Direct imaging of neuronal activity: a multivariate perspective on DIANA data in human subjects

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Magnetic resonance imaging (MRI) is a powerful modality for investigating abnormal developmental patterns in utero. However, since it is not the first-line diagnostic tool in this sensitive population, data remain scarce and heterogeneous across scanners a ...

Magnetic resonance spectroscopy (MRS) and magnetic resonance spectroscopic imaging (MRSI), are non-invasive techniques used to quantify biochemical compounds in tissue, such as choline, creatine, glutamate, glutamine, γ-aminobutyric acid, N-acetylaspartate ...

Cerebellar functional and structural connectivity are likely related to motor function after stroke. Less is known about motor recovery, which is defined as a gain of function between two time points, and about the involvement of the cerebellum. Fifteen pa ...

Background: The computational mechanisms underlying psychiatric disorders are hotly debated. One hypothesis, grounded in the Bayesian predictive coding framework, proposes that patients with schizophrenia have abnormalities in encoding prior beliefs about ...

Tractography techniques map white matter bundles in the brain using diffusion magnetic resonance imaging (dMRI) data. These techniques use models to calculate paths where water molecule diffusion is least hindered, assuming these paths approximate the unde ...

Connectome spectrum electromagnetic tomography (CSET) combines diffusion MRI-derived structural connectivity data with well-established graph signal processing tools to solve the M/EEG inverse problem. Using simulated EEG signals from fMRI responses, and t ...

For almost five decades of its existence, imaging neuroscience—the research branch that uses noninvasive brain imaging to provide inferences about brain structure and function, has focused almost exclusively on studies pertaining to well-controlled laborat ...

Objective. Many psychiatric disorders involve excessive avoidant or defensive behavior, such as avoidance in anxiety and trauma disorders or defensive rituals in obsessive-compulsive disorders. Developing algorithms to predict these behaviors from local fi ...

Anticipating potential threats in the environment and responding with adaptive behavior is essential for animal survival. Therefore, strong mechanisms of aversively-motivated associative learning, called fear learning, have evolved in the animal kingdom. I ...

However, their use in imaging applications has been limited by their relatively large pixel size (≥ 55 μm) and high-energy (>80 keV) electrons scattering over multiple pixels in the sensor layer. To realize the full potential of fast, radiation-hard HPDs a ...

Despite a lack of scientific consensus on the definition of emotions, they are generally considered to involve several modifications in the mind, body, and behavior. Although psychology theories emphasized multi-componential characteristics of emotions, li ...

Bioorthogonal chemistry is a rising field investigating chemical reactions in physiological environments with high specificity. However, only very few examples concern the real-time monitoring of bioorthogonal reactions by luminescence or magnetic relaxivi ...

The perception that someone is nearby, although nobody can be seen or heard, is called presence hallucination (PH). Being a frequent hallucination in patients with Parkinson's disease, it has been argued to be indicative of a more severe and rapidly advanc ...

Modeling communication dynamics in the brain is a key challenge in network neuroscience. We present here a framework that combines two measurements for any system where different communication processes are taking place on top of a fixed structural topolog ...

Direct imaging of neuronal activity: a multivariate perspective on DIANA data in human subjects

Chattez avec Graph Search

A dataset of synthetic, maturation-informed magnetic resonance images of the human fetal brain

A graphical pipeline platform for MRS data processing and analysis: MRSpecLAB

Resting-State Cortico-Cerebellar Connectivity Correlates with Post-Stroke Motor Recovery - A Prospective Functional MRI Study

Oscillatory Traveling Waves Provide Evidence for Predictive Coding Abnormalities in Schizophrenia

Probabilistic tractography

Connectome spectrum electromagnetic tomography: A method to reconstruct electrical brain source networks at high-spatial resolution

Mapping the Human Brain with Computational Anatomy

Neural decoding and feature selection methods for closed-loop control of avoidance behavior

Neuronal dynamics of principal neurons and three types of interneurons in the posterior Insula during fear learning

Enhancing spatial resolution in MÖNCH for electron microscopy via deep learning

Brain networks subserving functional core processes of emotions identified with componential modeling

Multimodal Visualization of Bioorthogonal Systems by Off-On Luminescence and Enhanced Magnetic Resonance Imaging

Editorial: Hybrid brain-robot interfaces for enhancing mobility

p Robotically-induced hallucination triggers subtle changes in brain network transitions

Toward an information theoretical description of communication in brain networks