Prediction of Alzheimer's Pathological Changes in Subjective Cognitive Decline Using the Self-report Questionnaire and Neuroimaging Biomarkers

Background: Although not strongly correlated with current objective cognitive ability, subjective cognitive decline (SCD) is a risk factor for Alzheimer’s disease. Most studies focus on SCD in relation to future decline rather than objective prior decline that it purportedly measures. Objective: We evaluated whether self-report of cognitive decline—as a continuous measure—corresponds to objectively-assessed episodic memory and executive function decline across the same period. Methods: 1,170 men completed the Everyday Cognition Questionnaire (ECog) at mean age 68 assessing subjective changes in cognitive ability relative to 10 years prior. A subset had mild cognitive impairment (MCI), but MCI was diagnosed without regard to subjective decline. Participants completed up to 3 objective assessments of memory and executive function (M = 56, 62, and 68 years). Informant-reported ECogs were completed for 1,045 individuals. Analyses controlled for depression and anxiety symptoms assessed at mean age 68. Results: Participant-reported ECog scores were modestly associated with objective decline for memory (β= –0.23, 95%CI [–0.37, –0.10]) and executive function (β= –0.19, 95%CI [–0.33, –0.05]) over the same time period. However, these associations were nonsignificant after excluding MCI cases. Results were similar for informant ratings. Participant-rated ECog scores were more strongly associated with concurrent depression and anxiety symptoms, (β= 0.44, 95%CI [0.36, 0.53]). Conclusion: Continuous SCD scores are correlated with prior objective cognitive changes in non-demented individuals, though this association appears driven by individuals with current MCI. However, participants’ current depression and anxiety ratings tend to be strongly associated with their SCD ratings. Thus, what primarily drives SCD ratings remains unclear.

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P2-338: ALZHEIMER'S PATHOLOGIC CHANGES IN SUBJECTIVE COGNITIVE DECLINE USING SELF-REPORT QUESTIONNAIRE AND IMAGING BIOMARKERS

Alzheimer s & Dementia ◽

10.1016/j.jalz.2019.06.2745 ◽

2019 ◽

Vol 15 ◽

pp. P722-P722

Author(s):

Yun Jeong Hong ◽

Jeong Wook Park ◽

Seong Hoon Kim ◽

Hae Eun Shin ◽

Si Baek Lee ◽

...

Keyword(s):

Cognitive Decline ◽

Self Report ◽

Imaging Biomarkers ◽

Subjective Cognitive Decline

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Recurrent and Concurrent Patterns of Regional BOLD Dynamics and Functional Connectivity Dynamics in Cognitive Decline

10.21203/rs.3.rs-52184/v2 ◽

2020 ◽

Author(s):

Lingyan Liang ◽

Yueming Yuan ◽

Yichen Wei ◽

Bihan Yu ◽

Wei Mai ◽

...

Keyword(s):

Functional Connectivity ◽

Cognitive Decline ◽

Low Frequency ◽

Occurrence Frequency ◽

Subjective Cognitive Decline ◽

Imaging Data ◽

Dynamic Features ◽

Spontaneous Neural Activity ◽

Neuroimaging Biomarkers ◽

Brain States

Abstract Background : The brain’s dynamic spontaneous neural activity and dynamic functional connectivity (dFC) are both important in supporting cognition, but how these two types of brain dynamics evolve and co-evolve in subjective cognitive decline (SCD) and mild cognitive impairment (MCI) remain unclear. The aim of the present study was to investigate recurrent and concurrent patterns of two types of dynamic brain states correlated with cognitive decline.Methods : The present study analyzed resting-state functional magnetic resonance imaging data from 62 SCD patients, 75 MCI patients, and 70 healthy controls (HCs). We used the sliding-window and clustering method to identify two types of recurrent brain states from both dFC and dynamic regional spontaneous activity, as measured by dynamic fractional amplitude of low-frequency fluctuations (dfALFF). Then, the occurrence frequency of a dFC or dfALFF state and the co-occurrence frequency of a pair of dFC and dfALFF states among all time points are extracted for each participant to describe their dynamics brain patterns.Results : We identified a few recurrent states of dfALFF and dFC, and further ascertained the co-occurrent patterns of these two types of dynamic brain states (i.e., dfALFF and dFC states). Importantly, the occurrence frequency of a default-mode network (DMN)-dominated dFC state was significantly different between HCs and SCD patients, and the co-occurrence frequencies of a DMN-dominated dFC state and a DMN-dominated dfALFF state were also significantly different between SCD and MCI patients. These two dynamic features were both significantly positively correlated with Mini Mental State Examination scores.Conclusion : Our findings revealed novel fMRI-based neural signatures of cognitive decline from recurrent and concurrent patterns of dfALFF and dFC, providing strong evidence supporting SCD as the transition phase between normal aging and MCI. This finding holds potential to differentiate SCD patients from HCs via both dFC and dfALFF as objective neuroimaging biomarkers, which may aid in the early diagnosis and intervention of Alzheimer’s disease.

