Neuroimaging as a potential biomarker to optimize psychiatric research and treatment.

Esther Walton, Jessica A Turner, Stefan Ehrlich
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引用次数: 12

Abstract

Complex, polygenic phenotypes in psychiatry hamper our understanding of the underlying molecular pathways and mechanisms of many diseases. The unknown aetiology, together with symptoms which often show a large variability both across individuals and over time and also tend to respond comparatively slowly to medication, can be a problem for patient treatment and drug development. We argue that neuroimaging has the potential to improve psychiatric treatment in two ways. First, by reducing phenotypic complexity, neuroimaging intermediate phenotypes can help to identify disease-related genes and can shed light into the biological mechanisms of known risk genes. Second, quantitative neuroimaging markers - reflecting the spectrum of impairment on a brain-based level - can be used as a more sensitive, reliable and immediate treatment response biomarker. In the end, enhancing both our understanding of the pathophysiology of psychiatric disorders and the prediction of treatment success could eventually optimise current therapy plans.

神经影像学作为优化精神病学研究和治疗的潜在生物标志物。
精神病学中复杂的多基因表型阻碍了我们对许多疾病的潜在分子途径和机制的理解。未知的病因,加上症状往往在个体和时间上表现出很大的差异,而且往往对药物的反应相对较慢,可能成为患者治疗和药物开发的一个问题。我们认为,神经成像有潜力在两个方面改善精神病治疗。首先,通过降低表型复杂性,神经成像中间表型可以帮助识别疾病相关基因,并可以揭示已知风险基因的生物学机制。其次,定量神经成像标记-反映了基于大脑水平的损伤谱-可以作为更敏感,可靠和即时的治疗反应生物标志物。最后,增强我们对精神疾病病理生理学的理解和对治疗成功的预测最终可以优化当前的治疗计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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