JOURNAL ARTICLE

Reports from Dalian University of Technology Describe Recent Advances in Schizophrenia (Detecting low-amplitude biomarker activations via decomposition of complex-valued fMRI data with collaborative phase and magnitude sparsity).

  • Published In: Mental Health Weekly Digest, 2025. P. 941 1 of 2

  • Database: Psychology Source 2 of 2

Abstract

The article discusses a study from Dalian, People's Republic of China, focusing on advancements in identifying biomarkers for schizophrenia through a novel method of analyzing complex-valued functional magnetic resonance imaging (fMRI) data. Researchers from Dalian University of Technology propose a sparse decomposition model that incorporates both phase and magnitude sparsity constraints to better detect low-amplitude brain activations associated with the disorder. This method aims to improve the accuracy of fMRI biomarker detection by retaining significant low-amplitude signals that previous techniques may overlook. The study concludes that this approach provides a new tool for estimating informative biomarkers related to mental disorders. [Extracted from the article]

Additional Information

  • Source:Mental Health Weekly Digest. 2025/10, p941
  • Document Type:Article
  • Subject Area:Chemistry
  • Publication Date:2025
  • ISSN:1543-6616
  • Accession Number:188416818
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