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Record W1972923385 · doi:10.1016/j.jalz.2014.05.524

P1‐284: CEREBRAL ATROPHY IN OLDER ADULTS WITH MILD COGNITIVE IMPAIRMENT WITH OR WITHOUT DEPRESSIVE SYMPTOMS AND IN PATIENTS WITH LATE‐LIFE DEPRESSION

2014· article· en· W1972923385 on OpenAlexaff
Eddy Larouche, Simon Duchesne, Carol Hudon

Bibliographic record

VenueAlzheimer s & Dementia · 2014
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsAtrophyDepression (economics)Geriatric Depression ScaleLate life depressionPsychologyEntorhinal cortexInternal medicineMagnetic resonance imagingCognitive impairmentMedicineDementiaHippocampusCardiologyPsychiatryCognitionDiseaseDepressive symptomsHippocampal formationRadiology

Abstract

fetched live from OpenAlex

The prodromal phase of Alzheimer's disease (AD) can be identified in older adults with Mild Cognitive Impairment (MCI) or Late-life depression (LLD). In order to elucidate the heterogeneity of prodromal AD, several studies have compared clinical characteristics of MCI and LLD. However, relatively few have investigated subjects with MCI and comorbid depressive symptoms (MCI/D+). On nosological grounds, there is a need to clarify the status of individuals with aMCI/D+ in relation to MCI or LLD (Steffens et al., 2006). The principal objective of this preliminary study is to examine cerebral morphological differences between MCI, MCI/D+ and LLD, as compared to healthy controls (HC). We restricted analyses to three regions of interest: hippocampus, entorhinal cortex and insula. Participants included 10 HC, 16 MCI, 21 MCI/D+ and 11 LLD. All groups were comparable in terms of age, education level and sex distribution. The MCI and MCI/D+ groups were identified based on Albert et al. (2011) criteria and differentiated using the Geriatric Depression Scale (cut-off = 8). Patients with LLD were identified based on DSM-IV criteria for major depression. 3D T1-weighted magnetic resonance images were acquired on a 3.0-Tesla Phillips using a standardized ADNI protocol and were analyzed using Freesurfer (5.3.0). Effect sizes (Cohen's d) were calculated to assess differences between HC and other groups in terms of cerebral atrophy. Compared to HC, comparable levels of hippocampal atrophy were observed in MCI (d =.42), MCI/D+ (d =.42) and LLD (d =.45). Atrophy of the entorhinal cortex was somewhat greater in MCI (d =.49) and MCI/D+ (d =.53) than LLD (d =.31). Finally, insula atrophy was more extensive in LLD (d =.45) and MCI/D+ (d =.37) than in individuals with MCI (d =-01). Overall, these preliminary findings suggest that beyond the hippocampus, MCI/D+ can be distinguished from MCI and LLD using cerebral atrophy measures. Indeed, entorhinal atrophy in MCI/D+ is different from that in LLD. Moreover, atrophy of the insula in MCI/D+ is greater than that in MCI. These findings support the hypothesis that MCI/D+ corresponds to a putative subtype of prodromal AD, but need to be confirmed in a larger cohort.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.254
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2014
Admission routes1
Has abstractyes

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