Quantitative Psychology
The study of brain connectivity is one of the main challenges when studying the active brain. Brain connectivity is operationally defined as the estimation of the relation between brain areas (regions of interest, ROIs, or Volumes of interest, VOIs); these relations are established when a specific cognitive task is being solved or when resting. In order to estimate the connectivity, different brain signals can be used, each of which has different neurofucntional properties. One of the signals showing great ability to represent the active brain is the BOLD signal, obtained when using functional magnetic resonance imaging (fMRI). What is registered is the modification of the magnetic field that takes place due to the increment of the presence of oxygen is certain brain areas when these are activated during a cognitive task. When the brain is resting, the signal shows the basal state used as a reference.
Principal Investigators
Joan Guardia-Olmos
Full Professor
Maria De Les Salines Carbo
Assistant Professor
Technologies & Methods
- Generation of statistical advanced models applied to the big data structures and brain signal
- Psychometric technology
- Advanced Multivariate Analysis
Research Team
Maribel Peró-Cebollero
Full Professor
Vicente Quera
Full Professor
Francesc Salvador
Full Professor
Antonio Solanas
Full Professor
David Leiva
Associate Professor
Rumen Rumenov
Associate Professor
Ruth Dolado
Assistant Professor
Montserrat Colell Mimo
Full Professor
Isabel Paula Pérez
Associate Professor
Jaume Turbany-Oset
Associate Professor
Alba Pérez-González
Assistant Professor
Albert Sánchez-Niubó
Assistant Professor
Lluís Salafranca-Cosialls
Associate Professor
Jordi Fauquet-Ars
Associate Professor
Jordi Galvany-Casals
Lecturer
Raquel Adriana Hernández-Aguilar
Assistant Professor
Joan Trujols-Albet
Researcher
Mercedes Mayo-Alesón
Lecturer
Álvaro López-Caicoya
Early Stage Researcher
Angélica Maritza Betancourt-Suárez
Postdoctoral Researcher
Active Projects
Discapacidad Intelectual y Calidad de Vida: Diseño y Evaluación de los Planes de Apoyo Personales
Fundació Caixa de Pensions 'La Caixa'. CX22-00171. Maria De Les Salines.
Psicologia Quantitativa
Agència de Gestió d'Ajuts Universitaris i de Recerca (AGAUR). 2021 SGR 00366. Joan.
Qualitat de Vida Familiar (QdVF) de l’estudiantat universitari: relació amb el rendiment acadèmic
Institut de Ciències de l'Educació (ICE) - Universitat de Barcelona (UB). REDICE22-3362. Maria De Les Salines.
Selected publications
Amador-Campos, J. A., Peró-Cebollero, M., Feliu-Torruella, M., Pérez-González, A., Cañete-Massé, C., Jarne-Esparcia, A. J., Triadó-Ivern, X., & Guàrdia-Olmos, J. (2023). Mentoring and Research Self-Efficacy of Doctoral Students: A Psychometric Approach. Education Sciences, 13(4), 358. https://doi.org/10.3390/educsci13040358
Berger, R., Glazer, S., & Leiva, D. (2023). Leaders Condition the Work Experience: A Test of a Job Resources-Demands Model Invariance in Two Countries. Journal of Nursing Management, 2023, 1–11. https://doi.org/10.1155/2023/1353289
Cañete-Massé, C., Carbó-Carreté, M., Peró-Cebollero, M., Cui, S.-X., Yan, C.-G., & Guàrdia-Olmos, J. (2023). Abnormal degree centrality and functional connectivity in Down syndrome: A resting-state fMRI study. International Journal of Clinical and Health Psychology, 23(1), 100341. https://doi.org/10.1016/j.ijchp.2022.100341
Falcó‐Pegueroles, A., Bosch‐Alcaraz, A., Terzoni, S., Fanari, F., Viola, E., Via‐Clavero, G., Hoyo, S. G., Parini, A. M., Poveda‐Moral, S., Parozzi, M., Guàrdia‐Olmos, J., & Bonetti, L. (2023). COVID ‐19 pandemic experiences, ethical conflict and decision‐making process in critical care professionals ( Quali‐Ethics‐COVID ‐19 research part 1): An international qualitative study. Journal of Clinical Nursing, 32(15–16), 5185–5200. https://doi.org/10.1111/jocn.16633
Léniz-Maturana, L., Vilaseca, R., & Leiva, D. (2023). Non-Intrusive Maternal Style as a Mediator between Playfulness and Children’s Development for Low-Income Chilean Adolescent Mothers. Children, 10(4), 609. https://doi.org/10.3390/children10040609
Manolov, R. (2023). Does the choice of a linear trend-assessment technique matter in the context of single-case data? Behavior Research Methods, 55(8), 4200–4221. https://doi.org/10.3758/s13428-022-02013-0
Manolov, R., Onghena, P., & Van den Noortgate, W. (2023). Meta-analysis of single-case experimental designs: How can alternating treatments and changing criterion designs be included? Evidence-Based Communication Assessment and Intervention, 17(1), 31–58. https://doi.org/10.1080/17489539.2022.2040164
Manolov, R., & Vannest, K. J. (2023). A Visual Aid and Objective Rule Encompassing the Data Features of Visual Analysis. Behavior Modification, 47(6), 1345–1376. https://doi.org/10.1177/0145445519854323
Montalà-Flaquer, M., Cañete-Massé, C., Vaqué-Alcázar, L., Bartrés-Faz, D., Peró-Cebollero, M., & Guàrdia-Olmos, J. (2023). Spontaneous brain activity in healthy aging: An overview through fluctuations and regional homogeneity. Frontiers in Aging Neuroscience, 14. https://doi.org/10.3389/fnagi.2022.1002811
Rivero, M., Vilaseca, R., Cantero, M.-J., Valls-Vidal, C., & Leiva, D. (2023). Relations between Positive Parenting Behavior during Play and Child Language Development at Early Ages. Children, 10(3), 505. https://doi.org/10.3390/children10030505
Tanious, R., & Manolov, R. (2023). A practitioner’s guide to conducting and analysing embedded randomized single-case experimental designs. Neuropsychological Rehabilitation, 33(4), 613–645. https://doi.org/10.1080/09602011.2022.2035774