P300 Analysis Using High-Density EEG to Decipher Neural Response to rTMS in Patients With Schizophrenia and Auditory Verbal Hallucinations
Schizophrenia is a complex disorder about which much is still unknown. Potential treatments, such as transcranial magnetic stimulation (TMS), have not been exploited, in part because of the variability in behavioral response. This can be overcome with the use of response biomarkers. It has been howe...
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Frontiers Media S.A.
2020-11-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2020.575538/full |
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author | Romain Aubonnet Ovidiu C. Banea Ovidiu C. Banea Roberta Sirica Eric M. Wassermann Sahar Yassine Deborah Jacob Brynja Björk Magnúsdóttir Brynja Björk Magnúsdóttir Magnús Haraldsson Sigurjon B. Stefansson Viktor D. Jónasson Eysteinn Ívarsson Aron D. Jónasson Mahmoud Hassan Mahmoud Hassan Paolo Gargiulo Paolo Gargiulo |
author_facet | Romain Aubonnet Ovidiu C. Banea Ovidiu C. Banea Roberta Sirica Eric M. Wassermann Sahar Yassine Deborah Jacob Brynja Björk Magnúsdóttir Brynja Björk Magnúsdóttir Magnús Haraldsson Sigurjon B. Stefansson Viktor D. Jónasson Eysteinn Ívarsson Aron D. Jónasson Mahmoud Hassan Mahmoud Hassan Paolo Gargiulo Paolo Gargiulo |
author_sort | Romain Aubonnet |
collection | DOAJ |
description | Schizophrenia is a complex disorder about which much is still unknown. Potential treatments, such as transcranial magnetic stimulation (TMS), have not been exploited, in part because of the variability in behavioral response. This can be overcome with the use of response biomarkers. It has been however shown that repetitive transcranial magnetic stimulation (rTMS) can the relieve positive and negative symptoms of schizophrenia, particularly auditory verbal hallucinations (AVH). This exploratory work aims to establish a quantitative methodological tool, based on high-density electroencephalogram (HD-EEG) data analysis, to assess the effect of rTMS on patients with schizophrenia and AVH. Ten schizophrenia patients with drug-resistant AVH were divided into two groups: the treatment group (TG) received 1 Hz rTMS treatment during 10 daily sessions (900 pulses/session) over the left T3-P3 International 10-20 location. The control group (CG) received rTMS treatment over the Cz (vertex) EEG location. We used the P300 oddball auditory paradigm, known for its reduced amplitude in schizophrenia with AVH, and recorded high-density electroencephalography (HD-EEG, 256 channels), twice for each patient: pre-rTMS and 1 week post-rTMS treatment. The use of HD-EEG enabled the analysis of the data in the time domain, but also in the frequency and source-space connectivity domains. The HD-EEG data were linked with the clinical outcome derived from the auditory hallucinations subscale (AHS) of the Psychotic Symptom Rating Scale (PSYRATS), the Quality of Life Scale (QoLS), and the Depression, Anxiety and Stress Scale (DASS). The general results show a variability between subjects, independent of the group they belong to. The time domain showed a higher N1-P3 amplitude post-rTMS, the frequency domain a higher power spectral density (PSD) in the alpha and beta bands, and the connectivity analysis revealed a higher brain network integration (quantified using the participation coefficient) in the beta band. Despite the small number of subjects and the high variability of the results, this work shows a robust data analysis and an interplay between morphology, spectral, and connectivity data. The identification of a trend post-rTMS for each domain in our results is a first step toward the definition of quantitative neurophysiological parameters to assess rTMS treatment. |
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spelling | doaj.art-39e69b5522fa4ffba72192494b0d30c92022-12-21T23:10:50ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2020-11-011410.3389/fnins.2020.575538575538P300 Analysis Using High-Density EEG to Decipher Neural Response to rTMS in Patients With Schizophrenia and Auditory Verbal HallucinationsRomain Aubonnet0Ovidiu C. Banea1Ovidiu C. Banea2Roberta Sirica3Eric M. Wassermann4Sahar Yassine5Deborah Jacob6Brynja Björk Magnúsdóttir7Brynja Björk Magnúsdóttir8Magnús Haraldsson9Sigurjon B. Stefansson10Viktor D. Jónasson11Eysteinn Ívarsson12Aron D. Jónasson13Mahmoud Hassan14Mahmoud Hassan15Paolo Gargiulo16Paolo Gargiulo17Institute of Biomedical and Neural Engineering/Medical Technology Center, Reykjavik University, Reykjavik, IcelandInstitute of Biomedical and Neural Engineering/Medical Technology Center, Reykjavik University, Reykjavik, IcelandClinical Neurophysiology Unit, Neurology Department, National University Hospital of Iceland, Reykjavik, IcelandInstitute of Biomedical and Neural Engineering/Medical Technology Center, Reykjavik University, Reykjavik, IcelandNational Institute of Neurological Disorders and Stroke, Bethesda, MD, United StatesNeuroKyma, Rennes, FranceInstitute of Biomedical and Neural Engineering/Medical Technology Center, Reykjavik University, Reykjavik, IcelandDepartment of Psychiatry, National University Hospital, Reykjavik, IcelandDepartment