{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T08:31:35Z","timestamp":1790843495410,"version":"4.1.0"},"reference-count":68,"publisher":"SAGE Publications","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAD"],"published-print":{"date-parts":[[2024,1,30]]},"abstract":"<jats:p>Background: Mild cognitive impairment (MCI) is considered to be the borderline of cognitive changes associated with aging and very early dementia. Cognitive functions in MCI can improve, remain stable or progress to clinically probable AD. Quantitative electroencephalography (qEEG) can become a useful tool for using the analytical techniques to quantify EEG patterns indicating cognitive impairment. Objective: The aim of our study was to assess spectral and connectivity analysis of the EEG resting state activity in amnestic MCI (aMCI) patients in comparison with healthy control group (CogN). Methods: 30 aMCI patients and 23 CogN group, matched by age and education, underwent equal neuropsychological assessment and EEG recording, according to the same protocol. Results: qEEG spectral analysis revealed decrease of global relative beta band power and increase of global relative theta and delta power in aMCI patients. Whereas, decreased coherence in centroparietal right area considered to be an early qEEG biomarker of functional disconnection of the brain network in aMCI patients. In conclusion, the demonstrated changes in qEEG, especially, the coherence patterns are specific biomarkers of cognitive impairment in aMCI. Conclusions: Therefore, qEEG measurements appears to be a useful tool that complements neuropsychological diagnostics, assessing the risk of progression and provides a basis for possible interventions designed to improve cognitive functions or even inhibit the progression of the disease.<\/jats:p>","DOI":"10.3233\/jad-230485","type":"journal-article","created":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T12:06:33Z","timestamp":1704801993000},"page":"1235-1247","source":"Crossref","is-referenced-by-count":22,"title":["Quantitative EEG Spectral and Connectivity Analysis for Cognitive Decline in Amnestic Mild Cognitive Impairment"],"prefix":"10.1177","volume":"97","author":[{"given":"Katarzyna","family":"Zawi\u015blak-Fornagiel","sequence":"first","affiliation":[{"name":"Department of Neurology, Prof. Kornel Gibi\u0144ski University Clinical Center, Medical University of Silesia, Katowice, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel","family":"Ledwo\u0144","sequence":"additional","affiliation":[{"name":"Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Monika","family":"Bugdol","sequence":"additional","affiliation":[{"name":"Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anna","family":"Gra\u017cy\u0144ska","sequence":"additional","affiliation":[{"name":"Department of Imaging Diagnostics and Interventional Radiology, Prof. Kornel Gibi\u0144ski University Clinical Center, Medical University of Silesia, Katowice, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maciej","family":"\u015alot","sequence":"additional","affiliation":[{"name":"Department of Solid State Physics, Faculty of Physics and Applied Computer Science, University of \u0141\u00f3d\u017a, \u0141\u00f3d\u017a, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Justyna","family":"Tabaka-Pradela","sequence":"additional","affiliation":[{"name":"Department of Neurology, Prof. Kornel Gibi\u0144ski University Clinical Center, Medical University of Silesia, Katowice, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Izabela","family":"Bieniek","sequence":"additional","affiliation":[{"name":"Department of Neurology, Prof. Kornel Gibi\u0144ski University Clinical Center, Medical University of Silesia, Katowice, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joanna","family":"Siuda","sequence":"additional","affiliation":[{"name":"Department of Neurology, Prof. Kornel Gibi\u0144ski University Clinical Center, Medical University of Silesia, Katowice, Poland"},{"name":"Department of Neurology, Faculty of Medical Sciences in Katowice, Medical University of Silesia, Katowice, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","reference":[{"key":"10.3233\/JAD-230485_ref1","volume-title":"Alzheimer\u2019s Disease: Drug