{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,28]],"date-time":"2026-10-28T11:05:36Z","timestamp":1793185536399,"version":"4.5.0"},"reference-count":90,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2022,3,28]],"date-time":"2022-03-28T00:00:00Z","timestamp":1648425600000},"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>In Parkinson\u2019s disease (PD) functional changes in the brain occur years before significant cognitive symptoms manifest yet core large-scale networks that maintain cognition and predict future cognitive decline are poorly understood. The present study investigated internetwork functional connectivity of visual (VN), anterior and posterior default mode (aDMN, pDMN), left\/right frontoparietal (LFPN, RFPN), and salience (SN) networks in 63 cognitively normal PD (PDCN) and 43 healthy controls who underwent resting-state functional MRI. The functional relevance of internetwork coupling topologies was tested by their correlations with baseline cognitive performance in each group and with 2-year cognitive changes in a PDCN subsample. To disentangle heterogeneity in neurocognitive functioning, we also studied whether \u03b1-synuclein (SNCA) and microtubule-associated protein tau (MAPT) variants alter internetwork connectivity and\/or accelerate cognitive decline. We found that internetwork connectivity was largely preserved in PDCN, except for reduced pDMN-RFPN\/LFPN couplings, which correlated with poorer baseline global cognition. Preserved internetwork couplings also correlated with domain-specific cognition but differently for the two groups. In PDCN, stronger positive internetwork coupling topologies correlated with better cognition at baseline, suggesting a compensatory mechanism arising from less effective deployment of networks that supported cognition in healthy controls. However, stronger positive internetwork coupling topologies typically predicted greater longitudinal decline in most cognitive domains, suggesting that they were surrogate markers of neuronal vulnerability. In this regard, stronger aDMN-SN, LFPN-SN, and\/or LFPN-VN connectivity predicted longitudinal decline in attention, working memory, executive functioning, and visual cognition, which is a risk factor for dementia. Coupling strengths of some internetwork topologies were altered by genetic variants. PDCN carriers of the SNCA risk allele showed amplified anticorrelations between the SN and the VN\/pDMN, which supported cognition in healthy controls, but strengthened pDMN-RFPN connectivity, which maintained visual memory longitudinally. PDCN carriers of the MAPT risk allele showed greater longitudinal decline in working memory and increased VN-LFPN connectivity, which in turn predicted greater decline in visuospatial processing. Collectively, the results suggest that cognition is maintained by functional reconfiguration of large-scale internetwork communications, which are partly altered by genetic risk factors and predict future domain-specific cognitive progression.<\/jats:p>","DOI":"10.3389\/fnagi.2022.853029","type":"journal-article","created":{"date-parts":[[2022,3,30]],"date-time":"2022-03-30T01:23:07Z","timestamp":1648603387000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["Internetwork Connectivity Predicts Cognitive Decline in Parkinson\u2019s and Is Altered by Genetic Variants"],"prefix":"10.3389","volume":"14","author":[{"given":"Xiangyu","family":"Wei","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qian","family":"Shen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Irene","family":"Litvan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingxiong","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roland R.","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Deborah L.","family":"Harrington","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2022,3,28]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"425","DOI":"10.1007\/s00415-014-7591-5","article-title":"Resting-state functional connectivity associated with mild cognitive impairment in Parkinson\u2019s disease.","volume":"262","author":"Amboni","year":"2015","journal-title":"J. Neurol."