← Leaderboards
Heath Pardoe
Columbia University Health Sciences
$1,480,794
Attributed
$4,063,975
Total exposure
3
Grants
1
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 $682.7K · FY2017–25$1M$750K$500K$250K$0
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$4,063,975 · 3
By mechanism
R01$3,130,466 · 1
R21$933,509 · 2
Top collaborators
- Carrie R Mcdonald5 shared
- Sanjay Sisodiya5 shared
- Paul M Thompson5 shared
- Melodie Rose Winawer2 shared
Most similar at Columbia University Health Sciences
Same institution · by research overlap
- Melodie Rose Winawer$5,549,216
- Catherine A Schevon$9,789,187
- Marla J Hamberger$8,222,889
- Ruth Ottman$25,863,879
- Jan Claassen$3,984,991
Others in their field
Other Emerging Leaders on “Brain Abnormalities”
- Susan M Landau · University Of California Berkeley$47,252,026
- Fabio Ferrarelli · University Of Pittsburgh At Pittsburgh$7,585,221
- Seyed Ahmad Sajjadi · University Of California-Irvine$7,480,753
- Daniel Sing-Kwong Tsze · Columbia University Health Sciences$6,678,855
- Fiza Singh · University Of California, San Diego$6,095,339
- Mayur B Patel · Vanderbilt University Medical Center$5,683,810
Research focus
Brain AbnormalitiesOperative Surgical ProceduresCohortPartial EpilepsiesSeizuresImagePharmaceutical PreparationsMagnetic Resonance ImagingEpilepsyBrainFreedomLesionPropertySurgery OutcomeCharacteristicsDiffusion Magnetic Resonance ImagingUnited States National Institutes Of HealthFailureDatabasesData SetNeuroimagingNational Institute Of Neurological Disorders And StrokePatternIntractable Epilepsy
Grant awards (8)
Identifying brain networks to predict treatment resistance and post-surgical outcome: An ENIGMA-Epilepsy initiative$625,802
R01 · FY2025 · NS
Identifying brain networks to predict treatment resistance and post-surgical outcome: An ENIGMA-Epilepsy initiative$586,072
R01 · FY2024 · NS
Identifying brain networks to predict treatment resistance and post-surgical outcome: An ENIGMA-Epilepsy initiative$617,451
R01 · FY2023 · NS
Identifying brain networks to predict treatment resistance and post-surgical outcome: An ENIGMA-Epilepsy initiative$618,435
R01 · FY2022 · NS
Identifying brain networks to predict treatment resistance and post-surgical outcome: An ENIGMA-Epilepsy initiative$682,706
R01 · FY2021 · NS
Post-surgical resection mapping in epilepsy using convolutional neural networks$462,846
R21 · FY2020 · NS · contact PI
Making the Invisible Visible: Advanced MRI in Non Lesional Focal Epilepsy$207,863
R21 · FY2018 · NS
Making the Invisible Visible: Advanced MRI in Non Lesional Focal Epilepsy$262,800
R21 · FY2017 · NS