scholarly journals Harnessing digital technology to predict, diagnose, monitor, and develop treatments for brain disorders

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Clare Stroud ◽  
Jukka-Pekka Onnela ◽  
Husseini Manji
2019 ◽  
Vol 42 ◽  
Author(s):  
John P. A. Ioannidis

AbstractNeurobiology-based interventions for mental diseases and searches for useful biomarkers of treatment response have largely failed. Clinical trials should assess interventions related to environmental and social stressors, with long-term follow-up; social rather than biological endpoints; personalized outcomes; and suitable cluster, adaptive, and n-of-1 designs. Labor, education, financial, and other social/political decisions should be evaluated for their impacts on mental disease.


2010 ◽  
Vol 20 (1) ◽  
pp. 9-13 ◽  
Author(s):  
Glenn Tellis ◽  
Lori Cimino ◽  
Jennifer Alberti

Abstract The purpose of this article is to provide clinical supervisors with information pertaining to state-of-the-art clinic observation technology. We use a novel video-capture technology, the Landro Play Analyzer, to supervise clinical sessions as well as to train students to improve their clinical skills. We can observe four clinical sessions simultaneously from a central observation center. In addition, speech samples can be analyzed in real-time; saved on a CD, DVD, or flash/jump drive; viewed in slow motion; paused; and analyzed with Microsoft Excel. Procedures for applying the technology for clinical training and supervision will be discussed.


2020 ◽  
Author(s):  
Holly E. Oemke ◽  
Leslie Schlachter ◽  
Joshua Bederson
Keyword(s):  

2018 ◽  
Vol 40 (2) ◽  
pp. 595-614
Author(s):  
Seung Jun Oh ◽  
Koang Chul Wi
Keyword(s):  

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