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Baez S, Hernandez H, Moguilner S, Cuadros J, Santamaria‐Garcia H, Medel V, Migeot J, Cruzat J, Valdes‐Sosa PA, Lopera F, González‐Hernández A, Bonilla‐Santos J, Gonzalez‐Montealegre RA, Aktürk T, Legaz A, Altschuler F, Fittipaldi S, Yener GG, Escudero J, Babiloni C, Lopez S, Whelan R, Lucas AAF, Huepe D, Soto‐Añari M, Coronel‐Oliveros C, Herrera E, Abasolo D, Clark RA, Güntekin B, Duran‐Aniotz C, Parra MA, Lawlor B, Tagliazucchi E, Prado P, Ibanez A. Structural inequality and temporal brain dynamics across diverse samples. Clin Transl Med 2024; 14:e70032. [PMID: 39360669 PMCID: PMC11447638 DOI: 10.1002/ctm2.70032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2024] [Revised: 09/02/2024] [Accepted: 09/10/2024] [Indexed: 10/04/2024] Open
Abstract
BACKGROUND Structural income inequality - the uneven income distribution across regions or countries - could affect brain structure and function, beyond individual differences. However, the impact of structural income inequality on the brain dynamics and the roles of demographics and cognition in these associations remains unexplored. METHODS Here, we assessed the impact of structural income inequality, as measured by the Gini coefficient on multiple EEG metrics, while considering the subject-level effects of demographic (age, sex, education) and cognitive factors. Resting-state EEG signals were collected from a diverse sample (countries = 10; healthy individuals = 1394 from Argentina, Brazil, Colombia, Chile, Cuba, Greece, Ireland, Italy, Turkey and United Kingdom). Complexity (fractal dimension, permutation entropy, Wiener entropy, spectral structure variability), power spectral and aperiodic components (1/f slope, knee, offset), as well as graph-theoretic measures were analysed. FINDINGS Despite variability in samples, data collection methods, and EEG acquisition parameters, structural inequality systematically predicted electrophysiological brain dynamics, proving to be a more crucial determinant of brain dynamics than individual-level factors. Complexity and aperiodic activity metrics captured better the effects of structural inequality on brain function. Following inequality, age and cognition emerged as the most influential predictors. The overall results provided convergent multimodal metrics of biologic embedding of structural income inequality characterised by less complex signals, increased random asynchronous neural activity, and reduced alpha and beta power, particularly over temporoposterior regions. CONCLUSION These findings might challenge conventional neuroscience approaches that tend to overemphasise the influence of individual-level factors, while neglecting structural factors. Results pave the way for neuroscience-informed public policies aimed at tackling structural inequalities in diverse populations.
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Affiliation(s)
- Sandra Baez
- Departamento de PsicologíaUniversidad de los AndesBogotaColombia
- Global Brain Health Institute (GBHI)University of CaliforniaSan FranciscoCaliforniaUSA
- Global Brain Health Institute (GBHI)Trinity College DublinDublinIreland
| | - Hernan Hernandez
- Latin American Brain Health InstituteUniversidad Adolfo IbañezSantiago de ChileChile
| | - Sebastian Moguilner
- Latin American Brain Health InstituteUniversidad Adolfo IbañezSantiago de ChileChile
- Harvard Medical SchoolHarvard UniversityBostonMassachusettsUSA
| | - Jhosmary Cuadros
- Latin American Brain Health InstituteUniversidad Adolfo IbañezSantiago de ChileChile
- Advanced Center for Electrical and Electronic Engineering, Universidad Técnica Federico Santa MaríaValparaísoChile
- Grupo de Bioingeniería, Decanato de Investigación, Universidad Nacional Experimental del TáchiraSan CristóbalVenezuela
| | - Hernando Santamaria‐Garcia
- PhD Program in NeurosciencePontificia Universidad JaverianaBogotaColombia
- Center of Memory and Cognition Intellectus, Hospital Universitario San Ignacio BogotáSan IgnacioColombia
| | - Vicente Medel
- Latin American Brain Health InstituteUniversidad Adolfo IbañezSantiago de ChileChile
| | - Joaquín Migeot
- Latin American Brain Health InstituteUniversidad Adolfo IbañezSantiago de ChileChile
| | - Josephine Cruzat
- Latin American Brain Health InstituteUniversidad Adolfo IbañezSantiago de ChileChile
| | | | - Francisco Lopera
- Grupo de Neurociencias de Antioquia, University of AntioquiaMedellínColombia
| | | | | | | | - Tuba Aktürk
- Department of BiophysicsSchool of MedicineIstanbul Medipol UniversityIstanbulTurkey
| | - Agustina Legaz
- Latin American Brain Health InstituteUniversidad Adolfo IbañezSantiago de ChileChile
- Cognitive Neuroscience Center, Universidad de San AndrésBuenos AiresArgentina
- National Scientific and Technical Research Council (CONICET)Buenos AiresArgentina
- Facultad de Psicología, Universidad Nacional de CórdobaCórdobaArgentina
| | - Florencia Altschuler
- Latin American Brain Health InstituteUniversidad Adolfo IbañezSantiago de ChileChile
- Cognitive Neuroscience Center, Universidad de San AndrésBuenos AiresArgentina
- National Scientific and Technical Research Council (CONICET)Buenos AiresArgentina
| | - Sol Fittipaldi
- Global Brain Health Institute (GBHI)University of CaliforniaSan FranciscoCaliforniaUSA
- Global Brain Health Institute (GBHI)Trinity College DublinDublinIreland
- Latin American Brain Health InstituteUniversidad Adolfo IbañezSantiago de ChileChile
- School of Psychology, Trinity College DublinDublinIreland
| | - Görsev G. Yener
- Faculty of Medicine, Izmir University of EconomicsIzmirTurkey
- Brain Dynamics Multidisciplinary Research CenterDokuz Eylul UniversityIzmirTurkey
- Izmir Biomedicine and Genome CenterIzmirTurkey
| | - Javier Escudero
- School of Engineering, Institute for Imaging, Data and Communications, University of EdinburghScotlandUK
| | - Claudio Babiloni
- Department of Physiology and Pharmacology ‘V. Erspamer’Sapienza University of RomeRomeItaly
- Hospital San Raffaele CassinoCassinoFrosinoneItaly
| | - Susanna Lopez
- Department of Physiology and Pharmacology ‘V. Erspamer’Sapienza University of RomeRomeItaly
| | - Robert Whelan
- Global Brain Health Institute (GBHI)University of CaliforniaSan FranciscoCaliforniaUSA
- Global Brain Health Institute (GBHI)Trinity College DublinDublinIreland
- School of Psychology, Trinity College DublinDublinIreland
| | - Alberto A Fernández Lucas
- Department of Legal MedicinePsychiatry and Pathology at the Complutense University of MadridMadridSpain
| | - David Huepe
- Center for Social and Cognitive Neuroscience (CSCN), School of Psychology, Universidad Adolfo IbáñezPenalolenChile
| | | | - Carlos Coronel‐Oliveros
- Global Brain Health Institute (GBHI)University of CaliforniaSan FranciscoCaliforniaUSA
- Global Brain Health Institute (GBHI)Trinity College DublinDublinIreland
- Latin American Brain Health InstituteUniversidad Adolfo IbañezSantiago de ChileChile
- Centro Interdisciplinario de Neurociencia de Valparaíso (CINV), Universidad de ValparaísoValparaísoChile
| | - Eduar Herrera
- Departamento de Estudios PsicológicosUniversidad IcesiCaliColombia
| | - Daniel Abasolo
- Faculty of Engineering and Physical Sciences, Centre for Biomedical Engineering, School of Mechanical Engineering Sciences, University of SurreyGuildfordUK
| | - Ruaridh A. Clark
- Department of Electronic and Electrical EngineeringUniversity of StrathclydeGlasgowUK
- Department of Electronic and Electrical EngineeringCentre for Signal and Image ProcessingUniversity of StrathclydeGlasgowUK
| | - Bahar Güntekin
- Department of BiophysicsSchool of MedicineIstanbul Medipol UniversityIstanbulTurkey
- Health Sciences and Technology Research Institute (SABITA)Istanbul Medipol UniversityIstanbulTurkey
| | - Claudia Duran‐Aniotz
- Latin American Brain Health InstituteUniversidad Adolfo IbañezSantiago de ChileChile
| | - Mario A. Parra
- Latin American Brain Health InstituteUniversidad Adolfo IbañezSantiago de ChileChile
- Department of Psychological Sciences and HealthUniversity of StrathclydeGlasgowUK
| | - Brian Lawlor
- Global Brain Health Institute (GBHI)University of CaliforniaSan FranciscoCaliforniaUSA
- Global Brain Health Institute (GBHI)Trinity College DublinDublinIreland
- Latin American Brain Health InstituteUniversidad Adolfo IbañezSantiago de ChileChile
- Department of Psychological Sciences and HealthUniversity of StrathclydeGlasgowUK
| | - Enzo Tagliazucchi
- Latin American Brain Health InstituteUniversidad Adolfo IbañezSantiago de ChileChile
- University of Buenos AiresBuenos AiresArgentina
| | - Pavel Prado
- Escuela de Fonoaudiología, Facultad de Odontología y Ciencias de la Rehabilitación, Universidad San SebastiánSantiagoChile
| | - Agustin Ibanez
- Global Brain Health Institute (GBHI)University of CaliforniaSan FranciscoCaliforniaUSA
- Global Brain Health Institute (GBHI)Trinity College DublinDublinIreland
- Latin American Brain Health InstituteUniversidad Adolfo IbañezSantiago de ChileChile
- Cognitive Neuroscience Center, Universidad de San AndrésBuenos AiresArgentina
- Trinity College Dublin, The University of DublinDublinIreland
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Patterson RA, Brooks H, Mirjalili M, Rashidi-Ranjbar N, Zomorrodi R, Blumberger DM, Fischer CE, Flint AJ, Graff-Guerrero A, Herrmann N, Kennedy JL, Kumar S, Lanctôt KL, Mah L, Mulsant BH, Pollock BG, Voineskos AN, Wang W, Rajji TK. Neurophysiological and other features of working memory in older adults at risk for dementia. Cogn Neurodyn 2024; 18:795-811. [PMID: 38826646 PMCID: PMC11143125 DOI: 10.1007/s11571-023-09938-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 01/19/2023] [Accepted: 01/31/2023] [Indexed: 03/06/2023] Open
Abstract
Theta-gamma coupling (TGC) is a neurophysiological process that supports working memory. Working memory is associated with other clinical and biological features. The extent to which TGC is associated with these other features and whether it contributes to working memory beyond these features is unknown. Two-hundred-and-three older participants at risk for Alzheimer's dementia-98 with mild cognitive impairment (MCI), 39 with major depressive disorder (MDD) in remission, and 66 with MCI and MDD (MCI + MDD)-completed a clinical assessment, N-back-EEG, and brain MRI. Among them, 190 completed genetic testing, and 121 completed [11C] Pittsburgh Compound B ([11C] PIB) PET imaging. Hierarchical linear regressions were used to assess whether TGC is associated with demographic and clinical variables; Alzheimer's disease-related features (APOE ε4 carrier status and β-amyloid load); and structural features related to working memory. Then, linear regressions were used to assess whether TGC is associated with 2-back performance after accounting for these features. Other than age, TGC was not associated with any non-neurophysiological features. In contrast, TGC (β = 0.27; p = 0.006), age (β = - 0.29; p = 0.012), and parietal cortical thickness (β = 0.24; p = 0.020) were associated with 2-back performance. We also examined two other EEG features that are linked to working memory-theta event-related synchronization and alpha event-related desynchronization-and found them not to be associated with any feature or performance after accounting for TGC. Our findings suggest that TGC is a process that is independent of other clinical, genetic, neurochemical, and structural variables, and supports working memory in older adults at risk for dementia. Supplementary Information The online version contains supplementary material available at 10.1007/s11571-023-09938-y.
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Affiliation(s)
| | - Heather Brooks
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
| | - Mina Mirjalili
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
| | | | - Reza Zomorrodi
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
| | - Daniel M. Blumberger
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
- Temerty Centre for Therapeutic Brain Intervention, CAMH, Toronto, ON M6J 1H1 Canada
| | - Corinne E. Fischer
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
- Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, ON M5B, 1T8 Canada
| | - Alastair J. Flint
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
- University Health Network, Toronto, ON M5G 1L7 Canada
| | - Ariel Graff-Guerrero
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
| | - Nathan Herrmann
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
- Sunnybrook Health Sciences Centre, ON M4N 3M5 Toronto, Canada
| | - James L. Kennedy
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
| | - Sanjeev Kumar
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
- Toronto Dementia Research Alliance, University of Toronto, ON M5S 1A1 Toronto, Canada
| | - Krista L. Lanctôt
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
- Sunnybrook Health Sciences Centre, ON M4N 3M5 Toronto, Canada
| | - Linda Mah
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
- Rotman Research Institute, Baycrest, Toronto, ON M6A 2E1 Canada
| | - Benoit H. Mulsant
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
- Temerty Centre for Therapeutic Brain Intervention, CAMH, Toronto, ON M6J 1H1 Canada
| | - Bruce G. Pollock
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
- Toronto Dementia Research Alliance, University of Toronto, ON M5S 1A1 Toronto, Canada
| | - Aristotle N. Voineskos
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
| | - Wei Wang
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
| | - Tarek K. Rajji
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
- Toronto Dementia Research Alliance, University of Toronto, ON M5S 1A1 Toronto, Canada
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3
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Guo X, Liu Z, Yuan W, Wei A, Luo G. Electroencephalographic power spectrum changes in cerebral small vessel disease combined with cognitive dysfunction and its relationship with neutrophil/lymphocyte ratio and its clinical value - a pilot study. Front Neurol 2024; 14:1300240. [PMID: 38283675 PMCID: PMC10820721 DOI: 10.3389/fneur.2023.1300240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 12/26/2023] [Indexed: 01/30/2024] Open
Abstract
Objective The study aimed to explore the changes in the electrical power spectrum of the brain and its correlation with neutrophil/lymphocyte ratio (NLR) in patients with cognitively impaired cerebral small vessel disease (CSVD) and to explore its clinical application. Methods A total of 61 patients with CSVD who attended the People's Hospital of Shaanxi Province from September 2021 to September 2022 were divided into the group with cognitive impairment (cerebral small vascular with cognitive impairment, CSVCI group, n = 29) and the group without cognitive impairment (CSVD group, n = 32) based on the Montreal Cognitive Assessment Scale (MoCA) score, while 20 healthy subjects were recruited as the control group (healthy control, HC group). EEG was performed in the three groups, and the difference in whole brain quantitative EEG power spectral density (PSD) was calculated and compared between the three groups. Results The PSD values in the δ and θ bands of the CSVCI group were higher than those of the CSVD group, while the PSD values in the α band were lower than those of the CSVD and HC groups. In addition, PSD values in the δ-band in the CSVD group were lower than those in the HC group (all p < 0.05). Multifactorial logistic regression showed that reduced α-band global average PSD and low years of education were independent risk factors for cognitive impairment in patients with CSVD (p < 0.05). In patients with cerebral small-vessel disease, α-band PSD was positively and δ-band PSD negatively correlated with MoCA score, and paraventricular, deep white matter, and total Fazekas scores were negatively correlated with MoCA score. Furthermore, θ-band PSD is positively correlated with NLR (all p < 0.05). Conclusion EEG activity was slowed down in patients with CSVD with cognitive impairment. The α-band global mean PSD values independently affected the occurrence of cognitive impairment in CSVD patients beyond the Fazekas score. NLR may be one of the mechanisms leading to the slowing down of the EEG, which can be used as an objective indicator for the early prediction of cognitive impairment but still needs to be clarified by further studies.
