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1. Multiplex Nodal Modularity: A novel network metric for the regional analysis of amnestic mild cognitive impairment during a working memory binding task

Author

Campbell-Cousins, Avalon, Guazzo, Federica, Bastin, Mark, Parra, Mario A., and Escudero, Javier

Subjects
Quantitative Biology - Neurons and Cognition, Computer Science - Social and Information Networks, Physics - Biological Physics
Abstract

Modularity is a well-established concept for assessing community structures in various single and multi-layer networks, including those in biological and social domains. Biological networks, such as the brain, are known to exhibit group structure at a variety of scales -- local, meso, and global scale. Modularity, while useful in describing mesoscale brain organization, is limited as a metric to a global scale describing the overall strength of community structure. This approach, while valuable, overlooks important localized variations in community structure at the node level. To address this limitation, we extended modularity to individual nodes. This novel measure of nodal modularity ($nQ$) captures both meso and local scale changes in modularity. We hypothesized that $nQ$ illuminates granular changes in the brain due to diseases such as Alzheimer's disease (AD), which are known to disrupt the brain's modular structure. We explored $nQ$ in multiplex networks of a visual short-term memory binding task in fMRI and DTI data in the early stages of AD. Observed changes in $nQ$ in fMRI and DTI networks aligned with known trajectories of AD and were linked to common biomarkers of the disease, including amyloid-$\beta$ and tau. Additionally, $nQ$ clearly differentiated MCI from MCI converters showing indications that $nQ$ may be a useful diagnostic tool for characterizing disease stages. Our findings demonstrate the utility of $nQ$ as a measure of localized group structure, providing novel insights into temporal and disease related variability at the node level. Given the widespread application of modularity as a global measure, $nQ$ represents a significant advancement, providing a granular measure of network organization applicable to a wide range of disciplines., Comment: 37 pages, 11 figures, this is to be submitted to PLOS ONE for publication

Published
2025

2. Brain clocks capture diversity and disparities in aging and dementia across geographically diverse populations

Author

Moguilner, Sebastian, Baez, Sandra, Hernandez, Hernan, Migeot, Joaquín, Legaz, Agustina, Gonzalez-Gomez, Raul, Farina, Francesca R, Prado, Pavel, Cuadros, Jhosmary, Tagliazucchi, Enzo, Altschuler, Florencia, Maito, Marcelo Adrián, Godoy, María E, Cruzat, Josephine, Valdes-Sosa, Pedro A, Lopera, Francisco, Ochoa-Gómez, John Fredy, Hernandez, Alfredis Gonzalez, Bonilla-Santos, Jasmin, Gonzalez-Montealegre, Rodrigo A, Anghinah, Renato, d’Almeida Manfrinati, Luís E, Fittipaldi, Sol, Medel, Vicente, Olivares, Daniela, Yener, Görsev G, Escudero, Javier, Babiloni, Claudio, Whelan, Robert, Güntekin, Bahar, Yırıkoğulları, Harun, Santamaria-Garcia, Hernando, Lucas, Alberto Fernández, Huepe, David, Di Caterina, Gaetano, Soto-Añari, Marcio, Birba, Agustina, Sainz-Ballesteros, Agustin, Coronel-Oliveros, Carlos, Yigezu, Amanuel, Herrera, Eduar, Abasolo, Daniel, Kilborn, Kerry, Rubido, Nicolás, Clark, Ruaridh A, Herzog, Ruben, Yerlikaya, Deniz, Hu, Kun, Parra, Mario A, Reyes, Pablo, García, Adolfo M, Matallana, Diana L, Avila-Funes, José Alberto, Slachevsky, Andrea, Behrens, María I, Custodio, Nilton, Cardona, Juan F, Barttfeld, Pablo, Brusco, Ignacio L, Bruno, Martín A, Sosa Ortiz, Ana L, Pina-Escudero, Stefanie D, Takada, Leonel T, Resende, Elisa, Possin, Katherine L, de Oliveira, Maira Okada, Lopez-Valdes, Alejandro, Lawlor, Brian, Robertson, Ian H, Kosik, Kenneth S, Duran-Aniotz, Claudia, Valcour, Victor, Yokoyama, Jennifer S, Miller, Bruce, and Ibanez, Agustin

Subjects
Health Services and Systems, Health Sciences, Neurosciences, Neurodegenerative, Minority Health, Alzheimer's Disease Related Dementias (ADRD), Clinical Research, Alzheimer's Disease, Acquired Cognitive Impairment, Brain Disorders, Bioengineering, Vascular Cognitive Impairment/Dementia, Aging, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Behavioral and Social Science, Dementia, Cerebrovascular, Basic Behavioral and Social Science, Health Disparities, Neurological, Humans, Male, Brain, Female, Aged, Magnetic Resonance Imaging, Electroencephalography, Middle Aged, Alzheimer Disease, Cognitive Dysfunction, Aged, 80 and over, Health Status Disparities, Socioeconomic Factors, Medical and Health Sciences, Immunology, Biomedical and clinical sciences, Health sciences
Abstract

Brain clocks, which quantify discrepancies between brain age and chronological age, hold promise for understanding brain health and disease. However, the impact of diversity (including geographical, socioeconomic, sociodemographic, sex and neurodegeneration) on the brain-age gap is unknown. We analyzed datasets from 5,306 participants across 15 countries (7 Latin American and Caribbean countries (LAC) and 8 non-LAC countries). Based on higher-order interactions, we developed a brain-age gap deep learning architecture for functional magnetic resonance imaging (2,953) and electroencephalography (2,353). The datasets comprised healthy controls and individuals with mild cognitive impairment, Alzheimer disease and behavioral variant frontotemporal dementia. LAC models evidenced older brain ages (functional magnetic resonance imaging: mean directional error = 5.60, root mean square error (r.m.s.e.) = 11.91; electroencephalography: mean directional error = 5.34, r.m.s.e. = 9.82) associated with frontoposterior networks compared with non-LAC models. Structural socioeconomic inequality, pollution and health disparities were influential predictors of increased brain-age gaps, especially in LAC (R² = 0.37, F² = 0.59, r.m.s.e. = 6.9). An ascending brain-age gap from healthy controls to mild cognitive impairment to Alzheimer disease was found. In LAC, we observed larger brain-age gaps in females in control and Alzheimer disease groups compared with the respective males. The results were not explained by variations in signal quality, demographics or acquisition methods. These findings provide a quantitative framework capturing the diversity of accelerated brain aging.

