Neuroimaging in Degenerative Disorders
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.
Principal Investigators
Carme Junque
Full Professor
Marina Lopez-Sola
Associate Professor
Barbara Segura
Full Professor
Guadalupe Soria
Assistant Professor
Roser Sala-Llonch
Associate Professor
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
Research Team
Carme Uribe
Postdoctoral Researcher
Javier Oltra
Early Stage Researcher
Nuria Bargallo
Others
Raul Tudela
Postdoctoral Researcher
Aida Niñerola
Others
Maria Suñol
Postdoctoral Researcher
Saül Pascual-Diaz
Postdoctoral Researcher
Laura Martin-Herrero
Early Stage Researcher
Pardo-Ruiz
Early Stage Researcher
Nacho Roura
Early Stage Researcher
Capdevila
Early Stage Researcher
Cristina Martin Barcelo
Technician
Lidia Izquierdo Perálvarez
Early Stage Researcher
Angels Calvet Mirabent
Early Stage Researcher
Miguel Montero Escobedo
Early Stage Researcher
Julia Casanova-Pagola
Early Stage Researcher
Enric Abellí-Deulofeu
Early Stage Researcher
Laura Pacheco Jaime
Early Stage Researcher
Lourdes Carreras Vidal
Early Stage Researcher
Carles Falcon Falcon
Postdoctoral Researcher
Carla Garcia Vicente
Early Stage Researcher
Marc Ballestero Ribó
Early Stage Researcher
Marc Biosca Marron
Early Stage Researcher
Arnau Farré Melero
Early Stage Researcher
Active Projects
Multimodal imaging in parkinsonisms: from the molecular synaptic pruning to the whole-brain connectomics (SYNPARK)
Unió Europea. 888692. Barbara Segura.
Identifying neural pathophysiology in juvenile fibromyalgia
National Institutes of Health (NIH). 1R01AR074795-01A1 (Subaward 310178). Marina Lopez-Sola.
Fenilcetonuria: de la infantesa als adults a través del connectoma cerebral, canvis cardiovasculars, característiques metabòliques i de la microbiota intestinal
Fundació La Marató de TV3. 18/C/2020. Carme Junque.
Disseny i anàlisi de l’eficàcia d’una intervenció breu basada en una aplicació mòbil per l’autolesió: mesures d’autoinforme, momentànies i biològiques com a predictors de tractament.
Fundació La Marató de TV3. 506/U/2022. Marina Lopez-Sola.
Moldeando la conectividad cerebral para aumentar la resiliencia cognitiva en un modelo de rata transgénica de Alzheimer mediante el usode DREADDs
Ministerio de Ciencia e Innovación (MICINN). PID2022-136318OB-I00. Guadalupe Soria.
Marcadores neurocognitivos de dolor crónico y depresión: una aproximación transdiagnóstica a la medicina de precisión.
Ministerio de Ciencia e Innovación (MICINN). PID2020-117327RB-I00. Marina Lopez-Sola.
Patrones cerebrales estructurales y funcionales asociados con diferentes fenotipos cognitivos y su progresion en trastornos de la conducta del sueño REM
Ministerio de Ciencia, Innovación y Universidades. PID2020-114640GB-I00. Barbara Segura.
CogNition, emotion/behAvior, fUnctionaliTy and braIn connectivity in recovered COVID-19 patientS (NAUTILUS)
Fundació La Marató de TV3. 93/U/2021. Barbara Segura.
The sex/gender dimension in Parkinson’s disease from a whole-brain data-driven functional connectivity dynamics approach (DYNAGEND)
Agència de Gestió d'Ajuts Universitaris i de Recerca (AGAUR). 2021 BP 00071. Carme Junque.
Cambios en la conectividad cerebral funcional y estructural después de la Rehabilitación Digital en pacientes con síndrome post-COVID-19 con deterioro cognitivo
Ministerio de Ciencia e Innovación (MICINN). TED2021-130409A-C52. Barbara Segura.
Testing the accelerated aging hypothesis in schizophrenia: an epigenetic clock analysis in chronic and elderly patients: the ENCLOSE-Age Study (EpigeNetic CLOck in SchizophrEnia – in Aged adults)
Fundació La Marató de TV3. 358/U/2022. Barbara Segura.
Neuropsicologia
Agència de Gestió d'Ajuts Universitaris i de Recerca (AGAUR). 2021 SGR 00801. Carme Junque.
Bioenginyeria multiescala en processos fisiopatològics(BIOPAT)
Agència de Gestió d'Ajuts Universitaris i de Recerca (AGAUR). 2021 SGR 00523. Roser Sala-Llonch.
