scholarly journals High-gamma activity in the human hippocampus and parahippocampus during inter-trial rest periods of a virtual navigation task

NeuroImage ◽  
2018 ◽  
Vol 178 ◽  
pp. 92-103 ◽  
Author(s):  
Yi Pu ◽  
Brian R. Cornwell ◽  
Douglas Cheyne ◽  
Blake W. Johnson
2018 ◽  
Author(s):  
Yi Pu ◽  
Brian R. Cornwell ◽  
Douglas Cheyne ◽  
Blake W. Johnson

AbstractIn rodents, hippocampal cell assemblies formed during learning of a navigation task are observed to re-emerge during resting (offline) periods, accompanied by high-frequency oscillations (HFOs). This phenomenon is believed to reflect mechanisms for strengthening newly-formed memory traces. Using magnetoencephalography recordings and a beamforming source location algorithm (synthetic aperture magnetometry), we investigated high-gamma (80 – 140 Hz) oscillations in the hippocampal region in 18 human participants during inter-trial rest periods in a virtual navigation task. We found right hippocampal gamma oscillations mirrored the pattern of theta power in the same region during navigation, varying as a function of environmental novelty. Gamma power during inter-trial rest periods was positively correlated with theta power during navigation in the first training set when the environment was new and predicted faster learning in the subsequent training set two where the environment became familiar. These findings provide evidence for human hippocampal reactivation accompanied by high-gamma activities immediately after learning and establish a link between hippocampal high-gamma activities and memory consolidation.


2018 ◽  
Vol 15 (2) ◽  
pp. 026015 ◽  
Author(s):  
Leah Muller ◽  
John D Rolston ◽  
Neal P Fox ◽  
Robert Knowlton ◽  
Vikram R Rao ◽  
...  

2016 ◽  
Vol 127 (1) ◽  
pp. 277-284 ◽  
Author(s):  
Jared D. Olson ◽  
Jeremiah D. Wander ◽  
Lise Johnson ◽  
Devapratim Sarma ◽  
Kurt Weaver ◽  
...  
Keyword(s):  

2019 ◽  
Author(s):  
S. A. Herff ◽  
C. Herff ◽  
A. J. Milne ◽  
G. D. Johnson ◽  
J. J. Shih ◽  
...  

AbstractRhythmic auditory stimuli are known to elicit matching activity patterns in neural populations. Furthermore, recent research has established the particular importance of high-gamma brain activity in auditory processing by showing its involvement in auditory phrase segmentation and envelope-tracking. Here, we use electrocorticographic (ECoG) recordings from eight human listeners, to see whether periodicities in high-gamma activity track the periodicities in the envelope of musical rhythms during rhythm perception and imagination. Rhythm imagination was elicited by instructing participants to imagine the rhythm to continue during pauses of several repetitions. To identify electrodes whose periodicities in high-gamma activity track the periodicities in the musical rhythms, we compute the correlation between the autocorrelations (ACC) of both the musical rhythms and the neural signals. A condition in which participants listened to white noise was used to establish a baseline. High-gamma autocorrelations in auditory areas in the superior temporal gyrus and in frontal areas on both hemispheres significantly matched the autocorrelation of the musical rhythms. Overall, numerous significant electrodes are observed on the right hemisphere. Of particular interest is a large cluster of electrodes in the right prefrontal cortex that is active during both rhythm perception and imagination. This indicates conscious processing of the rhythms’ structure as opposed to mere auditory phenomena. The ACC approach clearly highlights that high-gamma activity measured from cortical electrodes tracks both attended and imagined rhythms.


eLife ◽  
2018 ◽  
Vol 7 ◽  
Author(s):  
Michael Krumin ◽  
Julie J Lee ◽  
Kenneth D Harris ◽  
Matteo Carandini

Posterior parietal cortex (PPC) has been implicated in navigation, in the control of movement, and in visually-guided decisions. To relate these views, we measured activity in PPC while mice performed a virtual navigation task driven by visual decisions. PPC neurons were selective for specific combinations of the animal's spatial position and heading angle. This selectivity closely predicted both the activity of individual PPC neurons, and the arrangement of their collective firing patterns in choice-selective sequences. These sequences reflected PPC encoding of the animal’s navigation trajectory. Using decision as a predictor instead of heading yielded worse fits, and using it in addition to heading only slightly improved the fits. Alternative models based on visual or motor variables were inferior. We conclude that when mice use vision to choose their trajectories, a large fraction of parietal cortex activity can be predicted from simple attributes such as spatial position and heading.


2016 ◽  
Vol 58 ◽  
pp. 398-406 ◽  
Author(s):  
Kara Murias ◽  
Kathy Kwok ◽  
Adrian Gil Castillejo ◽  
Irene Liu ◽  
Giuseppe Iaria

2014 ◽  
Vol 82 (5) ◽  
pp. 912.e1-912.e10 ◽  
Author(s):  
Hiroshi Ogawa ◽  
Kyousuke Kamada ◽  
Christoph Kapeller ◽  
Satoru Hiroshima ◽  
Robert Prueckl ◽  
...  

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