Published
2024

3. Graph Permutation Entropy: Extensions to the Continuous Case, A step towards Ordinal Deep Learning, and More

Author

Roy, Om, Campbell-Cousins, Avalon, Carrasco, John Stewart Fabila, Parra, Mario A, and Escudero, Javier

Subjects
Nonlinear Sciences - Chaotic Dynamics
Abstract

Nonlinear dynamics play an important role in the analysis of signals. A popular, readily interpretable nonlinear measure is Permutation Entropy. It has recently been extended for the analysis of graph signals, thus providing a framework for non-linear analysis of data sampled on irregular domains. Here, we introduce a continuous version of Permutation Entropy, extend it to the graph domain, and develop a ordinal activation function akin to the one of neural networks. This is a step towards Ordinal Deep Learning, a potentially effective and very recently posited concept. We also formally extend ordinal contrasts to the graph domain. Continuous versions of ordinal contrasts of length 3 are also introduced and their advantage is shown in experiments. We also integrate specific contrasts for the analysis of images and show that it generalizes well to the graph domain allowing a representation of images, represented as graph signals, in a plane similar to the entropy-complexity one. Applications to synthetic data, including fractal patterns and popular non-linear maps, and real-life MRI data show the validity of these novel extensions and potential benefits over the state of the art. By extending very recent concepts related to permutation entropy to the graph domain, we expect to accelerate the development of more graph-based entropy methods to enable nonlinear analysis of a broader kind of data and establishing relationships with emerging ideas in data science.

Published
2024

4. FAST functional connectivity implicates P300 connectivity in working memory deficits in Alzheimer's disease

Author

Roy, Om, Moshfeghi, Yashar, Ibanez, Agustin, Lopera, Francisco, Parra, Mario A, and Smith, Keith M

Subjects
Quantitative Biology - Neurons and Cognition, Electrical Engineering and Systems Science - Signal Processing
Abstract

Measuring transient functional connectivity is an important challenge in Electroencephalogram (EEG) research. Here, the rich potential for insightful, discriminative information of brain activity offered by high temporal resolution is confounded by the inherent noise of the medium and the spurious nature of correlations computed over short temporal windows. We propose a novel methodology to overcome these problems called Filter Average Short-Term (FAST) functional connectivity. First, long-term, stable, functional connectivity is averaged across an entire study cohort for a given pair of Visual Short Term Memory (VSTM) tasks. The resulting average connectivity matrix, containing information on the strongest general connections for the tasks, is used as a filter to analyse the transient high temporal resolution functional connectivity of individual subjects. In simulations, we show that this method accurately discriminates differences in noisy Event-Related Potentials (ERPs) between two conditions where standard connectivity and other comparable methods fail. We then apply this to analyse activity related to visual short-term memory binding deficits in two cohorts of familial and sporadic Alzheimer's disease. Reproducible significant differences were found in the binding task with no significant difference in the shape task in the P300 ERP range. This allows new sensitive measurements of transient functional connectivity, which can be implemented to obtain results of clinical significance., Comment: Published in Network Neuroscience (2024) by MIT Press

Published
2024
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5. Author Correction: The BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgrounds

Author

Prado, Pavel, Medel, Vicente, Gonzalez-Gomez, Raul, Sainz-Ballesteros, Agustín, Vidal, Victor, Santamaría-García, Hernando, Moguilner, Sebastian, Mejia, Jhony, Slachevsky, Andrea, Behrens, Maria Isabel, Aguillon, David, Lopera, Francisco, Parra, Mario A., Matallana, Diana, Maito, Marcelo Adrián, Garcia, Adolfo M., Custodio, Nilton, Funes, Alberto Ávila, Piña-Escudero, Stefanie, Birba, Agustina, Fittipaldi, Sol, Legaz, Agustina, and Ibañez, Agustín

Published
2024
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6. Author Correction: Brain clocks capture diversity and disparities in aging and dementia across geographically diverse populations

Author

Moguilner, Sebastian, Baez, Sandra, Hernandez, Hernan, Migeot, Joaquín, Legaz, Agustina, Gonzalez-Gomez, Raul, Farina, Francesca R., Prado, Pavel, Cuadros, Jhosmary, Tagliazucchi, Enzo, Altschuler, Florencia, Maito, Marcelo Adrián, Godoy, María E., Cruzat, Josephine, Valdes-Sosa, Pedro A., Lopera, Francisco, Ochoa-Gómez, John Fredy, Hernandez, Alfredis Gonzalez, Bonilla-Santos, Jasmin, Gonzalez-Montealegre, Rodrigo A., Anghinah, Renato, d’Almeida Manfrinati, Luís E., Fittipaldi, Sol, Medel, Vicente, Olivares, Daniela, Yener, Görsev G., Escudero, Javier, Babiloni, Claudio, Whelan, Robert, Güntekin, Bahar, Yırıkoğulları, Harun, Santamaria-Garcia, Hernando, Lucas, Alberto Fernández, Huepe, David, Di Caterina, Gaetano, Soto-Añari, Marcio, Birba, Agustina, Sainz-Ballesteros, Agustin, Coronel-Oliveros, Carlos, Yigezu, Amanuel, Herrera, Eduar, Abasolo, Daniel, Kilborn, Kerry, Rubido, Nicolás, Clark, Ruaridh A., Herzog, Ruben, Yerlikaya, Deniz, Hu, Kun, Parra, Mario A., Reyes, Pablo, García, Adolfo M., Matallana, Diana L., Avila-Funes, José Alberto, Slachevsky, Andrea, Behrens, María I., Custodio, Nilton, Cardona, Juan F., Barttfeld, Pablo, Brusco, Ignacio L., Bruno, Martín A., Sosa Ortiz, Ana L., Pina-Escudero, Stefanie D., Takada, Leonel T., Resende, Elisa, Possin, Katherine L., de Oliveira, Maira Okada, Lopez-Valdes, Alejandro, Lawlor, Brian, Robertson, Ian H., Kosik, Kenneth S., Duran-Aniotz, Claudia, Valcour, Victor, Yokoyama, Jennifer S., Miller, Bruce, and Ibanez, Agustin

Published
2024
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8. Biomarkers for dementia in Latin American countries: Gaps and opportunities.

Author

Parra, Mario, Orellana, Paulina, Leon, Tomas, Victoria, Cabello, Henriquez, Fernando, Gomez, Rodrigo, Avalos, Constanza, Damian, Andres, Slachevsky, Andrea, Ibañez, Agustin, Zetterberg, Henrik, Tijms, Betty, Yokoyama, Jennifer, Piña-Escudero, Stefanie, Cochran, J, Matallana, Diana, Acosta, Daisy, Allegri, Ricardo, Arias-Suárez, Bianca, Barra, Bernardo, Behrens, Maria, Brucki, Sonia, Busatto, Geraldo, Caramelli, Paulo, Castro-Suarez, Sheila, Contreras, Valeria, Custodio, Nilton, Dansilio, Sergio, la Cruz-Puebla, Myriam, de Souza, Leonardo, Diaz, Monica, Duque, Lissette, Farías, Gonzalo, Ferreira, Sergio, Guimet, Nahuel, Kmaid, Ana, Lira, David, Lopera, Francisco, Meza, Beatriz, Miotto, Eliane, Nitrini, Ricardo, Nuñez, Alberto, ONeill, Santiago, Ochoa, John, Pintado-Caipa, Maritza, Resende, Elisa, Risacher, Shannon, Rojas, Luz, Sabaj, Valentina, Schilling, Lucas, Sellek, Allis, Sosa, Ana, Takada, Leonel, Teixeira, Antonio, Unaucho-Pilalumbo, Martha, and Duran-Aniotz, Claudia

