Dataset Information

Neural oscillation amplitude in the frontal cortex predicts esport results.

ABSTRACT: In competitive matches, strategic decisions and emotional control are important. Relevant cognitive functions and corresponding neural activities in simple and short-term laboratory tasks have been reported. Brain resources are intensively allocated in the frontal cortex during strategic decision-making. The suppression of the frontal cortex with alpha-synchronization optimizes emotional control. However, no studies have reported the contribution of neural activity to the outcome of a more complex and prolonged task. To clarify this issue, we focused on a fighting video game following a two-round first-pass system. Frontal high-gamma and alpha power in the first and third pre-round periods, respectively, were found to be increased in a winning match. Furthermore, inter-participant variations in the importance of strategic decisions and emotional control in the first and third pre-round periods were correlated with frontal high-gamma and alpha power, respectively. Therefore, the psychological and mental state, involving frontal neural fluctuations, is predictive of match outcome.

SUBMITTER: Minami S

PROVIDER: S-EPMC10212977 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature

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Neural oscillation amplitude in the frontal cortex predicts esport results.

Minami Sorato S Watanabe Ken K Saijo Naoki N Kashino Makio M

iScience 20230509 6

In competitive matches, strategic decisions and emotional control are important. Relevant cognitive functions and corresponding neural activities in simple and short-term laboratory tasks have been reported. Brain resources are intensively allocated in the frontal cortex during strategic decision-making. The suppression of the frontal cortex with alpha-synchronization optimizes emotional control. However, no studies have reported the contribution of neural activity to the outcome of a more compl ...[more]

PMID: 37250772

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Project description:Frontotemporal dementia is clinically and neuropathologically heterogeneous, but neuroinflammation, atrophy and cognitive impairment occur in all of its principal syndromes. Across the clinical spectrum of frontotemporal dementia, we assess the predictive value of in vivo neuroimaging measures of microglial activation and grey-matter volume on the rate of future cognitive decline. We hypothesized that inflammation is detrimental to cognitive performance, in addition to the effect of atrophy. Thirty patients with a clinical diagnosis of frontotemporal dementia underwent a baseline multimodal imaging assessment, including [11C]PK11195 PET to index microglial activation and structural MRI to quantify grey-matter volume. Ten people had behavioural variant frontotemporal dementia, 10 had the semantic variant of primary progressive aphasia and 10 had the non-fluent agrammatic variant of primary progressive aphasia. Cognition was assessed at baseline and longitudinally with the revised Addenbrooke's Cognitive Examination, at an average of 7-month intervals (for an average of ∼2 years, up to ∼5 years). Regional [11C]PK11195 binding potential and grey-matter volume were determined, and these were averaged within four hypothesis-driven regions of interest: bilateral frontal and temporal lobes. Linear mixed-effect models were applied to the longitudinal cognitive test scores, with [11C]PK11195 binding potentials and grey-matter volumes as predictors of cognitive performance, with age, education and baseline cognitive performance as covariates. Faster cognitive decline was associated with reduced baseline grey-matter volume and increased microglial activation in frontal regions, bilaterally. In frontal regions, microglial activation and grey-matter volume were negatively correlated, but provided independent information, with inflammation the stronger predictor of the rate of cognitive decline. When clinical diagnosis was included as a factor in the models, a significant predictive effect was found for [11C]PK11195 BPND in the left frontal lobe (-0.70, P = 0.01), but not for grey-matter volumes (P > 0.05), suggesting that inflammation severity in this region relates to cognitive decline regardless of clinical variant. The main results were validated by two-step prediction frequentist and Bayesian estimation of correlations, showing significant associations between the estimated rate of cognitive change (slope) and baseline microglial activation in the frontal lobe. These findings support preclinical models in which neuroinflammation (by microglial activation) accelerates the neurodegenerative disease trajectory. We highlight the potential for immunomodulatory treatment strategies in frontotemporal dementia, in which measures of microglial activation may also improve stratification for clinical trials.

Dataset Information

Neural oscillation amplitude in the frontal cortex predicts esport results.

Publications

Neural oscillation amplitude in the frontal cortex predicts esport results.

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