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Time-frequency analysis of auditory working memory

100%

Duda-Golawska J., Zygierewicz J.

Acta Neurobiologiae Experimentalis

2018

tom 78

nr Suppl.1

Working memory (WM) is defined as a cognitive system with a limited capacity that is responsible for temporarily holding task-relevant information (Sreenivasan et al., 2014). It is hypothesized that WM recruits the same brain areas that process sensory information. Huang et al. (2016) found, in a carefully crafted experiment that enabled the separation of ac‑ tivity related to working memory engaged in remem‑ bering tones from activity related to other mental pro‑ cesses, that there is an enhanced sustained field type activity during a high load task in sources seeded in the auditory cortex. The aim of the current study was to further analyse MEG data obtained from these au‑ ditory WM experiments for possible correlates of high WM load for tones. Specifically, we were interested in markers of auditory WM in the time-frequency do‑ main on the level of individual MEG sensors, especially those with a strong signal from the auditory cortex. We analysed 2 sec long epochs of signal from the delay period between two sounds under two different WM load conditions. We analysed contrast time-frequency maps with cluster-based extreme value statistics. The methodology and results are presented. References: Sreenivasan KK, Curtis CE, DʼEsposito M. Revisiting the role of persistent neural activity during working memory. Trends in Cognitive Sciences. 2014; 18: 82–89. Huang Y, Matysiak A, Heil P, König R, Brosch M. Per‑ sistent neural activity in auditory cortex is related to auditory working memory in humans and nonhuman primates. King AJ, ed. eLife. 2016; 5: e15441.

Exploratory and classical ANOVA analysis of response-locked event-related potentials

80%

Duda-Golawska J., Imbir K. K., Zygierewicz J.

Acta Neurobiologiae Experimentalis

2019

tom 79

nr Suppl.1

INTRODUCTION: In the classical approach, we assume that when designing the experiment in the way described in the literature, we can observe specific components of the event‑related potential (ERP) induced in specific areas of the brain with specific latencies. Using these standard methods of data analysis, i.e., looking for activity changes only in components commonly known from the literature, there is a risk of not noticing new, interesting effects. METHOD(S): In order to check if the data-driven approach gives the opportunity to verify the classical approach and whether it allows to better match the analysis, we compared it with the classical analysis, using data from emotional experiments. We investigated the electrophysiological correlates of execution of an ambiguous task under the influence of emotionality of words stored in working memory. RESULTS: The analysis of variance (ANOVA) classical analysis of ERP was compared with an exploratory approach using GFP (Global Field Power), calculated as spatial standard deviation. Analysis of the GFP curve was used to determine the time periods in which we performed a 4‑factor ANOVA with repeated measures. CONCLUSIONS: In the present case, we were able to find significant effects related to the valence and origin consistent with classical analysis while maintaining control of the statistical significance. Phenomena were shifted in the time domain and with a tilted pattern in the spatial distribution.

Ograniczanie wyników

2 Acta Neurobiologiae Experimentalis

2 Duda-Golawska J.

2 Zygierewicz J.

1 Imbir K. K.

1 2019

1 2018

Wyniki wyszukiwania

Time-frequency analysis of auditory working memory

Exploratory and classical ANOVA analysis of response-locked event-related potentials