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1. Dementia risk reduction in the African context: Multi-national implementation of multimodal strategies to promote healthy brain aging in Africa (the Africa-FINGERS project).

Author

Udeh-Momoh, Chinedu, Maina, Rachel, Anazodo, Udunna, Akinyemi, Rufus, Atwoli, Lukoye, Baker, Laura, Bassil, Darina, Blackmon, Karen, Bosire, Edna, Chemutai, Gloria, Crivelli, Lucia, Eze, Laz, Ibanez, Agustin, Kafetsouli, Dimitra, Karikari, Thomas, Khakali, Linda, Kumar, Manasi, Lengyel, Imre, de Jager Loots, Celeste, Mangialasche, Francesca, Mbugua, Sylvia, Merali, Zul, Mielke, Michelle, Mostert, Cyprian, Muthoni, Eunice, Nesic-Taylor, Olivera, Ngugi, Anthony, Nguku, Samuel, Ogunniyi, Adesola, Ogunyemi, Adedoyin, Okonkwo, Ozioma, Okubadejo, Njideka, Perneczky, Robert, Peto, Tunde, Rianga, Roselyter, Saleh, Mansoor, Sayed, Shaheen, Shah, Jasmit, Shah, Sheena, Solomon, Alina, Thesen, Thomas, Trepel, Dominic, Ucheagwu, Valentine, Valcour, Victor, Waa, Sheila, Watermeyer, Tamlyn, Yokoyama, Jennifer, Zetterberg, Henrik, and Kivipelto, Miia

Subjects
Alzheimers disease, brain banking, community‐based participatory research, dementia prevention trials, fluid and neuroimaging biomarkers, health economics, implementation science, retinal imaging
Abstract

Dementia prevention in Africa is critically underexplored, despite the continents high prevalence of modifiable risk factors. With a predominantly young and middle-aged population, Africa presents a prime opportunity to implement evidence-based strategies that could significantly reduce future dementia cases and mitigate its economic impact. The multinational Africa-FINGERS program offers an innovative solution, pioneering culturally sensitive, multidomain interventions tailored to the unique challenges of the region.  Leveraging insights from landmark global studies such as Worldwide-FINGERS and Alzheimers Disease Neuroimaging Initiative, the program employs a multideterminant precision prevention framework, grounded in community based systems dynamics. Africa-FINGERS further integrates cutting-edge state-of-the-art multimodal biomarker evaluations tailored to regional contexts, with the goal of advancing brain health and establishing a global standard for dementia prevention. This groundbreaking initiative highlights the potential for scalableand sustainable interventions, thus is poised to transform dementia risk reduction efforts across the continent. HIGHLIGHTS: Dementia rates are escalating in Africa, largely due to longer life spans and increased prevalence of modifiable risk factors. Yet, few regional interventions have directly targeted lifestyle factors to reduce dementia risk. The multinational Africa-FINGERS study will address this gap by adapting the successful FINGERS lifestyle intervention to African populations. Africa-FINGERS will pioneer a culturally informed, multidomain dementia risk reduction intervention in the African region through feasibility dementia prevention trials in rural and urban sites across Kenya and Nigeria in the first instance, enrolling 600 at-risk adults (≥ 50 years). The program adopts participatory research methods to develop culturally appropriate interventions and build infrastructure to evaluate dementia biomarkers from ante and post mortem samples. A cost-effectiveness analysis will be conducted to guide the strategic implementation of Africa-FINGERS into regional health systems. The Africa-FINGERS strategy aligns with the Worldwide-FINGERS framework and integrates the global Alzheimers Disease Neuroimaging Initiative approach, emphasizing multimodal analysis.

Published
2024

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, Cerebrovascular, Aging, Brain Disorders, Basic Behavioral and Social Science, Dementia, Neurosciences, Alzheimer's Disease, Alzheimer's Disease Related Dementias (ADRD), Behavioral and Social Science, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Vascular Cognitive Impairment/Dementia, Neurodegenerative, Health Disparities, Bioengineering, Minority Health, Acquired Cognitive Impairment, Clinical Research, Neurological, Brain, Humans, Alzheimer Disease, Magnetic Resonance Imaging, Electroencephalography, Socioeconomic Factors, Aged, Aged, 80 and over, Middle Aged, Female, Male, Health Status Disparities, Cognitive Dysfunction, 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. 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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4. The 2022 symposium on dementia and brain aging in low‐ and middle‐income countries: Highlights on research, diagnosis, care, and impact

