Brain health in diverse settings: How age, demographics and cognition shape brain function

Autor: Hernan Hernandez, Sandra Baez, Vicente Medel, Sebastian Moguilner, Jhosmary Cuadros, Hernando Santamaria-Garcia, Enzo Tagliazucchi, Pedro A. Valdes-Sosa, Francisco Lopera, John Fredy OchoaGómez, Alfredis González-Hernández, Jasmin Bonilla-Santos, Rodrigo A. Gonzalez-Montealegre, Tuba Aktürk, Ebru Yıldırım, Renato Anghinah, Agustina Legaz, Sol Fittipaldi, Görsev G. Yener, Javier Escudero, Claudio Babiloni, Susanna Lopez, Robert Whelan, Alberto A Fernández Lucas, Adolfo M. García, David Huepe, Gaetano Di Caterina, Marcio Soto-Añari, Agustina Birba, Agustin Sainz-Ballesteros, Carlos Coronel, Eduar Herrera, Daniel Abasolo, Kerry Kilborn, Nicolás Rubido, Ruaridh Clark, Ruben Herzog, Deniz Yerlikaya, Bahar Güntekin, Mario A. Parra, Pavel Prado, Agustin Ibanez

Publikováno v: NeuroImage, Vol 295, Iss , Pp 120636- (2024)

Diversity in brain health is influenced by individual differences in demographics and cognition. However, most studies on brain health and diseases have typically controlled for these factors rather than explored their potential to predict brain sign

Externí odkaz: https://doaj.org/article/3fd707c85d1643439d79423eb0f761bd

Integration of eye-tracking systems with sport concussion assessment tool 5th edition for mild TBI and concussion diagnostics in neurotrauma: Building a framework for the artificial intelligence era

Autor: Augusto Müller Fiedler, Renato Anghinah, Fernando De Nigris Vasconcellos, Alexis A. Morell, Timoteo Almeida, Bernardo Assumpção de Mônaco, Joacir Graciolli Cordeiro

Publikováno v: Neuroscience Informatics, Vol 3, Iss 4, Pp 100147- (2023)

Traumatic Brain Injuries (TBIs), including mild TBI (mTBI) and concussions, affect an estimated 69 million individuals annually with significant cognitive, physical, and psychosocial consequences. The Sport Concussion Assessment Tool 5th Edition (SCA

Externí odkaz: https://doaj.org/article/4cd8fd0f77bc479b88e1ab73246f62d9

Cannabinoids in Neurology - Position paper from Scientific Departments from Brazilian Academy of Neurology

Autor: Sonia Maria Dozzi BRUCKI, Tarso ADONI, Carlos Mauricio Oliveira ALMEIDA, Daniel Ciampi de ANDRADE, Renato ANGHINAH, Luciana Mendonça BARBOSA, Rodrigo BAZAN, Alzira Alves de Siqueira CARVALHO, William CARVALHO, Paulo Pereira CHRISTO, Marcus Della COLETTA, Adriana Bastos CONFORTO, Ylmar CORREA-NETO, Eliasz ENGELHARDT, Marcondes Cavalcante FRANÇA JUNIOR, Clelia FRANCO, Felipe VON GLEHN, Helio Rodrigues GOMES, Caroline Gomes de Barros HOULY, Alexandre Ottoni KAUP, Fernando KOWACS, Aline KANASHIRO, Victor Gonçalves LOPES, Débora MAIA, Maria MANREZA, Alberto Rolim Muro MARTINEZ, Sandra Cristina Gonçalves MARTINEZ, Saulo Nardy NADER, Luciana de Oliveira NEVES, Ivan Hideyo OKAMOTO, Rogério Adas Ayres de OLIVEIRA, Fabiano de Melo PEIXOTO, Cristiana Borges PEREIRA, Roberta Arb SABA, Leticia Pereira de Brito SAMPAIO, Lucas Porcello SCHILLING, Marcus Tulius Teixeira SILVA, Emanuelle Roberta SILVA, Jerusa SMID, Cristiane Nascimento SOARES, Manoel SOBREIRA-NETO, Nise Alessandra de Carvalho SOUSA, Leonardo Cruz de SOUZA, Hélio Afonso Ghizoni TEIVE, Vera Cristina TERRA, Matheus VALE, Vitor Mendes Grise VIEIRA, Edmar ZANOTELI, Gilmar PRADO

Publikováno v: Arquivos de Neuro-Psiquiatria, Vol 79, Iss 4, Pp 354-369 (2021)

ABSTRACT Cannabinoids comprehend endocannabinoids, phytocannabinoids, and synthetic cannabinoids, with actions both in the central and peripherical nervous systems. A considerable amount of publications have been made in recent years, although cannab

Externí odkaz: https://doaj.org/article/55dcbaae20d94e21bc919be4baef45a0

Editorial: NEUROTRAUMA: From Emergency Room to Back to Day-by-Day Life

Autor: Renato Anghinah, Wellingson Silva Paiva, Tiago Henrique Falk, Felipe Fregni

Publikováno v: Frontiers in Neurology, Vol 9 (2018)

Externí odkaz: https://doaj.org/article/de623e72afc04c039ddd77b8878c741e

A novel deep learning approach using AlexNet for the classification of electroencephalograms in Alzheimer's Disease and Mild Cognitive Impairment

Autor: Rachel Drage, Javier Escudero, Mario A. Parra, Brian Scally, Renato Anghinah, Amanda Vitoria Lacerda De Araujo, Luis F Basile, Daniel Abasolo

Publikováno v: Drage, R, Escudero, J, Parra, M A, Scally, B, Anghinah, R, Lacerda de Araújo, A V, Basile, L F & Abasolo, D 2022, A novel deep learning approach using AlexNet for the classification of electroencephalograms in Alzheimer's Disease and Mild Cognitive Impairment . in Proceedings of 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society . vol. 2022, pp. 3175-3178, 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Glasgow, United Kingdom, 11/07/22 . https://doi.org/10.1109/EMBC48229.2022.9871497
44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22)

Alzheimer’s Disease (AD) is the most common form of dementia. Mild Cognitive Impairment (MCI) is the term given to the stage describing prodromal AD and represents a ‘risk factor’ in early-stage AD diagnosis from normal cognitive decline due to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07cce8bc201fe0d7864becfbd9ed3506
https://hdl.handle.net/20.500.11820/e4da2a6a-788c-4d86-8f54-a759f156de07