Advancing functional connectivity research from association to causation
Cognition and behavior emerge from brain network interactions, such that investigating causal interactions should be central to the study of brain function. Approaches that characterize statistical associations among neural time series-functional connectivity (FC) methods-are likely a good starting...
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| Vydané v: | Nature neuroscience Ročník 22; číslo 11; s. 1751 - 1760 |
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| Hlavní autori: | , , , , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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United States
Nature Publishing Group
01.11.2019
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| ISSN: | 1097-6256, 1546-1726, 1546-1726 |
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| Abstract | Cognition and behavior emerge from brain network interactions, such that investigating causal interactions should be central to the study of brain function. Approaches that characterize statistical associations among neural time series-functional connectivity (FC) methods-are likely a good starting point for estimating brain network interactions. Yet only a subset of FC methods ('effective connectivity') is explicitly designed to infer causal interactions from statistical associations. Here we incorporate best practices from diverse areas of FC research to illustrate how FC methods can be refined to improve inferences about neural mechanisms, with properties of causal neural interactions as a common ontology to facilitate cumulative progress across FC approaches. We further demonstrate how the most common FC measures (correlation and coherence) reduce the set of likely causal models, facilitating causal inferences despite major limitations. Alternative FC measures are suggested to immediately start improving causal inferences beyond these common FC measures. |
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| AbstractList | Cognition and behavior emerge from brain network interactions, such that investigating causal interactions should be central to the study of brain function. Approaches that characterize statistical associations among neural time series—functional connectivity (FC) methods—are likely a good starting point for estimating brain network interactions. Yet only a subset of FC methods (‘effective connectivity’) is explicitly designed to infer causal interactions from statistical associations. Here we incorporate best practices from diverse areas of FC research to illustrate how FC methods can be refined to improve inferences about neural mechanisms, with properties of causal neural interactions as a common ontology to facilitate cumulative progress across FC approaches. We further demonstrate how the most common FC measures (correlation and coherence) reduce the set of likely causal models, facilitating causal inferences despite major limitations. Alternative FC measures are suggested to immediately start improving causal inferences beyond these common FC measures. Cognition and behavior emerge from brain network interactions, such that investigating causal interactions should be central to the study of brain function. Approaches that characterize statistical associations among neural time series-functional connectivity (FC) methods-are likely a good starting point for estimating brain network interactions. Yet only a subset of FC methods ('effective connectivity') is explicitly designed to infer causal interactions from statistical associations. Here we incorporate best practices from diverse areas of FC research to illustrate how FC methods can be refined to improve inferences about neural mechanisms, with properties of causal neural interactions as a common ontology to facilitate cumulative progress across FC approaches. We further demonstrate how the most common FC measures (correlation and coherence) reduce the set of likely causal models, facilitating causal inferences despite major limitations. Alternative FC measures are suggested to immediately start improving causal inferences beyond these common FC measures.Cognition and behavior emerge from brain network interactions, such that investigating causal interactions should be central to the study of brain function. Approaches that characterize statistical associations among neural time series-functional connectivity (FC) methods-are likely a good starting point for estimating brain network interactions. Yet only a subset of FC methods ('effective connectivity') is explicitly designed to infer causal interactions from statistical associations. Here we incorporate best practices from diverse areas of FC research to illustrate how FC methods can be refined to improve inferences about neural mechanisms, with properties of causal neural interactions as a common ontology to facilitate cumulative progress across FC approaches. We further demonstrate how the most common FC measures (correlation and coherence) reduce the set of likely causal models, facilitating causal inferences despite major limitations. Alternative FC measures are suggested to immediately start improving causal inferences beyond these common FC measures. |
| Author | Hanson, Stephen José Cole, Michael W Poldrack, Russell A Sanchez-Romero, Ruben Valdés-Sosa, Pedro A Reid, Andrew T Lurie, Daniel J Uddin, Lucina Q Marinazzo, Daniele Mill, Ravi D Biswal, Bharat B Calhoun, Vince Headley, Drew B |
| Author_xml | – sequence: 1 givenname: Andrew T surname: Reid fullname: Reid, Andrew T organization: School of Psychology, University of Nottingham, Nottingham, UK – sequence: 2 givenname: Drew B surname: Headley fullname: Headley, Drew B organization: Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ, USA – sequence: 3 givenname: Ravi D surname: Mill fullname: Mill, Ravi D organization: Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ, USA – sequence: 4 givenname: Ruben surname: Sanchez-Romero fullname: Sanchez-Romero, Ruben organization: Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ, USA – sequence: 5 givenname: Lucina Q surname: Uddin fullname: Uddin, Lucina Q organization: Neuroscience Program, University of Miami Miller School of Medicine, Miami, FL, USA – sequence: 6 givenname: Daniele surname: Marinazzo fullname: Marinazzo, Daniele organization: Department of Data Analysis, Ghent University, Ghent, Belgium – sequence: 7 givenname: Daniel J surname: Lurie fullname: Lurie, Daniel J organization: Department of Psychology, University of California, Berkeley, Berkeley, CA, USA – sequence: 8 givenname: Pedro A surname: Valdés-Sosa fullname: Valdés-Sosa, Pedro A organization: Cuban Neuroscience Center, La Habana, Cuba – sequence: 9 givenname: Stephen José surname: Hanson fullname: Hanson, Stephen José organization: RUBIC & Department of Psychology, Rutgers University, Newark, NJ, USA – sequence: 10 givenname: Bharat B surname: Biswal fullname: Biswal, Bharat B organization: Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA – sequence: 11 givenname: Vince orcidid: 0000-0001-9058-0747 surname: Calhoun fullname: Calhoun, Vince organization: Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) [Georgia State University, Georgia Institute of Technology, Emory University], Atlanta, GA, USA – sequence: 12 givenname: Russell A orcidid: 0000-0001-6755-0259 surname: Poldrack fullname: Poldrack, Russell A organization: Department of Psychology, Stanford University, Stanford, CA, USA – sequence: 13 givenname: Michael W orcidid: 0000-0003-4329-438X surname: Cole fullname: Cole, Michael W email: mwcole@mwcole.net organization: Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ, USA. mwcole@mwcole.net |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31611705$$D View this record in MEDLINE/PubMed |
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