The Simpson's paradox and fMRI: Similarities and differences between functional connectivity measures derived from within-subject and across-subject correlations
Task-related functional connectivity (fc-MRI) indexes the interaction of brain regions during cognitive tasks. Two general classes of methods exist to investigate fc-MRI: the most widely-used method calculates temporal correlations between voxels/regions within subjects, and then determines if withi...
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description | Task-related functional connectivity (fc-MRI) indexes the interaction of brain regions during cognitive tasks. Two general classes of methods exist to investigate fc-MRI: the most widely-used method calculates temporal correlations between voxels/regions within subjects, and then determines if within-subject correlations are reliable across subjects (ws-fcMRI); the other calculates the average (BOLD) signal within voxels/regions and then performs correlations across subjects (as-fcMRI). That is, while both methods rely on correlational techniques, the level at which correlations are calculated is fundamentally different. While conceptually distinct, it is not known how well these two methods of fc-MRI analyses converge on the same findings. The current study addresses this question across a number of analyses. First, using default-mode network regions as seeds, we show that as-fcMRI does not strongly predict ws-fcMRI during episodic simulation tasks. Next, we show that the relationship between as-fcMRI and ws-fcMRI is contingent on whether correlations are calculated between regions from the same functional network (default mode or dorsal attention networks) or between regions from different functional networks. Lastly, we compare seed partial least squares (PLS) – a well-established as-fcMRI method – with a novel version of seed PLS that combines the multivariate approach of PLS analyses and within-subject correlations. The results showed that while many regions exhibited congruent as-fcMRI and ws-fcMRI effects, in some regions the two analyses produced effects in opposite directions. Results are discussed in relation to the Simpson's Paradox, a phenomenon in which across-subject correlations are reversed within individuals present in a sample. Overall, our results suggest that the findings of as-fcMRI do not always map onto those from ws-fcMRI. We end by discussing the advantages associated with using ws-fcMRI to assess the task-related interactions between brain regions.
•Functional connectivity (fc-MRI) is indexed by within- and across-subject correlations.•The two forms of fc-MRI show a weak to moderate relationship.•A novel within-subject fc-MRI analysis is introduced using PLS (ws-seed PLS).•ws-seed PLS is compared to standard seed PLS showing similarities and differences.•Results show different fc-MRI analyses on the same data can produce opposite effects. |
doi_str_mv | 10.1016/j.neuroimage.2016.04.028 |
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•Functional connectivity (fc-MRI) is indexed by within- and across-subject correlations.•The two forms of fc-MRI show a weak to moderate relationship.•A novel within-subject fc-MRI analysis is introduced using PLS (ws-seed PLS).•ws-seed PLS is compared to standard seed PLS showing similarities and differences.•Results show different fc-MRI analyses on the same data can produce opposite effects.</description><identifier>ISSN: 1053-8119</identifier><identifier>EISSN: 1095-9572</identifier><identifier>DOI: 10.1016/j.neuroimage.2016.04.028</identifier><identifier>PMID: 27101735</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adolescent ; Adult ; Algorithms ; Brain ; Brain - physiology ; Cognition - physiology ; Connectome - methods ; Data Interpretation, Statistical ; Episodic SIMULATION ; Female ; Functional connectivity ; Humans ; Image Enhancement - methods ; Image Interpretation, Computer-Assisted - methods ; Magnetic Resonance Imaging - methods ; Male ; Multivariate analysis ; Nerve Net - physiology ; Seed PLS ; Seeds ; Sensitivity and Specificity ; Simpson's paradox ; Statistics as Topic ; Young Adult</subject><ispartof>NeuroImage (Orlando, Fla.), 2016-07, Vol.135, p.1-15</ispartof><rights>2016 Elsevier Inc.</rights><rights>Copyright © 2016 Elsevier Inc. All rights reserved.