Evidence map›Paper›PMID 41601610›Full record

ArticleFrontiers in human neuroscience2025

Neural basis of intensity-dependent brain activity in response to mechanical stimulation and the level of pain sensitivity.

Ryo Kawamura, Kei Sasaki, Shunnosuke Shimizu, Naoki Kodama

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Article in Frontiers in human neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Ryo KawamuraGraduate School of Health and Welfare, Niigata University of Health and Welfare, Niigata, Japan.
Kei SasakiDepartment of Radiological Technology, Faculty of Medical Technology, Niigata University of Health and Welfare, Niigata, Japan.
Shunnosuke ShimizuGraduate School of Health and Welfare, Niigata University of Health and Welfare, Niigata, Japan.
Naoki KodamaDepartment of Radiological Technology, Faculty of Medical Technology, Niigata University of Health and Welfare, Niigata, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Pain perception greatly varies among individuals and represents a major clinical challenge. Current pain assessment relies on subjective reports; although straightforward, these cannot distinguish the diverse underlying pathophysiological mechanisms of pain. Elucidating brain functional mechanisms using fMRI is crucial for realizing more objective pain assessment. Most studies have focused on thermal stimuli or psychological evaluations, and no studies have focused on differences in sensitivity to mechanical stimulation. Therefore, in this study, we aimed to identify regional differences in brain activation during mechanical stimulation at different intensities using fMRI and to clarify brain activation patterns associated with differences in pain sensitivity between the low- and high-threshold groups. Methods: We enrolled 52 healthy adults. After measuring mechanical tactile and pain thresholds, fMRI was performed during mechanical stimulation at three intensities (60, 100, and 180 g). Regions of brain activation were identified for each stimulus intensity in all participants and for the high- and low-threshold groups, using the 100-g stimulus as the cutoff value, based on mechanical pain thresholds. Results: Notable results regarding the change in stimulus intensity are that significant activation was observed in the anterior insular cortex at 60 g; anterior insular cortex, precentral gyrus, and cerebellum at 100 g; and cerebellum, angular gyrus, and thalamus at 180 g of stimulus intensity. Notable results regarding the level of pain sensitivity are that, when classified into the low- ( Conclusion: The expansion of brain activation with increasing stimulus intensity suggests the involvement of higher-order central processing, such as attention and response preparation, in noxious stimulus processing. Additionally, differences in pain thresholds may reflect variations in the mode of neural response; the high-threshold group exhibited activation in the frontoparietal network, associated with cognitive control. These findings provide a neurobiological basis for psychological interventions and may serve as a foundation for developing objective biomarkers and advancing personalized pain treatment strategies.

Indexed as

cognitive modulationfMRImechanical stimulationpain perceptionsomatosensory cortex

Identifiers

PMID41601610
PMCPMC12832670

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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.