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Updated: Jun 16, 2026
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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
Published on: November 8, 2012
Dissociable connectivity within human angular gyrus and intraparietal sulcus: evidence from functional and structural
Lucina Q Uddin1, Kaustubh Supekar, Hitha Amin
1Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94304, USA. lucina@stanford.edu
Cerebral Cortex (New York, N.Y. : 1991)
|February 16, 2010
Summary
The human inferior parietal lobule (IPL) shows distinct functional connectivity. Subregions like the angular gyrus (AG) and intraparietal sulcus (IPS) connect to different brain networks, impacting cognition.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Brain Connectivity
Background:
- The inferior parietal lobule (IPL) is crucial for visuospatial attention, memory, and mathematical cognition.
- Understanding the connectivity of IPL subdivisions is vital for interpreting neuroimaging studies.
Purpose of the Study:
- To delineate the functional and structural connectivity profiles of distinct subregions within the IPL.
- To provide a framework for understanding IPL heterogeneity in cognitive tasks.
Main Methods:
- Used probabilistic cytoarchitectonic maps to define regions-of-interest (ROIs) in the angular gyrus (AG) and intraparietal sulcus (IPS).
- Conducted resting-state functional connectivity analyses and diffusion tensor imaging (DTI) tractography.
Main Results:
- The AG subregions (PGa, PGp) showed differential connectivity with basal ganglia, prefrontal cortex, and default mode network regions.
- IPS subregions (hIP2, hIP1, hIP3) exhibited distinct connections with premotor, frontal, visual, and insular areas.
- Tractography confirmed structural connections mirroring functional connectivity patterns.
Conclusions:
- Cytoarchitectonically defined IPL subdivisions possess unique functional connectivity profiles.
- These findings highlight the functional heterogeneity within the IPL, crucial for cognitive neuroscience research.
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