Literature DB >> 27641995

Inferior frontal gyrus links visual and motor cortices during a visuomotor precision grip force task.

Christos Papadelis1, Carola Arfeller2, Silvia Erla3, Giandomenico Nollo4, Luigi Cattaneo5, Christoph Braun6.   

Abstract

Coordination between vision and action relies on a fronto-parietal network that receives visual and proprioceptive sensory input in order to compute motor control signals. Here, we investigated with magnetoencephalography (MEG) which cortical areas are functionally coupled on the basis of synchronization during visuomotor integration. MEG signals were recorded from twelve healthy adults while performing a unimanual visuomotor (VM) task and control conditions. The VM task required the integration of pinch motor commands with visual sensory feedback. By using a beamformer, we localized the neural activity in the frequency range of 1-30Hz during the VM compared to rest. Virtual sensors were estimated at the active locations. A multivariate autoregressive model was used to estimate the power and coherence of estimated activity at the virtual sensors. Event-related desynchronisation (ERD) during VM was observed in early visual areas, the rostral part of the left inferior frontal gyrus (IFG), the right IFG, the superior parietal lobules, and the left hand motor cortex (M1). Functional coupling in the alpha frequency band bridged the regional activities observed in motor and visual cortices (the start and the end points in the visuomotor loop) through the left or right IFG. Coherence between the left IFG and left M1 correlated inversely with the task performance. Our results indicate that an occipital-prefrontal-motor functional network facilitates the modulation of instructed motor responses to visual cues. This network may supplement the mechanism for guiding actions that is fully incorporated into the dorsal visual stream.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Coherence; Functional connectivity; Inferior frontal gyrus; Magnetoencephalography; Visuomotor integration

Mesh:

Year:  2016        PMID: 27641995     DOI: 10.1016/j.brainres.2016.09.011

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.252


  10 in total

1.  Abnormal Fractional Amplitude of Low Frequency Fluctuation Changes in Patients With Dry Eye Disease: A Functional Magnetic Resonance Imaging Study.

Authors:  Rong-Bin Liang; Li-Qi Liu; Wen-Qing Shi; Tie Sun; Qian-Min Ge; Qiu-Yu Li; Hui-Ye Shu; Li-Juan Zhang; Yi Shao
Journal:  Front Hum Neurosci       Date:  2022-05-24       Impact factor: 3.473

2.  Alterations in the Structural and Functional Connectivity of the Visuomotor Network of Children With Periventricular Leukomalacia.

Authors:  Corinna M Bauer; Christos Papadelis
Journal:  Semin Pediatr Neurol       Date:  2019-05-15       Impact factor: 1.636

3.  When the brain changes its mind: Oscillatory dynamics of conflict processing and response switching in a flanker task during alcohol challenge.

Authors:  Lauren E Beaton; Sheeva Azma; Ksenija Marinkovic
Journal:  PLoS One       Date:  2018-01-12       Impact factor: 3.240

4.  Distortion of Visuo-Motor Temporal Integration in Apraxia: Evidence From Delayed Visual Feedback Detection Tasks and Voxel-Based Lesion-Symptom Mapping.

Authors:  Satoshi Nobusako; Rintaro Ishibashi; Yusaku Takamura; Emika Oda; Yukie Tanigashira; Masashi Kouno; Takanori Tominaga; Yurie Ishibashi; Hiroyuki Okuno; Kaori Nobusako; Takuro Zama; Michihiro Osumi; Sotaro Shimada; Shu Morioka
Journal:  Front Neurol       Date:  2018-08-27       Impact factor: 4.003

5.  Dynamic large-scale network synchronization from perception to action.

Authors:  Jonni Hirvonen; Simo Monto; Sheng H Wang; J Matias Palva; Satu Palva
Journal:  Netw Neurosci       Date:  2018-10-01

6.  Diagnosing schizophrenia with network analysis and a machine learning method.

Authors:  Young Tak Jo; Sung Woo Joo; Seung-Hyun Shon; Harin Kim; Yangsik Kim; Jungsun Lee
Journal:  Int J Methods Psychiatr Res       Date:  2020-02-05       Impact factor: 4.035

7.  Cortical reorganization to improve dynamic balance control with error amplification feedback.

Authors:  Yi-Ching Chen; Yi-Ying Tsai; Gwo-Ching Chang; Ing-Shiou Hwang
Journal:  J Neuroeng Rehabil       Date:  2022-01-16       Impact factor: 4.262

8.  Distinct neural processes support post-success and post-error slowing in the stop signal task.

Authors:  Yihe Zhang; Jaime S Ide; Sheng Zhang; Sien Hu; Nikola S Valchev; Xiaoying Tang; Chiang-Shan R Li
Journal:  Neuroscience       Date:  2017-06-13       Impact factor: 3.590

9.  Reorganization of the somatosensory cortex in hemiplegic cerebral palsy associated with impaired sensory tracts.

Authors:  Christos Papadelis; Erin E Butler; Madelyn Rubenstein; Limin Sun; Lilla Zollei; Donna Nimec; Brian Snyder; Patricia Ellen Grant
Journal:  Neuroimage Clin       Date:  2017-10-19       Impact factor: 4.881

10.  Reduced resting-state brain functional network connectivity and poor regional homogeneity in patients with CADASIL.

Authors:  Jingjing Su; Shiyu Ban; Mengxing Wang; Fengchun Hua; Liang Wang; Xin Cheng; Yuping Tang; Houguang Zhou; Yu Zhai; Xiaoxia Du; Jianren Liu
Journal:  J Headache Pain       Date:  2019-11-11       Impact factor: 7.277

  10 in total

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