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Record W4415536065 · doi:10.1016/j.isci.2025.113850

Cognitive impairment in tension-type headache is associated with altered hippocampal functional connectivity

2025· article· en· W4415536065 on OpenAlexaboutno aff
Burak Yuluğ, Ali Yalçınkaya, Shair Shah Safa, Ayşe Karakuş, Dila Sayman, Şeyda Çankaya, Ceyhun Sayman, Ece Özdemir Öktem, Behçet Ayyıldız, Sevilay Ayyıldız, Uğur Aylak, Bernis Sütçübaşı, Ramazan Karaca, Mehmet Ozansoy, Umutcan Duran, Halil Aziz Velioğlu, Lütfü Hanoğlu, Adil Mardinoğlu

Bibliographic record

VenueiScience · 2025
Typearticle
Languageen
FieldMedicine
TopicMigraine and Headache Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCognitionHippocampal formationSubiculumHippocampusFunctional connectivityDementiaCognitive impairmentFunctional neuroimaging

Abstract

fetched live from OpenAlex

Tension-type headache (TTH) is a widespread primary headache disorder that causes mild to moderate pain, which may be seen together with cognitive deficits. It is unclear if TTH-linked cognitive impairment is associated with functional alterations. Seventy-five participants were enrolled in the study. Mini Mental State Evaluation (MMSE) and Montreal Cognition Assessment (MoCA) tests were applied to evaluate cognitive impairment. A neuroimaging analysis was applied to determine whether the hippocampus responsible for pain and cognition was affected in TTH patients. Our functional data revealed significant alterations in the connectivity of the subiculum, hippocampal fissure, and left whole hippocampus. Among the significant functional brain alterations observed, the right subiculum consistently interacted with MoCA scores and increased pain intensity. Our findings suggest that TTH patients with cognitive impairment may exhibit unique functional alterations in the hippocampus. This suggests a potential negative association between pain modulation and cognitive processes in the hippocampus that may be responsible for the increased risk of dementia in these patients.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.073
Threshold uncertainty score0.326

Codex and Gemma teacher scores by category

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

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 head0.038
GPT teacher head0.313
Teacher spread0.275 · 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 teacher head, 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 routes1
Has abstractyes

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