Funded projects

NIH EB T32 EB025816      (2019-2024)      

Training in Computational Neural Engineering

PIs: Stanly, Ting (MPI)

An innovative training program at Georgia Tech and Emory University to train the next generation of researchers at the intersection of computational neuroscience, data science, and clinical neurophysiology. 
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Emory Synergy/Nexus II for SoM/ECAS collaboration      

Mapping the human gait-ome: Automated analysis of individual-specific walking patterns in health & disease

PIs: Ting, Nemenman, Kesar, Berman, McKay
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NIH R01 HD90642-06        (2021-2026)

Multi-scale models of proprioceptive encoding to reveal mechanisms of impaired sensorimotor control

MPIs: Ting, Cope, Sawicki

To develop integrated models of muscle spindles proprioceptive afferents and musculotendon dynamics to understand neural contributors to joint hyperresistance disorders across multiple neurological disorders, such as spasticity and hypertonia. 
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NSF CMMI 1762211 / 1761679            (2018-2023) (NCE)

Collaborative Research: Enhancing Gait Dynamics via Physical Human-human and Human-Robot Interactions at the Hands

Emory PI: Lena Ting; co-I: Madeleine Hackney

Georgia Tech: PI: Irfan Essa; co-PI: Jun Ueda

To understand how small forces applied to the hand can be used to alter clinically-relevant human gait patterns: Stage 1, the project team will measure interactive human-to-human hand forces and the resulting gait motions that occur during the proposed therapeutic intervention.  Stage 2, the project team will develop a model of the motor and cognitive transformations that occurred during Stage 1. They will then embed the models within a novel robotic test-bed to implement physical human-robot interactions at the hands. 

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NIH R01 HD46922-10        (2017-2023) (NCE)

Neuromechanical Modeling of Postural Responses: Mechanisms of Balance Impairments in Parkinson's Disease                                             

PI: Lena Ting; co-I's: Erin Buckley, Stewart Factor, Madeleine Hackney, Lucas McKay

To measure and simulate the causal role of increased muscle activity due to rigidity on balance ability

NIH R01 HD090642 (2016-2021)

CRCNS: Collaborative Research: Multi-scale models of muscle spindles for understanding sensorimotor control

PI: Lena Ting; Co-I's: Tim Cope, Ken Campbell (UKentucky)

To develop muscle model based on cross-bridge, musculotendon, and neuron properties that accounts for behaviorally-relevant history-dependent behaviors of sensory encoding in spindles.


NIH R01 NR016151 (2015-2018)

NRI: Collaborative Research: Quadrupedal Human-Assistive Robotic Platform (Q-HARP)

PI: Xianrong Shen (UAlabama); Co-PI's: Sanford Meek, Lena Ting, Cang Ye 

Our role is to measure interaction forces between caregivers frail older adults during assisted walking in order to provide design target for an assistive robot. 


 GT/GSU Center for Advanced Brain Imaging Seed Grant (2016-2017)

Neuroimaging to predict gait rehabilitation outcomes post-stroke

PI: Lena Ting; Co-PI's: Jessica Allen, Michael Borich, Trisha Kesar, Shella Keilholz

To identify whether brain structure and resting state connectivity predict responders and nonresponders to gait rehabilitation.


NSF EFRI 1137229 (2011 -2015, NCE to 2017)

M3C: Partnered Rehabilitative Movement: Cooperative human-robot interaction for motor rehabilitation, learning, and communication 

PI: Lena Ting; Co-PI's: Madeleine Hackney, Charlie Kemp, Karen Liu

To develop novel predictive models for motor cooperation based on haptic interaction that forge new paths toward fully automated robots that can physically to enhance, assist, and improve motor skills in humans with varying motor capabilities.


NIH R21 HD075612  (2013 -2015, NCE to 2017)

Mechanisms of improvement in neurorehabilitation of Parkinson's Disease 

PI: Lena Ting; Co-PI: Madeleine Hackney,

To investigate improvements in balance following adapted tango rehabilitation are mediated by basal-ganglia versus cerebellar plasticity.


