known as WMH neuropathologically reflects decreased axon number (Fig. 2a,b), smaller axons coupled with losses in the ependymal cell layer, reactive gliosis, and increased periependymal extracellular fluid content. 61 Several pathophysiological mechanisms may be involved, such as cerebrovascular risk factors, particularly hypertension, diabetes, history of myocardial infarction or coronary artery disease, and smoking. 62 WMH has been differentiated into periventricular WMH (PVWMH) and deep WMH (DWMH). 63 PVWMH is caused by leakage of cerebrospinal fluid into the periventricular regions, whereas DWMH is induced as a result of various degenerative processes including atherosclerosis, lacunar infarctions (Fig. 2c), atrophic demyelination, and arteriolar hyalinization (Fig. 2d). PVWMH occasionally shows continuity with DWMH. PVWMH has been mostly associated with cognitive impairment, whereas DWMH is linked more to mood disorders. 64 , 65 The Fazekas scale, one of the visual scales for WMH, is mostly used to assess the severity. 63 Recently, another scale has been introduced to differentiate the subcortical white matter and basal ganglia. 66
Associations of WMH with vascular changes and SD
WMHs in patients with SD reflect a cerebrovascular change that predisposes individuals to the development of depression, 67 according to the well‐known hypothesis concerning vascular depression of late onset. 67 , 68 Some quantitative studies have found significant differences between early‐ and late‐onset depression, suggesting different etiological mechanisms, 59 although this remains controversial. 69 , 70
Recent neuropathological and imaging studies have highlighted the importance of WMH, especially in prefrontal regions that play a role in neural circuits related to depression. The pathology of PVWMH spreads from the subcortical regions, which can affect microvascular blood flow to the prefrontal regions. 71 Thus, PVWMH frequently leads to defects in psychomotor control and function. 72 DWMH correlates with defects in motivation, concentration, and decision‐making, as well as apathy, negative affect, and dysphoria. 73 As regards regional mechanisms of depression, frontostriatal circuits through the fiber tract connecting frontal cortex, paralimbic areas, and striatum, which are associated with depression, are disrupted. 67 , 74 Pathological studies indicate lower densities of oligodendroglial cells in MDD. 75 MRI studies of segmented brain white matter hyperintensities revealed that patients with SD had damage in white matter tracts, such as the superior longitudinal fasciculus, fronto‐occipital fasciculus, uncinate fasciculus, extreme capsule, and inferior longitudinal fasciculus, which are associated with episodic memory, poor processing speed, and poor executive function. 76 Some genetic studies support an association between WMH and mood disorders 77 , 78 Patients with bipolar disorder show more severe WMH than patients with MDD or healthy controls, 79 , 80 suggesting that patients with bipolar disorder may be more vulnerable to such changes. Further studies, especially by diffusion tensor imaging, are needed.
Tauopathies
Clinicopathological concepts of tauopathy
SD is frequent in patients with tauopathies, which are a broad class of neurodegenerative diseases characterized by pathological aggregation of tau protein, including AD, PART, AGD, progressive supranuclear palsy, corticobasal degeneration, Pick disease, frontotemporal dementia and parkinsonism linked to chromosome 17, globular glial tauopathies, chronic traumatic encephalopathy, and aging‐related tau astrogliopathy. 81 Tauopathies have been distinguished based on the ratio of 3 repeat (3R) and/or 4 repeat (4R) tau and major bands such as 60, 64, and 68 kDa. 82 Pick disease is classified into the 3R tauopathy group. The 4R tauopathies group consists of corticobasal degeneration, progressive supranuclear palsy, AGD, aging‐related tau astrogliopathy, and globular glial tauopathy, while the mixed 3R/4R group consists of neurofibrillary tangles (NFT)‐dementia, including AD and PART. Neuropathological diagnoses of these diseases are based on the molecular isoforms of abnormally accumulated tau, the pattern of accumulation in neurons and glial cells, and the regional distribution. As in all neurodegenerative diseases, tauopathies show characteristic vulnerability of specific brain regions. The regional distributions of tau and neuronal loss reflect different clinical features. The pathophysiological basis of tauopathies and depression with cognitive impairments remains unclear, but some recent studies suggest that the characteristic symptoms reflect specific regional neuronal degeneration. Next, we will consider typical tauopathies frequently presenting neuropsychiatric symptoms, including SD with mild cognitive decline.
