Clinical and neuroimaging correlates of mild cognitive impairment in a middle-aged community sample: the personality and total health through life 60+ study
Abstract
This cross-sectional study aimed at determining the clinical and structural brain magnetic resonance imaging correlates of mild cognitive impairment (MCI). The data presented here are from the first wave of the longitudinal Personality and Total Health through Life 60+ project. 2,551 community-dwelling individuals in the age range of 60-64 years were recruited randomly through the electoral roll. They were screened using Mini-Mental State Examination and a short cognitive battery. Those who screened positive underwent detailed medical and neuropsychological assessments. Of the 224 subjects who screened positive, 117 underwent a detailed assessment. Twenty-nine subjects fulfilled the Mayo Clinic criteria for MCI. Magnetic resonance imaging scans were analyzed for 26 subjects with MCI as well as normal controls. Subjects were clinically evaluated for depressive symptoms and major and minor depression syndromes. Logistic regression analysis was performed predicting MCI from anterior and mid-ventricular brain ratios, cortical atrophy measures, hippocampal volumes, volumes of amygdala and white matter hyperintensities after adjusting for age, gender, years of education, depression and physical disability. None of the neuroanatomical substrates appeared as predictors of MCI. The only predictors were higher depression scores and fewer years of education. Structural neuroimaging may not have an added advantage in the detection of MCI in middle-aged community-dwelling subjects. It may be that this age group is too young for such brain changes to be identified.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Mood and affective disorders are associated with impairments in cognition, including deficits in attention and memory, which are exacerbated by aging.
“Mood and affective disorders are associated with impairments in cognition, including deficits in attention and memory, which are exacerbated by aging (Jorm, 2000; Kumar et al., 2006).”
From Biological rhythms, higher brain function, and behavior: Gaps, opportunities, and challenges (2009) · cites this paper as Kumar et al., 2006
Depression is characterized not only by feelings of sadness and worthlessness, but also by inertia, lethargy, and impaired cognition that is more prevalent in the elderly.
“Depression is characterized not only by feelings of sadness and worthlessness, but also by inertia, lethargy, and impaired cognition that is more prevalent in the elderly (Geda et al., 2006) (Jorm, 2000; Kumar et al., 2006).”
From Biological rhythms, higher brain function, and behavior: Gaps, opportunities, and challenges (2009) · cites this paper as Kumar et al., 2006
In humans, the incidence of depression and impairments in cognitive function, most notably spatial memory, are higher among the elderly.
“In humans, the incidence of depression and impairments in cognitive function, most notably spatial memory, are higher among the elderly (Geda et al, 2006; Jorm, 2000; Kumar et al., 2006).”
From Biological rhythms, higher brain function, and behavior: Gaps, opportunities, and challenges (2009) · cites this paper as Kumar et al., 2006
The citation lists haven’t been fetched yet
References 32 · Cited by 31
- Authors
- Kumar, R., Parslow, R. A., Jorm, A. F., Rosenman, S. J., Maller, J., Meslin, C., Anstey, K. J., Christensen, H., & Sachdev, P. S.
- Affiliations
- Australian National University (AU)
- UNSW Sydney (AU)
- ORCID
- Venue
- Dementia and Geriatric Cognitive Disorders
- Publisher
- S. Karger AG
- Published
- 2005-12-15
- Volume
- 21
- Issue
- 1
- Pages
- 44-50
- ISSN
- 1420-8008 (ISSN-L)
- 1421-9824
- OpenAlex
- W2031437232
- Cited by
- 31
- References
- 32
- Citations by year
- 2021: 1 · 2016: 1 · 2015: 1 · 2014: 1 · 2013: 1
- FWCI
- 2.81
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Dementia and Geriatric Cognitive Disorders (publishedVersion)
- PubMed (publishedVersion)
- ANU Open Research (Australian National University) (submittedVersion)
- Funders
- National Health and Medical Research Council
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cancer-related cognitive impairment studies
- Social Sciences › Psychology › Clinical Psychology › Historical and Modern Theater Studies
- Keywords
- mild cognitive impairment, middle-aged adults, structural MRI, hippocampal volume, white matter hyperintensities, amygdala volume, cortical atrophy, depression, educational attainment, community-dwelling older adults
- MeSH terms
- Amygdala, Atrophy, Brain, Cerebral Cortex, Cerebral Ventricles, Cognition Disorders, Cross-Sectional Studies, Educational Status, Female, Health Status Indicators, Hippocampus, Humans, Magnetic Resonance Imaging, Male, Mental Status Schedule, Middle Aged, Personality, Sampling Studies, Statistics as Topic, Reproducibility of Results
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review