Subjects
Humans, Latin America, Dementia
Abstract

Limited knowledge on dementia biomarkers in Latin American and Caribbean (LAC) countries remains a serious barrier. Here, we reported a survey to explore the ongoing work, needs, interests, potential barriers, and opportunities for future studies related to biomarkers. The results show that neuroimaging is the most used biomarker (73%), followed by genetic studies (40%), peripheral fluids biomarkers (31%), and cerebrospinal fluid biomarkers (29%). Regarding barriers in LAC, lack of funding appears to undermine the implementation of biomarkers in clinical or research settings, followed by insufficient infrastructure and training. The survey revealed that despite the above barriers, the region holds a great potential to advance dementia biomarkers research. Considering the unique contributions that LAC could make to this growing field, we highlight the urgent need to expand biomarker research. These insights allowed us to propose an action plan that addresses the recommendations for a biomarker framework recently proposed by regional experts.

Published
2023

9. Multi-feature computational framework for combined signatures of dementia in underrepresented settings.

Author

Moguilner, Sebastian, Birba, Agustina, Fittipaldi, Sol, Gonzalez-Campo, Cecilia, Tagliazucchi, Enzo, Reyes, Pablo, Matallana, Diana, Parra, Mario, Slachevsky, Andrea, Farías, Gonzalo, Cruzat, Josefina, García, Adolfo, Eyre, Harris, La Joie, Renaud, Rabinovici, Gil, Whelan, Robert, and Ibáñez, Agustín

Subjects
feature selection, harmonization, machine learning, multimodal neuroimaging, neurodegeneration, Alzheimer Disease, Bayes Theorem, Biomarkers, Brain, Frontotemporal Dementia, Humans, Magnetic Resonance Imaging, Neuropsychological Tests
Abstract

Objective.The differential diagnosis of behavioral variant frontotemporal dementia (bvFTD) and Alzheimers disease (AD) remains challenging in underrepresented, underdiagnosed groups, including Latinos, as advanced biomarkers are rarely available. Recent guidelines for the study of dementia highlight the critical role of biomarkers. Thus, novel cost-effective complementary approaches are required in clinical settings.Approach. We developed a novel framework based on a gradient boosting machine learning classifier, tuned by Bayesian optimization, on a multi-feature multimodal approach (combining demographic, neuropsychological, magnetic resonance imaging (MRI), and electroencephalography/functional MRI connectivity data) to characterize neurodegeneration using site harmonization and sequential feature selection. We assessed 54 bvFTD and 76 AD patients and 152 healthy controls (HCs) from a Latin American consortium (ReDLat).Main results. The multimodal model yielded high area under the curve classification values (bvFTD patients vs HCs: 0.93 (±0.01); AD patients vs HCs: 0.95 (±0.01); bvFTD vs AD patients: 0.92 (±0.01)). The feature selection approach successfully filtered non-informative multimodal markers (from thousands to dozens).Results. Proved robust against multimodal heterogeneity, sociodemographic variability, and missing data.Significance. The model accurately identified dementia subtypes using measures readily available in underrepresented settings, with a similar performance than advanced biomarkers. This approach, if confirmed and replicated, may potentially complement clinical assessments in developing countries.

Published
2022

10. Brain health in diverse settings: How age, demographics and cognition shape brain function

Author

Hernandez, Hernan, Baez, Sandra, Medel, Vicente, Moguilner, Sebastian, Cuadros, Jhosmary, Santamaria-Garcia, Hernando, Tagliazucchi, Enzo, Valdes-Sosa, Pedro A., Lopera, Francisco, OchoaGómez, John Fredy, González-Hernández, Alfredis, Bonilla-Santos, Jasmin, Gonzalez-Montealegre, Rodrigo A., Aktürk, Tuba, Yıldırım, Ebru, Anghinah, Renato, Legaz, Agustina, Fittipaldi, Sol, Yener, Görsev G., Escudero, Javier, Babiloni, Claudio, Lopez, Susanna, Whelan, Robert, Lucas, Alberto A Fernández, García, Adolfo M., Huepe, David, Caterina, Gaetano Di, Soto-Añari, Marcio, Birba, Agustina, Sainz-Ballesteros, Agustin, Coronel, Carlos, Herrera, Eduar, Abasolo, Daniel, Kilborn, Kerry, Rubido, Nicolás, Clark, Ruaridh, Herzog, Ruben, Yerlikaya, Deniz, Güntekin, Bahar, Parra, Mario A., Prado, Pavel, and Ibanez, Agustin

Published
2024
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11. The BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgrounds

Author

Prado, Pavel, Medel, Vicente, Gonzalez-Gomez, Raul, Sainz-Ballesteros, Agustín, Vidal, Victor, Santamaría-García, Hernando, Moguilner, Sebastian, Mejia, Jhony, Slachevsky, Andrea, Behrens, Maria Isabel, Aguillon, David, Lopera, Francisco, Parra, Mario A., Matallana, Diana, Maito, Marcelo Adrián, Garcia, Adolfo M., Custodio, Nilton, Funes, Alberto Ávila, Piña-Escudero, Stefanie, Birba, Agustina, Fittipaldi, Sol, Legaz, Agustina, and Ibañez, Agustín

Published
2023
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12. Design and Evaluation of a Smart Environment with a Conversational Agent for Mindful Eating

Author

Parra, Mario O., Favela, Jesus, Castro, Luis A., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Bravo, José, editor, Ochoa, Sergio, editor, and Favela, Jesús, editor

Published
2023
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16. Dementia in Latin America: Paving the way toward a regional action plan.

