Predictors of real-time fMRI neurofeedback performance and improvement – A machine learning mega-analysis

Overview of attention for article published in NeuroImage, May 2021

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In the top 25% of all research outputs scored by Altmetric
High Attention Score compared to outputs of the same age (89th percentile)
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RT @amhaugg: New paper out in @NeuroImage_EiC! In this project, we investigated the influence of 20 factors on real-time fMRI neurofeedback…

Open Access UCL Research: Predictors of real-time fMRI neurofeedback performance and improvement-A machine learning mega-analysis https://t.co/HQsYSRzVco

Duke Psychiatry researchers Dr. Alison Adcock & Dr. Katie Dickerson contributed to the 1st-ever #machinelearning mega-analysis to investigate predictors of real-time fMRI neurofeedback success: https://t.co/jHoklOVhg3

RT @amhaugg: New paper out in @NeuroImage_EiC! In this project, we investigated the influence of 20 factors on real-time fMRI neurofeedback…

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