A new model for dynamic mapping of effective connectivity in task fMRI.
Brain Res Bull
; 212: 110938, 2024 Jun 15.
Article
in En
| MEDLINE
| ID: mdl-38641153
ABSTRACT
Whole-brain dynamic functional connectivity is a growing area in neuroimaging research, encompassing data-driven methods for investigating how large-scale brain networks dynamically reorganize during resting states. However, this approach has been rarely applied to functional magnetic resonance imaging (fMRI) data acquired during task performance. In this study, we first combined the psychophysiological interactions (PPI) and sliding-window methods to analyze dynamic effective connectivity of fMRI data obtained from subjects performing the N-back task within the Human Connectome Project dataset. We then proposed a hypothetical model called Condition Activated Specific Trajectory (CAST) to represent a series of spatiotemporal synchronous changes in significantly activated connections across time windows, which we refer to as a trajectory. Our finding demonstrate that the CAST model outperforms other models in terms of intra-group consistency of individual spatial pattern of PPI connectivity, overall representational ability of temporal variability and hierarchy for individual task performance and cognitive traits. This dynamic view afforded by the CAST model reflects the intrinsic nature of coherent brain activities.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Brain
/
Magnetic Resonance Imaging
/
Connectome
Limits:
Adult
/
Female
/
Humans
/
Male
Language:
En
Journal:
Brain Res Bull
/
Brain res. bull
/
Brain research bulletin
Year:
2024
Document type:
Article
Country of publication:
Estados Unidos