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Longitudinal change in hippocampal and dorsal anterior insulae functional connectivity in subjective cognitive decline

Alzheimer s Research & Therapy ◽

10.1186/s13195-021-00847-y ◽

2021 ◽

Vol 13 (1) ◽

Author(s):

Raymond P. Viviano ◽

Jessica S. Damoiseaux

Keyword(s):

Functional Connectivity ◽

Cognitive Decline ◽

Default Mode Network ◽

Growth Models ◽

Self Report ◽

Longitudinal Change ◽

Subjective Cognitive Decline ◽

Cross Sectional ◽

Default Mode ◽

Subsequent Decrease

Abstract Background Subjective cognitive decline, perceived worsening of cognitive ability without apparent performance issues on clinical assessment, may be an important precursor to dementia. While previous cross-sectional research has demonstrated aberrant brain functional connectivity in subjective cognitive decline, longitudinal evaluation remains limited. Methods Here, we examined trajectories of functional connectivity over three measurement occasions ~18 months apart, using voxelwise latent growth models in cognitively unimpaired older adults with varying self-report of subjective cognitive decline (N = 69). Results We found that individuals who reported a greater degree of subjective cognitive decline showed a larger subsequent decrease in connectivity between components of the default mode network and increase in connectivity between salience and default mode network components. The change in functional connectivity was observed in the absence of change in cognitive performance. Conclusion The results indicate that functional brain changes may underly the experience of cognitive decline before deterioration reaches a level detected by formal cognitive assessment.

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Subjective Cognitive Decline in Older Adults: An Overview of Self-Report Measures Used Across 19 International Research Studies

Journal of Alzheimer s Disease ◽

10.3233/jad-150154 ◽

2015 ◽

Vol 48 (s1) ◽

pp. S63-S86 ◽

Cited By ~ 163

Author(s):

Laura A. Rabin ◽

Colette M. Smart ◽

Paul K. Crane ◽

Rebecca E. Amariglio ◽

Lorin M. Berman ◽

...

Keyword(s):

Older Adults ◽

Cognitive Decline ◽

International Research ◽

Self Report ◽

Subjective Cognitive Decline ◽

Research Studies

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Recurrent and Concurrent Patterns of Regional BOLD Dynamics and Functional Connectivity Dynamics in Cognitive Decline

10.21203/rs.3.rs-52184/v1 ◽

2020 ◽

Author(s):

Lingyan Liang ◽

Yueming Yuan ◽

Yichen Wei ◽

Bihan Yu ◽

Wei Mai ◽

...

Keyword(s):

Functional Connectivity ◽

Cognitive Decline ◽

Low Frequency ◽

Resting State Fmri ◽

Occurrence Frequency ◽

Subjective Cognitive Decline ◽

Dynamic Features ◽

Spontaneous Neural Activity ◽

Neuroimaging Biomarkers ◽

Brain States

Abstract Background: The brain’s dynamic spontaneous neural activity and dynamic functional connectivity (dFC) are both important in supporting cognition, but how these two types of brain dynamics evolve and co-evolve in subjective cognitive decline (SCD) and mild cognitive impairment (MCI) remain unclear. The aim of this study is to investigate recurrent and concurrent patterns of two types of dynamic brain states correlated with cognitive decline. Methods: the present study analyzed resting-state fMRI from 62 SCD, 75 MCI and 70 healthy controls (HC). Results: We identified a few recurrent states of dynamic regional spontaneous activity (measured as dynamic fractional amplitude of low-frequency fluctuations, dfALFF) and dFC, and further ascertained the co-occurrent patterns of two types of dynamic brain states (i.e., dfALFF and dFC states). Importantly, the occurrence frequency of a default mode network (DMN)-dominated dFC state was significantly different between HC and SCD, while the co-occurrence frequency of a DMN-dominated dFC state and a DMN-dominated dfALFF state was significantly different between SCD and MCI. These two dynamic features were both significantly positively correlated with Mini Mental State Examination scores. Conclusion: This study discovered new neural signatures of cognitive decline from recurrent and concurrent patterns of dfALFF and dFC, providing strong evidence supporting SCD as the transition phase between normal aging and MCI. This finding holds the potential to differentiate SCD from HC by using both dFC and dfALFF as objective neuroimaging biomarkers, and thus helps the early diagnosis and intervention of AD.

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Physical and mental health characteristics of adults with subjective cognitive decline: A study of 3,407 people aged 18-81 years from an MTurk-based U.S. national sample

10.1101/2020.04.07.029553 ◽

2020 ◽

Author(s):

Ryan Van Patten ◽

Tanya T. Nguyen ◽

Zanjbeel Mahmood ◽

Ellen E. Lee ◽

Rebecca E. Daly ◽

...