},{"key":"B2","doi-asserted-by":"publisher","first-page":"324","DOI":"10.1016\/j.neuroimage.2014.01.032","article-title":"Contributions of episodic retrieval and mentalizing to autobiographical thought: evidence from functional neuroimaging, resting-state connectivity, and fMRI meta-analyses.","volume":"91","author":"Andrews-Hanna","year":"","journal-title":"Neuroimage"},{"key":"B3","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1111\/nyas.12360","article-title":"The default network and self-generated thought: component processes, dynamic control, and clinical relevance.","volume":"1316","author":"Andrews-Hanna","year":"","journal-title":"Ann. N. Y. Acad. Sci."},{"key":"B4","doi-asserted-by":"publisher","first-page":"5736","DOI":"10.1002\/hbm.25650","article-title":"The impact of dopaminergic treatment over cognitive networks in Parkinson\u2019s disease: Stemming the tide?","volume":"42","author":"Aracil-Bolanos","year":"2021","journal-title":"Hum. Brain Mapp."},{"key":"B5","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0188196","article-title":"Exploring the reproducibility of functional connectivity alterations in Parkinson\u2019s disease.","volume":"12","author":"Badea","year":"2017","journal-title":"PLoS One"},{"key":"B6","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1002\/hbm.22622","article-title":"Cognitive impairment and resting-state network connectivity in Parkinson\u2019s disease.","volume":"36","author":"Baggio","year":"2015","journal-title":"Hum. Brain Mapp."},{"key":"B7","doi-asserted-by":"publisher","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":"B8","doi-asserted-by":"publisher","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 Transact. Med. Imaging"},{"key":"B9","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1016\/j.tics.2010.04.004","article-title":"Large-scale brain networks in cognition: emerging methods and principles.","volume":"14","author":"Bressler","year":"2010","journal-title":"Trends Cogn. Sci."},{"key":"B10","doi-asserted-by":"publisher","first-page":"701","DOI":"10.1038\/s41583-018-0068-2","article-title":"Maintenance, reserve and compensation: the cognitive neuroscience of healthy ageing.","volume":"19","author":"Cabeza","year":"2018","journal-title":"Nat. Rev. Neurosci."},{"key":"B11","doi-asserted-by":"publisher","first-page":"e718","DOI":"10.1212\/WNL.0000000000008677","article-title":"Proteinopathy and longitudinal changes in functional connectivity networks in Parkinson disease.","volume":"94","author":"Campbell","year":"2020","journal-title":"Neurology"},{"key":"B12","doi-asserted-by":"publisher","DOI":"10.3389\/fnagi.2017.00198","article-title":"Variants in SNCA Gene Are Associated with Parkinson\u2019s Disease Risk and Cognitive Symptoms in a Brazilian Sample.","volume":"9","author":"Campelo","year":"2017","journal-title":"Front. Aging Neurosci."},{"key":"B13","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1002\/gps.4756","article-title":"A re-examination of Montreal Cognitive Assessment (MoCA) cutoff scores.","volume":"33","author":"Carson","year":"2018","journal-title":"Int. J. Geriatr. Psychiatr."},{"key":"B14","doi-asserted-by":"publisher","first-page":"669","DOI":"10.1212\/WNL.0000000000003615","article-title":"Genome-wide association study identifies MAPT locus influencing human plasma tau levels.","volume":"88","author":"Chen","year":"2017","journal-title":"Neurology"},{"key":"B15","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1002\/ana.24323","article-title":"Salience network and parahippocampal dopamine dysfunction in memory-impaired Parkinson disease.","volume":"77","author":"Christopher","year":"2015","journal-title":"Ann. Neurol."