Article
Clinical Neurology
Hatice Eraslan Boz, Koray Kocoglu, Muege Akkoyun, Isil Yagmur Tufekci, Merve Ekin, Guelden Akdal
Summary: The study found that visual search impairment exists in early stages of both AD and aMCI, highlighting the importance of addressing visual processes in the Alzheimer's continuum.
ALZHEIMERS & DEMENTIA
(2023)
Article
Multidisciplinary Sciences
Emily McCann, Soohyun Lee, Felicia Coleman, John D. O'Sullivan, Peter J. Nestor
Summary: Pareidolias, or the misperception of ambiguous stimuli as meaningful objects, are complex visual illusions that may reflect visuoperceptual impairments, but are not directly linked to the presence of VH.
Article
Clinical Neurology
Benjamin M. Hampstead, Anthony Y. Stringer, Alexandru D. Iordan, Robert Ploutz-Snyder, K. Sathian
Summary: Cognitive training is a potential technique for treating cognitive impairment caused by neurological injury and disease. Different training methods have different mechanisms of action and engage distinct brain regions. Mnemonic strategy training (MST) showed superior effects in the short term and increased activation and functional connectivity in multiple brain regions.
ALZHEIMERS & DEMENTIA
(2023)
Article
Geriatrics & Gerontology
Michal S. Beeri, Sue E. Leugrans, Osvaldo Delbono, David A. Bennett, Aron S. Buchman
Summary: In this study, poor muscle function, rather than reduced lean muscle mass, was found to be associated with late-life cognitive impairment, including incident Alzheimer's dementia, mild cognitive impairment, and cognitive decline. Further research is needed to identify muscle structure features that may enhance the specificity of sarcopenia in identifying older adults at risk for late-life cognitive impairment.
JOURNAL OF THE AMERICAN GERIATRICS SOCIETY
(2021)
Editorial Material
Cell Biology
Zhuang-Yao D. Wei, Ashok K. Shetty
Summary: This article discusses a recent study that suggests using a miRNA triad, consisting of miR-181a-5p, miR-146a-5p, and miR-148a-3p, for diagnosing ACI, MCI, and AD. The study explores the impact of elevated levels of this miRNA triad on neural plasticity and cognitive function in the brain and the potential of inhibiting it to improve cognitive function in MCI and AD.
Article
Neurosciences
Marina Botello-Marabotto, M. Carmen Martinez-Bisbal, Miguel Calero, Andrea Bernardos, Ana B. Pastor, Miguel Medina, Ramon Martinez-Manez
Summary: This study employed 1H NMR spectroscopy to conduct a metabolomic study in serum samples from patients with Alzheimer's disease (AD), mild cognitive impairment (MCI), and cognitively healthy controls (HC). The aim was to search for potential metabolite biomarkers. The results highlight the potential of 1H NMR metabolomics to support the diagnosis of dementia in a less invasive way, and provide a starting point for the study of potential biomarkers to identify MCI or HC subjects at risk of developing AD in the future.
NEUROBIOLOGY OF DISEASE
(2023)
Article
Clinical Neurology
Allan I. Levey, Deqiang Qiu, Liping Zhao, William T. Hu, Duc M. Duong, Lenora Higginbotham, Eric B. Dammer, Nicholas T. Seyfried, Thomas S. Wingo, Chadwick M. Hales, Malu Gamez Tansey, David S. Goldstein, Anees Abrol, Vince D. Calhoun, Felicia C. Goldstein, Ihab Hajjar, Anne M. Fagan, Doug Galasko, Steven D. Edland, John Hanfelt, James J. Lah, David Weinshenker
Summary: The study demonstrated that atomoxetine, a clinically approved noradrenaline reuptake inhibitor, improved multiple Alzheimer's disease biomarkers in individuals with mild cognitive impairment. Treatment with atomoxetine significantly reduced CSF levels of Tau and pTau, normalized CSF protein biomarker panels linked to synaptic function, brain metabolism, and glial immunity, and increased brain activity and metabolism in key temporal lobe circuits.
