Magnetoencephalography to characterize cortical effects of conditioned pain modulation in patients treated with spinal cord stimulation

<b>Introduction</b>: Spinal Cord Stimulation (SCS) is a successful last-resort treatment for chronic pain patients, although its exact mechanisms of action (MOAs) still need to be unraveled. The MOAs of SCS partly rely on spinal mechanisms (gate control theory) and supraspinal mechanisms likely play a role as well. Pain processing involves a...

Predicting time-resolved electrophysiological brain networks from structural eigenmodes

How temporal modulations in functional interactions are shaped by the underlying anatomical connections remains an open question. Here, we analyse the role of structural eigenmodes, in the formation and dissolution of temporally evolving functional brain networks using resting-state magnetoencephalography and diffusion magnetic resonance...

Magnetoencephalography to Image the Acute Modulation of Brain Activity by Spinal Cord Stimulation Treatment in Chronic Pain Patients

Background: Spinal cord stimulation (SCS) is a last resort therapy for chronic pain syndromes, of which the exact mechanisms of action remain unknown. Although often effective, not all patients have sufficient pain reduction after implantation. Objective: Analyse the acute effects of tonic and burst SCS on spectral features in the whole brain...

Interlayer connectivity reconstruction for multilayer brain networks using phase oscillator models

Large-scale neurophysiological networks are often reconstructed from band-pass filtered time series derived from magnetoencephalography (MEG) data. Common practice is to reconstruct these networks separately for different frequency bands and to treat them independently. Recent evidence suggests that this separation may be inadequate, as there...

Predicting haemodynamic networks using electrophysiology: The role of non-linear and cross-frequency interactions

Understanding the electrophysiological basis of resting state networks (RSNs) in the human brain is a critical step towards elucidating how inter-areal connectivity supports healthy brain function. In recent years, the relationship between RSNs (typically measured using haemodynamic signals) and electrophysiology has been explored using...

The Union of Shortest Path Trees of Functional Brain Networks

Communication between brain regions is still insufficiently understood. Applying concepts from network science has shown to be successful in gaining insight in the functioning of the brain. Recent work has implicated that especially shortest paths in the structural brain network seem to play a major role in the communication within the brain. So...

Disruption of Functional Brain Networks in Alzheimer’s Disease: What Can We Learn from Graph Spectral Analysis of Resting-State Magnetoencephalography?

In Alzheimer’s disease (AD), structural and functional brain network organization is disturbed. However, many of the present network analysis measures require a priori assumptions and methodological choices that influence outcomes and interpretations. Graph spectral analysis (GSA) is a more direct algebraic method that describes network...