Direct modulation of aberrant brain network connectivity through real-time NeuroFeedback

Area of Science:

• Neuroscience
• Neuroimaging
• Clinical Psychology

Background:

• Abnormal connectivity in resting state networks is characteristic of Autism Spectrum Disorder (ASD).
• Current ASD treatments do not address underlying aberrant brain network structures.
• Specific brain nodes show aberrant connectivity correlating with ASD symptom severity.

Purpose of the Study:

• To investigate the efficacy of real-time fMRI neurofeedback in directly training brain nodes in individuals with ASD.
• To determine if neurofeedback can induce long-term changes in resting state network connectivity.
• To explore the correlation between altered network connectivity and behavioral changes in ASD.

Main Methods:

• Real-time functional Magnetic Resonance Imaging (fMRI) neurofeedback was used to train three specific brain nodes in participants with ASD.
• Network connectivity patterns were reinforced in real-time, unbeknownst to the participants.
• Whole brain analysis was conducted to assess changes in connectivity and identify targeted areas.

Main Results:

• The neurofeedback regimen induced significant, long-term changes in network-level connectivity correlations in the ASD group.
• The most substantial changes were observed in the brain areas targeted for training.
• No significant changes in connectivity were observed in the control group.
• Changes in resting state connectivity following neurofeedback correlated with behavioral improvements in ASD.

Conclusions:

• Real-time fMRI neurofeedback can effectively and directly modify complex, clinically relevant brain network connectivity patterns in ASD.
• This approach offers a novel therapeutic avenue for ASD by targeting aberrant neural structures.
• The observed correlation between network changes and behavioral improvements highlights the potential of neurofeedback as an intervention for ASD.