TY - JOUR
T1 - Source-based morphometry reveals structural brain pattern abnormalities in 22q11.2 deletion syndrome
AU - Ge, Ruiyang
AU - Ching, Christopher R.K.
AU - Bassett, Anne S.
AU - Kushan, Leila
AU - Antshel, Kevin M.
AU - van Amelsvoort, Therese
AU - Bakker, Geor
AU - Butcher, Nancy J.
AU - Campbell, Linda E.
AU - Chow, Eva W.C.
AU - Craig, Michael
AU - Crossley, Nicolas A.
AU - Cunningham, Adam
AU - Daly, Eileen
AU - Doherty, Joanne L.
AU - Durdle, Courtney A.
AU - Emanuel, Beverly S.
AU - Fiksinski, Ania
AU - Forsyth, Jennifer K.
AU - Fremont, Wanda
AU - Goodrich-Hunsaker, Naomi J.
AU - Gudbrandsen, Maria
AU - Gur, Raquel E.
AU - Jalbrzikowski, Maria
AU - Kates, Wendy R.
AU - Lin, Amy
AU - Linden, David E.J.
AU - McCabe, Kathryn L.
AU - McDonald-McGinn, Donna
AU - Moss, Hayley
AU - Murphy, Declan G.
AU - Murphy, Kieran C.
AU - Owen, Michael J.
AU - Villalon-Reina, Julio E.
AU - Repetto, Gabriela M.
AU - Roalf, David R.
AU - Ruparel, Kosha
AU - Schmitt, J. Eric
AU - Schuite-Koops, Sanne
AU - Angkustsiri, Kathleen
AU - Sun, Daqiang
AU - Vajdi, Ariana
AU - van den Bree, Marianne
AU - Vorstman, Jacob
AU - Thompson, Paul M.
AU - Vila-Rodriguez, Fidel
AU - Bearden, Carrie E.
N1 - Publisher Copyright:
© 2024 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.
PY - 2024/1
Y1 - 2024/1
N2 - 22q11.2 deletion syndrome (22q11DS) is the most frequently occurring microdeletion in humans. It is associated with a significant impact on brain structure, including prominent reductions in gray matter volume (GMV), and neuropsychiatric manifestations, including cognitive impairment and psychosis. It is unclear whether GMV alterations in 22q11DS occur according to distinct structural patterns. Then, 783 participants (470 with 22q11DS: 51% females, mean age [SD] 18.2 [9.2]; and 313 typically developing [TD] controls: 46% females, mean age 18.0 [8.6]) from 13 datasets were included in the present study. We segmented structural T1-weighted brain MRI scans and extracted GMV images, which were then utilized in a novel source-based morphometry (SBM) pipeline (SS-Detect) to generate structural brain patterns (SBPs) that capture co-varying GMV. We investigated the impact of the 22q11.2 deletion, deletion size, intelligence quotient, and psychosis on the SBPs. Seventeen GMV-SBPs were derived, which provided spatial patterns of GMV covariance associated with a quantitative metric (i.e., loading score) for analysis. Patterns of topographically widespread differences in GMV covariance, including the cerebellum, discriminated individuals with 22q11DS from healthy controls. The spatial extents of the SBPs that revealed disparities between individuals with 22q11DS and controls were consistent with the findings of the univariate voxel-based morphometry analysis. Larger deletion size was associated with significantly lower GMV in frontal and occipital SBPs; however, history of psychosis did not show a strong relationship with these covariance patterns. 22q11DS is associated with distinct structural abnormalities captured by topographical GMV covariance patterns that include the cerebellum. Findings indicate that structural anomalies in 22q11DS manifest in a nonrandom manner and in distinct covarying anatomical patterns, rather than a diffuse global process. These SBP abnormalities converge with previously reported cortical surface area abnormalities, suggesting disturbances of early neurodevelopment as the most likely underlying mechanism.
AB - 22q11.2 deletion syndrome (22q11DS) is the most frequently occurring microdeletion in humans. It is associated with a significant impact on brain structure, including prominent reductions in gray matter volume (GMV), and neuropsychiatric manifestations, including cognitive impairment and psychosis. It is unclear whether GMV alterations in 22q11DS occur according to distinct structural patterns. Then, 783 participants (470 with 22q11DS: 51% females, mean age [SD] 18.2 [9.2]; and 313 typically developing [TD] controls: 46% females, mean age 18.0 [8.6]) from 13 datasets were included in the present study. We segmented structural T1-weighted brain MRI scans and extracted GMV images, which were then utilized in a novel source-based morphometry (SBM) pipeline (SS-Detect) to generate structural brain patterns (SBPs) that capture co-varying GMV. We investigated the impact of the 22q11.2 deletion, deletion size, intelligence quotient, and psychosis on the SBPs. Seventeen GMV-SBPs were derived, which provided spatial patterns of GMV covariance associated with a quantitative metric (i.e., loading score) for analysis. Patterns of topographically widespread differences in GMV covariance, including the cerebellum, discriminated individuals with 22q11DS from healthy controls. The spatial extents of the SBPs that revealed disparities between individuals with 22q11DS and controls were consistent with the findings of the univariate voxel-based morphometry analysis. Larger deletion size was associated with significantly lower GMV in frontal and occipital SBPs; however, history of psychosis did not show a strong relationship with these covariance patterns. 22q11DS is associated with distinct structural abnormalities captured by topographical GMV covariance patterns that include the cerebellum. Findings indicate that structural anomalies in 22q11DS manifest in a nonrandom manner and in distinct covarying anatomical patterns, rather than a diffuse global process. These SBP abnormalities converge with previously reported cortical surface area abnormalities, suggesting disturbances of early neurodevelopment as the most likely underlying mechanism.
KW - 22q11 deletion syndrome
KW - gray matter volume
KW - magnetic resonnance imaging
KW - source-based morphometry
UR - http://www.scopus.com/inward/record.url?scp=85182249725&partnerID=8YFLogxK
U2 - 10.1002/hbm.26553
DO - 10.1002/hbm.26553
M3 - Article
C2 - 38224541
AN - SCOPUS:85182249725
SN - 1065-9471
VL - 45
JO - Human Brain Mapping
JF - Human Brain Mapping
IS - 1
M1 - e26553
ER -