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Affiliation(s)
- Xiaomin Guo
- Department of Neurology, The People’s Hospital of Shaanxi Province, Xi’an, China
| | - Zongwei Liu
- First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China
| | - Weishuai Yuan
- First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China
| | - Aiqin Wei
- Department of Neurology, The People’s Hospital of Shaanxi Province, Xi’an, China
| | - Guogang Luo
- Department of Neurology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
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4
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Ji X, Peng X, Tang H, Pan H, Wang W, Wu J, Chen J, Wei N. Alzheimer's disease phenotype based upon the carrier status of the apolipoprotein E ɛ4 allele. Brain Pathol 2024; 34:e13208. [PMID: 37646624 PMCID: PMC10711266 DOI: 10.1111/bpa.13208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 08/05/2023] [Indexed: 09/01/2023] Open
Abstract
The apolipoprotein E ɛ4 allele (APOE4) is universally acknowledged as the most potent genetic risk factor for Alzheimer's disease (AD). APOE4 promotes the initiation and progression of AD. Although the underlying mechanisms are unclearly understood, differences in lipid-bound affinity among the three APOE isoforms may constitute the basis. The protein APOE4 isoform has a high affinity with triglycerides and cholesterol. A distinction in lipid metabolism extensively impacts neurons, microglia, and astrocytes. APOE4 carriers exhibit phenotypic differences from non-carriers in clinical examinations and respond differently to multiple treatments. Therefore, we hypothesized that phenotypic classification of AD patients according to the status of APOE4 carrier will help specify research and promote its use in diagnosing and treating AD. Recent reviews have mainly evaluated the differences between APOE4 allele carriers and non-carriers from gene to protein structures, clinical features, neuroimaging, pathology, the neural network, and the response to various treatments, and have provided the feasibility of phenotypic group classification based on APOE4 carrier status. This review will facilitate the application of APOE phenomics concept in clinical practice and promote further medical research on AD.
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Affiliation(s)
- Xiao‐Yu Ji
- Department of NeurosurgeryThe First Affiliated Hospital of Shantou University Medical CollegeGuangdongChina
- Brain Function and Disease LaboratoryShantou University Medical CollegeGuangdongChina
| | - Xin‐Yuan Peng
- Department of NeurosurgeryThe First Affiliated Hospital of Shantou University Medical CollegeGuangdongChina
| | - Hai‐Liang Tang
- Fudan University Huashan Hospital, Department of Neurosurgery, State Key Laboratory for Medical NeurobiologyInstitutes of Brain Science, Shanghai Medical College‐Fudan UniversityShanghaiChina
| | - Hui Pan
- Shantou Longhu People's HospitalShantouGuangdongChina
| | - Wei‐Tang Wang
- Department of NeurosurgeryThe First Affiliated Hospital of Shantou University Medical CollegeGuangdongChina
| | - Jie Wu
- Department of NeurosurgeryThe First Affiliated Hospital of Shantou University Medical CollegeGuangdongChina
- Brain Function and Disease LaboratoryShantou University Medical CollegeGuangdongChina
| | - Jian Chen
- Department of NeurosurgeryThe First Affiliated Hospital of Shantou University Medical CollegeGuangdongChina
| | - Nai‐Li Wei
- Department of NeurosurgeryThe First Affiliated Hospital of Shantou University Medical CollegeGuangdongChina
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Ponomareva NV, Andreeva TV, Protasova MS, Kunizheva SS, Kuznetsova IL, Kolesnikova EP, Malina DD, Mitrofanov AA, Fokin VF, Illarioshkin SN, Rogaev EI. Neuronal Hyperactivation in EEG Data during Cognitive Tasks Is Related to the Apolipoprotein J/Clusterin Genotype in Nondemented Adults. Int J Mol Sci 2023; 24:6790. [PMID: 37047762 PMCID: PMC10095572 DOI: 10.3390/ijms24076790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 03/24/2023] [Accepted: 03/30/2023] [Indexed: 04/08/2023] Open
Abstract
The clusterin (CLU) rs11136000 CC genotype is a probable risk factor for Alzheimer's disease (AD). CLU, also known as the apolipoprotein J gene, shares certain properties with the apolipoprotein E (APOE) gene with a well-established relationship with AD. This study aimed to determine whether the electrophysiological patterns of brain activation during the letter fluency task (LFT) depend on CLU genotypes in adults without dementia. Previous studies have shown that LFT performance involves activation of the frontal cortex. We examined EEG alpha1 and alpha2 band desynchronization in the frontal regions during the LFT in 94 nondemented individuals stratified by CLU (rs11136000) genotype. Starting at 30 years of age, CLU CC carriers exhibited more pronounced task-related alpha2 desynchronization than CLU CT&TT carriers in the absence of any differences in LFT performance. In CLU CC carriers, alpha2 desynchronization was significantly correlated with age. Increased task-related activation in individuals at genetic risk for AD may reflect greater "effort" to perform the task and/or neuronal hyperexcitability. The results show that the CLU genotype is associated with neuronal hyperactivation in the frontal cortex during cognitive tasks performances in nondemented individuals, suggesting systematic vulnerability of LFT related cognitive networks in people carrying unfavorable CLU alleles.
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Affiliation(s)
- Natalya V. Ponomareva
- Research Center of Neurology, 125367 Moscow, Russia
- Center for Genetics and Life Science, Sirius University of Science and Technology, 354349 Sochi, Russia
| | - Tatiana V. Andreeva
- Center for Genetics and Life Science, Sirius University of Science and Technology, 354349 Sochi, Russia
- Vavilov Institute of General Genetics, Russian Academy of Sciences, 119991 Moscow, Russia
- Centre for Genetics and Genetic Technologies, Faculty of Biology, Lomonosov Moscow State University, 119192 Moscow, Russia
| | - Maria S. Protasova
- Vavilov Institute of General Genetics, Russian Academy of Sciences, 119991 Moscow, Russia
| | - Svetlana S. Kunizheva
- Center for Genetics and Life Science, Sirius University of Science and Technology, 354349 Sochi, Russia
- Vavilov Institute of General Genetics, Russian Academy of Sciences, 119991 Moscow, Russia
| | - Irina L. Kuznetsova
- Center for Genetics and Life Science, Sirius University of Science and Technology, 354349 Sochi, Russia
- Vavilov Institute of General Genetics, Russian Academy of Sciences, 119991 Moscow, Russia
| | | | | | | | | | | | - Evgeny I. Rogaev
- Center for Genetics and Life Science, Sirius University of Science and Technology, 354349 Sochi, Russia
- Department of Psychiatry, Umass Chan Medical School, Shrewsbury, MA 01545, USA
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Miraglia F, Pappalettera C, Guglielmi V, Cacciotti A, Manenti R, Judica E, Vecchio F, Rossini PM. The combination of hyperventilation test and graph theory parameters to characterize EEG changes in mild cognitive impairment (MCI) condition. GeroScience 2023:10.1007/s11357-023-00733-5. [PMID: 36692591 PMCID: PMC10400506 DOI: 10.1007/s11357-023-00733-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 01/10/2023] [Indexed: 01/25/2023] Open
Abstract
Hyperventilation (HV) is a voluntary activity that causes changes in the neuronal firing characteristics noticeable in the electroencephalogram (EEG) signals. HV-related changes have been scribed to modulation of pO2/pCO2 blood contents. Therefore, an HV test is routinely used for highlighting brain abnormalities including those depending to neurobiological mechanisms at the basis of neurodegenerative disorders. The main aim of the present paper is to study the effectiveness of HV test in modifying the functional connectivity from the EEG signals that can be typical of a prodromal state of Alzheimer's disease (AD), the Mild Cognitive Impairment prodromal to Alzheimer condition. MCI subjects and a group of age-matched healthy elderly (Ctrl) were enrolled and subjected to EEG recording during HV, eyes-closed (EC), and eyes-open (EO) conditions. Since the cognitive decline in MCI seems to be a progressive disconnection syndrome, the approach we used in the present study is the graph theory, which allows to describe brain networks with a series of different parameters. Small world (SW), modularity (M), and global efficiency (GE) indexes were computed among the EC, EO, and HV conditions comparing the MCI group to the Ctrl one. All the three graph parameters, computed in the typical EEG frequency bands, showed significant changes among the three conditions, and more interestingly, a significant difference in the GE values between the MCI group and the Ctrl one was obtained, suggesting that the combination of HV test and graph theory parameters should be a powerful tool for the detection of possible cerebral dysfunction and alteration.
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Affiliation(s)
- Francesca Miraglia
- Brain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele Roma, Rome, Italy.
- Department of Theoretical and Applied Sciences, eCampus University, Novedrate (Como), Italy.
| | - Chiara Pappalettera
- Brain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele Roma, Rome, Italy
- Department of Theoretical and Applied Sciences, eCampus University, Novedrate (Como), Italy
| | - Valeria Guglielmi
- Dipartimento Neuroscienze, Organi di Senso e Torace, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Alessia Cacciotti
- Brain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele Roma, Rome, Italy
- Department of Theoretical and Applied Sciences, eCampus University, Novedrate (Como), Italy
| | - Rosa Manenti
- Neuropsychology Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Elda Judica
- Department of Neurorehabilitation Sciences, Casa di Cura IGEA, Milano, Italy
| | - Fabrizio Vecchio
- Brain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele Roma, Rome, Italy
- Department of Theoretical and Applied Sciences, eCampus University, Novedrate (Como), Italy
| | - Paolo Maria Rossini
- Brain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele Roma, Rome, Italy
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7
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Yang JG, Thapa N, Park HJ, Bae S, Park KW, Park JH, Park H. Virtual Reality and Exercise Training Enhance Brain, Cognitive, and Physical Health in Older Adults with Mild Cognitive Impairment. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:13300. [PMID: 36293881 PMCID: PMC9602597 DOI: 10.3390/ijerph192013300] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 10/11/2022] [Accepted: 10/12/2022] [Indexed: 06/16/2023]
Abstract
UNLABELLED We investigated the effectiveness of virtual-reality-based cognitive training (VRCT) and exercise on the brain, cognitive, physical and activity of older adults with mild cognitive impairment (MCI). METHODS This study included 99 participants (70.8 ± 5.4) with MCI in the VRCT, exercise, and control groups. The VRCT consisted of a series of games targeting different brain functions such as executive function, memory, and attention. Twenty-four sessions of VRCT (three days/week) were performed, and each session was 100 min long. Exercise intervention consisted of aerobic and resistance trainings performed in 24 sessions for 60 min (2 times/week for 12 weeks). Global cognitive function was measured using the Mini-Mental State Examination (MMSE) test. Resting-state electroencephalography (EEG) of the neural oscillatory activity in different frequency bands was performed. Physical function was measured using handgrip strength (HGS) and gait speed. RESULTS After the intervention period, VRCT significantly improved the MMSE scores (p < 0.05), and the exercise group had significantly improved HGS and MMSE scores (p < 0.05) compared to baseline. One-way analysis of variance (ANOVA) of resting-state EEG showed a decreased theta/beta power ratio (TBR) (p < 0.05) in the central region of the brain in the exercise group compared to the control group. Although not statistically significant, the VRCT group also showed a decreased TBR compared to the control group. The analysis of covariance (ANCOVA) test showed a significant decrease in theta band power in the VRCT group compared to the exercise group and a decrease in delta/alpha ratio in the exercise group compared to the VRCT group. CONCLUSION Our findings suggest that VRCT and exercise training enhances brain, cognitive, and physical health in older adults with MCI. Further studies with a larger population sample to identify the effect of VRCT in combination with exercise training are required to yield peak benefits for patients with MCI.
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Affiliation(s)
- Ja-Gyeong Yang
- Department of Health Sciences, Graduate School, Dong-A University, Busan 49315, Korea
- Laboratory of Smart Healthcare, Dong-A University, Busan 49315, Korea
| | - Ngeemasara Thapa
- Department of Health Sciences, Graduate School, Dong-A University, Busan 49315, Korea
- Laboratory of Smart Healthcare, Dong-A University, Busan 49315, Korea
| | - Hye-Jin Park
- Department of Health Sciences, Graduate School, Dong-A University, Busan 49315, Korea
- Laboratory of Smart Healthcare, Dong-A University, Busan 49315, Korea
| | - Seongryu Bae
- Department of Health Sciences, Graduate School, Dong-A University, Busan 49315, Korea
- Laboratory of Smart Healthcare, Dong-A University, Busan 49315, Korea
| | - Kyung Won Park
- Department of Neurology, College of Medicine, Dong-A University, Busan 49201, Korea
| | - Jong-Hwan Park
- Health Convergence Medicine Laboratory, Biomedical Research Institute, Pusan National University Hospital, Busan 49241, Korea
| | - Hyuntae Park
- Department of Health Sciences, Graduate School, Dong-A University, Busan 49315, Korea
- Laboratory of Smart Healthcare, Dong-A University, Busan 49315, Korea
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8
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Yeh WC, Hsu CY, Li KY, Chien CF, Huang LC, Yang YH. Association between Subclinical Epileptiform Discharge and the Severity of Cognitive Decline in Alzheimer’s Disease: A Longitudinal Cohort Study. J Alzheimers Dis 2022; 90:305-312. [DOI: 10.3233/jad-220567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Alzheimer’s disease (AD) is the most common type of dementia. Aging is a risk factor for both AD and seizures. Subclinical epileptiform discharge (SED) has no evident clinical manifestation in patients with AD. Therefore, SED is liable to be overlooked in these patients since electroencephalography is not routinely performed in clinical settings. Previous studies about the association between SED and AD have yielded inconsistent results. Objective: The current study aimed to evaluate the prevalence of SED and its effect on AD severity and clinical outcomes. Methods: Patients with AD from Kaohsiung Municipal Ta-tung Hospital were included in this study. International 10–20 system scalp electroencephalography for 13 minutes was performed to detect SED. Clinical outcomes of patients with and without SED were assessed by neuropsychological tests [Cognitive Abilities Screening Instrument (CASI), Mini-Mental State Examination (MMSE), and Clinical Dementia Rating Scale Sum of Boxes (CDR-SOB)]. Results: 288 patients (mean age 80.5 years, 60.4% female) were enrolled in this study. Fifty-seven (19.8%) out of 288 patients with AD had SED. The prevalence of SED increased with the severity of cognitive impairment. Compared with patients without SED, those with SED showed significantly greater decline in CASI (–9.32 versus –3.52 points, p = 0.0001) and MMSE (–2.52 versus –1.12 points, p = 0.0042) scores in one year. Conclusion: SED may play a significant role in AD progression and is a potential therapeutic target.
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Affiliation(s)
- Wei-Chih Yeh
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung City, Taiwan
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung City, Taiwan
| | - Chung-Yao Hsu
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung City, Taiwan
- Department of Neurology, College of Medicine, Kaohsiung Medical University, Kaohsiung City, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Kuan-Ying Li
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung City, Taiwan
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung City, Taiwan
| | - Ching-Fang Chien
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung City, Taiwan
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung City, Taiwan
| | - Ling-Chun Huang
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung City, Taiwan
| | - Yuan-Han Yang
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung City, Taiwan
- Department of Neurology, College of Medicine, Kaohsiung Medical University, Kaohsiung City, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
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9
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Ponomareva NV, Andreeva TV, Protasova M, Konovalov RN, Krotenkova MV, Kolesnikova EP, Malina DD, Kanavets EV, Mitrofanov AA, Fokin VF, Illarioshkin SN, Rogaev EI. Genetic association of apolipoprotein E genotype with EEG alpha rhythm slowing and functional brain network alterations during normal aging. Front Neurosci 2022; 16:931173. [PMID: 35979332 PMCID: PMC9376365 DOI: 10.3389/fnins.2022.931173] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 06/27/2022] [Indexed: 12/02/2022] Open
Abstract
The ε4 allele of the apolipoprotein E (APOE4+) genotype is a major genetic risk factor for Alzheimer’s disease (AD), but the mechanisms underlying its influence remain incompletely understood. The study aimed to investigate the possible effect of the APOE genotype on spontaneous electroencephalogram (EEG) alpha characteristics, resting-state functional MRI (fMRI) connectivity (rsFC) in large brain networks and the interrelation of alpha rhythm and rsFC characteristics in non-demented adults during aging. We examined the EEG alpha subband’s relative power, individual alpha peak frequency (IAPF), and fMRI rsFC in non-demented volunteers (age range 26–79 years) stratified by the APOE genotype. The presence of the APOE4+ genotype was associated with lower IAPF and lower relative power of the 11–13 Hz alpha subbands. The age related decrease in EEG IAPF was more pronounced in the APOE4+ carriers than in the APOE4+ non-carriers (APOE4-). The APOE4+ carriers had a stronger fMRI positive rsFC of the interhemispheric regions of the frontoparietal, lateral visual and salience networks than the APOE4– individuals. In contrast, the negative rsFC in the network between the left hippocampus and the right posterior parietal cortex was reduced in the APOE4+ carriers compared to the non-carriers. Alpha rhythm slowing was associated with the dysfunction of hippocampal networks. Our results show that in adults without dementia APOE4+ genotype is associated with alpha rhythm slowing and that this slowing is age-dependent. Our data suggest predominant alterations of inhibitory processes in large-scale brain network of non-demented APOE4+ carriers. Moreover, dysfunction of large-scale hippocampal network can influence APOE-related alpha rhythm vulnerability.
