Martino Matteo, Magioncalda Paola, Huang Zirui, Conio Benedetta, Piaggio Niccolò, Duncan Niall W, Rocchi Giulio, Escelsior Andrea, Marozzi Valentina, Wolff Annemarie, Inglese Matilde, Amore Mario, Northoff Georg
Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, and Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa 16100, Italy;
Mind, Brain Imaging, and Neuroethics, Royal's Institute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada K1Z 7K4;
Proc Natl Acad Sci U S A. 2016 Apr 26;113(17):4824-9. doi: 10.1073/pnas.1517558113. Epub 2016 Apr 11.
Depressive and manic phases in bipolar disorder show opposite constellations of affective, cognitive, and psychomotor symptoms. At a neural level, these may be related to topographical disbalance between large-scale networks, such as the default mode network (DMN) and sensorimotor network (SMN). We investigated topographical patterns of variability in the resting-state signal-measured by fractional SD (fSD) of the BOLD signal-of the DMN and SMN (and other networks) in two frequency bands (Slow5 and Slow4) with their ratio and clinical correlations in depressed (n = 20), manic (n = 20), euthymic (n = 20) patients, and healthy controls (n = 40). After controlling for global signal changes, the topographical balance between the DMN and SMN, specifically in the lowest frequency band, as calculated by the Slow5 fSD DMN/SMN ratio, was significantly increased in depression, whereas the same ratio was significantly decreased in mania. Additionally, Slow5 variability was increased in the DMN and decreased in the SMN in depressed patients, whereas the opposite topographical pattern was observed in mania. Finally, the Slow5 fSD DMN/SMN ratio correlated positively with clinical scores of depressive symptoms and negatively with those of mania. Results were replicated in a smaller independent bipolar disorder sample. We demonstrated topographical abnormalities in frequency-specific resting-state variability in the balance between DMN and SMN with opposing patterns in depression and mania. The Slow5 DMN/SMN ratio was tilted toward the DMN in depression but was shifted toward the SMN in mania. The Slow5 fSD DMN/SMN pattern could constitute a state-biomarker in diagnosis and therapy.
双相情感障碍的抑郁和躁狂阶段表现出相反的情感、认知和精神运动症状组合。在神经层面，这些可能与大规模网络（如默认模式网络（DMN）和感觉运动网络（SMN））之间的地形失衡有关。我们研究了在两个频段（Slow5和Slow4）中，抑郁症患者（n = 20）、躁狂症患者（n = 20）、心境正常患者（n = 20）和健康对照者（n = 40）的DMN和SMN（以及其他网络）静息态信号（通过BOLD信号的分数标准差（fSD）测量）的频率特异性变异性的地形模式，及其比率和临床相关性。在控制了全局信号变化后，通过Slow5 fSD DMN/SMN比率计算得出的DMN和SMN之间的地形平衡，特别是在最低频段，在抑郁症中显著增加，而在躁狂症中该比率显著降低。此外，抑郁症患者的DMN中Slow5变异性增加，SMN中变异性降低，而在躁狂症中观察到相反的地形模式。最后，Slow5 fSD DMN/SMN比率与抑郁症状的临床评分呈正相关，与躁狂症状的临床评分呈负相关。结果在一个较小的独立双相情感障碍样本中得到了重复。我们证明了DMN和SMN之间平衡的频率特异性静息态变异性存在地形异常，在抑郁和躁狂中呈现相反模式。Slow5 DMN/SMN比率在抑郁症中向DMN倾斜，但在躁狂症中向SMN偏移。Slow5 fSD DMN/SMN模式可能构成诊断和治疗中的一种状态生物标志物。
