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Adaptive Brain Lab

 

Ultra-high field (UHF) neuroimaging affords the sub-millimeter resolution that allows researchers to interrogate brain computations at a finer scale than that afforded by standard fMRI techniques. Here, we present a step-by-step protocol for using UHF imaging (Siemens Terra 7T scanner) to measure activity in the human brain. We outline how to preprocess the data using a pipeline that combines tools from SPM, FreeSurfer, ITK-SNAP, and BrainVoyager and correct for vasculaturerelated confounders to improve the spatial accuracy of the fMRI signal.  https://doi.org/10.1016/j.xpro.2021.100415.

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New paper by Adrian Ng, Ke Jia et al in Journal of Neuroscience

14 October 2021

Ultra-High-Field Neuroimaging Reveals Fine-Scale Processing for 3D Perception Binocular vision plays a significant role in supporting our interactions with the surrounding environment. The fine-scale neural mechanisms that underlie the brain’s skill in extracting 3D structure from binocular signals are poorly understood...

New paper by Karlaftis et al in Cerebral Cortex

1 July 2021

Combining multimodal brain imaging (fMRI, MRS) with behavioural measures of visual adaptation and memory, we show that adaptive processing is supported by GABAergic interactions between two functional networks: a sensory-adaptation network (visual, intra-parietal, dlPFC) and a perceptual-memory network (angular, precuneus...

2x Research Associate/ Senior Research Associates in Machine Learning and Clinical Informatics

7 June 2021

EDoN is recruiting! We're looking for 2 Research Associate/Senior Research Associates in Machine Learning and Clinical Informatics to join the team at University of Cambridge . Working with Zoe Kourtzi and alongside expert teams at The Alan Turing Institute and National Physical Laboratory (NPL) these roles focus on the...