Evidence map›Paper›PMID 40116856›Full record

ArticleJournal of behavioral addictions2025

Brain network alterations in mobile phone use problem severity: A multimodal neuroimaging analysis.

Lichang Yao, Keigo Hikida, Yinping Lu, Luyao Wang, Qi Dai, Morio Aki, Mami Shibata, Halwa Zakia, Jiajia Yang, Naoya Oishi and 4 more

Abstract read
In one paragraph

Article in Journal of behavioral addictions, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Lichang Yao1Department of Neuropsychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID 0000-0002-1617-1264
Keigo Hikida1Department of Neuropsychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yinping Lu2Research Center for Medical Artificial Intelligence, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.ORCID 0009-0005-0892-9257
Luyao Wang3School of Life Science, Shanghai University, Shanghai, China.
Qi Dai1Department of Neuropsychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID 0000-0002-9920-784X
Morio Aki1Department of Neuropsychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID 0000-0002-0485-7760
Mami Shibata1Department of Neuropsychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Halwa Zakia1Department of Neuropsychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID 0000-0001-7503-9311
Jiajia Yang4Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Japan.ORCID 0000-0001-7521-9814
Naoya Oishi1Department of Neuropsychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID 0000-0002-0778-3381
Shisei Tei1Department of Neuropsychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID 0000-0002-1739-9068
Toshiya Murai1Department of Neuropsychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID 0000-0001-6550-8188
Zhilin Zhang1Department of Neuropsychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Hironobu Fujiwara1Department of Neuropsychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID 0000-0002-7422-7190

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Problematic mobile phone use can disrupt social interaction and well-being, potentially influencing cognitive processes. This study investigated whether mobile phone use problem severity is associated with alterations in the topological organization of brain networks. Methods: Rs-fMRI and DTI data were collected from 81 healthy participants. Graph theory analyses were applied. The Mobile Phone Problem Use Scale-10 (MPPUS-10) was used to assess mobile phone use problem severity. Correlation analyses were conducted between each graph metric and questionnaire scores. Results: MPPUS-10 scores correlated with global fMRI metrics: higher scores linked to longer shortest path length (reduced integration) and lower global efficiency (reduced information transfer). Conversely, higher MPPUS-10 scores were correlated with a greater clustering coefficient and higher local efficiency, which reflect increased local connectivity. Furthermore, higher MPPUS-10 scores were associated with a higher sigma value from DTI, indicating altered structural network properties. Some specific brain regions also showed significant correlations with MPPUS-10 scores. Discussion and conclusion: These findings indicate that higher mobile phone use problem severity is associated with decreased integration and increased segregation of functional networks, alongside enhanced small-worldness in structural networks. Reduced integration aligns with addiction theories suggesting digital overload worsens network dysfunction, disrupting brain connectivity. Additionally, higher severity was correlated with altered connectivity in multiple regions, such as the precentral gyrus, supplementary motor area, and postcentral gyrus. These regions are associated with motor control, sensorimotor processing, and memory function. Further research is needed to explore whether these findings reflect shifts in the integration and integrity of brain information-processing modules.

Indexed as

BrainCell PhoneNerve NetAdultConnectomeDiffusion Tensor ImagingFemaleHumansMagnetic Resonance ImagingMaleMultimodal ImagingSeverity of Illness IndexYoung Adultbrain network topological propertiesdigital addictionfunctional and structural networksgraph theory analysismobile phone use problem severityproblematic mobile phone use (PMPU)

Identifiers

PMID40116856
PMCPMC11974426

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.