EEG-characteristics in rest and parameters of event related potentials when arythmetic problems solving in primary school children with different levels of mental arithmetic calculation skills

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Аннотация

The EEG/ERP study involved 8–9 year old schoolchildren (24 participants). The participants performed arithmetic tasks in a delayed response verification paradigm: first a problem was presented, then an answer, to which they had to react by pressing a button if it was correct and skip if the answer was incorrect. Differences in the parameters of event related potentials (ERP) were revealed between the group of schoolchildren who made more than 50% of errors (8 people) – children with mental calculation difficulties – and the group of schoolchildren who made less than 20% of errors (13 people) – children with normal formed mental calculation skills. In the group of well-counting schoolchildren (in comparison with poorly counting), when presented with a correct answer, a smaller latency of the P2 component (on the time interval of 140–200 ms) in the central and frontal cortical areas and a larger amplitude of the positive component related to P3 (292–616 ms) with a maximum of differences in the central, parietal, and temporal areas of the right hemisphere were revealed. When an incorrect answer was presented – in the group of well-counting schoolchildren there was a large amplitude of positive components in the wide time interval 272–1232 ms – in the central and parietal cortical areas with a maximum in the right hemisphere. The revealed differences in ERP amplitudes affect both earlier perceptual components (in particular, P2) and later semantic components of ERP, reflecting different stages of information processing and decision making. According to the data of the resting state EEG analysis, the spectral power in θ-, α1- and β1-bands of the EEG, as well as the value of the integral parameter of spatial connectivity calculated from the structural function of the multichannel EEG, was higher in students with mental calculation difficulties than in students with formed mental calculation skills. Taking into account the age dynamics of the analyzed EEG parameters, these differences may characterize a slower maturation of the brain regulatory mechanisms in children with mental calculation difficulties.

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Авторлар туралы

Zh. Nagornova

Sechenov Institute of Evolutionary Physiology and Biochemistry, RAS

Хат алмасуға жауапты Автор.
Email: nagornova_zh@mail.ru
Ресей, St. Petersburg

M. Trifonov

Sechenov Institute of Evolutionary Physiology and Biochemistry, RAS

Email: nagornova_zh@mail.ru
Ресей, St. Petersburg

E. Panasevich

Sechenov Institute of Evolutionary Physiology and Biochemistry, RAS

Email: nagornova_zh@mail.ru
Ресей, St. Petersburg

V. Rozhkov

Sechenov Institute of Evolutionary Physiology and Biochemistry, RAS

Email: nagornova_zh@mail.ru
Ресей, St. Petersburg

V. Galkin

Sechenov Institute of Evolutionary Physiology and Biochemistry, RAS

Email: nagornova_zh@mail.ru
Ресей, St. Petersburg

A. Grokhotova

Sechenov Institute of Evolutionary Physiology and Biochemistry, RAS

Email: nagornova_zh@mail.ru
Ресей, St. Petersburg

E. Zavodova

Sechenov Institute of Evolutionary Physiology and Biochemistry, RAS

Email: nagornova_zh@mail.ru
Ресей, St. Petersburg

S. Soroko

Sechenov Institute of Evolutionary Physiology and Biochemistry, RAS

Email: nagornova_zh@mail.ru
Ресей, St. Petersburg

N. Shemyakina

Sechenov Institute of Evolutionary Physiology and Biochemistry, RAS

Email: nagornova_zh@mail.ru
Ресей, St. Petersburg

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2. Fig. 1. Sample structure.

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3. Fig. 2. Response time and percentage of erroneous reactions in perception of correct and incorrect answers to arithmetic examples by students aged 8–9. The abscissa axis shows the relative number of erroneous answers, in %, the ordinate axis shows the reaction time, in ms. Each symbol (circle) corresponds to one of the students, the light circle shows the students who calculated satisfactorily, the dark gray circle shows the students who calculated unsatisfactorily.

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4. Fig. 3. Evoked potentials (EP) in perception of correct and incorrect solutions in the general group of primary school students aged 8–9. Each graph shows the EP from one electrode. On the graphs: the x-axis shows time (ms), the y-axis shows the EP amplitude (μV). The black line shows the EP when the correct solution is presented. The gray line shows the EP when the incorrect solution is presented. The line under each graph shows individual clusters and intervals of differences (I–IV). The vertical dotted lines show the start and end times of response presentation (presentation time is 200 ms).

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5. Fig. 4. Evoked potentials (EP) upon presentation of the correct answer in an arithmetic task. Each graph shows EP from one electrode (F3-T6). On the graphs: along the x-axis is time (ms), along the y-axis is EP amplitude (μV). The black line shows EP in the group of schoolchildren with a normal level of acquisition of oral arithmetic skills; the gray line shows EP in the group of schoolchildren with a low level of acquisition of oral arithmetic skills. The Fz graph shows the latencies of the peaks of averaged EP in the group with a normal (black arrows) and low (gray arrows) level of acquisition of oral arithmetic skills. The gray fill shows individual intervals (clusters I and II) of differences. The topograms represent the spatial distribution of the amplitude differences between the groups with normal and low levels of mental arithmetic skills acquisition in the corresponding clusters of amplitude maxima of differences (ms).

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6. Fig. 5. Evoked potentials (EP) upon presentation of an incorrect answer in an arithmetic task. Each graph is the EP from one electrode. On the graphs: along the x-axis is time (ms), along the y-axis is the EP amplitude (μV). The black line is the EP in the group of schoolchildren with normal levels of mental arithmetic skills acquisition; the gray line is the EP in the group of schoolchildren with low levels of mental arithmetic skills acquisition. The gray fill indicates the intervals of differences. The topograms represent the distribution of the amplitude differences between the groups with normal and low levels of mental arithmetic skills acquisition in the corresponding time points (ms).

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7. Fig. 6. Statistically significant differences in the electroencephalography (EEG) power spectra in the "eyes closed" state between the groups of participants with low and normal development of mental arithmetic skills by ranges. The upward-pointing triangle at the location of the corresponding lead is a higher EEG power value in the group with low mental arithmetic skills compared to the normal level, according to the post-hoc analysis (p < 0.05, using Fisher's LSD criterion).

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8. Fig. 7. Distribution of schoolchildren with different levels of success in completing an arithmetic task in the coordinate system of two integral EEG parameters. The abscissa axis is the pT value, relative units, the ordinate axis is the pS value, relative units. A is the resting state with eyes closed, B is the resting state with eyes open. Each symbol (circle) corresponds to one of the students, the number is the student's ordinal number; light circle – students with a normal level of acquisition of oral arithmetic skills, dark gray – students with a low level of acquisition of oral arithmetic skills.

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