Affect Regulation-Related Emergent Brain Network Properties Differentiate Depressed Bipolar Disorder From Major Depression and Track Risk for Bipolar Disorder.

Affect Regulation-Related Emergent Brain Network Properties Differentiate Depressed Bipolar Disorder From Major Depression and Track Risk for Bipolar Disorder.
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DOI:
10.1016/j.bpsc.2021.09.007
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发表时间:
2022-08
期刊:
Biological psychiatry. Cognitive neuroscience and neuroimaging
影响因子:
--
通讯作者:
Anand A
Anand A
中科院分区:
其他
文献类型:
--
作者:
Spielberg JM;Sadeh N;Cha J;Matyi MA;Anand A

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患有双相情感障碍(BD)/有双相情感障碍(BD)风险的个体通常最初用于治疗抑郁症状。不幸的是,药物治疗重性抑郁症(MDD)可能是医源性的,沉淀躁狂症,否则可能不会发生。目前的诊断程序仅依赖于自我报告/可观察到的症状,因此需要替代数据源,如大脑网络特性,以补充目前基于自我报告/观察的躁狂风险指数。在一个大的(N=249),目前抑郁的BD(n=50)和MDD(n=116)患者和健康对照组(n=83)的无药物样本中检查了情感维持/调节过程中的脑连接。BD风险在MDD患者亚组中进行分类。我们使用图论来识别区分(i)BD和MDD以及(ii)BD高风险和低风险MDD患者的紧急网络特性。BD和MDD的不同之处在于(i)喙前扣带回嵌入局部网络的程度,(ii)海马对全球网络通信的影响量,以及(iii)眶额皮质通信的清晰度。高BD风险的MDD患者表现出与健康对照组相似的右杏仁核周围局部网络聚集模式,而低BD风险的MDD偏离了这种模式。BD和MDD不同的新兴网络机制subserving影响调节,杏仁核的属性跟踪BD的风险在MDD患者。如果重复,目前的研究结果可能与其他标志物相结合,以评估存在BD/BD风险的个人提出抑郁症状,以防止使用医源性治疗。
Individuals with/at risk for Bipolar Disorder (BD) often present initially for the treatment of depressive symptoms. Unfortunately, pharmacological treatments for Major Depressive Disorder (MDD) can be iatrogenic, precipitating mania which may not have otherwise occurred. Current diagnostic procedures rely solely on self-reported/observable symptoms, and thus alternative data sources, like brain network properties, are needed to supplement current self-report/observation-based indices of risk for mania. Brain connectivity during affect maintenance/regulation was examined in a large (N=249), medication-free sample of currently depressed BD (n=50) and MDD (n=116) patients and healthy controls (n=83). BD risk was categorized in a subset of MDD patients. We used graph theory to identify emergent network properties that differentiated between (i) BD and MDD and (ii) MDD patients at high and low risk for BD. BD and MDD differed in the (i) extent to which rostral anterior cingulate was embedded in the local network, (ii) amount of influence hippocampus exerted over global network communication, and (iii) clarity of orbitofrontal cortex communication. MDD patients at high BD risk showed a pattern of local network clustering around right amygdala that was similar to healthy controls, whereas MDD at low risk for BD deviated from this pattern. BD and MDD differed in emergent network mechanisms subserving affect regulation, and amygdala properties tracked BD risk in MDD patients. If replicated, present findings may be combined with other markers to assess the presence of BD/BD-risk in individuals presenting with depressive symptoms in order to prevent the use of iatrogenic treatments.
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