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Anderson M. Winkler

MSc MD


FMRIB Analysis Group

Short Description

My research is at the interface between the medical specialties that make extensive use of neuroimaging and the statistics that allow the use of the data and discoveries. It aims at the translation these advances into the clinical practice, with the ultimate goal of fighting disease, improving quality of life, and better understanding the human brain.

Research Summary

Research Summary

Neurology and Psychiatry are two specialties that focus on understanding the brain in healthy and diseased states. Magnetic Resonance Imaging (MRI) is a central tool used in these, and in other medical areas, for the diagnosis of disorders as well as for research purposes. There are multiple ways in which MRI can provide detailed information about brain structure and its function. To make sense of this information, relating it to, for instance, genetics and cognition, we need robust statistical methods. My work can be broadly organised into two related lines of research:

Neuroimaging analysis

Neuroimaging encompasses a variety of methods, each producing images that have different physical and biological properties. Despite this variety, the most common analysis strategy relies on the same method, known as parametric inference. While fast, it relies upon often invalid suppositions. A superior alternative is to use permutation inference, that eschews nearly all of these assumptions, but is computationally intensive and imposes other difficulties. My work seeks to find solutions for these challenges for neuroimaging, such that widespread use of these methods, that allow reliable conclusions from the experimental data, becomes a reality.

Imaging genetics

This is a new and exciting field that relies strongly on the definition of traits, their relationship with genes, and the association of both with disorders. Neuroimaging can provide traits closer to the direct genetic influences, and can be used for objective assessments of brain structure and function that have potential to supersede current nosological approaches.

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Key Publications

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Recent Publications

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