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Betty Lind

University of Southern California · US
Area of research
Physiology · Psychiatry and Mental health
Research interest
Research interests include Alzheimer's disease research and treatments, Dementia and Cognitive Impairment Research, Functional Brain Connectivity Studies, and Bioinformatics and Genomic Networks.
h-index
46
citations
8,854
works
96
NIH funding
primary concept
email

Recent publications

Multiomics analysis to explore blood metabolite biomarkers in an Alzheimer’s Disease Neuroimaging Initiative cohort
Scientific Reports 2024cited by 26position: middledoi
A novel spatiotemporal graph convolutional network framework for functional connectivity biomarkers identification of Alzheimer’s disease
Alzheimer s Research & Therapy 2024cited by 17position: middledoi
Deep learning-based polygenic risk analysis for Alzheimer’s disease prediction
Communications Medicine 2023cited by 69position: middledoi
Prevalence and Clinical Implications of a β-Amyloid–Negative, Tau-Positive Cerebrospinal Fluid Biomarker Profile in Alzheimer Disease
JAMA Neurology 2023cited by 43position: middledoi
Identifying healthy individuals with Alzheimer’s disease neuroimaging phenotypes in the UK Biobank
Communications Medicine 2023cited by 15position: middledoi
Characterizing Heterogeneity in Neuroimaging, Cognition, Clinical Symptoms, and Genetics Among Patients With Late-Life Depression
JAMA Psychiatry 2022cited by 145position: middledoi
Amyloid-associated increases in soluble tau relate to tau aggregation rates and cognitive decline in early Alzheimer’s disease
Nature Communications 2022cited by 129position: middledoi
An IL1RL1 genetic variant lowers soluble ST2 levels and the risk effects of APOE-ε4 in female patients with Alzheimer’s disease
Nature Aging 2022cited by 46position: middledoi
Dissociation of tau pathology and neuronal hypometabolism within the ATN framework of Alzheimer’s disease
Nature Communications 2022cited by 43position: middledoi
A predictive model using the mesoscopic architecture of the living brain to detect Alzheimer’s disease
Communications Medicine 2022cited by 29position: middledoi
Dissection of the polygenic architecture of neuronal Aβ production using a large sample of individual iPSC lines derived from Alzheimer’s disease patients
Nature Aging 2022cited by 25position: middledoi
Accelerated functional brain aging in pre-clinical familial Alzheimer’s disease
Nature Communications 2021cited by 100position: middledoi
KL-VS heterozygosity is associated with lower amyloid-dependent tau accumulation and memory impairment in Alzheimer’s disease
Nature Communications 2021cited by 67position: middledoi
Correlation between Alzheimer’s disease and type 2 diabetes using non-negative matrix factorization
Scientific Reports 2021cited by 31position: middledoi
Spread of pathological tau proteins through communicating neurons in human Alzheimer’s disease
Nature Communications 2020cited by 534position: middledoi
Functional brain architecture is associated with the rate of tau accumulation in Alzheimer’s disease
Nature Communications 2020cited by 339position: middledoi
Challenges and Opportunities with Causal Discovery Algorithms: Application to Alzheimer’s Pathophysiology
Scientific Reports 2020cited by 134position: middledoi
Women can bear a bigger burden: ante- and post-mortem evidence for reserve in the face of tau
Brain Communications 2020cited by 85position: middledoi
A telescope GWAS analysis strategy, based on SNPs-genes-pathways ensamble and on multivariate algorithms, to characterize late onset Alzheimer’s disease
Scientific Reports 2020cited by 20position: middledoi
Predicting Alzheimer’s disease progression using multi-modal deep learning approach
Scientific Reports 2019cited by 398position: middledoi
Non-coding variability at the APOE locus contributes to the Alzheimer’s risk
Nature Communications 2019cited by 123position: middledoi
The BIN1 rs744373 SNP is associated with increased tau-PET levels and impaired memory
Nature Communications 2019cited by 114position: middledoi
Predicting Short-term MCI-to-AD Progression Using Imaging, CSF, Genetic Factors, Cognitive Resilience, and Demographics
Scientific Reports 2019cited by 93position: middledoi
Multimodal Hippocampal Subfield Grading For Alzheimer’s Disease Classification
Scientific Reports 2019cited by 47position: middledoi
Genome-wide association analysis of hippocampal volume identifies enrichment of neurogenesis-related pathways
Scientific Reports 2019cited by 30position: middledoi
A blood-based signature of cerebrospinal fluid Aβ1–42 status
Scientific Reports 2019cited by 26position: middledoi
Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer’s Disease using structural MR and FDG-PET images
Scientific Reports 2018cited by 380position: middledoi
Brain multiplexes reveal morphological connectional biomarkers fingerprinting late brain dementia states
Scientific Reports 2018cited by 92position: middledoi
Characteristic patterns of inter- and intra-hemispheric metabolic connectivity in patients with stable and progressive mild cognitive impairment and Alzheimer’s disease
Scientific Reports 2018cited by 27position: middledoi
Robust Identification of Alzheimer’s Disease subtypes based on cortical atrophy patterns
Scientific Reports 2017cited by 83position: middledoi

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