Brain-related neuronal recordings, such as local field potential, electroencephalogram and magnetoencephalogram, offer the opportunity to study the complexity of the human brain at different spatial and temporal scales. The complex properties of neuronal signals are intrinsically related to the concept of 'scale-free' behavior and irregular dynamic, which cannot be fully described through standard linear methods, but can be measured by nonlinear indexes. A remarkable application of these analysis methods on electrophysiological recordings is the deep comprehension of the pathophysiology of neurodegenerative diseases, that has been shown to be associated to changes in brain activity complexity. In particular, a decrease of global complexity ...
Stroke is the commonest cause of disability. Novel treatments require an improved understanding of t...
Introduction: Many physiological signals yield fractal characteristics, i.e., finer details at highe...
Alzheimer's disease (AD) is a progressive brain disorder with gradual memory loss that correlates to...
Brain-related neuronal recordings, such as local field potential (LFP), electroencephalogram (EEG) a...
Alzheimer's disease (AD) is the most common form of dementia and is a progressive neurodegenerative ...
The objective of the present study is to explore the brain resting state differences between Parkins...
The systems movement experienced four waves in 20th century: the first wave stemmed from the debate ...
High-resolution isotropic three-dimensional reconstructions of human brain gray and white matter str...
Over the last years, fractals have entered into the realms of clinical neurosciences. The whole brai...
Over the last decades, fractal analysis has been applied to the study of the spatial and temporal co...
The paper presents a method to examine brain structures in neuroanatomy changes which result in deme...
There has been an increasing trend towards the use of complexity analysis in quantifying neural acti...
Fractal geometry has recently been proposed as a useful tool for characterizing the complexity of th...
The quantification of brain dynamics is essential to its understanding. However, the brain is a syst...
Producción CientíficaAlzheimer’s disease (AD) is a neurodegenerative disorder with high prevalence, ...
Stroke is the commonest cause of disability. Novel treatments require an improved understanding of t...
Introduction: Many physiological signals yield fractal characteristics, i.e., finer details at highe...
Alzheimer's disease (AD) is a progressive brain disorder with gradual memory loss that correlates to...
Brain-related neuronal recordings, such as local field potential (LFP), electroencephalogram (EEG) a...
Alzheimer's disease (AD) is the most common form of dementia and is a progressive neurodegenerative ...
The objective of the present study is to explore the brain resting state differences between Parkins...
The systems movement experienced four waves in 20th century: the first wave stemmed from the debate ...
High-resolution isotropic three-dimensional reconstructions of human brain gray and white matter str...
Over the last years, fractals have entered into the realms of clinical neurosciences. The whole brai...
Over the last decades, fractal analysis has been applied to the study of the spatial and temporal co...
The paper presents a method to examine brain structures in neuroanatomy changes which result in deme...
There has been an increasing trend towards the use of complexity analysis in quantifying neural acti...
Fractal geometry has recently been proposed as a useful tool for characterizing the complexity of th...
The quantification of brain dynamics is essential to its understanding. However, the brain is a syst...
Producción CientíficaAlzheimer’s disease (AD) is a neurodegenerative disorder with high prevalence, ...
Stroke is the commonest cause of disability. Novel treatments require an improved understanding of t...
Introduction: Many physiological signals yield fractal characteristics, i.e., finer details at highe...
Alzheimer's disease (AD) is a progressive brain disorder with gradual memory loss that correlates to...