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Record W7133056404

Neural Correlates of Rhythmic Auditory–Motor Timing in Developmental Coordination Disorder and the Role of Musical Training

2024· dissertation· W7133056404 on OpenAlexfundno aff
Marija Pranjic

Bibliographic record

VenueTSpace · 2024
Typedissertation
Language
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsnot available
FundersAzrieli FoundationMitacs
KeywordsRhythmNeural correlates of consciousnessFunctional magnetic resonance imagingNeuropsychologyPerceptionAuditory perceptionEntrainment (biomusicology)Sensorimotor rhythmAuditory feedbackCognition
DOInot available

Abstract

fetched live from OpenAlex

Auditory rhythms enable the brain to make temporal predictions about upcoming stimuli and entrain motor responses even below levels of conscious perception. Although positive effects of rhythmic entrainment have been demonstrated in adults with movement disorders, it is unclear whether these benefits apply to children with developmental coordination disorder (DCD). DCD remains largely underdiagnosed despite being one of the most common neurodevelopmental conditions, and studies examining auditory-motor interactions in DCD are scarce. This thesis comprises three articles that aim to provide a comprehensive behavioural and neurophysiological assessment of auditory-motor abilities in children with DCD and in typically developing (TD) children with and without musical training. Chapters 1 and 2 introduce relevant literature and the purpose of the thesis. Chapter 3 provides a critical appraisal of existing literature and highlights a gap in research regarding auditory-perceptual abilities in DCD. Chapters 4 and 5 examined rhythmic timing by combining electroencephalography, adaptive psychophysical procedures, finger-tapping paradigms, and standardized neuropsychological tests. Chapter 4 demonstrates that children with DCD can benefit from rhythmic auditory cues despite displaying vulnerabilities in rhythm perception compared to their TD peers with musical training. Notably, children with musical training consistently outperformed their DCD and TD peers across tasks, suggesting that rhythmic skills can be enhanced through practice. At the neural level, paced tapping was associated with increased beta power in the motor cortex and decreased functional connectivity in the ipsilateral fronto-central network compared to unpaced tapping, indicating that the presence of auditory cues reduced the demand for neural processing. In Chapter 5, we examined the influence of awareness on rhythmic motor adjustments and showed that children with DCD can employ similar synchronization strategies as their TD peers when adjusting to large and small perturbations in auditory sequence. However, they displayed reduced interhemispheric connectivity when making planned adaptations compared to their TD peers, providing evidence of atypical transfer between the hemispheres. Chapter 6 synthesizes these findings. Together, this thesis made novel contributions to understanding the link between rhythmic timing and neural cortical activity in children, providing compelling evidence for the use of individually tailored rhythm-based interventions in children with DCD.

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)0.002
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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
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 head0.016
GPT teacher head0.293
Teacher spread0.276 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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