Fractal Structure of Brain Electrical Activity of Patients With Mental Disorders
This work was aimed at a comparative analysis of the degree of multifractality of electroencephalographic time series obtained from a group of healthy subjects and from patients with mental disorders. We analyzed long-term records of patients with paranoid schizophrenia and patients with depression....
Saved in:
| Published in | Frontiers in physiology Vol. 13; p. 905318 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Frontiers Media S.A
13.07.2022
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 1664-042X 1664-042X |
| DOI | 10.3389/fphys.2022.905318 |
Cover
| Abstract | This work was aimed at a comparative analysis of the degree of multifractality of electroencephalographic time series obtained from a group of healthy subjects and from patients with mental disorders. We analyzed long-term records of patients with paranoid schizophrenia and patients with depression. To evaluate the properties of multifractal scaling of various electroencephalographic time series, the method of maximum modulus of the wavelet transform and multifractal analysis of fluctuations without a trend were used. The stability of the width and position of the singularity spectrum for each of the test groups was revealed, and a relationship was established between the correlation and anticorrelation dynamics of successive values of the electroencephalographic time series and the type of mental disorders. It was shown that the main differences between the multifractal properties of brain activity in normal and pathological conditions lie in the different width of the multifractality spectrum and its location associated with the correlated or anticorrelated dynamics of the values of successive time series. It was found that the schizophrenia group is characterized by a greater degree of multifractality compared to the depression group. Thus, the degree of multifractality can be included in a set of tests for differential diagnosis and research of mental disorders. |
|---|---|
| AbstractList | This work was aimed at a comparative analysis of the degree of multifractality of electroencephalographic time series obtained from a group of healthy subjects and from patients with mental disorders. We analyzed long-term records of patients with paranoid schizophrenia and patients with depression. To evaluate the properties of multifractal scaling of various electroencephalographic time series, the method of maximum modulus of the wavelet transform and multifractal analysis of fluctuations without a trend were used. The stability of the width and position of the singularity spectrum for each of the test groups was revealed, and a relationship was established between the correlation and anticorrelation dynamics of successive values of the electroencephalographic time series and the type of mental disorders. It was shown that the main differences between the multifractal properties of brain activity in normal and pathological conditions lie in the different width of the multifractality spectrum and its location associated with the correlated or anticorrelated dynamics of the values of successive time series. It was found that the schizophrenia group is characterized by a greater degree of multifractality compared to the depression group. Thus, the degree of multifractality can be included in a set of tests for differential diagnosis and research of mental disorders. This work was aimed at a comparative analysis of the degree of multifractality of electroencephalographic time series obtained from a group of healthy subjects and from patients with mental disorders. We analyzed long-term records of patients with paranoid schizophrenia and patients with depression. To evaluate the properties of multifractal scaling of various electroencephalographic time series, the method