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Updated: Jan 22, 2026

Microdissection of Mouse Brain into Functionally and Anatomically Different Regions
Published on: February 15, 2021
Regions and Connections: Complementary Approaches to Characterize Brain Organization and Function.
Corey Horien1, Abigail S Greene1, R Todd Constable1,2,3
1Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT, USA.
Functional magnetic resonance imaging (fMRI) analysis involves region-based or connection-based methods. This study evaluates their strengths and limitations for understanding brain function and behavior.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Neuroimaging
Background:
- Functional magnetic resonance imaging (fMRI) is crucial for mapping human brain activity.
- Current analysis methods focus on regional properties or inter-regional interactions.
- The comparative utility of these approaches for studying neural processes remains unclear.
Purpose of the Study:
- To critically evaluate the strengths and limitations of region-based versus connection-based fMRI analysis.
- To explore the relative advantages of each method for understanding neurobiological relevance, brain-behavior relationships, and individual differences.
- To provide a framework for advancing the study of macroscale brain organization and its behavioral correlates.
Main Methods:
- Comparative analysis of region-based and connection-based fMRI metrics.
- Exploration of theoretical frameworks and illustrative examples.
- Discussion focused on neurobiological relevance, brain-behavior relationships, and individual differences.
Main Results:
- Region-based measures capture localized activity patterns.
- Connection-based measures reveal network interactions and communication.
- Both approaches offer complementary insights into brain organization and function.
Conclusions:
- Understanding the strengths and limitations of each fMRI analysis approach is vital.
- A combined or judicious selection of methods can enhance the study of brain-behavior relationships.
- This framework aids in a more comprehensive understanding of macroscale brain organization.
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