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QEEG, Methods & Mechanisms

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16 of 16 studies

Title Authors Year Study type
Resting-State Brain Network Deficits in Multiple Sclerosis Participants: Evidence from Electroencephalography and Graph Theoretical Analysis Jouzizadeh, Ghaderi et al. 2021 Controlled study
Tracking EEG changes in response to alpha and beta binaural beats Vernon, Peryer et al. 2014 Controlled study
A neurophysiological insight into the potential link between transcranial magnetic stimulation, thalamocortical dysrhythmia and neuropsychiatric disorders Fuggetta, Noh 2013 Randomized controlled trial
Adaptive Resonance Theory: How a brain learns to consciously attend, learn, and recognize a changing world Grossberg 2013 Review & meta-analysis
Anatomical connectivity and the resting state activity of large cortical networks Pinotsis, Hansen et al. 2013
Infra-slow fluctuations in heart and brain Zanatta, Toffolo et al. 2013 Observational study
Studying the topological organization of the cerebral blood flow fluctuations in resting state Melie-García, Sanabria-Diaz et al. 2013 Observational study
Coupling between Intrinsic Prefrontal HbO2 and Central EEG Beta Power Oscillations in the Resting Brain Pfurtscheller, Daly et al. 2012 Observational study
Emergence of Stable Functional Networks in Long-Term Human Electroencephalography Chu, Kramer et al. 2012 Observational study
Spontaneous Brain Activity Relates to Autonomic Arousal Fan, Xu et al. 2012 Observational study
EEG spectral coherence data distinguish chronic fatigue syndrome patients from healthy controls and depressed patients Duffy, McAnulty et al. 2011 Controlled study
EEG Biofeedback Case Studies Using Live Z-Score Training and a Normative Database Collura, Guan et al. 2010 Case study
Walker et al paper on module activation/coherence approach to QEEG Walker, Kozlowski et al. 2007
Effects of 18.5 Hz Auditory and Visual Stimulation on EEG Amplitude at the Vertex Frederick, Lubar et al. 1999
EEG as a Predictor of Medication Response Collura Review & meta-analysis
EEG Coherence between prefrontal and posterior cortical regions is related to negative personality traits Observational study