of maximum modulus of the wavelet transform and multifractal analysis of fluctuations without a trend were used. The stability of the width and position of the singularity spectrum for each of the test groups was revealed, and a relationship was established between the correlation and anticorrelation dynamics of successive values of the electroencephalographic time series and the type of mental disorders. It was shown that the main differences between the multifractal properties of brain activity in normal and pathological conditions lie in the different width of the multifractality spectrum and its location associated with the correlated or anticorrelated dynamics of the values of successive time series. It was found that the schizophrenia group is characterized by a greater degree of multifractality compared to the depression group. Thus, the degree of multifractality can be included in a set of tests for differential diagnosis and research of mental disorders.This work was aimed at a comparative analysis of the degree of multifractality of electroencephalographic time series obtained from a group of healthy subjects and from patients with mental disorders. We analyzed long-term records of patients with paranoid schizophrenia and patients with depression. To evaluate the properties of multifractal scaling of various electroencephalographic time series, the method of maximum modulus of the wavelet transform and multifractal analysis of fluctuations without a trend were used. The stability of the width and position of the singularity spectrum for each of the test groups was revealed, and a relationship was established between the correlation and anticorrelation dynamics of successive values of the electroencephalographic time series and the type of mental disorders. It was shown that the main differences between the multifractal properties of brain activity in normal and pathological conditions lie in the different width of the multifractality spectrum and its location associated with the correlated or anticorrelated dynamics of the values of successive time series. It was found that the schizophrenia group is characterized by a greater degree of multifractality compared to the depression group. Thus, the degree of multifractality can be included in a set of tests for differential diagnosis and research of mental disorders. |
| Author | V, Murav’eva S. E, Dick O. E, Shelepin Yu S, Lebedev V. |
| AuthorAffiliation | 1 Laboratory of Physiology of Reception , Pavlov Institute of Physiology of Russian Academy of Science , St. Petersburg , Russia 2 Laboratory of Vision Physiology , Pavlov Institute of Physiology of Russian Academy of Science , St. Petersburg , Russia |
| AuthorAffiliation_xml | – name: 1 Laboratory of Physiology of Reception , Pavlov Institute of Physiology of Russian Academy of Science , St. Petersburg , Russia – name: 2 Laboratory of Vision Physiology , Pavlov Institute of Physiology of Russian Academy of Science , St. Petersburg , Russia |
| Author_xml | – sequence: 1 givenname: Dick O. surname: E fullname: E, Dick O. – sequence: 2 givenname: Murav’eva S. surname: V fullname: V, Murav’eva S. – sequence: 3 givenname: Lebedev V. surname: S fullname: S, Lebedev V. – sequence: 4 givenname: Shelepin Yu surname: E fullname: E, Shelepin Yu |
| BookMark | eNqNUU1PVDEUbQxGEPkB7t7SzYz9fG03JoiAJBhJ0Oiu6fSDKem8jm0fZv49fTxixIWhm970nnPuuaevwd6QBgfAWwSXhAj53m_Xu7LEEOOlhIwg8QIcoL6nC0jxz72_6n1wVMotbIdCDCF6BfYJk5hggg7A1VnWpurYXdc8mjpm1yXffcw6DN1pdKbmYFr32NRwF-pual7pGtxQS_cj1HX3pZUN8CmUlK3L5Q146XUs7ujxPgTfz06_nXxeXH49vzg5vlwYwnFd-F5b4RF0nnra1uEUcuG81dwzKTS3XhC2QgRb2XxbxFcNSKyljGuhjSSH4GLWtUnfqm0OG513KumgHh5SvlE612CiU5BxgRhDCPcrSqSQkgppiGNIcyx937TwrDUOW737rWP8I4igmtJWD2mrKW01p91IH2bSdlxtnDUth6zjEydPO0NYq5t0pyShkAncBN49CuT0a3Slqk0oxsWoB5fGNqyXoidYymlZNENNTqVk55_lj__DMaG2r0uTmxD_w7wHttC6vg |
