Effective brain connectivity estimation between active brain regions in autism using the dual Kalman-based method.

Area of Science:

• Neuroscience
• Computational Neuroscience
• Biomedical Engineering

Background:

• Brain connectivity analysis is crucial for understanding brain function and diagnosing neurological disorders.
• Effective connectivity specifically examines causal relationships between brain regions.
• Autism Spectrum Disorder (ASD) is associated with altered brain connectivity patterns.

Purpose of the Study:

• To apply a dual Kalman-based method for effective brain connectivity estimation.
• To investigate differences in brain connectivity between autistic and neurotypical children during resting state.
• To validate the dual Kalman-based method against other connectivity estimation techniques.

Main Methods:

• A dual Kalman-based method was employed for effective connectivity estimation.
• The method was applied to resting-state brain signals from autistic and neurotypical children.
• Brain connectivity was calculated for eight distinct brain regions, both within and between regions.
• The dual Kalman-based method's estimation error was compared with other established methods.

Main Results:

• The dual Kalman-based method demonstrated acceptable performance with lower estimation errors compared to other methods.
• Autistic children exhibited decreased effective connectivity between brain regions and increased connectivity within regions during resting state.
• Connectivity analysis revealed higher connectivity between left and right central brain regions and lower connectivity in the occipital region.

Conclusions:

• The dual Kalman-based method is a reliable tool for effective connectivity estimation, showing promise in identifying neurological differences.
• Significant alterations in brain connectivity patterns, specifically decreased inter-regional and increased intra-regional connectivity, are characteristic of autistic children in a resting state.
• Specific brain regions, such as the central and occipital areas, display distinct connectivity profiles in autistic children compared to neurotypical individuals.