Proactive recruitment of frontoparietal and salience networks for voluntary decisions

Authors: Rens, N., Bode, S., Burianová, H. and Cunnington, R.

Journal: Frontiers in Human Neuroscience

Volume: 11

eISSN: 1662-5161

DOI: 10.3389/fnhum.2017.00610

Abstract:

There is evidence that neural patterns are predictive of voluntary decisions, but findings come from paradigms that have typically required participants to make arbitrary choices decisions in highly abstract experimental tasks. It remains to be seen whether proactive neural activity reflects upcoming choices for individuals performing decisions in more complex, dynamic, scenarios. In this functional Magnetic Resonance Imaging (fMRI) study, we investigated proactive neural activity for voluntary decisions compared with instructed decisions in a virtual environment, which more closely mimicked a real-world decision. Using partial least squares (PLS) analysis, we found that the frontoparietal and salience networks were associated with voluntary choice selection from a time at which decisions were abstract and preceded external stimuli. Using multi-voxel pattern analysis (MVPA), we showed that participants’ choices, which were decodable from motor and visual cortices, could be predicted with lower accuracy for voluntary decisions than for instructed decisions. This corresponded to eye-tracking data showing that participants made a greater number of fixations to alternative options during voluntary choices, which might have resulted in less stable choice representations. These findings suggest that voluntary decisions engage proactive choice selection, and that upcoming choices are encoded in neural representations even while individuals continue to consider their options in the environment.

http://eprints.bournemouth.ac.uk/34323/

Source: Scopus

Proactive Recruitment of Frontoparietal and Salience Networks for Voluntary Decisions.

Authors: Rens, N., Bode, S., Burianová, H. and Cunnington, R.

Journal: Front Hum Neurosci

Volume: 11

Pages: 610

ISSN: 1662-5161

DOI: 10.3389/fnhum.2017.00610

Abstract:

There is evidence that neural patterns are predictive of voluntary decisions, but findings come from paradigms that have typically required participants to make arbitrary choices decisions in highly abstract experimental tasks. It remains to be seen whether proactive neural activity reflects upcoming choices for individuals performing decisions in more complex, dynamic, scenarios. In this functional Magnetic Resonance Imaging (fMRI) study, we investigated proactive neural activity for voluntary decisions compared with instructed decisions in a virtual environment, which more closely mimicked a real-world decision. Using partial least squares (PLS) analysis, we found that the frontoparietal and salience networks were associated with voluntary choice selection from a time at which decisions were abstract and preceded external stimuli. Using multi-voxel pattern analysis (MVPA), we showed that participants' choices, which were decodable from motor and visual cortices, could be predicted with lower accuracy for voluntary decisions than for instructed decisions. This corresponded to eye-tracking data showing that participants made a greater number of fixations to alternative options during voluntary choices, which might have resulted in less stable choice representations. These findings suggest that voluntary decisions engage proactive choice selection, and that upcoming choices are encoded in neural representations even while individuals continue to consider their options in the environment.

http://eprints.bournemouth.ac.uk/34323/

Source: PubMed

Proactive Recruitment of Frontoparietal and Salience Networks for Voluntary Decisions

Authors: Rens, N., Bode, S., Burianova, H. and Cunnington, R.

Journal: FRONTIERS IN HUMAN NEUROSCIENCE

Volume: 11

ISSN: 1662-5161

DOI: 10.3389/fnhum.2017.00610

http://eprints.bournemouth.ac.uk/34323/

Source: Web of Science (Lite)

Proactive recruitment of frontoparietal and salience networks for voluntary decisions

Authors: Rens, N., Bode, S., Burianová, H. and Cunnington, R.

