{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T20:55:35Z","timestamp":1791320135855,"version":"4.3.1"},"reference-count":48,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2022,7,19]],"date-time":"2022-07-19T00:00:00Z","timestamp":1658188800000},"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. Aging Neurosci."],"abstract":"<jats:p>Alzheimer\u2019s disease (AD) is the most common form of dementia, with no cure to stop its progression. Early detection, diagnosis, and intervention have become the hot spots in AD research. The long asymptomatic and slightly symptomatic phases of autosomal dominant AD (ADAD) allow studies to explore early biomarkers and the underlying pathophysiological changes. Functional magnetic resonance imaging (fMRI) provides a method to detect abnormal patterns of brain activity and functional connectivity <jats:italic>in vivo<\/jats:italic>, which correlates with cognitive decline earlier than structural changes and more strongly than amyloid deposition. Here, we will provide a brief overview of the network-level findings in ADAD in fMRI studies. In general, abnormalities in brain activity were mainly found in the hippocampus, the medial temporal lobe (MTL), the posterior cortex, the cingulate cortices, and the frontal regions in ADAD. Moreover, ADAD and sporadic AD (SAD) have similar fMRI changes, but not with aging.<\/jats:p>","DOI":"10.3389\/fnagi.2022.903269","type":"journal-article","created":{"date-parts":[[2022,7,19]],"date-time":"2022-07-19T07:43:23Z","timestamp":1658216603000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Neural Networks in Autosomal Dominant Alzheimer\u2019s Disease: Insights From Functional Magnetic Resonance Imaging Studies"],"prefix":"10.3389","volume":"14","author":[{"given":"Qiongqiong","family":"Qiu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2022,7,19]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1016\/S1474-4422(10)70323-9","article-title":"Pre-dementia clinical stages in presenilin 1 E280A familial early-onset Alzheimer\u2019s disease: a retrospective cohort study.","volume":"10","author":"Acosta-Baena","year":"2011","journal-title":"Lancet Neurol."},{"key":"B2","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1016\/j.nbd.2018.11.010","article-title":"Early functional connectivity deficits and progressive microstructural alterations in the TgF344-AD rat model of Alzheimer\u2019s Disease: A longitudinal MRI study.","volume":"124","author":"Anckaerts","year":"2019","journal-title":"Neurobiol. 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