Modelling effects of consciousness disorders in brainstem computational model – Preliminary findings

IF 1.2 Q3 Computer Science

Bio-Algorithms and Med-Systems Pub Date : 2020-06-01 DOI:10.1515/bams-2020-0018

Wlodzislaw Duch, D. Mikołajewski

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引用次数: 0

Abstract

Abstract Objectives Disorders of consciousness are very big medical and social problem. Their variability, problems in precise definition and proper diagnosis make difficult assessing their causes and effectiveness of the therapy. In the paper we present our point of view to a problem of consciousness and its most common disorders. Methods For this moment scientists do not know exactly, if these disorders can be a result of simple but general mechanism, or a complex set of mechanisms, both on neural, molecular or system level. Presented in the paper simulations using neural network models, including biologically relevant consciousness’ modelling, help assess influence of specified causes. Results Nonmotoric brain activity can play important role within diagnostic process as a supplementary method for motor capabilities. Simple brain sensory (e.g. visual) processing of both healthy subject and people with consciousness disorders help checking hypotheses in the area of consciousness’ disorders’ mechanisms, including associations between consciousness and its neural correlates. Conclusions The results are promising. Project announced herein will be developed and its next result will be presented in subsequent articles.

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意识障碍在脑干计算模型中的建模效应——初步发现

摘要目的意识障碍是一个非常大的医学和社会问题。它们的可变性，在精确定义和正确诊断方面的问题使得难以评估其原因和治疗效果。在这篇论文中，我们提出了我们对意识问题及其最常见障碍的观点。方法目前科学家尚不清楚这些疾病是由简单而普遍的机制引起的，还是由神经、分子或系统水平上的一系列复杂机制引起的。本文介绍了使用神经网络模型的模拟，包括生物学相关的意识建模，有助于评估特定原因的影响。结果非运动性脑活动可作为运动能力的辅助诊断方法，在诊断过程中发挥重要作用。对健康受试者和意识障碍患者进行简单的大脑感觉(如视觉)处理，有助于检验意识“障碍”机制领域的假设，包括意识与其神经相关物之间的关联。结论研究结果是有希望的。这里宣布的项目将被开发，它的下一个结果将在随后的文章中提出。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Bio-Algorithms and Med-Systems MATHEMATICAL & COMPUTATIONAL BIOLOGY-

CiteScore

3.80

自引率

0.00%

发文量

期刊介绍： The journal Bio-Algorithms and Med-Systems (BAMS), edited by the Jagiellonian University Medical College, provides a forum for the exchange of information in the interdisciplinary fields of computational methods applied in medicine, presenting new algorithms and databases that allows the progress in collaborations between medicine, informatics, physics, and biochemistry. Projects linking specialists representing these disciplines are welcome to be published in this Journal. Articles in BAMS are published in English. Topics Bioinformatics Systems biology Telemedicine E-Learning in Medicine Patient''s electronic record Image processing Medical databases.