Effective Connectivity of Beta Oscillations in Endometriosis-Related Chronic Pain During rest and Pain-Related Mental Imagery.

Using the EEG recordings of patients with endometriosis-related chronic pelvic pain, we have examined the effective connectivity within the cortical pain-related network during rest and during pain-related imagery. During rest, an altered connectivity was hypothesized between cortical somatosensory pain areas and regions involved in emotional and cognitive modulation of pain. During pain-related imagery, alterations in prefrontal-temporal connectivity were expected.

Pain catastrophizing is associated with altered EEG effective connectivity during pain‑related mental imagery.

Pain catastrophizing - defined as a tendency to exaggerate the threat value or seriousness of experienced pain ‑ has been shown to be a risk factor for pain chronification. However, the neural basis of pain catastrophizing remains unclear and requires thorough investigation. This study aimed to explore the relationship between pain catastrophizing and effective connectivity of the pain systems in healthy participants.

Pain cognition versus pain intensity in patients with endometriosis: toward personalized treatment.

Objective: To explore how pain intensity and pain cognition are related to health-related quality of life (HRQoL) in women with endometriosis.

Design: Cross-sectional questionnaire-based survey.

Setting: Multidisciplinary referral center.

Depressive rumination and the emotional control circuit: An EEG localization and effective connectivity study.

Ruminations are repetitive thoughts associated with symptoms, causes, and consequences of one's negative feelings. The objective of this study was to explore the neuronal basis of depressive rumination in a non-clinical population within the context of emotional control. Participants scoring high or low on the tendency to ruminate scale took part in the EEG experiment.

Cortical functional connectivity is associated with the valence of affective states.

The study investigates the relationships between the valence of affective states and the cortical patterns of functional connectivity. The information flow rate and direction were estimated by means of Directed Transfer Function (DTF), a multivariate method based on Granger causality. It was calculated on EEG activity recorded during mental imagery tasks.