Project Grant R01MH134896

Award Date 7/8/24
Completion Date 5/31/29
Dollars Obligated $799K
Federal Grant Program
93.242
Assistance Type
Project Grant
Place of Performance
Philadelphia, PA 19104, USA
Similar Awards
This Project Grant award, totaling $443,931, was provided by the National Institute of Mental Health (NIMH) under the Mental Health Research Grants program (CFDA 93.242). The primary objective is to demonstrate accurate quantification of changes in brain morphology using a portable 0.05T magnetic resonance imaging (MRI) scanner, coupled with autonomous control and deep-learning-based super-resolution reconstruction. The research aims to deliver densely sampled temporal neuroimaging data that can...
This Project Grant award from the National Institute of Mental Health (NIMH), under the Mental Health Research Grants program (CFDA 93.242), aims to advance the understanding of the shared neural foundations and genetic pathways underlying psychiatric disorders. The $702,928 award, granted on January 21, 2025, will enable a 5-year research project at the University of Pennsylvania to: Integrate common and rare genetic variations to understand the co-architecture of psychiatric disorders and...
This federal Project Grant award from the National Institute of Mental Health (NIMH), under the Mental Health Research Grants program (CFDA 93.242), provides $3,085,041 to the University of Pittsburgh to conduct longitudinal research on adolescent brain maturation and its relationship to psychopathology. The key objectives are to: Examine neuropil growth/contraction using 3D whole-brain phosphorus magnetic resonance spectroscopy (31P MRS) Elucidate alterations in multiple modalities of brain...
This Project Grant award of $434,421 from the National Institute of Mental Health (NIMH) under the Mental Health Research Grants program (CFDA 93.242) will fund research to investigate the development of cerebellar-cortical functional connectivity in youth and its prediction of psychosis. The research aims to: 1) Chart normal development curves of cerebellar-cortical connectivity from childhood to early adulthood using data from the Lifespan Human Connectome Project in Development; 2)...
This federal Project Grant award from the National Institute of Mental Health (NIMH) under the Mental Health Research Grants program (CFDA 93.242) will support a research project titled "Mapping the Functional Organization of the Cortex Across Development: The Principal Hierarchy and Transdiagnostic Psychopathology Risk". The $107,948 award, with a period of performance from December 2025 to June 2027, will be conducted by the Trustees of the University of Pennsylvania, doing...
This Project Grant award from the National Institute of Mental Health (NIMH) under the Mental Health Research Grants program (CFDA 93.242) provides $183,096 to the University of Maryland, Baltimore to study the structural, functional, and neurobehavioral consequences of COVID-19 infection in adolescents. The key products and services to be delivered include: Longitudinal neuroimaging, cognitive, and psychiatric symptom data analysis to identify brain morphometric, microstructural, and functional...
This federal Project Grant award of $787,584, awarded by the National Institute of Mental Health (NIMH) under the Mental Health Research Grants program (CFDA 93.242), will fund a longitudinal study to characterize the neural and behavioral trajectories of executive function (EF) from infancy to emerging adulthood. The research aims to establish how these neural trajectories relate to functional brain organization during EF tasks in young adults, and determine how and when EF-related neural...
This Project Grant award from the National Institute of Mental Health (NIMH) under CFDA 93.242 Mental Health Research Grants provides $323,978 to the Child Mind Institute Inc. in New York to develop novel tools for integrating brain microstructure data with functional brain dynamics in human and non-human primates. The key products and services to be delivered under this 3-year award (5/1/2025 - 2/29/2028) include: Extending a brain reconstruction tool called "BrainBuilder" to create...
This $152,761 federal Project Grant award from the Department of Defense's Military Medical Research and Development program (CFDA 12.420) supports a research study at The Children's Hospital of Philadelphia (CHOP) investigating the use of quantitative sodium magnetic resonance imaging (MRI) and chemical exchange saturation transfer (CEST) to analyze low-grade gliomas in children with neurofibromatosis type 1. The 2-year study, which commenced on September 15, 2023, aims to advance diagnostic...
This Project Grant award from the National Institute of Mental Health (NIMH), under the Mental Health Research Grants program (CFDA 93.242), aims to develop new tools to improve the organization, sharing, and discovery of intracranial electroencephalography (iEEG) data for neuroscience research. The $876,576 award to The Trustees of the University of Pennsylvania, Clinical Practices of the University of Pennsylvania, will fund two key objectives: Creating iEEG-BIDS compliant solutions to...

This federal Project Grant award, titled "RADIOMICS FOR CLINICALLY-ACQUIRED BRAIN MRIS OF YOUTH WITH NEURODEVELOPMENTAL DISORDERS", is funded by the National Institute of Mental Health (NIMH) under CFDA Program 93.242 - Mental Health Research Grants.

The $798,671 award, with a period of performance from July 2024 to May 2029, supports research conducted by the Children's Hospital of Philadelphia (CHOP) to develop a clinical radiomics reference that allows precise quantification of individual clinically-acquired brain MRI scans in relation to expected developmental variation. The project aims to integrate the clinical MRI data with CHOP's large-scale biobanks to identify imaging phenotypes associated with genetic risk for neuropsychiatric and neurodevelopmental disorders, as well as psychiatric vulnerability in individual patients.

CHOP will collaborate with researchers from the University of Pennsylvania on various aspects of the project, including neuroinformatics, machine learning, statistical modeling, and MRI acquisition supervision.

Generated 7/1/25, 3:24 AM