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Updated: May 15, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
Published on: October 13, 2023
Fiber pathways connecting cortical areas relevant for spatial orienting and exploration
Julia Suchan1, Roza Umarova, Susanne Schnell
1Division of Neuropsychology, Center of Neurology, Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.
Researchers mapped brain connections related to spatial attention in healthy adults. They identified pathways in the extreme capsule and longitudinal fascicles, revealing the perisylvian network crucial for spatial orienting.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Neuroimaging
Background:
- Spatial neglect, a deficit in spatial awareness, is often studied in stroke patients.
- Previous research identified cortical areas activated during spatial tasks that, when lesioned, cause spatial neglect.
Purpose of the Study:
- To investigate direct cortico-cortical connections between brain regions activated during a spatial neglect-like task in healthy subjects.
- To empirically validate the postulated perisylvian network for spatial orienting and attention in healthy individuals.
Main Methods:
- Probabilistic fiber-tracking was used in 52 healthy subjects.
- Functional activation data from a spatial neglect-like task (Himmelbach et al.) were used to define target regions.
Main Results:
- Direct connections were found between prefrontal cortex clusters and the superior temporal cortex and temporo-parietal junction (TPJ) via the extreme capsule (EmC) and middle longitudinal fascicle (MdLF).
- The TPJ activation peak was further connected to the inferior frontal cortex through the arcuate fascicle and superior longitudinal fascicle (SLF II) in the right hemisphere.
Conclusions:
- This study provides the first empirical evidence of the complete perisylvian network connecting key areas for spatial orienting and attention in healthy subjects.
- The findings complement patient studies by detailing the anatomical underpinnings of spatial attention networks.
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