Pablo Fernandez Garrido

• Kransberg, Jonas Moe; Bråthen, Anne Cecilie Sjøli; Falch, Emilie Sogn; Øverbye, Knut Eiliv Ødegård; Garrido, Pablo F. & Fjell, Anders Martin [Show all 10 contributors for this article] (2026). Failure to detect entorhinal grid-like signals in a passive navigation human fMRI study. Imaging Neuroscience. 4. doi: 10.1162/imag.a.1196. Full text in Research Archive Show summary

  Abstract Grid cells in the human entorhinal cortex (EC) play a critical role in spatial navigation and memory. The EC is also one of the first regions affected by ageing and Alzheimer’s disease. This pre-registered functional magnetic resonance imaging (fMRI) study aimed to detect grid-cell-like signals (GLS) in a passive virtual navigation task. Contrary to our hypotheses and previous findings, we did not observe significant GLS at a population level, even in younger participants. Further exploratory analyses investigated the impact of task-engagement, as inferred from object-location memory performance, and showed no relationship with GLS magnitude. We also examined potential influences of a confounding one-fold directional signal and various data-processing choices but observed no consistent patterns. Our findings, consistent with recent null results from similar studies, suggest that passive navigation paradigms may be insufficient for reliably eliciting grid-like signals in human fMRI.

• Roe, James Michael; J., Jagust, William; M., Landau, Susan; M., Harrison, Theresa; Grydeland, Håkon & Slivka, Maksim [Show all 19 contributors for this article] (2026). Cortical thickness changes precede high levels of amyloid by at least 7 years | Nature Neuroscience. Nature Neuroscience. ISSN 1097-6256. doi: 10.1038/s41593-026-02363-4. Full text in Research Archive Show summary

  Alzheimer’s disease is now defined by underlying pathology, with elevated amyloid-beta (Aβ) sufficient for diagnosis in the absence of cognitive symptoms. We combined longitudinal magnetic resonance imaging and Aβ positron emission tomography data from three cognitively healthy cohorts to examine cortical thickness trajectories in individuals who later converted to Aβ-positive status, using magnetic resonance images acquired years before conversion. Individuals who subsequently developed elevated Aβ showed a thicker cortex and reduced cortical thinning, detectable up to 7 years before conversion. Many effects persisted after accounting for quantitative Aβ levels, suggesting some cortical thickness changes may be partly independent of Aβ. Differences in cortical thickness and its change showed moderate spatial correspondence with Aβ deposition patterns, and the timing of thickness changes tracked the progression of Aβ accumulation. These findings indicate that cortical thickness alterations can precede positron emission tomography-detectable amyloid positivity by several years, suggesting high amyloid burden may not represent the earliest imaging marker of Alzheimer’s disease. Longitudinal MRI reveals that the cortex becomes relatively thicker years before amyloid positivity is detected on PET, providing insight into the earliest brain changes and potential consequences of amyloid accumulation in Alzheimer’s disease.

• Walhovd, Kristine B; Bråthen, Anne Cecilie Sjøli; Øverbye, Knut Eiliv Ødegård; Kransberg, Jonas Moe; Sørensen, Øystein & Garrido, Pablo F. [Show all 19 contributors for this article] (2026). Feature-specific environmental contributions to human cortical architecture revealed by twin brainprints. Communications Biology. doi: 10.1038/s42003-026-10707-w. Full text in Research Archive Show summary

  Abstract How environmental variation shapes the human cerebral cortex remains incompletely understood. Here we compare cortical brainprints – individual profiles of regional cortical morphology – in 210 twins (age 16-78 years) to distinguish prenatal, adult naturalistic and experimentally induced environmental variation from genetic contributions. Monozygotic twins showed higher brainprint similarity than dizygotic twins, consistent with genetic effects. Lasting influences of early environment were evident in lower brainprint similarity in monozygotic twin-pairs with greater birthweight discordances, driven by surface area across the cortical ribbon. In contrast, within-pair differences in adult weight and lifestyle had minimal influence. Still, a 10-week virtual-reality navigation intervention revealed training-induced changes in the gray-white interface, with curvature and area changes supported by microstructural reconfigurations. Relative brainprint similarity increased in monozygotic but diverged in dizygotic pairs following training. These findings show that distinct environmental influences acting at prenatal and adult stages are reflected in different features of the human cerebral cortex.

