Geriatric depression and its relation with cognitive impairment and dementia

Differential neuropsychiatric associations of plasma biomarkers in older adults with major depression and subjective cognitive decline

Older adults with major depressive disorder (MDD) or early cognitive decline during the subjective cognitive decline (SCD) stage may exhibit neuropsychiatric symptoms such as anxiety, depression, and subtle cognitive impairment. The clinicopathological features and biological mechanisms of MDD differ from those of SCD among older adults; these conditions thus require different treatment strategies. This study enrolled 82 participants above 50 years old with normal cognitive levels from the communities to examine biomarker-behavior correlations between MDD (n = 23) and SCD (n = 23) relative to a normal control (NC) group (n = 36). Multidomain assessments were performed for all participants, including immunomagnetic reduction tests to detect plasma beta-amyloid (Aβ), total tau (Tau), phosphorylated tau-181 (p-Tau181), neurofilament light chain, and glial fibrillary acidic protein (GFAP). This study observed that depressive symptoms in MDD were associated with amyloid pathology (plasma Aβ40 vs. HADS-D: R = 0.45, p = 0.031; Aβ42/Aβ40 vs. HADS-D: R = -0.47, p = 0.024), which was not observed in the NC (group difference p < 0.05). Moreover, cognitive decline in MDD was distinguished by a mixed neurodegenerative process involving amyloid (plasma Aβ42 vs. facial memory test: R = 0.48, p = 0.025), tau (Tau/Aβ42 vs. digit symbol substitution test (DSST): R = -0.53, p = 0.01), and astrocytic injury (plasma GFAP vs. Montreal cognitive assessment score: R = -0.44, p = 0.038; plasma GFAP vs. DSST: R = -0.52, p = 0.014), findings that did not apply to the NC (group difference p < 0.05). Moreover, this study revealed different biomarker-behavior correlations between individuals with SCD and the NC. Compared with the NC, cognitive decline in the SCD group might be unrelated to amyloid pathology and instead might be early manifestations of tau pathology. This study underscores the difference in clinicopathological features between MDD and SCD among older adults, which differ from those of the NC. These findings enhance our understanding of the mechanisms underlying MDD and SCD in older individuals.

The sociodemographic characteristics and clinical features of the late-life depression patients: results from the Beijing Anding Hospital mental health big data platform

BACKGROUND

The sociodemographic characteristics and clinical features of the Late-life depression (LLD) patients in psychiatric hospitals have not been thoroughly studied in China. This study aimed to explore the psychiatric outpatient attendance of LLD patients at a psychiatric hospital in China, with a subgroup analysis, such as with or without anxiety, gender differences.

METHODS

This retrospective study examined outpatients with LLD from January 2013 to August 2019 using data in the Observational Medical Outcomes Partnership Common Data Model (OMOP-CDM) in Beijing Anding Hospital. Age, sex, number of visits, use of drugs and comorbid conditions were extracted from medical records.

RESULTS

In a sample of 47,334 unipolar depression patients, 31,854 (67.30%) were women, and 15,480 (32.70%) were men. The main comorbidities of LDD are generalized anxiety disorder (GAD) (83.62%) and insomnia (74.52%).Among patients with unipolar depression, of which benzodiazepines accounted for the largest proportion (77.77%), Selective serotonin reuptake inhibitors (SSRIs) accounted for 59.00%, a noradrenergic and specific serotonergic antidepressant (NaSSAs) accounted for 36.20%. The average cost of each visit was approximately 646.27 yuan, and the cost of each visit was primarily attributed to Western medicine (22.97%) and Chinese herbal medicine (19.38%). For the cost of outpatient visits, depression comorbid anxiety group had a higher average cost than the non-anxiety group (p < 0.05). There are gender differences in outpatient costs, men spend more than women, for western medicine, men spend more than women, for Chinese herbal medicine, women spend more than men (all p < 0.05). The utilization rate of SSRIs and benzodiazepines in female patients is significantly higher than that in male patients (p < 0.05).

CONCLUSION

LLD patients are more commonly women than men and more commonly used SSRIs and NaSSAs. Elderly patients with depression often have comorbid generalized anxiety. LLD patients spend most of their visits on medicines, and while the examination costs are lower.

