{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,28]],"date-time":"2026-10-28T11:07:46Z","timestamp":1793185666980,"version":"4.5.0"},"reference-count":128,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neuroscience &amp; Biobehavioral Reviews"],"published-print":{"date-parts":[[2021,10]]},"DOI":"10.1016\/j.neubiorev.2021.07.024","type":"journal-article","created":{"date-parts":[[2021,7,24]],"date-time":"2021-07-24T06:42:38Z","timestamp":1627108958000},"page":"142-153","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":42,"special_numbering":"C","title":["Resting-state brain connectivity in healthy young and middle-aged adults at risk of progressive Alzheimer\u2019s disease"],"prefix":"10.1016","volume":"129","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0769-9542","authenticated-orcid":false,"given":"Ludmila","family":"Kucikova","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7814-1802","authenticated-orcid":false,"given":"Jantje","family":"Goerdten","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8287-346X","authenticated-orcid":false,"given":"Maria-Eleni","family":"Dounavi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elijah","family":"Mak","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Su","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Adam D.","family":"Waldman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Samuel","family":"Danso","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Graciela","family":"Muniz-Terrera","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6202-6906","authenticated-orcid":false,"given":"Craig W.","family":"Ritchie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"2","key":"10.1016\/j.neubiorev.2021.07.024_bib0005","doi-asserted-by":"crossref","first-page":"e17","DOI":"10.1371\/journal.pcbi.0030017","article-title":"Efficiency and cost of economical brain functional networks","volume":"3","author":"Achard","year":"2007","journal-title":"PLoS Comput. Biol."},{"issue":"8","key":"10.1016\/j.neubiorev.2021.07.024_bib0010","doi-asserted-by":"crossref","first-page":"1564","DOI":"10.1016\/j.neurobiolaging.2011.06.007","article-title":"Resting state fMRI in Alzheimer\u2019s disease: beyond the default mode network","volume":"33","author":"Agosta","year":"2012","journal-title":"Neurobiol. Aging"},{"issue":"9","key":"10.1016\/j.neubiorev.2021.07.024_bib0015","doi-asserted-by":"crossref","first-page":"2471","DOI":"10.1111\/ejn.13717","article-title":"Effects of spatial smoothing on functional brain networks","volume":"46","author":"Alak\u00f6rkk\u00f6","year":"2017","journal-title":"Eur. J. Neurosci."},{"issue":"2","key":"10.1016\/j.neubiorev.2021.07.024_bib0020","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1176\/ajp.154.2.165","article-title":"Association of premorbid intellectual function with cerebral metabolism in Alzheimer\u2019s disease: implications for the cognitive reserve hypothesis","volume":"154","author":"Alexander","year":"1997","journal-title":"Am. J. Psychiatry"},{"issue":"21","key":"10.1016\/j.neubiorev.2021.07.024_bib0025","doi-asserted-by":"crossref","DOI":"10.1073\/pnas.200327197","article-title":"Classes of small-world networks","volume":"97","author":"Amaral","year":"2000","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"issue":"4","key":"10.1016\/j.neubiorev.2021.07.024_bib0030","doi-asserted-by":"crossref","first-page":"550","DOI":"10.1016\/j.neuron.2010.02.005","article-title":"Functional-anatomic fractionation of the brain\u2019s default network","volume":"65","author":"Andrews-Hanna","year":"2010","journal-title":"Neuron"},{"issue":"2","key":"10.1016\/j.neubiorev.2021.07.024_bib0035","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1109\/TMI.2003.822821","article-title":"Probabilistic independent component analysis for functional magnetic resonance imaging","volume":"23","author":"Beckmann","year":"2004","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"1995","key":"10.1016\/j.neubiorev.2021.07.024_bib0040","first-page":"1","article-title":"Decomposing FMRI data using ICA","volume":"1","author":"Beckmann","year":"2005","journal-title":"Magn. Reson. Imaging"},{"key":"10.1016\/j.neubiorev.2021.07.024_bib0045","doi-asserted-by":"crossref","first-page":"S148","DOI":"10.1016\/S1053-8119(09)71511-3","article-title":"Group comparison of resting-state FMRI data using multi-subject ICA and dual regression","volume":"47","author":"Beckmann","year":"2009","journal-title":"NeuroImage"},{"key":"10.1016\/j.neubiorev.2021.07.024_bib0050","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1016\/j.neuroimage.2014.07.067","article-title":"Changes in structural and functional connectivity among resting-state networks across the human lifespan","volume":"102","author":"Betzel","year":"2014","journal-title":"Neuroimage"},{"issue":"4","key":"10.1016\/j.neubiorev.2021.07.024_bib0055","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1002\/mrm.1910340409","article-title":"Functional connectivity in the motor cortex of resting human brain using echo\u2010planar MRI","volume":"34","author":"Biswal","year":"1995","journal-title":"Magn. Reson. Med."