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Affiliation(s)
- Natalya V. Ponomareva
- Research Center of Neurology, Moscow, Russia
- Center for Genetics and Life Science, Sirius University of Science and Technology, Sochi, Russia
- *Correspondence: Natalya V. Ponomareva,
| | - Tatiana V. Andreeva
- Center for Genetics and Life Science, Sirius University of Science and Technology, Sochi, Russia
- Vavilov Institute of General Genetics, Russian Academy of Sciences (RAS), Moscow, Russia
| | - Maria Protasova
- Center for Genetics and Life Science, Sirius University of Science and Technology, Sochi, Russia
- Vavilov Institute of General Genetics, Russian Academy of Sciences (RAS), Moscow, Russia
| | | | | | | | | | | | | | | | | | - Evgeny I. Rogaev
- Center for Genetics and Life Science, Sirius University of Science and Technology, Sochi, Russia
- Vavilov Institute of General Genetics, Russian Academy of Sciences (RAS), Moscow, Russia
- Brudnick Neuropsychiatric Research Institute (BNRI), University of Massachusetts Medical School, Worcester, MA, United States
- Evgeny I. Rogaev,
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10
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Ranasinghe KG, Kudo K, Hinkley L, Beagle A, Lerner H, Mizuiri D, Findlay A, Miller BL, Kramer JH, Gorno-Tempini ML, Rabinovici GD, Rankin KP, Garcia PA, Kirsch HE, Vossel K, Nagarajan SS. Neuronal synchrony abnormalities associated with subclinical epileptiform activity in early-onset Alzheimer's disease. Brain 2022; 145:744-753. [PMID: 34919638 PMCID: PMC9630715 DOI: 10.1093/brain/awab442] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 09/27/2021] [Accepted: 11/09/2021] [Indexed: 11/12/2022] Open
Abstract
Since the first demonstrations of network hyperexcitability in scientific models of Alzheimer's disease, a growing body of clinical studies have identified subclinical epileptiform activity and associated cognitive decline in patients with Alzheimer's disease. An obvious problem presented in these studies is lack of sensitive measures to detect and quantify network hyperexcitability in human subjects. In this study we examined whether altered neuronal synchrony can be a surrogate marker to quantify network hyperexcitability in patients with Alzheimer's disease. Using magnetoencephalography (MEG) at rest, we studied 30 Alzheimer's disease patients without subclinical epileptiform activity, 20 Alzheimer's disease patients with subclinical epileptiform activity and 35 age-matched controls. Presence of subclinical epileptiform activity was assessed in patients with Alzheimer's disease by long-term video-EEG and a 1-h resting MEG with simultaneous EEG. Using the resting-state source-space reconstructed MEG signal, in patients and controls we computed the global imaginary coherence in alpha (8-12 Hz) and delta-theta (2-8 Hz) oscillatory frequencies. We found that Alzheimer's disease patients with subclinical epileptiform activity have greater reductions in alpha imaginary coherence and greater enhancements in delta-theta imaginary coherence than Alzheimer's disease patients without subclinical epileptiform activity, and that these changes can distinguish between Alzheimer's disease patients with subclinical epileptiform activity and Alzheimer's disease patients without subclinical epileptiform activity with high accuracy. Finally, a principal component regression analysis showed that the variance of frequency-specific neuronal synchrony predicts longitudinal changes in Mini-Mental State Examination in patients and controls. Our results demonstrate that quantitative neurophysiological measures are sensitive biomarkers of network hyperexcitability and can be used to improve diagnosis and to select appropriate patients for the right therapy in the next-generation clinical trials. The current results provide an integrative framework for investigating network hyperexcitability and network dysfunction together with cognitive and clinical correlates in patients with Alzheimer's disease.
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Affiliation(s)
- Kamalini G Ranasinghe
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Kiwamu Kudo
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
- Medical Imaging Business Center, Ricoh Company, Ltd, Kanazawa 920-0177, Japan
| | - Leighton Hinkley
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Alexander Beagle
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Hannah Lerner
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Danielle Mizuiri
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Anne Findlay
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Bruce L Miller
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Joel H Kramer
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Maria Luisa Gorno-Tempini
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Gil D Rabinovici
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
- Epilepsy Center, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Katherine P Rankin
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Paul A Garcia
- Epilepsy Center, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Heidi E Kirsch
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
- Epilepsy Center, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Keith Vossel
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
- Mary S. Easton Center for Alzheimer’s Disease Research, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Srikantan S Nagarajan
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
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11
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Amouei Torkmahalleh M, Naseri M, Nurzhan S, Gabdrashova R, Bekezhankyzy Z, Gimnkhan A, Malekipirbazari M, Jouzizadeh M, Tabesh M, Farrokhi H, Mehri-Dehnavi H, Khanbabaie R, Sadeghi S, Khatir AA, Sabanov S, Buonanno G, Hopke PK, Cassee F, Crape B. Human exposure to aerosol from indoor gas stove cooking and the resulting nervous system responses. INDOOR AIR 2022; 32:e12983. [PMID: 35037300 DOI: 10.1111/ina.12983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 12/08/2021] [Accepted: 12/24/2021] [Indexed: 06/14/2023]
Abstract
Our knowledge of the effects of exposure to indoor ultrafine particles (sub-100 nm, #/cm3 ) on human brain activity is very limited. The effects of cooking ultrafine particles (UFP) on healthy adults were assessed using an electroencephalograph (EEGs) for brain response. Peak ultrafine particle concentrations were approximately 3 × 105 particle/cm3, and the average level was 1.64 × 105 particle/cm3 . The average particle number emission rate (S) and the average number decay rate (a+k) for chicken frying in brain experiments were calculated to be 2.82 × 1012 (SD = 1.83 × 1012 , R2 = 0.91, p = 0.0013) particles/min, 0.47 (SD = 0.30, R2 = 0.90, p < 0.0001) min-1 , respectively. EEGs were recorded before and during cooking (14 min) and 30 min after the cooking sessions. The brain fast-wave band (beta) decreased during exposure, similar to people with neurodegenerative diseases. It subsequently increased to its pre-exposure condition for 70% of the study participants after 30 min. The brain slow-wave band to fast-wave band ratio (theta/beta ratio) increased during and after exposure, similar to observed behavior in early-stage Alzheimer's disease (AD) patients. The brain then tended to return to its normal condition within 30 min following the exposure. This study suggests that chronically exposed people to high concentrations of cooking aerosol might progress toward AD.
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Affiliation(s)
- Mehdi Amouei Torkmahalleh
- Department of Chemical and Materials Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Motahareh Naseri
- Department of Chemical and Materials Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Sholpan Nurzhan
- Department of Biology, School of Sciences and Humanities, Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Raikhangul Gabdrashova
- Department of Biology, School of Sciences and Humanities, Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Zhibek Bekezhankyzy
- Department of Chemistry, School of Sciences and Humanities, Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Aidana Gimnkhan
- Department of Chemistry, School of Sciences and Humanities, Nazarbayev University, Nur-Sultan, Kazakhstan
| | | | - Mojtaba Jouzizadeh
- Department of Physics, Neuroscience Laboratory, Babol Noshirvani University of Technology, Babol, Iran
| | - Mahsa Tabesh
- Department of Physics, Neuroscience Laboratory, Babol Noshirvani University of Technology, Babol, Iran
| | - Hamta Farrokhi
- Department of Physics, Neuroscience Laboratory, Babol Noshirvani University of Technology, Babol, Iran
| | - Hossein Mehri-Dehnavi
- Department of Physics, Neuroscience Laboratory, Babol Noshirvani University of Technology, Babol, Iran
| | - Reza Khanbabaie
- Department of Physics, Neuroscience Laboratory, Babol Noshirvani University of Technology, Babol, Iran
| | - Sahar Sadeghi
- Department of Chemical and Materials Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan, Kazakhstan
- Biomedical Engineering Team, Haj Azizi Hospital, Mazandaran University of Medical Sciences, Sari, Iran
| | - Ali Alizadeh Khatir
- Department of Neurology, School of Medicine, Babol University of Medical Sciences, Babol, Iran
- Mobility Impairment Research Center, Babol University of Medical Sciences, Babol, Iran
- Clinical Research Development Unite of Rouhani Hospital, Babol University of Medical Sciences, Babol, Iran
| | - Sergei Sabanov
- Department of Mining, School of Mining and Geosciences, Nur-Sultan, Kazakhstan
| | - Giorgio Buonanno
- Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio, Cassino, Italy
| | - Philip K Hopke
- Department of Public Health Sciences, University of Rochester Medical Center, Rochester, New York, USA
| | - Flemming Cassee
- National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Byron Crape
- Department of Medicine, School of Medicine, Nazarbayev University, Nur-Sultan, Kazakhstan
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12
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Yang B, Liang X, Wu Z, Sun X, Shi Q, Zhan Y, Dan W, Zheng D, Xia Y, Deng B, Xie Y, Jiang L. APOE gene polymorphism alters cerebral oxygen saturation and quantitative EEG in early-stage traumatic brain injury. Clin Neurophysiol 2022; 136:182-190. [DOI: 10.1016/j.clinph.2022.01.131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Revised: 01/11/2022] [Accepted: 01/23/2022] [Indexed: 11/03/2022]
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13
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The Interactive Effect of Genetic and Epigenetic Variations in FKBP5 and ApoE Genes on Anxiety and Brain EEG Parameters. Genes (Basel) 2022; 13:genes13020164. [PMID: 35205209 PMCID: PMC8872390 DOI: 10.3390/genes13020164] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Revised: 01/11/2022] [Accepted: 01/13/2022] [Indexed: 02/04/2023] Open
Abstract
FKBP51 is a key stress-responsive regulator of the hypothalamic–pituitary–adrenal axis. To elucidate the contribution of rs1360780 FKBP5 C/T alleles to aging and longevity, we genotyped FKBP5 in a cohort of 800 non-demented and Alzheimer’s disease (AD) subjects of different age, taking into account the allele state of ApoE ε4, the major risk factor for AD. Furthermore, we searched for the association of FKBP5 with subcohorts of non-demented subjects evaluated for anxiety and resting-state quantitative EEG characteristics, associated with cognitive, emotional, and functional brain activities. We observed that increased state anxiety scores depend on the combination of the FKBP5 and ApoE genotypes and on the DNA methylation state of the FKBP5 promoter and ApoE genotype. We also found a significant gender-dependent correlation between FKBP5 promoter methylation and alpha-, delta-, and theta-rhythms. Analysis of the FKBP5 expression in an independent cohort revealed a significant upregulation of FKBP5 in females versus males. Our data suggest a synergistic effect of the stress-associated (FKBP5) and neurodegeneration-associated (ApoE) gene alleles on anxiety and the gender-dependent effect of FKBP5 on neurophysiological brain activity.
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14
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Smailovic U, Johansson C, Koenig T, Kåreholt I, Graff C, Jelic V. Decreased Global EEG Synchronization in Amyloid Positive Mild Cognitive Impairment and Alzheimer's Disease Patients-Relationship to APOE ε4. Brain Sci 2021; 11:brainsci11101359. [PMID: 34679423 PMCID: PMC8533770 DOI: 10.3390/brainsci11101359] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 10/07/2021] [Accepted: 10/08/2021] [Indexed: 11/16/2022] Open
Abstract
The apolipoprotein E (APOE) ε4 allele is a risk factor for Alzheimer's disease (AD) that has been linked to changes in brain structure and function as well as to different biological subtypes of the disease. The present study aimed to investigate the association of APOE ε4 genotypes with brain functional impairment, as assessed by quantitative EEG (qEEG) in patients on the AD continuum. The study population included 101 amyloid positive patients diagnosed with mild cognitive impairment (MCI) (n = 50) and AD (n = 51) that underwent resting-state EEG recording and CSF Aβ42 analysis. In total, 31 patients were APOE ε4 non-carriers, 42 were carriers of one, and 28 were carriers of two APOE ε4 alleles. Quantitative EEG analysis included computation of the global field power (GFP) and global field synchronization (GFS) in conventional frequency bands. Amyloid positive patients who were carriers of APOE ε4 allele(s) had significantly higher GFP beta and significantly lower GFS in theta and beta bands compared to APOE ε4 non-carriers. Increased global EEG power in beta band in APOE ε4 carriers may represent a brain functional compensatory mechanism that offsets global EEG slowing in AD patients. Our findings suggest that decreased EEG measures of global synchronization in theta and beta bands reflect brain functional deficits related to the APOE ε4 genotype in patients that are on a biomarker-verified AD continuum.
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Affiliation(s)
- Una Smailovic
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 14152 Huddinge, Sweden;
- Department of Clinical Neurophysiology, Karolinska University Hospital, 14186 Huddinge, Sweden
- Correspondence:
| | - Charlotte Johansson
- Division of Neurogeriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 14152 Huddinge, Sweden; (C.J.); (C.G.)
- Clinic for Cognitive Disorders, Karolinska University Hospital, 14186 Huddinge, Sweden
| | - Thomas Koenig
- Translational Research Center, University Hospital of Psychiatry, University of Bern, 3012 Bern, Switzerland;
| | - Ingemar Kåreholt
- Aging Research Centre, Karolinska Institutet and Stockholm University, 17165 Solna, Sweden;
- School of Health and Welfare, Aging Research Network—Jönköping (ARN-J), Institute for Gerontology, Jönköping University, 55111 Jönköping, Sweden
| | - Caroline Graff
- Division of Neurogeriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 14152 Huddinge, Sweden; (C.J.); (C.G.)
- Unit for Hereditary Dementia, Karolinska University Hospital-Solna, 17176 Solna, Sweden
| | - Vesna Jelic
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 14152 Huddinge, Sweden;
- Clinic for Cognitive Disorders, Karolinska University Hospital, 14186 Huddinge, Sweden
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15
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Lamoureux L, Marottoli FM, Tseng KY, Tai LM. APOE4 Promotes Tonic-Clonic Seizures, an Effect Modified by Familial Alzheimer's Disease Mutations. Front Cell Dev Biol 2021; 9:656521. [PMID: 33796539 PMCID: PMC8007905 DOI: 10.3389/fcell.2021.656521] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Accepted: 02/23/2021] [Indexed: 11/13/2022] Open
Abstract
Seizures are emerging as a common symptom in Alzheimer's disease (AD) patients, often attributed to high levels of amyloid β (Aβ). However, the extent that AD disease risk factors modulate seizure activity in aging and AD-relevant contexts is unclear. APOE4 is the greatest genetic risk factor for AD and has been linked to seizures independent of AD and Aβ. The goal of the present study was to evaluate the role of APOE genotype in modulating seizures in the absence and presence of high Aβ levels in vivo. To achieve this goal, we utilized EFAD mice, which express human APOE3 or APOE4 in the absence (EFAD-) or presence (EFAD+) of familial AD mutations that result in Aβ overproduction. When quantified during cage change day, we found that unlike APOE3, APOE4 is associated with tonic-clonic seizures. Interestingly, there were lower tonic-clonic seizures in E4FAD+ mice compared to E4FAD- mice. Restraint handing and auditory stimuli failed to recapitulate the tonic-clonic phenotype in EFAD mice that express APOE4. However, after chemical-induction with pentylenetetrazole, there was a higher incidence of tonic-clonic seizures with APOE4 compared to APOE3. Interestingly, the distribution of seizures to the tonic-clonic phenotype was higher with FAD mutations. These data support that APOE4 is associated with higher tonic-clonic seizures in vivo, and that FAD mutations impact tonic-clonic seizures in a paradigm dependent manner.
