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1. Gene expression networks regulated by human personality

Author

del Val, Coral, Díaz de la Guardia-Bolívar, Elisa, Zwir, Igor, Mishra, Pashupati P., Mesa, Alberto, Salas, Ramiro, Poblete, Guillermo F., de Erausquin, Gabriel, Raitoharju, Emma, Kähönen, Mika, Raitakari, Olli, Keltikangas-Järvinen, Liisa, Lehtimäki, Terho, and Cloninger, Claude Robert

Published
2024
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2. Chronic neuropsychiatric sequelae of SARS‐CoV‐2: Protocol and methods from the Alzheimer's Association Global Consortium

Author

Erausquin, Gabriel A, Snyder, Heather, Brugha, Traolach S, Seshadri, Sudha, Carrillo, Maria, Sagar, Rajesh, Huang, Yueqin, Newton, Charles, Tartaglia, Carmela, Teunissen, Charlotte, Håkanson, Krister, Akinyemi, Rufus, Prasad, Kameshwar, D'Avossa, Giovanni, Gonzalez‐Aleman, Gabriela, Hosseini, Akram, Vavougios, George D, Sachdev, Perminder, Bankart, John, Mors, Niels Peter Ole, Lipton, Richard, Katz, Mindy, Fox, Peter T, Katshu, Mohammad Zia, Iyengar, M Sriram, Weinstein, Galit, Sohrabi, Hamid R, Jenkins, Rachel, Stein, Dan J, Hugon, Jacques, Mavreas, Venetsanos, Blangero, John, Cruchaga, Carlos, Krishna, Murali, Wadoo, Ovais, Becerra, Rodrigo, Zwir, Igor, Longstreth, William T, Kroenenberg, Golo, Edison, Paul, Mukaetova‐Ladinska, Elizabeta, Staufenberg, Ekkehart, Figueredo‐Aguiar, Mariana, Yécora, Agustín, Vaca, Fabiana, Zamponi, Hernan P, Re, Vincenzina Lo, Majid, Abdul, Sundarakumar, Jonas, Gonzalez, Hector M, Geerlings, Mirjam I, Skoog, Ingmar, Salmoiraghi, Alberto, Boneschi, Filippo Martinelli, Patel, Vibuthi N, Santos, Juan M, Arroyo, Guillermo Rivera, Moreno, Antonio Caballero, Felix, Pascal, Gallo, Carla, Arai, Hidenori, Yamada, Masahito, Iwatsubo, Takeshi, Sharma, Malveeka, Chakraborty, Nandini, Ferreccio, Catterina, Akena, Dickens, Brayne, Carol, Maestre, Gladys, Blangero, Sarah Williams, Brusco, Luis I, Siddarth, Prabha, Hughes, Timothy M, Zuñiga, Alfredo Ramírez, Kambeitz, Joseph, Laza, Agustin Ruiz, Allen, Norrina, Panos, Stella, Merrill, David, Ibáñez, Agustín, Tsuang, Debby, Valishvili, Nino, Shrestha, Srishti, Wang, Sophia, Padma, Vasantha, Anstey, Kaarin J, Ravindrdanath, Vijayalakshmi, Blennow, Kaj, Mullins, Paul, Łojek, Emilia, Pria, Anand, Mosley, Thomas H, Gowland, Penny, Girard, Timothy D, Bowtell, Richard, and Vahidy, Farhaan S

Subjects
Neurosciences, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Brain Disorders, Alzheimer's Disease, Infectious Diseases, Emerging Infectious Diseases, Clinical Research, Dementia, Neurodegenerative, Prevention, Acquired Cognitive Impairment, Aging, Aetiology, 2.1 Biological and endogenous factors, Neurological, Good Health and Well Being, cognitive impairment, dementia, neuropsychiatric sequelae, predictors, SARS-CoV-2, SARS‐CoV‐2
Abstract

