Cognitive impairments in schizophrenia as assessed through activation and connectivity measures of magnetoencephalography (MEG) data
The cognitive dysfunction present in patients with schizophrenia is thought to be driven in part by disorganized connections between higher-order cortical fields. Although studies utilizing EEG, PET and fMRI have contributed significantly to our understanding of these mechanisms, magnetoencephalogr...
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doaj-cb32daf4f5b449fe959a6d73545dba4c2020-11-25T02:42:42ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612010-11-01310.3389/neuro.09.073.2009738Cognitive impairments in schizophrenia as assessed through activation and connectivity measures of magnetoencephalography (MEG) dataLeighton B Hinkley0Julia P Owen1Melissa Fisher2Anne M Findlay3Sophia Vinogradov4Sophia Vinogradov5Srikantan S Nagarajan6University of California, San FranciscoUniversity of California, San FranciscoVA Medical CenterUniversity of California, San FranciscoUniversity of California, San FranciscoVA Medical CenterUniversity of California, San FranciscoThe cognitive dysfunction present in patients with schizophrenia is thought to be driven in part by disorganized connections between higher-order cortical fields. Although studies utilizing EEG, PET and fMRI have contributed significantly to our understanding of these mechanisms, magnetoencephalography (MEG) possesses great potential to answer long-standing questions linking brain interactions to cognitive operations in the disorder. Many experimental paradigms employed in EEG and fMRI are readily extendible to MEG and have expanded our understanding of the neurophysiological architecture present in schizophrenia. Source reconstruction techniques, such as adaptive spatial filtering, take advantage of the spatial localization abilities of MEG, allowing us to evaluate which specific structures contribute to atypical cognition in schizophrenia. Finally, both bivariate and multivariate functional connectivity metrics of MEG data are useful for understanding how these interactions in the brain are impaired in schizophrenia, and how cognitive and clinical outcomes are affected as a result. We also present here data from our own laboratory that illustrates how some of these novel functional connectivity measures, specifically imaginary coherence (IC), are quite powerful in relating disconnectivity in the brain to characteristic behavioral findings in the disorder.http://journal.frontiersin.org/Journal/10.3389/neuro.09.073.2009/fullExecutive FunctionSchizophreniafunctional connectivityresting-statemagneto-encephalography |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Leighton B Hinkley Julia P Owen Melissa Fisher Anne M Findlay Sophia Vinogradov Sophia Vinogradov Srikantan S Nagarajan |
spellingShingle |
Leighton B Hinkley Julia P Owen Melissa Fisher Anne M Findlay Sophia Vinogradov Sophia Vinogradov Srikantan S Nagarajan Cognitive impairments in schizophrenia as assessed through activation and connectivity measures of magnetoencephalography (MEG) data Frontiers in Human Neuroscience Executive Function Schizophrenia functional connectivity resting-state magneto-encephalography |
author_facet |
Leighton B Hinkley Julia P Owen Melissa Fisher Anne M Findlay Sophia Vinogradov Sophia Vinogradov Srikantan S Nagarajan |
author_sort |
Leighton B Hinkley |
title |
Cognitive impairments in schizophrenia as assessed through activation and connectivity measures of magnetoencephalography (MEG) data |
title_short |
Cognitive impairments in schizophrenia as assessed through activation and connectivity measures of magnetoencephalography (MEG) data |
title_full |
Cognitive impairments in schizophrenia as assessed through activation and connectivity measures of magnetoencephalography (MEG) data |
title_fullStr |
Cognitive impairments in schizophrenia as assessed through activation and connectivity measures of magnetoencephalography (MEG) data |
title_full_unstemmed |
Cognitive impairments in schizophrenia as assessed through activation and connectivity measures of magnetoencephalography (MEG) data |
title_sort |
cognitive impairments in schizophrenia as assessed through activation and connectivity measures of magnetoencephalography (meg) data |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Human Neuroscience |
issn |
1662-5161 |
publishDate |
2010-11-01 |
description |
The cognitive dysfunction present in patients with schizophrenia is thought to be driven in part by disorganized connections between higher-order cortical fields. Although studies utilizing EEG, PET and fMRI have contributed significantly to our understanding of these mechanisms, magnetoencephalography (MEG) possesses great potential to answer long-standing questions linking brain interactions to cognitive operations in the disorder. Many experimental paradigms employed in EEG and fMRI are readily extendible to MEG and have expanded our understanding of the neurophysiological architecture present in schizophrenia. Source reconstruction techniques, such as adaptive spatial filtering, take advantage of the spatial localization abilities of MEG, allowing us to evaluate which specific structures contribute to atypical cognition in schizophrenia. Finally, both bivariate and multivariate functional connectivity metrics of MEG data are useful for understanding how these interactions in the brain are impaired in schizophrenia, and how cognitive and clinical outcomes are affected as a result. We also present here data from our own laboratory that illustrates how some of these novel functional connectivity measures, specifically imaginary coherence (IC), are quite powerful in relating disconnectivity in the brain to characteristic behavioral findings in the disorder. |
topic |
Executive Function Schizophrenia functional connectivity resting-state magneto-encephalography |
url |
http://journal.frontiersin.org/Journal/10.3389/neuro.09.073.2009/full |
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