| CitedBy_id | crossref_primary_10_31857_S0301179824010064 crossref_primary_10_1142_S0218348X23501244 |
| Cites_doi | 10.1016/j.schres.2013.12.017 10.1016/j.biopsycho.2003.09.001 10.3389/fncir.2022.630621 10.1186/1753-4631-3-6 10.1007/s00422-005-0037-5 10.1007/s004249900135 10.3389/fnsys.2020.00049 10.1002/brb3.2047 10.1016/j.schres.2021.08.026 10.1016/j.neucom.2017.03.008 10.1159/000154474 10.1016/j.jneumeth.2008.06.037 10.1088/0967-3334/23/1/201 10.1063/1.3143035 10.1176/ajp.153.12.1628 10.1007/bf01053588 10.1111/j.1600-0447.2000.tb10930.x 10.1016/j.physa.2014.09.002 10.1016/j.cmpb.2005.06.011 10.1007/s10548-015-0448-0 10.1016/s0920-9964(00)00165-1 10.9758/cpn.2021.19.2.313 10.1002/9780470316672 10.1007/s11434-006-2213-y 10.1088/0967-3334/30/8/005 10.1080/00207450500402977 10.1109/tsp.2007.896269 10.1038/srep30895 10.1016/j.neucom.2011.11.013 10.1016/s0378-4371(02)01383-3 10.3389/fphys.2012.00141 10.1080/08039480701643175 10.1002/cplx.20183 10.1007/978-3-319-00846-2_172 10.21638/11701/9785288059322.03 10.1063/1.3152223 10.1007/11499220_21 10.1002/hbm.20593 10.1016/0378-4371(94)00163-n 10.1176/jnp.2009.21.2.160 10.1103/physreve.49.1685 10.1016/j.pscychresns.2008.03.009 10.3389/fphys.2018.01072 10.1016/j.neuroimage.2012.03.008 10.3109/00207450109150689 10.1103/physreve.47.875 10.1038/20924 10.1037/a0019098 |
| ContentType | Journal Article |
| Copyright | Copyright © 2022 E, V, S and E. Copyright © 2022 E, V, S and E. 2022 E, V, S and E |
| Copyright_xml | – notice: Copyright © 2022 E, V, S and E. – notice: Copyright © 2022 E, V, S and E. 2022 E, V, S and E |
| DBID | AAYXX CITATION 7X8 5PM ADTOC UNPAY DOA |
| DOI | 10.3389/fphys.2022.905318 |
| DatabaseName | CrossRef MEDLINE - Academic PubMed Central (Full Participant titles) Unpaywall for CDI: Periodical Content Unpaywall DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef MEDLINE - Academic |
| DatabaseTitleList | CrossRef MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: UNPAY name: Unpaywall url: https://proxy.k.utb.cz/login?url=https://unpaywall.org/ sourceTypes: Open Access Repository |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Anatomy & Physiology |
| DocumentTitleAlternate | E et al |
| EISSN | 1664-042X |
| ExternalDocumentID | oai_doaj_org_article_05781551126b439899489c3e51a729f6 10.3389/fphys.2022.905318 PMC9340582 10_3389_fphys_2022_905318 |
| GroupedDBID | 53G 5VS 9T4 AAFWJ AAKDD AAYXX ACGFO ACGFS ADBBV ADRAZ AENEX AFPKN ALMA_UNASSIGNED_HOLDINGS AOIJS BCNDV CITATION DIK EMOBN F5P GROUPED_DOAJ GX1 HYE KQ8 M48 M~E O5R O5S OK1 PGMZT RNS RPM 7X8 5PM ADTOC IPNFZ RIG UNPAY |
| ID | FETCH-LOGICAL-c372t-f6ad8f10ef4f438974078efda7f598a7df835b132d9004d17bf4f3dd457a8ac93 |
| IEDL.DBID | UNPAY |
| ISSN | 1664-042X |
| IngestDate | Fri Oct 03 12:46:12 EDT 2025 Sun Oct 26 04:13:48 EDT 2025 Thu Aug 21 18:32:56 EDT 2025 Thu Oct 02 09:40:16 EDT 2025 Wed Oct 01 02:27:32 EDT 2025 Thu Apr 24 22:51:14 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Language | English |
| License | This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. cc-by |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c372t-f6ad8f10ef4f438974078efda7f598a7df835b132d9004d17bf4f3dd457a8ac93 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Edited by: Marina Vladimirovna Zueva, Helmholtz Moscow Research Institute of Eye Diseases (NMITS GB), Russia This article was submitted to Gastrointestinal Sciences, a section of the journal Frontiers in Physiology Reviewed by: Peter Mukli, University of Oklahoma Health Sciences Center, United States Herbert F. Jelinek, Khalifa University, United Arab Emirates |
| OpenAccessLink | https://proxy.k.utb.cz/login?url=https://www.frontiersin.org/articles/10.3389/fphys.2022.905318/pdf |
| PMID | 35923231 |
| PQID | 2698632999 |
