OBJECT: The concept of selective amygdalohippocampectomy is based on pathophysiological insights into the epileptogenicity of the hippocampal region and the definition of the clinical syndrome of mesial temporal lobe epilepsy (TLE). High-resolution magnetic resonance (MR) imaging allows correlation of the site of histologically conspicuous tissue with anatomical structure. The highly variable sulcal pattern of the basal temporal lobe, however, definitely complicates the morphometric analysis of histomorphologically defined subdivisions of the hippocampal region. The goal of this study was to define individual variations in the sulcal anatomy on the basis of preoperative MR images obtained in patients suffering from TLE. METHODS: The authors analyzed coronal MR images obtained in 50 patients for the presence of and intrinsic relationships among the rhinal, collateral, and occipitotemporal sulci. The surface relief of consecutive sections of 100 temporal lobes was graphically outlined and the resulting maps were used for visual analysis. The sulci were characterized by measurement of their depth, distance to the temporal horn, and laterality. The anatomical measurements and frequencies of sulcal patterns were assessed for statistical correlation with patients' histories and the lateralization of the seizure focus. CONCLUSIONS: Statistical assessment shows that patient sex is a significant factor in sulcal patterns. Anatomical measurements are significantly decreased on the side of the seizure origin, which relates to loss of white matter, a known morphological abnormality associated with TLE. Magnetic resonance imaging allows for accurate preoperative knowledge of individual sulcal patterns and facilitates intraoperative orientation to anatomical landmarks.
OBJECT: The concept of selective amygdalohippocampectomy is based on pathophysiological insights into the epileptogenicity of the hippocampal region and the definition of the clinical syndrome of mesial temporal lobe epilepsy (TLE). High-resolution magnetic resonance (MR) imaging allows correlation of the site of histologically conspicuous tissue with anatomical structure. The highly variable sulcal pattern of the basal temporal lobe, however, definitely complicates the morphometric analysis of histomorphologically defined subdivisions of the hippocampal region. The goal of this study was to define individual variations in the sulcal anatomy on the basis of preoperative MR images obtained in patients suffering from TLE. METHODS: The authors analyzed coronal MR images obtained in 50 patients for the presence of and intrinsic relationships among the rhinal, collateral, and occipitotemporal sulci. The surface relief of consecutive sections of 100 temporal lobes was graphically outlined and the resulting maps were used for visual analysis. The sulci were characterized by measurement of their depth, distance to the temporal horn, and laterality. The anatomical measurements and frequencies of sulcal patterns were assessed for statistical correlation with patients' histories and the lateralization of the seizure focus. CONCLUSIONS: Statistical assessment shows that patient sex is a significant factor in sulcal patterns. Anatomical measurements are significantly decreased on the side of the seizure origin, which relates to loss of white matter, a known morphological abnormality associated with TLE. Magnetic resonance imaging allows for accurate preoperative knowledge of individual sulcal patterns and facilitates intraoperative orientation to anatomical landmarks.
Authors: Antoine Bouyeure; David Germanaud; Dhaif Bekha; Victor Delattre; Julien Lefèvre; Charlotte Pinabiaux; Jean-Francois Mangin; Denis Rivière; Clara Fischer; Catherine Chiron; Lucie Hertz-Pannier; Marion Noulhiane Journal: Front Neuroanat Date: 2018-11-15 Impact factor: 3.856
Authors: Bruce Fischl; Allison A Stevens; Niranjini Rajendran; B T Thomas Yeo; Douglas N Greve; Koen Van Leemput; Jonathan R Polimeni; Sita Kakunoori; Randy L Buckner; Jennifer Pacheco; David H Salat; Jennifer Melcher; Matthew P Frosch; Bradley T Hyman; P Ellen Grant; Bruce R Rosen; André J W van der Kouwe; Graham C Wiggins; Lawrence L Wald; Jean C Augustinack Journal: Neuroimage Date: 2009-04-16 Impact factor: 6.556
Authors: Antoine Legouhy; Olivier Commowick; Maïa Proisy; François Rousseau; Christian Barillot Journal: PLoS One Date: 2020-02-24 Impact factor: 3.240