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Record W7117252253 · doi:10.1002/alz70857_100342

Linking Hippocampal Atrophy to Emotional Dysregulation and Sleep Disturbances in Neurodegenerative Disease

2025· article· en· W7117252253 on OpenAlexaffabout
Kaela A. Franco, Joel Ramirez, Fuqiang Gao, Vanessa Yhap, Christopher J.M. Scott, Maged Goubran, Mark I. Boulos, Sandra E. Black, ONDRI Investigators

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsUniversity of TorontoOntario Brain InstituteSunnybrook Health Science Centre
Fundersnot available
KeywordsApathyHippocampal formationDiseaseSleep (system call)AtrophyNeuroimagingHippocampus

Abstract

fetched live from OpenAlex

BACKGROUND: In neurodegenerative diseases causing dementia, hippocampal atrophy can lead to cognitive decline and emotional dysregulation. Sleep is crucial for memory consolidation and emotional regulation, with the hippocampus being fundamental in forming episodic emotional memories. The Neuropsychiatric Inventory (NPI) evaluates behavioural symptoms like apathy and aberrant behaviors, while the Pittsburgh Sleep Quality Index (PSQI) assesses sleep quality. This study examined correlations between hippocampal volumes with NPI and PSQI scores in patients with neurodegenerative disease. METHOD: Study participant data was obtained retrospectively from the Sunnybrook Dementia Study (SDS) and the Ontario Neurodegenerative Disease Research Initiative (ONDRI). A standardized neuroimaging pipeline was used to measure hippocampal atrophy using HippMapp3r, whole brain atrophy was estimated using the brain parenchymal fraction (BPF), and cerebral small vessel disease was derived from white matter hyperintensity volumes (WMH). NPI and PSQI scores were collected during patient visits. Linear regression and correlation analyses examined associations between hippocampal volumes with NPI and PSQI while controlling for age, sex, education, BPF, and WMH. RESULT: In the SDS cohort, partial correlations (N = 297) revealed a negative relationship between hippocampal volumes and NPI-Aberrant scores (ρ=-0.13, p = 0.029). Regression models (N = 1027) showed hippocampal volumes were negatively associated with NPI-Apathy scores (β=-0.085, p = 0.007). In the ONDRI cohort, hippocampal volumes correlated with poorer perceived sleep quality in both the Alzheimer's disease/mild cognitive impairment (ADMCI: N=215, ρ=0.26, p <0.0001) and cerebrovascular disease (CVD: N=331, ρ=0.17, p = 0.002) groups. Smaller hippocampal volumes were correlated with longer sleep duration in the Alzheimer's disease/mild cognitive impairment (ADMCI) group (N=211, ρ=-0.33, p <0.0001). There was no significant correlation between hippocampal volume and NPI-apathy scores in ONDRI. Aberrant behaviour was not assessed in ONDRI's NPI-Q, and PSQI measures were not available in SDS. CONCLUSION: Hippocampal atrophy in neurodegenerative diseases may be related to increased apathy, aberrant behaviours, and altered sleep patterns. These findings suggest that diminished hippocampal volumes may impair emotional regulation and introduce compensatory sleep quality mechanisms. Future studies on neurodegenerative diseases with neuroimaging should include full measures of apathy and aberrant behaviour, as well as more objective sleep quality measures (polysomnography or wrist actigraphy) to further explore important relationships with brain atrophy.

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 score0.017
Threshold uncertainty score0.035

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 science0.0000.001
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 head0.016
GPT teacher head0.300
Teacher spread0.283 · 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

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