Localización de cambios cerebrales el la Enfermedad de Alzheimer utilizando métodos multimodales Bayesianos para establecer predicciones individuales
Ministerio de Ciencia e Innovación (MICINN). PID2020-118386RA-I00. Roser Sala-Llonch.
Conveni de col·laboració per a la realització d’un estudi sobre diferents subgrups en pacients amb la malaltia de Parkinson.
Karolinska Institutet. Carme Junque.
Marcadores cerebrales de la representación del self explican y predicen la emergencia de depresión futura en pacientes con dolor crónico
Ministerio de Ciencia, Innovación y Universidades. CNS2023-145425. Marina López Solà.
Selected publications
J. Oltra, A. Campabadal, C. Uribe, J. Pardo, I. Roura, MJ. Martí, Y. Compta, F. Valldeoriola, N. Bargallo, A. Iranzo, C. Junque, B. Segura. Cortical thickness and global atrophy progression in Parkinson’s disease with probable RBD. Mov Disord. 2023; 38 (suppl 1). https://www.mdsabstracts.org/abstract/cortical-thickness-and-global-atrophy-progression-in-parkinsons-disease-with-probable-rbd/
J. Oltra, I. Roura, A. Campabadal, C. Uribe, J. Pardo, MJ. Martí, Y. Compta, F. Valldeoriola, N. Bargallo, A. Iranzo, C. Junque, B. Segura. Impaired structural connectivity in Parkinson’s disease with probable RBD. Mov Disord. 2023; 38 (suppl 1). https://www.mdsabstracts.org/abstract/impaired-structural-connectivity-in-parkinsons-disease-with-probable-rbd/
Ariza, M., Béjar, J., Barrué, C., Cano, N., Segura, B., Bernia, J. A., Arauzo, V., Balague-Marmaña, M., Pérez-Pellejero, C., Cañizares, S., Muñoz, J. A. L., Caballero, J., Carnes-Vendrell, A., Piñol-Ripoll, G., Gonzalez-Aguado, E., Riera-Pagespetit, M., Forcadell-Ferreres, E., Reverte-Vilarroya, S., Forné, S., … Garolera, M. (2024). Cognitive reserve, depressive symptoms, obesity, and change in employment status predict mental processing speed and executive function after COVID-19. European Archives of Psychiatry and Clinical Neuroscience. https://doi.org/10.1007/s00406-023-01748-x
Ariza, M., Cano, N., Segura, B., Adan, A., Bargalló, N., Caldú, X., Campabadal, A., Jurado, M. A., Mataró, M., Pueyo, R., Sala-Llonch, R., Barrué, C., Bejar, J., Cortés, C. U., Bernia, J. A., Arauzo, V., Balague-Marmaña, M., Valles-Pauls, B., Caballero, J., … Junqué, C. (2023). COVID-19 severity is related to poor executive function in people with post-COVID conditions. Journal of Neurology, 270(5), 2392–2408. https://doi.org/10.1007/s00415-023-11587-4
Ariza, M., Cano, N., Segura, B., Bejar, J., Barrué, C., Cortés, C. U., Junqué, C., & Garolera, M. (2024). Cognitive and emotional predictors of quality of life and functioning after COVID‐19. Annals of Clinical and Translational Neurology, 11(2), 302–320. https://doi.org/10.1002/acn3.51952
Conde-Berriozabal, S., García-Gilabert, L., García-García, E., Sitjà-Roqueta, L., López-Gil, X., Muñoz-Moreno, E., Boutagouga Boudjadja, M., Soria, G., Rodríguez, M. J., Alberch, J., & Masana, M. (2023). M2 Cortex Circuitry and Sensory-Induced Behavioral Alterations in Huntington’s Disease: Role of Superior Colliculus. The Journal of Neuroscience, 43(18), 3379–3390. https://doi.org/10.1523/JNEUROSCI.1172-22.2023
Grandjean, J., Desrosiers-Gregoire, G., Anckaerts, C., Angeles-Valdez, D., Ayad, F., Barrière, D. A., Blockx, I., Bortel, A., Broadwater, M., Cardoso, B. M., Célestine, M., Chavez-Negrete, J. E., Choi, S., Christiaen, E., Clavijo, P., Colon-Perez, L., Cramer, S., Daniele, T., Dempsey, E., … Hess, A. (2023). A consensus protocol for functional connectivity analysis in the rat brain. Nature Neuroscience, 26(4), 673–681. https://doi.org/10.1038/s41593-023-01286-8
