Search bioRxiv⌕ Search

Biology subjects

Morgado, P.

Publications and source records attributed to Morgado, P..

3 recordsLinked to original sources

Disrupted Higher-Order Topology in OCD Brain Networks Revealed by Hodge Laplacian - an ENIGMA Study

Brain disorders are increasingly understood as disorders of distributed brain circuits, yet functional connectivity (FC), the dominant framework for mapping them, treats the brain as a collection of pairwise relationships between regions and cannot represent pathology distributed across coordinated sets of connections. We introduce a Hodge-Laplacian topological framework that localizes higher-order "loop" (1-cycle) organization within functional connectome, maps each loop to specific edges and networks, and yields a subject-level measure of loop expression. Applied to resting-state fMRI from the ENIGMA-OCD consortium (1,024 patients and 1,028 controls across 28 sites), the framework identified 93 loop-level abnormalities in obsessive-compulsive disorder (OCD), concentrated in frontoparietal and somatomotor systems. The edges forming these loops largely showed no significant differences between groups, indicating that the abnormalities were invisible to conventional FC analysis. The frontoparietal and somatomotor loop clusters recurred across the clinical subgroups, suggesting convergence on a shared higher-order phenotype. Robustness analyses showed the loop signal reflected higher-order organization rather than an artifact of individual edges, the network backbone, or any single site. These results indicate that coordinated, multi-edge pathology exists and can be localized even when pairwise analyses fail to detect it, positioning higher-order topology as a generalizable axis for mapping circuit pathology across psychiatric and neurological disorders.

neuroscience↗

Advancing Mobile Neuroscience: A Novel Wearable Backpack for Multi-Sensor Research in Urban Environments

The rapid global urbanisation has intensified the need to understand the complex interactions and impacts that city environments have on human physical or mental health and well-being. Traditional indoor laboratory-based approaches conduct experiments in well controlled settings but, while advantageous for their controlled conditions, they often lack ecological validity. To address this gap, we present the "eMOTIONAL Cities Walker Backpack" -- a wearable unit developed for synchronously collecting multi-modal data in dynamic real-world settings. Designed for both indoor and outdoor use, the backpack integrates environmental (for microclimate, air pollution and noise) and physiological sensors (including electroencephalography, eye-tracking and wrist-based biosensors for cardiovascular monitoring) to enable the study of human experience in naturalistic urban environments. In this paper, we describe the technical specifications and implementation of this technology during outdoor acquisitions across selected urban locations in the city of Lisbon. We also highlight its potential for methodological comparison with traditional lab-based tasks (particularly through the use of equivalent sensing technologies), and thus advancing the field of translational research in mental health and urban studies.

neuroscience↗

Functional brain imaging predicts population-level visits to urban spaces

Urbanization is increasing around the world, and urban development strategies focusing on sustainability and the welfare of urban residents are needed. In response to this need, the field of neurourbanism has emerged, which leverages research on the human brain to understand and predict the influence of urban environments. For example, studying brain regions involved in reward processing and value-based decision making, such as the ventromedial prefrontal cortex (vmPFC), may help us understand how people interact with and navigate through urban environments. In this study, we aimed to ascertain whether neural activity within the vmPFC can predict population-level visits around the urban spaces of a city - in our case, Lisbon, Portugal. We used the density of photographs taken around Lisbon as a proxy measure of these visits. To do this, we created a stimulus set featuring 160 images of Lisbon sourced from the social media platform, Flickr. Then, study participants in the U.S. who had never visited Lisbon, viewed these images while we recorded their brain activity. We found that in our sample, activity in the vmPFC predicted the density of photographs taken around Lisbon, and hence, the population-level visits. Our research highlights the crucial role of the brain, especially reward-related brain regions, in shaping human behavior within urban environments. By shedding light on the neural mechanisms underlying urban behavior in humans, our research opens exciting possibilities for the future of urban planning. With this knowledge, policymakers and urban planners can potentially design cities that can promote well-being, social interaction, and sustainable living.

neuroscience↗