},{"issue":"10","key":"10.1016\/j.neubiorev.2021.07.024_bib0060","doi-asserted-by":"crossref","first-page":"2506","DOI":"10.1016\/j.neurobiolaging.2011.10.031","article-title":"Granulin mutation drives brain damage and reorganization from preclinical to symptomatic FTLD","volume":"33","author":"Borroni","year":"2012","journal-title":"Neurobiol. Aging"},{"issue":"7810","key":"10.1016\/j.neubiorev.2021.07.024_bib0065","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1038\/s41586-020-2314-9","article-title":"Variability in the analysis of a single neuroimaging dataset by many teams","volume":"582","author":"Botvinik-Nezer","year":"2020","journal-title":"Nature"},{"issue":"1","key":"10.1016\/j.neubiorev.2021.07.024_bib0070","doi-asserted-by":"crossref","first-page":"243","DOI":"10.3233\/JAD-141824","article-title":"The impact of cognitive reserve on brain functional connectivity in Alzheimer\u2019s disease","volume":"44","author":"Bozzali","year":"2015","journal-title":"J. Alzheimer\u2019s Dis."},{"issue":"3","key":"10.1016\/j.neubiorev.2021.07.024_bib0075","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1016\/0197-4580(95)00021-6","article-title":"Staging of Alzheimer\u2019s disease-related neurofibrillary changes","volume":"16","author":"Braak","year":"1995","journal-title":"Neurobiol. Aging"},{"issue":"26","key":"10.1016\/j.neubiorev.2021.07.024_bib0080","doi-asserted-by":"crossref","first-page":"8890","DOI":"10.1523\/JNEUROSCI.5698-11.2012","article-title":"Loss of intranetwork and internetwork resting state functional connections with Alzheimer\u2019s disease progression","volume":"32","author":"Brier","year":"2012","journal-title":"J. Neurosci."},{"issue":"10","key":"10.1016\/j.neubiorev.2021.07.024_bib0085","doi-asserted-by":"crossref","first-page":"593","DOI":"10.1038\/s41583-019-0212-7","article-title":"The brain\u2019s default network: updated anatomy, physiology and evolving insights","volume":"20","author":"Buckner","year":"2019","journal-title":"Nat. Rev. Neurosci."},{"issue":"Supplement 2","key":"10.1016\/j.neubiorev.2021.07.024_bib0090","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1162\/089892900564046","article-title":"Functional brain imaging of young, nondemented, and demented older adults","volume":"12","author":"Buckner","year":"2000","journal-title":"J. Cogn. Neurosci."},{"issue":"34","key":"10.1016\/j.neubiorev.2021.07.024_bib0095","doi-asserted-by":"crossref","first-page":"7709","DOI":"10.1523\/JNEUROSCI.2177-05.2005","article-title":"Molecular, structural, and functional characterization of Alzheimer\u2019s disease: evidence for a relationship between default activity, amyloid, and memory","volume":"25","author":"Buckner","year":"2005","journal-title":"J. Neurosci."},{"key":"10.1016\/j.neubiorev.2021.07.024_bib0100","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1196\/annals.1440.011","article-title":"The brain\u2019s default network: anatomy, function, and relevance to disease","volume":"1124","author":"Buckner","year":"2008","journal-title":"Ann. N. Y. Acad. Sci."},{"issue":"3","key":"10.1016\/j.neubiorev.2021.07.024_bib0105","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1038\/nrn2575","article-title":"Complex brain networks: graph theoretical analysis of structural and functional systems","volume":"10","author":"Bullmore","year":"2009","journal-title":"Nat. Rev. Neurosci."},{"issue":"1 Suppl","key":"10.1016\/j.neubiorev.2021.07.024_bib0110","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/j.neuroimage.2008.10.057","article-title":"A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data","volume":"45","author":"Calhoun","year":"2009","journal-title":"NeuroImage"},{"issue":"1","key":"10.1016\/j.neubiorev.2021.07.024_bib0115","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1016\/j.neuroimage.2012.07.004","article-title":"The secret lives of experiments: methods reporting in the fMRI literature","volume":"63","author":"Carp","year":"2012","journal-title":"Neuroimage"},{"issue":"7","key":"10.1016\/j.neubiorev.2021.07.024_bib0120","doi-asserted-by":"crossref","first-page":"401","DOI":"10.1089\/brain.2017.0509","article-title":"Interactions of the salience network and its subsystems with the default-mode and the central-executive networks in normal aging and mild cognitive impairment","volume":"7","author":"Chand","year":"2017","journal-title":"Brain Connect."},{"issue":"May","key":"10.1016\/j.neubiorev.2021.07.024_bib0125","first-page":"1","article-title":"DPARSF: a MATLAB toolbox for \u201cpipeline\u201d data analysis of resting-state fMRI","volume":"4","author":"Chao-Gan","year":"2010","journal-title":"Front. Syst. Neurosci."},{"issue":"8","key":"10.1016\/j.neubiorev.2021.07.024_bib0130","doi-asserted-by":"crossref","first-page":"736","DOI":"10.1212\/WNL.0b013e3182a1aafe","article-title":"Impaired default network functional connectivity in autosomal dominant Alzheimer disease","volume":"81","author":"Chhatwal","year":"2013","journal-title":"Neurology"},{"issue":"8","key":"10.1016\/j.neubiorev.2021.07.024_bib0135","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1016\/j.tins.2017.06.002","article-title":"Revolution of resting-state functional neuroimaging genetics in Alzheimer\u2019s disease","volume":"40","author":"Chiesa","year":"2017","journal-title":"Trends Neurosci."},{"issue":"1","key":"10.1016\/j.neubiorev.2021.07.024_bib0140","first-page":"1","article-title":"Blind source separation and independent component analysis: a review","volume":"6","author":"Choi","year":"2005","journal-title":"Neural Inform. Process.-Lett. Rev."},{"issue":"April","key":"10.1016\/j.neubiorev.2021.07.024_bib0145","first-page":"1","article-title":"Advances and pitfalls in the analysis and interpretation of resting-state FMRI data","volume":"4","author":"Cole","year":"2010","journal-title":"Front. Syst. Neurosci."