Author

Kalaria, Raj, Maestre, Gladys, Mahinrad, Simin, Acosta, Daisy M, Akinyemi, Rufus Olusola, Alladi, Suvarna, Allegri, Ricardo F, Arshad, Faheem, Babalola, David Oluwasayo, Baiyewu, Olusegun, Bak, Thomas H, Bellaj, Tarek, Brodie‐Mends, David K, Carrillo, Maria C, Celestin, Kaputu‐Kalala‐Malu, Damasceno, Albertino, de Silva, Ranil Karunamuni, de Silva, Rohan, Djibuti, Mamuka, Dreyer, Anna Jane, Ellajosyula, Ratnavalli, Farombi, Temitope H, Friedland, Robert P, Garza, Noe, Gbessemehlan, Antoine, Georgiou, Eliza Eleni‐Zacharoula, Govia, Ishtar, Grinberg, Lea T, Guerchet, Maëlenn, Gugssa, Seid Ali, Gumikiriza‐Onoria, Joy Louise, Hogervorst, Eef, Hornberger, Michael, Ibanez, Agustin, Ihara, Masafumi, Issac, Thomas Gregor, Jönsson, Linus, Karanja, Wambui M, Lee, Joseph H, Leroi, Iracema, Livingston, Gill, Manes, Facundo Francisco, Mbakile‐Mahlanza, Lingani, Miller, Bruce L, Musyimi, Christine Wayua, Mutiso, Victoria N, Nakasujja, Noeline, Ndetei, David M, Nightingale, Sam, Novotni, Gabriela, Nyamayaro, Primrose, Nyame, Solomon, Ogeng'o, Julius A, Ogunniyi, Adesola, de Oliveira, Maira Okada, Okubadejo, Njideka U, Orrell, Martin, Paddick, Stella‐Maria, Pericak‐Vance, Margaret A, Pirtosek, Zvezdan, Potocnik, Felix Claude Victor, Raman, Rema, Rizig, Mie, Rosselli, Mónica, Salokhiddinov, Marufjon, Satizabal, Claudia L, Sepulveda‐Falla, Diego, Seshadri, Sudha, Sexton, Claire E, Skoog, Ingmar, St George‐Hyslop, Peter H, Suemoto, Claudia Kimie, Thapa, Prekshy, Udeh‐Momoh, Chinedu Theresa, Valcour, Victor, Vance, Jeffery M, Varghese, Mathew, Vera, Jaime H, Walker, Richard W, Zetterberg, Henrik, Zewde, Yared Z, and Ismail, Ozama

Subjects
Biomedical and Clinical Sciences, Biological Psychology, Clinical Sciences, Neurosciences, Psychology, Prevention, Brain Disorders, Aging, Neurodegenerative, Dementia, Acquired Cognitive Impairment, Neurological, Good Health and Well Being, Humans, Developing Countries, Brain, Congresses as Topic, Biomedical Research, Alzheimer's disease, dementia, diversity, high-income countries, low- and middle-income countries, risk factors, vascular dementia, high‐income countries, low‐ and middle‐income countries, Geriatrics, Clinical sciences, Biological psychology
Abstract

Two of every three persons living with dementia reside in low- and middle-income countries (LMICs). The projected increase in global dementia rates is expected to affect LMICs disproportionately. However, the majority of global dementia care costs occur in high-income countries (HICs), with dementia research predominantly focusing on HICs. This imbalance necessitates LMIC-focused research to ensure that characterization of dementia accurately reflects the involvement and specificities of diverse populations. Development of effective preventive, diagnostic, and therapeutic approaches for dementia in LMICs requires targeted, personalized, and harmonized efforts. Our article represents timely discussions at the 2022 Symposium on Dementia and Brain Aging in LMICs that identified the foremost opportunities to advance dementia research, differential diagnosis, use of neuropsychometric tools, awareness, and treatment options. We highlight key topics discussed at the meeting and provide future recommendations to foster a more equitable landscape for dementia prevention, diagnosis, care, policy, and management in LMICs. HIGHLIGHTS: Two-thirds of persons with dementia live in LMICs, yet research and costs are skewed toward HICs. LMICs expect dementia prevalence to more than double, accompanied by socioeconomic disparities. The 2022 Symposium on Dementia in LMICs addressed advances in research, diagnosis, prevention, and policy. The Nairobi Declaration urges global action to enhance dementia outcomes in LMICs.

Published
2024

6. The impacts of social determinants of health and cardiometabolic factors on cognitive and functional aging in Colombian underserved populations.

Author

Santamaria-Garcia, Hernando, Moguilner, Sebastian, Rodriguez-Villagra, Odir, Botero-Rodriguez, Felipe, Pina-Escudero, Stefanie, ODonovan, Gary, Albala, Cecilia, Matallana, Diana, Schulte, Michael, Slachevsky, Andrea, Possin, Katherine, Ndhlovu, Lishomwa, Al-Rousan, Tala, Corley, Michael, Kosik, Kenneth, Muniz-Terrera, Graciela, Miranda, J, Ibanez, Agustin, and Yokoyama, Jennifer

Subjects
Cardiometabolic factors, Cognition, Functionality, National Aging Population Survey, Social determinants of Health, Humans, Social Factors, Social Determinants of Health, Cross-Sectional Studies, Colombia, Vulnerable Populations, Aging, Cognition, Cardiovascular Diseases
Abstract

Global initiatives call for further understanding of the impact of inequity on aging across underserved populations. Previous research in low- and middle-income countries (LMICs) presents limitations in assessing combined sources of inequity and outcomes (i.e., cognition and functionality). In this study, we assessed how social determinants of health (SDH), cardiometabolic factors (CMFs), and other medical/social factors predict cognition and functionality in an aging Colombian population. We ran a cross-sectional study that combined theory- (structural equation models) and data-driven (machine learning) approaches in a population-based study (N = 23,694; M = 69.8 years) to assess the best predictors of cognition and functionality. We found that a combination of SDH and CMF accurately predicted cognition and functionality, although SDH was the stronger predictor. Cognition was predicted with the highest accuracy by SDH, followed by demographics, CMF, and other factors. A combination of SDH, age, CMF, and additional physical/psychological factors were the best predictors of functional status. Results highlight the role of inequity in predicting brain health and advancing solutions to reduce the cognitive and functional decline in LMICs.

Published
2023

7. 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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11. Can prosocial values improve brain health?

