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View article: Scale-dependent brain age with cosmological higher-order statistics from structural magnetic resonance imaging
Scale-dependent brain age with cosmological higher-order statistics from structural magnetic resonance imaging Open
Inferring chronological age from magnetic resonance imaging (MRI) brain data has become a valuable tool for the early detection of neurodegenerative diseases. We present a method inspired by cosmological techniques for analyzing galaxy sur…
View article: Higher-order Sonification of the Human Brain
Higher-order Sonification of the Human Brain Open
View article: Scale-dependent brain age with cosmological higher-order statistics from structural magnetic resonance imaging
Scale-dependent brain age with cosmological higher-order statistics from structural magnetic resonance imaging Open
Inferring chronological age from magnetic resonance imaging (MRI) brain data has become a valuable tool for the early detection of neurodegenerative diseases. We present a method inspired by cosmological techniques for analyzing galaxy sur…
View article: High-power transient 12–30 Hz beta event features as early biomarkers of Alzheimer’s disease conversion: An MEG study
High-power transient 12–30 Hz beta event features as early biomarkers of Alzheimer’s disease conversion: An MEG study Open
A typical pattern observed in M/EEG recordings of mild cognitive impairment (MCI) patients progressing to Alzheimer’s disease (AD) is a continuous slowing of brain oscillatory activity. Definitions of oscillatory slowing are imprecise, as …
View article: One Definition to Join Them All: The N-Spherical Solution for the EEG Lead Field
One Definition to Join Them All: The N-Spherical Solution for the EEG Lead Field Open
Albeit its simplicity, the concentric spheres head model is widely used in EEG. The reason behind this is its simple mathematical definition, which allows for the calculation of lead fields with negligible computational cost, for example, …
View article: Selection of the Minimum Number of EEG Sensors to Guarantee Biometric Identification of Individuals
Selection of the Minimum Number of EEG Sensors to Guarantee Biometric Identification of Individuals Open
Biometric identification uses person recognition techniques based on the extraction of some of their physical or biological properties, which make it possible to characterize and differentiate one person from another and provide irreplacea…
View article: Brainprint based on functional connectivity and asymmetry indices of brain regions: A case study of biometric person identification with non‐expensive electroencephalogram headsets
Brainprint based on functional connectivity and asymmetry indices of brain regions: A case study of biometric person identification with non‐expensive electroencephalogram headsets Open
Brain‐computer interface applications for biometric person identification have increased their interest in recent years since they are potentially more secure and more difficult to counterfeit than traditional biometric techniques. However…
View article: The more, the merrier: multivariate phase synchronization methods excel pairwise ones in estimating functional brain connectivity from reconstructed neural sources
The more, the merrier: multivariate phase synchronization methods excel pairwise ones in estimating functional brain connectivity from reconstructed neural sources Open
The estimation of functional connectivity (FC) from electro-(EEG) or magnetoencephalographic (MEG) recordings suffers from low spatial resolution, being one of the reasons for the reduced number of sensors compared to the number of reconst…
View article: Effect of time windows in LSTM networks for EEG-based BCIs
Effect of time windows in LSTM networks for EEG-based BCIs Open
View article: ASMR amplifies low frequency and reduces high frequency oscillations
ASMR amplifies low frequency and reduces high frequency oscillations Open
View article: The influence of a genetic risk score for Alzheimer’s disease on healthy elderly brain functional connectivity: A magnetoencephalography study
The influence of a genetic risk score for Alzheimer’s disease on healthy elderly brain functional connectivity: A magnetoencephalography study Open
Background The study of the effects that certain genetic risk factors for Alzheimer’s disease (AD) has become a growing body of research. However, the relationship between brain integrity and performance and genetic profiles has been scarc…
View article: FNS allows efficient event-driven spiking neural network simulations based on a neuron model supporting spike latency
FNS allows efficient event-driven spiking neural network simulations based on a neuron model supporting spike latency Open
View article: Functional connectivity of the hippocampus and its subfields in resting‐state networks
Functional connectivity of the hippocampus and its subfields in resting‐state networks Open
Many neuroimaging studies have shown that the hippocampus participates in a resting‐state network called the default mode network. However, how the hippocampus connects to the default mode network, whether the hippocampus connects to other…
View article: nMNSD—A Spiking Neuron-Based Classifier That Combines Weight-Adjustment and Delay-Shift
nMNSD—A Spiking Neuron-Based Classifier That Combines Weight-Adjustment and Delay-Shift Open
The recent “multi-neuronal spike sequence detector” (MNSD) architecture integrates the weight- and delay-adjustment methods by combining heterosynaptic plasticity with the neurocomputational feature spike latency, representing a new opport…
View article: Author response for "Functional connectivity of the hippocampus and its subfields in resting‐state networks"
Author response for "Functional connectivity of the hippocampus and its subfields in resting‐state networks" Open
View article: Modifications in the Topological Structure of EEG Functional Connectivity Networks during Listening Tonal and Atonal Concert Music in Musicians and Non-Musicians
Modifications in the Topological Structure of EEG Functional Connectivity Networks during Listening Tonal and Atonal Concert Music in Musicians and Non-Musicians Open
The present work aims to demonstrate the hypothesis that atonal music modifies the topological structure of electroencephalographic (EEG) connectivity networks in relation to tonal music. To this, EEG monopolar records were taken in musici…
View article: Multivariate extension of phase synchronization improves the estimation of region-to-region source space functional connectivity
