Author Archives: lrnlab

We are actively recruiting PhD students for the Fall 2018 semester. We use a range of systems neuroscience techniques that include functional magnetic resonance imaging (fMRI), structural MRI, diffusion imaging (DTI), electromyography (EMG), high-density electroencephalography (EEG), and pain stimulation procedures. … Continue reading →

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Article here Abstract Progression markers of Parkinson’s disease are crucial for successful therapeutic development. Recently, a diffusion magnetic resonance imaging analysis technique using a bitensor model was introduced allowing the estimation of the fractional volume of free water within a … Continue reading →

Abstract Burciu et al. (2017) https://www.ncbi.nlm.nih.gov/pubmed/28594097 Cervical dystonia (CD) is the most common type of focal dystonia, causing abnormal movements of the neck and head. In this study, we used noninvasive imaging to investigate the motor system of patients with … Continue reading →

Cereb Cortex. 2017 Mar 14:1-15. doi: 10.1093/cercor/bhx066. [Epub ahead of print] A Template and Probabilistic Atlas of the Human Sensorimotor Tracts using Diffusion MRI. Archer DB, Vaillancourt DE, Coombes SA. Abstract The purpose of this study was to develop a … Continue reading →

J Neurophysiol. 2016 Nov 30:jn.00650.2016. doi: 10.1152/jn.00650.2016. [Epub ahead of print] Automated Classification of Pain Perception using High Density Electroencephalography Data. Misra G, Wang WE, Archer DB, Roy A, Coombes SA1. Translating brief millisecond-long pain-eliciting stimuli to the subjective perception … Continue reading →

Abstract Accurate motor performance may depend on the scaling of distinct oscillatory activity within the motor cortex and effective neural communication between the motor cortex and other brain areas. Oscillatory activity within the beta-band (13-30Hz) has been suggested to provide … Continue reading →

Abstract Developing in vivo functional and structural neuroimaging assays in Dyt1 ΔGAG heterozygous knock-in (Dyt1 KI) mice provide insight into the pathophysiology underlying DYT1 dystonia. In the current study, we examined in vivo functional connectivity of large-scale cortical and subcortical … Continue reading →

Hum Brain Mapp. 2016 Feb 27. doi: 10.1002/hbm.23155. Microstructural properties of premotor pathways predict visuomotor performance in chronic stroke. Archer DB, Misra G, Patten C, Coombes SA. http://www.ncbi.nlm.nih.gov/pubmed/26920656 Microstructural properties of the corticospinal tract (CST) descending from the motor cortex … Continue reading →