Abásolo D, Hornero R, Gómez C, García M, López M (2006) Analysis of EEG background activity in Alzheimer’s disease patients with Lempel-Ziv complexity and central tendency measure. Med Eng Phys 28(4):315–322. https://doi.org/10.1016/j.medengphy.2005.07.004

Article  PubMed  Google Scholar 

Abásolo D, Simons S, Morgado da Silva R, Tononi G, Vyazovskiy VV (2015) Lempel-Ziv complexity of cortical activity during sleep and waking in rats. J Neurophysiol 113(7):2742–2752. https://doi.org/10.1152/jn.00575.2014

Article  PubMed  PubMed Central  Google Scholar 

Adelhöfer N, Paulus T, Mückschel M, Bäumer T, Bluschke A, Takacs A, Tóth-Fáber E, Tárnok Z, Roessner V, Weissbach A, Münchau A (2021) Increased scale-free and aperiodic neural activity during sensorimotor integration—a novel facet in Tourette syndrome. Brain Commun 3(4):fcab250. https://doi.org/10.1093/braincomms/fcab250

Article  PubMed  PubMed Central  Google Scholar 

Babiloni C, Barry RJ, Başar E, Blinowska KJ, Cichocki A, Drinkenburg WH, Klimesch W, Knight RT, da Silva FL, Nunez P, Oostenveld R (2020) International Federation of Clinical Neurophysiology (IFCN)–EEG research workgroup: recommendations on frequency and topographic analysis of resting state EEG rhythms. Part 1: applications in clinical research studies. Clin Neurophysiol 131(1):285–307. https://doi.org/10.1016/j.clinph.2019.06.234

Article  PubMed  Google Scholar 

Bédard C, Destexhe A (2009) Macroscopic models of local field potentials and the apparent 1/f noise in brain activity. Biophys J 96(7):2589–2603. https://doi.org/10.1016/j.bpj.2008.12.3951

Article  CAS  PubMed  PubMed Central  Google Scholar 

Bódizs R, Szalárdy O, Horváth C, Ujma PP, Gombos F, Simor P, Pótári A, Zeising M, Steiger A, Dresler M (2021) A set of composite, non-redundant EEG measures of NREM sleep based on the power law scaling of the Fourier spectrum. Sci Reports 11(1):1–8. https://doi.org/10.1038/s41598-021-81230-7

Article  CAS  Google Scholar 

Cassani R, Estarellas M, San-Martin R, Fraga FJ, Falk TH (2018) Systematic review on resting-state EEG for Alzheimer’s disease diagnosis and progression assessment. Dis Markers 4:2018. https://doi.org/10.1155/2018/5174815

Article  Google Scholar 

Colombo MA, Napolitani M, Boly M, Gosseries O, Casarotto S, Rosanova M, Brichant JF, Boveroux P, Rex S, Laureys S, Massimini M (2019) The spectral exponent of the resting EEG indexes the presence of consciousness during unresponsiveness induced by propofol, xenon, and ketamine. Neuroimage 189:631–644. https://doi.org/10.1016/j.neuroimage.2019.01.024

Article  CAS  PubMed  Google Scholar 

Darmani G, Drummond NM, Ramezanpour H, Saha U, Hoque T, Udupa K, Sarica C, Zeng K, Cortez Grippe T, Nankoo JF, Bergmann TO (2023) Long-term recording of subthalamic aperiodic activities and beta bursts in Parkinson’s disease. Mov Disord 38(2):232–243. https://doi.org/10.1002/mds.29276

Article  PubMed  Google Scholar 

Dauwels J, Srinivasan K, Ramasubba Reddy M, Musha T, Vialatte FB, Latchoumane C, Jeong J, Cichocki A (2011) Slowing and loss of complexity in Alzheimer’s EEG: two sides of the same coin? Int J Alz Dis 13:2011. https://doi.org/10.4061/2011/539621

Article  Google Scholar 

Delorme A, Makeig S (2004) EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J Neurosci Methods 134(1):9–21. https://doi.org/10.1016/j.jneumeth.2003.10.009

Article  PubMed  Google Scholar 

Donoghue T, Haller M, Peterson EJ, Varma P, Sebastian P, Gao R, Noto T, Lara AH, Wallis JD, Knight RT, Shestyuk A (2020) Parameterizing neural power spectra into periodic and aperiodic components. Nat Neurosci 23(12):1655–1665. https://doi.org/10.1038/s41593-020-00744-x

Article  CAS  PubMed  PubMed Central  Google Scholar 

Faul S (2020) Kolmogorov Complexity. https://www.mathworks.com/matlabcentral/fileexchange/6886-kolmogorov-complexity, MATLAB Central File Exchange.

