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Fiber up-sampling and quality assessment of tractograms - towards quantitative brain connectivity
2016
Brain and Behavior
Preserved Fulltext
Nevertheless, deriving a reliable quantification of connectivity strength between different brain areas is still a challenge. ...
Nevertheless, deriving a reliable quantification of connectivity strength between different brain areas is still a challenge. ...
This complicates the estimation of reliable tractograms and thus the extraction of biologically meaningful connectivity measures between brain areas which are a crucial requirement for an accurate, quantitative ...
doi:10.1002/brb3.588
pmid:28127510
pmcid:PMC5256175
fatcat:kd5gubdhnrdctfo3jwwbdd2xim
Network analysis shows decreased ipsilesional structural connectivity in glioma patients
[article]
2021
medRxiv
pre-print
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Here, we used network measures to characterize gliomarelated decreases in structural connectivity by comparing the ipsi- with the contralesional hemispheres of patients and correlated findings with neurological ...
We found that lesion location resulted in differential impairment of both short and long 30 connectivity patterns. ...
Subsequently, the whole-brain tractograms were filtered to 10'000'000 streamlines with spherical-deconvolution . ...
doi:10.1101/2021.06.22.21259319
fatcat:iupa4ais5nd2dg2f54swgkwqai
Groupwise Track Filtering via Iterative Message Passing and Pruning,
2020
NeuroImage
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Tractography is an important tool for the in vivo analysis of brain connectivity based on diffusion MRI data, but it also has well-known limitations in false positives and negatives for the faithful reconstruction ...
We first formalize our groupwise concept with a flexible definition that characterizes the consistency of a track with respect to other group members based on three important aspects: degree, affinity, ...
Data used in this paper were partly provided by the Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904) and DOD ADNI (Department of Defense award number ...
doi:10.1016/j.neuroimage.2020.117147
pmid:32673747
pmcid:PMC7780547
fatcat:wzhwhrmtendmfffywpvuicdb24
Microstructural changes in the reward system are associated with post-stroke depression
2020
NeuroImage: Clinical
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Subnetworks of decreased FA-weighted and increased FW-weighted connectivity were observed in patients with PSD relative to healthy controls. ...
The study enrolled 16 healthy controls, 12 stroke patients with PSD and 34 stroke patients free of PSD. Participants underwent 3T structural and diffusion MRI. ...
Acknowledgements The authors thank the coordinators of the King's Hyperacute Stroke Research Centre for their help with identifying and recruiting patients, and the manager and staff of the NIHR Wellcome ...
doi:10.1016/j.nicl.2020.102360
pmid:32795963
pmcid:PMC7426585
fatcat:zy2wiv2yonbkfm4n3ic7nvi53i
Quantitative mapping of the brain's structural connectivity using diffusion MRI tractography: a review
[article]
2021
arXiv
pre-print
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In this paper, we provide a high-level overview of how tractography is used to enable quantitative analysis of the brain's structural connectivity in health and disease. ...
Over the last two decades, the study of brain connectivity using dMRI tractography has played a prominent role in the neuroimaging research landscape. ...
CHY is grateful to the Ministry of Science and Technology of Taiwan (MOST 109-2222-E-182-001-MY3) for the support. ...
arXiv:2104.11644v1
fatcat:l3ixpcwu7jb7zcqo2sm5pswmja
Diagnosis and Prognosis Using Machine Learning Trained on Brain Morphometry and White Matter Connectomes
[article]
2018
bioRxiv
pre-print
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Here we tested the utility of structural MRI and diffusion MRI as imaging markers of AD using high-throughput brain phenotyping including morphometry and white-matter structural connectome (whole-brain ...
This study indicates promising utility of multimodal MRI, particularly structural connectome, combined with high-throughput brain phenotyping and machine learning analytics to extract salient features ...
This study was supported by NIMH K01 MH109836 (Cha), Brain and Behavior Research Foundation NARSAD Young Investigator award (Cha), Korean Scientists and Engineers Association Young Investigator Grant ( ...
doi:10.1101/255141
fatcat:cfvsbvqmxnf27keulvxyt5d6pm
Subtle white matter alterations in schizophrenia identified with a new measure of fiber density
2019
Scientific Reports
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Altered cerebral connectivity is one of the core pathophysiological mechanism underlying the development and progression of information-processing deficits in schizophrenia. ...
FD and FA maps were derived from diffusion data of 25 healthy controls (HC) and 21 patients with schizophrenia (SZ). ...
However, the reliable extraction of quantitative measures from tractograms across different populations remains challenging. ...
doi:10.1038/s41598-019-40070-2
pmid:30874571
pmcid:PMC6420505
fatcat:527qh2sfxza2lj423ffo7fnvda
A population-based atlas of the human pyramidal tract in 410 healthy participants
2018
Brain Structure and Function
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Introduction One of the challenges in the human brain connectomic field is to improve our knowledge about major long-range white matter (WM) connections and to link them with behavioral measurements, clinical ...
