Cargando…
Near-Infrared Spectroscopy in Schizophrenia: A Possible Biomarker for Predicting Clinical Outcome and Treatment Response
Functional near-infrared spectroscopy (fNIRS) is a relatively new technique that can measure hemoglobin changes in brain tissues, and its use in psychiatry has been progressing rapidly. Although it has several disadvantages (e.g., relatively low spatial resolution and the possibility of shallow cove...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3827961/ https://www.ncbi.nlm.nih.gov/pubmed/24294205 http://dx.doi.org/10.3389/fpsyt.2013.00145 |
_version_ | 1782291169559969792 |
---|---|
author | Koike, Shinsuke Nishimura, Yukika Takizawa, Ryu Yahata, Noriaki Kasai, Kiyoto |
author_facet | Koike, Shinsuke Nishimura, Yukika Takizawa, Ryu Yahata, Noriaki Kasai, Kiyoto |
author_sort | Koike, Shinsuke |
collection | PubMed |
description | Functional near-infrared spectroscopy (fNIRS) is a relatively new technique that can measure hemoglobin changes in brain tissues, and its use in psychiatry has been progressing rapidly. Although it has several disadvantages (e.g., relatively low spatial resolution and the possibility of shallow coverage in the depth of brain regions) compared with other functional neuroimaging techniques (e.g., functional magnetic resonance imaging and positron emission tomography), fNIRS may be a candidate instrument for clinical use in psychiatry, as it can measure brain activity in naturalistic position easily and non-invasively. fNIRS instruments are also small and work silently, and can be moved almost everywhere including schools and care units. Previous fNIRS studies have shown that patients with schizophrenia have impaired activity and characteristic waveform patterns in the prefrontal cortex during the letter version of the verbal fluency task, and part of these results have been approved as one of the Advanced Medical Technologies as an aid for the differential diagnosis of depressive symptoms by the Ministry of Health, Labor and Welfare of Japan in 2009, which was the first such approval in the field of psychiatry. Moreover, previous studies suggest that the activity in the frontopolar prefrontal cortex is associated with their functions in chronic schizophrenia and is its next candidate biomarker. Future studies aimed at exploring fNIRS differences in various clinical stages, longitudinal changes, drug effects, and variations during different task paradigms will be needed to develop more accurate biomarkers that can be used to aid differential diagnosis, the comprehension of the present condition, the prediction of outcome, and the decision regarding treatment options in schizophrenia. Future fNIRS researches will require standardized measurement procedures, probe settings, analytical methods and tools, manuscript description, and database systems in an fNIRS community. |
format | Online Article Text |
id | pubmed-3827961 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-38279612013-11-29 Near-Infrared Spectroscopy in Schizophrenia: A Possible Biomarker for Predicting Clinical Outcome and Treatment Response Koike, Shinsuke Nishimura, Yukika Takizawa, Ryu Yahata, Noriaki Kasai, Kiyoto Front Psychiatry Psychiatry Functional near-infrared spectroscopy (fNIRS) is a relatively new technique that can measure hemoglobin changes in brain tissues, and its use in psychiatry has been progressing rapidly. Although it has several disadvantages (e.g., relatively low spatial resolution and the possibility of shallow coverage in the depth of brain regions) compared with other functional neuroimaging techniques (e.g., functional magnetic resonance imaging and positron emission tomography), fNIRS may be a candidate instrument for clinical use in psychiatry, as it can measure brain activity in naturalistic position easily and non-invasively. fNIRS instruments are also small and work silently, and can be moved almost everywhere including schools and care units. Previous fNIRS studies have shown that patients with schizophrenia have impaired activity and characteristic waveform patterns in the prefrontal cortex during the letter version of the verbal fluency task, and part of these results have been approved as one of the Advanced Medical Technologies as an aid for the differential diagnosis of depressive symptoms by the Ministry of Health, Labor and Welfare of Japan in 2009, which was the first such approval in the field of psychiatry. Moreover, previous studies suggest that the activity in the frontopolar prefrontal cortex is associated with their functions in chronic schizophrenia and is its next candidate biomarker. Future studies aimed at exploring fNIRS differences in various clinical stages, longitudinal changes, drug effects, and variations during different task paradigms will be needed to develop more accurate biomarkers that can be used to aid differential diagnosis, the comprehension of the present condition, the prediction of outcome, and the decision regarding treatment options in schizophrenia. Future fNIRS researches will require standardized measurement procedures, probe settings, analytical methods and tools, manuscript description, and database systems in an fNIRS community. Frontiers Media S.A. 2013-11-14 /pmc/articles/PMC3827961/ /pubmed/24294205 http://dx.doi.org/10.3389/fpsyt.2013.00145 Text en Copyright © 2013 Koike, Nishimura, Takizawa, Yahata and Kasai. http://creativecommons.org/licenses/by/3.0/ 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) or licensor 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. |
spellingShingle | Psychiatry Koike, Shinsuke Nishimura, Yukika Takizawa, Ryu Yahata, Noriaki Kasai, Kiyoto Near-Infrared Spectroscopy in Schizophrenia: A Possible Biomarker for Predicting Clinical Outcome and Treatment Response |
title | Near-Infrared Spectroscopy in Schizophrenia: A Possible Biomarker for Predicting Clinical Outcome and Treatment Response |
title_full | Near-Infrared Spectroscopy in Schizophrenia: A Possible Biomarker for Predicting Clinical Outcome and Treatment Response |
title_fullStr | Near-Infrared Spectroscopy in Schizophrenia: A Possible Biomarker for Predicting Clinical Outcome and Treatment Response |
title_full_unstemmed | Near-Infrared Spectroscopy in Schizophrenia: A Possible Biomarker for Predicting Clinical Outcome and Treatment Response |
title_short | Near-Infrared Spectroscopy in Schizophrenia: A Possible Biomarker for Predicting Clinical Outcome and Treatment Response |
title_sort | near-infrared spectroscopy in schizophrenia: a possible biomarker for predicting clinical outcome and treatment response |
topic | Psychiatry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3827961/ https://www.ncbi.nlm.nih.gov/pubmed/24294205 http://dx.doi.org/10.3389/fpsyt.2013.00145 |
work_keys_str_mv | AT koikeshinsuke nearinfraredspectroscopyinschizophreniaapossiblebiomarkerforpredictingclinicaloutcomeandtreatmentresponse AT nishimurayukika nearinfraredspectroscopyinschizophreniaapossiblebiomarkerforpredictingclinicaloutcomeandtreatmentresponse AT takizawaryu nearinfraredspectroscopyinschizophreniaapossiblebiomarkerforpredictingclinicaloutcomeandtreatmentresponse AT yahatanoriaki nearinfraredspectroscopyinschizophreniaapossiblebiomarkerforpredictingclinicaloutcomeandtreatmentresponse AT kasaikiyoto nearinfraredspectroscopyinschizophreniaapossiblebiomarkerforpredictingclinicaloutcomeandtreatmentresponse |