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Growing amounts of data indicate relationships be‑ tween resting state EEG and the cognitive functions of healthy subjects or symptoms of neurological disor‑ ders/dysfunctions in clinical investigations. To inves‑ tigate these correlations we designed an experiment in which participants were grouped on the basis of their resting state EEG spectral power and tested for differ‑ ences in event related potentials and behavioural per‑ formance during repeated tasks addressing attention processes. 33 healthy adults were tested twice (TEST and RETEST, two months apart) with top-down and bot‑ tom-up visual attention tasks. EEG was recorded during tasks and preceding resting state sessions. Analyses in‑ cluded: correlation between reaction times (RTs) and resting state EEG powers in theta, alpha, beta 1, and beta 2 bands, and two-way ANOVA analysis of the RTs and amplitudes of contingent negative variation (CNV) in TEST and RETEST of the two subgroups defined by highest and lowest resting state amplitudes. Only the beta 2 band power correlated with RTs measured in top-down and bottom-up attention tasks. Subjects with the lowest beta 2 resting state amplitudes were char‑ acterized by shortening of RTs and increasing ampli‑ tudes of the CNV wave in RETEST as compared to TEST. These findings posit a link between individual resting state brain activity in the beta 2 range and susceptibil‑ ity to long-term changes in the functional processing of visual stimuli. Supported by the National Centre for Research and Development grant POIR-01.01.01-00178/15 and Polish National Science Centre grant UMO2016/20/W/NZ4/003554.
INTRODUCTION: Information processing and stimuli filtering mechanisms are dispersed over many networks engaged in different processes and located all over the brain. In the present study, we examined neural correlates of attention-related working memory during the repeated modified delay match‑to‑sample test (DMTS). AIM(S): To find the most effective analytical method for assessment of attention related activity to be used in neurofeedback training. METHOD(S): In order to identify neuronal activity underlying state of increased attention, we used a DMTS test amended by control trials that did not require the engagement of attention and memory. These additional trials allowed us to compare the impact of attended versus passive conditions on electrical brain activity. We examined 14 subjects in 3 sessions performed within 10‑20 days. EEG was collected with 21 electrodes in the 10‑20 system. For each electrode channel and trial in selected time windows, we analyzed power in consecutive frequency bands (<40 Hz) and signal complexity measures, including sample entropy, Shannon entropy, and Higuchi fractal dimension (HFD). RESULTS: The results averaged over the whole group showed significant differences between EEG signals recorded during attentional and control trials on several electrodes. However, at the level of individual subjects, the selection of signals with such differences varied between subjects and applied methods. The most prominent effect of attention was observed in a window extracted from the 5-sec period of stimulus expectation and information retention, not accompanied by sample of the object. With repetition of DMTS sessions, the effect of differentiation of attentional and controls trials has been also emphasized in all analyzed measures. CONCLUSIONS: The results indicated the importance of the individual subject and session analysis and relevance of applying signal complexity methods to support spectral analysis in a further application.
The use of neurofeedback (NFB) in medical treatments, sport and art skills, rapidly increases. However, the mechanisms underlying NFB, its reliability and efficacy are still unclear. We reviewed 48 papers describing NFB training of adult, healthy subjects and performed our own, quantitative analysis on those which included control group (22). The analysis comprised: number of affected bands, group size, modality and intensity of training stimuli, number and position of electrodes. Correlation was measured with Kendall’s T between factors and training success in groups: ‘general’ (22) and ‘EEG’ (17). We found negative correlation for number of manipulated bands, and electrodes position at Cz. Positive correlations were found for number of electrodes. Our results suggests that: (1) NFB training targeted for many EEG bands is less efficient; (2) The detection of effects following NFB training requires multiple recording sites. Supported by Polish National Science Centre Grant UMO2012/07/B/NZ7/04383
