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In a companion paper by Cohen-Adad et al. we introduce the spine generic quantitative MRI protocol that provides valuable metrics for assessing spinal cord macrostructural and microstructural integrity. This protocol was used to acquire a single subject dataset across 19 centers and a multi-subject dataset across 42 centers (for a total of 260 participants), spanning the three main MRI manufacturers: GE, Philips and Siemens. Both datasets are publicly available via git-annex. Data were analysed using the Spinal Cord Toolbox to produce normative values as well as inter/intra-site and inter/intra-manufacturer statistics. Reproducibility for the spine generic protocol was high across sites and manufacturers, with an average inter-site coefficient of variation of less than 5% for all the metrics. Full documentation and results can be found at https://spine-generic.rtfd.io/ . The datasets and analysis pipeline will help pave the way towards accessible and reproducible quantitative MRI in the spinal cord.
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http://dx.doi.org/10.1038/s41597-021-00941-8 | DOI Listing |
Int J Plant Anim Environ Sci
August 2025
Department of Translational Research, College of Osteopathic Medicine of the Pacific, Western University of Health Sciences, Pomona, CA 91766, USA.
Neurological disorders, such as Alzheimer's disease, Parkinson's disease, epilepsy, spinal cord injuries, and traumatic brain injuries, represent substantial global health challenges due to their chronic and often progressive nature. While allopathic medicine offers a range of pharmacological interventions aimed at managing symptoms and mitigating disease progression, it is accompanied by limitations, including adverse side effects, the development of drug resistance, and incomplete efficacy. In parallel, phytochemicals-bioactive compounds derived from plants-are receiving increased attention for their potential neuroprotective, antioxidant, and anti-inflammatory properties.
View Article and Find Full Text PDFFront Rehabil Sci
August 2025
Department of Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, CA, United States.
Introduction: Spinal cord injury (SCI) presents a significant burden to patients, families, and the healthcare system. The ability to accurately predict functional outcomes for SCI patients is essential for optimizing rehabilitation strategies, guiding patient and family decision making, and improving patient care.
Methods: We conducted a retrospective analysis of 589 SCI patients admitted to a single acute rehabilitation facility and used the dataset to train advanced machine learning algorithms to predict patients' rehabilitation outcomes.
Brain Spine
January 2025
Department of Neurosurgery, Oslo University Hospital, Oslo, Norway.
Purpose: Isolated spinal aneurysms (iSAs) are rare, with an uncertain natural history and no established treatment guidelines. Multiple iSAs are even more uncommon, complicating treatment decisions.
Methods: This study reports a case of a ruptured radiculo-pial artery aneurysm in a patient with multiple iSAs, treated with surgical excision, assisted by intraoperative neurophysiological monitoring (IONM).
Front Neurosci
August 2025
First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Background: Spinal cord injury (SCI) often leads to severe motor and sensory impairments, and current treatment methods have not achieved complete neural repair. In recent years, exosomes have become a research focus in the treatment of nerve injuries due to their important roles in intercellular information transfer, immune regulation, and neural repair. Our study conducts a scientometric analysis to map the research landscape related to exosomes in SCI.
View Article and Find Full Text PDFMed Phys
September 2025
Department of Accelerator and Medical Physics, National Institutes for Quantum Science and Technology (QST), Chiba, Japan.
Background: Multi-ion radiotherapy using carbon, oxygen, and neon ions aims to improve local control by increasing dose-averaged linear energy transfer (LET) in the target. However, there has been limited understanding of how to utilize variables for multi-ion treatment planning such as the selection and arrangement of ion species.
Purpose: An in silico study was conducted to explore the feasibility of increasing a minimum LET, and the optimal selection and arrangement of ion species in multi-ion therapy for increasing LET in tumors of varying sizes mimicking bone and soft tissue sarcomas (BSTS).