Brain network study of thinking problems in schizophrenia, bipolar disorder and depression
Tests magnetic stimulation in adults with schizophrenia, bipolar disorder or depression.
Plain-language title generated from the registry record
Registry title: Brain Network Mechanisms of Cognitive Impairments in Major Psychiatric Disorders and Their Clinical Applications
Key facts
- Where
- Changsha, ChinaSee the site
Could this be for you?
Answer for yourself. This is not a decision: only the study team can say whether you can take part.
- Are you between 18 and 60 years old?
Source: NCT07444463, who can take part
Where in China
- Second Xiangya HospitalChangsha, ChinaNo longer taking part
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Central South University
- Trial code
- NCT07444463
- Record updated
- 4 March 2026
- Original description
Previous and our studies have shown that cognitive impairments are core symptoms of three major psychiatric disorders-schizophrenia, bipolar disorder, and major depressive disorder, and are associated with underlying brain dysfunction. However, the specific brain networks involved in cognitive impairments (cognitive impairment brain networks) in these disorders, as well as whether their neuroimaging features can be applied to cognitive assessment, diagnosis, and precision treatment, remain unclear. This study aims to identify cognitive impairment brain networks using publicly available large-scale datasets and clinical research, and to explore whether the neuroimaging features of these networks can be utilized for cognitive assessment, diagnosis, and treatment response prediction. First, a "sensitive cognitive assessment model for major psychiatric disorders" will be established through meta-analysis based on sensitive scales. Second, cognitive impairment brain networks will be identified using publicly available large-scale datasets combined with the lesion network mapping method, and their validity will be examined by assessing their non-randomness, reproducibility, symptom specificity, and disease specificity. Third, cognitive assessment and diagnostic models will be developed based on neuroimaging features of these networks. Finally, a combination of cross-sectional and longitudinal study designs will be used in a clinical trial to validate the identified networks and models, and a treatment response prediction model will be established based on the neuroimaging features of cognitive impairment brain networks. This study will advance the understanding of the neurophysiological mechanisms underlying cognitive impairment in major psychiatric disorders, promote the application of neuroimaging in psychiatric diagnosis and treatment, and improve traditional diagnostic, therapeutic, and cognitive assessment approaches.Read full original descriptionShow less
Study on the Brain Network Mechanisms of Cognitive Impairments in Major Psychiatric Disorders and Their Application in Cognitive Assessment, Diagnosis, and Precision Treatment
Previous and our studies have shown that cognitive impairments are core symptoms of three major psychiatric disorders-schizophrenia, bipolar disorder, and major depressive disorder, and are associated with underlying brain dysfunction. However, the specific brain networks involved in cognitive impairments (cognitive impairment brain networks) in these disorders, as well as whether their neuroimaging features can be applied to cognitive assessment, diagnosis, and precision treatment, remain unclear. This study aims to identify cognitive impairment brain networks using publicly available large-scale datasets and clinical research, and to explore whether the neuroimaging features of these networks can be utilized for cognitive assessment, diagnosis, and treatment response prediction. First, a "sensitive cognitive assessment model for major psychiatric disorders" will be established through meta-analysis based on sensitive scales. Second, cognitive impairment brain networks will be identified using publicly available large-scale datasets combined with the lesion network mapping method, and their validity will be examined by assessing their non-randomness, reproducibility, symptom specificity, and disease specificity. Third, cognitive assessment and diagnostic models will be developed based on neuroimaging features of these networks. Finally, a combination of cross-sectional and longitudinal study designs will be used in a clinical trial to validate the identified networks and models, and a treatment response prediction model will be established based on the neuroimaging features of cognitive impairment brain networks. This study will advance the understanding of the neurophysiological mechanisms underlying cognitive impairment in major psychiatric disorders, promote the application of neuroimaging in psychiatric diagnosis and treatment, and improve traditional diagnostic, therapeutic, and cognitive assessment approaches.
Inclusion: 1, For Patients (SZ, BD, MDD):; Diagnosis of schizophrenia (SZ), bipolar disorder (BD), or major depressive disorder (MDD) according to standard diagnostic criteria; First-episode drug-naïve patients or patients who have relapsed after discontinuing medication for more than one month; Aged 18-60 years; Completion of at least 6 years of formal education; 2, For Healthy Controls:; Aged 18-60 years; Completion of at least 6 years of formal education; No current or past psychiatric disorders; No first-degree relatives with psychiatric disorders; No history of treatment with psychotropic medications or physical therapy for psychiatric disorders.
Exclusion: Prior use of psychotropic medications or receipt of physical treatment for psychiatric disorders (for patient group); Contraindications to MRI scanning; History of brain injury; History of substance abuse; Presence of other neurological disorders; Presence of severe medical or systemic physical illnesses.