| PQPubID | 23479 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_05781551126b439899489c3e51a729f6 unpaywall_primary_10_3389_fphys_2022_905318 pubmedcentral_primary_oai_pubmedcentral_nih_gov_9340582 proquest_miscellaneous_2698632999 crossref_primary_10_3389_fphys_2022_905318 crossref_citationtrail_10_3389_fphys_2022_905318 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2022-07-13 |
| PublicationDateYYYYMMDD | 2022-07-13 |
| PublicationDate_xml | – month: 07 year: 2022 text: 2022-07-13 day: 13 |
| PublicationDecade | 2020 |
| PublicationTitle | Frontiers in physiology |
| PublicationYear | 2022 |
| Publisher | Frontiers Media S.A |
| Publisher_xml | – name: Frontiers Media S.A |
| References | Tislerova (B46) 2008; 58 Scafetta (B40) 2007; 12 Scafetta (B39) 2009; 19 Slezin (B41) 2007; 61 Suckling (B43) 2008; 174 Arneodo (B3) 1995; 213 Racz (B34) 2021; 11 Ihlen (B19) 2010; 139 Hochberg (B17) 1987 Racz (B35) 2020; 14 Acharya (B1) 2005; 80 Harris (B15) 2006; 116 Harris (B16) 2001; 107 Nikulin (B28) 2012; 61 Alamian (B2) 2022; 16 Wendt (B50) 2007; 55 Goff (B14) 1996; 153 Dick (B11) 2019 Sassi (B38) 2009; 19 Ranlund (B37) 2014; 153 Bachmann (B4) 2014 Lee (B24) 2021; 238 Peng (B31) 1994; 49 Wen (B49) 2016; 29 Dick (B8) 2011 Dick (B10) 2012; 82 Takashi Ozaki (B45) 2021; 19 Raghavendra (B36) 2009; 30 Eke (B12) 2002; 23 Knott (B23) 2001; 50 Mukli (B26) 2018; 9 Watters (B48) 2004; 66 Wink (B51) 2008; 29 Nurujjaman (B29) 2009; 3 Pavlov (B30) 2007; 177 Wang (B47) 2004; 23 Bacry (B5) 1993; 70 Eke (B13) 2000; 439 Muzy (B27) 1993; 47 Kantelhardt (B22) 2002; 316 Takahashi (B44) 2009; 171 Ivanov (B20) 1999; 399 Dick (B9) 2017; 243 Mukli (B25) 2015; 417 Qianli (B33) 2006; 51 John (B21) 2009; 21 Song (B42) 2005 Popivanov (B32) 2006; 94 Churchill (B7) 2016; 6 Begić (B6) 2000; 101 Ihlen (B18) 2012; 3 |
| References_xml | – volume: 153 start-page: 96 year: 2014 ident: B37 article-title: Resting EEG in Psychosis and At-Risk Populations-Aa Possible Endophenotype? publication-title: Schizophr. Res. doi: 10.1016/j.schres.2013.12.017 – volume: 66 start-page: 79 year: 2004 ident: B48 article-title: A Method for Estimating Long-Range Power Law Correlations from the Electroencephalogram publication-title: Biol. Psychol. doi: 10.1016/j.biopsycho.2003.09.001 – volume: 16 start-page: 630621 year: 2022 ident: B2 article-title: Altered Brain Criticality in Schizophrenia: New Insights from Magnetoencephalography publication-title: Front. Neural Circuits doi: 10.3389/fncir.2022.630621 – volume: 3 start-page: 6 year: 2009 ident: B29 article-title: Comparative Study of Nonlinear Properties of EEG Signals of Normal Persons and Epileptic Patients publication-title: Nonlinear Biomed. Phys. doi: 10.1186/1753-4631-3-6 – volume: 94 start-page: 149 year: 2006 ident: B32 article-title: Multifractality of Decomposed EEG during Imaginary and Real Visual-Motor Tracking publication-title: Biol. Cybern. doi: 10.1007/s00422-005-0037-5 – volume: 439 start-page: 403 year: 2000 ident: B13 article-title: Physiological Time Series: Distinguishing Fractal Noises from Motions publication-title: Pflugers Arch. - Eur. J. Physiol. doi: 10.1007/s004249900135 – volume: 14 start-page: 49 year: 2020 ident: B35 article-title: Multifractal and Entropy-Based Analysis of Delta Band Neural Activity Reveals Altered Functional Connectivity Dynamics in Schizophrenia publication-title: Front. Syst. Neurosci. doi: 10.3389/fnsys.2020.00049 – volume: 11 start-page: e02047 year: 2021 ident: B34 article-title: Separating Scale‐free and Oscillatory Components of Neural Activity in Schizophrenia publication-title: Brain Behav. doi: 10.1002/brb3.2047 – volume: 23 start-page: 511 year: 2004 ident: B47 article-title: A Significant Increase of Multifractal Behavior of Schizophrenia's EEG publication-title: Chin. Biomed. Eng. Trans. – volume: 238 start-page: 10 year: 2021 ident: B24 article-title: Alteration of Power Law Scaling of Spontaneous Brain Activity in Schizophrenia publication-title: Schizophrenia Res. doi: 10.1016/j.schres.2021.08.026 – volume: 243 start-page: 142 year: 2017 ident: B9 article-title: From Healthy to Pathology through a Fall in Dynamical Complexity of Involuntary Oscillations of the Human Hand publication-title: Neurocomputing doi: 10.1016/j.neucom.2017.03.008 – volume: 58 start-page: 1 year: 2008 ident: B46 article-title: LORETA Functional Imaging in Antipsychotic-Naive and Olanzapine-, Clozapine- and Risperidone-Treated Patients with Schizophrenia publication-title: Neuropsychobiology doi: 10.1159/000154474 – volume: 174 start-page: 292 year: 2008 ident: B43 article-title: Endogenous Multifractal Brain Dynamics Are Modulated by Age, Cholinergic Blockade and Cognitive Performance publication-title: J. Neurosci. Methods doi: 10.1016/j.jneumeth.2008.06.037 – volume: 23 start-page: R1 year: 2002 ident: B12 article-title: Fractal Characterization of Complexity in Temporal Physiological Signals publication-title: Physiol. Meas. doi: 10.1088/0967-3334/23/1/201 – volume: 19 start-page: 026108 year: 2009 ident: B39 article-title: Understanding the Complexity of Human Gait Dynamics publication-title: Chaos doi: 10.1063/1.3143035 – volume: 153 start-page: 1628 year: 1996 ident: B14 article-title: D-Cycloserine Added to Clozapine for Patients with Schizophrenia publication-title: Am. J. Psychiatry doi: 10.1176/ajp.153.12.1628 – volume: 70 start-page: 635 year: 1993 ident: B5 article-title: Singularity Spectrum of Fractal Signals: Exact Results publication-title: J. Stat. Phys. doi: 10.1007/bf01053588 – volume: 101 start-page: 307 year: 2000 ident: B6 article-title: Quantitative EEG in ‘positive’ and ‘negative’ Schizophrenia publication-title: Acta Psychiatr. Scand. doi: 10.1111/j.1600-0447.2000.tb10930.x – volume: 417 start-page: 150 year: 2015 ident: B25 article-title: Multifractal Formalism by Enforcing the Universal Behavior of Scaling Functions publication-title: Phys. A Stat. Mech. its Appl. doi: 10.1016/j.physa.2014.09.002 – volume: 80 start-page: 37 year: 2005 ident: B1 article-title: Non-linear Analysis of EEG Signals at Various Sleep Stages publication-title: Comput. Methods Programs Biomed. doi: 10.1016/j.cmpb.2005.06.011 – volume: 29 start-page: 13 year: 2016 ident: B49 article-title: Separating Fractal and Oscillatory Components in the Power Spectrum of Neurophysiological Signal publication-title: Brain Topogr. doi: 10.1007/s10548-015-0448-0 – volume: 50 start-page: 41 year: 2001 ident: B23 article-title: Quantitative EEG in Schizophrenia and in Response to Acute and Chronic Clozapine Treatment publication-title: Schizophr. Res. doi: 10.1016/s0920-9964(00)00165-1 – volume: 19 start-page: 313 year: 2021 ident: B45 article-title: Quantitative Resting State Electroencephalography in Patients with Schizophrenia Spectrum Disorders Treated with Strict Monotherapy Using Atypical Antipsychotics publication-title: Clin. Psychopharmacol. Neurosci. doi: 10.9758/cpn.2021.19.2.313 – volume-title: Multiple Comparison Procedures year: 1987 ident: B17 doi: 10.1002/9780470316672 – volume: 51 start-page: 3059 year: 2006 ident: B33 article-title: A New Measure to Characterize Multifractality of Sleep Electroencephalogram publication-title: Chin. Sci. Bull. doi: 10.1007/s11434-006-2213-y – volume: 30 start-page: 795 year: 2009 ident: B36 article-title: Complexity Analysis of EEG in Patients with Schizophrenia Using Fractal Dimension publication-title: Physiol. Meas. doi: 10.1088/0967-3334/30/8/005 – volume: 116 start-page: 223 year: 2006 ident: B15 article-title: Dynamic Spectral Analysis Findings in First Episode and Chronic Schizophrenia publication-title: Int. J. Neurosci. doi: 10.1080/00207450500402977 – start-page: 159 year: 2011 ident: B8 article-title: Multifractal and Wavelet Analysis of Epileptic Seizures – volume: 55 start-page: 4811 year: 2007 ident: B50 article-title: Multifractality Tests Using Bootstrapped Wavelet Leaders