NDLI: AdDressing Missing Nodes as Missing Data in Dynamic Causal Modeling

Content Provider	IEEE Xplore Digital Library
Author	Wyatt, C.L. Zaghlool, S.B.
Copyright Year	2012
Abstract	Dynamic Causal Modeling (DCM) uses dynamical systems to represent the high-level neural processing strategy for a given cognitive task. The logical network topology of the model is specified by a combination of prior knowledge and statistical analysis of the neuro-imaging signals. Parameters of this a-priori model are then estimated and competing models are compared to determine the most likely model given experimental data. Inter-subject analysis using DCM requires considerable judgement on the part of the experimenter to decide on the validity of assumptions used in the modeling and statistical analysis; in particular, the dropping of subjects with insufficient activity in a region of the model and ignoring activations not included in the model. This manual data filtering is required so that the model's network size is consistent across subjects. A solution to this problem would ease using DCM in population studies and reduce potential sources of experimental bias. The paper describes and compares three different approaches to allow inter-subject comparisons by treating variation in the network size as a missing data problem. These approaches are compared with respect to accuracy in classifying and predicting subject DCMs using simulated data.
Starting Page	81
Ending Page	84
File Size	193205
Page Count	4
File Format	PDF
ISBN	9781467321822
DOI	10.1109/PRNI.2012.29
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-02
Publisher Place	United Kingdom
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Graph Topology Analytical models Accuracy Missing Data Computational modeling Estimation Brain models Dymanic Causal Modeling Data models
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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