A comprehensive review of neuroimaging studies suggests that problematic smartphone use is associated with distinct structural and functional changes in the brain. These changes primarily involve neural circuits responsible for reward processing, executive control, and emotional regulation.
This analysis shows that the powerful motivators of smartphones may be due to how these devices tap into the brain’s social cognitive networks and reinforce habits through digital social feedback and avoidance of social exclusion. These findings were published in the journal Advances in neuropsychopharmacology and biological psychiatry.
The use of smartphones is pervasive around the world and integrated into nearly every aspect of modern daily life for billions of people. Although these devices offer many benefits in communication and information access, over-involvement is associated with negative outcomes for some people, including sleep disturbances, increased anxiety, and decreased cognitive performance.
Scientists are increasingly viewing this phenomenon through the lens of behavioral addiction, and much research has been conducted into its underlying neurobiology. The researchers behind the new paper aimed to integrate growing amounts of neuroimaging data to better understand the brain mechanisms that drive problematic smartphone use.
“Problematic smartphone use is increasingly discussed as a clinically relevant behavioral pattern, but its neurobiological basis remains incompletely understood. Existing studies have identified structural and functional changes in the brain, but the field is still characterized by conceptual heterogeneity, variation in terminology, and limited integration of neuroscientific findings with psychologically meaningful models,” said study author Robert Christian Wolff, deputy director of the Department of General Psychiatry at Heidelberg University Hospital.
“We were particularly struck by the fact that, despite the inherently social nature of smartphone use, social cognitive mechanisms have received relatively little attention in neuroimaging studies of problematic smartphone use. This review was motivated by the need to systematically integrate current multimodal imaging findings and situate them within a broader framework that incorporates social reinforcement, fear of missing out, and susceptibility to social exclusion.”
The researchers searched the PubMed database for peer-reviewed scientific articles published between January 2015 and April 2025. The search focused on studies that used neuroimaging techniques to investigate individuals exhibiting problematic or excessive smartphone use compared to a control group. To measure the severity of smartphone habits, researchers across the reviewed studies relied primarily on established psychological questionnaires, specifically the Smartphone Addiction Scale and the Smartphone Addiction Propensity Scale.
In this review, we synthesized data from two major types of brain scans: structural imaging, which maps the brain’s physical and anatomical structures, and functional imaging, which measures brain activity over time by detecting changes in blood flow associated with nerve firing. The final analysis included 35 studies: 9 examining static brain structure, 24 examining brain function during various cognitive tasks or at rest, and 2 additional studies using both structural and functional imaging techniques.
Across these studies, sample sizes for structural imaging ranged from 19 to 266 participants, whereas samples for functional imaging ranged from 16 to 162 participants. Participants ranged in age from 13 to 30 years old.
In this review, we identified consistent patterns across structural imaging studies. People who had problems with smartphone use tended to have reduced gray matter volume in certain brain regions, including the insular cortex, anterior cingulate cortex, and orbitofrontal cortex. The insular cortex is involved in recognizing emotions and regulating the body’s internal states, while the orbitofrontal cortex plays a role in decision-making and assigning the value of rewards. Furthermore, studies using diffusion tensor imaging to map white matter tracts suggest changes in neural pathways connecting frontal brain regions and limbic regions involved in emotion.
Functional imaging studies have provided additional insight into cognitive processing in affected individuals. Scanning the brain in a resting state without performing any specific task, they found changes in connections within networks responsible for attention and executive control. When faced with tasks requiring high cognitive effort, individuals with problematic usage frequently showed decreased activation in prefrontal control areas. This pattern suggests a reduced ability to inhibit impulses and maintain focus under challenging conditions.
In contrast, when presented with smartphone-related cues such as notifications or photos on the device, the brain showed increased activity in reward processing circuits. These neural responses to smartphone cues appear similar to patterns seen in substance use disorders, indicating a conditioned association between the device and gratification. The review also found evidence of altered emotional processing, with some studies showing different neural responses to facial expressions compared to controls.
A key aspect of the review focused on the role of social cognition in promoting problematic use. Researchers found evidence that social and emotional factors, such as fear of missing out and sensitivity to social exclusion, are associated with different neural responses.
For example, one study found that a simulated experience of social rejection in a scanning environment induced stronger activation in brain regions associated with processing social pain in people with problematic usage patterns. Researchers suggest that smartphones serve as a powerful interface linking reward processing and social interaction. The brain can become hypersensitive not only to devices but also to the anticipation of social feedback they provide.