},{"issue":"5","key":"10.1016\/j.neubiorev.2021.07.024_bib0150","doi-asserted-by":"crossref","first-page":"616","DOI":"10.1002\/acn3.560","article-title":"Progranulin levels in blood in Alzheimer\u2019s disease and mild cognitive impairment","volume":"5","author":"Cooper","year":"2018","journal-title":"Ann. Clin. Transl. Neurol."},{"issue":"9","key":"10.1016\/j.neubiorev.2021.07.024_bib0155","first-page":"1636","article-title":"Mapping functionally related regions of brain with functional connectivity MR imaging","volume":"21","author":"Cordes","year":"2000","journal-title":"Am. J. Neuroradiol."},{"issue":"7","key":"10.1016\/j.neubiorev.2021.07.024_bib0160","first-page":"1326","article-title":"Frequencies contributing to functional connectivity in the cerebral cortex in \u201cresting-state\u201d data","volume":"22","author":"Cordes","year":"2001","journal-title":"Am. J. Neuroradiol."},{"key":"10.1016\/j.neubiorev.2021.07.024_bib0165","series-title":"Computational Diffusion MRI","first-page":"55","article-title":"Algebraic connectivity of brain networks shows patterns of segregation leading to reduced network robustness in Alzheimer\u2019s disease","author":"Daianu","year":"2014"},{"issue":"1","key":"10.1016\/j.neubiorev.2021.07.024_bib0170","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/1471-2202-10-101","article-title":"Functional neural network analysis in frontotemporal dementia and Alzheimer\u2019s disease using EEG and graph theory","volume":"10","author":"de Haan","year":"2009","journal-title":"BMC Neurosci."},{"issue":"2","key":"10.1016\/j.neubiorev.2021.07.024_bib0175","doi-asserted-by":"crossref","first-page":"e19","DOI":"10.1212\/WNL.0000000000000583","article-title":"Structural and functional brain connectivity in presymptomatic familial frontotemporal dementia","volume":"83","author":"Dopper","year":"2014","journal-title":"Neurology"},{"issue":"5","key":"10.1016\/j.neubiorev.2021.07.024_bib0180","doi-asserted-by":"crossref","first-page":"614","DOI":"10.1002\/nbm.3502","article-title":"Structural and resting-state MRI detects regional brain differences in young and mid-age healthy APOE-e4 carriers compared with non-APOE-e4 carriers","volume":"29","author":"Dowell","year":"2016","journal-title":"NMR Biomed."},{"issue":"June","key":"10.1016\/j.neubiorev.2021.07.024_bib0185","first-page":"1926","article-title":"Neuronal oscillations in cortical networks","volume":"304","author":"Draguhn","year":"2004","journal-title":"Science"},{"issue":"3","key":"10.1016\/j.neubiorev.2021.07.024_bib0190","doi-asserted-by":"crossref","first-page":"292","DOI":"10.1016\/j.jalz.2016.02.002","article-title":"Preclinical Alzheimer\u2019s disease: definition, natural history, and diagnostic criteria","volume":"12","author":"Dubois","year":"2016","journal-title":"Alzheimer\u2019s Dement."},{"issue":"1","key":"10.1016\/j.neubiorev.2021.07.024_bib0195","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1038\/s41592-018-0235-4","article-title":"fMRIPrep: a robust preprocessing pipeline for functional MRI","volume":"16","author":"Esteban","year":"2019","journal-title":"Nat. Methods"},{"issue":"7","key":"10.1016\/j.neubiorev.2021.07.024_bib0200","doi-asserted-by":"crossref","first-page":"1549","DOI":"10.1093\/brain\/awh166","article-title":"In the course of time: a PET study of the cerebral substrates of autobiographical amnesia in Alzheimer\u2019s disease","volume":"127","author":"Eustache","year":"2004","journal-title":"Brain"},{"key":"10.1016\/j.neubiorev.2021.07.024_bib0205","series-title":"1993 IEEE Conference Record Nuclear Science Symposium and Medical Imaging Conference","first-page":"1813","article-title":"3D statistical neuroanatomical models from 305 MRI volumes","author":"Evans","year":"1993"},{"issue":"1","key":"10.1016\/j.neubiorev.2021.07.024_bib0210","doi-asserted-by":"crossref","DOI":"10.1186\/s12883-019-1567-0","article-title":"Multimodal MRI of grey matter, white matter, and functional connectivity in cognitively healthy mutation carriers at risk for frontotemporal dementia and Alzheimer\u2019s disease","volume":"19","author":"Feis","year":"2019","journal-title":"BMC Neurol."},{"issue":"17","key":"10.1016\/j.neubiorev.2021.07.024_bib0215","doi-asserted-by":"crossref","first-page":"7209","DOI":"10.1073\/pnas.0811879106","article-title":"Distinct patterns of brain activity in young carriers of the APOE- \u03b5 4 allele","volume":"106","author":"Filippini","year":"2009","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"issue":"4","key":"10.1016\/j.neubiorev.2021.07.024_bib0220","doi-asserted-by":"crossref","first-page":"1678","DOI":"10.1016\/j.neuroimage.2009.06.021","article-title":"NeuroImage Resting-state BOLD networks versus task-associated functional MRI for distinguishing Alzheimer\u2019 s disease risk groups","volume":"47","author":"Fleisher","year":"2009","journal-title":"NeuroImage"},{"issue":"3","key":"10.1016\/j.neubiorev.2021.07.024_bib0225","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1006\/nimg.1995.1025","article-title":"The mind\u2019s eye\u2014recuneus activation in memory-related imagery","volume":"2","author":"Fletcher","year":"1995","journal-title":"NeuroImage"},{"issue":"7084","key":"10.1016\/j.neubiorev.2021.07.024_bib0230","doi-asserted-by":"crossref","first-page":"680","DOI":"10.1038\/nature04587","article-title":"Reverse replay of behavioural sequences in hippocampal place cells during the awake state","volume":"440","author":"Foster","year":"2006","journal-title":"Nature"},{"issue":"9","key":"10.1016\/j.neubiorev.2021.07.024_bib0235","doi-asserted-by":"crossref","first-page":"700","DOI":"10.1038\/nrn2201","article-title":"Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging","volume":"8","author":"Fox","year":"2007","journal-title":"Nat. Rev. Neurosci."