Electroencephalographic Study of Gamma Rhythm in the Autobiographical Memory Evocation Mediated by Musical Stimuli

Abstract

Listening to music, or part of it, may stir the memory of a past moment, along with its associated emotions, such occurrences are known as autobiographical memories. Electroencephalographic (EEG) studies have shown alterations in memory recall and musical processing. However, no research was found showing a relation among music, autobiographical memories and associated emotions. The purpose of this study was to identify cortical areas involved in the evocation of autobiographical memory (associated with positive and negative events) mediated by musical stimuli. For that, gamma rhythm was analyzed through EEG recordings performed by 45 male volunteers while they were submitted to two stimuli: 1) the music capable of recalling memories associated to a positive event; 2) the music capable of evoking memories associated to a negative event. Gamma band analysis was used in search of greater brain electrical activity. As results, researchers observed increased activity in right brain hemisphere during the musical processing, besides its hypoactivation when volunteers were submitted to musical stimuli related to memories of negative events.

The search for new pathogenesis of cardiorenal syndrome: the effect of local Schumann resonance on the occurrence of episodes of kidney disease and myocardial infarction

“…The gamma rhythm coincides in frequency with muscle potentials, is observed when solving problems that require maximum concentrated attention, and makes it possible to judge the balance of inhibitory and excitatory impulses, helping to identify its disorders in a person. If the amplitude of the gamma rhythm is above 15 μV, the electroencephalogram is considered pathological [64][65][66][67].…”

Interconnections between local Schumann resonances and episodes of kidney disease

“…In the estimated power curve on the frequency range, from 0 to 65 Hz there is a series of dominant Schumann resonance frequencies, which are divided into ranges that overlap with the EEG wave classification (as related processes): 0 to 3.5 Hz -Delta waves (P1), 3.5 to 7 Hz -Theta waves (P2), 7 to 15 Hz -Alpha waves (P3), 15 to 32 Hz -Beta waves (P4), 32 to 100 Hz -Gamma waves (P5) [46,47]. Mean power of local magnetic field fluctuations in Lithuania, measured in pT2 s2 in five different frequency ranges which overlaps the Schumann resonance and EEG frequency ranges (we named them as SDelta (0-3,5 Hz), STheta (3,5-7 Hz), SAlpha (7-15 Hz), SBeta (15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32) and SGamma to distinguish them from the EEG bands). Average readings of Schumann's local Earth magnetic field dynamics with hospitalization data were compared by calendar weeks of the year.…”