Open AccessIn vivo MRI signatures of hippocampal subfield pathology in intractable epilepsy
Author(s) -
Goubran Maged,
Bernhardt Boris C.,
CantorRivera Diego,
Lau Jonathan C.,
Blinston Charlotte,
Hammond Robert R.,
de Ribaupierre Sandrine,
Burneo Jorge G.,
Mirsattari Seyed M.,
Steven David A.,
Parrent Andrew G.,
Bernasconi Andrea,
Bernasconi Neda,
Peters Terry M.,
Khan Ali R.
Publication year - 2016
Publication title -
human brain mapping
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.005
H-Index - 191
eISSN - 1097-0193
pISSN - 1065-9471
DOI - 10.1002/hbm.23090
Subject(s) - hippocampal formation , in vivo , diffusion mri , hippocampal sclerosis , magnetic resonance imaging , gliosis , histopathology , pathology , hippocampus , epilepsy , medicine , neuroscience , chemistry , radiology , psychology , biology , temporal lobe , microbiology and biotechnology
Objectives Our 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 Design We 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. Conclusion Our 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. Hum Brain Mapp 37:1103–1119, 2016 . © 2015 Wiley Periodicals, Inc .