Alzheimer disease
AD is a well‐known tauopathy, and its diagnostic hallmarks are the presence of both tau‐reactive NFTs (Fig. 3a) and Aβ deposits (called senile plaque [SP]) (Fig. 3b). Recent biomarker studies suggest that neuropsychiatric symptoms are driven by neuropathological changes in AD. 83 , 84 For evaluating progression of NFTs in the brain, the Braak staging system is highly reproducible. 85 NFTs mainly start in the hippocampal region and spread gradually throughout the brain. In Braak stages I/II, cortical NFTs start from the entorhinal/transentorhinal cortex, then spread to paralimbic cortices and other hippocampal regions in Braak stages III/IV, and finally reach the higher‐order association areas and primary neocortex in Braak stages V/VI85.
Pathological reports suggest a strong correlation between NFTs and cognitive impairment. 86 Braak stage III correlates poorly with cognitive decline, whereas Braak stages IV and above are consistently associated with at least mild dementia. 86 Interestingly, in terms of psychiatric symptoms, Braak stage I/II correlates with agitation, anxiety, appetite changes, and depression, while delusions are associated with Braak stage III/IV or higher. 87 In this context, Braak stage III or less might most frequently present with psychiatric symptoms. Other neuropathological studies have also supported the notion that deposition of phosphorylated tau may be accelerated in AD with psychosis. 88 , 89 The Braak staging system has recently been revised to include the onset of NFT pathology in subcortical nuclei as a precortical stage. In early‐stage AD, NFT pathology initially develops in the subcortical nuclei, such as the locus coeruleus, dorsal raphe nucleus, and perifornical nucleus of the hypothalamus, rather than in the hippocampus and neocortices. 90 Subcortical nuclei accumulate NFTs at Braak stage 0, in association with anxiety, depression, and sleep disturbances. Thus, neuropsychiatric symptoms might be part of the constellation of early clinical symptoms. Consequently, effective treatment of these symptoms might also be effective for AD pathology. Thus, it would be useful to identify neuropsychiatric symptoms precisely at the precognitive stage.
With the progression of AD, other neurological features gradually appear. The regional spread of phosphorylated tau and its intraneuronal accumulation affect distinct phenomena that could contribute in different ways to the disease phenotype. 88 Memory problems usually occur first, and agnosia, apraxia, or impaired speech will be present besides neuropsychiatric symptoms, reflecting the involvement of limbic regions and associative cortices. The NFT densities in the CA1 region of the hippocampus, the superior parietal cortex (Brodmann area 7), and the posterior cingulate cortex (Brodmann area 23) are linked to development of spatial and temporal disorientation. 91 NFT densities in the anterior cingulate cortex are associated with ideomotor responses and dressing apraxia, whereas constructional apraxia is linked to NFT densities in the superior parietal, posterior cingulate, and occipital cortex. 92 , 93 Acalculia and visuospatial dysfunction reflect the involvement of tau pathology in the parietal lobe. 94 Some atypical subtypes of AD are of clinical interest. For instance, postcortical atrophy presenting with visual symptomatology reflects a high NFT burden in the occipital–parietal–temporal junction and posterior cingulate cortex. 95 In frontal‐variant AD, psychomotor retardation or apathy is prominent. Overall, neuropsychiatric symptoms in tauopathy are comprehensively linked to the various associated neocortical regions, as well as subcortical nuclei. In a recent tau positron emission tomography study, the mean cortical [11C]PBB3 standardized uptake value ratio in patients with MDD was significantly higher than in age‐matched controls. 6 Thus, imaging tau accumulations may provide mechanistic insights into neuronal dysfunctions in tauopathies, underlining the importance of understanding the pathological background in SD.