Author

Parra, Mario Alfredo, Baez, Sandra, Sedeño, Lucas, Gonzalez Campo, Cecilia, Santamaría-García, Hernando, Aprahamian, Ivan, Bertolucci, Paulo Hf, Bustin, Julian, Camargos Bicalho, Maria Aparecida, Cano-Gutierrez, Carlos, Caramelli, Paulo, Chaves, Marcia LF, Cogram, Patricia, Beber, Bárbara Costa, Court, Felipe A, de Souza, Leonardo Cruz, Custodio, Nilton, Damian, Andres, de la Cruz, Myriam, Diehl Rodriguez, Roberta, Brucki, Sonia Maria Dozzi, Fajersztajn, Lais, Farías, Gonzalo A, De Felice, Fernanda G, Ferrari, Raffaele, de Oliveira, Fabricio Ferreira, Ferreira, Sergio T, Ferretti, Ceres, Figueredo Balthazar, Marcio Luiz, Ferreira Frota, Norberto Anizio, Fuentes, Patricio, García, Adolfo M, Garcia, Patricia J, de Gobbi Porto, Fábio Henrique, Duque Peñailillo, Lissette, Engler, Henry Willy, Maier, Irene, Mata, Ignacio F, Gonzalez-Billault, Christian, Lopez, Oscar L, Morelli, Laura, Nitrini, Ricardo, Quiroz, Yakeel T, Guerrero Barragan, Alejandra, Huepe, David, Pio, Fabricio Joao, Suemoto, Claudia Kimie, Kochhann, Renata, Kochen, Silvia, Kumfor, Fiona, Lanata, Serggio, Miller, Bruce, Mansur, Leticia Lessa, Hosogi, Mirna Lie, Lillo, Patricia, Llibre Guerra, Jorge, Lira, David, Lopera, Francisco, Comas, Adelina, Avila-Funes, José Alberto, Sosa, Ana Luisa, Ramos, Claudia, Resende, Elisa de Paula França, Snyder, Heather M, Tarnanas, Ioannis, Yokoyama, Jenifer, Llibre, Juan, Cardona, Juan Felipe, Possin, Kate, Kosik, Kenneth S, Montesinos, Rosa, Moguilner, Sebastian, Solis, Patricia Cristina Lourdes, Ferretti-Rebustini, Renata Eloah de Lucena, Ramirez, Jeronimo Martin, Matallana, Diana, Mbakile-Mahlanza, Lingani, Marques Ton, Alyne Mendonça, Tavares, Ronnielly Melo, Miotto, Eliane C, Muniz-Terrera, Graciela, Muñoz-Nevárez, Luis Arnoldo, Orozco, David, Okada de Oliveira, Maira, Piguet, Olivier, Pintado Caipa, Maritza, Piña Escudero, Stefanie Danielle, Schilling, Lucas Porcello, Rodrigues Palmeira, André Luiz, Yassuda, Mônica Sanches, Santacruz-Escudero, Jose Manuel, Serafim, Rodrigo Bernardo, Smid, Jerusa, Slachevsky, Andrea, Serrano, Cecilia, Soto-Añari, Marcio, Takada, Leonel Tadao, Grinberg, Lea Tenenholz, Teixeira, Antonio Lucio, and Barbosa, Maira Tonidandel

Subjects
Latin America, biomarkers, clinical trials, dementia, epidemiology, evidence-based recommendations, genetics, knowledge to action framework, networking and translational research, nonpharmacological interventions, Dementia, Clinical Research, Brain Disorders, Aging, Acquired Cognitive Impairment, Prevention, Neurological, Clinical Sciences, Neurosciences, Geriatrics
Abstract

Across Latin American and Caribbean countries (LACs), the fight against dementia faces pressing challenges, such as heterogeneity, diversity, political instability, and socioeconomic disparities. These can be addressed more effectively in a collaborative setting that fosters open exchange of knowledge. In this work, the Latin American and Caribbean Consortium on Dementia (LAC-CD) proposes an agenda for integration to deliver a Knowledge to Action Framework (KtAF). First, we summarize evidence-based strategies (epidemiology, genetics, biomarkers, clinical trials, nonpharmacological interventions, networking, and translational research) and align them to current global strategies to translate regional knowledge into transformative actions. Then we characterize key sources of complexity (genetic isolates, admixture in populations, environmental factors, and barriers to effective interventions), map them to the above challenges, and provide the basic mosaics of knowledge toward a KtAF. Finally, we describe strategies supporting the knowledge creation stage that underpins the translational impact of KtAF.

Published
2021

17. Systematic Review: Genetic, Neuroimaging, and Fluids Biomarkers for Frontotemporal Dementia Across Latin America Countries

Author

Duran-Aniotz, Claudia, Orellana, Paulina, Rodriguez, Tomas Leon, Henriquez, Fernando, Cabello, Victoria, Aguirre-Pinto, María F, Escobedo, Tamara, Takada, Leonel T, Pina-Escudero, Stefanie D, Lopez, Oscar, Yokoyama, Jennifer S, Ibanez, Agustin, Parra, Mario A, and Slachevsky, Andrea

Subjects
Biological Psychology, Psychology, Rare Diseases, Brain Disorders, Frontotemporal Dementia (FTD), Acquired Cognitive Impairment, Behavioral and Social Science, Aging, Basic Behavioral and Social Science, Alzheimer's Disease Related Dementias (ADRD), Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Clinical Research, Neurosciences, Dementia, Genetics, Neurodegenerative, 4.1 Discovery and preclinical testing of markers and technologies, 4.2 Evaluation of markers and technologies, Neurological, Mental health, Good Health and Well Being, frontotemporal dementia, genetics, neuroimaging, fluid biomarkers, Latin America, Clinical Sciences, Clinical sciences, Biological psychology
Abstract

Frontotemporal dementia (FTD) includes a group of clinically, genetically, and pathologically heterogeneous neurodegenerative disorders, affecting the fronto-insular-temporal regions of the brain. Clinically, FTD is characterized by progressive deficits in behavior, executive function, and language and its diagnosis relies mainly on the clinical expertise of the physician/consensus group and the use of neuropsychological tests and/or structural/functional neuroimaging, depending on local availability. The modest correlation between clinical findings and FTD neuropathology makes the diagnosis difficult using clinical criteria and often leads to underdiagnosis or misdiagnosis, primarily due to lack of recognition or awareness of FTD as a disease and symptom overlap with psychiatric disorders. Despite advances in understanding the underlying neuropathology of FTD, accurate and sensitive diagnosis for this disease is still lacking. One of the major challenges is to improve diagnosis in FTD patients as early as possible. In this context, biomarkers have emerged as useful methods to provide and/or complement clinical diagnosis for this complex syndrome, although more evidence is needed to incorporate most of them into clinical practice. However, most biomarker studies have been performed using North American or European populations, with little representation of the Latin American and the Caribbean (LAC) region. In the LAC region, there are additional challenges, particularly the lack of awareness and knowledge about FTD, even in specialists. Also, LAC genetic heritage and cultures are complex, and both likely influence clinical presentations and may modify baseline biomarker levels. Even more, due to diagnostic delay, the clinical presentation might be further complicated by both neurological and psychiatric comorbidity, such as vascular brain damage, substance abuse, mood disorders, among others. This systematic review provides a brief update and an overview of the current knowledge on genetic, neuroimaging, and fluid biomarkers for FTD in LAC countries. Our review highlights the need for extensive research on biomarkers in FTD in LAC to contribute to a more comprehensive understanding of the disease and its associated biomarkers. Dementia research is certainly reduced in the LAC region, highlighting an urgent need for harmonized, innovative, and cross-regional studies with a global perspective across multiple areas of dementia knowledge.

