Literature DB >> 26504676

The Promise of Neurotechnology in Clinical Translational Science.

Susan W White1, John A Richey1, Denis Gracanin1, Martha Ann Bell1, Stephen LaConte1, Marika Coffman1, Andrea Trubanova1, Inyoung Kim1.   

Abstract

Neurotechnology is broadly defined as a set of devices used to understand neural processes and applications that can potentially facilitate the brain's ability to repair itself. In the past decade, an increasingly explicit understanding of basic biological mechanisms of brain-related illnesses has produced applications that allow a direct yet noninvasive method to index and manipulate the functioning of the human nervous system. Clinical scientists are poised to apply this technology to assess, treat, and better understand complex socioemotional processes that underlie many forms of psychopathology. In this review, we describe the potential benefits and hurdles, both technical and methodological, of neurotechnology in the context of clinical dysfunction. We also offer a framework for developing and evaluating neurotechnologies that is intended to expedite progress at the nexus of clinical science and neural interface designs by providing a comprehensive vocabulary to describe the necessary features of neurotechnology in the clinic.

Entities:  

Keywords:  emotion regulation; neurotechnology; personalized medicine; psychopathology; translational science

Year:  2014        PMID: 26504676      PMCID: PMC4615684          DOI: 10.1177/2167702614549801

Source DB:  PubMed          Journal:  Clin Psychol Sci        ISSN: 2167-7034


  89 in total

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3.  Deliver us from evil? The temptation, realities, and neuroethico-legal issues of employing assessment neurotechnologies in public safety initiatives.

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Journal:  World J Biol Psychiatry       Date:  2011-03-23       Impact factor: 4.132

7.  The amygdala is enlarged in children but not adolescents with autism; the hippocampus is enlarged at all ages.

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Journal:  J Neurosci       Date:  2004-07-14       Impact factor: 6.167

8.  Training locked-in patients: a challenge for the use of brain-computer interfaces.

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Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2003-06       Impact factor: 3.802

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Authors:  Elizabeth A Felton; Justin C Williams; Gregg C Vanderheiden; Robert G Radwin
Journal:  Ergonomics       Date:  2012-04-16       Impact factor: 2.778

10.  A brain-computer interface based attention training program for treating attention deficit hyperactivity disorder.

Authors:  Choon Guan Lim; Tih Shih Lee; Cuntai Guan; Daniel Shuen Sheng Fung; Yudong Zhao; Stephanie Sze Wei Teng; Haihong Zhang; K Ranga Rama Krishnan
Journal:  PLoS One       Date:  2012-10-24       Impact factor: 3.240

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  6 in total

1.  Psychosocial and Computer-Assisted Intervention for College Students with Autism Spectrum Disorder: Preliminary Support for Feasibility.

Authors:  Susan W White; John A Richey; Denis Gracanin; Marika Coffman; Rebecca Elias; Stephen LaConte; Thomas H Ollendick
Journal:  Educ Train Autism Dev Disabil       Date:  2016-08-26

2.  Neural Mechanisms of Facial Emotion Recognition in Autism: Distinct Roles for Anterior Cingulate and dlPFC.

Authors:  John A Richey; Denis Gracanin; Stephen LaConte; Jonathan Lisinski; Inyoung Kim; Marika Coffman; Ligia Antezana; Corinne N Carlton; Katelyn M Garcia; Susan W White
Journal:  J Clin Child Adolesc Psychol       Date:  2022-04-27

3.  An optogenetics device with smartphone video capture to introduce neurotechnology and systems neuroscience to high school students.

Authors:  Liudi Luo; Bryce W Hina; Brennan W McFarland; Jillian C Saunders; Natalie Smolin; Catherine R von Reyn
Journal:  PLoS One       Date:  2022-05-06       Impact factor: 3.752

4.  Validating Biobehavioral Technologies for Use in Clinical Psychiatry.

Authors:  Alex S Cohen; Christopher R Cox; Raymond P Tucker; Kyle R Mitchell; Elana K Schwartz; Thanh P Le; Peter W Foltz; Terje B Holmlund; Brita Elvevåg
Journal:  Front Psychiatry       Date:  2021-06-11       Impact factor: 4.157

5.  Attention Modification to Attenuate Facial Emotion Recognition Deficits in Children with Autism: A Pilot Study.

Authors:  Andrea Trubanova Wieckowski; Susan W White
Journal:  J Autism Dev Disord       Date:  2020-01

6.  Trial by trial EEG based BCI for distress versus non distress classification in individuals with ASD.

Authors:  Safaa Eldeeb; Busra T Susam; Murat Akcakaya; Caitlin M Conner; Susan W White; Carla A Mazefsky
Journal:  Sci Rep       Date:  2021-03-16       Impact factor: 4.379

  6 in total

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