Comparison of an 8-Channel and a 32-Channel Coil for High-Resolution fMRI at 7 T

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Objective: Markup of generalized interictal epileptiform discharges (IEDs) on EEG is an important step in the diagnosis and characterization of epilepsy. However, manual EEG markup is a time-consuming, subjective, and the specialized task where the human r ...

MRI is a non-invasive medical imaging modality that is sensitive to patient motion, which constitutes a major limitation in most clinical applications. Solutions may arise from the reduction of acquisition times or from motion-correction techniques, either ...

In the human brain, the corpus callosum is the major white-matter commissural tract enabling the transmission of sensory-motor, and higher level cognitive information between homotopic regions of the two cerebral hemispheres. Despite developmental absence ...

The human brain is a complex system that can be efficiently represented as a network of structural connectivity. Many imaging studies would benefit from such network information, which is not always available. In this work, we present a whole-brain multi-s ...

Background Children born very preterm (VPT;

Brain functional connectivity measured by resting-state fMRI varies over multiple time scales, and recurrent dynamic functional connectivity (dFC) states have been identified. These have been found to be associated with different cognitive and pathological ...

The use of TMS-EEG coupling as a neuroimaging tool for the functional exploration of the human brain recently gained strong interest. If this tool directly inherits the fine temporal resolution from EEG, its spatial counterpart remains unknown. In this stu ...

We present an approach for tracking fast spatiotemporal cortical dynamics in which we combine white matter connectivity data with source-projected electroencephalographic (EEG) data. We employ the mathematical framework of graph signal processing in order ...

The authors used resting-state fMRI in a prospective study to compare whole-brain functional connectivity between patients with good and poor outcomes, implementing support vector machine learning. They automatically predicted coma outcome using resting-st ...

Investigating context-dependent modulations of Functional Connectivity (FC) with functional magnetic resonance imaging is crucial to reveal the neurological underpinnings of cognitive processing. Most current analysis methods hypothesise sustained FC withi ...

The brain is a complex, multiscale dynamical system composed of many interacting regions. Knowledge of the spatiotemporal organization of these interactions is critical for establishing a solid understanding of the brain's functional architecture and the r ...

Individual characterization of subjects based on their functional connectome (FC), termed “FC fingerprinting”, has become a highly sought-after goal in contemporary neuroscience research. Recent functional magnetic resonance imaging (fMRI) studies have dem ...

Human behaviour is exquisitely complex, because it is staggeringly multi-facetted and subtly varies across individuals. Characterising its yet incompletely understood underlying biological mechanisms has profound clinical implications. Here, our goal was t ...

Comparison of an 8-Channel and a 32-Channel Coil for High-Resolution fMRI at 7 T

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Automatic detection of generalized paroxysmal fast activity in interictal EEG using time-frequency analysis

Choreography Controlled (ChoCo) brain MRI artifact generation for labeled motion-corrupted datasets

Large-scale functional network dynamics in human callosal agenesis: Increased subcortical involvement and preserved laterality

A multi-scale probabilistic atlas of the human connectome

Large-scale brain network dynamics in very preterm children and relationship with socio-emotional outcomes: an exploratory study

EEG Microstates Predict Concurrent fMRI Dynamic Functional Connectivity States

Exploring the spatial resolution of TMS-EEG coupling on the sensorimotor region

Connectome spectral analysis to track EEG task dynamics on a subsecond scale

Resting-State Brain Activity for Early Prediction Outcome in Postanoxic Patients in a Coma with Indeterminate Clinical Prognosis

Time-resolved effective connectivity in task fMRI: Psychophysiological interactions of Co-Activation patterns

Questions and controversies in the study of time-varying functional connectivity in resting fMRI

Exploring MEG brain fingerprints: Evaluation, pitfalls, and interpretations

Development and application of dynamic functional connectivity methods to elucidate the neural underpinnings of human behaviour with functional magnetic resonance imaging