{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T00:42:43Z","timestamp":1760143363587,"version":"build-2065373602"},"reference-count":33,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T00:00:00Z","timestamp":1705536000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Facultad de Ingenier\u00eda of Universidad de Santiago de Chile (FING-USACH)"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Entropy"],"abstract":"<jats:p>The brain is a fundamental organ for the human body to function properly, for which it needs to receive a continuous flow of blood, which explains the existence of control mechanisms that act to maintain this flow as constant as possible in a process known as cerebral autoregulation. One way to obtain information on how the levels of oxygen supplied to the brain vary is through of BOLD (Magnetic Resonance) images, which have the advantage of greater spatial resolution than other forms of measurement, such as transcranial Doppler. However, they do not provide good temporal resolution nor allow for continuous prolonged examination. Thus, it is of great importance to find a method to detect regional differences from short BOLD signals. One of the existing alternatives is complexity measures that can detect changes in the variability and temporal organisation of a signal that could reflect different physiological states. The so-called statistical complexity, created to overcome the shortcomings of entropy alone to explain the concept of complexity, has shown potential with haemodynamic signals. The aim of this study is to determine by using statistical complexity whether it is possible to find differences between physiologically distinct brain areas in healthy individuals. The data set includes BOLD images of 10 people obtained at the University Hospital of Leicester NHS Trust with a 1.5 Tesla magnetic resonance imaging scanner. The data were captured for 180 s at a frequency of 1 Hz. Using various combinations of statistical complexities, no differences were found between hemispheres. However, differences were detected between grey matter and white matter, indicating that these measurements are sensitive to differences in brain tissues.<\/jats:p>","DOI":"10.3390\/e26010081","type":"journal-article","created":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T06:41:22Z","timestamp":1705560082000},"page":"81","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Exploring Physiological Differences in Brain Areas Using Statistical Complexity Analysis of BOLD Signals"],"prefix":"10.3390","volume":"26","author":[{"given":"Catalina","family":"Morales-Rojas","sequence":"first","affiliation":[{"name":"Departamento de Ingenier\u00eda Inform\u00e1tica, Facultad de Ingenier\u00eda, Universidad de Santiago de Chile, Santiago 9170022, Chile"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6983-8707","authenticated-orcid":false,"given":"Ronney B.","family":"Panerai","sequence":"additional","affiliation":[{"name":"Department of Cardiovascular Sciences, University of Leicester, Leicester LE1 7RH, UK"},{"name":"NIHR Leicester Biomedical Research Centre, British Heart Foundation Cardiovascular Research Centre, Glenfield Hospital, Leicester LE3 9QP, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3348-7017","authenticated-orcid":false,"given":"Jos\u00e9 Luis","family":"Jara","sequence":"additional","affiliation":[{"name":"Departamento de Ingenier\u00eda Inform\u00e1tica, Facultad de Ingenier\u00eda, Universidad de Santiago de Chile, Santiago 9170022, Chile"}]}],"member":"1968","published-online":{"date-parts":[[2024,1,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.earlhumdev.2010.01.029","article-title":"Monitoring of cerebral haemodynamics in newborn infants","volume":"86","author":"Liem","year":"2010","journal-title":"Early Hum. 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