Article
Clinical Neurology
Deepika Dinesh, Qing Shao, Madhuri Palnati, Sarah McDannold, Quanwu Zhang, Amir Abbas Tahami Monfared, Guneet K. Jasuja, Heather Davila, Weiming Xia, Lauren R. Moo, Donald R. Miller, Natalia Palacios
Summary: Based on electronic health records data, a study found that US veterans have a unique dementia risk profile that may be changing over time. From 2000 to 2019, the incidence and prevalence of Alzheimer's disease (AD) and related dementias (ADRD) decreased, while ADRD prevalence increased primarily due to an increase in dementia not otherwise specified. The prevalence and incidence of mild cognitive impairment (MCI) sharply increased, especially after 2010. The highest prevalence and incidence of AD, ADRD, and MCI were observed in the oldest veterans, female veterans, and African American and Hispanic veterans.
ALZHEIMERS & DEMENTIA
(2023)
Article
Neurosciences
Yorito Hattori, Satoshi Saito, Yuriko Nakaoku, Soshiro Ogata, Masashi Hattori, Mio Nakatsuji, Kunihiro Nishimura, Masafumi Ihara
Summary: This retrospective study investigated the association between TAX intake and cognitive changes. The results showed that TAX intake was significantly associated with changes in visuospatial/executive function, verbal fluency, and total score of MoCA, but not with ADAS-Cog. These findings provide a basis for TAX as a novel strategy for maintaining brain health.
JOURNAL OF ALZHEIMERS DISEASE
(2023)
Article
Clinical Neurology
David L. Sultzer, Aaron C. Lim, Hailey L. Gordon, Brandon C. Yarns, Rebecca J. Melrose
Summary: This study found lower nicotinic cholinergic receptor binding in specific limbic and subcortical regions in MCI and AD dementia patients compared to CU older adults, which is related to cognitive deficits.
ALZHEIMERS RESEARCH & THERAPY
(2022)
Article
Computer Science, Artificial Intelligence
Sunghong Park, Chang Hyung Hong, Dong-gi Lee, Kanghee Park, Hyunjung Shin
Summary: With the rapid aging of the population, Alzheimer's disease (AD) is becoming a serious problem, and early detection of the disease is crucial. By learning brain atrophy patterns, machine learning algorithms can predict the conversion from mild cognitive impairment (MCI) to AD. However, it is challenging to distinguish between the conversion group and the non-conversion group due to small differences and large within-group variability in brain images. To address this issue, a method called prospective classification, which projects brain images into the future for classification, is proposed.
Article
Biochemistry & Molecular Biology
Bruna De Felice, Cinzia Coppola, Simona Bonavita, Elisabetta Signoriello, Concetta Montanino, Federica Farinella, Carmela Matrone
Summary: Mild cognitive impairment (MCI) is a transitional stage before dementia with a high risk of progression to Alzheimer's disease. Non-coding RNAs, including long non-coding RNAs (lncRNAs), play a crucial role in gene expression regulation and can improve understanding of the genetic factors and pathophysiology of MCI. This study identified the expression patterns and relevant lncRNA-associated miRNA regulatory axes in the blood of MCI patients, proposing RNA targets involved in the pathogenesis of MCI.
Review
Food Science & Technology
Guangsu Zhu, Jianxin Zhao, Hao Zhang, Wei Chen, Gang Wang
Summary: Analysis of randomized controlled trials suggests that dietary supplementation with probiotics may improve cognitive function, particularly in individuals with mild cognitive impairment.
Article
Clinical Neurology
Egle Audronyte, Vaiva Sutnikiene, Gyte Pakulaite-Kazliene, Gintaras Kaubrys
Summary: This study investigated olfactory memory and its relationship with verbal memory and other clinical features in patients with early-stage Alzheimer's disease (AD). The results showed that olfactory memory was significantly impaired in patients with AD compared to individuals with mild cognitive impairment due to AD and cognitively normal older participants. Furthermore, the duration of AD symptoms was a strong predictor of olfactory recognition memory scores.
