Brainimg Hippo Neocortex

NIACAL News

  • New Grant: NIA: R01 AG055121-01A1 (PREDICT-ADFTD: Multimodal Imaging Prediction of AD/FTD and Differential Diagnosis) (PI: Wang (Contact), Rosen) - We propose to use machine learning technologies to develop predictive biomarkers that can distinguish bvFTD and AD, using well-characterized clinical, neurologi...... >>
  • More News

    NIACAL Projects

  • Cerebral Small Vessels in Motor and Cognitive Decline (PI: Farzaneh Sorond (Neurology)): This study is to identify vascular measures of cerebral small vessels which precede the onset of cognitive and motor decline and are predictive of clinical and radiographic outcomes in small vessel...... >>
  • More Projects

    Recent Publications

  • Subtle hippocampal deformities in breast cancer survivors with reduced episodic memory and self-reported cognitive concerns.
    Apple, A., Ryals, A., Alpert, K., Wagner, L., Cella, D., Penedo, F., Voss, J., Wang, L.
    NeuroImage: Clinical 2017; 14: 685-691
    PMID: 28377882
    Associated project: HippoPCI: Hippocampal Predictors of Cognitive Impairment in Breast Cancer Patients
  • More Publications

    Recent Presentations

  • SchizConnect Work-in-Progress: Data Mediation, BIDSification and Pipelines for Neuroimaging Research in Schizophrenia
    Lei Wang Big Data Neuroscience 2017 Workshop (Bloomington, IN -- 09 2017)
    Download Presentation
    Associated project: BD Spokes: SPOKE MIDWEST Collaborative: Advanced Computational Neuroscience Network (ACNN)
  • More Presentations

    Volunteers

    NIACAL welcomes research volunteers. Please visit the Psychiatry Department volunteer page to find out how to participate.

    our mission

    Our lab's 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, we focus on the following major areas: automated pipelines for mapping of brain structures using MRI, development of complex neuroimaging biomarkers, clinical applications in dementia, psychosis, mood disorders and genetics, neuroinformatics, and neuroimaging of animal models.