Evidence map›Paper›PMID 35370598›Full record

ArticleFrontiers in neurorobotics2022

Involvement of the Rostromedial Prefrontal Cortex in Human-Robot Interaction: fNIRS Evidence From a Robot-Assisted Motor Task.

Duc Trung Le, Kazuki Watanabe, Hiroki Ogawa, Kojiro Matsushita, Naoki Imada, Shingo Taki, Yuji Iwamoto, Takeshi Imura, Hayato Araki, Osamu Araki and 4 more

Abstract read
In one paragraph

Article in Frontiers in neurorobotics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

4 citing papers in PubMed.

  1. Article
  2. Review
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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.

Duc Trung LeDepartment of Musculoskeletal Functional Research and Regeneration, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Kazuki WatanabeDepartment of Musculoskeletal Functional Research and Regeneration, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Hiroki OgawaDepartment of Musculoskeletal Functional Research and Regeneration, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Kojiro MatsushitaDepartment of Mechanical Engineering, Facility of Engineering, Gifu University, Gifu, Japan.
Naoki ImadaDepartment of Rehabilitation, Araki Neurosurgical Hospital, Hiroshima, Japan.
Shingo TakiDepartment of Rehabilitation, Araki Neurosurgical Hospital, Hiroshima, Japan.
Yuji IwamotoDepartment of Rehabilitation, Araki Neurosurgical Hospital, Hiroshima, Japan.
Takeshi ImuraDepartment of Rehabilitation, Faculty of Health Sciences, Hiroshima Cosmopolitan University, Hiroshima, Japan.
Hayato ArakiDepartment of Neurosurgery, Araki Neurosurgical Hospital, Hiroshima, Japan.
Osamu ArakiDepartment of Neurosurgery, Araki Neurosurgical Hospital, Hiroshima, Japan.
Taketoshi OnoDepartment of System Emotional Science, Faculty of Medicine, University of Toyama, Toyama, Japan.
Hisao NishijoDepartment of System Emotional Science, Faculty of Medicine, University of Toyama, Toyama, Japan.
Naoto FujitaDepartment of Musculoskeletal Functional Research and Regeneration, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Susumu UrakawaDepartment of Musculoskeletal Functional Research and Regeneration, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assistive exoskeleton robots are being widely applied in neurorehabilitation to improve upper-limb motor and somatosensory functions. During robot-assisted exercises, the central nervous system appears to highly attend to external information-processing (IP) to efficiently interact with robotic assistance. However, the neural mechanisms underlying this process remain unclear. The rostromedial prefrontal cortex (rmPFC) may be the core of the executive resource allocation that generates biases in the allocation of processing resources toward an external IP according to current behavioral demands. Here, we used functional near-infrared spectroscopy to investigate the cortical activation associated with executive resource allocation during a robot-assisted motor task. During data acquisition, participants performed a right-arm motor task using elbow flexion-extension movements in three different loading conditions: robotic assistive loading (ROB), resistive loading (RES), and non-loading (NON). Participants were asked to strive for kinematic consistency in their movements. A one-way repeated measures analysis of variance and general linear model-based methods were employed to examine task-related activity. We demonstrated that hemodynamic responses in the ventral and dorsal rmPFC were higher during ROB than during NON. Moreover, greater hemodynamic responses in the ventral rmPFC were observed during ROB than during RES. Increased activation in ventral and dorsal rmPFC subregions may be involved in the executive resource allocation that prioritizes external IP during human-robot interactions. In conclusion, these findings provide novel insights regarding the involvement of executive control during a robot-assisted motor task.

Indexed as

assistive exoskeleton robotexecutive functionfrontal poleHybrid Assistive Limb (HAL®)NIRS (near-infrared spectroscopy)prefrontal cortex (PFC)

Identifiers

PMID35370598
PMCPMC8970051

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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.