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确定一种高度特异性的病理功能联系,这种联系会将幻听转化为痛苦。

Pinpointing a highly specific pathological functional connection that turns phantom sound into distress.

作者信息

Vanneste Sven, Congedo Marco, De Ridder Dirk

机构信息

Department of Translational Neuroscience, Faculty of Medicine, University of Antwerp, Antwerp, Belgium, Brai²n, University Hospital Antwerp, 2650 Edegem, Belgium.

Vision and Brain Signal Processing (ViBS) Research Group, GIPSA-lab, CNRS, Grenoble University, Grenoble, France and.

出版信息

Cereb Cortex. 2014 Sep;24(9):2268-82. doi: 10.1093/cercor/bht068. Epub 2013 Apr 30.

Abstract

It has been suggested that an auditory phantom percept is the result of multiple, parallel but overlapping networks. One of those networks encodes tinnitus loudness and is electrophysiologically separable from a nonspecific distress network. The present study investigates how these networks anatomically overlap, what networks are involved, and how and when these networks interact. Electroencephalography data of 317 tinnitus patients and 256 healthy subjects were analyzed, using independent component analysis. Results demonstrate that tinnitus is characterized by at least 2 major brain networks, each consisting of multiple independent components. One network reflects tinnitus distress, while another network reflects the loudness of the tinnitus. The component coherence analysis shows that the independent components that make up the distress and loudness networks communicate within their respective network at several discrete frequencies in parallel. The distress and loudness networks do not intercommunicate for patients without distress, but do when patients are distressed by their tinnitus. The obtained data demonstrate that the components that build up these 2 separable networks communicate at discrete frequencies within the network, and only between the distress and loudness networks in those patients in whom the symptoms are also clinically linked.

摘要

有人提出,听觉幻听是多个并行但重叠的网络作用的结果。其中一个网络编码耳鸣响度,并且在电生理上可与非特异性痛苦网络区分开来。本研究调查了这些网络在解剖学上如何重叠、涉及哪些网络,以及这些网络如何相互作用以及何时相互作用。使用独立成分分析对317名耳鸣患者和256名健康受试者的脑电图数据进行了分析。结果表明,耳鸣的特征是至少有2个主要脑网络,每个网络由多个独立成分组成。一个网络反映耳鸣痛苦,而另一个网络反映耳鸣的响度。成分相干分析表明,构成痛苦网络和响度网络的独立成分在各自网络内以多个离散频率并行通信。对于没有痛苦的患者,痛苦网络和响度网络不相互通信,但当患者因耳鸣而痛苦时则会相互通信。获得的数据表明,构成这两个可分离网络的成分在网络内以离散频率通信,并且仅在症状在临床上也相关的患者的痛苦网络和响度网络之间通信。

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