Evidence map›Paper›PMID 41523209›Full record

ArticleImaging neuroscience (Cambridge, Mass.)

MOTUM: A system for Motion Online Tracking Under MRI.

Federica Bencivenga, Michelangelo Tani, Krishnendu Vyas, Federico Giove, Steve Gazzitano, Gaspare Galati

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Article in Imaging neuroscience (Cambridge, Mass.). 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Federica BencivengaDepartment of Psychology, Sapienza University, Rome, Italy.
Michelangelo TaniDepartment of Psychology, Sapienza University, Rome, Italy.ORCID https://orcid.org/0009-0000-1219-6619
Krishnendu VyasDepartment of Psychology, Sapienza University, Rome, Italy.
Federico GioveCognitive and Motor Rehabilitation and Neuroimaging Unit, Santa Lucia Foundation (IRCCS Fondazione Santa Lucia), Rome, Italy.
Steve GazzitanoCognitive and Motor Rehabilitation and Neuroimaging Unit, Santa Lucia Foundation (IRCCS Fondazione Santa Lucia), Rome, Italy.
Gaspare GalatiDepartment of Psychology, Sapienza University, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Attempts to implement realistic body-environment interactions during functional magnetic resonance imaging (fMRI) experiments have developed expensive, hardly reproducible, and task-specific setups. Here, we introduce MOTUM (Motion Online Tracking Under MRI), a novel system that combines real-time kinematic tracking with immersive virtual reality, enabling participants to perform naturalistic movements inside the scanner. As a proof-of-concept, we tested MOTUM during a reach-to-grasp task with and without visual feedback of one's hand (N = 7). The system achieved high-fidelity motion tracking, induced an intense immersive experience, evoked expected sensorimotor brain activations, and maintained high fMRI data quality. Standard fMRI control metrics were below the critical threshold in 99% of volumes, indicating that participants' arm movements had minimal impact on head motion and data quality. Direct artifactual effects of arm and hand motion were also modest and well below critical limits. Critically, MOTUM allowed us to extract rich kinematic measures and link them to brain activity on a trial-by-trial basis. Parametric modulation analyses revealed that natural variations in movement dynamics significantly influenced neural responses in parietal, frontal, and occipital regions. In sum, MOTUM is a robust method to study motor control and beyond, enabling a new class of fMRI experiments that bridge ecological realism and experimental control, pushing current neuroimaging research toward real-life neuroscience.

Indexed as

fMRIkinematicsmotion trackingmotor controlnaturalistic behaviorssensorimotor integration

Identifiers

PMID41523209
PMCPMC12779753

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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.