},{"issue":"26","key":"10.1016\/j.neubiorev.2021.07.024_bib0240","doi-asserted-by":"crossref","first-page":"10046","DOI":"10.1073\/pnas.0604187103","article-title":"Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems","volume":"103","author":"Fox","year":"2006","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"issue":"5951","key":"10.1016\/j.neubiorev.2021.07.024_bib0245","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1126\/science.1174521","article-title":"Modalities, modes, and models in functional neuroimaging","volume":"326","author":"Friston","year":"2009","journal-title":"Science"},{"issue":"7","key":"10.1016\/j.neubiorev.2021.07.024_bib0250","doi-asserted-by":"crossref","first-page":"2978","DOI":"10.1002\/hbm.22379","article-title":"Functional connectivity changes differ in early and late-onset Alzheimer\u2019s disease","volume":"35","author":"Gour","year":"2014","journal-title":"Hum. Brain Mapp."},{"issue":"2","key":"10.1016\/j.neubiorev.2021.07.024_bib0255","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0055902","article-title":"Functional network endophenotypes unravel the effects of apolipoprotein e epsilon 4 in middle-aged adults","volume":"8","author":"Goveas","year":"2013","journal-title":"PLoS One"},{"issue":"1","key":"10.1016\/j.neubiorev.2021.07.024_bib0260","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1073\/pnas.0135058100","article-title":"Functional connectivity in the resting brain: a network analysis of the default mode hypothesis","volume":"100","author":"Greicius","year":"2003","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"issue":"13","key":"10.1016\/j.neubiorev.2021.07.024_bib0265","doi-asserted-by":"crossref","first-page":"4637","DOI":"10.1073\/pnas.0308627101","article-title":"Default-mode network activity distinguishes Alzheimer\u2019s disease from healthy aging: evidence from functional MRI","volume":"101","author":"Greicius","year":"2004","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"issue":"3","key":"10.1016\/j.neubiorev.2021.07.024_bib0270","doi-asserted-by":"crossref","first-page":"1078","DOI":"10.1016\/j.neuroimage.2008.05.008","article-title":"A unified framework for group independent component analysis for multi-subject fMRI data","volume":"42","author":"Guo","year":"2008","journal-title":"NeuroImage"},{"issue":"10","key":"10.1016\/j.neubiorev.2021.07.024_bib0275","doi-asserted-by":"crossref","first-page":"685","DOI":"10.1038\/35094500","article-title":"Searching for a baseline: functional imaging and the resting human brain","volume":"2","author":"Gusnard","year":"2001","journal-title":"Nat. Rev. Neurosci."},{"key":"10.1016\/j.neubiorev.2021.07.024_bib0280","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1016\/j.arr.2017.03.004","article-title":"Functional neuroimaging findings in healthy middle-aged adults at risk of Alzheimer\u2019s disease","volume":"36","author":"Habib","year":"2017","journal-title":"Ageing Res. Rev."},{"key":"10.1016\/j.neubiorev.2021.07.024_bib0285","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1016\/j.neuroimage.2013.05.011","article-title":"Selectively and progressively disrupted structural connectivity of functional brain networks in Alzheimer\u2019s disease\u2014revealed by a novel framework to analyze edge distributions of networks detecting disruptions with strong statistical evidence","volume":"81","author":"Hahn","year":"2013","journal-title":"Neuroimage"},{"key":"10.1016\/j.neubiorev.2021.07.024_bib0290","doi-asserted-by":"crossref","DOI":"10.7554\/eLife.56601","article-title":"Hyperalignment: modeling shared information encoded in idiosyncratic cortical topographies","volume":"9","author":"Haxby","year":"2020","journal-title":"Elife"},{"key":"10.1016\/j.neubiorev.2021.07.024_bib0295","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.neuroimage.2014.04.081","article-title":"Apolipoprotein E genotype, gender and age modulate connectivity of the hippocampus in healthy adults","volume":"98","author":"Heise","year":"2014","journal-title":"NeuroImage"},{"issue":"4","key":"10.1016\/j.neubiorev.2021.07.024_bib0300","doi-asserted-by":"crossref","first-page":"1014","DOI":"10.1016\/j.neuroimage.2005.06.066","article-title":"The prediction of rapid conversion to Alzheimer\u2019s disease in mild cognitive impairment using regional cerebral blood flow SPECT","volume":"28","author":"Hirao","year":"2005","journal-title":"NeuroImage"},{"key":"10.1016\/j.neubiorev.2021.07.024_bib0305","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1016\/j.neuroimage.2013.05.079","article-title":"Dynamic functional connectivity: promise, issues, and interpretations","volume":"80","author":"Hutchison","year":"2013","journal-title":"Neuroimage"},{"issue":"6","key":"10.1016\/j.neubiorev.2021.07.024_bib0310","doi-asserted-by":"crossref","first-page":"1347","DOI":"10.1016\/j.neuron.2013.12.003","article-title":"Biomarker modeling of Alzheimer\u2019s disease","volume":"80","author":"Jack","year":"2013","journal-title":"Neuron"},{"issue":"1","key":"10.1016\/j.neubiorev.2021.07.024_bib0315","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1016\/j.mri.2011.07.007","article-title":"Aberrant default mode network in subjects with amnestic mild cognitive impairment using resting-state functional MRI","volume":"30","author":"Jin","year":"2012","journal-title":"Magn. Reson. Imaging"},{"key":"10.1016\/j.neubiorev.2021.07.024_bib0320","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1016\/j.neuroimage.2018.05.052","article-title":"Disrupted topology of the resting state structural connectome in middle-aged APOE \u03b54 carriers","volume":"178","author":"Korthauer","year":"2018","journal-title":"NeuroImage"},{"issue":"1\u20132","key":"10.1016\/j.neubiorev.2021.07.024_bib0325","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.drugalcdep.2013.01.021","article-title":"Resting-state activity in the left executive control network is associated with behavioral approach and is increased in substance dependence","volume":"129","author":"Krmpotich","year":"2013","journal-title":"Drug Alcohol Depend."