FRONTIERS IN NEUROLOGY
(2023)
Review
Neurosciences
Mingrui Liu, Baohu Liu, Zelin Ye, Dongyu Wu
Summary: This study used a bibliometric approach to analyze the application of electroencephalogram (EEG) in mild cognitive impairment (MCI) from 2005 to 2022. The research emphasis has shifted from examining local brain lesions with EEG to neural network mechanisms. The use of big data and intelligent analysis methods in EEG research is becoming more important, and linking MCI to other neurological disorders and evaluating new targets for diagnosis and treatment has become a new research trend.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Clinical Neurology
Ricardo Bruna, David Lopez-Sanz, Fernando Maestu, Ann D. Cohen, Anto Bagic, Ted Huppert, Tae Kim, Rebecca E. Roush, Betz Snitz, James T. Becker
Summary: This study investigated the mechanisms behind Alzheimer's disease and found that patients with amnestic MCI showed a slowing of brain activity, which was not observed in individuals without subjective complaints. This raises interesting questions about this particular group of individuals and the underlying brain mechanisms behind their cognitive impairment.
CLINICAL EEG AND NEUROSCIENCE
(2023)
Article
Hematology
Merce Boada, Dobri Kiprov, Fernando Anaya, Oscar L. Lopez, Laura Nunez, Javier Olazaran, Jose Lima, Carlota Grifols, Miquel Barcelo, Regina Rohe, Cristina Prieto-Fernandez, Zbigniew M. Szczepiorkowski, Antonio Paez
Summary: The feasibility and safety of plasma exchange (PE) treatment in mild-to-moderate Alzheimer's disease (AD) patients were analyzed in this study. The results showed that PE procedure-related adverse events (AEs) were more common in the active treatment groups compared to the placebo group, but similar to other indications of PE. Patients with central venous access had a higher rate of AEs compared to those with peripheral venous access.
JOURNAL OF CLINICAL APHERESIS
(2023)
Article
Mathematical & Computational Biology
Zheng Wang, Zi Wang, Lingyun Lyu, Yu Cheng, Eric C. Seaberg, Samantha A. Molsberry, Ann Ragin, James T. Becker
Summary: In this study, a method for identifying cognitive impairment by using the difference of consecutive LMNC test statistics is proposed. Frequency modeling is used to predict the number of assessments for each participant, and a simple correction method is adopted to control the family-wise error rate. The method effectively controls the error rate in both simulation and real data.
STATISTICS IN MEDICINE
(2023)
Article
Clinical Neurology
Hana Florian, Deli Wang, Steven E. Arnold, Merce Boada, Qi Guo, Ziyi Jin, Hui Zheng, Nahome Fisseha, Hari Varun Kalluri, Beatrice Rendenbach-Mueller, Kumar Budur, Michael Gold, Thomas Aware Investigators, Lealani Acosta, Thomas Ala, Sanka Amadoru, Jeffrey Apter, Steven Arnold, Merce Boada-Rovira, Anne Boerjesson-Hanson, Wendy Bond, Michael Borrie, Gabriella Bottini, Bruce Brew, Mark Brody, James Burke, Jeffrey Burns, Annalisa Chiari, Roger Clarnette, Sharon Cohen, Martin Farlow, Simon Fishman, Norman Foster, Kristian Frederiksen, Giovanni Frisoni, Nigel Gilchrist, Darren Gitelman, Ira Goodman, Marc Gordon, Neill Graff-Radford, Merja Hallikainen, Adrian Ivanoiu, Gregory Jicha, Michael Jonsson, Diana Kerwin, Dineke Koek, James Lah, Ayesha Lall, Elly Lee, Gabriel Leger, Peter Ljubenkov, Camillo Marra, Pablo Martinez-Lage, Joseph Masdeu, Scott McGinnis, Patrizia Mecocci, Philip Morris, Marshall Nash, Allison Perrin, Aimee Pierce, Robert Riesenberg, Juha Rinne, Raquel Sanchez Del Valle, Elio Scarpini, Paul Schulz, Ronald Schwartz, Amanda Smith, Bryan Spann, Sylvie Van Snick, Rik Vandenberghe, Cherian Verghese, Alberto Villarejo, Chuang-Kuo Wu
Summary: Tau accumulation in patients with Alzheimer's disease is closely related to cognitive decline. This study evaluated tilavonemab, an anti-tau monoclonal antibody, in treating patients with early Alzheimer's disease. The results showed that tilavonemab did not demonstrate efficacy in treating early Alzheimer's disease.
