{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,3]],"date-time":"2026-11-03T18:28:05Z","timestamp":1793730485171,"version":"4.6.1"},"reference-count":72,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,10,9]],"date-time":"2024-10-09T00:00:00Z","timestamp":1728432000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2024,10,9]],"date-time":"2024-10-09T00:00:00Z","timestamp":1728432000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"name":"eBRAIN-HEALTH","award":["101058516"],"award-info":[{"award-number":["101058516"]}]},{"DOI":"10.13039\/100010434","name":"'la Caixa' Foundation","doi-asserted-by":"publisher","award":["LCF\/BQ\/DR23\/12000025"],"award-info":[{"award-number":["LCF\/BQ\/DR23\/12000025"]}],"id":[{"id":"10.13039\/100010434","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Alz Res Therapy"],"DOI":"10.1186\/s13195-024-01576-8","type":"journal-article","created":{"date-parts":[[2024,10,9]],"date-time":"2024-10-09T06:02:01Z","timestamp":1728453721000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Toward a more comprehensive understanding of network centrality disruption in amnestic mild cognitive impairment: a MEG multilayer approach"],"prefix":"10.1186","volume":"16","author":[{"given":"Ignacio","family":"Taguas","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sandra","family":"Doval","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fernando","family":"Maest\u00fa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"L\u00f3pez-Sanz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,10,9]]},"reference":[{"issue":"2","key":"1576_CR1","doi-asserted-by":"publisher","first-page":"118","DOI":"10.1177\/1715163517690745","volume":"150","author":"S Duong","year":"2017","unstructured":"Duong S, Patel T, Chang F. Dementia: What pharmacists need to know. Can Pharm J (Ott). 2017;150(2):118\u201329.","journal-title":"Can Pharm J (Ott)"},{"key":"1576_CR2","doi-asserted-by":"publisher","unstructured":"Silva MVF, Loures CDMG, Alves LCV, De Souza LC, Borges KBG, Carvalho MDG. Alzheimer\u2019s disease: Risk factors and potentially protective measures. J Biomed Sci. 2019;26(1):33.\u00a0https:\/\/doi.org\/10.1186\/s12929-019-0524-y.","DOI":"10.1186\/s12929-019-0524-y"},{"key":"1576_CR3","unstructured":"Khanahmadi M, Farhud DD, Malmir M. Genetic of Alzheimer\u2019s Disease: A Narrative Review Article [Internet]. Vol. 44, Iran J Public Health. 2015. http:\/\/ijph.tums.ac.ir"},{"issue":"5","key":"1576_CR4","doi-asserted-by":"publisher","first-page":"665","DOI":"10.1001\/archneur.63.5.665","volume":"63","author":"RC Petersen","year":"2006","unstructured":"Petersen RC, Parisi JE, Dickson DW, Johnson KA, Knopman DS, Boeve BF et al. Neuropathologic features of amnestic mild cognitive impairment. Arch Neurol. 2006;63(5).","journal-title":"Arch Neurol"},{"key":"1576_CR5","doi-asserted-by":"crossref","unstructured":"Cheng YW, Chen TF, Chiu MJ. From mild cognitive impairment to subjective cognitive decline: Conceptual and methodological evolution. Vol. 13, Neuropsychiatric Disease and Treatment. 2017.","DOI":"10.2147\/NDT.S123428"},{"issue":"2","key":"1576_CR6","doi-asserted-by":"publisher","first-page":"306","DOI":"10.1016\/j.clinph.2005.10.017","volume":"117","author":"A Fern\u00e1ndez","year":"2006","unstructured":"Fern\u00e1ndez A, Hornero R, Mayo A, Poza J, Gil-Gregorio P, Ortiz T. MEG spectral profile in Alzheimer\u2019s disease and mild cognitive impairment. Clin Neurophysiol. 