</rights><rights>Copyright Elsevier Limited Jul 15, 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c435t-d64df9c6629ad2579db7c396ccbde5b820e8c3132b0e9f9a5ee2c59b4d8daecc3</citedby><cites>FETCH-LOGICAL-c435t-d64df9c6629ad2579db7c396ccbde5b820e8c3132b0e9f9a5ee2c59b4d8daecc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/1800690076?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995,64385,64387,64389,72469</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27101735$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Roberts, Reece P.</creatorcontrib><creatorcontrib>Hach, Sylvia</creatorcontrib><creatorcontrib>Tippett, Lynette J.</creatorcontrib><creatorcontrib>Addis, Donna Rose</creatorcontrib><title>The Simpson's paradox and fMRI: Similarities and differences between functional connectivity measures derived from within-subject and across-subject correlations</title><title>NeuroImage (Orlando, Fla.)</title><addtitle>Neuroimage</addtitle><description>Task-related functional connectivity (fc-MRI) indexes the interaction of brain regions during cognitive tasks. Two general classes of methods exist to investigate fc-MRI: the most widely-used method calculates temporal correlations between voxels/regions within subjects, and then determines if within-subject correlations are reliable across subjects (ws-fcMRI); the other calculates the average (BOLD) signal within voxels/regions and then performs correlations across subjects (as-fcMRI). That is, while both methods rely on correlational techniques, the level at which correlations are calculated is fundamentally different. While conceptually distinct, it is not known how well these two methods of fc-MRI analyses converge on the same findings. The current study addresses this question across a number of analyses. First, using default-mode network regions as seeds, we show that as-fcMRI does not strongly predict ws-fcMRI during episodic simulation tasks. Next, we show that the relationship between as-fcMRI and ws-fcMRI is contingent on whether correlations are calculated between regions from the same functional network (default mode or dorsal attention networks) or between regions from different functional networks. Lastly, we compare seed partial least squares (PLS) – a well-established as-fcMRI method – with a novel version of seed PLS that combines the multivariate approach of PLS analyses and within-subject correlations. The results showed that while many regions exhibited congruent as-fcMRI and ws-fcMRI effects, in some regions the two analyses produced effects in opposite directions. Results are discussed in relation to the Simpson's Paradox, a phenomenon in which across-subject correlations are reversed within individuals present in a sample. Overall, our results suggest that the findings of as-fcMRI do not always map onto those from ws-fcMRI. We end by discussing the advantages associated with using ws-fcMRI to assess the task-related interactions between brain regions.
•Functional connectivity (fc-MRI) is indexed by within- and across-subject correlations.•The two forms of fc-MRI show a weak to moderate relationship.•A novel within-subject fc-MRI analysis is introduced using PLS (ws-seed PLS).•ws-seed PLS is compared to standard seed PLS showing similarities and differences.•Results show different fc-MRI analyses on the same data can produce opposite effects.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Algorithms</subject><subject>Brain</subject><subject>Brain - physiology</subject><subject>Cognition - physiology</subject><subject>Connectome - methods</subject><subject>Data Interpretation, Statistical</subject><subject>Episodic SIMULATION</subject><subject>Female</subject><subject>Functional connectivity</subject><subject>Humans</subject><subject>Image Enhancement - methods</subject><subject>Image Interpretation, Computer-Assisted - methods</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Multivariate analysis</subject><subject>Nerve Net - physiology</subject><subject>Seed PLS</subject><subject>Seeds</subject><subject>Sensitivity and Specificity</subject><subject>Simpson's paradox</subject><subject>Statistics as Topic</subject><subject>Young Adult</subject><issn>1053-8119</issn><issn>1095-9572</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkc1u1TAQhSMEoqXwCsgSC9gk-CdObHZQlbZSUaVS1pZjT6ijxL7YyW37OLwpzr2lSGy6smfmmzPSOUWBCK4IJs3HofKwxOAm_RMqmjsVritMxbPikGDJS8lb-nz9c1YKQuRB8SqlAWMsSS1eFge0zTIt44fF7-sbQN_dtEnBv09oo6O24Q5pb1H_7er80zpzo45udpB2bev6HiJ4k-sO5lsAj_rFm9kFr0dkgveQi62b79EEOi0xgxai20LWjGFCt26-cb5MSzdkcieqTQwpPbZMiBFGvUqm18WLXo8J3jy8R8WPryfXx2flxeXp-fHni9LUjM-lbWrbS9M0VGpLeStt1xomG2M6C7wTFIMwjDDaYZC91ByAGi672gqrwRh2VHzY625i-LVAmtXkkoFx1B7CkhQRWDRMUsmfRlsppOSNYBl99x86hCVmo3aCuJEYt02mxJ7a2RChV5uYw433imC1Jq4G9S9xtSaucK1y4nn17cOBpZvAPi7-jTgDX_YAZPO2DqJKxq3xWRez18oG9_SVPxHlxm4</recordid><startdate>20160715</startdate><enddate>20160715</enddate><creator>Roberts, Reece P.