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Measures for validation of DTI tractography [PDF]
SPIE Proceedings, 2012 The evaluation of analysis methods for diffusion tensor imaging (DTI) remains challenging due to the lack of gold standards and validation frameworks. Significant work remains in developing metrics for comparing fiber bundles generated from streamline tractography.
Sylvain Gouttard +3 more
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Brain and Behavior, 2021 Background Transection‐induced axonal retrograde degeneration, in contrast to Wallerian degeneration, has not been widely recognized in clinical practice.
Yusuke Osaki +3 more
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Diffusion tensor imaging reveals sex differences in pain sensitivity of rats
Frontiers in Molecular Neuroscience, 2023 Studies on differences in brain structure and function according to sex are reported to contribute to differences in behavior and cognition. However, few studies have investigated brain structures or used tractography to investigate gender differences in
Myeounghoon Cha +10 more
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NeuroImage, 2018 Tractography based on diffusion-weighted MRI investigates the large scale arrangement of the neurite fibers in brain white matter. It is usually assumed that the signal is a convolution of a fiber specific response function (FRF) with a fiber orientation distribution (FOD). The FOD is the focus of tractography.
Lidia Konopleva +6 more
openaire +4 more sources
Frontiers in Neuroanatomy, 2015 Diffusion tensor imaging (DTI) and tractography offer the unique possibility to visualize the developing white matter macroanatomy of the human fetal brain in vivo and in utero and are currently under investigation for their potential use in the ...
Christian eMitter +11 more
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NeuroImage, 2022 Diffusion magnetic resonance imaging (dMRI) tractography has played a critical role in characterizing patterns of aberrant brain network reorganization among patients with epilepsy.
Ezequiel Gleichgerrcht +9 more
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Scientific Reports, 2023 Since 2015, research groups have sought to produce the ne plus ultra of tractography algorithms using the ISMRM 2015 Tractography Challenge as evaluation. In particular, since 2017, machine learning has made its entrance into the tractography world.
Emmanuelle Renauld +4 more
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Motor Evoked Potentials Improve Targeting in Deep Brain Stimulation Surgery
Neuromodulation: Technology at the Neural Interface, EarlyView., 2021 Abstract Objectives One of the main challenges posed by the surgical deep brain stimulation (DBS) procedure is the successful targeting of the structures of interest and avoidance of side effects, especially in asleep surgery. Here, intraoperative motor evoked potentials (MEPs) might serve as tool to identify the pyramidal tract.
Petyo Nikolov +7 more
wiley +1 more source
NeuroImage, 2023 Diffusion MRI (dMRI) tractography is the only tool for non-invasive mapping of macroscopic structural connectivity over the entire brain. Although it has been successfully used to reconstruct large white matter tracts in the human and animal brains, the ...
Zifei Liang +3 more
doaj +1 more source
Neuromodulation: Technology at the Neural Interface, EarlyView., 2021 Abstract Objectives Obsessive–compulsive disorder (OCD) is a psychiatric disorder with alterations of cortico‐striato‐thalamo‐cortical loops and impaired performance monitoring. Electrophysiological markers such as conflict‐related medial frontal theta (MFT) and error‐related negativity (ERN) may be altered by clinically effective deep brain ...
Elena Sildatke +9 more
wiley +1 more source