Jorge Garcia Condado, Hannah M Klinger, Colin Birkenbihl, I˜nigo Tellaetxe Elorriaga, Mabel Seto, Gillian T Coughlan, Michael J. Properzi, Hyun-Sik Yang, Asier Erramuzpe, Dorene M. Rentz, Aaron P. Schultz, Jasmeer P. Chhatwal, Keith A. Johnson, Jesus M Cortes, Reisa A. Sperling, Timothy J. Hohman, Michael C. Donohue, Ibai Diez, Rachel F. Buckley. BrainAge moderates associations between AD biomarkers and cognitive decline: findings from A4/LEARN and the Harvard Aging Brain Study. […]

Felipe A. Torres, Alejandro Weinstein, Jesus M. Cortes, Wael El-Deredy. Intrinsic resonance depends on network size for coupled-delayed interacting oscillators. Physical Review E. In press, 2026 [pdf] arXiv: [2511.14065v1] The collective frequency that emerges from synchronized neuronal populations—the network resonance— shows a systematic relationship with brain size: a whole-brain large network oscillates slowly, whereas finer parcellations of fixed volume exhibit faster rhythms. This resonance–size scaling has been reported in delayed […]

I. Diez, F. Garcia-Moreno, N. Carral-Sainz, S. Stramaglia, A. Nieto-Reyes, M. D’Amato, J.M. Cortes, P. Bonifazi. Connectivity of the adult human brain with sequential neurogenesis of circuits and transcriptomics signatures. Nat Comm. In press, 2026 [pdf] bioRxiv: [2022.04.01.48654] Understanding the architectural principles that shape human brain networks is a major challenge for systems neuroscience. We hypothesize that the centrality of the different brain circuits in the human connectome is a […]

Francesca Santucci, Antonio Jimenez-Marin, Andrea Gabrielli, Paolo Bonifazi, Miguel Ibáñez-Berganza, Tommaso Gili, and Jesus M. Cortes.Partial correlation as a tool for mapping functional-structural correspondence in human brain connectivity. Network Neuroscience 2025. [pdf] Abstract: Brain structure-function coupling has been studied in health and disease by many different researchers in recent years. Most of the studies have estimated functional connectivity matrices as correlation coefficients between different brain areas, despite well-known disadvantages compared […]

Clara Inesta, Beatriz Bonete-Lopez, Javier Oltra-Cucarella, Borja Camino-Pontes, Jesus M. Cortes, Juan Carlos Arango-Lasprilla, Esther Sitges-Macia. Does engagement in cognitive activities contribute to the preservation of brain structure and connectivity in older adults?. Journal of the Neurological Sciences 477: 123658, 2025 [pdf] Abstract Aging is associated with changes in brain structure and connectivity and decrements in certain cognitive abilities. The benefits of active lifestyles in the aging brain and cognition […]

Geraldine Rodríguez-Nieto, Caroline Seer, Hamed Zivari Adab, Antonio Jiménez-Marín, Sima Chalavi, Amirhossein Rasooli, Jesus M. Cortes, Stefan Sunaert, Stephan P. Swinnen. Efficiency of Structural Brain Networks Mediates Age-Associated Differences in Executive Functioning in Older Adults. Frontiers in Aging Neuroscience, 2025. [pdf] Abstract Older age is associated with alterations in executive functioning (EF). Age-related alterations in the integrity of structural brain networks may contribute to EF decline, with potential consequences for […]

Changchun He, Jesus M. Cortes, Yi Ding, Xiaolong Shan, Maoyang Zou, Heng Chen, Huafu Chen, Xianmin Wang, Xujun Duan. Brain Imaging and Behavior, 2025. [pdf] Abstract Accumulating neuroimaging evidence suggests that abnormal functional and structural brain connectivity plays a cardinal role in the pathophysiology of autism spectrum disorder (ASD). Here, we constructed brain networks of functional, structural, and morphological connectivity using data from functional magnetic resonance imaging (fMRI), diffusion tensor […]

Marlis Ontivero-Ortega, Luca Faes, Jesus M. Cortes, Daniele Marinazzo, and Sebastiano Stramaglia. Assessing high-order effects in feature importance via predictability decomposition. Physical Review 111: L033301, 2025. [pdf] Abstract Building on recent advances in describing redundancy and synergy in multivariate interactions among random variables, we propose an approach to quantify cooperative effects in feature importance, a key technique in explainable artificial intelligence. Specifically, we introduce an adaptive version of the widely […]

Asier Erramuzpe, Ane Murueta-Goyena, Antonio Jimenez-Marin, Marian Acera, Sara Teijeira-Portas, Rocío Del Pino, Tamara Fernández-Valle, Ibai Diez, Unai Sainz-Lugarezaresti, Naroa Ibarretxe-Bilbao, Unai Ayala, Maitane Barrenechea, Alberto Cabrera-Zubizarreta, Jesús Cortés, Juan Carlos Gómez-Esteban, Iñigo Gabilondo. Amygdala Neurodegeneration: A Key Driver of VisualDysfunction in Parkinson’s Disease. Ann Clin Transl Neurol 12: 768-779, 2025. [pdf] Abstract Objective: Visual disability in Parkinson’s disease (PD) is not fully explained by retinal neurodegeneration. We aimed to […]

Jorge Garcia Condado, Iñigo Tellaetxe-Elorriaga, Jesus M. Cortes, and Asier Erramuzpe. AgeML: Age Modeling With Machine Learning. IEEE Journal of Biomedical and Health Informatics: 29, 3772-3781, 2025. [pdf] Abstract An approach to age modeling involves the supervised prediction of age using machine learning from subject features. The derived age metrics are used to study the relationship between healthy and pathological aging in multiple body systems, as well as the interactions […]

Joana Garmendia, Garazi Labayru, Antonio Jiménez-Marín, Jorge Villanúa, Jesús Cortés, Adolfo López de Munain and Andone Sistiaga. Hyperconnectivity in resting-state fMRI as a marker of disease severity in Myotonic Dystrophy Type 1. J Neuromuscul Dis 2025; 12: 90–101. [pdf] Abstract Introduction: Myotonic dystrophy type 1 (DM1) patients show both structural and functional brain alterations, including abnormal resting-state (RS) functional connectivity. Although some studies have investigated RS functional connectivity in DM1, […]

Sebastiano Stramaglia, Luca Faes, Jesus M. Cortes, and Daniele Marinazzo. Disentangling high-order effects in the transfer entropy. Phys Rev Res 6, L032007 (2024). [pdf] Abstract Transfer entropy (TE), the primary method for determining directed information flow within a network system, can exhibit bias—either in deficiency or excess—during both pairwise and conditioned calculations, owing to high-order dependencies among the dynamic processes under consideration and the remaining processes in the system used […]