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Record W4414180239 · doi:10.1192/j.eurpsy.2025.1217

Better understand the semiology of the dysgraphia in DCD children by highlighting a motor control disorder

2025· article· en· W4414180239 on OpenAlexaff
L. Vaivre-Douret, Charlene Lopez

Bibliographic record

VenueEuropean Psychiatry · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicWriting and Handwriting Education
Canadian institutionsUniversity Hospital
Fundersnot available
KeywordsDysgraphiaHandwritingSemiologyPerceptionMotor controlMotor coordinationPsychosocial

Abstract

fetched live from OpenAlex

Introduction Handwriting is mainly a motor process involving an efficient level of motor organization lead-ing to fine coordination of movements, thus, children with developmental coordination disorder (DCD) are particularly affected with handwriting disorders. Objectives We aimed to investigate handwriting disorders in DCD children in order to better understand the semiology of dysgraphia. Methods Data from 65 children aged 5 to 15 years (mean age 8.9 years, SD = 2.5) with DCD were collected on DSM-V criteria. They had no other medical or psychiatric condition and born full-term. They were assessed with handwriting testing and standardized assessments of neuropsychological, neurovisual, MRI and neuropsychomotor functions (NP-MOT neurodevelopmental battery), including muscular tone examination. Particular attention was paid to minor neurological dysfunctions (MND) which can be detected with the NP-MOT battery, such as a mild phasic stretch reflex (PSR). Results Findings showed a high rate of visual perceptual motor, visuo-spatial, and visuo-constructional impairments (> 82%), visual pursuit disorders (93%) and 89% of handwriting disorders (HD, n=58). Among these HD, there are 83% of poor handwriting (PH) and 17% of dysgraphia (DysG). Moreover, we found in HD, 36% of PSR (with 29% in PH vs 70% in DysG) correlated to imbalance of axial tone (hyper-extension) associated with increase of neuropsychomotor disorders such as dissonance between spontaneous gestural, usual and psychosocial lateralities (P = 0.03), impairments of coordination between upper and lower limbs (P = 0.001), impairments of manual dexterity (P < 0.001), impairments of dynamic balance (P = 0.002), and dysdiadochokinesis (P < 0.001). Comparing PH and DysG groups, dysgraphia is associated to PSR (P = 0.04). 38% of abnormal MRI scans were heterogeneous and non-specific to the level of handwriting disorder and to PSR. Conclusions Dysgraphia appears to be a singular disorder as a comorbidity of DCD, which is significantly associated with a high incidence of motor impairments, suggesting a disturbance of the motor pathway (mild distal spasticity of the pyramidal corticospinal tract dysfunction). The presence of MND such as PSR highlights a mild impairment of the motor voluntary movement from the premotor cortex. PH appears primarily due to an immaturity of handwriting gesture consecutive to disorders of coordination programming in DCD. Dysgraphia should be assessed not only with a simple handwriting test (legibility and speed) but completed with a developmental standardized physical neuropsychomotor examination assessing the presence of MND because to know the nature of the disorder is useful in clinical decision-making processes for handwriting remediation. Disclosure of Interest None Declared

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)0.001
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 score0.109
Threshold uncertainty score0.363

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.004
GPT teacher head0.250
Teacher spread0.246 · 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
Published2025
Admission routes1
Has abstractyes

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