{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,3]],"date-time":"2026-09-03T23:08:04Z","timestamp":1788476884774,"version":"build-2803163510"},"reference-count":56,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2024,11,13]],"date-time":"2024-11-13T00:00:00Z","timestamp":1731456000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Neurosci."],"abstract":"<jats:p>The brain consists of a vastly interconnected network of regions, the connectome. By estimating the statistical interdependence of neurophysiological time series, we can measure the functional connectivity (FC) of this connectome. Pearson\u2019s correlation (<jats:italic>r<\/jats:italic><jats:sub>P<\/jats:sub>) is a common metric of coupling in FC studies. Yet <jats:italic>r<\/jats:italic><jats:sub>P<\/jats:sub> does not account properly for the non-stationarity of the signals recorded in neuroimaging. In this study, we introduced a novel estimator of coupled dynamics termed multiscale detrended cross-correlation coefficient (MDC<jats:sub>3<\/jats:sub>). Firstly, we showed that MDC<jats:sub>3<\/jats:sub> had higher accuracy compared to <jats:italic>r<\/jats:italic><jats:sub>P<\/jats:sub> and lagged covariance using simulated time series with known coupling, as well as simulated functional magnetic resonance imaging (fMRI) signals with known underlying structural connectivity. Next, we computed functional brain networks based on empirical magnetoencephalography (MEG) and fMRI. We found that by using MDC<jats:sub>3<\/jats:sub> we could construct networks of healthy populations with significantly different properties compared to <jats:italic>r<\/jats:italic><jats:sub>P<\/jats:sub> networks. Based on our results, we believe that MDC<jats:sub>3<\/jats:sub> is a valid alternative to <jats:italic>r<\/jats:italic><jats:sub>P<\/jats:sub> that should be incorporated in future FC studies.<\/jats:p>","DOI":"10.3389\/fnins.2024.1422085","type":"journal-article","created":{"date-parts":[[2024,11,13]],"date-time":"2024-11-13T11:29:50Z","timestamp":1731497390000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Multiscale detrended cross-correlation coefficient: estimating coupling in non-stationary neurophysiological signals"],"prefix":"10.3389","volume":"18","author":[{"given":"Orestis","family":"Stylianou","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gianluca","family":"Susi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Martin","family":"Hoffmann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Isabel","family":"Su\u00e1rez-M\u00e9ndez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"L\u00f3pez-Sanz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Schirner","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Petra","family":"Ritter","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2024,11,13]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"335","DOI":"10.3758\/BF03334037","article-title":"A note on averaging correlations","volume":"28","author":"Alexander","year":"1990","journal-title":"Bull. 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