Heidi Emmanuel Foo

Heidi Emmanuel Foo
National University of Singapore | NUS · Department of Medicine

PhD

About

25
Publications
5,953
Reads
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259
Citations
Introduction
My research interest lies in imaging genetics of the ageing population. More specifically, I am investigating the genetics of resting-state functional networks using a large population study. Website: heidifoo.com
Additional affiliations
July 2018 - December 2021
UNSW
Position
  • PhD Student
Description
  • I was granted the UNSW Scientia PhD scholarship to fund for my graduate studies.
September 2017 - July 2018
Agency for Science, Technology and Research (A*STAR)
Position
  • PhD Student
Description
  • I investigated dopaminergic transmission dysfunction in a mouse model of Parkinson's disease using Optogenetics, functional MRI, and PET. Further, I also learnt the process behind making radioligands for PET tracers.
November 2016 - December 2016
University of California, San Francisco
Position
  • Researcher
Description
  • As a visiting scholar, my duties were to observe in clinics and clinical research evaluations. In addition, I was attached to one of their laboratories to learn more about analysing resting-state images using seed based methods.

Publications

Publications (25)
Article
This systematic review examines the genetic and epigenetic factors associated with resting-state functional connectivity (RSFC) in healthy human adult brains across the lifespan, with a focus on genes associated with Alzheimer’s disease (AD). There were 58 studies included. The key findings are: (i) genetic factors have a low to moderate contributi...
Preprint
Full-text available
This is the first study investigating the genetics of weighted functional brain network graph theory measures from 18,445 participants of the UK Biobank (44-80 years). The eighteen measures studied showed low heritability (mean h ² SNP =0.12) and were highly genetically correlated. Genome-wide association studies for these measures observed 14 sign...
Preprint
Full-text available
Hippocampal volume is an important biomarker of Alzheimer's disease (AD), and genetic risk of AD is associated with hippocampal atrophy. However, the hippocampus is not a uniform structure and has a number of subfields, the associations of which with age, sex, and polygenic risk score for AD (PRSAD) have been inadequately investigated. We examined...
Preprint
BACKGROUND Age and sex associated with changes in functional brain network topology and cognition in large population of older adults have been poorly understood. We explored this question further by examining differences in 11 resting-state graph theory measures with respect to age, sex, and their relationships with cognitive performance in 17,127...
Article
Full-text available
Age and sex associated with changes in the functional brain network topology and cognition in large population of older adults have been poorly understood. We explored this question further by examining differences in 11 resting-state graph theory measures with respect to age, sex, and their relationships with cognitive performance in 17,127 United...
Article
Full-text available
The triple-network model of psychopathology is a framework to explain the functional and structural neuroimaging phenotypes of psychiatric and neurological disorders. It describes the interactions within and between three distributed networks: the salience, default-mode, and central executive networks. These have been associated with brain disorder...
Article
Full-text available
Here, we investigated the genetics of weighted functional brain network graph theory measures from 18,445 participants of the UK Biobank (44–80 years). The eighteen measures studied showed low heritability (mean h2SNP = 0.12) and were highly genetically correlated. One genome-wide significant locus was associated with strength of somatomotor and li...
Article
Full-text available
Early career researchers (ECRs) are faced with a range of competing pressures in academia, making self-management key to building a successful career. The Organization for Human Brain Mapping undertook a group effort to gather helpful advice for ECRs in self-management. Bielczyk et al.
Article
Full-text available
To investigate patterns of hippocampal subfield atrophy among patients with amnestic mild cognitive impairment, stratified by severity of small vessel disease (SVD) and corresponding associations with cognitive domains. One hundred seventy-six MCI subjects (mean age = 65.56 years, SD = 8.77) underwent neuropsychological assessments and magnetic res...
Article
Hippocampal volume is an important biomarker of Alzheimer's disease (AD), and genetic risk of AD is associated with hippocampal atrophy. However, the hippocampus is not a uniform structure and has a number of subfields, the associations of which with age, sex, and polygenic risk score for AD (PRS AD) have been inadequately investigated. We examined...
Article
Background: Alongside Alzheimer disease pathology, cerebral small vessel disease (CSVD) contributes to the differential progression rates from mild cognitive impairment (MCI) to dementia. Hence, identification of specific type of CSVD lesions that influence progression is needed. Objective: The objective of this study was to evaluate the role of...
Article
Early career researchers (ECRs) are faced with a range of competing pressures in academia, making self-management key to building a successful career. The Organization for Human Brain Mapping undertook a group effort to gather helpful advice for ECRs in self-management.