Gao R, Peterson EJ, Voytek B (2017) Inferring synaptic excitation/inhibition balance from field potentials. Neuroimage 158:70–78. https://doi.org/10.1016/j.neuroimage.2017.06.078

Article  PubMed  Google Scholar 

Gerster M, Waterstraat G, Litvak V, Lehnertz K, Schnitzler A, Florin E, Curio G, Nikulin V (2022) Separating neural oscillations from aperiodic 1/f activity: challenges and recommendations. Neuroinformatics 20(4):991–1012. https://doi.org/10.1007/s12021-022-09581-8

Article  PubMed  PubMed Central  Google Scholar 

Gómez C, Hornero R, Abásolo D, Fernández A, López M (2006) Complexity analysis of the magnetoencephalogram background activity in Alzheimer’s disease patients. Med Eng Phys 28(9):851–859. https://doi.org/10.1016/j.medengphy.2006.01.003

Article  PubMed  Google Scholar 

Gómez C, Dubbelink KT, Stam CJ, Abásolo D, Berendse HW, Hornero R (2011) Complexity analysis of resting-state MEG activity in early-stage Parkinson’s disease patients. Ann Biomed Eng 39(12):2935. https://doi.org/10.1007/s10439-011-0416-0

Article  PubMed  Google Scholar 

He BJ, Zempel JM, Snyder AZ, Raichle ME (2010) The temporal structures and functional significance of scale-free brain activity. Neuron 66(3):353–369. https://doi.org/10.1016/j.neuron.2010.04.020

Article  CAS  PubMed  PubMed Central  Google Scholar 

He BJ (2014) Scale-free brain activity: past, present, and future. Trends Cogn Sci 18(9):480–487. https://doi.org/10.1016/j.tics.2014.04.003

Article  PubMed  PubMed Central  Google Scholar 

Helson P, Lundqvist D, Svenningsson P, Vinding MC, Kumar A (2023) Cortex-wide topography of 1/f-exponent in Parkinson's disease. bioRxiv. https://doi.org/10.1101/2023.01.19.524792

Article  Google Scholar 

Höhn C, Hahn MA, Lendner JD, Hoedlmoser K (2022) Spectral slope and neural complexity as robust markers of task demand and brain state during sleep and wakefulness. bioRxiv. https://doi.org/10.1101/2022.09.10.507390

Article  Google Scholar 

Hong SL, Rebec GV (2012) A new perspective on behavioral inconsistency and neural noise in aging: compensatory speeding of neural communication. Front Aging Neurosci 25(4):27. https://doi.org/10.3389/fnagi.2012.00027

Article  Google Scholar 

Hornero R, Abásolo D, Escudero J, Gómez C (1887) Nonlinear analysis of electroencephalogram and magnetoencephalogram recordings in patients with Alzheimer’s disease. Philos Trans A Math Phys Eng Sci 367(1887):317–336. https://doi.org/10.1098/rsta.2008.0197

Article  Google Scholar 

Iber C (2007) The AASM manual for the scoring of sleep and associated events: rules. Terminology and technical specification. Published online

Lempel A, Ziv J (1976) On the complexity of finite sequences. IEEE Trans Inf Theory 22:75–81

Article  Google Scholar 

Lindén H, Pettersen KH, Einevoll GT (2010) Intrinsic dendritic filtering gives low-pass power spectra of local field potentials. J Comp Neurosci 29(3):423–444. https://doi.org/10.1007/s10827-010-0245-4

Article  Google Scholar 

Litvan I, Goldman JG, Tröster AI et al (2012) Diagnostic criteria for mild cognitive impairment in Parkinson’s disease: movement disorder society task force guidelines. Mov Disord 27(3):349–356. https://doi.org/10.1002/mds.24893