Article
Biochemistry & Molecular Biology
Amanda Cano, Miren Ettcheto, Mireia Bernuz, Raquel Puerta, Ester Esteban de Antonio, Elena Sanchez-Lopez, Eliana B. Souto, Antonio Camins, Merce Marti, Maria Isabel Pividori, Merce Boada, Agustin Ruiz
Summary: Extracellular vesicles are secreted by cells and play important roles in intercellular communication, immune responses, human reproduction, and synaptic plasticity. They have potential as biomarkers for diseases due to their biological relevance and easy accessibility. They can also be used as mirrors of brain diseases as they can cross the blood-brain barrier. This review explores their biogenesis, functions, and potential in clinical practice, as well as their role in major human brain diseases.
INTERNATIONAL JOURNAL OF BIOLOGICAL SCIENCES
(2023)
Article
Biochemistry & Molecular Biology
Marta Marquie, Fernando Garcia-Gutierrez, Adelina Orellana, Laura Montrreal, Itziar de Rojas, Pablo Garcia-Gonzalez, Raquel Puerta, Claudia Olive, Amanda Cano, Isabel Hernandez, Maitee Rosende-Roca, Liliana Vargas, Juan Pablo Tartari, Ester Esteban-De Antonio, Urszula Bojaryn, Mario Ricciardi, Diana M. Ariton, Vanesa Pytel, Montserrat Alegret, Gemma Ortega, Ana Espinosa, Alba Perez-Cordon, Angela Sanabria, Nathalia Munoz, Nuria Lleonart, Nuria Aguilera, Ainhoa Garcia-Sanchez, Emilio Alarcon-Martin, Lluis Tarraga, Agustin Ruiz, Merce Boada, Sergi Valero
Summary: This study found that the association between Alzheimer's disease biomarkers and neuropsychiatric symptoms has a significant impact on the conversion to dementia in patients with mild cognitive impairment. A total of 500 individuals with MCI were followed-up yearly, and it was found that certain AT(N) profiles and the presence of depression and apathy were associated with a higher risk of conversion. The additive combination of AT(N) profile with depression exacerbates the risk of conversion, and a synergic effect of prodromal AD profile with depressive symptoms is evidenced.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Biochemistry & Molecular Biology
Itziar de Rojas, Laura del Barrio, Isabel Hernandez, Laura Montrreal, Pablo Garcia-Gonzalez, Marta Marquie, Sergi Valero, Amanda Cano, Adelina Orellana, Merce Boada, Santos Manes, Agustin Ruiz
Summary: Cholesterol efflux capacity (CEC), which is closely related to Alzheimer's disease and other clinical conditions, is determined by APOE genotype and plasma metabolome profile. In this study, it was found that plasma 3-hydroxybutyrate and male sex were strongly correlated with CEC. Most NMR particles associated with CEC were not correlated with APOE genotype. The study confirmed the impact of APOE genotype on plasma lipoprotein particles and omega-3 fatty acids independently of plasma cholesterol level.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Cardiac & Cardiovascular Systems
Chloe Sarnowski, Matthew P. Conomos, Ramachandran S. Vasan, James B. Meigs, Josee Dupuis, Ching-Ti Liu, Aaron Leong
Summary: The effects of genetic burden on obesity risk and cardiovascular disease differ based on birth year, with individuals born after 1960 being more strongly affected. This suggests that the impact of genetics on obesity and cardiovascular risks may be amplified in the increasingly obesogenic environment.