Author

Ibanez, Agustin, Matallana, Diana, and Miller, Bruce

Subjects
Allostasis, brain health, cooperation, empathy, moral cognition, prosocial values, prosociality, social cognition, Behavioral and Social Science, Brain Disorders, Clinical Research, Mental Health, Basic Behavioral and Social Science, Neurosciences, 1.2 Psychological and socioeconomic processes, 2.3 Psychological, social and economic factors, Aetiology, Underpinning research, Mental health, Neurological, Good Health and Well Being, Clinical Sciences, Psychology
Abstract

Prosocial values play a critical role in promoting care and concern for the well-being of others and prioritizing the common good of society. Evidence from population-based reports, cognitive neuroscience, and clinical studies suggests that these values depend on social cognition processes, such as empathy, deontological moral cognition, moral emotions, and social cooperation. Additionally, indirect evidence suggests that various forms of prosocial behaviors are associated with positive health outcomes at the behavioral, cardiovascular, immune, stress-related, and inflammatory pathways. However, it is unclear whether prosociality can positively influence brain health outcomes. In this perspective, we propose that prosocial values are not only influenced by brain conditions but could also potentially play a role in protecting brain health. We review studies from various fields that support this claim, including recent reports of prosociality-based interventions impacting brain health. We then explore potential multilevel mechanisms, based on the reduction of allostatic overload at behavioral, cardiovascular, immune, stress-related, and inflammatory levels. Finally, we propose potential prosociality-based interventions for improving brain health in at-risk populations, such as psychiatric and neurological patients, and individuals exposed to poverty or violence. Our perspective suggests that prosocial values may play a role in promoting and maintaining healthy brains.

Published
2023

12. Next generation brain health: transforming global research and public health to promote prevention of dementia and reduce its risk in young adult populations

Author

Farina, Francesca R, Bridgeman, Katie, Gregory, Sarah, Crivelli, Lucía, Foote, Isabelle F, Jutila, Otto-Emil I, Kucikova, Ludmila, Mariano, Luciano I, Nguyen, Kim-Huong, Thayanandan, Tony, Akindejoye, Funmi, Butler, Joe, Calandri, Ismael L, Čepukaitytė, Giedrė, Chiesa, Scott T, Dawson, Walter D, Deckers, Kay, Cruz-Góngora, Vanessa De la, Dounavi, Maria-Eleni, Govia, Ishtar, Guzmán-Vélez, Edmarie, Heikal, Shimaa A, Hill-Jarrett, Tanisha G, Ibáñez, Agustín, James, Bryan D, McGlinchey, Eimear, Mullin, Donncha S, Muniz-Terrera, Graciela, Pintado Caipa, Maritza, Qansuwa, Esraa M, Robinson, Louise, Santuccione Chadha, Antonella, Shannon, Oliver M, Su, Li, Weidner, Wendy, and Booi, Laura

Published
2024
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13. Heterogeneous factors influence social cognition across diverse settings in brain health and age-related diseases

Author

Fittipaldi, Sol, Legaz, Agustina, Maito, Marcelo, Hernandez, Hernan, Altschuler, Florencia, Canziani, Veronica, Moguilner, Sebastian, Gillan, Claire M., Castillo, Josefina, Lillo, Patricia, Custodio, Nilton, Avila-Funes, José Alberto, Cardona, Juan Felipe, Slachevsky, Andrea, Henriquez, Fernando, Fraile-Vazquez, Matias, Cruz de Souza, Leonardo, Borroni, Barbara, Hornberger, Michael, Lopera, Francisco, Santamaria-Garcia, Hernando, Matallana, Diana, Reyes, Pablo, Gonzalez-Campo, Cecilia, Bertoux, Maxime, and Ibanez, Agustin

Published
2024
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15. Unveiling Trail Making Test: Visual and manual trajectories indexing multiple executive processes

Author

Linari, Ignacio, Juantorena, Gustavo, Ibañez, Agustin, Petroni, Agustin, and Kamienkowski, Juan E.

Subjects
Quantitative Biology - Neurons and Cognition
Abstract

The Trail Making Test (TMT) is one of the most popular neuropsychological tests in the clinical assessment of executive functions (EF) and research in a wide range of clinical conditions. In addition to its sensitivity to executive dysfunction, the TMT presents several strengths: it is simple and intuitive, it is easy to understand for patients, and has a short administration. However, it has important limitations. First, the underlying EFs articulated during the task are not well discriminated, which makes it a test with low specificity. Second, the traditional pen-and-paper version presents one trial per condition which introduces high variability. Third, only the total time is quantified, which does not allow for a detailed analysis. Fourth, it has a fixed spatial configuration per condition. In the present study we designed a computerized version of the TMT (cTMT) to overcome its main limitations. Eye and hand positions are simultaneously measured with high resolution, several trials are acquired, and spatial configuration of the targets is controlled. Our results showed a very similar performance profile compared to the traditional TMT. Moreover, it revealed similarities and differences in eye movements between the two parts of the task. Most importantly, we found an internal working memory measure of the cTMT based on hand and eye movements that showed an association to a validated working memory task. Additionally, we found another internal measure of the TMT, also based on hand and eye movements, that we propose as a potential marker of inhibitory control. Our results showed that executive functions can be studied in more detail using traditional tests combined with powerful digital setups. Finally, our study paved the way for a detailed analysis of other complex tasks used for clinical evaluation, providing a deeper understanding of the processes underlying its resolution.

