Co-analysis of brain structure and function using fMRI and diffusion-weighted imaging.

Area of Science:

• Neuroscience
• Computational Neuroscience
• Medical Imaging

Background:

• Brain mapping is crucial for understanding complex computational systems.
• Functional roles of brain areas are defined by their connections.
• Existing methods like Diffusion Tensor Imaging (DTI) have limitations in resolving complex fiber tracts.

Purpose of the Study:

• To present a novel, non-invasive MRI approach for relating brain structure and function.
• To illustrate the method's application in visual attention and face perception.
• To overcome limitations of DTI in mapping brain connectivity.

Main Methods:

• Utilizing diffusion-weighted imaging (DWI) with diffusion spectrum imaging (DSI) for high-resolution water molecule diffusion tracking.
• Employing fiber tractography to visualize long-range white-matter fiber tracts.
• Combining structural imaging data with functional imaging data.

Main Results:

• The novel approach accurately reproduces known neuroanatomy with high precision.
• Diffusion Spectrum Imaging (DSI) with 257 directions surpasses DTI in resolving complex fiber configurations.
• Tractography confirmed anatomical connections between co-active brain areas in visual attention and face perception tasks.

Conclusions:

• The developed DWI method provides detailed brain "circuit diagrams" on an individual basis.
• This technique supports the hypothesis that co-active brain areas form functional networks.
• The approach enables monitoring of task-relevant brain activity within specific neural networks.