},{"key":"B16","doi-asserted-by":"publisher","first-page":"2143","DOI":"10.1093\/brain\/awu084","article-title":"Uncovering the role of the insula in non-motor symptoms of Parkinson\u2019s disease.","volume":"137","author":"Christopher","year":"2014","journal-title":"Brain"},{"key":"B17","doi-asserted-by":"publisher","first-page":"e1650","DOI":"10.1212\/WNL.0000000000010347","article-title":"Factor analysis-derived cognitive profile predicting early dementia conversion in PD.","volume":"95","author":"Chung","year":"2020","journal-title":"Neurology"},{"key":"B18","doi-asserted-by":"publisher","first-page":"936","DOI":"10.1016\/j.neurobiolaging.2012.06.015","article-title":"MAPT H1 haplotype is associated with enhanced alpha-synuclein deposition in dementia with Lewy bodies.","volume":"34","author":"Colom-Cadena","year":"2013","journal-title":"Neurobiol. Aging"},{"key":"B19","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1016\/j.neulet.2010.10.015","article-title":"High cerebrospinal tau levels are associated with the rs242557 tau gene variant and low cerebrospinal beta-amyloid in Parkinson disease.","volume":"487","author":"Compta","year":"2011","journal-title":"Neurosci. Lett."},{"key":"B20","doi-asserted-by":"publisher","first-page":"717","DOI":"10.1016\/j.parkreldis.2013.03.009","article-title":"Combined dementia-risk biomarkers in Parkinson\u2019s disease: a prospective longitudinal study.","volume":"19","author":"Compta","year":"2013","journal-title":"Parkinsonism Relat. Disord."},{"key":"B21","doi-asserted-by":"publisher","DOI":"10.7717\/peerj.367","article-title":"Modulatory interactions between the default mode network and task positive networks in resting-state.","volume":"2","author":"Di","year":"2014","journal-title":"PeerJ."},{"key":"B22","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1016\/j.jns.2018.10.002","article-title":"SNCA variants and alpha-synuclein level in CD45+ blood cells in Parkinson\u2019s disease.","volume":"395","author":"Emelyanov","year":"2018","journal-title":"J. Neurol. Sci."},{"key":"B23","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1159\/000496454","article-title":"Responsiveness to Change of the Montreal Cognitive Assessment, Mini-Mental State Examination, and SCOPA-Cog in Non-Demented Patients with Parkinson\u2019s Disease.","volume":"47","author":"Faust-Socher","year":"2019","journal-title":"Dement Geriatr. Cogn. Disord"},{"key":"B24","doi-asserted-by":"publisher","first-page":"2001","DOI":"10.1093\/cercor\/bhn232","article-title":"High consistency of regional cortical thinning in aging across multiple samples.","volume":"19","author":"Fjell","year":"2009","journal-title":"Cereb. Cortex"},{"key":"B25","doi-asserted-by":"publisher","first-page":"12788","DOI":"10.1073\/pnas.1204185109","article-title":"Competitive and cooperative dynamics of large-scale brain functional networks supporting recollection.","volume":"109","author":"Fornito","year":"2012","journal-title":"Proc. Natl. Acad. Sci. U.S.A"},{"key":"B26","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1016\/j.parkreldis.2017.11.003","article-title":"Cortical thinning correlates of changes in visuospatial and visuoperceptual performance in Parkinson\u2019s disease: A 4-year follow-up.","volume":"46","author":"Garcia-Diaz","year":"2018","journal-title":"Parkinsonism Relat. Disord."},{"key":"B27","doi-asserted-by":"publisher","first-page":"1727","DOI":"10.1016\/j.neurobiolaging.2014.12.026","article-title":"To rise and to fall: functional connectivity in cognitively normal and cognitively impaired patients with Parkinson\u2019s disease.","volume":"36","author":"Gorges","year":"2015","journal-title":"Neurobiol. Aging"},{"key":"B28","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1002\/ana.21192","article-title":"Tau and alpha-synuclein in susceptibility to, and dementia in, Parkinson\u2019s disease.","volume":"62","author":"Goris","year":"2007","journal-title":"Ann. Neurol."},{"key":"B29","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1016\/j.neuroimage.2014.05.052","article-title":"The salience network is responsible for switching between the default mode network and the central executive network: replication from DCM.","volume":"99","author":"Goulden","year":"2014","journal-title":"Neuroimage"},{"key":"B30","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1016\/j.neurobiolaging.2016.02.020","article-title":"Age differences in the functional interactions among the default, frontoparietal control, and dorsal attention networks.","volume":"41","author":"Grady","year":"2016","journal-title":"Neurobiol. Aging"},{"key":"B31","doi-asserted-by":"publisher","first-page":"1454","DOI":"10.1093\/brain\/awv104","article-title":"Parkinson\u2019s disease dementia: a neural networks perspective.","volume":"138","author":"Gratwicke","year":"2015","journal-title":"Brain"},{"key":"B32","doi-asserted-by":"publisher","first-page":"898","DOI":"10.1002\/mds.26578","article-title":"Longitudinal Measurements of Cerebrospinal Fluid Biomarkers in Parkinson\u2019s Disease.","volume":"31","author":"Hall","year":"2016","journal-title":"Mov. Disord."