@article{0f4b561b8d864a3699f5df7b4c83a2ec,
title = "Extended multimodal whole-brain anatomical covariance analysis: detection of disrupted correlation networks related to amyloid deposition",
abstract = "Background: An anatomical covariance analysis (ACA) enables to elucidate inter-regional connections on a group basis, but little is known about the connections among white matter structures or among gray and white matter structures. Effect of including multiple magnetic resonance imaging (MRI) modalities into ACA framework in detecting white-to-white or gray-to-white connections is yet to be investigated. New method: Proposed extended anatomical covariance analysis (eACA), analyzes correlations among gray and white matter structures (multi-structural) in various types of imaging modalities (T1-weighted images, T2 maps obtained from dual-echo sequences, and diffusion tensor images (DTI)). To demonstrate the capability to detect a disruption of the correlation network affected by pathology, we applied the eACA to two groups of cognitively-normal elderly individuals, one with (PiB+) and one without (PiB-) amyloid deposition in their brains. Results: The volume of each anatomical structure was symmetric and functionally related structures formed a cluster. The pseudo-T2 value was highly homogeneous across the entire cortex in the PiB- group, while a number of physiological correlations were altered in the PiB + group. The DTI demonstrated unique correlation network among structures within the same phylogenetic portions of the brain that were altered in the PiB + group. Comparison with Existing Method: The proposed eACA expands the concept of existing ACA to the connections among the white matter structures. The extension to other image modalities expands the way in which connectivity may be detected. Conclusion: The eACA has potential to evaluate alterations of the anatomical network related to pathological processes.",
keywords = "Amyloid, Anatomical covariance, Correlation network, Diffusion tensor imaging, Magnetic resonance imaging, Neuroscience, Positron emission tomography, T2 relaxation",
author = "Chenfei Ye and Marilyn Albert and Timothy Brown and M. Bilgel and Johnny Hsu and Ting Ma and B. Caffo and Miller, {Michael I.} and Susumu Mori and Kenichi Oishi",
note = "Funding Information: This work was made possible by the Dana Foundation Clinical Neuroscience Research Program, grant P41EB015909 from the National Institutes of Health , the Pilot Project Discovery Program from the Johns Hopkins Individualized Health Initiative (inHealth), the Fakhri Rad BriteStar award from the Department of Radiology Johns Hopkins University School of Medicine , a grant from the Basic Research Foundation of Shenzhen Science and Technology Program ( JCYJ20150403161923510 ), the Basic Research Foundation Key Project Track of Shenzhen Science and Technology Program ( JCYJ20170413110656460 ), and was supported, in part, by the Intramural Research Program of the National Institute on Aging . Funding Information: This work was made possible by the Dana Foundation Clinical Neuroscience Research Program, grant P41EB015909 from the National Institutes of Health, the Pilot Project Discovery Program from the Johns Hopkins Individualized Health Initiative (inHealth), the Fakhri Rad BriteStar award from the Department of Radiology Johns Hopkins University School of Medicine, a grant from the Basic Research Foundation of Shenzhen Science and Technology Program (JCYJ20150403161923510), the Basic Research Foundation Key Project Track of Shenzhen Science and Technology Program (JCYJ20170413110656460), and was supported, in part, by the Intramural Research Program of the National Institute on Aging.We would like to acknowledge the contributions of the Geriatric Psychiatry Branch (GPB) of the intramural program of the NIMH who initiated the study (PI: Dr. Trey Sunderland). We are particularly indebted to Dr. Karen Putnam, who has provided ongoing documentation of the GPB study procedures and the data files received from NIMH. We also thank