Literature DB >> 33530072

Functional synergy recruitment index as a reliable biomarker of motor function and recovery in chronic stroke patients.

Nerea Irastorza-Landa1,2,3,4, Eliana García-Cossio5, Andrea Sarasola-Sanz1,4, Doris Brötz1, Niels Birbaumer1,6, Ander Ramos-Murguialday1,4.   

Abstract

Objective. Stroke affects the expression of muscle synergies underlying motor control, most notably in patients with poorer motor function. The majority of studies on muscle synergies have conventionally approached this analysis by assuming alterations in the inner structures of synergies after stroke. Although different synergy-based features based on this assumption have to some extent described pathological mechanisms in post-stroke neuromuscular control, a biomarker that reliably reflects motor function and recovery is still missing.Approach. Based on the theory of muscle synergies, we alternatively hypothesize that functional synergy structures are physically preserved and measure the temporal correlation between the recruitment profiles of healthy modules by paretic and healthy muscles, a feature hereafter reported as the FSRI. We measured clinical scores and extracted the muscle synergies of both ULs of 18 chronic stroke survivors from the electromyographic activity of 8 muscles during bilateral movements before and after 4 weeks of non-invasive BMI controlled robot therapy and physiotherapy. We computed the FSRI as well as features quantifying inter-limb structural differences and evaluated the correlation of these synergy-based measures with clinical scores.Main results. Correlation analysis revealed weak relationships between conventional features describing inter-limb synergy structural differences and motor function. In contrast, FSRI values during specific or combined movement data significantly correlated with UL motor function and recovery scores. Additionally, we observed that BMI-based training with contingent positive proprioceptive feedback led to improved FSRI values during the specific trained finger extension movement.Significance. We demonstrated that FSRI can be used as a reliable physiological biomarker of motor function and recovery in stroke, which can be targeted via BMI-based proprioceptive therapies and adjuvant physiotherapy to boost effective rehabilitation. Creative Commons Attribution license.

Entities:  

Keywords:  biomarker; motor function; muscle synergies; neurorehabilitation; stroke; upper limb

Year:  2021        PMID: 33530072     DOI: 10.1088/1741-2552/abe244

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  4 in total

1.  Myoelectric interface training enables targeted reduction in abnormal muscle co-activation.

Authors:  Marc W Slutzky; Jinsook Roh; Gang Seo; Ameen Kishta; Emily Mugler
Journal:  J Neuroeng Rehabil       Date:  2022-07-01       Impact factor: 5.208

2.  A low-dimensional representation of arm movements and hand grip forces in post-stroke individuals.

Authors:  Christoph M Kanzler; Giuseppe Averta; Olivier Lambercy; Matteo Bianchi; Anne Schwarz; Jeremia P O Held; Roger Gassert; Antonio Bicchi; Marco Santello
Journal:  Sci Rep       Date:  2022-05-09       Impact factor: 4.996

3.  Muscle Synergies and Clinical Outcome Measures Describe Different Factors of Upper Limb Motor Function in Stroke Survivors Undergoing Rehabilitation in a Virtual Reality Environment.

Authors:  Lorenza Maistrello; Daniele Rimini; Vincent C K Cheung; Giorgia Pregnolato; Andrea Turolla
Journal:  Sensors (Basel)       Date:  2021-11-30       Impact factor: 3.576

4.  Nonlinear functional muscle network based on information theory tracks sensorimotor integration post stroke.

Authors:  Seyed Yahya Shirazi; Seda Bilaloglu; Rory O'Keeffe; Shayan Jahed; Ramin Bighamian; Preeti Raghavan; S Farokh Atashzar
Journal:  Sci Rep       Date:  2022-07-29       Impact factor: 4.996

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.