Literature DB >> 22243743

The challenges and promise of neuroimaging in psychiatry.

David E J Linden1.   

Abstract

Neuroimaging is central to the quest for a biological foundation of psychiatric diagnosis but so far has not yielded clinically relevant biomarkers for mental disorders. This review addresses potential reasons for this limitation and discusses refinements of paradigms and analytic techniques that may yield improved diagnostic and prognostic accuracy. Neuroimaging can also be used to probe genetically defined biological pathways underlying mental disorders, for example through the genetic imaging of variants discovered in genome-wide association studies. These approaches may ultimately reveal mechanisms through which genes contribute to psychiatric symptoms and how pharmacological and psychological interventions exert their effects.
Copyright © 2012 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 22243743     DOI: 10.1016/j.neuron.2011.12.014

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


  68 in total

Review 1.  A review of feature reduction techniques in neuroimaging.

Authors:  Benson Mwangi; Tian Siva Tian; Jair C Soares
Journal:  Neuroinformatics       Date:  2014-04

2.  The implications of the shared genetics of psychiatric disorders.

Authors:  Michael C O'Donovan; Michael J Owen
Journal:  Nat Med       Date:  2016-10-26       Impact factor: 53.440

Review 3.  Integrating optogenetic and pharmacological approaches to study neural circuit function: current applications and future directions.

Authors:  Garret D Stuber; Alex O Mason
Journal:  Pharmacol Rev       Date:  2013-01-10       Impact factor: 25.468

4.  Translational neuroscience and potential contributions of functional magnetic resonance imaging (FMRI) to the prevention of substance misuse and antisocial behavior.

Authors:  Lori A Whitten
Journal:  Prev Sci       Date:  2013-06

Review 5.  Real-time fMRI neurofeedback: progress and challenges.

Authors:  J Sulzer; S Haller; F Scharnowski; N Weiskopf; N Birbaumer; M L Blefari; A B Bruehl; L G Cohen; R C DeCharms; R Gassert; R Goebel; U Herwig; S LaConte; D Linden; A Luft; E Seifritz; R Sitaram
Journal:  Neuroimage       Date:  2013-03-27       Impact factor: 6.556

Review 6.  Predicting Polygenic Risk of Psychiatric Disorders.

Authors:  Alicia R Martin; Mark J Daly; Elise B Robinson; Steven E Hyman; Benjamin M Neale
Journal:  Biol Psychiatry       Date:  2018-12-28       Impact factor: 13.382

Review 7.  Neuroimaging the Effectiveness of Substance Use Disorder Treatments.

Authors:  Elizabeth A Cabrera; Corinde E Wiers; Elsa Lindgren; Gregg Miller; Nora D Volkow; Gene-Jack Wang
Journal:  J Neuroimmune Pharmacol       Date:  2016-05-16       Impact factor: 4.147

8.  Individual Cortical Entropy Profile: Test-Retest Reliability, Predictive Power for Cognitive Ability, and Neuroanatomical Foundation.

Authors:  Mianxin Liu; Xinyang Liu; Andrea Hildebrandt; Changsong Zhou
Journal:  Cereb Cortex Commun       Date:  2020-05-07

Review 9.  Practical recommendations to conduct a neuroimaging meta-analysis for neuropsychiatric disorders.

Authors:  Masoud Tahmasian; Amir A Sepehry; Fateme Samea; Tina Khodadadifar; Zahra Soltaninejad; Nooshin Javaheripour; Habibolah Khazaie; Mojtaba Zarei; Simon B Eickhoff; Claudia R Eickhoff
Journal:  Hum Brain Mapp       Date:  2019-08-04       Impact factor: 5.038

Review 10.  Building a Science of Individual Differences from fMRI.

Authors:  Julien Dubois; Ralph Adolphs
Journal:  Trends Cogn Sci       Date:  2016-04-30       Impact factor: 20.229

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.