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[HTML][HTML] Open and reproducible neuroimaging: from study inception to publication
Empirical observations of how labs conduct research indicate that the adoption rate of open
practices for transparent, reproducible, and collaborative science remains in its infancy. This …
practices for transparent, reproducible, and collaborative science remains in its infancy. This …
Quantitative approaches to guide epilepsy surgery from intracranial EEG
Over the past 10 years, the drive to improve outcomes from epilepsy surgery has stimulated
widespread interest in methods to quantitatively guide epilepsy surgery from intracranial …
widespread interest in methods to quantitatively guide epilepsy surgery from intracranial …
[HTML][HTML] Optical imaging and spectroscopy for the study of the human brain: status report
This report is the second part of a comprehensive two-part series aimed at reviewing an
extensive and diverse toolkit of novel methods to explore brain health and function. While …
extensive and diverse toolkit of novel methods to explore brain health and function. While …
[HTML][HTML] GaborPDNet: Gabor transformation and deep neural network for Parkinson's disease detection using EEG signals
Parkinson's disease (PD) is globally the most common neurodegenerative movement
disorder. It is characterized by a loss of dopaminergic neurons in the substantia nigra of the …
disorder. It is characterized by a loss of dopaminergic neurons in the substantia nigra of the …
[HTML][HTML] A reusable benchmark of brain-age prediction from M/EEG resting-state signals
Population-level modeling can define quantitative measures of individual aging by applying
machine learning to large volumes of brain images. These measures of brain age, obtained …
machine learning to large volumes of brain images. These measures of brain age, obtained …
Introducing MEG-MASC a high-quality magneto-encephalography dataset for evaluating natural speech processing
The “MEG-MASC” dataset provides a curated set of raw magnetoencephalography (MEG)
recordings of 27 English speakers who listened to two hours of naturalistic stories. Each …
recordings of 27 English speakers who listened to two hours of naturalistic stories. Each …
Electrocorticography is superior to subthalamic local field potentials for movement decoding in Parkinson's disease
Brain signal decoding promises significant advances in the development of clinical brain
computer interfaces (BCI). In Parkinson's disease (PD), first bidirectional BCI implants for …
computer interfaces (BCI). In Parkinson's disease (PD), first bidirectional BCI implants for …
Good scientific practice in EEG and MEG research: Progress and perspectives
Good scientific practice (GSP) refers to both explicit and implicit rules, recommendations,
and guidelines that help scientists to produce work that is of the highest quality at any given …
and guidelines that help scientists to produce work that is of the highest quality at any given …
An adversarial collaboration to critically evaluate theories of consciousness
Different theories explain how subjective experience arises from brain activity,. These
theories have independently accrued evidence, yet, confirmation bias and dependence on …
theories have independently accrued evidence, yet, confirmation bias and dependence on …
Measures of the coupling between fluctuating brain network organization and heartbeat dynamics
In recent years, there has been an increasing interest in studying brain–heart interactions.
Methodological advancements have been proposed to investigate how the brain and the …
Methodological advancements have been proposed to investigate how the brain and the …