},{"issue":"12","key":"10.1016\/j.neubiorev.2021.07.024_bib0330","doi-asserted-by":"crossref","first-page":"4022","DOI":"10.1162\/jocn_a_00077","article-title":"Behavioral interpretations of intrinsic connectivity networks","volume":"23","author":"Laird","year":"2011","journal-title":"J. Cogn. Neurosci."},{"issue":"9","key":"10.1016\/j.neubiorev.2021.07.024_bib0335","doi-asserted-by":"crossref","first-page":"846","DOI":"10.1002\/humu.20520","article-title":"Progranulin null mutations in both sporadic and familial frontotemporal dementia","volume":"28","author":"Le Ber","year":"2007","journal-title":"Hum. Mutat."},{"issue":"2","key":"10.1016\/j.neubiorev.2021.07.024_bib0340","doi-asserted-by":"crossref","first-page":"408","DOI":"10.1016\/S0278-2626(03)00155-6","article-title":"Influence of education on the Benton Visual Retention Test performance as mediated by a strategic search component","volume":"53","author":"Le Carret","year":"2003","journal-title":"Brain Cogn."},{"key":"10.1016\/j.neubiorev.2021.07.024_bib0345","doi-asserted-by":"crossref","DOI":"10.1016\/j.nicl.2019.101751","article-title":"Thalamo-cortical network hyperconnectivity in preclinical progranulin mutation carriers","volume":"22","author":"Lee","year":"2019","journal-title":"Neuroimage Clin."},{"issue":"1","key":"10.1016\/j.neubiorev.2021.07.024_bib0350","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1523\/JNEUROSCI.3689-11.2012","article-title":"Echoes of the brain within the posterior cingulate cortex","volume":"32","author":"Leech","year":"2012","journal-title":"J. Neurosci."},{"issue":"9","key":"10.1016\/j.neubiorev.2021.07.024_bib0355","doi-asserted-by":"crossref","first-page":"1131","DOI":"10.1001\/archneurol.2011.108","article-title":"Effect of APOE \u03b54 status on intrinsic network connectivity in cognitively normal elderly subjects","volume":"68","author":"Machulda","year":"2011","journal-title":"Arch. Neurol."},{"issue":"3","key":"10.1016\/j.neubiorev.2021.07.024_bib0360","doi-asserted-by":"crossref","first-page":"702","DOI":"10.1016\/j.neuroimage.2008.12.059","article-title":"Reproducibility of BOLD signal change induced by breath holding","volume":"45","author":"Magon","year":"2009","journal-title":"Neuroimage"},{"key":"10.1016\/j.neubiorev.2021.07.024_bib0365","doi-asserted-by":"crossref","first-page":"250","DOI":"10.1016\/j.arr.2016.10.001","article-title":"Structural neuroimaging in preclinical dementia: from microstructural deficits and grey matter atrophy to macroscale connectomic changes","volume":"35","author":"Mak","year":"2017","journal-title":"Ageing Res. Rev."},{"issue":"5\u20136","key":"10.1016\/j.neubiorev.2021.07.024_bib0370","doi-asserted-by":"crossref","first-page":"655","DOI":"10.1007\/s00429-010-0262-0","article-title":"Saliency, switching, attention and control: a network model of insula function","volume":"214","author":"Menon","year":"2010","journal-title":"Brain Struct. Funct."},{"issue":"7","key":"10.1016\/j.neubiorev.2021.07.024_bib0375","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pmed.1000097","article-title":"Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement","volume":"6","author":"Moher","year":"2009","journal-title":"PLoS Med."},{"issue":"2","key":"10.1016\/j.neubiorev.2021.07.024_bib0380","doi-asserted-by":"crossref","first-page":"500","DOI":"10.1016\/j.neuroimage.2006.10.007","article-title":"Integrating VBM into the General Linear Model with voxelwise anatomical covariates","volume":"34","author":"Oakes","year":"2007","journal-title":"NeuroImage"},{"issue":"1","key":"10.1016\/j.neubiorev.2021.07.024_bib0385","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1007\/s11682-012-9187-y","article-title":"Default mode network activity and white matter integrity in healthy middle-aged ApoE4 carriers","volume":"7","author":"Patel","year":"2013","journal-title":"Brain Imaging Behav."},{"key":"10.1016\/j.neubiorev.2021.07.024_bib0390","doi-asserted-by":"crossref","first-page":"463","DOI":"10.1016\/j.neuroimage.2013.04.013","article-title":"The effect of resting condition on resting-state fMRI reliability and consistency: a comparison between resting with eyes open, closed, and fixated","volume":"78","author":"Patriat","year":"2013","journal-title":"Neuroimage"},{"issue":"6","key":"10.1016\/j.neubiorev.2021.07.024_bib0395","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1212\/WNL.0b013e31820af94e","article-title":"Default mode network connectivity in stable vs progressive mild cognitive impairment","volume":"76","author":"Petrella","year":"2011","journal-title":"Neurology"},{"key":"10.1016\/j.neubiorev.2021.07.024_bib0400","doi-asserted-by":"crossref","first-page":"449","DOI":"10.1146\/annurev.neuro.29.051605.112819","article-title":"Brain work and brain imaging","volume":"29","author":"Raichle","year":"2006","journal-title":"Annu. Rev. Neurosci."