Aβ deposition has been assumed to modify the clinical phenotype of AD, including psychiatric symptoms, less than NFTs pathology. 87 , 91 The fact that SPs are seen even in cognitively normal elderly persons supports this notion. 86 Whereas NFTs mainly start in the hippocampal region or even earlier in the subcortical nuclei, which are considered to be linked to the psychiatric symptoms, the progression of SPs precedes the appearance in the inferior temporal cortices. 96 There are some studies supporting the association between Aβ pathology and depression. SD is associated with decreased levels of Aβ‐42 in the cerebrospinal fluid. 97 Some early positron emission tomography studies provide support for Aβ pathology as a possible mechanism underlying the connection between SD and AD. Elevated cortical Aβ deposition in the elderly with current or lifetime major depression has been observed 98 and longitudinal cohort studies have reported positive associations between Aβ pathology and subsyndromal depressive symptoms in cognitively normal older adults. 83 , 99 However, few pathological studies support the notion. 100 Moreover, a recent pathological paper reported opposite findings, that 119 patients with SD showed lower Aβ deposition than nondepressed patients in the ADNI‐D database. 8 Thus, memory deficits and accelerated cognitive decline in SD may not be attributable to greater cortical Aβ accumulation. Overall, these apparently conflicting results concerning Aβ deposition suggest tremendous heterogeneity of depression syndromes occurring late in life. 101 Nevertheless, tau might be more important than Aβ deposition in SD.
Primary age‐related tauopathy
PART has recently been defined as a pathological continuum, ranging from localized hippocampal NFTs in elderly persons with cognitively normal or mildly impaired cognition to widespread NFTs in patients with tangle‐predominant dementia. 102 They lack significant Aβ deposits. PART has mainly been studied in autopsied brains, so its clinical aspects remain to be fully elucidated. Even though PART is assumed to be on the same continuum as AD pathology, 103 recent reports have proposed an etiology different from that of AD. Although there is a significant overlap in NFT distribution between PART and AD, there are significant genetic differences, such as a high frequency of the epsilon2 allele 104 and MAPT H1 haplotype 105 in PART.
In PART, AD‐type NFTs (3R4R), including ghost tangles, are mainly distributed in the hippocampus and to a limited extent in the medial temporal lobe, but not in neocortices (Fig. 3c). The pathology corresponds to Braak stages I to III.102 In addition to the hippocampus and cortex, NFTs are abundant in subcortical nuclei such as the locus coeruleus, amygdala, nucleus basalis of Meynert, nucleus accumbens, hypothalamus, thalamus, olfactory system, and dorsal raphe nucleus in PART. As mentioned above in connection with AD, these subcortical nuclei might modulate specific neuropsychiatric symptoms, including anxiety, sleep disturbances, and depression.
Clinically, patients with PART pathology are frequently diagnosed as having AD with mild cognitive impairments. They usually preserve cognitive functions and lack aphasia, apraxia, or agnosia, reflecting the lack of lobar degeneration. Some patients may be diagnosed as having SD or senile psychosis, since they frequently present with psychosis including delusion, depression, and agitation, 106 , 107 although delusion of persecution is also seen in AD. We previously reported abnormal tau accumulation in the subcortical nuclei, especially in the nucleus accumbens of demented patients with PART 106 (Fig. 3d). Those results suggest that abnormal tau aggregation would propagate via reward neural circuitry, which may be associated with emotion and psychiatric symptoms. Interestingly, retrospective studies of autopsied late‐onset schizophrenia or paraphrenia have revealed massive limbic tau pathology with sparse Aβ deposits, similar to PART. 108 Further studies are needed validate the PART concept and identify clinical biomarkers, as well as to disentangle the biological mechanisms in SD and to discover new biologic targets for the treatment of cognitive impairment in individuals with SD.
Argyrophric grain diseases
AGD is a sporadic 4R tauopathy presenting with NFTs and a characteristic massive occurrence of argyrophilic and tau‐positive grains in the neuropil as revealed by Gallyas‐Braak staining (Fig. 3e). The main affected regions are limbic regions including the hippocampus, entorhinal regions, and subsequently the amygdala nucleus, where mild to moderate tissue degeneration is also often observed. Usually, people at the most advanced age show such pathology as well as PART. Pathologically, grains start from the ambient gyrus and amygdala and progress anteriorly or posteriorly in medial temporal lobes. 109 Patients with AGD present with many pretangle‐like phosphorylated tau–positive inclusions in the transenorhinal cortex (Fig. 3f). They frequently show prominent neuropsychiatric features including delusion, irritability, agitation, and apathy besides amnesia, although other cognitive functions are relatively preserved. 110 Their personality change is frequently characterized by emotional disorders with aggression or ill‐temper. 111 Some patients with AGD have demonstrated depression with aggression and irritability, 110 , 111 although the frequency of the symptoms might be low. 112 Clinical features might be associated with the extensive accumulation of AGD pathology in limbic regions, 110 especially in the amygdala. However, the precise mechanisms are unknown. Notably, recent Japanese neuropathological studies found that patients with bipolar disorders or late‐onset schizophrenia presented with high frequencies of AGD pathology. 113 , 114 The relationship between AGD and SD remains to be fully established.
