Academic Journal
Task-based functional connectivity is sufficient to capture individual differences in functional selectivity across multiple cortical systems.
| Τίτλος: | Task-based functional connectivity is sufficient to capture individual differences in functional selectivity across multiple cortical systems. |
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| Συγγραφείς: | Liao I; Department of Psychology, The Ohio State University, Columbus, Ohio, USA. Electronic address: liao.798@osu.edu., Saygin ZM; Department of Psychology, The Ohio State University, Columbus, Ohio, USA., Ginell KM; Department of Psychology, The Ohio State University, Columbus, Ohio, USA., Kay KN; Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA., Osher DE; Department of Psychology, The Ohio State University, Columbus, Ohio, USA. |
| Πηγή: | NeuroImage [Neuroimage] 2026 Oct 15; Vol. 340, pp. 122211. Date of Electronic Publication: 2026 Sep 09. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Academic Press Country of Publication: United States NLM ID: 9215515 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-9572 (Electronic) Linking ISSN: 10538119 NLM ISO Abbreviation: Neuroimage Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Orlando, FL : Academic Press, c1992- |
| Ιατρικοί όροι (MeSH): | Magnetic Resonance Imaging*/methods , Brain Mapping*/methods , Nerve Net*/physiology , Nerve Net*/diagnostic imaging , Brain*/physiology , Cerebral Cortex*/physiology , Connectome*/methods , Individuality*, Memory, Short-Term/physiology ; Neural Pathways/physiology ; Humans ; Male ; Female ; Adult ; Young Adult |
| Περίληψη: | Most studies of brain networks use resting-state fMRI to characterize the brain's intrinsic functional organization. However, recent work has questioned whether we should rely exclusively on resting-state data to define this organization. Using a connectivity fingerprint modeling framework, we test whether functional connectivity estimated from task fMRI data can predict task selectivity in visual, language, and spatial working memory tasks, at the individual subject level. We find that connectivity derived from these task contexts predicts responses comparably to connectivity derived from resting-state data. This pattern held across the three controlled cognitive localizers acquired within the same preprocessing framework. These findings suggest that task fMRI can capture fine-grained individual differences in brain network architecture that are comparable to those captured at rest, broadening the potential utility of task data for investigating functional organization of brain networks. (Copyright © 2026 The Authors. Published by Elsevier Inc. All rights reserved.) |
| Competing Interests: | Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. |
| Contributed Indexing: | Keywords: Connectivity fingerprinting; Functional connectivity; Resting-state; Task fMRI |
| Entry Date(s): | Date Created: 20260909 Date Completed: 20260929 Latest Revision: 20260929 |
| Update Code: | 20260930 |
| DOI: | 10.1016/j.neuroimage.2026.122211 |
| PMID: | 42716360 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 1095-9572 |
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| DOI: | 10.1016/j.neuroimage.2026.122211 |