Literature DB >> 17544630

An fMRI investigation of procedural learning in unaffected siblings of individuals with schizophrenia.

Neil D Woodward1, Phil Tibbo, Scot E Purdon.   

Abstract

Vulnerability for schizophrenia is related, in part, to genetic predisposition. The identification of pathophysiological abnormalities associated with the disorder that are also present in unaffected family members of individuals with schizophrenia may assist in delineating the genetic contributions to vulnerability for schizophrenia. Previous functional Magnetic Resonance Imaging (fMRI) investigations of procedural learning in patients with schizophrenia identified reduced activity in the frontal cortex, basal ganglia, and parietal cortex during performance of the serial reaction time (SRT) task suggesting that abnormal function of these regions may relate to genetic vulnerability for schizophrenia. In order to examine this hypothesis, 12 unaffected siblings of patients and 15 controls underwent fMRI during performance of the SRT task. Unaffected siblings demonstrated normal performance on the SRT task. However, compared to controls unaffected siblings demonstrated less activity in regions of the frontal and parietal lobes and, to a lesser extent, basal ganglia, during procedural learning. Interestingly, unaffected siblings demonstrated greater activity in regions of the frontal cortex during the control condition compared to the procedural learning condition of the SRT task, an idiosyncratic pattern that was also observed in patient groups but not control subjects of two prior imaging studies. The findings support previous investigations suggesting that altered cerebral neurophysiology during performance of cognitive tasks may be related to genetic vulnerability for schizophrenia. Identification of genes related to the function of cerebral regions such as the prefrontal cortex, parietal lobe, and basal ganglia may assist in delineating the genetic contributions to schizophrenia.

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Year:  2007        PMID: 17544630     DOI: 10.1016/j.schres.2007.04.026

Source DB:  PubMed          Journal:  Schizophr Res        ISSN: 0920-9964            Impact factor:   4.939


  7 in total

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Authors:  Angus W MacDonald; Heidi W Thermenos; Deanna M Barch; Larry J Seidman
Journal:  Schizophr Bull       Date:  2008-06-12       Impact factor: 9.306

Review 2.  [Cognitive disorders in schizophrenic patients].

Authors:  H-P Volz; F Reischies; M Riedel
Journal:  Nervenarzt       Date:  2010-01       Impact factor: 1.214

3.  More than just tapping: index finger-tapping measures procedural learning in schizophrenia.

Authors:  Felipe N Da Silva; Farzin Irani; Jan Richard; Colleen M Brensinger; Warren B Bilker; Raquel E Gur; Ruben C Gur
Journal:  Schizophr Res       Date:  2012-02-16       Impact factor: 4.939

4.  Machine learning identifies unaffected first-degree relatives with functional network patterns and cognitive impairment similar to those of schizophrenia patients.

Authors:  Rixing Jing; Peng Li; Zengbo Ding; Xiao Lin; Rongjiang Zhao; Le Shi; Hao Yan; Jinmin Liao; Chuanjun Zhuo; Lin Lu; Yong Fan
Journal:  Hum Brain Mapp       Date:  2019-05-30       Impact factor: 5.038

5.  Motor sequence learning and pattern recognition in youth at clinical high-risk for psychosis.

Authors:  Katherine S F Damme; Natalie Gallagher; Teresa Vargas; K Juston Osborne; Tina Gupta; Vijay A Mittal
Journal:  Schizophr Res       Date:  2019-04-15       Impact factor: 4.939

6.  Effects of DISC1 Polymorphisms on Resting-State Spontaneous Neuronal Activity in the Early-Stage of Schizophrenia.

Authors:  Ningzhi Gou; Zhening Liu; Lena Palaniyappan; Mingding Li; Yunzhi Pan; Xudong Chen; Haojuan Tao; Guowei Wu; Xuan Ouyang; Zheng Wang; Taotao Dou; Zhimin Xue; Weidan Pu
Journal:  Front Psychiatry       Date:  2018-05-23       Impact factor: 4.157

Review 7.  Possible roles for fronto-striatal circuits in reading disorder.

Authors:  Roeland Hancock; Fabio Richlan; Fumiko Hoeft
Journal:  Neurosci Biobehav Rev       Date:  2016-11-05       Impact factor: 8.989

  7 in total

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