Lewy body disease
Clinicopathological concept of LBD
LBD is clinically defined as a chronic progressive neuropsychiatric disorder, which includes Parkinson disease (PD), PD dementia (PDD), and DLB. 115 In current PD diagnostic criteria, the motor syndrome is the core feature, as well as non‐motor manifestations such as depression, rapid eye movement sleep behavior disorder (RBD), dysautonomia, and hyposmia. 116 In the setting of well‐established PD, a minimum of 1 year with parkinsonism until onset of dementia is recommended to define PDD116. DLB is the second most common neurodegenerative dementia after AD. In the current DLB clinical diagnostic criteria, probable DLB requires two or more core features (fluctuating cognition, parkinsonism, visual hallucinations, or RBD) or one core feature plus one indicative biomarker (low striatal DAT uptake, reduced cardiac [123I]meta‐iodobenzylguanidine uptake, or rapid eye movement sleep without atonia on polysomnography). 117 Supportive clinical features of DLB include psychiatric symptoms, dysautonomia, and hyposmia. The psychiatric symptoms include depression, apathy, anxiety, hallucinations in other modalities, and systematized delusions.
Lewy bodies (LBs) and Lewy neurites in the central, peripheral, and autonomic nervous system are the histopathologic hallmark of LBD. In PD, the essential neuropathology is moderate to severe neuronal loss in the pars compacta of the substantia nigra associated with Lewy pathology, which is the neurobiological basis of the extrapyramidal motor features. 118 Brainstem‐type LBs have an eosinophilic core and a pale‐staining halo that is highly immunoreactive for α‐synuclein (Fig. 4a,c), while cortical‐type LBs have less well‐defined eosinophilic intraneuronal inclusions without a halo, and can be identified by α‐synuclein‐immunostaining (Fig. 4b,d). According to the pathological criteria of DLB, 119 LBD is pathologically classified into three subtypes: brainstem‐predominant LBD, transitional LBD, and diffuse neocortical LBD. In patients with LBD, parkinsonism is postulated to occur after a critical level of nigral neuronal loss is reached. 115 As cortical involvement of Lewy pathology is a key pathological basis in the development of dementia, transitional LBD or diffuse neocortical LBD is mandatory for inclusion in the high‐likelihood DLB category which is associated with the DLB clinical syndrome. 117 , 119 In contrast, most patients with a clinical diagnosis of PD without cognitive impairment typically have brainstem‐predominant LBD at autopsy. There is considerable pathological overlap between DLB and PDD, but the degree of cerebral β‐amyloid accumulation is significantly greater in DLB than PDD. Many clinicopathological studies have demonstrated that the degree of cerebral β‐amyloid accumulation is related to the cortical α‐synuclein burden and the timing of the onset of dementia relative to that of parkinsonism in LBD.
Depression is commonly observed even in prodromal stages of patients with LBD. In terms of neural circuity, it is unclear whether a specific pathological basis for the development of depression in patients with LBD is present or absent. Regarding the anatomical brain regions associated with depression, early clinicopathological studies in brains of patients with LBD reported inconsistent results. 112 , 120 , 121 As to monoaminergic systems, recent clinicopathological studies reveal the involvement of nigrostriatal degeneration with depression across the LBD spectrum. 122 , 123 , 124 Regarding the HPA axis, Lewy pathology is frequently identified in the hypothalamus, pituitary lobe, and adrenal gland, 125 , 126 , 127 and clinical studies found high levels of cortisol to be associated with depression in patients with PD. 128 However, there has been no clinicopathological investigation of the relationship of the neuroendocrine signaling system to depression. Regarding neuroinflammation in the brains of patients with LBD, increased numbers of microglia in several brain regions were detected immunohistochemically. 129 , 130 Some studies, however, failed to find significant microglia activation in brains of patients with DLB. 131 , 132 As changes in brain tissue may represent the end‐stage of disease, the temporal trajectories of inflammatory markers may reflect disease progression.
