https://m2.mtmt.hu/ hun 2026-10-25 02:48 BookChapter 34871228 ADMIN_APPROVED true 0 false 2025-09-04T15:18:22.513+0000 2025-09-04T15:13:08.258+0000 2024-05-23T09:43:35.571+0000 true 10082488 Vetró Mihály /api/author/10082488 Author Vetró Mihály (mesterséges intelligencia) true 2025-09-04T15:12:57.817+0000 2025-09-04T15:12:57.817+0000 2025-09-04T15:13:08.261+0000 true 10096252 Kósa Ilona /api/admin/10096252 Admin Kósa Ilona (MTMT központi Admin, admin) true true false true 25 25 /api/publicationtype/25 PublicationType Könyvrészlet 2 true 25 BookChapter true 10000312 Conference paper true 25 25 /api/publicationtype/25 PublicationType Könyvrészlet 2 true 25 BookChapter /api/subtype/10000312 Konferenciaközlemény SubType Konferenciaközlemény (Könyvrészlet) 228 true 10000312 true 1 /api/category/1 Category Tudományos true 1 Vetró, Mihály 25 30 25 6 2024 The use of nonparametric permutation-based statistical tests for the analysis of functional neuroimaging data (mainly EEG, MEG, and fMRI) is a common approach for comparing observations under different conditions, or in different subject groups. There are variations of these methods to analyze brain signals obtained along the spatial and temporal dimensions, and also across frequency, which accounts for oscillatory activity. However, there is no well-known method for nonparametric testing of the measured functional connectivity between different areas of the brain. In this paper, we introduce a modified version of an existing nonparametric testing framework, which we adapted for use with functional connectivity data. By using this method, we will show that there are brain areas between which patients with Alzheimer’s disease have reduced functional connectivity in an eyes-closed resting state, based on EEG data. true true 2024 false true true true false NONE 2025-09-04 false 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 false false false false 2024-08-27T12:13:43.858+0000 Méréstechnika és Információs Rendszerek Tanszék (BME / VIK) 2 11 1 2 0 true true 10002 English /api/language/10002 Angol Language Angol true 2 false true 10003 true 10001 /api/country/10001 Country Magyarország true 1 /api/city/10003 City Budapest, Magyarország true 10005024 true 26169102 /api/publicationidentifier/26169102 https://www.worldcat.org/search?q=isbn%3A9789634219514 9789634219514 PublicationIdentifier ISBN: 9789634219514 true 122 ISBN https://www.worldcat.org/search?q=isbn%3A@@@ /api/publicationsource/122 ISBN PlainSource ISBN true true 10002 /api/publicationsourcetype/10002 PublicationSourceType Egyéb true false 122 true false /api/publication/34849522 Proceedings of the 31th Minisymposium. (2024) ISBN:9789634219514 true true 23 23 /api/publicationtype/23 PublicationType Könyv 3 true 23 Book false 34849522 false false true true true 10000144 Conference proceedings true 23 23 /api/publicationtype/23 PublicationType Könyv 3 true 23 Book /api/subtype/10000144 Konferenciakötet SubType Konferenciakötet (Könyv) 345 true 10000144 false Book 2024 true 1 /api/category/1 Category Tudományos true 1 false Language 10002 /api/language/10002 Angol Angol English true 2 true PersonAuthorship 116853447 /api/authorship/116853447 Vetró, Mihály [Vetró, Mihály (mesterséges intel...), szerző] Méréstechnika és Információs Rendszerek Tanszék (BME / VIK) 1 0.5 true false Author 10082488 /api/author/10082488 Vetró Mihály (mesterséges intelligencia) Vetró Mihály true true Vetró Mihály true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 116853449 /api/authorship/116853449 Hullám, Gábor [Hullám, Gábor István (informatika), szerző] Méréstechnika és Információs Rendszerek Tanszék (BME / VIK) 2 0.0 false true Author 10041077 /api/author/10041077 Hullám Gábor István (informatika) Hullám Gábor István true 10041077 true Hullám Gábor true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PublicationIdentifier 26226535 /api/publicationidentifier/26226535 DOI: 10.3311/MINISY2024-005 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.3311/MINISY2024-005 https://doi.org/10.3311/MINISY2024-005 false true