• Hermoso-Durán, Sonia; Johansen, Astrid Zedlitz; Johansen, Julia Sidenius; Feltoft, Claus Larsen; Hansen, Carsten Palnæs & Falcó-Martí, Francisco Javier [Show all 14 contributors for this article] (2026). Machine learning integration of thermal liquid biopsy and clinical biomarkers for pancreatic cancer diagnosis and prognosis: A retrospective cohort study. Intelligent medicine. ISSN 2667-1026. doi: 10.1016/j.imed.2026.07.002. Full text in Research Archive
• Hermoso-Durán, Sonia; Ortega-Alarcon, David; Johansen, Astrid Z.; McKay, Mattew J.; Johansen, Julia S. & Vega, Sonia [Show all 16 contributors for this article] (2026). Integrating thermal liquid biopsy, clinical data, and mass spectrometry for early diagnosis and biomarker discovery in colorectal cancer. iScience. 29(2). doi: 10.1016/j.isci.2026.114751. Full text in Research Archive Show summary

  Early detection of colorectal cancer is essential to improving survival, where yet current diagnostic tools show limited performance. This study aimed to enhance diagnostic accuracy by integrating clinical variables with thermogram profiles obtained through serum-based thermal liquid biopsy and analyzed using machine learning models. We evaluated 328 patients with colorectal cancer and 355 symptomatic individuals with non-organ-specific cancer signs but negative diagnostic evaluations, to reproduce clinically relevant decision settings. The combined model showed improved classification performance compared with the use of clinical variables alone, particularly in patients with early-stage disease. In addition, proteomic analysis of samples stratified by thermogram patterns identified proteins associated with survival, including fibrinogen-like protein 1, supporting the biological relevance of these thermodynamic profiles. Together, these findings indicate that integrating serum thermogram information with routine clinical data can modestly strengthen diagnostic assessment and help identify biologically meaningful patient subgroups, offering a promising non-invasive colorectal cancer evaluation.

• Grødem, Edvard Olaf Sætersdal; Pineiro, Didac Vidal; Sørensen, Øystein; Bartrés-Faz, David; Brandmaier, Andreas M. & Cattaneo, Gabriele [Show all 20 contributors for this article] (2026). Stable individual differences dominate adult brain volume variation until later life. Imaging Neuroscience. 4. doi: 10.1162/IMAG.a.1242. Full text in Research Archive
• Garrido, Pablo Fernandez; Bråthen, Anne Cecilie Sjøli; Falch, Emilie Sogn; Kransberg, Jonas Moe; Fjell, Anders Martin & Sørensen, Øystein [Show all 7 contributors for this article] (2026). Unwrapping the mirror tracing task. Behavior Research Methods. ISSN 1554-351X. 58. doi: 10.3758/s13428-025-02845-6. Full text in Research Archive Show summary

  The Mirror Tracing Task (MTT) is a method used to study visuomotor skills learning. It is traditionally evaluated by counting the number of times a person draws outside of the borders of a figure, typically a star, while looking at its mirror reflection. While insightful for overall performance, this metric lacks a precise analysis of the tracing, such as details on errors in specific regions. We propose a new MTT analysis method that studies the drawing as a function of the angle around the figure’s center. Two new variables are introduced: residuals, which measure deviation from the ideal drawing, and density, which measures how often a specific path is retraced. These variables are defined per angle or region, allowing a more detailed analysis, highlighting the most challenging parts of the drawing for each person, and enabling comparison across trials or finding common patterns between individuals. We applied this approach to the first MTT trial of 210 participants using age as a variable of interest. Residuals and density were summarized as a single value and compared with the traditional approach, providing similar results. When analyzed as a function of the angle, these variables enabled the identification of specific regions of the star where the errors are age-sensitive. Additionally, a time series-like approach enabled us to cluster drawings and quantify their similarity. The code used for this new method has been made openly accessible to make it easier for its applications in new research or the reanalysis of previous projects.

