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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
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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

Circuit activity underlying a distinct modulator of prepulse inhibition

Heidinger, L., Reilly, J. L., Wang, L. & Goldman, M. B., Jun 30 2019, In : Psychiatry research. Neuroimaging. 288, p. 1-11 11 p.

Research output: Contribution to journalArticle

Auditory Cortex
Psychotic Disorders
Hearing
Brain Stem
Healthy Volunteers

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

The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services

Avesani, P., McPherson, B., Hayashi, S., Caiafa, C. F., Henschel, R., Garyfallidis, E., Kitchell, L., Bullock, D., Patterson, A., Olivetti, E., Sporns, O., Saykin, A. J., Wang, L., Dinov, I., Hancock, D., Caron, B., Qian, Y. & Pestilli, F., May 23 2019, In : Scientific Data. 6, 1, 1 p.

Research output: Contribution to journalArticle

Open Access
Brain
brain
Pipelines
Derivatives
Derivative
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