{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T00:21:39Z","timestamp":1791591699486,"version":"4.3.4"},"reference-count":111,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2024,6,20]],"date-time":"2024-06-20T00:00:00Z","timestamp":1718841600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,6,20]],"date-time":"2024-06-20T00:00:00Z","timestamp":1718841600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Predoctoral researchers grant from Universidad Complutense de Madrid and co-founded by Santander bank","award":["CT63\/19-CT64\/19"],"award-info":[{"award-number":["CT63\/19-CT64\/19"]}]},{"name":"Predoctoral researchers grant from Universidad Complutense de Madrid and co-founded by Santander bank","award":["CT42\/18-CT43\/18"],"award-info":[{"award-number":["CT42\/18-CT43\/18"]}]},{"name":"Spanish Ministry of Health and Social Politics","award":["SPI\/2010\/134 and SPI\/2010\/051"],"award-info":[{"award-number":["SPI\/2010\/134 and SPI\/2010\/051"]}]},{"name":"Ministry of Economy and Competitiveness: General Directorate of Scientific Research","award":["PSI2012-38375-C03-01 and PSI2015-68793-C3-1-R"],"award-info":[{"award-number":["PSI2012-38375-C03-01 and PSI2015-68793-C3-1-R"]}]},{"DOI":"10.13039\/501100003329","name":"Ministerio de Econom\u00eda y Competitividad","doi-asserted-by":"publisher","award":["PSI2015-68793-C3-1-R, PSI2015-68793-C3-2-R, PSI2015-68793-C3-3-R, RTI2018-098762-B-C31"],"award-info":[{"award-number":["PSI2015-68793-C3-1-R, PSI2015-68793-C3-2-R, PSI2015-68793-C3-3-R, RTI2018-098762-B-C31"]}],"id":[{"id":"10.13039\/501100003329","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Spanish Ministry of Health","award":["PR23\/14"],"award-info":[{"award-number":["PR23\/14"]}]},{"name":"Spanish Ministry of Science and Economy Grants","award":["PSI2009-14415-C03-01"],"award-info":[{"award-number":["PSI2009-14415-C03-01"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Brain Topogr"],"published-print":{"date-parts":[[2024,11]]},"DOI":"10.1007\/s10548-024-01064-0","type":"journal-article","created":{"date-parts":[[2024,6,20]],"date-time":"2024-06-20T04:02:11Z","timestamp":1718856131000},"page":"1068-1088","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["When Maturation is Not Linear: Brain Oscillatory Activity in the Process of Aging as Measured by Electrophysiology"],"prefix":"10.1007","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1681-9016","authenticated-orcid":false,"given":"Sandra","family":"Doval","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"L\u00f3pez-Sanz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ricardo","family":"Bru\u00f1a","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pablo","family":"Cuesta","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luis","family":"Ant\u00f3n-Toro","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ignacio","family":"Taguas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luc\u00eda","family":"Torres-Sim\u00f3n","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brenda","family":"Chino","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fernando","family":"Maest\u00fa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,6,20]]},"reference":[{"key":"1064_CR1","unstructured":"Algin D, Adapinar D, Erdinc O (2020) EEG biomarker for Alzheimer\u2019s Disease. Neurodegenerative Diseases-Molecular Mech Curr Therapeutic Approaches. https:\/\/www.intechopen.com\/chapters\/73370"},{"key":"1064_CR2","doi-asserted-by":"publisher","unstructured":"Arns M, Conners CK, Kraemer HC (2013) A decade of EEG Theta\/Beta Ratio Research in ADHD: a Meta-analysis. J Atten Disord 17(5). https:\/\/doi.org\/10.1177\/1087054712460087","DOI":"10.1177\/1087054712460087"},{"key":"1064_CR3","doi-asserted-by":"publisher","unstructured":"Babiloni C, Binetti G, Cassarino A, Dal Forno G, del Percio C, Ferreri F, Ferri R, Frisoni G, Galderisi S, Hirata K, Lanuzza B, Miniussi C, Mucci A, Nobili F, Rodriguez G, Romani GL, Rossini PM (2006) Sources of cortical rhythms in adults during physiological aging: a multicentric EEG study. Hum Brain Mapp 27(2). https:\/\/doi.org\/10.1002\/hbm.20175","DOI":"10.1002\/hbm.20175"},{"key":"1064_CR4","doi-asserted-by":"publisher","unstructured":"Babiloni C, Del Percio C, Lizio R, Noce G, Cordone S, Lopez S, Soricelli A, Ferri R, Pascarelli MT, Nobili F, Arnaldi D, Aarsland D, Orzi F, Buttinelli C, Giubilei F, Onofrj M, Stocchi F, Stirpe P, Fuhr P, Bonanni L (2017) Abnormalities of cortical neural synchronization mechanisms in patients with dementia due to Alzheimer\u2019s and Lewy body diseases: an EEG study. Neurobiology of Aging, 55. https:\/\/doi.org\/10.1016\/j.neurobiolaging.2017.03.030","DOI":"10.1016\/j.neurobiolaging.2017.03.030"},{"issue":"2","key":"1064_CR5","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1111\/J.1756-8765.2011.01141.X","volume":"3","author":"D Badre","year":"2011","unstructured":"Badre D (2011) Defining an ontology of Cognitive Control requires attention to component interactions. Top Cogn Sci 3(2):217\u2013221. https:\/\/doi.org\/10.1111\/J.1756-8765.2011.01141.X","journal-title":"Top Cogn Sci"},{"key":"1064_CR6","doi-asserted-by":"publisher","unstructured":"Barry RJ, de Blasio FM (2017) EEG differences between eyes-closed and eyes-open resting remain in healthy ageing. Biological Psychology, 129. https:\/\/doi.org\/10.1016\/j.biopsycho.2017.09.010","DOI":"10.1016\/j.biopsycho.2017.09.010"},{"key":"1064_CR7","doi-asserted-by":"publisher","unstructured":"Bastarrika-Iriarte