Jacobs R H, Barba A, Gowins J R, Klumpp H, Jenkins L M, Mickey B J, Ajilore O, Peciña M, Sikora M, Ryan K A, Hsu D T, Welsh R C, Zubieta J-K, Phan K L, Langenecker S A
Department of Psychiatry,University of Illinois at Chicago,Chicago,IL,USA.
Department of Psychiatry,University of Michigan,Ann Arbor,MI,USA.
Psychol Med. 2016 Apr;46(5):1055-67. doi: 10.1017/S0033291715002615. Epub 2016 Jan 20.
Recent meta-analyses of resting-state networks in major depressive disorder (MDD) implicate network disruptions underlying cognitive and affective features of illness. Heterogeneity of findings to date may stem from the relative lack of data parsing clinical features of MDD such as phase of illness and the burden of multiple episodes.
Resting-state functional magnetic resonance imaging data were collected from 17 active MDD and 34 remitted MDD patients, and 26 healthy controls (HCs) across two sites. Participants were medication-free and further subdivided into those with single v. multiple episodes to examine disease burden. Seed-based connectivity using the posterior cingulate cortex (PCC) seed to probe the default mode network as well as the amygdala and subgenual anterior cingulate cortex (sgACC) seeds to probe the salience network (SN) were conducted.
Young adults with remitted MDD demonstrated hyperconnectivity of the left PCC to the left inferior frontal gyrus and of the left sgACC to the right ventromedial prefrontal cortex (PFC) and left hippocampus compared with HCs. Episode-independent effects were observed between the left PCC and the right dorsolateral PFC, as well as between the left amygdala and right insula and caudate, whereas the burden of multiple episodes was associated with hypoconnectivity of the left PCC to multiple cognitive control regions as well as hypoconnectivity of the amygdala to large portions of the SN.
This is the first study of a homogeneous sample of unmedicated young adults with a history of adolescent-onset MDD illustrating brain-based episodic features of illness.
近期对重度抑郁症(MDD)静息态网络的荟萃分析表明,网络破坏是该疾病认知和情感特征的基础。迄今为止,研究结果的异质性可能源于相对缺乏对MDD临床特征(如疾病阶段和多发作负担)进行数据解析。
在两个地点收集了17名现患MDD患者、34名缓解期MDD患者和26名健康对照(HCs)的静息态功能磁共振成像数据。参与者未服用药物,并进一步细分为单发作和多发作患者以检查疾病负担。使用后扣带回皮质(PCC)种子进行基于种子的连接性分析,以探测默认模式网络,同时使用杏仁核和膝下前扣带回皮质(sgACC)种子进行基于种子的连接性分析,以探测突显网络(SN)。
与HCs相比,缓解期MDD的年轻成年人表现出左PCC与左下额回之间以及左sgACC与右腹内侧前额叶皮质(PFC)和左海马之间的超连接。在左PCC与右背外侧PFC之间以及左杏仁核与右岛叶和尾状核之间观察到与发作无关的效应,而多发作负担与左PCC与多个认知控制区域之间的低连接以及杏仁核与大部分SN之间的低连接有关。
这是第一项针对有青少年期起病MDD病史的未服药年轻成年人同质样本的研究,阐明了该疾病基于脑的发作性特征。