Literature DB >> 29915259

Low-frequency cortical activity is a neuromodulatory target that tracks recovery after stroke.

Dhakshin S Ramanathan1,2,3,4,5, Ling Guo1,6, Tanuj Gulati1,7, Gray Davidson1,2,3, April K Hishinuma1,7, Seok-Joon Won1,7, Robert T Knight8,9, Edward F Chang10, Raymond A Swanson1,7, Karunesh Ganguly11,12.   

Abstract

Recent work has highlighted the importance of transient low-frequency oscillatory (LFO; <4 Hz) activity in the healthy primary motor cortex during skilled upper-limb tasks. These brief bouts of oscillatory activity may establish the timing or sequencing of motor actions. Here, we show that LFOs track motor recovery post-stroke and can be a physiological target for neuromodulation. In rodents, we found that reach-related LFOs, as measured in both the local field potential and the related spiking activity, were diminished after stroke and that spontaneous recovery was closely correlated with their restoration in the perilesional cortex. Sensorimotor LFOs were also diminished in a human subject with chronic disability after stroke in contrast to two non-stroke subjects who demonstrated robust LFOs. Therapeutic delivery of electrical stimulation time-locked to the expected onset of LFOs was found to significantly improve skilled reaching in stroke animals. Together, our results suggest that restoration or modulation of cortical oscillatory dynamics is important for the recovery of upper-limb function and that they may serve as a novel target for clinical neuromodulation.

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Mesh:

Year:  2018        PMID: 29915259      PMCID: PMC6093781          DOI: 10.1038/s41591-018-0058-y

Source DB:  PubMed          Journal:  Nat Med        ISSN: 1078-8956            Impact factor:   53.440


  65 in total

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Journal:  J Physiol       Date:  1992-02       Impact factor: 5.182

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Journal:  Exp Neurol       Date:  1979-07       Impact factor: 5.330

4.  Cortical preparatory activity: representation of movement or first cog in a dynamical machine?

Authors:  Mark M Churchland; John P Cunningham; Matthew T Kaufman; Stephen I Ryu; Krishna V Shenoy
Journal:  Neuron       Date:  2010-11-04       Impact factor: 17.173

5.  Neural substrates for the effects of rehabilitative training on motor recovery after ischemic infarct.

Authors:  R J Nudo; B M Wise; F SiFuentes; G W Milliken
Journal:  Science       Date:  1996-06-21       Impact factor: 47.728

6.  Epidural Electrical Stimulation for Stroke Rehabilitation: Results of the Prospective, Multicenter, Randomized, Single-Blinded Everest Trial.

Authors:  Robert M Levy; Richard L Harvey; Brett M Kissela; Carolee J Winstein; Helmi L Lutsep; Todd B Parrish; Steven C Cramer; Lalit Venkatesan
Journal:  Neurorehabil Neural Repair       Date:  2015-03-06       Impact factor: 3.919

7.  Premovement slow cortical potentials on self-paced hand movements and thalamocortical and corticocortical responses in the monkey.

Authors:  K Sasaki; H Gemba; S Hashimoto
Journal:  Exp Neurol       Date:  1981-04       Impact factor: 5.330

8.  Optogenetic mapping after stroke reveals network-wide scaling of functional connections and heterogeneous recovery of the peri-infarct.

Authors:  Diana H Lim; Jeffrey M LeDue; Majid H Mohajerani; Timothy H Murphy
Journal:  J Neurosci       Date:  2014-12-03       Impact factor: 6.167

9.  Restoration of function after brain damage using a neural prosthesis.

Authors:  David J Guggenmos; Meysam Azin; Scott Barbay; Jonathan D Mahnken; Caleb Dunham; Pedram Mohseni; Randolph J Nudo
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-09       Impact factor: 11.205