Incidental LBD and prodromal LBD
Lewy pathology is identified in the brains of deceased individuals with no history of parkinsonism or dementia while alive. This clinicopathological condition is termed incidental LBD, and occurs in 8% to 12% of elderly individuals aged 60 years and older as seen with routine histological methods. 118 Clinicopathological studies revealed that incidental LBD is associated with the presence of LB‐related symptoms, including RBD, depression, olfactory dysfunction, and constipation. 118 , 133 There are several neuropathological studies regarding late‐life depression in cognitively unimpaired individuals. In a community‐based study, 134 Tsopelas et al. found that late‐life depression was significantly associated with the presence of LBs in the substantia nigra and locus coeruleus in 153 nondemented individuals (mean age at death, 84.3 years). 135 Wilson et al. reported an association between brainstem aminergic nuclei and late‐life depressive symptoms in 124 nondemented community‐dwelling individuals (mean age at death, 87.7 years). 135 A higher level of depressive symptoms was associated with a higher density of LBs in the brainstem. Sweet et al. clinicopathologically followed up nine consecutive patients with late‐life major depression until autopsy, 136 and, of six patients who developed dementia, three were classified into a high‐likelihood category of DLB. One of the remaining three patients had incidental LBD. Nagao et al. pathologically compared 11 patients with depression (mean age at onset, 62.3 ± 8.8 years) to 71 normal controls, and found no difference in the prevalence of LBD between them (27.3% vs 11.3%). 114 However, when they focused on individuals aged 65 years and older, the prevalence of LBD was significantly higher in patients with late‐onset depression (60%) than in controls (10.7%).
Considering that LB‐related symptoms commonly precede the onset of LBD, the presence of LB‐related clinical features in patients with depression may help us to understand the pathophysiological process of LBD. 115 The clinical research criteria for prodromal PD/DLB have stimulated further clinical studies. 137 , 138 In the prodromal PD criteria, a diagnosis of depression is defined as a clinical nonmotor marker with a likelihood ratio of 1.8. In the prodromal DLB criteria, a psychiatric‐onset subtype is proposed as one of three prototypical forms. The most common presentation of psychiatric‐onset prodromal DLB is late‐onset depressive disorder.
Can we identify prodromal LBD in patients with late‐onset depression?
Clinical data regarding potential underlying pathophysiology of LBD in patients with late‐onset depression has been gradually accumulating. However, few studies have followed up the patients until conversion to PD/DLB. Two longitudinal follow‐up studies of older patients with idiopathic RBD who received psychiatric treatment have been reported. Wing et al. found that premorbid psychiatric disorders, especially depression, were associated with increased risk of PD after adjusting for sex, age at RBD diagnosis, and smoking status (hazard ratio, 7.0; 95% confidence interval, 1.3–38.3). 139 Postuma et al. reported that patients with RBD taking antidepressants (mean age, 64.1 years) had a lower risk of developing neurodegenerative disease than those without antidepressant use (5‐year risk = 22% vs 59%; risk ratio, 0.22 [95% confidence interval, 0.06–0.74]). 140 As for autonomic abnormality, diagnostic utility of the ventilatory response to hypercapnia for identification of prodromal DLB was reported. 141 Of 18 patients with late‐onset MDD who developed DLB during the observation period (mean age at diagnosis of MDD, 61.4 years), cardiac [123I]meta‐iodobenzylguanidine abnormality was seen in 11 patients (61.1%). Other autonomic findings were not different, but the frequency of hypersensitivity to psychotropics was significantly higher in converters compared with nonconverters. In this study, the period until conversion to DLB ranged from ≈5 to 10 years.
