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Individual Variability in Brain Activity: A Nuisance or an Opportunity?
John Darrell Van Horn1, Scott T Grafton, Michael B Miller
1Laboratory of Neuro Imaging, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90025 USA , Fax (310) 206-5518 jvanhorn@loni.ucla.edu.
Brain Imaging and Behavior
|September 25, 2009
Summary
Individual brain scans reveal unique activity patterns often missed in group averages. Advances in MRI allow for detailed analysis of individual brain function, aiding in normative comparisons and understanding variability.
Area of Science:
- Neuroimaging
- Cognitive Neuroscience
- Functional MRI
Background:
- Population-level inference in functional imaging research can obscure individual brain activity patterns.
- Recent MRI hardware advancements enhance the stability and reproducibility of blood oxygen level dependent (BOLD) signals.
Purpose of the Study:
- To explore the potential of individual-level brain scan analysis.
- To detail objectives including fine-grained functional anatomy mapping, normative scan determination, and understanding intersubject variability.
- To review historical context and recent trends in analyzing individual brain activity.
Main Methods:
- Review of recent trends in functional neuroimaging data analysis.
- Focus on individual-level analysis of blood oxygen level dependent (BOLD) signals.
- Discussion of methodologies for assessing individual brain activity patterns.
Main Results:
- Individual-level analysis enables fine-grained mapping of functional anatomy.
- It allows for determining if an individual's brain scan is normative compared to a reference population.
- This approach aids in understanding the sources of intersubject variability in brain activity.
Conclusions:
- Individual-focused neuroimaging analysis offers unique opportunities to study brain function.
- International collaboration, particularly among Pacific Rim investigators, is emphasized for understanding individual differences.
- Future research should leverage enhanced MRI capabilities for personalized neuroscience insights.

