Caroline Nettekoven

Wellcome Early Career Fellow

University of Oxford

About

I am a neuroscientist studying how different areas of the human brain contribute to complex behaviours, with a focus on the cerebellum. I use neuroimaging, brain stimulation and computer models.

Let me tell you about my research in 120 seconds!

My current work uses personalized ultrasound stimulation to test the cerebellum’s causal role in cognition. Previously, I developed a cerebellar atlas that can be tailored to individuals, and during my PhD, I uncovered a link between cerebellar neurochemicals and movement.

I’m funded by a Wellcome Trust Early Career Fellowship and the Raynor Cerebellum Project, with past support from BrainsCAN and CIHR.

Interests

Cerebellum
Neuroimaging
Computational Modelling
Brain Stimulation
Open Science

Education

DPhil, 2021
University of Oxford
BSc, 2015
Heidelberg University

Recent & Upcoming Talks

The cerebellum beyond movement

Talk at the University of Hong Kong.

Sep 18, 2026 8:00 AM — 9:00 AM University of Hong Kong

A functional atlas of the cerebellum

Talk at the 12th Congress of the European Academy of Neurology about the functional specialization of the cerebellum and implications for diagnosing and treating cerebellar damage.

Jun 27, 2026 2:00 PM — 2:30 PM Geneva, Switzerland

How can we best reveal the functional organization of the human brain?

Talk at the Stimulating Brains Webinar.

Jun 26, 2026 12:00 AM — 1:00 AM Online

Key Publications

Nettekoven, Draganova, Steiner, Goericke, Deistung, Konczak, Timmann (2025). First application of a novel brain template: Motor training improves cortico-cerebellar connectivity in cerebellar ataxia. Journal of Neuroscience.

Nettekoven, Zhi, Shahshahani, Pinho, Saadon-grosman, Buckner, Diedrichsen (2024). A hierarchical atlas of the human cerebellum for functional precision mapping. Nature Communications.

Nettekoven, Diederen, Giles, Duncan, Stenson, Olah, Gibbs-Dean, Collier, Vertes, Spencer, Morgan, McGuire (2023). Semantic Speech Networks Linked to Formal Thought Disorder in Early Psychosis. Schizophrenia Bulletin.

Nettekoven, Mitchell, Clarke, Emir, Campbell, Johansen-Berg, Jenkinson, Stagg (2022). Cerebellar GABA Change during Visuomotor Adaptation Relates to Adaptation Performance and Cerebellar Network Connectivity: A Magnetic Resonance Spectroscopic Imaging Study. Journal of Neuroscience.

Nettekoven, Jurdon, Nandi, Jenkinson, Stagg (2022). Cerebellar anodal tDCS does not facilitate visuomotor adaptation or retention. Brain Stimulation.

See all publications

Blog

How to apply for fellowships

A guide to fellowship applications with tips for writing the proposal, surviving the interview, and navigating the process from start to finish.

Nettekoven

Last updated on Jan 21, 2025 17 min read

How to localize functions in the cerebellum

Introduction to functional regions of the cerebellum. Learn how to use a functional atlas of the cerebellum to define your regions of interest, map them precisely in the individual and study cerebellar function.

Nettekoven

Last updated on Jan 20, 2024 3 min read

How to localize functions in the cerebellum

How to classify ICA components

Independent Component Analysis (ICA) can identify patterns in fMRI data. Some of the components reflect BOLD signal and others are driven by noise. This post explains how to identify signal components and noise components in your data.

Nettekoven

Last updated on Jan 19, 2024 10 min read

How to classify ICA components

How to clean fMRI data with FIX-ICA

In resting-state fMRI processing we often apply Independent Component Analysis to clean the data from noise. Automated approaches for ICA-based cleaning can automatically label components as noise or signal, but often need to be trained on data-specific labels. This post explains how to train an automated ICA component classifier and use it to denoise fMRI data.

Nettekoven

Last updated on Mar 28, 2024 19 min read

How to clean fMRI data with FIX-ICA

How to analyse semantic speech networks

Tutorial on how to anlayze semantic speech networks with netts. Guide on basic and advanced network measures netts can calculate to explore the structure of networks.

Nettekoven

Last updated on Dec 7, 2023 13 min read

How to analyse semantic speech networks

Teaching

Graph Theory and Network Neuroscience

Introductory lecture on Graph Theory and Network Neuroscience. Part of the Cognitive Neuroscience Skills Training (COGNESTIC) at the University of Cambridge.

Sep 27, 2022 3:45 PM — 3:45 PM University of Cambridge

Slides Video Coding Exercises Exercise Solutions

Graph Theory

Lecture introducing concepts from Graph Theory and Network Neuroscience, as part of the Introduction to Neuroimaging Methods lecture series at the University of Cambridge MRC CBU. The seminar includes practical exercises. For exercise material and solutions see links below.

Feb 23, 2021 4:00 PM — Feb 21, 2022 4:00 PM University of Cambridge

Slides Video Coding Exercises Exercise Solutions

Graph Theory

Cerebellum

Lecture introducing cerebellar structure and function. Part of the Motor Systems Module of the MSc Neuroscience in Oxford.

Feb 3, 2021 4:00 PM University of Oxford

Cerebellum

FSL Course

Tutor for MRI Analysis, WIN Graduate Programme. Teaching principles of neuroimaging data analysis and practical application of the FSL toolbox.

Oct 1, 2018 — Sep 30, 2017 University of Oxford

FSL Course