Bai · JMIR medical informatics 2026 · non-randomized comparative neuroimaging study · n=?

Effects of Social Media Use on Brain Dynamics in Young Male Adults: Multistage Concurrent Electroencephalography-Functional Magnetic Resonance Imaging Study.

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Level 3 - non-randomized controlled study

Non-randomized comparative cohort study with pre- and post-task neuroimaging

PubMed 42561423 · doi:10.2196/86963 · record verified 2026-08-31

What was done

Young male adults were categorized into heavy social media users (HSMU) and light social media users (LSMU) based on self-reported daily duration of social media use. All participants underwent baseline functional magnetic resonance imaging (fMRI), completed a 2-hour controlled social media use task, and then underwent concurrent electroencephalography (EEG) and fMRI scanning. Brain metrics evaluated included static and dynamic amplitudes of low-frequency fluctuations (sALFF and dALFF), static and dynamic functional connectivity (sFC and dFC), and EEG microstates.

What was found

No sample sizes, p-values, or numerical effect sizes are reported in the abstract. Directional findings include: - Baseline: HSMU showed lower dALFF variability in the middle frontal gyrus compared with LSMU. - Post-task fMRI: LSMU exhibited increased sALFF in the temporal lobe, decreased sALFF in middle and superior frontal gyri, reduced dALFF variability in the superior medial frontal gyrus, and increased sFC across nearly all networks. HSMU showed increased sALFF in the middle temporal gyrus, decreased sALFF in the inferior temporal gyrus, superior parietal gyrus, and prefrontal cortex, altered dALFF variability (decreased in middle frontal gyrus, increased in calcarine cortex), and reduced sFC between visual and default mode networks. - Post-task EEG microstates: HSMU demonstrated shorter duration of microstate A, shorter duration and lower coverage of microstate C, and longer duration and higher coverage of microstate D.

Why it matters

This study maps differential functional brain dynamics and EEG microstates associated with heavy versus light social media exposure, identifying candidate neuroimaging targets for future neuromodulation interventions.

Limits

The abstract omits participant sample size and exact quantitative metrics. The cohort was entirely male, limiting generalizability. User categorization was based on self-reported usage rather than objective tracking, and no non-social media control task was included.

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