精神疾病中大脑异常的区域,电路和网络异质性
Ashlea Segal1,2, Linden Parkes3,4, Kevin Aquino5,6,7,8
1Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia. ashlea.segal@gmail.com.
Nature neuroscience
|August 14, 2023
概括
精神疾病显示出显著的个体差异,经常被小组研究遗漏. 这项研究表明,虽然特定的灰质体积偏差是独一无二的,但它们通常会影响共享的大脑电路,解释患者的差异和相似之处.
科学领域:
- 神经科学是一个神经科学.
- 精神病学是一个精神病学.
- 医疗成像医学成像
背景情况:
- 经典的病例控制研究往往忽视了精神疾病中的个体异质性.
- 群体平均值的比较无法捕捉患有精神障碍的个体的独特特征.
研究的目的:
- 综合描述灰色物质体积 (GMV) 在多种心理健康状况中的异质性差异.
- 研究个体特定的GMV偏差与功能性大脑电路和网络的关系.
主要方法:
- 利用规范模型对1294名患有6种心理健康状况的个人和1465名匹配的对照进行了区域GMV分析.
- 检查了GMV偏差的本地化及其在功能电路和网络中的嵌入.
主要成果:
- 个体特异的GMV偏差高度异化,影响相同诊断的大脑区域的个体不到7%.
- 在多达56%的案例中,在常见的功能电路和网络中发现了这些偏差.
- 突出 - 腹部注意系统显示跨诊断参与,而其他系统被选择性地涉及到特定疾病.
结论:
- 诊断中的表型差异可能源于GMV偏差的不同局部.
- 现型相似之处可能是由共享的功能电路和网络的功能障碍解释的.
- 这种多层次的方法提供了对精神疾病中大脑结构异质性的细微理解.
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