Late-Life Depression, Cognitive Impairment, and Relationship with Alzheimer's Disease

This narrative review aimed to explore the existing knowledge in order to examine the multiple forms of late-life depression (LLD) within a non-neurodegenerative or a neurodegenerative context, in particular Alzheimer's disease (AD). This review will first provide information about different pathogenic hypotheses proposed to describe LLD when it is not linked to a neurodegenerative context. Within the presentation of these syndromes, the literature reports thymic and cognitive specific features and highlights a common preponderance of cognitive impairment, and particularly executive. This review will also report data from research works that have addressed the role of depressive symptoms (DSs) in incidence of AD and mild cognitive impairment (MCI) conversion to AD. These findings support the claim that the relationship between DS (or LLD) and the cognitive decline encountered in AD can be of 2 types: (1) risk factor or (2) prodrome. They also support the hypothesis that the effect of DS on the incidence of AD can be identified between specific characteristics of these symptoms such as a very first apparition late in life, an increasing severity of DS, and a poor response to medical treatment. Finally, longitudinal and cross-sectional research will be presented, aiming to identify the predictive value of DS (or LLD) on AD incidence and/or conversion of MCI (and specifically amnestic MCI). This final section shows that specific features of LLD, such as being of early- or late-onset, can be considered as indices of AD incidence.

Brain controllability distinctiveness between depression and cognitive impairment

Alzheimer's disease (AD) is a progressive form of dementia marked by cognitive and memory deficits, estimated to affect ∼5.7 million Americans and account for ∼$277 billion in medical costs in 2018. Depression is one of the most common neuropsychiatric disorders that accompanies AD, appearing in up to 50% of patients. AD and Depression commonly occur together with overlapped symptoms (depressed mood, anxiety, apathy, and cognitive deficits.) and pose diagnostic challenges early in the clinical presentation. Understanding their relationship is critical for advancing treatment strategies, but the interaction remains poorly studied and thus often leads to a rapid decline in functioning. Modern systems and control theory offer a wealth of novel methods and concepts to assess the important property of a complex control system, such as the brain. In particular, the brain controllability analysis captures the ability to guide the brain behavior from an initial state (healthy or diseased) to a desired state in finite time, with suitable choice of inputs such as external or internal stimuli. The controllability property of the brain's dynamic processes will advance our understanding of the emergence and progression of brain diseases and thus helpful in the early diagnosis and novel treatment approaches. This study aims to assess the brain controllability differences between mild cognitive impairment (MCI), as prodromal AD, and Depression. This study used diffusion tensor imaging (DTI) data from 60 subjects from the Alzheimer's Disease Neuroimaging Initiative (ADNI): 15 cognitively normal subjects and 45 patients with MCI, including 15 early MCI (EMCI) patients without depression, 15 EMCI patients with mild depression (EMCID), and 15 late MCI (LMCI) patients without depression. The structural brain network was firstly constructed and the brain controllability was characterized for each participant. The controllability of default mode network (DMN) and its sub-regions were then compared across groups in a structural basis. Results indicated that the brain average controllability of DMN in EMCI, LMCI, and EMCID were significantly decreased compared to healthy subjects (P < 0.05). The EMCI and LMCI groups also showed significantly greater average controllability of DMN versus the EMCID group. Furthermore, compared to healthy subjects, the regional controllability of the left/right superior prefrontal cortex and the left/right cingulate gyrus in the EMCID group showed a significant decrease (P < 0.01). Among these regions, the left superior prefrontal region's controllability was significantly decreased (P < 0.05) in the EMCID group compared with EMCI and LMCI groups. Our results provide a new perspective in understanding depressive symptoms in MCI patients and provide potential biomarkers for diagnosing depression from MCI and AD.

Geriatric Depression and Cognitive Impairment-An Update

BACKGROUND

Depression and cognitive impairment often coexist in older adults. The relation between depression and cognitive impairment is complex. The objective of this article is to review recent literature on cognitive impairment in older adults with depression and provide clinicians an update.

METHODS

We searched PubMed, Google Scholar, Science Direct, and Psych Info for the articles published in the English language related to late-life depression (LLD)/geriatric depression and cognitive impairment. We considered original research articles, relevant systematic reviews, chapters, and important conceptual articles published in the last 9 years (2011-2019). We selected relevant articles for this narrative review.

