{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T11:52:37Z","timestamp":1782301957540,"version":"3.54.5"},"reference-count":37,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T00:00:00Z","timestamp":1780963200000},"content-version":"vor","delay-in-days":8,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100003196","name":"Ministero della Salute","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003196","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Neuroscience Research"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Although functional connectomics typically relies on resting\u2010state fMRI, its analytical methods have been applied to task fMRI data in the investigation of broader involvements of brain regions even if inactive during a specific task. The purpose of this study is to assess the feasibility of inferring a true resting\u2010state connectivity from task\u2010fMRI data and to investigate the impact of connectomic\u2010based analysis on behavioral trait studies. To this purpose, subjects underwent two visual\n                    <jats:styled-content style=\"fixed-case\">fMRI<\/jats:styled-content>\n                    tasks. The Blood\u2010Oxygen\u2010Level\u2010Dependent (\n                    <jats:styled-content style=\"fixed-case\">BOLD<\/jats:styled-content>\n                    ) time\u2010series were processed to get both a \u201ctask\u201d condition and a \u201cpseudo\u2010resting\u201d condition applying different task regression setups to derive connectomes. Stimulus\u2010classification experiments were conducted to compare \u201ctask\u201d and \u201cpseudo\u2010resting\u201d connectomes. Additionally, the influence of task regression was assessed through a classification experiment comparing children with Developmental Dyslexia (\n                    <jats:styled-content style=\"fixed-case\">DD<\/jats:styled-content>\n                    ) and Typical Readers (\n                    <jats:styled-content style=\"fixed-case\">TR<\/jats:styled-content>\n                    ). While task regression successfully removes task\u2010related content from fMRI signals, stimulus information could still be inferred from connectomes, regardless of the preprocessing method used. Furthermore, a Support Vector Machine (SVM) experiment effectively discriminates between DD and TR in both \u201ctask\u201d and \u201cpseudo\u2010resting\u201d conditions. The study explored the impact of preprocessing in task fMRI experiments analyzed with connectomics. The ability to classify the stimuli in \u201cpseudo\u2010resting\u201d conditions suggests that connectomes retain task\u2010related signals even after task regression. Discriminative connections vary across tasks, affecting how classifiers differentiate between DD and TR. Despite these task\u2010related differences, preprocessing had no effect on the inference of classification rules, indicating that key features are similarly evaluated in both tasks.\n                  <\/jats:p>","DOI":"10.1002\/jnr.70132","type":"journal-article","created":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T04:42:22Z","timestamp":1781066542000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["An Examination of Task\u2010Evoked\n                    <scp>fMRI<\/scp>\n                    Data Processing in Functional Connectivity"],"prefix":"10.1002","volume":"104","author":[{"given":"Alice","family":"Giubergia","sequence":"first","affiliation":[{"name":"Neuroimaging Unit Scientific Institute IRCCS Eugenio Medea  Bosisio Parini Italy"},{"name":"Department of Information Engineering University of Padova  Padova Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sara","family":"Mascheretti","sequence":"additional","affiliation":[{"name":"Department of Brain and Behavioral Sciences University of Pavia  Pavia Italy"},{"name":"Child Psychopathology Unit Scientific Institute IRCCS Eugenio Medea  Bosisio Parini Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Valentina","family":"Lampis","sequence":"additional","affiliation":[{"name":"Department of Brain and Behavioral Sciences University of Pavia  Pavia Italy"},{"name":"Child Psychopathology Unit Scientific Institute IRCCS Eugenio Medea  Bosisio Parini Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tommaso","family":"Ciceri","sequence":"additional","affiliation":[{"name":"Neuroimaging Unit Scientific Institute IRCCS Eugenio Medea  Bosisio Parini Italy"},{"name":"Department of Information Engineering University of Padova  Padova Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1776-5582","authenticated-orcid":false,"given":"Martina","family":"Villa","sequence":"additional","affiliation":[{"name":"Department of Psychological Sciences University of Connecticut  Storrs Connecticut USA"},{"name":"Institute for the Brain and Cognitive Sciences (IBACS) University of Connecticut  Storrs Connecticut USA"},{"name":"Haskins Laboratories  New Haven Connecticut USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chiara","family":"Andreola","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Paris Cit\u00e9, Laboratoire de Psychologie de D\u00e9veloppement et de L'\u00e9ducation de L'enfant  Paris France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Filippo","family":"Arrigoni","sequence":"additional","affiliation":[{"name":"Buzzi Children's Hospital  Milan Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alessandra","family":"Bertoldo","sequence":"additional","affiliation":[{"name":"Department of Information Engineering University of Padova  Padova Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9480-379X","authenticated-orcid":false,"given":"Denis","family":"Peruzzo","sequence":"additional","affiliation":[{"name":"Neuroimaging Unit Scientific Institute IRCCS Eugenio Medea  Bosisio Parini Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,6,9]]},"reference":[{"key":"e_1_2_14_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/J.CMPB.2021.105954"},{"key":"e_1_2_14_3_1","doi-asserted-by":"publisher","DOI":"10.3174\/ajnr.A2330"},{"key":"e_1_2_14_4_1","doi-asserted-by":"crossref","unstructured":"Arfanakis K. 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