Rose contributed as a co-editor of an e-book published by . The e-book is comprised of multiple papers which mainly investigate deep brain stimulation and is available for free download.
Submissions are open for Volume II of this Frontiers in Neuroscience Research Topic. Contributions from the research community are welcome for “Towards the Next Generation of Deep Brain Stimulation Therapies: Technological Advancements, Computational Methods, and New Targets”. Manuscripts can be submitted here.
Several journal articles were published by CML this year. The journals included IEEE Transactions on Biomedical Engineering, IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Access, Frontiers in neuroscience, IEEE/ACM Transactions on Computational Biology and Bioinformatics, and PLoS Computational Biology. Example focus areas of research covered in these journal publications included inferring sympathetic nervous system activation, seizure state tracking, designing closed-loop systems for stress regulation as well as energy regulation, quantification of growth hormone secretion and causality analysis of spike train data.
CML graduate students presented their research at the 2021 Annual International Conference of the IEEE Engineering in Medicine and Biology Society Conference (EMBC) and published three conference papers in proceedings of EMBC. Their research mainly described the impact of different types of music on cognitive arousal and performance during working memory experiments performed at CML. The conference papers focused on decoding cognitive arousal using skin conductance variations and functional near-infrared spectroscopy (fNIRS) data, characterizing cognitive performance based on behavioral data, and quantifying the performance as a function of cognitive arousal with the goal of eventually designing controllers that use music as an actuator to regulate arousal and improve performance. The experimental dataset used in these publications was collected by CML before the pandemic; those interested in collaborations on this dataset can contact Rose at rfaghih@nyu.edu to access the data. CML plans to make the dataset publicly available in the next couple of years for the public to use.
- Publications:
[1] McConnell, G.C., Santaniello, S., Gale, J.T., Faghih, R.T., Kemere, C., Han, M., Hilliard, J.D.,“Towards the Next Generation of Deep Brain Stimulation Therapies: Technological Advancements, Computational Methods, and New Targets“, Frontiers in Neuroscience, 2021.
[2] Steel A. G, Parekh S,Fekri Azgomi H, Badri Ahmadi M, Craik A, Pati S, Francis J. T.Contreras-Vidal J.L., and Faghih R.T., “A Mixed Filtering Approach for Real-Time Seizure State Tracking Using Multi-Channel Electroencephalography Data” IEEE Transactions on Neural Systems and Rehabilitation Engineering 2021. (Supplementary Info).
[3] Fekri Azgomi H, Cajigas I, and Faghih R.T., “Closed-Loop Cognitive Stress Regulation Using Fuzzy Control in Wearable-Machine Interface Architectures,” IEEE Access, 2021.
[4] , Brown , “Robust point-process Granger causality analysis in presence of exogenous temporal modulations and trial-by-trial variability in spike trains,” PLoS computational biology, 2021.
[5] Khazaei, S., Amin, M.R, and Faghih, R.T., “Decoding a Neurofeedback-Modulated Cognitive Arousal State to Investigate Performance Regulation by the Yerkes-Dodson Law.“The Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2021.
[6] Yaghmour, A., Amin, M.R, and Faghih, R.T., “Decoding a Music-Modulated Cognitive Arousal State using Electrodermal Activity and Functional Near-infrared Spectroscopy Measurements.“The Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2021.
[7] Amin, M.R, Tahir, M., and Faghih, R.T.,”A State-Space Investigation of Impact of Music on Cognitive Performance during a Working Memory Experiment.“The Annual International Conference of the IEEE Engineering in Medicine and Biology Society,2021.