IntroductionCoronavirus disease 2019 (COVID-19) has caused >3.5 million deaths worldwide and affected >160 million people. At least twice as many have been infected but remained asymptomatic or minimally symptomatic. COVID-19 includes central nervous system manifestations mediated by inflammation and cerebrovascular, anoxic, and/or viral neurotoxicity mechanisms. More than one third of patients with COVID-19 develop neurologic problems during the acute phase of the illness, including loss of sense of smell or taste, seizures, and stroke. Damage or functional changes to the brain may result in chronic sequelae. The risk of incident cognitive and neuropsychiatric complications appears independent from the severity of the original pulmonary illness. It behooves the scientific and medical community to attempt to understand the molecular and/or systemic factors linking COVID-19 to neurologic illness, both short and long term.MethodsThis article describes what is known so far in terms of links among COVID-19, the brain, neurological symptoms, and Alzheimer's disease (AD) and related dementias. We focus on risk factors and possible molecular, inflammatory, and viral mechanisms underlying neurological injury. We also provide a comprehensive description of the Alzheimer's Association Consortium on Chronic Neuropsychiatric Sequelae of SARS-CoV-2 infection (CNS SC2) harmonized methodology to address these questions using a worldwide network of researchers and institutions.ResultsSuccessful harmonization of designs and methods was achieved through a consensus process initially fragmented by specific interest groups (epidemiology, clinical assessments, cognitive evaluation, biomarkers, and neuroimaging). Conclusions from subcommittees were presented to the whole group and discussed extensively. Presently data collection is ongoing at 19 sites in 12 countries representing Asia, Africa, the Americas, and Europe.DiscussionThe Alzheimer's Association Global Consortium harmonized methodology is proposed as a model to study long-term neurocognitive sequelae of SARS-CoV-2 infection.Key pointsThe following review describes what is known so far in terms of molecular and epidemiological links among COVID-19, the brain, neurological symptoms, and AD and related dementias (ADRD)The primary objective of this large-scale collaboration is to clarify the pathogenesis of ADRD and to advance our understanding of the impact of a neurotropic virus on the long-term risk of cognitive decline and other CNS sequelae. No available evidence supports the notion that cognitive impairment after SARS-CoV-2 infection is a form of dementia (ADRD or otherwise). The longitudinal methodologies espoused by the consortium are intended to provide data to answer this question as clearly as possible controlling for possible confounders. Our specific hypothesis is that SARS-CoV-2 triggers ADRD-like pathology following the extended olfactory cortical network (EOCN) in older individuals with specific genetic susceptibility.The proposed harmonization strategies and flexible study designs offer the possibility to include large samples of under-represented racial and ethnic groups, creating a rich set of harmonized cohorts for future studies of the pathophysiology, determinants, long-term consequences, and trends in cognitive aging, ADRD, and vascular disease.We provide a framework for current and future studies to be carried out within the Consortium. and offers a "green paper" to the research community with a very broad, global base of support, on tools suitable for low- and middle-income countries aimed to compare and combine future longitudinal data on the topic.The Consortium proposes a combination of design and statistical methods as a means of approaching causal inference of the COVID-19 neuropsychiatric sequelae. We expect that deep phenotyping of neuropsychiatric sequelae may provide a series of candidate syndromes with phenomenological and biological characterization that can be further explored. By generating high-quality harmonized data across sites we aim to capture both descriptive and, where possible, causal associations.

Published
2022

5. Explainable Machine Learning Models Using Robust Cancer Biomarkers Identification from Paired Differential Gene Expression.

Author

Díaz de la Guardia-Bolívar, Elisa, Martínez Manjón, Juan Emilio, Pérez-Filgueiras, David, Zwir, Igor, and del Val, Coral

Subjects
TUMOR markers, FEATURE selection, GENE expression, BIOMARKERS, PROOF of concept
Abstract

In oncology, there is a critical need for robust biomarkers that can be easily translated into the clinic. We introduce a novel approach using paired differential gene expression analysis for biological feature selection in machine learning models, enhancing robustness and interpretability while accounting for patient variability. This method compares primary tumor tissue with the same patient's healthy tissue, improving gene selection by eliminating individual-specific artifacts. A focus on carcinoma was selected due to its prevalence and the availability of the data; we aim to identify biomarkers involved in general carcinoma progression, including less-researched types. Our findings identified 27 pivotal genes that can distinguish between healthy and carcinoma tissue, even in unseen carcinoma types. Additionally, the panel could precisely identify the tissue-of-origin in the eight carcinoma types used in the discovery phase. Notably, in a proof of concept, the model accurately identified the primary tissue origin in metastatic samples despite limited sample availability. Functional annotation reveals these genes' involvement in cancer hallmarks, detecting subtle variations across carcinoma types. We propose paired differential gene expression analysis as a reference method for the discovering of robust biomarkers. [ABSTRACT FROM AUTHOR]

Published
2024
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6. Three genetic–environmental networks for human personality

Author

Zwir, Igor, Del-Val, Coral, Arnedo, Javier, Pulkki-Råback, Laura, Konte, Bettina, Yang, Sarah S., Romero-Zaliz, Rocio, Hintsanen, Mirka, Cloninger, Kevin M., Garcia, Danilo, Svrakic, Dragan M., Lester, Nigel, Rozsa, Sandor, Mesa, Alberto, Lyytikäinen, Leo-Pekka, Giegling, Ina, Kähönen, Mika, Martinez, Maribel, Seppälä, Ilkka, Raitoharju, Emma, de Erausquin, Gabriel A., Mamah, Daniel, Raitakari, Olli, Rujescu, Dan, Postolache, Teodor T., Gu, C. Charles, Sung, Joohon, Lehtimäki, Terho, Keltikangas-Järvinen, Liisa, and Cloninger, C. Robert

Published
2021
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7. Uncovering the complex genetics of human temperament

Author

Zwir, Igor, Arnedo, Javier, Del-Val, Coral, Pulkki-Råback, Laura, Konte, Bettina, Yang, Sarah S., Romero-Zaliz, Rocio, Hintsanen, Mirka, Cloninger, Kevin M., Garcia, Danilo, Svrakic, Dragan M., Rozsa, Sandor, Martinez, Maribel, Lyytikäinen, Leo-Pekka, Giegling, Ina, Kähönen, Mika, Hernandez-Cuervo, Helena, Seppälä, Ilkka, Raitoharju, Emma, de Erausquin, Gabriel A., Raitakari, Olli, Rujescu, Dan, Postolache, Teodor T., Sung, Joohon, Keltikangas-Järvinen, Liisa, Lehtimäki, Terho, and Cloninger, C. Robert

Published
2020
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9. Uncovering the complex genetics of human character

