TY - JOUR
T1 - Cognitive deficits and altered functional brain network organization in pediatric brain tumor patients
AU - Seitzman, Benjamin A.
AU - Anandarajah, Hari
AU - Dworetsky, Ally
AU - McMichael, Alana
AU - Coalson, Rebecca S.
AU - Agamah, A. Miriam
AU - Jiang, Catherine
AU - Gu, Hongjie
AU - Barbour, Dennis L.
AU - Schlaggar, Bradley L.
AU - Limbrick, Dave
AU - Rubin, Josh
AU - Shimony, Joshua
AU - Perkins, Stephanie
N1 - Funding Information:
Research reported in this publication was funded by the Children’s Discovery Institute (D.L.B., B.L.S., D.D.L., J.B.R., J.S.S., S.M.P.) and the Eunice Kennedy Shriver National Institute of Child Health & Human Development of the National Institutes of Health under Award Number U54 HD087011 to the Intellectual and Developmental Disabilities Research Center at Washington University.
Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2023
Y1 - 2023
N2 - Survivors of pediatric brain tumors experience significant cognitive deficits from their diagnosis and treatment. The exact mechanisms of cognitive injury are poorly understood, and validated predictors of long-term cognitive outcome are lacking. Resting state functional magnetic resonance imaging allows for the study of the spontaneous fluctuations in bulk neural activity, providing insight into brain organization and function. Here, we evaluated cognitive performance and functional network architecture in pediatric brain tumor patients. Forty-nine patients (7–18 years old) with a primary brain tumor diagnosis underwent resting state imaging during regularly scheduled clinical visits. All patients were tested with a battery of cognitive assessments. Extant data from 139 typically developing children were used as controls. We found that obtaining high-quality imaging data during routine clinical scanning was feasible. Functional network organization was significantly altered in patients, with the largest disruptions observed in patients who received propofol sedation. Awake patients demonstrated significant decreases in association network segregation compared to controls. Interestingly, there was no difference in the segregation of sensorimotor networks. With a median follow-up of 3.1 years, patients demonstrated cognitive deficits in multiple domains of executive function. Finally, there was a weak correlation between decreased default mode network segregation and poor picture vocabulary score. Future work with longer follow-up, longitudinal analyses, and a larger cohort will provide further insight into this potential predictor.
AB - Survivors of pediatric brain tumors experience significant cognitive deficits from their diagnosis and treatment. The exact mechanisms of cognitive injury are poorly understood, and validated predictors of long-term cognitive outcome are lacking. Resting state functional magnetic resonance imaging allows for the study of the spontaneous fluctuations in bulk neural activity, providing insight into brain organization and function. Here, we evaluated cognitive performance and functional network architecture in pediatric brain tumor patients. Forty-nine patients (7–18 years old) with a primary brain tumor diagnosis underwent resting state imaging during regularly scheduled clinical visits. All patients were tested with a battery of cognitive assessments. Extant data from 139 typically developing children were used as controls. We found that obtaining high-quality imaging data during routine clinical scanning was feasible. Functional network organization was significantly altered in patients, with the largest disruptions observed in patients who received propofol sedation. Awake patients demonstrated significant decreases in association network segregation compared to controls. Interestingly, there was no difference in the segregation of sensorimotor networks. With a median follow-up of 3.1 years, patients demonstrated cognitive deficits in multiple domains of executive function. Finally, there was a weak correlation between decreased default mode network segregation and poor picture vocabulary score. Future work with longer follow-up, longitudinal analyses, and a larger cohort will provide further insight into this potential predictor.
KW - Brain networks
KW - Cognition
KW - Pediatric brain tumor
UR - http://www.scopus.com/inward/record.url?scp=85170382376&partnerID=8YFLogxK
U2 - 10.1007/s11682-023-00798-y
DO - 10.1007/s11682-023-00798-y
M3 - Article
C2 - 37695507
AN - SCOPUS:85170382376
SN - 1931-7557
JO - Brain Imaging and Behavior
JF - Brain Imaging and Behavior
ER -