Literature DB >> 28697711

Biomarkers of stroke recovery: Consensus-based core recommendations from the Stroke Recovery and Rehabilitation Roundtable.

Lara A Boyd1, Kathryn S Hayward2, Nick S Ward3, Cathy M Stinear4, Charlotte Rosso5,6, Rebecca J Fisher7, Alexandre R Carter8, Alex P Leff9, David A Copland10, Leeanne M Carey11, Leonardo G Cohen12, D Michele Basso13, Jane M Maguire14, Steven C Cramer15.   

Abstract

The most difficult clinical questions in stroke rehabilitation are "What is this patient's potential for recovery?" and "What is the best rehabilitation strategy for this person, given her/his clinical profile?" Without answers to these questions, clinicians struggle to make decisions regarding the content and focus of therapy, and researchers design studies that inadvertently mix participants who have a high likelihood of responding with those who do not. Developing and implementing biomarkers that distinguish patient subgroups will help address these issues and unravel the factors important to the recovery process. The goal of the present paper is to provide a consensus statement regarding the current state of the evidence for stroke recovery biomarkers. Biomarkers of motor, somatosensory, cognitive and language domains across the recovery timeline post-stroke are considered; with focus on brain structure and function, and exclusion of blood markers and genetics. We provide evidence for biomarkers that are considered ready to be included in clinical trials, as well as others that are promising but not ready and so represent a developmental priority. We conclude with an example that illustrates the utility of biomarkers in recovery and rehabilitation research, demonstrating how the inclusion of a biomarker may enhance future clinical trials. In this way, we propose a way forward for when and where we can include biomarkers to advance the efficacy of the practice of, and research into, rehabilitation and recovery after stroke.

Entities:  

Keywords:  Biomarker; clinical trial; cognition; function; human; language; motor; neuroimaging; somatosensory; stratification

Mesh:

Year:  2017        PMID: 28697711      PMCID: PMC6791523          DOI: 10.1177/1747493017714176

Source DB:  PubMed          Journal:  Int J Stroke        ISSN: 1747-4930            Impact factor:   5.266


  139 in total

1.  Robot-based hand motor therapy after stroke.

Authors:  Craig D Takahashi; Lucy Der-Yeghiaian; Vu Le; Rehan R Motiwala; Steven C Cramer
Journal:  Brain       Date:  2007-12-20       Impact factor: 13.501

2.  Motor recovery and cortical reorganization after mirror therapy in chronic stroke patients: a phase II randomized controlled trial.

Authors:  Marian E Michielsen; Ruud W Selles; Jos N van der Geest; Martine Eckhardt; Gunes Yavuzer; Henk J Stam; Marion Smits; Gerard M Ribbers; Johannes B J Bussmann
Journal:  Neurorehabil Neural Repair       Date:  2010-11-04       Impact factor: 3.919

3.  Same Intervention-Different Reorganization: The Impact of Lesion Location on Training-Facilitated Somatosensory Recovery After Stroke.

Authors:  Leeanne M Carey; David F Abbott; Gemma Lamp; Aina Puce; Rüdiger J Seitz; Geoffrey A Donnan
Journal:  Neurorehabil Neural Repair       Date:  2016-06-20       Impact factor: 3.919

4.  Prognostic value of lower limb motor evoked potentials for motor impairment and disability after 8 weeks of stroke rehabilitation--a prospective investigation of 100 patients.

Authors:  D Steube; S Wiethölter; C Correll
Journal:  Electromyogr Clin Neurophysiol       Date:  2001-12

Review 5.  Use of magnetic resonance imaging to predict outcome after stroke: a review of experimental and clinical evidence.

Authors:  Tracy D Farr; Susanne Wegener
Journal:  J Cereb Blood Flow Metab       Date:  2010-01-20       Impact factor: 6.200

6.  The brain-derived neurotrophic factor Val66Met polymorphism and degeneration of the corticospinal tract after stroke: a diffusion tensor imaging study.

Authors:  E-J Kim; C-H Park; W H Chang; A Lee; S T Kim; Y-I Shin; Y-H Kim
Journal:  Eur J Neurol       Date:  2015-07-31       Impact factor: 6.089

7.  Corticospinal excitability as a predictor of functional gains at the affected upper limb following robotic training in chronic stroke survivors.