Published
2021

19. The impact of SARS‐CoV‐2 in dementia across Latin America: A call for an urgent regional plan and coordinated response

Author

Ibanez, Agustin, Santamaria‐Garcia, Hernando, Barragan, Alejandra Guerrero, Kornhuber, Alexander, Ton, Alyne Mendonca Marques, Slachevsky, Andrea, Teixeira, Antonio Lucio, Meza, Beatriz Marcela Mar, Serrano, Cecilia M, Cano, Carlos, Gonzalez, Carolina Arias, Gonzalez‐Billault, Christian, Butler, Christopher, Bustin, Julian, Duran‐Aniotz, Claudia, Acosta, Daisy, Matallana, Diana L, Acosta‐Alvear, Diego, Trépel, Dominic, De Paula França Resende, Elisa, Oliveira, Fabricio Ferreira, Ibanez, Francisco, De Felice, Fernanda G, Navarrete, Gorka, Tarnanas, Ioannis, Meier, Irene B, Smid, Jerusa, Llibre‐Guerra, Jorge, Llibre‐Rodriguez, Juan J, Fajersztajn, Laís, Takada, Leonel Tadao, Duque, Lissette, de Oliveira, Maira Okada, Bicalho, Maria Aparecida Camargos, Behrens, María Isabel, Pintado‐Caipa, Maritza, Parra, Mario, Wilson, Maxwell Z, De La Cruz Puebla, Myriam, Custodio, Nilton, Santibanez, Rodrigo, Serafim, Rodrigo Bernardo, Tavares, Ronnielly Melo, Escudero, Stefanie Danielle Piña, Rodriguez, Tomas Leon, Dawson, Walter, Miller, Bruce L, and Kosik, Kenneth S

Subjects
Emerging Infectious Diseases, Brain Disorders, Prevention, Acquired Cognitive Impairment, Dementia, Neurological, Reduced Inequalities, coronavirus, dementia, health system, Latin American and Caribbean countries, SARS-CoV-2, SARS‐CoV‐2
Abstract

The SARS-CoV-2 global pandemic will disproportionately impact countries with weak economies and vulnerable populations including people with dementia. Latin American and Caribbean countries (LACs) are burdened with unstable economic development, fragile health systems, massive economic disparities, and a high prevalence of dementia. Here, we underscore the selective impact of SARS-CoV-2 on dementia among LACs, the specific strain on health systems devoted to dementia, and the subsequent effect of increasing inequalities among those with dementia in the region. Implementation of best practices for mitigation and containment faces particularly steep challenges in LACs. Based upon our consideration of these issues, we urgently call for a coordinated action plan, including the development of inexpensive mass testing and multilevel regional coordination for dementia care and related actions. Brain health diplomacy should lead to a shared and escalated response across the region, coordinating leadership, and triangulation between governments and international multilateral networks.

Published
2020

21. Treatment effects on event-related EEG potentials and oscillations in Alzheimer's disease

Author

Yener, Görsev, Hünerli-Gündüz, Duygu, Yıldırım, Ebru, Aktürk, Tuba, Başar-Eroğlu, Canan, Bonanni, Laura, Del Percio, Claudio, Farina, Francesca, Ferri, Raffaele, Güntekin, Bahar, Hajós, Mihály, Ibáñez, Agustín, Jiang, Yang, Lizio, Roberta, Lopez, Susanna, Noce, Giuseppe, Parra, Mario A, Randall, Fiona, Stocchi, Fabrizio, and Babiloni, Claudio

Published
2022
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22. Complex tensor factorisation with PARAFAC2 for the estimation of brain connectivity from the EEG

Author

Spyrou, Loukianos, Parra, Mario, and Escudero, Javier

Subjects
Computer Science - Computational Engineering, Finance, and Science, Quantitative Biology - Neurons and Cognition
Abstract

Objective: The coupling between neuronal populations and its magnitude have been shown to be informative for various clinical applications. One method to estimate brain connectivity is with electroencephalography (EEG) from which the cross-spectrum between different sensor locations is derived. We wish to test the efficacy of tensor factorisation in the estimation of brain connectivity. Methods: Complex tensor factorisation based on PARAFAC2 is used to decompose the EEG into scalp components described by the spatial, spectral, and complex trial profiles. An EEG model in the complex domain was derived that shows the suitability of PARAFAC2. A connectivity metric was also derived on the complex trial profiles of the extracted components. Results: Results on a benchmark EEG dataset confirmed that PARAFAC2 can estimate connectivity better than traditional tensor analysis such as PARAFAC within a range of signal-to-noise ratios. The analysis of EEG from patients with mild cognitive impairment or Alzheimer's disease showed that PARAFAC2 identifies loss of brain connectivity better than traditional approaches and agreeing with prior pathological knowledge. Conclusion: The complex PARAFAC2 algorithm is suitable for EEG connectivity estimation since it allows to extract meaningful coupled sources and provides better estimates than complex PARAFAC. Significance: A new paradigm that employs complex tensor factorisation has demonstrated to be successful in identifying brain connectivity and the location of couples sources for both a benchmark and a real-world EEG dataset. This can enable future applications and has the potential to solve some the issues that deteriorate the performance of traditional connectivity metrics.

Published
2017

23. Perspectives on ethnic and racial disparities in Alzheimer's disease and related dementias: Update and areas of immediate need.

Author

Babulal, Ganesh M, Quiroz, Yakeel T, Albensi, Benedict C, Arenaza-Urquijo, Eider, Astell, Arlene J, Babiloni, Claudio, Bahar-Fuchs, Alex, Bell, Joanne, Bowman, Gene L, Brickman, Adam M, Chételat, Gaël, Ciro, Carrie, Cohen, Ann D, Dilworth-Anderson, Peggye, Dodge, Hiroko H, Dreux, Simone, Edland, Steven, Esbensen, Anna, Evered, Lisbeth, Ewers, Michael, Fargo, Keith N, Fortea, Juan, Gonzalez, Hector, Gustafson, Deborah R, Head, Elizabeth, Hendrix, James A, Hofer, Scott M, Johnson, Leigh A, Jutten, Roos, Kilborn, Kerry, Lanctôt, Krista L, Manly, Jennifer J, Martins, Ralph N, Mielke, Michelle M, Morris, Martha Clare, Murray, Melissa E, Oh, Esther S, Parra, Mario A, Rissman, Robert A, Roe, Catherine M, Santos, Octavio A, Scarmeas, Nikolaos, Schneider, Lon S, Schupf, Nicole, Sikkes, Sietske, Snyder, Heather M, Sohrabi, Hamid R, Stern, Yaakov, Strydom, Andre, Tang, Yi, Terrera, Graciela Muniz, Teunissen, Charlotte, Melo van Lent, Debora, Weinborn, Michael, Wesselman, Linda, Wilcock, Donna M, Zetterberg, Henrik, O'Bryant, Sid E, and International Society to Advance Alzheimer's Research and Treatment, Alzheimer's Association

Subjects
International Society to Advance Alzheimer's Research and Treatment, Alzheimer's Association, Humans, Alzheimer Disease, Biomedical Research, Aged, Continental Population Groups, Ethnic Groups, Healthcare Disparities, Biomarkers, Alzheimer's disease, Alzheimer's related dementias, Diversity, Ethnicity, Ethnoracial, Translational, Underserved, Geriatrics, Clinical Sciences, Neurosciences
Abstract

Alzheimer's disease and related dementias (ADRDs) are a global crisis facing the aging population and society as a whole. With the numbers of people with ADRDs predicted to rise dramatically across the world, the scientific community can no longer neglect the need for research focusing on ADRDs among underrepresented ethnoracial diverse groups. The Alzheimer's Association International Society to Advance Alzheimer's Research and Treatment (ISTAART; alz.org/ISTAART) comprises a number of professional interest areas (PIAs), each focusing on a major scientific area associated with ADRDs. We leverage the expertise of the existing international cadre of ISTAART scientists and experts to synthesize a cross-PIA white paper that provides both a concise "state-of-the-science" report of ethnoracial factors across PIA foci and updated recommendations to address immediate needs to advance ADRD science across ethnoracial populations.