A, Caballero-Gaudes C (2019) Closing eyes during auditory memory retrieval modulates alpha rhythm but does not alter tau rhythm. NeuroImage 197. https:\/\/doi.org\/10.1016\/j.neuroimage.2019.04.053","DOI":"10.1016\/j.neuroimage.2019.04.053"},{"issue":"1","key":"1064_CR8","first-page":"82","volume":"10","author":"OM Bazanova","year":"2008","unstructured":"Bazanova OM (2008) Age-related alpha activity change differs for males and females and for low and high alpha frequency EEG patterns. Revista Esp De Neuropsicologia 10(1):82\u201383. https:\/\/elibrary.ru\/item.asp?id=35279482","journal-title":"Revista Esp De Neuropsicologia"},{"key":"1064_CR9","doi-asserted-by":"crossref","unstructured":"Bell M, neuropsychology CW-D (2007) & undefined. (2007). Changes in brain functioning from infancy to early childhood: Evidence from EEG power and coherence during working memory tasks. Taylor & Francis, 31(1), 21\u201338. https:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/87565640709336885","DOI":"10.1207\/s15326942dn3101_2"},{"key":"1064_CR10","doi-asserted-by":"publisher","unstructured":"Belouchrani A, Abed-Meraim K, Cardoso JF, Moulines E (1997) A blind source separation technique using second-order statistics. IEEE Trans Signal Process 45(2). https:\/\/doi.org\/10.1109\/78.554307","DOI":"10.1109\/78.554307"},{"key":"1064_CR11","doi-asserted-by":"publisher","unstructured":"Benjamini Y, Yekutieli D (2005) False discovery rate-adjusted multiple confidence intervals for selected parameters. J Am Stat Association (Vol 100(469). https:\/\/doi.org\/10.1198\/016214504000001907","DOI":"10.1198\/016214504000001907"},{"key":"1064_CR12","doi-asserted-by":"publisher","unstructured":"Breslau J, Starr A, Sicotte N, Higa J, Buchsbaum MS (1989) Topographic EEG changes with normal aging and SDAT. Electroencephalogr Clin Neurophysiol 72(4). https:\/\/doi.org\/10.1016\/0013-4694(89)90063-1","DOI":"10.1016\/0013-4694(89)90063-1"},{"key":"1064_CR13","doi-asserted-by":"publisher","unstructured":"Cabeza R, Anderson ND, Houle S, Mangels JA, Nyberg L (2000) Age-related differences in neural activity during item and temporal-order memory retrieval: a positron emission tomography study. J Cogn Neurosci 12(1). https:\/\/doi.org\/10.1162\/089892900561832","DOI":"10.1162\/089892900561832"},{"key":"1064_CR14","doi-asserted-by":"publisher","unstructured":"Caspi A, Roberts B, Psychol RS (2005) -Annu. Rev., & undefined. (2005). Personality development: Stability and change. Annualreviews.Org, 56, 453\u2013484. https:\/\/doi.org\/10.1146\/annurev.psych.55.090902.141913","DOI":"10.1146\/annurev.psych.55.090902.141913"},{"key":"1064_CR15","doi-asserted-by":"crossref","unstructured":"Cesnaite E, Steinfath P, Idaji MJ, Stephani T, Haufe S, Sander C, Hensch T, Hegerl U, Riedel-heller S, R\u00f6hr S, Schroeter ML, Witte AV, Villringer A, Nikulin Vv (2021) Alterations in rhythmic and non-rhythmic resting-state EEG activity and their link to cognition in older age. bioRxiv","DOI":"10.1101\/2021.08.26.457768"},{"key":"1064_CR16","doi-asserted-by":"publisher","unstructured":"Chechik G, Meilijson I, Ruppin E (1999) Neuronal regulation: a mechanism for synaptic pruning during brain maturation. Neural Comput 11(8). https:\/\/doi.org\/10.1162\/089976699300016089","DOI":"10.1162\/089976699300016089"},{"key":"1064_CR17","doi-asserted-by":"publisher","unstructured":"Chiang AKI, Rennie CJ, Robinson PA, van Albada SJ, Kerr CC (2011) Age trends and sex differences of alpha rhythms including split alpha peaks. Clin Neurophysiol 122(8). https:\/\/doi.org\/10.1016\/j.clinph.2011.01.040","DOI":"10.1016\/j.clinph.2011.01.040"},{"key":"1064_CR18","doi-asserted-by":"publisher","unstructured":"Coup\u00e9 P, Catheline G, Lanuza E, Manj\u00f3n JV (2017) Towards a unified analysis of brain maturation and aging across the entire lifespan: a MRI analysis. Hum Brain Mapp 38(11). https:\/\/doi.org\/10.1002\/hbm.23743","DOI":"10.1002\/hbm.23743"},{"key":"1064_CR19","doi-asserted-by":"publisher","unstructured":"De Waal H, Stam CJ, Lansbergen MM, Wieggers RL, Kamphuis PJGH, Scheltens P, Maest\u00fa F, Van Straaten ECW (2014) The effect of souvenaid on functional brain network organisation in patients with mild Alzheimer\u2019s disease: a randomised controlled study. PLoS ONE 9(1). https:\/\/doi.org\/10.1371\/JOURNAL.PONE.0086558","DOI":"10.1371\/JOURNAL.PONE.0086558"},{"key":"1064_CR20","doi-asserted-by":"publisher","unstructured":"Donoghue T, Haller M, Peterson EJ, Varma P, Sebastian P, Gao R, Noto T, Lara AH, Wallis JD, Knight RT, Shestyuk A, Voytek B (2020) Parameterizing neural power spectra into periodic and aperiodic components. Nat Neurosci 23(12). https:\/\/doi.org\/10.1038\/s41593-020-00744-x","DOI":"10.1038\/s41593-020-00744-x"},{"key":"1064_CR21","doi-asserted-by":"publisher","unstructured":"Dustman RE, Shearer DE, Emmerson RY (1993) EEG and event-related potentials in normal aging. In Progress in Neurobiology (Vol. 41, Issue 3). https:\/\/doi.org\/10.1016\/0301-0082(93)90005-D","DOI":"10.1016\/0301-0082(93)90005-D"},{"key":"1064_CR22","doi-asserted-by":"publisher","unstructured":"Engel AK, Fries P (2010) Beta-band oscillations-signalling the status quo? In Current Opinion in Neurobiology (Vol. 20, Issue 2). https:\/\/doi.org\/10.1016\/j.conb.2010.02.015","DOI":"10.1016\/j.conb.2010.02.015"},{"key":"1064_CR23","doi-asserted-by":"publisher","unstructured":"Feinberg I, Campbell IG (2010) Sleep EEG changes during adolescence: An index of a fundamental brain reorganization. In