PROJECTS

 

TMP Initiated Projects

Venn_diagram_ABCD_RGB.png
Understanding Development: ABCD database Mining and Analysis The ABCD Data Repository houses all data generated by the Adolescent Brain Cognitive Development (ABCD) Study. The ABCD Study is a landmark, longitudinal study of brain development and child health. Investigators at 21 sites around the country will measure brain maturation in the context of social, emotional and cognitive development, as well as a variety of health and environmental outcomes. For more information about the ABCD Study, please visit the ABCD Study website. The ABCD Study is supported by NIH partners (the National Institute on Drug Abuse, the National Institute on Alcohol Abuse and Alcoholism, the National Cancer Institute, the Eunice Kennedy Shriver National Institute of Child Health and Human Development, the National Institute of Mental Health, the National Institute on Minority Health and Health Disparities, the National Institute of Neurological Disorders and Stroke, the National Heart, Lung, and Blood Institute, the NIH Office of Behavioral and Social Sciences Research, and the NIH Office of Research on Women’s Health), as well as the Centers for Disease Control and Prevention – Division of Adolescent and School Health. This repository will store data generated by ABCD investigators, serve as a collaborative platform for harmonizing these data, and share those data with qualified researchers.
2852750938_44ca288adb_k.jpg
OPTICS Revisited: Data Mining and Analysis
The OPTICS (Open Translational Science in Schizophrenia) Project is a pilot project designed to provide a forum for true translational science based on Janssen clinical trial (CT) data publicly available to qualified investigators through the Yale Open Data Access Project (YODA) and related publicly-funded observational studies and trials in schizophrenia made available through the NIH dbGaP and the NIMH Schizophrenia Studies.
The OPTICS Scientific Advisory Board, comprised of researchers from the NIMH, Harvard, Yale, Rutgers, and Janssen, will provide an environment that is designed to foster collaboration among investigators interested in working with the newly available CT data and building translational science using publicly available data from related studies of the disease (dbGaP, NIMH Schizophrenia Studies). [0]: https://sites.google.com/site/opticsschizophrenia/
2252583334_5e76e0d3cd_o.jpg
The Autistic Brain: Data Mining and Analysis of the ABIDE Database Autism spectrum disorder (ASD) is characterized by qualitative impairment in social reciprocity, and by repetitive, restricted, and stereotyped behaviors/interests. Previously considered rare, ASD is now recognized to occur in more than 1% of children. Despite continuing research advances, their pace and clinical impact have not kept up with the urgency to identify ways of determining the diagnosis at earlier ages, selecting optimal treatments, and predicting outcomes. For the most part this is due to the complexity and heterogeneity of ASD. To face these challenges, large-scale samples are essential, but single laboratories cannot obtain sufficiently large datasets to reveal the brain mechanisms underlying ASD. In response, the Autism Brain Imaging Data Exchange (ABIDE) initiative has aggregated functional and structural brain imaging data collected from laboratories around the world to accelerate our understanding of the neural bases of autism. With the ultimate goal of facilitating discovery science and comparisons across samples, the ABIDE initiative now includes two large-scale collections: ABIDE I and ABIDE II. Each collection was created through the aggregation of datasets independently collected across more than 24 international brain imaging laboratories and are being made available to investigators throughout the world, consistent with open science principles, such as those at the core of the International Neuroimaging Data-sharing Initiative. For details about these initiatives visit the collection specific pages: [ABIDE I][0] and [ABIDE II][1] [0]: http://fcon_1000.projects.nitrc.org/indi/abide/abide_I.html [1]: http://fcon_1000.projects.nitrc.org/indi/abide/abide_II.html
 
 

TMP Accelerated Projects

Neuroimaging in Neuropsychiatry
Using large-scale "big data" neuroimaging datasets to investigate neural correlates of drug addiction, psychiatric illness, and others.

Researchers are from: Harvard University- Faculty of Arts and Sciences, Harvard Medical School, & McLean Hospital.
Cognition and Autism
Investigate the cognitive sequelae of neural circuit dysfunction in autism spectrum disorders, and other related disorders.

Researchers are from: Harvard University- John A. Paulson School of Engineering & Applied Sciences, Harvard Medical School, & Brigham and Women's Hospital.
Substance Use Disorder and the Brain
Using magnetic resonance imaging to identify brain circuits that underly behavioral responses to substance use.

Researchers are from: Harvard University- Faculty of Arts and Sciences, Harvard Medical School, & McLean Hospital.
Ultra High-Resolution Diffusion MRI in Neuropsychiatry
Using ultra high-resolution diffusion MRI data to classify cytoarchitectonically different brain regions.

Researchers are from: Harvard University- John A. Paulson School of Engineering & Applied Sciences, Harvard Medical School, & Brigham and Women's Hospital.
Influence of genetic variants, medical disorders, and nutritional factors on early neurodevelopmental trajectories
We are interested in understanding how these factors influence brain development and subsequent neuropsychiatric outcomes. Projects include assessing the impact of maternal diet on infant development, understanding the role of genetic risk in neurodevelopment among patients with congenital heart disease, and identifying exposures in the neonatal intensive care unit that impact brain development and outcomes. We would jointly design a project based on student interests and goals. Projects can be remote or in person, short term or long term.

Researchers are from: Harvard University- Faculty of Arts and Sciences, Harvard Medical School, & Boston Children's Hospital.
Cognitive sequelae of neural circuit dysfunction in autism spectrum disorders
Experiments combine chronic 2-photon imaging & optogenetics in awake behaving mice, with classical electrophysiology and high throughput in situ transcriptomics to dissect the mechanism of circuit dysfunction.

Researchers are from: Harvard University- Faculty of Arts and Sciences, Harvard Medical School, & Brigham and Women's Hospital.
Epileptogenic Zone in Neuropsychiatry
Develop novel computer-aided methods for the analysis of EEG and MEG that can help identify the epileptogenic zone in neuropsychiatric disorders.

Researchers are from: Harvard University- Faculty of Arts and Sciences, Harvard University- John A. Paulson School of Engineering & Applied Sciences, Harvard Medical School, & Boston's Children.
Emotional Memory in Depression
An investigation using behavior and electrophysiology measures of emotional memory in healthy and depressed adults.

Researchers are from: Harvard University- Faculty of Arts and Sciences, Harvard Medical School, & McLean Hospital.
Psychosis and the Brain
Using magnetic resonance imaging to delineate structural brain changes in individuals with early onset of psychosis.

Researchers are from: Harvard University- Faculty of Arts and Sciences, Harvard Medical School, & McLean Hospital.
Reward processing, decision-making, and social functioning in neuropsychiatry
Neuroimaging studies of reward processing, decision-making, and social functioning in PTSD, trauma exposure, and childhood maltreatment.

Researchers are from: Harvard University- Faculty of Arts and Sciences, Harvard Medical School, & McLean Hospital.
Brain and AI in Neurodevelopment and Neuropsychiatry
We use artificial intelligence to better understand neurodevelopmental and neuropsychiatric disorders.

Researchers are from: Harvard University- Faculty of Arts and Sciences, Harvard Medical School, & Boston Children's Hospital.