• Ravndal, Anne; Fjell, Anders Martin; Vidal-Piñeiro, Didac; Sørensen, Øystein; Falch, Emilie Sogn & Kropiunig, Julia [Show all 21 contributors for this article] (2025). Sex differences in healthy brain aging are unlikely to explain higher Alzheimer’s disease prevalence in women. Proceedings of the National Academy of Sciences of the United States of America (PNAS). ISSN 0027-8424. 122(42). doi: 10.1073/pnas.2510486122. Full text in Research Archive Show summary

  As Alzheimer’s disease (AD) is diagnosed more frequently in women, understanding the role of sex has become a key priority in AD research. However, despite aging being the primary risk factor for AD, it remains unclear whether men and women differ in the extent of brain decline with age. Using 12,638 longitudinal brain MRIs from 4,726 participants aged 17 to 95 y across 14 cohorts, we examined sex differences in structural brain changes over time, controlling for differences in head size. Men showed greater cortical thickness (CT) decline in the cuneus, lingual, parahippocampal, and pericalcarine regions; surface area decline in the fusiform and postcentral regions; and in older adults, greater subcortical decline in the caudate, nucleus accumbens, putamen, and pallidum. In contrast, women only showed greater surface area decline in the banks of the superior temporal sulcus and greater ventricular expansion in older adults. These results suggest that sex differences in age-related brain decline are unlikely to contribute to the higher AD diagnosis prevalence in women, necessitating research into alternative explanations.

• Vidal-Piñeiro, Didac; Sørensen, Øystein; Strømstad, Marie Lorentsen; Amlien, Inge; Anderson, Micael & Baaré, William F.C. [Show all 25 contributors for this article] (2025). Reliability of structural brain change in cognitively healthy adult samples. Imaging Neuroscience. 3, p. 1–25. doi: 10.1162/imag_a_00547. Full text in Research Archive Show summary

  In neuroimaging research, tracking individuals over time is key to understanding the interplay between brain changes and genetic, environmental, or cognitive factors across the lifespan. Yet, the extent to which we can estimate the individual trajectories of brain change over time with precision remains uncertain. In this study, we estimated the reliability of structural brain change in cognitively healthy adults from multiple samples and assessed the influence of follow-up time and number of observations. Estimates of cross-sectional measurement error and brain change variance were obtained using the longitudinal FreeSurfer processing stream. Our findings showed, on average, modest longitudinal reliability with 2 years of follow-up. Increasing the follow-up time was associated with a substantial increase in longitudinal reliability, while the impact of increasing the number of observations was comparatively minor. On average, 2-year follow-up studies require ≈2.7 and ≈4.0 times more individuals than designs with follow-ups of 4 and 6 years to achieve comparable statistical power. Subcortical volume exhibited higher longitudinal reliability than cortical area, thickness, and volume. The reliability estimates were comparable with those estimated from empirical data. The reliability estimates were affected by both the cohort’s age where younger adults had lower reliability of change and the preprocessing pipeline where the FreeSurfer’s longitudinal stream was notably superior than the cross-sectional stream. Suboptimal reliability inflated sample size requirements and compromised the ability to distinguish individual trajectories of brain aging. This study underscores the importance of long-term follow-ups and the need to consider reliability in longitudinal neuroimaging research.

• Padrela, Beatriz E.; Slivka, Maksim; Sneve, Markus Handal; Garrido, Pablo F.; Dijsselhof, Mathijs B.J. & Hageman, Tamara [Show all 18 contributors for this article] (2025). Blood-brain barrier water permeability across the adult lifespan: A multi-echo ASL study. Neurobiology of Aging. ISSN 0197-4580. 147, p. 176–186. doi: 10.1016/j.neurobiolaging.2024.12.012. Full text in Research Archive
• Seco-González, Alejandro; Antelo-Riveiro, Paula; Bravo, Susana B.; Garrido, Pablo F.; Domínguez-Santalla, M. J. & Rodríguez-Ruiz, Emilio [Show all 8 contributors for this article] (2024). Proteomic analysis of Post-COVID Condition: Insights from plasma and pellet blood fractions. Journal of Infection and Public Health. ISSN 1876-0341. 17(12). doi: 10.1016/j.jiph.2024.102571. Full text in Research Archive Show summary