Keyword(s):

Mental Health ◽

Older Adults ◽

Cognitive Decline ◽

High Body Mass Index ◽

National Sample ◽

Self Report ◽

Effect Sizes ◽

Subjective Cognitive Decline ◽

Poor Sleep ◽

Physical And Mental Health

AbstractSubjective cognitive decline (SCD), or internal feelings of reduced mental capacity, is of increasing interest in the scientific, clinical, and lay community. Much of the extant literature is focused on SCD as a risk factor for Alzheimer’s disease in older adults, while less attention has been paid to non-cognitive health correlates of SCD across adulthood. Consequently, we investigated physical and mental health correlates of SCD in younger, middle-aged, and older adults. We recruited 3,407 U.S. residents through Amazon’s Mechanical Turk, an online labor market. Participants completed a 90-item self-report survey questionnaire assessing sociodemographic characteristics, physical health, sleep, depression, anxiety, loneliness, wisdom, self-efficacy, and happiness. Overall, 493/1930 (25.5%) of younger adults (18-49) and 278/1032 (26.9%) of older adults (50 or older) endorsed the SCD item. Multivariate analysis of variance and follow-up t-tests revealed worse physical and mental health characteristics in people endorsing SCD compared to those who did not, with effect sizes primarily in the medium to large range. Additionally, age did not moderate relationships between SCD and physical and mental health. Results suggest that SCD is associated with a diverse set of negative health characteristics such as poor sleep and high body mass index, and lower levels of positive factors including happiness and wisdom. Effect sizes of psychological correlates of SCD were as large as (or larger than) those of physical correlates, indicating that mental health and affective symptoms may be critical to consider when evaluating SCD. Overall, findings from this large, national U.S. sample suggest the presence of relationships between SCD and multiple psychological and perceived health factors; our results also show that SCD may be highly prevalent in both younger and older adults, suggesting that it be assessed across the adult lifespan.

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Self‐report of seriousness of forgetting predicts objective memory ability in older adults with subjective cognitive decline

Alzheimer s & Dementia ◽

10.1002/alz.055827 ◽

2021 ◽

Vol 17 (S6) ◽

Author(s):

Linda Mah ◽

Geetanjali Murari ◽

Susan Vandermorris ◽

Nicolaas Paul L.G. Verhoeff ◽

Nathan Herrmann

Keyword(s):

Older Adults ◽

Cognitive Decline ◽

Self Report ◽

Subjective Cognitive Decline ◽

Memory Ability

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A-188 Psychometric Characteristics of the Cognitive Difficulties Scale in a Clinical Referral Sample

Archives of Clinical Neuropsychology ◽

10.1093/arclin/acaa068.188 ◽

2020 ◽

Vol 35 (6) ◽

pp. 983-983

Author(s):

Gass C ◽

Patten B ◽

Penate A ◽

Rhodes A

Keyword(s):

Cognitive Decline ◽

Digit Span ◽

Self Report ◽

Fine Motor ◽

Subjective Cognitive Decline ◽

Temporal Orientation ◽

Factor Scores ◽

Psychometric Characteristics ◽

Cognitive Difficulties ◽

Cognitive Complaint

Abstract Objective Evaluate the psychometric characteristics of the Cognitive Difficulties Scale (CDS; McNair & Kahn, 1983), a 39-item Likert-type self-report instrument that requires a fifth-grade reading level. The CDS is a popular instrument that has been shown to predict cognitive decline. Evaluation included an exploratory factor analysis, measures of internal consistency, relation to demographics, criterion validity, and normative table for raw to T score/percentile transformation. Method Participants were 643 consecutive referrals (71% women, mean age 60.6 and education 14.6 years) for a neuropsychological examination in a memory disorders clinic as part of a broader neurodiagnostic workup for cognitive decline. A principal components analysis was conducted followed by varimax rotation (Kaiser). Factor scores were investigated in relation to multiple internal and external criteria. Results Six dimensions of cognitive complaint emerged accounting for 64% of the variance: Attention/Concentration, Fine Motor Skill, Prospective Memory, Speech Problems, Memory for Names, and Temporal Orientation. Factors showed good internal consistencies (alphas > .850). Correlations with Logical Memory, Visual Reproduction, and Digit Span were all nonsignificant. CDS factor scores were highly predictive of MMPI-2 measures of anxiety, depression, and somatic preoccupation. Percentiles and T-scores were derived for the CDS total score and its six component scales. Conclusion The CDS is a multidimensional measure of subjective cognitive complaints that provides clinicians with a psychometrically sound basis for deriving a profile with six subscale scores. The test has substantial clinical utility, and is a potentially useful tool in exploring subjective cognitive decline as a prodrome to dementia.

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