Neurosciences

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Overview

The Neuroscience area is consolidating its position as one of the largest clusters of research labs working on neurological diseases across Europe. At present, the area comprises 14 groups with more than one hundred fully dedicated researchers in close contact with top clinicians in the hospital. These research groups pursue a better and multifaceted understanding of the etiopathogenic mechanisms underlying a large variety of mostly adult but also pediatric neurological disorders including stroke, multiple sclerosis, Alzheimer’s disease, Parkinson’s disease, primary headaches, epilepsy, neuromuscular disorders, and also neurosurgical and psychiatric pathologies. The area also integrates groups involved in neuroimaging, analysis and interpretation of high-throughput data, and gene therapy strategies to target inflammatory and neurodegenerative neurological conditions.

Publications

276
total
1952
impact factor
7.07
average impact factor

Group Leader: Rovira Cañellas, Alex

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Research Areas

We have participated in studies related with the role of atrophy measures in multiple sclerosis (MS). Concretely, outlining the role of cervical cord atrophy, by showing an association with clinical worsening of patients with MS. We have also participated in developing a new registration-based algorithm to quantify spinal cord atrophy. Results showed that the proposed method allows a better separation between MS patients and healthy controls, when compared with conventional segmentation-based approaches. We also assessed the agreement between two quantification approaches, Neuroquant and FIRST, on brain volume estimates, with larger structures achieving a better agreement. In addition, concordance between the two tools seems to be dependent on the presence of lesions. Finally, we have developed a quantification pipeline for perfusion CT maps that allowed detecting regional hyperperfusion in status epilepticus patients with good diagnostic capability to complement the EEG information.

VHIR Annual Report 2019

© FIR-HUVH Fundació Institut de Recerca Hospital Universitari Vall d’Hebron 2019 | Developed by: ondeuev