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Language task-based functional connectivity in patients with post-stroke expressive aphasia: a preliminary fMRI study

2014· article· en· W3029132722 on OpenAlexaboutno aff
Quan Zhang, HE Ya-na, Jing Chen, Yi Huiming, Chong Zhang, Yunting Zhang

Bibliographic record

VenueChin J Biomed Eng · 2014
Typearticle
Languageen
FieldNeuroscience
TopicFunctional Brain Connectivity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsInsulaSupplementary motor areaFunctional magnetic resonance imagingMedicineAphasiaInferior parietal lobuleAudiologyLateralization of brain functionStroke (engine)VoxelPsychologyNeurosciencePsychiatryRadiology

Abstract

fetched live from OpenAlex

Objective To evaluate the functional connectivity through verbal association tasks in patients with post-stroke expressive aphasia,and to explore variation and neural mechanism of functional connectivity on language task-related brain region after expressive aphasia.Methods Ten patients with expressive aphasia after cerebral infarction [all males,aged 43 to 77,mean age (56.7±8.6) years old] and 10 normal volunteers (all males,age 46 to 74,average age 56.2±9.0) underwent data collection with functional magnetic resonance imaging (fMRI) during verbal association task.SPM2,AFNI and Matlab softwares were applied in pre-processing and statistical analysis of the data.Based on the activation results of the normal group,the active region of left posterior inferior frontal gyms was selected as the seed region of functional connectivity with a central Montreal Neurological Institute (MNI) coordinate of -51,9,21,and analyzed along with time series of other voxels within whole brain.Intra-and inter-group analyses were performed with single sample and two sample t-tests.The statistical threshold was voxel > 30.P < 0.001 (uncorrected) was considered as significant.Results Brain regions showed positive correlation with the seed region in control group,which mainly included the left inferior frontal gyms,left middle frontal gyms,insula,left precuneus,inferior parietal lobule,left middle temporal gyms,left basal ganglia,left thalamus,right inferior frontal gyms,right middle frontal gyms,right insula,right inferior temporal gyms,right superior temporal gyms,supplemental motor areas (SMA) and right inferior parietal lobule.Brain regions showed positive correlation with the seed point in patient group,which mainly included the posterior part of the left inferior frontal gyms,left insula,left posterior central gyms and left inferior parietal lobule.The brain regions with greater correlation to seed point in control group compared to patient group included right middle temporal gyms,right superior temporal gyms and right inferior frontal gyms.The brain regions with greater correlation to seed point in patient group compared to control group included left insula and left inferior frontal gyms.Conclusion Losing functional connectivity between the posterior part of the left inferior frontal gyrus and the regions in the right hemisphere is a neural mechanism for development of motor aphasia.The left perisylvian regions are significant for maintaining language function at the early phase of aphasia. Key words: Brain infarction;  Aphasia, broca;  Magnetic resonance imaging;  Verbal association;  Functional connectivity

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 score0.002
Threshold uncertainty score0.000

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)0.0020.000

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 head0.224
Teacher spread0.213 · 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
Published2014
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