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Institute of Neuroscience and Medicine
Brain and Behaviour (INM-7)
(leer)

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Understanding human brain organization
We develop and apply novel methods for mapping the regional organization of the human brain into cortical areas as well as the topography of large-scale, distributed networks recruited by cognitive, socio-affective or sensorimotor tasks.

Modelling inter-individual differences
We characterize the variability of brain structure, function and connectivity in large cohorts and their relation to age, gender and behavioral measurements. Using machine-learning approaches we train predictive models for inference on phenotypical characteristics of new, individual subjects from brain imaging data.

Translating technology into clinical applications
We implement and evaluate novel machine-learning approaches for improved diagnosis, stratification and outcome prediction at the level of individual patients based on neuroimaging and wearable technology.

Enabling research through open science
An important focus of our work is to provide the developed tools and results to the scientific public through free software-tools and open data sets to encourage broad use.

Focus

Applied Machine Learning

Applied Machine Learning

Group leader:
Dr. Kaustubh Patil

The group focuses on designing and evaluating machine-learning algorithms and pipelines. The application areas include mental health and psychiatric disorders as well as basic understanding of brain structure, function and development. More: Applied Machine Learning …

Behavioural Neuroscience

Behavioural Neuroscience

Group leader:
Dr. Robert Langner

The group aims to further our understanding of how the brain contributes to human behaviour. The group investigates cognitive and affective processes and their associations with brain activity, connectivity and morphology. More: Behavioural Neuroscience …

Biomarker Development Startpicture

Biomarker Development

Group leader:
Dr. Jürgen Dukart

The aim of the group is to identify, validate and integrate novel neuroimaging and digital biomarkers that can be applied for early detection and treatment evaluation of changes in brain organization in advanced age as well as in neurological and psychiatric diseases. More: Biomarker Development …

Brain Variability

Brain Variability

Group leader:
PD Dr. Susanne Weis

The group investigates the relationship between variability of structural and functional brain organization and individual differences in experience, information processing and behavior. More: Brain Variability …

Cognitive Neuroinformatics

Cognitive Neuroinformatics

Group leader:
Dr. Sarah Genon

The group investigates brain organization at the macroscale and its relationship to cognitive functioning. More: Cognitive Neuroinformatics …

Data and Platforms

Data and Platforms

Team leader:
Alex Waite

The primary focus of the Data & Platforms group is to build and share robust, open, and reproducible environments/services that are tailored to the needs of neuroimaging researchers. More: Data and Platforms …

Mathematical Neuroscience

Mathematical Neuroscience

Group leader:
PD Dr. Oleksandr Popovych


The group primarily aims to derive, validate and investigate mathematical models of neuronal networks based on empirical data. More: Mathematical Neuroscience …

Psychoinformatics

Psychoinformatics

Group leader:
Prof. Dr. Michael Hanke


The group "Psychoinformatics" focuses on the interface of neuroscience, psychology and computer science and the combination of classical experimental methodology with machine learning methods. More: Psychoinformatics …


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