This paper considers the identification of large directed graphs for resting-state brain networks based on biophysical models of distributed neuronal activity, that is, effective connectivity. This identification can be contrasted with functional connectivity methods based on symmetric correlations that are ubiquitous in resting-state functional MRI (fMRI). We use spectral dynamic causal modeli...

The objective was to assess dynamic functional connectivity (FC) and local/global connectivity in Parkinson's disease (PD) patients with mild cognitive impairment (PD-MCI) and with normal cognition (PD-NC). The sample included 35 PD patients and 26 healthy controls (HC). Cognitive assessment followed an extensive neuropsychological battery. For resting-state functional MRI (rs-fMRI) analysis, i...

objectives: falling in the elderly is common and dynamic balance has direct effect abstract  on it. therefore, we decided to study the effect of functional training on dynamic balance in healthy elderly women. methods & materials: thirty healthy elderly women were purposefully selected as subjects and then randomly divided into two equal groups (control and experimental groups). the dynamic bal...

BACKGROUND During an experimental session, behavioral performance fluctuates, yet most neuroimaging analyses of functional connectivity derive a single connectivity pattern. These conventional connectivity approaches assume that since the underlying behavior of the task remains constant, the connectivity pattern is also constant. NEW METHOD We introduce a novel method, behavior-regressed conn...

Specific networks of interacting neuronal assemblies distributed within and across distinct brain regions underlie brain functions. In most cognitive tasks, these interactions are dynamic and take place at the millisecond time scale. Among neuroimaging techniques, magneto/electroencephalography - M/EEG - allows for detection of very short-duration events and offers the single opportunity to fol...

In this paper, we present a novel and versatile method to study the dynamics of restingstate fMRI brain connectivity with a high temporal sensitivity. Whereas most existing methods often rely on dividing the time-series into larger segments of data (i.e. so called sliding window techniques), the point-based method (PBM) proposed here provides an estimate of brain connectivity at the level of in...

In recent years, a number of brain regions and connectivity patterns have been proposed to be crucial for loss and recovery of consciousness but have not been compared in detail. In a 3 T resting-state functional magnetic resonance imaging paradigm, we test the plausibility of these different neuronal models derived from theoretical and empirical knowledge. Specifically, we assess the fit of ea...

We are excited about the launch of this new journal Brain Connectivity, which focuses on a field that has been rapidly evolving over the last several years. This journal will bring together all aspects of the functional and structural connections of the human and animal brain regardless of experimental technique. Improvements to existing neuroimaging modalities have provided unprecedented spati...