Literature DB >> 28656344

[The importance of neuronal networks for motor rehabilitation after a stroke].

F C Hummel1,2,3.   

Abstract

Every year in Europe 1.5 million patients suffer a new stroke. Despite the further developments in acute therapy with nationwide stroke units, thrombolysis, thrombectomy and post-acute neurorehabilitation, only a small proportion of patients recover to a satisfactory degree allowing them to return to their normal social and professional life. This makes stroke the main cause of long-term disability with a corresponding impact on patient lives, socioeconomics and the healthcare system. Thus, the concepts of neurorehabilitation have to be extended to enhance the effects of rehabilitative treatment strategies. To achieve this, an understanding of the prediction of the course of recovery, the mechanisms underlying functional recovery and factors influencing recovery have to be enhanced for the development towards patient-tailored precision medicine approaches. A central point towards this is the understanding of stroke as a disease, which not only influences the damaged area but also the associated network. This is crucial for the understanding of the stroke-induced deficits, for prediction of recovery and options for interventional treatment strategies, which can target different areas in this network (e.g. primary motor cortex and secondary motor regions) based on individual factors of the patient. The present article discusses the importance of network alterations for motor neurorehabilitation after a stroke and which novel options, concepts and consequences could arise from this for neurorehabilitation.

Entities:  

Keywords:  Functional regeneration; Motor network; Neuroimaging; Neuroplasticity; Prediction

Mesh:

Year:  2017        PMID: 28656344     DOI: 10.1007/s00115-017-0369-0

Source DB:  PubMed          Journal:  Nervenarzt        ISSN: 0028-2804            Impact factor:   1.214


  39 in total

1.  Parietofrontal motor pathways and their association with motor function after stroke.

Authors:  Robert Schulz; Philipp Koch; Maximo Zimerman; Maximilian Wessel; Marlene Bönstrup; Götz Thomalla; Bastian Cheng; Christian Gerloff; Friedhelm C Hummel
Journal:  Brain       Date:  2015-05-01       Impact factor: 13.501

2.  Transcallosal inhibition in chronic subcortical stroke.

Authors:  Julie Duque; Friedhelm Hummel; Pablo Celnik; Nagako Murase; Riccardo Mazzocchio; Leonardo G Cohen
Journal:  Neuroimage       Date:  2005-08-09       Impact factor: 6.556

3.  Decreased integration and information capacity in stroke measured by whole brain models of resting state activity.

Authors:  Mohit H Adhikari; Carl D Hacker; Josh S Siegel; Alessandra Griffa; Patric Hagmann; Gustavo Deco; Maurizio Corbetta
Journal:  Brain       Date:  2017-04-01       Impact factor: 13.501

4.  The PREP algorithm predicts potential for upper limb recovery after stroke.

Authors:  Cathy M Stinear; P Alan Barber; Matthew Petoe; Samir Anwar; Winston D Byblow
Journal:  Brain       Date:  2012-06-10       Impact factor: 13.501

Review 5.  Controversy: Noninvasive and invasive cortical stimulation show efficacy in treating stroke patients.

Authors:  Friedhelm C Hummel; Pablo Celnik; Alvero Pascual-Leone; Felipe Fregni; Winston D Byblow; Cathrin M Buetefisch; John Rothwell; Leonardo G Cohen; Christian Gerloff
Journal:  Brain Stimul       Date:  2008-10-09       Impact factor: 8.955

6.  Interactions Between the Corticospinal Tract and Premotor-Motor Pathways for Residual Motor Output After Stroke.

Authors:  Robert Schulz; Eunhee Park; Jungsoo Lee; Won Hyuk Chang; Ahee Lee; Yun-Hee Kim; Friedhelm C Hummel
Journal:  Stroke       Date:  2017-09-13       Impact factor: 7.914

7.  Proportional recovery after stroke depends on corticomotor integrity.

Authors:  Winston D Byblow; Cathy M Stinear; P Alan Barber; Matthew A Petoe; Suzanne J Ackerley
Journal:  Ann Neurol       Date:  2015-11-17       Impact factor: 10.422

8.  Connectivity alterations assessed by combining fMRI and MR-compatible hand robots in chronic stroke.

Authors:  Dionyssios Mintzopoulos; Loukas G Astrakas; Azadeh Khanicheh; Angelos A Konstas; Aneesh Singhal; Michael A Moskowitz; Bruce R Rosen; A Aria Tzika
Journal:  Neuroimage       Date:  2009-03-12       Impact factor: 6.556

9.  Structural integrity of corticospinal motor fibers predicts motor impairment in chronic stroke.

Authors:  R Lindenberg; V Renga; L L Zhu; F Betzler; D Alsop; G Schlaug
Journal:  Neurology       Date:  2010-01-26       Impact factor: 9.910

10.  Rhythmic TMS over parietal cortex links distinct brain frequencies to global versus local visual processing.

Authors:  Vincenzo Romei; Jon Driver; Philippe G Schyns; Gregor Thut
Journal:  Curr Biol       Date:  2011-02-22       Impact factor: 10.834

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