scholarly journals Extended Visual Sequence Learning Leaves a Local Trace in the Spontaneous EEG

2021 ◽  
Vol 15 ◽  
Author(s):  
Serena Ricci ◽  
Elisa Tatti ◽  
Aaron B. Nelson ◽  
Priya Panday ◽  
Henry Chen ◽  
...  

We have previously demonstrated that, in rested subjects, extensive practice in a motor learning task increased both electroencephalographic (EEG) theta power in the areas involved in learning and improved the error rate in a motor test that shared similarities with the task. A nap normalized both EEG and performance changes. We now ascertain whether extensive visual declarative learning produces results similar to motor learning. Thus, during the morning, we recorded high-density EEG in well rested young healthy subjects that learned the order of different visual sequence task (VSEQ) for three one-hour blocks. Afterward, a group of subjects took a nap and another rested quietly. Between each VSEQ block, we recorded spontaneous EEG (sEEG) at rest and assessed performance in a motor test and a visual working memory test that shares similarities with VSEQ. We found that after the third block, VSEQ induced local theta power increases in the sEEG over a right temporo-parietal area that was engaged during the task. This local theta increase was preceded by increases in alpha and beta power over the same area and was paralleled by performance decline in the visual working memory test. Only after the nap, VSEQ learning rate improved and performance in the visual working memory test was restored, together with partial normalization of the local sEEG changes. These results suggest that intensive learning, like motor learning, produces local theta power increases, possibly reflecting local neuronal fatigue. Sleep may be necessary to resolve neuronal fatigue and its effects on learning and performance.

2017 ◽  
Author(s):  
Ed David John Berry ◽  
Amanda Waterman ◽  
Alan D. Baddeley ◽  
Graham J. Hitch ◽  
Richard John Allen

Recent research has demonstrated that, when instructed to prioritize a serial position in visual working memory, adults are able to boost performance for this selected item, at a cost to non-prioritized items (e.g. Hu et al., 2014). While executive control appears to play an important role in this ability, the increased likelihood of recalling the most recently presented item (i.e. the recency effect) is relatively automatic, possibly driven by perceptual mechanisms. In three experiments 7 to 10-year-old’s ability to prioritize items in working memory was investigated using a sequential visual task (total N = 208). The relationship between individual differences in working memory and performance on the experimental task was also explored. Participants were unable to prioritize the first (Experiments 1 & 2) or final (Experiment 3) item in a 3-item sequence, while large recency effects for the final item were consistently observed across all experiments. The absence of a priority boost across three experiments indicates that children may not have the necessary executive resources to prioritize an item within a visual sequence, when directed to do so. In contrast, the consistent recency boosts for the final item indicate that children show automatic memory benefits for the most recently encountered stimulus. Finally, for the baseline condition in which children were instructed to remember all three items equally, additional working memory measures predicted performance at the first and second but not the third serial position, further supporting the proposed automaticity of the recency effect in visual working memory.


2010 ◽  
Vol 22 (9) ◽  
pp. 1906-1916 ◽  
Author(s):  
Koen B. E. Böcker ◽  
Claudine C. Hunault ◽  
Jeroen Gerritsen ◽  
Maaike Kruidenier ◽  
Tjeert T. Mensinga ◽  
...  

Object representations in working memory depend on neural firing that is phase-locked to oscillations in the theta band (4–8 Hz). Cannabis intake disrupts synchronicity of theta oscillations and interferes with memory performance. Sixteen participants smoked cigarettes containing 0.0, 29.3, 49.1, or 69.4 mg Δ9-tetrahydrocannabinol (THC) in a randomized crossover design and performed working memory and general attention tasks. Dose-dependent effects of THC were observed for resting state EEG theta and beta power, working memory (per-item search time), and attentional performance (percent errors and RT). The THC effects on EEG theta power and memory performance were correlated, whereas other EEG and behavioral effects were not. These findings confirm and extend previous results in rodents and humans, and corroborate a neurocomputational model that postulates that temporal aspects of information processing in working memory depend causally on nested oscillations in the theta and gamma (>30 Hz) bands.


2007 ◽  
Vol 28 (12) ◽  
pp. 1401-1414 ◽  
Author(s):  
Kristina T. Ciesielski ◽  
Matti S. Hämäläinen ◽  
Daniel A. Geller ◽  
Sabine Wilhelm ◽  
Timothy E. Goldsmith ◽  
...  

2021 ◽  
Author(s):  
Elisa Tatti ◽  
Francesca Ferraioli ◽  
Jaime Peter ◽  
Tomi Alalade ◽  
Aaron Bruce Nelson ◽  
...  

Abstract Recently we found that enhancements of movement-related beta (13.5–25 Hz) modulation (measured as event-related desynchronization peak to synchronization peak) during a simple reaching test (mov) occur over frontal and left sensorimotor regions after extended practice in a visuo-motor adaptation task (ROT) but not after similar duration practice in a visual learning task. Here we verify whether those enhancements are also trigged by motor practice alone or the additional learning component inherent in the visuo-motor adaptation task is needed. In healthy young subjects, beta modulation during mov increased over frontal and contralateral sensorimotor areas after three-hour practice of either ROT or reaching movements without visuo-motor adaptation (MOT). However, while the increase over the left area was similar after the two tasks, the frontal increase was greater after ROT practice. These findings confirm previous reports that extensive practice leaves local traces in beta power both at rest and during the subsequent execution of a motor test. They further suggest that, since they occur after motor tasks with (ROT) and without learning (MOT), these traces likely express the cost of processes necessary both for usage of these areas and for the engagement of long-term potentiation mechanisms necessary for creating new internal models.