Published
2021

17. 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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20. Allostasis, health, and development in Latin America

Author

Migeot, Joaquín, Panesso, Carolina, Duran-Aniotz, Claudia, Ávila-Rincón, Cristian, Ochoa, Carolina, Huepe, David, Santamaría-García, Hernando, Miranda, J. Jaime, Escobar, María Josefina, Pina-Escudero, Stefanie, Romero-Ortuno, Roman, Lawlor, Brian, Ibáñez, Agustín, and Lipina, Sebastián

Published
2024
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23. The Human Affectome

Author

Schiller, Daniela, Yu, Alessandra N.C., Alia-Klein, Nelly, Becker, Susanne, Cromwell, Howard C., Dolcos, Florin, Eslinger, Paul J., Frewen, Paul, Kemp, Andrew H., Pace-Schott, Edward F., Raber, Jacob, Silton, Rebecca L., Stefanova, Elka, Williams, Justin H.G., Abe, Nobuhito, Aghajani, Moji, Albrecht, Franziska, Alexander, Rebecca, Anders, Silke, Aragón, Oriana R., Arias, Juan A., Arzy, Shahar, Aue, Tatjana, Baez, Sandra, Balconi, Michela, Ballarini, Tommaso, Bannister, Scott, Banta, Marlissa C., Barrett, Karen Caplovitz, Belzung, Catherine, Bensafi, Moustafa, Booij, Linda, Bookwala, Jamila, Boulanger-Bertolus, Julie, Boutros, Sydney Weber, Bräscher, Anne-Kathrin, Bruno, Antonio, Busatto, Geraldo, Bylsma, Lauren M., Caldwell-Harris, Catherine, Chan, Raymond C.K., Cherbuin, Nicolas, Chiarella, Julian, Cipresso, Pietro, Critchley, Hugo, Croote, Denise E., Demaree, Heath A., Denson, Thomas F., Depue, Brendan, Derntl, Birgit, Dickson, Joanne M., Dolcos, Sanda, Drach-Zahavy, Anat, Dubljević, Olga, Eerola, Tuomas, Ellingsen, Dan-Mikael, Fairfield, Beth, Ferdenzi, Camille, Friedman, Bruce H., Fu, Cynthia H.Y., Gatt, Justine M., de Gelder, Beatrice, Gendolla, Guido H.E., Gilam, Gadi, Goldblatt, Hadass, Gooding, Anne Elizabeth Kotynski, Gosseries, Olivia, Hamm, Alfons O., Hanson, Jamie L., Hendler, Talma, Herbert, Cornelia, Hofmann, Stefan G., Ibanez, Agustin, Joffily, Mateus, Jovanovic, Tanja, Kahrilas, Ian J., Kangas, Maria, Katsumi, Yuta, Kensinger, Elizabeth, Kirby, Lauren A.J., Koncz, Rebecca, Koster, Ernst H.W., Kozlowska, Kasia, Krach, Sören, Kret, Mariska E., Krippl, Martin, Kusi-Mensah, Kwabena, Ladouceur, Cecile D., Laureys, Steven, Lawrence, Alistair, Li, Chiang-shan R., Liddell, Belinda J., Lidhar, Navdeep K., Lowry, Christopher A., Magee, Kelsey, Marin, Marie-France, Mariotti, Veronica, Martin, Loren J., Marusak, Hilary A., Mayer, Annalina V., Merner, Amanda R., Minnier, Jessica, Moll, Jorge, Morrison, Robert G., Moore, Matthew, Mouly, Anne-Marie, Mueller, Sven C., Mühlberger, Andreas, Murphy, Nora A., Muscatello, Maria Rosaria Anna, Musser, Erica D., Newton, Tamara L., Noll-Hussong, Michael, Norrholm, Seth Davin, Northoff, Georg, Nusslock, Robin, Okon-Singer, Hadas, Olino, Thomas M., Ortner, Catherine, Owolabi, Mayowa, Padulo, Caterina, Palermo, Romina, Palumbo, Rocco, Palumbo, Sara, Papadelis, Christos, Pegna, Alan J., Pellegrini, Silvia, Peltonen, Kirsi, Penninx, Brenda W.J.H., Pietrini, Pietro, Pinna, Graziano, Lobo, Rosario Pintos, Polnaszek, Kelly L., Polyakova, Maryna, Rabinak, Christine, Helene Richter, S., Richter, Thalia, Riva, Giuseppe, Rizzo, Amelia, Robinson, Jennifer L., Rosa, Pedro, Sachdev, Perminder S., Sato, Wataru, Schroeter, Matthias L., Schweizer, Susanne, Shiban, Youssef, Siddharthan, Advaith, Siedlecka, Ewa, Smith, Robert C., Soreq, Hermona, Spangler, Derek P., Stern, Emily R., Styliadis, Charis, Sullivan, Gavin B., Swain, James E., Urben, Sébastien, Van den Stock, Jan, vander Kooij, Michael A., van Overveld, Mark, Van Rheenen, Tamsyn E., VanElzakker, Michael B., Ventura-Bort, Carlos, Verona, Edelyn, Volk, Tyler, Wang, Yi, Weingast, Leah T., Weymar, Mathias, Williams, Claire, Willis, Megan L., Yamashita, Paula, Zahn, Roland, Zupan, Barbra, and Lowe, Leroy

Published
2024
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25. Social and moral psychology of COVID-19 across 69 countries

