Article
Geochemistry & Geophysics
A. T. Krzyzak, W. Mazur, A. Fheed, W. P. Weglarz
Summary: This study explores the application of diffusion tensor imaging (DTI) in the characterization of rock core samples, demonstrating its potential in studying the pore space characteristics through analysis of DT parameters and visualization results. The introduction of a new parameter, principal diffusion tracts, provides additional information to understand the microgeometry of the sample's pore network. The study also showcases the potential applications of DTI in determining pore size distribution, tortuosity, and conductivity.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2022)
Article
Clinical Neurology
C. A. de Planque, J. M. G. Florisson, R. C. Tasker, B. F. M. Rijken, M. L. C. van Veelen, I. M. J. Mathijssen, M. H. Lequin, M. H. G. Dremmen
Summary: This study aimed to compare white matter tract diffusivity values in non-operated syndromic craniosynostosis patients aged 0-2 years with healthy controls. The results indicated that age and frontal occipital horn ratio significantly influenced radial diffusivity.
Article
Orthopedics
Qi Zhao, Rees P. Ridout, Jikai Shen, Nian Wang
Summary: The study found that the direction and strength of diffusion gradients have significant influences on diffusion tensor imaging and fiber tracking in various connective tissues of the knee joint. Ligaments showed higher FA values compared to other tissues, while MD was less sensitive to angular resolution. Fiber tracking failed at low angular resolution or high b values, and measurements of fiber length and volume were highly dependent on angular resolution and b value.
Article
Health Care Sciences & Services
Sung Ho Jang, Min Jye Cho
Summary: This study investigated the relationship between the nigrostriatal tract (NST) and the corticospinal tract (CST) with motor function in chronic hemiparetic stroke patients. The results showed a strong positive correlation between the tract volume of ipsilesional NST and fractional anisotropy and the tract volume of ipsilesional CST with the Motricity Index score. The study also found that NST indirectly influenced the motor function of affected extremities through CST.
Article
Rehabilitation
Sung Ho Jang, Min Kyeong Cho
Summary: This study investigated the relationship between recovery of contralesional ankle weakness and the corticospinal tract and corticoreticular tract in stroke patients with complete injuries of the ipsilesional corticospinal tract and corticoreticular tract. The study found that the number of fibers in the contralesional corticoreticular tract was closely related to the recovery of contralesional ankle dorsiflexor weakness, and the relationship of the contralesional corticospinal tract with recovery was weaker.
AMERICAN JOURNAL OF PHYSICAL MEDICINE & REHABILITATION
(2022)
Article
Neuroimaging
Ivana Kancheva, Floor Buma, Gert Kwakkel, Angelina Kancheva, Nick Ramsey, Mathijs Raemaekers
Summary: This study aimed to assess secondary white matter degeneration after ischemic stroke and found that it spreads along the entire damaged tract and worsens over time.
NEUROIMAGE-CLINICAL
(2022)
Article
Computer Science, Artificial Intelligence
Alexis Reymbaut, Alex Valcourt Caron, Guillaume Gilbert, Filip Szczepankiewicz, Markus Nilsson, Simon K. Warfield, Maxime Descoteaux, Benoit Scherrer
Summary: Diffusion tensor imaging provides increased sensitivity to microstructural tissue changes compared to conventional anatomical imaging, but presents limited specificity. To address this issue, the DIAMOND model subdivides voxel content into diffusion compartments and estimates compartmental non-central matrix-variate Gamma distributions of diffusion tensors. Incorporating tensor-valued diffusion encoding, the Magic DIAMOND model demonstrates improved accuracy in estimating brain microstructural features, particularly in regions of fiber crossing.
MEDICAL IMAGE ANALYSIS
(2021)
Article
Geriatrics & Gerontology
Chun Yen Kok, Christine Lock, Ting Yao Ang, Nicole C. Keong
Summary: The study demonstrates that the semi-automated pseudo-atlas DTI tractography method is reliable and reproducible across different cohorts, generating the majority of fiber tracts. Although there are significant differences in DTI metrics obtained from both methods, the white matter injury patterns produced are consistent with literature findings.
FRONTIERS IN AGING NEUROSCIENCE
(2022)
Article
Medicine, General & Internal
Jeong Pyo Seo, Dong Kyun Koo
Summary: This study used diffusion tensor tractography to investigate the effects of middle cerebral artery infarction on the nigrostriatal tract (NST). The results showed that infarction can lead to damage to the ipsilesional NST, impairing one's ability to control unwanted muscular contractions or voluntary movement.
