大脑结构变化与精神分裂症密切相关，灰质结构可能是抗精神病治疗效果的潜在指标。传统单变量分析虽已识别出精神分裂症患者的大脑结构异常，但难以应用于个体化治疗决策。机器学习在整合个体特征方面潜力巨大，已有研究利用其预测精神分裂症治疗反应，但多存在局限性，且综合利用灰质体积（GMV）、皮质厚度（Ct）和卷曲指数（GI）等指标的研究较少。此外，抗精神病药物治疗会使患者大脑发生变化，研究首发未用药精神分裂症患 ...

Remarkably, the Iseult MRI machine can acquire highly detailed anatomical images of the brain in just about four ... fall more under psychiatry, such as schizophrenia and bipolar disorders.

Ms Rudden was initially told she had schizophrenia after she began ... year of her life that a seizure led to an MRI scan which discovered a brain tumour, now thought to be the real cause of ...

Artificial intelligence models have been developed to enhance MRI brain imaging by improving image quality and accuracy. One model effectively removes non-brain tissue, aiding in accurate brain ...

This curiosity surrounding the complex mechanisms and relationships underpinning brain functionality has been the key force fuelling his work at the helm of magnetic resonance imaging (MRI ...

SINGAPORE - A fast, non-invasive form of brain stimulation to reduce persistent negative symptoms such as social withdrawal and lack of motivation in patients with schizophrenia is being tested at ...