2025/03/18 by Przemysław Adamczyk, Wiktor Więcławski, Maja Wójcik +6 · 1 citation
Engineering · Neuroscience · #Advanced Memory and Neural Computing #Functional Brain Connectivity Studies #Neural dynamics and brain function
paper · doi:10.1016/j.pscychresns.2025.111985
openalex publication_date 2025/03/18 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/23
• Alteration in the direction of information flows at rest in schizophrenia patients. • Multiband disturbances were found within DMN, CEN, and SN. • The most expressed is a global multiband DMN hyperconnectivity. • This is accompanied by low-band hyper- and high-band hypoconnectivity in CEN. • Reversed direction of information flows in SN at theta/beta bands was also found. • Abnormal effective connectivity may be a promising biomarker of schizophrenia. Schizophrenia is a psychiatric disorder with heterogeneous clinical manifestations and complex aetiology. Notably, the triple-network model proposes an interesting framework for investigating abnormal neurocircuit activity at rest in schizophrenia. The present study on 30 chronic schizophrenia individuals and 30 controls aimed to explore the differences in EEG resting state effective connectivity within a triple-network model using source-localization-based Directed Transfer Function. Our findings revealed multiband effective connectivity disturbances within default mode (DMN), central executive (CEN), and salience (SN) networks in schizophrenia. The most significant difference was manifested in a global DMN hyperconnectivity, accompanied by low-band hyperconnectivity and high-band hypoconnectivity in CEN, along with the aberrant information flows in SN. In conclusion, our study presents novel insights into schizophrenia neuropathology, with a particular emphasis on the reversed directionality in information flows between hubs of SN, DMN, and CEN. This may be suggested as a promising biomarker of schizophrenia.