Alejandro De La Vega

University Of Texas At Austin

$4,001,868

Attributed

$4,001,868

Total exposure

Grants

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. They are the sole PI on all grants (the two match).

Funding over time

peak $779.8K · FY2020–25

$1M$750K$500K$250K$0

'20

'21

'22

'23

'24

'25

Funding mix

By agency

NIH$4,001,868 · 2

By mechanism

R01$4,001,868 · 2

Top collaborators

No co-investigators on record.

Most similar at University Of Texas At Austin

Same institution · by research overlap

Others in their field

Other Emerging Leaders on “Neuroimaging”

Susan M Landau · University Of California Berkeley$47,252,026
Christopher Barnaby Nelson · University Of Melbourne$27,954,628
Evan Z Macosko · Broad Institute, Inc.$27,107,011
Maria C Carrillo · Indiana University Indianapolis$19,445,642
Dana L Tudorascu · University Of Pittsburgh At Pittsburgh$15,027,548
Jeremy James Martinson · University Of Pittsburgh At Pittsburgh$14,031,836

Research focus

NeuroimagingReproducibilityBrainResourcesResearch PersonnelFunctional Magnetic Resonance ImagingCommunitiesInfrastructureClinical ResearchEnsureMeta-AnalysisMapsInsightDatabasesInternetGrowthBasic ScienceImageLiteratureData CurationOpen Source ToolPublishingOnline SystemsComplex

Grant awards (6)

Large-scale meta-analysis of functional MRI data$713,787

R01 · FY2025 · MH · contact PI

Large-scale meta-analysis of functional MRI data$779,816

R01 · FY2024 · MH · contact PI

Large-scale image-based meta-analysis of functional MRI data$643,313

R01 · FY2023 · MH · contact PI

Large-scale image-based meta-analysis of functional MRI data$642,403

R01 · FY2022 · MH · contact PI

Large-scale image-based meta-analysis of functional MRI data$632,301

R01 · FY2021 · MH · contact PI

NeuroScout: A cloud-based platform for flexible re-analysis of naturalistic fMRI datasets$590,248

R01 · FY2020 · MH · contact PI