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Classification of schizophrenia and bipolar patients using static and dynamic resting-state fMRI brain connectivity.
Rashid B, Arbabshirani MR, Damaraju E, Cetin MS, Miller R, Pearlson GD, Calhoun VD. Rashid B, et al. Neuroimage. 2016 Jul 1;134:645-657. doi: 10.1016/j.neuroimage.2016.04.051. Epub 2016 Apr 23. Neuroimage. 2016. PMID: 27118088 Free PMC article.
While such dynamic FNC measures may be more informative about various aspects of connectivity, there has been no detailed head-to-head comparison of the ability of static and dynamic FNC to perform classification in complex mental illnesses. Thi …
While such dynamic FNC measures may be more informative about various aspects of connectivity, there has been no detailed head …
Effective connectivity within a triple network brain system discriminates schizophrenia spectrum disorders from psychotic bipolar disorder at the single-subject level.
Palaniyappan L, Deshpande G, Lanka P, Rangaprakash D, Iwabuchi S, Francis S, Liddle PF. Palaniyappan L, et al. Schizophr Res. 2019 Dec;214:24-33. doi: 10.1016/j.schres.2018.01.006. Epub 2018 Feb 3. Schizophr Res. 2019. PMID: 29398207
METHODS: Directed static connectivity and its dynamic variance was estimated among 8 nodes of the three large-scale networks. Multivariate autoregressive models of deconvolved resting state functional magnetic resonance imaging
METHODS: Directed static connectivity and its dynamic variance was estimated among 8 nodes of the three large-scale net …
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