Discovery","author":"Sheppard","year":"2020"},{"key":"10.3233\/JAD-230485_ref2","doi-asserted-by":"crossref","first-page":"2551","DOI":"10.1001\/jama.2014.13806","article-title":"The diagnosis and management of mild cognitive impairment: A clinical review","volume":"312","author":"Langa","year":"2014","journal-title":"JAMA"},{"key":"10.3233\/JAD-230485_ref3","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1212\/WNL.0000000000004826","article-title":"Practice guideline update summary: Mild cognitive impairment: Report of the Guideline Development, Dissemination, and Implementation Subcommittee of the American Academy of Neurology","volume":"90","author":"Petersen","year":"2018","journal-title":"Neurology"},{"key":"10.3233\/JAD-230485_ref4","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1111\/j.1365-2796.2004.01388.x","article-title":"Mild cognitive impairment as a diagnostic entity","volume":"256","author":"Petersen","year":"2004","journal-title":"J Intern Med"},{"key":"10.3233\/JAD-230485_ref5","first-page":"404","article-title":"Mild Cognitive Impairment","volume":"22","author":"Petersen","year":"2016","journal-title":"Continuum (Minneap Minn)"},{"key":"10.3233\/JAD-230485_ref6","doi-asserted-by":"crossref","first-page":"1160","DOI":"10.1001\/archneur.62.7.1160","article-title":"Mild cognitive impairment as a clinical entity and treatment target","volume":"62","author":"Petersen","year":"2005","journal-title":"Arch Neurol"},{"key":"10.3233\/JAD-230485_ref7","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1097\/YCO.0b013e328344696b","article-title":"Should mild cognitive impairment be subtyped?","volume":"24","author":"Hughes","year":"2011","journal-title":"Curr Opin Psychiatry"},{"key":"10.3233\/JAD-230485_ref8","doi-asserted-by":"crossref","first-page":"614","DOI":"10.1016\/S1474-4422(14)70090-0","article-title":"Advancing research diagnostic criteria for Alzheimer\u2019s disease: The IWG-2 criteria","volume":"13","author":"Dubois","year":"2014","journal-title":"Lancet Neurol"},{"key":"10.3233\/JAD-230485_ref9","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1159\/000452486","article-title":"The risk of incident mild cognitive impairment and progression to dementia considering mild cognitive impairment subtypes","volume":"7","author":"Michaud","year":"2017","journal-title":"Dement Geriatr Cogn Dis Extra"},{"key":"10.3233\/JAD-230485_ref10","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1017\/S1092852918001347","article-title":"State of the science on mild cognitive impairment (MCI)","volume":"24","author":"Anderson","year":"2019","journal-title":"CNS Spectr"},{"key":"10.3233\/JAD-230485_ref11","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1177\/15500594221120734","article-title":"Information contained in eeg allows characterization of cognitive decline in neurodegenerative disorders","volume":"54","author":"Keller","year":"2022","journal-title":"Clin EEG Neurosci"},{"key":"10.3233\/JAD-230485_ref12","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1212\/WNL.49.1.277","article-title":"Assessment of digital EEG, quantitative EEG, and EEG brain mapping: Report of the American Academy of Neurology and the American Clinical Neurophysiology Society","volume":"49","author":"Nuwer","year":"1997","journal-title":"Neurology"},{"key":"10.3233\/JAD-230485_ref13","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1146\/annurev.bioeng.5.040202.121601","article-title":"Advances in quantitative electroencephalogram analysis methods","volume":"6","author":"Thakor","year":"2004","journal-title":"Annu Rev Biomed Eng"},{"key":"10.3233\/JAD-230485_ref14","doi-asserted-by":"crossref","first-page":"8","DOI":"10.25122\/jml-2019-0085","article-title":"The role of quantitative EEG in the diagnosis of neuropsychiatric disorders","volume":"13","author":"Livint Popa","year":"2020","journal-title":"J Med Life"},{"key":"10.3233\/JAD-230485_ref15","doi-asserted-by":"crossref","first-page":"1490","DOI":"10.1016\/j.clinph.2004.01.001","article-title":"EEG dynamics in patients with Alzheimer\u2019s disease","volume":"115","author":"Jeong","year":"2004","journal-title":"Clin Neurophysiol"},{"key":"10.3233\/JAD-230485_ref16","doi-asserted-by":"crossref","first-page":"372","DOI":"10.1016\/0013-4694(83)90124-4","article-title":"Frequency analysis of the resting awake EEG in mild senile dementia of Alzheimer