},{"key":"10.1016\/j.neubiorev.2021.07.024_bib0405","doi-asserted-by":"crossref","first-page":"760","DOI":"10.1016\/j.nicl.2017.03.016","article-title":"Family history and APOE4 risk for Alzheimer\u2019s disease impact the neural correlates of episodic memory by early midlife","volume":"14","author":"Rajah","year":"2017","journal-title":"Neuroimage Clin."},{"issue":"2","key":"10.1016\/j.neubiorev.2021.07.024_bib0410","doi-asserted-by":"crossref","first-page":"1236","DOI":"10.1016\/S1053-8119(03)00386-0","article-title":"Identifying confounds to increase specificity during a \u201cno task condition\u201d: evidence for hippocampal connectivity using fMRI","volume":"20","author":"Rombouts","year":"2003","journal-title":"Neuroimage"},{"issue":"1","key":"10.1016\/j.neubiorev.2021.07.024_bib0415","doi-asserted-by":"crossref","first-page":"180","DOI":"10.3174\/ajnr.A2733","article-title":"Functional connectivity during resting-state functional MR imaging: study of the correspondence between independent component analysis and region-of-interest\u2212 based methods","volume":"33","author":"Rosazza","year":"2012","journal-title":"Am. J. Neuroradiol."},{"issue":"3","key":"10.1016\/j.neubiorev.2021.07.024_bib0420","doi-asserted-by":"crossref","first-page":"1059","DOI":"10.1016\/j.neuroimage.2009.10.003","article-title":"Complex network measures of brain connectivity: uses and interpretations","volume":"52","author":"Rubinov","year":"2010","journal-title":"Neuroimage"},{"key":"10.1016\/j.neubiorev.2021.07.024_bib0425","doi-asserted-by":"crossref","first-page":"663","DOI":"10.3389\/fpsyg.2015.00663","article-title":"Reorganization of brain networks in aging: a review of functional connectivity studies","volume":"6","author":"Sala-Llonch","year":"2015","journal-title":"Front. Psychol."},{"issue":"11","key":"10.1016\/j.neubiorev.2021.07.024_bib0430","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0013788","article-title":"Loss of \u2018small-world\u2019networks in Alzheimer\u2019s disease: graph analysis of FMRI resting-state functional connectivity","volume":"5","author":"Sanz-Arigita","year":"2010","journal-title":"PLoS One"},{"issue":"10","key":"10.1016\/j.neubiorev.2021.07.024_bib0435","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1371\/journal.pone.0076488","article-title":"Default mode, dorsal attention and auditory resting state networks exhibit differential functional connectivity in tinnitus and hearing loss","volume":"8","author":"Schmidt","year":"2013","journal-title":"PLoS One"},{"issue":"9","key":"10.1016\/j.neubiorev.2021.07.024_bib0440","doi-asserted-by":"crossref","first-page":"2349","DOI":"10.1523\/JNEUROSCI.5587-06.2007","article-title":"Dissociable intrinsic connectivity networks for salience processing and executive control","volume":"27","author":"Seeley","year":"2007","journal-title":"J. Neurosci."},{"issue":"50","key":"10.1016\/j.neubiorev.2021.07.024_bib0445","doi-asserted-by":"crossref","first-page":"17035","DOI":"10.1523\/JNEUROSCI.3987-10.2010","article-title":"APOE4 allele disrupts resting state fMRI connectivity in the absence of amyloid plaques or decreased CSF A\u03b242","volume":"30","author":"Sheline","year":"2010","journal-title":"J. Neurosci."},{"key":"10.1016\/j.neubiorev.2021.07.024_bib0450","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1016\/j.neuroimage.2015.05.015","article-title":"Optimization of rs-fMRI pre-processing for enhanced signal-noise separation, test-retest reliability, and group discrimination","volume":"117","author":"Shirer","year":"2015","journal-title":"Neuroimage"},{"issue":"31","key":"10.1016\/j.neubiorev.2021.07.024_bib0455","doi-asserted-by":"crossref","first-page":"13040","DOI":"10.1073\/pnas.0905267106","article-title":"Correspondence of the brain\u2019s functional architecture during activation and rest","volume":"106","author":"Smith","year":"2009","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"issue":"4","key":"10.1016\/j.neubiorev.2021.07.024_bib0460","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1177\/1971400917697342","article-title":"Resting state fMRI: a review on methods in resting state connectivity analysis and resting state networks","volume":"30","author":"Smitha","year":"2017","journal-title":"Neuroradiol. J."},{"issue":"47","key":"10.1016\/j.neubiorev.2021.07.024_bib0465","doi-asserted-by":"crossref","first-page":"18760","DOI":"10.1073\/pnas.0708803104","article-title":"Selective changes of resting-state networks in individuals at risk for Alzheimer\u2019s disease","volume":"104","author":"Sorg","year":"2007","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"issue":"3","key":"10.1016\/j.neubiorev.2021.07.024_bib0470","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1162\/jocn.2008.21029","article-title":"The common neural basis of autobiographical memory, prospection, navigation, theory of mind, and the default mode: a quantitative meta-analysis","volume":"21","author":"Spreng","year":"2009","journal-title":"J. Cogn. Neurosci."},{"issue":"13","key":"10.1016\/j.neubiorev.2021.07.024_bib0475","doi-asserted-by":"crossref","first-page":"1004","DOI":"10.1001\/jama.1994.03510370056032","article-title":"Influence of education and occupation on the incidence of Alzheimer\u2019s disease","volume":"271","author":"Stern","year":"1994","journal-title":"JAMA"},{"issue":"52","key":"10.1016\/j.neubiorev.2021.07.024_bib0480","article-title":"APOE polymorphism affects brain default mode network in healthy young adults: a STROBE article","volume":"94","author":"Su","year":"2015","journal-title":"Medicine (United States)"},{"issue":"3","key":"10.1016\/j.neubiorev.2021.07.024_bib0485","doi-asserted-by":"crossref","first-page":"818","DOI":"10.1007\/s11682-016-9556-z","article-title":"Lower functional connectivity of default mode network in cognitively normal young adults with mutation of APP, presenilins and APOE \u03b54","volume":"11","author":"Su","year":"2017","journal-title":"Brain Imaging Behav."