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Dissecting gamma frequency activity during human memory processing

MT. Kucewicz, BM. Berry, V. Kremen, BH. Brinkmann, MR. Sperling, BC. Jobst, RE. Gross, B. Lega, SA. Sheth, JM. Stein, SR. Das, R. Gorniak, SM. Stead, DS. Rizzuto, MJ. Kahana, GA. Worrell,

. 2017 ; 140 (5) : 1337-1350.

Jazyk angličtina Země Velká Británie

Typ dokumentu časopisecké články, multicentrická studie

Perzistentní odkaz   https://www.medvik.cz/link/bmc18016706

Gamma frequency activity (30-150 Hz) is induced in cognitive tasks and is thought to reflect underlying neural processes. Gamma frequency activity can be recorded directly from the human brain using intracranial electrodes implanted in patients undergoing treatment for drug-resistant epilepsy. Previous studies have independently explored narrowband oscillations in the local field potential and broadband power increases. It is not clear, however, which processes contribute to human brain gamma frequency activity, or their dynamics and roles during memory processing. Here a large dataset of intracranial recordings obtained during encoding of words from 101 patients was used to detect, characterize and compare induced gamma frequency activity events. Individual bursts of gamma frequency activity were isolated in the time-frequency domain to determine their spectral features, including peak frequency, amplitude, frequency span, and duration. We found two distinct types of gamma frequency activity events that showed either narrowband or broadband frequency spans revealing characteristic spectral properties. Narrowband events, the predominant type, were induced by word presentations following an initial induction of broadband events, which were temporally separated and selectively correlated with evoked response potentials, suggesting that they reflect different neural activities and play different roles during memory encoding. The two gamma frequency activity types were differentially modulated during encoding of subsequently recalled and forgotten words. In conclusion, we found evidence for two distinct activity types induced in the gamma frequency range during cognitive processing. Separating these two gamma frequency activity components contributes to the current understanding of electrophysiological biomarkers, and may prove useful for emerging neurotechnologies targeting, mapping and modulating distinct neurophysiological processes in normal and epileptogenic brain.

Citace poskytuje Crossref.org

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