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The impact of laten...
The impact of latent confounders in directed network analysis in neuroscience
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- Ramb, Rebecca (författare)
- University of Freiburg, Germany
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- Eichler, Michael (författare)
- Maastricht University, Netherlands
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- Ing, Alex (författare)
- University of Aberdeen, Scotland
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- Thiel, Marco (författare)
- University of Aberdeen, Scotland
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- Weiller, Cornelius (författare)
- University Hospital Freiburg, Germany
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- Grebogi, Celso (författare)
- University of Aberdeen, Scotland University of Freiburg, Germany
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- Schwarzbauer, Christian (författare)
- University of Aberdeen, Scotland
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- Timmer, Jens (författare)
- Linköpings universitet,Avdelningen för cellbiologi,Hälsouniversitetet
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- Schelter, Bjoern (författare)
- University of Freiburg, Germany University of Aberdeen, Scotland University of Freiburg, Germany University of Medical Centre Freiburg, Germany
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(creator_code:org_t)
- 2013-08-28
- 2013
- Engelska.
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Ingår i: Philosophical Transactions. Series A. - : Royal Society. - 1364-503X .- 1471-2962. ; 371:1997
- Relaterad länk:
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https://royalsociety...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- In the analysis of neuroscience data, the identification of task-related causal relationships between various areas of the brain gives insights about the network of physiological pathways that are active during the task. One increasingly used approach to identify causal connectivity uses the concept of Granger causality that exploits predictability of activity in one region by past activity in other regions of the brain. Owing to the complexity of the data, selecting components for the analysis of causality as a preprocessing step has to be performed. This includes predetermined-and often arbitrary-exclusion of information. Therefore, the system is confounded by latent sources. In this paper, the effect of latent confounders is demonstrated, and paths of influence among three components are studied. While methods for analysing Granger causality are commonly based on linear vector autoregressive models, the effects of latent confounders are expected to be present also in nonlinear systems. Therefore, all analyses are also performed for a simulated nonlinear system and discussed with regard to applications in neuroscience.
Nyckelord
- Granger causality; renormalized partial directed coherence; vector autoregressive modelling; latent confounders
- MEDICINE
- MEDICIN
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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