CONCLUSION

The concept pseudodementia, indicating depression with cognitive impairment mimicking dementia, is now seen only as a historical concept. The current literature strongly agrees with fact that cognitive deficits often exist in LLD. The cognitive deficits in depression were initially seen as trait marker; however, some recent studies suggest that cognitive deficits persist even in the remission phase. There is heterogeneity among the studies in terms of the nature of the cognitive deficits, but higher number of studies reported impairment in attention and executive function. LLD with cognitive deficits is at a higher risk of progression to dementia. In older adults, depression with cognitive impairments requires a comprehensive evaluation. Electroencephalography, event-related potentials, fluorodeoxyglucose-positron emission tomography, amyloid positron emission tomography, and CSF amyloid will supplement clinical evaluation in differentiating functional depressive disorder with cognitive impairment from depression with an underlying degenerative condition.

Cognitive performance of older adults with a low level of education with and without depression

Major depression can develop in individuals aged 60 years or older and is commonly associated with cognitive decline in this population, especially the domains of working memory, attention, executive functions, and processing speed. Schooling is a protective factor with regard to cognitive decline.

OBJECTIVE

To compare the cognitive performance of community-dwelling older adults with a low level of schooling with and without major depression.

METHODS

A descriptive, analytical, cross-sectional study was conducted with 22 community-dwelling older adults with depression and 187 without depression. The following assessment tools were employed: Mini Mental Health Examination, Brief Cognitive Screening Battery, Consortium to Establish a Registry for Alzheimer's Disease (CERAD), Digit Span Test (forward and backward), and an object similarity test.

RESULTS

No statistically significant differences were found between the groups with and without depression on any of the tests.

CONCLUSIONS

This study demonstrated that there are no differences in the cognitive performance of older people with and without depression on neurocognitive tests commonly used in clinical practice. Future studies with different designs and methods as well as specific tests for older people with a low level of schooling could assist in the understanding of these relations and the mechanisms involved.

Study of neuropsychological deficits in late onset depression

BACKGROUND

Older adults with depression often have cognitive deficits contributing to higher morbidity and increased risk for conversion to dementia. Research on this area is limited from India.

OBJECTIVE

The objective of the current study is to examine the neuropsychological measures in older adults with Late-onset depression (LOD) compared to healthy controls (HC).

METHOD

Sample included older adults with depression as per DSM-IV TR criteria seeking treatment from Geriatric Clinic and Services, National Institute of Mental Health and Neurosciences (NIMHANS). Geriatric depression scale, Montgomery Asberg depression rating scale and Hamilton anxiety rating scale were applied to screen and measure the severity of depression. Comprehensive assessment of neurocognitive function was done using NIMAHNS Neuropsychological Battery for Elderly (NNBE, 2013).

RESULTS

Sample included 76 LOD patients and 76 healthy controls (HC) who were matched for age, gender and education. The mean age of onset of illness was 63.17(SD-6.54) years and median duration of total illness was 29.5 months. In the standard assessments, the mean score on GDS was 9.28 (SD-3.32) and MADRS was 18.88 (SD-6.07). The LOD group had lower Hindi Mental Status Examination (HMSE) score compared to HC (28.64 ± 2.09 vs 30.05 ± 1.26, p < 0.001). Compared to HC, LOD group performed poorly on tasks of attention, executive function, verbal and visual memory, verbal fluency and visuo-spatial skills. Recognition memory and logical memory were relatively preserved in LOD compared to HC.

DISCUSSION AND CONCLUSION

Cognitive deficits were seen predominantly in attention and executive function, visuo-spatial skills and memory similar to previous studies. It is advisable to routinely assess cognitive symptoms in older adults presenting with depression.

Barriers to the Recognition of Geriatric Depression in Residential Care Facilities in Alberta

This study explored the barriers that regulated nurse professionals encountered in recognizing and assessing geriatric depression in residential care facilities in the Canadian province of Alberta. The study used a convergent parallel mixed methods design, including a cross-sectional survey (N = 635) and qualitative interviews (N = 14) with regulated nurse professionals. Findings revealed six major barriers to the recognition of geriatric depression in Alberta, including 1) insufficient clinical knowledge and training in geriatric depression; 2) misconceived beliefs about geriatric depression; 3) limited access to resources; 4) unclear depression assessment protocol and procedures in facilities; 5) characteristics of models of care and organizational culture in facilities; and 6) communication difficulties among all stakeholders in the process. Socio-cultural values and beliefs about geriatric depression played a key role in the complex interaction of the various structural and agential barriers to the effective recognition and assessment of depression in residential care facilities in Alberta.

How Do Regulated Nurse Professionals in Alberta Assess Geriatric Depression in Residential Care Facilities?

