Principal Investigators


Full Professor

Structural connectivity and cognition in neurological and psychiatric disorders


Assistant Professor

Pain and emotion neuroscience


Associate Professor

Functional connectivity and cognition in neurological and psychiatric disorders


Assistant Professor

Neuroimaging in experimental animal models


Assistant Professor

Statistical modeling and data analysis for neuroimaging

Research team


Maria Suñol

Postdoctoral Researcher


Anna Campabadal

Postdoctoral Researcher


Carme Uribe

Postdoctoral Researcher


Anna Inguanzo

Early Stage Researcher


Javier Oltra

Early Stage Researcher


Gemma Cristina Monte



Alexandra Abos



Nuria Bargallo



Hugo Cesar Baggio


Research Interest


The aim of this programme is to identify the mechanisms responsible for cognitive deficits in neurologic and psychiatric diseases using multimodal neuroimaging techniques to contribute to the development of clinically useful imaging biomarkers. It includes the study of the consequences of brain disorders in behaviour and cognition characterising abnormalities in large-scale functional and structural brain networks. Moreover, this research aims to increase the understanding of how distinct aspects of the brain are related to cognitive function. We are also interested in disentangling the biological basis beyond neuroimaging measures as well as exploring their capacity to predict disease evolution and prognosis.

Technologies & Methods


  • Neuropsychological testing
  • Magnetic Resonance Imaging
  • Single Photon Emission Tomography (SPECT) and Positron Emission Tomography (PET)
  • Brain connectivity
  • Machine learning
  • Bayesian statistics
  • Predictive modeling
  • Psychophysiological measures such as skin conductance response and heart rate variability

Featured Projects


    • COVID19 and brain: cognition and mental health (DIANA). Pandemies 2020. Generalitat de Catalunya. 2020PANDE00053. Carme Junque


    • CogNition, emotion/behAvior, fUnctionaliTy and braIn connectivity in recovered COVID-19 patientS (NAUTILUS).  FMTV – Fundació La Marató de TV3. 202111-30-31-32. Bàrbara Segura


    • Effect of pre and post amyloid cognitive intervention on structural and functional connectivity in a transgenic rat model of Alzheimer’s. Instituto Carlos III (ISCIII- PI18/00893). Guadalupe Soria


    • Fenotipos cognitivos en la enfermedad de Parkinson mediante la identificación de patrones de neuroimagen multimodal. Ministerio de Economía y Competitividad. PSI2017-86930-P. Carme Junque


    • Identifying neural pathophysiology in juvenile fibromyalgia.. National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)-NIH. (Cincinnati Children’s Hospital). (NIH R01 number R01AR074795). Marina Lopez-Sola


    • Multimodal imaging in parkinsonisms: from the molecular synaptic pruning to the whole-brain connectomics (SYNPARK).) EUUN – Unió Europea. 888692. Barbara Segura y Carme Uribe


    • Neuropsicologia. Agència de Gestió d’Ajuts Universitaris i de Recerca. 2017SGR748. Carme Junque


    • Phenylketonuria: from chilhood to adults through brain functional conectomics, cardiovascular changes, metabolomic and intestinal microbiota characteristics. Fundació La Marato. 202014-30. Carme Junque

Featured Publications


    • Inguanzo, A., Sala-Llonch, R., Segura, B., Erostarbe, H., Abos, A., Campabadal, A., Uribe, C., Baggio, H. C., Compta, Y., Marti, M. J., Valldeoriola, F., Bargallo, N., & Junque, C. (2021). Hierarchical cluster analysis of multimodal imaging data identifies brain atrophy and cognitive patterns in Parkinson’s disease. Parkinsonism & Related Disorders, 82, 16–23.


    • Muñoz-Moreno, E., Tudela, R., López-Gil, X., & Soria, G. (2020). Brain connectivity during Alzheimer’s disease progression and its cognitive impact in a transgenic rat model. Network Neuroscience, 4(2), 397–415.



    • Uribe, C., Segura, B., Baggio, H. C., Abos, A., Garcia-Diaz, A. I., Campabadal, A., Marti, M. J., Valldeoriola, F., Compta, Y., Bargallo, N., & Junque, C. (2019). Progression of Parkinson’s disease patients’ subtypes based on cortical thinning: 4-year follow-up. Parkinsonism & Related Disorders, 64, 286–292.


    • Sala-Llonch, R., Smith, S. M., Woolrich, M., & Duff, E. P. (2019). Spatial parcellations, spectral filtering, and connectivity measures in fMRI: Optimizing for discrimination. Human Brain Mapping, 40(2), 407–419.


    • Baggio, H. C., Abos, A., Segura, B., Campabadal, A., Garcia-Diaz, A., Uribe, C., Compta, Y., Marti, M. J., Valldeoriola, F., & Junque, C. (2018). Statistical inference in brain graphs using threshold-free network-based statistics. Human Brain Mapping, 39(6), 2289–2302.


    • Uribe, C., Segura, B., Baggio, H. C., Abos, A., Marti, M. J., Valldeoriola, F., Compta, Y., Bargallo, N., & Junque, C. (2016). Patterns of cortical thinning in nondemented Parkinson’s disease patients. Movement Disorders, 31(5), 699–708.


    • Baggio, H.-C., Segura, B., Sala-Llonch, R., Marti, M.-J., Valldeoriola, F., Compta, Y., Tolosa, E., & Junqué, C. (2015). Cognitive impairment and resting-state network connectivity in Parkinson’s disease. Human Brain Mapping, 36(1), 199–212.


    • Segura, B., Baggio, H. C., Marti, M. J., Valldeoriola, F., Compta, Y., Garcia-Diaz, A. I., Vendrell, P., Bargallo, N., Tolosa, E., & Junque, C. (2014). Cortical thinning associated with mild cognitive impairment in Parkinson’s disease. Movement Disorders, 29(12), 1495–1503.


    • Baggio, H.-C., Sala-Llonch, R., Segura, B., Marti, M.-J., Valldeoriola, F., Compta, Y., Tolosa, E., & Junqué, C. (2014). Functional brain networks and cognitive deficits in Parkinson’s disease. Human Brain Mapping, 35(9), 4620–4634.

Knowledge transfer & Innovation


  • Liposome-encapsulated bicelles and use thereof in diluted systems. PCT/ES2011/070128
  • Neurophysiological signatures for fibromyalgia. United States Patent. US 10.881,322 B2. Marina Lopez-Sola and Tor D. Wager