Brain Imaging and Cognitive Deficits in Psychiatric Disorders, 2nd Edition

A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Neurobiology and Clinical Neuroscience".

Deadline for manuscript submissions: 31 August 2025 | Viewed by 624

Special Issue Editor


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Guest Editor
Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, China
Interests: neuroimaging; schizophrenia; major depressive disorder; anxiety disorders; obsessive-compulsive disorder; somatization disorder
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Special Issue Information

Dear Colleagues,

Cognitive deficits exist in psychiatric disorders, such as schizophrenia, major depressive disorder, and bipolar disorder; however, the brain structural and functional dysconnectivity underlying cognitive deficits remains unclear.

The goal of this Special Issue is to focus on the roles of brain connectivity and the neuropathological mechanisms underlying cognitive deficits as well as clinical symptoms in psychiatric disorders. We aim to collect articles that report on high-quality research, from basic benchwork to neuroimaging and clinical trials. We will also address important conceptual and methodological questions.

We welcome original research and reviews related to this topic. The articles are encouraged to cover the following research areas (but are not limited to them):

  • Structure and function of brain connectivity in psychiatric disorders.
  • Cognitive deficits and clinical symptoms associated with brain connectivity in psychiatric disorders.
  • Genetic and molecular bases of brain connectivity in schizophrenia, especially those relevant to cognitive functioning in psychiatric disorders.
  • Effects of pharmacological treatment on cognition and brain connectivity in psychiatric disorders.
  • Furthermore, we welcome related reviews of existing publications and perspectives.

Prof. Dr. Wenbin Guo
Guest Editor

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Keywords

  • cognitive deficits
  • psychiatric disorders
  • schizophrenia
  • brain imaging

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Published Papers (1 paper)

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Research

13 pages, 2040 KiB  
Article
Electroencephalography Alpha Traveling Waves as Early Predictors of Treatment Response in Major Depressive Episodes: Insights from Intermittent Photic Stimulation
by Xiaojing Guo, Haifeng Zhang, Biyu Zeng, Aoling Cai, Junjie Zheng, Jingshuai Zhou, Yongquan Gu, Minya Wu, Guanhui Wu, Li Zhang and Fei Wang
Biomedicines 2025, 13(4), 1001; https://doi.org/10.3390/biomedicines13041001 - 21 Apr 2025
Viewed by 269
Abstract
Background: Early evaluation of treatment efficacy in adolescents and young adults with major depressive episodes (MDEs) remains a clinical challenge, often delaying timely therapeutic adjustments. Electroencephalography (EEG) alpha traveling waves, particularly those elicited by intermittent photic stimulation (IPS), may serve as biomarkers reflecting [...] Read more.
Background: Early evaluation of treatment efficacy in adolescents and young adults with major depressive episodes (MDEs) remains a clinical challenge, often delaying timely therapeutic adjustments. Electroencephalography (EEG) alpha traveling waves, particularly those elicited by intermittent photic stimulation (IPS), may serve as biomarkers reflecting neural dynamics. This study aimed to investigate whether IPS-induced alpha traveling waves could predict early treatment outcomes in transitional-aged youth with MDEs. Methods: We recorded EEG signals from 119 patients aged 16–24 years at admission, prior to a standardized two-week treatment regimen. IPS was applied using multiple stimulus frequencies, and alpha traveling waves were analyzed in terms of directionality (forward vs. backward) and hemispheric lateralization. Results: Alpha traveling wave amplitudes varied across individuals, depending on stimulus frequency and hemisphere. Notably, a higher amplitude of backward alpha traveling waves at 10 Hz IPS in the left hemisphere significantly predicted positive early treatment response. In contrast, forward waves and right hemisphere responses did not show predictive value. Conclusions: IPS-induced backward alpha traveling waves in the left hemisphere may represent promising EEG biomarkers for early prediction of treatment efficacy in youth with MDEs. These findings offer a potential neurophysiological tool to support personalized treatment strategies and inform future clinical applications in adolescent and young adult depression. Full article
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