Modification of EEG functional connectivity and EEG power spectra in overweight and obese patients with food addiction: An eLORETA study

2014 ◽  
Vol 9 (4) ◽  
pp. 703-716 ◽  
Author(s):  
Claudio Imperatori ◽  
Mariantonietta Fabbricatore ◽  
Marco Innamorati ◽  
Benedetto Farina ◽  
Maria Isabella Quintiliani ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Food Addiction ◽  
Power Spectra ◽  
Obese Patients ◽  
Eeg Power Spectra ◽  
Eeg Power ◽  
Eeg Functional Connectivity

scholarly journals Increased resting-state functional connectivity within theta and alpha frequency bands in dysphoria: Towards a novel measure of depression risk

2020 ◽  
Author(s):  
Carola Dell'Acqua ◽  
Shadi Ghiasi ◽  
Simone Messerotti ◽  
Alberto Greco ◽  
Claudio Gentili ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Power Spectra ◽  
Female Gender ◽  
Phase Coherence ◽  
Resting State Functional Connectivity ◽  
Alpha Asymmetry ◽  
Connectivity Patterns ◽  
Eeg Power ◽  
Eeg Functional Connectivity

Background: The understanding of neurophysiological correlates underlying the risk of developing depression may have a significant impact on its early and objective identification. Research has identified abnormal resting-state electroencephalography (EEG) power and functional connectivity patterns in major depression. However, the entity of dysfunctional EEG dynamics in dysphoria is yet unknown. Methods: 32-channel EEG was recorded in 26 female individuals with dysphoria and in 38 age-matched, female healthy controls. EEG power spectra and alpha asymmetry in frontal and posterior channels were calculated in a 4-minute resting condition. An EEG functional connectivity analysis was conducted through phase locking values, particularly mean phase coherence. Results: While individuals with dysphoria did not differ from controls in EEG spectra and asymmetry, they exhibited dysfunctional brain connectivity. Particularly, in the theta band (4-8 Hz), participants with dysphoria showed increased connectivity between right frontal and central areas and right temporal and left occipital areas. Moreover, in the alpha band (8-12 Hz), dysphoria was associated with increased connectivity between right and left prefrontal cortex and between frontal and central-occipital areas bilaterally. Limitations: All participants belonged to the female gender and were relatively young. Mean phase coherence did not allow to compute the causal and directional relation between brain areas. Conclusions: An increased EEG functional connectivity in the theta and alpha bands characterizes dysphoria. These patterns may be associated with the excessive self-focus and ruminative thinking that typifies depressive symptoms. EEG connectivity patterns may represent a promising measure to identify individuals with a higher risk of developing depression.

Aberrant EEG functional connectivity and EEG power spectra in resting state post-traumatic stress disorder: A sLORETA study

2014 ◽  
Vol 102 ◽  
pp. 10-17 ◽  
Author(s):  
Claudio Imperatori ◽  
Benedetto Farina ◽  
Maria Isabella Quintiliani ◽  
Antonio Onofri ◽  
Paola Castelli Gattinara ◽  
...  
Keyword(s):  
Post Traumatic Stress Disorder ◽  
Traumatic Stress ◽  
Resting State ◽  
Stress Disorder ◽  
Power Spectra ◽  
Post Traumatic Stress ◽  
Eeg Power Spectra ◽  
Post Traumatic ◽  
Eeg Power ◽  
Eeg Functional Connectivity

Effect of neurotoxin DSP4 on EEG power spectra in the rat acute model of epilepsy

1995 ◽  
Vol 196 (1-2) ◽  
pp. 49-52 ◽  
Author(s):  
Milka Ćulić ◽  
Jasna Šaponjić ◽  
Bogdan Janković ◽  
Slobodan Udović ◽  
Slaviša Popović ◽  
...  
Keyword(s):  
Power Spectra ◽  
Eeg Power Spectra ◽  
Eeg Power

The Effects of the Pulsing Magnetic Field on the Cerebral Circulation, Eeg Power Spectra and some Properties of the Blood. A Preliminary Data

1988 ◽  
Vol 7 (1) ◽  
pp. 131-132 ◽  
Author(s):  
D. Bartko ◽  
P. Turcani ◽  
J. Danisova ◽  
S. Janco ◽  
P. Traubner ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Preliminary Data ◽  
Cerebral Circulation ◽  
Power Spectra ◽  
Eeg Power Spectra ◽  
Eeg Power

Lipopolysaccharide increases EEG delta activity within non-REM sleep and disrupts sleep continuity in rats

1995 ◽  
Vol 268 (5) ◽  
pp. R1310-R1318 ◽  
Author(s):  
M. Lancel ◽  
J. Cronlein ◽  
P. Muller-Preuss ◽  
F. Holsboer
Keyword(s):  
Sleep Deprivation ◽  
Rem Sleep ◽  
Brain Temperature ◽  
Power Spectra ◽  
Eeg Activity ◽  
Eeg Power Spectra ◽  
Sleep Maintenance ◽  
Before And After ◽  
Delta Activity ◽  
Eeg Power

Activation of the immune system by microorganisms or specific microbial constituents promotes non-rapid-eye-movement (REM) sleep (non-REMS). In this study, we assessed the effects of lipopolysaccharide (LPS) on sleep duration, electroencephalogram (EEG) power spectra, and brain temperature (Tbr) in rats. Twenty-four hour recordings were made before and after intraperitoneal injection of vehicle or 30 or 100 micrograms/kg LPS at lights on. During the first 12 h after administration of both doses of LPS, Tbr was elevated, REMS duration was reduced, and non-REMS duration was unchanged, whereas the non-REMS episodes were shortened. EEG activity within non-REMS from 0.5 to 7 Hz was enhanced during hours 3-12. During the second 12-h period, the number of non-REMS and REMS episodes and the total time in both states were increased. EEG activity within non-REMS was mainly reduced in the entire frequency range (0.5-25.5 Hz). The effects of LPS did not differ between the doses. The effects of LPS on EEG power spectra are similar to those observed after sleep deprivation, i.e., a physiological intensification of non-REMS, indicating that both manipulations may activate common sleep EEG regulatory mechanisms. However, the disruption of non-REMS continuity following LPS administration at light onset contrasts the changes induced by sleep deprivation and may reflect an effect of a systemic inflammatory response on sleep maintenance.

Effect of sleep deprivation on sleep and EEG power spectra in the rat

1984 ◽  
Vol 14 (3) ◽  
pp. 171-182 ◽  
Author(s):  
Alexander A. Borbély ◽  
Irene Tobler ◽  
Mehmet Hanagasioglu
Keyword(s):  
Sleep Deprivation ◽  
Power Spectra ◽  
Eeg Power Spectra ◽  
Eeg Power
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