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Affiliation(s)
- Lorissa Lamoureux
- Biological Resources Laboratory, University of Illinois at Chicago, Chicago, IL, United States
| | - Felecia M Marottoli
- Department of Anatomy and Cell Biology, College of Medicine, University of Illinois at Chicago, Chicago, IL, United States
| | - Kuei Y Tseng
- Department of Anatomy and Cell Biology, College of Medicine, University of Illinois at Chicago, Chicago, IL, United States
| | - Leon M Tai
- Department of Anatomy and Cell Biology, College of Medicine, University of Illinois at Chicago, Chicago, IL, United States
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16
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Keret O, Hoang TD, Xia F, Rosen HJ, Yaffe K. Association of Late-Onset Unprovoked Seizures of Unknown Etiology With the Risk of Developing Dementia in Older Veterans. JAMA Neurol 2021; 77:710-715. [PMID: 32150220 DOI: 10.1001/jamaneurol.2020.0187] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Importance The incidence of unprovoked seizures and epilepsy increases considerably in late life, with approximately one-third of seizures being of unknown etiology. While individuals with dementia have a high risk of developing unprovoked seizures, it is unknown whether older adults with late-onset unprovoked seizures of unknown etiology (LOSU) are at risk of developing dementia. Objective To determine whether incident LOSU is associated with a higher risk of dementia among older US veterans. Design, Setting, and Participants This retrospective multicenter cohort study was conducted using data from US Veterans Health Administration medical centers from October 2001 to September 2015. Data were generated from all veteran inpatient and outpatient encounters that occurred within Veterans Health Administration facilities. A random sample of 941 524 veterans 55 years and older was generated. A total of 649 262 veterans previously diagnosed (using International Classification of Diseases, Ninth Revision, Clinical Modification codes) with dementia, unprovoked seizures, epilepsy, and conditions that could lead to seizures (brain tumors, trauma, infections, stroke, and neurotoxin exposure) as well as veterans without follow-up data were excluded. Data were analyzed from October 2018 to July 2019. Exposures Late-onset unprovoked seizures of unknown etiology were defined as a new diagnosis of epilepsy or unprovoked seizures without a diagnosis of a secondary cause for seizures. Incident LOSU was assessed during a 5-year baseline period. Main Outcomes and Measures Veterans were assessed for incident dementia diagnosis during an outcome period. Fine-Gray proportional hazards models were used to determine whether LOSU was associated with greater risk of incident dementia. Models were adjusted for demographic variables, cardiovascular risk factors, depression, and traumatic brain injury. Results Of the 292 262 included veterans, 282 628 (96.7%) were male, and the mean (SD) age was 73.0 [8.8] years. During the baseline period, 2166 veterans developed LOSU. The mean (SD) follow-up after LOSU was 6.1 (2.9) years. After multivariable adjustment, veterans with LOSU had greater risk of dementia compared with veterans without seizures (hazard ratio, 1.89; 95% CI, 1.62-2.20). A sensitivity analysis imposing a 2-year lag between incident LOSU and dementia diagnosis led to similar results. Conclusions and Relevance These findings suggest LOSU in older veterans is associated with a 2-fold risk of developing dementia. While seizures are commonly thought to occur in late stages of dementia, these findings suggest unexplained seizures in older adults may be a first sign of neurodegenerative disease.
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Affiliation(s)
- Ophir Keret
- Global Brain Health Institute, University of California, San Francisco
| | - Tina D Hoang
- San Francisco Veterans Affairs Health Care System, San Francisco, California.,Northern California Institute for Research and Education, The Veterans Health Research Institute, San Francisco, California
| | - Feng Xia
- San Francisco Veterans Affairs Health Care System, San Francisco, California.,Northern California Institute for Research and Education, The Veterans Health Research Institute, San Francisco, California
| | - Howard J Rosen
- Global Brain Health Institute, University of California, San Francisco.,Department of Neurology, University of California, San Francisco
| | - Kristine Yaffe
- Global Brain Health Institute, University of California, San Francisco.,San Francisco Veterans Affairs Health Care System, San Francisco, California.,Northern California Institute for Research and Education, The Veterans Health Research Institute, San Francisco, California.,Department of Neurology, University of California, San Francisco.,Department of Psychiatry, University of California, San Francisco.,Department of Epidemiology and Biostatistics, University of California, San Francisco
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17
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Ophir K, Ran B, Felix B, Amir G. Ten year cumulative incidence of dementia after late onset epilepsy of unknown etiology. J Clin Neurosci 2021; 86:247-251. [PMID: 33775336 DOI: 10.1016/j.jocn.2021.01.030] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 12/16/2020] [Accepted: 01/18/2021] [Indexed: 11/17/2022]
Abstract
Recent epidemiological studies suggest late life onset epilepsy of unknown etiology (LOEU) is a risk factor for future dementia. These studies rely on inclusion and exclusion of multiple diagnostic codes rather than structured data and neuroimaging findings, and thus challenging to interpret clinically. We assessed the cumulative incidence of dementia in patients with LOEU diagnosed through admission data and neuroimaging over a 10-year follow-up and compared baseline characteristics that distinguish group level incident dementia. We screened our hospital records for patients aged 55-69 with new epilepsy, admitted between 2000 and 2008, and excluded patients diagnosed with epilepsy from an underlying cause on medical records or neuroimaging. We used retrospective hospital data to follow patients for incident dementia or mortality at 10 years and compared baseline (demographics, depression or anxiety, vascular risk factors, results of electroencephalogram (EEG) studies, antidepressant use and type of ant seizure medication) and follow up (seizure recurrence, incident cerebrovascular disease) characteristics for patients with and without incident dementia. Fifty-four LOEU cases were screened, age at first seizure was 61 ± 5. The 10-year cumulative incidence of dementia was 22.20% (95% Confidence Interval 22.08-23.10%) and time to dementia diagnosis was 5.4 ± 3.9 years. Patients with incident dementia were more likely to be women (83% vs 38%, p = 0.002), have interictal epileptic form discharges (IED) on baseline EEG (70% vs 29%, p = 0.011) and depression or anxiety (50% vs 18%, p = 0.026). No differences were found in other baseline or follow up characteristics. Our results support recent findings of dementia incidence in LOEU. Prospective studies on LOEU should evaluate phenotypic determinants of individuals with late life epilepsy and the rate of progression to dementia.
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Affiliation(s)
- Keret Ophir
- Global Brain Health Institute at University of California San Francisco, San Francisco, CA, USA.
| | - Brauner Ran
- Department of Neurology, Rabin Medical Center, Beilinson Campus, Petach Tikva, Israel; Cognitive Neurology Clinic, Rabin Medical Center, Beilinson Campus, Petach Tikva, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Benninger Felix
- Department of Neurology, Rabin Medical Center, Beilinson Campus, Petach Tikva, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Glik Amir
- Department of Neurology, Rabin Medical Center, Beilinson Campus, Petach Tikva, Israel; Cognitive Neurology Clinic, Rabin Medical Center, Beilinson Campus, Petach Tikva, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
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18
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Macedo A, Gómez C, Rebelo MÂ, Poza J, Gomes I, Martins S, Maturana-Candelas A, Pablo VGD, Durães L, Sousa P, Figueruelo M, Rodríguez M, Pita C, Arenas M, Álvarez L, Hornero R, Lopes AM, Pinto N. Risk Variants in Three Alzheimer's Disease Genes Show Association with EEG Endophenotypes. J Alzheimers Dis 2021; 80:209-223. [PMID: 33522999 PMCID: PMC8075394 DOI: 10.3233/jad-200963] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Background: Dementia due to Alzheimer’s disease (AD) is a complex neurodegenerative disorder, which much of heritability remains unexplained. At the clinical level, one of the most common physiological alterations is the slowing of oscillatory brain activity, measurable by electroencephalography (EEG). Relative power (RP) at the conventional frequency bands (i.e., delta, theta, alpha, beta-1, and beta-2) can be considered as AD endophenotypes. Objective: The aim of this work is to analyze the association between sixteen genes previously related with AD: APOE, PICALM, CLU, BCHE, CETP, CR1, SLC6A3, GRIN2
β, SORL1, TOMM40, GSK3
β, UNC5C, OPRD1, NAV2, HOMER2, and IL1RAP, and the slowing of the brain activity, assessed by means of RP at the aforementioned frequency bands. Methods: An Iberian cohort of 45 elderly controls, 45 individuals with mild cognitive impairment, and 109 AD patients in the three stages of the disease was considered. Genomic information and brain activity of each subject were analyzed. Results: The slowing of brain activity was observed in carriers of risk alleles in IL1RAP (rs10212109, rs9823517, rs4687150), UNC5C (rs17024131), and NAV2 (rs1425227, rs862785) genes, regardless of the disease status and situation towards the strongest risk factors: age, sex, and APOE ɛ4 presence. Conclusion: Endophenotypes reduce the complexity of the general phenotype and genetic variants with a major effect on those specific traits may be then identified. The found associations in this work are novel and may contribute to the comprehension of AD pathogenesis, each with a different biological role, and influencing multiple factors involved in brain physiology.
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Affiliation(s)
- Ana Macedo
- IPATIMUP - Instituto de Patologia e Imunologia Molecular da Universidade do Porto, Porto, Portugal.,i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.,JTA: The Data Scientists, Porto, Portugal
| | - Carlos Gómez
- Grupo de Ingeniería Biomédica, Universidad de Valladolid, Valladolid, Spain.,Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Spain
| | - Miguel Ângelo Rebelo
- IPATIMUP - Instituto de Patologia e Imunologia Molecular da Universidade do Porto, Porto, Portugal.,i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
| | - Jesús Poza
- Grupo de Ingeniería Biomédica, Universidad de Valladolid, Valladolid, Spain.,Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Spain.,Instituto de Investigación en Matemáticas (IMUVA), Universidad de Valladolid, Valladolid, Spain
| | - Iva Gomes
- IPATIMUP - Instituto de Patologia e Imunologia Molecular da Universidade do Porto, Porto, Portugal.,i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
| | - Sandra Martins
- IPATIMUP - Instituto de Patologia e Imunologia Molecular da Universidade do Porto, Porto, Portugal.,i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
| | | | | | - Luis Durães
- Associação Portuguesa de Familiares e Amigos de Doentes de Alzheimer, Lavra, Portugal
| | - Patrícia Sousa
- Associação Portuguesa de Familiares e Amigos de Doentes de Alzheimer, Lavra, Portugal
| | - Manuel Figueruelo
- Asociación de Familiares y Amigos de Enfermos de Alzheimer y otras demencias de Zamora, Zamora, Spain
| | - María Rodríguez
- Asociación de Familiares y Amigos de Enfermos de Alzheimer y otras demencias de Zamora, Zamora, Spain
| | - Carmen Pita
- Asociación de Familiares y Amigos de Enfermos de Alzheimer y otras demencias de Zamora, Zamora, Spain
| | - Miguel Arenas
- IPATIMUP - Instituto de Patologia e Imunologia Molecular da Universidade do Porto, Porto, Portugal.,i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.,CINBIO (Biomedical Research Center), University of Vigo, Vigo, Spain.,Department of Biochemistry, Genetics and Immunology, University of Vigo, Vigo, Spain
| | - Luis Álvarez
- IPATIMUP - Instituto de Patologia e Imunologia Molecular da Universidade do Porto, Porto, Portugal.,i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.,Adeneas, Valencia, Spain
| | - Roberto Hornero
- Grupo de Ingeniería Biomédica, Universidad de Valladolid, Valladolid, Spain.,Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Spain.,Instituto de Investigación en Matemáticas (IMUVA), Universidad de Valladolid, Valladolid, Spain
| | - Alexandra M Lopes
- IPATIMUP - Instituto de Patologia e Imunologia Molecular da Universidade do Porto, Porto, Portugal.,i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
| | - Nádia Pinto
- IPATIMUP - Instituto de Patologia e Imunologia Molecular da Universidade do Porto, Porto, Portugal.,i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.,Centro de Matemática da Universidade do Porto, Porto, Portugal
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19
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Jiang P, Yang X, Sun Z. Dynamics analysis of the hippocampal neuronal model subjected to cholinergic action related with Alzheimer's disease. Cogn Neurodyn 2020; 14:483-500. [PMID: 32655712 PMCID: PMC7334339 DOI: 10.1007/s11571-020-09586-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Revised: 02/24/2020] [Accepted: 03/24/2020] [Indexed: 12/26/2022] Open
Abstract
There are evidences that the region of hippocampus is affected in the early stage of Alzheimer's disease (AD). Moreover, the hippocampal pyramidal neurons receive cholinergic input from the medial septum. Thus, this study, based on the results of electrophysiological experiments, first constructs a modified hippocampal CA1 pyramidal neuronal model by introducing two new currents of M-current and calcium ion-activated potassium ion current to depict the cholinergic input receiving from the medial septum, and then explores how acetylcholine deficiency and beta-amyloid accumulation under the pathological condition of AD influence the neuronal dynamics in terms of theta band power and spiking frequency using computational approach. By simulating acetylcholine potentiated M-current and calcium ion-activated potassium ion current, numerical results reveal that the relative theta band power increases significantly and the firing rate decreases obviously when acetylcholine is deficient. Similarly, by simulating beta-amyloid enhanced delay rectification potassium ion current, we also detect that the relative theta band power increases as well as the firing rate decreases remarkably as beta-amyloid is accumulated. In addition, the mechanism underlying these dynamical changes in theta rhythm and firing behavior is investigated by nonlinear behavioral analysis, which demonstrates that both deficiency in acetylcholine and accumulation in beta-amyloid can promote the emergence of stable equilibrium state in this modified hippocampal neuronal model. Note that acetylcholine deficiency together with beta-amyloid deposition plays key role in the pathogenesis of AD. We expect these findings could have important implications on better understanding pathogenesis and expounding potential biomarkers for AD.
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Affiliation(s)
- PeiHao Jiang
- College of Mathematics and Information Science, Shaanxi Normal University, Xi’an, 710062 People’s Republic of China
| | - XiaoLi Yang
- College of Mathematics and Information Science, Shaanxi Normal University, Xi’an, 710062 People’s Republic of China
| | - ZhongKui Sun
- Department of Applied Mathematics, Northwestern Polytechnical University, Xi’an, 710072 People’s Republic of China
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20
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Gutiérrez-de Pablo V, Gómez C, Poza J, Maturana-Candelas A, Martins S, Gomes I, Lopes AM, Pinto N, Hornero R. Relationship between the Presence of the ApoE ε4 Allele and EEG Complexity along the Alzheimer's Disease Continuum. SENSORS (BASEL, SWITZERLAND) 2020; 20:E3849. [PMID: 32664228 PMCID: PMC7411888 DOI: 10.3390/s20143849] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/07/2020] [Revised: 06/29/2020] [Accepted: 07/08/2020] [Indexed: 12/15/2022]
Abstract
Alzheimer's disease (AD) is the most prevalent cause of dementia, being considered a major health problem, especially in developed countries. Late-onset AD is the most common form of the disease, with symptoms appearing after 65 years old. Genetic determinants of AD risk are vastly unknown, though, ε 4 allele of the ApoE gene has been reported as the strongest genetic risk factor for AD. The objective of this study was to analyze the relationship between brain complexity and the presence of ApoE ε 4 alleles along the AD continuum. For this purpose, resting-state electroencephalography (EEG) activity was analyzed by computing Lempel-Ziv complexity (LZC) from 46 healthy control subjects, 49 mild cognitive impairment subjects, 45 mild AD patients, 44 moderate AD patients and 33 severe AD patients, subdivided by ApoE status. Subjects with one or more ApoE ε 4 alleles were included in the carriers subgroups, whereas the ApoE ε 4 non-carriers subgroups were formed by subjects without any ε 4 allele. Our results showed that AD continuum is characterized by a progressive complexity loss. No differences were observed between AD ApoE ε 4 carriers and non-carriers. However, brain activity from healthy subjects with ApoE ε 4 allele (carriers subgroup) is more complex than from non-carriers, mainly in left temporal, frontal and posterior regions (p-values < 0.05, FDR-corrected Mann-Whitney U-test). These results suggest that the presence of ApoE ε 4 allele could modify the EEG complexity patterns in different brain regions, as the temporal lobes. These alterations might be related to anatomical changes associated to neurodegeneration, increasing the risk of suffering dementia due to AD before its clinical onset. This interesting finding might help to advance in the development of new tools for early AD diagnosis.
