MétaCan
Menu
← Back to cohort
Record W7117268680 · doi:10.1002/alz70857_106627

Differentiating apathy and depression across neurodegenerative disorders: sex‐specific associations with severity and location of white matter hyperintensities

2025· article· en· W7117268680 on OpenAlexaffabout
Almira Siddiqui, Joel Ramirez, Shankar Tumati, Nathan Herrmann, Dallas Seitz, Krista L. Lanctôt

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldNeuroscience
TopicFunctional Brain Connectivity Studies
Canadian institutionsUniversity of CalgaryHotchkiss Brain InstituteSunnybrook HospitalHealth Sciences CentreSunnybrook Health Science CentreUniversity of Toronto
Fundersnot available
KeywordsApathyDepression (economics)HyperintensityDiseaseWhite matterAssociation (psychology)

Abstract

fetched live from OpenAlex

BACKGROUND: Apathy and depression are overlapping symptoms in neurocognitive disorders (NCDs). White matter hyperintensities (WMH), indicative of microvascular pathology, have been associated with apathy and depression individually. Less is known about these symptoms' spatial distribution and sex-specific patterns, particularly when they co-occur. It was hypothesized that individuals with comorbid apathy and depression (A+D) would exhibit higher WMH severity. METHOD: Data from the COMPASS-ND longitudinal cohort of participants with various NCDs were categorized into four groups based on the presence, absence, or comorbidity of apathy and depressive symptoms: apathy only (AO), depressive symptoms only (DO), A+D, and neither apathy nor depression (NAD). Apathy and depressive symptom presence was assessed using the Neuropsychiatric Inventory Questionnaire, while WMH severity was evaluated with the Fazekas scale (graded 0 to 3) in periventricular (PV) and subcortical (SC) regions. Ordinal regression analyses, adjusted for age, sex, and Montreal Cognitive Assessment (MoCA) scores, examined the relationships between group (AO, DO, A+D, NAD) and regional WMH severity. Separate analyses explored potential sex-specific patterns. RESULT: The 803 participants were composed of various NCDs, including mild cognitive impairment (MCI) (n = 217), vascular MCI (n = 135), Alzheimer's disease dementia (n = 72), and other diagnoses (e.g., mixed dementias, vascular dementia, Parkinson's disease, Lewy body dementia, frontotemporal dementia, etc) (n = 377). Participants had a mean (SD) MoCA score of 22.8 (4.7) (range 4-30) and a mean age of 72.1 (7.6) years, with 55.8% males. Groups included AO (n = 106, 13.2%), DO (n = 120, 15%), A+D (n = 135, 16.8%), or NAD (n = 442, 55%). Neither PVWMH nor SCWMH were associated with either AO or DO. A+D was associated with higher PVWMH severity (β=0.508, SE=0.201, p = 0.01) but not SCWMH severity. In sex-specific analyses, males with A+D exhibited higher PVWMH severity (β=0.765, SE=0.242, p = 0.002), whereas no significant associations were found between groups and WMH severity in females. CONCLUSION: This study demonstrated a positive relationship between A+D and PVWMH, particularly in males, while no associations were present in females or with separate symptoms. These findings support the need for regional and sex-specific analyses of the relationship between WMH and comorbid apathy and depression across NCDs to improve their understanding and potentially inform treatment approaches.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.257
Teacher spread0.233 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueAlzheimer s & Dementia→Same topicFunctional Brain Connectivity Studies→French-language works237,207→