Source-level analysis of brain activity in the process of learning and retrieving new information

Author(s):  
Vladimir Makarov ◽  
Vadim Grubov ◽  
Semen Kurkin ◽  
Nikita Smirnov
2019 ◽  
Vol 30 (3) ◽  
pp. 1708-1715
Author(s):  
Andrés Canales-Johnson ◽  
Emiliano Merlo ◽  
Tristan A Bekinschtein ◽  
Anat Arzi

Abstract Recent evidence indicates that humans can learn entirely new information during sleep. To elucidate the neural dynamics underlying sleep-learning, we investigated brain activity during auditory–olfactory discriminatory associative learning in human sleep. We found that learning-related delta and sigma neural changes are involved in early acquisition stages, when new associations are being formed. In contrast, learning-related theta activity emerged in later stages of the learning process, after tone–odor associations were already established. These findings suggest that learning new associations during sleep is signaled by a dynamic interplay between slow-waves, sigma, and theta activity.


2006 ◽  
Vol 18 (8) ◽  
pp. 1277-1291 ◽  
Author(s):  
Núria Sebastian-Gallés ◽  
Antoni Rodríguez-Fornells ◽  
Ruth de Diego-Balaguer ◽  
Begoña Díaz

Performance-based studies on the psychological nature of linguistic competence can conceal significant differences in the brain processes that underlie native versus nonnative knowledge of language. Here we report results from the brain activity of very proficient early bilinguals making a lexical decision task that illustrates this point. Two groups of Spanish-Catalan early bilinguals (Spanish-dominant and Catalan-dominant) were asked to decide whether a given form was a Catalan word or not. The nonwords were based on real words, with one vowel changed. In the experimental stimuli, the vowel change involved a Catalan-specific contrast that previous research had shown to be difficult for Spanish natives to perceive. In the control stimuli, the vowel switch involved contrasts common to Spanish and Catalan. The results indicated that the groups of bilinguals did not differ in their behavioral and event-related brain potential measurements for the control stimuli; both groups made very few errors and showed a larger N400 component for control nonwords than for control words. However, significant differences were observed for the experimental stimuli across groups: Specifically, Spanish-dominant bilinguals showed great difficulty in rejecting experimental nonwords. Indeed, these participants not only showed very high error rates for these stimuli, but also did not show an error-related negativity effect in their erroneous nonword decisions. However, both groups of bilinguals showed a larger correct-related negativity when making correct decisions about the experimental nonwords. The results suggest that although some aspects of a second language system may show a remarkable lack of plasticity (like the acquisition of some foreign contrasts), first-language representations seem to be more dynamic in their capacity of adapting and incorporating new information.


2016 ◽  
Vol 113 (46) ◽  
pp. 13251-13256 ◽  
Author(s):  
Svenja Brodt ◽  
Dorothee Pöhlchen ◽  
Virginia L. Flanagin ◽  
Stefan Glasauer ◽  
Steffen Gais ◽  
...  

Previous evidence indicates that the brain stores memory in two complementary systems, allowing both rapid plasticity and stable representations at different sites. For memory to be established in a long-lasting neocortical store, many learning repetitions are considered necessary after initial encoding into hippocampal circuits. To elucidate the dynamics of hippocampal and neocortical contributions to the early phases of memory formation, we closely followed changes in human functional brain activity while volunteers navigated through two different, initially unknown virtual environments. In one condition, they were able to encode new information continuously about the spatial layout of the maze. In the control condition, no information could be learned because the layout changed constantly. Our results show that the posterior parietal cortex (PPC) encodes memories for spatial locations rapidly, beginning already with the first visit to a location and steadily increasing activity with each additional encounter. Hippocampal activity and connectivity between the PPC and hippocampus, on the other hand, are strongest during initial encoding, and both decline with additional encounters. Importantly, stronger PPC activity related to higher memory-based performance. Compared with the nonlearnable control condition, PPC activity in the learned environment remained elevated after a 24-h interval, indicating a stable change. Our findings reflect the rapid creation of a memory representation in the PPC, which belongs to a recently proposed parietal memory network. The emerging parietal representation is specific for individual episodes of experience, predicts behavior, and remains stable over offline periods, and must therefore hold a mnemonic function.


