MétaCan
Menu
← Back to cohort
Record W4210452236 · doi:10.1161/str.53.suppl_1.tmp96

Abstract TMP96: Maladaptive Plasticity In Dystonia Following Pediatric Basal Ganglia Stroke: Associations Between Structural Connectivity And Cognitive Functioning

2022· article· en· W4210452236 on OpenAlexaff
Justine Ledochowski, Samantha J. Feldman, Kirstin Walker, Trish Domi, Amanda Robertson, Cecilia Jobst, Douglas Cheyne, Robyn Westmacott, Dickinson Mary, Nomazulu Dlamini

Bibliographic record

VenueStroke · 2022
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsYork UniversitySickKids FoundationHospital for Sick Children
Fundersnot available
KeywordsDystoniaMedicineBasal gangliaStroke (engine)Fractional anisotropyNeuroplasticityWhite matterCervical dystoniaPhysical medicine and rehabilitationInternal medicineMagnetic resonance imagingPsychiatryCentral nervous systemRadiology

Abstract

fetched live from OpenAlex

Background: Dystonia is one of the most common movement disorders after pediatric basal ganglia stroke, causing significant disability. It presents several months post stroke suggesting a role of maladaptive neuroplasticity in its manifestation. Children with dystonia show additional difficulties in intelligence (IQ), academics, and cognitive inhibition, beyond those associated with stroke. Objective: To examine structural connectivity in children with post-stroke dystonia and its relationship with cognitive outcomes. Method: A prospective study of children with unilateral basal ganglia stroke and dystonia and healthy controls. Diffusion tensor imaging was used to assess white matter integrity in the cingulum and superior longitudinal fasciculus (SLF) using fractional anisotropy (FA) and mean diffusivity (MD). Participants completed measures of IQ and cognitive inhibition and flexibility. Results: Six children with basal ganglia stroke and dystonia (6 female; Median age= 15.98, IQR= 4.32) and 6 neurotypical controls (3 male; Median age= 18.01, IQR= 5.13) were included. Participants were age-matched within 1-3 years. Hemispheres were matched by dominance such that if the stroke was in the dominant hemisphere the control’s dominant hemisphere was matched to the ipsilateral side and vice versa. Mann Whitney-U tests showed children with dystonia had poorer performance on measures of IQ (U= 0, p=. 002, η 2 = .69) and inhibition (U= 4.5, p= .026, η 2 = .39). FA was lower in the ipsilateral cingulum (U= 5, p= .041, η 2 = .36) and MD was higher in the ipsilateral SLF (U= 32, p= .026, η 2 = .42) in the dystonia participants. Significant associations (p< .05) were found between ipsilateral cingulum FA and IQ (r= .56), inhibition (r= .76), and flexibility (r= .60); contralateral cingulum FA and inhibition (p= .59); ipsilateral SLF FA and inhibition (r= .51) and flexibility (r= .58); and ipsilateral SLF MD and inhibition (r= -.54) and flexibility (r= -.55). Associations between the contralateral cingulum FA and IQ (r= .47, p= .060) and flexibility (r= .50, p= .051) trended to significance. Conclusion: Findings support the hypothesis that post-stroke dystonia reflects maladaptive reorganization after injury that is associated with motor and cognitive outcome.

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 score0.004
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.017
GPT teacher head0.266
Teacher spread0.249 · 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

Citations2
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueStroke→Same topicCerebral Palsy and Movement Disorders→French-language works237,207→