Academic Journal
Replicability of Functional Brain Networks: A Study Through the Lens of Seven Resting-State Networks.
| Title: | Replicability of Functional Brain Networks: A Study Through the Lens of Seven Resting-State Networks. |
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| Authors: | Fales KR; Department of Statistics, Pennsylvania State University, University Park, Pennsylvania, USA., Zhi X; Department of Statistics, Pennsylvania State University, University Park, Pennsylvania, USA., Song H; Department of Statistics, Pennsylvania State University, University Park, Pennsylvania, USA., Lazar NA; Department of Statistics, Pennsylvania State University, University Park, Pennsylvania, USA.; Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, Pennsylvania, USA. |
| Source: | Human brain mapping [Hum Brain Mapp] 2026 Jun 01; Vol. 47 (8), pp. e70559. |
| Publication Type: | Journal Article |
| Language: | English |
| Journal Info: | Publisher: Wiley Country of Publication: United States NLM ID: 9419065 Publication Model: Print Cited Medium: Internet ISSN: 1097-0193 (Electronic) Linking ISSN: 10659471 NLM ISO Abbreviation: Hum Brain Mapp Subsets: MEDLINE |
| Imprint Name(s): | Publication: New York : Wiley Original Publication: New York : Wiley-Liss, c1993- |
| MeSH Terms: | Magnetic Resonance Imaging*/methods , Magnetic Resonance Imaging*/standards , Nerve Net*/physiology , Nerve Net*/diagnostic imaging , Connectome*/standards , Connectome*/methods , Brain*/physiology , Brain*/diagnostic imaging , Image Processing, Computer-Assisted*/methods , Image Processing, Computer-Assisted*/standards , Default Mode Network*/diagnostic imaging , Default Mode Network*/physiology, Humans ; Rest |
| Abstract: | The study of brain networks is essential for improving our understanding of how the human brain functions. Functional connectivity (FC) analysis is a widely used approach for studying co-activating patterns among brain regions by estimating their temporal dependencies and constructing an undirected network. Data processing is critical before estimating a subject's functional network, but the absence of a standardized procedure serves as a source of heterogeneity in results, especially in multi-site studies. Commonly studied functional networks include the default mode, sensorimotor, visual, salience, dorsal attention, frontoparietal, and language networks. These networks are stable and still exhibit intrinsic activation when an individual is at rest, making them ideal networks to focus on for studying how processing choices affect the replicability of functional connectivity networks. We use the aforementioned seven networks to assess the impact of various processing choices, including preprocessing pipeline, band-pass filtering, and brain parcellation, on the replicability of functional connectivity estimates for multi-site resting-state fMRI (rs-fMRI) data from the Autism Brain Imaging Data Exchange (ABIDE). Finally, we provide some practical recommendations for how researchers should proceed with processing choices in the face of these effects. (© 2026 The Author(s). Human Brain Mapping published by Wiley Periodicals LLC.) |
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| Contributed Indexing: | Keywords: band‐pass filtering; brain parcellation; data preprocessing; functional connectivity; functional network; replicability; resting‐state fMRI |
| Entry Date(s): | Date Created: 20260609 Date Completed: 20260613 Latest Revision: 20260726 |
| Update Code: | 20260726 |
| PubMed Central ID: | PMC13247136 |
| DOI: | 10.1002/hbm.70559 |
| PMID: | 42260753 |
| Database: | MEDLINE |
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