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β 和 γ 网络在多感觉训练后的出现。

Emergence of β and γ networks following multisensory training.

机构信息

CEA/DRF/Joliot, Université Paris-Saclay, 91191, Gif-sur-Yvette, France; Université Paris-Saclay, Inria, CEA, Palaiseau, 91120, France.

CEA/DRF/Joliot, Université Paris-Saclay, 91191, Gif-sur-Yvette, France; Cognitive Neuroimaging Unit, INSERM, Université Paris-Sud, Université Paris-Saclay, NeuroSpin Center, 91191, Gif-sur-Yvette, France.

出版信息

Neuroimage. 2020 Feb 1;206:116313. doi: 10.1016/j.neuroimage.2019.116313. Epub 2019 Oct 30.

DOI:10.1016/j.neuroimage.2019.116313
PMID:31676416
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7355235/
Abstract

Our perceptual reality relies on inferences about the causal structure of the world given by multiple sensory inputs. In ecological settings, multisensory events that cohere in time and space benefit inferential processes: hearing and seeing a speaker enhances speech comprehension, and the acoustic changes of flapping wings naturally pace the motion of a flock of birds. Here, we asked how a few minutes of (multi)sensory training could shape cortical interactions in a subsequent unisensory perceptual task. For this, we investigated oscillatory activity and functional connectivity as a function of individuals' sensory history during training. Human participants performed a visual motion coherence discrimination task while being recorded with magnetoencephalography. Three groups of participants performed the same task with visual stimuli only, while listening to acoustic textures temporally comodulated with the strength of visual motion coherence, or with auditory noise uncorrelated with visual motion. The functional connectivity patterns before and after training were contrasted to resting-state networks to assess the variability of common task-relevant networks, and the emergence of new functional interactions as a function of sensory history. One major finding is the emergence of a large-scale synchronization in the high γ (gamma: 60-120Hz) and β (beta: 15-30Hz) bands for individuals who underwent comodulated multisensory training. The post-training network involved prefrontal, parietal, and visual cortices. Our results suggest that the integration of evidence and decision-making strategies become more efficient following congruent multisensory training through plasticity in network routing and oscillatory regimes.

摘要

我们的感知现实依赖于多个感官输入提供的关于世界因果结构的推断。在生态环境中,时间和空间上一致的多感官事件有利于推理过程:听到和看到说话者会增强对言语的理解,而拍打翅膀的声音变化自然会使鸟群的运动同步。在这里,我们想知道几分钟的(多)感官训练如何在随后的单一感官感知任务中塑造皮质相互作用。为此,我们研究了在训练过程中个体的感官历史对振荡活动和功能连接的影响。人类参与者在进行磁共振脑磁图记录的同时进行视觉运动一致性辨别任务。三组参与者仅用视觉刺激完成相同的任务,同时听与视觉运动一致性强度时间调制的声纹理或与视觉运动无关的听觉噪声。在训练前后对比功能连接模式与静息状态网络,以评估常见任务相关网络的可变性,以及作为感官历史函数的新功能交互的出现。一个主要发现是,经历过调制多感官训练的个体在高 γ(伽马:60-120Hz)和 β(β:15-30Hz)频段出现大规模同步。训练后的网络涉及前额叶、顶叶和视觉皮层。我们的结果表明,通过网络路由和振荡状态的可塑性,证据整合和决策策略的整合在一致的多感官训练后变得更加高效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf73/7355235/ee0cddd1e7d2/figs1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf73/7355235/ca4c3dcd3a59/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf73/7355235/91ccc140d7a0/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf73/7355235/b79a8c3f25e9/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf73/7355235/12e75c582856/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf73/7355235/f00cd993dc4e/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf73/7355235/9e95cf1374e7/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf73/7355235/ee0cddd1e7d2/figs1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf73/7355235/ca4c3dcd3a59/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf73/7355235/91ccc140d7a0/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf73/7355235/b79a8c3f25e9/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf73/7355235/12e75c582856/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf73/7355235/f00cd993dc4e/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf73/7355235/9e95cf1374e7/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf73/7355235/ee0cddd1e7d2/figs1.jpg

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