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Changes of brain function and cognitive function in patients with acute cerebellar stroke

2019· article· en· W3032404255 on OpenAlexaboutno aff
Fan Lin, Ying Liu, Wenying Ma, Jingping Shi

Bibliographic record

VenueChin J Neurol · 2019
Typearticle
Languageen
FieldNeuroscience
TopicFunctional Brain Connectivity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMontreal Cognitive AssessmentCognitionMedicineFrontal lobeStroke (engine)CorrelationFunctional magnetic resonance imagingCerebellumInternal medicineHippocampusTemporal lobePosterior cingulateMagnetic resonance imagingCardiologyAudiologyPsychologyCognitive impairmentPsychiatryRadiologyEpilepsy

Abstract

fetched live from OpenAlex

Objective To investigate the changes of brain function and cognitive function in patients with acute cerebellar stroke using amplitude of low-frequency fluctuation (ALFF) and functional connection (FC). Methods The cognitive function assessment and resting state functional magnetic resonance (rs-fMRI) scan were performed on patients with acute cerebellar stroke hospitalized in Taizhou People′s Hospital or Nanjing Brain Hospital from May 2017 to June 2018. The differences of ALFF and FC values were compared. Pearson correlation analysis was used to understand the correlation between FC values and cognitive function scores. A total of 32 patients with acute cerebellar stroke and 34 healthy controls were included. Results Compared with the healthy controls, the scores of Montreal Cognitive Assessment (23.97±6.04 vs 26.56±2.93, t=-2.237, P=0.029), the Rey Auditory Verbal Learning Test (RAVLT; 3(2) vs 6(2), Z=-4.136, P=0.000) were significantly lower, and the time consuming of Trail Making Test (TMT) -B ((251.56±112.62) s vs (164.76±52.37) s) was significantly higher (t=4.054, P=0.000) in the patients with acute cerebellar stroke. The rs-fMRI results showed significant group differences in ALFF values at the four brain regions, including the right frontal lobe, left hippocampus, right cingulate gyrus and cerebellum posterior lobe. The regions that showed significant group differences were set as regions of interest (ROIs), and then the functional connectivity between ROIs and the whole brain were analyzed. The results showed significant positive correlation between the RAVLT scores and the FC values from the left hippocampus to the left frontal lobe (r=0.272, P=0.031). The FC values from the right cingulate gyrus to right inferior parietal lobule were found to be correlated positively with the scores on the TMT-B (r=0.410, P=0.023). Conclusions The patients with cerebellar stroke had cognitive impairment, mainly in memory and executive function. The changes of ALFF and FC values in related brain area from cerebellar stroke enrich our understanding of cerebellar involvement in cognitive performance. Key words: Magnetic resonance imaging; Stroke; Cognitive impairment

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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 score0.063
Threshold uncertainty score0.540

Codex and Gemma teacher scores by category

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

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 head0.011
GPT teacher head0.210
Teacher spread0.199 · 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".

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Citations0
Published2019
Admission routes1
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