Literature DB >> 26823382

A Novel Feed-Forward Modeling System Leads to Sustained Improvements in Attention and Academic Performance.

Ashley F McDermott1, Maya Rose1, Troy Norris1, Eric Gordon1.   

Abstract

Objective: This study tested a novel feed-forward modeling (FFM) system as a nonpharmacological intervention for the treatment of ADHD children and the training of cognitive skills that improve academic performance. Method: This study implemented a randomized, controlled, parallel design comparing this FFM with a nonpharmacological community care intervention. Improvements were measured on parent- and clinician-rated scales of ADHD symptomatology and on academic performance tests completed by the participant. Participants were followed for 3 months after training.
Results: Participants in the FFM training group showed significant improvements in ADHD symptomatology and academic performance, while the control group did not. Improvements from FFM were sustained 3 months later.
Conclusion: The FFM appeared to be an effective intervention for the treatment of ADHD and improving academic performance. This FFM training intervention shows promise as a first-line treatment for ADHD while improving academic performance.

Entities:  

Keywords:  ADD/ADHD; academic performance; attention training; computer attention training; focused attention

Mesh:

Year:  2016        PMID: 26823382     DOI: 10.1177/1087054715623044

Source DB:  PubMed          Journal:  J Atten Disord        ISSN: 1087-0547            Impact factor:   3.256


  2 in total

1.  Efficacy of Online Intervention for ADHD: A Meta-Analysis and Systematic Review.

Authors:  Songting Shou; Shengyao Xiu; Yuanliang Li; Ning Zhang; Jinglong Yu; Jie Ding; Junhong Wang
Journal:  Front Psychol       Date:  2022-06-28

2.  A randomized controlled trial of a brain-computer interface based attention training program for ADHD.

Authors:  Choon Guan Lim; Xue Wei Wendy Poh; Shuen Sheng Daniel Fung; Cuntai Guan; Dianne Bautista; Yin Bun Cheung; Haihong Zhang; Si Ning Yeo; Ranga Krishnan; Tih Shih Lee
Journal:  PLoS One       Date:  2019-05-21       Impact factor: 3.240

  2 in total

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