2006;117(2):306\u201314.","journal-title":"Clin Neurophysiol."},{"issue":"3","key":"1576_CR7","doi-asserted-by":"publisher","first-page":"9624","DOI":"10.1007\/s11357-014-9624-5","volume":"36","author":"M, E L\u00f3pez","year":"2014","unstructured":"L\u00f3pez M E, Cuesta P, Garc\u00e9s P, Castellanos P N, Aurtenetxe S, Bajo R, et al. MEG spectral analysis in subtypes of mild cognitive impairment. Age (Dordr). 2014;36(3):9624.","journal-title":"Age (Dordr)"},{"key":"1576_CR8","doi-asserted-by":"crossref","unstructured":"Sun J, Wang B, Niu Y, Tan Y, Fan C, Zhang N et al. Complexity analysis of EEG, MEG, and fMRI in mild cognitive impairment and Alzheimer\u2019s disease: A review. Vol. 22, Entropy. 2020.","DOI":"10.3390\/e22020239"},{"issue":"1","key":"1576_CR9","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1089\/brain.2011.0008","volume":"1","author":"KJ Friston","year":"2011","unstructured":"Friston KJ. Functional and effective connectivity: a review. Brain Connect. 2011;1(1):13\u201336.","journal-title":"Brain Connect"},{"key":"1576_CR10","doi-asserted-by":"crossref","unstructured":"Briels CT, Briels CT, Schoonhoven DN, Schoonhoven DN, Stam CJ, De Waal H, et al. Reproducibility of EEG functional connectivity in Alzheimer\u2019s disease. Alzheimers Res Ther. 2020;12(1).","DOI":"10.1186\/s13195-020-00632-3"},{"key":"1576_CR11","doi-asserted-by":"crossref","unstructured":"Ruiz-G\u00f3mez SJ, Hornero R, Poza J, Maturana-Candelas A, Pinto N, G\u00f3mez C. Computational modeling of the effects of EEG volume conduction on functional connectivity metrics. Application to Alzheimer\u2019s disease continuum. J Neural Eng. 2019;16(6).","DOI":"10.1088\/1741-2552\/ab4024"},{"key":"1576_CR12","doi-asserted-by":"crossref","unstructured":"Ranasinghe KG, Cha J, Iaccarino L, Hinkley LB, Beagle AJ, Pham J, et al. Neurophysiological signatures in Alzheimer\u2019s disease are distinctly associated with TAU, amyloid-\u03b2 accumulation, and cognitive decline. Sci Transl Med. 2020;12(534).","DOI":"10.1126\/scitranslmed.aaz4069"},{"key":"1576_CR13","doi-asserted-by":"crossref","unstructured":"L\u00f3pez-Sanz D, Bru\u00f1a R, Garc\u00e9s P, Mart\u00edn-Buro MC, Walter S, Delgado ML et al. Functional connectivity disruption in subjective cognitive decline and mild cognitive impairment: A common pattern of alterations. Front Aging Neurosci. 2017;9(APR).","DOI":"10.3389\/fnagi.2017.00109"},{"key":"1576_CR14","doi-asserted-by":"crossref","unstructured":"N\u00fanez P, Poza J, G\u00f3mez C, Rodr\u00edguez-Gonz\u00e1lez V, Hillebrand A, Tola-Arribas MA et al. Characterizing the fluctuations of dynamic resting-state electrophysiological functional connectivity: Reduced neuronal coupling variability in mild cognitive impairment and dementia due to Alzheimer\u2019s disease. J Neural Eng. 2019;16(5).","DOI":"10.1088\/1741-2552\/ab234b"},{"issue":"10","key":"1576_CR15","doi-asserted-by":"publisher","first-page":"555","DOI":"10.1089\/brain.2020.0785","volume":"10","author":"U Smailovic","year":"2020","unstructured":"Smailovic U, Koenig T, Savitcheva I, Chiotis K, Nordberg A, Blennow K, et al. Regional disconnection in alzheimer dementia and amyloid-positive mild cognitive impairment: association between eeg functional connectivity and brain glucose metabolism. Brain Connect. 