Literature DB >> 34732324

Investigating the human spinal sensorimotor pathways through functional magnetic resonance imaging.

Caroline Landelle1, Ovidiu Lungu2, Shahabeddin Vahdat3, Anne Kavounoudias4, Véronique Marchand-Pauvert5, Benjamin De Leener6, Julien Doyon2.   

Abstract

Most of our knowledge about the human spinal ascending (sensory) and descending (motor) pathways comes from non-invasive electrophysiological investigations. However, recent methodological advances in acquisition and analyses of functional magnetic resonance imaging (fMRI) data from the spinal cord, either alone or in combination with the brain, have allowed us to gain further insights into the organization of this structure. In the current review, we conducted a systematic search to produced somatotopic maps of the spinal fMRI activity observed through different somatosensory, motor and resting-state paradigms. By cross-referencing these human neuroimaging findings with knowledge acquired through neurophysiological recordings, our review demonstrates that spinal fMRI is a powerful tool for exploring, in vivo, the human spinal cord pathways. We report strong cross-validation between task-related and resting-state fMRI in accordance with well-known hemicord, postero-anterior and rostro-caudal organization of these pathways. We also highlight the specific advantages of using spinal fMRI in clinical settings to characterize better spinal-related impairments, predict disease progression, and guide the implementation of therapeutic interventions.
Copyright © 2021. Published by Elsevier Inc.

Entities:  

Keywords:  Motor; Proprioception; Sensorimotor pathways; Spinal-cord FMRI; Touch; resting-state

Mesh:

Year:  2021        PMID: 34732324     DOI: 10.1016/j.neuroimage.2021.118684

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  1 in total

1.  Diagnosis of Neural Activity among Abnormal Brain Regions in Patients with Major Depressive Disorder by Magnetic Resonance Imaging Features.

Authors:  Weicheng Wang; Shuang Jia; Qionghui Zhao; Lin Yang
Journal:  Comput Math Methods Med       Date:  2022-06-28       Impact factor: 2.809

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.