ORCID Profile
0000-0001-9249-2994
Current Organisations
University of Toronto
,
Simon Fraser University - Surrey
,
Centre for Addiction and Mental Health
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Publisher: Oxford University Press (OUP)
Date: 17-12-2014
DOI: 10.1093/BRAIN/AWU360
Publisher: Elsevier BV
Date: 09-2009
DOI: 10.1016/J.CLINPH.2009.06.019
Abstract: The induction of long interval cortical inhibition (LICI) in motor cortex with paired pulse transcranial magnetic stimulation (ppTMS) is an established paradigm for the assessment of cortical inhibition, proposed to be related to GABA(B) receptor inhibitory neurotransmission. This study aimed to further evaluate recent methods of the assessment of LICI in non motor regions with ppTMS and electroencephalography (EEG). ppTMS was applied using a single coil to the motor and dorsolateral prefrontal cortex (DLPFC) in 14 healthy subjects, and in the parietal lobe in 5 of those subjects. In the motor cortex, LICI resulted in significant suppression in mean cortical evoked activity on EEG between 75 and 250 ms following delivery of the test stimulus. Maximal inhibition was seen from 50 to 250 ms in DLPFC, and between 50 and 175 ms in the parietal lobe. ppTMS may be used to produce LICI in several cortical regions with a time course similar to known GABA(B) activity. ppTMS induction of LICI can be recorded by combining TMS with EEG and seems to relate to GABA(B) activity.
Publisher: Elsevier BV
Date: 11-2014
DOI: 10.1016/J.NEUROIMAGE.2014.07.037
Abstract: The combination of transcranial magnetic stimulation and electroencephalography (TMS-EEG) is emerging as a powerful tool for causally investigating cortical mechanisms and networks. However, various artefacts contaminate TMS-EEG recordings, particularly over regions such as the dorsolateral prefrontal cortex (DLPFC). The aim of this study was to substantiate removal of artefacts from TMS-EEG recordings following stimulation of the DLPFC and motor cortex using independent component analysis (ICA). 36 healthy volunteers (30.8 ± 9 years, 9 female) received 75 single TMS pulses to the left DLPFC or left motor cortex while EEG was recorded from 57 electrodes. A subset of 9 volunteers also received 50 sham pulses. The large TMS artefact and early muscle activity (-2 to ~15 ms) were removed using interpolation and the remaining EEG signal was processed in two separate ICA runs using the FastICA algorithm. Five sub-types of TMS-related artefacts were manually identified: remaining muscle artefacts, decay artefacts, blink artefacts, auditory-evoked potentials and other noise-related artefacts. The cause of proposed blink and auditory-evoked potentials was assessed by concatenating known artefacts (i.e. voluntary blinks or auditory-evoked potentials resulting from sham TMS) to the TMS trials before ICA and evaluating grouping of resultant independent components (ICs). Finally, we assessed the effect of removing specific artefact types on TMS-evoked potentials (TEPs) and TMS-evoked oscillations. Over DLPFC, ICs from proposed muscle and decay artefacts correlated with TMS-evoked muscle activity size, whereas proposed TMS-evoked blink ICs combined with voluntary blinks and auditory ICs with auditory-evoked potentials from sham TMS. In idual artefact sub-types characteristically distorted each measure of DLPFC function across the scalp. When free of artefact, TEPs and TMS-evoked oscillations could be measured following DLPFC stimulation. Importantly, characteristic TEPs following motor cortex stimulation (N15, P30, N45, P60, N100) could be recovered from artefactual data, corroborating the reliability of ICA-based artefact correction. Various different artefacts contaminate TMS-EEG recordings over the DLPFC and motor cortex. However, these artefacts can be removed with apparent minimal impact on neural activity using ICA, allowing the study of TMS-evoked cortical network properties.
Publisher: Elsevier BV
Date: 06-2012
DOI: 10.1016/J.BRAINRES.2012.04.045
Abstract: Transcranial magnetic stimulation (TMS) is used to index several neurophysiological processes including excitability, inhibition and plasticity. However, these measures are conventionally limited to the motor cortex and recorded from peripheral muscles. This represents a significant limitation when non-motor neurophysiological processes are of primary interest. In the last several years, TMS has been combined with electroencephalography (EEG) to derive such measures directly from the cortex. Initial studies demonstrated that meaningful recordings could be derived without being substantially affected by TMS stimulus artifact due to advancements in EEG lifier technology. Subsequently, TMS measures of cortical excitability were reliably recorded and found to be related with more conventional TMS electromyography recordings of excitability in the cortex. More recently, other key neurophysiological indices including cortical inhibition and interhemispheric connectivity have also been reported. In this article, such findings will be reviewed and their importance discussed vis à vis healthy and disease states. We will conclude by highlighting the limitations of this work and discuss their potential future applications as a biomarker of disease states.
Publisher: Springer Science and Business Media LLC
Date: 03-07-2013
DOI: 10.1038/NPP.2013.161
No related grants have been discovered for Faranak Farzan.