Author

Zwir, Igor, Arnedo, Javier, Del-Val, Coral, Pulkki-Råback, Laura, Konte, Bettina, Yang, Sarah S., Romero-Zaliz, Rocio, Hintsanen, Mirka, Cloninger, Kevin M., Garcia, Danilo, Svrakic, Dragan M., Rozsa, Sandor, Martinez, Maribel, Lyytikäinen, Leo-Pekka, Giegling, Ina, Kähönen, Mika, Hernandez-Cuervo, Helena, Seppälä, Ilkka, Raitoharju, Emma, de Erausquin, Gabriel A., Raitakari, Olli, Rujescu, Dan, Postolache, Teodor T., Sung, Joohon, Keltikangas-Järvinen, Liisa, Lehtimäki, Terho, and Cloninger, C. Robert

Published
2020
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12. Telemedicine Critical Care-Mediated Mortality Reductions in Lower-Performing Patient Diagnosis Groups: A Prospective, Before and After Study

Author

Boyle, Walter A., primary, Palmer, Christopher M., additional, Konzen, Lisa, additional, Fritz, Bradley A., additional, White, Jason, additional, Simkins, Michelle, additional, Dieffenderfer, Brian, additional, Iqbal, Ayesha, additional, Bertrand, Jill, additional, Meyer, Shelley, additional, Kerby, Paul, additional, Buckman, Sara, additional, Despotovic, Vladimir, additional, Kozlowski, Jim, additional, Crimmins Reda, Patricia, additional, Zwir, Igor, additional, Gu, C. Charles, additional, and Ofoma, Uchenna R., additional

Published
2023
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14. The relationship of trait-like compassion with epigenetic aging: The population-based prospective Young Finns Study

Author

Dobewall, Henrik, primary, Keltikangas-Järvinen, Liisa, additional, Marttila, Saara, additional, Mishra, Pashupati P., additional, Saarinen, Aino, additional, Cloninger, C. Robert, additional, Zwir, Igor, additional, Kähönen, Mika, additional, Hurme, Mikko, additional, Raitakari, Olli, additional, Lehtimäki, Terho, additional, and Hintsanen, Mirka, additional

Published
2023
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18. Motor Assessment With the STEGA iPad App to Measure Handwriting in Children

Author

Philip, Benjamin A., Li, Fuhai, Hawkins-Chernof, Elizabeth, Chen, Ling, Swamidass, Victoria, and Zwir, Igor

Subjects
Research Articles
Abstract

Importance: Handwriting and the fine motor control (hand and fingers) underlying it are key indicators of numerous motor disorders, especially among children. However, current assessment methods are expensive, slow, and subjective, leading to a lack of knowledge about the relationship between handwriting and motor control. Objective: To develop and validate the iPad precision drawing app Standardized Tracing Evaluation and Grapheme Assessment (STEGA) to enable rapid quantitative assessment of fine motor control and handwriting. Design: Cross-sectional, single-arm observational study. Setting: Academic research institution. Participants: Fifty-seven typically developing right-handed children ages 9 to 12 yr with knowledge of cursive. Outcomes and Measures: Predicted quality, measured as the correlation between handwriting letter legibility (Evaluation Tool of Children’s Handwriting–Cursive [ETCH–C]) and predicted legibility (calculated from STEGA’s 120 Hz, nine-variable data). Results: STEGA successfully predicted handwriting (r(2) = .437, p < .001) using a support vector regression method. Angular error was the most important aspect of STEGA performance. STEGA was much faster to administer than the ETCH–C (M = 6.7 min, SD = 1.3, versus M = 19.7 min, SD = 5.2). Conclusions and Relevance: Assessment of motor control (and especially pen direction control) may provide a meaningful, objective way to assess handwriting. Future studies are needed to validate STEGA with a wider age range, but the initial results indicate that STEGA can provide the first rapid, quantitative, high-resolution, telehealth-capable assessment of the motor control that underpins handwriting. What This Article Adds: The ability to control pen direction may be the most important motor skill for successful handwriting. STEGA may provide the first criterion standard for the fine motor control skills that underpin handwriting, suitable for rehabilitation research and practice.

Published
2023

22. Modeling Genetic Networks: Comparison of Static and Dynamic Models

Author

Rubio-Escudero, Cristina, Harari, Oscar, Cordón, Oscar, Zwir, Igor, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Rangan, C. Pandu, editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Marchiori, Elena, editor, Moore, Jason H., editor, and Rajapakse, Jagath C., editor

Published
2007
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23. Targeting Differentially Co-regulated Genes by Multiobjective and Multimodal Optimization

Author

Harari, Oscar, Rubio-Escudero, Cristina, Zwir, Igor, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Rangan, C. Pandu, editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Marchiori, Elena, editor, Moore, Jason H., editor, and Rajapakse, Jagath C., editor

Published
2007
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27. Chronic neuropsychiatric sequelae of SARS-CoV-2: Protocol and methods from the Alzheimer's Association Global Consortium.