type","volume":"55","author":"Coben","year":"1983","journal-title":"Electroencephalogr Clin Neurophysiol"},{"key":"10.3233\/JAD-230485_ref17","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1016\/j.ijge.2014.07.001","article-title":"Is the electroencephalogram power spectrum valuable for diagnosis of the elderly with cognitive impairment?","volume":"9","author":"Ya","year":"2015","journal-title":"Int J Gerontol"},{"key":"10.3233\/JAD-230485_ref18","doi-asserted-by":"crossref","first-page":"126","DOI":"10.12779\/dnd.2022.21.4.126","article-title":"Electroencephalography for early detection of Alzheimer\u2019s disease in subjective cognitive decline","volume":"21","author":"Shim","year":"2022","journal-title":"Dement Neurocogn Disord"},{"key":"10.3233\/JAD-230485_ref19","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1159\/000508392","article-title":"The power of EEG to predict conversion from mild cognitive impairment and subjective cognitive decline to dementia","volume":"49","author":"Engedal","year":"2020","journal-title":"Dement Geriatr Cogn Disord"},{"key":"10.3233\/JAD-230485_ref20","doi-asserted-by":"crossref","first-page":"1321","DOI":"10.1017\/S1041610221001083","article-title":"Slowing on quantitative EEG is associated with transition to dementia in mild cognitive impairment","volume":"33","author":"Hamilton","year":"2021","journal-title":"Int Psychogeriatr"},{"key":"10.3233\/JAD-230485_ref21","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1016\/j.neuroimage.2017.06.030","article-title":"Autoreject: Automated artifact rejection for MEG and EEG data","volume":"159","author":"Jas","year":"2017","journal-title":"Neuroimage"},{"key":"10.3233\/JAD-230485_ref22","doi-asserted-by":"crossref","first-page":"1569","DOI":"10.3390\/jcm12041569","article-title":"The increase of theta power and decrease of alpha\/theta ratio as a manifestation of cognitive impairment in Parkinson\u2019s disease","volume":"12","author":"Zawi\u015blak-Fornagiel","year":"2023","journal-title":"J Clin Med"},{"key":"10.3233\/JAD-230485_ref23","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1037\/14805-018","volume-title":"Methodological issues and strategies in clinical research","author":"Cohen","year":"2016"},{"key":"10.3233\/JAD-230485_ref24","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1177\/001316447603600207","article-title":"Critical values of the rank-biserial correlation coefficient","volume":"36","author":"Willson","year":"1976","journal-title":"Educ Psychol Meas"},{"key":"10.3233\/JAD-230485_ref25","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1016\/0013-4694(86)90184-7","article-title":"Computerized EEG spectral analysis in elderly normal, demented and depressed subjects","volume":"64","author":"Brenner","year":"1986","journal-title":"Electroencephalogr Clin Neurophysiol"},{"key":"10.3233\/JAD-230485_ref26","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/0022-510X(92)90008-9","article-title":"Quantitative EEG mapping and PET in Alzheimer\u2019s disease","volume":"110","author":"Szelies","year":"1992","journal-title":"J Neurol Sci"},{"key":"10.3233\/JAD-230485_ref27","doi-asserted-by":"crossref","first-page":"1113","DOI":"10.1016\/j.clinph.2006.01.020","article-title":"Frontal white matter volume and delta EEG sources negatively correlate in awake subjects with mild cognitive impairment and Alzheimer\u2019s disease","volume":"117","author":"Babiloni","year":"2006","journal-title":"Clin Neurophysiol"},{"key":"10.3233\/JAD-230485_ref28","doi-asserted-by":"crossref","first-page":"1322","DOI":"10.1016\/j.neurobiolaging.2006.06.006","article-title":"EEG and MRI correlates of mild cognitive impairment and Alzheimer\u2019s disease","volume":"28","author":"van der Hiele","year":"2007","journal-title":"Neurobiol Aging"},{"key":"10.3233\/JAD-230485_ref29","doi-asserted-by":"crossref","first-page":"487","DOI":"10.2174\/156720510792231720","article-title":"Diagnosis of Alzheimer\u2019s disease from EEG signals: Where are we standing?","volume":"7","author":"Dauwels","year":"2010","journal-title":"Curr Alzheimer Res"},{"key":"10.3233\/JAD-230485_ref30","doi-asserted-by":"crossref","first-page":"2169","DOI":"10.1016\/j.clinph.2011.03.023","article-title":"Region and frequency specific changes of spectral power in Alzheimer\u2019s disease and mild cognitive