., 2017) , each tractogram was built using constrained-spherical deconvolution and particle-filter tractography with anatomical priors (Girard et al., 2014) . ...
doi:10.1007/s00429-018-1798-7
pmid:30460551
fatcat:2hcklsws5bc3jivsruhxneetw4
Diagnosis and Prognosis Using Machine Learning Trained on Brain Morphometry and White Matter Connectomes
[article]
2018
bioRxiv
pre-print
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Here we tested the utility of commonly available multimodal MRI (T1-weighted structure and diffusion MRI), combined with high-throughput brain phenotyping-morphometry and connectomics-and machine learning ...
Accurate, reliable prediction of risk for Alzheimers disease (AD) is essential for early, disease-modifying therapeutics. ...
This study was supported by NIMH K01 MH109836 (Cha), Brain and Behavior Research Foundation NARSAD Young Investigator award (Cha), Korean Scientists and Engineers Association Young Investigator Grant ( ...
doi:10.1101/407601
fatcat:bskcwpjihzg67nvdr4422vg6ve
An afferent white matter pathway from the pulvinar to the amygdala facilitates fear recognition
2019
eLife
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Critically, individuals with greater fibre density in this pathway also had stronger dynamic coupling and enhanced fearful face recognition. ...
Our findings provide converging evidence for the recruitment of an afferent subcortical pulvinar connection to the amygdala that facilitates fear recognition.Editorial note: This article has been through ...
For example, a structure located deep within the brain called the amygdala is connected to other parts of the brain that regulate hormones, senses and muscles. ...
doi:10.7554/elife.40766
pmid:30648533
pmcid:PMC6335057
fatcat:siw4huqfxzedldl5po25vn25gm
A probabilistic atlas of the human pyramidal tract in 410 healthy participants
[article]
2018
biorxiv/medrxiv
pre-print
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Here, we combined a precise manual positioning of individual subcortical regions of interest along the descending pathway of the PyT with a new bundle-specific tractography algorithm. ...
We then extracted both left and right PyT in a large cohort of 410 healthy participants and built a probabilistic atlas of the whole-fanning PyT with a complete description of its most cortico-lateral ...
Introduction One of the challenges in the human brain connectomic field is to improve our knowledge about major long-range white matter (WM) connections and to link them with behavioral measurements, clinical ...
doi:10.1101/251108
fatcat:vhujcyegx5h27ajdzn5ffjzdlm
A registration method for improving quantitative assessment in probabilistic diffusion tractography
2019
NeuroImage
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Diffusion MRI-based probabilistic tractography is a powerful tool for non-invasively investigating normal brain architecture and alterations in structural connectivity associated with disease states. ...
We then developed a method for tract alignment that enhances the existing standard whole brain registration, and then tested whether this method improved the reliability of groupwise contrasts. ...
Waugh was supported by the Clinical Research Training Fellowship, American Academy of Neurology, and the Silverman Family Fellowship, Bachmann-Strauss Dystonia and Parkinson Foundation. ...
doi:10.1016/j.neuroimage.2018.12.057
pmid:30611874
pmcid:PMC6790978
fatcat:7dtyicfk3bghvaixggbfvnwoiq
The ENIGMA Toolbox: Cross-disorder integration and multiscale neural contextualization of multisite neuroimaging datasets
[article]
2020
bioRxiv
pre-print
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Our Toolbox equips scientists with tutorials to explore molecular, histological, and network correlates of noninvasive neuroimaging markers of brain disorders. ...
yielded some of the largest studies of the healthy and diseased brain. ...
The authors would like to express their gratitude to the open science initiatives that made this work possible: (i) The ENIGMA Consortium (
DECLARATION OF INTEREST The authors declare no competing ...
doi:10.1101/2020.12.21.423838
fatcat:attlmrhftzhtbp4csnq4pthgni
Mapping Short Association Fibers in the Early Cortical Visual Processing Stream Using In Vivo Diffusion Tractography
2020
Cerebral Cortex
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Short association fibers (U-fibers) connect proximal cortical areas and constitute the majority of white matter connections in the human brain. ...
This study demonstrates a robust U-fiber connectivity mapping in vivo and is an important step toward construction of a more complete human brain connectome. ...
Conflict of Interest: The Max Planck Institute for Human Cognitive and Brain Sciences has an institutional research agreement with Siemens Healthineers. ...
doi:10.1093/cercor/bhaa049
pmid:32297628
pmcid:PMC7325803
fatcat:i4ha7rw6hncfbo4mf6etwox5su
Genetic influences on hub connectivity of the human connectome
[article]
2020
bioRxiv
pre-print
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Brain network hubs are both highly connected and highly inter-connected, forming a critical communication backbone for coherent neural dynamics. ...
Together, our findings indicate that genetic influences on brain connectivity are not uniformly distributed throughout the brain, but are instead concentrated on the functionally valuable, metabolically ...
The resulting tractogram was then combined with the cortical parcellation for each subject to produce a network map of white matter connectivity. ...
doi:10.1101/2020.06.21.163915
fatcat:rnsvjbqsgfclplnphiitwmxncy
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