Cargando…
Characterization of spatio-temporal epidural event-related potentials for mouse models of psychiatric disorders
Distinctive features in sensory event-related potentials (ERPs) are endophenotypic biomarkers of psychiatric disorders, widely studied using electroencephalographic (EEG) methods in humans and model animals. Despite the popularity and unique significance of the mouse as a model species in basic rese...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4602219/ https://www.ncbi.nlm.nih.gov/pubmed/26459883 http://dx.doi.org/10.1038/srep14964 |
_version_ | 1782394675633586176 |
---|---|
author | Wang, Xin Pinto-Duarte, António Margarita Behrens, M. Zhou, Xianjin Sejnowski, Terrence J. |
author_facet | Wang, Xin Pinto-Duarte, António Margarita Behrens, M. Zhou, Xianjin Sejnowski, Terrence J. |
author_sort | Wang, Xin |
collection | PubMed |
description | Distinctive features in sensory event-related potentials (ERPs) are endophenotypic biomarkers of psychiatric disorders, widely studied using electroencephalographic (EEG) methods in humans and model animals. Despite the popularity and unique significance of the mouse as a model species in basic research, existing EEG methods applicable to mice are far less powerful than those available for humans and large animals. We developed a new method for multi-channel epidural ERP characterization in behaving mice with high precision, reliability and convenience and report an application to time-domain ERP feature characterization of the Sp4 hypomorphic mouse model for schizophrenia. Compared to previous methods, our spatio-temporal ERP measurement robustly improved the resolving power of key signatures characteristic of the disease model. The high performance and low cost of this technique makes it suitable for high-throughput behavioral and pharmacological studies. |
format | Online Article Text |
id | pubmed-4602219 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-46022192015-10-23 Characterization of spatio-temporal epidural event-related potentials for mouse models of psychiatric disorders Wang, Xin Pinto-Duarte, António Margarita Behrens, M. Zhou, Xianjin Sejnowski, Terrence J. Sci Rep Article Distinctive features in sensory event-related potentials (ERPs) are endophenotypic biomarkers of psychiatric disorders, widely studied using electroencephalographic (EEG) methods in humans and model animals. Despite the popularity and unique significance of the mouse as a model species in basic research, existing EEG methods applicable to mice are far less powerful than those available for humans and large animals. We developed a new method for multi-channel epidural ERP characterization in behaving mice with high precision, reliability and convenience and report an application to time-domain ERP feature characterization of the Sp4 hypomorphic mouse model for schizophrenia. Compared to previous methods, our spatio-temporal ERP measurement robustly improved the resolving power of key signatures characteristic of the disease model. The high performance and low cost of this technique makes it suitable for high-throughput behavioral and pharmacological studies. Nature Publishing Group 2015-10-13 /pmc/articles/PMC4602219/ /pubmed/26459883 http://dx.doi.org/10.1038/srep14964 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Wang, Xin Pinto-Duarte, António Margarita Behrens, M. Zhou, Xianjin Sejnowski, Terrence J. Characterization of spatio-temporal epidural event-related potentials for mouse models of psychiatric disorders |
title | Characterization of spatio-temporal epidural event-related potentials for mouse models of psychiatric disorders |
title_full | Characterization of spatio-temporal epidural event-related potentials for mouse models of psychiatric disorders |
title_fullStr | Characterization of spatio-temporal epidural event-related potentials for mouse models of psychiatric disorders |
title_full_unstemmed | Characterization of spatio-temporal epidural event-related potentials for mouse models of psychiatric disorders |
title_short | Characterization of spatio-temporal epidural event-related potentials for mouse models of psychiatric disorders |
title_sort | characterization of spatio-temporal epidural event-related potentials for mouse models of psychiatric disorders |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4602219/ https://www.ncbi.nlm.nih.gov/pubmed/26459883 http://dx.doi.org/10.1038/srep14964 |
work_keys_str_mv | AT wangxin characterizationofspatiotemporalepiduraleventrelatedpotentialsformousemodelsofpsychiatricdisorders AT pintoduarteantonio characterizationofspatiotemporalepiduraleventrelatedpotentialsformousemodelsofpsychiatricdisorders AT margaritabehrensm characterizationofspatiotemporalepiduraleventrelatedpotentialsformousemodelsofpsychiatricdisorders AT zhouxianjin characterizationofspatiotemporalepiduraleventrelatedpotentialsformousemodelsofpsychiatricdisorders AT sejnowskiterrencej characterizationofspatiotemporalepiduraleventrelatedpotentialsformousemodelsofpsychiatricdisorders |