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Clinical Neurophysiology

ISSN 1388-2457

3 papers in the library · 541 citations · publishing 2010-2021

Papers

Mindfulness-induced changes in gamma band activity – Implications for the default mode network, self-reference and attention

Clinical Neurophysiology September 21, 2011 Aviva Berkovich‐ohana, Joseph Glicksohn, Abraham Goldstein 309 citations

Mindfulness meditation practitioners show lower frontal gamma brain activity, indicating reduced default mode network (DMN) engagement and less self-referential thinking, both as a lasting trait and during a time production task. They also produce longer time estimates, which correlate with lower frontal gamma. Additionally, they exhibit increased posterior gamma power, suggesting heightened attention and sensory awareness. These effects appear regardless of meditation proficiency, suggesting neuroplastic changes in self-referential and attentional networks from early practice stages. The findings demonstrate that EEG can non-invasively measure DMN activity.

A comparative study of different references for EEG default mode network: The use of the infinity reference

Clinical Neurophysiology June 15, 2010 Yun Qin, Peng Xu, Dezhong Yao 207 citations

Choosing the reference electrode for EEG recordings substantially affects measures of brain activity, including the default mode network (DMN). Simulated data showed that the infinity reference obtained by the reference electrode standardisation technique (REST) exactly recovered the true network configuration. In real EEG data from 15 participants, different references—REST, average reference, linked mastoids, and left mastoid—produced significant differences in power spectra, coherence, and DMN connectivity. Compared with REST, the average reference strengthened long-distance connections between anterior and posterior brain areas, while linked mastoids and left mastoid references disrupted posterior connectivity. The effects depended on EEG frequency band. REST is a valid reference technique for objective comparisons across studies and clinical practice.

Predictive value of heart rate in treatment of major depression with ketamine in two controlled trials

Clinical Neurophysiology March 14, 2021 Torsten M. Meyer, Martin Brunovský, Jiřı́ Horáček et al. 25 citations

In patients with major depressive disorder, heart rate and heart rate variability measured before and during ketamine infusion can predict who will respond to treatment. Among 51 patients, those who responded to ketamine had a higher heart rate throughout the study, including at baseline, compared to non-responders. Ketamine infusion increased both heart rate and heart rate variability power during and after infusion. Heart rate and heart rate variability power, but not normalized frequency bands, discriminated between responders and non-responders. These findings suggest that autonomic nervous system markers may help optimize treatment selection for major depressive disorder.