Using retinal electrophysiology toward precision psychiatry
Precision medicine in psychiatry is based on the identification of homogeneous subgroups of patients with the help of biosignatures—sets of biomarkers—in order to enhance diagnosis, stratification of patients, prognosis, evaluation, and prediction of treatment response. Within the broad domain of bi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Cambridge University Press
2022-01-01
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| Series: | European Psychiatry |
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| Online Access: | https://www.cambridge.org/core/product/identifier/S0924933822000037/type/journal_article |
| _version_ | 1827995007403950080 |
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| author | Thomas Schwitzer Marion Leboyer Vincent Laprévote Valérie Louis Dorr Raymund Schwan |
| author_facet | Thomas Schwitzer Marion Leboyer Vincent Laprévote Valérie Louis Dorr Raymund Schwan |
| author_sort | Thomas Schwitzer |
| collection | DOAJ |
| description | Precision medicine in psychiatry is based on the identification of homogeneous subgroups of patients with the help of biosignatures—sets of biomarkers—in order to enhance diagnosis, stratification of patients, prognosis, evaluation, and prediction of treatment response. Within the broad domain of biomarker discovery, we propose retinal electrophysiology as a tool for identification of biosignatures. The retina is a window to the brain and provides an indirect access to brain functioning in psychiatric disorders. The retina is organized in layers of specialized neurons which share similar functional properties with brain neurons. The functioning of these neurons can be evaluated by electrophysiological techniques named electroretinogram (ERG). Since the study of retinal functioning gives a unique opportunity to have an indirect access to brain neurons, retinal dysfunctions observed in psychiatric disorders inform on brain abnormalities. Up to now, retinal dysfunctions observed in psychiatric disorders provide indicators for diagnosis, identification of subgroups of patients, prognosis, evaluation, and prediction of treatment response. The use of signal processing and machine learning applied on ERG data enhances retinal markers extraction, thus providing robust, reproducible, and reliable retinal electrophysiological markers to identify biosignatures in precision psychiatry. We propose that retinal electrophysiology may be considered as a new approach in the domain of electrophysiology and could now be added to the routine evaluations in psychiatric disorders. Retinal electrophysiology may provide, in combination with other approaches and techniques, sets of biomarkers to produce biosignatures in mental health. |
| first_indexed | 2024-04-10T04:49:52Z |
| format | Article |
| id | doaj.art-dad4428b84ed4713ae9ba77e90e9a5e4 |
| institution | Directory Open Access Journal |
| issn | 0924-9338 1778-3585 |
| language | English |
| last_indexed | 2024-04-10T04:49:52Z |
| publishDate | 2022-01-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | European Psychiatry |
| spelling | doaj.art-dad4428b84ed4713ae9ba77e90e9a5e42023-03-09T12:33:56ZengCambridge University PressEuropean Psychiatry0924-93381778-35852022-01-016510.1192/j.eurpsy.2022.3Using retinal electrophysiology toward precision psychiatryThomas Schwitzer0Marion Leboyer1Vincent Laprévote2Valérie Louis Dorr3Raymund Schwan4https://orcid.org/0000-0002-1059-5584Pôle Hospitalo-Universitaire de Psychiatrie d’Adultes et d’Addictologie du Grand Nancy, Centre Psychothérapique de Nancy, Laxou, France IADI, INSERM U1254, Université de Lorraine, Nancy, France Faculté de Médecine, Université de Lorraine, Vandœuvre-lès-Nancy, France Fondation FondaMental, Créteil, FranceFondation FondaMental, Créteil, France Université Paris Est Creteil (UPEC), AP-HP, Hôpitaux Universitaires “H. Mondor”, DMU IMPACT, FHU ADAPT, INSERM U955, IMRB, Translational Neuropsychiatry laboratory, F-94010 Creteil, FrancePôle Hospitalo-Universitaire de Psychiatrie d’Adultes et d’Addictologie du Grand Nancy, Centre Psychothérapique de Nancy, Laxou, France Faculté de Médecine, Université de Lorraine, Vandœuvre-lès-Nancy, France INSERM U1114, Fédération de Médecine Translationnelle de Strasbourg, Département de Psychiatrie, Centre Hospitalier Régional Universitaire de Strasbourg, Strasbourg, FranceCRAN, Université de Lorraine, CNRS, Nancy, FrancePôle Hospitalo-Universitaire de Psychiatrie d’Adultes et d’Addictologie du Grand Nancy, Centre Psychothérapique de Nancy, Laxou, France IADI, INSERM U1254, Université de Lorraine, Nancy, France Faculté de Médecine, Université de Lorraine, Vandœuvre-lès-Nancy, France Fondation FondaMental, Créteil, FrancePrecision medicine in psychiatry is based on the identification of homogeneous subgroups of patients with the help of biosignatures—sets of biomarkers—in order to enhance diagnosis, stratification of patients, prognosis, evaluation, and prediction of treatment response. Within the broad domain of biomarker discovery, we propose retinal electrophysiology as a tool for identification of biosignatures. The retina is a window to the brain and provides an indirect access to brain functioning in psychiatric disorders. The retina is organized in layers of specialized neurons which share similar functional properties with brain neurons. The functioning of these neurons can be evaluated by electrophysiological techniques named electroretinogram (ERG). Since the study of retinal functioning gives a unique opportunity to have an indirect access to brain neurons, retinal dysfunctions observed in psychiatric disorders inform on brain abnormalities. Up to now, retinal dysfunctions observed in psychiatric disorders provide indicators for diagnosis, identification of subgroups of patients, prognosis, evaluation, and prediction of treatment response. The use of signal processing and machine learning applied on ERG data enhances retinal markers extraction, thus providing robust, reproducible, and reliable retinal electrophysiological markers to identify biosignatures in precision psychiatry. We propose that retinal electrophysiology may be considered as a new approach in the domain of electrophysiology and could now be added to the routine evaluations in psychiatric disorders. Retinal electrophysiology may provide, in combination with other approaches and techniques, sets of biomarkers to produce biosignatures in mental health.https://www.cambridge.org/core/product/identifier/S0924933822000037/type/journal_articleBiomarkerselectrophysiologyprecision medicineretina |
| spellingShingle | Thomas Schwitzer Marion Leboyer Vincent Laprévote Valérie Louis Dorr Raymund Schwan Using retinal electrophysiology toward precision psychiatry European Psychiatry Biomarkers electrophysiology precision medicine retina |
| title | Using retinal electrophysiology toward precision psychiatry |
| title_full | Using retinal electrophysiology toward precision psychiatry |
| title_fullStr | Using retinal electrophysiology toward precision psychiatry |
| title_full_unstemmed | Using retinal electrophysiology toward precision psychiatry |
| title_short | Using retinal electrophysiology toward precision psychiatry |
| title_sort | using retinal electrophysiology toward precision psychiatry |
| topic | Biomarkers electrophysiology precision medicine retina |
| url | https://www.cambridge.org/core/product/identifier/S0924933822000037/type/journal_article |
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