CIRCULATION-GENOMIC AND PRECISION MEDICINE
(2023)
Article
Health Care Sciences & Services
Gustavo Sudre, Anto Bagic, James T. Becker, John P. Ford
Summary: In this study, using neuroimaging data and a whole-head Elekta Neuromag 306 sensor system, a set of features strongly correlated with brain function were derived. These features can serve as a noninvasive quantitative tool for clinicians to screen and monitor cognitive function in at-risk individuals. The set of features were able to effectively differentiate between participants with normative and nonnormative brain function, and accurately predict participants' Mini-Mental Test score.
JMIR FORMATIVE RESEARCH
(2023)
Article
Multidisciplinary Sciences
Yann Le Guen, Guo Luo, Aditya Ambati, Vincent Damotte, Iris Jansen, Eric Yu, Aude Nicolas, Itziar de Rojasj, Thiago Peixoto Leal, Akinori Miyashita, Celine Bellenguez, Michelle Mulan Lian, Kayenat Parveen, Takashi Morizono, Hyeonseul Park, Benjamin Grenier-Boley, Tatsuhiko Naito, Fahri Kucukali, Seth D. Talyansky, Selina Maria Yogeshwar, Vicente Sempere, Wataru Satake, Victoria Alvarez, Beatrice Arosio, Michael E. Belloy, Luisa Benussi, Anne Boland, Barbara Borroni, Maria J. Bullido, Paolo Caffarra, Jordi Clarimon, Antonio Daniele, Daniel Darling, Stephanie Debette, Jean-Francois Deleuze, Martin Dichgans, Carole Dufouil, Emmanuel During, Emrah Duzel, Daniela Galimberti, Guillermo Garcia-Ribas, Jose Maria Garcia-Alberca, Pablo Garcia-Gonzalez, Vilmantas Giedraitis, Oliver Goldhardt, Caroline Graff, Edna Grunblatt, Olivier Hanon, Lucrezia Hausner, Stefanie Heilmann-Heimbach, Henne Holstege, Jakub Hort, Yoo Jin Jung, Deckert Jurgen, Silke Kern, Teemu Kuulasmaa, Kun Ho Lee, Ling Lin, Carlo Masullo, Patrizia Mecocci, Shima Mehrabian, Alexandre de Mendonca, Merce Boada, Pablo Mir, Susanne Moebus, Fermin Moreno, Benedetta Nacmias, Gael Nicolas, Shumpei Niida, Borge G. Nordestgaard, Goran Papenberg, Janne Papma, Lucilla Parnetti, Florence Pasquier, Pau Pastor, Oliver Peters, Yolande A. L. Pijnenburg, Gerard Pinol-Ripoll, Julius Popp, Laura Molina Porcel, Raquel Puertaj Jordi Perez-Tur, Innocenzo Rainero, Inez Ramakers, Luis M. Real, Steffi Riedel-Heller, Eloy Rodriguez-Rodriguez, Owen A. Ross, Jose Luis Royo, Dan Rujescu, Nikolaos Scarmeas, Philip Scheltens, Norbert Scherbaum, Anja Schneider, Davide Seripa, Ingmar Skoog, Vincenzo Solfrizzi, Gianfranco Spalletta, Alessio Squassina, John van Swieten, Raquel Sanchez-Valle, Eng-King Tan, Thomas Tegos, Charlotte Teunissen, Jesper Qvist Thomassen, Lucio Tremolizzo, Martin Vyhnalek, Frans Verhey, Margda Waern, Jens Wiltfang, Jing Zhangc, Henrik Zetterberg, Kaj Blennow, Zihuai He, Julie Williams, Philippe Amouyel, Frank Jessen, Patrick G. Kehoe, Ole A. Andreassen, Cornelia Van Duin, Magda Tsolaki, Pascual Sanchez-Juan, Ruth Frikke-Schmidt, Kristel Sleegers, Tatsushi Todau, Anna Zettergren, Martin Ingelsson, Yukinori Okada, Giacomina Rossi, Mikko Hiltunen, Jungsoo Gim, Kouichi Ozaki, Rebecca Sims, Jia Nee Foo, Wiesje van der Fliere, Takeshi Ikeuchi, Alfredo Ramirez, Ignacio Mata, Agustin Ruiz, Ziv Gan-Or, Jean-Charles Lambert, Michael D. Greicius, Emmanuel Mignot