Brain and Cognition (Vol. 72, Issue 1). https:\/\/doi.org\/10.1016\/j.bandc.2009.09.008","DOI":"10.1016\/j.bandc.2009.09.008"},{"key":"1064_CR24","first-page":"1","volume":"62","author":"AP Field","year":"2012","unstructured":"Field AP, Miles JNV, Field ZC (2012) Discovering statistics using R. Discovering Stat Using R 62:1\u2013992. http:\/\/sro.sussex.ac.uk\/38823\/","journal-title":"Discovering Stat Using R"},{"key":"1064_CR25","doi-asserted-by":"publisher","unstructured":"Fiers WD, Leonardi I, Iliev ID (2020) From Birth and throughout Life: Fungal Microbiota in Nutrition and Metabolic Health. In Annual Review of Nutrition (Vol. 40). https:\/\/doi.org\/10.1146\/annurev-nutr-013120-043659","DOI":"10.1146\/annurev-nutr-013120-043659"},{"key":"1064_CR26","doi-asserted-by":"publisher","unstructured":"Finnigan S, Robertson IH (2011) Resting EEG theta power correlates with cognitive performance in healthy older adults. Psychophysiology 48(8). https:\/\/doi.org\/10.1111\/j.1469-8986.2010.01173.x","DOI":"10.1111\/j.1469-8986.2010.01173.x"},{"key":"1064_CR27","doi-asserted-by":"publisher","unstructured":"Fischl B, Salat DH, Busa E, Albert M, Dieterich M, Haselgrove C, van der Kouwe A, Killiany R, Kennedy D, Klaveness S, Montillo A, Makris N, Rosen B, Dale AM (2002) Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron 33(3). https:\/\/doi.org\/10.1016\/S0896-6273(02)00569-X","DOI":"10.1016\/S0896-6273(02)00569-X"},{"key":"1064_CR28","doi-asserted-by":"publisher","unstructured":"Fleming R, Kelsey TW, Anderson RA, Wallace WH, Nelson SM (2012) Interpreting human follicular recruitment and antim\u00fcllerian hormone concentrations throughout life. Fertil Steril 98(5). https:\/\/doi.org\/10.1016\/j.fertnstert.2012.07.1114","DOI":"10.1016\/j.fertnstert.2012.07.1114"},{"key":"1064_CR29","unstructured":"Forman JL, de Dios EDP, Symeonidis I, Duart J, Kerrigan JR, Salzar RS, Balasubramanian S, Segui-gomez M, Kent RW (2012) Fracture tolerance related to skeletal development and aging throughout life: 3-point bending of human femurs. 2012 IRCOBI Conference Proceedings - International Research Council on the Biomechanics of Injury"},{"key":"1064_CR30","doi-asserted-by":"publisher","unstructured":"Franke K, Gaser C (2012) Longitudinal changes in individual BrainAGE in healthy aging, mild cognitive impairment, and Alzheimer\u2019s Disease. GeroPsych: J Gerontopsychology Geriatric Psychiatry 25(4). https:\/\/doi.org\/10.1024\/1662-9647\/a000074","DOI":"10.1024\/1662-9647\/a000074"},{"key":"1064_CR31","doi-asserted-by":"publisher","unstructured":"Galloway A (1993) The evolutionary biology of aging. By Michael R. Rose. New York: Oxford University Press. 1991. ix\u2009+\u2009221 pp. ISBN 0-19-506133-0. $35.00 (cloth). American Journal of Physical Anthropology, 91(2). https:\/\/doi.org\/10.1002\/ajpa.1330910217","DOI":"10.1002\/ajpa.1330910217"},{"key":"1064_CR32","doi-asserted-by":"publisher","unstructured":"Garc\u00e9s P, L\u00f3pez-Sanz D, Maest\u00fa F, Pereda E (2017) Choice of magnetometers and gradiometers after signal space separation. Sens (Switzerland) 17(12). https:\/\/doi.org\/10.3390\/s17122926","DOI":"10.3390\/s17122926"},{"key":"1064_CR33","unstructured":"Gelman A, Hill J (2006) Data analysis using regression and multilevel\/hierarchical models. https:\/\/books.google.es\/books?hl=es&lr=&id=c9xLKzZWoZ4C&oi=fnd&pg=PR17&dq=Gelman,+A.,+%26+Hill,+J.+(2007).+Data+analysis+using+regression+and+multilevel\/hierarchical+models.+Cambridge+University+Press.&ots=bdMaJ_Qtsc&sig=Cqytjq8PPzRd-q_k29ZlxGYahvI"},{"key":"1064_CR34","doi-asserted-by":"crossref","unstructured":"Gibb R, Kovalchuk A (2018) Brain Development. Neurobiol Brain Behav Dev, 3\u201327. https:\/\/www.sciencedirect.com\/science\/article\/pii\/B9780128040362000017","DOI":"10.1016\/B978-0-12-804036-2.00001-7"},{"key":"1064_CR35","doi-asserted-by":"publisher","unstructured":"Golombek DA, Rosenstein RE (2010) Physiology of circadian entrainment. In Physiological Reviews (Vol. 90, Issue 3). https:\/\/doi.org\/10.1152\/physrev.00009.2009","DOI":"10.1152\/physrev.00009.2009"},{"key":"1064_CR36","doi-asserted-by":"publisher","unstructured":"Good CD, Johnsrude IS, Ashburner J, Henson RNA, Friston KJ, Frackowiak RSJ (2001) A voxel-based morphometric study of ageing in 465 normal adult human brains. NeuroImage 14(1 I). https:\/\/doi.org\/10.1006\/nimg.2001.0786","DOI":"10.1006\/nimg.2001.0786"},{"key":"1064_CR37","doi-asserted-by":"publisher","unstructured":"Grydeland H, V\u00e9rtes PE, V\u00e1\u0161a F, Romero-Garcia R, Whitaker K, Alexander-Bloch AF, Bj\u00f8rnerud A, Patel AX, Sederevi\u010dius D, Tamnes CK, Westlye LT, White SR, Walhovd KB, Fjell AM, Bullmore ET (2019) Waves of maturation and senescence in micro-structural MRI markers of human cortical myelination over the lifespan. Cereb Cortex 29(3). https:\/\/doi.org\/10.1093\/cercor\/bhy330","DOI":"10.1093\/cercor\/bhy330"},{"key":"1064_CR38","volume-title":"Introduction to mediation, moderation, and conditional process analysis: a regression-based approach","author":"AF Hayes","year":"2018","unstructured":"Hayes AF (2018) Introduction to mediation, moderation, and conditional process analysis: a regression-based approach, 2nd edn. The Guilford, New York, NY","edition":"2"},{"key":"1064_CR39","doi-asserted-by":"publisher","unstructured":"Hsieh L-T, Ranganath C (2013) Frontal midline theta oscillations during working memory maintenance and episodic encoding and