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High-Frequency Oscillations in Distributed Neural Networks Reveal the Dynamics of Human Decision Making
We examine the relative timing of numerous brain regions involved in human decisions that are based on external criteria, learned information, personal preferences, or unconstrained internal considerations. Using magnetoencephalography (MEG) and advanced signal analysis techniques, we were able to n...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
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Frontiers Research Foundation
2008
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2525986/ https://www.ncbi.nlm.nih.gov/pubmed/18958227 http://dx.doi.org/10.3389/neuro.09.014.2007 |
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author | Guggisberg, Adrian G. Dalal, Sarang S. Findlay, Anne M. Nagarajan, Srikantan S. |
author_facet | Guggisberg, Adrian G. Dalal, Sarang S. Findlay, Anne M. Nagarajan, Srikantan S. |
author_sort | Guggisberg, Adrian G. |
collection | PubMed |
description | We examine the relative timing of numerous brain regions involved in human decisions that are based on external criteria, learned information, personal preferences, or unconstrained internal considerations. Using magnetoencephalography (MEG) and advanced signal analysis techniques, we were able to non-invasively reconstruct oscillations of distributed neural networks in the high-gamma frequency band (60–150 Hz). The time course of the observed neural activity suggested that two-alternative forced choice tasks are processed in four overlapping stages: processing of sensory input, option evaluation, intention formation, and action execution. Visual areas are activated first, and show recurring activations throughout the entire decision process. The temporo-occipital junction and the intraparietal sulcus are active during evaluation of external values of the options, 250–500 ms after stimulus presentation. Simultaneously, personal preference is mediated by cortical midline structures. Subsequently, the posterior parietal and superior occipital cortices appear to encode intention, with different subregions being responsible for different types of choice. The cerebellum and inferior parietal cortex are recruited for internal generation of decisions and actions, when all options have the same value. Action execution was accompanied by activation peaks in the contralateral motor cortex. These results suggest that high-gamma oscillations as recorded by MEG allow a reliable reconstruction of decision processes with excellent spatiotemporal resolution. |
format | Text |
id | pubmed-2525986 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Frontiers Research Foundation |
record_format | MEDLINE/PubMed |
spelling | pubmed-25259862008-10-27 High-Frequency Oscillations in Distributed Neural Networks Reveal the Dynamics of Human Decision Making Guggisberg, Adrian G. Dalal, Sarang S. Findlay, Anne M. Nagarajan, Srikantan S. Front Hum Neurosci Neuroscience We examine the relative timing of numerous brain regions involved in human decisions that are based on external criteria, learned information, personal preferences, or unconstrained internal considerations. Using magnetoencephalography (MEG) and advanced signal analysis techniques, we were able to non-invasively reconstruct oscillations of distributed neural networks in the high-gamma frequency band (60–150 Hz). The time course of the observed neural activity suggested that two-alternative forced choice tasks are processed in four overlapping stages: processing of sensory input, option evaluation, intention formation, and action execution. Visual areas are activated first, and show recurring activations throughout the entire decision process. The temporo-occipital junction and the intraparietal sulcus are active during evaluation of external values of the options, 250–500 ms after stimulus presentation. Simultaneously, personal preference is mediated by cortical midline structures. Subsequently, the posterior parietal and superior occipital cortices appear to encode intention, with different subregions being responsible for different types of choice. The cerebellum and inferior parietal cortex are recruited for internal generation of decisions and actions, when all options have the same value. Action execution was accompanied by activation peaks in the contralateral motor cortex. These results suggest that high-gamma oscillations as recorded by MEG allow a reliable reconstruction of decision processes with excellent spatiotemporal resolution. Frontiers Research Foundation 2008-03-28 /pmc/articles/PMC2525986/ /pubmed/18958227 http://dx.doi.org/10.3389/neuro.09.014.2007 Text en Copyright © 2008 Guggisberg, Dalal, Findlay and Nagarajan. http://www.frontiersin.org/licenseagreement This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited. |
spellingShingle | Neuroscience Guggisberg, Adrian G. Dalal, Sarang S. Findlay, Anne M. Nagarajan, Srikantan S. High-Frequency Oscillations in Distributed Neural Networks Reveal the Dynamics of Human Decision Making |
title | High-Frequency Oscillations in Distributed Neural Networks Reveal the Dynamics of Human Decision Making |
title_full | High-Frequency Oscillations in Distributed Neural Networks Reveal the Dynamics of Human Decision Making |
title_fullStr | High-Frequency Oscillations in Distributed Neural Networks Reveal the Dynamics of Human Decision Making |
title_full_unstemmed | High-Frequency Oscillations in Distributed Neural Networks Reveal the Dynamics of Human Decision Making |
title_short | High-Frequency Oscillations in Distributed Neural Networks Reveal the Dynamics of Human Decision Making |
title_sort | high-frequency oscillations in distributed neural networks reveal the dynamics of human decision making |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2525986/ https://www.ncbi.nlm.nih.gov/pubmed/18958227 http://dx.doi.org/10.3389/neuro.09.014.2007 |
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