2020;10(10):555\u201365.","journal-title":"Brain Connect"},{"key":"1576_CR16","doi-asserted-by":"crossref","unstructured":"Cuesta P, Ochoa-Urrea M, Funke M, Hasan O, Zhu P, Marcos A, et al. Gamma band functional connectivity reduction in patients with amnestic mild cognitive impairment and epileptiform activity. Brain Commun. 2022;4(2).","DOI":"10.1093\/braincomms\/fcac012"},{"key":"1576_CR17","doi-asserted-by":"crossref","unstructured":"Nakamura A, Cuesta P, Kato T, Arahata Y, Iwata K, Yamagishi M, et al. Early functional network alterations in asymptomatic elders at risk for Alzheimer\u2019s disease. Sci Rep. 2017;7(1).","DOI":"10.1038\/s41598-017-06876-8"},{"key":"1576_CR18","doi-asserted-by":"crossref","unstructured":"Farahani FV, Karwowski W, Lighthall NR. Application of graph theory for identifying connectivity patterns in human brain networks: a systematic review. 13, Frontiers in Neuroscience. 2019.","DOI":"10.3389\/fnins.2019.00585"},{"key":"1576_CR19","unstructured":"Fornito A, Zalesky A, Bullmore ET. Fundamentals of Brain Network Analysis. Fundamentals of Brain Network Analysis. 2016."},{"key":"1576_CR20","doi-asserted-by":"crossref","unstructured":"van den Heuvel MP, Scholtens LH, de Reus MA. Topological organization of connectivity strength in the rat connectome. Brain Struct Funct. 2016;221(3).","DOI":"10.1007\/s00429-015-0999-6"},{"key":"1576_CR21","first-page":"142","volume-title":"Resting-state brain connectivity in healthy young and middle-aged adults at risk of progressive Alzheimer\u2019s disease","author":"L Kucikova","year":"2021","unstructured":"Kucikova L, Goerdten J, Dounavi ME, Mak E, Su L, Waldman AD, et al. Resting-state brain connectivity in healthy young and middle-aged adults at risk of progressive Alzheimer\u2019s disease, vol. 129. Elsevier Ltd; 2021. p. 142\u201353."},{"key":"1576_CR22","doi-asserted-by":"crossref","unstructured":"Miraglia F, Vecchio F, Pappalettera C, Nucci L, Cotelli M, Judica E et al. Brain Connectivity and Graph Theory Analysis in Alzheimer\u2019s and Parkinson\u2019s Disease: The Contribution of Electrophysiological Techniques. Vol. 12, Brain Sciences. 2022.","DOI":"10.3390\/brainsci12030402"},{"key":"1576_CR23","doi-asserted-by":"crossref","unstructured":"Binnewijzend MAA, Adriaanse SM, Van der Flier WM, Teunissen CE, de Munck JC, Stam CJ, et al. Brain network alterations in Alzheimer\u2019s disease measured by Eigenvector centrality in fMRI are related to cognition and CSF biomarkers. Hum Brain Mapp. 2014;35(5).","DOI":"10.1002\/hbm.22335"},{"issue":"5","key":"1576_CR24","doi-asserted-by":"publisher","first-page":"1466","DOI":"10.1093\/brain\/awx050","volume":"140","author":"M Yu","year":"2017","unstructured":"Yu M, Engels MMA, Hillebrand A, Van Straaten ECW, Gouw AA, Teunissen C, et al. Selective impairment of hippocampus and posterior hub areas in Alzheimer\u2019s disease: an MEG-based multiplex network study. Brain. 2017;140(5):1466\u201385.","journal-title":"Brain"},{"key":"1576_CR25","doi-asserted-by":"crossref","unstructured":"De Domenico M, Sasai S, Arenas A. Mapping multiplex hubs in human functional brain networks. 