Author

de Erausquin, Gabriel A, de Erausquin, Gabriel A, Snyder, Heather, Brugha, Traolach S, Seshadri, Sudha, Carrillo, Maria, Sagar, Rajesh, Huang, Yueqin, Newton, Charles, Tartaglia, Carmela, Teunissen, Charlotte, Håkanson, Krister, Akinyemi, Rufus, Prasad, Kameshwar, D'Avossa, Giovanni, Gonzalez-Aleman, Gabriela, Hosseini, Akram, Vavougios, George D, Sachdev, Perminder, Bankart, John, Mors, Niels Peter Ole, Lipton, Richard, Katz, Mindy, Fox, Peter T, Katshu, Mohammad Zia, Iyengar, M Sriram, Weinstein, Galit, Sohrabi, Hamid R, Jenkins, Rachel, Stein, Dan J, Hugon, Jacques, Mavreas, Venetsanos, Blangero, John, Cruchaga, Carlos, Krishna, Murali, Wadoo, Ovais, Becerra, Rodrigo, Zwir, Igor, Longstreth, William T, Kroenenberg, Golo, Edison, Paul, Mukaetova-Ladinska, Elizabeta, Staufenberg, Ekkehart, Figueredo-Aguiar, Mariana, Yécora, Agustín, Vaca, Fabiana, Zamponi, Hernan P, Re, Vincenzina Lo, Majid, Abdul, Sundarakumar, Jonas, Gonzalez, Hector M, Geerlings, Mirjam I, Skoog, Ingmar, Salmoiraghi, Alberto, Boneschi, Filippo Martinelli, Patel, Vibuthi N, Santos, Juan M, Arroyo, Guillermo Rivera, Moreno, Antonio Caballero, Felix, Pascal, Gallo, Carla, Arai, Hidenori, Yamada, Masahito, Iwatsubo, Takeshi, Sharma, Malveeka, Chakraborty, Nandini, Ferreccio, Catterina, Akena, Dickens, Brayne, Carol, Maestre, Gladys, Blangero, Sarah Williams, Brusco, Luis I, Siddarth, Prabha, Hughes, Timothy M, Zuñiga, Alfredo Ramírez, Kambeitz, Joseph, Laza, Agustin Ruiz, Allen, Norrina, Panos, Stella, Merrill, David, Ibáñez, Agustín, Tsuang, Debby, Valishvili, Nino, Shrestha, Srishti, Wang, Sophia, Padma, Vasantha, Anstey, Kaarin J, Ravindrdanath, Vijayalakshmi, Blennow, Kaj, Mullins, Paul, Łojek, Emilia, Pria, Anand, Mosley, Thomas H, Gowland, Penny, Girard, Timothy D, Bowtell, Richard, Vahidy, Farhaan S, de Erausquin, Gabriel A, de Erausquin, Gabriel A, Snyder, Heather, Brugha, Traolach S, Seshadri, Sudha, Carrillo, Maria, Sagar, Rajesh, Huang, Yueqin, Newton, Charles, Tartaglia, Carmela, Teunissen, Charlotte, Håkanson, Krister, Akinyemi, Rufus, Prasad, Kameshwar, D'Avossa, Giovanni, Gonzalez-Aleman, Gabriela, Hosseini, Akram, Vavougios, George D, Sachdev, Perminder, Bankart, John, Mors, Niels Peter Ole, Lipton, Richard, Katz, Mindy, Fox, Peter T, Katshu, Mohammad Zia, Iyengar, M Sriram, Weinstein, Galit, Sohrabi, Hamid R, Jenkins, Rachel, Stein, Dan J, Hugon, Jacques, Mavreas, Venetsanos, Blangero, John, Cruchaga, Carlos, Krishna, Murali, Wadoo, Ovais, Becerra, Rodrigo, Zwir, Igor, Longstreth, William T, Kroenenberg, Golo, Edison, Paul, Mukaetova-Ladinska, Elizabeta, Staufenberg, Ekkehart, Figueredo-Aguiar, Mariana, Yécora, Agustín, Vaca, Fabiana, Zamponi, Hernan P, Re, Vincenzina Lo, Majid, Abdul, Sundarakumar, Jonas, Gonzalez, Hector M, Geerlings, Mirjam I, Skoog, Ingmar, Salmoiraghi, Alberto, Boneschi, Filippo Martinelli, Patel, Vibuthi N, Santos, Juan M, Arroyo, Guillermo Rivera, Moreno, Antonio Caballero, Felix, Pascal, Gallo, Carla, Arai, Hidenori, Yamada, Masahito, Iwatsubo, Takeshi, Sharma, Malveeka, Chakraborty, Nandini, Ferreccio, Catterina, Akena, Dickens, Brayne, Carol, Maestre, Gladys, Blangero, Sarah Williams, Brusco, Luis I, Siddarth, Prabha, Hughes, Timothy M, Zuñiga, Alfredo Ramírez, Kambeitz, Joseph, Laza, Agustin Ruiz, Allen, Norrina, Panos, Stella, Merrill, David, Ibáñez, Agustín, Tsuang, Debby, Valishvili, Nino, Shrestha, Srishti, Wang, Sophia, Padma, Vasantha, Anstey, Kaarin J, Ravindrdanath, Vijayalakshmi, Blennow, Kaj, Mullins, Paul, Łojek, Emilia, Pria, Anand, Mosley, Thomas H, Gowland, Penny, Girard, Timothy D, Bowtell, Richard, and Vahidy, Farhaan S

