Protocol to predict time perception bias from cortical neurite microstructures in healthy older adults
Elveda Gozdas1, Trudy Kim1, Ali Rahimpour Jounghani1
1Computational Brain Research and Intervention (C-BRAIN) Laboratory, Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, USA.
STAR Protocols
|April 10, 2025
Summary
This study introduces a diffusion MRI protocol to analyze brain microstructure for understanding time perception. The method uses neurite imaging to predict timing biases, aiding research into aging and neurodegenerative diseases.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Medical Imaging
Background:
- Cortical microstructure is crucial for understanding time perception.
- Aging and neurodegenerative diseases impact timing abilities.
- Diffusion MRI offers insights into brain tissue microstructure.
Purpose of the Study:
- To present a protocol for identifying brain regions involved in time perception using diffusion MRI.
- To correlate cortical microstructural measures with time perception.
- To develop a predictive model for time perception bias.
Main Methods:
- Multi-shell diffusion MRI (dMRI) data acquisition and processing.
- Application of Neurite Orientation Dispersion and Density Imaging (NODDI) modeling.
- Support Vector Regression (SVR) for predicting time perception bias.
Main Results:
- Quantification of cortical neurite microstructure parameters.
- Identification of brain regions associated with time perception.
- Successful prediction of time perception bias using dMRI-derived microstructural data.
Conclusions:
- The developed dMRI protocol effectively links cortical microstructure to time perception.
- This method can be applied to study aging and neurodegenerative conditions affecting timing.
- Neurite microstructural patterns are valuable biomarkers for time perception deficits.
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