Multi-Source Interference Task (MSIT) is frequent‑ ly used in fMRI research to robustly activate the cin‑ gulo‑fronto‑parietal attention network (CFP). MSIT contains two stimuli conditions: Easy, spatially con‑ gruent with no flanker distractors (EC), and Hard, with multi‑source interference, i.e. incongruent locations and flanker distractors (HI). In order to gradually in‑ crease MSIT difficulty and possibly observe progress‑ ing engagement of CFP network, we expanded it with two intermediate conditions: Easy with Incongruent (EI) digit locations (introduced for the first time); and Hard, with flanker distractors but Congruent digit loca‑ tions (HC). We used high‑density EEG (128 active elec‑ trodes) to study the dynamics of brain activity during MSIT+. Pilot EEG and behavioral (reaction times, RT) data were acquired from six participants. Gradual in‑ crease of RT was observed between four MSIT+ condi‑ tions, with flanker‑interference requiring more time than spatial incongruence. Power spectral analysis us‑ ing Welch method performed on z‑scored EEG data re‑ vealed significantly larger theta (4‑8 Hz) power in both incongruent versus congruent conditions, with the largest theta power observed for the most demanding HI trials. Inverse results were found for alpha power (8‑13 Hz), which was stronger in both congruent condi‑ tions in contrast to incongruent ones (highest alpha in easiest EC trials). Spectral analyses were repeated for electrode clusters: Frontal, Central, Parietal, Occipital, Posterior Temporal Left and Right, and Anterior Tem‑ poral Left and Right. Significant differences were also found for alpha and theta power: the strongest theta power was observed for Frontal cluster followed by Occipital electrodes. For alpha power, the strongest re‑ sults were found for Occipital and Frontal clusters. Our results are in line with earlier EEG MSIT literature and with established theory of midline frontal theta being a neural signature of anterior cingulate cortex activa‑ tion during conflict processing with its occurrence and power related to increasing task difficulty. Observed suppression of alpha in the more demanding conditions also corroborates the earlier proposal that alpha power seems to be inversely related to increased atten‑ tion demand. Observed discrepancies between behav‑ ioral and EEG results requires further study. Supported by National Science Centre, Poland, UMO‑2016/20/W/ NZ4/00354.
Most of recent studies of the role of cortical feedback in thalamocortical loop focused on its effect on thalamo-cortical relay (TCR) cells of the dorsal lateral geniculate nucleus (LGN). In a previous, physiological study we showed in cat visual system that cessation of cortical input decreased spontaneous activity of TCR cells and increased spontaneous firing of recurrent inhibitory interneurons located in the perigeniculate neucleus (PGN). To identify underlying mechanisms we studied several networks of point neurons with varied membrane properties, synaptic weights and axonal delays in NEURON simulator. We considered six network topologies. All models were robust against changes of axonal delays except for the delay between LGN feed-forward (f-f) interneuron and TCR cell. The best representation of physiological results gave models including reciprocally connected PGN cells driven by the cortex assuming slow decay of intracellular calcium. This indicates that thalamic reticular nucleus plays an essential role in the cortical influence over thalamo-cortical relay cells while the thalamic f-f interneurons are not essential in this process. The models revealed also that dependence of the PGN activity on the rate of calcium removal can be one of the key factors determining TCR response to diminished cortical input.
AIM: EEG-based neurofeedback trainings (EEG-NFB) belongs to a broader category of biofeedback techniques aimed to alter various physiological parameters such as heart rate (ECG-feedback), muscle tension (EMG-feedback) etc., with help of continuous feedback provided in a form of sensory information about the current value of a particular parameter. During EEG-NFB training EEG is recorded and the power of chosen frequency bands is fed back to a trainee in a form of sensory information. The trainings are founded on the assumption that one can learn to change the content of his/her EEG spectrum. In our experiment we aimed to verify the effectiveness of such training and study its mechanisms. METHODS: We chose to train healthy young participants to voluntarily up-regulate (n=6) and down-regulate (n=6) their beta band (15–22 Hz) amplitude recorded from the scalp electrodes placed at frontal and parietal positions (F3, F4, P3, P4) during visually guided monitor-play. As a control we used sham group (n=7), which feedback signal wasn’t related to recorded EEG but generated by the algorithm. RESULTS: We found that NFB training directed to this frequency band was inefficient – we did not observe any modification of the EEG beta band amplitudes neither within nor across the sessions of EEG-NFB. Instead, we observed training-induced increase of highfrequency activity of muscle origin (recorded by the same EEG electrodes) in three participants from group trained to up-regulate beta. CONCLUSIONS: In these cases EMG-driven effects were perceived as the true positive effect of EEG-NFB by trainers and trainees. Importantly, if the data were analyzed and presented according to the standards prevailing in the current EEG-NFB literature, the result of the study could be presented as positive, i.e. up-regulation of the beta band would be claimed successful. Supported by the Polish National Science Centre grant 2012/07/B/ NZ7.
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