Multivariate dekodierung von fMRT-daten: Auf dem weg zu einer inhaltsbasierten kognitiven neurowissenschaft

Jakob Heinzle; Silke Anders; Stefan Bode; Carsten Bogler; Yi Chen; Radoslaw M. Cichy; Kerstin Hackmack; Thorsten Kahnt; Christian Kalberlah; Carlo Reverberi; Chun Siong Soon; Anita Tusche; Martin Weygandt; John Dylan Haynes

Multivariate dekodierung von fMRT-daten: Auf dem weg zu einer inhaltsbasierten kognitiven neurowissenschaft

Translated title of the contribution: Multivariate decoding of fMRI data: On the way to a contents-based cognitive neuroscience

Jakob Heinzle, Silke Anders, Stefan Bode, Carsten Bogler, Yi Chen, Radoslaw M. Cichy, Kerstin Hackmack, Thorsten Kahnt, Christian Kalberlah, Carlo Reverberi, Chun Siong Soon, Anita Tusche, Martin Weygandt, John Dylan Haynes

Psychology

Research output: Contribution to journal › Review article › peer-review

Abstract

The advent of functional magnetic resonance imaging (fMRI) of brain function 20 years ago has provided a new methodology for non-invasive measurement of brain function that is now widely used in cognitive neuroscience. Traditionally, fMRI data has been analyzed looking for overall activity changes in brain regions in response to a stimulus or a cognitive task. Now, recent developments have introduced more elaborate, content-based analysis techniques. When multivariate decoding is applied to the detailed patterning of regionally-specific fMRI signals, it can be used to assess the amount of information these encode about specific task-variables. Here we provide an overview over several developments, spanning from applications in cognitive neuroscience (perception, attention, reward, decision making, emotional communication) to methodology (information flow, surface-based searchlight decoding) and medical diagnostics.

Translated title of the contribution	Multivariate decoding of fMRI data: On the way to a contents-based cognitive neuroscience
Original language	German
Pages (from-to)	160-177
Number of pages	18
Journal	Neuroforum
Volume	18
Issue number	1
State	Published - Feb 2012

Keywords

Decision making
Functional neuroimaging
Information flow
Multivariate decodierung
Perceptional learning

ASJC Scopus subject areas

Neurology
Clinical Neurology

Cite this

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title = "Multivariate dekodierung von fMRT-daten: Auf dem weg zu einer inhaltsbasierten kognitiven neurowissenschaft",

abstract = "The advent of functional magnetic resonance imaging (fMRI) of brain function 20 years ago has provided a new methodology for non-invasive measurement of brain function that is now widely used in cognitive neuroscience. Traditionally, fMRI data has been analyzed looking for overall activity changes in brain regions in response to a stimulus or a cognitive task. Now, recent developments have introduced more elaborate, content-based analysis techniques. When multivariate decoding is applied to the detailed patterning of regionally-specific fMRI signals, it can be used to assess the amount of information these encode about specific task-variables. Here we provide an overview over several developments, spanning from applications in cognitive neuroscience (perception, attention, reward, decision making, emotional communication) to methodology (information flow, surface-based searchlight decoding) and medical diagnostics.",

keywords = "Decision making, Functional neuroimaging, Information flow, Multivariate decodierung, Perceptional learning",

author = "Jakob Heinzle and Silke Anders and Stefan Bode and Carsten Bogler and Yi Chen and Cichy, {Radoslaw M.} and Kerstin Hackmack and Thorsten Kahnt and Christian Kalberlah and Carlo Reverberi and Soon, {Chun Siong} and Anita Tusche and Martin Weygandt and Haynes, {John Dylan}",

year = "2012",

month = feb,

language = "German",

volume = "18",

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journal = "Neuroforum",

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T2 - Auf dem weg zu einer inhaltsbasierten kognitiven neurowissenschaft

AU - Heinzle, Jakob

AU - Anders, Silke

AU - Bode, Stefan

AU - Bogler, Carsten

AU - Chen, Yi

AU - Cichy, Radoslaw M.

AU - Hackmack, Kerstin

AU - Kahnt, Thorsten

AU - Kalberlah, Christian

AU - Reverberi, Carlo

AU - Soon, Chun Siong

AU - Tusche, Anita

AU - Weygandt, Martin

AU - Haynes, John Dylan

PY - 2012/2

Y1 - 2012/2

N2 - The advent of functional magnetic resonance imaging (fMRI) of brain function 20 years ago has provided a new methodology for non-invasive measurement of brain function that is now widely used in cognitive neuroscience. Traditionally, fMRI data has been analyzed looking for overall activity changes in brain regions in response to a stimulus or a cognitive task. Now, recent developments have introduced more elaborate, content-based analysis techniques. When multivariate decoding is applied to the detailed patterning of regionally-specific fMRI signals, it can be used to assess the amount of information these encode about specific task-variables. Here we provide an overview over several developments, spanning from applications in cognitive neuroscience (perception, attention, reward, decision making, emotional communication) to methodology (information flow, surface-based searchlight decoding) and medical diagnostics.

AB - The advent of functional magnetic resonance imaging (fMRI) of brain function 20 years ago has provided a new methodology for non-invasive measurement of brain function that is now widely used in cognitive neuroscience. Traditionally, fMRI data has been analyzed looking for overall activity changes in brain regions in response to a stimulus or a cognitive task. Now, recent developments have introduced more elaborate, content-based analysis techniques. When multivariate decoding is applied to the detailed patterning of regionally-specific fMRI signals, it can be used to assess the amount of information these encode about specific task-variables. Here we provide an overview over several developments, spanning from applications in cognitive neuroscience (perception, attention, reward, decision making, emotional communication) to methodology (information flow, surface-based searchlight decoding) and medical diagnostics.

KW - Decision making

KW - Functional neuroimaging

KW - Information flow

KW - Multivariate decodierung

KW - Perceptional learning

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M3 - Review article

AN - SCOPUS:84863343620

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VL - 18

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JO - Neuroforum

JF - Neuroforum

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Multivariate dekodierung von fMRT-daten: Auf dem weg zu einer inhaltsbasierten kognitiven neurowissenschaft

Abstract

Keywords

ASJC Scopus subject areas

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