Information flows from hippocampus to auditory cortex during replay of verbal working memory items

Dimakopoulos, Vasileios; Mégevand, Pierre; Stieglitz, Lennart; Imbach, Lukas L.; Sarnthein, Johannes

doi:10.7554/elife.78677

Cited by 37 publications

(29 citation statements)

References 44 publications

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“…Future studies can profit from recent advances of high-precision MEG to reconstruct subcortical activity (Tzovara et al 2019) and study how the medial temporal lobe network interacts with prefrontal regions. Another limitation of our study is that because of the tight timing in our experimental setup we were not able to assess metrics of functional connectivity among our three target regions, which typically rely on oscillatory coupling, that evolves over longer temporal intervals (Dimakopoulos et al 2022). Our findings on the timing of onsets and peaks auditory responses and deviance effects provide a first indication on the information flow in the amygdalo-hippocampal-temporal network, that can be confirmed using longer sound intervals.…”

Section: Limitations and Future Directionsmentioning

confidence: 85%

“…Overall, our findings suggest that low frequency hippocampal activity contributes to the detection of auditory sequences and formation of auditory predictions. Low frequency activity in the hippocampus has been previously shown to mediate memory (E. L. Johnson et al 2018;Boran et al 2019;Dimakopoulos et al 2022) and predictions of future events (Sherman and Turk-Browne 2020). Our results expand the functions of low frequency hippocampal activity towards a role in maintaining an active model of environmental regularities.…”

Section: Subcortical Network Underlying Auditory Predictionsmentioning

confidence: 99%

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Auditory prediction hierarchy in the human hippocampus and amygdala

Tzovara

Fedele

Sarnthein

et al. 2022

Preprint

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Our brains can extract structure from the environment and form predictions given past sensory experience. Predictive circuits have been identified in wide-spread cortical regions. However, the contribution of subcortical areas, such as the hippocampus and amygdala in the formation of predictions remains under-explored. Here, we hypothesized that the hippocampus would be sensitive to predictability in sound sequences, while the amygdala would be sensitive to unexpected violations of auditory rules. We presented epileptic patients undergoing presurgical monitoring with standard and deviant sounds, in a predictable or unpredictable context. Onsets of auditory responses and unpredictable deviance effects were detected at earlier latencies in the temporal cortex compared to the amygdala and hippocampus. Deviance effects in 1-20 Hz local field potentials were detected in the lateral temporal cortex, irrespective of predictability. The amygdala showed stronger deviance responses in the unpredictable context. Additionally, low frequency deviance responses in the hippocampus (1-8 Hz) were observed in the predictable but not in the unpredictable context. Our results reveal a distributed cortical-subcortical network underlying the generation of auditory predictions, comprising temporal cortex, the hippocampus and amygdala, and suggest that the neural basis of sensory predictions and prediction error signals needs to be extended to subcortical regions.

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Section: Limitations and Future Directionsmentioning

confidence: 85%

Section: Subcortical Network Underlying Auditory Predictionsmentioning

confidence: 99%

Auditory prediction hierarchy in the human hippocampus and amygdala

Tzovara

Fedele

Sarnthein

et al. 2022

Preprint

Self Cite

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“…Functionally, replay events offer a mechanism for transferring recent experiences from the hippocampus to the cortex, enabling the encoding of stimulus relationships [41][42][43][44] .…”

Section: Discussionmentioning

confidence: 99%

Non-feature-specific elevated responses and feature-specific backward replay in human brain induced by visual sequence exposure

He,

Gong,

Wang

et al. 2023

Preprint

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The brain demonstrates a sustained capacity for cortical plasticity, as extensively studied in task-dependent training contexts. However, the cortical plasticity induced by exposure-based learning has been largely ignored despite its potential significance in promoting generalization and adaptability, thereby allowing individuals to effortlessly apply their knowledge across diverse tasks. One of the key mechanisms underlying the cortical plasticity induced by learning is the replay of learned events, as originally described for rodents and recently identified in humans. In the current study, we recorded magnetoencephalography (MEG) signals to investigate the relationship between exposure-based sequence learning and replay in the human brain. Participants were exposed to a predefined sequence of four motion directions for 30 min, and subsequently presented with start/end motion direction of the sequence as a cue aiming to induce replay of the motion sequence. During the post-cue blank period, we observed a backward replay of the motion sequence in a time-compressed manner. These effects were marginally significant even for a very brief exposure. However, when we flashed the second or third motion direction of the sequence as a cue, no replay events were observed. Further analyses revealed that activity in the medial temporal lobe (MTL) preceded the ripple power in the visual cortex at replay onset, implying a potentially coordinated relationship between the activity in the MTL and visual cortex. Taken together, our study demonstrated the rapid development of replay events induced by simple visual exposure in humans, providing new insights into the mechanisms underlying cortical plasticity even without explicit training tasks.

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“…In addition, future studies could examine if interactions between different areas also carry information about WM performance (see, e.g. Dimakopoulos et al. (2022) ).…”

Section: Discussionmentioning

confidence: 99%

Spiking burstiness and working memory in the human medial temporal lobe

Cocina

Vitalis

Caflisch

2022

Cerebral Cortex Communications

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Persistent activity has commonly been considered to be a hallmark of working memory (WM). Recent evidence indicates that neuronal discharges in the medial temporal lobe (MTL) are compatible with WM neural patterns observed in cortical areas. However, the characterization of this activity rarely consists of measurements other than firing rates of single neurons. Moreover, a varied repertoire of firing dynamics has been reported in the MTL regions, which motivate the more detailed examination of the relationships between WM processes and discharge patterns undertaken here. Specifically, we investigate at different resolution levels firing irregularities in electrode recordings from the hippocampus, amygdala, and the entorhinal cortex of epileptic patients during a WM task. We show that some types of (ir)regularities predict response times of the patients depending on the trial periods under consideration. Prominent burst activity at the population level is observed in the amygdala and entorhinal cortex during memory retrieval. In general, regular and bursty neurons contribute to the decoding of the memory load, yet they display important differences across the three anatomical areas. Our results suggest that non-random (non-Poisson) patterns are relevant for WM, which calls for the development and use of statistics complementary to mere spike counts.

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Information flows from hippocampus to auditory cortex during replay of verbal working memory items

Cited by 37 publications

References 44 publications

Auditory prediction hierarchy in the human hippocampus and amygdala

Auditory prediction hierarchy in the human hippocampus and amygdala

Non-feature-specific elevated responses and feature-specific backward replay in human brain induced by visual sequence exposure

Spiking burstiness and working memory in the human medial temporal lobe

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