title: What can fear and reward learning teach us about depression?
abstract: The precise neural substrates of major depressive disorder (MDD) remain elusive, and FDA-approved antidepressants fail at least one-third of treatment-seeking patients. It is imperative, therefore, to identify novel research strategies to tackle the factors impeding progress. In this chapter we propose that the knowledge derived from computational investigations of associative learning might offer new insights into the neurobiology of MDD.
authors.affiliation: Mt. Sinai School of Medicine, New York, NY, US.
authors.forename: Katherine A
authors.initials: KA
authors.lastname: Collins
authors.forename: Daniela
authors.initials: D
authors.lastname: Schiller
mesh_terms: D000818:Animals; D001245:Association Learning / Q000502:physiology*; D003865:Major Depressive Disorder / Q000503:physiopathology* / Q000523:psychology*; D005239:Fear / Q000523:psychology*; D006801:Humans; D012201:Reward