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11 results on '"conan, greg"'

1. Amygdala connectivity is associated with withdrawn/depressed behavior in a large sample of children from the Adolescent Brain Cognitive Development (ABCD) Study®

Author

Thomas, Elina, Juliano, Anthony, Owens, Max, Cupertino, Renata B., Mackey, Scott, Hermosillo, Robert, Miranda-Dominguez, Oscar, Conan, Greg, Ahmed, Moosa, Fair, Damien A., Graham, Alice M., Goode, Nicholas J., Kandjoze, Uapingena P., Potter, Alexi, Garavan, Hugh, and Albaugh, Matthew D.

Published
2024
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2. Towards Personalized Precision Functional Mapping in Infancy

Author

Moore, Lucille A, primary, Hermosillo, Robert JM, additional, Feczko, Eric, additional, Moser, Julia, additional, Koirala, Sanju, additional, Allen, Madeleine C, additional, Buss, Claudia, additional, Conan, Greg, additional, Juliano, Anthony C, additional, Marr, Mollie, additional, Miranda-Dominguez, Oscar, additional, Mooney, Michael, additional, Myers, Michael, additional, Rasmussen, Jerod, additional, Rogers, Cynthia E., additional, Smyser, Christopher D., additional, Snider, Kathy, additional, Sylvester, Chad, additional, Thomas, Elina, additional, Fair, Damien A, additional, and Graham, Alice M, additional

Published
2024
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3. Towards Personalized Precision Functional Mapping in Infancy

Author

Moore, Lucille A., primary, Hermosillo, Robert JM, additional, Feczko, Eric, additional, Moser, Julia, additional, Koirala, Sanju, additional, Allen, Madeleine C., additional, Buss, Claudia, additional, Conan, Greg, additional, Juliano, Anthony C., additional, Marr, Mollie, additional, Miranda-Dominguez, Oscar, additional, Mooney, Michael, additional, Myers, Michael, additional, Rasmussen, Jerod, additional, Rogers, Cynthia, additional, Smyser, Chris, additional, Snider, Kathy, additional, Sylvester, Chad, additional, Thomas, Elina, additional, Fair, Damien A., additional, and Graham, Alice M., additional

Published
2023
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4. CABINET

Author

Houghton, Audrey, conan, greg, Hendrickson, Timothy, Alexopoulos, Dimitrios, Goncalves, Mathias, Koirala, Sanju, Latham, Aiden, Lee, Erik, Lundquist, Jacob, Madison, Thomas, Markiewicz, Christopher, Moore, Lucille, Moser, Julia, Reiners, Paul, Rueter, Amanda, Fair, Damien, and Feczko, Eric

Abstract

This software provides the utility of creating a nnU-Net anatomical MRI segmentation and mask with a infant brain trained model for the purposes of circumventing JLF within Nibabies. Note: Audrey Houghton and Greg Conan are co-first authors on this project.

Published
2022
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5. BIBSnet

Author

Hendrickson, Timothy, Reiners, Paul, Alexopoulos, Dimitrios, conan, greg, Goncalves, Mathias, Houghton, Audrey, Koirala, Sanju, Latham, Aiden, Lee, Erik, Lundquist, Jacob, Madison, Thomas, Markiewicz, Christopher, Moore, Lucille, Moser, Julia, Rueter, Amanda, Fair, Damien, and Feczko, Eric

Abstract

Quickly and accurately segments an optimally-aligned T1 and T2 pair with a deep neural network trained via nnU-Net and SynthSeg with a large 0 to 8 month old infant MRI brain dataset.

Published
2022
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7. ABCD-BIDS task fMRI pipeline

Author

Juliano, Anthony, conan, greg, Moore, Lucille, Feczko, Eric, Fair, Damien, and Garavan, Hugh

Subjects
ComputingMilieux_COMPUTERSANDSOCIETY, TheoryofComputation_GENERAL, Hardware_ARITHMETICANDLOGICSTRUCTURES, Hardware_REGISTER-TRANSFER-LEVELIMPLEMENTATION
Abstract

The ABCD-BIDS task fmri pipeline preprocesses task fMRI data from the ABCD-BIDS pipeline.