NIH R01 NS053822   (2007-2013) 

Neuromechanical Determinants of Muscle Activity in Human Postural Responses

PI: Lena Ting; co-PI's: Steve Wolf

The goal is to experimentally and computationally model spatial and temporal patterns of muscle activity and their functional consequences during human postural control. 


 NIH R01 HD46922        (2004-2016)

Neuromechanical Modeling of Postural Responses                                             

PI: Lena Ting

The goal is to analyze and model musculoskeletal coordination in the cat hindlimb during balance responses in normal and neurologically impaired animals.


GT Neural Engineering Center Seed Grant    (2015-2016)

Measuring and manipulating cortical brain activity for human balance

PI: Lena Ting; co-PI's: Micheal Borich, Minoru Shinohara, Eric Schumacher

To measure changes in electroencephalographic (EEG) event related potentials (ERPs) during perturbation to standing balance, and alter them with noninvasive neural stimuation.

 

NIH F31 AG081129                   (2022-2026)

The effect of aging and cognitive impairment on prefrontal cortical inputs to motor cortical outputs during standing balance control.

Mason (PI)

Co-Mentor with Borich and Kesar

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 ASEE Fellows Postdoctoral Fellowship

Physiologically inspired, machine learning-based exoskeleton controller to prevent falls

Jakubowski (PI)

Co-Mentor with Sawicki and Young

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NIH F31HD107968                    (2022-2025)

Individual-specific gait signatures for stroke rehabilitation

Winner (PI)
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NIH F32HD105458                    (2021-2023)

Correlates of whole-body motion perception during balance perturbations in stroke survivors and their relationship to balance function

Mirdamadi (PI)
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NSF GRFP                                       (2020-2023)

Boebinger (PI)

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Previous

 

McCamish Postdoctoral Fellowship     (2021-2023)

Muscle coactivation and balance control in older adults with and without Parkinson’s disease

Beck (PI)
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NSF GRFP                                      (2019-2022)

Winner (PI) 

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NIH T32 Translational Neurology       (2020-2021)      

Correlates of whole-body motion perception during balance perturbations in stroke survivors and their relationship to balance function 

Mirdamadi (PI)

Co-Mentor with Borich

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AHA Postdoctoral Fellowship            (2018-2020) 

Cortical connectivity during functional balance reactions in stroke survivors 

Palmer (PI)    

Co-Mentor with Borich
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NIH F32 HD096816                           (2019-2021)         

Cortical connectivity during functional balance reactions in stroke survivors

Palmer (PI)                

Co-Mentor with Borich
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Government of Canada, Natural Sciences and Engineering Research Council of Canada

Banting Postdoctoral Fellowship (2018-2020)   

How current movement shapes future sensory feedback: A multiscale investigation of how changing muscle mechanics affects muscle spindle sensory feedback and control of standing balance

PI: Brian Horslen
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NIH K25HD06276 (2016-2020)   

Neural Mechanisms of balance deficit, falls, and freezing of gait in Parkinson's disease

PI: J. Lucas McKay
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ACTSI KL2   Mentored Clinical and Translational Research Scholars (MCTRS)   (2014-2016)      

Reactive Balance to Identify Disease Phenotypes and Predict Falls in Parkinson’s Disease

PI: J. Lucas McKay
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NIH F32NS087775  (2015-2017)

Muscle coordination changes affecting impaired balance control post-stroke.

PI: Jessica Allen

PI: Brian Horslen
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NIH  F31NS093855 (2015-2018)   

Proprioceptive models for control of movement

PI: Kyle Blum

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Udall Parkinson's Pilot Grant

PIs: Ting, Borich

Co-Is: McKay, Miocinovic

Coritcal activity underlying impaired reactive and anticipatory postural control in Parkinson's disease.

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NIH R01 AG072756-A1                     (2021-2026)

Engagement of cortical resources for standing balance control in aging and post-stroke

PIs: Ting, Borich (MPI)                     

To identify cortical activity signatures of engagement of cortical resources for balance control using EEG during perturbed balance control. (score: 24, 7th %-ile)