WPIC -- 3811 O'Hara St.
My Website >
Research Interests: Physiological and neuroimaging investigation of emotional information processing and interactions between emotion and cognition in healthy individuals and individuals who are clinically depressed; computational neural network modeling of interactions of emotion and cognition, and their application to affective psychopathology; brain mechanisms and predictors of recovery from depression and anxiety
Accepting Graduate Students: No
- PhD, San Diego University/ University of California, San Diego
- Joseph Zubin Memorial Fund Award for Research in Psychopathology, 2008
- Beck Institute Scholar, 2007
- Selected as one of two researchers in the country to represent NIMH to Congress at the 10th anniversary of the Office of Behavioral and Social Science Research, 2006
Silk JS, Siegle GJ, Whalen DJ, Ostapenko L, Ladouceur CD, Dahl RE. Pubertal changes in emotional information processing: pupillary, behavioral, and subjective evidence during emotional word identification. Development & Psychopathology. 2009 Winter;21(1):7-26.
Tan PZ, Forbes EE, Dahl RE, Ryan ND, Siegle GJ, Ladouceur CD, Silk JS. Emotional reactivity and regulation in anxious and non-anxious youth: a cell-phone ecological momentary assessment study. Journal of Child Psychology & Psychiatry. 2012 February; 53(2): 197-206.
Silk JS, Sheeber L, Tan PZ, Ladouceur CD, Forbes EE, McMakin DL, Dahl RE, Siegle GJ, Kendall PC, Mannarino A, Ryan ND . You can do it!: The role of parental encouragement to approach fears in child anxiety treatment. Journal of Anxiety Disorders. 2013 June; 27(5):439-446.
DeRubeis, R.J., Siegle, G. J., Hollon, S., (2008). Cognitive therapy versus medications for depression: treatment outcomes and neural mechanisms. Nature neuroscience: Reviews, 9, 788-796.
Siegle, G.J., Steinhauer, S.R., Thase, M.E. (2004). Pupillary assessment and computational modeling of the Stroop task in depression. International Journal of Psychophysiology, 52, 63-76.
Siegle, G.J., Carter, C.S., Thase, M.E. (2006). Use of fMRI to predict recovery from unipolar depression with Cognitive Behavior Therapy. American Journal of Psychiatry, 163, 735-738.
Siegle, G.J., Ghinassi, F., Thase, M.E. (2007). Neurobehavioral therapies in the 21st century: Summary of an emerging field and an extended example of Cognitive Control Training for depression. Cognitive Therapy and Research, 31, 235-262.