Published
2022
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8. ABCD Reproducible Matched Samples (ARMS) software

Author

Cordova, Michaela, Doyle, Olivia, conan, greg, Feczko, Eric, Earl, Eric, perrone, anders, and Fair, Damien

Abstract

ABCD reproducible matched samples comprise 3 groups of ABCD participants that are demographiclly matched. A subsetting tool can be used to automate the production of reproducible matched subsets from the samples.

Published
2022
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9. P112. Polygenic Risk for Depression Moderates an Association Between Amygdala Connectivity and Internalizing Symptomatology in Childhood

Author

Thomas, Elina, primary, Albaugh, Matthew, additional, Juliano, Anthony, additional, Owens, Max M., additional, Curpertino, Renata, additional, Hermosillo, Robert, additional, Miranda-Dominguez, Oscar, additional, Conan, Greg, additional, Ahmed, Moosa, additional, Fair, Damien A., additional, Graham, Alice, additional, Potter, Alexandra, additional, and Garavan, Hugh, additional

Published
2022
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10. Towards Reproducible Brain-Wide Association Studies

Author

Marek, Scott, primary, Tervo-Clemmens, Brenden, additional, Calabro, Finnegan J., additional, Montez, David F., additional, Kay, Benjamin P., additional, Hatoum, Alexander S., additional, Donohue, Meghan Rose, additional, Foran, William, additional, Miller, Ryland L., additional, Feczko, Eric, additional, Miranda-Dominguez, Oscar, additional, Graham, Alice M., additional, Earl, Eric A., additional, Perrone, Anders J., additional, Cordova, Michaela, additional, Doyle, Olivia, additional, Moore, Lucille A., additional, Conan, Greg, additional, Uriarte, Johnny, additional, Snider, Kathy, additional, Tam, Angela, additional, Chen, Jianzhong, additional, Newbold, Dillan J., additional, Zheng, Annie, additional, Seider, Nicole A., additional, Van, Andrew N., additional, Laumann, Timothy O., additional, Thompson, Wesley K., additional, Greene, Deanna J., additional, Petersen, Steven E., additional, Nichols, Thomas E., additional, Yeo, B.T. Thomas, additional, Barch, Deanna M., additional, Garavan, Hugh, additional, Luna, Beatriz, additional, Fair, Damien A., additional, and Dosenbach, Nico U.F., additional

Published
2020
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11. Baby Open Brains: An Open-Source Repository of Infant Brain Segmentations.

Author

Feczko E, Stoyell SM, Moore LA, Alexopoulos D, Bagonis M, Barrett K, Bower B, Cavender A, Chamberlain TA, Conan G, Day TK, Goradia D, Graham A, Heisler-Roman L, Hendrickson TJ, Houghton A, Kardan O, Kiffmeyer EA, Lee EG, Lundquist JT, Lucena C, Martin T, Mummaneni A, Myricks M, Narnur P, Perrone AJ, Reiners P, Rueter AR, Saw H, Styner M, Sung S, Tiklasky B, Wisnowski JL, Yacoub E, Zimmermann B, Smyser CD, Rosenberg MD, Fair DA, and Elison JT

Abstract

Reproducibility of neuroimaging research on infant brain development remains limited due to highly variable protocols and processing approaches. Progress towards reproducible pipelines is limited by a lack of benchmarks such as gold standard brain segmentations. Addressing this core limitation, we constructed the Baby Open Brains (BOBs) Repository, an open source resource comprising manually curated and expert-reviewed infant brain segmentations. Markers and expert reviewers manually segmented anatomical MRI data from 71 infant imaging visits across 51 participants, using both T1w and T2w images per visit. Anatomical images showed dramatic differences in myelination and intensities across the 1 to 9 month age range, emphasizing the need for densely sampled gold standard manual segmentations in these ages. The BOBs repository is publicly available through the Masonic Institute for the Developing Brain (MIDB) Open Data Initiative, which links S3 storage, Datalad for version control, and BrainBox for visualization. This repository represents an open-source paradigm, where new additions and changes can be added, enabling a community-driven resource that will improve over time and extend into new ages and protocols. These manual segmentations and the ongoing repository provide a benchmark for evaluating and improving pipelines dependent upon segmentations in the youngest populations. As such, this repository provides a vitally needed foundation for early-life large-scale studies such as HBCD.

Published
2024
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