Influences on the Test–Retest Reliability of Functional Connectivity MRI and its Relationship with Behavioral Utility. (12th September 2017)
- Record Type:
- Journal Article
- Title:
- Influences on the Test–Retest Reliability of Functional Connectivity MRI and its Relationship with Behavioral Utility. (12th September 2017)
- Main Title:
- Influences on the Test–Retest Reliability of Functional Connectivity MRI and its Relationship with Behavioral Utility
- Authors:
- Noble, Stephanie
Spann, Marisa N
Tokoglu, Fuyuze
Shen, Xilin
Constable, R Todd
Scheinost, Dustin - Abstract:
- Abstract: Best practices are currently being developed for the acquisition and processing of resting-state magnetic resonance imaging data used to estimate brain functional organization—or "functional connectivity." Standards have been proposed based on test–retest reliability, but open questions remain. These include how amount of data per subject influences whole-brain reliability, the influence of increasing runs versus sessions, the spatial distribution of reliability, the reliability of multivariate methods, and, crucially, how reliability maps onto prediction of behavior. We collected a dataset of 12 extensively sampled individuals (144 min data each across 2 identically configured scanners) to assess test–retest reliability of whole-brain connectivity within the generalizability theory framework. We used Human Connectome Project data to replicate these analyses and relate reliability to behavioral prediction. Overall, the historical 5-min scan produced poor reliability averaged across connections. Increasing the number of sessions was more beneficial than increasing runs. Reliability was lowest for subcortical connections and highest for within-network cortical connections. Multivariate reliability was greater than univariate. Finally, reliability could not be used to improve prediction; these findings are among the first to underscore this distinction for functional connectivity. A comprehensive understanding of test–retest reliability, including its limitations,Abstract: Best practices are currently being developed for the acquisition and processing of resting-state magnetic resonance imaging data used to estimate brain functional organization—or "functional connectivity." Standards have been proposed based on test–retest reliability, but open questions remain. These include how amount of data per subject influences whole-brain reliability, the influence of increasing runs versus sessions, the spatial distribution of reliability, the reliability of multivariate methods, and, crucially, how reliability maps onto prediction of behavior. We collected a dataset of 12 extensively sampled individuals (144 min data each across 2 identically configured scanners) to assess test–retest reliability of whole-brain connectivity within the generalizability theory framework. We used Human Connectome Project data to replicate these analyses and relate reliability to behavioral prediction. Overall, the historical 5-min scan produced poor reliability averaged across connections. Increasing the number of sessions was more beneficial than increasing runs. Reliability was lowest for subcortical connections and highest for within-network cortical connections. Multivariate reliability was greater than univariate. Finally, reliability could not be used to improve prediction; these findings are among the first to underscore this distinction for functional connectivity. A comprehensive understanding of test–retest reliability, including its limitations, supports the development of best practices in the field. … (more)
- Is Part Of:
- Cerebral cortex. Volume 27:Number 11(2017)
- Journal:
- Cerebral cortex
- Issue:
- Volume 27:Number 11(2017)
- Issue Display:
- Volume 27, Issue 11 (2017)
- Year:
- 2017
- Volume:
- 27
- Issue:
- 11
- Issue Sort Value:
- 2017-0027-0011-0000
- Page Start:
- 5415
- Page End:
- 5429
- Publication Date:
- 2017-09-12
- Subjects:
- behavioral prediction -- multivariate -- resting state functional connectivity -- test–retest reliability -- whole brain
Cerebral cortex -- Periodicals
Brain -- Periodicals
612.825 - Journal URLs:
- http://cercor.oupjournals.org ↗
http://cercor.oxfordjournals.org ↗
http://www.ncbi.nlm.nih.gov/pmc/?term=%22Cereb ↗
http://ukcatalogue.oup.com/ ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1093/cercor/bhx230 ↗
- Languages:
- English
- ISSNs:
- 1047-3211
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3120.027550
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20842.xml