Time-invariant person-specific frequency templates in human brain activity
Itai Doron, Eyal Hulata, Itay Baruchi, Vernon L. Towle, Eshel Ben-Jacob
Abstract
The various human brain tasks are performed at different locations and time scales. Yet, we discovered the existence of time-invariant (above an essential time scale) partitioning of the brain activity into personal state-specific frequency bands. For that, we perform temporal and ensemble averaging of best wavelet packet bases from multi-electrode EEG recordings. These personal frequency-bands provide new templates for quantitative analyses of brain function, e.g., normal vs. epileptic activity.
Create a lesson
Related papers
Constrained estimation of rotational invariants of the cumulant expansion (RICE) for rapid tensor-valued diffusion MRI
Jinyang Yu, Oliver Gödicke, Frederik B. Laun et al.
Dose-PlanNet: Physics Based Radiotherapy Dose Prediction with Deep Learning
Ankit Bhattacharjee, Sougata Maity, Santam Chakraborty et al.
Sparse Delta Integration method for the calculation of spatiotemporal pressure fields of arbitrary ultrasound transducer geometries
Deyver E. Rivera, Charlie Demene, Mickael Tanter
Adapting the TG-43 formalism for use in Diffusing alpha-emitters Radiation Therapy
Guy Heger, Lior Epstein, Lior Arazi
Evaluation of the Exradin A30 Parallel Plate Ion Chamber as a Reference Dosimeter in Ultra-High Dose Rate (UHDR) Electron Beams
Mervat Alharbi, Kevin Liu, Brian Hooten et al.
Clustering of anterior corneal surface shapes in normal adults
Hala Bouazizi, Isabelle Brunette, Jean Meunier