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ADVANCED EEG/MEG ANALYSIS

Besides a longstanding tradition with the use of traditional spectral analysis techniques, we specialise in the development of novel functional connectivity and network measures.

 

We assess their use as diagnostic, prognostic and treatment monitoring markers, and their value for augmenting our understanding of information processing in the brain.

Examples of measures that we have developed and that are

SELECTED PUBLICATIONS

THE JPE: A NEW MARKER OF NEURONAL CONNECTIVITY AND VARIABILITY

The Joint Permutation Entropy (JPE) is a potential biomarker for early-stage AD, describing a mix of functional connectivity and neuronal variability.

Scheijbeler et al., Network Neuroscience, 2022

HIPPOCAMPAL HYPERACTIVITY IN ALZHEIMER: A MEG STUDY

Using the capability of MEG to detect deeper and more localized sources, we describe potential signs of hippocampal hyperactivity in predementia AD.

Luppi et al., Journal of Alzheimer's disease

GENERATING DIAGNOSTIC PROFILES OF COGNITIVE DECLINE AND DEMENTIA USING MAGNETOENCEPHALOGRAPHY

Multi-class classification of cognitive decline and dementia subtypes basaed on MEG biomarkers holds promise to improve diagnostic accuracy.​ 

Scheijbeler et al., Neurobiology of Aging

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