Although geriatric depression is a prevalent, serious, and under-recognized mental health condition in residential care facilities, there is a dearth of related research in Canada. This exploratory mixed methods study examines the perspectives and practices of regulated nurse professionals on assessment of geriatric depression in residential care facilities in Alberta. Findings from the quantitative surveys (n = 635) and qualitative interviews (n = 14) suggest that geriatric depression is not systematically assessed in these care settings due to multiple challenges, including confusing assessment protocol, inconsistent use and contested clinical utility of current assessment methods in facilities, limited availability of mental health professionals in facilities, and the varied views of regulated nurse professionals on who is responsible for depression assessment in facilities. Implications and future research directions are discussed.

Depression symptoms and cognitive impairment in older nursing home residents in the USA: A latent class analysis

OBJECTIVES

To identify subgroups of nursing home (NH) residents in the USA experiencing homogenous depression symptoms and evaluate if subgroups vary by cognitive impairment.

METHODS

We identified 104 465 newly admitted, long-stay residents with depression diagnosis at NH admission in 2014 using the Minimum Data Set 3.0. The Patient Health Questionnaire-9 was used to measure depression symptoms and the Brief Interview of Mental Status for cognitive impairment (intact; moderately impaired; severely impaired). Latent class analysis (LCA) with logistic regression was used to: (a) construct the depression subgroups and (b) estimate adjusted odds ratios (aOR) and 95% confidence intervals (CI) of the associations between the subgroups and cognitive impairment level, adjusting for demographic and clinical characteristics.

RESULTS

The best-fitted LCA model suggested four subgroups of depression: minimal symptoms (latent class prevalence: 42.4%), fatigue (32.0%), depressed mood (14.5%), and multiple symptoms (11.2%). Odds of subgroup membership varied by cognitive impairment. Compared to residents with intact cognition, those with moderate or severe cognitive impairment were less likely to belong to the fatigue subgroup [aOR(95% CI): moderate: 0.75 (0.71-0.80); severe: 0.26 (0.23-0.29)] and more likely to belong to the depressed mood subgroup [aOR (95% CI): moderate: 4.54 (3.55-5.81); severe: 6.41 (4.86-8.44)]. Residents with moderate cognitive impairment had increased odds [aOR (95% CI): 1.19 (1.12-1.27)] while those with severe impairment had reduced odds of being in the multiple symptoms subgroup [aOR (95% CI): 0.63 (0.58-0.68)].

CONCLUSIONS

Findings provide a basis for improving depression management with consideration of both subgroups of depression symptoms and levels of cognitive function.

Psychometric properties of the MATRICS Consensus Cognitive Battery (MCCB) in Chinese patients with major depressive disorder

BACKGROUND

Major depression disorder (MDD) is often associated with cognitive impairment. The development of an accurate and effective battery to measure cognitive deficit is necessary for both research and clinical practice in MDD. Our study was designed to test the psychometric properties of the MATRICS Consensus Cognitive Battery (MCCB) in patients with MDD.

METHOD

Forty-eight patients with MDD, forty-three euthymic patients with bipolar disorder (BD) and thirty-two remitted patients with schizophrenia (SCH) were recruited from Tianjin Anding Hospital in Tianjin, China. The MCCB, the Montreal Cognitive Assessment (MoCA) and the Hamilton Depression Rating Scale-17 (HDRS-17) were administered to assess cognitive impairment and depressive symptoms at both baseline and one month later.

RESULT

Our findings showed that the MCCB had good internal consistency and acceptable reliability in Chinese MDD patients. Our findings revealed a high correlation between the MCCB and the MoCA, indicating good concurrent validity of the MCCB. Furthermore, the MCCB showed high discriminant ability between MDD patients and healthy controls, and a principal component analysis of the MCCB in MDD patients revealed four domains with acceptable internal structure.

LIMITATIONS

We did not consider confounding factors, such as the course, severity of symptoms and medication treatments, which might bias the cognitive assessment. In addition, the use of the MoCA as a reference scale for mild cognitive impairment could weaken the concurrent validity of the MCCB in MDD patients.

CONCLUSION

Our findings demonstrated that the MCCB may be clinically useful as a cognitive impairment rating battery in Chinese patients with MDD.

