Exploring neuroimaging-genetic co-alteration features of auditory verbal hallucinations in different subjects for the establishment of a predictive model
[...]a means to facilitate early, precise diagnosis and treatment is urgently needed. According to EEG-based studies, healthy individuals with AHVs are more likely to perform abnormal self-generated vocalization. Findings of such research support the use of pattern recognition to establish a predict...
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Summary: | [...]a means to facilitate early, precise diagnosis and treatment is urgently needed. According to EEG-based studies, healthy individuals with AHVs are more likely to perform abnormal self-generated vocalization. Findings of such research support the use of pattern recognition to establish a predictive model for AVH development in individuals with different mental disorders. [...]several important discoveries have been made in AVH-related research in the past 2 years. See PDF] The second novel aspect of the proposed pathway is the performance of a large cohort study with a 2-year follow-up period from the first AVH episode, involving the combined use of machine learning, genomic, and brain connectome methods, as well as consideration of subjects’ sociodemographic characteristics and treatment outcomes, to establish a model for early diagnosis and treatment outcome prediction in different subject groups. |
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Bibliography: | SourceType-Scholarly Journals-1 ObjectType-Correspondence-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0366-6999 2542-5641 2542-5641 |
DOI: | 10.1097/CM9.0000000000000385 |