Abstract

IntroductionCoronavirus disease 2019 (COVID-19) has caused >3.5 million deaths worldwide and affected >160 million people. At least twice as many have been infected but remained asymptomatic or minimally symptomatic. COVID-19 includes central nervous system manifestations mediated by inflammation and cerebrovascular, anoxic, and/or viral neurotoxicity mechanisms. More than one third of patients with COVID-19 develop neurologic problems during the acute phase of the illness, including loss of sense of smell or taste, seizures, and stroke. Damage or functional changes to the brain may result in chronic sequelae. The risk of incident cognitive and neuropsychiatric complications appears independent from the severity of the original pulmonary illness. It behooves the scientific and medical community to attempt to understand the molecular and/or systemic factors linking COVID-19 to neurologic illness, both short and long term.MethodsThis article describes what is known so far in terms of links among COVID-19, the brain, neurological symptoms, and Alzheimer's disease (AD) and related dementias. We focus on risk factors and possible molecular, inflammatory, and viral mechanisms underlying neurological injury. We also provide a comprehensive description of the Alzheimer's Association Consortium on Chronic Neuropsychiatric Sequelae of SARS-CoV-2 infection (CNS SC2) harmonized methodology to address these questions using a worldwide network of researchers and institutions.ResultsSuccessful harmonization of designs and methods was achieved through a consensus process initially fragmented by specific interest groups (epidemiology, clinical assessments, cognitive evaluation, biomarkers, and neuroimaging). Conclusions from subcommittees were presented to the whole group and discussed extensively. Presently data collection is ongoing at 19 sites in 12 countries representing Asia, Africa, the Americas, and Europe.DiscussionThe Alzheimer's Association Global Consortium harmoniz

Published
2022

28. Chronic neuropsychiatric sequelae of SARS-CoV-2: Protocol and methods from the Alzheimer's Association Global Consortium

Author

de Erausquin, Gabriel A., Snyder, Heather, Brugha, Traolach S., Seshadri, Sudha, Carrillo, Maria, Sagar, Rajesh, Huang, Yueqin, Newton, Charles, Tartaglia, Carmela, Teunissen, Charlotte, Hakanson, Krister, Akinyemi, Rufus, Prasad, Kameshwar, D'Avossa, Giovanni, Gonzalez-Aleman, Gabriela, Hosseini, Akram, Vavougios, George D., Sachdev, Perminder, Bankart, John, Mors, Niels Peter Ole, Lipton, Richard, Katz, Mindy, Fox, Peter T., Katshu, Mohammad Zia, Iyengar, M. Sriram, Weinstein, Galit, Sohrabi, Hamid R., Jenkins, Rachel, Stein, Dan J., Hugon, Jacques, Mavreas, Venetsanos, Blangero, John, Cruchaga, Carlos, Krishna, Murali, Wadoo, Ovais, Becerra, Rodrigo, Zwir, Igor, Longstreth, William T., Kroenenberg, Golo, Edison, Paul, Mukaetova-Ladinska, Elizabeta, Staufenberg, Ekkehart, Figueredo-Aguiar, Mariana, Yecora, Agustin, Vaca, Fabiana, Zamponi, Hernan P., Lo Re, Vincenzina, Majid, Abdul, Sundarakumar, Jonas, Gonzalez, Hector M., Geerlings, Mirjam, I, Skoog, Ingmar, Salmoiraghi, Alberto, Boneschi, Filippo Martinelli, Patel, Vibuthi N., Santos, Juan M., Rivera Arroyo, Guillermo, Caballero Moreno, Antonio, Felix, Pascal, Gallo, Carla, Arai, Hidenori, Yamada, Masahito, Iwatsubo, Takeshi, Sharma, Malveeka, Chakraborty, Nandini, Ferreccio, Catterina, Akena, Dickens, Brayne, Carol, Maestre, Gladys, Blangero, Sarah Williams, Brusco, Luis, I, Siddarth, Prabha, Hughes, Timothy M., Zuniga, Alfredo Ramirez, Kambeitz, Joseph, Laza, Agustin Ruiz, Allen, Norrina, Panos, Stella, Merrill, David, Ibanez, Agustin, Tsuang, Debby, Valishvili, Nino, Shrestha, Srishti, Wang, Sophia, Padma, Vasantha, Anstey, Kaarin J., Ravindrdanath, Vijayalakshmi, Blennow, Kaj, Mullins, Paul, Pria, Anand, Mosley, Thomas H., Gowland, Penny, Girard, Timothy D., Bowtell, Richard, Vahidy, Farhaan S., de Erausquin, Gabriel A., Snyder, Heather, Brugha, Traolach S., Seshadri, Sudha, Carrillo, Maria, Sagar, Rajesh, Huang, Yueqin, Newton, Charles, Tartaglia, Carmela, Teunissen, Charlotte, Hakanson, Krister, Akinyemi, Rufus, Prasad, Kameshwar, D'Avossa, Giovanni, Gonzalez-Aleman, Gabriela, Hosseini, Akram, Vavougios, George D., Sachdev, Perminder, Bankart, John, Mors, Niels Peter Ole, Lipton, Richard, Katz, Mindy, Fox, Peter T., Katshu, Mohammad Zia, Iyengar, M. Sriram, Weinstein, Galit, Sohrabi, Hamid R., Jenkins, Rachel, Stein, Dan J., Hugon, Jacques, Mavreas, Venetsanos, Blangero, John, Cruchaga, Carlos, Krishna, Murali, Wadoo, Ovais, Becerra, Rodrigo, Zwir, Igor, Longstreth, William T., Kroenenberg, Golo, Edison, Paul, Mukaetova-Ladinska, Elizabeta, Staufenberg, Ekkehart, Figueredo-Aguiar, Mariana, Yecora, Agustin, Vaca, Fabiana, Zamponi, Hernan P., Lo Re, Vincenzina, Majid, Abdul, Sundarakumar, Jonas, Gonzalez, Hector M., Geerlings, Mirjam, I, Skoog, Ingmar, Salmoiraghi, Alberto, Boneschi, Filippo Martinelli, Patel, Vibuthi N., Santos, Juan M., Rivera Arroyo, Guillermo, Caballero Moreno, Antonio, Felix, Pascal, Gallo, Carla, Arai, Hidenori, Yamada, Masahito, Iwatsubo, Takeshi, Sharma, Malveeka, Chakraborty, Nandini, Ferreccio, Catterina, Akena, Dickens, Brayne, Carol, Maestre, Gladys, Blangero, Sarah Williams, Brusco, Luis, I, Siddarth, Prabha, Hughes, Timothy M., Zuniga, Alfredo Ramirez, Kambeitz, Joseph, Laza, Agustin Ruiz, Allen, Norrina, Panos, Stella, Merrill, David, Ibanez, Agustin, Tsuang, Debby, Valishvili, Nino, Shrestha, Srishti, Wang, Sophia, Padma, Vasantha, Anstey, Kaarin J., Ravindrdanath, Vijayalakshmi, Blennow, Kaj, Mullins, Paul, Pria, Anand, Mosley, Thomas H., Gowland, Penny, Girard, Timothy D., Bowtell, Richard, and Vahidy, Farhaan S.

