Cortical brain entropy architecture reveals multidimensional structure of schizophrenia.

Overview

Authors: Qiang Li¹, Vince D. Calhoun^1,2,3,4,5,6

Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
Neuroscience Institute, Georgia State University, Atlanta, GA, USA
Psychology Department, Georgia State University, Atlanta, GA, USA
Department of Computer Science, Georgia State University, Atlanta, GA, USA
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA
Departments of Neurology and Pediatrics, Emory University, Atlanta, GA, USA

Institutions: Georgia Institute of Technology (United States); Emory University (United States); Georgia State University (United States); Center for Translational Research in Neuroimaging and Data Science (United States)

Journal: Biophysical reports, volume 6, issue 3, article 100276

Dates: received 23 April 2026; accepted 24 June 2026; published online 30 June 2026; in print September 2026

Type: Brief report · Language: English

License: CC BY-NC-ND

Identifiers: DOI 10.1016/j.bpr.2026.100276 · PMID 42379269 · PMCID PMC13380793 · OpenAlex W7166652810

Open access: gold, a free copy (OpenAlex)

Status: code on request

Categories: human (organism), schizophrenia / psychosis (population)

Methods: Spectral & time-frequency, Connectivity, Statistics, Complexity, fMRI & imaging

MeSH: Cerebral Cortex*, Entropy*, Schizophrenia*, Humans, Magnetic Resonance Imaging (* major topic)

Topic: Functional Brain Connectivity Studies (Cognitive Neuroscience, Neuroscience), according to OpenAlex

Funding: National Science Foundation (2112455); NIH (R01MH123610, R01MH119251)

Citations: not cited yet (Europe PMC); 22 references in the paper

Abstract

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Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 2 authors, 5 MeSH terms, 2 funders, 20 references.

Cite

This paper

Li, Q., & Calhoun, V. D. (2026). Cortical brain entropy architecture reveals multidimensional structure of schizophrenia. Biophysical reports, 6(3), 100276. https://doi.org/10.1016/j.bpr.2026.100276

BibTeX

@article{li2026cortical, author = {Li, Qiang and Calhoun, Vince D.}, title = {{Cortical brain entropy architecture reveals multidimensional structure of schizophrenia}}, journal = {Biophysical reports}, year = {2026}, month = jun, volume = {6}, number = {3}, pages = {100276}, publisher = {Elsevier}, issn = {2667-0747}, doi = {10.1016/j.bpr.2026.100276}, url = {https://doi.org/10.1016/j.bpr.2026.100276}, pmid = {42379269}, pmcid = {PMC13380793} }

RIS

TY - JOUR AU - Li, Qiang AU - Calhoun, Vince D. TI - Cortical brain entropy architecture reveals multidimensional structure of schizophrenia T2 - Biophysical reports J2 - Biophys Rep (N Y) PY - 2026 DA - 2026/06/30 VL - 6 IS - 3 SP - 100276 SN - 2667-0747 PB - Elsevier DO - 10.1016/j.bpr.2026.100276 UR - https://doi.org/10.1016/j.bpr.2026.100276 LA - en ER -

CSL-JSON

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