Inguanzo, A., Poulakis, K., Mohanty, R., Schwarz, C. G., Przybelski, S. A., Diaz-Galvan, P., Lowe, V. J., Boeve, B. F., Lemstra, A. W., van de Beek, M., van der Flier, W., Barkhof, F., Blanc, F., Loureiro de Sousa, P., Philippi, N., Cretin, B., Demuynck, C., Nedelska, Z., Hort, J., … Ferreira, D. (2023). MRI data-driven clustering reveals different subtypes of Dementia with Lewy bodies. Npj Parkinson’s Disease, 9(1), 5. https://doi.org/10.1038/s41531-023-00448-6
Ligero, M., Simó, M., Carpio, C., Iacoboni, G., Balaguer‐Montero, M., Navarro, V., Sánchez‐Salinas, M. A., Bobillo, S., Marín‐Niebla, A., Iraola‐Truchuelo, J., Abrisqueta, P., Sala‐Llonch, R., Bosch, F., Perez‐Lopez, R., & Barba, P. (2023). PET‐based radiomics signature can predict durable responses to CAR T‐cell therapy in patients with large B‐cell lymphoma. EJHaem, 4(4), 1081–1088. https://doi.org/10.1002/jha2.757
Oltra, J., Habich, A., Schwarz, C. G., Nedelska, Z., Przybelski, S. A., Inguanzo, A., Diaz‐Galvan, P., Lowe, V. J., Oppedal, K., Gonzalez, M. C., Philippi, N., Blanc, F., Barkhof, F., Lemstra, A. W., Hort, J., Padovani, A., Rektorova, I., Bonanni, L., Massa, F., … Ferreira, D. (2024). Sex differences in brain atrophy in dementia with Lewy bodies. Alzheimer’s & Dementia, 20(3), 1815–1826. https://doi.org/10.1002/alz.13571
Pérez-Millan, A., Borrego-Écija, S., van Swieten, J. C., Jiskoot, L., Moreno, F., Laforce, R., Graff, C., Masellis, M., Tartaglia, M. C., Rowe, J. B., Borroni, B., Finger, E., Synofzik, M., Galimberti, D., Vandenberghe, R., de Mendonça, A., Butler, C. R., Gerhard, A., Ducharme, S., … Borracci, V. (2023). Loss of brainstem white matter predicts onset and motor neuron symptoms in C9orf72 expansion carriers: a GENFI study. Journal of Neurology, 270(3), 1573–1586. https://doi.org/10.1007/s00415-022-11435-x
Pérez‐Millan, A., Contador, J., Juncà‐Parella, J., Bosch, B., Borrell, L., Tort‐Merino, A., Falgàs, N., Borrego‐Écija, S., Bargalló, N., Rami, L., Balasa, M., Lladó, A., Sánchez‐Valle, R., & Sala‐Llonch, R. (2023). Classifying Alzheimer’s disease and frontotemporal dementia using machine learning with cross‐sectional and longitudinal magnetic resonance imaging data. Human Brain Mapping, 44(6), 2234–2244. https://doi.org/10.1002/hbm.26205
Pinto, A. M., Geenen, R., Wager, T. D., Wager, T. D., Lumley, M. A., Häuser, W., Kosek, E., Ablin, J. N., Amris, K., Branco, J., Buskila, D., Castelhano, J., Castelo-Branco, M., Crofford, L. J., Fitzcharles, M.-A., López-Solà, M., Luís, M., Marques, T. R., Mease, P. J., Palavra, F., … da Silva, J. A. P. (2023). Reply to ‘Imbalance of threat and soothing systems in fibromyalgia: rephrasing an established mechanistic model?’ Nature Reviews Rheumatology, 19(5), 319–320. https://doi.org/10.1038/s41584-023-00950-4
Pinto, A. M., Geenen, R., Wager, T. D., Lumley, M. A., López-Solà, M., Luís, M., Marques, T. R., Mease, P. J., Palavra, F., … da Silva, J. A. P. (2023). Reply to: Hypothetical model ignores many important pathophysiologic mechanisms in fibromyalgia. Nature Reviews Rheumatology, 19(5), 322–323. https://doi.org/10.1038/s41584-023-00952-2
Tong, H., Maloney, T. C., Payne, M. F., Suñol, M., Dudley, J. A., King, C. D., Ting, T. V., Kashikar-Zuck, S., Coghill, R. C., & López-Solà, M. (2023). Augmented pain-evoked primary sensorimotor cortex activation in adolescent girls with juvenile fibromyalgia. Pain, 164(10), 2316–2326. https://doi.org/10.1097/j.pain.0000000000002933