https://www.nature.com/articles/s41398-021-01246-5
https://youtu.be/cM-a2qzjcas?si=b4mvf7kiPJ73NseC
What’s the main point of The neural basis underlying impaired attentional control in problematic smartphone users (2021)? And are there other research papers on this topic after 2021? (ChatGPT, 2026-7-22)
Main point of the 2021 paper
Choi and colleagues compared 33 problematic smartphone users with 33 controls while they performed a modified cognitive-conflict task during fMRI. Distracting words varied in salience, requiring participants to prevent irrelevant stimuli from capturing attention. [1]
The central finding was not simply that problematic users had an “underactive attention brain.” Rather:
Their attentional-control system appeared to work harder, but less selectively and less coherently.
Problematic smartphone users showed:
- poorer performance when distractors were present;
- persistently elevated frontoparietal activation, even when the task did not demand that much control;
- insufficient differentiation of brain activation between easy and difficult conditions;
- stronger inferior parietal lobule activation associated with worse performance;
- reduced connectivity between the right inferior parietal lobule and right superior temporal gyrus, both related to the ventral attention network.
The authors interpreted this as inefficient recruitment of the ventral attention network: considerable neural activation, but poor coordination and poor adjustment to actual task demands. [1]
In simpler terms, the brain may be operating somewhat like this:
Always prepared for interruption, yet less capable of deciding which interruption deserves attention.
This distinction matters. The finding is not merely “reduced concentration.” It suggests a failure of context-sensitive attentional gating. Bottom-up signals repeatedly solicit attention, while executive systems must expend additional effort to keep behaviour on task.
This fits your idea of the algorithmic self rather well. The smartphone user may acquire a nervous system organised around perpetual possible relevance: something might arrive, update, reward, threaten exclusion, or demand response. Attention consequently becomes less a sustained relation to an object and more a continuously reset state of readiness.
What later research has found
1. Resting networks also appear unusually coupled
A 2022 resting-state fMRI study found greater connectivity between the dorsal anterior cingulate cortex, the ventral attention network and the default-mode network in problematic users. The strength of atypical dACC–ventral-attention connectivity correlated with severity of smartphone problems. [2]
This supports the 2021 interpretation that PSU may involve excessive bottom-up or salience-driven processing. Even when no task or telephone stimulus is present, attention, salience and internally directed networks may be less cleanly segregated.
It does not mean the brain is simply “disconnected.” Some studies find hyperconnectivity, others reduced connectivity. The more plausible emerging picture is poor network regulation: connections may be excessive in one context, insufficient in another, and less capable of flexible reconfiguration.
2. Prefrontal inhibitory control may be deficient
An event-related fNIRS study published in 2023 compared 56 problematic users with 54 controls during a Stroop task. Problematic users showed more behavioural interference and reduced task-related activation in the left dorsolateral prefrontal cortex. [3]
This adds a top-down component to the 2021 account:
- the ventral attention network may too readily respond to salient stimuli;
- the prefrontal control system may be less effective in suppressing interference.
Thus PSU may involve both too much capture from below and too little control from above.
3. But ordinary screen time is not equivalent to executive impairment
One of the most important corrective studies is Hartanto et al. They collected objectively logged screen time and screen-checking behaviour and administered nine executive-function tasks to 260 young adults. [4]
They found no evidence that:
- ordinary smartphone use,
- objectively measured screen time, or
- checking frequency
was associated with broad deficits in inhibition, working memory or task switching.
Only self-reported problematic smartphone use was associated with poorer latent task-switching ability. [4]
This means the relevant variable is probably not sheer duration. Five hours spent reading, navigating, writing and communicating may be cognitively different from five hours of compulsive checking, reward anticipation and fragmented switching.
It also raises a measurement problem: self-reported “problematic use” may partly reflect underlying impulsivity, anxiety, ADHD traits, depression, sleep disruption or poor self-regulation rather than a direct toxic effect of the device.
