Tracing short connections of the temporo-parieto-occipital region in the human brain using diffusion spectrum imaging and fiber dissection

2016 ◽  
Vol 1646 ◽  
pp. 152-159 ◽  
Author(s):  
Yupeng Wu ◽  
Dandan Sun ◽  
Yong Wang ◽  
Yunjie Wang ◽  
Yibao Wang
Keyword(s):  
Human Brain ◽  
Occipital Region ◽  
Diffusion Spectrum Imaging ◽  
Fiber Dissection ◽  
Spectrum Imaging

Accelerated diffusion spectrum imaging in the human brain using compressed sensing

2011 ◽  
Vol 66 (5) ◽  
pp. 1226-1233 ◽  
Author(s):  
Marion I. Menzel ◽  
Ek T. Tan ◽  
Kedar Khare ◽  
Jonathan I. Sperl ◽  
Kevin F. King ◽  
...  
Keyword(s):  
Compressed Sensing ◽  
Human Brain ◽  
Diffusion Spectrum Imaging ◽  
Spectrum Imaging

A Two-Fiber Anisotropic Constitutive Model of Human Brain With Intravoxel Heterogeneity of Fiber Orientation Using Diffusion Spectrum Imaging (DSI)

2014 ◽  
Author(s):  
Harsha T. Garimella ◽  
Hao Yuan ◽  
Brian D. Johnson ◽  
Semyon L. Slobounov ◽  
Reuben H. Kraft
Keyword(s):  
Constitutive Model ◽  
Human Brain ◽  
Computational Modeling ◽  
Brain Tissue ◽  
Fiber Orientation ◽  
Constitutive Models ◽  
The United States ◽  
Diffusion Spectrum Imaging ◽  
Macro Scale ◽  
Spectrum Imaging

Sports-related concussion is a major public health problem in the United States that is estimated to occur in 1.6–3.8 million individuals annually, and is particularly common in football. Despite the significance and growing concerns about the potential long-term consequences of concussion, its biomechanical mechanisms are not fully understood. Since 1970’s computational head modeling has proved to be an efficient tool for establishment of health injury criteria and studies on head injury mitigation. One important step in the computational modeling of the human head is to develop the mathematical material models (constitutive models) for the tissue. There have been many attempts to develop an accurate constitutive model for brain tissue. Recent experimental studies have highlighted the significant influence of axonal fibers on the non-linear and anisotropic behavior of brain tissue. Tractography based on diffusion tensor imaging (DTI) has been used in various previous studies to develop a constitutive model for human brain by including the anisotropic properties. Though DTI provides a macro scale information about the axonal fibers in the brain, it cannot directly describe multiple fiber orientations within a single voxel. To address this limitation within the DTI tractography, Diffusion Spectrum imaging (DSI), a variant of Diffusion Weighted Imaging, is used. DSI is generally used in deriving connectome sets and is sensitive to intravoxel heterogeneities of fiber orientation in diffusion direction caused by crossing fiber tracts and thus allowing for more accurate mapping of axonal trajectories than other diffusion methods. Thus more accurate constitutive models can be developed from the structural information about the human brain using DSI. This paper extends, the anisotropic constitutive models developed previously, for two family of fibers which will be useful in the computational modeling of the human brain using DSI.

The uncinate fasciculus as observed using diffusion spectrum imaging in the human brain

2016 ◽  
Vol 58 (6) ◽  
pp. 595-606 ◽  
Author(s):  
Bing Leng ◽  
Siyuan Han ◽  
Yijun Bao ◽  
Hongliang Zhang ◽  
Yong Wang ◽  
...  
Keyword(s):  
Human Brain ◽  
Uncinate Fasciculus ◽  
Diffusion Spectrum Imaging ◽  
Spectrum Imaging

scholarly journals Cortex-sparing fiber dissection: an improved method for the study of white matter anatomy in the human brain

2011 ◽  
Vol 219 (4) ◽  
pp. 531-541 ◽  
Author(s):  
Juan Martino ◽  
Philip C. De Witt Hamer ◽  
Francesco Vergani ◽  
Christian Brogna ◽  
Enrique Marco de Lucas ◽  
...  
Keyword(s):  
White Matter ◽  
Human Brain ◽  
Improved Method ◽  
Fiber Dissection ◽  
White Matter Anatomy

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.

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