  Background Persistent symptoms extending beyond the acute phase of SARS-CoV-2 infection, known as Post-COVID condition (PCC), continue to impact many individuals years after the COVID-19 pandemic began. This highlights an urgent need for a deeper understanding and effective treatments. While significant progress has been made in understanding the acute phase of COVID-19 through omics-based approaches, the proteomic alterations linked to the long-term effects of the infection remain underexplored. This study aims to investigate these proteomic changes and develop a method for stratifying disease severity. Methods Using Sequential Window Acquisition of All Theoretical Fragment Ion Mass Spectra (SWATH-MS) technology, we performed comprehensive proteomic profiling of blood samples from 65 PCC patients. Both plasma and pellet (cellular components) fractions were analyzed to capture a wide array of proteomic changes associated with PCC. Results Proteomic profiling revealed distinct differences between symptomatic and asymptomatic PCC patients. In the plasma fraction, symptomatic patients exhibited significant upregulation of proteins involved in coagulation, immune response, oxidative stress, and various metabolic processes, while certain immunoglobulins and proteins involved in cellular stress responses were downregulated. In the pellet fraction, symptomatic patients showed upregulation of proteins related to immune response, coagulation, oxidative stress, and metabolic enzymes, with downregulation observed in components of the complement system, glycolysis enzymes, and cytoskeletal proteins. A key outcome was the development of a novel severity scale based on the concentration of identified proteins, which correlated strongly with the clinical symptoms of PCC. This scale, derived from unsupervised clustering analysis, provides precise quantification of PCC severity, enabling effective patient stratification. Conclusions The identified proteomic alterations offer valuable insights into the molecular mechanisms underlying PCC, highlighting potential biomarkers and therapeutic targets. This research supports the development of tailored clinical interventions to alleviate persistent symptoms, ultimately enhancing patient outcomes and quality of life. The quantifiable measure of disease severity aids clinicians in understanding the condition in individual patients, facilitating personalized treatment plans and accurate monitoring of disease progression and response to therapy.

• Hermoso-Duran, Sonia; Fraunhoffer, Nicolas; Millastre-Bocos, Judith; Sanchez-Gracia, Oscar; Garrido, Pablo F. & Vega, Sonia [Show all 10 contributors for this article] (2024). Development of a Machine-Learning Model for Diagnosis of Pancreatic Cancer from Serum Samples Analyzed by Thermal Liquid Biopsy. Advanced Intelligent Systems. 7. doi: 10.1002/aisy.202400308. Full text in Research Archive Show summary

  Pancreatic ductal adenocarcinoma (PDAC) poses a considerable diagnostic and therapeutic challenge due to the lack of specific biomarkers and late diagnosis. Early detection is crucial for improving prognosis, but current techniques are insufficient. An innovative approach based on differential scanning calorimetry (DSC) of blood serum samples, thermal liquid biopsy (TLB), combined with machine-learning (ML) analysis, may offer a more efficient method for diagnosing PDAC. Serum samples from a cohort of 212 PDAC patients and 184 healthy controls are studied. DSC thermograms are analyzed using ML models. The generated models are built applying algorithms based on penalized regression, resampling, categorization, cross validation, and variable selection. The ML-based model demonstrates outstanding ability to discriminate between PDAC patients and control subjects, with a sensitivity of 90% and an area under the ROC receiver operating characteristic curve of 0.83 in the training and test groups. Application of the model to an independent validation cohort of 113 PDAC patients confirms its robustness and utility as a diagnosis tool. The application of ML to serum TLB data emerges as a promising methodology for early diagnosis, representing a significant advance for detecting and managing PDAC, envisaging a minimally invasive and more efficient methodology for identifying biomarkers.

