Nonlinear EEG Analysis During Motor and Cognitive Tasks in Patients With Long COVID: A Dynamic Systems Approach.

Clinical EEG and neuroscience Pub Date : 2024-07-01 Epub Date: 2024-05-07 DOI:10.1177/15500594241252484
Gislene Diniz Morais, Pablo Andrei Appelt, Eduardo de Moura Neto, Rodrigo Bazan, Ariana Moura Cabral, Adriano de Oliveira Andrade, Gustavo José Luvizutto, Luciane Aparecida Pascucci Sande de Souza
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Abstract

Introduction. Nonlinear EEG provides information about dynamic properties of the brain. This study aimed to compare nonlinear EEG parameters estimated from patients with Long COVID in different cognitive and motor tasks. Materials and Methods. This 12-month prospective cohort study included 83 patients with Long COVID: 53 symptomatic and 30 asymptomatic. Brain electrical activity was evaluated by EEG in 4 situations: (1) at rest, (2) during the Trail Making Test Part A (TMT-A), (3) during the TMT Part B (TMT-B), and (4) during a coordination task: the Box and Blocks Test (BBT). Nonlinear EEG parameters were estimated in the time domain (activity and complexity). Assessments were made at 0 to 3, 3 to 6, and 6 to 12 months after inclusion. Results. There was a decrease in activity and complexity during the TMT-A and TMT-B, and an increase of these parameters during the BBT in both groups. There was an increase in activity at rest and during the TMT-A in the COVID-19 group at 0 to 3 months compared to the control, an increase in activity in the TMT-B in the COVID-19 group at 3 to 6 months compared to the control, and reduced activity and complexity at rest and during the TMT-A at 6 to 12 months compared to the control. Conclusion. The tasks followed a pattern of increased activity and complexity in cognitive tasks, which decreased during the coordination task. It was also observed that an increase in activity at rest and during cognitive tasks in the early stages, and reduced activity and complexity at rest and during cognitive tasks in the late phases of Long COVID.

长 COVID 患者运动和认知任务期间的非线性脑电图分析:一种动态系统方法。
简介非线性脑电图可提供有关大脑动态特性的信息。本研究旨在比较长 COVID 患者在不同认知和运动任务中估算出的非线性脑电图参数。材料和方法。这项为期 12 个月的前瞻性队列研究包括 83 名长 COVID 患者:53 名有症状,30 名无症状。通过脑电图评估了 4 种情况下的脑电活动:(1) 静息时;(2) 在 "寻迹测试 A 部分"(TMT-A)过程中;(3) 在 "寻迹测试 B 部分"(TMT-B)过程中;(4) 在协调任务:"方框和块测试"(BBT)过程中。非线性脑电图参数在时域(活动性和复杂性)中进行估算。分别在入组 0 至 3 个月、3 至 6 个月和 6 至 12 个月时进行评估。结果显示在 TMT-A 和 TMT-B 过程中,两组患者的活动度和复杂度都有所下降,而在 BBT 过程中,这些参数都有所上升。与对照组相比,COVID-19 组在 0 至 3 个月的静息状态和 TMT-A 期间的活动量增加;与对照组相比,COVID-19 组在 3 至 6 个月的 TMT-B 期间的活动量增加;与对照组相比,COVID-19 组在 6 至 12 个月的静息状态和 TMT-A 期间的活动量和复杂性减少。结论在认知任务中,任务的活动性和复杂性增加,而在协调任务中活动性和复杂性减少。此外,还观察到在长COVID的早期阶段,休息时和认知任务中的活动增加,而在晚期阶段,休息时和认知任务中的活动和复杂性减少。
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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