Temporal Information of Directed Causal Connectivity in Multi-Trial ERP Data using Partial Granger Causality
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- 作者：Vahab Youssofzadeh ; Girijesh Prasad ; Muhammad Naeem ; KongFatt Wong-Lin
- 关键词：Partial Granger causality (PGC) ; Event ; related potential (ERP) ; Conditional Granger causality (CGC) ; Mismatch negativity (MMN) ; Auditory oddball paradigm (AOP)
- 刊名：Neuroinformatics
- 出版年：2016
- 出版时间：January 2016
- 年：2016
- 卷：14
- 期：1
- 页码：99-120
- 全文大小：3,333 KB
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Girijesh Prasad (1)
Muhammad Naeem (2)
KongFatt Wong-Lin (1)
1. Intelligent Systems Research Centre, Ulster University, L’Derry, UK
2. Institute of Digital Health, University of Warwick, Coventry, UK - 刊物主题：Neurosciences; Bioinformatics; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; Neurology;
- 出版者：Springer US
- ISSN：1559-0089
文摘
Partial Granger causality (PGC) has been applied to analyse causal functional neural connectivity after effectively mitigating confounding influences caused by endogenous latent variables and exogenous environmental inputs. However, it is not known how this connectivity obtained from PGC evolves over time. Furthermore, PGC has yet to be tested on realistic nonlinear neural circuit models and multi-trial event-related potentials (ERPs) data. In this work, we first applied a time-domain PGC technique to evaluate simulated neural circuit models, and demonstrated that the PGC measure is more accurate and robust in detecting connectivity patterns as compared to conditional Granger causality and partial directed coherence, especially when the circuit is intrinsically nonlinear. Moreover, the connectivity in PGC settles faster into a stable and correct configuration over time. After method verification, we applied PGC to reveal the causal connections of ERP trials of a mismatch negativity auditory oddball paradigm. The PGC analysis revealed a significant bilateral but asymmetrical localised activity in the temporal lobe close to the auditory cortex, and causal influences in the frontal, parietal and cingulate cortical areas, consistent with previous studies. Interestingly, the time to reach a stable connectivity configuration (~250–300 ms) coincides with the deviation of ensemble ERPs of oddball from standard tones. Finally, using a sliding time window, we showed higher resolution dynamics of causal connectivity within an ERP trial. In summary, time-domain PGC is promising in deciphering directed functional connectivity in nonlinear and ERP trials accurately, and at a sufficiently early stage. This data-driven approach can reduce computational time, and determine the key architecture for neural circuit modelling. Keywords Partial Granger causality (PGC) Event-related potential (ERP) Conditional Granger causality (CGC) Mismatch negativity (MMN) Auditory oddball paradigm (AOP)