Depression, Anxiety, and Apathy in Mild Cognitive Impairment: Current Perspectives

Objective: Mild cognitive impairment (MCI) is an important risk state for dementia, particularly Alzheimer's disease (AD). Depression, anxiety, and apathy are commonly observed neuropsychiatric features in MCI, which have been linked to cognitive and functional decline in daily activities, as well as disease progression. Accordingly, the study's objective is to review the prevalence, neuropsychological characteristics, and conversion rates to dementia between MCI patients with and without depression, anxiety, and apathy. Methods: A PubMed search and critical review were performed relating to studies of MCI, depression, anxiety, and apathy. Results: MCI patients have a high prevalence of depression/anxiety/apathy; furthermore, patients with MCI and concomitant depression/anxiety/apathy have more pronounced cognitive deficits and progress more often to dementia than MCI patients without depression/anxiety/apathy. Conclusions and Implications: Depression, anxiety, and apathy are common in MCI and represent possible risk factors for cognitive decline and progression to dementia. Further studies are needed to better understand the role and neurobiology of depression, anxiety, and apathy in MCI.

Danggui-Shaoyao-San for dementia: A PRISMA-compliant systematic review and meta-analysis

BACKGROUND

Although memory loss and other symptoms of dementia pose tremendous burdens on patients and societies, there is currently no cure for dementia.

METHODS

We conducted a systematic review and meta-analysis of the anti-dementia effects of Danggui-Shaoyao-San (DSS), which is derived from natural resources. We searched for randomized controlled trials (RCTs) from inception to June 2019. We searched PubMed, Embase, Korean databases (Research Information Service System and Oriental Medicine Advanced Searching Integrated System), Chinese databases (China Knowledge Resource Integrated Database and Wanfang Database), and Japanese databases (CiNii and J-STAGE). Studies were included if they were a RCT, investigated the efficacy of DSS or its modified form, and included participants with dementia. Use of DSS with other treatment (eg, acupuncture, anti-dementia drugs, etc) was included. Items of each trial were evaluated by 2 independent reviewers. Data were pooled by using random-effect models.

RESULTS

A total of 482 studies were identified, and 5 eligible studies for Alzheimer disease (AD) and 4 studies for vascular dementia (VD) were included in the final analysis, representing a total of 567 participants. As for AD, pooled results of the Mini-Mental State Examination (MMSE) (mean differences [MD] 4.60; 95% confidence interval [CI] 4.29, 4.91) and activities of daily living (MD 11.40; 95% CI 10.94, 11.86) favored DSS. DSS had synergistic effect with acupuncture over acupuncture alone in MMSE (MD 1.69; 95% CI 1.05, 2.34), Hasegawa Dementia Scale (MD.62; 95% CI -0.20, 1.44), and activities of daily living (MD 2.38; 95% CI 1.92, 2.85). In VD, pooled results showed a significant difference in the score of dementia scales such as MMSE and Hasegawa Dementia Scale compared with nootropic drugs. DSS significantly reduced symptoms (odds ratio 5.02, 95%, CI 2.76-9.11) in patients with VD. The respective size of each RCTs was small and some included studies were of low quality due to their limited description on methodological issues.

CONCLUSION

These estimates suggest that DSS provides clinically important reductions in symptoms of AD and VD and can be a promising anti-dementia drug candidate.

Investigating the relationship between age of onset of depressive disorder and cognitive function

OBJECTIVES

Depressive disorder is commonly associated with impaired cognitive function; however, it is unclear whether the age of onset of the first episode of depression, current depression severity, or historical severity of depressive episodes are associated with cognitive performance.

METHODS

This study examined baseline cross-sectional data from the ongoing online PROTECT study. A total of 7344 participants, 50 years or older, with a history of depression and no diagnosis of dementia were divided into three groups according to age of onset of their first depressive episode: early-onset, midlife-onset, and late-onset. Performance on measures of visuospatial episodic memory, executive function, verbal working, and visual working memory were evaluated. Demographic and clinical characteristics such as age, education, and severity of symptoms during their worst previous depressive episode and current depression severity were included in multivariate regression models.

RESULTS

The late-onset depression group scored significantly lower on the verbal reasoning task than the early-onset group while there were no significant differences found on the other tasks. Midlife-onset depression participants performed better in the visual episodic memory task, but worse on the verbal reasoning task, than early-onset depression participants. Current depression severity was negatively correlated with all four cognitive domains, while historical severity score was found to be significantly associated with cognitive performance on the verbal reasoning and spatial working memory tasks.

CONCLUSIONS

The most important indicator of cognitive performance in depression appears to be current, rather than historic depression severity; however, late-onset depression may be associated with more executive impairment than an early-onset depression.

