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Personal profile

Research Interests

Dr. Lei Wang's lab research is focused on the development of multidimensional and multimodal neuroimaging biomarkers using the tools of computational anatomy. Working with collaborators from engineering, mathematics, psychology and clinical specialties, the team focuses on the following major areas: Mapping of Brain Structures using MRI. Dr. Wang develops automated pipelines to delineate brain structures based on simultaneous mappings of multiple structures from multiple atlases. This includes deep brain structures (such as the hippocampus, amygdala, thalamus, and basal ganglia) and cortical structures.Complex Neuroimaging Biomarkers. They develop modeling and statistical approaches for the analysis of these maps and frameworks for joint, integrated analyses of multidimensional, multimodal information based on the structural mapping of the brain. These include: • Multimodal MRI analysis: structural MRI, functional MRI, diffusion MRI, perfusion MRI, PET • Network analysis • Structure-function relationship • Subtyping and dimensional analysis • Prediction and longitudinal analysis Clinical Applications We are interested in developing neuroimaging markers to characterize neuropsychiatric disorders, disease progression and prediction, and monitoring of treatment:
• Mild cognitive impairment (MCI), dementia • Breast cancer-related MCI • Psychosis/Schizophrenia/Mood Disorders • Imaging Genetics Neuroinformatics • Data sharing • Data mediation Preclinical Applications Neuroimaging of Animal Models • Schizophrenia, Dementia, Mood Disorders, Memory • Mouse, rat, rabbit

Education/Academic qualification

PhD, Harvard University

… → 1995

Keywords

  • Aging
  • Alzheimer's Disease
  • Bioengineering
  • Bioinformatics
  • Psychiatry
  • Psychology
  • Radiology
  • Schizophrenia

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Schizophrenia Medicine & Life Sciences
Hippocampus Medicine & Life Sciences
Alzheimer Disease Medicine & Life Sciences
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Neuroimaging Medicine & Life Sciences
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Thalamus Medicine & Life Sciences

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Grants 2008 2022

Acquired Immunodeficiency Syndrome
Cohort Studies
HIV
Pediatrics
HIV Infections
Heart Diseases
Information Dissemination
Databases
General Anesthesia
Computing Methodologies
Androgens
Prostatic Neoplasms
Survival Rate
Health
Population
Multimodal Imaging
Frontotemporal Dementia
Alzheimer Disease
Differential Diagnosis
Biomarkers
Brain
Neuroimaging
Natural sciences computing
Computational methods
World Wide Web

Research Output 1997 2019

In vivo hippocampal subfield shape related to TDP-43, amyloid beta, and tau pathologies

Hanko, V., Apple, A. C., Alpert, K. I., Warren, K. N., Schneider, J. A., Arfanakis, K., Bennett, D. A. & Wang, L., Feb 1 2019, In : Neurobiology of Aging. 74, p. 171-181 11 p.

Research output: Contribution to journalArticle

Amyloid
Alzheimer Disease
Pathology
DNA-Binding Proteins
Linear Models
6 Citations (Scopus)

Development and validation of a novel dementia of Alzheimer's type (DAT) score based on metabolism FDG-PET imaging

The Alzheimer's Disease Neuroimaging Initiative, Jan 1 2018, In : NeuroImage: Clinical. 18, p. 802-813 12 p.

Research output: Contribution to journalArticle

Positron-Emission Tomography
Alzheimer Disease
Area Under Curve
Biomarkers
Neuroimaging
2 Citations (Scopus)

Hippocampal functional connectivity is related to self-reported cognitive concerns in breast cancer patients undergoing adjuvant therapy

Apple, A. C., Schroeder, M. P., Ryals, A. J., Wagner, L. I., Cella, D., Shih, P. A., Reilly, J. L., Penedo, F. J., Voss, J. L. & Wang, L., Jan 1 2018, In : NeuroImage: Clinical. 20, p. 110-118 9 p.

Research output: Contribution to journalArticle

Survivors
Breast Neoplasms
Hippocampus
Neoplasms
Parietal Lobe

Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms

Mussabayeva, A., Kroshnin, A., Kurmukov, A., Denisova, Y., Shen, L., Cong, S., Wang, L. & Gutman, B. A., Jan 1 2018, Shape in Medical Imaging - International Workshop, ShapeMI 2018, Held in Conjunction with MICCAI 2018, Proceedings. Lombaert, H., Paniagua, B., Egger, B., Lüthi, M., Reuter, M. & Wachinger, C. (eds.). Springer Verlag, p. 160-168 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11167 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Predictive Modeling
Image registration
Image Registration
Diffeomorphisms
Registration
1 Citation (Scopus)

Prepubertal ovariectomy exaggerates adult affective behaviors and alters the hippocampal transcriptome in a genetic rat model of depression

Raghavan, N. S., Chen, H., Schipma, M., Luo, W., Chung, S., Wang, L. & Redei, E. E., Jan 22 2018, In : Frontiers in Endocrinology. 8, JAN, 373.

Research output: Contribution to journalArticle

Genetic Models
Ovariectomy
Transcriptome
Depression
Genetic Predisposition to Disease