scholarly journals Association fibre pathways of the brain: parallel observations from diffusion spectrum imaging and autoradiography

Brain ◽  
2007 ◽  
Vol 130 (3) ◽  
pp. 630-653 ◽  
Author(s):  
J. D. Schmahmann ◽  
D. N. Pandya ◽  
R. Wang ◽  
G. Dai ◽  
H. E. D'Arceuil ◽  
...  
Keyword(s):  
Diffusion Spectrum Imaging ◽  
Spectrum Imaging ◽  
The Brain

scholarly journals Signal propagation via cortical hierarchies

2020 ◽  
Vol 4 (4) ◽  
pp. 1072-1090 ◽  
Author(s):  
Bertha Vézquez-Rodríguez ◽  
Zhen-Qi Liu ◽  
Patric Hagmann ◽  
Bratislav Misic
Keyword(s):  
Shortest Paths ◽  
Signal Propagation ◽  
Brain Regions ◽  
Hierarchical Organization ◽  
Attention Networks ◽  
Diffusion Spectrum Imaging ◽  
Cortical Hierarchy ◽  
Spectrum Imaging ◽  
Structural Networks ◽  
The Brain

The wiring of the brain is organized around a putative unimodal-transmodal hierarchy. Here we investigate how this intrinsic hierarchical organization of the brain shapes the transmission of information among regions. The hierarchical positioning of individual regions was quantified by applying diffusion map embedding to resting-state functional MRI networks. Structural networks were reconstructed from diffusion spectrum imaging and topological shortest paths among all brain regions were computed. Sequences of nodes encountered along a path were then labeled by their hierarchical position, tracing out path motifs. We find that the cortical hierarchy guides communication in the network. Specifically, nodes are more likely to forward signals to nodes closer in the hierarchy and cover a range of unimodal and transmodal regions, potentially enriching or diversifying signals en route. We also find evidence of systematic detours, particularly in attention networks, where communication is rerouted. Altogether, the present work highlights how the cortical hierarchy shapes signal exchange and imparts behaviorally relevant communication patterns in brain networks.

scholarly journals Signal propagation via cortical hierarchies

2020 ◽  
Author(s):  
Bertha Vázquez-Rodríguez ◽  
Zhen-Qi Liu ◽  
Patric Hagmann ◽  
Bratislav Mišić
Keyword(s):  
Shortest Paths ◽  
Signal Propagation ◽  
Brain Regions ◽  
Hierarchical Organization ◽  
Attention Networks ◽  
Diffusion Spectrum Imaging ◽  
Cortical Hierarchy ◽  
Spectrum Imaging ◽  
Structural Networks ◽  
The Brain

The wiring of the brain is organized around a putative unimodal-transmodal hierarchy. Here we investigate how this intrinsic hierarchical organization of the brain shapes the transmission of information among regions. The hierarchical positioning of individual regions was quantified by applying diffusion map embedding to resting state functional MRI networks. Structural networks were reconstructed from diffusion spectrum imaging and topological shortest paths among all brain regions were computed. Sequences of nodes encountered along a path were labelled by their hierarchical position, tracing out path motifs. We find that the cortical hierarchy guides communication in the network. Specifically, nodes are more likely to forward signals to nodes closer in the hierarchy and cover a range of unimodal and transmodal regions, potentially enriching or diversifying signals en route. We also find evidence of systematic detours, particularly in attention networks, where communication is re-routed. Altogether, the present work highlights how the cortical hierarchy shapes signal exchange and imparts behaviourally-relevant communication patterns in brain networks.

scholarly journals Exploring the Relationship between Gray and White Matter in Healthy Adults: A Hybrid Research of Cortical Reconstruction and Tractography

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yongxiang Zhao ◽  
Qianqian Li ◽  
Jiachen Du ◽  
Hongjian He ◽  
Peipeng Liang ◽  
...  
Keyword(s):  
White Matter ◽  
Brain Regions ◽  
Healthy Adults ◽  
Microstructural Properties ◽  
Diffusion Spectrum Imaging ◽  
Diffusion Parameters ◽  
Spectrum Imaging ◽  
Cortical Morphology ◽  
The Relationship ◽  
The Brain