Authors:  Marie-Hélène Milot; Steven J Spencer; Vicky Chan; James P Allington; Julius Klein; Cathy Chou; Kristin Pearson-Fuhrhop; James E Bobrow; David J Reinkensmeyer; Steven C Cramer
Journal:  Neurorehabil Neural Repair       Date:  2014-03-18       Impact factor: 3.919

8.  Network dysfunction predicts speech production after left hemisphere stroke.

Authors:  Fatemeh Geranmayeh; Robert Leech; Richard J S Wise
Journal:  Neurology       Date:  2016-03-09       Impact factor: 9.910

9.  Real-time strategy game training: emergence of a cognitive flexibility trait.

Authors:  Brian D Glass; W Todd Maddox; Bradley C Love
Journal:  PLoS One       Date:  2013-08-07       Impact factor: 3.240

10.  Impairment of functional integration of the default mode network correlates with cognitive outcome at three months after stroke.

Authors:  Rosalia Dacosta-Aguayo; Manuel Graña; Yasser Iturria-Medina; Marina Fernández-Andújar; Elena López-Cancio; Cynthia Cáceres; Núria Bargalló; Maite Barrios; Immaculada Clemente; Pera Toran; Rosa Forés; Antoni Dávalos; Tibor Auer; Maria Mataró
Journal:  Hum Brain Mapp       Date:  2014-10-16       Impact factor: 5.038

View more
  71 in total

1.  Poststroke Impairment and Recovery Are Predicted by Task-Specific Regionalization of Injury.

Authors:  Matthew S Jeffers; Boris Touvykine; Allyson Ripley; Gillian Lahey; Anthony Carter; Numa Dancause; Dale Corbett
Journal:  J Neurosci       Date:  2020-06-30       Impact factor: 6.167

Review 2.  New Directions in Treatments Targeting Stroke Recovery.

Authors:  David J Lin; Seth P Finklestein; Steven C Cramer
Journal:  Stroke       Date:  2018-12       Impact factor: 7.914

3.  Proprioception and motor performance after stroke: An examination of diffusion properties in sensory and motor pathways.

Authors:  Sonja E Findlater; Erin L Mazerolle; G Bruce Pike; Sean P Dukelow
Journal:  Hum Brain Mapp       Date:  2019-03-19       Impact factor: 5.038

4.  Controlling pre-movement sensorimotor rhythm can improve finger extension after stroke.

Authors:  S L Norman; D J McFarland; A Miner; S C Cramer; E T Wolbrecht; J R Wolpaw; D J Reinkensmeyer
Journal:  J Neural Eng       Date:  2018-07-31       Impact factor: 5.379

Review 5.  Post-stroke remodeling processes in animal models and humans.

Authors:  Carla Cirillo; Nabila Brihmat; Evelyne Castel-Lacanal; Alice Le Friec; Marianne Barbieux-Guillot; Nicolas Raposo; Jérémie Pariente; Alain Viguier; Marion Simonetta-Moreau; Jean-François Albucher; Jean-Marc Olivot; Franck Desmoulin; Philippe Marque; François Chollet; Isabelle Loubinoux
Journal:  J Cereb Blood Flow Metab       Date:  2019-10-23       Impact factor: 6.200

6.  Neuroimaging Identifies Patients Most Likely to Respond to a Restorative Stroke Therapy.

Authors:  Jessica M Cassidy; George Tran; Erin B Quinlan; Steven C Cramer
Journal:  Stroke       Date:  2018-01-10       Impact factor: 7.914

7.  Breaking Proportional Recovery After Stroke.

Authors:  Merav R Senesh; David J Reinkensmeyer
Journal:  Neurorehabil Neural Repair       Date:  2019-08-16       Impact factor: 3.919

Review 8.  Blowing up Neural Repair for Stroke Recovery: Preclinical and Clinical Trial Considerations.

Authors:  Nick S Ward; S Thomas Carmichael
Journal:  Stroke       Date:  2020-09-21       Impact factor: 7.914

9.  The relationship between BDNF Val66Met polymorphism and functional mobility in chronic stroke survivors.

Authors:  Margaret A French; Susanne M Morton; Ryan T Pohlig; Darcy S Reisman
Journal:  Top Stroke Rehabil       Date:  2018-02-25       Impact factor: 2.119

10.  The effect of angiopoietin-1 upregulation on the outcome of acute ischaemic stroke in rodent models: A meta-analysis.

Authors:  Joseph V Moxon; Alexandra F Trollope; Brittany Dewdney; Catherine de Hollander; Domenico R Nastasi; Jane M Maguire; Jonathan Golledge
Journal:  J Cereb Blood Flow Metab       Date:  2019-10-04       Impact factor: 6.200

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.