Published
2019

27. Locating Temporal Functional Dynamics of Visual Short-Term Memory Binding using Graph Modular Dirichlet Energy

Author

Smith, Keith, Ricaud, Benjamin, Shahid, Nauman, Rhodes, Stephen, Starr, John M., Ibanez, Agustin, Parra, Mario A., Escudero, Javier, and Vandergheynst, Pierre

Subjects
Quantitative Biology - Neurons and Cognition
Abstract

Visual short-term memory binding tasks are a promising early marker for Alzheimer's disease (AD). To uncover functional deficits of AD in these tasks it is meaningful to first study unimpaired brain function. Electroencephalogram recordings were obtained from encoding and maintenance periods of tasks performed by healthy young volunteers. We probe the task's transient physiological underpinnings by contrasting shape only (Shape) and shape-colour binding (Bind) conditions, displayed in the left and right sides of the screen, separately. Particularly, we introduce and implement a novel technique named Modular Dirichlet Energy (MDE) which allows robust and flexible analysis of the functional network with unprecedented temporal precision. We find that connectivity in the Bind condition is less integrated with the global network than in the Shape condition in occipital and frontal modules during the encoding period of the right screen condition. Using MDE we are able to discern driving effects in the occipital module between 100-140ms, coinciding with the P100 visually evoked potential, followed by a driving effect in the frontal module between 140-180ms, suggesting that the differences found constitute an information processing difference between these modules. This provides temporally precise information over a heterogeneous population in promising tasks for the detection of AD.

Published
2016
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28. Comparison of Network Analysis Approaches on EEG Connectivity in Beta during Visual Short-Term Memory Binding Tasks

Author

Smith, Keith, Azami, Hamed, Parra, Mario A., Escudero, Javier, and Starr, John M.

Subjects
Quantitative Biology - Neurons and Cognition
Abstract

We analyse the electroencephalogram signals in the beta band of working memory representation recorded from young healthy volunteers performing several different Visual Short-Term Memory (VSTM) tasks which have proven useful in the assessment of clinical and preclinical Alzheimer's disease. We compare network analysis using Maximum Spanning Trees (MSTs) with network analysis obtained using 20% and 25% connection thresholds on the VSTM data. MSTs are a promising method of network analysis negating the more classical use of thresholds which are so far chosen arbitrarily. However, we find that the threshold analyses outperforms MSTs for detection of functional network differences. Particularly, MSTs fail to find any significant differences. Further, the thresholds detect significant differences between shape and shape-colour binding tasks when these are tested in the left side of the display screen, but no such differences are detected when these tasks are tested for in the right side of the display screen. This provides evidence that contralateral activity is a significant factor in sensitivity for detection of cognitive task differences., Comment: Proceeds from the IEEE Engineering in Medicine and Biology Conference 2015

Published
2016
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29. Cluster-Span Threshold: An unbiased threshold for binarising weighted complete networks in functional connectivity analysis

Author

Smith, Keith, Azami, Hamed, Parra, Mario A., Starr, John M., and Escudero, Javier

Subjects
Quantitative Biology - Neurons and Cognition
Abstract

We propose a new unbiased threshold for network analysis named the Cluster-Span Threshold (CST). This is based on the clustering coefficient, C, following logic that a balance of `clustering' to `spanning' triples results in a useful topology for network analysis and that the product of complementing properties has a unique value only when perfectly balanced. We threshold networks by fixing C at this balanced value, rather than fixing connection density at an arbitrary value, as has been the trend. We compare results from an electroencephalogram data set of volunteers performing visual short term memory tasks of the CST alongside other thresholds, including maximum spanning trees. We find that the CST holds as a sensitive threshold for distinguishing differences in the functional connectivity between tasks. This provides a sensitive and objective method for setting a threshold on weighted complete networks which may prove influential on the future of functional connectivity research., Comment: conference paper from the IEEE Engineering in Medicine and Biology Conference 2015

Published
2016
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30. Deficits in short-term memory binding are detectable in individuals with brain amyloid deposition in the absence of overt neurodegeneration in the Alzheimer’s disease continuum

Author

Cecchini, Mario Amore, Yassuda, Mônica Sanches, Squarzoni, Paula, Coutinho, Artur Martins, de Paula Faria, Daniele, Duran, Fábio Luiz de Souza, Costa, Naomi Antunes da, Porto, Fábio Henrique de Gobbi, Nitrini, Ricardo, Forlenza, Orestes Vicente, Brucki, Sonia Maria Dozzi, Buchpiguel, Carlos Alberto, Parra, Mario A., and Busatto, Geraldo F.

Published
2021
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32. Safety and efficacy of pioglitazone for the delay of cognitive impairment in people at risk of Alzheimer's disease (TOMMORROW): a prognostic biomarker study and a phase 3, randomised, double-blind, placebo-controlled trial