retrieval. https:\/\/doi.org\/10.1016\/j.neuroimage.2013.08.003","DOI":"10.1016\/j.neuroimage.2013.08.003"},{"key":"1064_CR40","doi-asserted-by":"publisher","unstructured":"Hunter JD (2007) Matplotlib: A 2D Graphics Environment, Computing in Science & Engineering, vol. 9, no. 3, pp. 90\u201395, https:\/\/doi.org\/10.1109\/MCSE.2007.55","DOI":"10.1109\/MCSE.2007.55"},{"key":"1064_CR41","doi-asserted-by":"publisher","unstructured":"Huttenlocher PR, Dabholkar AS (1997) Regional differences in synaptogenesis in human cerebral cortex. J Comp Neurol 387(2). https:\/\/doi.org\/10.1002\/(SICI)1096-9861(19971020)387:2<167::AID-CNE1>3.0.CO;2-Z","DOI":"10.1002\/(SICI)1096-9861(19971020)387:2<167::AID-CNE1>3.0.CO;2-Z"},{"key":"1064_CR43","doi-asserted-by":"publisher","unstructured":"Jensen O, Mazaheri A (2010) Shaping functional architecture by oscillatory alpha activity: gating by inhibition. Front Hum Neurosci 4. https:\/\/doi.org\/10.3389\/fnhum.2010.00186","DOI":"10.3389\/fnhum.2010.00186"},{"issue":"8","key":"1064_CR42","doi-asserted-by":"publisher","first-page":"877","DOI":"10.1093\/CERCOR\/12.8.877","volume":"12","author":"O Jensen","year":"2002","unstructured":"Jensen O, Gelfand J, Kounios J, Lisman JE (2002) Oscillations in the alpha band (9\u201312 hz) increase with memory load during retention in a short-term memory task. Cereb Cortex 12(8):877\u2013882. https:\/\/doi.org\/10.1093\/CERCOR\/12.8.877","journal-title":"Cereb Cortex"},{"key":"1064_CR44","doi-asserted-by":"publisher","unstructured":"Jensen O, Spaak E, Zumer JM (2019) Human brain oscillations: From physiological mechanisms to analysis and cognition. In Magnetoencephalography: From Signals to Dynamic Cortical Networks: Second Edition. https:\/\/doi.org\/10.1007\/978-3-030-00087-5_17","DOI":"10.1007\/978-3-030-00087-5_17"},{"key":"1064_CR45","doi-asserted-by":"publisher","unstructured":"Jernigan TL, Archibald SL, Fennema-Notestine C, Gamst AC, Stout JC, Bonner J, Hesselink JR (2001) Effects of age on tissues and regions of the cerebrum and cerebellum. Neurobiol Aging 22(4). https:\/\/doi.org\/10.1016\/S0197-4580(01)00217-2","DOI":"10.1016\/S0197-4580(01)00217-2"},{"key":"1064_CR46","doi-asserted-by":"publisher","unstructured":"Karaka\u015f S (2020) A review of theta oscillation and its functional correlates. Int J Psychophysiol 157. https:\/\/doi.org\/10.1016\/j.ijpsycho.2020.04.008","DOI":"10.1016\/j.ijpsycho.2020.04.008"},{"issue":"2\u20133","key":"1064_CR48","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1016\/S0165-0173(98)00056-3","volume":"29","author":"W Klimesch","year":"1999","unstructured":"Klimesch W (1999) EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis. Brain Res Rev 29(2\u20133):169\u2013195. https:\/\/doi.org\/10.1016\/S0165-0173(98)00056-3","journal-title":"Brain Res Rev"},{"key":"1064_CR47","doi-asserted-by":"publisher","first-page":"606","DOI":"10.1016\/j.tics.2012.10.007","volume":"12","author":"Klimesch","year":"2012","unstructured":"Klimesch (2012) Alpha-band oscillations, attention, and controlled access to stored information. Trends Cogn Sci 12:606\u2013617. https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1364661312002434","journal-title":"Trends Cogn Sci"},{"key":"1064_CR49","doi-asserted-by":"publisher","unstructured":"Kuhlman WN (1978) Functional topography of the human mu rhythm. Electroencephalogr Clin Neurophysiol 44(1). https:\/\/doi.org\/10.1016\/0013-4694(78)90107-4","DOI":"10.1016\/0013-4694(78)90107-4"},{"key":"1064_CR50","doi-asserted-by":"publisher","unstructured":"Lehtel\u00e4 L, Salmelin R, Hari R (1997) Evidence for reactive magnetic 10-Hz rhythm in the human auditory cortex. Neurosci Lett 222(2). https:\/\/doi.org\/10.1016\/S0304-3940(97)13361-4","DOI":"10.1016\/S0304-3940(97)13361-4"},{"key":"1064_CR51","doi-asserted-by":"publisher","unstructured":"Leidal AM, Levine B, Debnath J (2018) Autophagy and the cell biology of age-related disease. Nat Cell Biology (Vol 20. https:\/\/doi.org\/10.1038\/s41556-018-0235-8","DOI":"10.1038\/s41556-018-0235-8"},{"key":"1064_CR52","doi-asserted-by":"publisher","unstructured":"Leirer VM, Wienbruch C, Kolassa S, Schlee W, Elbert T, Kolassa IT (2011) Changes in cortical slow wave activity in healthy aging. Brain Imaging Behav 5(3). https:\/\/doi.org\/10.1007\/s11682-011-9126-3","DOI":"10.1007\/s11682-011-9126-3"},{"issue":"4","key":"1064_CR53","doi-asserted-by":"publisher","first-page":"678","DOI":"10.1111\/J.1756-8765.2010.01100.X","volume":"2","author":"A Lenartowicz","year":"2010","unstructured":"Lenartowicz A, Kalar DJ, Congdon E, Poldrack RA (2010) Towards an ontology of Cognitive Control. Top Cogn Sci 2(4):678\u2013692. https:\/\/doi.org\/10.1111\/J.1756-8765.2010.01100.X","journal-title":"Top Cogn Sci"},{"key":"1064_CR54","unstructured":"Liu T, Guo S, Liu H, Kang R, Bai M, Jiang J, Wen W, Pan X, Tai J, Li J, Cheng J, Jing J, Wu Z, Niu H, Zhu H, Li Z, Wang Y, Brodaty H, Sachdev P, Li D (2022) Network resilience in the aging brain. https:\/\/arxiv.org\/abs\/2202.01516v1"},{"key":"1064_CR55","doi-asserted-by":"publisher","unstructured":"Lledo PM, Alonso M, Grubb MS (2006) Adult neurogenesis and functional plasticity in neuronal circuits. Nat Reviews Neurosci (Vol 7(3). https:\/\/doi.org\/10.1038\/nrn1867","DOI":"10.1038\/nrn1867"},{"key":"1064_CR56","doi-asserted-by":"publisher","unstructured":"Long KLP, Breton JM, Barraza MK, Perloff OS, Kaufer D (2021) Hormonal regulation of oligodendrogenesis i: effects across the lifespan. Biomolecules 11(2). https:\/\/doi.org\/10.3390\/biom11020283","DOI":"10.3390\/biom11020283"},{"key":"1064_CR57","doi-asserted-by":"publisher","unstructured":"Luna B, Marek S, Larsen B, Tervo-Clemmens B, Chahal R (2015) An integrative model of the maturation of Cognitive Control. 