Author

Azevedo, Flavio, Pavlović, Tomislav, Rêgo, Gabriel G., Ay, F. Ceren, Gjoneska, Biljana, Etienne, Tom W., Ross, Robert M., Schönegger, Philipp, Riaño-Moreno, Julián C., Cichocka, Aleksandra, Capraro, Valerio, Cian, Luca, Longoni, Chiara, Chan, Ho Fai, Van Bavel, Jay J., Sjåstad, Hallgeir, Nezlek, John B., Alfano, Mark, Gelfand, Michele J., Birtel, Michèle D., Cislak, Aleksandra, Lockwood, Patricia L., Abts, Koen, Agadullina, Elena, Aruta, John Jamir Benzon, Besharati, Sahba Nomvula, Bor, Alexander, Choma, Becky L., Crabtree, Charles David, Cunningham, William A., De, Koustav, Ejaz, Waqas, Elbaek, Christian T., Findor, Andrej, Flichtentrei, Daniel, Franc, Renata, Gruber, June, Gualda, Estrella, Horiuchi, Yusaku, Huynh, Toan Luu Duc, Ibanez, Agustin, Imran, Mostak Ahamed, Israelashvili, Jacob, Jasko, Katarzyna, Kantorowicz, Jaroslaw, Kantorowicz-Reznichenko, Elena, Krouwel, André, Laakasuo, Michael, Lamm, Claus, Leygue, Caroline, Lin, Ming-Jen, Mansoor, Mohammad Sabbir, Marie, Antoine, Mayiwar, Lewend, Mazepus, Honorata, McHugh, Cillian, Minda, John Paul, Mitkidis, Panagiotis, Olsson, Andreas, Otterbring, Tobias, Packer, Dominic J., Perry, Anat, Petersen, Michael Bang, Puthillam, Arathy, Rothmund, Tobias, Santamaría-García, Hernando, Schmid, Petra C., Stoyanov, Drozdstoy, Tewari, Shruti, Todosijević, Bojan, Tsakiris, Manos, Tung, Hans H., Umbres, Radu G., Vanags, Edmunds, Vlasceanu, Madalina, Vonasch, Andrew, Yucel, Meltem, Zhang, Yucheng, Abad, Mohcine, Adler, Eli, Akrawi, Narin, Mdarhri, Hamza Alaoui, Amara, Hanane, Amodio, David M., Antazo, Benedict G., Apps, Matthew, Ba, Mouhamadou Hady, Barbosa, Sergio, Bastian, Brock, Berg, Anton, Bernal-Zárate, Maria P., Bernstein, Michael, Białek, Michał, Bilancini, Ennio, Bogatyreva, Natalia, Boncinelli, Leonardo, Booth, Jonathan E., Borau, Sylvie, Buchel, Ondrej, Cameron, C. Daryl, Carvalho, Chrissie F., Celadin, Tatiana, Cerami, Chiara, Chalise, Hom Nath, Cheng, Xiaojun, Cockcroft, Kate, Conway, Jane, Córdoba-Delgado, Mateo Andres, Crespi, Chiara, Crouzevialle, Marie, Cutler, Jo, Cypryańska, Marzena, Dabrowska, Justyna, Daniels, Michael A., Davis, Victoria H., Dayley, Pamala N., Delouvée, Sylvain, Denkovski, Ognjan, Dezecache, Guillaume, Dhaliwal, Nathan A., Diato, Alelie B., Di Paolo, Roberto, Drosinou, Marianna, Dulleck, Uwe, Ekmanis, Jānis, Ertan, Arhan S., Farhana, Hapsa Hossain, Farkhari, Fahima, Farmer, Harry, Fenwick, Ali, Fidanovski, Kristijan, Flew, Terry, Fraser, Shona, Frempong, Raymond Boadi, Fugelsang, Jonathan A., Gale, Jessica, Garcia-Navarro, E. Begoña, Garladinne, Prasad, Ghajjou, Oussama, Gkinopoulos, Theofilos, Gray, Kurt, Griffin, Siobhán M., Gronfeldt, Bjarki, Gümren, Mert, Gurung, Ranju Lama, Halperin, Eran, Harris, Elizabeth, Herzon, Volo, Hruška, Matej, Huang, Guanxiong, Hudecek, Matthias F. C., Isler, Ozan, Jangard, Simon, Jorgensen, Frederik J., Kachanoff, Frank, Kahn, John, Dangol, Apsara Katuwal, Keudel, Oleksandra, Koppel, Lina, Koverola, Mika, Kubin, Emily, Kunnari, Anton, Kutiyski, Yordan, Laguna, Oscar Moreda, Leota, Josh, Lermer, Eva, Levy, Jonathan, Levy, Neil, Li, Chunyun, Long, Elizabeth U., Maglić, Marina, McCashin, Darragh, Metcalf, Alexander L., Mikloušić, Igor, El Mimouni, Soulaimane, Miura, Asako, Molina-Paredes, Juliana, Monroy-Fonseca, César, Morales-Marente, Elena, Moreau, David, Muda, Rafał, Myer, Annalisa, Nash, Kyle, Nesh-Nash, Tarik, Nitschke, Jonas P., Nurse, Matthew S., Ohtsubo, Yohsuke, de Mello, Victoria Oldemburgo, O’Madagain, Cathal, Onderco, Michal, Palacios-Galvez, M. Soledad, Palomöki, Jussi, Pan, Yafeng, Papp, Zsófia, Pärnamets, Philip, Paruzel-Czachura, Mariola, Pavlović, Zoran, Payán-Gómez, César, Perander, Silva, Pitman, Michael Mark, Prasad, Rajib, Pyrkosz-Pacyna, Joanna, Rathje, Steve, Raza, Ali, Rhee, Kasey, Robertson, Claire E., Rodríguez-Pascual, Iván, Saikkonen, Teemu, Salvador-Ginez, Octavio, Santi, Gaia C., Santiago-Tovar, Natalia, Savage, David, Scheffer, Julian A., Schultner, David T., Schutte, Enid M., Scott, Andy, Sharma, Madhavi, Sharma, Pujan, Skali, Ahmed, Stadelmann, David, Stafford, Clara Alexandra, Stanojević, Dragan, Stefaniak, Anna, Sternisko, Anni, Stoica, Augustin, Stoyanova, Kristina K., Strickland, Brent, Sundvall, Jukka, Thomas, Jeffrey P., Tinghög, Gustav, Torgler, Benno, Traast, Iris J., Tucciarelli, Raffaele, Tyrala, Michael, Ungson, Nick D., Uysal, Mete S., Van Lange, Paul A. M., van Prooijen, Jan-Willem, van Rooy, Dirk, Västfjäll, Daniel, Verkoeijen, Peter, Vieira, Joana B., von Sikorski, Christian, Walker, Alexander Cameron, Watermeyer, Jennifer, Wetter, Erik, Whillans, Ashley, White, Katherine, Habib, Rishad, Willardt, Robin, Wohl, Michael J. A., Wójcik, Adrian Dominik, Wu, Kaidi, Yamada, Yuki, Yilmaz, Onurcan, Yogeeswaran, Kumar, Ziemer, Carolin-Theresa, Zwaan, Rolf A., Boggio, Paulo S., and Sampaio, Waldir M.

