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Record W2890436771 · doi:10.1016/j.heliyon.2018.e00790

Decreased GABA levels in the symptomatic hemisphere in patients with transient ischemic attack

2018· article· en· W2890436771 on OpenAlexfundno aff
Krystian Figlewski, Henning Andersen, Tobias Sevelsted Stærmose, Paul von Weitzel‐Mudersbach, Jørgen Feldbæk Nielsen, Jakob Udby Blicher

Bibliographic record

VenueHeliyon · 2018
Typearticle
Languageen
FieldMedicine
TopicAdvanced MRI Techniques and Applications
Canadian institutionsnot available
FundersBevica FondenMcGill University
KeywordsMedicineNeuroprotectionCreatineStroke (engine)IschemiaAnesthesiaInternal medicineMagnetic resonance imagingPrimary motor cortexNeuroscienceCardiologyMotor cortexPsychology

Abstract

fetched live from OpenAlex

Transient ischemic attack (TIA) is an ischemic episode of neurologic dysfunction characterized by a spontaneous clinical resolution of symptoms within 24 hours. Mechanisms of this remarkable recovery are not yet well understood. In patients with permanent brain injury caused by a stroke cortical levels of γ-Aminobutyric acid (GABA) are decreased. In this study, we aimed to investigate, whether similar alterations of cortical GABA are also present in patients with TIA. Ten first-time TIA patients with temporary unilateral motor symptoms from upper limb and 10 control subjects underwent Magnetic Resonance Spectroscopy (MRS) with SPECIAL technique. GABA:creatine (GABA:CR) ratios were measured in the hand area of the primary motor cortex in both hemispheres. GABA:CR ratios were significantly lower in the symptomatic hemisphere of TIA patients when compared with healthy subjects. Whether reduced GABA is induced directly by transient ischemia or is a secondary compensatory mechanism, which facilitate re-establishment of normal function remains to be elucidated. Further research investigating our findings in larger samples will aid in understanding of the clinical significance of GABA alterations in TIA patients. GABA MRS may provide vital information about mechanisms involved in recovery after transient ischemia, which may have crucial importance for development of new neuroprotective strategies in stroke.

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 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)0.000
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 score0.080
Threshold uncertainty score0.245

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.020
GPT teacher head0.300
Teacher spread0.280 · 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".

Quick stats

Citations12
Published2018
Admission routes1
Has abstractyes

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