Neurophysiological Characteristics of Patients with Juvenile Schizophrenia at the Late Follow-Up Stage
Objective. To determine the neurophysiological features of schizophrenia at late (more than 20 years) follow- up and identify correlations between neurophysiological indicators and the clinical characteristics of the disease. Materials and methods. Patients of three groups were studied: those with a...
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| Veröffentlicht in: | Neuroscience and behavioral physiology 2020-11, Vol.50 (9), p.1140-1145 |
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| container_title | Neuroscience and behavioral physiology |
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| creator | Lebedeva, I. S. Golubev, S. A. Klochkova, I. V. Kaleda, V. G. |
| description | Objective.
To determine the neurophysiological features of schizophrenia at late (more than 20 years) follow- up and identify correlations between neurophysiological indicators and the clinical characteristics of the disease.
Materials and methods.
Patients of three groups were studied: those with a predominance of personality changes (group 1, 17 patients), those with negative disorders (group 2, 23 patients), and those with marked positive and negative disorders (group 3, 40 patients). The main study methods were psychopathological and neurophysiological, with assessment of event-linked potentials.
Results and conclusions.
A statistically significantly greater θ-rhythm frequency and a significantly lower α-rhythm frequency were found in group 3, the dominant frequency of the θ rhythm showing a correlation (positive) with the total score for positive disorders on the PANSS. No statistically significant between-group differences were seen in measures of the P300 wave of auditory event-related potential recorded in the oddball paradigm. These results are considered in the framework of views of the role of θ activity as a marker for hippocampal-prefrontal interactions. |
| doi_str_mv | 10.1007/s11055-020-01016-8 |
| format | Article |
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To determine the neurophysiological features of schizophrenia at late (more than 20 years) follow- up and identify correlations between neurophysiological indicators and the clinical characteristics of the disease.
Materials and methods.
Patients of three groups were studied: those with a predominance of personality changes (group 1, 17 patients), those with negative disorders (group 2, 23 patients), and those with marked positive and negative disorders (group 3, 40 patients). The main study methods were psychopathological and neurophysiological, with assessment of event-linked potentials.
Results and conclusions.
A statistically significantly greater θ-rhythm frequency and a significantly lower α-rhythm frequency were found in group 3, the dominant frequency of the θ rhythm showing a correlation (positive) with the total score for positive disorders on the PANSS. No statistically significant between-group differences were seen in measures of the P300 wave of auditory event-related potential recorded in the oddball paradigm. These results are considered in the framework of views of the role of θ activity as a marker for hippocampal-prefrontal interactions.</description><identifier>ISSN: 0097-0549</identifier><identifier>EISSN: 1573-899X</identifier><identifier>DOI: 10.1007/s11055-020-01016-8</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Auditory evoked potentials ; Behavioral Sciences ; Biomedical and Life Sciences ; Biomedicine ; Event-related potentials ; Hippocampus ; Mental disorders ; Neurobiology ; Neurosciences ; Schizophrenia ; Statistical analysis</subject><ispartof>Neuroscience and behavioral physiology, 2020-11, Vol.50 (9), p.1140-1145</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2020</rights><rights>Springer Science+Business Media, LLC, part of Springer Nature 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c1858-6f37cddcb4bedffacb5c46c2e6fb1e5a87b1b3e51b2bf15e8688a1ac285c368a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11055-020-01016-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11055-020-01016-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Lebedeva, I. S.</creatorcontrib><creatorcontrib>Golubev, S. A.</creatorcontrib><creatorcontrib>Klochkova, I. V.</creatorcontrib><creatorcontrib>Kaleda, V. G.</creatorcontrib><title>Neurophysiological Characteristics of Patients with Juvenile Schizophrenia at the Late Follow-Up Stage</title><title>Neuroscience and behavioral physiology</title><addtitle>Neurosci Behav Physi</addtitle><description>Objective.
To determine the neurophysiological features of schizophrenia at late (more than 20 years) follow- up and identify correlations between neurophysiological indicators and the clinical characteristics of the disease.
Materials and methods.
Patients of three groups were studied: those with a predominance of personality changes (group 1, 17 patients), those with negative disorders (group 2, 23 patients), and those with marked positive and negative disorders (group 3, 40 patients). The main study methods were psychopathological and neurophysiological, with assessment of event-linked potentials.
Results and conclusions.
