Rosaleena Mohanty

Rosaleena Mohanty

Assistant Professor
Visiting address: Blickagången 16, 14152 Huddinge
Postal address: H1 Neurobiologi, vårdvetenskap och samhälle, H1 Klinisk geriatrik Westman, 171 77 Stockholm
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About me

  • Rosaleena Mohanty is Assistant Professor in the Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society. Her training and background are in electrical engineering, with a focus on medical image processing. She received her PhD in 2019 from the University of Wisconsin-Madison and completed postdoctoral research in the Westman neuroimaging group at Karolinska Institutet during 2019-2023. 

    TRAINING AND EDUCATION:

    2019 – 2023: Postdoctoral researcher, Karolinska Institutet, Sweden
    2015 – 2019: PhD in Electrical Engineering, University of Wisconsin-Madison, USA
    2013 – 2015: MS in Electrical Engineering, University of Wisconsin-Madison, USA
    2009 – 2013: BS in Electronics and Communication Engineering, Institute of Technical Education and Research, India

    FUNDING:

    Rosaleena's research is supported by grants from Svenska Sällskapet för Medicinsk Forskning (SSMF), Center for Innovative Medicine (CIMED)-Junior, KI Fonden, Demensförbundet, Gun och Bertil Stohnes Stiftelse, Stiftelsen Lars Hiertas minne, Stiftelsen för Gamla Tjänarinnor.

Research

  • Rosaleena's core research interests lie in characterization of the human brain structure and function based on neuroimaging and understanding the association with behavioral outcomes in various populations. Her primary research is focused on gaining understanding of heterogeneity of neurodegenerative diseases (Alzheimer’s, Parkinson's diseases) using multimodal brain imaging (MRI, PET) biomarkers.

    If you are interested to conduct Master's thesis research involving brain imaging and neurodegenerative diseases, feel free to reach out via email. 

Teaching

  • Master's-level courses:

    2021-2023, Introduction to Brain Imaging in Neuroscience: With a Focus on MRI, PET, EEG and MEG Methods, KI

    2022-2023, Frontiers in Biomedicine, KI

    Doctoral-level courses:

    2020-2022, Imaging in neuroscience: with a focus on structural MRI methods, KI

    2022-2023, Imaging in neuroscience: with a focus on functional magnetic resonance imaging methods, KI and Stockholm University

Articles

All other publications

Grants

  • Swedish Research Council
    1 December 2021 - 30 November 2025
    Disentangling the heterogeneity in Alzheimer’s disease (AD) will lead to a better understanding of the underlying pathophysiological mechanisms of disease, enabling precision medicine approaches. Therefore, the overall aim of this project is to unravel the complexity within AD and understand the overlap with other disorders. This will pave the way for early diagnosis and successful intervention/clinical trials. This is an innovative multimodal neuroimaging project taking advantage of machine learning to study large cohorts. As an example, we have developed the first Bayesian hierarchical clustering method, modeling longitudinal information using a clear timescale (example: time from clinical diagnosis, not just baseline scan). This enables us to separate disease staging from distinct subtypes using different imaging modalities for the first time. This will be crucial for the characterization of disease pathways and subtypes and their underling ethiology. Previous studies have  focused on defining and describing subtypes. We will also attempt to translate findings and confirm that a deeper phenotyping is crucial for both diagnosis and management of patients in the clinic as well as for obtaining an optimal response to treatment/intervention. If the project is successful, the alignment of disease modeling and the development of accurate tools for prediction will enable precision medicine approaches to facilitate the personalization of treatment.

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