38:151\u2013170. https:\/\/doi.org\/10.1146\/ANNUREV-NEURO-071714-034054. Https:\/\/Doi.Org\/10.1146\/Annurev-Neuro-071714-034054","DOI":"10.1146\/ANNUREV-NEURO-071714-034054"},{"key":"1064_CR58","doi-asserted-by":"publisher","unstructured":"Mallio CA, Zobel BB, Quattrocchi CC (2015) Evaluating rehabilitation interventions in Parkinson\u2019s disease with functional MRI: a promising neuroprotective strategy. Neural Regeneration Res 10(5). https:\/\/doi.org\/10.4103\/1673-5374.156957","DOI":"10.4103\/1673-5374.156957"},{"key":"1064_CR59","doi-asserted-by":"publisher","unstructured":"Manna I (2014) Growth Development and Maturity in Children and Adolescent: relation to sports and physical activity. Am J Sports Sci Med 2. https:\/\/doi.org\/10.12691\/ajssm-2-5a-11","DOI":"10.12691\/ajssm-2-5a-11"},{"issue":"11","key":"1064_CR61","doi-asserted-by":"publisher","first-page":"e2004188","DOI":"10.1371\/JOURNAL.PBIO.2004188","volume":"16","author":"S Marek","year":"2018","unstructured":"Marek S, Tervo-Clemmens B, Klein N, Foran W, Ghuman AS, Luna B (2018) Adolescent development of cortical oscillations: power, phase, and support of cognitive maturation. PLoS Biol 16(11):e2004188. https:\/\/doi.org\/10.1371\/JOURNAL.PBIO.2004188","journal-title":"PLoS Biol"},{"key":"1064_CR60","doi-asserted-by":"publisher","unstructured":"Marek S, Tervo-Clemmens B, Calabro FJ, Montez DF, Kay BP, Hatoum AS, Donohue MR, Foran W, Miller RL, Hendrickson TJ, Malone SM, Kandala S, Feczko E, Miranda-Dominguez O, Graham AM, Earl EA, Perrone AJ, Cordova M, Doyle O, Dosenbach NUF (2022) Reproducible brain-wide association studies require thousands of individuals. Nature 603(7902). https:\/\/doi.org\/10.1038\/s41586-022-04492-9","DOI":"10.1038\/s41586-022-04492-9"},{"key":"1064_CR62","doi-asserted-by":"publisher","unstructured":"Maris E, Oostenveld R (2007) Nonparametric statistical testing of EEG- and MEG-data. J Neurosci Methods 164(1). https:\/\/doi.org\/10.1016\/j.jneumeth.2007.03.024","DOI":"10.1016\/j.jneumeth.2007.03.024"},{"key":"1064_CR63","doi-asserted-by":"publisher","unstructured":"Marshall L, Helgad\u00f3ttir H, M\u00f6lle M, Born J (2006) Boosting slow oscillations during sleep potentiates memory. Nature 444(7119). https:\/\/doi.org\/10.1038\/nature05278","DOI":"10.1038\/nature05278"},{"key":"1064_CR64","doi-asserted-by":"publisher","unstructured":"Moallemian S, Salmon E, Bahri MA, Beliy N, Delhaye E, Balteau E, Phillips C, Bastin C (2023) Multimodal imaging of microstructural cerebral changes and loss of synaptic density in Alzheimer\u2019s disease. medRxiv 2023041423288516. https:\/\/doi.org\/10.1101\/2023.04.14.23288516","DOI":"10.1101\/2023.04.14.23288516"},{"key":"1064_CR65","doi-asserted-by":"publisher","unstructured":"Morrison JH, Hof PR (1997) Life and death of neurons in the aging brain. Science 278(5337). https:\/\/doi.org\/10.1126\/science.278.5337.412","DOI":"10.1126\/science.278.5337.412"},{"key":"1064_CR67","doi-asserted-by":"publisher","unstructured":"Murty VP, Sambataro F, Das S, Tan HY, Callicott JH, Goldberg TE, Meyer-Lindenberg A, Weinberger DR, Mattay VS (2009) Age-related alterations in simple declarative memory and the effect of negative stimulus valence. J Cogn Neurosci 21(10). https:\/\/doi.org\/10.1162\/jocn.2009.21130","DOI":"10.1162\/jocn.2009.21130"},{"key":"1064_CR66","doi-asserted-by":"publisher","unstructured":"Murty DVPS, Manikandan K, Kumar WS, Ramesh RG, Purokayastha S, Javali M, Rao NP, Ray S (2020) Gamma oscillations weaken with age in healthy elderly in human EEG. NeuroImage, 215. https:\/\/doi.org\/10.1016\/j.neuroimage.2020.116826","DOI":"10.1016\/j.neuroimage.2020.116826"},{"issue":"22","key":"1064_CR68","doi-asserted-by":"publisher","first-page":"3637","DOI":"10.1088\/0031-9155\/48\/22\/002","volume":"48","author":"G Nolte","year":"2003","unstructured":"Nolte G (2003) The magnetic lead field theorem in the quasi-static approximation and its use for magnetoencephalography forward calculation in realistic volume conductors. Phys Med Biol 48(22):3637. https:\/\/doi.org\/10.1088\/0031-9155\/48\/22\/002","journal-title":"Phys Med Biol"},{"key":"1064_CR69","doi-asserted-by":"publisher","unstructured":"Obleser J, W\u00f6stmann M, Hellbernd N, Wilsch A, Maess B (2012) Adverse listening conditions and memory load drive a common alpha oscillatory network. J Neurosci 32(36). https:\/\/doi.org\/10.1523\/JNEUROSCI.4908-11.2012","DOI":"10.1523\/JNEUROSCI.4908-11.2012"},{"key":"1064_CR70","doi-asserted-by":"publisher","unstructured":"Oostenveld R, Fries P, Maris E, Schoffelen JM (2011) FieldTrip: Open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data. Computational Intelligence and Neuroscience, 2011. https:\/\/doi.org\/10.1155\/2011\/156869","DOI":"10.1155\/2011\/156869"},{"key":"1064_CR71","doi-asserted-by":"publisher","first-page":"100027","DOI":"10.1016\/j.bionps.2020.100027","volume":"3","author":"A Pal","year":"2020","unstructured":"Pal A, Pegwal N, Behari M, Sharma R (2020) High delta and gamma EEG power in resting state characterise dementia in Parkinson\u2019s patients. Biomarkers Neuropsychiatry 3:100027. https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2666144620300174","journal-title":"Biomarkers Neuropsychiatry"},{"key":"1064_CR72","doi-asserted-by":"publisher","unstructured":"Pallas M, Camins A, Smith MA, Perry G, Lee