title: [Contribution of neuroimaging in the prediction of outcome in neuropsychiatric disorders and learning disabilities].
abstract: Recent advances in cognitive neuroscience methods reveal the potential of neuroimaging as be a useful tool in clinical and educational practice. In this review, we review the literature and provide evidence that functional and structural neuroimaging can detect changes with treatment. Further, we show promising initial results showing that the addition of neuroimaging measures can enhance conventional methods to predict outcome and prognosis. Examples are drawn from disorders such as attention-deficit / hyperactivity disorder (ADHD), depression, schizophrenia, obsessive-compulsive disorder (OCD), temporal lobe epilepsy, Alzheimer disease and developmental dyslexia. This evidence raises the intriguing possibility of utilizing neuroimaging data as a critical component in assessing and predicting cognitive abilities and
authors.affiliation: Center for Interdisciplinary Brain Science Research (CIBSR), Stanford University School of Medicine.
authors.forename: Nobuhisa
authors.initials: N
authors.lastname: Kobayashi
authors.forename: Motoichiro
authors.initials: M
authors.lastname: Kato
authors.forename: Fumiko
authors.initials: F
authors.lastname: Hoeft
mesh_terms: D001921:Brain / Q000473:pathology; D003072:Cognition Disorders / Q000175:diagnosis / Q000473:pathology; D003952:Diagnostic Imaging; D006801:Humans; D008279:Magnetic Resonance Imaging; D001523:Mental Disorders / Q000175:diagnosis* / Q000473:pathology; D009422:Nervous System Diseases / Q000175:diagnosis* / Q000473:pathology; D009488:Neurosciences / Q000379:methods; D011237:Predictive Value of Tests; D011379:Prognosis