Abstract

Introduction Coronavirus disease 2019 (COVID-19) has caused >3.5 million deaths worldwide and affected >160 million people. At least twice as many have been infected but remained asymptomatic or minimally symptomatic. COVID-19 includes central nervous system manifestations mediated by inflammation and cerebrovascular, anoxic, and/or viral neurotoxicity mechanisms. More than one third of patients with COVID-19 develop neurologic problems during the acute phase of the illness, including loss of sense of smell or taste, seizures, and stroke. Damage or functional changes to the brain may result in chronic sequelae. The risk of incident cognitive and neuropsychiatric complications appears independent from the severity of the original pulmonary illness. It behooves the scientific and medical community to attempt to understand the molecular and/or systemic factors linking COVID-19 to neurologic illness, both short and long term. Methods This article describes what is known so far in terms of links among COVID-19, the brain, neurological symptoms, and Alzheimer's disease (AD) and related dementias. We focus on risk factors and possible molecular, inflammatory, and viral mechanisms underlying neurological injury. We also provide a comprehensive description of the Alzheimer's Association Consortium on Chronic Neuropsychiatric Sequelae of SARS-CoV-2 infection (CNS SC2) harmonized methodology to address these questions using a worldwide network of researchers and institutions. Results Successful harmonization of designs and methods was achieved through a consensus process initially fragmented by specific interest groups (epidemiology, clinical assessments, cognitive evaluation, biomarkers, and neuroimaging). Conclusions from subcommittees were presented to the whole group and discussed extensively. Presently data collection is ongoing at 19 sites in 12 countries representing Asia, Africa, the Americas, and Europe. Discussion The Alzheimer's Association Global Consortium harmoni

Published
2022

29. Chronic neuropsychiatric sequelae of SARS-CoV-2: Protocol and methods from the Alzheimer's Association Global Consortium