2016.","DOI":"10.3389\/fnins.2016.00326"},{"key":"1576_CR26","doi-asserted-by":"crossref","unstructured":"Grundman M, Petersen RC, Ferris SH, Thomas RG, Aisen PS, Bennett DA et al. Mild Cognitive Impairment Can Be Distinguished From Alzheimer Disease and Normal Aging for Clinical Trials [Internet]. 2004. http:\/\/archneur.jamanetwork.com\/","DOI":"10.1001\/archneur.61.1.59"},{"key":"1576_CR27","doi-asserted-by":"crossref","unstructured":"Oostenveld R, Fries P, Maris E, Schoffelen JM, FieldTrip. Open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data. Comput Intell Neurosci. 2011;2011.","DOI":"10.1155\/2011\/156869"},{"key":"1576_CR28","doi-asserted-by":"crossref","unstructured":"Franzmeier N, Buerger K, Teipel S, Stern Y, Dichgans M, Ewers M. Cognitive reserve moderates the association between functional network anti-correlations and memory in MCI. Neurobiol Aging. 2017;50.","DOI":"10.1016\/j.neurobiolaging.2016.11.013"},{"key":"1576_CR29","doi-asserted-by":"crossref","unstructured":"de Oliveira DR, Lima MAA, Silva LRM, Ferreira DD, Duque CA. Second order blind identification algorithm with exact model order estimation for harmonic and interharmonic decomposition with reduced complexity. Int J Electr Power Energy Syst. 2021;125.","DOI":"10.1016\/j.ijepes.2020.106415"},{"key":"1576_CR30","doi-asserted-by":"crossref","unstructured":"Tzourio-Mazoyer N, Landeau B, Papathanassiou D, Crivello F, Etard O, Delcroix N, et al. Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. NeuroImage. 2002;15(1).","DOI":"10.1006\/nimg.2001.0978"},{"key":"1576_CR31","doi-asserted-by":"crossref","unstructured":"Nolte G. The magnetic lead field theorem in the quasi-static approximation and its use for magnetoenchephalography forward calculation in realistic volume conductors. Phys Med Biol. 2003;48(22).","DOI":"10.1088\/0031-9155\/48\/22\/002"},{"key":"1576_CR32","doi-asserted-by":"crossref","unstructured":"Van Veen BD, Van Drongelen W, Yuchtman M, Suzuki A. Localization of brain electrical activity via linearly constrained minimum variance spatial filtering. IEEE Trans Biomed Eng. 1997;44(9).","DOI":"10.1109\/10.623056"},{"key":"1576_CR33","doi-asserted-by":"crossref","unstructured":"Bruns A, Eckhorn R, Jokeit H, Ebner A. Amplitude envelope correlation detects coupling among incoherent brain signals. Neuroreport. 2000;11(7).","DOI":"10.1097\/00001756-200005150-00029"},{"key":"1576_CR34","doi-asserted-by":"crossref","unstructured":"Siems M, Pape AA, Hipp JF, Siegel M. Measuring the cortical correlation structure of spontaneous oscillatory activity with EEG and MEG. NeuroImage. 2016;129.","DOI":"10.1016\/j.neuroimage.2016.01.055"},{"key":"1576_CR35","doi-asserted-by":"crossref","unstructured":"Zamm A, Debener S, Bauer AKR, Bleichner MG, Demos AP, Palmer C. Amplitude envelope correlations measure synchronous cortical oscillations in performing musicians. Ann N Y Acad Sci. 2018;1423(1).","DOI":"10.1111\/nyas.13738"},{"key":"1576_CR36","doi-asserted-by":"crossref","unstructured":"Colclough GL, Woolrich MW, Tewarie PK, Brookes MJ, Quinn AJ, Smith SM. How reliable are MEG resting-state connectivity metrics? NeuroImage. 