Literature DB >> 27836100

Clinical Advances From a Computational Approach to Anxiety.

Daniel S Pine1.   

Abstract

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Mesh：

Year:  2016        PMID： 27836100      PMCID： PMC6346215          DOI： 10.1016/j.biopsych.2016.09.020

Source DB:  PubMed          Journal:  Biol Psychiatry        ISSN： 0006-3223            Impact factor:   13.382


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  5 in total

Review 1.  Modeling anxiety in healthy humans: a key intermediate bridge between basic and clinical sciences.

Authors:  Christian Grillon; Oliver J Robinson; Brian Cornwell; Monique Ernst
Journal:  Neuropsychopharmacology       Date:  2019-06-21       Impact factor: 7.853

2.  Computational Evidence for Underweighting of Current Error and Overestimation of Future Error in Anxious Individuals.

Authors:  Jonathon R Howlett; Wesley K Thompson; Martin P Paulus
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2019-12-24

3.  Computational Modeling Applied to the Dot-Probe Task Yields Improved Reliability and Mechanistic Insights.

Authors:  Rebecca B Price; Vanessa Brown; Greg J Siegle
Journal:  Biol Psychiatry       Date:  2018-10-05       Impact factor: 13.382

4.  Mapping infant neurodevelopmental precursors of mental disorders: How synthetic cohorts & computational approaches can be used to enhance prediction of early childhood psychopathology.

Authors:  Joan Luby; Norrina Allen; Ryne Estabrook; Daniel S Pine; Cynthia Rogers; Sheila Krogh-Jespersen; Elizabeth S Norton; Lauren Wakschlag
Journal:  Behav Res Ther       Date:  2019-09-26

5.  Investigating functional brain network integrity using a traditional and novel categorical scheme for neurodevelopmental disorders.

Authors:  Dina R Dajani; Catherine A Burrows; Paola Odriozola; Adriana Baez; Mary Beth Nebel; Stewart H Mostofsky; Lucina Q Uddin
Journal:  Neuroimage Clin       Date:  2019-01-17       Impact factor: 4.881
  5 in total

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