Spielberg Jeffrey M, Beall Erik B, Hulvershorn Leslie A, Altinay Murat, Karne Harish, Anand Amit
Department of Psychological and Brain Sciences, University of Delaware, Newark, DE, USA.
Neuroimaging Research for Veterans Center, VA Boston Healthcare System, Boston, MA, USA.
Neuropsychopharmacology. 2016 Dec;41(13):3016-3024. doi: 10.1038/npp.2016.112. Epub 2016 Jun 30.
Research on resting functional brain networks in bipolar disorder (BP) has been unable to differentiate between disturbances related to mania or depression, which is necessary to understand the mechanisms leading to each state. Past research has also been unable to elucidate the impact of BP-related network disturbances on the organizational properties of the brain (eg, communication efficiency). Thus, the present work sought to isolate network disturbances related to BP, fractionate these into components associated with manic and depressive symptoms, and characterize the impact of disturbances on network function. Graph theory was used to analyze resting functional magnetic resonance imaging data from 60 medication-free patients meeting the criteria for BP and either a current hypomanic (n=30) or depressed (n=30) episode and 30 closely age/sex-matched healthy controls. Correction for multiple comparisons was carried out. Compared with controls, BP patients evidenced hyperconnectivity in a network involving right amygdala. Fractionation revealed that (hypo)manic symptoms were associated with hyperconnectivity in an overlapping network and disruptions in the brain's 'small-world' network organization. Depressive symptoms predicted hyperconnectivity in a network involving orbitofrontal cortex along with a less resilient global network organization. Findings provide deeper insight into the differential pathophysiological processes associated with hypomania and depression, along with the particular impact these differential processes have on network function.
双相情感障碍(BP)静息态功能脑网络的研究未能区分与躁狂或抑郁相关的紊乱,而这对于理解导致每种状态的机制是必要的。过去的研究也未能阐明BP相关网络紊乱对大脑组织特性(如通信效率)的影响。因此,本研究旨在分离与BP相关的网络紊乱,将其分为与躁狂和抑郁症状相关的成分,并描述紊乱对网络功能的影响。采用图论分析了60例符合BP标准且目前处于轻躁狂发作(n=30)或抑郁发作(n=30)的未服药患者以及30名年龄/性别匹配的健康对照的静息态功能磁共振成像数据。进行了多重比较校正。与对照组相比,BP患者在涉及右侧杏仁核的网络中表现出超连接性。分类分析显示,(轻)躁狂症状与重叠网络中的超连接性以及大脑“小世界”网络组织的破坏有关。抑郁症状预示着涉及眶额皮质的网络中的超连接性以及全局网络组织弹性降低。研究结果为与轻躁狂和抑郁相关的不同病理生理过程,以及这些不同过程对网络功能的特定影响提供了更深入的见解。