描绘大脑状态的空间。

IF 3.1 4区 医学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Maria Mannone, Patrizia Ribino, Peppino Fazio, Norbert Marwan
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引用次数: 0

摘要

脑功能连通性改变,即大脑区域之间信号交换的病理改变,发生在几种神经系统疾病中,包括神经退行性疾病和神经精神疾病。它们包括大脑功能网络如何工作的变化。通过将大脑空间概念化为一个空间,其点是代表大脑功能状态的连接组配置,大脑网络功能的变化可以通过这些点之间的路径来表示。从健康状态到患病状态的路径,或作为疾病进展实例的患病状态之间的路径,被建模为rankheit算子的动作,它产生从一种大脑功能状态到另一种大脑功能状态的变化。本研究提出了脑状态空间的形式化表示,并给出了其计算定义。此外,对帕金森病、精神分裂症和阿尔茨海默-佩鲁西尼病患者的参考资料也包括在内,以讨论拟议的方法和可能的研究发展,以推广。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Sketching a Space of Brain States.

Sketching a Space of Brain States.

Sketching a Space of Brain States.

Sketching a Space of Brain States.

Brain functional connectivity alterations, that is, pathological changes in the signal exchange between areas of the brain, are occurring in several neurological diseases, including neurodegenerative and neuropsychiatric ones. They consist in changes in how brain functional networks work. By conceptualising a brain space as a space whose points are connectome configurations representing brain functional states, changes in brain network functionality can be represented by paths between these points. Paths from a healthy state to a diseased one, or between diseased states as instances of disease progression, are modelled as the action of the Krankheit-Operator, that produces changes from a brain functional state to another one. This study proposes a formal representation of the space of brain states and presents its computational definition. Moreover, references to patients affected by Parkinson's disease, schizophrenia, and Alzheimer-Perusini's disease are included for discussing the proposed approach and possible developments of the research toward a generalisation.

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来源期刊
Neuroinformatics
Neuroinformatics 医学-计算机:跨学科应用
CiteScore
6.00
自引率
6.70%
发文量
54
审稿时长
3 months
期刊介绍: Neuroinformatics publishes original articles and reviews with an emphasis on data structure and software tools related to analysis, modeling, integration, and sharing in all areas of neuroscience research. The editors particularly invite contributions on: (1) Theory and methodology, including discussions on ontologies, modeling approaches, database design, and meta-analyses; (2) Descriptions of developed databases and software tools, and of the methods for their distribution; (3) Relevant experimental results, such as reports accompanie by the release of massive data sets; (4) Computational simulations of models integrating and organizing complex data; and (5) Neuroengineering approaches, including hardware, robotics, and information theory studies.
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