Structural connectivity profile supports laterality of the salience network
Yaodan Zhang1, Xinjun Suo1, Hao Ding1,2
1From the Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China.
The salience network (SN) shows right-sided dominance in its core hubs, the frontoinsular cortex (FIC) and dorsal anterior cingulate cortex (dACC). This structural and functional laterality is stable across datasets and affected by aging.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Brain Imaging
Background:
- The salience network (SN) plays a crucial role in processing stimuli and network switching.
- Previous research suggests functional right-sided dominance of the SN, but its anatomical basis is not well understood.
Purpose of the Study:
- To investigate the structural connectivity between the frontoinsular cortex (FIC) and dorsal anterior cingulate cortex (dACC), core hubs of the SN.
- To determine if this structural connectivity exhibits right-hemisphere dominance, mirroring functional observations.
Main Methods:
- Utilized diffusion MRI and resting-state functional MRI (rfMRI) data from adult healthy volunteers.
- Analyzed data from independent datasets, including the Human Connectome Project and a local Chinese cohort.
- Examined structural and functional connectivity between the FIC and dACC.
Main Results:
- Confirmed stable right-sided laterality in both structural and functional connectivity between the FIC and dACC.
- Observed this right-sided dominance consistently across both independent cohorts.
- Identified a significant impact of aging on the integrity of the right FIC-dACC structural connectivity.
Conclusions:
- The structural organization of the salience network, specifically the FIC-dACC connections, is indeed right-hemisphere dominant.
- This finding provides anatomical evidence for the functional lateralization of the SN.
- Understanding this structural laterality may enhance comprehension of the SN's role in the healthy human brain and aging processes.
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