2016;138.","DOI":"10.1016\/j.neuroimage.2016.05.070"},{"key":"1576_CR37","doi-asserted-by":"crossref","unstructured":"Schoonhoven DN, Briels CT, Hillebrand A, Scheltens P, Stam CJ, Gouw AA. Sensitive and reproducible MEG resting-state metrics of functional connectivity in Alzheimer\u2019s disease. Alzheimers Res Ther. 2022;14(1).","DOI":"10.1186\/s13195-022-00970-4"},{"issue":"2","key":"1576_CR38","doi-asserted-by":"publisher","first-page":"910","DOI":"10.1016\/j.neuroimage.2012.03.048","volume":"63","author":"MJ Brookes","year":"2012","unstructured":"Brookes MJ, Woolrich MW, Barnes GR. Measuring functional connectivity in MEG: a multivariate approach insensitive to linear source leakage. NeuroImage. 2012;63(2):910\u201320.","journal-title":"NeuroImage"},{"issue":"3","key":"1576_CR39","doi-asserted-by":"publisher","first-page":"1082","DOI":"10.1016\/j.neuroimage.2011.02.054","volume":"56","author":"MJ Brookes","year":"2011","unstructured":"Brookes MJ, Hale JR, Zumer JM, Stevenson CM, Francis ST, Barnes GR, et al. Measuring functional connectivity using MEG: methodology and comparison with fcMRI. NeuroImage. 2011;56(3):1082\u2013104.","journal-title":"NeuroImage"},{"key":"1576_CR40","doi-asserted-by":"crossref","unstructured":"Brandes U, Pich C. Centrality Estimation in Large Networks *. Int J Bifurcat Chaos. 2007;17.","DOI":"10.1142\/S0218127407018403"},{"issue":"1","key":"1576_CR41","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1016\/j.jneumeth.2007.03.024","volume":"164","author":"E Maris","year":"2007","unstructured":"Maris E, Oostenveld R. Nonparametric statistical testing of EEG- and MEG-data. J Neurosci Methods. 2007;164(1):177\u201390.","journal-title":"J Neurosci Methods"},{"key":"1576_CR42","doi-asserted-by":"crossref","unstructured":"Chuderski A. Fluid Intelligence and the Cross-Frequency Coupling of Neuronal Oscillations. Span J Psychol. 2016;19.","DOI":"10.1017\/sjp.2016.86"},{"key":"1576_CR43","doi-asserted-by":"crossref","unstructured":"Vivekananda U, Bush D, Bisby JA, Baxendale S, Rodionov R, Diehl B et al. Theta power and theta-gamma coupling support long-term spatial memory retrieval. Hippocampus. 2021;31(2).","DOI":"10.1002\/hipo.23284"},{"issue":"10","key":"1576_CR44","doi-asserted-by":"publisher","first-page":"2380","DOI":"10.1093\/cercor\/bhs227","volume":"23","author":"K Hwang","year":"2013","unstructured":"Hwang K, Hallquist MN, Luna B. The development of hub architecture in the human functional brain network. Cereb Cortex. 2013;23(10):2380\u201393.","journal-title":"Cereb Cortex"},{"key":"1576_CR45","doi-asserted-by":"publisher","first-page":"111","DOI":"10.31887\/DCNS.2018.20.2\/osporns","volume":"20","author":"O Sporns","year":"2018","unstructured":"Sporns O. Graph theory methods: applications in brain networks. Dialogues Clin Neurosci. 2018;20:111\u201321.","journal-title":"Dialogues Clin Neurosci"},{"key":"1576_CR46","doi-asserted-by":"crossref","unstructured":"Damoiseaux JS, Prater KE, Miller BL, Greicius MD. Functional connectivity tracks clinical deterioration in Alzheimer\u2019s disease. Neurobiol Aging. 2012;33(4).","DOI":"10.1016\/j.neurobiolaging.2011.06.024"},{"issue":"2","key":"1576_CR47","doi-asserted-by":"publisher","first-page":"493","DOI":"10.3233\/JAD-141872","volume":"44","author":"P Cuesta","year":"2015","unstructured":"Cuesta P, Garc\u00e9s P, Castellanos NP, L\u00f3pez ME, Aurtenetxe S, Bajo R, et al. Influence of the APOE \u03b54 allele and mild cognitive impairment diagnosis in the disruption of the MEG resting state functional connectivity in sources space. J Alzheimer\u2019s Disease. 