Dataset of human medial temporal lobe neurons, scalp and intracranial EEG during a verbal working memory task

Boran, Ece; Fedele, Tommaso; Steiner, Adrian; Hilfiker, Peter; Stieglitz, Lennart; Grünwald, Thomas; Sarnthein, Johannes

doi:10.1038/s41597-020-0364-3

Cited by 34 publications

(41 citation statements)

References 27 publications

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“…Persistent firing of hippocampal neurons indicated hippocampal involvement in the maintenance of memory items (19)(20)(21). Parietal generators of theta-alpha EEG indicated involvement of parietal cortex in WM maintenance (3,5,7,19,27). The hippocampo-cortical phase synchrony (PLV) was high during maintenance of the high workload trials (19).…”

Section: Discussionmentioning

confidence: 99%

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

Dimakopoulos

Stieglitz

Mégevand

et al. 2021

Preprint

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Background: The maintenance of items in working memory (WM) relies on a widespread network of cortical areas and hippocampus where synchronization between electrophysiological recordings reflects functional coupling. We investigated the direction of information between sensory areas and hippocampus during encoding and maintenance of WM items. Methods: Participants (N=15) performed a WM task where a string of letters was presented all at once, thus separating the encoding period from the maintenance period. Participants mentally replayed the letters during maintenance. We recorded sEEG from the hippocampus, scalp EEG and, additionally in 3 participants, temporo-parietal ECoG. Results: When analyzing the information flow to and from auditory cortex by Granger causality, the flow was from ECoG over auditory cortex to hippocampus with a peak in the 12-24 Hz beta range while letters were presented, and this flow was subsequently reversed during maintenance, while letters were maintained in memory. The same pattern appeared to and from hippocampus with ECoG over temporo-parietal cortex. For scalp EEG, the pattern appeared on temporal sites, albeit in the 4-12 Hz theta-alpha range. While the pattern was significantly structured for correct trials, it was unstructured for incorrect trials. Conclusions: The functional interaction between hippocampus and cortex and the reversal of information flow provide a physiological basis for the encoding of memory items and their active replay during maintenance.

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Section: Discussionmentioning

confidence: 99%

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

Dimakopoulos

Stieglitz

Mégevand

et al. 2021

Preprint

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“…Electrode localization and clinical data were taken from the published datasets (Boran et al, 2019b , 2020a ; Fedele et al, 2020a , 2021 ). In brief, the patients were implanted with iEEG electrodes in MTL at Universitätsspital Zürich.…”

Section: Methodsmentioning

confidence: 99%

“…In these earlier studies, we recorded and associated the firing of single neurons with task performance, thereby confirming that the tasks were indeed activating regions of the MTL in the patients of this study (Boran et al, 2019a , 2020b ). The datasets are published for re-analysis (Boran et al, 2019b , 2020a ; Dimakopoulos et al, 2020 ; Fedele et al, 2020a , 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Epileptic High-Frequency Oscillations in Intracranial EEG Are Not Confounded by Cognitive Tasks

Boran

Stieglitz

Sarnthein

2021

Front. Hum. Neurosci.

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Rationale: High-frequency oscillations (HFOs) in intracranial EEG (iEEG) are used to delineate the epileptogenic zone during presurgical diagnostic assessment in patients with epilepsy. HFOs are historically divided into ripples (80–250 Hz), fast ripples (FR, >250 Hz), and their co-occurrence (FRandR). In a previous study, we had validated the rate of FRandRs during deep sleep to predict seizure outcome. Here, we ask whether epileptic FRandRs might be confounded by physiological FRandRs that are unrelated to epilepsy.Methods: We recorded iEEG in the medial temporal lobe MTL (hippocampus, entorhinal cortex, and amygdala) in 17 patients while they performed cognitive tasks. The three cognitive tasks addressed verbal working memory, visual working memory, and emotional processing. In our previous studies, these tasks activated the MTL. We re-analyzed the data of these studies with the automated detector that focuses on the co-occurrence of ripples and FRs (FRandR).Results: For each task, we identified those channels in which the HFO rate was modulated during the task condition compared to the control condition. However, the number of these channels did not exceed the chance level. Interestingly, even during wakefulness, the HFO rate was higher for channels within the seizure onset zone (SOZ) than for channels outside the SOZ.Conclusion: Our prospective definition of an epileptic HFO, the FRandR, is not confounded by physiological HFOs that might be elicited by our cognitive tasks. This is reassuring for the clinical use of FRandR as a biomarker of the EZ.

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“…Some participants participated in several cognitive tasks. The data obtained in one of these other cognitive tasks has already been analysed and published earlier 20 , 21 .…”

Section: Methodsmentioning

confidence: 99%

Dataset of spiking and LFP activity invasively recorded in the human amygdala during aversive dynamic stimuli

et al. 2021

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We present an electrophysiological dataset collected from the amygdalae of nine participants attending a visual dynamic stimulation of emotional aversive content. The participants were patients affected by epilepsy who underwent preoperative invasive monitoring in the mesial temporal lobe. Participants were presented with dynamic visual sequences of fearful faces (aversive condition), interleaved with sequences of neutral landscapes (neutral condition). The dataset contains the simultaneous recording of intracranial EEG (iEEG) and neuronal spike times and waveforms, and localization information for iEEG electrodes. Participant characteristics and trial information are provided. We technically validated this dataset and provide here the spike sorting quality metrics and the spectra of iEEG signals. This dataset allows the investigation of amygdalar response to dynamic aversive stimuli at multiple spatial scales, from the macroscopic EEG to the neuronal firing in the human brain.

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Dataset of human medial temporal lobe neurons, scalp and intracranial EEG during a verbal working memory task

Abstract: An example script is provided with the dataset. It contains code snippets for reading and plotting the data and information related to the subjects and the task. All code is implemented in MATLAB (Mathworks Inc., version R2016B on Windows).

Cited by 34 publications

References 27 publications

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

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

Epileptic High-Frequency Oscillations in Intracranial EEG Are Not Confounded by Cognitive Tasks

Dataset of spiking and LFP activity invasively recorded in the human amygdala during aversive dynamic stimuli

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