Contribution of neuroimaging in the prediction of outcome in neuropsychiatric disorders and learning disabilities

Nobuhisa Kobayashi, Motoichiro Kato, Fumiko Hoeft

Research output: Contribution to journalReview article

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 symptoms.

Original languageEnglish
Pages (from-to)1203-1210
Number of pages8
JournalBrain and Nerve
Volume59
Issue number10
Publication statusPublished - 2007 Oct 1

Keywords

  • Developmental dyslexia
  • Functional MRI
  • Neuroimaging
  • Neuropsychiatric disease
  • Outcome prediction

ASJC Scopus subject areas

  • Neuroscience(all)

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