Emilio Artacho-Pérula1, Ricardo Insausti. 1. Human Neuroanatomy Laboratory, Department of Health Sciences, School of Medicine and Regional Center for Biomedical Investigation, University of Castilla-La Mancha, Albacete, Spain. emilio.artacho@uclm.es
Abstract
OBJECTIVE: To detect and quantify structural parameters in the entorhinal cortex (EC) of potential use in Alzheimer's disease (AD). STUDY DESIGN: We estimated by stereologic tools the total volume of the EC and subfields EI and ER, the number of neurons and the volume-weighted mean soma volume of layer II neurons. EC morphometric parameters were also assessed in both control and AD cases. RESULTS: In AD, EC volume decreased by 35%, while total number of neurons reached 51%. Also, neuron density had a significant decrease mainly due to change in the EI subfield (31% decrease). The EC showed a decrease in size and a morphology more elliptic and irregular. Moreover, layer II neurons soma size (volume, area, and 1-dimensional parameters) were more rounded. Thus the EC decreases in size and neuron number in AD and minor changes in number per volume were noted. CONCLUSION: These quantitative data can be of value in volumetric MRI studies in AD patients.
OBJECTIVE: To detect and quantify structural parameters in the entorhinal cortex (EC) of potential use in Alzheimer's disease (AD). STUDY DESIGN: We estimated by stereologic tools the total volume of the EC and subfields EI and ER, the number of neurons and the volume-weighted mean soma volume of layer II neurons. EC morphometric parameters were also assessed in both control and AD cases. RESULTS: In AD, EC volume decreased by 35%, while total number of neurons reached 51%. Also, neuron density had a significant decrease mainly due to change in the EI subfield (31% decrease). The EC showed a decrease in size and a morphology more elliptic and irregular. Moreover, layer II neurons soma size (volume, area, and 1-dimensional parameters) were more rounded. Thus the EC decreases in size and neuron number in AD and minor changes in number per volume were noted. CONCLUSION: These quantitative data can be of value in volumetric MRI studies in ADpatients.
Authors: Jan Oltmer; Natalya Slepneva; Josue Llamas Rodriguez; Douglas N Greve; Emily M Williams; Ruopeng Wang; Samantha N Champion; Melanie Lang-Orsini; Kimberly Nestor; Nídia Fernandez-Ros; Bruce Fischl; Matthew P Frosch; Caroline Magnain; Andre J W van der Kouwe; Jean C Augustinack Journal: Brain Commun Date: 2022-03-25
Authors: Josué Llamas-Rodríguez; Jan Oltmer; Douglas N Greve; Emily Williams; Natalya Slepneva; Ruopeng Wang; Samantha Champion; Melanie Lang-Orsini; Bruce Fischl; Matthew P Frosch; André J W van der Kouwe; Jean C Augustinack Journal: J Alzheimers Dis Date: 2022 Impact factor: 4.160
Authors: Paul L Wood; Tara Smith; Nina Lane; M Amin Khan; Greg Ehrmantraut; Dayan B Goodenowe Journal: Lipids Health Dis Date: 2011-12-05 Impact factor: 3.876
Authors: José Carlos Delgado-González; Francisco Mansilla-Legorburo; José Florensa-Vila; Ana María Insausti; Antonio Viñuela; Teresa Tuñón-Alvarez; Marcos Cruz; Alicia Mohedano-Moriano; Ricardo Insausti; Emilio Artacho-Pérula Journal: PLoS One Date: 2015-06-22 Impact factor: 3.240