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Updated: Jan 12, 2026

Visualization of Cortical Modules in Flattened Mammalian Cortices
Published on: January 22, 2018
Parallel systems for social and spatial cognition reaching the cortical apex
Ben Deen1,2, Winrich A Freiwald2
1Department of Psychology and Brain Institute, Tulane University, New Orleans, LA 70118.
The human brain organizes high-level cognition using distinct, parallel neural systems for understanding people and places. These domain-specific social and spatial networks are anatomically separated yet interconnected, reaching the cortical apex.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Neuroimaging
Background:
- High-level cognition involves complex processes like understanding people and places.
- The organization of neural systems supporting these cognitive functions remains an area of active research.
- Previous studies suggest domain-specific processing but lack detailed anatomical mapping.
Purpose of the Study:
- To investigate the hypothesis that distinct neural systems with parallel anatomical organization support cognitive processes for people and places.
- To map the precise anatomical and functional organization of these systems in individual human brains.
- To determine if these systems are domain-specific and how they connect within the broader cortical network.
Main Methods:
- Precision neuroimaging was used on individual human brains.
- Participants engaged in diverse tasks involving perception and cognition related to familiar people, places, and objects.
- Analysis focused on identifying distinct brain regions and their functional connectivity patterns.
Main Results:
- Thinking about people and places activates distinct areas within the default mode network's high-level association cortex.
- Person- and place-preferring brain regions are spatially adjacent across frontal, parietal, and temporal lobes.
- These networks exhibit domain-specific responses and functional connectivity, remaining anatomically separated at the cortical apex.
Conclusions:
- The human brain utilizes parallel, domain-specific neural networks for social and spatial cognition.
- These networks are anatomically segregated yet functionally integrated, extending to the highest levels of cortical organization.
- The findings demonstrate a fundamental organizational principle for high-level cognitive functions in the brain.
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