Periodic Reporting for period 1 - DISCONNECTOME (Brain connections, Stroke, Symptoms Predictions and Brain Repair)
Reporting period: 2019-09-01 to 2021-02-28
Brain lesions do not just disable but also disconnect brain areas, which once deprived of their input or output, can no longer subserve behaviour and cognition. I have pioneered the development of imaging techniques that allow for the exploration of the relationship between brain disconnection and neuropsychological syndromes. With these tools, I aim to demonstrate that the structural organisation of the human brain's connections is the common denominator supporting functional specialisation and, when damaged, neuropsychological disorders.
Building on my expertise, I plan to (WP1) establish a comprehensive atlas of the function of white matter for the entire human brain, (WP2) fractionate the stroke population according to disconnection profiles, (WP3) predict neuropsychological symptoms based on disconnection profiles, and (WP4) characterise and manipulate the fine biology involved in the disconnection recovery.
In so doing, this project will introduce a paradigm shift in the relationship between brain structure, function, and behavioural/cognitive disorders. I will deliver a comprehensive biological model of the neurocircuitry that supports neuropsychological syndromes, which will gather the modular organisation of primary idiotypic functions with the integrative organisation of highly associative levels of functions. In the long term, this project will allow me to determine if measures of brain ‘connectivity’ can be translated into advanced standard procedures that provide personalised medicine, that focuses on rehabilitation and improves the prediction of symptom recovery while providing new targets for pharmacological treatments.
Building on this innovative approach, we projected all functions systematically from the cortex to the white matter and built the first atlas of white matter's function (Thiebaut de Schotten et al. Nature Communications 2020, WP1). We also developed an open-source software that will allow the scientific community to follow our tracks and study the white matter's functional organisation using our methods independently from our team (Nozais et al. BioRxiv 2021 submitted, WP1).
In parallel, we refined our brain disconnections measures after a stroke and their link with behaviour. We revealed that the joint disconnection between white matter tracts can lead to profound awareness disorders (i.e. anosognosia for hemiplegia, Pacella et al. E-life 2019 WP2). We then successfully fractionated the population of stroke patients according to their disconnection profile. Surprisingly, we discovered that the non-random distribution of stroke had influenced how neuroscientists defined the brain's different functions (Thiebaut de Schotten et al. Nature Communications 2020, WP2). As a consequence, it means that some brain functions thus far remain unknown and unmapped. This discovery led us to start an unexpected new line of investigation to discover these functions to complete our atlas of the function of white matter (WP1). Due to our work's growing notoriety, the DISCONNECTOME team has recently been invited to write a commentary on metabolic disconnection (Forkel and Thiebaut de Schotten Brain 2020) and our work is now displayed on the façade of the CNRS building in Aquitaine (figure 1).
The COVID-19 pandemic has considerably hampered our progress regarding the characterisation and the manipulation of brain disconnection recovery (WP4). Specifically, the sanitary situation delayed the delivery of the squirrel monkeys planned for the experimentation. Given that we already recruited the post-docs, we wrote two unplanned literature reviews during the grant's first year. One of these reviews highlights the importance of the squirrel monkeys species for clinical neuroscience (Royo et al. submitted, WP4). The second review highlights how comparative neuroimaging provides insights into the human brain evolutionary history and may help discover neuroprotective mechanisms (Friedrich et al. Neuroimage 2021 WP4).
We fractionated the population of stroke patients and, by doing so, completed WP2 of the project.
WP3 aims at predicting symptoms in stroke based on their pattern of disconnections. This work is currently ongoing, but we expect two publications and an n interactive website for symptom predictions based on brain anatomy to be available before the end of the project.
The characterisation and manipulation of stroke disconnection recovery are currently ongoing and should also lead to fundamental discoveries regarding brain mechanisms and potential new opportunities for brain repair.