publication-title: IEEE Trans. Signal Process. doi: 10.1109/tsp.2007.896269 – volume: 6 start-page: 30895 year: 2016 ident: B7 article-title: The Suppression of Scale-free fMRI Brain Dynamics across Three Different Sources of Effort: Aging, Task Novelty and Task Difficulty publication-title: Sci. Rep. doi: 10.1038/srep30895 – volume: 82 start-page: 207 year: 2012 ident: B10 article-title: Potentialities of the Wavelet and Multifractal Techniques to Evaluate Changes in the Functional State of the Human Brain publication-title: Neurocomputing doi: 10.1016/j.neucom.2011.11.013 – volume: 316 start-page: 87 year: 2002 ident: B22 article-title: Multifractal Detrended Fluctuation Analysis of Nonstationary Time Series publication-title: Phys. A Stat. Mech. its Appl. doi: 10.1016/s0378-4371(02)01383-3 – volume: 3 start-page: 141 year: 2012 ident: B18 article-title: Introduction to Multifractal Detrended Fluctuation Analysis in Matlab publication-title: Front. Physio. doi: 10.3389/fphys.2012.00141 – volume: 61 start-page: 339 year: 2007 ident: B41 article-title: Multifractal Analysis as an Aid in the Diagnostics of Mental Disorders publication-title: Nordic J. Psychiatry doi: 10.1080/08039480701643175 – volume: 12 start-page: 12 year: 2007 ident: B40 article-title: Fractal Response of Physiological Signals to Stress Conditions, Environmental Changes, and Neurodegenerative Diseases publication-title: Complexity doi: 10.1002/cplx.20183 – start-page: 694 volume-title: XIII Mediterranean Conference on Medical and Biological Engineering and Computing year: 2014 ident: B4 article-title: Detrended Fluctuation Analysis of EEG in Depression doi: 10.1007/978-3-319-00846-2_172 – start-page: 36 volume-title: Mechanisms of Changes in Dynamical Complexity of Physiological Signal Patterns year: 2019 ident: B11 doi: 10.21638/11701/9785288059322.03 – volume: 19 start-page: 028507 year: 2009 ident: B38 article-title: Multifractality and Heart Rate Variability publication-title: Chaos doi: 10.1063/1.3152223 – volume: 177 start-page: 859 year: 2007 ident: B30 article-title: Multifractal Analysis of Complex Signals publication-title: Phys.-Uspekhi – start-page: 281 volume-title: Mechanisms, Symbols, and Models Underlying Cognition year: 2005 ident: B42 article-title: Fluctuation Dynamics in Electroencephalogram Time Series doi: 10.1007/11499220_21 – volume: 29 start-page: 791 year: 2008 ident: B51 article-title: Monofractal and Multifractal Dynamics of Low Frequency Endogenous Brain Oscillations in Functional MRI publication-title: Hum. Brain Mapp. doi: 10.1002/hbm.20593 – volume: 213 start-page: 232 year: 1995 ident: B3 article-title: The Thermodynamics of Fractals Revisited with Wavelets publication-title: Phys. A Stat. Mech. its Appl. doi: 10.1016/0378-4371(94)00163-n – volume: 21 start-page: 160 year: 2009 ident: B21 article-title: EEG Power Spectra Differentiate Positive and Negative Subgroups in Neuroleptic-Naive Schizophrenia Patients publication-title: Jnp doi: 10.1176/jnp.2009.21.2.160 – volume: 49 start-page: 1685 year: 1994 ident: B31 article-title: Mosaic Organization of DNA Nucleotides publication-title: Phys. Rev. E doi: 10.1103/physreve.49.1685 – volume: 171 start-page: 177 year: 2009 ident: B44 article-title: Application of a Multifractal Analysis to Study Brain White Matter Abnormalities of Schizophrenia on T2-Weighted Magnetic Resonance Imaging publication-title: Psychiatry Res. Neuroimaging doi: 10.1016/j.pscychresns.2008.03.009 – volume: 9 start-page: 1072 year: 2018 ident: B26 article-title: Impact of Healthy Aging on Multifractal Hemodynamic Fluctuations in the Human Prefrontal Cortex publication-title: Front. Physiol. doi: 10.3389/fphys.2018.01072 – volume: 61 start-page: 162 year: 2012 ident: B28 article-title: Attenuation of Long-Range Temporal Correlations in the Amplitude Dynamics of Alpha and Beta Neuronal Oscillations in