← Leaderboards
Marc W. Slutzky
Northwestern University At Chicago
$10,330,710
Attributed
$13,458,818
Total exposure
8
Grants
8
Lead (contact PI)
Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants.
Funding over time
peak $4.7M · FY2007–25$5M$3.8M$2.5M$1.3M$0
'07
'08
'09
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$13,458,818 · 8
By mechanism
R01$7,982,573 · 4
RF1$4,175,793 · 1
K08$839,160 · 1
R21$421,292 · 1
R13$40,000 · 1
Top collaborators
- An Do5 shared
- Ken A Paller5 shared
- Yasin Yousef Dhaher2 shared
Most similar at Northwestern University At Chicago
Same institution · by research overlap
- Andrew H Hansen$124,740
- James Andrew Beauchamp$83,258
- Kimberly Jiyun Hemmerling$88,803
Others in their field
Top investigators on “Stroke”
- Judith S Hochman · New York University School Of Medicine$100,533,713
- Joseph Paul Broderick · University Of Cincinnati$91,227,021
- Merit E Cudkowicz · Massachusetts General Hospital$58,780,575
- Paul M. Ridker · Brigham And Women'S Hospital$56,179,451
- Marinella Temprosa · George Washington University$56,125,420
- Anne Christine Gelijns · Icahn School Of Medicine At Mount Sinai$53,611,126
Research focus
StrokeMuscleTrainingAmericanBrainHandDisabilitySignal TransductionInnovationMovementTranslatingDevicesConventional TherapyFunctional ImprovementChronic StrokeMotorMotor Function ImprovementDesignImpairmentBaseArm FunctionFeedbackDoseKinematics
Grant awards (26)
MINT conditioning to improve post-stroke gait$694,300
R01 · FY2025 · HD · contact PI
MINT conditioning to improve post-stroke gait$689,536
R01 · FY2024 · HD · contact PI
Neuronal and Network Mechanisms of Electrocortical Stimulation$4,175,793
RF1 · FY2023 · NS · contact PI
Combining myoelectric training with sleep-based memory reactivation to improve motor recovery after stroke$509,225
R01 · FY2023 · NS · contact PI
Combining myoelectric training with sleep-based memory reactivation to improve motor recovery after stroke$509,225
R01 · FY2022 · NS · contact PI
Combining myoelectric training with sleep-based memory reactivation to improve motor recovery after stroke$516,639
R01 · FY2021 · NS · contact PI
Combining myoelectric training with sleep-based memory reactivation to improve motor recovery after stroke$516,639
R01 · FY2020 · NS · contact PI
A wearable myoelectric computer interface to reduce muscle co-activation in acute and chronic stroke$344,845
R01 · FY2020 · NS · contact PI
Combining myoelectric training with sleep-based memory reactivation to improve motor recovery after stroke$532,329
R01 · FY2019 · NS · contact PI
Designing brain machine interfaces to drive plasticity and enhance recovery after brain injury$437,343
R01 · FY2019 · NS · contact PI
A wearable myoelectric computer interface to reduce muscle co-activation in acute and chronic stroke$344,239
R01 · FY2019 · NS · contact PI
Designing brain machine interfaces to drive plasticity and enhance recovery after brain injury$438,184
R01 · FY2018 · NS · contact PI
A wearable myoelectric computer interface to reduce muscle co-activation in acute and chronic stroke$347,611
R01 · FY2018 · NS · contact PI
Seventh International Brain Computer Interface Meeting$40,000
R13 · FY2018 · DC · contact PI
Designing brain machine interfaces to drive plasticity and enhance recovery after brain injury$437,690
R01 · FY2017 · NS · contact PI
A wearable myoelectric computer interface to reduce muscle co-activation in acute and chronic stroke$355,672
R01 · FY2017 · NS · contact PI
Designing brain machine interfaces to drive plasticity and enhance recovery after brain injury$444,908
R01 · FY2016 · NS · contact PI
A wearable myoelectric computer interface to reduce muscle co-activation in acute and chronic stroke$333,989
R01 · FY2016 · NS · contact PI
Designing brain machine interfaces to drive plasticity and enhance recovery after brain injury$530,199
R01 · FY2015 · NS · contact PI
Myoelectric Computer Interface to Reduce Muscle Co-Activation after Stroke$195,470
R21 · FY2015 · NS · contact PI
Myoelectric Computer Interface to Reduce Muscle Co-Activation after Stroke$225,822
R21 · FY2014 · NS · contact PI
Action Potentials vs. Field Potentials as Inputs to a Brain-Machine Interface$167,832
K08 · FY2011 · NS · contact PI
Action Potentials vs. Field Potentials as Inputs to a Brain-Machine Interface$167,832
K08 · FY2010 · NS · contact PI
Action Potentials vs. Field Potentials as Inputs to a Brain-Machine Interface$167,832
K08 · FY2009 · NS · contact PI
Action Potentials vs. Field Potentials as Inputs to a Brain-Machine Interface$167,832
K08 · FY2008 · NS · contact PI
Action Potentials vs. Field Potentials as Inputs to a Brain-Machine Interface$167,832
K08 · FY2007 · NS · contact PI