Using the excitation/inhibition ratio to optimize the classification of autism and schizophrenia.
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| Title: | Using the excitation/inhibition ratio to optimize the classification of autism and schizophrenia. |
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| Authors: | Uscătescu LC; Olin Neuropsychiatry Research Center, Institute of Living, Hartford, CT, USA. lavinia.carmen.u@gmail.com., Hyatt CJ; Olin Neuropsychiatry Research Center, Institute of Living, Hartford, CT, USA., Dunn J; Interpretable AI, Cambridge, MA, USA., Kronbichler M; Centre for Cognitive Neuroscience & Department of Psychology, Paris-Lodron University of Salzburg, Salzburg, Austria.; Neuroscience Institute, Christian-Doppler Medical University Hospital, Paracelsus Medical University, Salzburg, Austria., Calhoun V; Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA., Corbera S; Central Connecticut State University, Department of Psychological Science, New Britain, CT, USA., Pelphrey K; University of Virginia, Department of Neurology, Charlottesville, VA, USA., Pittman B; Yale University, School of Medicine, Department of Psychiatry, New Haven, CT, USA., Pearlson G; Olin Neuropsychiatry Research Center, Institute of Living, Hartford, CT, USA.; Yale University, School of Medicine, Department of Psychiatry, New Haven, CT, USA., Assaf M; Olin Neuropsychiatry Research Center, Institute of Living, Hartford, CT, USA.; Yale University, School of Medicine, Department of Psychiatry, New Haven, CT, USA. |
| Source: | Translational psychiatry [Transl Psychiatry] 2025 Jul 09; Vol. 15 (1), pp. 234. Date of Electronic Publication: 2025 Jul 09. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Pub. Group Country of Publication: United States NLM ID: 101562664 Publication Model: Electronic Cited Medium: Internet ISSN: 2158-3188 (Electronic) Linking ISSN: 21583188 NLM ISO Abbreviation: Transl Psychiatry Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2158-3188 |
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| DOI: | 10.1038/s41398-025-03455-8 |