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Affiliation(s)
- Víctor Gutiérrez-de Pablo
- Biomedical Engineering Group, E.T.S.I. de Telecomunicación, Universidad de Valladolid, 47011 Valladolid, Spain; (V.G.-d.P.); (J.P.); (A.M.-C.); (R.H.)
| | - Carlos Gómez
- Biomedical Engineering Group, E.T.S.I. de Telecomunicación, Universidad de Valladolid, 47011 Valladolid, Spain; (V.G.-d.P.); (J.P.); (A.M.-C.); (R.H.)
- Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina, (CIBER-BBN), 28029 Madrid, Spain
| | - Jesús Poza
- Biomedical Engineering Group, E.T.S.I. de Telecomunicación, Universidad de Valladolid, 47011 Valladolid, Spain; (V.G.-d.P.); (J.P.); (A.M.-C.); (R.H.)
- Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina, (CIBER-BBN), 28029 Madrid, Spain
- Instituto de Investigación en Matemáticas (IMUVA), Universidad de Valladolid, 47011 Valladolid, Spain
| | - Aarón Maturana-Candelas
- Biomedical Engineering Group, E.T.S.I. de Telecomunicación, Universidad de Valladolid, 47011 Valladolid, Spain; (V.G.-d.P.); (J.P.); (A.M.-C.); (R.H.)
| | - Sandra Martins
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), 4200-135 Porto, Portugal; (S.M.); (I.G.); (A.M.L.); (N.P.)
- Institute of Research and Innovation in Health (i3S), University of Porto, 4200-135 Porto, Portugal
| | - Iva Gomes
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), 4200-135 Porto, Portugal; (S.M.); (I.G.); (A.M.L.); (N.P.)
- Institute of Research and Innovation in Health (i3S), University of Porto, 4200-135 Porto, Portugal
| | - Alexandra M. Lopes
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), 4200-135 Porto, Portugal; (S.M.); (I.G.); (A.M.L.); (N.P.)
- Institute of Research and Innovation in Health (i3S), University of Porto, 4200-135 Porto, Portugal
| | - Nádia Pinto
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), 4200-135 Porto, Portugal; (S.M.); (I.G.); (A.M.L.); (N.P.)
- Institute of Research and Innovation in Health (i3S), University of Porto, 4200-135 Porto, Portugal
- Center of Mathematics of the University of Porto (CMUP), 4169-007 Porto, Portugal
| | - Roberto Hornero
- Biomedical Engineering Group, E.T.S.I. de Telecomunicación, Universidad de Valladolid, 47011 Valladolid, Spain; (V.G.-d.P.); (J.P.); (A.M.-C.); (R.H.)
- Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina, (CIBER-BBN), 28029 Madrid, Spain
- Instituto de Investigación en Matemáticas (IMUVA), Universidad de Valladolid, 47011 Valladolid, Spain
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21
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Ponomareva N, Andreeva T, Protasova M, Konovalov R, Krotenkova M, Malina D, Mitrofanov A, Fokin V, Illarioshkin S, Rogaev E. Genetic Association Between Alzheimer's Disease Risk Variant of the PICALM Gene and EEG Functional Connectivity in Non-demented Adults. Front Neurosci 2020; 14:324. [PMID: 32372909 PMCID: PMC7177435 DOI: 10.3389/fnins.2020.00324] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Accepted: 03/19/2020] [Indexed: 11/13/2022] Open
Abstract
Genome wide association studies (GWAS) have identified and validated the association of the PICALM genotype with Alzheimer's disease (AD). The PICALM rs3851179 A allele is thought to have a protective effect, whereas the G allele appears to confer risk for AD. The influence of the PICALM genotype on brain functional connectivity in non-demented subjects remains largely unknown. We examined the association of the PICALM rs3851179 genotype with the characteristics of lagged linear connectivity (LLC) of resting EEG sources in 104 non-demented adults younger than 60 years of age. The EEG analysis was performed using exact low-resolution brain electromagnetic tomography (eLORETA) freeware (Pascual-Marqui et al., 2011). We found that the carriers of the A PICALM allele (PICALM AA and AG genotypes) had higher widespread interhemispheric LLC of alpha sources compared to the carriers of the GG PICALM allele. An exploratory correlation analysis showed a moderate positive association between the alpha LLC interhemispheric characteristics and the corpus callosum size and between the alpha interhemispheric LLC characteristics and the Luria word memory scores. These results suggest that the PICALM rs3851179 A allele provides protection against cognitive decline by facilitating neurophysiological reserve capacities in non-demented adults. In contrast, lower functional connectivity in carriers of the AD risk variant, PICALM GG, suggests early functional alterations in alpha rhythm networks.
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Affiliation(s)
- Natalya Ponomareva
- Research Center of Neurology, Russian Academy of Sciences, Moscow, Russia
| | - Tatiana Andreeva
- Laboratory of Evolutionary Genomics, Department of Human Genetics and Genomics, Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia.,Center for Genetics and Genetic Technologies, Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Maria Protasova
- Laboratory of Evolutionary Genomics, Department of Human Genetics and Genomics, Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia
| | - Rodion Konovalov
- Research Center of Neurology, Russian Academy of Sciences, Moscow, Russia
| | - Marina Krotenkova
- Research Center of Neurology, Russian Academy of Sciences, Moscow, Russia
| | - Daria Malina
- Research Center of Neurology, Russian Academy of Sciences, Moscow, Russia
| | - Andrey Mitrofanov
- Research Center of Mental Health, Russian Academy of Medical Sciences, Moscow, Russia
| | - Vitaly Fokin
- Research Center of Neurology, Russian Academy of Sciences, Moscow, Russia
| | | | - Evgeny Rogaev
- Laboratory of Evolutionary Genomics, Department of Human Genetics and Genomics, Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia.,Center for Genetics and Genetic Technologies, Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia.,Department of Psychiatry, University of Massachusetts Medical School, Worcester, MA, United States.,Sirius University of Science and Technology, Sochi, Russia
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22
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Musaeus CS, Nielsen MS, Østerbye NN, Høgh P. Decreased Parietal Beta Power as a Sign of Disease Progression in Patients with Mild Cognitive Impairment. J Alzheimers Dis 2019; 65:475-487. [PMID: 30056426 DOI: 10.3233/jad-180384] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
BACKGROUND Electroencephalography (EEG) power has previously been used to compare mild cognitive impairment (MCI) patients who progress to Alzheimer's disease (pMCI) with patients with MCI who remain stable (sMCI) by using beta power. However, the beta band is very broad and smaller frequency bands may improve accuracy. OBJECTIVE In the present study, we wanted to investigate whether it was possible to find any differences between pMCI and sMCI using relative power and whether these differences were correlated to cognitive function or neuropathology markers. METHODS 17 patients with AD, 27 patients with MCI, and 38 older healthy controls were recruited from two memory clinics and followed for three years. EEGs were recorded at baseline for all participants and relative power was calculated. All participants underwent adjusted batteries of standardized cognitive tests and lumbar puncture. RESULTS We found that pMCI showed decreased baseline relative power in the parietal electrodes in the beta1 band (13-17.99 Hz). At 2-year follow-up, we found changes in all baseline beta bands but most pronounced in the beta1 band. In addition, we found that qEEG parietal power was correlated with amyloid-β42 and anterograde memory. CONCLUSION These findings suggests that relative power in the parietal electrodes in the beta1 band may be a better way to discriminate between pMCI and sMCI at the time of diagnosis than the broad beta band. Similar findings have also been found with resting state fMRI. In addition, we found that anterograde memory was correlated to qEEG parietal beta1 power.
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Affiliation(s)
- Christian Sandøe Musaeus
- Department of Neurology, Danish Dementia Research Centre (DDRC), Rigshospitalet, University of Copenhagen, Denmark
| | - Malene Schjønning Nielsen
- Department of Neurology, Regional Dementia Research Centre, Zealand University Hospital, Roskilde, Denmark
| | - Natascha Nellum Østerbye
- Department of Neurology, Regional Dementia Research Centre, Zealand University Hospital, Roskilde, Denmark
| | - Peter Høgh
- Department of Neurology, Regional Dementia Research Centre, Zealand University Hospital, Roskilde, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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23
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Amjad I, Toor H, Niazi IK, Afzal H, Jochumsen M, Shafique M, Allen K, Haavik H, Ahmed T. Therapeutic effects of aerobic exercise on EEG parameters and higher cognitive functions in mild cognitive impairment patients. Int J Neurosci 2019; 129:551-562. [PMID: 30929591 DOI: 10.1080/00207454.2018.1551894] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
BACKGROUND Mild cognitive impairment (MCI) is becoming an emerging problem for developing countries where there is an increase in expected age. There is no specific curative therapeutic treatment available for these patients. OBJECTIVE The objective of this study was to evaluate short and long-term changes in the electroencephalogram (EEG) parameters and cognition of MCI patients with aerobic exercises. METHODS A randomized controlled trial was conducted on 40 patients which were randomly divided into two groups, 'aerobic exercise treatment group (n = 21)' and 'no-aerobic control group (n = 19)'. Short-term effects of exercise were measured after single session of exercise and long-term effects were measured after an 18 sessions (6 weeks) treatment. The outcomes which were measured were, electroenphelogram paramaters (slowness and complexity of the EEG) and cognitive functions (using mini-mental state examination (MMSE), Montreal cognitive assessment (MoCA), and trail making test (TMT) A and B). RESULTS After one session of aerobic exercise there were significant improvements in slowness (delta waves; 0.678 ± 0.035 vs 0.791 ± 0.033; p = .015) and complexity (0.601 ± 0.051 vs 0.470 ± 0.042; p = .027) of the EEG in aerobic exercise treated group as compared to no-aerobic exercise group. After six weeks there were significant improvements in slowness (delta waves; 0.581 ± 0.036 vs 0.815 ± 0.025; p = .005) and complexity (0.751 ± 0.045 vs 0.533 ± 0.046; p = .001) of the EEG in the aerobic group as compared to no-aerobic group. Moreover, significant improvements were observed in the MMSE (p = .032), MoCA (p = .036), TMT-A (p = .005), and TMT-B (p = .007) in aerobic exercise group as compared to no-aerobic group. CONCLUSION Aerobic exercise showed improvement in cognition after short and long-term treatment in MCI subjects and can be used as potential therapeutic candidate.
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Affiliation(s)
- Imran Amjad
- a Neurobiology Laboratory, Department of Healthcare Biotechnology, Atta-ur-Rahman School of Applied Biosciences , National University of Sciences and Technology , Islamabad , Pakistan.,b Department of Physical Therapy, Riphah College of Rehabilitation Sciences , Riphah International University , Islamabad , Pakistan
| | - Hamza Toor
- c Biomedical Engineering Department , Riphah International University , Islamabad , Pakistan
| | - Imran Khan Niazi
- d Center for Chiropractic Research , New Zealand College of Chiropractic , Auckland , New Zealand.,e SMI, Department of Health Science and Technology , Aalborg University , Aalborg , Denmark.,f Health and Rehabilitation Research Institute , Auckland University of Technology , Auckland , New Zealand
| | - Hina Afzal
- b Department of Physical Therapy, Riphah College of Rehabilitation Sciences , Riphah International University , Islamabad , Pakistan
| | - Mads Jochumsen
- e SMI, Department of Health Science and Technology , Aalborg University , Aalborg , Denmark
| | - Muhammad Shafique
- c Biomedical Engineering Department , Riphah International University , Islamabad , Pakistan
| | - Kathryn Allen
- d Center for Chiropractic Research , New Zealand College of Chiropractic , Auckland , New Zealand
| | - Heidi Haavik
- d Center for Chiropractic Research , New Zealand College of Chiropractic , Auckland , New Zealand
| | - Touqeer Ahmed
- a Neurobiology Laboratory, Department of Healthcare Biotechnology, Atta-ur-Rahman School of Applied Biosciences , National University of Sciences and Technology , Islamabad , Pakistan
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Musaeus CS, Engedal K, Høgh P, Jelic V, Mørup M, Naik M, Oeksengaard AR, Snaedal J, Wahlund LO, Waldemar G, Andersen BB. EEG Theta Power Is an Early Marker of Cognitive Decline in Dementia due to Alzheimer's Disease. J Alzheimers Dis 2019; 64:1359-1371. [PMID: 29991135 DOI: 10.3233/jad-180300] [Citation(s) in RCA: 91] [Impact Index Per Article: 18.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
BACKGROUND Quantitative EEG (qEEG) power could potentially be used as a diagnostic tool for Alzheimer's disease (AD) and may further our understanding of the pathophysiology. However, the early qEEG power changes of AD are not well understood. OBJECTIVE To investigate the early changes in qEEG power and the possible correlation with memory function and cerebrospinal fluid biomarkers. In addition, whether qEEG power could discriminate between AD, mild cognitive impairment (MCI), and older healthy controls (HC) at the individual level. METHODS Standard EEGs from 138 HC, 117 MCI, and 117 AD patients were included from six Nordic memory clinics. All EEGs were recorded consecutively before the diagnosis and were not used for the consensus diagnosis. Absolute and relative power was calculated for both eyes closed and open condition. RESULTS At group level using relative power, we found significant increases globally in the theta band and decreases in high frequency power in the temporal regions for eyes closed for AD and, to a lesser extent, for MCI compared to HC. Relative theta power was significantly correlated with multiple neuropsychological measures and had the largest correlation coefficient with total tau. At the individual level, the classification rate for AD and HC was 72.9% for relative power with eyes closed. CONCLUSION Our findings suggest that the increase in relative theta power may be the first change in patients with dementia due to AD. At the individual level, we found a moderate classification rate for AD and HC when using EEGs alone.
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Affiliation(s)
- Christian Sandøe Musaeus
- Department of Neurology, Danish Dementia Research Centre (DDRC), Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Knut Engedal
- Norwegian National Advisory Unit on Ageing and Health (Ageing and Health), Vestfold Hospital Trust and Oslo University Hospital, Ullevaal, Oslo, Norway
| | - Peter Høgh
- Regional Dementia Research Center, Department of Neurology, Zealand University Hospital, Roskilde, Denmark and Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.,Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Vesna Jelic
- Department of Neurobiology, Division of Clinical Geriatrics, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.,Clinic for Cognitive Disorders, Theme Aging, Karolinska University Hospital-Huddinge, Sweden
| | - Morten Mørup
- Section for Cognitive Systems, DTU Compute, Technical University of Denmark, Lyngby, Denmark
| | - Mala Naik
- Department of Geriatric Medicine, Haraldsplass Deaconess Hospital, Bergen, Norway
| | - Anne-Rita Oeksengaard
- Department of Neurobiology, Division of Clinical Geriatrics, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Jon Snaedal
- Department of Geriatric Medicine, Landspítali University Hospital, Reykjavik, Iceland
| | - Lars-Olof Wahlund
- Department of Neurobiology, Division of Clinical Geriatrics, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Gunhild Waldemar
- Department of Neurology, Danish Dementia Research Centre (DDRC), Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Birgitte Bo Andersen
- Department of Neurology, Danish Dementia Research Centre (DDRC), Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
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25
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Koelewijn L, Lancaster TM, Linden D, Dima DC, Routley BC, Magazzini L, Barawi K, Brindley L, Adams R, Tansey KE, Bompas A, Tales A, Bayer A, Singh K. Oscillatory hyperactivity and hyperconnectivity in young APOE-ɛ4 carriers and hypoconnectivity in Alzheimer's disease. eLife 2019; 8:e36011. [PMID: 31038453 PMCID: PMC6491037 DOI: 10.7554/elife.36011] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2018] [Accepted: 04/17/2019] [Indexed: 11/14/2022] Open
Abstract
We studied resting-state oscillatory connectivity using magnetoencephalography in healthy young humans (N = 183) genotyped for APOE-ɛ4, the greatest genetic risk for Alzheimer's disease (AD). Connectivity across frequencies, but most prevalent in alpha/beta, was increased in APOE-ɛ4 in a set of mostly right-hemisphere connections, including lateral parietal and precuneus regions of the Default Mode Network. Similar regions also demonstrated hyperactivity, but only in gamma (40-160 Hz). In a separate study of AD patients, hypoconnectivity was seen in an extended bilateral network that partially overlapped with the hyperconnected regions seen in young APOE-ɛ4 carriers. Using machine-learning, AD patients could be distinguished from elderly controls with reasonable sensitivity and specificity, while young APOE-e4 carriers could also be distinguished from their controls with above chance performance. These results support theories of initial hyperconnectivity driving eventual profound disconnection in AD and suggest that this is present decades before the onset of AD symptomology.