HG, Casadesus G (2008) From aging to Alzheimer\u2019s disease: Unveiling The switch with the senescence-accelerated mouse model (SAMP8). In Journal of Alzheimer\u2019s Disease (Vol. 15, Issue 4). https:\/\/doi.org\/10.3233\/JAD-2008-15408","DOI":"10.3233\/JAD-2008-15408"},{"issue":"16","key":"1064_CR73","doi-asserted-by":"publisher","first-page":"7580","DOI":"10.1073\/PNAS.0913113107\/SUPPL_FILE\/PNAS.200913113SI.PDF","volume":"107","author":"JM Palva","year":"2010","unstructured":"Palva JM, Monto S, Kulashekhar S, Palva S (2010) Neuronal synchrony reveals working memory networks and predicts individual memory capacity. Proc Natl Acad Sci USA 107(16):7580\u20137585. https:\/\/doi.org\/10.1073\/PNAS.0913113107\/SUPPL_FILE\/PNAS.200913113SI.PDF","journal-title":"Proc Natl Acad Sci USA"},{"key":"1064_CR74","doi-asserted-by":"publisher","unstructured":"Park DC, Reuter-Lorenz P (2009) The adaptive brain: aging and neurocognitive scaffolding. Ann Rev Psychol 60. https:\/\/doi.org\/10.1146\/annurev.psych.59.103006.093656","DOI":"10.1146\/annurev.psych.59.103006.093656"},{"key":"1064_CR75","unstructured":"Patton J, of clinical MS-J (1995) & undefined. (n.d.). Factor structure of the Barratt impulsiveness scale. Wiley Online Library. Retrieved April 24, 2023, from https:\/\/onlinelibrary.wiley.com\/doi\/abs\/10.1002\/1097-4679(199511)51:6%3C768::AID-JCLP2270510607%3E3.0.CO;2-1"},{"key":"1064_CR76","doi-asserted-by":"crossref","unstructured":"Patton J, Stanford M, Barratt E (1995) Factor structure of the barratt impulsiveness scale. Journal of Clinical Psychology - Wiley Online Library. https:\/\/onlinelibrary.wiley.com\/doi\/epdf\/10.1002\/1097-4679%28199511%2951%3A6%3C768%3A%3AAID-JCLP2270510607%3E3.0.CO%3B2-1","DOI":"10.1002\/1097-4679(199511)51:6<768::AID-JCLP2270510607>3.0.CO;2-1"},{"issue":"4","key":"1064_CR77","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1023\/A:1008981510081\/METRICS","volume":"10","author":"D Peel","year":"2000","unstructured":"Peel D, McLachlan GJ (2000) Robust mixture modelling using the t distribution. Stat Comput 10(4):339\u2013348. https:\/\/doi.org\/10.1023\/A:1008981510081\/METRICS","journal-title":"Stat Comput"},{"key":"1064_CR78","doi-asserted-by":"crossref","unstructured":"Poldrack R, Mumford J, Nichols T (2011) Handbook of functional MRI data analysis. https:\/\/books.google.es\/books?hl=es&lr=&id=VjwBnVRwuD8C&oi=fnd&pg=PR9&dq=Poldrack,+R.+A.,+Mumford,+J.+A.,+%26+Nichols,+T.+E.+(2011).+Handbook+of+functional+MRI+data+analysis.+Cambridge+University+Press.&ots=CXFvWtrFrk&sig=YbJ51fL444dGxdngvrxj6-0_EGc","DOI":"10.1017\/CBO9780511895029"},{"issue":"4","key":"1064_CR79","doi-asserted-by":"publisher","first-page":"276","DOI":"10.1016\/0013-4694(90)90106-T","volume":"75","author":"VE Pollock","year":"1990","unstructured":"Pollock VE, Schneider LS, Lyness SA (1990) EEG amplitudes in healthy, late-middle-aged and elderly adults: normality of the distributions and correlations with age. Electroencephalogr Clin Neurophysiol 75(4):276\u2013288. https:\/\/doi.org\/10.1016\/0013-4694(90)90106-T","journal-title":"Electroencephalogr Clin Neurophysiol"},{"key":"1064_CR80","doi-asserted-by":"publisher","unstructured":"Pomper U, Science UA-P (2021) & undefined. (2021). Theta-rhythmic oscillation of working memory performance. Journals.Sagepub.Com, 32(11), 1801\u20131810. https:\/\/doi.org\/10.1177\/09567976211013045","DOI":"10.1177\/09567976211013045"},{"key":"1064_CR81","doi-asserted-by":"publisher","unstructured":"Posthuma D, Neale MC, Boomsma DI, de Geus EJC (2001) Are smarter brains running faster? Heritability of alpha peak frequency, IQ, and their interrelation. Behav Genet 31(6). https:\/\/doi.org\/10.1023\/A:1013345411774","DOI":"10.1023\/A:1013345411774"},{"key":"1064_CR82","doi-asserted-by":"publisher","unstructured":"Poulisse C, Wheeldon L, Limachya R, Mazaheri A, Segaert K (2020) The oscillatory mechanisms associated with syntactic binding in healthy ageing. Neuropsychologia, 146. https:\/\/doi.org\/10.1016\/j.neuropsychologia.2020.107523","DOI":"10.1016\/j.neuropsychologia.2020.107523"},{"key":"1064_CR83","unstructured":"Python Software Foundation Python Language Reference, version 3.x. Available at https:\/\/www.python.org"},{"key":"1064_CR84","doi-asserted-by":"publisher","unstructured":"Rae Grant A, Blume W, Lau C, Hachinski VC, Fisman M, Merskey H (1987) The Electroencephalogram in Alzheimer-Type Dementia: a sequential study correlating the Electroencephalogram with Psychometric and quantitative pathologic data. Arch Neurol 44(1). https:\/\/doi.org\/10.1001\/archneur.1987.00520130042015","DOI":"10.1001\/archneur.1987.00520130042015"},{"issue":"4","key":"1064_CR85","doi-asserted-by":"publisher","first-page":"e2212776120","DOI":"10.1073\/PNAS.2212776120\/SUPPL_FILE\/PNAS.2212776120.SAPP.PDF","volume":"120","author":"MP Rempe","year":"2023","unstructured":"Rempe MP, Ott LR, Picci G, Penhale SH, Christopher-Hayes NJ, Lew BJ, Petro NM, Embury CM, Schantell M, Johnson HJ, Okelberry HJ, Losh KL, Willett MP, Losh RA, Wang YP, Calhoun VD, Stephen JM, Heinrichs-Graham E, Kurz MJ, Wilson TW (2023) Spontaneous cortical dynamics from the first years to the golden years. Proc Natl Acad Sci USA 120(4):e2212776120. https:\/\/doi.org\/10.1073\/PNAS.2212776120\/SUPPL_FILE\/PNAS.2212776120.SAPP.PDF","journal-title":"Proc Natl Acad Sci USA"},{"key":"1064_CR86","doi-asserted-by":"publisher","unstructured":"Repp BH (2005) Sensorimotor synchronization: a review of the tapping literature. Psychonomic Bull Rev (Vol 