Recent studies have shown that a subset of patients with late‐onset depressive disorder share common clinical features with LBD. In a cross‐sectional study, 36 patients with late‐onset depressive disorder (mean age, 67.4 years) and 30 healthy controls underwent detailed assessment for clinical features of LBD. 7 Late‐onset depression was significantly associated with increased rates of both motor and nonmotor features of LBD. Of the 29 patients with late‐onset depression who underwent 123I‐ioflupane single‐photon emission computed tomography, seven with abnormal DAT binding showed significantly higher Unified Parkinson's Disease Rating Scale motor scores (mean, 4.6) than the 22 without abnormal DAT binding (mean, 2.2). There were, however, no differences in other examined clinical features between groups with and without DAT abnormality. Krüger et al. reported the association of olfaction deficit with neuroleptic‐induced parkinsonism. 142 In 79 patients with MDD, 15 with psychotic features who developed neuroleptic‐induced parkinsonism showed significantly lower olfactory scores than 44 patients with psychotic features without neuroleptic‐induced parkinsonism and 20 without psychotic features. Partial correlations controlling for age in 15 patients with neuroleptic‐induced parkinsonism showed that odor threshold and odor identification were significantly correlated with Unified Parkinson's Disease Rating Scale motor scores. A multicenter case‐control study found that the prevalence of depression and concomitant antidepressant use were significantly higher in patients with idiopathic RBD (mean age, 67.3 years) than in controls. 143 Although the link between antidepressant usage and subsequent RBD onset is a potential confounder, a clinic‐based two‐phase epidemiological study found that 8.77% of patients with MDD (mean age, 54.0 years) in the psychiatric outpatient service had video polysomnography–confirmed RBD (Wang et al. 144 ). In addition to these patients with MDD, several studies noted that middle‐aged and older patients with antidepressant‐associated RBD showed some clinical markers of underlying LBD. 116 , 133 , 139 A naturalistic follow‐up study reported that PSG‐confirmed RBD symptoms persisted despite discontinuing or switching antidepressants. 145 These findings suggest that antidepressant‐associated RBD may represent an early phase of LBD, but the temporal trajectories of the underlying LBD markers in patients with late‐onset depression remain to be established.
Although a direct biomarker of LB‐related pathology is not yet established for clinical diagnosis, detection of LB‐related pathology in tissue biopsies and surgical resections has emerged as a potential candidate. 146 Hall et al. also reported that α‐synuclein real‐time quaking‐induced conversion of cerebrospinal fluid samples is highly sensitive and specifc for identifying cases with autopsy‐confirmed LBD. 147 Considering the long‐term nature and diversity of LBD, it remains unclear whether patients with late‐onset depression who have LBD markers may fulfill the clinical criteria of PD/DLB during their lifetime. Further follow‐up studies with pathological verification are needed to determine the clinical significance of LBD markers in patients with late‐onset depression.
Treatment for Depression in the Context of Age‐Related Neuropathology
Overview of antidepressant treatment for SD
Nonpharmacological intervention is generally the treatment of choice, since elderly patients with dementia are more vulnerable to adverse effects of medications. The National Institute for Health and Care Excellence 2018 guideline recommends psychological treatments for mild to moderate SD in patients with mild to moderate dementia. 148 An earlier Cochrane review and meta‐analysis suggested that psychological treatments were effective in reducing depressive and anxiety symptoms in MCI and dementia patients. 149 A recent scoping review of 20 studies of randomized controlled trials on nonpharmacological interventions for SD and apathy with MCI or mild to moderate dementia instead found that effective interventions for depressive symptoms in single studies were mostly emotion‐oriented and/or stimulation‐oriented approaches. 150 Only a few of these studies set SD as the primary outcome of intervention. That is, dementia patients with depressive symptoms rather than syndromic SD were recruited. In addition, subtypes of dementia were often not specified. Another approach is to target modifiable factors on the premise that improvement of these factors by nonpharmacological interventions may benefit depressive symptoms as well. A systematic review identified pain, neuropsychiatric symptoms, cognitive decline, social isolation, and quality of life as five potentially modifiable factors associated with SD in community‐dwelling individuals. 151
