Literature DB >> 26671217

Improving Motor Corticothalamic Communication After Stroke Using Real-Time fMRI Connectivity-Based Neurofeedback.

Sook-Lei Liew1, Mohit Rana2, Sonja Cornelsen3, Marcos Fortunato de Barros Filho4, Niels Birbaumer5, Ranganatha Sitaram2, Leonardo G Cohen6, Surjo R Soekadar7.   

Abstract

BACKGROUND: Two thirds of stroke survivors experience motor impairment resulting in long-term disability. The anatomical substrate is often the disruption of cortico-subcortical pathways. It has been proposed that reestablishment of cortico-subcortical communication relates to functional recovery.
OBJECTIVE: In this study, we applied a novel training protocol to augment ipsilesional cortico-subcortical connectivity after stroke. Chronic stroke patients with severe motor impairment were provided online feedback of blood-oxygenation level dependent signal connectivity between cortical and subcortical regions critical for motor function using real-time functional magnetic resonance imaging neurofeedback.
RESULTS: In this proof of principle study, 3 out of 4 patients learned to voluntarily modulate cortico-subcortical connectivity as intended.
CONCLUSIONS: Our results document for the first time the feasibility and safety for patients with chronic stroke and severe motor impairment to self-regulate and augment ipsilesional cortico-subcortical connectivity through neurofeedback using real-time functional magnetic resonance imaging.
© The Author(s) 2015.

Entities:  

Keywords:  brain-machine interface (BMI); connectivity; neurofeedback; real-time functional magnetic resonance imaging (rtfMRI); stroke

Mesh:

Substances:

Year:  2015        PMID: 26671217      PMCID: PMC4907885          DOI: 10.1177/1545968315619699

Source DB:  PubMed          Journal:  Neurorehabil Neural Repair        ISSN: 1545-9683            Impact factor:   3.919


  13 in total

1.  Physiological self-regulation of regional brain activity using real-time functional magnetic resonance imaging (fMRI): methodology and exemplary data.

Authors:  Nikolaus Weiskopf; Ralf Veit; Michael Erb; Klaus Mathiak; Wolfgang Grodd; Rainer Goebel; Niels Birbaumer
Journal:  Neuroimage       Date:  2003-07       Impact factor: 6.556

2.  The inclusion of functional connectivity information into fMRI-based neurofeedback improves its efficacy in the reduction of cigarette cravings.

Authors:  Dong-Youl Kim; Seung-Schik Yoo; Marion Tegethoff; Gunther Meinlschmidt; Jong-Hwan Lee
Journal:  J Cogn Neurosci       Date:  2015-03-11       Impact factor: 3.225

3.  Acquired control of ventral premotor cortex activity by feedback training: an exploratory real-time FMRI and TMS study.

Authors:  Ranganatha Sitaram; Ralf Veit; Birte Stevens; Andrea Caria; Christian Gerloff; Niels Birbaumer; Friedhelm Hummel
Journal:  Neurorehabil Neural Repair       Date:  2011-09-08       Impact factor: 3.919

4.  Parietofrontal integrity determines neural modulation associated with grasping imagery after stroke.

Authors:  Ethan R Buch; Amirali Modir Shanechi; Alissa D Fourkas; Cornelia Weber; Niels Birbaumer; Leonardo G Cohen
Journal:  Brain       Date:  2012-01-09       Impact factor: 13.501

5.  Brain-machine interface in chronic stroke rehabilitation: a controlled study.

Authors:  Ander Ramos-Murguialday; Doris Broetz; Massimiliano Rea; Leonhard Läer; Ozge Yilmaz; Fabricio L Brasil; Giulia Liberati; Marco R Curado; Eliana Garcia-Cossio; Alexandros Vyziotis; Woosang Cho; Manuel Agostini; Ernesto Soares; Surjo Soekadar; Andrea Caria; Leonardo G Cohen; Niels Birbaumer
Journal:  Ann Neurol       Date:  2013-08-07       Impact factor: 10.422

6.  Probability of regaining dexterity in the flaccid upper limb: impact of severity of paresis and time since onset in acute stroke.

Authors:  Gert Kwakkel; Boudewijn J Kollen; Jeroen van der Grond; Arie J H Prevo
Journal:  Stroke       Date:  2003-08-07       Impact factor: 7.914

7.  The functional anatomy of motor recovery after stroke in humans: a study with positron emission tomography.

Authors:  F Chollet; V DiPiero; R J Wise; D J Brooks; R J Dolan; R S Frackowiak
Journal:  Ann Neurol       Date:  1991-01       Impact factor: 10.422

8.  Functional MRI neurofeedback training on connectivity between two regions induces long-lasting changes in intrinsic functional network.