Article
Neurosciences
Wojciech Pietrasik, Ivor Cribben, Fraser Olsen, Nikolai Malykhin
Summary: This study used diffusion tensor imaging (DTI) tractography to investigate the effects of age, sex, and intracranial volume (ICV) on the superficial white matter (WM) within different subregions of the prefrontal cortex (PFC). The results showed age-related decreases in FA, tract volume, and fiber counts, as well as increases in all diffusivity measures. The effects of age were most pronounced in medial tracts, while the lateral orbitofrontal tracts were less affected. The study also found significant effects of sex and ICV on certain parameters.
Article
Endocrinology & Metabolism
Jikai Shen, Qi Zhao, Yi Qi, Gary Cofer, G. Allan Johnson, Nian Wang
Summary: This study used diffusion MRI to evaluate the three-dimensional collagen fiber architecture of porcine meniscus. By using automatic segmentation methods and diffusion tensor imaging metrics, the differences in diffusion properties between different parts and zones were revealed, and the structure of collagen fibers was visualized using tractography.
FRONTIERS IN ENDOCRINOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Xin Wang, Lei Luo, Jianming Xing, Jianliang Wang, Bimin Shi, Yin-Min Li, Yong-Gang Li
Summary: The study demonstrated that DTI is effective in evaluating the diagnostic accuracy of diabetic peripheral neuropathy and can effectively differentiate between axonal injury and demyelination, showing correlations with electrophysiology parameters.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2022)
Review
Biology
Fatemeh Rashidi, Mohammad Hossein Khanmirzaei, Farbod Hosseinzadeh, Zahra Kolahchi, Niloofar Jafarimehrabady, Bardia Moghisseh, Mohammad Hadi Aarabi
Summary: This article reviews the use of diffusion tensor imaging (DTI) in evaluating white matter microstructure changes in Parkinson's disease patients, specifically within two fiber tracts. It also examines how these changes may be related to cognitive impairments in advanced PD patients and provides insight for developing targeted treatments.
Editorial Material
Medicine, General & Internal
Giulio Vara, Gianmarco Tuzzato, Giuseppe Bianchi, Marco Miceli, Luca Spinardi, Rita Golfieri, Raffaella Rinaldi, Giancarlo Facchini
Summary: Brachial plexus injuries are commonly diagnosed clinically, and diffusion tensor imaging (DTI) shows promise in studying peripheral nerves. Deterministic fiber tracking and multishell acquisition are novel advances in the field.
Article
Clinical Neurology
Fengzhao Zhu, Yulong Wang, Xiangchuang Kong, Yuan Liu, Lian Zeng, Xirui Jing, Sheng Yao, Kaifang Chen, Lian Yang, Xiaodong Guo
Summary: The combination of conventional MRI with DTI-DTT is a valid diagnostic approach for acute traumatic cervical SCI. Lower intramedullary lesion length and intramedullary hemorrhage length, and higher fractional anisotropy value and connection rates of fiber tractography are linked to better neurological outcomes.
EUROPEAN SPINE JOURNAL
(2022)
Article
Rheumatology
E. Kozora, C. M. Filley, D. Erkan, A. M. Ulug, A. Vo, G. Ramon, A. Burleson, R. D. Zimmerman, M. D. Lockshin
Article
Clinical Neurology
Dilek Betul Arslan, Hakan Gurvit, Ozan Genc, Ani Kicik, Kardelen Eryurek, Sevim Cengiz, Emel Erdogdu, Zerrin Yildirim, Zeynep Tufekcioglu, Aziz Mufit Ulug, Basar Bilgic, Hasmet Hanagasi, Erdem Tuzun, Tamer Demiralp, Esin Ozturk-Isik
JOURNAL OF NEURAL TRANSMISSION
(2020)
Article
Engineering, Biomedical
Ali Demir, Mehmed Ozkan, Aziz M. Ulug
Summary: The study aims to identify distinct characteristics of brain white matter in bipolar disorder, proposing a new global measurement method. Results indicate that macro-structural dispersion information is significant for discrimination of bipolar patients from healthy controls.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Katharina A. Schindlbeck, Deepak K. Gupta, Chris C. Tang, Sarah A. O'Shea, Kathleen L. Poston, Yoon Young Choi, Vijay Dhawan, Jean-Paul Vonsattel, Stanley Fahn, David Eidelberg
Summary: The automated image-based algorithm can help improve diagnostic accuracy during the period of clinical uncertainty in patients with Parkinson's disease.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Shichun Peng, Chris Tang, Katharina Schindlbeck, Yaacov Rydzinski, Vijay Dhawan, Phoebe G. Spetsieris, Yilong Ma, David Eidelberg
Summary: The study found that using F-18-FPCIT PET can help evaluate metabolic patterns in Parkinson's disease patients, with similar effects to F-18-FDG PET, while also assessing dopamine transporter binding in the striatum. Results showed that PD patients had higher PDRP subject scores and lower DAT binding, while PDCP scores correlated with disease duration, F-18-FDG PET measurements, and DAT binding.
