Literature DB >> 27992103

Resting state functional connectivity measures correlate with the response to anodal transcranial direct current stimulation.

Brenton Hordacre1, Bahar Moezzi2, Mitchell R Goldsworthy1,3, Nigel C Rogasch4, Lynton J Graetz1, Michael C Ridding1.   

Abstract

Responses to non-invasive brain stimulation are highly variable between subjects. Resting state functional connectivity was investigated as a marker of plasticity induced by anodal transcranial direct current stimulation (tDCS). Twenty-six healthy adults (15 male, 26.4 ± 6.5 years) were tested. Experiment 1 investigated whether functional connectivity could predict modulation of corticospinal excitability following anodal tDCS. Experiment 2 determined test-retest reliability of connectivity measures. Three minutes of electroencephalography was recorded and connectivity was quantified with the debiased weighted phase lag index. Anodal (1 mA, 20 min) or sham tDCS was applied to the left primary motor cortex (M1), with a change in motor evoked potential amplitude recorded from the right first dorsal interosseous used as a marker of tDCS response. Connectivity in the high beta frequency (20-30 Hz) between an electrode approximating the left M1 (C3) and electrodes overlying the left parietal cortex was a strong predictor of tDCS response (cross-validated R2  = 0.69). Similar relationships were observed for alpha (8-13 Hz; R2  = 0.64), theta (4-7 Hz; R2  = 0.53), and low beta (14-19 Hz; R2  = 0.58) frequencies, however, test-retest reliability of connectivity measures was strongest for the high beta frequency model (ICC = 0.65; good reliability). Further investigation of the high beta model found that greater connectivity between C3 and a cluster of electrodes approximately overlying the left parietal cortex was associated with stronger responses to anodal (rho = 0.61, P = 0.03), but not sham tDCS (rho = 0.43, P = 0.14). Functional connectivity is a strong predictor of the neuroplastic response to tDCS and may be one important characteristic to assist targeted tDCS application.
© 2016 Federation of European Neuroscience Societies and John Wiley & Sons Ltd.

Keywords:  electroencephalography; motor cortex; partial least squares; plasticity; transcranial magnetic stimulation

Mesh:

Year:  2017        PMID: 27992103     DOI: 10.1111/ejn.13508

Source DB:  PubMed          Journal:  Eur J Neurosci        ISSN: 0953-816X            Impact factor:   3.386


  10 in total

1.  Neuroplasticity and network connectivity of the motor cortex following stroke: A transcranial direct current stimulation study.

Authors:  Brenton Hordacre; Bahar Moezzi; Michael C Ridding
Journal:  Hum Brain Mapp       Date:  2018-04-14       Impact factor: 5.038

Review 2.  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

3.  Repetitive transcranial magnetic stimulation for post-stroke depression: a randomised trial with neurophysiological insight.

Authors:  Brenton Hordacre; Kristina Comacchio; Lindy Williams; Susan Hillier
Journal:  J Neurol       Date:  2020-11-20       Impact factor: 4.849

4.  Adaptive threshold hunting for the effects of transcranial direct current stimulation on primary motor cortex inhibition.

Authors:  Ronan A Mooney; John Cirillo; Winston D Byblow
Journal:  Exp Brain Res       Date:  2018-04-02       Impact factor: 1.972

5.  Motor network connectivity predicts neuroplastic response following theta burst stimulation in healthy adults.

Authors:  Brenton Hordacre; Mitchell R Goldsworthy; Lynton Graetz; Michael C Ridding
Journal:  Brain Struct Funct       Date:  2021-05-27       Impact factor: 3.270

6.  Commentary: Cooperation Not Competition: Bihemispheric tDCS and fMRI Show Role for Ipsilateral Hemisphere in Motor Learning.

Authors:  Brenton Hordacre; Mitchell R Goldsworthy
Journal:  Front Hum Neurosci       Date:  2018-03-15       Impact factor: 3.169

7.  tDCS-induced episodic memory enhancement and its association with functional network coupling in older adults.

Authors:  Daria Antonenko; Dayana Hayek; Justus Netzband; Ulrike Grittner; Agnes Flöel
Journal:  Sci Rep       Date:  2019-02-19       Impact factor: 4.379

Review 8.  Transcranial Direct Current Stimulation to Facilitate Lower Limb Recovery Following Stroke: Current Evidence and Future Directions.

Authors:  Samuel Gowan; Brenton Hordacre
Journal:  Brain Sci       Date:  2020-05-21

9.  Varied Response of EEG Rhythm to Different tDCS Protocols and Lesion Hemispheres in Stroke Subjects with Upper Limb Dysfunction.

Authors:  Chunfang Wang; Yuanyuan Chen; Peiqing Song; Hongli Yu; Jingang Du; Ying Zhang; Changcheng Sun
Journal:  Neural Plast       Date:  2022-07-30       Impact factor: 3.144

10.  Connectivity as a Predictor of Responsiveness to Transcranial Direct Current Stimulation in People with Stroke: Protocol for a Double-Blind Randomized Controlled Trial.

Authors:  Ellana Welsby; Michael Ridding; Susan Hillier; Brenton Hordacre
Journal:  JMIR Res Protoc       Date:  2018-10-18
  10 in total

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