Attention capacity and self-report of subjective cognitive decline: A P3 ERP study

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

Dementia and Neurocognitive Disorders ◽

10.12779/dnd.2019.18.1.19 ◽

2019 ◽

Vol 18 (1) ◽

pp. 19 ◽

Cited By ~ 3

Author(s):

Yun Jeong Hong ◽

Kyung Won Park ◽

Do-Young Kang ◽

Jae-Hong Lee

Keyword(s):

Cognitive Decline ◽

The Self ◽

Self Report ◽

Subjective Cognitive Decline ◽

Pathological Changes ◽

Neuroimaging Biomarkers

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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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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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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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An Effect of Education on Memory-Encoding Activation in Subjective Cognitive Decline

Journal of Alzheimer s Disease ◽

10.3233/jad-201087 ◽

2021 ◽

pp. 1-14

Author(s):

Akiko Mizuno ◽

Helmet T. Karim ◽

Maria J. Ly ◽

Ann D. Cohen ◽

Brian J. Lopresti ◽

...

Keyword(s):

Cognitive Decline ◽

Cognitive Reserve ◽

Amyloid Β ◽

Brain Activation ◽

Neural Correlates ◽

Self Report ◽

Subjective Cognitive Decline ◽

Memory Encoding ◽

Older Individuals ◽

The Face

Background: Subjective cognitive decline (SCD) may be an early manifestation of pre-clinical Alzheimer’s disease. Elevated amyloid-β (Aβ) is a correlate of SCD symptoms in some individuals. The underlying neural correlates of SCD symptoms and their association with Aβ is unknown. SCD is a heterogeneous condition, and cognitive reserve may explain individual differences in its neural correlates. Objective: We investigated the association between brain activation during memory encoding and SCD symptoms, as well as with Aβ, among older individuals. We also tested the moderating role of education (an index of cognitive reserve) on the associations. Methods: We measured brain activation during the “face-name” memory-encoding fMRI task and Aβ deposition with Pittsburgh Compound-B (PiB)-PET among cognitively normal older individuals (n = 63, mean age 73.1 ± 7.4 years). We tested associations between activation and SCD symptoms by self-report measures, Aβ, and interactions with education. Results: Activation was not directly associated with SCD symptoms or Aβ. However, education moderated the association between activation and SCD symptoms in the executive control network, salience network, and subcortical regions. Greater SCD symptoms were associated with greater activation in those with higher education, but with lower activation in those with lower education. Conclusion: SCD symptoms were associated with different patterns of brain activation in the extended memory system depending on level of cognitive reserve. Greater SCD symptoms may represent a saturation of neural compensation in individuals with greater cognitive reserve, while it may reflect diminishing neural resources in individuals with lower cognitive reserve.

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