• Garrido, Pablo F.; Castillo-Peinado, L. S.; Priego-Capote, F.; Barrio, Irantzu; Piñeiro, Ángel & Domínguez-Santalla, M. J. [Show all 8 contributors for this article] (2024). Lipidomics signature in post-COVID patient sera and its influence on the prolonged inflammatory response. Journal of Infection and Public Health. ISSN 1876-0341. doi: 10.1016/j.jiph.2024.01.017. Full text in Research Archive
• Garrido, Pablo F.; Bastos, Margarida; Velazquez-Campoy, Adrian; Amigo, Alfredo; Dumas, Philippe & Piñeiro, Ángel (2022). Unsupervised bubble calorimetry analysis: Surface tension from isothermal titration calorimetry. Journal of Colloid and Interface Science. ISSN 0021-9797. 606, p. 1823–1832. doi: 10.1016/j.jcis.2021.08.115. Full text in Research Archive
• Suárez-Lestón, Fabián; Garrido, Pablo F.; Piñeiro, Ángel & Garcia-Fandino, Rebeca (2022). Not so rigid capsids based on cyclodextrin complexes: Keys to design. Journal of Colloid and Interface Science. ISSN 0021-9797. 623, p. 938–946. doi: 10.1016/j.jcis.2022.05.098. Full text in Research Archive
• Conde, Daniel; Garrido, Pablo F.; Calvelo, Martín; Piñeiro, Ángel & Garcia-Fandino, Rebeca (2022). Molecular Dynamics Simulations of Transmembrane Cyclic Peptide Nanotubes Using Classical Force Fields, Hydrogen Mass Repartitioning, and Hydrogen Isotope Exchange Methods: A Critical Comparison. International Journal of Molecular Sciences. ISSN 1661-6596. 23(6). doi: 10.3390/ijms23063158. Full text in Research Archive
• Garrido, Pablo F.; Bastos, Margarida; Velazquez-Campoy, Adrian; Dumas, Philippe & Piñeiro, Ángel (2021). Fluid interface calorimetry. Journal of Colloid and Interface Science. ISSN 0021-9797. 596, p. 119–129. doi: 10.1016/j.jcis.2021.03.098. Full text in Research Archive
• Blanco-González, Alexandre; Calvelo, Martín; Garrido, Pablo F.; Amorín, Manuel; Granja, Juan R. & Piñeiro, Ángel [Show all 7 contributors for this article] (2021). Transmembrane Self-Assembled Cyclic Peptide Nanotubes Based on α‐Residues and Cyclic δ‐Amino Acids: A Computational Study. Frontiers in Chemistry. 9. doi: 10.3389/fchem.2021.704160. Full text in Research Archive
• Chiodini, Stefano; Stoliar, Pablo; Garrido, Pablo F. & Albonetti, Cristiano (2021). Differential Entropy: An Appropriate Analysis to Interpret the Shape Complexity of Self-Similar Organic Islands. Materials. 14(21). doi: 10.3390/ma14216529. Full text in Research Archive
• Garrido, Pablo F.; Rodríguez-Dafonte, Pedro; García-Río, Luis & Piñeiro, Ángel (2021). Simple ApproximaTion for Aggregation Number Determination by Isothermal Titration Calorimetry: STAND-ITC. Langmuir. ISSN 0743-7463. 37(40), p. 11781–11792. doi: 10.1021/acs.langmuir.1c01727. Full text in Research Archive
• Garrido, Pablo F.; Calvelo, Martín; Garcia-Fandino, Rebeca & Piñeiro, Ángel (2020). Rings, Hexagons, Petals, and Dipolar Moment Sink-Sources: The Fanciful Behavior of Water around Cyclodextrin Complexes. Biomolecules. 10(3). doi: 10.3390/biom10030431. Full text in Research Archive
• Garrido, Pablo F.; Calvelo, Martín; Blanco-González, Alexandre; Veleiro, Uxía; Suárez, Fabián & Conde, Daniel [Show all 9 contributors for this article] (2020). The Lord of the NanoRings: Cyclodextrins and the battle against SARS-CoV-2. International Journal of Pharmaceutics. ISSN 0378-5173. 588. doi: 10.1016/j.ijpharm.2020.119689. Full text in Research Archive
• Piñeiro, Ángel; Muñoz, Eva; Sabín, Juan; Costas, Miguel; Bastos, Margarida & Velazquez-Campoy, Adrian [Show all 15 contributors for this article] (2019). AFFINImeter: A software to analyze molecular recognition processes from experimental data. Analytical Biochemistry. ISSN 0003-2697. 577, p. 117–134. doi: 10.1016/j.ab.2019.02.031. Full text in Research Archive
• Castro, Goretti; Garrido, Pablo F.; Amigo, Alfredo & Brocos, Pilar (2018). Boosting the use of thermoacoustimetry in micellization thermodynamics studies by easing an objective determination of the cmc. Fluid Phase Equilibria. ISSN 0378-3812. 478. doi: 10.1016/j.fluid.2018.08.011. Full text in Research Archive
• Garrido, Pablo F.; Brocos, Pilar; Amigo, Alfredo; García-Río, Luis; Gracia-Fadrique, Jesús & Piñeiro, Ángel (2016). STAND: Surface Tension for Aggregation Number Determination. Langmuir. ISSN 0743-7463. 32(16), p. 3917–3925. doi: 10.1021/acs.langmuir.6b00477. Full text in Research Archive