Author

Cardiovasculaire Epi Team 7a, Brain, Circulatory Health, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, de Erausquin, Gabriel A, Snyder, Heather, Brugha, Traolach S, Seshadri, Sudha, Carrillo, Maria, Sagar, Rajesh, Huang, Yueqin, Newton, Charles, Tartaglia, Carmela, Teunissen, Charlotte, Håkanson, Krister, Akinyemi, Rufus, Prasad, Kameshwar, D'Avossa, Giovanni, Gonzalez-Aleman, Gabriela, Hosseini, Akram, Vavougios, George D, Sachdev, Perminder, Bankart, John, Mors, Niels Peter Ole, Lipton, Richard, Katz, Mindy, Fox, Peter T, Katshu, Mohammad Zia, Iyengar, M Sriram, Weinstein, Galit, Sohrabi, Hamid R, Jenkins, Rachel, Stein, Dan J, Hugon, Jacques, Mavreas, Venetsanos, Blangero, John, Cruchaga, Carlos, Krishna, Murali, Wadoo, Ovais, Becerra, Rodrigo, Zwir, Igor, Longstreth, William T, Kroenenberg, Golo, Edison, Paul, Mukaetova-Ladinska, Elizabeta, Staufenberg, Ekkehart, Figueredo-Aguiar, Mariana, Yécora, Agustín, Vaca, Fabiana, Zamponi, Hernan P, Re, Vincenzina Lo, Majid, Abdul, Sundarakumar, Jonas, Gonzalez, Hector M, Geerlings, Mirjam I, Skoog, Ingmar, Salmoiraghi, Alberto, Boneschi, Filippo Martinelli, Patel, Vibuthi N, Santos, Juan M, Arroyo, Guillermo Rivera, Moreno, Antonio Caballero, Felix, Pascal, Gallo, Carla, Arai, Hidenori, Yamada, Masahito, Iwatsubo, Takeshi, Sharma, Malveeka, Chakraborty, Nandini, Ferreccio, Catterina, Akena, Dickens, Brayne, Carol, Maestre, Gladys, Blangero, Sarah Williams, Brusco, Luis I, Siddarth, Prabha, Hughes, Timothy M, Zuñiga, Alfredo Ramírez, Kambeitz, Joseph, Laza, Agustin Ruiz, Allen, Norrina, Panos, Stella, Merrill, David, Ibáñez, Agustín, Tsuang, Debby, Valishvili, Nino, Shrestha, Srishti, Wang, Sophia, Padma, Vasantha, Anstey, Kaarin J, Ravindrdanath, Vijayalakshmi, Blennow, Kaj, Mullins, Paul, Łojek, Emilia, Pria, Anand, Mosley, Thomas H, Gowland, Penny, Girard, Timothy D, Bowtell, Richard, Vahidy, Farhaan S, Cardiovasculaire Epi Team 7a, Brain, Circulatory Health, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, de Erausquin, Gabriel A, Snyder, Heather, Brugha, Traolach S, Seshadri, Sudha, Carrillo, Maria, Sagar, Rajesh, Huang, Yueqin, Newton, Charles, Tartaglia, Carmela, Teunissen, Charlotte, Håkanson, Krister, Akinyemi, Rufus, Prasad, Kameshwar, D'Avossa, Giovanni, Gonzalez-Aleman, Gabriela, Hosseini, Akram, Vavougios, George D, Sachdev, Perminder, Bankart, John, Mors, Niels Peter Ole, Lipton, Richard, Katz, Mindy, Fox, Peter T, Katshu, Mohammad Zia, Iyengar, M Sriram, Weinstein, Galit, Sohrabi, Hamid R, Jenkins, Rachel, Stein, Dan J, Hugon, Jacques, Mavreas, Venetsanos, Blangero, John, Cruchaga, Carlos, Krishna, Murali, Wadoo, Ovais, Becerra, Rodrigo, Zwir, Igor, Longstreth, William T, Kroenenberg, Golo, Edison, Paul, Mukaetova-Ladinska, Elizabeta, Staufenberg, Ekkehart, Figueredo-Aguiar, Mariana, Yécora, Agustín, Vaca, Fabiana, Zamponi, Hernan P, Re, Vincenzina Lo, Majid, Abdul, Sundarakumar, Jonas, Gonzalez, Hector M, Geerlings, Mirjam I, Skoog, Ingmar, Salmoiraghi, Alberto, Boneschi, Filippo Martinelli, Patel, Vibuthi N, Santos, Juan M, Arroyo, Guillermo Rivera, Moreno, Antonio Caballero, Felix, Pascal, Gallo, Carla, Arai, Hidenori, Yamada, Masahito, Iwatsubo, Takeshi, Sharma, Malveeka, Chakraborty, Nandini, Ferreccio, Catterina, Akena, Dickens, Brayne, Carol, Maestre, Gladys, Blangero, Sarah Williams, Brusco, Luis I, Siddarth, Prabha, Hughes, Timothy M, Zuñiga, Alfredo Ramírez, Kambeitz, Joseph, Laza, Agustin Ruiz, Allen, Norrina, Panos, Stella, Merrill, David, Ibáñez, Agustín, Tsuang, Debby, Valishvili, Nino, Shrestha, Srishti, Wang, Sophia, Padma, Vasantha, Anstey, Kaarin J, Ravindrdanath, Vijayalakshmi, Blennow, Kaj, Mullins, Paul, Łojek, Emilia, Pria, Anand, Mosley, Thomas H, Gowland, Penny, Girard, Timothy D, Bowtell, Richard, and Vahidy, Farhaan S

Published
2022

33. Chronic neuropsychiatric sequelae of SARS‐CoV‐2: Protocol and methods from the Alzheimer's Association Global Consortium

Author

de Erausquin, Gabriel A., primary, Snyder, Heather, additional, Brugha, Traolach S., additional, Seshadri, Sudha, additional, Carrillo, Maria, additional, Sagar, Rajesh, additional, Huang, Yueqin, additional, Newton, Charles, additional, Tartaglia, Carmela, additional, Teunissen, Charlotte, additional, Håkanson, Krister, additional, Akinyemi, Rufus, additional, Prasad, Kameshwar, additional, D'Avossa, Giovanni, additional, Gonzalez‐Aleman, Gabriela, additional, Hosseini, Akram, additional, Vavougios, George D., additional, Sachdev, Perminder, additional, Bankart, John, additional, Mors, Niels Peter Ole, additional, Lipton, Richard, additional, Katz, Mindy, additional, Fox, Peter T., additional, Katshu, Mohammad Zia, additional, Iyengar, M. Sriram, additional, Weinstein, Galit, additional, Sohrabi, Hamid R., additional, Jenkins, Rachel, additional, Stein, Dan J., additional, Hugon, Jacques, additional, Mavreas, Venetsanos, additional, Blangero, John, additional, Cruchaga, Carlos, additional, Krishna, Murali, additional, Wadoo, Ovais, additional, Becerra, Rodrigo, additional, Zwir, Igor, additional, Longstreth, William T., additional, Kroenenberg, Golo, additional, Edison, Paul, additional, Mukaetova‐Ladinska, Elizabeta, additional, Staufenberg, Ekkehart, additional, Figueredo‐Aguiar, Mariana, additional, Yécora, Agustín, additional, Vaca, Fabiana, additional, Zamponi, Hernan P., additional, Re, Vincenzina Lo, additional, Majid, Abdul, additional, Sundarakumar, Jonas, additional, Gonzalez, Hector M., additional, Geerlings, Mirjam I., additional, Skoog, Ingmar, additional, Salmoiraghi, Alberto, additional, Boneschi, Filippo Martinelli, additional, Patel, Vibuthi N., additional, Santos, Juan M., additional, Arroyo, Guillermo Rivera, additional, Moreno, Antonio Caballero, additional, Felix, Pascal, additional, Gallo, Carla, additional, Arai, Hidenori, additional, Yamada, Masahito, additional, Iwatsubo, Takeshi, additional, Sharma, Malveeka, additional, Chakraborty, Nandini, additional, Ferreccio, Catterina, additional, Akena, Dickens, additional, Brayne, Carol, additional, Maestre, Gladys, additional, Blangero, Sarah Williams, additional, Brusco, Luis I., additional, Siddarth, Prabha, additional, Hughes, Timothy M., additional, Zuñiga, Alfredo Ramírez, additional, Kambeitz, Joseph, additional, Laza, Agustin Ruiz, additional, Allen, Norrina, additional, Panos, Stella, additional, Merrill, David, additional, Ibáñez, Agustín, additional, Tsuang, Debby, additional, Valishvili, Nino, additional, Shrestha, Srishti, additional, Wang, Sophia, additional, Padma, Vasantha, additional, Anstey, Kaarin J., additional, Ravindrdanath, Vijayalakshmi, additional, Blennow, Kaj, additional, Mullins, Paul, additional, Łojek, Emilia, additional, Pria, Anand, additional, Mosley, Thomas H., additional, Gowland, Penny, additional, Girard, Timothy D., additional, Bowtell, Richard, additional, and Vahidy, Farhaan S., additional

