The psychosis human connectome project: An overview

Caroline Demro; Bryon A. Mueller; Jerillyn S. Kent; Philip C. Burton; Cheryl A. Olman; Michael Paul Schallmo; Kelvin O. Lim; Scott R. Sponheim

doi:10.1016/j.neuroimage.2021.118439

The psychosis human connectome project: An overview

Caroline Demro, Bryon A. Mueller, Jerillyn S. Kent, Philip C. Burton, Cheryl A. Olman, Michael Paul Schallmo, Kelvin O. Lim, Scott R. Sponheim

Research output: Contribution to journal › Article › peer-review

17 Scopus citations

Abstract

Investigations within the Human Connectome Project have expanded to include studies focusing on brain disorders. This paper describes one of the investigations focused on psychotic psychopathology: The psychosis Human Connectome Project (P-HCP). The data collected as part of this project were multimodal and derived from clinical assessments of psychopathology, cognitive assessments, instrument-based motor assessments, blood specimens, and magnetic resonance imaging (MRI) data. The dataset will be made publicly available through the NIMH Data Archive. In this report we provide specific information on how the sample of participants was obtained and characterized and describe the experimental tasks and procedures used to probe neural functions involved in psychotic disorders that may also mark genetic liability for psychotic psychopathology. Our goal in this paper is to outline the data acquisition process so that researchers intending to use these publicly available data can plan their analyses. MRI data described in this paper are limited to data acquired at 3 Tesla. A companion paper describes the study's 7 Tesla image acquisition protocol in detail, which is focused on visual perceptual functions in psychotic psychopathology.

Original language	English (US)
Article number	118439
Journal	NeuroImage
Volume	241
DOIs	https://doi.org/10.1016/j.neuroimage.2021.118439
State	Published - Nov 1 2021

Bibliographical note

Funding Information:
We acknowledge the efforts of our talented team of co-Investigators, postdocs, research assistants, volunteers, and collaborators. We especially want to thank Yeliz Toker for her support with citation of the references and recruitment of the sample. We also want to thank Haven Hafar, Brianna Wenande, Jessica Arend, Evan Myers, and Alina Yasis for their careful and thoughtful approach to clinical assessment as well as Rohit Kamath, Elijah Lahud, Li Shen Chong, and Isaac Hatch-Gillette for their work to collect high quality neuroimaging data. We are grateful to the families who participated in this study. This work was supported by the National Institutes of Health (U01MH108150 to S.R. Sponheim). The dataset will be made publicly available. Imaging data are prepared by the Connectome Coordination Facility (CCF; intradb.humanconnectome.org) for consistency with other human connectome projects (e.g. data quality assurance, formatting, pre-processing) prior to being made available to the scientific community in the NIMH Data Archive (NDA; nda.nih.gov) repository upon completion of data collection. Thus, all data, including raw and pre-processed neuroimaging data, will be made publicly available so that other researchers can generate and test novel hypotheses regarding neural anomalies in psychosis.

Funding Information:
This work was supported by the National Institutes of Health ( U01MH108150 to S.R. Sponheim).

Publisher Copyright:
© 2021

Keywords

Brain
Connectomics
MRI
Neuroimaging
Psychosis
Schizophrenia

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10.1016/j.neuroimage.2021.118439

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title = "The psychosis human connectome project: An overview",

abstract = "Investigations within the Human Connectome Project have expanded to include studies focusing on brain disorders. This paper describes one of the investigations focused on psychotic psychopathology: The psychosis Human Connectome Project (P-HCP). The data collected as part of this project were multimodal and derived from clinical assessments of psychopathology, cognitive assessments, instrument-based motor assessments, blood specimens, and magnetic resonance imaging (MRI) data. The dataset will be made publicly available through the NIMH Data Archive. In this report we provide specific information on how the sample of participants was obtained and characterized and describe the experimental tasks and procedures used to probe neural functions involved in psychotic disorders that may also mark genetic liability for psychotic psychopathology. Our goal in this paper is to outline the data acquisition process so that researchers intending to use these publicly available data can plan their analyses. MRI data described in this paper are limited to data acquired at 3 Tesla. A companion paper describes the study's 7 Tesla image acquisition protocol in detail, which is focused on visual perceptual functions in psychotic psychopathology.",

keywords = "Brain, Connectomics, MRI, Neuroimaging, Psychosis, Schizophrenia",

author = "Caroline Demro and Mueller, {Bryon A.} and Kent, {Jerillyn S.} and Burton, {Philip C.} and Olman, {Cheryl A.} and Schallmo, {Michael Paul} and Lim, {Kelvin O.} and Sponheim, {Scott R.}",

note = "Funding Information: We acknowledge the efforts of our talented team of co-Investigators, postdocs, research assistants, volunteers, and collaborators. We especially want to thank Yeliz Toker for her support with citation of the references and recruitment of the sample. We also want to thank Haven Hafar, Brianna Wenande, Jessica Arend, Evan Myers, and Alina Yasis for their careful and thoughtful approach to clinical assessment as well as Rohit Kamath, Elijah Lahud, Li Shen Chong, and Isaac Hatch-Gillette for their work to collect high quality neuroimaging data. We are grateful to the families who participated in this study. This work was supported by the National Institutes of Health (U01MH108150 to S.R. Sponheim). The dataset will be made publicly available. Imaging data are prepared by the Connectome Coordination Facility (CCF; intradb.humanconnectome.org) for consistency with other human connectome projects (e.g. data quality assurance, formatting, pre-processing) prior to being made available to the scientific community in the NIMH Data Archive (NDA; nda.nih.gov) repository upon completion of data collection. Thus, all data, including raw and pre-processed neuroimaging data, will be made publicly available so that other researchers can generate and test novel hypotheses regarding neural anomalies in psychosis. Funding Information: This work was supported by the National Institutes of Health ( U01MH108150 to S.R. Sponheim). Publisher Copyright: {\textcopyright} 2021",

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AU - Lim, Kelvin O.

AU - Sponheim, Scott R.

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N2 - Investigations within the Human Connectome Project have expanded to include studies focusing on brain disorders. This paper describes one of the investigations focused on psychotic psychopathology: The psychosis Human Connectome Project (P-HCP). The data collected as part of this project were multimodal and derived from clinical assessments of psychopathology, cognitive assessments, instrument-based motor assessments, blood specimens, and magnetic resonance imaging (MRI) data. The dataset will be made publicly available through the NIMH Data Archive. In this report we provide specific information on how the sample of participants was obtained and characterized and describe the experimental tasks and procedures used to probe neural functions involved in psychotic disorders that may also mark genetic liability for psychotic psychopathology. Our goal in this paper is to outline the data acquisition process so that researchers intending to use these publicly available data can plan their analyses. MRI data described in this paper are limited to data acquired at 3 Tesla. A companion paper describes the study's 7 Tesla image acquisition protocol in detail, which is focused on visual perceptual functions in psychotic psychopathology.

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The psychosis human connectome project: An overview

Abstract

Bibliographical note

Keywords

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