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Record W3147853635

Abnormalcortical thickness in relapsing-remitting multiple sclerosis, correlations with cognition impairment, and effect of modified Bushenyisui decoction on cognitive function of multiple sclerosis.

2021· article· en· W3147853635 on OpenAlexaboutno aff
Xuesong Zhao, Fang Cheng, Song Yang, Wanlin Zhu, Shaowu Li, Yongping Fan

Bibliographic record

VenuePubMed · 2021
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMultiple sclerosisAtrophyMedicineCognitionAudiologyTemporal lobeMagnetic resonance imagingPsychologyHippocampal sclerosisNeuroscienceInternal medicineRadiologyPsychiatryEpilepsy
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To investigate the changes of subcortical gray matter volume and cortical thickness, andexplorethe correlations between regional abnormalities of cortical thickness and cognitive impairment and the effect of modified Bushenyisui decoction ( BSYSD) on the cognitive function of multiple sclerosis (MS). METHODS: This prospective study was approved by the institutional review board. 92 subjects were recruited, including 46 relapsing-remitting multiple sclerosis (RRMS) patients and 46 healthy controls (HC). Of the 46 patients, 22 patients experienced the treatment of BSYSD for half a year. A conventional three-dimensional T1-weighted sequence were acquired for all participants on a 3.0 tesla magnetic resonance system. Basic information, detailed cognitive scales Montreal Cognitive Assessment (MoCA), symbol digit modalities test (SDMT), immediate memory, delayed recall, and long-term recognition were evaluated. Subcortical gray matter volume and cortical thickness weremeasured by FreeSurfer. The correlations between cortical thickness which MS patients showed reduced with respect to HC and cognitive scales wereanalyzed by Pearson correlation in RRMS patients. The influence of modified BSYSD on MS patients' cognition was analyzed by paired T Test. RESULTS: MoCA, immediate memory, delayed recall, and long-term delayed recognition in RRMS were significantly decreased than those of HC. Gray matter atrophy measured by FreeSurfer showed mainly in thalamus and hippocampus of RRMS patients. Compared with HC, the cortical thickness of several regions in frontal lobe, parietal lobe, temporal lobe, hippocampal, cingulate gyrus, and fusiform gyrus of RRMS patients were decreased with significant difference. The regions of cortical thickness thinning related to MoCA, immediate memory, delayed recall, and long-term delayed recognition were temporal lobe and fusiform gyrus. Modified BSYSD could improve MoCA, SDMT, immediate memory, delayed recall, and long-term delayed recognition of MS patients, and it could promote the recovery of cognitive function in MS patients. CONCLUSIONS: Gray matter atrophy and cortical thickness thinning were validated in RRMS. Cortical thickness thinning of temporal lobe and fusiform gyrus strongly related to cognitive deficits in RRMS. The modified BSYSD could promote the recovery of cognitive function in MS.

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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.061
GPT teacher head0.270
Teacher spread0.208 · 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

Citations4
Published2021
Admission routes1
Has abstractyes

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