Authors:  Fukuda Megumi; Ayumu Yamashita; Mitsuo Kawato; Hiroshi Imamizu
Journal:  Front Hum Neurosci       Date:  2015-03-30       Impact factor: 3.169

Review 9.  Global and regional burden of stroke during 1990-2010: findings from the Global Burden of Disease Study 2010.

Authors:  Valery L Feigin; Mohammad H Forouzanfar; Rita Krishnamurthi; George A Mensah; Myles Connor; Derrick A Bennett; Andrew E Moran; Ralph L Sacco; Laurie Anderson; Thomas Truelsen; Martin O'Donnell; Narayanaswamy Venketasubramanian; Suzanne Barker-Collo; Carlene M M Lawes; Wenzhi Wang; Yukito Shinohara; Emma Witt; Majid Ezzati; Mohsen Naghavi; Christopher Murray
Journal:  Lancet       Date:  2014-01-18       Impact factor: 79.321

10.  Connectivity-based neurofeedback: dynamic causal modeling for real-time fMRI.

Authors:  Yury Koush; Maria Joao Rosa; Fabien Robineau; Klaartje Heinen; Sebastian W Rieger; Nikolaus Weiskopf; Patrik Vuilleumier; Dimitri Van De Ville; Frank Scharnowski
Journal:  Neuroimage       Date:  2013-05-11       Impact factor: 6.556

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  34 in total

Review 1.  Closed-loop brain training: the science of neurofeedback.

Authors:  Ranganatha Sitaram; Tomas Ros; Luke Stoeckel; Sven Haller; Frank Scharnowski; Jarrod Lewis-Peacock; Nikolaus Weiskopf; Maria Laura Blefari; Mohit Rana; Ethan Oblak; Niels Birbaumer; James Sulzer
Journal:  Nat Rev Neurosci       Date:  2016-12-22       Impact factor: 34.870

2.  The effects of psychiatric history and age on self-regulation of the default mode network.

Authors:  Stavros Skouras; Frank Scharnowski
Journal:  Neuroimage       Date:  2019-05-16       Impact factor: 6.556

Review 3.  Advances in fMRI Real-Time Neurofeedback.

Authors:  Takeo Watanabe; Yuka Sasaki; Kazuhisa Shibata; Mitsuo Kawato
Journal:  Trends Cogn Sci       Date:  2017-10-12       Impact factor: 20.229

Review 4.  Brain networks and their relevance for stroke rehabilitation.

Authors:  Adrian G Guggisberg; Philipp J Koch; Friedhelm C Hummel; Cathrin M Buetefisch
Journal:  Clin Neurophysiol       Date:  2019-04-15       Impact factor: 3.708

5.  Spatially bivariate EEG-neurofeedback can manipulate interhemispheric inhibition.

Authors:  Masaaki Hayashi; Kohei Okuyama; Nobuaki Mizuguchi; Ryotaro Hirose; Taisuke Okamoto; Michiyuki Kawakami; Junichi Ushiba
Journal:  Elife       Date:  2022-07-07       Impact factor: 8.713

6.  A Network Neuroscience of Neurofeedback for Clinical Translation.

Authors:  Andrew C Murphy; Danielle S Bassett
Journal:  Curr Opin Biomed Eng       Date:  2017-04-02

7.  Combined real-time fMRI and real time fNIRS brain computer interface (BCI): Training of volitional wrist extension after stroke, a case series pilot study.

Authors:  Avi K Matarasso; Jake D Rieke; Keith White; M Minhal Yusufali; Janis J Daly
Journal:  PLoS One       Date:  2021-05-06       Impact factor: 3.240

Review 8.  Real-Time fMRI in Neuroscience Research and Its Use in Studying the Aging Brain.

Authors:  Mohit Rana; Andrew Q Varan; Anis Davoudi; Ronald A Cohen; Ranganatha Sitaram; Natalie C Ebner
Journal:  Front Aging Neurosci       Date:  2016-10-18       Impact factor: 5.750

9.  Longitudinal Structural and Functional Differences Between Proportional and Poor Motor Recovery After Stroke.

Authors:  Adrian G Guggisberg; Pierre Nicolo; Leonardo G Cohen; Armin Schnider; Ethan R Buch
Journal:  Neurorehabil Neural Repair       Date:  2017-11-12       Impact factor: 3.919

10.  Application of fMRI and Simultaneous fMRI-EEG Neurofeedback in Post-Stroke Motor Rehabilitation.

Authors:  D D Bezmaternykh; K V Kalgin; P E Maximova; M Ye Mel'nikov; E D Petrovskii; E V Predtechenskaya; A A Savelov; A A Semenikhina; T N Tsaplina; M B Shtark; A V Shurunova
Journal:  Bull Exp Biol Med       Date:  2021-07-22       Impact factor: 0.804

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