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Updated: Dec 11, 2025

Large-scale Three-dimensional Imaging of Cellular Organization in the Mouse Neocortex
Published on: September 5, 2018
Hierarchical cortical gradients in somatosensory processing.
Noam Saadon-Grosman1, Shahar Arzy2, Yonatan Loewenstein3
1Department of Medical Neurobiology, Faculty of Medicine, The Hebrew University, 9112001 Jerusalem, Israel.
Hierarchical processing streams in the human somatosensory cortex were identified using functional MRI. Selectivity and laterality of neural responses decrease along distinct anatomical pathways, suggesting parallel information processing.
Area of Science:
- Neuroscience
- Sensory Processing
- Human Brain Imaging
Background:
- Visual and auditory cortices exhibit distinct processing streams.
- Hierarchical organization is a known property of cortical streams.
- The organization of somatosensory hierarchies across the cortex remains unclear.
Purpose of the Study:
- To investigate large-scale hierarchical organization in the human somatosensory cortex.
- To determine if somatosensory processing follows a stream-like principle similar to other sensory domains.
- To map hierarchical gradients using functional magnetic resonance imaging (fMRI).
Main Methods:
- Utilized phase-encoded bilateral full-body light touch stimulation in healthy humans.
- Employed functional MRI (fMRI) to measure blood-oxygen-level-dependent (BOLD) responses.
- Quantified neural response selectivity and laterality to assess hierarchical organization.
Main Results:
- Selectivity and laterality of BOLD responses decreased along three distinct anatomical directions: parietal, frontal, and medial.
- These declines indicate hierarchical gradients extending away from the central sulcus.
- Findings suggest a large-scale hierarchical organization within the somatosensory cortex.
Conclusions:
- The identified hierarchical gradients support the existence of distinct somatosensory processing streams.
- These streams are analogous to those found in the visual and auditory cortices.
- The findings contribute to understanding the large-scale organization of sensory information processing in the human brain.
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