ArticleHuman brain mapping2016
In vivo MRI signatures of hippocampal subfield pathology in intractable epilepsy.
Article in Human brain mapping, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.
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Who cites it
34 citing papers in PubMed, 1 synthesis or guideline pooled it, 79 citations in OpenAlex.
- Ex vivo ultra-high field magnetic resonance imaging of human epileptogenic specimens from primarily the temporal lobe: A systematic review.Neuroradiology · 2025Pooled it
- Pediatric Epilepsy Surgery: The Noninvasive Presurgical Evaluation.Pediatric neurosurgery · 2026Review
- Towards precision MRI biomarkers in epilepsy with normative modelling.Brain : a journal of neurology · 2025Review
- Bridging neuro-biomarkers and MR imaging: The synergistic role of glial fibrillary acidic protein in early CNS disease diagnosis.IBRO neuroscience reports · 2025Review
- Morphological and Functional Alterations in the CA1 Pyramidal Neurons of the Rat Hippocampus in the Chronic Phase of the Lithium-Pilocarpine Model of Epilepsy.International journal of molecular sciences · 2024Article
- Hippocampal microscopic fractional anisotropy is reduced in temporal lobe epilepsy.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Diagnostic performance of synthetic relaxometry for predicting neurodevelopmental outcomes in premature infants: a feasibility study.European radiology · 2023Article
- Cortical microstructural gradients capture memory network reorganization in temporal lobe epilepsy.Brain : a journal of neurology · 2023Article
- Longitudinal hippocampal diffusion-weighted imaging and T2 relaxometry demonstrate regional abnormalities which are stable and predict subfield pathology in temporal lobe epilepsy.Epilepsia open · 2023Article
- Pentad: A reproducible cytoarchitectonic protocol and its application to parcellation of the human hippocampus.Frontiers in neuroanatomy · 2023Article
- Automated detection of hippocampal sclerosis using real-world clinical MRI images.Frontiers in neuroscience · 2023Article
- High-resolution atlasing and segmentation of the subcortex: Review and perspective on challenges and opportunities created by machine learning.NeuroImage · 2022Review
- Combined quantitative T2 mapping and [European radiology · 2022Article
- Multimodal magnetic resonance imaging reveals distinct sensitivity of hippocampal subfields in asymptomatic stage of Alzheimer's disease.Frontiers in aging neuroscience · 2022Article
- Hippocampal subfield volumetry from structural isotropic 1 mmHuman brain mapping · 2021Review
- Ex vivo mesoscopic diffusion MRI correlates with seizure frequency in patients with uncontrolled mesial temporal lobe epilepsy.Human brain mapping · 2020Article
- Hippocampal sclerosis without visually detectable hippocampal MRI abnormalities: automated subfield volumetric analysis.Japanese journal of radiology · 2020Article
- Simultaneous FDG-PET/MRI detects hippocampal subfield metabolic differences in AD/MCI.Scientific reports · 2020Article
- Voxel-Based Morphometry-from Hype to Hope. A Study on Hippocampal Atrophy in Mesial Temporal Lobe Epilepsy.AJNR. American journal of neuroradiology · 2020Article
- Hippocampal profiling: Localized magnetic resonance imaging volumetry and T2 relaxometry for hippocampal sclerosis.Epilepsia · 2020Article
Corrections and comments
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Authors and funding
15 authors at 5 institutions in 1 country.
Funding
Abstract
objectivesOur aim is to assess the subfield-specific histopathological correlates of hippocampal volume and intensity changes (T1, T2) as well as diff!usion MRI markers in TLE, and investigate the efficacy of quantitative MRI measures in predicting histopathology in vivo. EXPERIMENTAL
designWe correlated in vivo volumetry, T2 signal, quantitative T1 mapping, as well as diffusion MRI parameters with histological features of hippocampal sclerosis in a subfield-specific manner. We made use of on an advanced co-registration pipeline that provided a seamless integration of preoperative 3 T MRI with postoperative histopathological data, on which metrics of cell loss and gliosis were quantitatively assessed in CA1, CA2/3, and CA4/DG. PRINCIPAL OBSERVATIONS: MRI volumes across all subfields were positively correlated with neuronal density and size. Higher T2 intensity related to increased GFAP fraction in CA1, while quantitative T1 and diffusion MRI parameters showed negative correlations with neuronal density in CA4 and DG. Multiple linear regression analysis revealed that in vivo multiparametric MRI can predict neuronal loss in all the analyzed subfields with up to 90% accuracy.
conclusionOur results, based on an accurate co-registration pipeline and a subfield-specific analysis of MRI and histology, demonstrate the potential of MRI volumetry, diffusion, and quantitative T1 as accurate in vivo biomarkers of hippocampal pathology.
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Registered trials
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.