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Objective: As advances are made in quantitative magnetic resonance imaging, specifically diffusion tensor imaging, researchers have investigated its potential to serve as a biomarker of disease or prognosticator for postoperative recovery in the management of cervical spondylotic myelopathy. Here, we narratively review the current state of the emerging literature, describing areas of consensus and disagreement.
Methods: In accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, we queried 2 large databases for original manuscripts published in English and systematically produced a narrative review of the use of diffusion tensor imaging in the management of cervical spondylotic myelopathy.
Results: Of the 437 manuscripts initially returned in our query, 29 met the final inclusion criteria, and data were extracted regarding diffusion tensor imaging indices and their relationships with clinical outcomes following surgery. Preoperative fractional anisotropy was most commonly found to correlate closely with postsurgical clinical outcomes, though results were mixed.
Conclusions: Preoperative fractional anisotropy most frequently and best correlates with functional outcomes following surgery for cervical spondylotic myelopathy, according to a review of the current literature. The findings were not universal and at times contradictory, highlighting the need for high-quality future investigations to better define the utility of diffusion tensor imaging in spinal disease.
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http://dx.doi.org/10.1016/j.wneu.2024.07.032 | DOI Listing |
Br J Neurosurg
September 2025
Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK.
Introduction: Radiosurgery targeting the thalamus has long been used to treat refractory pain, with medial thalamotomy as a key approach. Traditionally, targeting relied on indirect methods based on anatomical atlases, which do not account for individual variations in brain connectivity. Recent advances in connectomic-guided stereotactic radiosurgery have improved precision in the treatment of movement disorders, but their application to pain management remains underexplored.
View Article and Find Full Text PDFParkinsonism Relat Disord
September 2025
Translational and Clinical Research Institute, Newcastle University, UK.
Introduction: Dysfunction of the glymphatic system is thought to lead to build up of toxic proteins including β-amyloid and α-synuclein, and thus may be involved in dementia with Lewy bodies (DLB) and Alzheimer's disease (AD). The Diffusion Tensor Image Analysis Along the Perivascular Space (DTI-ALPS) index has been proposed as a marker of glymphatic function.
Aims: To investigate DTI-ALPS in mild cognitive impairment (MCI) and dementia, and determine its relationship with cognitive decline, and biomarkers of neurodegeneration.
Front Hum Neurosci
August 2025
Signal Processing Laboratory (LTS5), École Polytechnique Féderale de Lausanne (EPFL), Lausanne, Switzerland.
Introduction: Absence of language development is a condition encountered across a large range of neurodevelopmental disorders, including a significant proportion of children with autism spectrum disorder. The neurobiological underpinnings of non-verbal ASD (nvASD) remain poorly understood.
Methods: This study employed multimodal MRI to investigate white matter (WM) microstructural abnormalities in nvASD, focusing on language-related pathways.
Alzheimer's disease (AD) has become a great concern for society in general and clinicians specifically because of its high morbidity, relative lack of awareness of its characteristics, and low diagnosis and treatment rates. Worldwide, there is a lack of effective treatments for slowing the progression of AD in clinical practice. Thus, the management of patients in the preclinical phase of AD (PPAD) has been identified to be highly important for addressing this concern.
View Article and Find Full Text PDFCureus
August 2025
Internal Medicine, Nishtar Medical University, Multan, PAK.
This systematic review explores the application of advanced neuroimaging techniques, diffusion tensor imaging (DTI) and functional MRI (fMRI), in identifying early neural alterations in patients with cognitive impairment and neurodegenerative disorders. By synthesizing data from nine recent clinical studies, the review highlights the integration of structural and functional imaging in detecting subtle brain connectivity changes associated with conditions such as mild cognitive impairment (MCI), Parkinson's disease, Alzheimer's disease, and subjective cognitive decline (SCD). The findings suggest that specific imaging parameters, including fractional anisotropy and task-based functional deactivation, correlate strongly with cognitive outcomes and therapeutic responses.
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