2015;44(2):493\u2013505.","journal-title":"J Alzheimer\u2019s Disease"},{"key":"1576_CR48","doi-asserted-by":"crossref","unstructured":"Davis SW, Dennis NA, Daselaar SM, Fleck MS, Cabeza R. Qu\u00e9 PASA? The posterior-anterior shift in aging. Cereb Cortex. 2008;18(5).","DOI":"10.1093\/cercor\/bhm155"},{"key":"1576_CR49","doi-asserted-by":"crossref","unstructured":"Zhang H, Lee A, Qiu A. A posterior-to-anterior shift of brain functional dynamics in aging. Brain Struct Funct. 2017;222(8).","DOI":"10.1007\/s00429-017-1425-z"},{"key":"1576_CR50","doi-asserted-by":"crossref","unstructured":"Desgranges B, Mevel K, Ch\u00e9telat G, Eustache F. The default mode network in healthy aging and Alzheimer\u2019s disease. Int J Alzheimer\u2019s Disease. 2011.","DOI":"10.4061\/2011\/535816"},{"key":"1576_CR51","doi-asserted-by":"crossref","unstructured":"Agosta F, Pievani M, Geroldi C, Copetti M, Frisoni GB, Filippi M. Resting state fMRI in Alzheimer\u2019s disease: beyond the default mode network. Neurobiol Aging. 2012;33(8).","DOI":"10.1016\/j.neurobiolaging.2011.06.007"},{"issue":"2","key":"1576_CR52","doi-asserted-by":"publisher","first-page":"547","DOI":"10.1093\/brain\/awv338","volume":"139","author":"DT Jones","year":"2016","unstructured":"Jones DT, Knopman DS, Gunter JL, Graff-Radford J, Vemuri P, Boeve BF, et al. Cascading network failure across the Alzheimer\u2019s disease spectrum. Brain. 2016;139(2):547\u201362.","journal-title":"Brain"},{"key":"1576_CR53","doi-asserted-by":"crossref","unstructured":"Qi H, Liu H, Hu H, He H, Zhao X. Primary disruption of the memory-related subsystems of the Default Mode Network in Alzheimer\u2019s Disease: resting-state functional connectivity MRI study. Front Aging Neurosci. 2018;10.","DOI":"10.3389\/fnagi.2018.00344"},{"key":"1576_CR54","doi-asserted-by":"crossref","unstructured":"Sperling RA, Dickerson BC, Pihlajamaki M, Vannini P, LaViolette PS, Vitolo OV et al. Functional alterations in memory networks in early alzheimer\u2019s disease. Vol. 12, NeuroMolecular Medicine. 2010.","DOI":"10.1007\/s12017-009-8109-7"},{"issue":"2","key":"1576_CR55","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1023\/A:1023832305702","volume":"13","author":"X Delbeuck","year":"2003","unstructured":"Delbeuck X, Van Der Linden M, Collette F. Alzheimer\u2019s disease as a disconnection syndrome? Neuropsychol Rev. 2003;13(2):79\u201392.","journal-title":"Neuropsychol Rev"},{"issue":"2","key":"1576_CR56","doi-asserted-by":"publisher","first-page":"598","DOI":"10.1148\/radiol.10091701","volume":"256","author":"HY Zhang","year":"2010","unstructured":"Zhang HY, Wang SJ, Liu B, Ma ZL, Yang M, Zhang ZJ, et al. Resting brain connectivity: changes during the progress of Alzheimer disease. Radiology. 2010;256(2):598\u2013606.","journal-title":"Radiology"},{"issue":"12","key":"1576_CR57","doi-asserted-by":"publisher","first-page":"e14395","DOI":"10.1111\/psyp.14395","volume":"60","author":"E, R Paitel","year":"2023","unstructured":"Paitel E R, Nielson K A. Cerebellar EEG source localization reveals age-related compensatory activity moderated by genetic risk for Alzheimer\u2019s disease. Psychophysiology. 