Bayesian vector autoregressive model for multi-subject effective connectivity inference using multi-modal neuroimaging data
نویسندگان
چکیده
منابع مشابه
Bayesian vector autoregressive model for multi-subject effective connectivity inference using multi-modal neuroimaging data.
In this article a multi-subject vector autoregressive (VAR) modeling approach was proposed for inference on effective connectivity based on resting-state functional MRI data. Their framework uses a Bayesian variable selection approach to allow for simultaneous inference on effective connectivity at both the subject- and group-level. Furthermore, it accounts for multi-modal data by integrating s...
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ژورنال
عنوان ژورنال: Human Brain Mapping
سال: 2016
ISSN: 1065-9471
DOI: 10.1002/hbm.23456