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• Garrido, Pablo F. (2026). Reproducibility of quantitative methods​. Full text in Research Archive
• Garrido, Pablo F.; Walhovd, Kristine B; Krogsrud, Stine Kleppe & Fjell, Anders Martin (2026). Hippocampal volume measured from early childhood to adolescence predicts virtual navigation up to 16 years later. doi: https:/www.inavsymposium.com/wp-content/uploads/2026/07/iNAV2026_Poster_Abstracts_V2.pdf. Full text in Research Archive Show summary

  Poster presentation

• Walhovd, Kristine B; Sneve, Markus Handal; Garrido, Pablo F.; Kransberg, Jonas Moe & Fjell, Anders Martin (2026). Navigation training alters twin cortical similarity at the gray-white matter boundary. doi: https:/www.humanbrainmapping.org/aperture-neuro/. Full text in Research Archive Show summary

  Talk at OHBM 2026

• Raud, Liisa; Garrido, Pablo F.; Slivka, Maksim; Iversen, Johanne Bjørndal & Grydeland, Håkon (2026). Forskningstorget 2026 i Teknisk Museum. doi: https:/www.med.uio.no/om/aktuelt/aktuelle-saker/2026/forskningstorget-2026. Full text in Research Archive Show summary

  LCBC bod med mock-MR scanner, skin conductance og hjernemodeller

• Garrido, Pablo F.; Øverbye, Knut Eiliv Ødegård; Kransberg, Jonas Moe; Barhaug, Eline; Eggset, Marie & Iversen, Johanne Bjørndal [Show all 8 contributors for this article] (2026). Emerging navigation behaviors in a VR city: unsupervised strategy detection in an adult twin cohort. Full text in Research Archive
• Slivka, Maksim; Garrido, Pablo F. & Walhovd, Kristine B (2025). Persistent cortical differences in adults with prenatal polydrug and opioid exposure: A longitudinal study from childhood to adulthood. Full text in Research Archive Show summary

  Poster presentation at FENS Regional Meeting 2025

• Garrido, Pablo F. (2025). Turn to polar: how a change of coordinates extends the analysis of the Mirror Tracing Task. doi: https:/www.sv.uio.no/psi/english/research/groups/lcbc/events/norwegian-psychometrics-gathering.html. Full text in Research Archive
• Garrido, Pablo F. (2025). Physics meets Cognition​. doi: https:/www.ieno.no/en/noticias-en/tapas-of-science-xii/. Full text in Research Archive
• Garrido, Pablo F. (2025). How physics can be used to understand cognition. Full text in Research Archive
• Grødem, Edvard Olaf Sætersdal; Vidal-Piñeiro, Didac; Sørensen, Øystein; Garrido, Pablo F.; Nyberg, Lars Erik & Walhovd, Kristine B [Show all 8 contributors for this article] (2025). Distinguishing Lifelong Individual Differences from Divergent Aging Trajectories of Adult Brain Volumes. bioRxiv (preprint article). 2025.05.26.655710. doi: 10.1101/2025.05.26.655710. Full text in Research Archive
• Garrido, Pablo F. (2025). Emerging navigation behaviors in a VR city: insights from a cognitive intervention in a twin cohort. Full text in Research Archive
• Garrido, Pablo F. (2025). Physics and cognition: understanding brain evolution in the LCBC dataset. Full text in Research Archive
• Garrido, Pablo F. (2024). Implementing the QALAS sequence at LCBC. Full text in Research Archive
• Garrido, Pablo F. (2024). Implementing the QALAS sequence at LCBC: Calibration, preprocessing and data analysis. Full text in Research Archive
• Garrido, Pablo F. (2024). A novel analysis approach to Mirror Tracing Task performance to detect fine-grained age-related differences. Full text in Research Archive
• Garrido, Pablo F. (2024). A look on human navigation in VR environments by time series clusterization analysis. Full text in Research Archive
• Garrido, Pablo F. (2024). qMRI and the QALAS sequence. Full text in Research Archive
• Garrido, Pablo F.; Bråthen, Anne Cecilie Sjøli; Falch, Emilie Sogn; Kransberg, Jonas; Sørensen, Øystein & Walhovd, Kristine B (2024). A novel analysis approach to Mirror Tracing Task performance to detect fine-grained age-related differences. Alzheimer's & Dementia. ISSN 1552-5260. 20, p. e092273–e092273. doi: 10.1002/alz.092273. Full text in Research Archive

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