NeuroImage ◽  
2014 ◽  
Vol 101 ◽  
pp. 159-167 ◽  
Author(s):  
Shaun Boe ◽  
Alicia Gionfriddo ◽  
Sarah Kraeutner ◽  
Antoine Tremblay ◽  
Graham Little ◽  
...  

2021 ◽  
Author(s):  
Andrej Novák ◽  
◽  
Iveta Škvareková

Paper describes research applications of biofeedback on psychological resistance analysis. Using scientific methods paper evaluated influence of stress and mental resistance of probands: pilots in training so-called cadets and volunteers not involved in piloting of any kind, so-called „nonpilots“. Devices Muse 2 and CorSence Elite are used to examine R-R intervals, sympathetic/parasympathetic activity ratio and brain activity during each examination sessions. Theses also aim at answering two core hypotheses. Do the pilots have greater mental resistance against stress due to training and frequent exposure to a highly stressful environment? And, are we able to find the answer to the previous question using the biofeedback examination method? Nonpilot group had 2,47 times thinner R-R interval than the pilot group and also had SNS index 1,77 times higher than the one in the pilot group. Unusual data can be observed once we look at the PNS index. According to data calculations, the final PNS index in the pilot group is 0,816 and the nonpilot group 0,7075 This situation can be described by the known effect of physical subsystems which can deviate these indexes. Significant differences between examined values verify hypothesis which says frequent exposure to highly stressful environment causes high mental resistance against stress for pilots. It is also safe to say that cardiologic biofeedback is a reliable tool for complex examination of induces stress levels. It wasn’t managed to verify MUSE 2 technology due to inconclusive data. It is believed that distortion of data from MUSE 2 is a consequence of a hygienic face mask. This exposure of its weakness shows brand new information for using such technologies.


2007 ◽  
Vol 42 (7) ◽  
Author(s):  
J. Regehr
Keyword(s):  

2015 ◽  
Vol 126 (6) ◽  
pp. e56
Author(s):  
Jun Matsubayashi ◽  
Wataru Tominaga ◽  
Masao Matsuhashi ◽  
Tatsuya Mima ◽  
Hidenao Fukuyama ◽  
...  

2015 ◽  
Author(s):  
Margarita Papadopoulou ◽  
Karl J Friston ◽  
Daniele Marinazzo

In cognitive neuroscience, electrical brain activity is most commonly recorded at the scalp. In order to infer the contributions and connectivity of underlying neuronal sources within the brain, it is necessary to reconstruct sensor data at the source level. Several approaches to this reconstruction have been developed, thereby solving the so-called implicit inverse problem (Michel et al. 2004). However, a unifying premise against which to validate these source reconstructions is seldom available. The dataset provided in this work, in which brain activity is simultaneously recorded on the scalp (non-invasively) by electroencephalography (EEG) and on the cortex (invasively) by electrocorticography (ECoG), can be of a great help in this direction. These multimodal recordings were obtained from a macaque monkey under in wakefulness and sedation. Our primary goal was to establish the connectivity architecture between two sources of interest (frontal and parietal), and to assess how their coupling changes over the conditions. We chose these sources because previous studies have shown that the connections between them are modified by anaesthesia (Boly et al. 2012). Our secondary goal was to evaluate the consistency of the connectivity results when analyzing sources recorded from invasive data (128 implanted ECoG sources) and source activity reconstructed from scalp recordings (19 EEG sensors) at the same locations as the ECoG sources. We conclude that the directed connectivity in the frequency domain between cortical sources reconstructed from scalp EEG is qualitatively similar to the connectivity inferred directly from cortical recordings, using both data-driven (directed transfer function; DTF) and biologically grounded (dynamic causal modelling; DCM) methods. Furthermore, the connectivity changes identified were consistent with previous findings (Boly et al. 2012). Our findings suggest that inferences about directed connectivity based upon non-invasive electrophysiological data have construct validity in relation to invasive recordings.


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