EEG Topography: Experience and Comments

Author(s):  
Anders Persson
Keyword(s):  
2017 ◽  
Vol 31 (2) ◽  
pp. 257-269 ◽  
Author(s):  
Alessia Bersagliere ◽  
Roberto D. Pascual-Marqui ◽  
Leila Tarokh ◽  
Peter Achermann

1985 ◽  
Vol 61 (3) ◽  
pp. S222-S223
Author(s):  
P. Rappelsberger ◽  
H. Petsche ◽  
H. Pockberger
Keyword(s):  

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Andjela Markovic ◽  
Peter Achermann ◽  
Thomas Rusterholz ◽  
Leila Tarokh

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Bowon Kim ◽  
Eunjin Hwang ◽  
Robert E. Strecker ◽  
Jee Hyun Choi ◽  
Youngsoo Kim

AbstractCompensatory elevation in NREM sleep EEG delta power has been typically observed following prolonged wakefulness and widely used as a sleep homeostasis indicator. However, recent evidence in human and rodent chronic sleep restriction (CSR) studies suggests that NREM delta power is not progressively increased despite of accumulated sleep loss over days. In addition, there has been little progress in understanding how sleep EEG in different brain regions responds to CSR. Using novel high-density EEG electrode arrays in the mouse model of CSR where mice underwent 18-h sleep deprivation per day for 5 consecutive days, we performed an extensive analysis of topographical NREM sleep EEG responses to the CSR condition, including period-amplitude analysis of individual slow waves. As previously reported in our analysis of REM sleep responses, we found different patterns of changes: (i) progressive decrease in NREM sleep duration and consolidation, (ii) persistent enhancement in NREM delta power especially in the frontal and parietal regions, and (iii) progressive increases in individual slow wave slope and frontal fast oscillation power. These results suggest that multiple sleep-wake regulatory systems exist in a brain region-specific manner, which can be modulated independently, especially in the CSR condition.


2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Raffaele Nardone ◽  
Luca Sebastianelli ◽  
Viviana Versace ◽  
Leopold Saltuari ◽  
Piergiorgio Lochner ◽  
...  

The clinical distinction of frontotemporal dementia (FTD) and Alzheimer’s disease (AD) may be difficult. In this narrative review we summarize and discuss the most relevant electroencephalography (EEG) studies which have been applied to demented patients with the aim of distinguishing the various types of cognitive impairment. EEG studies revealed that patients at an early stage of FTD or AD displayed different patterns in the cortical localization of oscillatory activity across different frequency bands and in functional connectivity. Both classical EEG spectral analysis and EEG topography analysis are able to differentiate the different dementias at group level. The combination of standardized low-resolution brain electromagnetic tomography (sLORETA) and power parameters seems to improve the sensitivity, but spectral and connectivity biomarkers able to differentiate single patients have not yet been identified. The promising EEG findings should be replicated in larger studies, but could represent an additional useful, noninvasive, and reproducible diagnostic tool for clinical practice.


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