Author

Aarsland, Dag, Ackermann, Oda, Agron-Figueroa, Joscelyn, Arnold, Thomas, Bailey, Peter, Ballard, Clive, Barton, Scott, Belden, Christine, Bergthold, James, Bond, Wendy, Bradley, Ronald, Braude, Walter, Brody, Mark, Brown, Richard, Burke, James, Butchart, Joseph, Campbell, Theresa, Carusa, Sandra, Clarnette, Roger, Cohen, Robert, Connelly, Peter, Copeland, Jacquelynn, Coulthard, Elizabeth, Crusey, Jill, Curtis, Craig, De Sanctis, Virginia, Demakis, George, Denburg, Natalie, Donikyan, Mardik, Doody, Rachelle, Ellenbogen, Aaron, Fleischman, Debra, Floel, Agnes, Forchetti, Concetta, Galvez-Jimenez, Nestor, Goldstein, Jerome, Goldstein, Felicia, Goozee, Kathryn, Gruener, Daniel, Halsten, Jerry, Hassman, Howard, Henderson, Elliot, Herbst, Heinz-Peter, Higham, Steve, Hofner, Ronald, Huang, DeRen, Inglis, Fraser, Johnson, Clark, Kass, Joseph, Kirk, Gregory, Klostermann, Arne, Knopman, Alex, Koplin, Anne, Krefetz, David, Kressig, Reto, Lai, Rosalyn, Lefebvre, Gigi, Leger, Gabriel, Leibowitz, Mark, Levey, Allan, Leyhe, Thomas, Losk, Scott, Lyons, Kara, Martin, Jane, Massman, Paul, McWilliam, Christopher, Micallef, Silvana, Middleton, Lefkos, Miller, Hugh, Mintzer, Jacobo, Mitchell, Robert, Mofsen, Ricky, Monsch, Andreas, Moore, Philip, Munic-Miller, Donna, Nash, Marshall, Neugroschl, Judith, Newson, Margaret, Noad, Rupert, Olivera, Esteban, Olley, Amanda, Omidvar, Omid, Parra, Mario, Pearson, Stephen, Perneczky, Robert, Peters, Oliver, Potter, Guy, Price, Geraint, Raymont, Vanessa, Rice, Linda, Ritchie, Craig, Ritter, Aaron, Robinson, Jennifer, Robinson, Sylvia, Ross, Jeffrey, Rujescu, Dan, Sabbagh, Marwan, Sabet, Ahad, Samson, Laura, Sass, John, Saxena, Manish, Schaerf, Frederick, Schlegel, Eugen, Shah, Raj, Shingleton, Richard, Sohrabi, Hamid, Stephenson, Robert, Stratmann, Liebhild, Tariot, Pierre, Thein, Stephen, Till, Haydn, Voight, Nancy, Votolato, Ralph, Wallace, Lorna, Watson, David, White, Alexander, Woodward, Michael, Zamrini, Edward, Zimmerman, Christina, Burns, Daniel K, Alexander, Robert C, Welsh-Bohmer, Kathleen A, Culp, Meredith, Chiang, Carl, O’Neil, Janet, Evans, Rebecca M, Harrigan, Patrick, Plassman, Brenda L, Burke, James R, Wu, Jingtao, Lutz, Michael W, Haneline, Stephen, Schwarz, Adam J, Schneider, Lon S, Yaffe, Kristine, Saunders, Ann M, and Ratti, Emiliangelo

Published
2021
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34. Short-term memory binding is insensitive to the socioeconomic status of older adults with and without mild cognitive impairment.

Author

Martínez-Flórez, Juan Felipe, Belalcázar, Mateo, Alvarez, Alexandrina, Erazo, Oscar, Sevilla, SairyTupak, and Parra, Mario Alfredo

Subjects
VISUAL memory, AMNESTIC mild cognitive impairment, COGNITIVE aging, MILD cognitive impairment, SOCIOCULTURAL factors
Abstract

Objective: The Visual Short-Term Memory Binding (VSTMB) Test is a useful tool in the assessment of Alzheimer's disease (AD). Research has suggested that short-term memory binding is insensitive to the sociocultural characteristics of the assessed individuals. Such earlier studies addressed this influence by considering years of education. The current study aims to determine the influence of sociocultural factors via a measure of Socioeconomic Status (SES) which provides a more holistic approach to these common confounders. Methods: A sample of 126 older adults, both with (n = 59) and without (n = 67) amnestic mild cognitive impairment (aMCI), underwent assessment using a neuropsychological protocol including VSTMB test. All participants were classified as either high SES or low SES, employing the Standard Demographic Classification from the European Society for Opinion and Marketing Research. Results: ANOVA/ANCOVA models confirmed that performance of healthy and aMCI participants on traditional neuropsychological tests were sensitive to SES whereas the VSTMB Test was not. The results add to the growing array of evidence suggesting that there are cognitive abilities which are unaffected by socioeconomic factors, regardless of clinical condition. Conclusions: The lack of sensitivity to sociocultural factors previously reported for the VSTMB test is accompanied by a lack of sensitivity to socioeconomic factors thus broadening the scope of this test to aid in the detection of dementia across populations with different backgrounds. Future studies should take these findings forward and explore the potential influences of AD biomarkers (A/T/N) on the association between cognitive functions and demographic variables. [ABSTRACT FROM AUTHOR]

Published
2024
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35. Saturated Fatty Acids in Wool as Markers Related to Intramuscular Fat Content in Lambs.

Author

Inostroza, Karla, Larama, Giovanni, Díaz-Matus de la Parra, Mario, Bravo, Silvana, Rodríguez, Romina, Guerrero, Ana, and Cancino-Baier, David

Subjects
SATURATED fatty acids, NEAR infrared spectroscopy, MEAT quality, CONSUMER preferences, DISCRIMINANT analysis, ERECTOR spinae muscles
Abstract

Simple Summary: Intramuscular fat (IMF) is related to meat quality and consumer preferences. Several analytical methods involving solvents have been developed to determine IMF and are used to validate rapid and nondestructive new technologies, such as tomography, Raman spectroscopy and NIR. The current study assessed the fatty acid (FA) composition of wool and its relationship to IMF in the Longissimus lumborum muscle of lambs. Wool has the potential for non-invasive sampling, reflecting the animal's metabolism over the past 2 or 3 weeks, and can be stored for long periods of time. The results of this experiment suggest that saturated FA in wool could potentially be used to determine the IMF of lamb. The aim of this study was to identify Longissimus lumborum (LL) muscle from lambs with high IMF content (≥3%) using wool FA. The FA composition was characterized in two sections of wool from Suffolk Down lambs, and its relationship with IMF content assessed. One hundred and forty lambs of similar body weight, body condition score, and age were selected. IMF content from LL muscle, and the wool fat and FA composition of the wool were determined. The proportions of FAs in the wool of lambs with low IMF were 51.96 ± 7.3% of saturated, 31.96 ± 7.7% polyunsaturated, and 16.08 ± 2.3% monounsaturated. Similar proportions of FAs were observed in wool samples of lambs with high IMF. Significant differences were found only in the SFA proportion between groups (p < 0.05). The predominant FAs in the wool samples were C16:0, C17:0, C18:0, C18:1n9c and C18:2n6c, representing over 60% of total FA methyl esters. Correlations were found between the wool FAs C16:1, C17:0, C18:0, C18:1n9c, C24:0, and C22:6n3 in wool samples divided into two sections. Discriminant analysis identified SFAs, particularly FAs C22:0 and C24:0, as potential candidate for predicting lambs with high IMF content with an accuracy of over 92%. These results provide to our knowledge evidence that IMF content could potentially be determined using wool FAs as a non-invasive method. [ABSTRACT FROM AUTHOR]

Published
2024
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36. Advancements in dementia research, diagnostics, and care in Latin America: Highlights from the 2023 Alzheimer's Association International conference satellite symposium in Mexico City

