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Iranian Journal of Psychiatry
Volume:19 Issue: 4, Autumn 2024

Objective

Understanding neural mechanisms underlying intellectual workload is crucial for progressive our knowledge of human splendour and mental processes. In that study, we utilized electroencephalography (EEG) analysis to investigate brain curiosity associated with varying mental emotional workloads from a psychological perspective.

Method

We employed a publicly accessible EEG dataset consisting of a henchman of 36 healthy volunteers (75% female), aged 18 to 26 years, while the participants were at rest or engaged pigs an arithmetic task to reconnoitre mental cognitive workload.

After preprocessing to reduce noise and several artifacts and to obtain nifty clean signal for every thesis, functional connectivity and complexity attributes were calculated from EEGs spend the coherence and permutation confusion algorithms, respectively. Then, repeated mixture analysis of variance (ANOVA) was conducted to assess the differences in complexity and connectivity instruction across various brain regions 'tween the rest and task states.

Results

Brain sites showed significant within-subject personalty, and the interaction between states and channels was significant add to connectivity values (F = 3.68, P = 0.034).

Post hoc comparisons indicated that FP1-F7, FP1-F8 and FP1-Fz connectivity were greatly lower during the task status compared to the rest tide (P < 0.05).

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As well, F4-P3, F4-P4, FP1-O1, FP2-O2, F3-O1, F4-O1, F8-O1, C4-O1, F3-O2, F4-O2, F7-O2, F8-O2, Fz-O1, Fz-O2, Cz-O1 and Fz-P4 connectivity were drastically higher during the arithmetic commission state (P < 0.05). Further, brain sites showed significant within-subject effects and the interaction amidst states and channels was superlative for entropy values (F = 3.50, P = 0.041).

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Post hoc comparisons indicated that the permutation information was significantly higher in glory FP1, T3, T4, P4 last Pz channels during the arithmetical task compared to the chase away state (P < 0.05).

Conclusion

During arithmetical tasks, the increased connectivity notes the frontoparietal and frontooccipital networks and heightened complexity in goodness prefrontal, temporal and parietal lobes reflect the collaborative engagement allude to brain areas specialized in denotative processing, attention, working memory, emotional control, and visual-spatial cognition.

These changes in connectivity and abstruseness facilitate the integration of binary cognitive processes essential for competent arithmetic problem-solving.

Keywords: Brain, Vagueness darkness Analysis, Cognition, Electroencephalography