Published
2022
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34. Detecting clinical practice guideline-recommended wheelchair propulsion patterns with wearable devices following a wheelchair propulsion intervention.

Author

Chen, Pin-Wei, Klaesner, Joe, Zwir, Igor, and Morgan, Kerri A.

Abstract

Wheelchair propulsion interventions typically teach manual wheelchair users to perform wheelchair propulsion biomechanics as recommended by the Clinical Practice Guidelines (CPG). Outcome measures for these interventions are primarily laboratory based. Discrepancies remain between manual wheelchair propulsion (MWP) in laboratory-based examinations and propulsion in the real-world. Current developments in machine learning (ML) allow for monitoring of MWP in the real world. In this study, we collected data from participants enrolled in two wheelchair propulsion interventions, then built an ML algorithm to distinguish CPG recommended MWP patterns from non-CPG-recommended patterns. Eight primary manual wheelchair users did not initially follow CPG recommendations but learned and performed CPG propulsion after the interventions. Participants each wore two inertial measurement units as they propelled their wheelchairs on a roller system, indoors overground, and outdoors. ML models were trained to classify propulsion patterns as following the CPG or not following the CPG. Video recordings were used for reference. For indoor detection, we found that a subject-independent model was able to achieve 85% accuracy. For outdoor detection, we found that the subject-independent model achieved 75.4% accuracy. These results provide further evidence that CPG and non-CPG-recommended MWP patterns can be predicted with wearable sensors using an ML algorithm. [ABSTRACT FROM AUTHOR]

Published
2023
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47. 133: Machine Learning to Predict ICU Mortality From Vital Signs for Different Diagnoses and COVID-19

Author

Zwir, Igor, primary, Wang, Jiayu Gary, additional, Arnedo, Javier, additional, Dieffenderfer, Brian, additional, White, Jason, additional, Kozlowski, James, additional, Palmer, Chris, additional, Konzen, Lisa, additional, Buckman, Sara, additional, Kerby, Paul, additional, Despotovic, Vladimir, additional, Meyer, Shelley, additional, Bertrand, Jill, additional, Reda, Patricia, additional, and Boyle, Walter, additional

Published
2020
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48. 462: An Artificial Intelligence ICU Monitor Recommends Minimal-Risk Patient Trajectories

Author

Arnedo, Javier, primary, Zwir, Igor, additional, Wang, Jiayu Gary, additional, Dieffenderfer, Brian, additional, White, Jason, additional, Kozlowski, James, additional, Palmer, Chris, additional, Konzen, Lisa, additional, Buckman, Sara, additional, Kerby, Paul, additional, Despotovic, Vladimir, additional, Bertrand, Jill, additional, Meyer, Shelley, additional, Reda, Patricia, additional, and Boyle, Walter, additional

Published
2020
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49. Uncovering Tumour Heterogeneity through PKR and nc886 Analysis in Metastatic Colon Cancer Patients Treated with 5-FU-Based Chemotherapy

Author

Ortega-García, María Belén, primary, Mesa, Alberto, additional, Moya, Elisa L.J., additional, Rueda, Beatriz, additional, Lopez-Ordoño, Gabriel, additional, García, Javier Ángel, additional, Conde, Verónica, additional, Redondo-Cerezo, Eduardo, additional, Lopez-Hidalgo, Javier Luis, additional, Jiménez, Gema, additional, Peran, Macarena, additional, Martínez-González, Luis J., additional, del Val, Coral, additional, Zwir, Igor, additional, Marchal, Juan Antonio, additional, and García, María Ángel, additional

Published
2020
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50. 104: UNCOVERING DYNAMIC STATES AND PATIENT EVOLUTION IN THE ICU TO PREDICT ICU READMISSION

Author

Dieffenderfer, Brian, primary, Zwir, Igor, additional, Arnedo, Javier, additional, Wang, Jiayu, additional, Boyle, Walter, additional, White, Jason, additional, Reda, Patricia, additional, Konzen, Lisa, additional, Kerby, Paul, additional, Despotovic, Vladimir, additional, Palmer, Christopher, additional, Buckman, Sara, additional, and Meyer, Shelley, additional

Published
2020
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