Literature DB >> 27911366

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy.

Mouhsin M Shafi1, Susan Whitfield-Gabrieli2, Catherine J Chu3, Alvaro Pascual-Leone4, Bernard S Chang5.   

Abstract

Resting-state functional connectivity MRI (rs-fcMRI) is a technique that identifies connectivity between different brain regions based on correlations over time in the blood-oxygenation level dependent signal. rs-fcMRI has been applied extensively to identify abnormalities in brain connectivity in different neurologic and psychiatric diseases. However, the relationship among rs-fcMRI connectivity abnormalities, brain electrophysiology and disease state is unknown, in part because the causal significance of alterations in functional connectivity in disease pathophysiology has not been established. Transcranial Magnetic Stimulation (TMS) is a technique that uses electromagnetic induction to noninvasively produce focal changes in cortical activity. When combined with electroencephalography (EEG), TMS can be used to assess the brain's response to external perturbations. Here we provide a protocol for combining rs-fcMRI, TMS and EEG to assess the physiologic significance of alterations in functional connectivity in patients with neuropsychiatric disease. We provide representative results from a previously published study in which rs-fcMRI was used to identify regions with abnormal connectivity in patients with epilepsy due to a malformation of cortical development, periventricular nodular heterotopia (PNH). Stimulation in patients with epilepsy resulted in abnormal TMS-evoked EEG activity relative to stimulation of the same sites in matched healthy control patients, with an abnormal increase in the late component of the TMS-evoked potential, consistent with cortical hyperexcitability. This abnormality was specific to regions with abnormal resting-state functional connectivity. Electrical source analysis in a subject with previously recorded seizures demonstrated that the origin of the abnormal TMS-evoked activity co-localized with the seizure-onset zone, suggesting the presence of an epileptogenic circuit. These results demonstrate how rs-fcMRI, TMS and EEG can be utilized together to identify and understand the physiological significance of abnormal brain connectivity in human diseases.

Entities:  

Mesh:

Year:  2016        PMID: 27911366      PMCID: PMC5226225          DOI: 10.3791/53727

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  71 in total

1.  A safety screening questionnaire for transcranial magnetic stimulation.

Authors:  J C Keel; M J Smith; E M Wassermann
Journal:  Clin Neurophysiol       Date:  2001-04       Impact factor: 3.708

2.  TMS-induced artifacts on EEG can be reduced by rearrangement of the electrode's lead wire before recording.

Authors:  Hirofumi Sekiguchi; Shigeki Takeuchi; Hiroshi Kadota; Yutaka Kohno; Yasoichi Nakajima
Journal:  Clin Neurophysiol       Date:  2011-05       Impact factor: 3.708

3.  Human cortical excitability increases with time awake.

Authors:  Reto Huber; Hanna Mäki; Mario Rosanova; Silvia Casarotto; Paola Canali; Adenauer G Casali; Giulio Tononi; Marcello Massimini
Journal:  Cereb Cortex       Date:  2012-02-07       Impact factor: 5.357

4.  A component based noise correction method (CompCor) for BOLD and perfusion based fMRI.

Authors:  Yashar Behzadi; Khaled Restom; Joy Liau; Thomas T Liu
Journal:  Neuroimage       Date:  2007-05-03       Impact factor: 6.556

5.  Removing artefacts from TMS-EEG recordings using independent component analysis: importance for assessing prefrontal and motor cortex network properties.

Authors:  Nigel C Rogasch; Richard H Thomson; Faranak Farzan; Bernadette M Fitzgibbon; Neil W Bailey; Julio C Hernandez-Pavon; Zafiris J Daskalakis; Paul B Fitzgerald
Journal:  Neuroimage       Date:  2014-07-25       Impact factor: 6.556

6.  The effect of stimulus parameters on TMS-EEG muscle artifacts.

Authors:  Tuomas Mutanen; Hanna Mäki; Risto J Ilmoniemi
Journal:  Brain Stimul       Date:  2012-08-10       Impact factor: 8.955

7.  Cortical inhibition in attention deficit hyperactivity disorder: new insights from the electroencephalographic response to transcranial magnetic stimulation.

Authors:  Sarah Bruckmann; Daniela Hauk; Veit Roessner; Franz Resch; Christine M Freitag; Thomas Kammer; Ulf Ziemann; Aribert Rothenberger; Matthias Weisbrod; Stephan Bender
Journal:  Brain       Date:  2012-04-03       Impact factor: 13.501

8.  Efficacy of transcranial magnetic stimulation targets for depression is related to intrinsic functional connectivity with the subgenual cingulate.

Authors:  Michael D Fox; Randy L Buckner; Matthew P White; Michael D Greicius; Alvaro Pascual-Leone
Journal:  Biol Psychiatry       Date:  2012-06-01       Impact factor: 13.382

9.  Capturing the epileptic trait: cortical excitability measures in patients and their unaffected siblings.

Authors:  Radwa A B Badawy; Simon J Vogrin; Alan Lai; Mark J Cook
Journal:  Brain       Date:  2013-03-12       Impact factor: 13.501

10.  MNE software for processing MEG and EEG data.

Authors:  Alexandre Gramfort; Martin Luessi; Eric Larson; Denis A Engemann; Daniel Strohmeier; Christian Brodbeck; Lauri Parkkonen; Matti S Hämäläinen
Journal:  Neuroimage       Date:  2013-10-24       Impact factor: 6.556

View more
  1 in total

1.  Introducing a Novel Approach for Evaluation and Monitoring of Brain Health Across Life Span Using Direct Non-invasive Brain Network Electrophysiology.

Authors:  Noa Zifman; Ofri Levy-Lamdan; Gil Suzin; Shai Efrati; David Tanne; Hilla Fogel; Iftach Dolev
Journal:  Front Aging Neurosci       Date:  2019-09-09       Impact factor: 5.750

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.