Time-resolved effective connectivity in task fMRI: Psychophysiological interactions of Co-Activation patterns
Investigating context-dependent modulations of Functional Connectivity (FC) with functional magnetic resonance imaging is crucial to reveal the neurological underpinnings of cognitive processing. Most current analysis methods hypothesise sustained FC within the duration of a task, but this assumptio...
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| Format: | Article |
| Language: | English |
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Elsevier
2020-05-01
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| Series: | NeuroImage |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811920301221 |
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| author | Lorena G.A. Freitas Thomas A.W. Bolton Benjamin E. Krikler Delphine Jochaut Anne-Lise Giraud Petra S. Hüppi Dimitri Van De Ville |
| author_facet | Lorena G.A. Freitas Thomas A.W. Bolton Benjamin E. Krikler Delphine Jochaut Anne-Lise Giraud Petra S. Hüppi Dimitri Van De Ville |
| author_sort | Lorena G.A. Freitas |
| collection | DOAJ |
| description | Investigating context-dependent modulations of Functional Connectivity (FC) with functional magnetic resonance imaging is crucial to reveal the neurological underpinnings of cognitive processing. Most current analysis methods hypothesise sustained FC within the duration of a task, but this assumption has been shown too limiting by recent imaging studies. While several methods have been proposed to study functional dynamics during rest, task-based studies are yet to fully disentangle network modulations.Here, we propose a seed-based method to probe task-dependent modulations of brain activity by revealing Psychophysiological Interactions of Co-activation Patterns (PPI-CAPs). This point process-based approach temporally decomposes task-modulated connectivity into dynamic building blocks which cannot be captured by current methods, such as PPI or Dynamic Causal Modelling. Additionally, it identifies the occurrence of co-activation patterns at single frame resolution as opposed to window-based methods.In a naturalistic setting where participants watched a TV program, we retrieved several patterns of co-activation with a posterior cingulate cortex seed whose occurrence rates and polarity varied depending on the context; on the seed activity; or on an interaction between the two. Moreover, our method exposed the consistency in effective connectivity patterns across subjects and time, allowing us to uncover links between PPI-CAPs and specific stimuli contained in the video.Our study reveals that explicitly tracking connectivity pattern transients is paramount to advance our understanding of how different brain areas dynamically communicate when presented with a set of cues. |
| first_indexed | 2024-12-11T19:45:38Z |
| format | Article |
| id | doaj.art-c7ece299c2404684abbaf28a51d521b2 |
| institution | Directory Open Access Journal |
| issn | 1095-9572 |
| language | English |
| last_indexed | 2024-12-11T19:45:38Z |
| publishDate | 2020-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj.art-c7ece299c2404684abbaf28a51d521b22022-12-22T00:52:55ZengElsevierNeuroImage1095-95722020-05-01212116635Time-resolved effective connectivity in task fMRI: Psychophysiological interactions of Co-Activation patternsLorena G.A. Freitas0Thomas A.W. Bolton1Benjamin E. Krikler2Delphine Jochaut3Anne-Lise Giraud4Petra S. Hüppi5Dimitri Van De Ville6Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Switzerland; Department of Radiology and Medical Informatics, University of Geneva, Switzerland; Division of Development and Growth, Department of Pediatrics, University of Geneva, Switzerland; Corresponding author. Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Switzerland.Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Switzerland; Department of Radiology and Medical Informatics, University of Geneva, SwitzerlandDepartment of Physics, University of Bristol, United KingdomDepartment of Basic Neurosciences, University of Geneva, SwitzerlandDepartment of Basic Neurosciences, University of Geneva, SwitzerlandDivision of Development and Growth, Department of Pediatrics, University of Geneva, SwitzerlandInstitute of Bioengineering, École Polytechnique Fédérale de Lausanne, Switzerland; Department of Radiology and Medical Informatics, University of Geneva, SwitzerlandInvestigating context-dependent modulations of Functional Connectivity (FC) with functional magnetic resonance imaging is crucial to reveal the neurological underpinnings of cognitive processing. Most current analysis methods hypothesise sustained FC within the duration of a task, but this assumption has been shown too limiting by recent imaging studies. While several methods have been proposed to study functional dynamics during rest, task-based studies are yet to fully disentangle network modulations.Here, we propose a seed-based method to probe task-dependent modulations of brain activity by revealing Psychophysiological Interactions of Co-activation Patterns (PPI-CAPs). This point process-based approach temporally decomposes task-modulated connectivity into dynamic building blocks which cannot be captured by current methods, such as PPI or Dynamic Causal Modelling. Additionally, it identifies the occurrence of co-activation patterns at single frame resolution as opposed to window-based methods.In a naturalistic setting where participants watched a TV program, we retrieved several patterns of co-activation with a posterior cingulate cortex seed whose occurrence rates and polarity varied depending on the context; on the seed activity; or on an interaction between the two. Moreover, our method exposed the consistency in effective connectivity patterns across subjects and time, allowing us to uncover links between PPI-CAPs and specific stimuli contained in the video.Our study reveals that explicitly tracking connectivity pattern transients is paramount to advance our understanding of how different brain areas dynamically communicate when presented with a set of cues.http://www.sciencedirect.com/science/article/pii/S1053811920301221PPI-CAPsDynamic functional connectivity (dFC)Task fMRIPsychophysiological interaction (PPI)Co-activation patterns (CAPs)Framewise analysis |
| spellingShingle | Lorena G.A. Freitas Thomas A.W. Bolton Benjamin E. Krikler Delphine Jochaut Anne-Lise Giraud Petra S. Hüppi Dimitri Van De Ville Time-resolved effective connectivity in task fMRI: Psychophysiological interactions of Co-Activation patterns NeuroImage PPI-CAPs Dynamic functional connectivity (dFC) Task fMRI Psychophysiological interaction (PPI) Co-activation patterns (CAPs) Framewise analysis |
| title | Time-resolved effective connectivity in task fMRI: Psychophysiological interactions of Co-Activation patterns |
| title_full | Time-resolved effective connectivity in task fMRI: Psychophysiological interactions of Co-Activation patterns |
| title_fullStr | Time-resolved effective connectivity in task fMRI: Psychophysiological interactions of Co-Activation patterns |
| title_full_unstemmed | Time-resolved effective connectivity in task fMRI: Psychophysiological interactions of Co-Activation patterns |
| title_short | Time-resolved effective connectivity in task fMRI: Psychophysiological interactions of Co-Activation patterns |
| title_sort | time resolved effective connectivity in task fmri psychophysiological interactions of co activation patterns |
| topic | PPI-CAPs Dynamic functional connectivity (dFC) Task fMRI Psychophysiological interaction (PPI) Co-activation patterns (CAPs) Framewise analysis |
| url | http://www.sciencedirect.com/science/article/pii/S1053811920301221 |
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