Our methods teams work to improve our ability to detect brain signals with high spatial and temporal resolution.
Measuring neural signals
We measure brain structure and function non-invasively using neuroimaging technologies such as MRI, EEG and MEG.
We monitor how these signals change with different functions and how they are influenced by development, ageing, training, disease or medical interventions, allowing us to generate new measures relevant to the treatment of disease.
Probing neural signals
We probe neural signals associated with functions of interest by engaging participants in behavioural tasks that require these functions and controlling for factors that are not of interest.
Modelling and analysis
Interpreting neural signals
To analyse our data, we use mathematical models that describe how brain activity or structure are converted into the neuroimaging signals we measure. We then compare how well our observations fit with what is expected from different models.
The main software we use is SPM.
Statistical Parametric Mapping
Our leading software for analysing neuroimaging data was developed at FIL.