PublicationIdentifier 26226536 /api/publicationidentifier/26226536 Egyéb URL: http://hdl.handle.net/10890/55177 PlainSource 40 /api/publicationsource/40 Egyéb URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true http://hdl.handle.net/10890/55177 http://hdl.handle.net/10890/55177 false true Keyword 5923 /api/keyword/5923 statistics true 5923 true Keyword 5952 /api/keyword/5952 Electroencephalography true 5952 true Keyword 1052074 /api/keyword/1052074 bioinformatics true 1052074 true Keyword 1084437 /api/keyword/1084437 functional connectivity true 1084437 true Reference 53238982 /api/reference/53238982 1. E. Maris, R. Oostenveld, ”Nonparametric statistical testing of EEG- and MEG-data”, vol. 164, pp. 177-190, Journal of Neuroscience Methods, 2007., DOI: 10.1016/j.jneumeth.2007.03.024 1 10.1016/j.jneumeth.2007.03.024 false true Reference 53238983 /api/reference/53238983 2. A. Gramfort, M. Luessi, E. Larson, D.A. Engemann, D. Strohmeier, C. Brodbeck, R. Goj, M. Jas, T. Brooks, L. Parkkonen, M.S. H¨am¨al¨ainen, ”MEG and EEG Data Analysis with MNE-Python”, vol. 7, pp. 1-13, Frontiers in Neuroscience, 2013., DOI: 10.3389/fnins.2013.00267 2 10.3389/fnins.2013.00267 false true Reference 53238984 /api/reference/53238984 3. E.T. Bullmore, J. Suckling, S. Overmeyer, S. Rabe-Hesketh, E. Taylor, M. Brammer, ”Global, voxel, and cluster tests, by theory and permuta- tion, for a difference between two groups of structural MR images of the brain”, vol. 18, pp. 32-42, IEEE Transactions on Medical Imaging, 1999., DOI: 10.1109/42.750253 3 10.1109/42.750253 false true Reference 53238985 /api/reference/53238985 4. K. Friston, ”Functional and effective connectivity in neuroimaging: A synthesis”, vol. 2, pp. 56-48, Human Brain Mapping, 1994., DOI: 10.1002/hbm.460020107 4 10.1002/hbm.460020107 false true Reference 53238986 /api/reference/53238986 5. D. Rodinskaia, C. Radinski, J. Labuhn, ”EEG coherence as a marker of functional connectivity disruption in Alzheimer’s dis- ease”, vol. 2, pp. 100098, Aging and Health Research, 2022., DOI: 10.1016/j.ahr.2022.100098 5 10.1016/j.ahr.2022.100098 false true Reference 53238987 /api/reference/53238987 6. R. A. Clark, K. Smith, J, Escudero, A. Ib´a˜nez, M. A. Parra, ”Robust Assessment of EEG Connectivity Patterns in Mild Cognitive Impairment and Alzheimer’s Disease”, vol. 1, pp. N/A, Frontiers in Neuroimaging, 2022., DOI: 10.3389/fnimg.2022.924811 6 10.3389/fnimg.2022.924811 false true Reference 53238988 /api/reference/53238988 7. B. Cea-Ca˜nas, J. Gomez-Pilar, P. N´u˜nez, E. Rodr´ıguez-V´azquez, N. de Uribe, A. D´ıez, A. P´erez-Escudero, V. Molina, ”Connectivity strength of the EEG functional network in schizophrenia and bipolar disorder”, vol. 98, pp. 109801, Progress in Neuro-Psychopharmacology and Biological Psychiatry, 2020., DOI: 10.1016/j.pnpbp.2019.109801 7 10.1016/j.pnpbp.2019.109801 false true Reference 53238989 /api/reference/53238989 8. Zs. Fodor, A. Horv´ath, Z. Hidasi, A.A. Gouw, C.J. Stam, G. Csukly, ”EEG Alpha and Beta Band Functional Connectivity and Network Struc- ture Mark Hub Overload in Mild Cognitive Impairment During Memory Maintenance”, vol. 13, pp. N/A, Frontiers in Aging Neuroscience, 2021., DOI: 10.3389/fnagi.2021.680200 8 10.3389/fnagi.2021.680200 false true Reference 53238990 /api/reference/53238990 9. A. Miltiadous, K.D. Tzimourta, T. Afrantou, P. Ioannidis, N. Grigoriadis, D.G. Tsalikakis, P. Angelidis, M.G. Tsipouras, E. Glavas, N. Gian- nakeas, A.T. Tzallas, ”A dataset of EEG recordings from: Alzheimer’s disease, Frontotemporal dementia and Healthy subjects”, vol. N/A, pp. N/A, OpenNeuro, 2023., DOI: 10.18112/openneuro.ds004504.v1.0.6 9 10.18112/openneuro.ds004504.v1.0.6 false true Reference 53238991 /api/reference/53238991 10. A. Miltiadous, K.D. Tzimourta, T. Afrantou, P. Ioannidis, N. Grigo- riadis, D.G. Tsalikakis, P. Angelidis, M.G. Tsipouras, E. Glavas, N. Giannakeas, A.T. Tzallas, ”A Dataset of Scalp EEG Record- ings of Alzheimer’s Disease, Frontotemporal Dementia and Healthy Subjects from Routine EEG”, vol. 8, pp. N/A, Data, 2023., DOI: 10.3390/data8060095 10 10.3390/data8060095 false true Reference 53238992 /api/reference/53238992 11. P. Tass, M.G. Rosenblum, J. Weule, J. Kurths, A. Pikovsky, J. Volkmann, A. Schnitzler, H.