Department of Psychiatry,University of Münster,Münster,Germany.
Department of Clinical Radiology,University of Münster,Münster,Germany.
Psychol Med. 2016 Jan;46(2):277-90. doi: 10.1017/S0033291715001683. Epub 2015 Sep 10.
Neuroimaging traits of either familial or environmental risk for major depressive disorder (MDD) have been interpreted as possibly useful vulnerability markers. However, the simultaneous occurrence of familial and environmental risk might prove to be a major obstacle in the attempt of recent studies to confine the precise impact of each of these conditions on brain structure. Moreover, the exclusive use of group-level analyses does not permit prediction of individual illness risk which would be the basic requirement for the clinical application of imaging vulnerability markers. Hence, we aimed to distinguish between brain structural characteristics of familial predisposition and environmental stress by using both group- and individual-level analyses.
We investigated grey matter alterations between 20 healthy control subjects (HC) and 20 MDD patients; 16 healthy first-degree relatives of MDD patients (FH+) and 20 healthy subjects exposed to former childhood maltreatment (CM+) by using a combined VBM/pattern recognition approach.
We found similar grey matter reductions in the insula and the orbitofrontal cortex in patients and FH+ subjects and in the hippocampus in patients and CM+ subjects. No direct overlap in grey matter alterations was found between FH+ and CM+ subjects. Pattern classification successfully detected subjects at risk for the disease even by strictly focusing on morphological traits of MDD.
Familial and environmental risk factors for MDD are associated with differing morphometric anomalies. Pattern recognition might be a promising instrument in the search for and future application of vulnerability markers for MDD.
家族性或环境性的重大抑郁障碍(MDD)风险的神经影像学特征可以被解释为可能有用的易损性标志物。然而,家族性和环境性风险的同时发生可能证明是最近研究试图限制这些条件中的每一种对大脑结构的精确影响的主要障碍。此外,仅使用组水平分析并不能预测个体患病风险,这将是影像学易损性标志物临床应用的基本要求。因此,我们旨在通过使用组水平和个体水平分析来区分家族易感性和环境应激的大脑结构特征。
我们使用基于体素的形态测量学(VBM)和模式识别方法,对 20 名健康对照组(HC)和 20 名 MDD 患者、16 名 MDD 患者的一级亲属(FH+)和 20 名暴露于儿童期虐待(CM+)的健康受试者进行了灰质改变的研究。
我们发现患者和 FH+受试者的岛叶和眶额皮质以及患者和 CM+受试者的海马体中存在相似的灰质减少。在 FH+和 CM+受试者之间没有发现灰质改变的直接重叠。即使严格关注 MDD 的形态特征,模式分类也成功地检测到患病风险的受试者。
MDD 的家族性和环境性风险因素与不同的形态异常有关。模式识别可能是寻找和未来应用 MDD 易损性标志物的有前途的工具。