The gray matter (GM) and white matter (WM) are structurally and functionally related in the human brain. Among the numerous neuroimaging studies, yet only a few have investigated these two structures in the same sample. So, there is limited and inconsistent information about how they are correlated in the brain of healthy adults. In this study, we combined cortical reconstruction with diffusion spectrum imaging (DSI) tractography to investigate the relationship between cortical morphology and microstructural properties of major WM tracts in 163 healthy young adults. The results showed that cortical thickness (CTh) was positively correlated with the coherent tract-wise fractional anisotropy (FA) value, and the correlation was stronger in the dorsal areas than in the ventral areas. For other diffusion parameters, CTh was positively correlated with axial diffusivity (AD) of coherent fibers in the frontal areas and negatively correlated with radial diffusivity (RD) of coherent fibers in the dorsal areas. These findings suggest that the correlation between GM and WM is inhomogeneity and could be interpreted with different mechanisms in different brain regions. We hope our research could provide new insights into the studies of diseases in which the GM and WM are both affected.

Different neural substrates for executive functions in youths with ADHD: a diffusion spectrum imaging tractography study

2016 ◽  
Vol 46 (6) ◽  
pp. 1225-1238 ◽  
Author(s):  
H.-L. Chiang ◽  
Y.-J. Chen ◽  
C.-Y. Shang ◽  
W.-Y. I. Tseng ◽  
S. S.-F. Gau
Keyword(s):  
White Matter ◽  
Executive Functions ◽  
White Matter Tracts ◽  
Fibre Tract ◽  
Diffusion Spectrum Imaging ◽  
Cingulum Bundle ◽  
Microstructural Property ◽  
Wide Range ◽  
Spectrum Imaging ◽  
Microstructural Integrity

BackgroundThe relationship between white-matter tracts and executive functions (EF) in attention deficit hyperactivity disorder (ADHD) has not been well studied and previous studies mainly focused on frontostriatal (FS) tracts. The authors explored the microstructural property of several fibre tracts hypothesized to be involved in EF, to correlate their microstructural property with EF, and to explore whether such associations differ between ADHD and typically developing (TD) youths.MethodWe assessed 45 youths with ADHD and 45 individually matched TD youths with a computerized test battery for multiple dimensions of EF. From magnetic resonance imaging, FS tract, superior longitudinal fasciculus (SLF), arcuate fasciculus (AF) and cingulum bundle (CB) were reconstructed by diffusion spectrum imaging tractography. The generalized fractional anisotropy (GFA) values of white-matter tracts were computed to present microstructural property of each tract.ResultsWe found lower GFA in the left FS tract, left SLF, left AF and right CB, and poorer performance in set-shifting, sustained attention, cognitive inhibition and visuospatial planning in ADHD than TD. The ADHD and TD groups demonstrated different association patterns between EF and fibre tract microstructural property. Most of the EF were associated with microstructural integrity of the FS tract and CB in TD youths, while with that of the FS tract, SLF and AF in youths with ADHD.ConclusionsOur findings support that the SLF, AF and CB also involve in a wide range of EF and that the main fibre tracts involved in EF are different in youths with ADHD.

Dependence of Scan Parameters on Nerve Fiber Crossing Depiction in Diffusion Spectrum Imaging in Clinical Practice

2018 ◽  
Vol 42 (4) ◽  
pp. 522-526
Author(s):  
Minghui Tang ◽  
Kazuya Oshinomi ◽  
Kinya Ishizaka ◽  
Khin Khin Tha ◽  
Toru Yamamoto
Keyword(s):  
Clinical Practice ◽  
Nerve Fiber ◽  
Diffusion Spectrum Imaging ◽  
Spectrum Imaging

scholarly journals Accelerated diffusion spectrum imaging with compressed sensing using adaptive dictionaries

2012 ◽  
Vol 68 (6) ◽  
pp. 1747-1754 ◽  
Author(s):  
Berkin Bilgic ◽  
Kawin Setsompop ◽  
Julien Cohen-Adad ◽  
Anastasia Yendiki ◽  
Lawrence L. Wald ◽  
...  
Keyword(s):  
Compressed Sensing ◽  
Diffusion Spectrum Imaging ◽  
Spectrum Imaging
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