},{"issue":"12","key":"10.1016\/j.neubiorev.2021.07.024_bib0490","doi-asserted-by":"crossref","first-page":"e9712","DOI":"10.15252\/emmm.201809712","article-title":"CSF progranulin increases in the course of Alzheimer\u2019s disease and is associated with sTREM 2, neurodegeneration and cognitive decline","volume":"10","author":"Su\u00e1rez-Calvet","year":"2018","journal-title":"EMBO Mol. Med."},{"issue":"6","key":"10.1016\/j.neubiorev.2021.07.024_bib0495","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pcbi.1000100","article-title":"Network analysis of intrinsic functional brain connectivity in Alzheimer\u2019s disease","volume":"4","author":"Supekar","year":"2008","journal-title":"PLoS Comput. Biol."},{"key":"10.1016\/j.neubiorev.2021.07.024_bib0500","series-title":"An Approach to Cerebral Imaging","article-title":"Co-planar stereotaxic atlas of the human brain-3-dimensional proportional system","author":"Talairach","year":"1988"},{"issue":"1","key":"10.1016\/j.neubiorev.2021.07.024_bib0505","first-page":"1","article-title":"Secondary prevention of Alzheimer\u2019s dementia: neuroimaging contributions","volume":"10","author":"Ten Kate","year":"2018","journal-title":"Alzheimer\u2019s Res. Ther."},{"key":"10.1016\/j.neubiorev.2021.07.024_bib0510","series-title":"Applied Computing and Informatics","article-title":"Independent component analysis: an introduction","author":"Tharwat","year":"2020"},{"key":"10.1016\/j.neubiorev.2021.07.024_bib0515","series-title":"Micro-, Meso-and Macro-Connectomics of the Brain","first-page":"147","article-title":"Genetics of the connectome and the ENIGMA project","author":"Thompson","year":"2016"},{"issue":"8","key":"10.1016\/j.neubiorev.2021.07.024_bib0520","doi-asserted-by":"crossref","first-page":"2023","DOI":"10.1016\/j.neurobiolaging.2013.02.020","article-title":"Alzheimer\u2019s disease: connecting findings from graph theoretical studies of brain networks","volume":"34","author":"Tijms","year":"2013","journal-title":"Neurobiol. Aging"},{"issue":"1","key":"10.1016\/j.neubiorev.2021.07.024_bib0525","doi-asserted-by":"crossref","first-page":"565","DOI":"10.1016\/j.neuroimage.2011.07.059","article-title":"The effects of APOE on the functional architecture of the resting brain","volume":"59","author":"Trachtenberg","year":"2012","journal-title":"NeuroImage"},{"key":"10.1016\/j.neubiorev.2021.07.024_bib0530","doi-asserted-by":"crossref","DOI":"10.1111\/psyp.13714","article-title":"The effects of age on resting-state BOLD signal variability is explained by cardiovascular and neurovascular factors","author":"Tsvetanov","year":"2021","journal-title":"Psychophysiology"},{"issue":"1","key":"10.1016\/j.neubiorev.2021.07.024_bib0535","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1038\/nrn3857","article-title":"Salience processing and insular cortical function and dysfunction","volume":"16","author":"Uddin","year":"2015","journal-title":"Nat. Rev. Neurosci."},{"issue":"2","key":"10.1016\/j.neubiorev.2021.07.024_bib0540","doi-asserted-by":"crossref","first-page":"625","DOI":"10.1002\/hbm.20531","article-title":"Functional connectivity of default mode network components: correlation, anticorrelation, and causality","volume":"30","author":"Uddin","year":"2009","journal-title":"Hum. Brain Mapp."},{"issue":"3","key":"10.1016\/j.neubiorev.2021.07.024_bib0545","doi-asserted-by":"crossref","first-page":"932","DOI":"10.1523\/JNEUROSCI.4227-13.2014","article-title":"Precuneus is a functional core of the default-mode network","volume":"34","author":"Utevsky","year":"2014","journal-title":"J. Neurosci."},{"issue":"8","key":"10.1016\/j.neubiorev.2021.07.024_bib0550","doi-asserted-by":"crossref","first-page":"519","DOI":"10.1016\/j.euroneuro.2010.03.008","article-title":"Exploring the brain network: a review on resting-state fMRI functional connectivity","volume":"20","author":"van den Heuvel","year":"2010","journal-title":"Eur. Neuropsychopharmacol."},{"issue":"1","key":"10.1016\/j.neubiorev.2021.07.024_bib0555","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1152\/jn.00783.2009","article-title":"Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization","volume":"103","author":"Van Dijk","year":"2010","journal-title":"J. Neurophysiol."},{"issue":"1","key":"10.1016\/j.neubiorev.2021.07.024_bib0560","first-page":"1","article-title":"Functional neuroimaging in subjective cognitive decline: current status and a research path forward","volume":"12","author":"Viviano","year":"2020","journal-title":"Alzheimer\u2019s Res. Ther."},{"issue":"8","key":"10.1016\/j.neubiorev.2021.07.024_bib0565","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0044530","article-title":"Decoding lifespan changes of the human brain using resting-state functional connectivity MRI","volume":"7","author":"Wang","year":"2012","journal-title":"PLoS One"},{"issue":"5","key":"10.1016\/j.neubiorev.2021.07.024_bib0570","doi-asserted-by":"crossref","first-page":"1828","DOI":"10.1002\/hbm.22740","article-title":"Apolipoprotein E \u03b54 modulates functional brain connectome in Alzheimer\u2019s disease","volume":"36","author":"Wang","year":"2015","journal-title":"Hum. Brain Mapp."