output
20122024
most citedState-dependent changes of connectivity patterns and functional brain network topology in Autism Spectrum Disorder

82 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

7 papers

stat.AP2024★ 7 cited

Study on spike-and-wave detection in epileptic signals using t-location-scale distribution and the K-nearest neighbors classifier

Antonio Quintero-Rincón, Jorge Prendes, Valeria Muro +1

Pattern classification in electroencephalography (EEG) signals is an important problem in biomedical engineering since it enables the detection of brain activity, particularly the…

stat.AP2020★ 5 cited

Epileptic seizure prediction using Pearson's product-moment correlation coefficient of a linear classifier from generalized Gaussian modeling

Antonio Quintero-Rincon, Carlos D'Giano, Marcelo Risk

To predict an epileptic event means the ability to determine in advance the time of the seizure with the highest possible accuracy. A correct prediction benchmark for epilepsy even…

eess.SP2020★ 3 cited

Mu-suppression detection in motor imagery electroencephalographic signals using the generalized extreme value distribution

Antonio Quintero-Rincón, Carlos D'Giano, Hadj Batatia

This paper deals with the detection of mu-suppression from electroencephalographic (EEG) signals in brain-computer interface (BCI). For this purpose, an efficient algorithm is prop…

stat.AP2019★ 14 cited

A quadratic linear-parabolic model-based classification to detect epileptic EEG seizures

Antonio Quintero-Rincon, Carlos D'Giano, Hadj Batatia

The two-point central difference is a common algorithm in biological signal processing and is particularly useful in analyzing physiological signals. In this paper, we develop a mo…

eess.SP2019★ 4 cited

A novel spike-and-wave automatic detection in EEG signals

Antonio Quintero-Rincón, Valeria Muro, Carlos D'Giano +2

Spike-and-wave discharge (SWD) pattern classification in electroencephalography (EEG) signals is a key problem in signal processing. It is particularly important to develop a SWD a…

q-bio.NC2013★ 2 cited

Disruption of transfer entropy and inter-hemispheric brain functional connectivity in patients with disorder of consciousness

Verónica Mäki-Marttunen, Ibai Diez, Jesus M. Cortes +2

Severe traumatic brain injury can lead to disorders of consciousness (DOC) characterized by deficit in conscious awareness and cognitive impairment including coma, vegetative state…

q-bio.NC2012★ 82 cited

State-dependent changes of connectivity patterns and functional brain network topology in Autism Spectrum Disorder

Pablo Barttfeld, Bruno Wicker, Sebastián Cukier +4

Anatomical and functional brain studies have converged to the hypothesis that Autism Spectrum Disorders (ASD) are associated with atypical connectivity. Using a modified resting-st…