of Psychology, Reykjavik University, Reykjavik, IcelandDepartment of Psychiatry, National University Hospital, Reykjavik, IcelandClinical Neurophysiology Unit, Neurology Department, National University Hospital of Iceland, Reykjavik, IcelandDepartment of Psychology, Reykjavik University, Reykjavik, IcelandClinical Neurophysiology Unit, Neurology Department, National University Hospital of Iceland, Reykjavik, IcelandClinical Neurophysiology Unit, Neurology Department, National University Hospital of Iceland, Reykjavik, IcelandNeuroKyma, Rennes, FranceUniversity of Rennes 1, LTSI, Rennes, FranceInstitute of Biomedical and Neural Engineering/Medical Technology Center, Reykjavik University, Reykjavik, IcelandDepartment of Science, National University Hospital, Reykjavik, IcelandSchizophrenia is a complex disorder about which much is still unknown. Potential treatments, such as transcranial magnetic stimulation (TMS), have not been exploited, in part because of the variability in behavioral response. This can be overcome with the use of response biomarkers. It has been however shown that repetitive transcranial magnetic stimulation (rTMS) can the relieve positive and negative symptoms of schizophrenia, particularly auditory verbal hallucinations (AVH). This exploratory work aims to establish a quantitative methodological tool, based on high-density electroencephalogram (HD-EEG) data analysis, to assess the effect of rTMS on patients with schizophrenia and AVH. Ten schizophrenia patients with drug-resistant AVH were divided into two groups: the treatment group (TG) received 1 Hz rTMS treatment during 10 daily sessions (900 pulses/session) over the left T3-P3 International 10-20 location. The control group (CG) received rTMS treatment over the Cz (vertex) EEG location. We used the P300 oddball auditory paradigm, known for its reduced amplitude in schizophrenia with AVH, and recorded high-density electroencephalography (HD-EEG, 256 channels), twice for each patient: pre-rTMS and 1 week post-rTMS treatment. The use of HD-EEG enabled the analysis of the data in the time domain, but also in the frequency and source-space connectivity domains. The HD-EEG data were linked with the clinical outcome derived from the auditory hallucinations subscale (AHS) of the Psychotic Symptom Rating Scale (PSYRATS), the Quality of Life Scale (QoLS), and the Depression, Anxiety and Stress Scale (DASS). The general results show a variability between subjects, independent of the group they belong to. The time domain showed a higher N1-P3 amplitude post-rTMS, the frequency domain a higher power spectral density (PSD) in the alpha and beta bands, and the connectivity analysis revealed a higher brain network integration (quantified using the participation coefficient) in the beta band. Despite the small number of subjects and the high variability of the results, this work shows a robust data analysis and an interplay between morphology, spectral, and connectivity data. The identification of a trend post-rTMS for each domain in our results is a first step toward the definition of quantitative neurophysiological parameters to assess rTMS treatment.https://www.frontiersin.org/articles/10.3389/fnins.2020.575538/fullhigh-density EEGTMS (repetitive transcranial magnetic stimulation)P300schizophreniaspectral analysistemporal analysis |
spellingShingle | Romain Aubonnet Ovidiu C. Banea Ovidiu C. Banea Roberta Sirica Eric M. Wassermann Sahar Yassine Deborah Jacob Brynja Björk Magnúsdóttir Brynja Björk Magnúsdóttir Magnús Haraldsson Sigurjon B. Stefansson Viktor D. Jónasson Eysteinn Ívarsson Aron D. Jónasson Mahmoud Hassan Mahmoud Hassan Paolo Gargiulo Paolo Gargiulo P300 Analysis Using High-Density EEG to Decipher Neural Response to rTMS in Patients With Schizophrenia and Auditory Verbal Hallucinations Frontiers in Neuroscience high-density EEG TMS (repetitive transcranial magnetic stimulation) P300 schizophrenia spectral analysis temporal analysis |
title | P300 Analysis Using High-Density EEG to Decipher Neural Response to rTMS in Patients With Schizophrenia and Auditory Verbal Hallucinations |
title_full | P300 Analysis Using High-Density EEG to Decipher Neural Response to rTMS in Patients With Schizophrenia and Auditory Verbal Hallucinations |
title_fullStr | P300 Analysis Using High-Density EEG to Decipher Neural Response to rTMS in Patients With Schizophrenia and Auditory Verbal Hallucinations |
title_full_unstemmed | P300 Analysis Using High-Density EEG to Decipher Neural Response to rTMS in Patients With Schizophrenia and Auditory Verbal Hallucinations |
title_short | P300 Analysis Using High-Density EEG to Decipher Neural Response to rTMS in Patients With Schizophrenia and Auditory Verbal Hallucinations |
title_sort | p300 analysis using high density eeg to decipher neural response to rtms in patients with schizophrenia and auditory verbal hallucinations |
topic | high-density EEG TMS (repetitive transcranial magnetic stimulation) P300 schizophrenia spectral analysis temporal analysis |
url | https://www.frontiersin.org/articles/10.3389/fnins.2020.575538/full |
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