SLEEP ◽  
2020 ◽  
Author(s):  
Aaron B Nelson ◽  
Serena Ricci ◽  
Elisa Tatti ◽  
Priya Panday ◽  
Elisa Girau ◽  
...  

Abstract Do brain circuits become fatigued due to intensive neural activity or plasticity? Is sleep necessary for recovery? Well-rested subjects trained extensively in a visuo-motor rotation learning task (ROT) or a visuo-motor task without rotation learning (MOT), followed by sleep or quiet wake. High-density electroencephalography showed that ROT training led to broad increases in EEG power over a frontal cluster of electrodes, with peaks in the theta (mean ± SE: 24% ± 6%, p = 0.0013) and beta ranges (10% ± 3%, p = 0.01). These traces persisted in the spontaneous EEG (sEEG) between sessions (theta: 42% ± 8%, p = 0.0001; beta: 35% ± 7%, p = 0.002) and were accompanied by increased errors in a motor test with kinematic characteristics and neural substrates similar to ROT (81.8% ± 0.8% vs. 68.2% ± 2.3%; two-tailed paired t-test: p = 0.00001; Cohen’s d = 1.58), as well as by score increases of subjective task-specific fatigue (4.00 ± 0.39 vs. 5.36 ± 0.39; p = 0.0007; Cohen’s d = 0.60). Intensive practice with MOT did not affect theta sEEG or the motor test. A nap, but not quiet wake, induced a local sEEG decrease of theta power by 33% (SE: 8%, p = 0.02), renormalized test performance (70.9% ± 2.9% vs 79.1% ± 2.7%, p = 0.018, Cohen’s d = 0.85), and improved learning ability in ROT (adaptation rate: 71.2 ± 1.2 vs. 73.4 ± 0.9, p = 0.024; Cohen’s d = 0.60). Thus, sleep is necessary to restore plasticity-induced fatigue and performance.


2018 ◽  
Vol 120 (6) ◽  
pp. 3275-3286 ◽  
Author(s):  
Ananda Sidarta ◽  
Floris T. van Vugt ◽  
David J. Ostry

Recent studies using visuomotor adaptation and sequence learning tasks have assessed the involvement of working memory in the visuospatial domain. The capacity to maintain previously performed movements in working memory is perhaps even more important in reinforcement-based learning to repeat accurate movements and avoid mistakes. Using this kind of task in the present work, we tested the relationship between somatosensory working memory and motor learning. The first experiment involved separate memory and motor learning tasks. In the memory task, the participant’s arm was displaced in different directions by a robotic arm, and the participant was asked to judge whether a subsequent test direction was one of the previously presented directions. In the motor learning task, participants made reaching movements to a hidden visual target and were provided with positive feedback as reinforcement when the movement ended in the target zone. It was found that participants that had better somatosensory working memory showed greater motor learning. In a second experiment, we designed a new task in which learning and working memory trials were interleaved, allowing us to study participants’ memory for movements they performed as part of learning. As in the first experiment, we found that participants with better somatosensory working memory also learned more. Moreover, memory performance for successful movements was better than for movements that failed to reach the target. These results suggest that somatosensory working memory is involved in reinforcement motor learning and that this memory preferentially keeps track of reinforced movements. NEW & NOTEWORTHY The present work examined somatosensory working memory in reinforcement-based motor learning. Working memory performance was reliably correlated with the extent of learning. With the use of a paradigm in which learning and memory trials were interleaved, memory was assessed for movements performed during learning. Movements that received positive feedback were better remembered than movements that did not. Thus working memory does not track all movements equally but is biased to retain movements that were rewarded.


Author(s):  
Pravin Kumar Subbaraj ◽  
Kavitha Anandan ◽  
Geethanjali Balasubramanian ◽  
Mahesh Veezhinathan

Cognitive measures are directed to assess the load of working memory while performing different tasks. Excessive load on working memory hinders learning or performance of individuals. Lexile measure is the current tool used in assessing the difficulty levels of text reading in English language. Studies on correlating the cognitive load with EEG for classifying tasks based on Lexile measures have been performed for native English speakers. In this work, an attempt has been made to analyze the scope of Lexile measure for assessing the cognitive load of normal subjects. The protocol included reading and recall of texts with different Lexile complexities followed by resting phases. For increasing Lexile level complexities, a considerable increase in cognitive processing was noticed during task phase. Further, an increase in beta power was noticed at the central region indicating active information processing and decision making. Relative theta power (R?=0.11) was significant (p=0.022) in low Lexile level material and gradually decreased as the difficulty level of the tasks increased. Relative theta power was found to be decreasing as the complexity level of the text material increased and was found to dominate in both mid frontal and mid parietal regions during the recall phase. During test phase an increase in alpha power was observed at parietal region reflecting active information processing. This was evident from the highly significant (p=0.022), relative alpha power (Ra =0.036) for recall of high complexity Lexile material compared to medium (Ra=0.005) and low (Ra=0.005) level materials. Thus, it is seen that this study could be more effective in analyzing the cognitive load of subjects with different working memory efficiency. Also, while performing analysis on instructional material design based on cognitive load of different subjects, such procedures seem to be more significant.


2003 ◽  
Vol 12 (3) ◽  
pp. 376-402 ◽  
Author(s):  
J.P Maxwell ◽  
R.S.W Masters ◽  
F.F Eves

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