},{"key":"B33","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1212\/WNL.0000000000001098","article-title":"CSF biomarkers and clinical progression of Parkinson disease.","volume":"84","author":"Hall","year":"2015","journal-title":"Neurology"},{"key":"B34","doi-asserted-by":"publisher","DOI":"10.3389\/fnagi.2021.727057","article-title":"Semantic Recollection in Parkinson\u2019s Disease: Functional Reconfiguration and MAPT Variants.","volume":"13","author":"Harrington","year":"2021","journal-title":"Front. Aging Neurosci."},{"key":"B35","doi-asserted-by":"publisher","first-page":"1195","DOI":"10.1002\/hbm.24868","article-title":"Abnormal distraction and load-specific connectivity during working memory in cognitively normal Parkinson\u2019s disease.","volume":"41","author":"Harrington","year":"2020","journal-title":"Hum. Brain Mapp."},{"key":"B36","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1016\/j.tics.2007.05.001","article-title":"Deconstructing episodic memory with construction.","volume":"11","author":"Hassabis","year":"2007","journal-title":"Trends Cogn. Sci."},{"key":"B37","doi-asserted-by":"crossref","first-page":"1048","DOI":"10.1002\/gps.4261","article-title":"Mild cognitive impairment in Parkinson\u2019s disease and its progression onto dementia: a 16-year outcome evaluation of the Denbighshire cohort.","volume":"30","author":"Hobson","year":"2015","journal-title":"Int. J. Geriatr. Psychiatr."},{"key":"B38","doi-asserted-by":"publisher","first-page":"250","DOI":"10.1016\/j.cortex.2014.09.001","article-title":"Differing contributions of inferior prefrontal and anterior temporal cortex to concrete and abstract conceptual knowledge.","volume":"63","author":"Hoffman","year":"2015","journal-title":"Cortex"},{"key":"B39","doi-asserted-by":"publisher","first-page":"1739","DOI":"10.1016\/j.neurobiolaging.2013.11.017","article-title":"Subjective cognitive decline predicts future deterioration in cognitively normal patients with Parkinson\u2019s disease.","volume":"35","author":"Hong","year":"2014","journal-title":"Neurobiol. Aging"},{"key":"B40","doi-asserted-by":"publisher","DOI":"10.1186\/s12883-021-02360-z","article-title":"Different resting-state network disruptions in newly diagnosed drug-naive Parkinson\u2019s disease patients with mild cognitive impairment.","volume":"21","author":"Hou","year":"2021","journal-title":"BMC Neurol."},{"key":"B41","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0175560","article-title":"Genetic factors influencing frontostriatal dysfunction and the development of dementia in Parkinson\u2019s disease.","volume":"12","author":"Huertas","year":"2017","journal-title":"PLoS One"},{"key":"B42","doi-asserted-by":"publisher","first-page":"641","DOI":"10.1016\/S0140-6736(10)62345-8","article-title":"Imputation of sequence variants for identification of genetic risks for Parkinson\u2019s disease: a meta-analysis of genome-wide association studies.","volume":"377","author":"Nalls","year":"2011","journal-title":"Lancet"},{"key":"B43","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/j.cortex.2017.09.018","article-title":"Tau, amyloid, and cascading network failure across the Alzheimer\u2019s disease spectrum.","volume":"97","author":"Jones","year":"2017","journal-title":"Cortex"},{"key":"B44","doi-asserted-by":"publisher","first-page":"527","DOI":"10.1016\/j.neuroimage.2007.08.008","article-title":"Competition between functional brain networks mediates behavioral variability.","volume":"39","author":"Kelly","year":"2008","journal-title":"Neuroimage"},{"key":"B45","doi-asserted-by":"publisher","first-page":"971","DOI":"10.3233\/JAD-180834","article-title":"Connectivity Between Brain Networks Dynamically Reflects Cognitive Status of Parkinson\u2019s Disease: A Longitudinal Study.","volume":"67","author":"Klobusiakova","year":"2019","journal-title":"J. Alzheimers. Dis."