Review
Neuroimaging
Rahil Rahimi, Mahsa Dolatshahi, Fatemeh Abbasi-Feijani, Sara Momtazmanesh, Giulia Cattarinussi, Mohammad Hadi Aarabi, Lorenzo Pini
Summary: The pathophysiology of migraine as a headache disorder is still undetermined, but DTI studies have provided valuable insights into the microstructural changes associated with this disease. Alterations in diffusion parameters have been observed in various brain regions, including white matter tracts, subcortical areas, and the cortex. These changes show variability across migraine cycle phases, and are also observed in patients with depressive/anxiety symptoms. However, there are inconsistent findings regarding the differences between chronic and episodic migraine. Overall, migraine is associated with microstructural changes in widespread regions of the brain, which may reflect neuronal damage and plasticity mechanisms.
BRAIN IMAGING AND BEHAVIOR
(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
Anatomy & Morphology
Corentin Dauleac, Carole Frindel, Isabelle Pelissou-Guyotat, Celia Nicolas, Fang-Cheng Yeh, Juan Fernandez-Miranda, Francois Cotton, Timothee Jacquesson
Summary: Despite recent advancements in diffusion-weighted imaging, reconstructing tractograms of the spinal cord remains challenging, hindering routine clinical use. The new full tractography approach simplifies the process and offers a reliable 3D rendering of the spinal cord, aiding in adjusting neurosurgical strategies.
FRONTIERS IN NEUROANATOMY
(2022)
Article
Multidisciplinary Sciences
Philippe Poulin, Guillaume Theaud, Francois Rheault, Etienne St-Onge, Arnaud Bore, Emmanuelle Renauld, Louis de Beaumont, Samuel Guay, Pierre-Marc Jodoin, Maxime Descoteaux
Summary: TractoInferno is the largest open-source multi-site tractography database in the world, aimed at providing standardized training datasets and evaluation protocols for machine learning tractography approaches. It includes 284 samples from different sites, covering a wide range of data and algorithms for research and evaluation.
Review
Clinical Neurology
Weishi Liang, Bo Han, Yong Hai, Peng Yin, Yuxiang Chen, Congying Zou
Summary: The study on compressed lumbosacral nerve roots using diffusion tensor imaging (DTI) showed that reduced FA values and increased ADC values are valuable indicators for diagnosis and treatment planning. DTI with fiber tracking is more advanced than conventional MRI in visualizing and locating compression zones of nerve roots for surgical plans.
EUROPEAN SPINE JOURNAL
(2021)
Article
Neurosciences
Fang-Cheng Yeh, Andrei Irimia, Dhiego Chaves de Almeida Bastos, Alexandra J. Golby
Summary: This review discusses the challenges of anatomical accuracy in fiber tracking, explores the impact of different white matter pathways on tracking methods, and summarizes the pros and cons of commonly-used techniques. Additionally, it introduces the progress in clinical applications of tractography in patients with brain tumors and traumatic brain injury, highlighting current limitations and future directions for development.
Article
Radiology, Nuclear Medicine & Medical Imaging
Teodoro Martin-Noguerol, Rafael Barousse, Daniel E. Wessell, Ignacio Rossi, Antonio Luna
Summary: Diffusion tensor imaging (DTI) is an advanced MRI technique that provides pathophysiologic information and quantitative assessment of muscle microstructure, with the potential to become imaging biomarkers for skeletal muscle.
EUROPEAN RADIOLOGY
(2022)
Review
Pharmacology & Pharmacy
Piotr Podwalski, Krzysztof Szczygiel, Ernest Tyburski, Leszek Sagan, Blazej Misiak, Jerzy Samochowiec
Summary: DTI is an imaging technique that measures the diffusion of water molecules in tissues, helping to understand white matter integrity disorders and potentially leading to better methods of psychiatric diagnosis and treatment.
