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Record W7117299739 · doi:10.1002/alz70856_101815

Study on the correlation between multimodal image features and multi‐cognitive domain function in patients with cognitive impairment of Qinghai plateau area

2025· article· en· W7117299739 on OpenAlexaboutno aff
Baogen Ru, Aiqin Zhu

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHigh Altitude and Hypoxia
Canadian institutionsnot available
Fundersnot available
KeywordsCorrelationCognitive impairmentCognitionPlateau (mathematics)Domain (mathematical analysis)Pattern recognition (psychology)Image (mathematics)

Abstract

fetched live from OpenAlex

Abstract Background Explore the imaging characteristics of brain structure and function in patients with mild cognitive impairment(MCI) and Alzheimer's disease(AD) in a high‐altitude hypoxic environment, as well as their correlation with multiple cognitive domain. Method Based on the Montreal Cognitive Assessment (MoCA) Scales, 30 elderly individuals each from the Qinghai region (average altitude: 2300 meters) with normal cognition (NC), MCI and AD were selected. There were no significant statistically differences among the three groups in terms of age, gender, and education. Multi‐cognitive domain scales were assessed. All participants underwent structural magnetic resonance imaging (sMRI) examinations. Voxel‐based morphometry (VBM) and surface‐based morphometry (SBM) methods were used. Resting‐state functional imaging techniques were analyzed brain network functional connectivity patterns. Result Compared with NC group, the volume of gray matter in left fusiform gyrus and right parahippocampal gyrus decreased in MCI group, and the volume and thickness of gray matter in bilateral entorhinal cortex and temporal pole decreased significantly in AD group ( p <0.05). orrelation analysis revealed that the gray matter volume of left fusiform gyrus was positively correlated with MoCA (r s =0.365), Auditory Verbal Learning Test(AVLT‐Delay) (r s =0.302) and Verbal Fluency Test (VFT)(r s =0.318); The gray matter volume of the right parahippocampal gyrus was positively correlated with MoCA (r s =0.355), AVLT‐Delay (r s =0.312) and Clock Drawing Test (CDT) (r s =0.363) ( p <0.01). The thickness of the right temporal pole cortex is positively correlated with MoCA scores (r s =0.363), AVLT‐delay scores (r s =0.318), VFT scores (r s =0.310), and CDT scores (r s =0.335) ( p <0.01). Moreover, compared to the NC group, the MCI and AD groups showed significant changes in ALFF, fALFF, and ReHo values in multiple brain regions ( p <0.05, GRF corrected). The sensorimotor network, ventral attention network and default mode network functional connection were significantly decreased in AD group, and the ventral attention network functional connection was significantly correlated with MoCA (r s =0.276) and CDT (r s =0.234)( p <0.05), although the strength of the correlation was weak. Conclusion During the progression from MCI to AD patients in hypoxic environments, there is a gradual deterioration in brain structure and functional connectivity, and these changes are closely related to the decline of overall cognition, episodic memory, language ability and visuospatial function.

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)0.000
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 score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.011
GPT teacher head0.253
Teacher spread0.242 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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