},{"key":"B46","doi-asserted-by":"publisher","first-page":"280","DOI":"10.1016\/j.neuroimage.2009.12.008","article-title":"Effects of aging on default mode network activity in resting state fMRI: does the method of analysis matter?","volume":"51","author":"Koch","year":"2010","journal-title":"Neuroimage"},{"key":"B47","doi-asserted-by":"publisher","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."},{"key":"B48","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1002\/mds.24893","article-title":"Diagnostic criteria for mild cognitive impairment in Parkinson\u2019s disease: Movement Disorder Society Task Force guidelines.","volume":"27","author":"Litvan","year":"2012","journal-title":"Mov. Disord."},{"key":"B49","doi-asserted-by":"publisher","DOI":"10.3389\/fnagi.2019.00110","article-title":"Variants in the SNCA Locus Are Associated With the Progression of Parkinson\u2019s Disease.","volume":"11","author":"Luo","year":"2019","journal-title":"Front. Aging Neurosci."},{"key":"B50","doi-asserted-by":"publisher","first-page":"133","DOI":"10.31887\/DCNS.2018.20.2\/smarek","article-title":"The frontoparietal network: function, electrophysiology, and importance of individual precision mapping.","volume":"20","author":"Marek","year":"2018","journal-title":"Dialog. Clin. Neurosci."},{"key":"B51","doi-asserted-by":"publisher","first-page":"1405","DOI":"10.1001\/jamaneurol.2014.1455","article-title":"APOE. MAPT, and SNCA genes and cognitive performance in Parkinson disease.","volume":"71","author":"Mata","year":"2014","journal-title":"JAMA Neurol."},{"key":"B52","doi-asserted-by":"publisher","first-page":"1350","DOI":"10.1001\/archneurol.2010.279","article-title":"SNCA variant associated with Parkinson disease and plasma alpha-synuclein level.","volume":"67","author":"Mata","year":"2010","journal-title":"Arch. Neurol."},{"key":"B53","doi-asserted-by":"publisher","first-page":"512","DOI":"10.1002\/mds.24946","article-title":"Genetic influences on cognitive decline in Parkinson\u2019s disease.","volume":"27","author":"Morley","year":"2012","journal-title":"Mov. Disord."},{"key":"B54","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1002\/hbm.1058","article-title":"Nonparametric permutation tests for functional neuroimaging: a primer with examples.","volume":"15","author":"Nichols","year":"2002","journal-title":"Hum. Brain Mapp."},{"key":"B55","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2017.00115","article-title":"Using dual regression to investigate network shape and amplitude in functional connectivity analyses.","volume":"11","author":"Nickerson","year":"2017","journal-title":"Front. Neurosci."},{"key":"B56","doi-asserted-by":"publisher","first-page":"2743","DOI":"10.1093\/brain\/awu201","article-title":"Genetic impact on cognition and brain function in newly diagnosed Parkinson\u2019s disease: ICICLE-PD study.","volume":"137","author":"Nombela","year":"2014","journal-title":"Brain"},{"key":"B57","doi-asserted-by":"publisher","first-page":"1387","DOI":"10.1007\/s00702-020-02248-1","article-title":"Individual changes in visual performance in non-demented Parkinson\u2019s disease patients: a 1-year follow-up study.","volume":"127","author":"Ohdake","year":"2020","journal-title":"J. Neural Transm."},{"key":"B58","doi-asserted-by":"publisher","first-page":"2027","DOI":"10.1002\/hbm.22753","article-title":"Default-mode network functional connectivity is closely related to metabolic activity.","volume":"36","author":"Passow","year":"2015","journal-title":"Hum. Brain Mapp."},{"key":"B59","doi-asserted-by":"publisher","first-page":"349","DOI":"10.3233\/JPD-150762","article-title":"APOE, MAPT, and COMT and Parkinson\u2019s Disease Susceptibility and Cognitive Symptom Progression.","volume":"6","author":"Paul","year":"2016","journal-title":"J. Parkinsons. Dis."},{"key":"B60","doi-asserted-by":"publisher","first-page":"1702","DOI":"10.1002\/hbm.23499","article-title":"Intra- and inter-network functional alterations in Parkinson\u2019s disease with mild cognitive impairment.","volume":"38","author":"Peraza","year":"2017","journal-title":"Hum. Brain Mapp."