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关于意识、静息态功能磁共振成像和神经动力学

On consciousness, resting state fMRI, and neurodynamics.

作者信息

Lundervold Arvid

机构信息

Department of Biomedicine, Neuroinformatics and Image Analysis Laboratory, University of Bergen Jonas Lies vei 91, N-5009 Bergen, Norway.

出版信息

Nonlinear Biomed Phys. 2010 Jun 3;4 Suppl 1(Suppl 1):S9. doi: 10.1186/1753-4631-4-S1-S9.

DOI:10.1186/1753-4631-4-S1-S9
PMID:20522270
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2880806/
Abstract

BACKGROUND

During the last years, functional magnetic resonance imaging (fMRI) of the brain has been introduced as a new tool to measure consciousness, both in a clinical setting and in a basic neurocognitive research. Moreover, advanced mathematical methods and theories have arrived the field of fMRI (e.g. computational neuroimaging), and functional and structural brain connectivity can now be assessed non-invasively.

RESULTS

The present work deals with a pluralistic approach to "consciousness'', where we connect theory and tools from three quite different disciplines: (1) philosophy of mind (emergentism and global workspace theory), (2) functional neuroimaging acquisitions, and (3) theory of deterministic and statistical neurodynamics - in particular the Wilson-Cowan model and stochastic resonance.

CONCLUSIONS

Based on recent experimental and theoretical work, we believe that the study of large-scale neuronal processes (activity fluctuations, state transitions) that goes on in the living human brain while examined with functional MRI during "resting state", can deepen our understanding of graded consciousness in a clinical setting, and clarify the concept of "consiousness" in neurocognitive and neurophilosophy research.

摘要

背景

在过去几年中，脑功能磁共振成像（fMRI）已作为一种测量意识的新工具被引入临床和基础神经认知研究中。此外，先进的数学方法和理论已进入fMRI领域（如计算神经成像），现在可以非侵入性地评估脑功能和结构连接性。

结果

本研究采用多元方法探讨“意识”，将来自三个截然不同学科的理论和工具联系起来：（1）心灵哲学（突现论和全局工作空间理论），（2）功能神经成像技术，以及（3）确定性和统计神经动力学理论——特别是威尔逊-考恩模型和随机共振。

结论

基于最近的实验和理论研究，我们认为，在“静息状态”下用功能磁共振成像检查时，对活人脑中发生的大规模神经元过程（活动波动、状态转换）的研究，可以加深我们在临床环境中对分级意识的理解，并阐明神经认知和神经哲学研究中的“意识”概念。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aab/2880806/3ed0b3343374/1753-4631-4-S1-S9-7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aab/2880806/b1b18a3321b5/1753-4631-4-S1-S9-1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aab/2880806/cc35571b7c4d/1753-4631-4-S1-S9-6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aab/2880806/3ed0b3343374/1753-4631-4-S1-S9-7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aab/2880806/b1b18a3321b5/1753-4631-4-S1-S9-1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aab/2880806/5eb178467f28/1753-4631-4-S1-S9-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aab/2880806/870fd05b02ae/1753-4631-4-S1-S9-5.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aab/2880806/3ed0b3343374/1753-4631-4-S1-S9-7.jpg

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