Journal: Frontiers in Human Neuroscience

Volume: 11

eISSN: 1662-5161

DOI: 10.3389/fnhum.2017.00610

Abstract:

© 2017 Rens, Bode, Burianová and Cunningtons. There is evidence that neural patterns are predictive of voluntary decisions, but findings come from paradigms that have typically required participants to make arbitrary choices decisions in highly abstract experimental tasks. It remains to be seen whether proactive neural activity reflects upcoming choices for individuals performing decisions in more complex, dynamic, scenarios. In this functional Magnetic Resonance Imaging (fMRI) study, we investigated proactive neural activity for voluntary decisions compared with instructed decisions in a virtual environment, which more closely mimicked a real-world decision. Using partial least squares (PLS) analysis, we found that the frontoparietal and salience networks were associated with voluntary choice selection from a time at which decisions were abstract and preceded external stimuli. Using multi-voxel pattern analysis (MVPA), we showed that participants’ choices, which were decodable from motor and visual cortices, could be predicted with lower accuracy for voluntary decisions than for instructed decisions. This corresponded to eye-tracking data showing that participants made a greater number of fixations to alternative options during voluntary choices, which might have resulted in less stable choice representations. These findings suggest that voluntary decisions engage proactive choice selection, and that upcoming choices are encoded in neural representations even while individuals continue to consider their options in the environment.

http://eprints.bournemouth.ac.uk/34323/

Source: Manual

Preferred by: Hana Burianová

Proactive Recruitment of Frontoparietal and Salience Networks for Voluntary Decisions.

Authors: Rens, N., Bode, S., Burianová, H. and Cunnington, R.

Journal: Frontiers in human neuroscience

Volume: 11

Pages: 610

eISSN: 1662-5161

ISSN: 1662-5161

DOI: 10.3389/fnhum.2017.00610

Abstract:

There is evidence that neural patterns are predictive of voluntary decisions, but findings come from paradigms that have typically required participants to make arbitrary choices decisions in highly abstract experimental tasks. It remains to be seen whether proactive neural activity reflects upcoming choices for individuals performing decisions in more complex, dynamic, scenarios. In this functional Magnetic Resonance Imaging (fMRI) study, we investigated proactive neural activity for voluntary decisions compared with instructed decisions in a virtual environment, which more closely mimicked a real-world decision. Using partial least squares (PLS) analysis, we found that the frontoparietal and salience networks were associated with voluntary choice selection from a time at which decisions were abstract and preceded external stimuli. Using multi-voxel pattern analysis (MVPA), we showed that participants' choices, which were decodable from motor and visual cortices, could be predicted with lower accuracy for voluntary decisions than for instructed decisions. This corresponded to eye-tracking data showing that participants made a greater number of fixations to alternative options during voluntary choices, which might have resulted in less stable choice representations. These findings suggest that voluntary decisions engage proactive choice selection, and that upcoming choices are encoded in neural representations even while individuals continue to consider their options in the environment.

http://eprints.bournemouth.ac.uk/34323/

Source: Europe PubMed Central

Proactive recruitment of frontoparietal and salience networks for voluntary decisions

Authors: Rens, N., Bode, S., Burianová, H. and Cunnington, R.

Journal: Frontiers in Human Neuroscience

Volume: 11

ISSN: 1662-5161

Abstract:

There is evidence that neural patterns are predictive of voluntary decisions, but findings come from paradigms that have typically required participants to make arbitrary choices decisions in highly abstract experimental tasks. It remains to be seen whether proactive neural activity reflects upcoming choices for individuals performing decisions in more complex, dynamic, scenarios. In this functional Magnetic Resonance Imaging (fMRI) study, we investigated proactive neural activity for voluntary decisions compared with instructed decisions in a virtual environment, which more closely mimicked a real-world decision. Using partial least squares (PLS) analysis, we found that the frontoparietal and salience networks were associated with voluntary choice selection from a time at which decisions were abstract and preceded external stimuli. Using multi-voxel pattern analysis (MVPA), we showed that participants’ choices, which were decodable from motor and visual cortices, could be predicted with lower accuracy for voluntary decisions than for instructed decisions. This corresponded to eye-tracking data showing that participants made a greater number of fixations to alternative options during voluntary choices, which might have resulted in less stable choice representations. These findings suggest that voluntary decisions engage proactive choice selection, and that upcoming choices are encoded in neural representations even while individuals continue to consider their options in the environment.

http://eprints.bournemouth.ac.uk/34323/

Source: BURO EPrints