},{"key":"B61","doi-asserted-by":"publisher","first-page":"449","DOI":"10.1016\/j.nicl.2015.01.012","article-title":"Altered intrinsic functional coupling between core neurocognitive networks in Parkinson\u2019s disease.","volume":"7","author":"Putcha","year":"2015","journal-title":"Neuroimage Clin."},{"key":"B62","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1017\/S1355617715000892","article-title":"Salience and Default Mode Network Coupling Predicts Cognition in Aging and Parkinson\u2019s Disease.","volume":"22","author":"Putcha","year":"2016","journal-title":"J. Int. Neuropsychol. Soc."},{"key":"B63","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-84316-4","article-title":"Investigating the relationship between the SNCA gene and cognitive abilities in idiopathic Parkinson\u2019s disease using machine learning.","volume":"11","author":"Ramezani","year":"2021","journal-title":"Sci. Rep."},{"key":"B64","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1016\/j.neuroimage.2015.02.011","article-title":"Genetic risk for Alzheimer\u2019s disease alters the five-year trajectory of semantic memory activation in cognitively intact elders.","volume":"111","author":"Rao","year":"2015","journal-title":"Neuroimage"},{"key":"B65","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1007\/s11065-014-9270-9","article-title":"How does it STAC up? Revisiting the scaffolding theory of aging and cognition.","volume":"24","author":"Reuter-Lorenz","year":"2014","journal-title":"Neuropsychol"},{"key":"B66","doi-asserted-by":"publisher","first-page":"583","DOI":"10.1007\/s00702-016-1552-3","article-title":"The effect of MAPT haplotype on neocortical Lewy body pathology in Parkinson disease.","volume":"123","author":"Robakis","year":"2016","journal-title":"J. Neural. Transm."},{"key":"B67","doi-asserted-by":"publisher","first-page":"648","DOI":"10.1002\/mdc3.12969","article-title":"The Montreal Cognitive Assessment: Is It Suitable for Identifying Mild Cognitive Impairment in Parkinson\u2019s Disease?","volume":"7","author":"Rosenblum","year":"2020","journal-title":"Mov. Disord. Clin. Pract."},{"key":"B68","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1037\/neu0000330","article-title":"Shared and unique influences on age-related cognitive change.","volume":"31","author":"Salthouse","year":"2017","journal-title":"Neuropsychology"},{"key":"B69","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1159\/000493103","article-title":"Cortical Thinning Associated with Age and CSF Biomarkers in Early Parkinson\u2019s Disease Is Modified by the SNCA rs356181 Polymorphism.","volume":"18","author":"Sampedro","year":"","journal-title":"Neurodegener. Dis."},{"key":"B70","doi-asserted-by":"publisher","DOI":"10.3389\/fneur.2018.00394","article-title":"Early Gray Matter Volume Loss in MAPT H1H1 de Novo PD Patients: A Possible Association With Cognitive Decline.","volume":"9","author":"Sampedro","year":"","journal-title":"Front. Neurol."},{"key":"B71","doi-asserted-by":"publisher","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"},{"key":"B72","doi-asserted-by":"publisher","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."},{"key":"B73","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1016\/j.neuroimage.2010.06.016","article-title":"Default network activity, coupled with the frontoparietal control network, supports goal-directed cognition.","volume":"53","author":"Spreng","year":"2010","journal-title":"Neuroimage"},{"key":"B74","doi-asserted-by":"publisher","first-page":"12569","DOI":"10.1073\/pnas.0800005105","article-title":"A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks.","volume":"105","author":"Sridharan","year":"2008","journal-title":"Proc. Natl. Acad. Sci. U S A"},{"key":"B75","doi-asserted-by":"publisher","first-page":"966","DOI":"10.1016\/j.ajpath.2013.12.007","article-title":"Cerebrospinal fluid alpha-synuclein predicts cognitive decline in Parkinson disease progression in the DATATOP cohort.","volume":"184","author":"Stewart","year":"2014","journal-title":"Am. J. Pathol."},{"key":"B76","doi-asserted-by":"publisher","first-page":"637","DOI":"10.3233\/JPD-191592","article-title":"Functional Connectivity Signatures of Parkinson\u2019s Disease.","volume":"9","author":"Tessitore","year":"2019","journal-title":"J. Parkinsons Dis."