Cogn Neuropsychiatry: Asymmetry of pyelectral electricity in the resuscing forehead is associated with different dimensions of schizophrenic traits.

Common symptoms of schizophrenia include positive symptoms, negative symptoms, and cognitive impairment, affecting about 1% of the world's population.
characteristics of patients can also be observed in healthy individuals, but to a lesser extent, and are collectively referred to as divisive personality traits.
study of schizophrenic personality traits is a way to better understand these symptoms, with the advantage that the results are not disturbed by factors such as common medications, course of illness, and hospitalization experiences in patients.
static encephalopathic electrical signals that record an individual's state of silence and relaxation, reflecting the inner and inherent patterns of activity in the brain, are the basis of various cognitive activities.
previous studies have found that people with schizophrenia have abnormal e-brain power during rest and cognitive tasks, especially the increase in the power of the right frontal leaf relative to the left frontal leaf.
, this asymmetry in the left and right forehead is related to the different dimensions and severity of the patient's symptoms.
For example, a significant increase in the power of the right frontal loin relative to the left frontal loess gamma was observed in chronic patients with negative symptoms, while similar abnormal partialization was widespread in acute patients with positive symptoms in the theta, alpha, beta, and gamma bands.
the study, Dr. Wang Kwai and Yu Yanyang of the Key Mental Health Laboratory of the Chinese Academy of Sciences explored the association between the characteristics of schizophrenic personality traits in the general population and the asymmetry of static encephalopathy, and whether this association has cross-time stability.
study first used a split personality questionnaire to measure the split personality traits of 52 college students, and then recorded a five-minute static brain electricity.
to explore the stability of the cross-time, the subjects returned to the lab three months later to complete the same procedure.
for each measurement, the researchers calculated the total score of the divisive personality trait and the three dimensional scores: the cognitive-perceptic dimension, the interpersonal dimension, and the unorthortic dimension.
brain data uses fast Fourier transformations to calculate the absolute power of the six frequency bands of a single subject, delta, theta, alpha, beta1, beta2, and gamma.
the difference between the power of the left frontal leaf electrode and the right frontal leaf electrode as an indicator of electro-brain asymmetry.
results show that the total score of the split trait (r s.81, p slt; .01) and its three dimensions (r_values and .71, p_values and .01) all have high span-time stability;
the first measurement, the total score of the split trait is associated with beta2 (r s -.35, p slt; .05) and gamma (r s -.38, p slt; .01).
dimensions, this correlation mainly exists in the interpersonal dimension and the unothicial dimension.
between the interpersonal score and the unorganized dimension of the degenerative trait is associated with the asymmetry of the forebeta2 and gamma.
second measurement three months later, the total score of the split trait was associated with asymmetry in the forehead theta band (r -.36, p -lt; .05) and alpha band (r s -.38, p .lt; .05).
the cognitive-percessive and unsociate dimensions.
the cognitive-perceptual and unorganized dimensions associated with the asymmetry between theta and alpha traits.
addition, the study found a negative correlation between the asymmetry of the forebeta2 and gamma in the subjects (beta2: r s -.31, p slt; .01; gamma: r s -.34, p slt; .05).
, the study found that the association between split traits and the asymmetry of EPH in the resting forehead may not be limited to a single frequency band.
in previous studies have also reported that the combined use of low- and high-frequency (delta, theta, and beta2) of resting-state encephalopathic power is better able to predict the total score of split traits.
Importantly, although the split trait may be associated with different frequency bands of EPH in the resting state, there is always a negative correlation between the two, i.e. as the split trait increases, the subject may exhibit a decrease in left-hand power relative to the right frontal leaf in the resting state.
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