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Affiliation(s)
- Loes Koelewijn
- Cardiff University Brain Research Imaging Centre, School of PsychologyCardiff UniversityCardiffUnited Kingdom
| | - Thomas M Lancaster
- Cardiff University Brain Research Imaging Centre, School of PsychologyCardiff UniversityCardiffUnited Kingdom
- Neuroscience and Mental Health Research Institute, Cardiff UniversityCardiffUnited Kingdom
- MRC Centre for Neuropsychiatric Genetics and GenomicsCardiff UniversityCardiffUnited Kingdom
| | - David Linden
- Cardiff University Brain Research Imaging Centre, School of PsychologyCardiff UniversityCardiffUnited Kingdom
- Neuroscience and Mental Health Research Institute, Cardiff UniversityCardiffUnited Kingdom
- MRC Centre for Neuropsychiatric Genetics and GenomicsCardiff UniversityCardiffUnited Kingdom
| | - Diana C Dima
- Cardiff University Brain Research Imaging Centre, School of PsychologyCardiff UniversityCardiffUnited Kingdom
| | - Bethany C Routley
- Cardiff University Brain Research Imaging Centre, School of PsychologyCardiff UniversityCardiffUnited Kingdom
| | - Lorenzo Magazzini
- Cardiff University Brain Research Imaging Centre, School of PsychologyCardiff UniversityCardiffUnited Kingdom
| | - Kali Barawi
- MRC Centre for Neuropsychiatric Genetics and GenomicsCardiff UniversityCardiffUnited Kingdom
| | - Lisa Brindley
- Cardiff University Brain Research Imaging Centre, School of PsychologyCardiff UniversityCardiffUnited Kingdom
| | - Rachael Adams
- Cardiff University Brain Research Imaging Centre, School of PsychologyCardiff UniversityCardiffUnited Kingdom
| | - Katherine E Tansey
- Core Bioinformatics and Statistics Team, College of Biomedical and Life Sciences, Cardiff UniversityCardiffUnited Kingdom
| | - Aline Bompas
- Cardiff University Brain Research Imaging Centre, School of PsychologyCardiff UniversityCardiffUnited Kingdom
| | - Andrea Tales
- Department of PsychologyCollege of Human and Health Sciences, Swansea UniversitySwanseaUnited Kingdom
| | - Antony Bayer
- School of Medicine, Cardiff UniversityCardiffUnited Kingdom
| | - Krish Singh
- Cardiff University Brain Research Imaging Centre, School of PsychologyCardiff UniversityCardiffUnited Kingdom
- Neuroscience and Mental Health Research Institute, Cardiff UniversityCardiffUnited Kingdom
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26
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Unsupervised excitation: GABAergic dysfunctions in Alzheimer’s disease. Brain Res 2019; 1707:216-226. [DOI: 10.1016/j.brainres.2018.11.042] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Revised: 10/31/2018] [Accepted: 11/27/2018] [Indexed: 12/22/2022]
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27
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Cortini F, Cantoni C, Villa C. Epileptic seizures in autosomal dominant forms of Alzheimer's disease. Seizure 2018; 61:4-7. [PMID: 30041064 DOI: 10.1016/j.seizure.2018.07.015] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Revised: 07/17/2018] [Accepted: 07/19/2018] [Indexed: 12/25/2022] Open
Abstract
Alzheimer's disease (AD) is a heterogeneous neurodegenerative disorder and represents the most common form of dementia in the elderly. Mutations in genes encoding presenilin 1 (PSEN1), presenilin 2 (PSEN2) and amyloid precursor protein (APP) are responsible for early-onset familial AD (EOFAD). Several pieces of evidence report that patients with rare autosomal dominant forms of AD carry a significant risk to develop seizures. However, the molecular mechanisms linking epilepsy and AD are needed to be clarified: the pathophysiology of seizures in AD may be related to an increased production of amyloid-β (Aβ) peptide or structural alterations in neurons probably due to cerebrovascular changes, neurotransmitter or cytoskeletal dysfunctions. Seizures have traditionally been related to neuronal loss in the late stages of AD as a consequence of neurodegeneration, however, recent studies indicated that seizures may contribute to the emergence of AD symptoms in early stages of the disease, mainly in familial AD. So, a better understanding of possible common neural mechanisms might help to improve the clinical management of both conditions. This review aims to give a comprehensive overview and to analyze the association between epilepsy and EOFAD, focusing on possible overlapping pathological mechanisms.
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Affiliation(s)
- Francesca Cortini
- Department of Clinical Sciences and Community Health, University of Milan, IRCCS Ca' Granda Foundation, Milano, Italy; Genetics Laboratory, IRCCS Ca' Granda Foundation, Milan, Italy
| | - Claudia Cantoni
- Department of Neurology, Washington University School of Medicine, St Louis, USA
| | - Chiara Villa
- School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
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28
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Louwersheimer E, Cohn-Hokke PE, Pijnenburg YAL, Weiss MM, Sistermans EA, Rozemuller AJ, Hulsman M, van Swieten JC, van Duijn CM, Barkhof F, Koene T, Scheltens P, Van der Flier WM, Holstege H. Rare Genetic Variant in SORL1 May Increase Penetrance of Alzheimer's Disease in a Family with Several Generations of APOE-ɛ4 Homozygosity. J Alzheimers Dis 2018; 56:63-74. [PMID: 27911290 PMCID: PMC5240543 DOI: 10.3233/jad-160091] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Background: The major genetic risk factor for late onset Alzheimer’s disease (AD) is the APOE-ɛ4 allele. However, APOE-ɛ4 homozygosity is not fully penetrant, suggesting co-occurrence of additional genetic variants. Objective: To identify genetic factors that, next to APOE-ɛ4 homozygosity, contribute to the development of AD. Methods: We identified a family with nine AD patients spanning four generations, with an inheritance pattern suggestive of autosomal dominant AD, with no variants in PSEN1, PSEN2, or APP. We collected DNA from four affected and seven unaffected family members and performed exome sequencing on DNA from three affected and one unaffected family members. Results: All affected family members were homozygous for the APOE-ɛ4 allele. Statistical analysis revealed that AD onset in this family was significantly earlier than could be expected based on APOE genotype and gender. Next to APOE-ɛ4 homozygosity, we found that all four affected family members carried a rare variant in the VPS10 domain of the SORL1 gene, associated with AβPP processing and AD risk. Furthermore, three of four affected family members carried a rare variant in the TSHZ3 gene, also associated with AβPP processing. Affected family members presented between 61 and 74 years, with variable presence of microbleeds/cerebral amyloid angiopathy and electroencephalographic abnormalities. Conclusion: We hypothesize that next to APOE-ɛ4 homozygosity, impaired SORL1 protein function, and possibly impaired TSHZ3 function, further disturbed Aβ processing. The convergence of these genetic factors over several generations might clarify the increased AD penetrance and the autosomal dominant-like inheritance pattern of AD as observed in this family.
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Affiliation(s)
- Eva Louwersheimer
- Alzheimer Center and Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Petra E Cohn-Hokke
- Department of Clinical Genetics, VU University Medical Center, Amsterdam, The Netherlands
| | - Yolande A L Pijnenburg
- Alzheimer Center and Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Marjan M Weiss
- Department of Clinical Genetics, VU University Medical Center, Amsterdam, The Netherlands
| | - Erik A Sistermans
- Department of Clinical Genetics, VU University Medical Center, Amsterdam, The Netherlands
| | | | - Marc Hulsman
- Department of Clinical Genetics, VU University Medical Center, Amsterdam, The Netherlands.,Delft Bioinformatics Laboratory, Delft University of Technology, Delft, The Netherlands
| | - John C van Swieten
- Department of Clinical Genetics, VU University Medical Center, Amsterdam, The Netherlands.,Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Cock M van Duijn
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands.,Institutes of Neurology and Healthcare Engineering, UCL, London, UK
| | - Teddy Koene
- Alzheimer Center & Department of Medical Psychology, VU University Medical Center, Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Center and Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Wiesje M Van der Flier
- Alzheimer Center and Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands.,Department of Epidemiology & Biostatistics, VU University Medical Center, Amsterdam, The Netherlands
| | - Henne Holstege
- Alzheimer Center and Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands.,Department of Clinical Genetics, VU University Medical Center, Amsterdam, The Netherlands
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29
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Michels L, Muthuraman M, Anwar AR, Kollias S, Leh SE, Riese F, Unschuld PG, Siniatchkin M, Gietl AF, Hock C. Changes of Functional and Directed Resting-State Connectivity Are Associated with Neuronal Oscillations, ApoE Genotype and Amyloid Deposition in Mild Cognitive Impairment. Front Aging Neurosci 2017; 9:304. [PMID: 29081745 PMCID: PMC5646353 DOI: 10.3389/fnagi.2017.00304] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2016] [Accepted: 09/04/2017] [Indexed: 01/03/2023] Open
Abstract
The assessment of effects associated with cognitive impairment using electroencephalography (EEG) power mapping allows the visualization of frequency-band specific local changes in oscillatory activity. In contrast, measures of coherence and dynamic source synchronization allow for the study of functional and effective connectivity, respectively. Yet, these measures have rarely been assessed in parallel in the context of mild cognitive impairment (MCI) and furthermore it has not been examined if they are related to risk factors of Alzheimer’s disease (AD) such as amyloid deposition and apolipoprotein ε4 (ApoE) allele occurrence. Here, we investigated functional and directed connectivities with Renormalized Partial Directed Coherence (RPDC) in 17 healthy controls (HC) and 17 participants with MCI. Participants underwent ApoE-genotyping and Pittsburgh compound B positron emission tomography (PiB-PET) to assess amyloid deposition. We observed lower spectral source power in MCI in the alpha and beta bands. Coherence was stronger in HC than MCI across different neuronal sources in the delta, theta, alpha, beta and gamma bands. The directed coherence analysis indicated lower information flow between fronto-temporal (including the hippocampus) sources and unidirectional connectivity in MCI. In MCI, alpha and beta RPDC showed an inverse correlation to age and gender; global amyloid deposition was inversely correlated to alpha coherence, RPDC and beta and gamma coherence. Furthermore, the ApoE status was negatively correlated to alpha coherence and RPDC, beta RPDC and gamma coherence. A classification analysis of cognitive state revealed the highest accuracy using EEG power, coherence and RPDC as input. For this small but statistically robust (Bayesian power analyses) sample, our results suggest that resting EEG related functional and directed connectivities are sensitive to the cognitive state and are linked to ApoE and amyloid burden.
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Affiliation(s)
- Lars Michels
- Clinic of Neuroradiology, University Hospital of ZurichZurich, Switzerland.,MR-Center, University Children's Hospital ZurichZurich, Switzerland
| | - Muthuraman Muthuraman
- Clinic for Neurology, University of KielKiel, Germany.,Clinic for Neurology, University of MainzMainz, Germany
| | - Abdul R Anwar
- Clinic for Neurology, University of KielKiel, Germany
| | - Spyros Kollias
- Clinic of Neuroradiology, University Hospital of ZurichZurich, Switzerland
| | - Sandra E Leh
- Division of Psychiatry Research and Psychogeriatric Medicine, University of ZurichZurich, Switzerland
| | - Florian Riese
- Division of Psychiatry Research and Psychogeriatric Medicine, University of ZurichZurich, Switzerland
| | - Paul G Unschuld
- Division of Psychiatry Research and Psychogeriatric Medicine, University of ZurichZurich, Switzerland
| | - Michael Siniatchkin
- Institute of Medical Psychology and Medical Sociology, Christian-Albrechts-University of KielKiel, Germany
| | - Anton F Gietl
- Division of Psychiatry Research and Psychogeriatric Medicine, University of ZurichZurich, Switzerland
| | - Christoph Hock
- Division of Psychiatry Research and Psychogeriatric Medicine, University of ZurichZurich, Switzerland
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30
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Ochoa JF, Alonso JF, Duque JE, Tobón CA, Baena A, Lopera F, Mañanas MA, Hernández AM. Precuneus Failures in Subjects of the PSEN1 E280A Family at Risk of Developing Alzheimer's Disease Detected Using Quantitative Electroencephalography. J Alzheimers Dis 2017; 58:1229-1244. [PMID: 28550254 DOI: 10.3233/jad-161291] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Presenilin-1 (PSEN1) mutations are the most common cause of familial early onset Alzheimer's disease (AD). The PSEN1 E280A (E280A) mutation has an autosomal dominant inheritance and is involved in the production of amyloid-β. The largest family group of carriers with E280A mutation is found in Antioquia, Colombia. The study of mutation carriers provides a unique opportunity to identify brain changes in stages previous to AD. Electroencephalography (EEG) is a low cost and minimally invasiveness technique that enables the following of brain changes in AD. OBJECTIVE To examine how previous reported differences in EEG for Theta and Alpha-2 rhythms in E280A subjects are related to specific regions in cortex and could be tracked across different ages. METHODS EEG signals were acquired during resting state from non-carriers and carriers, asymptomatic and symptomatic subjects from E280A kindred from Antioquia, Colombia. Independent component analysis (ICA) and inverse solution methods were used to locate brain regions related to differences in Theta and Alpha-2 bands. RESULTS ICA identified two components, mainly related to the Precuneus, where the differences in Theta and Alpha-2 exist simultaneously at asymptomatic and symptomatic stages. When the ratio between Theta and Alpha-2 is used, significant correlations exist with age and a composite cognitive scale. CONCLUSION Theta and Alpha-2 rhythms are altered in E280A subjects. The alterations are possible to track at Precuneus regions using EEG, ICA, and inverse solution methods.
