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Annie Lee
National University of Singapore
17Publications
6H-index
85Citations
Publications 18
Newest
#1Annie Lee (NUS: National University of Singapore)H-Index: 6
#2Joann S. Poh (NUS: National University of Singapore)H-Index: 7
Last.Anqi Qiu (NUS: National University of Singapore)H-Index: 37
view all 10 authors...
Abstract Maternal care may predict limbic development, though relations may vary by age and type of assessment. Here, we examined maternal behavior during early infancy (i.e., six months postpartum) in relation to offspring hippocampal and amygdala volume and microstructure development between 4.5 (n = 99) and 6 (n = 111) years. In interaction with offspring sex, maternal sensitivity predicted left amygdala volume at 6.0 years (β=-0.214, p = 0.032, df = 89) and independently predicted predominat...
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#1Chong Yaw WeeH-Index: 26
#2Chaoqiang LiuH-Index: 7
Last.Anqi QiuH-Index: 37
view all 6 authors...
#1Annie LeeH-Index: 6
#2Joann S. PohH-Index: 7
Last.Anqi QiuH-Index: 37
view all 8 authors...
#1Qiang Wang (NUS: National University of Singapore)H-Index: 1
#2Hong-Ying Zhang (NUS: National University of Singapore)H-Index: 28
Last.Anqi Qiu (NUS: National University of Singapore)H-Index: 37
view all 12 authors...
Maternal care influences child hippocampal development. The hippocampus is functionally organized along an anterior–posterior axis. Little is known with regards to the extent maternal care shapes offspring anterior and posterior hippocampal (aHPC, pHPC) functional networks. This study examined maternal behavior, especially maternal sensitivity, at 6 months postpartum in relation to aHPC and pHPC functional networks of children at age 4 and 6 years. Maternal sensitivity was assessed at 6 months v...
1 CitationsSource
#1Annie Lee (NUS: National University of Singapore)H-Index: 6
#2Joann S. Poh (NUS: National University of Singapore)H-Index: 7
Last.Anqi Qiu (NUS: National University of Singapore)H-Index: 37
view all 8 authors...
Abstract Background Prenatal maternal depression may have long-term impacts on amygdala-cortical development. This study explored associations of prenatal maternal depressive on the amygdala-cortical structural covariance of the offspring from birth to early childhood, derived from a longitudinal birth cohort. Methods Structural MRI was performed to obtain the amygdala volume and cortical thickness at each time point. Prenatal maternal depressive symptoms were measured using the Edinburgh Postna...
1 CitationsSource
#1Chong Yaw Wee (NUS: National University of Singapore)H-Index: 26
#2Chaoqiang Liu (NUS: National University of Singapore)H-Index: 7
Last.Anqi Qiu (NUS: National University of Singapore)H-Index: 37
view all 6 authors...
Abstract Combining machine learning with neuroimaging data has a great potential for early diagnosis of mild cognitive impairment (MCI) and Alzheimer's disease (AD). However, it remains unclear how well the classifiers built on one population can predict MCI/AD diagnosis of other populations. This study aimed to employ a spectral graph convolutional neural network (graph-CNN), that incorporated cortical thickness and geometry, to identify MCI and AD based on 3089 T 1 -weighted MRI data of the AD...
1 CitationsSource
#1Judy Kipping (NUS: National University of Singapore)H-Index: 8
#2Daniel S. Margulies (MPG: Max Planck Society)H-Index: 31
Last.Anqi Qiu (NUS: National University of Singapore)H-Index: 37
view all 5 authors...
Abstract Childhood is a critical period for the development of cognitive planning. There is a lack of knowledge on its neural mechanisms in children. This study aimed to examine cerebello-cortical and cortico-cortical functional connectivity in association with planning skills in 6-year-olds (n = 76). We identified the cerebello-cortical and cortico-cortical functional networks related to cognitive planning using activation likelihood estimation (ALE) meta-analysis on existing functional imaging...
1 CitationsSource
#1Jo A. Archer (NTU: Nanyang Technological University)H-Index: 3
#2Annie Lee (NUS: National University of Singapore)H-Index: 6
Last.S-H Annabel Chen (NTU: Nanyang Technological University)H-Index: 1
view all 4 authors...
Ageing is associated with grey matter atrophy and changes in task-related neural activations. This study investigated the effects of age and education on neural activation during a spatial working memory task in 189 participants aged between 20–80 years old, whilst controlling for grey matter density. Age was related to linear decreases in neural activation in task activated areas, and this effect was no longer significant when adjusting for education or accuracy. Age was also related to cubic i...
5 CitationsSource
#1Annie Lee (NUS: National University of Singapore)H-Index: 6
#2Mojun Shen (Agency for Science, Technology and Research)H-Index: 2
Last.Anqi Qiu (Agency for Science, Technology and Research)H-Index: 37
view all 3 authors...
Common brain abnormalities in cortical morphology and functional organization are observed in psychiatric disorders and aging, reflecting shared genetic influences. This preliminary study aimed to examine the contribution of a polygenetic risk for psychiatric disorders (PRScross) to aging brain and to identify molecular mechanisms through the use of multimodal brain images, genotypes, and transcriptome data. We showed age-related cortical thinning in bilateral inferior frontal cortex (IFC) and s...
1 CitationsSource
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