Article
Background Global hippocampal atrophy is a hallmark of Alzheimer’s dementia and has been similarly reported in Parkinson’s disease dementia (PDD). However, there is limited literature on the differential involvement of hippocampal subfields in predicting conversion to PDD. This study is an extension of previous findings on progression to mild cogni...
Article
Full-text available
Individuals with mild cognitive impairment (MCI) exhibit varying serial position effect (SPE) performances. The relationship between SPE performance in word list recall and clinical, genetic, and neuroimaging features of MCI requires elucidation. 119 MCI and 68 cognitively normal (CN) participants underwent cognitive assessment, apolipoprotein E (A...
Article
Purpose of review: Chronological age is a crude measure and may not be the best indicator of the ageing process. Establishing valid and reliable biomarkers to understand the true effect of ageing is of great interest. We provide an overview of biological and psychological characteristics that change with age and can potentially serve as markers of...
Article
The association between cerebrovascular disease pathology (measured by white matter hyperintensities, WMH) and brain atrophy in early Alzheimer's disease (AD) remain to be elucidated. Thus, we investigated how WMH influence neurodegeneration and cognition in prodromal and clinical AD. We examined 51 healthy controls, 35 subjects with mild cognitive...
Article
Reading disorder is a recognized feature in primary progressive aphasia (PPA). Surface dyslexia, characterized by regularization errors, is typically seen in the English-speaking semantic variant of PPA (svPPA). However, dyslexic characteristics of other languages, particularly logographical languages such as Chinese, remain sparse in the literatur...
Presentation
Full-text available
Background: Poor serial position effect (SPE) performances have been demonstrated in dementia. Specifically, subjects with Alzheimer’s disease (AD) exhibit poor primacy with relatively spared recency (AD-type SPE). The other permutations of SPE profiles and their underlying biological correlates are not well understood. We sought to investigate the...
Article
Full-text available
Objective Alzheimer’s disease (AD) is associated with the presence of the apolipoprotein E4 (APOE4) allele, alleviated neuroinflammation, pronounced cortical thinning. However, the interplay of these variables together is unclear. We investigated the interaction between APOE4 and neuroinflammation as measured by high mobility group box 1 protein (H...
Article
Objective: To investigate the impact of diabetes mellitus (DM) on cognitive performance and longitudinal volumetric brain changes in a cohort of cognitively normal mild PD patients. Methods: Prospective study of idiopathic PD subjects who underwent baseline and follow-up MRI imaging and neuropsychological assessments at 6 month intervals for 3 year...
Article
Full-text available
Objective: Hippocampal atrophy has been associated with mild cognitive impairment (MCI) in Parkinson’s disease (PD). However, literature on how hippocampal atrophy affects the pathophysiology of cognitive impairment in PD has been limited. Previous studies assessed the hippocampus as an entire entity instead of their individual subregions. We studi...
Article
Full-text available
Background and purpose: Mild cognitive impairment (MCI) is associated with pronounced grey matter atrophy in various brain regions. However, the association between atrophy patterns and progression from no cognitive impairment (NCI) to Parkinson's disease (PD)-MCI is not clearly known. We investigated the pattern and progression of atrophy in subc...
Article
Full-text available
With the high prevalence rate of mild cognitive impairment (MCI) and dementia in Parkinson’s disease (PD), there is an increasing need to establish biomarkers that could identify those at risk of dementia. Small vessel cerebrovascular disease (SVD), including white matter hyperintensities (WMH), lacunes, perivascular spaces (PVS), and microbleeds,...
Article
Objective: Cerebral small-vessel disease (SVD) is a risk factor for dementia in Parkinson's disease (PD), however the pathophysiological role of SVD in PD-dementia is unclear. We investigated the impact of baseline and progression of SVD on cortical thickness and the correlation to cognition. Methods: Seventy-three mild PD patients with baseline...

Questions

Questions (4)
Question
Hi all,
I have a question regarding diffusion weighted imaging (DWI). I am currently trying to look at the DWI images in different cohorts and some of them are single-shell 32 or 64 directions while the others are multi-shell data. Is there any way I can correct for this variability?
Thank you!
Heidi Foo
Question
Hi,
Does anyone know what are the statistical differences between SPM and FreeSurfer?
Thanks!
Question
Hi, does anyone know how I can go about doing boundary based integral shift (TBSS) and tensor-based morphometry in SPM?

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Projects

Projects (2)
Project
To investigate the influence of genetics on brain structure and function in UK Biobank
Project
1. To detect syndrome-specific aberrant anatomical and functional connectome in early stage AD, bvFTD, and SVD using task-free fMRI and DTI. 2. To examine anatomical and functional connectome alterations among subjects with mild cognitive impairment. 3. To correlate connectome assays with APOE genotype and TOMM40 expression in early stage AD, SVD, and subjects with MCI.