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Here, we aimed to investigate how those changes differ in early adulthood and how they might relate to cognition.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>We investigated the effects of genetic risk factors of AD, namely <jats:italic>APOEe4<\/jats:italic> and <jats:italic>MAPTA<\/jats:italic> alleles, on resting-state functional connectivity in a cohort of 129 cognitively intact young adults (aged 17\u201322\u00a0years). We used Independent Component Analysis to identify networks of interest, and Gaussian Random Field Theory to compare connectivity between groups. Seed-based analysis was used to quantify inter-regional connectivity strength from the clusters that exhibited significant between-group differences. To investigate the relationship with cognition, we correlated the connectivity and the performance on the Stroop task.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>The analysis revealed a decrease in functional connectivity in the Default Mode Network (DMN) in both <jats:italic>APOEe4<\/jats:italic> carriers and <jats:italic>MAPTA<\/jats:italic> carriers in comparison with non-carriers. <jats:italic>APOEe4<\/jats:italic> carriers showed decreased connectivity in the right angular gyrus (size\u2009=\u2009246, p-FDR\u2009=\u20090.0079), which was correlated with poorer performance on the Stroop task. <jats:italic>MAPTA<\/jats:italic> carriers showed decreased connectivity in the left middle temporal gyrus (size\u2009=\u2009546, p-FDR\u2009=\u20090.0001). In addition, we found that only <jats:italic>MAPTA<\/jats:italic> carriers had a decreased connectivity between the\u00a0DMN and multiple other brain regions.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>Our findings indicate that <jats:italic>APOEe4<\/jats:italic> and <jats:italic>MAPTA<\/jats:italic> alleles modulate brain functional connectivity in the brain regions within the DMN in cognitively intact young adults. <jats:italic>APOEe4<\/jats:italic> carriers also showed a link between connectivity and cognition.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1007\/s00415-023-11809-9","type":"journal-article","created":{"date-parts":[[2023,6,26]],"date-time":"2023-06-26T12:02:26Z","timestamp":1687780946000},"page":"4949-4958","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Genetic risk factors of Alzheimer\u2019s Disease disrupt resting-state functional connectivity in cognitively intact young individuals"],"prefix":"10.1007","volume":"270","author":[{"given":"Ludmila","family":"Kucikova","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianmin","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carlos","family":"Mu\u00f1oz-Neira","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Graciela","family":"Muniz-Terrera","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weijie","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sarah","family":"Gregory","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Craig","family":"Ritchie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John","family":"O\u2019Brien","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6347-3986","authenticated-orcid":false,"given":"Li","family":"Su","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,6,26]]},"reference":[{"issue":"2","key":"11809_CR1","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1016\/S1474-4422(12)70291-0","volume":"12","author":"CR Jack","year":"2013","unstructured":"Jack CR et al (2013) Tracking pathophysiological processes in Alzheimer\u2019s disease: an updated hypothetical model of dynamic biomarkers. 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LS\u2019s participation is funded by Alzheimer's Research UK Senior Research Fellowship (ARUK-SRF2017B-1), NIHR Sheffield Biomedical Research Centre. JZ, CMN, GMT, and WH have no financial conflicts of interests to disclose. JOB has acted as a consultant for TauRx, Novo Nordisk, Biogen, Roche, Lilly and GE Healthcare and received grant or academic support from Avid\/ Lilly, Merck and Alliance Medical. CR is the founder of Scottish Brain Sciences, and acted as a consultant for Biogen, Eisai, MSD, Actinogen, Roche, and Eli Lilly, and received payment or honoraria from Roche and Eisai in the past. SG acted as a consultant for Scottish Brain Sciences.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interest"}},{"value":"The study was approved by the Human Ethics Committee for Psychological Research at Southwest University (H17036). All participants provided informed consent.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}