Published
2023
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29. Life-Course Brain Health as a Determinant of Late-Life Mental Health: American Association for Geriatric Psychiatry Expert Panel Recommendations

Author

Eyre, Harris A., Stirland, Lucy E., Jeste, Dilip V., Reynolds, Charles F., III, Berk, Michael, Ibanez, Agustin, Dawson, Walter D., Lawlor, Brian, Leroi, Iracema, Yaffe, Kristine, Gatchel, Jennifer R., Karp, Jordan F., Newhouse, Paul, Rosand, Jonathan, Letourneau, Nicole, Bayen, Eleonore, Farina, Francesca, Booi, Laura, Devanand, Devangere P., Mintzer, Jacobo, Madigan, Sheri, Jayapurwala, Inez, Wong, Stephen T.C., Falcoa, Veronica Podence, Cummings, Jeffrey L., Reichman, William, Lock, Sarah Lenz, Bennett, Marc, Ahuja, Rajiv, Steffens, David C., Elkind, Mitchell S.V., and Lavretsky, Helen

Published
2023
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32. 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

33. The Multi-Partner Consortium to Expand Dementia Research in Latin America (ReDLat): Driving Multicentric Research and Implementation Science.

Author

Ibanez, Agustin, Yokoyama, Jennifer S, Possin, Katherine L, Matallana, Diana, Lopera, Francisco, Nitrini, Ricardo, Takada, Leonel T, Custodio, Nilton, Sosa Ortiz, Ana Luisa, Avila-Funes, José Alberto, Behrens, Maria Isabel, Slachevsky, Andrea, Myers, Richard M, Cochran, J Nicholas, Brusco, Luis Ignacio, Bruno, Martin A, Brucki, Sonia MD, Pina-Escudero, Stefanie Danielle, Okada de Oliveira, Maira, Donnelly Kehoe, Patricio, Garcia, Adolfo M, Cardona, Juan Felipe, Santamaria-Garcia, Hernando, Moguilner, Sebastian, Duran-Aniotz, Claudia, Tagliazucchi, Enzo, Maito, Marcelo, Longoria Ibarrola, Erika Mariana, Pintado-Caipa, Maritza, Godoy, Maria Eugenia, Bakman, Vera, Javandel, Shireen, Kosik, Kenneth S, Valcour, Victor, and Miller, Bruce L

Subjects
Alzheimer's disease, Latin America, SDOH, SES, dementia, fronto-temporal dementia, genetics, implementation science, Alzheimer&apos, s disease, Alzheimers disease, Clinical Sciences, Neurosciences, Psychology
Abstract

Dementia is becoming increasingly prevalent in Latin America, contrasting with stable or declining rates in North America and Europe. This scenario places unprecedented clinical, social, and economic burden upon patients, families, and health systems. The challenges prove particularly pressing for conditions with highly specific diagnostic and management demands, such as frontotemporal dementia. Here we introduce a research and networking initiative designed to tackle these ensuing hurdles, the Multi-partner consortium to expand dementia research in Latin America (ReDLat). First, we present ReDLat's regional research framework, aimed at identifying the unique genetic, social, and economic factors driving the presentation of frontotemporal dementia and Alzheimer's disease in Latin America relative to the US. We describe ongoing ReDLat studies in various fields and ongoing research extensions. Then, we introduce actions coordinated by ReDLat and the Latin America and Caribbean Consortium on Dementia (LAC-CD) to develop culturally appropriate diagnostic tools, regional visibility and capacity building, diplomatic coordination in local priority areas, and a knowledge-to-action framework toward a regional action plan. Together, these research and networking initiatives will help to establish strong cross-national bonds, support the implementation of regional dementia plans, enhance health systems' infrastructure, and increase translational research collaborations across the continent.

Published
2021

34. Psychographic Segmentation: Another Lever for Precision Population Brain Health

Author

Smith, Erin, Ibanez, Agustin, Lavretsky, Helen, Berk, Michael, and Eyre, Harris A

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Neurosciences, Psychology, Brain Disorders, Behavioral and Social Science, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Prevention, Acquired Cognitive Impairment, Neurodegenerative, Aging, Clinical Research, Basic Behavioral and Social Science, Dementia, Neurological, Good Health and Well Being, psychographic segmentation, precision, personalized medicine, population health, dementia prevention, patient engagement, precision/personalized medicine, Biochemistry and Cell Biology, Cognitive Sciences, Biological psychology
Abstract