The pharmacological intervention trials mainly recruited patients with either unspecified dementia or AD. As to antidepressants, a Cochrane review identified only four unconfounded, double‐blind, randomized trials comparing antidepressant drugs with placebo eligible for meta‐analysis, with a total of only 137 patients with SD and dementia. 152 Two of the four studies investigated tricyclic antidepressants, and the other two investigated selective serotonin reuptake inhibitors (fluoxetine and sertraline). Again, the meta‐analysis found that antidepressants were not more effective than placebo in terms of SD symptom rating scales, cognitive function or daily‐living activities, and were associated with more frequent adverse events and dropouts. Accordingly, the routine offer of antidepressants to manage mild to moderate SD in people living with mild to moderate dementia was discouraged. 148 This suggestion is supported by a recent systematic review and meta‐analysis, which found 10 interventions more effective than usual care for improving depressive symptoms in patients with dementia without the diagnosis of MDD; none of the 10 interventions involved a drug alone. However, in the real world, antidepressants are still commonly prescribed to patients with dementia. 153 One possible reason is that implementation of nonpharmacological intervention is not always feasible. The many comorbidities, mental and physical constraints, and even depressive symptoms per se may prevent patients with dementia from being engaged in physical activities. 154 There are individual trials showing that antidepressant treatment is more effective than placebo, 155 , 156 for example in the case of agomelatine, a newer antidepressant. 156 Overall, there is only limited evidence regarding pharmacotherapy for SD in patients with dementia, although it is still recommended by expert consensus and clinical guidelines. 148 , 157 , 158 , 159 Antidepressants with procognitive effects (duloxetine, tianeptine, and vortioxetine) and other dual‐action antidepressants (e.g. venlafaxine, desvenlafaxine, mirtazapine) may be preferable. 160
Cholinesterase inhibitors are standard treatment for cognitive decline in patients with AD, and are effective to ameliorate neuropsychiatric symptoms of dementia, including symptoms of SD. 161 , 162 , 163 , 164 Postmarketing surveillance of another cognitive enhancer, memantine, an NMDA receptor antagonist, showed improvement of affective symptoms in patients with moderately severe to severe AD at 20 mg/day for 6 months. 165 A double‐blind, randomized, placebo‐controlled trial in patients with late‐life SD with subjective memory complaints found a combination of memantine with escitalopram was more effective than escitalopram alone in improving cognitive measures but not depression outcomes at 12 months. 166
ECT is an invasive brain stimulation method that is highly effective for management of treatment‐resistant depression and SD. 167 , 168 Although ECT is associated with cognitive side effects such as temporary anterograde and/or retrograde amnesia, cognitive abnormalities related to ECT usually resolve within 3 days posttreatment and several cognitive domains appear to be better than baseline 15 days later. 169 However, no randomized controlled trials of ECT for treating SD in patients with dementia or MCI have been reported. Observational studies have supported the efficacy and tolerability of ECT, and cognitive side effects usually recover within 2 months. 170 , 171 , 172 , 173
Vascular depression
The response of vascular depression to antidepressant treatment is usually attenuated, and safety and tolerability further limit the use of antidepressants. 174 Since white matter hyperintensity is related to disease progression and poor prognosis, 175 , 176 management of vascular risk factors may be both preventive and therapeutic. An early double‐blind, randomized, controlled trial compared fluoxetine alone and fluoxetine augmented with nimodipine, a calcium channel blocker, in the treatment of vascular depression. Augmentation with nimodipine resulted in greater improvement of depressive symptoms, greater chance of remission, and less recurrence. 177 However, whether antihypertensive drugs, oral hypoglycemic medications, antihyperlipidemic drugs, or anticoagulant can improve acute or long‐term outcomes of vascular depression remains unclear. In addition to pharmacotherapy, brain stimulation by different neuromodulatory methods has been explored for treating vascular depression. A randomized sham‐controlled study found that repetitive transcranial magnetic stimulation delivered to the left dorsolateral prefrontal cortex was more effective than sham stimulation for patients who discontinued antidepressant therapy before brain stimulation. 178 Another double‐blind, randomized, sham‐controlled study revealed superior efficacy of add‐on of transcranial direct current stimulation to sertraline versus sertraline alone. 179
Lewy body disease