},{"issue":"11","key":"10.1016\/j.neubiorev.2021.07.024_bib0575","doi-asserted-by":"crossref","first-page":"1725","DOI":"10.1093\/gerona\/glz004","article-title":"KIBRA and APOE gene variants affect brain functional network connectivity in healthy older people","volume":"74","author":"Wang","year":"2019","journal-title":"J. Gerontol. - Ser. A Biol. Sci. Med. Sci."},{"issue":"21","key":"10.1016\/j.neubiorev.2021.07.024_bib0580","doi-asserted-by":"crossref","first-page":"7775","DOI":"10.1523\/JNEUROSCI.1230-11.2011","article-title":"Increased hippocampal default mode synchronization during rest in middle-aged and elderly APOE \u03b54 carriers: relationships with memory performance","volume":"31","author":"Westlye","year":"2011","journal-title":"J. Neurosci."},{"issue":"2","key":"10.1016\/j.neubiorev.2021.07.024_bib0585","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/S0166-4328(02)00236-X","article-title":"On the origins of autobiographical memory","volume":"138","author":"Whishaw","year":"2003","journal-title":"Behav. Brain Res."},{"issue":"September","key":"10.1016\/j.neubiorev.2021.07.024_bib0590","article-title":"A triple network connectivity study of large-scale brain systems in cognitively normal APOE4 carriers","volume":"8","author":"Wu","year":"2016","journal-title":"Front. Aging Neurosci."},{"key":"10.1016\/j.neubiorev.2021.07.024_bib0595","doi-asserted-by":"crossref","first-page":"77","DOI":"10.3389\/fpsyt.2011.00077","article-title":"Mapping the Alzheimer\u2019s brain with connectomics","volume":"2","author":"Xie","year":"2012","journal-title":"Front. Psychiatry"},{"issue":"7","key":"10.1016\/j.neubiorev.2021.07.024_bib0600","doi-asserted-by":"crossref","first-page":"3238","DOI":"10.1002\/hbm.22398","article-title":"The APOE e{open}4 allele affects complexity and functional connectivity of resting brain activity in healthy adults","volume":"35","author":"Yang","year":"2014","journal-title":"Hum. Brain Mapp."},{"issue":"3","key":"10.1016\/j.neubiorev.2021.07.024_bib0605","doi-asserted-by":"crossref","first-page":"1125","DOI":"10.1152\/jn.00338.2011","article-title":"The organization of the human cerebral cortex estimated by intrinsic functional connectivity","volume":"106","author":"Yeo","year":"2011","journal-title":"J. Neurophysiol."},{"key":"10.1016\/j.neubiorev.2021.07.024_bib0610","series-title":"Default Mode Network Connectivity in Alzheimer\u2019s Disease","author":"Yildirim","year":"2019"},{"key":"10.1016\/j.neubiorev.2021.07.024_bib0615","first-page":"4797","article-title":"APOE and KIBRA interactions on brain functional connectivity in healthy young adults","volume":"2016","author":"Zhang","year":"2017","journal-title":"September"},{"issue":"1","key":"10.1016\/j.neubiorev.2021.07.024_bib0620","first-page":"1","article-title":"Distinct BOLD variability changes in the default mode and salience networks in Alzheimer\u2019s disease spectrum and associations with cognitive decline","volume":"10","author":"Zhang","year":"2020","journal-title":"Sci. Rep."},{"issue":"5","key":"10.1016\/j.neubiorev.2021.07.024_bib0625","doi-asserted-by":"crossref","first-page":"1352","DOI":"10.1093\/brain\/awq075","article-title":"Divergent network connectivity changes in behavioural variant frontotemporal dementia and Alzheimer\u2019s disease","volume":"133","author":"Zhou","year":"2010","journal-title":"Brain"},{"issue":"7","key":"10.1016\/j.neubiorev.2021.07.024_bib0630","doi-asserted-by":"crossref","first-page":"1481","DOI":"10.1073\/pnas.1719747115","article-title":"Statistical tests and identifiability conditions for pooling and analyzing multisite datasets","volume":"115","author":"Zhou","year":"2018","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"10.1016\/j.neubiorev.2021.07.024_bib0635","doi-asserted-by":"crossref","first-page":"346","DOI":"10.3389\/fnins.2021.650220","article-title":"Polygenic score models for Alzheimer\u2019s disease: from research to clinical applications","volume":"15","author":"Zhou","year":"2021","journal-title":"Front. Neurosci."},{"issue":"4","key":"10.1016\/j.neubiorev.2021.07.024_bib0640","doi-asserted-by":"crossref","DOI":"10.1088\/1741-2560\/13\/4\/046008","article-title":"Changes of intranetwork and internetwork functional connectivity in Alzheimer\u2019s disease and mild cognitive impairment","volume":"13","author":"Zhu","year":"2016","journal-title":"J. Neural Eng."}],"container-title":["Neuroscience &amp; Biobehavioral Reviews"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0149763421003237?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0149763421003237?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,4,18]],"date-time":"2025-04-18T16:04:35Z","timestamp":1744992275000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0149763421003237"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10]]},"references-count":128,"alternative-id":["S0149763421003237"],"URL":"https:\/\/doi.org\/10.1016\/j.neubiorev.2021.07.024","relation":{},"ISSN":["0149-7634"],"issn-type":[{"value":"0149-7634","type":"print"}],"subject":[],"published":{"date-parts":[[2021,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Resting-state brain connectivity in healthy young and middle-aged adults at risk of progressive Alzheimer\u2019s disease","name":"articletitle","label":"Article Title"},{"value":"Neuroscience & Biobehavioral Reviews","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neubiorev.2021.07.024","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2021 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}]}}