Literature DB >> 8085128

Dysmodularity: a neurocognitive model for schizophrenia.

A S David1.   

Abstract

Hoffman and McGlashan's introduction of the term neurodynamics prompts a neurocognitive account of schizophrenia along the same lines, called "dysmodularity." In cognitive terms dysmodularity describes an impairment in the function of specialized processors due to a breakdown in one of their prime attributes: informational encapsulation. In neural terms dysmodularity implies increased structural and functional connectivity, reduced anatomical specialization such as lateral asymmetries, and increased white matter in relation to gray. Reduced cortical pruning would be one mechanism for dysmodularity. This model is opposite to the excessive pruning model proposed by Hoffman and McGlashan, but we believe it is more firmly supported by the literature, including some articles in the same issue of Schizophrenia Bulletin (Vol. 19, No. 1, 1993).

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Year:  1994        PMID: 8085128     DOI: 10.1093/schbul/20.2.249

Source DB:  PubMed          Journal:  Schizophr Bull        ISSN: 0586-7614            Impact factor:   9.306


  14 in total

1.  Neural correlates of semantic associations in patients with schizophrenia.

Authors:  Katharina Sass; Stefan Heim; Olga Sachs; Benjamin Straube; Frank Schneider; Ute Habel; Tilo Kircher
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2013-07-24       Impact factor: 5.270

2.  Evolving complexity: how tinkering shapes cells, software and ecological networks.

Authors:  Ricard Solé; Sergi Valverde
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-02-24       Impact factor: 6.237

3.  Modular-level alterations of structure-function coupling in schizophrenia connectome.

Authors:  Yu Sun; Zhongxiang Dai; Junhua Li; Simon L Collinson; Kang Sim
Journal:  Hum Brain Mapp       Date:  2016-12-29       Impact factor: 5.038

4.  Disrupted modularity and local connectivity of brain functional networks in childhood-onset schizophrenia.

Authors:  Aaron F Alexander-Bloch; Nitin Gogtay; David Meunier; Rasmus Birn; Liv Clasen; Francois Lalonde; Rhoshel Lenroot; Jay Giedd; Edward T Bullmore
Journal:  Front Syst Neurosci       Date:  2010-10-08

5.  Compression of Cerebellar Functional Gradients in Schizophrenia.

Authors:  Debo Dong; Cheng Luo; Xavier Guell; Yulin Wang; Hui He; Mingjun Duan; Simon B Eickhoff; Dezhong Yao
Journal:  Schizophr Bull       Date:  2020-03-07       Impact factor: 9.306

6.  The discovery of population differences in network community structure: new methods and applications to brain functional networks in schizophrenia.

Authors:  Aaron Alexander-Bloch; Renaud Lambiotte; Ben Roberts; Jay Giedd; Nitin Gogtay; Ed Bullmore
Journal:  Neuroimage       Date:  2011-11-18       Impact factor: 6.556

7.  Origins of spatial working memory deficits in schizophrenia: an event-related FMRI and near-infrared spectroscopy study.

Authors:  Junghee Lee; Bradley S Folley; John Gore; Sohee Park
Journal:  PLoS One       Date:  2008-03-12       Impact factor: 3.240

8.  Temporal perception deficits in schizophrenia: integration is the problem, not deployment of attentions.

Authors:  Li Su; Brad Wyble; Lai-Quan Zhou; Kui Wang; Yu-Na Wang; Eric F C Cheung; Howard Bowman; Raymond C K Chan
Journal:  Sci Rep       Date:  2015-05-05       Impact factor: 4.379

9.  Schizophrenia-like topological changes in the structural connectome of individuals with subclinical psychotic experiences.

Authors:  Mark Drakesmith; Karen Caeyenberghs; Anirban Dutt; Stanley Zammit; C John Evans; Abraham Reichenberg; Glyn Lewis; Anthony S David; Derek K Jones
Journal:  Hum Brain Mapp       Date:  2015-04-02       Impact factor: 5.038

10.  Aberrant cerebellar connectivity in motor and association networks in schizophrenia.

Authors:  Ann K Shinn; Justin T Baker; Kathryn E Lewandowski; Dost Öngür; Bruce M Cohen
Journal:  Front Hum Neurosci       Date:  2015-03-18       Impact factor: 3.169

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