12. https:\/\/doi.org\/10.3758\/BF03206433","DOI":"10.3758\/BF03206433"},{"key":"1064_CR87","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.0421-12.2012","author":"F Roux","year":"2012","unstructured":"Roux F, Wibral M, Mohr HM, Singer W, Uhlhaas PJ (2012) Gamma-band activity in human prefrontal cortex codes for the number of relevant items maintained in working memory. Soc Neurosci. https:\/\/doi.org\/10.1523\/JNEUROSCI.0421-12.2012","journal-title":"Soc Neurosci"},{"key":"1064_CR88","doi-asserted-by":"publisher","unstructured":"Salthouse TA (2010) Selective review of cognitive aging. J Int Neuropsychological Soc (Vol 16. https:\/\/doi.org\/10.1017\/S1355617710000706","DOI":"10.1017\/S1355617710000706"},{"key":"1064_CR89","doi-asserted-by":"crossref","unstructured":"Sauseng P, Liesefeld HR (2020) Cognitive control: brain oscillations coordinate human working memory. Current Biology, 30(9), R405\u2013R407. https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0960982220302748","DOI":"10.1016\/j.cub.2020.02.067"},{"key":"1064_CR90","doi-asserted-by":"publisher","unstructured":"Scally B, Burke MR, Bunce D, Delvenne JF (2018) Resting-state EEG power and connectivity are associated with alpha peak frequency slowing in healthy aging. Neurobiology of Aging, 71. https:\/\/doi.org\/10.1016\/j.neurobiolaging.2018.07.004","DOI":"10.1016\/j.neurobiolaging.2018.07.004"},{"key":"1064_CR91","doi-asserted-by":"publisher","unstructured":"Schnitzler A, Gross J (2005) Normal and pathological oscillatory communication in the brain. Nat Reviews Neurosci (Vol 6(4). https:\/\/doi.org\/10.1038\/nrn1650","DOI":"10.1038\/nrn1650"},{"key":"1064_CR92","doi-asserted-by":"publisher","unstructured":"Sherar LB, Cumming SP, Eisenmann JC, Baxter-Jones ADG, Malina RM (2010) Adolescent biological maturity and physical activity: Biology meets behavior. In Pediatric Exercise Science (Vol. 22, Issue 3). https:\/\/doi.org\/10.1123\/pes.22.3.332","DOI":"10.1123\/pes.22.3.332"},{"key":"1064_CR93","doi-asserted-by":"publisher","unstructured":"Sowell ER, Peterson BS, Thompson PM, Welcome SE, Henkenius AL, Toga AW (2003) Mapping cortical change across the human life span. Nat Neurosci 6(3). https:\/\/doi.org\/10.1038\/nn1008","DOI":"10.1038\/nn1008"},{"key":"1064_CR94","doi-asserted-by":"publisher","unstructured":"Stacey JE, Crook-Rumsey M, Sumich A, Howard CJ, Crawford T, Livne K, Lenzoni S, Badham S (2021) Age differences in resting state EEG and their relation to eye movements and cognitive performance. Neuropsychologia, 157. https:\/\/doi.org\/10.1016\/j.neuropsychologia.2021.107887","DOI":"10.1016\/j.neuropsychologia.2021.107887"},{"issue":"1","key":"1064_CR95","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1016\/J.DR.2007.08.002","volume":"28","author":"L Steinberg","year":"2008","unstructured":"Steinberg L (2008) A Social Neuroscience Perspective on adolescent risk-taking. Dev Review: DR 28(1):78. https:\/\/doi.org\/10.1016\/J.DR.2007.08.002","journal-title":"Dev Review: DR"},{"key":"1064_CR96","doi-asserted-by":"publisher","unstructured":"Steriade M, Gloor P, Llin\u00e1s RR, Lopes da Silva FH, Mesulam MM (1990) Basic mechanisms of cerebral rhythmic activities. Electroencephalogr Clin Neurophysiol 76(6). https:\/\/doi.org\/10.1016\/0013-4694(90)90001-Z","DOI":"10.1016\/0013-4694(90)90001-Z"},{"key":"1064_CR97","doi-asserted-by":"publisher","first-page":"120275","DOI":"10.1016\/j.neuroimage.2023.120275","volume":"278","author":"C Stier","year":"2023","unstructured":"Stier C, Braun C, Focke NK (2023) Adult lifespan trajectories of neuromagnetic signals and interrelations with cortical thickness. NeuroImage 278:120275. https:\/\/doi.org\/10.1016\/j.neuroimage.2023.120275","journal-title":"NeuroImage"},{"key":"1064_CR98","doi-asserted-by":"publisher","unstructured":"Taulu S, Simola J (2006) Spatiotemporal signal space separation method for rejecting nearby interference in MEG measurements. Phys Med Biol 51(7). https:\/\/doi.org\/10.1088\/0031-9155\/51\/7\/008","DOI":"10.1088\/0031-9155\/51\/7\/008"},{"key":"1064_CR99","doi-asserted-by":"publisher","unstructured":"Toga AW, Thompson PM, Sowell ER (2006) Mapping brain maturation. In Trends in Neurosciences (Vol. 29, Issue 3). https:\/\/doi.org\/10.1016\/j.tins.2006.01.007","DOI":"10.1016\/j.tins.2006.01.007"},{"issue":"NOV","key":"1064_CR100","doi-asserted-by":"publisher","first-page":"364","DOI":"10.3389\/FNAGI.2017.00364\/BIBTEX","volume":"9","author":"JP Trammell","year":"2017","unstructured":"Trammell JP, MacRae PG, Davis G, Bergstedt D, Anderson AE (2017) The relationship of cognitive performance and the Theta-Alpha power ratio is age-dependent: an EEG study of short term memory and reasoning during task and resting-state in healthy young and old adults. Front Aging Neurosci 9(NOV):364. https:\/\/doi.org\/10.3389\/FNAGI.2017.00364\/BIBTEX","journal-title":"Front Aging Neurosci"},{"key":"1064_CR101","doi-asserted-by":"publisher","unstructured":"Tzourio-Mazoyer N, Landeau B, Papathanassiou D, Crivello F, Etard O, Delcroix N, Mazoyer B, Joliot M (2002) Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. NeuroImage 15(1). https:\/\/doi.org\/10.1006\/nimg.2001.0978","DOI":"10.1006\/nimg.2001.0978"},{"key":"1064_CR102","doi-asserted-by":"publisher","DOI":"10.1038\/s41593-023-01272-0","author":"D Van Blooijs","year":"2023","unstructured":"Van Blooijs D, Van Den Boom MA, Van Der Aar JF, Huiskamp GM, Castegnaro G, Demuru M, Zweiphenning WJEM, Van Eijsden P, Miller KJ, Leijten FSS, Hermes D (2023) Developmental