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 ...
The zona incerta (ZI) is a deep brain region originally described by Auguste Forel as an “immensely confusing area about which nothing can be said.” Despite the elusive nature of this structure, ...
Two new PET radiotracers have outperformed the only currently Food and Drug Administration (FDA) approved radiotracer for ...
Find out how researchers are using MRI and artificial intelligence to detect cancer cells in the brain with impressive ...
The imaging artificial intelligence developer Quibim has raised $50 million in venture capital funding, to support its work ...
Heavy weed use appears to dull the brains of young adults, particularly affecting their short-term working memory, a new ...
An imaging test helps health care providers better understand what may be wrong with you so they can make treatment decisions or rule out certain health problems. There are many different types ...
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Medical scans are now as easy as a stop on the drive through north Kalispell with the addition of an imaging center located ...
GE HealthCare is researching imaging tech for improved diagnosis and treatment of patients with cancer and neurodegenerative ...
The latest episode “Made in the USA” podcast explores a company that uses collaborative robots, one of the key tools helping US machine shops and other manufacturers compete with lower cost countries ...
Mild traumatic brain injury often leads to visual dysfunctions, even in patients who do not report vision problems.