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Record W4406519089 · doi:10.1016/j.jaac.2025.01.007

Report of a Work Group on Nonverbal Learning Disability: Consensus Criteria for Developmental Visual-Spatial Disorder: Reconceptualizing Nonverbal Learning Disability for DSM Consideration

2025· article· en· W4406519089 on OpenAlexfundno aff
Prudence W. Fisher, Hillary D Litwin, Mark A. Riddle, Amy Margolis

Bibliographic record

VenueJournal of the American Academy of Child & Adolescent Psychiatry · 2025
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsnot available
FundersPromiseEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute of Child Health and Human DevelopmentIrving Medical Center, Columbia UniversityDepartment of Psychiatry, Columbia UniversityJohns Hopkins Bloomberg School of Public HealthCenters for Disease Control and PreventionHospital for Sick ChildrenUniversity of WashingtonJohns Hopkins UniversityCollege of Engineering, Michigan State UniversityUniversità degli Studi di PadovaMack FoundationAmerican Academy of PediatricsMontclair State UniversityCalifornia State University, East BayUniversity of WindsorVagelos College of Physicians and Surgeons, Columbia UniversityUniversity of TorontoBaylor College of MedicineMichigan State UniversityUniversity of California, Los AngelesChild Mind InstituteDuke UniversityUniversity of MinnesotaNational Institutes of HealthOhio State UniversityColumbia UniversitySmall Business Innovation ResearchAmerican Academy of Child and Adolescent Psychiatry
KeywordsNonverbal communicationPsychologyLearning disabilityCognitive psychologyDevelopmental psychology

Abstract

fetched live from OpenAlex

OBJECTIVE: Although extant research points to nonverbal learning disability (NVLD) as a distinct disorder, it is not included in the diagnostic nomenclatures, and there is heterogeneity in how it is defined. A working group was formed to gain consensus on a standard DSM-type definition for NVLD, a necessary first step for proposing its inclusion in future DSM editions, and the disorder was renamed to better reflect the core deficit-visual-spatial problems. METHOD: An iterative process was used to reach consensus on a DSM-style criteria set that reconceptualizes NVLD as developmental visual-spatial disorder (DVSD). This process, similar to that used during the DSM-5 revision, included working with an advisory group of NVLD experts and obtaining feedback from experts in youth psychiatric diagnosis and child and adolescent mental health practitioners. Data on stakeholder acceptance of the new name were collected from adults who self-identify as having NVLD and parents of youth with NVLD. RESULTS: During the iterative process, the criteria set shifted from syndromic, multi-area, and quantitative to single focused and more clinically oriented, conceptualizing individuals with the disorder as having persistent deficits in a single area-processing or integrating visual and spatial information. This fills a gap in the DSM system, which includes diagnoses underpinned by problems in other cognitive domains. Data indicate stakeholder acceptance of the name. CONCLUSION: A standard definition for NVLD, reconceptualized as DVSD and included in DSM, will lead to improved identification of youth with clinically significant visual-spatial deficits and associated functional impairment and improve research in the area. PLAIN LANGUAGE SUMMARY: Inclusion of nonverbal learning disability (NVLD) in the DSM would lead to improved identification of individuals with significant visual-spatial deficits and encourage research. Before a mental health disorder can be included in the DSM, it must be defined in a way that a wide range of clinicians can use. The authors report on a multiyear, iterative process used to formulate a behaviorally defined, clinically oriented DSM-style criteria set for NVLD, which included input from experts on NVLD and child psychiatric diagnoses and from mental health practitioners, resulting in NVLD being reconceptualized as "developmental visual spatial disorder" (DVSD). This criteria set will be included in a proposal to the DSM to include DVSD as a "condition for further study." DIVERSITY & INCLUSION STATEMENT: One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented sexual and/or gender groups in science.

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)0.026
metaresearch head score (Gemma)0.038
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.033
Threshold uncertainty score0.139

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.038
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.001
Science and technology studies0.0060.001
Scholarly communication0.0020.001
Open science0.0030.003
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0020.001

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 head0.019
GPT teacher head0.346
Teacher spread0.327 · 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 designTheoretical or conceptual
Domainnot available
GenreMethods

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

Citations3
Published2025
Admission routes1
Has abstractno

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