JOURNAL OF NUCLEAR MEDICINE
(2021)
Article
Neurosciences
An Vo, Katharina A. Schindlbeck, Nha Nguyen, Andrea Rommal, Phoebe G. Spetsieris, Chris C. Tang, Yoon Young Choi, Martin Niethammer, Vijay Dhawan, David Eidelberg
Summary: Functional imaging is widely used to identify disease-specific networks in neurodegenerative disorders. In Parkinson's disease, network assortativity increases over time, with high assortativity associated with clinically aggressive genetic variants and low assortativity associated with genes related to slow progression.
Article
Clinical Neurology
Tomaz Rus, Katharina A. Schindlbeck, Chris C. Tang, An Vo, Vijay Dhawan, Maja Trost, David Eidelberg
Summary: The study aimed to explore the relationship between the two brain networks, PDRP and PDCP, in patients with Parkinson's disease, finding a predominance of PDRP over PDCP which can aid in differential diagnosis and tracking disease progression in different types of Parkinson's disease.
MOVEMENT DISORDERS
(2022)
Review
Clinical Neurology
Matej Perovnik, Tomaz Rus, Katharina A. Schindlbeck, David Eidelberg
Summary: Network analytical tools are used to study brain diseases by analyzing imaging maps. Specific networks can be identified and validated, allowing for quantitative assessment of pathway changes over time and during treatment. Network abnormalities can be identified before symptoms and used to track disease progression and treatment efficacy. The development of analogous methods for functional MRI has expanded the application of network tools to diverse patient populations.
NATURE REVIEWS NEUROLOGY
(2023)
Article
Neurosciences
An Vo, Nha Nguyen, Koji Fujita, Katharina A. Schindlbeck, Andrea Rommal, Susan B. Bressman, Martin Niethammer, David Eidelberg
Summary: Primary dystonia is caused by abnormal functional relationships between basal ganglia and cerebellar motor circuits. Resting-state functional MRI (rs-fMRI) can provide unique information on the anatomy of abnormal brain circuits, and it is found that networks involving basal ganglia, cerebellum, thalamus, sensorimotor areas, and cortical association regions are elevated in hereditary and sporadic dystonia. The expression of these networks is correlated with dystonia motor ratings and can improve the accuracy of predictions for new treatments.
Correction
Clinical Neurology
Matej Perovnik, Tomaz Rus, Katharina A. A. Schindlbeck, David Eidelberg
NATURE REVIEWS NEUROLOGY
(2023)
Article
Clinical Neurology
Martin Niethammer, Chris C. C. Tang, Roland Dominic G. Jamora, An Vo, Nha Nguyen, Yilong Ma, Shichun Peng, Jeff L. Waugh, Ana Westenberger, David Eidelberg
Summary: The objective of this study was to characterize a metabolic brain network associated with X-linked dystonia-parkinsonism (XDP). PET scans were conducted on Filipino men with XDP and healthy men without the condition. The results showed that XDP is associated with abnormal functional connectivity in the brain.
ANNALS OF NEUROLOGY
(2023)
Article
Neuroimaging
Phoebe G. Spetsieris, David Eidelberg
Summary: Notable progress has been made in the study of neurodegenerative diseases using reduction techniques such as principal component analysis (PCA) and sparse inverse covariance estimation (SICE) in positron emission tomography (PET) data. In a recent study on Parkinson's disease (PD) patients, SICE combined with PCA was used to optimize maps of functional metabolic connectivity and identify key regional hubs and their connections in the brain. This approach revealed a core subnetwork that remained consistent across PD patients and could serve as a target for disease modification.
NEUROIMAGE-CLINICAL
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Sevim Cengiz, Dilek Betul Arslan, Ani Kicik, Emel Erdogdu, Muhammed Yildirim, Gokce Hale Hatay, Zeynep Tufekcioglu, Aziz Mufit Ulug, Basar Bilgic, Hasmet Hanagasi, Tamer Demiralp, Hakan Gurvit, Esin Ozturk-Isik
Summary: This study investigated the metabolic changes of mild cognitive impairment in Parkinson's disease using proton magnetic resonance spectroscopic imaging. The results revealed metabolic alterations in specific brain regions in PD-MCI patients, which were associated with cognitive dysfunction.
MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE
(2022)
Meeting Abstract
Clinical Neurology
W. Luo, L. Le, A. M. Ulug, A. Mazhari, N. K. Pinter, S. Magda, R. K. Haxton, R. Melton, C. Airriess
MULTIPLE SCLEROSIS JOURNAL
(2020)
Article
Neurosciences
Aysegul Sarsilmaz, Zeynep Firat, Aziz M. Ulug, Geysu Karlikaya, Canan Aykut Bingol, Andac Hamamci, Ilhami Kovanlikaya
NEUROLOGICAL SCIENCES AND NEUROPHYSIOLOGY
(2018)