Dementia prevention interventions that address modifiable risk factors for dementia require extensive lifestyle and behavior changes. Strategies are needed to enhance engagement and personalization of the experience at a population level. Precision Population Brain Health aims to improve brain health across the lifespan at a population level. Psychographic segmentation is a core component of Precision Population Brain Health with untapped potential. Psychographic segmentation applies behavioral and social sciences to understanding people's motivations, values, priorities, decision making, lifestyles, personalities, communication preferences, attitudes, and beliefs. Integrating psychographic segmentation into dementia care could provide a more personalized care experience and increased patient engagement, leading to improved health outcomes and reduced costs. Psychographic segmentation can enhance patient engagement for dementia and shift the clinical paradigm from "What is the matter?" to "What matters to you?" Similar benefits of psychographic segmentation can be provided for dementia caregivers. Developing dementia prevention programs that integrate psychographic segmentation could become the basis for creating a shared framework for prevention of non-communicable diseases and brain health disorders at a population level. Integrating psychographic segmentation into digital health tools for dementia prevention programs is especially critical to overcome current suboptimal approaches. Applying psychographic segmentation to dementia prevention has the potential to help people feel a sense of empowerment over their health and improve satisfaction with their health experience-creating a culture shift in the way brain health is approached and paving the way toward Precision Population Brain Health.

Published
2021

35. A Brain Capital Grand Strategy: toward economic reimagination.

Author

Smith, Erin, Ali, Diab, Wilkerson, Bill, Dawson, Walter D, Sobowale, Kunmi, Reynolds, Charles, Berk, Michael, Lavretsky, Helen, Jeste, Dilip, Ng, Chee H, Soares, Jair C, Aragam, Gowri, Wainer, Zoe, Manji, Husseini K, Licinio, Julio, Lo, Andrew W, Storch, Eric, Fu, Ernestine, Leboyer, Marion, Tarnanas, Ioannis, Ibanez, Agustin, Manes, Facundo, Caddick, Sarah, Fillit, Howard, Abbott, Ryan, Robertson, Ian H, Chapman, Sandra B, Au, Rhoda, Altimus, Cara M, Hynes, William, Brannelly, Patrick, Cummings, Jeffrey, and Eyre, Harris A

Subjects
Brain, Humans, Mental Health, Cognition, Efficiency, Neurosciences, Neurology, Aging, Quality-Adjusted Life Years, Socioeconomic Factors, Work, Employment, Investments, Resilience, Psychological, Workforce, COVID-19, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

‘I have not found among my possessions anything which I hold more dear than, or value so much as, my knowledge of the actions of great people, acquired by long experience in contemporary affairs, and a continual study of antiquity.’ The Prince, Machiavelli

Published
2021

37. Modeling the relationship between regional activation and functional connectivity during wakefulness and sleep

Author

Ipiña, Ignacio Perez, Kehoe, Patricio Donnelly, Kringelbach, Morten, Laufs, Helmut, Ibañez, Agustín, Deco, Gustavo, Perl, Yonatan Sanz, and Tagliazucchi, Enzo

Subjects
Quantitative Biology - Neurons and Cognition
Abstract

Global brain activity self-organizes into discrete patterns characterized by distinct behavioral observables and modes of information processing. The human thalamocortical system is a densely connected network where local neural activation reciprocally influences coordinated collective dynamics. We introduce a semi-empirical model to investigate the relationship between regional activation and long-range functional connectivity in the different brain states visited during the natural wake-sleep cycle. Our model combines functional magnetic resonance imaging (fMRI) data, in vivo estimates of structural connectivity, and anatomically-informed priors that constrain the independent variation of regional activation. As expected, priors based on functionally coherent networks resulted in the best fit between empirical and simulated brain activity. We show that sleep progressively divided the cortex into regions presenting opposite dynamical behavior: frontoparietal regions approached a bifurcation towards local oscillatory dynamics, while sensorimotor regions presented stable dynamics governed by noise. In agreement with human electrophysiological experiments, sleep onset induced subcortical deactivation and uncoupling, which was subsequently reversed for deeper stages. Finally, we introduced external forcing of variable intensity to simulate external perturbations, and identifiedthe key regionsespecially relevant for the recovery of wakefulness from deep sleep. Our model represents sleep as a state where long-range decoupling and regional deactivation coexist with the latent capacity for a rapid transition towards wakefulness. The mechanistic insights provided by our simulations allow the in silico parametric exploration of such transitions in terms of external perturbations, with potential applications for the control of physiological and pathological brain states.

Published
2019

38. COVID-19 in older people with cognitive impairment in Latin America

Author

Ibanez, Agustin, Kosik, Kenneth S, and Dementia, for the Latin America and the Caribbean Consortium on

Subjects
Biomedical and Clinical Sciences, Neurosciences, Clinical Sciences, Aged, Aged, 80 and over, Betacoronavirus, COVID-19, Cognitive Dysfunction, Coronavirus Infections, Female, Health Services Accessibility, Humans, Latin America, Male, Middle Aged, Pandemics, Pneumonia, Viral, SARS-CoV-2, Latin America and the Caribbean Consortium on Dementia, Neurology & Neurosurgery, Clinical sciences
Published
2020

39. Brain health INnovation Diplomacy: a model binding diverse disciplines to manage the promise and perils of technological innovation

Author

Ternes, Kylie, Iyengar, Vijeth, Lavretsky, Helen, Dawson, Walter D, Booi, Laura, Ibanez, Agustin, Vahia, Ipsit, Reynolds, Charles, DeKosky, Steven, Cummings, Jeffrey, Miller, Bruce, Perissinotto, Carla, Kaye, Jeffrey, and Eyre, Harris A

Subjects
Psychology, Applied and Developmental Psychology, Brain Disorders, Behavioral and Social Science, Neurosciences, Prevention, Neurological, Good Health and Well Being, Alzheimer Disease, Dementia, Global Health, Humans, Inventions, Technology, Brain health, dementia, Alzheimer's, technology, depression, innovation, diplomacy, entrepreneurship, Alzheimer’s, Medical and Health Sciences, Psychology and Cognitive Sciences, Geriatrics, Applied and developmental psychology
Abstract

