2017
DOI: 10.1038/s41467-017-02108-9
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Hippocampal-prefrontal theta-gamma coupling during performance of a spatial working memory task

Abstract: Cross-frequency coupling supports the organization of brain rhythms and is present during a range of cognitive functions. However, little is known about whether and how long-range cross-frequency coupling across distant brain regions subserves working memory. Here we report that theta-slow gamma coupling between the hippocampus and medial prefrontal cortex (mPFC) is augmented in a genetic mouse model of cognitive dysfunction. This increased cross-frequency coupling is observed specifically when the mice succes… Show more

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Cited by 160 publications
(164 citation statements)
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“…It has been previously argued that for CA1, this corresponds to the phenomenon of theta-gamma coupling, where optimal improvement in decoding accuracy corresponds to number of nested gamma (~40-80 Hz) cycles within theta cycles (Jensen and Lisman, 2000). Theta-gamma coupling is also known to be related to CA1 theta sequences (Colgin, 2011; Zheng et al, 2016), and theta-gamma coupling has also been recently reported in hippocampal-prefrontal networks (Tamura et al, 2017), raising the possibility that a similar phenomenon can influence PFC spatial representations.…”
Section: Discussionmentioning
confidence: 99%
“…It has been previously argued that for CA1, this corresponds to the phenomenon of theta-gamma coupling, where optimal improvement in decoding accuracy corresponds to number of nested gamma (~40-80 Hz) cycles within theta cycles (Jensen and Lisman, 2000). Theta-gamma coupling is also known to be related to CA1 theta sequences (Colgin, 2011; Zheng et al, 2016), and theta-gamma coupling has also been recently reported in hippocampal-prefrontal networks (Tamura et al, 2017), raising the possibility that a similar phenomenon can influence PFC spatial representations.…”
Section: Discussionmentioning
confidence: 99%
“…(3) the implication of theta-gamma coupling in working memory which may serve as a biomarker of behavioural performance (Axmacher et al, 2010;Park et al, 2013;Tamura, Spellman, Rosen, Gogos, & Gordon, 2017;Tort et al, 2009). …”
Section: Selection Of Individualised Frequencies Of Itbs Based On Tmentioning
confidence: 99%
“…The individualised frequency for Ind iTBS was determined by the phase-amplitude cross-frequency coupling (PAC) between frontal theta (phase) and parietal gamma (amplitude) oscillations during the 3-back task. The rationale for using working memory task EEG rather than resting EEG for the individualisation was: (1) to mimic the original TBS study in mice where the stimulation protocol was derived from the patterns of neuronal firing which occurred during learning or exploratory behaviour (Larson et al, 1986); (2) to minimise the variance of individuals' state by actively engaging in the same task for each subject, in contrast to resting EEG recordings during which participants could be performing a wide variety of neural functions and (3) the implication of theta-gamma coupling in working memory which may serve as a biomarker of behavioural performance (Axmacher et al, 2010;Park et al, 2013;Tamura, Spellman, Rosen, Gogos, & Gordon, 2017;Tort et al, 2009).…”
Section: Selection Of Individualised Frequencies Of Itbs Based On Tmentioning
confidence: 99%
“…Recent reviews highlight the role of hippocampal-prefrontal interactions across different cognitive domains, such as goal-directed behavior (Womelsdorf et al, 2010), emotion (Jin and Maren, 2015), context-guided memory (Place et al, 2016), episodic memory (Eichenbaum, 2017), decision-making (Tamura et al, 2017) and spatial learning (Maharjan et al, 2018). Here, we sought to revisit and further characterize the electrophysiological signatures of hippocampal-prefrontal interactions during spatial decision.…”
Section: Introductionmentioning
confidence: 99%