Patients with Schizophrenia publication-title: NeuroImage doi: 10.1016/j.neuroimage.2012.03.008 – volume: 107 start-page: 265 year: 2001 ident: B16 article-title: The Topography of Quantified Electroencephalography in Three Syndromes of Schizophrenia publication-title: Int. J. Neurosci. doi: 10.3109/00207450109150689 – volume: 47 start-page: 875 year: 1993 ident: B27 article-title: Multifractal Formalism for Fractal Signals: the Structure-Function Approach versus the Wavelet-Transform Modulus-Maxima Method publication-title: Phys. Rev. E doi: 10.1103/physreve.47.875 – volume: 399 start-page: 461 year: 1999 ident: B20 article-title: Multifractality in Human Heartbeat Dynamics publication-title: Nature doi: 10.1038/20924 – volume: 139 start-page: 436 year: 2010 ident: B19 article-title: Interaction-dominant. Dynamics in Human Cognition: Beyond 1/f. a. Fluctuation publication-title: J. Exp. Psychol. General doi: 10.1037/a0019098 |
| SSID | ssj0000402001 |
| Score | 2.353248 |
| Snippet | This work was aimed at a comparative analysis of the degree of multifractality of electroencephalographic time series obtained from a group of healthy subjects... |
| SourceID | doaj unpaywall pubmedcentral proquest crossref |
| SourceType | Open Website Open Access Repository Aggregation Database Enrichment Source Index Database |
| StartPage | 905318 |
| SubjectTerms | brain activity depression multifractality Physiology schizophrenia singularity spectrum |
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LT9wwELYqLu2lggJqeMlIiENRShwnfhyXihVCAiEVVG6R44dAWrIIdoX498zYu6sNh3LhGjtxPDP2zOfHN4QctNYYVSuX-2DbvGoFjLnSsVxI702oKmsFXk6-uBRnN9X5bX27lOoLz4QleuAkuGOIJxS6dVaKFpwnwINKact9zQzEhSGSbRdKL4GpOAcjLCpY2sYEFKaPA64UAB4sy98aDU_1HFHk6-8Fme-PSH6ddo_m9cWMRkv-Z7hKvs8CRzpIP7xGvvjuB1kfdACaH17pIY1HOeMa-Tq5GuLdJ6j9N7LDTp88HQd6gtkg6GnMe4OqoQObUkdg4VXiV32m_-4ndzQx-9A5NefzBrkZnl7_OctnqRNyy2U5yYMwTgVW-FAFzG8ucbvOB2dkqLUy0gWIvFpAok6DrByTLVTkzlW1NMpYzTfJSjfu_E9CtePaMVA0Z6Yqmde6dkJamBiKIHhpM1LM5djYGa84prcYNYAvUPRNFH2Dom-S6DPya_HKYyLV-F_lE1TOoiLyYccHYCXNzEqaj6wkI_tz1TYwfnBTxHR-PIWWhFbQDYiTMyJ7Ou-12C_p7u8iE7fmEO-qMiNHC-v4uENbn9GhbfINP4mrzIzvkBUwJ78L4dGk3Ysj4Q0-ogz2 priority: 102 providerName: Directory of Open Access Journals – databaseName: Scholars Portal Journals: Open Access dbid: M48 link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1bb9MwFLbGeIAXBAxEuMlIaA-gjNpOfHlAqEOrJqShSVDRt8jxZZtU0q4XQf895zhpRdAEvDZO0hwfx9_n43wfIa9rZ60utc9DdHVe1BLGHPcslyoEG4vCOYkfJ599lqfj4tOknOyRbfW8C-DyRmqHflLjxfTo5_XmAwz498g4Yb59F3ERAKge50cGc0ofzq9z9JXC-mtnsnGL3Ia5y6C5w1lHANK7GulT8khmUuKODD5pS583X7g3eSWN_x4w_XNb5Z11M7ebH3Y6_W3OGt0n9zqwSYdtdjwge6F5SA6GDRDt7xt6SNP2z7SufkDOR_i9FLT-khRl14tAZ5Eeo4MEPUleOdiddOhauwk8eN5qsi7pt6vVJW3VgOhWznP5iIxHJ18_nuad3ULuhOKrPErrdWSDEIuInugKS3wheqtiabRVPgJaq4G9egNx80zV0FB4X5TKauuMeEz2m1kTnhBqvDCeQXIIZgvOgjGll8rBy2QQpeAuI4NtHCvXaZGjJca0Ak6Coa9S6CsMfdWGPiNvdqfMWyGOvzU-xs7ZNUQN7fTDbHFRdUOyAqSqETAyLmuAZUA8C22cCCWzwDiizMirbddWMOawkGKbMFvDnaTR8BiArTOien3eu2P_SHN1mdS7jQCMrHlG3u6y498P9PQ__sszchfPwIVnJp6TfciW8AIQ06p-mZL-F7OWFlo priority: 102 providerName: Scholars Portal |
| Title | Fractal Structure of Brain Electrical Activity of Patients With Mental Disorders |
| URI | https://www.proquest.com/docview/2698632999 https://pubmed.ncbi.nlm.nih.gov/PMC9340582 https://www.frontiersin.org/articles/10.3389/fphys.2022.905318/pdf https://doaj.org/article/05781551126b439899489c3e51a729f6 |
| UnpaywallVersion | publishedVersion |