BackgroundBrain health diplomacy aims to influence the global policy environment for brain health (i.e. dementia, depression, and other mind/brain disorders) and bridges the disciplines of global brain health, international affairs, management, law, and economics. Determinants of brain health include educational attainment, diet, access to health care, physical activity, social support, and environmental exposures, as well as chronic brain disorders and treatment. Global challenges associated with these determinants include large-scale conflicts and consequent mass migration, chemical contaminants, air quality, socioeconomic status, climate change, and global population aging. Given the rapidly advancing technological innovations impacting brain health, it is paramount to optimize the benefits and mitigate the drawbacks of such technologies.ObjectiveWe propose a working model of Brain health INnovation Diplomacy (BIND).MethodsWe prepared a selective review using literature searches of studies pertaining to brain health technological innovation and diplomacy.ResultsBIND aims to improve global brain health outcomes by leveraging technological innovation, entrepreneurship, and innovation diplomacy. It acknowledges the key role that technology, entrepreneurship, and digitization play and will increasingly play in the future of brain health for individuals and societies alike. It strengthens the positive role of novel solutions, recognizes and works to manage both real and potential risks of digital platforms. It is recognition of the political, ethical, cultural, and economic influences that brain health technological innovation and entrepreneurship can have.ConclusionsBy creating a framework for BIND, we can use this to ensure a systematic model for the use of technology to optimize brain health.

Published
2020

41. Exchanging screen for non-screen sitting time or physical activity might attenuate depression and anxiety: A cross-sectional isotemporal analysis during early pandemics in South America

Author

Sadarangani, Kabir P., Schuch, Felipe Barreto, De Roia, Gabriela, Martínez-Gomez, David, Chávez, Róbinson, Lobo, Pablo, Cristi-Montero, Carlos, Werneck, André O., Alzahrani, Hosam, Ferrari, Gerson, Ibanez, Agustin, Silva, Danilo R., Von Oetinger, Astrid, Matias, Thiago S., Grabovac, Igor, and Meyer, Jacob

Published
2023
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46. 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

47. The power of knowledge about dementia in Latin America across health professionals working on aging.

Author

Ibanez, Agustin, Flichtentrei, Daniel, Hesse, Eugenia, Dottori, Martin, Tomio, Ailin, Slachevsky, Andrea, Serrano, Cecilia M, Gonzalez-Billaut, Christian, Custodio, Nilton, Miranda, Claudia, Bustin, Julian, Cetckovitch, Marcelo, Torrente, Fernando, Olavarria, Loreto, Leon, Tomas, Beber, Barbara Costa, Bruki, Sonia, Suemoto, Claudia K, Nitrini, Ricardo, Miller, Bruce L, and Yokoyama, Jennifer S

Subjects
Latin American and Caribbean countries, behavioral insights, data‐sharing platforms, diagnosis manuals, expert knowledge, public policy, stigma, Genetics, Neurosciences
Abstract

IntroductionExpert knowledge is critical to fight dementia in inequitable regions like Latin American and Caribbean countries (LACs). However, the opinions of aging experts on public policies' accessibility and transmission, stigma, diagnostic manuals, data-sharing platforms, and use of behavioral insights (BIs) are not well known.MethodsWe investigated opinions among health professionals working on aging in LACs (N = 3365) with regression models including expertise-related information (public policies, BI), individual differences (work, age, academic degree), and location.ResultsExperts specified low public policy knowledge (X2  = 41.27, P

Published
2020

48. Robust automated computational approach for classifying frontotemporal neurodegeneration: Multimodal/multicenter neuroimaging.

Author

Donnelly-Kehoe, Patricio Andres, Pascariello, Guido Orlando, García, Adolfo M, Hodges, John R, Miller, Bruce, Rosen, Howie, Manes, Facundo, Landin-Romero, Ramon, Matallana, Diana, Serrano, Cecilia, Herrera, Eduar, Reyes, Pablo, Santamaria-Garcia, Hernando, Kumfor, Fiona, Piguet, Olivier, Ibanez, Agustin, and Sedeño, Lucas

Subjects
Classifiers, Data-driven computational approaches, Dementia, Neuroimaging, bvFTD, Biomedical Imaging, Neurodegenerative, Brain Disorders, Acquired Cognitive Impairment, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Neurosciences, Bioengineering, Clinical Research, Frontotemporal Dementia (FTD), 4.1 Discovery and preclinical testing of markers and technologies, Neurological, Genetics
Abstract

IntroductionTimely diagnosis of behavioral variant frontotemporal dementia (bvFTD) remains challenging because it depends on clinical expertise and potentially ambiguous diagnostic guidelines. Recent recommendations highlight the role of multimodal neuroimaging and machine learning methods as complementary tools to address this problem.MethodsWe developed an automatic, cross-center, multimodal computational approach for robust classification of patients with bvFTD and healthy controls. We analyzed structural magnetic resonance imaging and resting-state functional connectivity from 44 patients with bvFTD and 60 healthy controls (across three imaging centers with different acquisition protocols) using a fully automated processing pipeline, including site normalization, native space feature extraction, and a random forest classifier.ResultsOur method successfully combined multimodal imaging information with high accuracy (91%), sensitivity (83.7%), and specificity (96.6%).DiscussionThis multimodal approach enhanced the system's performance and provided a clinically informative method for neuroimaging analysis. This underscores the relevance of combining multimodal imaging and machine learning as a gold standard for dementia diagnosis.

Published
2019

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