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Mehak Sood

Researcher at International Institute of Information Technology, Hyderabad

Publications -  8
Citations -  94

Mehak Sood is an academic researcher from International Institute of Information Technology, Hyderabad. The author has contributed to research in topics: Transcranial direct-current stimulation & Electroencephalography. The author has an hindex of 3, co-authored 5 publications receiving 68 citations.

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Journal ArticleDOI

NIRS-EEG joint imaging during transcranial direct current stimulation: Online parameter estimation with an autoregressive model.

TL;DR: A new online ARX model based tracking method allows continuous assessment of the transient coupling between the electrophysiological (EEG) and the hemodynamic (NIRS) signals representing resting-state spontaneous brain activation during anodal tDCS.
Journal ArticleDOI

Development of Point of Care Testing Device for Neurovascular Coupling From Simultaneous Recording of EEG and NIRS During Anodal Transcranial Direct Current Stimulation

TL;DR: It was concluded that the anodal tDCS can perturb the local neural and the vascular activity (via NVC) which can be used for assessing regional NVC functionality where confirmatory clinical studies are required.
Proceedings ArticleDOI

Corticospinal excitability changes to anodal tDCS elucidated with NIRS-EEG joint-imaging: An ischemic stroke study

TL;DR: It is proposed to combine NIRS-EEG/tDCS joint-imaging with corticospinal excitability investigation in a single study to confirm the finding that post-tDCS changes in the mean rSO2 from baseline mostly correlated with the corresponding post- tDCS change in log-transformed mean-power of EEG.
Proceedings ArticleDOI

Anterior temporal artery tap to identify systemic interference using short-separation NIRS measurements: A NIRS/EEG-tDCS study

TL;DR: It is demonstrated that temporal artery tap may be used to better identify systemic interference using near-infrared spectroscopy using this short-separation NIRS, and proposed that anterior temporal arteryTap technique presented in this paper may be able to classify carotid stenosis, externalCarotid artery stenosis and internal carotids patients using the laterality in the hemodynamic response evoked by anodal tDCS both at the brain as well as at the superficial layers.
Proceedings ArticleDOI

Near infra-red spectroscopy combined with transcranial direct current stimulation in FPGA-based hardware for point of care testing of cerebral vascular status - A stroke study

TL;DR: A 4-channel continuous wave NIRS combined with tDCS in an FPGA-based hardware that captured the hemodynamic changes in the frontal cortex of the brain, as a measure of CVR, before and after anodal tDCS is presented.