</creator><creator>Hach, Sylvia</creator><creator>Tippett, Lynette J.</creator><creator>Addis, Donna Rose</creator><general>Elsevier Inc</general><general>Elsevier Limited</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>RC3</scope><scope>7X8</scope><scope>7QO</scope></search><sort><creationdate>20160715</creationdate><title>The Simpson's paradox and fMRI: Similarities and differences between functional connectivity measures derived from within-subject and across-subject correlations</title><author>Roberts, Reece P. ; 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Two general classes of methods exist to investigate fc-MRI: the most widely-used method calculates temporal correlations between voxels/regions within subjects, and then determines if within-subject correlations are reliable across subjects (ws-fcMRI); the other calculates the average (BOLD) signal within voxels/regions and then performs correlations across subjects (as-fcMRI). That is, while both methods rely on correlational techniques, the level at which correlations are calculated is fundamentally different. While conceptually distinct, it is not known how well these two methods of fc-MRI analyses converge on the same findings. The current study addresses this question across a number of analyses. First, using default-mode network regions as seeds, we show that as-fcMRI does not strongly predict ws-fcMRI during episodic simulation tasks. Next, we show that the relationship between as-fcMRI and ws-fcMRI is contingent on whether correlations are calculated between regions from the same functional network (default mode or dorsal attention networks) or between regions from different functional networks. Lastly, we compare seed partial least squares (PLS) – a well-established as-fcMRI method – with a novel version of seed PLS that combines the multivariate approach of PLS analyses and within-subject correlations. The results showed that while many regions exhibited congruent as-fcMRI and ws-fcMRI effects, in some regions the two analyses produced effects in opposite directions. Results are discussed in relation to the Simpson's Paradox, a phenomenon in which across-subject correlations are reversed within individuals present in a sample. Overall, our results suggest that the findings of as-fcMRI do not always map onto those from ws-fcMRI. We end by discussing the advantages associated with using ws-fcMRI to assess the task-related interactions between brain regions.
•Functional connectivity (fc-MRI) is indexed by within- and across-subject correlations.•The two forms of fc-MRI show a weak to moderate relationship.•A novel within-subject fc-MRI analysis is introduced using PLS (ws-seed PLS).•ws-seed PLS is compared to standard seed PLS showing similarities and differences.•Results show different fc-MRI analyses on the same data can produce opposite effects.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>27101735</pmid><doi>10.1016/j.neuroimage.2016.04.028</doi><tpages>15</tpages></addata></record> |
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subjects | Adolescent Adult Algorithms Brain Brain - physiology Cognition - physiology Connectome - methods Data Interpretation, Statistical Episodic SIMULATION Female Functional connectivity Humans Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Magnetic Resonance Imaging - methods Male Multivariate analysis Nerve Net - physiology Seed PLS Seeds Sensitivity and Specificity Simpson's paradox Statistics as Topic Young Adult |
title | The Simpson's paradox and fMRI: Similarities and differences between functional connectivity measures derived from within-subject and across-subject correlations |
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