Screening Younger Individuals in a Primary Care Setting Flags Putative Dementia Cases and Correlates Gastrointestinal Diseases with Poor Cognitive Performance

BACKGROUND/AIMS

Diagnosing dementia is challenging in many primary care settings, given the limited human resources and the lack of current diagnostic tools. With this in mind, a primary care-based cohort was established in the Aveiro district of Portugal.

METHODS

A total of 568 participants were evaluated using cognitive tests and APOE genotyping.

RESULTS

The findings revealed a dementia prevalence of 12%. A strong correlation between increasing Clinical Dementia Rating (CDR) scores and education was clearly evident. Other highly relevant risk factors were activities of daily living (ADL), instrumental ADL, aging, depression, gender, the APOE ε4 allele, and comorbidities (depression as well as gastrointestinal, osteoarticular, and neurodegenerative diseases). A hitherto unreported, significant correlation between gastrointestinal disease and high CDR score was clearly observable.

CONCLUSIONS

This study shows the merit of carrying out a dementia screening on younger subjects. Significantly, 71 subjects in the age group of 50-65 years were flagged for follow-up studies; furthermore, these cases with a potentially early onset of dementia were identified in a primary care setting.

Factors associated with frailty in a community-dwelling population of older adults

OBJECTIVE

To analyze if demographic and socioeconomic factors and factors related to health and health services are associated with frailty in community-dwelling older adults.

METHODS

This is a cross-sectional study with 339 older adults (60 years old or more) living in Juiz de Fora, State of Minas Gerais, Brazil, in 2015. A household survey was carried out and frailty was evaluated using the Edmonton Frail Scale. For the analysis of the factors associated with outcome, a theoretical model of determination was constructed with three hierarchical blocks: block 1 with demographic and socioeconomic characteristics, block 2 with the health of the older adult (divided into three sub-levels: 2.1 self-reported health variables, 2.2 self-perceived health variables, and 2.3 geriatric syndromes), and block 3 with characteristics related to health services. The variables were adjusted in relation to each other within each block; those with significance level ≤ 0.20 were included in the Poisson regression model and adjusted to a higher level, considering a level of significance of 5%.

RESULTS

The prevalence of frailty among older adults was 35.7% (95%CI 30.7–40.9). Of the total, 42.2% did not present frailty; 22.1% were apparently vulnerable. Among the frail ones, 52.9% presented mild frailty, 32.2% moderate frailty, and 14.9% severe frailty. Frailty was associated with difficulty walking, need for an auxiliary device to walk, presence of caregiver, depressive disorders, and functional dependence to perform instrumental activities of daily living.

CONCLUSIONS

Frailty is frequent among the older population and it is associated with health variables of the three sub-levels that make up block 2 of the theoretical hierarchical model of determination: self-reported health variables, self-perceived health variables, and geriatric syndromes.

Disrupted Interhemispheric Synchrony in Default Mode Network Underlying the Impairment of Cognitive Flexibility in Late-Onset Depression

The intuitive association between cognitive impairment and aberrant functional activity in the brain network has prompted interest in exploring the role of functional connectivity in late-onset depression (LOD). The relationship of altered voxel-mirrored homotopic connectivity (VMHC) and cognitive dysfunction in LOD is not yet well understood. This study was designed to examine the implicit relationship between the disruption of interhemispheric functional coordination and cognitive impairment in LOD. LOD patients (N = 31) and matched healthy controls (HCs; N = 37) underwent neuropsychological tests and functional magnetic resonance imaging (fMRI) in this study. The intergroup difference of interhemispheric coordination was determined by calculating VMHC value in the whole brain. The neuro-behavioral relevancy approach was applied to explore the association between disrupted VMHC and cognitive measures. Receiver operating characteristic (ROC) curve analysis was used to determine the capability of disrupted regional VMHC to distinguish LOD. Compared to the HC group, significantly attenuated VMHC in the superior frontal gyrus (SFG), superior temporal gyrus (STG), posterior cerebellar lobe (CePL) and post- and precentral gyri were observed in the bilateral brain of LOD patients. The interhemispheric asynchrony in bilateral CePLs was positively correlated with the performance of trail making test B (TMT-B) in LOD patients (r = 0.367, P = 0.040). ROC analysis revealed that regions with abnormal VMHC could efficiently distinguish LOD from HCs (Area Under Curve [AUC] = 0.90, P < 0.001). Altered linkage patterns of intrinsic homotopic connectivity and impaired cognitive flexibility was first investigated in LOD, and it would provide a novel clue for revealing the neural substrates underlying cognitive impairment in LOD.