The interplay between brain and behavior during development: A multisite effort to generate and share simulated datasets

One of the challenges in the field of neuroimaging is that we often lack knowledge about the underlying truth and whether our methods can detect developmental changes. To address this gap, five research groups around the globe created simulated datasets embedded with their assumptions of the interpl...

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Published inScientific data Vol. 12; no. 1; pp. 473 - 8
Main Authors Sadeghi, Neda, van der Velpen, Isabelle F., Baker, Bradley T., Batta, Ishaan, Cahill, Kyle J., Genon, Sarah, McCormick, Ethan, Michel, Léa C., Moraczewski, Dustin, Seraji, Masoud, Shaw, Philip, Silva, Rogers F., Soleimani, Najme, Sprooten, Emma, Sørensen, Øystein, Thomas, Adam G., Thurm, Audrey, Zhou, Zi-Xuan, Calhoun, Vince D., Kievit, Rogier, Plachti, Anna, Zuo, Xi-Nian, White, Tonya
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 21.03.2025
Nature Publishing Group
Nature Portfolio
Subjects
631/114/2415
631/378/116
Adolescent
Age
Behavior
Brain - growth & development
Brain research
Child
Cognition
Cognition & reasoning
Data Descriptor
Datasets
Humanities and Social Sciences
Humans
Magnetic resonance imaging
Medical imaging
Mental health
multidisciplinary
Neuroimaging
Neurosciences
Research methodology
Science
Science (multidisciplinary)
Young Adult
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Abstract One of the challenges in the field of neuroimaging is that we often lack knowledge about the underlying truth and whether our methods can detect developmental changes. To address this gap, five research groups around the globe created simulated datasets embedded with their assumptions of the interplay between brain development, cognition, and behavior. Each group independently created the datasets, unaware of the approaches and assumptions made by the other groups. Each group simulated three datasets with the same variables, each with 10,000 participants over 7 longitudinal waves, ranging from 7 to 20 years-of-age. The independently created datasets include demographic data, brain derived variables along with behavior and cognition variables. These datasets and code that were used to generate the datasets can be downloaded and used by the research community to apply different longitudinal models to determine the underlying patterns and assumptions where the ground truth is known.
AbstractList One of the challenges in the field of neuroimaging is that we often lack knowledge about the underlying truth and whether our methods can detect developmental changes. To address this gap, five research groups around the globe created simulated datasets embedded with their assumptions of the interplay between brain development, cognition, and behavior. Each group independently created the datasets, unaware of the approaches and assumptions made by the other groups. Each group simulated three datasets with the same variables, each with 10,000 participants over 7 longitudinal waves, ranging from 7 to 20 years-of-age. The independently created datasets include demographic data, brain derived variables along with behavior and cognition variables. These datasets and code that were used to generate the datasets can be downloaded and used by the research community to apply different longitudinal models to determine the underlying patterns and assumptions where the ground truth is known.
One of the challenges in the field of neuroimaging is that we often lack knowledge about the underlying truth and whether our methods can detect developmental changes. To address this gap, five research groups around the globe created simulated datasets embedded with their assumptions of the interplay between brain development, cognition, and behavior. Each group independently created the datasets, unaware of the approaches and assumptions made by the other groups. Each group simulated three datasets with the same variables, each with 10,000 participants over 7 longitudinal waves, ranging from 7 to 20 years-of-age. The independently created datasets include demographic data, brain derived variables along with behavior and cognition variables. These datasets and code that were used to generate the datasets can be downloaded and used by the research community to apply different longitudinal models to determine the underlying patterns and assumptions where the ground truth is known.One of the challenges in the field of neuroimaging is that we often lack knowledge about the underlying truth and whether our methods can detect developmental changes. To address this gap, five research groups around the globe created simulated datasets embedded with their assumptions of the interplay between brain development, cognition, and behavior. Each group independently created the datasets, unaware of the approaches and assumptions made by the other groups. Each group simulated three datasets with the same variables, each with 10,000 participants over 7 longitudinal waves, ranging from 7 to 20 years-of-age. The independently created datasets include demographic data, brain derived variables along with behavior and cognition variables. These datasets and code that were used to generate the datasets can be downloaded and used by the research community to apply different longitudinal models to determine the underlying patterns and assumptions where the ground truth is known.
Abstract One of the challenges in the field of neuroimaging is that we often lack knowledge about the underlying truth and whether our methods can detect developmental changes. To address this gap, five research groups around the globe created simulated datasets embedded with their assumptions of the interplay between brain development, cognition, and behavior. Each group independently created the datasets, unaware of the approaches and assumptions made by the other groups. Each group simulated three datasets with the same variables, each with 10,000 participants over 7 longitudinal waves, ranging from 7 to 20 years-of-age. The independently created datasets include demographic data, brain derived variables along with behavior and cognition variables. These datasets and code that were used to generate the datasets can be downloaded and used by the research community to apply different longitudinal models to determine the underlying patterns and assumptions where the ground truth is known.
ArticleNumber 473
Author Genon, Sarah
Sprooten, Emma
Baker, Bradley T.
Sørensen, Øystein
Moraczewski, Dustin
Silva, Rogers F.
Sadeghi, Neda
Thurm, Audrey
McCormick, Ethan
Calhoun, Vince D.
Shaw, Philip
Cahill, Kyle J.
Michel, Léa C.
Soleimani, Najme
Kievit, Rogier
Zuo, Xi-Nian
Seraji, Masoud
van der Velpen, Isabelle F.
Batta, Ishaan
Thomas, Adam G.
Plachti, Anna
Zhou, Zi-Xuan
White, Tonya
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  surname: Zhou
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  surname: White
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  email: tonya.white@nih.gov
  organization: Section on Social and Cognitive Developmental Neuroscience, National Institute of Mental Health, National Institutes of Health
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Snippet One of the challenges in the field of neuroimaging is that we often lack knowledge about the underlying truth and whether our methods can detect developmental...
Abstract One of the challenges in the field of neuroimaging is that we often lack knowledge about the underlying truth and whether our methods can detect...
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Brain research
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Medical imaging
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Title The interplay between brain and behavior during development: A multisite effort to generate and share simulated datasets
URI https://link.springer.com/article/10.1038/s41597-025-04740-3
https://www.ncbi.nlm.nih.gov/pubmed/40118942
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Volume 12
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