2023;60(12):e14395.","journal-title":"Psychophysiology"},{"key":"1576_CR58","volume-title":"Neuronal excitation\/inhibition imbalance: core element of a translational perspective on Alzheimer pathophysiology","author":"F Maest\u00fa","year":"2021","unstructured":"Maest\u00fa F, de Haan W, Busche MA, DeFelipe J. Neuronal excitation\/inhibition imbalance: core element of a translational perspective on Alzheimer pathophysiology. Ageing Research Reviews. Volume 69. Elsevier Ireland Ltd; 2021."},{"key":"1576_CR59","doi-asserted-by":"publisher","first-page":"28","DOI":"10.3389\/neuro.05.028.2009","volume":"3","author":"V Garcia-Marin","year":"2009","unstructured":"Garcia-Marin V, Blazquez-Llorca L, Rodriguez JR, Boluda S, Muntane G, Ferrer I, et al. Diminished perisomatic GABAergic terminals on cortical neurons adjacent to amyloid plaques. Front Neuroanat. 2009;3:28.","journal-title":"Front Neuroanat"},{"key":"1576_CR60","first-page":"1183","volume-title":"Synergy between amyloid-\u03b2 and tau in Alzheimer\u2019s disease","author":"MA Busche","year":"2020","unstructured":"Busche MA, Hyman BT. Synergy between amyloid-\u03b2 and tau in Alzheimer\u2019s disease. Volume 23. Nature Neuroscience. Nature Research; 2020. pp. 1183\u201393."},{"issue":"1","key":"1576_CR61","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1093\/brain\/awn262","volume":"132","author":"CJ Stam","year":"2009","unstructured":"Stam CJ, De Haan W, Daffertshofer A, Jones BF, Manshanden I, Van Walsum C. AM. Graph theoretical analysis of magnetoencephalographic functional connectivity in Alzheimer\u2019s disease. Brain. 2009;132(1):213\u201324.","journal-title":"Brain"},{"key":"1576_CR62","doi-asserted-by":"crossref","unstructured":"Wang R, Wang J, Yu H, Wei X, Yang C, Deng B. Decreased coherence and functional connectivity of electroencephalograph in Alzheimer\u2019s disease. Chaos. 2014;24(3).","DOI":"10.1063\/1.4896095"},{"key":"1576_CR63","doi-asserted-by":"crossref","unstructured":"Hata M, Kazui H, Tanaka T, Ishii R, Canuet L, Pascual-Marqui RD et al. Functional connectivity assessed by resting state EEG correlates with cognitive decline of Alzheimer\u2019s disease - an eLORETA study. Clin Neurophysiol. 2016;127(2).","DOI":"10.1016\/j.clinph.2015.10.030"},{"key":"1576_CR64","doi-asserted-by":"crossref","unstructured":"Huang C, Wahlund LO, Dierks T, Julin P, Winblad B, Jelic V. Discrimination of Alzheimer\u2019s disease and mild cognitive impairment by equivalent EEG sources: a cross-sectional and longitudinal study. Clin Neurophysiol. 2000;111(11).","DOI":"10.1016\/S1388-2457(00)00454-5"},{"key":"1576_CR65","doi-asserted-by":"crossref","unstructured":"L\u00f3pez ME, Aurtenetxe S, Pereda E, Cuesta P, Castellanos NP, Bru\u00f1a R et al. Cognitive reserve is associated with the functional organization of the brain in healthy aging: A MEG study. Front Aging Neurosci. 2014;6(JUN).","DOI":"10.3389\/fnagi.2014.00125"},{"key":"1576_CR66","doi-asserted-by":"crossref","unstructured":"Cabral J, Castaldo F, Vohryzek J, Litvak V, Bick C, Lambiotte R et al. Metastable oscillatory modes emerge from synchronization in the brain spacetime connectome. Commun Phys. 2022;5(1).","DOI":"10.1038\/s42005-022-00950-y"},{"key":"1576_CR67","doi-asserted-by":"crossref","unstructured":"Engels MMA, Stam CJ, van der Flier WM, Scheltens P, de Waal H, van Straaten ECW. Declining functional connectivity and changing hub locations in Alzheimer\u2019s disease: an EEG study. BMC Neurol. 