impairment","volume":"122","author":"Roh","year":"2011","journal-title":"Clin Neurophysiol"},{"key":"10.3233\/JAD-230485_ref31","doi-asserted-by":"crossref","first-page":"5174815","DOI":"10.1155\/2018\/5174815","article-title":"Systematic review on resting-state EEG for Alzheimer\u2019s disease diagnosis and progression assessment","volume":"2018","author":"Cassani","year":"2018","journal-title":"Dis Markers"},{"key":"10.3233\/JAD-230485_ref32","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.neurobiolaging.2020.01.012","article-title":"Resting-state posterior alpha rhythms are abnormal in subjective memory complaint seniors with preclinical Alzheimer\u2019s neuropathology and high education level: The INSIGHT-preAD study","volume":"90","author":"Babiloni","year":"2020","journal-title":"Neurobiol Aging"},{"key":"10.3233\/JAD-230485_ref33","doi-asserted-by":"crossref","first-page":"631587","DOI":"10.3389\/fnagi.2021.631587","article-title":"The significance of EEG alpha oscillation spectral power and beta oscillation phase synchronization for diagnosing probable Alzheimer disease","volume":"13","author":"Zhang","year":"2021","journal-title":"Front Aging Neurosci"},{"key":"10.3233\/JAD-230485_ref34","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1016\/j.neuroimage.2011.11.086","article-title":"EEG markers are associated to gray matter changes in thalamus and basal ganglia in subjects with mild cognitive impairment","volume":"60","author":"Moretti","year":"2012","journal-title":"Neuroimage"},{"key":"10.3233\/JAD-230485_ref35","first-page":"1092","article-title":"Clustering and modeling of EEG coherence features of Alzheimer\u2019s and mild cognitive impairment patients","volume":"2008","author":"Akrofi","year":"2008","journal-title":"Annu Int Conf IEEE Eng Med Biol Soc"},{"key":"10.3233\/JAD-230485_ref36","doi-asserted-by":"crossref","first-page":"108815","DOI":"10.1016\/j.knosys.2022.108815","article-title":"A deep learning based framework for diagnosis of mild cognitive impairment","volume":"248","author":"Alvi","year":"2022","journal-title":"Knowl Based Syst"},{"key":"10.3233\/JAD-230485_ref37","doi-asserted-by":"crossref","first-page":"924547","DOI":"10.3389\/fninf.2022.924547","article-title":"An automated approach for the detection of Alzheimer\u2019s disease from resting state electroencephalography","volume":"16","author":"Perez-Valero","year":"2022","journal-title":"Front Neuroinform"},{"key":"10.3233\/JAD-230485_ref38","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.neurobiolaging.2019.10.004","article-title":"EEG spectral power abnormalities and their relationship with cognitive dysfunction in patients with Alzheimer\u2019s disease and type 2 diabetes","volume":"85","author":"Benwell","year":"2020","journal-title":"Neurobiol Aging"},{"key":"10.3233\/JAD-230485_ref39","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/j.cmpb.2007.12.004","article-title":"Evaluation of spectral ratio measures from spontaneous MEG recordings in patients with Alzheimer\u2019s disease","volume":"90","author":"Poza","year":"2008","journal-title":"Comput Methods Programs Biomed"},{"key":"10.3233\/JAD-230485_ref40","doi-asserted-by":"crossref","first-page":"729","DOI":"10.1016\/j.jfma.2013.07.008","article-title":"Frequency power and coherence of electroencephalography are correlated with the severity of Alzheimer\u2019s disease: A multicenter analysis in Taiwan","volume":"114","author":"Chen","year":"2015","journal-title":"J Formos Med Assoc"},{"key":"10.3233\/JAD-230485_ref41","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1002\/ana.410160404","article-title":"Brain electrical activity in patients with presenile and senile dementia of the Alzheimer type","volume":"16","author":"Duffy","year":"1984","journal-title":"Ann Neurol"},{"key":"10.3233\/JAD-230485_ref42","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1016\/0013-4694(89)90063-1","article-title":"Topographic EEG changes with normal aging and SDAT","volume":"72","author":"Breslau","year":"1989","journal-title":"Electroencephalogr Clin Neurophysiol"},{"key":"10.3233\/JAD-230485_ref43","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1016\/j.clinph.2006.09.007","article-title":"Correlation between disease severity and brain electric LORETA tomography in Alzheimer\u2019s disease","volume":"118","author":"Gianotti","year":"2007","journal-title":"Clin