title: Functional MRI in Awake Dogs Predicts Suitability for Assistance Work.
abstract: The overall goal of this work was to measure the efficacy of fMRI for predicting whether a dog would be a successful service dog. The training and imaging were performed in 49 dogs entering service training at 17-21 months of age. 33 dogs completed service training and were matched with a person, while 10 were released for behavioral reasons (4 were selected as breeders and 2 were released for medical reasons.) After 2 months of training, fMRI responses were measured while each dog observed hand signals indicating either reward or no reward and given by both a familiar handler and a stranger. Using anatomically defined ROIs in the caudate, amygdala, and visual cortex, we developed a classifier based on the dogs' subsequent training outcomes. The classifier had a positive predictive value of 94% and a negative predictive value of 67%. The area under the ROC curve was 0.91 (0.80 with 4-fold cross-validation, P = 0.01), indicating a significant predictive capability. The magnitude of response in the caudate was positively correlated with a successful outcome, while the response in the amygdala depended on the interaction with the visual cortex during the stranger condition and was negatively correlated with outcome (higher being associated with failure). These results suggest that, as indexed by caudate activity, successful service dogs generalize associations to hand signals regardless who gives them but without excessive arousal as measured in the amygdala.
authors.affiliation: Psychology Department, Emory University, Atlanta, GA, USA.
authors.forename: Gregory S
authors.initials: GS
authors.lastname: Berns
authors.affiliation: Dog Star Technologies, Sandy Springs, GA, USA.
authors.forename: Andrew M
authors.initials: AM
authors.lastname: Brooks
authors.affiliation: Dog Star Technologies, Sandy Springs, GA, USA.
authors.forename: Mark
authors.initials: M
authors.lastname: Spivak
authors.affiliation: Canine Companions for Independence, Santa Rosa, CA, USA.
authors.forename: Kerinne
authors.initials: K
authors.lastname: Levy
mesh_terms: D000818:Animals; D001522:Behavior, Animal; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping; D004285:Dogs; D005260:Female; D007090:Image Interpretation, Computer-Assisted; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging; D008297:Male; D012372:ROC Curve; D015203:Reproducibility of Results; D012201:Reward; D014851:Wakefulness