OUR RESEARCH
Our research is focused on aging as well as neurodegenerative disorders, particularly Alzheimer's and Parkinson's diseases. We also work with psychiatric disorders such as schizophrenia.
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OUR MISSION
Our aim is to detect the earliest signs of neurological disorders to improve early diagnosis before neurodegeneration and cognitive decline.
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OUR STRATEGY
We develop and apply new methods based on graph theory, deep learning, novel imaging sequences and biofluid markers to understand the underlying mechanisms of neurological disorders.
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OUR LAB
We are located at the central campus of Karolinska Institute, in the Nobels Väg 9 building, D3, Solna.
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OUR TEAM
Our team is highly interdisciplinary and consists of Postdocs, PhD students and Researchers with an engineering, neurology, physics, psychology or radiology background.
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OUR FOCUS

BRAIN CONNECTIVITY

One of the lab’s interests is to use magnetic resonance imaging and positron emission tomography to assess patterns of brain connectivity or coordinated patterns of brain pathology and shared mechanisms in neurodegeneration.

OUR FOCUS

BRAIN CONNECTIVITY

One of the lab’s interests is to use magnetic resonance imaging and positron emission tomography to assess patterns of brain connectivity or coordinated patterns of brain pathology and shared mechanisms in neurodegeneration.

research

our
strategy

Our lab is using graph theory, deep learning, new imaging sequences and multi-omics to study the earliest disease stages, predict disease progression and identify different clinical phenotypes of neurological diseases.

research

our
strategy

Our lab is using graph theory, deep learning, new imaging sequences and multi-omics to predict disease progression, identify different clinical phenotypes and establish precision medicine approaches.

SOFTWARE DEVELOPMENT

BRAPH 2.0–BRAIN ANALYSIS USING GRAPH THEORY

We have developed a fully vertically integrated software in MatLAB called BRain Connectivity Analysis with graPH theory (BRAPH), which has a clear modular structure that makes it easy to maintain and modify. It allows users to perform single and multi-modal brain connectivity analyses as well as implement deep learning methods through command line or a series of easy-to-use graphical user interfaces (GUI).

SOFTWARE DEVELOPMENT

BRAPH 2.0–BRAIN ANALYSIS USING GRAPH THEORY

We have developed a fully vertically integrated software in MatLAB called BRain Connectivity Analysis with graPH theory (BRAPH), which has a clear modular structure that makes it easy to maintain and modify. It allows users to perform single and multi-modal brain connectivity analyses as well as implement deep learning methods through command line or a series of easy-to-use graphical user interfaces (GUI).

Recent
publications

Recent
publications

Recent
publications

Latest news

Latest news