Neurophysiol"},{"key":"10.3233\/JAD-230485_ref44","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/j.neurobiolaging.2004.03.008","article-title":"Decreased EEG synchronization in Alzheimer\u2019s disease and mild cognitive impairment","volume":"26","author":"Koenig","year":"2005","journal-title":"Neurobiol Aging"},{"key":"10.3233\/JAD-230485_ref45","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1007\/s11571-014-9325-x","article-title":"Power spectral density and coherence analysis of Alzheimer\u2019s EEG","volume":"9","author":"Wang","year":"2015","journal-title":"Cogn Neurodyn"},{"key":"10.3233\/JAD-230485_ref46","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1016\/j.ijpsycho.2015.02.008","article-title":"Brain neural synchronization and functional coupling in Alzheimer\u2019s disease as revealed by resting state EEG rhythms","volume":"103","author":"Babiloni","year":"2016","journal-title":"Int J Psychophysiol"},{"key":"10.3233\/JAD-230485_ref47","doi-asserted-by":"crossref","first-page":"5666229","DOI":"10.1155\/2022\/5666229","article-title":"EEG-based spectral dynamic in characterization of poststroke patients with cognitive impairment for early detection of vascular dementia","volume":"2022","author":"Hadiyoso","year":"2022","journal-title":"J Healthc Eng"},{"key":"10.3233\/JAD-230485_ref48","doi-asserted-by":"crossref","first-page":"100098","DOI":"10.1016\/j.ahr.2022.100098","article-title":"EEG coherence as a marker of functional connectivity disruption in Alzheimer\u2019s disease","volume":"2","author":"Rodinskaia","year":"2022","journal-title":"Aging Health Res"},{"key":"10.3233\/JAD-230485_ref49","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1016\/0013-4694(94)90095-7","article-title":"EEG coherence in Alzheimer disease","volume":"90","author":"Besthorn","year":"1994","journal-title":"Electroencephalogr Clin Neurophysiol"},{"key":"10.3233\/JAD-230485_ref50","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1016\/S0013-4694(97)00129-6","article-title":"EEG coherence in Alzheimer\u2019s disease","volume":"106","author":"Locatelli","year":"1998","journal-title":"Electroencephalogr Clin Neurophysiol"},{"key":"10.3233\/JAD-230485_ref51","doi-asserted-by":"crossref","first-page":"1","DOI":"10.2478\/pjmpe-2018-0001","article-title":"Coherence and phase synchrony analyses of EEG signals in mild cognitive impairment (MCI): A study of functional brain connectivity","volume":"24","author":"Handayani","year":"2018","journal-title":"Pol J Med Phys Eng"},{"key":"10.3233\/JAD-230485_ref52","doi-asserted-by":"crossref","first-page":"35021","DOI":"10.1155\/2007\/35021","article-title":"The implicit function as squashing time model: A novel parallel nonlinear EEG analysis technique distinguishing mild cognitive impairment and Alzheimer\u2019s disease subjects with high degree of accuracy","volume":"2007","author":"Buscema","year":"2007","journal-title":"Comput Intell Neurosci"},{"key":"10.3233\/JAD-230485_ref53","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.ijpsycho.2006.07.006","article-title":"Increased frontal phase-locking of event-related theta oscillations in Alzheimer patients treated with cholinesterase inhibitors","volume":"64","author":"Yener","year":"2007","journal-title":"Int J Psychophysiol"},{"key":"10.3233\/JAD-230485_ref54","doi-asserted-by":"crossref","first-page":"897","DOI":"10.1016\/j.clinph.2010.09.008","article-title":"Intrahemispheric, interhemispheric, and distal EEG coherence in Alzheimer\u2019s disease","volume":"122","author":"Sankari","year":"2011","journal-title":"Clin Neurophysiol"},{"key":"10.3233\/JAD-230485_ref55","doi-asserted-by":"crossref","first-page":"1261","DOI":"10.3233\/JAD-220508","article-title":"Systematic review of EEG coherence in Alzheimer\u2019s disease","volume":"91","author":"Fischer","year":"2023","journal-title":"J Alzheimers Dis"},{"key":"10.3233\/JAD-230485_ref56","doi-asserted-by":"crossref","first-page":"1415","DOI":"10.1162\/jocn_a_01133","article-title":"Modulation of oscillatory power and connectivity in the human posterior cingulate cortex supports the encoding and retrieval of episodic memories","volume":"29","author":"Lega","year":"2017","journal-title":"J Cogn Neurosci"},{"key":"10.3233\/JAD-230485_ref57","doi-asserted-by":"crossref","first-page":"3125","DOI":"10.1111\/ejn.15189","article-title":"Impaired