Connectivity maps based analysis of EEG for the advanced diagnosis of schizophrenia attributes.
This article presents a novel connectivity analysis method that is suitable for multi-node networks such as EEG, MEG or EcOG electrode recordings. Its diagnostic power and ability to interpret brain states in schizophrenia is demonstrated on a set of 50 subjects that constituted of 25 healthy and 25...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2017-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC5648105?pdf=render |
| _version_ | 1818286855392591872 |
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| author | Zack Dvey-Aharon Noa Fogelson Abraham Peled Nathan Intrator |
| author_facet | Zack Dvey-Aharon Noa Fogelson Abraham Peled Nathan Intrator |
| author_sort | Zack Dvey-Aharon |
| collection | DOAJ |
| description | This article presents a novel connectivity analysis method that is suitable for multi-node networks such as EEG, MEG or EcOG electrode recordings. Its diagnostic power and ability to interpret brain states in schizophrenia is demonstrated on a set of 50 subjects that constituted of 25 healthy and 25 diagnosed with schizophrenia and treated with medication. The method can also be used for the automatic detection of schizophrenia; it exhibits higher sensitivity than state-of-the-art methods with no false positives. The detection is based on an analysis from a minute long pattern-recognition computer task. Moreover, this connectivity analysis leads naturally to an optimal choice of electrodes and hence to highly statistically significant results that are based on data from only 3-5 electrodes. The method is general and can be used for the diagnosis of other psychiatric conditions, provided an appropriate computer task is devised. |
| first_indexed | 2024-12-13T01:31:13Z |
| format | Article |
| id | doaj.art-035a228089af4b72bcd79ad2d6f84a66 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-13T01:31:13Z |
| publishDate | 2017-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-035a228089af4b72bcd79ad2d6f84a662022-12-22T00:03:59ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-011210e018585210.1371/journal.pone.0185852Connectivity maps based analysis of EEG for the advanced diagnosis of schizophrenia attributes.Zack Dvey-AharonNoa FogelsonAbraham PeledNathan IntratorThis article presents a novel connectivity analysis method that is suitable for multi-node networks such as EEG, MEG or EcOG electrode recordings. Its diagnostic power and ability to interpret brain states in schizophrenia is demonstrated on a set of 50 subjects that constituted of 25 healthy and 25 diagnosed with schizophrenia and treated with medication. The method can also be used for the automatic detection of schizophrenia; it exhibits higher sensitivity than state-of-the-art methods with no false positives. The detection is based on an analysis from a minute long pattern-recognition computer task. Moreover, this connectivity analysis leads naturally to an optimal choice of electrodes and hence to highly statistically significant results that are based on data from only 3-5 electrodes. The method is general and can be used for the diagnosis of other psychiatric conditions, provided an appropriate computer task is devised.http://europepmc.org/articles/PMC5648105?pdf=render |
| spellingShingle | Zack Dvey-Aharon Noa Fogelson Abraham Peled Nathan Intrator Connectivity maps based analysis of EEG for the advanced diagnosis of schizophrenia attributes. PLoS ONE |
| title | Connectivity maps based analysis of EEG for the advanced diagnosis of schizophrenia attributes. |
| title_full | Connectivity maps based analysis of EEG for the advanced diagnosis of schizophrenia attributes. |
| title_fullStr | Connectivity maps based analysis of EEG for the advanced diagnosis of schizophrenia attributes. |
| title_full_unstemmed | Connectivity maps based analysis of EEG for the advanced diagnosis of schizophrenia attributes. |
| title_short | Connectivity maps based analysis of EEG for the advanced diagnosis of schizophrenia attributes. |
| title_sort | connectivity maps based analysis of eeg for the advanced diagnosis of schizophrenia attributes |
| url | http://europepmc.org/articles/PMC5648105?pdf=render |
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