Article  PubMed  PubMed Central  Google Scholar 

Mazaheri A, Slagter HA, Thut G, Foxe JJ (2018) Orchestration of brain oscillations: principles *and functions. Eur J Neurosci 48(7):2385–2388. https://doi.org/10.1111/ejn.14189

Article  PubMed  Google Scholar 

McKeith IG, Boeve BF, Dickson DW, Halliday G, Taylor JP, Weintraub D, Aarsland D, Galvin J, Attems J, Ballard CG, Bayston A (2017) Diagnosis and management of dementia with Lewy bodies: fourth consensus report of the DLB Consortium. Neurology 89:88–100. https://doi.org/10.1212/WNL.0000000000004058

Article  PubMed  PubMed Central  Google Scholar 

Medel V, Irani M, Crossley N, Ossandón T, Boncompte G (2020) Complexity and 1/f slope jointly reflect brain states. https://doi.org/10.1101/2020.09.15.298497

Miskovic V, MacDonald KJ, Rhodes LJ, Cote KA (2019) Changes in EEG multiscale entropy and power-law frequency scaling during the human sleep cycle. Human Brain Mapp 40(2):538–551. https://doi.org/10.1002/hbm.24393

Article  Google Scholar 

Neumann WJ, Staub-Bartelt F, Horn A, Schanda J, Schneider GH, Brown P, Kühn AA (2017) Long term correlation of subthalamic beta band activity with motor impairment in patients with Parkinson’s disease. Clin Neurophysiol 128(11):2286–2291. https://doi.org/10.1016/j.clinph.2017.08.028

Article  PubMed  PubMed Central  Google Scholar 

Oostenveld R, Fries P, Maris E, Schoffelen JM (2011) FieldTrip: open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data. Comput Intell Neurosci. https://doi.org/10.1155/2011/156869

Article  PubMed  PubMed Central  Google Scholar 

Ouyang G, Hildebrandt A, Schmitz F, Herrmann CS (2020) Decomposing alpha and 1/f brain activities reveals their differential associations with cognitive processing speed. Neuroimage 205:116304. https://doi.org/10.1016/j.neuroimage.2019.116304

Article  PubMed  Google Scholar 

Petersen RC, Lopez O, Armstrong MJ, Getchius TS, Ganguli M, Gloss D, Gronseth GS, Marson D, Pringsheim T, Day GS, Sager M (2018) Practice guideline update summary: mild cognitive impairment: report of the guideline development, dissemination, and implementation subcommittee of the American Academy of Neurology. Neurology 90(3):126–135. https://doi.org/10.1212/WNL.0000000000004826

Article  PubMed  PubMed Central  Google Scholar 

Podvalny E, Noy N, Harel M, Bickel S, Chechik G, Schroeder CE, Mehta AD, Tsodyks M, Malach R (2015) A unifying principle underlying the extracellular field potential spectral responses in the human cortex. J Nerophysiol 114(1):505–519. https://doi.org/10.1152/jn.00943.2014

Article  CAS  Google Scholar 

Rosenblum Y, Maidan I, Fahoum F, Giladi N, Bregman N, Shiner T, Mirelman A (2020) Differential changes in visual and auditory event-related oscillations in dementia with Lewy bodies. Clin Neurophysiol 131(10):2357–2366. https://doi.org/10.1016/j.clinph.2020.06.029

Article  PubMed  Google Scholar 

Rosenblum Y, Maidan I, Goldstein O, Gana-Weisz M, Orr-Urtreger A, Bregman N, Giladi N, Mirelman A, Shiner T (2022) Decreased delta-band event-related power in dementia with Lewy bodies with a mutation in the glucocerebrosidase gene. Clin Neurophysiol 143:14–20. https://doi.org/10.1016/j.clinph.2022.08.011

Article  PubMed  Google Scholar 

Rosenblum Y, Shiner T, Bregman N, Fahoum F, Giladi N, Maidan I, Mirelman A (2022) Event-related oscillations differentiate between cognitive, motor and visual impairments. J Neurol. https://doi.org/10.1007/s00415-021-10953-4

Article  PubMed