A statistically significantly greater θ-rhythm frequency and a significantly lower α-rhythm frequency were found in group 3, the dominant frequency of the θ rhythm showing a correlation (positive) with the total score for positive disorders on the PANSS. No statistically significant between-group differences were seen in measures of the P300 wave of auditory event-related potential recorded in the oddball paradigm. These results are considered in the framework of views of the role of θ activity as a marker for hippocampal-prefrontal interactions.</description><subject>Auditory evoked potentials</subject><subject>Behavioral Sciences</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Event-related potentials</subject><subject>Hippocampus</subject><subject>Mental disorders</subject><subject>Neurobiology</subject><subject>Neurosciences</subject><subject>Schizophrenia</subject><subject>Statistical analysis</subject><issn>0097-0549</issn><issn>1573-899X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kE1LAzEURYMoWKt_wFXAdTSZTCbpUor1g6JCLbgLmfSlkzI2Y5Ja6q93tII7V48L99wHB6FzRi8ZpfIqMUaFILSghDLKKqIO0IAJyYkajV4P0YDSkSRUlKNjdJLSivaQVHSA3CNsYuiaXfKhDUtvTYvHjYnGZog-ZW8TDg4_m-xhnRPe-tzgh80HrH0LeGYb_9nTsY8Gm4xzA3hqMuBJaNuwJfMOz7JZwik6cqZNcPZ7h2g-uXkZ35Hp0-39-HpKLFNCkcpxaRcLW5c1LJwztha2rGwBlasZCKNkzWoOgtVF7ZgAVSllmLGFEpZXyvAhutjvdjG8byBlvQqbuO5f6qKUnAteStm3in3LxpBSBKe76N9M3GlG9bdPvfepe5_6x6dWPcT3UOrL6yXEv-l_qC_iyXrk</recordid><startdate>20201101</startdate><enddate>20201101</enddate><creator>Lebedeva, I. S.</creator><creator>Golubev, S. A.</creator><creator>Klochkova, I. V.</creator><creator>Kaleda, V. 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A. ; Klochkova, I. V. ; Kaleda, V. G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1858-6f37cddcb4bedffacb5c46c2e6fb1e5a87b1b3e51b2bf15e8688a1ac285c368a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Auditory evoked potentials</topic><topic>Behavioral Sciences</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Event-related potentials</topic><topic>Hippocampus</topic><topic>Mental disorders</topic><topic>Neurobiology</topic><topic>Neurosciences</topic><topic>Schizophrenia</topic><topic>Statistical analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lebedeva, I. S.</creatorcontrib><creatorcontrib>Golubev, S. A.</creatorcontrib><creatorcontrib>Klochkova, I. V.</creatorcontrib><creatorcontrib>Kaleda, V. G.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Physical Education Index</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><jtitle>Neuroscience and behavioral physiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lebedeva, I. S.</au><au>Golubev, S. A.</au><au>Klochkova, I. V.</au><au>Kaleda, V. G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Neurophysiological Characteristics of Patients with Juvenile Schizophrenia at the Late Follow-Up Stage</atitle><jtitle>Neuroscience and behavioral physiology</jtitle><stitle>Neurosci Behav Physi</stitle><date>2020-11-01</date><risdate>2020</risdate><volume>50</volume><issue>9</issue><spage>1140</spage><epage>1145</epage><pages>1140-1145</pages><issn>0097-0549</issn><eissn>1573-899X</eissn><abstract>Objective.
To determine the neurophysiological features of schizophrenia at late (more than 20 years) follow- up and identify correlations between neurophysiological indicators and the clinical characteristics of the disease.
Materials and methods.
Patients of three groups were studied: those with a predominance of personality changes (group 1, 17 patients), those with negative disorders (group 2, 23 patients), and those with marked positive and negative disorders (group 3, 40 patients). The main study methods were psychopathological and neurophysiological, with assessment of event-linked potentials.
Results and conclusions.
A statistically significantly greater θ-rhythm frequency and a significantly lower α-rhythm frequency were found in group 3, the dominant frequency of the θ rhythm showing a correlation (positive) with the total score for positive disorders on the PANSS. No statistically significant between-group differences were seen in measures of the P300 wave of auditory event-related potential recorded in the oddball paradigm. These results are considered in the framework of views of the role of θ activity as a marker for hippocampal-prefrontal interactions.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11055-020-01016-8</doi><tpages>6</tpages></addata></record> |
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| subjects | Auditory evoked potentials Behavioral Sciences Biomedical and Life Sciences Biomedicine Event-related potentials Hippocampus Mental disorders Neurobiology Neurosciences Schizophrenia Statistical analysis |
| title | Neurophysiological Characteristics of Patients with Juvenile Schizophrenia at the Late Follow-Up Stage |
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