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Affiliation(s)
- John Fredy Ochoa
- Bioinstrumentation and Clinical Engineering Research Group, Bioengineering Program, Universidad de Antioquia, Medellín, Colombia
| | - Joan Francesc Alonso
- Department of Automatic Control (ESAII), Biomedical Engineering Research Center (CREB), Universitat Politènica de Catalunya (UPC), Barcelona, Spain.,Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Spain
| | - Jon Edinson Duque
- Bioinstrumentation and Clinical Engineering Research Group, Bioengineering Program, Universidad de Antioquia, Medellín, Colombia
| | - Carlos Andrés Tobón
- Neuroscience Group of Antioquia, Medical School, Universidad de Antioquia, Medellín, Colombia.,Neuropsychology and Behavior Group, Medical School, Universidad de Antioquia, Medellín, Colombia
| | - Ana Baena
- Neuroscience Group of Antioquia, Medical School, Universidad de Antioquia, Medellín, Colombia
| | - Francisco Lopera
- Neuroscience Group of Antioquia, Medical School, Universidad de Antioquia, Medellín, Colombia
| | - Miguel Angel Mañanas
- Department of Automatic Control (ESAII), Biomedical Engineering Research Center (CREB), Universitat Politènica de Catalunya (UPC), Barcelona, Spain.,Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Spain
| | - Alher Mauricio Hernández
- Bioinstrumentation and Clinical Engineering Research Group, Bioengineering Program, Universidad de Antioquia, Medellín, Colombia
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Ponomareva NV, Andreeva TV, Protasova MS, Shagam LI, Malina DD, Goltsov AY, Fokin VF, Illarioshkin SN, Rogaev EI. Quantitative EEG during normal aging: association with the Alzheimer's disease genetic risk variant in PICALM gene. Neurobiol Aging 2017; 51:177.e1-177.e8. [DOI: 10.1016/j.neurobiolaging.2016.12.010] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2016] [Revised: 11/14/2016] [Accepted: 12/11/2016] [Indexed: 10/20/2022]
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Palop JJ, Mucke L. Network abnormalities and interneuron dysfunction in Alzheimer disease. Nat Rev Neurosci 2016; 17:777-792. [PMID: 27829687 DOI: 10.1038/nrn.2016.141] [Citation(s) in RCA: 618] [Impact Index Per Article: 77.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The function of neural circuits and networks can be controlled, in part, by modulating the synchrony of their components' activities. Network hypersynchrony and altered oscillatory rhythmic activity may contribute to cognitive abnormalities in Alzheimer disease (AD). In this condition, network activities that support cognition are altered decades before clinical disease onset, and these alterations predict future pathology and brain atrophy. Although the precise causes and pathophysiological consequences of these network alterations remain to be defined, interneuron dysfunction and network abnormalities have emerged as potential mechanisms of cognitive dysfunction in AD and related disorders. Here, we explore the concept that modulating these mechanisms may help to improve brain function in these conditions.
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Affiliation(s)
- Jorge J Palop
- Gladstone Institute of Neurological Disease, 1650 Owens Street, San Francisco, California 94158, USA.,Department of Neurology, University of California, San Francisco, 1650 Owens Street, San Francisco, California 94158, USA
| | - Lennart Mucke
- Gladstone Institute of Neurological Disease, 1650 Owens Street, San Francisco, California 94158, USA.,Department of Neurology, University of California, San Francisco, 1650 Owens Street, San Francisco, California 94158, USA
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34
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Vossel KA, Ranasinghe KG, Beagle AJ, Mizuiri D, Honma SM, Dowling AF, Darwish SM, Van Berlo V, Barnes DE, Mantle M, Karydas AM, Coppola G, Roberson ED, Miller BL, Garcia PA, Kirsch HE, Mucke L, Nagarajan SS. Incidence and impact of subclinical epileptiform activity in Alzheimer's disease. Ann Neurol 2016; 80:858-870. [PMID: 27696483 DOI: 10.1002/ana.24794] [Citation(s) in RCA: 339] [Impact Index Per Article: 42.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2016] [Revised: 09/26/2016] [Accepted: 09/27/2016] [Indexed: 12/20/2022]
Abstract
OBJECTIVE Seizures are more frequent in patients with Alzheimer's disease (AD) and can hasten cognitive decline. However, the incidence of subclinical epileptiform activity in AD and its consequences are unknown. Motivated by results from animal studies, we hypothesized higher than expected rates of subclinical epileptiform activity in AD with deleterious effects on cognition. METHODS We prospectively enrolled 33 patients (mean age, 62 years) who met criteria for AD, but had no history of seizures, and 19 age-matched, cognitively normal controls. Subclinical epileptiform activity was assessed, blinded to diagnosis, by overnight long-term video-electroencephalography (EEG) and a 1-hour resting magnetoencephalography exam with simultaneous EEG. Patients also had comprehensive clinical and cognitive evaluations, assessed longitudinally over an average period of 3.3 years. RESULTS Subclinical epileptiform activity was detected in 42.4% of AD patients and 10.5% of controls (p = 0.02). At the time of monitoring, AD patients with epileptiform activity did not differ clinically from those without such activity. However, patients with subclinical epileptiform activity showed faster declines in global cognition, determined by the Mini-Mental State Examination (3.9 points/year in patients with epileptiform activity vs 1.6 points/year in patients without; p = 0.006), and in executive function (p = 0.01). INTERPRETATION Extended monitoring detects subclinical epileptiform activity in a substantial proportion of patients with AD. Patients with this indicator of network hyperexcitability are at risk for accelerated cognitive decline and might benefit from antiepileptic therapies. These data call for more sensitive and comprehensive neurophysiological assessments in AD patient evaluations and impending clinical trials. Ann Neurol 2016;80:858-870.
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Affiliation(s)
- Keith A Vossel
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA
- Gladstone Institute of Neurological Disease, San Francisco, CA
| | - Kamalini G Ranasinghe
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Alexander J Beagle
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Danielle Mizuiri
- Biomagnetic Imaging Laboratory, Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA
| | - Susanne M Honma
- Biomagnetic Imaging Laboratory, Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA
| | - Anne F Dowling
- Biomagnetic Imaging Laboratory, Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA
| | - Sonja M Darwish
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Victoria Van Berlo
- Department of Neurology and Semel Institute for Neuroscience and Human Behavior in the Department of Psychiatry, University of California Los Angeles, Los Angeles, CA
| | - Deborah E Barnes
- Departments of Psychiatry and Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA
- Veterans Affairs Medical Center, San Francisco, CA
| | - Mary Mantle
- Biomagnetic Imaging Laboratory, Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA
- Epilepsy Center, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Anna M Karydas
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Giovanni Coppola
- Department of Neurology and Semel Institute for Neuroscience and Human Behavior in the Department of Psychiatry, University of California Los Angeles, Los Angeles, CA
| | - Erik D Roberson
- Center for Neurodegeneration and Experimental Therapeutics, Department of Neurology and Neurobiology, University of Alabama at Birmingham, Birmingham, AL
| | - Bruce L Miller
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Paul A Garcia
- Epilepsy Center, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Heidi E Kirsch
- Biomagnetic Imaging Laboratory, Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA
- Epilepsy Center, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Lennart Mucke
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA
- Gladstone Institute of Neurological Disease, San Francisco, CA
| | - Srikantan S Nagarajan
- Biomagnetic Imaging Laboratory, Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA
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36
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Malone SM, Burwell SJ, Vaidyanathan U, Miller MB, McGue M, Iacono WG. Heritability and molecular-genetic basis of resting EEG activity: a genome-wide association study. Psychophysiology 2015; 51:1225-45. [PMID: 25387704 DOI: 10.1111/psyp.12344] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Several EEG parameters are potential endophenotypes for different psychiatric disorders. The present study consists of a comprehensive behavioral- and molecular-genetic analysis of such parameters in a large community sample (N = 4,026) of adolescent twins and their parents, genotyped for 527,829 single nucleotide polymorphisms (SNPs). Biometric heritability estimates ranged from .49 to .85, with a median of .78. The additive effect of all SNPs (SNP heritability) varied across electrodes. Although individual SNPs were not significantly associated with EEG parameters, several genes were associated with delta power. We also obtained an association between the GABRA2 gene and beta power (p < .014), consistent with findings reported by others, although this did not survive Bonferroni correction. If EEG parameters conform to a largely polygenic model of inheritance, larger sample sizes will be required to detect individual variants reliably.
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Affiliation(s)
- Stephen M Malone
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota, USA
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Jiang L, Zhong J, Dou X, Cheng C, Huang Z, Sun X. Effects of ApoE on intracellular calcium levels and apoptosis of neurons after mechanical injury. Neuroscience 2015; 301:375-83. [PMID: 26073697 DOI: 10.1016/j.neuroscience.2015.06.005] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2015] [Revised: 05/31/2015] [Accepted: 06/03/2015] [Indexed: 12/18/2022]
Abstract
OBJECTIVE The current study aimed to explore the effects of apolipoprotein e (ApoE) on intracellular calcium ([Ca(2+)]i) and apoptosis of neurons after mechanical injury in vitro. METHODS A neuron mechanical injury model was established after primary neurons obtained from APOE knockout and wild-type (WT) mice, and four experimental groups were generated: Group-ApoE4, Group-ApoE3, Group-ApoE(-) and Group-WT. Recombinant ApoE4 and ApoE3 were added to Group-ApoE4 and Group-ApoE3 respectively, and Group-ApoE(-) and Group-WT were control groups. Intracellular calcium was labeled by fluo-3/AM and examined using laser scanning confocal microscope and flow cytometry, and the apoptosis of neurons was also evaluated. RESULTS The intracellular calcium levels and apoptosis rates of mice neurons were significantly higher in Group-ApoE4 than in Group-ApoE3 and Group-WT after mechanical injury. However, without mechanical injury on neurons, no significant differences in intracellular calcium levels and apoptosis rates were found among all four experimental groups. The effects of ApoE4 on intracellular calcium levels and apoptosis rates of injured neurons were partly decreased by EGTA treatment. CONCLUSION Compared with ApoE3-treatment and WT neurons, ApoE4 caused higher intracellular calcium levels and apoptosis rates of neurons after mechanical injury. This suggested APOE polymorphisms may affect neuron apoptosis after mechanical injury through different influences on intracellular calcium levels.
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Affiliation(s)
- L Jiang
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, PR China
| | - J Zhong
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, PR China
| | - X Dou
- Chongqing Medical University, PR China
| | - C Cheng
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, PR China
| | - Z Huang
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, PR China
| | - X Sun
- Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, PR China.
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Kang Y, Escudero J, Shin D, Ifeachor E, Marmarelis V. Principal Dynamic Mode Analysis of EEG Data for Assisting the Diagnosis of Alzheimer's Disease. IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE-JTEHM 2015; 3:1800110. [PMID: 27170890 PMCID: PMC4848106 DOI: 10.1109/jtehm.2015.2401005] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/24/2014] [Revised: 10/06/2014] [Accepted: 01/04/2015] [Indexed: 11/10/2022]
Abstract
We examine whether modeling of the causal dynamic relationships between frontal and occipital electroencephalogram (EEG) time-series recordings reveal reliable differentiating characteristics of Alzheimer’s patients versus control subjects in a manner that may assist clinical diagnosis of Alzheimer’s disease (AD). The proposed modeling approach utilizes the concept of principal dynamic modes (PDMs) and their associated nonlinear functions (ANF) and hypothesizes that the ANFs of some PDMs for the AD patients will be distinct from their counterparts in control subjects. To this purpose, global PDMs are extracted from 1-min EEG signals of 17 AD patients and 24 control subjects at rest using Volterra models estimated via Laguerre expansions, whereby the O1 or O2 recording is viewed as the input signal and the F3 or F4 recording as the output signal. Subsequent singular value decomposition of the estimated Volterra kernels yields the global PDMs that represent an efficient basis of functions for the representation of the EEG dynamics in all subjects. The respective ANFs are computed for each subject and characterize the specific dynamics of each subject. For comparison, signal features traditionally used in the analysis of EEG signals in AD are computed as benchmark. The results indicate that the ANFs of two specific PDMs, corresponding to the delta–theta and alpha bands, can delineate the two groups well.
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van Straaten EC, Scheltens P, Gouw AA, Stam CJ. Eyes-closed task-free electroencephalography in clinical trials for Alzheimer's disease: an emerging method based upon brain dynamics. ALZHEIMERS RESEARCH & THERAPY 2014; 6:86. [PMID: 25621017 PMCID: PMC4304266 DOI: 10.1186/s13195-014-0086-x] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Electroencephalography (EEG) is a longstanding technique to measure electrical brain activity and thereby an indirect measure of synaptic activity. Synaptic dysfunction accompanies Alzheimer’s disease (AD) and EEG can be regarded as a potentially useful biomarker in this disease. Lately, emerging analysis techniques of time series have become available for EEG, such as functional connectivity and network analysis, which have increased the possibilities for use in AD clinical trials. In this review, we report the EEG changes in the course of AD, including slowing of the EEG oscillations, decreased functional connectivity in the higher-frequency bands, and decline in optimal functional network organization. We discuss the use of EEG in clinical trials and provide directions for future research.
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Affiliation(s)
- Elisabeth Cw van Straaten
- Department of Clinical Neurophysiology, VU University Medical Center, de Bolelaan 1118, P.O. box 7057, 1007 MB Amsterdam, The Netherlands ; Nutricia Research, Nutricia Advanced Medical Nutrition, Utrecht Science Park, Uppsalalaan 12, 3584 CT Utrecht, The Netherlands
| | - Philip Scheltens
- Alzheimer Center & Department of Neurology, VU University Medical Center, de Boelelaan 1118, P.O. box 7057, 1007 MB Amsterdam, the Netherlands
| | - Alida A Gouw
- Department of Clinical Neurophysiology, VU University Medical Center, de Bolelaan 1118, P.O. box 7057, 1007 MB Amsterdam, The Netherlands ; Alzheimer Center & Department of Neurology, VU University Medical Center, de Boelelaan 1118, P.O. box 7057, 1007 MB Amsterdam, the Netherlands
| | - Cornelis J Stam
- Department of Clinical Neurophysiology, VU University Medical Center, de Bolelaan 1118, P.O. box 7057, 1007 MB Amsterdam, The Netherlands
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Transient epileptic amnesia mistaken for mild cognitive impairment? A high-density EEG study. Epilepsy Behav 2014; 36:41-6. [PMID: 24857807 DOI: 10.1016/j.yebeh.2014.04.014] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2013] [Revised: 04/15/2014] [Accepted: 04/18/2014] [Indexed: 02/07/2023]
Abstract
Mild cognitive impairment (MCI) converts to Alzheimer's disease within a few years of diagnosis in up to 80% of patients. The identification among such a population of a rare form of epilepsy (transient epileptic amnesia [TEA]), characterized by mixed anterograde and retrograde amnesia with apparent preservation of other cognitive functions, excessively rapid decay of newly acquired memories, and loss of memories for salient personal events of the remote past, strongly affects prognosis and medical treatment. Our aim was to define the clinical utility of routine high-density electroencephalography (EEG) in patients with MCI for the detection of epilepsy, especially TEA. Using high-density EEG (256 channels), we were able to single out 3 cases of TEA previously misdiagnosed as MCI in this cohort of 76 consecutive patients with MCI diagnosed at our center. Antiepileptic treatment effectively stopped the acute episodes of memory loss. To our knowledge, this is the first report of an incidence of 4% of TEA recorded in such a cohort.
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Ponomareva N, Klyushnikov S, Abramycheva N, Malina D, Scheglova N, Fokin V, Ivanova-Smolenskaia I, Illarioshkin S. Alpha-theta border EEG abnormalities in preclinical Huntington's disease. J Neurol Sci 2014; 344:114-20. [PMID: 25015843 DOI: 10.1016/j.jns.2014.06.035] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2013] [Revised: 05/23/2014] [Accepted: 06/17/2014] [Indexed: 10/25/2022]
Abstract
BACKGROUND Brain dysfunction precedes clinical manifestation of Huntington's disease (HD) by decades. This study was aimed to determine whether resting EEG is altered in preclinical HD mutations carriers (pre-HD). METHODS We examined relative power of broad traditional EEG bands as well as 1-Hz sub-bands of theta and alpha from the resting-state EEG of 29 pre-HD individuals and of 29 age-matched normal controls. RESULTS The relative power of the narrow sub-band in the border of theta-alpha (7-8 Hz) was significantly reduced in pre-HD subjects as compared to normal controls, while the alterations in relative power of the broad frequency bands were not significant. In pre-HD subjects, the number of CAG repeats in the huntingtin (HTT) gene as well as the disease burden score (DBS) showed a positive correlation with relative power of the delta and theta frequency bands and their sub-bands and a negative correlation with alpha band relative power and the differences of relative power of the 7-8 Hz and 4-5 Hz frequency sub-bands. CONCLUSION The obtained results suggest that EEG alterations in pre-HD individuals may be related to the course of the pathological process and to HD endophenotype. Analysis of the narrow EEG bands was found to be more useful for assessing EEG alterations in pre-HD individuals than a more traditional approach using broad bandwidths.