| Volume | 13 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAFT databaseName: Open Access Digital Library customDbUrl: eissn: 1664-042X dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000402001 issn: 1664-042X databaseCode: KQ8 dateStart: 20100101 isFulltext: true titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html providerName: Colorado Alliance of Research Libraries – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 1664-042X dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000402001 issn: 1664-042X databaseCode: DOA dateStart: 20100101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVBFR databaseName: Free Medical Journals - Free Access to All customDbUrl: eissn: 1664-042X dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000402001 issn: 1664-042X databaseCode: DIK dateStart: 20100101 isFulltext: true titleUrlDefault: http://www.freemedicaljournals.com providerName: Flying Publisher – providerCode: PRVFQY databaseName: GFMER Free Medical Journals customDbUrl: eissn: 1664-042X dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000402001 issn: 1664-042X databaseCode: GX1 dateStart: 0 isFulltext: true titleUrlDefault: http://www.gfmer.ch/Medical_journals/Free_medical.php providerName: Geneva Foundation for Medical Education and Research – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 1664-042X dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000402001 issn: 1664-042X databaseCode: M~E dateStart: 20100101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVAQN databaseName: Medline (PubMed) customDbUrl: eissn: 1664-042X dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000402001 issn: 1664-042X databaseCode: RPM dateStart: 20100101 isFulltext: true titleUrlDefault: https://www.ncbi.nlm.nih.gov/pmc/ providerName: National Library of Medicine – providerCode: PRVFZP databaseName: Scholars Portal Journals: Open Access customDbUrl: eissn: 1664-042X dateEnd: 20250131 omitProxy: true ssIdentifier: ssj0000402001 issn: 1664-042X databaseCode: M48 dateStart: 20100601 isFulltext: true titleUrlDefault: http://journals.scholarsportal.info providerName: Scholars Portal |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3fa9swED629GF76X50Y-66osHYw4bTyLJl6TEdDWXQEtjCsicj6wcNS53QJozur--d7YS6jI2xF0PsE0bSXfx90uk7gHelNUZlysU-2DJOS4kxlzgey9x7E9LUWkmHk8_O5ekk_TzNpnfOwlBaZaCj-1QIelY1SsFtihhFODIqfRSI9SO3S5K-JidSR0sXHsKOzBCP92Bncj4efiemJSVlWSTTZjvz9207H6Rat78DNu-nSj5aV0tz89PM53e-Q6MnYDc9aNJPfvTXq7Jvf90Td_y_Lj6F3RamsmHT4Bk88NVz2BtWSNEvb9h7VieO1ivyezAe0UkrtP5Sa9GurzxbBHZMtSfYSV1lhxyBDW1TqIIejhs112v2bba6YI2OENsIgV6_gMno5Oun07gt1BBbkSerOEjjVOADH9JA1dRz2hz0wZk8ZFqZ3AXEeSXyXqcxJh3PSzQUzqVZbpSxWryEXrWo_Ctg2gntOLqV4CZNuNc6czK3-Dc0CFIkNoLBZrYK26qYUzGNeYFshkauqEeuoJErmpGL4MO2ybKR8PiT8TG5wNaQ1LfrGzhLRTtLBWJcRVCTJ7JEQIeUNVXaCp9xg1wlyAjebhyowGilLRhT-cUa3yS1wm4gKo8g73hW543dJ9Xsotb91gLRtUoi-Lj1wb93aP-frF_DY_pFi9dcHEAP_ca_QdS1Kg_r1Qq8nqXqsA2xW-oFL7Q |
| linkProvider | Unpaywall |
| linkToUnpaywall | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1bi9NAFD5o90FfvK1ivDGC-KCk20ySuTx2ZcsiuBS0WJ_CZC5ssabFbZH113tOJi2bRRTxMckZwsyck3zfzJnvALyqrTGqVC71wdZpUQuMOe6yVEjvTSgKawUdTv5wJk5nxft5Ob9yFobSKgMd3adC0IsmKgV3KWIU4cio9FEg1o_cjvOhJidSR2sXbsKBKBGPD-BgdjYdfyGmJQRlWfB53M78fdveD6nV7e-Bzeupkre2zdpc_jDL5ZX_0OQu2F0PYvrJ1-F2Uw_tz2vijv_XxXtwp4OpbBwb3IcbvnkAh-MGKfq3S_aatYmj7Yr8IUwndNIKrT-2WrTb756tAjum2hPspK2yQ47AxjYWqqCH06jmesE-LzbnLOoIsZ0Q6MVDmE1OPr07TbtCDanNJd-kQRinQjbyoQhUTV3S5qAPzshQamWkC4jzauS9TmNMukzWaJg7V5TSKGN1_ggGzarxj4Fpl2uXoVvlmSl45rUunZAWP0OjIHJuExjtZquynYo5FdNYVshmaOSqduQqGrkqjlwCb_ZN1lHC40_Gx-QCe0NS325v4CxV3SxViHEVQc2MixoBHVLWQmmb-zIzyFWCSODlzoEqjFbagjGNX23xTUIr7Aai8gRkz7N6b-w_aRbnre63zhFdK57A270P_r1DT_7J-incpitavM7yZzBAv_HPEXVt6hddWP0CvoMt5Q |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Fractal+Structure+of+Brain+Electrical+Activity+of+Patients+With+Mental+Disorders&rft.jtitle=Frontiers+in+physiology&rft.au=E%2C+Dick+O&rft.au=V%2C+Murav%27eva+S&rft.au=S%2C+Lebedev+V&rft.au=E%2C+Shelepin+Yu&rft.date=2022-07-13&rft.issn=1664-042X&rft.eissn=1664-042X&rft.volume=13&rft.spage=905318&rft_id=info:doi/10.3389%2Ffphys.2022.905318&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1664-042X&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1664-042X&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1664-042X&client=summon |