-J. Freund, ”Detection of n : m Phase Locking from Noisy Data: Application to Magnetoencephalography”, vol. 81, pp. 3291-3294, Physical Review Letters, 1998., DOI: 10.1103/Phys- RevLett.81.3291 11 10.1103/Phys- RevLett.81.3291 false true Reference 53238993 /api/reference/53238993 12. J. Sassenhagen, D. Draschkow, ”Cluster-based permutation tests of MEG/EEG data do not establish significance of effect latency or location”, vol. 56, pp. N/A, Psychophysiology, 2018., DOI: 10.1111/psyp.13335 12 10.1111/psyp.13335 false true Reference 53238994 /api/reference/53238994 13. Y. Liu, C. Yu, X. Zhang, J. Liu, Y, Duan, A. F. Alexander-Bloch, B. Liu, T. Jiang, E. Bullmore, ”Impaired long distance functional connectivity and weighted network architecture in Alzheimer’s disease”, vol. 24, pp. 1422-1435, Cerebral Cortex, 2014., DOI: 10.1093/cercor/bhs410 13 10.1093/cercor/bhs410 false true /api/publication/34871228 Vetró Mihály et al. Nonparametric statistical testing of functional connectivity in EEG data. (2024) Megjelent: Proceedings of the 31th Minisymposium pp. 25-30<div class="BookChapter Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <div class="autype autype0"> <span class="author-name" mtid="10082488"><a href="/gui2/?type=authors&mode=browse&sel=10082488" target="_blank">Vetró Mihály (<span class="authorship-author-name">Vetró Mihály</span> <span class="authorAux-mtmt"> mesterséges intelligencia</span>) </a> </span> <span class="author-affil"><span title="Budapesti Műszaki és Gazdaságtudományi Egyetem">BME</span>/<span title="Villamosmérnöki és Informatikai Kar">VIK</span>/Méréstechnika és Információs Rendszerek Tanszék</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10041077"><a href="/gui2/?type=authors&mode=browse&sel=10041077" target="_blank">Hullám Gábor (<span class="authorship-author-name">Hullám Gábor István</span> <span class="authorAux-mtmt"> informatika</span>) </a> </span> <span class="author-affil"><span title="Budapesti Műszaki és Gazdaságtudományi Egyetem">BME</span>/<span title="Villamosmérnöki és Informatikai Kar">VIK</span>/Méréstechnika és Információs Rendszerek Tanszék</span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;34871228" target="_blank">Nonparametric statistical testing of functional connectivity in EEG data</a></div> <div class="InBook"><div class="chapter-in">In:</div> <div class="authors"> </div> <div class="booktitle"><a href="/gui2/?mode=browse&params=publication;34849522" target="_blank">Proceedings of the 31th Minisymposium </a></div> <div class="conference"> Konferencia helye, ideje: <span class="location">Budapest, Magyarország <span class="conference-date">2024.02.05. - 2024.02.06.</span> </div> <span class="publishedAt">Budapest: <span class="publishers">Budapest University of Technology and Economics</span>, <span class="page"> pp 25-30 </span> <span class="year">(2024)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.3311/MINISY2024-005" target="_blank" href="https://doi.org/10.3311/MINISY2024-005"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="http://hdl.handle.net/10890/55177" target="_blank" href="http://hdl.handle.net/10890/55177"> Egyéb URL </a> </span> </span> <span class="bookchapter-ids">Befoglaló link(ek):</span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:black" title="9789634219514" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9789634219514"> 9789634219514 </a> </span> </span> <div class="mtid"><span class="long-pub-mtid">Közlemény: 34871228</span> | <span class="status-data status-ADMIN_APPROVED"> Admin láttamozott </span> <span class="long-book-mtid">Befoglaló: 34849522</span> Forrás | <span class="type-subtype">Könyvrészlet ( Konferenciaközlemény ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">kézi felvitel</span> </div> <div class="lastModified">Utolsó módosítás: 2025.09.04. 17:13 Kósa Ilona (MTMT központi Admin, admin) </div> </div> </div>