Multivariate extension of phase synchronization improves the estimation of region-to-region source space functional connectivity Open
The estimation of functional connectivity (FC) from noninvasive electrophysiological data recorded from sensors outside the skull requires transforming these data into a source space. As the number of sensors is much lower than the number …
View article: A Structural Connectivity Disruption One Decade before the Typical Age for Dementia: A Study in Healthy Subjects with Family History of Alzheimer’s Disease
A Structural Connectivity Disruption One Decade before the Typical Age for Dementia: A Study in Healthy Subjects with Family History of Alzheimer’s Disease Open
The concept of the brain has shifted to a complex system where different subnetworks support the human cognitive functions. Neurodegenerative diseases would affect the interactions among these subnetworks and, the evolution of impairment a…
View article: Different theta frameworks coexist in the rat hippocampus and are coordinated during memory-guided and novelty tasks
Different theta frameworks coexist in the rat hippocampus and are coordinated during memory-guided and novelty tasks Open
Hippocampal firing is organized in theta sequences controlled by internal memory processes and by external sensory cues, but how these computations are coordinated is not fully understood. Although theta activity is commonly studied as a u…
View article: Author response: Different theta frameworks coexist in the rat hippocampus and are coordinated during memory-guided and novelty tasks
Author response: Different theta frameworks coexist in the rat hippocampus and are coordinated during memory-guided and novelty tasks Open
Article Figures and data Abstract eLife digest Introduction Results Discussion Materials and methods Data availability References Decision letter Author response Article and author information Metrics Abstract Hippocampal firing is organiz…
View article: Hypersynchronization in mild cognitive impairment: the ‘X’ model
Hypersynchronization in mild cognitive impairment: the ‘X’ model Open
Hypersynchronization has been considered as a biomarker of synaptic dysfunction along the Alzheimeŕs disease continuum. In a longitudinal MEG study, Pusil et al. reveal changes in functional connectivity upon progression from MCI to Alzhei…
View article: Comparison of Photonic Reservoir Computing Systems for Fiber Transmission Equalization
Comparison of Photonic Reservoir Computing Systems for Fiber Transmission Equalization Open
In recent years, various methods, architectures, and implementations have been proposed to realize hardware-based reservoir computing (RC) for a range of classification and prediction tasks. Here we compare two photonic platforms that owe …
View article: P4‐574: FUNCTIONAL CONNECTIVITY HYPOSYNCHRONIZATION IN A GROUP OF COGNITIVELY INTACT OLDER FEMALES: THE USE OF A GENETIC RISK SCORE FOR ALZHEIMER'S DISEASE
P4‐574: FUNCTIONAL CONNECTIVITY HYPOSYNCHRONIZATION IN A GROUP OF COGNITIVELY INTACT OLDER FEMALES: THE USE OF A GENETIC RISK SCORE FOR ALZHEIMER'S DISEASE Open
During the last decade, a growing body of research has focused on the study of the effects that certain genetic risk factors for Alzheimer's disease (AD) might exert on brain's structure and function. In this case, we have calculated a gen…
View article: Biomagnetic biomarkers for dementia: A pilot multicentre study with a recommended methodological framework for magnetoencephalography
Biomagnetic biomarkers for dementia: A pilot multicentre study with a recommended methodological framework for magnetoencephalography Open
Introduction An increasing number of studies are using magnetoencephalography (MEG) to study dementia. Here we define a common methodological framework for MEG resting‐state acquisition and analysis to facilitate the pooling of data from d…
View article: Modeling the Switching Behavior of Functional Connectivity Microstates (FCμstates) as a Novel Biomarker for Mild Cognitive Impairment
Modeling the Switching Behavior of Functional Connectivity Microstates (FCμstates) as a Novel Biomarker for Mild Cognitive Impairment Open
The need for designing and validating novel biomarkers for the detection of mild cognitive impairment (MCI) is evident. MCI patients have a high risk of developing Alzheimer's disease (AD), and for that reason the introduction of novel and…
View article: Non-Linear Dynamical Analysis of Resting Tremor for Demand-Driven Deep Brain Stimulation
Non-Linear Dynamical Analysis of Resting Tremor for Demand-Driven Deep Brain Stimulation Open
Parkinson’s Disease (PD) is currently the second most common neurodegenerative disease. One of the most characteristic symptoms of PD is resting tremor. Local Field Potentials (LFPs) have been widely studied to investigate deviations from …
View article: Biomagnetic biomarkers for dementia: A pilot multicentre study with a recommended methodological framework for magnetoencephalography.
Biomagnetic biomarkers for dementia: A pilot multicentre study with a recommended methodological framework for magnetoencephalography. Open
INTRODUCTION: An increasing number of studies are using magnetoencephalography (MEG) to study dementia. Here we define a common methodological framework for MEG resting-state acquisition and analysis to facilitate the pooling of data from …
View article: Modeling the Switching behavior of Functional Connectivity Microstates (FCμstates) as a Novel Biomarker for Mild Cognitive Impairment
Modeling the Switching behavior of Functional Connectivity Microstates (FCμstates) as a Novel Biomarker for Mild Cognitive Impairment Open
It is evident the need for designing and validating novel biomarkers for the detection of mild cognitive impairment (MCI). MCI patients have a high risk of developing Alzheimer’s disease (AD), and for that reason the introduction of novel …
View article: Aberrant MEG multi-frequency phase temporal synchronization predicts conversion from mild cognitive impairment-to-Alzheimer's disease
Aberrant MEG multi-frequency phase temporal synchronization predicts conversion from mild cognitive impairment-to-Alzheimer's disease Open
View article: A Neuro-Inspired System for Online Learning and Recognition of Parallel Spike Trains, Based on Spike Latency, and Heterosynaptic STDP
A Neuro-Inspired System for Online Learning and Recognition of Parallel Spike Trains, Based on Spike Latency, and Heterosynaptic STDP Open
Humans perform remarkably well in many cognitive tasks including pattern recognition. However, the neuronal mechanisms underlying this process are not well understood. Nevertheless, artificial neural networks, inspired in brain circuits, h…