← Leaderboards
Nico Dosenbach
Washington University
$7,509,894
Attributed
$17,991,271
Total exposure
7
Grants
2
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 $6.2M · FY2015–25$10M$7.5M$5M$2.5M$0
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$17,991,271 · 7
By mechanism
R44$10,545,275 · 3
R01$6,394,553 · 2
K23$886,055 · 1
P01$165,388 · 1
Top collaborators
- Damien A Fair13 shared
- Todd William Deckard8 shared
- Ken Bruener2 shared
- Evan M. Gordon1 shared
- Scott Allen Norris1 shared
Most similar at Washington University
Same institution · by research overlap
- Amy J. Bastian$18,565,520
- Sheng-Kwei Song$14,973,079
- Philip V Bayly$12,147,197
- David Delmar Limbrick$7,508,280
- Wilson Z Ray$2,002,288
Others in their field
Top investigators on “Brain”
- Douglas S. Hawkins · Children'S Hosp Of Philadelphia$157,315,120
- Michael W Weiner · Northern California Institute Res &Educ$149,959,854
- David A Bennett · Rush University Medical Center$148,375,056
- David Heimbrook · Leidos Biomedical Research, Inc.$145,442,397
- Walter John Curran · Thomas Jefferson University$114,442,832
- Hongkui Zeng · Allen Institute$113,960,965
Research focus
BrainFunctional Magnetic Resonance ImagingMagnetic Resonance ImagingChildMotionMovementAdultChildhoodNeuroimagingScanningParticipantDiagnosticCostMonitorDesignPhysiciansInvestigationInstitutionSamplingTranslatingMapsFunctional DisorderBaseInterest
Grant awards (20)
Precision mapping of Parkinson's Disease pathophysiology in the Somato-Cognitive Action Networkâs DBS targets$613,897
R01 · FY2025 · NS
Identification of outcome-based sub-populations using deep phenotyping and precision functional mapping across ADHD and ASD$1,150,208
R01 · FY2024 · MH
Identification of outcome-based sub-populations using deep phenotyping and precision functional mapping across ADHD and ASD$1,145,559
R01 · FY2023 · MH
Functional Connectivity, Brain Development, and Outcomes in Chiari Type I Malformation$165,388
P01 · FY2023 · NS · contact PI
Identification of outcome-based sub-populations using deep phenotyping and precision functional mapping across ADHD and ASD$1,150,757
R01 · FY2022 · MH
Motion-robust brain MRI for infants$1,822,239
R44 · FY2021 · MH
Visual biofeedback to reduce head motion during MRI scans$1,519,212
R44 · FY2021 · MH
Solving the MRI motion problem with Framewise Integrated Real-Time MRI Monitoring (FIRMM) software$1,408,389
R44 · FY2021 · MH
Identification of outcome-based sub-populations using deep phenotyping and precision functional mapping across ADHD and ASD$1,157,073
R01 · FY2021 · MH
Visual biofeedback to reduce head motion during MRI scans$300,000
R44 · FY2021 · MH
Motion-robust brain MRI for infants$1,790,169
R44 · FY2020 · MH
Visual biofeedback to reduce head motion during MRI scans$1,549,171
R44 · FY2020 · MH
Solving the MRI motion problem with Framewise Integrated Real-Time MRI Monitoring (FIRMM) software$1,190,011
R44 · FY2020 · MH
Identification of outcome-based sub-populations using deep phenotyping and precision functional mapping across ADHD and ASD$1,177,059
R01 · FY2020 · MH
Visual biofeedback to reduce head motion during MRI scans$966,084
R44 · FY2019 · MH
PEDIATRIC BRAIN INJURY RECOVERY VIA USE-DRIVEN FUNCTIONAL NETWORK REORGANIZATION$176,347
K23 · FY2019 · NS · contact PI
PEDIATRIC BRAIN INJURY RECOVERY VIA USE-DRIVEN FUNCTIONAL NETWORK REORGANIZATION$177,427
K23 · FY2018 · NS · contact PI
PEDIATRIC BRAIN INJURY RECOVERY VIA USE-DRIVEN FUNCTIONAL NETWORK REORGANIZATION$177,427
K23 · FY2017 · NS · contact PI
PEDIATRIC BRAIN INJURY RECOVERY VIA USE-DRIVEN FUNCTIONAL NETWORK REORGANIZATION$177,427
K23 · FY2016 · NS · contact PI
PEDIATRIC BRAIN INJURY RECOVERY VIA USE-DRIVEN FUNCTIONAL NETWORK REORGANIZATION$177,427
K23 · FY2015 · NS · contact PI