神经认知
脆性X综合征
默认模式网络
心理学
认知
静息状态功能磁共振成像
功能磁共振成像
神经科学
听力学
医学
精神科
作者
Rihui Li,Amy A. Lightbody,Cindy H. Lee,Kristi L. Bartholomay,Matthew Marzelli,Allan L. Reiss
标识
DOI:10.1016/j.biopsych.2023.03.017
摘要
Background Fragile X syndrome (FXS) is an X chromosome–linked genetic disorder characterized by increased risk for behavioral, social, and neurocognitive deficits. Because males express a more severe phenotype than females, research has focused largely on identifying neural abnormalities in all-male or both-sex populations with FXS. Therefore, very little is known about the neural alterations that contribute to cognitive behavioral symptoms in females with FXS. This cross-sectional study aimed to elucidate the large-scale resting-state brain networks associated with the multidomain cognitive behavioral phenotype in girls with FXS. Methods We recruited 38 girls with full-mutation FXS (11.58 ± 3.15 years) and 32 girls without FXS (11.66 ± 2.27 years). Both groups were matched on age, verbal IQ, and multidomain cognitive behavioral symptoms. Resting-state functional magnetic resonance imaging data were collected. Results Compared with the control group, girls with FXS showed significantly greater resting-state functional connectivity of the default mode network, lower nodal strength at the right middle temporal gyrus, stronger nodal strength at the left caudate, and higher global efficiency of the default mode network. These aberrant brain network characteristics map directly onto the cognitive behavioral symptoms commonly observed in girls with FXS. An exploratory analysis suggested that brain network patterns at a prior time point (time 1) were predictive of the longitudinal development of participants’ multidomain cognitive behavioral symptoms. Conclusions These findings represent the first examination of large-scale brain network alterations in a large sample of girls with FXS, expanding our knowledge of potential neural mechanisms underlying the development of cognitive behavioral symptoms in girls with FXS.
科研通智能强力驱动
Strongly Powered by AbleSci AI