title: Abnormal facial emotion recognition in depression: serial testing in an ultra-rapid-cycling patient.
abstract: Normal subjects use the right insula and bilateral anterior temporal and prefrontal cortices to recognize the emotion expressed in a human face. Mood disorder subjects have a selective deficit in recognizing human facial emotion. Brain imaging studies show that they fail to activate the right insula to the same degree as controls, even when accurately assessing facial emotion. Many issues remain, however, including whether the facial emotion recognition errors in mood disorder subjects are state dependent or persist during normal mood states (and, thus, reflect a trait abnormality). To probe this issue, we repeatedly studied a male bipolar II patient's ability to recognize faces' emotional content. This patient made significantly more errors in facial emotion recognition during the depressed state. He also demonstrated a significant negative bias when he was depressed compared with nondepressed states. This case study demonstrates the state dependency of the defect in human facial emotion recognition.
authors.affiliation: Department of Radiology, Medical University of South Carolina, Charleston 29425, USA. georgem@musc.edu
authors.forename: M S
authors.initials: MS
authors.lastname: George
authors.forename: T
authors.initials: T
authors.lastname: Huggins
authors.forename: W
authors.initials: W
authors.lastname: McDermut
authors.forename: P I
authors.initials: PI
authors.lastname: Parekh
authors.forename: D
authors.initials: D
authors.lastname: Rubinow
authors.forename: R M
authors.initials: RM
authors.lastname: Post
mesh_terms: D000328:Adult; D001288:Attention; D001714:Bipolar Disorder / Q000175:diagnosis / Q000523:psychology*; D002908:Chronic Disease; D003866:Depressive Disorder / Q000175:diagnosis / Q000523:psychology*; D004193:Discrimination Learning; D005149:Facial Expression; D006801:Humans; D008297:Male; D010364:Pattern Recognition, Visual; D011569:Psychiatric Status Rating Scales; D012008:Recurrence