Author

Sosa, Ana Luisa, primary, Brucki, Sonia MD, additional, Crivelli, Lucia, additional, Lopera, Francisco Javier, additional, Acosta, Daisy M, additional, Acosta‐Uribe, Juliana, additional, Aguilar, Diego, additional, Aguilar‐Navarro, Sara G, additional, Allegri, Ricardo F, additional, Bertolucci, Paulo HF, additional, Calandri, Ismael L, additional, Carrillo, Maria C, additional, Mendez, Patricio Alexis Chrem, additional, Cornejo‐Olivas, Mario, additional, Custodio, Nilton, additional, Damian, Andrés, additional, de Souza, Leonardo Cruz, additional, Duran‐Aniotz, Claudia, additional, García, Adolfo M, additional, García‐Peña, Carmen, additional, Gonzales, Mitzi M, additional, Grinberg, Lea T, additional, Ibanez, Agustin M, additional, Illanes‐Manrique, Maryenela Zaida, additional, Jack, Clifford R, additional, Leon‐Salas, Jorge Mario, additional, Llibre‐Guerra, Jorge J, additional, Luna‐Muñoz, José, additional, Matallana, Diana, additional, Miller, Bruce L, additional, Naci, Lorina, additional, Parra, Mario A, additional, Pericak‐Vance, Margaret, additional, Piña‐Escudero, Stefanie D, additional, França Resende, Elisa de Paula, additional, Ringman, John M, additional, Sevlever, Gustavo, additional, Slachevsky, Andrea, additional, Suemoto, Claudia Kimie, additional, Valcour, Victor, additional, Villegas‐Lanau, Andres, additional, Yassuda, Mônica S, additional, Mahinrad, Simin, additional, and Sexton, Claire, additional

Published
2024
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37. The Mediterranean diet is not associated with neuroimaging or cognition in middle‐aged adults: a cross‐sectional analysis of the PREVENT dementia programme

Author

Gregory, Sarah, primary, Buller‐Peralta, Ingrid, additional, Bridgeman, Katie, additional, Góngora, Vanessa De La Cruz, additional, Dounavi, Maria‐Eleni, additional, Low, Audrey, additional, Ntailianis, Georgios, additional, O'Brien, John, additional, Parra, Mario A., additional, Ritchie, Craig W., additional, Ritchie, Karen, additional, Shannon, Oliver M., additional, Stevenson, Emma J., additional, and Muniz‐Terrera, Graciela, additional

Published
2024
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39. Viscous dynamics associated with hypoexcitation and structural disintegration in neurodegeneration via generative whole‐brain modeling

Author

Coronel‐Oliveros, Carlos, primary, Gómez, Raúl Gónzalez, additional, Ranasinghe, Kamalini, additional, Sainz‐Ballesteros, Agustín, additional, Legaz, Agustina, additional, Fittipaldi, Sol, additional, Cruzat, Josephine, additional, Herzog, Rubén, additional, Yener, Gorsev, additional, Parra, Mario, additional, Aguillon, David, additional, Lopera, Francisco, additional, Santamaria‐Garcia, Hernando, additional, Moguilner, Sebastián, additional, Medel, Vicente, additional, Orio, Patricio, additional, Whelan, Robert, additional, Tagliazucchi, Enzo, additional, Prado, Pavel, additional, and Ibañez, Agustín, additional

Published
2024
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44. A Multidimensional, Person-Centered Framework for Functional Assessment in Dementia: Insights from the 'What', 'How', 'To Whom', and 'How Much' Questions.

Author

Slachevsky, Andrea, Grandi, Fabrissio, Thumala, Daniela, Baez, Sandra, Santamaria-García, Hernando, Schmitter-Edgecombe, Maureen, and Parra, Mario A.

Subjects
FUNCTIONAL assessment, DEMENTIA, MILD cognitive impairment, NEUROBEHAVIORAL disorders, ACTIVITIES of daily living
Abstract

Dementia is a syndrome characterized by cognitive and neuropsychiatric symptoms associated with progressive functional decline (FD). FD is a core diagnostic criterion for dementia, setting the threshold between its prodromal stages and the full-blown disease. The operationalization of FD continues to generate a great deal of controversy. For instance, the threshold of FD for the diagnosis of dementia varies across diagnostic criteria, supporting the need for standardization of this construct. Moreover, there is a need to reconsider how we are measuring FD to set boundaries between normal aging, mild cognitive impairment, and dementia. In this paper, we propose a multidimensional framework that addresses outstanding issues in the assessment of FD: i) What activities of daily living (ADLs) are necessary to sustain an independent living in aging? ii) How to assess FD in individuals with suspected neurocognitive disorders? iii) To whom is the assessment directed? and iv) How much does FD differentiate healthy aging from mild and major neurocognitive disorders? Importantly, the To Whom Question introduces a person-centered approach that regards patients and caregivers as active agents in the assessment process of FD. Thus, once impaired ADLs have been identified, patients can indicate how significant such impairments are for them in daily life. We envisage that this new framework will guide future strategies to enhance functional assessment and treatment of patients with dementia and their caregivers. [ABSTRACT FROM AUTHOR]

Published
2024
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45. Perspectives on ethnic and racial disparities in Alzheimer's disease and related dementias: Update and areas of immediate need

Author

Babulal, Ganesh M., Quiroz, Yakeel T., Albensi, Benedict C., Arenaza-Urquijo, Eider, Astell, Arlene J., Babiloni, Claudio, Bahar-Fuchs, Alex, Bell, Joanne, Bowman, Gene L., Brickman, Adam M., Chételat, Gaël, Ciro, Carrie, Cohen, Ann D., Dilworth-Anderson, Peggye, Dodge, Hiroko H., Dreux, Simone, Edland, Steven, Esbensen, Anna, Evered, Lisbeth, Ewers, Michael, Fargo, Keith N., Fortea, Juan, Gonzalez, Hector, Gustafson, Deborah R., Head, Elizabeth, Hendrix, James A., Hofer, Scott M., Johnson, Leigh A., Jutten, Roos, Kilborn, Kerry, Lanctôt, Krista L., Manly, Jennifer J., Martins, Ralph N., Mielke, Michelle M., Morris, Martha Clare, Murray, Melissa E., Oh, Esther S., Parra, Mario A., Rissman, Robert A., Roe, Catherine M., Santos, Octavio A., Scarmeas, Nikolaos, Schneider, Lon S., Schupf, Nicole, Sikkes, Sietske, Snyder, Heather M., Sohrabi, Hamid R., Stern, Yaakov, Strydom, Andre, Tang, Yi, Terrera, Graciela Muniz, Teunissen, Charlotte, Melo van Lent, Debora, Weinborn, Michael, Wesselman, Linda, Wilcock, Donna M., Zetterberg, Henrik, and O'Bryant, Sid E.

Published
2019
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46. Prevalence of Mild Cognitive Impairment in Southern Regions of Colombia

Author

Bonilla-Santos, Jasmin, primary, González-Hernández, Alfredis, additional, Cala-Martínez, Dorian Yisela, additional, Gómez-Morales, Duván Fernando, additional, Calceto-Garavito, Laura Natalia, additional, Forero-Aldana, Arnulfo Eduardo, additional, González-Montealegre, Rodrigo Alberto, additional, Cardona Cumaco, Yeing Alexandra, additional, Rojas-Bernal, Luz Angela, additional, Zabaleta-Orozco, Mario Alberto, additional, and Parra, Mario Alfredo, additional

Published
2023
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