神经反射
扣带回前部
心理学
大脑活动与冥想
神经影像学
神经科学
集合(抽象数据类型)
认知心理学
计算机科学
脑电图
认知
程序设计语言
作者
Jana Zweerings,Kiira Karoliina Sarasjärvi,Krystyna A. Mathiak,Jorge Iglesias-Fuster,Fengyu Cong,Mikhail Zvyagintsev,Klaus Mathiak
标识
DOI:10.1142/s012906572150043x
摘要
Brain-computer interfaces (BCIs) can be used in real-time fMRI neurofeedback (rtfMRI NF) investigations to provide feedback on brain activity to enable voluntary regulation of the blood-oxygen-level dependent (BOLD) signal from localized brain regions. However, the temporal pattern of successful self-regulation is dynamic and complex. In particular, the general linear model (GLM) assumes fixed temporal model functions and misses other dynamics. We propose a novel data-driven analyses approach for rtfMRI NF using intersubject covariance (ISC) analysis. The potential of ISC was examined in a reanalysis of data from 21 healthy individuals and nine patients with post-traumatic stress-disorder (PTSD) performing up-regulation of the anterior cingulate cortex (ACC). ISC in the PTSD group differed from healthy controls in a network including the right inferior frontal gyrus (IFG). In both cohorts, ISC decreased throughout the experiment indicating the development of individual regulation strategies. ISC analyses are a promising approach to reveal novel information on the mechanisms involved in voluntary self-regulation of brain signals and thus extend the results from GLM-based methods. ISC enables a novel set of research questions that can guide future neurofeedback and neuroimaging investigations.
科研通智能强力驱动
Strongly Powered by AbleSci AI