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Comparison of Functional Connectivity Estimated from Concatenated Task-State Data from Block-Design Paradigm with That of Continuous Task
Journal article   Open access   Peer reviewed

Comparison of Functional Connectivity Estimated from Concatenated Task-State Data from Block-Design Paradigm with That of Continuous Task

Yang Zhu, Lin Cheng, Naying He, Yang Yang, Huawei Ling, Hasan Ayaz, Shanbao Tong, Junfeng Sun and Yi Fu
Computational and mathematical methods in medicine, v 2017, 4198430
2017
DOI: https://doi.org/10.1155/2017/4198430
PMID: 28191030
Featured in Collection :   UN Sustainable Development Goals @ Drexel
url
https://doi.org/10.1155/2017/4198430View
Published, Version of Record (VoR)CC BY V4.0,  Open

Abstract

Functional connectivity (FC) analysis with data collected as continuous tasks and activation analysis using data from block-design paradigms are two main methods to investigate the task-induced brain activation. If the concatenated data of task blocks extracted from the block-design paradigm could provide equivalent FC information to that derived from continuous task data, it would shorten the data collection time and simplify experimental procedures, and the already collected data of block-design paradigms could be reanalyzed from the perspective of FC. Despite being used in many studies, such a hypothesis of equivalence has not yet been tested from multiple perspectives. In this study, we collected fMRI blood-oxygen-level-dependent signals from 24 healthy subjects during a continuous task session as well as in block-design task sessions. We compared concatenated task blocks and continuous task data in terms of region of interest- (ROI-) based FC, seed-based FC, and brain network topology during a short motor task. According to our results, the concatenated data was not significantly different from the continuous data in multiple aspects, indicating the potential of using concatenated data to estimate task-state FC in short motor tasks. However, even under appropriate experimental conditions, the interpretation of FC results based on concatenated data should be cautious and take the influence due to inherent information loss during concatenation into account.

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16 citations in Web of Science
9 citations in Scopus

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Web of Science research areas
Mathematical & Computational Biology
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