Estimating the prevalence of Non-Verbal Learning Disability (NVLD) from the ABCD sample

Abstract Non-Verbal Learning Disability (NVLD) is a neurodevelopmental disorder characterized by deficits in processing visuospatial information but with age-appropriate verbal skills. This cognitive profile has been hypothesized to be associated with atypical white matter, but at the present there...

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Main Authors: Ambra Coccaro, Marie Banich, Irene C. Mammarella, Mario Liotti
Format: Article
Language:English
Published: Nature Portfolio 2024-04-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-58639-x
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author Ambra Coccaro
Marie Banich
Irene C. Mammarella
Mario Liotti
author_facet Ambra Coccaro
Marie Banich
Irene C. Mammarella
Mario Liotti
author_sort Ambra Coccaro
collection DOAJ
description Abstract Non-Verbal Learning Disability (NVLD) is a neurodevelopmental disorder characterized by deficits in processing visuospatial information but with age-appropriate verbal skills. This cognitive profile has been hypothesized to be associated with atypical white matter, but at the present there is a lack of evidence for this hypothesis. Currently, the condition is not characterized within the main diagnostic systems, in part because no clear set of criteria for characterizing the disorder exists. This report is the first attempt to estimate NVLD prevalence, using two sets of diagnostic criteria, in a large sample of over 11,000 children who were selected without regards to problems of specific nature, either psychological, neurological, physical and/or social. Furthermore, it examined the association between the profile of cognitive abilities and aspects of whole-brain white matter measures in children with and without symptoms associated with NVLD. Participants were drawn from the Adolescent Brain Cognitive Development (ABCD) study, a 10-year longitudinal study of 11,876 children in the U.S. The data used in the present study were drawn from the initial testing point at which the children were 9–10 years old. Prevalence of NVLD based on two distinct sets of criteria, correlations between the measures used to create the criteria, correlations between criteria measures and measures of white matter integrity. The cognitive criteria included measures of visuospatial processing, reading, intelligence and social skills. By varying the cut-offs applied to social skills in conjunction with visuo-spatial difficulties, spared reading skills and intelligence scores, we calculated prevalence for two NVLD groups. White matter characteristics were measures of volume, fractional anisotropy and mean diffusivity. Based on the criteria used, the estimated prevalence of NVLD varied from 1 to 8%. Furthermore, children with NVLD showed a dissociation between measures of visuo-spatial processing not observed in non-NVLD children. At the neurological level, findings provide preliminary evidence of associations between the cognitive profile of NVLD and abnormalities in white matters tracts. The present study documents that exists, within this large non-selected sample, a proportion of youth who show evidence of NVLD. Given those results, it appears essential to establish the best diagnostic criteria, to improve the treatment options and quality of life for children with this disorder.
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spelling doaj.art-5ab2c2c7afc2400e8cb07b0079fef0912024-04-14T11:13:40ZengNature PortfolioScientific Reports2045-23222024-04-0114111210.1038/s41598-024-58639-xEstimating the prevalence of Non-Verbal Learning Disability (NVLD) from the ABCD sampleAmbra Coccaro0Marie Banich1Irene C. Mammarella2Mario Liotti3Department of Developmental Psychology and Socialisation, University of PadovaInstitute of Cognitive Science, University of ColoradoDepartment of Developmental Psychology and Socialisation, University of PadovaDepartment of Developmental Psychology and Socialisation, University of PadovaAbstract Non-Verbal Learning Disability (NVLD) is a neurodevelopmental disorder characterized by deficits in processing visuospatial information but with age-appropriate verbal skills. This cognitive profile has been hypothesized to be associated with atypical white matter, but at the present there is a lack of evidence for this hypothesis. Currently, the condition is not characterized within the main diagnostic systems, in part because no clear set of criteria for characterizing the disorder exists. This report is the first attempt to estimate NVLD prevalence, using two sets of diagnostic criteria, in a large sample of over 11,000 children who were selected without regards to problems of specific nature, either psychological, neurological, physical and/or social. Furthermore, it examined the association between the profile of cognitive abilities and aspects of whole-brain white matter measures in children with and without symptoms associated with NVLD. Participants were drawn from the Adolescent Brain Cognitive Development (ABCD) study, a 10-year longitudinal study of 11,876 children in the U.S. The data used in the present study were drawn from the initial testing point at which the children were 9–10 years old. Prevalence of NVLD based on two distinct sets of criteria, correlations between the measures used to create the criteria, correlations between criteria measures and measures of white matter integrity. The cognitive criteria included measures of visuospatial processing, reading, intelligence and social skills. By varying the cut-offs applied to social skills in conjunction with visuo-spatial difficulties, spared reading skills and intelligence scores, we calculated prevalence for two NVLD groups. White matter characteristics were measures of volume, fractional anisotropy and mean diffusivity. Based on the criteria used, the estimated prevalence of NVLD varied from 1 to 8%. Furthermore, children with NVLD showed a dissociation between measures of visuo-spatial processing not observed in non-NVLD children. At the neurological level, findings provide preliminary evidence of associations between the cognitive profile of NVLD and abnormalities in white matters tracts. The present study documents that exists, within this large non-selected sample, a proportion of youth who show evidence of NVLD. Given those results, it appears essential to establish the best diagnostic criteria, to improve the treatment options and quality of life for children with this disorder.https://doi.org/10.1038/s41598-024-58639-x
spellingShingle Ambra Coccaro
Marie Banich
Irene C. Mammarella
Mario Liotti
Estimating the prevalence of Non-Verbal Learning Disability (NVLD) from the ABCD sample
Scientific Reports
title Estimating the prevalence of Non-Verbal Learning Disability (NVLD) from the ABCD sample
title_full Estimating the prevalence of Non-Verbal Learning Disability (NVLD) from the ABCD sample
title_fullStr Estimating the prevalence of Non-Verbal Learning Disability (NVLD) from the ABCD sample
title_full_unstemmed Estimating the prevalence of Non-Verbal Learning Disability (NVLD) from the ABCD sample
title_short Estimating the prevalence of Non-Verbal Learning Disability (NVLD) from the ABCD sample
title_sort estimating the prevalence of non verbal learning disability nvld from the abcd sample
url https://doi.org/10.1038/s41598-024-58639-x
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