2015 · 23 citations · 21 references
MedicineNeurologyNeuroscienceClinical NeuroscienceCognitive NeurologyCognitive NeuroscienceBrain ImagingElectroencephalogram AnalysisElectroencephalographyFunctional NeuroimagingTraumatic Brain InjuryBrain Activation LocalizationIntracranial EegMild Traumatic Brain Injury ImagingPower Spectral DensityPower Spectral Density AnalysisPower Spectral Density EstimationResting-state EegTraumatic Brain Injury Pathophysiology
In this study, we compared the brain activation profiles obtained from resting state Electroencephalographic (EEG) and Magnetoencephalographic (MEG) activity in six mild traumatic brain injury (mTBI) patients and five orthopedic controls, using power spectral density (PSD) analysis. We first estimated intracranial dipolar EEG/MEG sources on a dense grid on the cortical surface and then projected these sources on a standardized atlas with 68 regions of interest (ROIs). Averaging the PSD values of all sources in each ROI across all control subjects resulted in a normative database that was used to convert the PSD values of mTBI patients into z-scores in eight distinct frequency bands. We found that mTBI patients exhibited statistically significant overactivation in the delta, theta, and low alpha bands. Additionally, the MEG modality seemed to better characterize the group of individual subjects. These findings suggest that resting-state EEG/MEG activation maps may be used as specific biomarkers that can help with the diagnosis of and assess the efficacy of intervention in mTBI patients.
21
Complex networks: Structure and dynamics
Stefano Boccaletti, Vito Latora, Yamir Moreno et al. · Physics Reports · 2006 · 11K citations
Brainstorm: A User-Friendly Application for MEG/EEG Analysis
François Tadel, Sylvain Baillet, John C. Mosher et al. · Computational Intelligence and Neuroscience · 2011 · 3.9K citations · Full text