Although identification of SD as prodromal DLB is not established, trials for treatment of depression in patients with PD, potentially regarded as a predementia state of PDD, have already been performed. Specifically for SD in patients with PD, meta‐analyses supported better‐than‐placebo efficacy for cognitive‐behavioral therapy, antidepressants overall, type‐B selective monoamine oxidase inhibitors, selective serotonin reuptake inhibitors, and tricyclic antidepressants. 180 , 181 Another meta‐analysis found moderate though statistically insignificant effects of antidepressants in treating SD in patients with PD.181 Tricyclic antidepressants were more effective than selective serotonin reuptake inhibitors. 182 However, concerns regarding tolerability and unwanted anticholinergic effects make tricyclics less favorable choices, especially for patients with cardiac problems, angle‐closure glaucoma, urinary retention, and constipation. Serotonergic antidepressants may worsen motor symptoms through inhibition of dopaminergic neurons in the substantia nigra, and sertraline may be preferable in this regard. 157 , 183 Consensus guidelines also support the use of dual‐acting antidepressants such as serotonin‐norepinephrine reuptake inhibitors, vortioxetine, bupropion, and mirtazapine. 157 Among anti‐Parkinsonian medications, some evidence supports the use of pramipexole, a potent dopamine D2 agonist, in treating SD in patients with PD. 184 , 185 , 186
ECT seems to be an important therapeutic modality for SD in patients with Lewy body dementia, since there have been few randomized controlled trials examining the efficacy and safety of antidepressants. 187 A systematic review summarized several case reports or case series studies of ECT for SD treatment in patients with Lewy body dementia. 188 ECT was effective in five studies with a total sample size of <30, but it was unclear whether the improvements could be sustained. Considering the changes of dopaminergic transmission seen by neuroimaging in patients with MDD responding to ECT, progressive nigrostriatal neurodegeneration may affect the clinical course, such as the recurrence of depression in LBD. 189 A recent case series showed ultrabrief right unilateral ECT to be effective and well‐tolerated for the treatment of agitation and depressive symptoms in seven patients with Lewy body dementia. 190 Right unilateral ECT was used because it causes fewer cognitive side effects than traditional bitemporal ECT and is equally effective.
Conclusions and Future Directions
This review focuses on the current understanding of the pathophysiology of SD and its neuropathological features on the basis of established pathological diagnoses. Depression commonly occurs in patients with neurodegenerative disorders, despite different underlying pathological diagnoses. In late‐onset depression, tau and synuclein might be the most influential accumulated proteins. The pathophysiology of SD also involves cerebrovascular pathology, neuroinflammation and neurodegeneration, and depressive symptoms or senile psychiatric manifestations have been associated with vulnerability of specific brain regions, including limbic regions and the subcortical nuclei, rather than the nature of accumulated proteins. Shared pathophysiological mechanisms are considered to be involved in depression and neurodegenerative disorders. Disease‐modifying therapy targeting neurodegeneration‐linked proteins and inflammatory processes might improve the quality of life of depressive patients and their caregivers. In considering appropriate therapy for the elderly, comorbidity of depression and dementia, as well as the underlying distinct neuropathological features, should be taken into account. Pharmacological approaches based on the common affected neuronal circuits are a promising avenue for research, although SD is multifaceted, and psychogenic, environmental and physical factors must be considered. In terms of preventing the development of dementia, it remains important to seek alternatives to conventional antidepressant therapies, such as anti‐inflammatory therapy, based on common pathophysiological processes between SD and dementia.
Author contributions
Conception, design of the study, and first draft of the manuscript: I.K., J.I., S.T., Y.T.L., and H.F.; first draft of the figures: I.K., J.I., and H.F.; critical review and edits: I.K. and H.F.
Disclosure statement
The authors declare that they have no conflicts of interest.
Ethics Approval
This study was performed in accordance with the ethical standards outlined in the 1964 Declaration of Helsinki and its later amendments.
Acknowledgments
This research was supported by The Naito Foundation (to I.K.), JSPS KAKENHI grant number 20K16660 (to I.K.) and 22K07597 (to J.I.), and the Japan Agency for Medical Research and Development JP22dk0207053 (to J.I.)
Contributor Information
Ito Kawakami, Email: i.kawakami.vn@juntendo.ac.jp.
Hiroshige Fujishiro, Email: fujishiro17@hotmail.co.jp.
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