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Analysis of rehabilitation effect of repetitive transcranial magnetic stimulation based on resting⁃state fMRI in post⁃stroke cognitive impairment patients with low thyroid hormone levels

2022· article· en· W4324102743 on OpenAlexaboutno aff
MEI Hao⁃nan, Jiang Ma, Hong Li, Zhang Jun, Xiaolin Tao, Yu Liu, Yayong Li, HUO Jian⁃xing

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2022
Typearticle
Languageen
FieldNeuroscience
TopicEEG and Brain-Computer Interfaces
Canadian institutionsnot available
Fundersnot available
KeywordsTranscranial magnetic stimulationResting state fMRIRehabilitationStroke (engine)Physical medicine and rehabilitationCognitive impairmentCognitionMedicineAudiologyStimulationNeurosciencePsychologyInternal medicinePhysics

Abstract

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Objective To evaluate brain plasticity by resting⁃state fMRI (rs⁃fMRI), and to explore the potential neuroendocrine mechanism of repetitive transcranial magnetic stimulation (rTMS) in improving post⁃stroke cognitive impairment (PSCI) in patients with low thyroid hormone (TH) level. Methods A total of 28 patients with PSCI with low TH level who received rehabilitation treatment in Shijiazhuang People's Hospital from August 2020 to December 2021 were randomly divided into rTMS group (n=15) and control group (n=13). Cognitive function was assessed by Montreal Cognitive Scale (MoCA) before and 4 weeks after rTMS, and serum levels of tri⁃iodothyronine (T3), thyroxine (T4) and thyroid stimulating hormone (TSH) were measured by double antibody sandwich method. rs⁃fMRI was used to calculate the fractional amplitude of low⁃frequency fluctuation (fALFF) and observe the activated brain regions after stimulation. Pearson correlation analysis was used to obtain the distribution of synchronous changes of activated brain areas based on whole⁃brain functional connection strength of hypothalamus and serum TH level in 2 groups. Results After 4 weeks of intervention, compared with control group, MoCA score (F=1163.054, P=0.000), and serum T3 (F=1111.685, P=0.000), T4 (F=847.333, P=0.000), TSH (F=251.316, P=0.000) in rTMS group was increased. In rTMS group, fALFF value increased mainly in posterior cerebellar lobe (t=4.699, P<0.05), middle frontal gyrus (t=4.356, P<0.05) and superior frontal gyrus (t=5.675, P<0.05), while fALFF value decreased in superior temporal gyrus (t=⁃7.874, P<0.05) and middle temporal gyrus (t=⁃5.776, P<0.05). The enhanced functional connectivity of the whole brain with bilateral hypothalamus as the region of interest (ROI) and the simultaneous increase of serum T3 and TSH levels were mainly concentrated in the cerebellum, frontal lobe and parahippocampal gyrus. Conclusions rTMS can indirectly affect hypothalamic function through cerebral cortex, increase serum TH level and improve cognitive function in PSCI 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 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.051
GPT teacher head0.424
Teacher spread0.373 · 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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Citations3
Published2022
Admission routes1
Has abstractyes

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