Literature DB >> 11205626

Developmental dyslexia: an update on genes, brains, and environments.

E L Grigorenko1.   

Abstract

The science of reading and developmental dyslexia has experienced spectacular advances during the last few years. Five aspects of this research are discussed in the article. (1) The holistic phenomenon of reading is complex. Many lower-level psychological processes (e.g., phonemic awareness, phonological decoding, ability to process stimuli rapidly and automatize this process, memory, ability to recognize words) contribute to a single act of reading. Conceptualizing the complex process of reading through its partly overlapping but partly independent components--which contribute to, but do not fully explain, the holistic process of reading--provides an excellent model for understanding complex hierarchies of higher mental functions. Those who master reading skills successfully and those who have difficulties doing so differ in a wide range of reading-related processes. The central deficit experienced by poor readers appears to be related to phonological processing (a complex hierarchy of functions related to processing phonemes), whereas characteristics of automatization processes seem to moderate the reading outcome for people whose phonological skills are weak. (2) There are new data addressing models of dyslexia in languages other than English. The most fascinating finding is that the model implicating phonological deficit as central to dyslexia, and the lack of ability to automatize as leading to troubled reading, appears to be universal, regardless of the specific language. However, there is an interaction effect between the characteristics of a particular language and the developmental model of dyslexia. In phonologically more difficult languages (e.g., English), the most pronounced weakness appears to occur in phonological processing, whereas in phonologically easier languages (e.g., German), the crucial role in the manifestation of dyslexia is played by the lack of the skills needed to achieve automatization. (3) There is abundant evidence that reading (i.e., any single act of reading as well as reading as a holistic process) is "cooked" by the brain. Although no unified brain map of reading has been developed, some specific areas of the brain have been implicated in different reading-related cognitive processes by different laboratories and on different samples. (4) Indisputable evidence has been accumulated suggesting the involvement of the genome in developmental dyslexia. As of now, specific regions of the genome have been identified as being intimately involved with a number of different reading-related processes. Today the field of developmental dyslexia is the only area of genetic studies of human abilities and disabilities in which linkages to the genome have been robustly replicated in independent laboratories. (5) Finally, evidence suggests that developmental dyslexia might be only one of the manifestations of a deep, underlying, anatomical syndrome. The comorbidity of developmental dyslexia with both internalizing and externalizing behavioral disturbances, as well as with other learning disabilities, underscores the need for wide-ranging cognitive and behavioral approaches in the remediation programs offered to dyslexic children.

Entities:  

Mesh:

Year:  2001        PMID: 11205626

Source DB:  PubMed          Journal:  J Child Psychol Psychiatry        ISSN: 0021-9630            Impact factor:   8.982


  23 in total

Review 1.  Genetic effects on human cognition: lessons from the study of mental retardation syndromes.

Authors:  P Nokelainen; J Flint
Journal:  J Neurol Neurosurg Psychiatry       Date:  2002-03       Impact factor: 10.154

2.  Differential activation of the visual word form area during auditory phoneme perception in youth with dyslexia.

Authors:  Lisa L Conant; Einat Liebenthal; Anjali Desai; Mark S Seidenberg; Jeffrey R Binder
Journal:  Neuropsychologia       Date:  2020-06-26       Impact factor: 3.139

3.  Focus on words: a twin study of reading and inattention.

Authors:  Allison Zumberge; Laura A Baker; Franklin R Manis
Journal:  Behav Genet       Date:  2007-01-30       Impact factor: 2.805

4.  Association of reading disabilities with regions marked by acetylated H3 histones in KIAA0319.

Authors:  Jillian M Couto; Izzy Livne-Bar; Katherine Huang; Zhaodong Xu; Tasha Cate-Carter; Yu Feng; Karen Wigg; Tom Humphries; Rosemary Tannock; Elizabeth N Kerr; Maureen W Lovett; Rod Bremner; Cathy L Barr
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2010-03-05       Impact factor: 3.568

Review 5.  Moving closer to a public health model of language and learning disabilities: the role of genetics and the search for etiologies.

Authors:  Brett Miller; Peggy McCardle
Journal:  Behav Genet       Date:  2011-01-13       Impact factor: 2.805

6.  Gene-environment interaction on neural mechanisms of orthographic processing in Chinese children.

Authors:  Mengmeng Su; Jiuju Wang; Urs Maurer; Yuping Zhang; Jun Li; Catherine McBride-Chang; Twila Tardif; Youyi Liu; Hua Shu
Journal:  J Neurolinguistics       Date:  2015-02       Impact factor: 1.710

7.  Hyperlexia in children with autism spectrum disorders.

Authors:  Tina M Newman; Donna Macomber; Adam J Naples; Tammy Babitz; Fred Volkmar; Elena L Grigorenko
Journal:  J Autism Dev Disord       Date:  2007-04

8.  Functional abnormalities in the dyslexic brain: a quantitative meta-analysis of neuroimaging studies.

Authors:  Fabio Richlan; Martin Kronbichler; Heinz Wimmer
Journal:  Hum Brain Mapp       Date:  2009-10       Impact factor: 5.038

9.  Fine mapping of the 2p11 dyslexia locus and exclusion of TACR1 as a candidate gene.

Authors:  Myriam Peyrard-Janvid; Heidi Anthoni; Päivi Onkamo; Päivi Lahermo; Marco Zucchelli; Nina Kaminen; Katariina Hannula-Jouppi; Jaana Nopola-Hemmi; Arja Voutilainen; Heikki Lyytinen; Juha Kere
Journal:  Hum Genet       Date:  2004-03-06       Impact factor: 4.132

10.  The KIAA0319-like (KIAA0319L) gene on chromosome 1p34 as a candidate for reading disabilities.

Authors:  Jillian M Couto; Lissette Gomez; Karen Wigg; Tasha Cate-Carter; Jennifer Archibald; Barbara Anderson; Rosemary Tannock; Elizabeth N Kerr; Maureen W Lovett; Tom Humphries; Cathy L Barr
Journal:  J Neurogenet       Date:  2008       Impact factor: 1.250

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