A Framework for Causal Connectivity Analysis of fMRI in Patient Populations: An Application to Major Depression and Early Life Stress

Keywords

abuse accurately activated among anterior application asked attention attenuated auburn autoregressive aversive button causal centralized characterized childhood clinical computer condition conflict congruent connectivity controls correlated correlation cortex decreased depression designed differential difficulty directional distinct dorsal dynamic early efficiency electrical emotion emotional engineering exaggerated examined exposed extracted faces failure filter findings flanker framework gender grant greater healthy history human hyper hypo identification identified identify illustrated incongruent inference influence inhibition input inputs investigated investigation journal lateral life limbic major matrices medial medicated medicine model models modulation multivariate negative neuronal neutral never normalizing originated outputs participants path paths patient patients perception phenotypes physical plot populated populations positive press procedure psychiatric psychiatry psychology psychophysics quickly reactivity represents respectively respond response responsive revealed roles samples scanner scatter schematic school scores selective separately series significantly similarly specifically statistical stimuli stress studies subtype supports target task translational trauma twenty unaffected underlying valence variant view volume whereas whether wood