HUMAN BRIAN MAPPING: Brain Morphological Indicator Predicts Severity of Internet Excessive Use

Internet Excessive Use (EIU) has become a health problem, especially among adolescents and young adults
.

Negative consequences include chronic sleep deprivation, deteriorating physical health, difficulty concentrating at work, and reduced intimacy with family members, all of which negatively impact quality of life

Internet Excessive Use (EIU) has become a health problem, especially among adolescents and young adults

Li Wan et al published a research article in the journal HUAMN BRAIN MAPPING, aiming to reveal (1) the relationship between brain morphological indicators and the severity of brain injury; (2) the influence of common factors on the relationship; (3) the reward system and other related brain regions in Relative advantage in EIU forecasting

research proposal

research proposal

The research data comes from 131 Internet users who are excessively used
.

Psychological measures included Internet use, quality of life, personality, symptoms of mental illness, impulsivity and thought suppression

The research data comes from 131 Internet users who are excessively used

The remaining variables in the model were left precentral area (curvature), left superior temporal gyrus (surface area), right cuneiform (fold index), right anterior cingulate coracoid (fold index), and injury avoidance

Factors in Linear Regression Models, Scatter Plots, and Fitted Lines

Factors in Linear Regression Models, Scatter Plots, and Fitted Lines

The independent variable is the EIU's score for the worst week in the past year
.

The independent variable is the EIU's score for the worst week in the past year
.

The study found that, in addition to the reward system, morphological indicators of the brain, including the left precentral gyrus (curvature), the left superior temporal gyrus (surface area), the right cuneiform (folded index), and the right anterior cingulate coracoid (folded) index), which can predict the severity of EIU, indicating widespread changes in the brain
.

The study found that, in addition to the reward system, morphological indicators of the brain, including the left precentral gyrus (curvature), the left superior temporal gyrus (surface area), the right cuneiform (folded index), and the right anterior cingulate coracoid (folded) index), which can predict the severity of EIU, indicating widespread changes in the brain
.

Morphological indicators of the brain, including left precentral gyrus (curvature), left superior temporal gyrus (surface area), right cuneiform (fold index), and right anterior cingulate coracoid (fold index), predict EIU severity degree, indicating widespread changes in the brain

Factors in Linear Regression Models, Scatter Plots, and Fitted Lines (Reward System)

Factors in Linear Regression Models, Scatter Plots, and Fitted Lines (Reward System)

Factors in Linear Regression Models, Scatter Plots, and Fitted Lines (Psychometrics)

Factors in Linear Regression Models, Scatter Plots, and Fitted Lines (Psychometrics)

The study concluded that changes in certain areas of the brain are more predictive and important for EIU than reward system and psychometric measures
.

The study concluded that changes in certain areas of the brain are more predictive and important for EIU than reward system and psychometric measures
.

Changes in certain areas of the brain are more predictive than reward system and psychometric measures and are more important for EIU

original source

Brain morphology, harm avoidance, and the severity of excessive internet use.

Brain morphology, harm avoidance, and the severity of excessive internet use.
Li Wan,First published: 25 March 2022 https://doi.
org/10.
1002/hbm.
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