Literature DB >> 9232457

Cognitive neuropsychology and its application to children.

C M Temple1.   

Abstract

Cognitive neuropsychology has been used successfully in the analysis of adult neuropsychological disorders in both verbal and nonverbal domains. When applied to children, it aims to construct models on the basis of functional lesions manifest within developing systems and provides a theoretical framework within which patterns of intact and deficient skills can be charted over time. These patterns constrain possible underlying models. In highlighting potential individual differences in the acquisition of skills and indicating intact skills within subjects, cognitive neuropsychology may also enable a precise description of the locus of difficulty and potential circumventory routes for remediation around it. The theoretical assumptions of cognitive neuropsychology and issues relevant to its methodology are discussed, including the terminology and principles of modularity, the significance of individual differences and the use of case studies, the dynamics of developing systems, current views on plasticity, and distinctions between developmental and acquired disorders. The application of cognitive neuropsychology to children is discussed in relation to three cognitive areas: face recognition disorders, language disorders and arithmetical disorders. These illustrate the similarities that there are between many developmental cognitive neuropsychological disorders and those seen in adults following brain injury. Models derived from studies of adults are helpful in enabling understanding of both face recognition disorders and arithmetical disorders in childhood. Within language systems, a variety of different types of disorder are evident, which not only relate to receptive and productive difficulties but differentially affect the core components of the language system. All of the disorders discussed illustrate the limitations of functional plasticity in development. In each case, there is not a generalised deficit resulting from degradation of capabilities independent of task requirements. Rather, there are focal and selective disorders which affect subcomponents of cognitive systems. In some cases, genetic factors may constrain compensatory mechanisms.

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Year:  1997        PMID: 9232457     DOI: 10.1111/j.1469-7610.1997.tb01504.x

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


  8 in total

1.  Cognitive neuropsychological models of adult calculation and number processing: the role of the surface format of numbers.

Authors:  G Deloche; K Willmes
Journal:  Eur Child Adolesc Psychiatry       Date:  2000       Impact factor: 4.785

2.  Selective developmental neuropsychological disorders.

Authors:  Daniel Tranel; Edward de Haan
Journal:  Cortex       Date:  2007-08       Impact factor: 4.027

Review 3.  Mathematics and the brain: uncharted territory?

Authors:  K J Neumärker
Journal:  Eur Child Adolesc Psychiatry       Date:  2000       Impact factor: 4.785

4.  An alternative to domain-general or domain-specific frameworks for theorizing about human evolution and ontogenesis.

Authors:  Annette Karmiloff-Smith
Journal:  AIMS Neurosci       Date:  2015-06-19

5.  Cognition in specific learning disability.

Authors:  Sunil Karande; Sulaxna Sawant; Madhuri Kulkarni; Sandeep Kanchan; Rukhshana Sholapurwala
Journal:  Indian J Pediatr       Date:  2005-12       Impact factor: 1.967

Review 6.  Language cannot be reduced to biology: perspectives from neuro-developmental disorders affecting language learning.

Authors:  D Vasanta
Journal:  J Biosci       Date:  2005-02       Impact factor: 2.795

7.  Developmental cognitive genetics: how psychology can inform genetics and vice versa.

Authors:  Dorothy V M Bishop
Journal:  Q J Exp Psychol (Hove)       Date:  2006-07       Impact factor: 2.143

8.  Developmental Dynamic Dysphasia: Are Bilateral Brain Abnormalities a Signature of Inefficient Neural Plasticity?

Authors:  Marcelo L Berthier; Guadalupe Dávila; María José Torres-Prioris; Ignacio Moreno-Torres; Jordi Clarimón; Oriol Dols-Icardo; María J Postigo; Victoria Fernández; Lisa Edelkraut; Lorena Moreno-Campos; Diana Molina-Sánchez; Paloma Solo de Zaldivar; Diana López-Barroso
Journal:  Front Hum Neurosci       Date:  2020-03-24       Impact factor: 3.169

  8 in total

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