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. 2023 Feb 1;177(2):160-167.
doi: 10.1001/jamapediatrics.2022.4924.

Association of Habitual Checking Behaviors on Social Media With Longitudinal Functional Brain Development

Affiliations

Association of Habitual Checking Behaviors on Social Media With Longitudinal Functional Brain Development

Maria T Maza et al. JAMA Pediatr. .

Erratum in

  • Errors in Figures.
    [No authors listed] [No authors listed] JAMA Pediatr. 2023 Apr 1;177(4):440. doi: 10.1001/jamapediatrics.2023.0001. JAMA Pediatr. 2023. PMID: 36780149 Free PMC article. No abstract available.

Abstract

Importance: Social media platforms provide adolescents with unprecedented opportunities for social interactions during a critical developmental period when the brain is especially sensitive to social feedback.

Objective: To explore how adolescents' frequency of checking behaviors on social media platforms is associated with longitudinal changes in functional brain development across adolescence.

Design, setting, and participants: A 3-year longitudinal cohort study of functional magnetic resonance imaging (fMRI) among sixth- and seventh-grade students recruited from 3 public middle schools in rural North Carolina.

Exposures: At wave 1, participants reported the frequency at which they checked Facebook, Instagram, and Snapchat.

Main outcome or measure: Neural responses to the Social Incentive Delay task when anticipating receiving social feedback, measured annually using fMRI for 3 years. Participants saw a cue that indicated whether the social feedback (adolescent faces with emotional expressions) would be a reward, punishment, or neutral; after a delay, a target appeared and students responded by pressing a button as quickly as possible; a display of social feedback depended on trial type and reaction time.

Results: Of 178 participants recruited at age 12 years, 169 participants (mean [SD] age, 12.89 [0.58] years; range, 11.93-14.52 years; 91 [53.8%] female; 38 [22.5%] Black, 60 [35.5%] Latinx, 50 [29.6%] White, 15 [8.9%] multiracial) met the inclusion criteria. Participants with habitual social media checking behaviors showed lower neural sensitivity to social anticipation at age 12 years compared with those with nonhabitual checking behaviors in the left amygdala, posterior insula (PI), and ventral striatum (VS; β, -0.22; 95% CI, -0.33 to -0.11), right amygdala (β, -0.19; 95% CI, -0.30 to -0.08), right anterior insula (AI; β, -0.23; 95% CI, -0.37 to -0.09), and left dorsolateral prefrontal cortex (DLPFC; β, -0.29; 95% CI, -0.44 to -0.14). Among those with habitual checking behaviors, there were longitudinal increases in the left amygdala/PI/VS (β, 0.11; 95% CI, 0.04 to 0.18), right amygdala (β, 0.09; 95% CI, 0.02 to 0.16), right AI (β, 0.15; 95% CI, 0.02 to 0.20), and left DLPFC (β, 0.19; 95% CI, 0.05 to 0.25) during social anticipation, whereas among those with nonhabitual checking behaviors, longitudinal decreases were seen in the left amygdala/PI/VS (β, -0.12; 95% CI, -0.19 to -0.06), right amygdala (β, -0.10; 95% CI, -0.17 to -0.03), right AI (β, -0.13; 95% CI, -0.22 to -0.04), and left DLPFC (β, -0.10, 95% CI, -0.22 to -0.03).

Conclusions and relevance: The results of this cohort study suggest that social media checking behaviors in early adolescence may be associated with changes in the brain's sensitivity to social rewards and punishments. Further research examining long-term associations between social media use, adolescent neural development, and psychological adjustment is needed to understand the effects of a ubiquitous influence on development for today's adolescents.

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Conflict of interest statement

Conflict of Interest Disclosures: Dr Lindquist reported receiving grants from the National Institute on Drug Abuse (NIDA) during the conduct of the study and grants from the NIDA and the National Science Foundation outside the submitted work. Dr Prinstein reported receiving grants from the Winston Family Foundation during the conduct of the study. Dr Telzer reported receiving a grant from NIDA and funds from the Winston Family Foundation during the conduct of the study. No other disclosures were reported.

Figures

Figure 1.
Figure 1.. Functional Activation in the Left Amygdala, Posterior Insula (PI), and Ventral Striatum (VS) During the Anticipation of Social Feedback
A, Left amygdala (x, −26; y, −2; Z, −12)/PI (x, 34; y, 6; z, −4)/VS (x, −24; y, 14; z, −4) activation during social anticipation differed significantly across time, as a function of social media checking behaviors. B, The dotted vertical line indicates the mean age of participants when they reported the number of checks at wave 1. The shaded areas represent the spread of the data based on the SE of each group. aP < .05.
Figure 2.
Figure 2.. Functional Activation in the Right Amygdala During the Anticipation of Social Feedback
A, Right amygdala (x, 22; y, 4; z, −18) activation during social anticipation significantly differed across time as a function of social media checking behaviors. B, The dotted vertical line indicates the mean age of participants when they reported the number of checks at wave 1. The shaded areas represent the spread of the data based on the SE of each group. aP < .05.
Figure 3.
Figure 3.. Functional Activation in the Right Anterior Insula (AI) During the Anticipation of Social Feedback
A, Right AI (x, 36; y, 22; z, −4) activation during social anticipation significantly differed across time as a function of social media checking behaviors. B, The dotted vertical line indicates the mean age of participants when they reported the number of checks at wave 1. The shaded areas represent the spread of the data based on the SE of each group. aP < .05.
Figure 4.
Figure 4.. Functional Activation in the Left Dorsolateral Prefrontal Cortex (DLPFC) During the Anticipation of Social Feedback
A, DLPFC (x, 42; y, −42; z, 28) activation during social anticipation significantly differed across time, as a function of social media checking behaviors. B, The dotted vertical line indicates the mean age of participants when they reported the number of checks at wave 1. The shaded areas represent the spread of the data based on the SE of each group. aP < .05.

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