TY - JOUR
T1 - Language-Related Neurophysiological Deficits in Schizophrenia
AU - Hirano, Shogo
AU - Spencer, Kevin M.
AU - Onitsuka, Toshiaki
AU - Hirano, Yoji
N1 - Funding Information:
Hirano Shogo 1 2 https://orcid.org/0000-0002-5500-7627 Spencer Kevin M. 2 Onitsuka Toshiaki 1 https://orcid.org/0000-0001-6847-9677 Hirano Yoji 1 2 1 Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Higashiku, Fukuoka, Japan 2 Neural Dynamics Laboratory, Research Service, VA Boston Healthcare System, and Department of Psychiatry, Harvard Medical School, Boston, MA, USA Yoji Hirano, Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan. Email: yhouji@mac.com 11 2019 1550059419886686 31 1 2019 2 9 2019 11 10 2019 © EEG and Clinical Neuroscience Society (ECNS) 2019 2019 EEG and Clinical Neuroscience Society Schizophrenia is a severe psychiatric disorder that affects all aspects of one’s life with several cognitive and social dysfunctions. However, there is still no objective and universal index for diagnosis and treatment of this disease. Many researchers have studied language processing in schizophrenia since most of the patients show symptoms related to language processing, such as thought disorder, auditory verbal hallucinations, or delusions. Electroencephalography (EEG) and magnetoencephalography (MEG) with millisecond order high temporal resolution, have been applied to reveal the abnormalities in language processing in schizophrenia. The aims of this review are ( a ) to provide an overview of recent findings in language processing in schizophrenia with EEG and MEG using neurophysiological indices, providing insights into underlying language related pathophysiological deficits in this disease and ( b ) to emphasize the advantage of EEG and MEG in research on language processing in schizophrenia. schizophrenia language processing electroencephalography (EEG) magnetoencephalography (MEG) neural oscillation edited-state corrected-proof The authors wish to acknowledge Dr Robert W. McCarley (known to all as “Bob”) for being a great mentor to us. We would like to mention that the theme of this review was inspired by our relationship with Bob. He was a dedicated scientist, a man of passion, an excellent mentor, and a beloved friend to all of us. Bob was a true leader who brought many scientists together with full passion from around the world. He always made everyone feel welcome and important. Though we sorely miss him, his passion for basic and clinical research will be handed down and expanded by many scientists who were profoundly influenced by him. He will be always in our heart and soul. Author Contributions SH: contributed to conception; contributed to analysis and interpretation; drafted manuscript; gave final approval; agrees to be accountable for all aspects of work ensuring integrity and accuracy. TO: contributed to design; contributed to interpretation; drafted manuscript; gave final approval; agrees to be accountable for all aspects of work ensuring integrity and accuracy. KMS: contributed to design; contributed to interpretation; drafted manuscript; gave final approval; agrees to be accountable for all aspects of work ensuring integrity and accuracy. YH: contributed to conception and design; contributed to acquisition, analysis, and interpretation; drafted manuscript; critically revised manuscript; gave final approval; agrees to be accountable for all aspects of work ensuring integrity and accuracy. Declaration of Conflicting Interests The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. Funding The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported in part by, the Fund for Pharmacopsychiatry Research from the Senshin Medical Research Foundation (SH and YH); Fund for Takeda Science Foundation (SH and YH); grants 25861016 (SH), 18K07602 (SH), 22791129 (YH), 15K09836 (YH), 18K07604 (YH) and 16K10217 (TO) from Japan Society for the Promotion of Science; and I01 CX001443 (US Department of Veterans Affairs) and a Brain and Behavior Research Foundation Independent Investigator Award to KMS. ORCID iDs Kevin M. Spencer https://orcid.org/0000-0002-5500-7627 Yoji Hirano https://orcid.org/0000-0001-6847-9677
Publisher Copyright:
© EEG and Clinical Neuroscience Society (ECNS) 2019.
PY - 2020/7/1
Y1 - 2020/7/1
N2 - Schizophrenia is a severe psychiatric disorder that affects all aspects of one’s life with several cognitive and social dysfunctions. However, there is still no objective and universal index for diagnosis and treatment of this disease. Many researchers have studied language processing in schizophrenia since most of the patients show symptoms related to language processing, such as thought disorder, auditory verbal hallucinations, or delusions. Electroencephalography (EEG) and magnetoencephalography (MEG) with millisecond order high temporal resolution, have been applied to reveal the abnormalities in language processing in schizophrenia. The aims of this review are (a) to provide an overview of recent findings in language processing in schizophrenia with EEG and MEG using neurophysiological indices, providing insights into underlying language related pathophysiological deficits in this disease and (b) to emphasize the advantage of EEG and MEG in research on language processing in schizophrenia.
AB - Schizophrenia is a severe psychiatric disorder that affects all aspects of one’s life with several cognitive and social dysfunctions. However, there is still no objective and universal index for diagnosis and treatment of this disease. Many researchers have studied language processing in schizophrenia since most of the patients show symptoms related to language processing, such as thought disorder, auditory verbal hallucinations, or delusions. Electroencephalography (EEG) and magnetoencephalography (MEG) with millisecond order high temporal resolution, have been applied to reveal the abnormalities in language processing in schizophrenia. The aims of this review are (a) to provide an overview of recent findings in language processing in schizophrenia with EEG and MEG using neurophysiological indices, providing insights into underlying language related pathophysiological deficits in this disease and (b) to emphasize the advantage of EEG and MEG in research on language processing in schizophrenia.
UR - http://www.scopus.com/inward/record.url?scp=85075418693&partnerID=8YFLogxK
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U2 - 10.1177/1550059419886686
DO - 10.1177/1550059419886686
M3 - Article
C2 - 31741393
AN - SCOPUS:85075418693
SN - 1550-0594
VL - 51
SP - 222
EP - 233
JO - Clinical EEG and Neuroscience
JF - Clinical EEG and Neuroscience
IS - 4
ER -