“One notable observation is how limited the neuroimaging literature remains with respect to apparently social cognitive processes, despite the fact that smartphone use is deeply embedded in social interactions,” Wolf told PsyPost. “This is particularly surprising because constructs such as fear of missing out and susceptibility to social exclusion appear to be highly relevant to understanding why smartphone cues can be motivatingly powerful. Another important point: was the degree of overlap between neural systems involved in cue reactivity and those involved in social reward and social pain. This supports the view that the reinforcing properties of smartphones may be driven to a large extent by their social significance.”
Scientists interpreted these findings through a theoretical framework known as the I-PACE model, which hypothesized that problem behaviors result from the interaction of individual predispositions, emotional states, and cognitive control mechanisms. In this review, we propose extending this model to highlight how socially relevant rewards and digital feedback promote habitual behavior.
“Our findings suggest that problematic smartphone use should not be reduced to a simple problem of low willpower or too much screen time,” Wolf explained. “Rather, this appears to result from an interaction between altered reward sensitivity, reduced executive control, emotional vulnerability, and cognitive biases, especially in socially salient digital situations. Smartphone-related cues may not capture attention simply because of the device itself. This may help explain why smartphone use is repetitive, difficult to regulate, and emotionally taxing for some people.
“The practical importance of this finding lies in the convergence across structural, functional, neurochemical, and longitudinal studies rather than in any single isolated effect. Across modalities, the reviewed literature shows that This convergence strengthens the interpretation that problematic smartphone use is associated with meaningful changes in self-regulation and neurocognitive systems related to self-regulation. ”
“Importantly, these insights may inform prevention and intervention strategies based on biobehavioral models by identifying the neural and psychological mechanisms that maintain maladaptive patterns of smartphone use.”
Researchers note that this field of research is still in its infancy and faces certain limitations. The main problem with existing studies is that most studies use cross-sectional designs and take a single snapshot in time. This methodology makes it difficult to determine whether the observed brain differences are causing problematic smartphone use or are the result of long-term overuse. Additionally, Wolf pointed out that their findings do not suggest that typical smartphone use is inherently unhealthy.
“The central caveat is that problematic smartphone use is not formally recognized as a disorder, and our study does not suggest that even routine or frequent smartphone use should be qualified as pathological,” Wolf told SciPost. “We advocate a dimensional perspective that distinguishes between normative use and maladaptive patterns characterized by impaired control, continued use despite negative consequences, and maladaptive patterns. Furthermore, most of the available studies are cross-sectional, meaning that causal relationships cannot yet be confidently determined. Therefore, the neural changes observed in individuals with problematic smartphone use may reflect vulnerability factors, the effects of long-term use, or reciprocal processes that unfold over time.”
To address current limitations, the researchers recommend that future research prioritize longitudinal studies that follow participants over time to better understand developmental pathways and causal relationships. They also suggest focusing experiments more strongly on how social context affects the brain’s response to smartphone cues.
“The next major step is to more directly investigate how smartphone-related cue reactivity interacts with social cognitive processes under controlled experimental conditions,” Wolf said. “In particular, it will be important to examine whether neural responses to smartphone cues differ depending on whether those cues are embedded in socially meaningful or non-social contexts. More longitudinal and interventional studies will also be essential to uncover developmental trajectories, causal mechanisms, limitations and potential neural changes following therapeutic intervention.”
“In the long term, this line of research may help refine prevention and intervention strategies that address not only craving and impulsivity, but also maladaptive interpretations of digital social feedback and vulnerability to social exclusion.”
“One of the broader implications of this review is that smartphones may represent a particularly powerful interface between reward processing and social cognition,” Wolf added. “They provide immediate and repeated access to socially relevant cues that can engage neural systems involved in salience attribution, belonging, and self-regulation with unusual frequency. Therefore, from a research perspective, problematic smartphone use may be due to the fact that the digital environment is It provides a useful model for studying how behavior is shaped through the interaction of transbiological, cognitive, and social mechanisms. We hope this review will contribute to a more differentiated and evidence-based discussion of problematic smartphone use.”
The study, “Screens and the Brain: Multimodal neuroimaging insights into the mechanisms of problematic smartphone use,” was authored by Nadine D. Wolf, Gudrun M. Hennemann, Mike M. Schmitgen, Julian Koenig, Patrick Bach, and Robert C. Wolf.