10.  Real-time estimation and biofeedback of single-neuron firing rates using local field potentials.

Authors:  Thomas M Hall; Kianoush Nazarpour; Andrew Jackson
Journal:  Nat Commun       Date:  2014-11-14       Impact factor: 14.919

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  27 in total

1.  Plug-and-play control of a brain-computer interface through neural map stabilization.

Authors:  Daniel B Silversmith; Reza Abiri; Nicholas F Hardy; Nikhilesh Natraj; Adelyn Tu-Chan; Edward F Chang; Karunesh Ganguly
Journal:  Nat Biotechnol       Date:  2020-09-07       Impact factor: 54.908

2.  Multi-modal factors for recovery prognosis in acute stroke.

Authors:  Franca Tecchio; Maria Luisa Malosio; Filippo Zappasodi; Giovanni Assenza; Rosanna Squitti
Journal:  Aging Clin Exp Res       Date:  2019-09-14       Impact factor: 3.636

3.  Preclinical Studies of Neuroplasticity Following Experimental Brain Injury.

Authors:  David T Bundy; Randolph J Nudo
Journal:  Stroke       Date:  2019-08-08       Impact factor: 7.914

4.  Low-Frequency Oscillations Are a Biomarker of Injury and Recovery After Stroke.

Authors:  Jessica M Cassidy; Anirudh Wodeyar; Jennifer Wu; Kiranjot Kaur; Ashley K Masuda; Ramesh Srinivasan; Steven C Cramer
Journal:  Stroke       Date:  2020-04-17       Impact factor: 7.914

5.  Cholinergic upregulation by optogenetic stimulation of nucleus basalis after photothrombotic stroke in forelimb somatosensory cortex improves endpoint and motor but not sensory control of skilled reaching in mice.

Authors:  Behroo Mirza Agha; Roya Akbary; Arashk Ghasroddashti; Mojtaba Nazari-Ahangarkolaee; Ian Q Whishaw; Majid H Mohajerani
Journal:  J Cereb Blood Flow Metab       Date:  2020-10-26       Impact factor: 6.200

6.  Mapping Large-Scale Networks Associated with Action, Behavioral Inhibition and Impulsivity.

Authors:  L Fakhraei; M Francoeur; P Balasubramani; T Tang; S Hulyalkar; N Buscher; C Claros; A Terry; A Gupta; H Xiong; Z Xu; J Mishra; D S Ramanathan
Journal:  eNeuro       Date:  2021-02-26

7.  Low-frequency stimulation enhances ensemble co-firing and dexterity after stroke.

Authors:  Preeya Khanna; Douglas Totten; Lisa Novik; Jeffrey Roberts; Robert J Morecraft; Karunesh Ganguly
Journal:  Cell       Date:  2021-02-10       Impact factor: 41.582

8.  Epidural cerebellar stimulation drives widespread neural synchrony in the intact and stroke perilesional cortex.

Authors:  Aamir Abbasi; Nathan P Danielsen; Jennifer Leung; A K M G Muhammad; Saahil Patel; Tanuj Gulati
Journal:  J Neuroeng Rehabil       Date:  2021-05-26       Impact factor: 4.262

9.  Electrophysiological Correlates of Rodent Default-Mode Network Suppression Revealed by Large-Scale Local Field Potential Recordings.

Authors:  Leila Fakhraei; Miranda Francoeur; Pragathi P Balasubramani; Tianzhi Tang; Sidharth Hulyalkar; Nathalie Buscher; Jyoti Mishra; Dhakshin S Ramanathan
Journal:  Cereb Cortex Commun       Date:  2021-05-05

10.  Subthreshold electrical stimulation as a low power electrical treatment for stroke rehabilitation.

Authors:  Kyungsoo Kim; Seung-Jun Yoo; So Yeon Kim; Taeju Lee; Sung-Ho Lim; Jae-Eun Jang; Minkyu Je; Cheil Moon; Ji-Woong Choi
Journal:  Sci Rep       Date:  2021-07-07       Impact factor: 4.379

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