4. Reviews broadly support altered cognitive-control circuitry—but emphasize weak causal evidence
A 2023 MRI review concluded that excessive smartphone use has been associated with variations in brain systems involved in executive control, reward processing, salience and affect. However, it stressed major methodological limitations: small samples, heterogeneous definitions, reliance on self-report and predominantly cross-sectional designs. [5]
A 2024 systematic review of 21 fMRI studies involving smartphone and internet addiction found recurring abnormalities in:
- DLPFC, frontal and parietal regions involved in executive control;
- anterior cingulate cortex;
- insula, amygdala and reward-related systems.
However, it could not establish a clear neurobiological distinction between “smartphone addiction” and broader internet addiction. [6]
A newer 2025 systematic review similarly describes PSU as an interaction among weakened executive control, heightened cue reactivity, altered reward processing, affective vulnerability and socially mediated reinforcement. [7]
My synthesis
The post-2021 evidence generally supports the original paper’s proposal, but with an important refinement.
Problematic smartphone use is probably not best described as a single attentional deficit. It appears closer to a dysregulated attentional ecology involving:
- Attentional capture
Salient, rewarding or socially meaningful signals gain priority too easily. - Reduced flexible control
Frontoparietal and prefrontal systems do not scale their effort efficiently according to task demands. - Compensatory over-recruitment
Some users produce more neural activation to maintain ordinary performance. - Impaired switching or disengagement
The difficulty may be less “paying attention” than leaving one attentional attractor and returning to another. - Reward and social-salience mechanisms
Notifications, anticipated messages and short-form content are not neutral distractors. They carry learned interpersonal and reward value.
The most defensible conclusion is therefore:
Problematic smartphone users may not possess globally weaker attention. Their attention may be excessively trainable by salience, insufficiently protected from interruption, and less able to change modes flexibly.
But causality remains unresolved. Nearly all of these studies are observational or cross-sectional. We still cannot confidently determine whether compulsive smartphone use produces these neural patterns, whether pre-existing attentional-control vulnerabilities lead to problematic use, or—most likely—whether the two reinforce each other.
Selected papers
[1] Jihye Choi, Hyun Cho, Jung-Seok Choi, I. Choi, J. Chun & D. Kim. 2021. Translational Psychiatry. 32 citations. The neural basis underlying impaired attentional control in problematic smartphone users
[2] Manjae Kwon, Y. Jung, Deokjong Lee & Junghan Lee. 2022. Frontiers in Psychiatry, 13. 14 citations. Altered resting-state functional connectivity of the dorsal anterior cingulate cortex with intrinsic brain networks in male problematic smartphone users
[3] Mingqiang Xiang, Long Lin, Yun-Ting Song, Min Hu & Xiao-Hui Hou. 2023. Frontiers in Psychiatry, 13. 10 citations. Reduced left dorsolateral prefrontal activation in problematic smartphone users during the Stroop task: An fNIRS study
[4] Andree Hartanto, Yi Jing Chua, Frosch Y. X. Quek, Joax Wong, Wei Ming Ooi & Nadyanna M. Majeed. 2023. Attention, Perception, & Psychophysics. 41 citations. Problematic smartphone usage, objective smartphone engagement, and executive functions: A latent variable analysis
[5] C. Montag & B. Becker. 2023. Psychoradiology, 3. 47 citations. Neuroimaging the effects of smartphone (over-)use on brain function and structure—a review on the current state of MRI-based findings and a roadmap for future research
[6] M. Méndez, I. Padrón, A. Fumero, R. Marrero et al. 2024. Neuroscience & Biobehavioral Reviews, article 105572. 117 citations. Effects of Internet and Smartphone Addiction on Cognitive Control in adolescents and young adults: A systematic review of fMRI studies
[7] Nadine D. Wolf, Gudrun M. Henemann, M. Schmitgen, Julian Koenig, Patrick Bach & R. C. Wolf. 2025. Progress in Neuro-Psychopharmacology & Biological Psychiatry, article 111531. 3 citations. Screens and brains: multimodal neuroimaging insights into mechanisms of problematic smartphone use