2015;15(1).","DOI":"10.1186\/s12883-015-0400-7"},{"key":"1576_CR68","doi-asserted-by":"publisher","first-page":"116538","DOI":"10.1016\/j.neuroimage.2020.116538","volume":"209","author":"M Siems","year":"2020","unstructured":"Siems M, Siegel M. Dissociated neuronal phase- and amplitude-coupling patterns in the human brain. Neuroimage. 2020;209:116538.","journal-title":"Neuroimage"},{"issue":"11","key":"1576_CR69","doi-asserted-by":"publisher","first-page":"2347","DOI":"10.1016\/j.clinph.2017.04.018","volume":"128","author":"L Koelewijn","year":"2017","unstructured":"Koelewijn L, Bompas A, Tales A, Brookes MJ, Muthukumaraswamy SD, Bayer A, et al. Alzheimer\u2019s disease disrupts alpha and beta-band resting-state oscillatory network connectivity. Clin Neurophysiol. 2017;128(11):2347\u201357.","journal-title":"Clin Neurophysiol"},{"key":"1576_CR70","doi-asserted-by":"publisher","first-page":"782399","DOI":"10.3389\/fnsys.2021.782399","volume":"15","author":"A Traikapi","year":"2021","unstructured":"Traikapi A, Konstantinou N. Gamma Oscillations in Alzheimer\u2019s Disease and Their Potential Therapeutic Role. Front Syst Neurosci. 2021;15:782399.","journal-title":"Front Syst Neurosci"},{"key":"1576_CR71","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1017\/S1041610207005509","volume":"20","author":"K Schmidtke","year":"2008","unstructured":"Schmidtke K, Hermeneit S. High rate of conversion to Alzheimer\u2019s disease in a cohort of amnestic MCI patients. Int Psychogeriatr. 2008;20:96\u2013108.","journal-title":"Int Psychogeriatr"},{"key":"1576_CR72","doi-asserted-by":"crossref","unstructured":"Dubois B, Albert ML. Amnestic MCI or prodromal Alzheimer\u2019s disease? 3, Lancet Neurol. 2004.","DOI":"10.1016\/S1474-4422(04)00710-0"}],"container-title":["Alzheimer's Research & Therapy"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13195-024-01576-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s13195-024-01576-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13195-024-01576-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,9]],"date-time":"2024-10-09T06:04:10Z","timestamp":1728453850000},"score":1,"resource":{"primary":{"URL":"https:\/\/alzres.biomedcentral.com\/articles\/10.1186\/s13195-024-01576-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,9]]},"references-count":72,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2024,12]]}},"alternative-id":["1576"],"URL":"https:\/\/doi.org\/10.1186\/s13195-024-01576-8","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/2024.01.30.24302028","asserted-by":"object"}]},"ISSN":["1758-9193"],"issn-type":[{"value":"1758-9193","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10,9]]},"assertion":[{"value":"6 May 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 September 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 October 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Informed consent was obtained from all participants. The ethics committee of Hospital Cl\u00ednico San Carlos approved the study, and the procedure was carried out in accordance with the approved guidelines and regulations.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"216"}}