Tharan Suresh
@tharan10
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PhD candidate @UTAustin | Motor learning & Memory | @iitgn | @OffCMCVellore
Austin, TX
Joined May 2010
I’m in Chicago for the Targeted Neuroplasticity workshop organized by @AbilityLab. I’ll also present our work on motor sequence learning-related mu phase-dependent corticospinal plasticity at @SfNtweets. Come say hi if you’re around, would love to chat! @Sarabellum8
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I'm excited to share that I've been awarded the Continuing Graduate Fellowship for the upcoming school year! I'll dive deeper to understand how oscillations influence motor learning and memory using real-time TMS-EEG! Big thanks to @utgradschool @UTAustin and @Sarabellum8.
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I’m excited to announce that on this Independence Day 🇮🇳, I've hit a new milestone in my PhD journey - I'm officially a candidate now! 📚🥂.
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Our findings emphasize the importance of considering both metrics when using real-time phase-dependent TMS for measurement or interventional purposes. You can find the full text here -
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We found that the relationship between mu power and corticospinal output was strongest and most positive for mu troughs, followed by random phases and mu peaks.
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The model containing mu phase, mixed mu power (i.e., the sum of periodic and aperiodic mu power), and their interaction fit the data best, replicating our previous findings that mixed mu power-phase interactions influence corticospinal output.
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We then quantitatively compared four statistical models that accounted for mu rhythm phase, mu power (including periodic and aperiodic components), and their interactions.
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The sensorimotor mu rhythm oscillates from 8-13 Hz and influences corticospinal output. To systematically test which mu rhythm features are most relevant, we delivered single-pulse TMS during mu rhythm trough, peak, and random phases in healthy adults.
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I’m excited to share my latest work with @Sarabellum8, in the form of a Letter to the Editor at @brainstimj! Here, we focused on the sensorimotor mu rhythm’s contribution to human corticospinal output.
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A very good opportunity with a brilliant scientist!.
Looking for motivated students for PhD position in my lab at @IITHyderabad. My lab is doing research on motor learning, memory, action perception interaction using techniques like magnetic stimulation & EEG. DM for detail. Kindly RT.
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A pleasure to be back at @cogsiitgn - thanks @pratik_mutha @NivethidaT @iitgn @EMBO @India_Alliance.
@tharan10, an alumnus of IITGN @cogsiitgn, and Ph.D. student at @UTAustin presenting his #research work at @EMBO @India_Alliance lecture course on #learning related plasticity. Great to have you back, Tharan! .@pratik_mutha #neuroscience #brain #motor
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Cool talks by cool folks! What's not to like? Highly recommend!.
The Centre for Cognitive and Brain Sciences and the Curiosity Lab @iitgn is pleased to announce the “Camp CogSci 2022” for school children of classes 8 to 12, parents & teachers. The event will be held online during Jan 7-9, 2022, to share fun & excitement of learning #CogScience
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RT @brainstimj: @Sarabellum8 et al show that phase-dependent #TMS during mu trough, but not mu peak phases, enhanced offline learning of a….
brainstimjrnl.com
Skill learning engages offline activity in the primary motor cortex (M1). Sensorimotor cortical activity oscillates between excitatory trough and inhibitory peak phases of the mu (8–12 Hz) rhythm. We...
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Congratulations @motorchauvinist ! Brilliance at work and an amazing person.
Another one flies the nest. The amazing @motorchauvinist (Adarsh Kumar) passed his doctoral defense with flying colors today. Adarsh worked on understanding the neural mechanisms that lead to the formation of effector-independent motor representations.
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