},{"key":"B77","doi-asserted-by":"publisher","first-page":"2226","DOI":"10.1212\/WNL.0b013e31827689d6","article-title":"Default-mode network connectivity in cognitively unimpaired patients with Parkinson disease.","volume":"79","author":"Tessitore","year":"2012","journal-title":"Neurology"},{"key":"B78","doi-asserted-by":"publisher","first-page":"3249","DOI":"10.1093\/cercor\/bhv171","article-title":"High-Resolution Functional Connectivity Density: Hub Locations, Sensitivity, Specificity, Reproducibility, and Reliability.","volume":"26","author":"Tomasi","year":"2016","journal-title":"Cereb. Cortex"},{"key":"B79","doi-asserted-by":"publisher","first-page":"13642","DOI":"10.1073\/pnas.1303346110","article-title":"Energetic cost of brain functional connectivity.","volume":"110","author":"Tomasi","year":"2013","journal-title":"Proc Natl Acad Sci U S A"},{"key":"B80","doi-asserted-by":"publisher","first-page":"2649","DOI":"10.1002\/mds.23429","article-title":"Systematic review of levodopa dose equivalency reporting in Parkinson\u2019s disease.","volume":"25","author":"Tomlinson","year":"2010","journal-title":"Mov. Disord."},{"key":"B81","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1016\/j.parkreldis.2011.10.014","article-title":"SNCA and MAPT genes: Independent and joint effects in Parkinson disease in the Italian population.","volume":"18","author":"Trotta","year":"2012","journal-title":"Parkinsonism Relat. Disord."},{"key":"B82","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1037\/bul0000179","article-title":"Coupled cognitive changes in adulthood: A meta-analysis.","volume":"145","author":"Tucker-Drob","year":"2019","journal-title":"Psychol. Bull."},{"key":"B83","doi-asserted-by":"publisher","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."},{"key":"B84","doi-asserted-by":"publisher","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."},{"key":"B85","doi-asserted-by":"publisher","first-page":"2827","DOI":"10.1093\/brain\/aww175","article-title":"Visual dysfunction in Parkinson\u2019s disease.","volume":"139","author":"Weil","year":"2016","journal-title":"Brain"},{"key":"B86","doi-asserted-by":"publisher","first-page":"919","DOI":"10.1002\/mds.26170","article-title":"Cognitive performance and neuropsychiatric symptoms in early, untreated Parkinson\u2019s disease.","volume":"30","author":"Weintraub","year":"2015","journal-title":"Mov. Disord."},{"key":"B87","doi-asserted-by":"publisher","first-page":"2958","DOI":"10.1093\/brain\/awp245","article-title":"The distinct cognitive syndromes of Parkinson\u2019s disease: 5 year follow-up of the CamPaIGN cohort.","volume":"132","author":"Williams-Gray","year":"2009","journal-title":"Brain"},{"key":"B88","doi-asserted-by":"publisher","first-page":"1258","DOI":"10.1136\/jnnp-2013-305277","article-title":"The CamPaIGN study of Parkinson\u2019s disease: 10-year outlook in an incident population-based cohort.","volume":"84","author":"Williams-Gray","year":"2013","journal-title":"J. Neurol. Neurosurg. Psychiatr."},{"key":"B89","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1038\/nrn1033","article-title":"Human prefrontal cortex: processing and representational perspectives.","volume":"4","author":"Wood","year":"2003","journal-title":"Nat. Rev. Neurosci."},{"key":"B90","doi-asserted-by":"publisher","DOI":"10.3389\/fnmol.2018.00391","article-title":"A Comprehensive Analysis of the Association Between SNCA Polymorphisms and the Risk of Parkinson\u2019s Disease.","volume":"11","author":"Zhang","year":"2018","journal-title":"Front. Mol. Neurosci."}],"container-title":["Frontiers in Aging Neuroscience"],"original-title":[],"link":[{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fnagi.2022.853029\/full","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,30]],"date-time":"2022-03-30T01:23:11Z","timestamp":1648603391000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fnagi.2022.853029\/full"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,28]]},"references-count":90,"alternative-id":["10.3389\/fnagi.2022.853029"],"URL":"https:\/\/doi.org\/10.3389\/fnagi.2022.853029","relation":{},"ISSN":["1663-4365"],"issn-type":[{"value":"1663-4365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3,28]]},"article-number":"853029"}}