NeuronUP
NeuronUP. Web platform of cognitive rehabilitation
Marcos Ríos-Lago highlights the advancements, opportunities, and limitations of technology in the field of neuropsychological assessment, with a critical and integrative perspective. The omnipresence of technology in our lives Nowadays, we are surrounded by technology. Just a few days ago, we experienced a blackout that left us without electricity for several hours, allowing us to …
In this article, MD and PhD Juan Pablo Moreno Muñoz presents the study “Effects of Cognitive Training on Balance and Motor Symptoms in Parkinson’s Disease: An Exploratory Randomized Controlled Trial”, in which our neurorehabilitation platform, NeuronUP, participated. Relevance of the Study This study is relevant because it explores the impact of cognitive training on improving …
Antonio Javier Sutil presents in this article the most relevant data from the study “Alzheimer’s Disease as a Clinical-Biological Construct: Recommendations from an International Working Group”. Modification of Alzheimer’s Diagnostic Criteria Recently, the Alzheimer’s Association proposed a modification of Alzheimer’s diagnostic criteria to be based solely on biological evidence. This would allow for Alzheimer’s disease …
The researcher Antonio Javier Sutil Jiménez presents in this article the most relevant information from the study “Intensive Evaluation of Executive Functions Derived from Performance in Cognitive Training Games”, in which our cognitive stimulation platform, NeuronUP, participated. Authors and Universities Involved This study originated from the PENSA Study, which aimed to investigate the effect on …
Antonio Javier Sutil Jiménez discusses in this article the data presented in the study “Deep Learning Model for Early Detection of Cognitive Decline from Clinical Notes in Electronic Health Records”. Why is this Study on Learning Models from Clinical Notes Important? This study addresses the early detection of cognitive decline in adults, which is crucial …
In this article, Antonio Javier Sutil Jiménez discusses the study “Prediction of the Incidence of Alzheimer’s Disease Using Machine Learning with Large-Scale Administrative Health Data”. Why is the Study of Alzheimer’s Prediction Using Machine Learning Important? The advancement of technology can sometimes provide unexpected solutions to medical problems. One example of this is the use …
In this article, researcher Antonio Javier Sutil Jiménez presents the most important data from the study “Reliability and Validity of Smartphone Cognitive Tests for Frontotemporal Lobar Degeneration.” Why is this study on cognitive tests for frontotemporal lobar degeneration important? Frontotemporal lobar degeneration (FTLD) is a neurodegenerative disorder that causes dementia syndromes. FTLD affects the frontal …
What happens if the world changes today and you must find new ways to offer your professional services? In this article, neuropsychologist Andreia Geraldo brings us a Portuguese study conducted on the changes that COVID-19 brought to neuropsychology services and, specifically, how people with neurological disorders faced the process of neuropsychological rehabilitation at distance. COVID-19 and …
Jesus M. Cortes, Ikerbasque Professor at the Biocruces-Bizkaia Health Research Institute and Head of R&D at NeuronUP, explains in this interview the findings on the prediction of cognitive impairment with NeuronUP that have just been published in the prestigious British Journal of Neuropsychology. What have been the major findings in this study? The motivation of …