PHARMACOLOGICAL REPORTS
(2021)
Article
Multidisciplinary Sciences
Elke Lathouwers, Ahmed Radwan, Jeroen Blommaert, Lara Stas, Bruno Tassignon, Sabine D. Allard, F. De Ridder, E. De Waele, N. Hoornaert, P. Lacor, R. Mertens, Maarten Naeyaert, Hubert Raeymaekers, Lucie Seyler, A. M. Vanbinst, Lien Van Liedekerke, Jeroen Van Schependom, Peter Van Schuerbeek, Steven Provyn, Bart Roelands, Marie Vandekerckhove, R. Meeusen, Stefan Sunaert, G. Nagels, J. De Mey, Kevin De Pauw
Summary: COVID-19 can have negative impacts on the quality of life and induce neurological sequelae. This study reveals differences in structural brain connectivity and cognitive performance between former hospitalised COVID-19 patients and healthy controls.
SCIENTIFIC REPORTS
(2023)
Article
Veterinary Sciences
Kiyotaka Arai, Takamasa Itoi, Natsuki Akashi, Masahiro Miyabe, Keisuke Sugimoto, Akira Matsuda, Noritaka Maeta, Teppei Kanda, Kenji Kutara
Summary: This study performed diffusion tensor imaging (DTI) scans on adult Beagle dogs and analyzed DTI parameters in different regions. The results showed that DTI parameters significantly decreased in the caudal direction, but were not significantly correlated with vertebral levels. These findings contribute to the development of a clinical reference for evaluating spinal cord in dogs using DTI parameters.
VETERINARY SCIENCES
(2023)
Review
Clinical Neurology
Marta Rogalska, Lukasz Antkowiak, Marek Mandera
Summary: This study aimed to review the clinical utility and perspectives of diffusion tensor imaging (DTI) in the management of brainstem cavernous malformations (BSCMs). The results show that preoperative DTI can help adjust the surgical approach and choose a safe entry zone in deep-seated BSCMs, and postoperative DTI can indicate motor improvement. Qualitative DTI can predict intact neurological outcomes.
NEUROSURGICAL REVIEW
(2022)
Review
Radiology, Nuclear Medicine & Medical Imaging
Takumi Yokohama, Motoyuki Iwasaki, Daisuke Oura, Sho Furuya, Yoshimasa Niiya
Summary: In this study, it was confirmed that the DTI metrics are reversible, indicating no muscle injury occurred. Compression without fiber injury led to an increase in FA value due to strong alignment of fibers in the longitudinal direction.
Article
Clinical Neurology
Si-ping Luo, Fan-fan Chen, Han-wen Zhang, Fan Lin, Guo-dong Huang, Yi Lei
Summary: This study used DSI to quantitatively study the changes in the trigeminal cistern segment in patients with TN and found significant reductions in quantitative parameters on the affected side compared to the unaffected side. DSI, with its high-resolution fiber tracking technology, can provide valuable information about the integrity of trigeminal white matter in TN patients.
FRONTIERS IN NEUROLOGY
(2022)
Article
Neuroimaging
Jason Kai, Michael Mackinley, Ali R. Khan, Lena Palaniyappan
Summary: In this study, researchers investigated the frontal lobe U-shaped tracts in minimally treated patients with first-episode schizophrenia. They found that 3 out of 63 tracts showed localized aberrations in the early stage of the disease. These aberrations occur in untreated stages of psychosis regardless of symptom burden, and are distributed across critical functional networks associated with executive function and salience processing.
NEUROIMAGE-CLINICAL
(2023)
Article
Neurosciences
Johannes Gruen, Samuel Groeschel, Thomas Schultz
Summary: Tractography based on diffusion Magnetic Resonance Imaging (dMRI) is the prevalent approach to the in vivo delineation of white matter tracts in the human brain. We introduce two novel approaches to make multi-fiber tractography more stable by using spatial regularization. These methods represent the fiber Orientation Distribution Function (fODF) as a symmetric fourth-order tensor and recover multiple fiber orientations via low-rank approximation.