trajectory of transmission speed in the human brain. Nat Neurosci. https:\/\/doi.org\/10.1038\/s41593-023-01272-0","journal-title":"Nat Neurosci"},{"key":"1064_CR103","doi-asserted-by":"publisher","unstructured":"van Dijk H, Schoffelen JM, Oostenveld R, Jensen O (2008) Prestimulus oscillatory activity in the alpha band predicts visual discrimination ability. J Neurosci 28(8). https:\/\/doi.org\/10.1523\/JNEUROSCI.1853-07.2008","DOI":"10.1523\/JNEUROSCI.1853-07.2008"},{"key":"1064_CR111","doi-asserted-by":"crossref","unstructured":"Van Veen, B. D., & Buckley, K. M. (1988). Beamforming: A versatile approach to spatial filtering. IEEE assp magazine, 5(2), 4\u201324.","DOI":"10.1109\/53.665"},{"issue":"1","key":"1064_CR104","doi-asserted-by":"publisher","first-page":"5101","DOI":"10.1038\/srep05101","volume":"4","author":"EL Vlahou","year":"2014","unstructured":"Vlahou EL, Thurm F, Kolassa IT, Schlee W (2014) Resting-state slow wave power, healthy aging and cognitive performance. Sci Rep 4(1):5101. https:\/\/doi.org\/10.1038\/srep05101","journal-title":"Sci Rep"},{"key":"1064_CR105","doi-asserted-by":"publisher","unstructured":"Voineskos AN, Rajji TK, Lobaugh NJ, Miranda D, Shenton ME, Kennedy JL, Pollock BG, Mulsant BH (2012) Age-related decline in white matter tract integrity and cognitive performance: a DTI tractography and structural equation modeling study. Neurobiol Aging 33(1). https:\/\/doi.org\/10.1016\/j.neurobiolaging.2010.02.009","DOI":"10.1016\/j.neurobiolaging.2010.02.009"},{"key":"1064_CR106","unstructured":"Wechsler D (1997) WAIS-III WMS-III Technical Manual. Psychological Corporation. https:\/\/scholar.google.com\/scholar?hl=es&as_sdt=0%2C5&q=Wechsler%2C+D.+%281997%29.+WAIS-III+WMS-III+Technical+Manual.+San+Antonio&btnG="},{"key":"1064_CR107","doi-asserted-by":"publisher","unstructured":"Willie JT, Chemelli RM, Sinton CM, Yanagisawa M (2001) To eat or to sleep? Orexin in the regulation of feeding and wakefulness. Annu Rev Neurosci 24. https:\/\/doi.org\/10.1146\/annurev.neuro.24.1.429","DOI":"10.1146\/annurev.neuro.24.1.429"},{"key":"1064_CR108","doi-asserted-by":"publisher","unstructured":"Woo CW, Krishnan A, Wager TD (2014) Cluster-extent based thresholding in fMRI analyses: Pitfalls and recommendations. NeuroImage, 91. https:\/\/doi.org\/10.1016\/j.neuroimage.2013.12.058","DOI":"10.1016\/j.neuroimage.2013.12.058"},{"key":"1064_CR109","doi-asserted-by":"publisher","unstructured":"Wu W, Hoffman P (2023) Age differences in the neural processing of semantics, within and beyond the core semantic network. Neurobiology of Aging, 131. https:\/\/doi.org\/10.1016\/j.neurobiolaging.2023.07.022","DOI":"10.1016\/j.neurobiolaging.2023.07.022"},{"key":"1064_CR110","doi-asserted-by":"publisher","unstructured":"Zhang H, Geng X, Wang Y, Guo Y, Gao Y, Zhang S, Du W, Liu L, Sun M, Jiao F, Yi F, Li X, Wang L (2021) The Significance of EEG Alpha Oscillation Spectral Power and Beta Oscillation Phase Synchronization for Diagnosing Probable Alzheimer Disease. Frontiers in Aging Neuroscience, 13. https:\/\/doi.org\/10.3389\/FNAGI.2021.631587\/FULL","DOI":"10.3389\/FNAGI.2021.631587\/FULL"}],"container-title":["Brain Topography"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10548-024-01064-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10548-024-01064-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10548-024-01064-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,19]],"date-time":"2024-09-19T09:02:54Z","timestamp":1726736574000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10548-024-01064-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,20]]},"references-count":111,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2024,11]]}},"alternative-id":["1064"],"URL":"https:\/\/doi.org\/10.1007\/s10548-024-01064-0","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/2023.07.26.550635","asserted-by":"object"}]},"ISSN":["0896-0267","1573-6792"],"issn-type":[{"value":"0896-0267","type":"print"},{"value":"1573-6792","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,6,20]]},"assertion":[{"value":"7 November 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 June 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 June 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":"All the data collected have been part of projects approved by their corresponding ethics committee (each of these projects was approved by the Ethics Committee of the \u201cHospital Cl\u00ednico San Carlos\u201d (Madrid), and all the procedures involved in each project were performed in accordance with the approved guidelines) within the current legal framework of the Declaration of Helsinki that regulates human experimentation and the guide for good practice in clinical research drawn up by OMS and UNESCO (1995). All the participants signed an informed consent in which they freely expressed their willingness for the data to be analysed within the scope of the research. The processing of all personal data derived from the collection of data to be used in the project complies with the General Data Protection Regulation (RGPD) of the European Union in the acquisition center. In addition, all the neuroimaging and neuropsychology files to be shared are duly anonymized and therefore do not allow any type of traceability between the data and the participant.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical Approval"}},{"value":"The authors declare no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing Interests"}}]}}