Literature DB >> 19211921

The relationship between cerebral hemisphere volume and receptive language functioning in dyslexia and attention-deficit hyperactivity disorder (ADHD).

Michelle Y Kibby1, Shital P Pavawalla, Jill B Fancher, Angela J Naillon, George W Hynd.   

Abstract

Because poor comprehension has been associated with small cerebral volume and there is a high comorbidity between developmental dyslexia, attention-deficit hyperactivity disorder (ADHD), and specific language impairment, the goal of this study was to determine whether cerebral volume is reduced in dyslexia and attention-deficit hyperactivity disorder in general, as some suggest, or whether the reduction in volume corresponds to poor receptive language functioning, regardless of the diagnosis. Participants included 46 children with and without dyslexia and attention-deficit hyperactivity disorder, aged 8 to 12 years. Our results indicated that cerebral volume was comparable between those with and without dyslexia and attention-deficit hyperactivity disorder overall. However, when groups were further divided into those with and without receptive language difficulties, children with poor receptive language had smaller volumes bilaterally as hypothesized. Nonetheless, the relationship between cerebral volume and receptive language was not linear; rather, our results suggest that small volume is associated with poor receptive language only in those with the smallest volumes in both dyslexia and attention-deficit hyperactivity disorder.

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Year:  2009        PMID: 19211921      PMCID: PMC2664863          DOI: 10.1177/0883073808324772

Source DB:  PubMed          Journal:  J Child Neurol        ISSN: 0883-0738            Impact factor:   1.987


  47 in total

1.  The relationship between perisylvian morphology and verbal short-term memory functioning in children with neurodevelopmental disorders.

Authors:  Michelle Y Kibby; Judith M Kroese; Allison E Morgan; Jennifer R Hiemenz; Morris J Cohen; George W Hynd
Journal:  Brain Lang       Date:  2004-04       Impact factor: 2.381

2.  Brain volume estimation from serial section measurements: a comparison of methodologies.

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Journal:  J Neurosci Methods       Date:  1990-11       Impact factor: 2.390

Review 3.  Neurobiological basis of speech: a case for the preeminence of temporal processing.

Authors:  P Tallal; S Miller; R H Fitch
Journal:  Ann N Y Acad Sci       Date:  1993-06-14       Impact factor: 5.691

4.  Naming of object-drawings by dyslexic and other learning disabled children.

Authors:  M B Denckla; R G Rudel
Journal:  Brain Lang       Date:  1976-01       Impact factor: 2.381

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Authors:  P L Holborow; P S Berry
Journal:  J Learn Disabil       Date:  1986 Aug-Sep

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Authors:  P Tallal; M Piercy
Journal:  Neuropsychologia       Date:  1974-01       Impact factor: 3.139

7.  Volumetric MRI analysis comparing subjects having attention-deficit hyperactivity disorder with normal controls.

Authors:  P A Filipek; M Semrud-Clikeman; R J Steingard; P F Renshaw; D N Kennedy; J Biederman
Journal:  Neurology       Date:  1997-03       Impact factor: 9.910

8.  Meta-analysis of structural imaging findings in attention-deficit/hyperactivity disorder.

Authors:  Eve M Valera; Stephen V Faraone; Kate E Murray; Larry J Seidman
Journal:  Biol Psychiatry       Date:  2006-09-01       Impact factor: 13.382

9.  Genetic influences on language impairment and literacy problems in children: same or different?

Authors:  D V Bishop
Journal:  J Child Psychol Psychiatry       Date:  2001-02       Impact factor: 8.982

10.  On the bases of two subtypes of developmental [corrected] dyslexia.

Authors:  F R Manis; M S Seidenberg; L M Doi; C McBride-Chang; A Petersen
Journal:  Cognition       Date:  1996-02
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  5 in total

1.  Comorbidity of reading disabilities and ADHD: Structural and functional brain characteristics.

Authors:  Nicolas Langer; Christopher Benjamin; Bryce L C Becker; Nadine Gaab
Journal:  Hum Brain Mapp       Date:  2019-02-19       Impact factor: 5.038

2.  Thalamo-cortical connectivity: what can diffusion tractography tell us about reading difficulties in children?

Authors:  Qiuyun Fan; Nicole Davis; Adam W Anderson; Laurie E Cutting
Journal:  Brain Connect       Date:  2014-08

3.  Distinct regions of the cerebellum show gray matter decreases in autism, ADHD, and developmental dyslexia.

Authors:  Catherine J Stoodley
Journal:  Front Syst Neurosci       Date:  2014-05-20

4.  Are there shared neural correlates between dyslexia and ADHD? A meta-analysis of voxel-based morphometry studies.

Authors:  Lauren M McGrath; Catherine J Stoodley
Journal:  J Neurodev Disord       Date:  2019-11-21       Impact factor: 4.025

5.  Gray Matter Features of Reading Disability: A Combined Meta-Analytic and Direct Analysis Approach(1,2,3,4).

Authors:  Mark A Eckert; Virginia W Berninger; Kenneth I Vaden; Mulugeta Gebregziabher; Loretta Tsu
Journal:  eNeuro       Date:  2016-01-23
  5 in total

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