posterior cingulate cortex-parahippocampus connectivity is associated with episodic memory retrieval problems in amnestic mild cognitive impairment","volume":"53","author":"Vanneste","year":"2021","journal-title":"Eur J Neurosci"},{"key":"10.3233\/JAD-230485_ref58","doi-asserted-by":"crossref","first-page":"1023","DOI":"10.1016\/j.neubiorev.2009.12.014","article-title":"Functional role of gamma and theta oscillations in episodic memory","volume":"34","author":"Nyhus","year":"2010","journal-title":"Neurosci Biobehav Rev"},{"key":"10.3233\/JAD-230485_ref59","doi-asserted-by":"crossref","first-page":"1621","DOI":"10.1007\/s11571-022-09920-0","article-title":"Coherence in event-related EEG oscillations in patients with Alzheimer\u2019s disease dementia and amnestic mild cognitive impairment","volume":"17","author":"Fide","year":"2023","journal-title":"Cogn Neurodyn"},{"key":"10.3233\/JAD-230485_ref60","doi-asserted-by":"crossref","first-page":"777","DOI":"10.1038\/nrn.2016.141","article-title":"Network abnormalities and interneuron dysfunction in Alzheimer disease","volume":"17","author":"Palop","year":"2016","journal-title":"Nat Rev Neurosci"},{"key":"10.3233\/JAD-230485_ref61","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1111\/j.1600-0404.1992.tb04452.x","article-title":"EEG in diagnostics and follow-up of Alzheimer\u2019s disease","volume":"85","author":"Soininen","year":"1992","journal-title":"Acta Neurol Scand"},{"key":"10.3233\/JAD-230485_ref62","doi-asserted-by":"crossref","first-page":"31","DOI":"10.3389\/fnagi.2015.00031","article-title":"Theta and alpha EEG frequency interplay in subjects with mild cognitive impairment: Evidence from EEG, MRI, and SPECT brain modifications","volume":"7","author":"Moretti","year":"2015","journal-title":"Front Aging Neurosci"},{"key":"10.3233\/JAD-230485_ref63","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1016\/S1388-2457(03)00345-6","article-title":"Individual analysis of EEG frequency and band power in mild Alzheimer\u2019s disease","volume":"115","author":"Moretti","year":"2004","journal-title":"Clin Neurophysiol"},{"key":"10.3233\/JAD-230485_ref64","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1111\/j.1460-9568.2005.04176.x","article-title":"The role of anterior cingulate cortex and precuneus in the coordination of motor behaviour","volume":"22","author":"Wenderoth","year":"2005","journal-title":"Eur J Neurosci"},{"key":"10.3233\/JAD-230485_ref65","doi-asserted-by":"crossref","first-page":"695416","DOI":"10.3389\/fnbeh.2021.695416","article-title":"Reduced hippocampal GABA+is associated with poorer episodic memory in healthy older women: A pilot study","volume":"15","author":"Jim\u00e9nez-Balado","year":"2021","journal-title":"Front Behav Neurosci"},{"key":"10.3233\/JAD-230485_ref66","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1186\/s13195-020-00632-3","article-title":"Reproducibility of EEG functional connectivity in Alzheimer\u2019s disease","volume":"12","author":"Briels","year":"2020","journal-title":"Alzheimers Res Ther"},{"key":"10.3233\/JAD-230485_ref67","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ijpsycho.2014.02.001","article-title":"EEG network connectivity changes in mild cognitive impairment - Preliminary results","volume":"92","author":"T\u00f3th","year":"2014","journal-title":"Int J Psychophysiol"},{"key":"10.3233\/JAD-230485_ref68","doi-asserted-by":"crossref","first-page":"698386","DOI":"10.3389\/fncom.2021.698386","article-title":"Functional brain networks in mild cognitive impairment based on resting electroencephalography signals","volume":"15","author":"Youssef","year":"2021","journal-title":"Front Comput Neurosci"}],"container-title":["Journal of Alzheimer's Disease"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/JAD-230485","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T10:09:13Z","timestamp":1777370953000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/JAD-230485"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,30]]},"references-count":68,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.3233\/jad-230485","relation":{},"ISSN":["1387-2877","1875-8908"],"issn-type":[{"value":"1387-2877","type":"print"},{"value":"1875-8908","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,30]]}}}