Javier Bejar
Barcelona, CT 08242, Spain
Last Updated: 09/26/2026
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Found 12 publications
Can Personality Traits Affect Sleep Quality in Post-COVID-19 Patients?
Journal: Journal of clinical medicine
Published: March 26, 2025
Functional brain abnormalities in post COVID-19 condition and their relationship with cognition.
Journal: Scientific reports
Published: December 16, 2024
Structural brain changes in post-COVID condition and its relationship with cognitive impairment.
Journal: Brain communications
Published: August 13, 2024
Retinal Microvasculature Changes Linked to Executive Function Impairment after COVID-19.
Journal: Journal of clinical medicine
Published: July 26, 2024
Cognition and objective sleep quality in post-COVID-19 patients.
Journal: Frontiers in psychology
Published: April 16, 2024
Cognitive reserve, depressive symptoms, obesity, and change in employment status predict mental processing speed and executive function after COVID-19.
Journal: European archives of psychiatry and clinical neuroscience
Published: October 30, 2023
Cognitive and emotional predictors of quality of life and functioning after COVID-19.
Journal: Annals of clinical and translational neurology
Published: September 20, 2023
COVID-19 severity is related to poor executive function in people with post-COVID conditions.
Journal: Journal of neurology
Published: November 14, 2022
Neuropsychological impairment in post-COVID condition individuals with and without cognitive complaints.
Journal: Frontiers in aging neuroscience
Published: August 27, 2022
Supraspinal Shaping of Adaptive Transitions in the State of Functional Connectivity Between Segmentally Distributed Dorsal Horn Neuronal Populations in Response to Nociception and Antinociception.
Journal: Frontiers in systems neuroscience
Published: April 26, 2019
Markovian Analysis of the Sequential Behavior of the Spontaneous Spinal Cord Dorsum Potentials Induced by Acute Nociceptive Stimulation in the Anesthetized Cat.
Journal: Frontiers in computational neuroscience
Published: November 10, 2016
A machine learning methodology for the selection and classification of spontaneous spinal cord dorsum potentials allows disclosure of structured (non-random) changes in neuronal connectivity induced by nociceptive stimulation.
Journal: Frontiers in neuroinformatics
Published: June 26, 2015
Showing 1-12 of 12
Last Updated: 09/26/2026