Ms. Mary McAllister for help with manuscript editing. Data collection was supported by Biomarkers of Cognitive Decline Among Normal Individuals: the BIOCARD Study (BIOCARD) (U19-AG033655) funded by the National Institute on Aging (NIA). The BIOCARD Study consists of seven cores with the following members: (1) the Administrative Core (Marilyn Albert and Barbara Rodzon); (2) the Clinical Core (Marilyn Albert, Rebecca Gottesman, Ned Sacktor, Scott Turner, Leonie Farrington, Maura Grega, Daniel D'Agostino, Gay Rudow, Scott Rudow); (3) the Imaging Core (Michael Miller, Susumu Mori, Tilak Ratnanather, Timothy Brown, Anthony Kolasny, Kenichi Oishi, William Schneider, Laurent Younes); (4) the Biospecimen Core (Richard O'Brien, Abhay Moghekar, Jacqueline Darrow); (5) the Informatics Core (Roberta Scherer, David Shade, Ann Ervin, Jennifer Jones, Matt Toepfner, Hamadou Coulibaly, April Broadnax, Lisa Lassiter); the (6) Biostatistics Core (Mei-Cheng Wang, Daisy Zhu, Jiangxia Wang); and (7) the Neuropathology Core (Juan Troncoso, Olga Pletnikova, Gay Rudow, Karen Fisher).We are grateful to the members of the BIOCARD Scientific Advisory Board who provided continued oversight and guidance regarding the conduct of the study, including: Drs. John Csernansky, David Holtzman, David Knopman, Walter Kukull, and Kevin Grimm, as well as Drs. John Hsiao and Laurie Ryan, who provided oversight on behalf of the NIA, respectively. We would also like to thank the members of the BIOCARD Resource Allocation Committee who provided ongoing guidance regarding the use of the biospecimens collected as part of the study, including: Drs. Constantine Lyketsos, Carlos Pardo, Gerard Schellenberg, Leslie Shaw, Madhav Thambisetty, and John Trojanowski. Funding Information: We would like to acknowledge the contributions of the Geriatric Psychiatry Branch (GPB) of the intramural program of the NIMH who initiated the study (PI: Dr. Trey Sunderland). We are particularly indebted to Dr. Karen Putnam, who has provided ongoing documentation of the GPB study procedures and the data files received from NIMH. We also thank Ms. Mary McAllister for help with manuscript editing. Data collection was supported by Biomarkers of Cognitive Decline Among Normal Individuals: the BIOCARD Study (BIOCARD) (U19-AG033655) funded by the National Institute on Aging (NIA). The BIOCARD Study consists of seven cores with the following members: (1) the Administrative Core (Marilyn Albert and Barbara Rodzon); (2) the Clinical Core (Marilyn Albert, Rebecca Gottesman, Ned Sacktor, Scott Turner, Leonie Farrington, Maura Grega, Daniel D'Agostino, Gay Rudow, Scott Rudow); (3) the Imaging Core (Michael Miller, Susumu Mori, Tilak Ratnanather, Timothy Brown, Anthony Kolasny, Kenichi Oishi, William Schneider, Laurent Younes); (4) the Biospecimen Core (Richard O'Brien, Abhay Moghekar, Jacqueline Darrow); (5) the Informatics Core (Roberta Scherer, David Shade, Ann Ervin, Jennifer Jones, Matt Toepfner, Hamadou Coulibaly, April Broadnax, Lisa Lassiter); the (6) Biostatistics Core (Mei-Cheng Wang, Daisy Zhu, Jiangxia Wang); and (7) the Neuropathology Core (Juan Troncoso, Olga Pletnikova, Gay Rudow, Karen Fisher).We are grateful to the members of the BIOCARD Scientific Advisory Board who provided continued oversight and guidance regarding the conduct of the study, including: Drs. John Csernansky, David Holtzman, David Knopman, Walter Kukull, and Kevin Grimm, as well as Drs. John Hsiao and Laurie Ryan, who provided oversight on behalf of the NIA, respectively. We would also like to thank the members of the BIOCARD Resource Allocation Committee who provided ongoing guidance regarding the use of the biospecimens collected as part of the study, including: Drs. Constantine Lyketsos, Carlos Pardo, Gerard Schellenberg, Leslie Shaw, Madhav Thambisetty, and John Trojanowski. Publisher Copyright: {\textcopyright} 2019",
year = "2019",
month = jul,
doi = "10.1016/j.heliyon.2019.e02074",
language = "English (US)",
volume = "5",
journal = "Heliyon",
issn = "2405-8440",
publisher = "Elsevier BV",
number = "7",
}