Summary: We analyzed the HLA associations in individuals with Parkinson's disease and Alzheimer's disease across different ancestry groups and found that these two diseases share a common protective association at the HLA locus. Fine-mapping showed that specific subtypes of HLA-DRB1*04 were responsible for this association, with HLA-DRB1*04:04 and HLA-DRB1*04:07 showing the strongest association. This protective effect was also associated with decreased neurofibrillary tangles in the brain and reduced levels of tau protein in cerebrospinal fluid.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2023)
Article
Clinical Neurology
Ilse Bader, Ilona Bader, Isadora Lopes Alves, David Vallez Garcia, Bruno Vellas, Bruno Dubois, Merce Boada, Marta Marquie, Daniele Altomare, Philip Scheltens, Rik Vandenberghe, Bernard Hanseeuw, Michael Scholl, Giovanni B. Frisoni, Frank Jessen, Agneta Nordberg, Miia Kivipelto, Craig W. Ritchie, Oriol Grau-Rivera, Jose Luis Molinuevo, Lisa Ford, Andrew Stephens, Rossella Gismondi, Juan Domingo Gispert, Gill Farrar, Frederik Barkhof, Pieter Jelle Visser, Lyduine E. Collij, AMYPAD Consortium
Summary: The limited availability of participants in the pre-dementia phase of Alzheimer's disease poses a challenge for clinical studies. This study explores the enrollment barriers in this population. The findings highlight the importance of reducing study burden and tailoring strategies to improve participant enrollment.
ALZHEIMERS RESEARCH & THERAPY
(2023)
Article
Neurosciences
Fernando Garcia-Gutierrez, Marta Marquie, Nathalia Munoz, Montserrat Alegret, Amanda Cano, Itziar de Rojas, Pablo Garcia-Gonzalez, Claudia Olive, Raquel Puerta, Adelina Orellana, Laura Montrreal, Vanesa Pytel, Mario Ricciardi, Carla Zaldua, Peru Gabirondo, Wolfram Hinzen, Nuria Lleonart, Ainhoa Garcia-Sanchez, Lluis Tarraga, Agustin Ruiz, Merce Boada, Sergi Valero
Summary: This study examines the relationship between amyloid status in cerebrospinal fluid (CSF) and acoustic features derived from spontaneous speech tests in patients with mild cognitive impairment (MCI). Machine learning models were used to classify the amyloid status based on acoustic variables, which outperformed conventional neuropsychological tests. The findings suggest that automated analysis of voice recordings can provide valuable insights into AD biomarkers during the preclinical stages.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Multidisciplinary Sciences
Marijn Muurling, Anna M. G. Pasmooij, Ivan Koychev, Dora Roik, Lutz Froelich, Emilia Schwertner, Dorota Religa, Carla Abdelnour, Merce P. Boada, Monica Almici, Samantha Galluzzi, Sandra Cardoso, Alexandre de Mendonca, Andrew. P. Owens, Sajini Kuruppu, Martha Therese Gjestsen, Ioulietta Lazarou, Mara Gkioka, Magda Tsolaki, Ana Diaz, Dianne Gove, Pieter Jelle Visser, Dag Aarsland, Federica Lucivero, Casper de Boer, RADAR AD Consortium
Summary: This study aims to identify the specific ethical challenges raised by research ethics committees (RECs) in the context of remote monitoring clinical research. The study found that the main ethical challenges include data management, participant's well-being, methodological issues, and regulatory classification of remote monitoring technologies. The study also highlights the need for harmonization in research ethics governance processes across different institutions and countries for multi-site studies.
Letter
Clinical Neurology
Montserrat Costa, M. Boada
JPAD-JOURNAL OF PREVENTION OF ALZHEIMERS DISEASE
(2023)