ReviewQuantitative imaging in medicine and surgery2015
The potential role of novel diffusion imaging techniques in the understanding and treatment of epilepsy.
Review in Quantitative imaging in medicine and surgery, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.
- Microstructural white matter alterations associated with migraine headaches: a systematic review of diffusion tensor imaging studies.Brain imaging and behavior · 2022Pooled it
- Seizure freedom after surgical resection of diffusion-weighted magnetic resonance imaging abnormalities.Epilepsia · 2025Article
- Brain temperature and free water increases after mild COVID-19 infection.Scientific reports · 2024Article
- Neurite Damage in Patients with Migraine.Neurology international · 2024Article
- Down-sampling in diffusion MRI: a bundle-specific DTI and NODDI study.Frontiers in neuroimaging · 2024Article
- Characterization of white matter alterations using diffusion kurtosis imaging in patients with amyotrophic lateral sclerosis.Brain and behavior · 2023Article
- Acquisition and Analysis of Excised Neocortex from Pediatric Patients with Focal Cortical Dysplasia Using Mesoscale Diffusion MRI.Diagnostics (Basel, Switzerland) · 2023Article
- The Value of Various Post-Processing Modalities of Diffusion Weighted Imaging in the Detection of Multiple Sclerosis.Brain sciences · 2023Review
- Multimodal combination of neuroimaging methods for localizing the epileptogenic zone in MR-negative epilepsy.Scientific reports · 2022Article
- Test-retest reliability of diffusion kurtosis imaging metrics in the healthy adult brain.Neuroimage. Reports · 2022Article
- Application of advanced magnetic resonance imaging in glaucoma: a narrative review.Quantitative imaging in medicine and surgery · 2022Review
- Topological Characteristics Associated with Intraoperative Stimulation Related Epilepsy of Glioma Patients: A DTI Network Study.Brain sciences · 2021Article
- Article
- Nonlinear associations of neurite density and myelin content with age revealed using multicomponent diffusion and relaxometry magnetic resonance imaging.NeuroImage · 2020Article
- Dynamic tractography: Integrating cortico-cortical evoked potentials and diffusion imaging.NeuroImage · 2020Article
- Evaluation of multi-shell diffusion MRI acquisition strategy on quantitative analysis using multi-compartment models.Quantitative imaging in medicine and surgery · 2020Article
- Precision in pediatric epilepsy.F1000Research · 2019Review
- Monitoring Progressive Multiple Sclerosis with Novel Imaging Techniques.Neurology and therapy · 2018Review
- Brain morphological alteration and cognitive dysfunction in multiple system atrophy.Quantitative imaging in medicine and surgery · 2018Article
- Diffusion Kurtosis as an in vivo Imaging Marker of Early Radiation-Induced Changes in Radiation-Induced Temporal Lobe Necrosis in Nasopharyngeal Carcinoma Patients.Clinical neuroradiology · 2018Article
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1 author at 1 institution in 1 country.
Funding
Abstract
Epilepsy is a common neurological disorder in which magnetic resonance imaging plays a key role. Diffusion imaging based on the molecular diffusion of water has been widely used clinically and in research for patients with epilepsy. Diffusion tensor imaging (DTI), the most common model, has been used for around two decades. Several parameters can be derived from DTI that are sensitive, but non-specific, to underlying structural changes. DTI assumes a single diffusion process following a Gaussian distribution within each voxel and is thus an overly simplistic representation of tissue microstructure. Several more advanced models of diffusion are now available that may have greater utility in the understanding of the effects of epilepsy on tissue microstructure. In this review, I summarise the principles, applications in epilepsy and future potential of three such techniques. Diffusion kurtosis imaging (DKI) characterises the degree to which diffusion deviates from Gaussian behaviour and gives an idea of the underlying tissue complexity. It has been used in both focal and generalised epilepsy and seems more sensitive than DTI. Multi-compartment models separate the signal from extra- and intra-axonal compartments in each voxel. The Composite Hindered and Restricted Model of Diffusion (CHARMED) can characterise axonal density but has not yet been applied in patients with epilepsy. The Neurite Orientation Dispersion and Density Imaging (NODDI) model can determine the intracellular volume fraction (ICVF) and degree of dispersion of neurite orientation. Preliminary data suggest it may more sensitive than conventional and diffusion imaging in localising focal epilepsy.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.