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Affiliation(s)
- Natalya Ponomareva
- Department for Brain Research, Research Center of Neurology, Russian Academy of Medical Sciences, Moscow, Russia.
| | - Sergey Klyushnikov
- Department of Neurogenetics, Research Center of Neurology, Russian Academy of Medical Sciences, Moscow, Russia
| | - Natalya Abramycheva
- Department of Neurogenetics, Research Center of Neurology, Russian Academy of Medical Sciences, Moscow, Russia
| | - Daria Malina
- Department for Brain Research, Research Center of Neurology, Russian Academy of Medical Sciences, Moscow, Russia
| | - Nadejda Scheglova
- Department for Brain Research, Research Center of Neurology, Russian Academy of Medical Sciences, Moscow, Russia
| | - Vitaly Fokin
- Department for Brain Research, Research Center of Neurology, Russian Academy of Medical Sciences, Moscow, Russia
| | - Irina Ivanova-Smolenskaia
- Department of Neurogenetics, Research Center of Neurology, Russian Academy of Medical Sciences, Moscow, Russia
| | - Sergey Illarioshkin
- Department for Brain Research, Research Center of Neurology, Russian Academy of Medical Sciences, Moscow, Russia; Department of Neurogenetics, Research Center of Neurology, Russian Academy of Medical Sciences, Moscow, Russia
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Bhalla D, Godet B, Druet-Cabanac M, Preux PM. Etiologies of epilepsy: a comprehensive review. Expert Rev Neurother 2014; 11:861-76. [DOI: 10.1586/ern.11.51] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
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Ponomareva N, Andreeva T, Protasova M, Shagam L, Malina D, Goltsov A, Fokin V, Mitrofanov A, Rogaev E. Age-dependent effect of Alzheimer's risk variant of CLU on EEG alpha rhythm in non-demented adults. Front Aging Neurosci 2013; 5:86. [PMID: 24379779 PMCID: PMC3861782 DOI: 10.3389/fnagi.2013.00086] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2013] [Accepted: 11/19/2013] [Indexed: 12/22/2022] Open
Abstract
Polymorphism in the genomic region harboring the CLU gene (rs11136000) has been associated with the risk for Alzheimer’s disease (AD). CLU C allele is assumed to confer risk for AD and the allele T may have a protective effect. We investigated the influence of the AD-associated CLU genotype on a common neurophysiological trait of brain activity (resting-state alpha-rhythm activity) in non-demented adults and elucidated whether this influence is modified over the course of aging. We examined quantitative electroencephalography (EEG) in a cohort of non-demented individuals (age range 20–80) divided into young (age range 20–50) and old (age range 51–80) cohorts and stratified by CLU polymorphism. To rule out the effect of the apolipoprotein E (ApoE) genotype on EEG characteristics, only subjects without the ApoE ε4 allele were included in the study. The homozygous presence of the AD risk variant CLU CC in non-demented subjects was associated with an increase of alpha3 absolute power. Moreover, the influence of CLU genotype on alpha3 was found to be higher in the subjects older than 50 years of age. The study also showed age-dependent alterations of alpha topographic distribution that occur independently of the CLU genotype. The increase of upper alpha power has been associated with hippocampal atrophy in patients with mild cognitive impairment (Moretti etal., 2012a). In our study, the CLU CC-dependent increase in upper alpha rhythm, particularly enhanced in elderly non-demented individuals, may imply that the genotype is related to preclinical dysregulation of hippocampal neurophysiology in aging and that this factor may contribute to the pathogenesis of AD.
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Affiliation(s)
- Natalya Ponomareva
- Brain Research Department, Research Center of Neurology Russian Academy of Medical Science Moscow, Russia
| | - Tatiana Andreeva
- Vavilov Institute of General Genetics, Russian Academy of Sciences Moscow, Russia ; Center of Brain Neurobiology and Neurogenetics, Institute of Cytogenetics and Genetics, Russian Academy of Sciences Novosibirsk, Russia
| | - Maria Protasova
- Vavilov Institute of General Genetics, Russian Academy of Sciences Moscow, Russia
| | - Lev Shagam
- Vavilov Institute of General Genetics, Russian Academy of Sciences Moscow, Russia
| | - Daria Malina
- Brain Research Department, Research Center of Neurology Russian Academy of Medical Science Moscow, Russia
| | - Andrei Goltsov
- Vavilov Institute of General Genetics, Russian Academy of Sciences Moscow, Russia
| | - Vitaly Fokin
- Brain Research Department, Research Center of Neurology Russian Academy of Medical Science Moscow, Russia
| | | | - Evgeny Rogaev
- Vavilov Institute of General Genetics, Russian Academy of Sciences Moscow, Russia ; Center of Brain Neurobiology and Neurogenetics, Institute of Cytogenetics and Genetics, Russian Academy of Sciences Novosibirsk, Russia ; University of Massachusetts Medical School, Department of Psychiatry, BNRI Worcester, MA, USA
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Vossel KA, Beagle AJ, Rabinovici GD, Shu H, Lee SE, Naasan G, Hegde M, Cornes SB, Henry ML, Nelson AB, Seeley WW, Geschwind MD, Gorno-Tempini ML, Shih T, Kirsch HE, Garcia PA, Miller BL, Mucke L. Seizures and epileptiform activity in the early stages of Alzheimer disease. JAMA Neurol 2013; 70:1158-66. [PMID: 23835471 DOI: 10.1001/jamaneurol.2013.136] [Citation(s) in RCA: 481] [Impact Index Per Article: 43.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
IMPORTANCE Epileptic activity associated with Alzheimer disease (AD) deserves increased attention because it has a harmful impact on these patients, can easily go unrecognized and untreated, and may reflect pathogenic processes that also contribute to other aspects of the illness. We report key features of AD-related seizures and epileptiform activity that are instructive for clinical practice and highlight similarities between AD and transgenic animal models of the disease. OBJECTIVE To describe common clinical characteristics and treatment outcomes of patients with amnestic mild cognitive impairment (aMCI) or early AD who also have epilepsy or subclinical epileptiform activity. DESIGN Retrospective observational study from 2007 to 2012. SETTING Memory and Aging Center, University of California, San Francisco. PATIENTS We studied 54 patients with a diagnosis of aMCI plus epilepsy (n = 12), AD plus epilepsy (n = 35), and AD plus subclinical epileptiform activity (n = 7). MAIN OUTCOMES AND MEASURES Clinical and demographic data, electroencephalogram (EEG) readings, and treatment responses to antiepileptic medications. RESULTS Patients with aMCI who had epilepsy presented with symptoms of cognitive decline 6.8 years earlier than patients with aMCI who did not have epilepsy (64.3 vs 71.1 years; P = .02). Patients with AD who had epilepsy presented with cognitive decline 5.5 years earlier than patients with AD who did not have epilepsy (64.8 vs 70.3 years; P = .001). Patients with AD who had subclinical epileptiform activity also had an early onset of cognitive decline (58.9 years). The timing of seizure onset in patients with aMCI and AD was nonuniform (P < .001), clustering near the onset of cognitive decline. Epilepsies were most often complex partial seizures (47%) and more than half were nonconvulsive (55%). Serial or extended EEG monitoring appeared to be more effective than routine EEG at detecting interictal and subclinical epileptiform activity. Epileptic foci were predominantly unilateral and temporal. Of the most commonly prescribed antiepileptics, treatment outcomes appeared to be better for lamotrigine and levetiracetam than for phenytoin. CONCLUSIONS AND RELEVANCE Common clinical features of patients with aMCI- or AD-associated epilepsy at our center included early age at onset of cognitive decline, early incidence of seizures in the disease course, unilateral temporal epileptic foci detected by serial/extended EEG, transient cognitive dysfunction, and good seizure control and tolerability with lamotrigine and levetiracetam. Careful identification and treatment of epilepsy in such patients may improve their clinical course.
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Affiliation(s)
- Keith A Vossel
- Gladstone Institute of Neurological Disease, San Francisco, California2Memory and Aging Center, Department of Neurology, University of California, San Francisco, California
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Quantitative EEG and apolipoprotein E-genotype improve classification of patients with suspected Alzheimer’s disease. Clin Neurophysiol 2013; 124:2146-52. [DOI: 10.1016/j.clinph.2013.04.339] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2012] [Revised: 04/19/2013] [Accepted: 04/23/2013] [Indexed: 11/18/2022]
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de Waal H, Stam CJ, de Haan W, van Straaten ECW, Blankenstein MA, Scheltens P, van der Flier WM. Alzheimer's disease patients not carrying the apolipoprotein E ε4 allele show more severe slowing of oscillatory brain activity. Neurobiol Aging 2013; 34:2158-63. [PMID: 23587637 DOI: 10.1016/j.neurobiolaging.2013.03.007] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2012] [Revised: 02/22/2013] [Accepted: 03/11/2013] [Indexed: 11/17/2022]
Abstract
The objective of this study was to quantitatively assess the relationship between apolipoprotein (APOE) genotype and electroencephalographic oscillatory brain dynamics in Alzheimer's disease (AD) patients and control subjects and its regional distribution. We obtained resting-state electroencephalographs of 320 AD patients and 246 control subjects, categorized into APOE ε4 carriers and noncarriers. Peak frequency and relative power in 4 different frequency bands were calculated. We tested the associations between APOE genotype and relative power in 4 brain regions. Peak frequency was comparable in APOE ε4 carrying and noncarrying control subjects, but lower in APOE ε4 noncarrying AD patients. In control subjects, APOE ε4 carriers had a different regional distribution of alpha power than noncarriers. We found no APOE effect in beta, delta, and theta bands. In AD, APOE ε4 noncarriers had lower alpha and higher delta power than carriers. This difference was most pronounced in the parieto-occipital region. In the theta band, APOE ε4 noncarriers had a different regional distribution of power compared with carriers. In conclusion, the most pronounced effect of genotype was seen in AD patients, and APOE ε4 noncarriers showed slower activity, especially in parieto-occipital regions.
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Affiliation(s)
- Hanneke de Waal
- Alzheimer Center and Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands.
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Watson P, Conroy A, Moran G, Duncan S. Retrospective study of sensitivity and specificity of EEG in the elderly compared with younger age groups. Epilepsy Behav 2012; 25:408-11. [PMID: 23110971 DOI: 10.1016/j.yebeh.2012.07.030] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2012] [Revised: 07/18/2012] [Accepted: 07/31/2012] [Indexed: 11/17/2022]
Abstract
Following a recommendation from a Good Practice Guide published in Scotland stating that EEG should not be routinely used in the diagnosis of epilepsy in the elderly, we conducted a retrospective study to ascertain the effects this recommendation had. We found that predating the recommendation, there had already been a decline in the use of EEG in people aged 65 and over. Detailed examination of a 3.5-year epoch which straddled 2 years before the recommendation and 1.5 years after its publication revealed no evidence of a change in the type of referrals but just in the number of referrals. Comparison with 2 younger cohorts showed that EEG in the elderly had the same specificity and sensitivity as in the younger age groups and was of particular use in picking up previously unsuspected non-convulsive status. We conclude the EEG remains an important diagnostic adjunct in the elderly.
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Affiliation(s)
- Philip Watson
- Department of Neurophysiology, Western General Hospital, Edinburgh EH4 2XU, Scotland, UK
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Dumanis SB, DiBattista AM, Miessau M, Moussa CEH, Rebeck GW. APOE genotype affects the pre-synaptic compartment of glutamatergic nerve terminals. J Neurochem 2012; 124:4-14. [PMID: 22862561 DOI: 10.1111/j.1471-4159.2012.07908.x] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2012] [Revised: 07/19/2012] [Accepted: 07/23/2012] [Indexed: 11/28/2022]
Abstract
Apolipoprotein E (APOE) genotype affects outcomes of Alzheimer's disease and other conditions of brain damage. Using APOE knock-in mice, we have previously shown that APOE-ε4 Targeted Replacement (TR) mice have fewer dendritic spines and reduced branching in cortical neurons. As dendritic spines are post-synaptic sites of excitatory neurotransmission, we used APOE TR mice to examine whether APOE genotype affected the various elements of the glutamate-glutamine cycle. We found that levels of glutamine synthetase and glutamate uptake transporters were unchanged among the APOE genotypes. However, compared with APOE-ε3 TR mice, APOE-ε4 TR mice had decreased glutaminase levels (18%, p < 0.05), suggesting decreased conversion of glutamine to glutamate. APOE-ε4 TR mice also had increased levels of the vesicular glutamate transporter 1 (20%, p < 0.05), suggesting that APOE genotype affects pre-synaptic terminal composition. To address whether these changes affected normal neurotransmission, we examined the production and metabolism of glutamate and glutamine at 4-5 months and 1 year. Using high-frequency (13)C/(1)H nuclear magnetic resonance spectroscopy, we found that APOE-ε4 TR mice have decreased production of glutamate and increased levels of glutamine. These factors may contribute to the increased risk of neurodegeneration associated with APOE-ε4, and also act as surrogate markers for Alzheimer's disease risk.
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Affiliation(s)
- Sonya B Dumanis
- Department of Neuroscience, Georgetown University Medical Center, Washington, DC 20057, USA
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Culmone V, Migliore M. Progressive effect of beta amyloid peptides accumulation on CA1 pyramidal neurons: a model study suggesting possible treatments. Front Comput Neurosci 2012; 6:52. [PMID: 22837746 PMCID: PMC3402026 DOI: 10.3389/fncom.2012.00052] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2012] [Accepted: 07/05/2012] [Indexed: 12/24/2022] Open
Abstract
Several independent studies show that accumulation of β-amyloid (Aβ) peptides, one of the characteristic hallmark of Alzheimer's Disease (AD), can affect normal neuronal activity in different ways. However, in spite of intense experimental work to explain the possible underlying mechanisms of action, a comprehensive and congruent understanding is still lacking. Part of the problem might be the opposite ways in which Aβ have been experimentally found to affect the normal activity of a neuron; for example, making a neuron more excitable (by reducing the A- or DR-type K+ currents) or less excitable (by reducing synaptic transmission and Na+ current). The overall picture is therefore confusing, since the interplay of many mechanisms makes it difficult to link individual experimental findings with the more general problem of understanding the progression of the disease. This is an important issue, especially for the development of new drugs trying to ameliorate the effects of the disease. We addressed these paradoxes through computational models. We first modeled the different stages of AD by progressively modifying the intrinsic membrane and synaptic properties of a realistic model neuron, while accounting for multiple and different experimental findings and by evaluating the contribution of each mechanism to the overall modulation of the cell's excitability. We then tested a number of manipulations of channel and synaptic activation properties that could compensate for the effects of Aβ. The model predicts possible therapeutic treatments in terms of pharmacological manipulations of channels' kinetic and activation properties. The results also suggest how and which mechanisms can be targeted by a drug to restore the original firing conditions.
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Affiliation(s)
- Viviana Culmone
- Institute of Biophysics, National Research Council Palermo, Italy
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Hunter JM, Cirrito JR, Restivo JL, Kinley RD, Sullivan PM, Holtzman DM, Koger D, Delong C, Lin S, Zhao L, Liu F, Bales K, Paul SM. Emergence of a seizure phenotype in aged apolipoprotein epsilon 4 targeted replacement mice. Brain Res 2012; 1467:120-32. [PMID: 22682924 DOI: 10.1016/j.brainres.2012.05.048] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2012] [Revised: 05/22/2012] [Accepted: 05/23/2012] [Indexed: 01/29/2023]
Abstract
The apolipoprotein ε4 allele is the strongest genetic risk factor for late-onset Alzheimer's disease (AD) and is associated with earlier age of onset. The incidence of spontaneous seizures has been reported to be increased in sporadic AD as well as in the early onset autosomal dominant forms of AD. We now report the emergence of a seizure phenotype in aged apolipoprotein E4 (apoE4) targeted replacement (TR) mice but not in age-matched apoE2 TR or apoE3 TR mice. Tonic-clonic seizures developed spontaneously after 5 months of age in apoE4 TR mice and are triggered by mild stress. Female mice had increased seizure penetrance compared to male mice, but had slightly reduced overall seizure severity. The majority of seizures were characterized by head and neck jerks, but 25% of aged apoE4 TR mice had more severe tonic-clonic seizures which occasionally progressed to tonic extension and death. Aged apoE4 TR mice progressed through pentylenetetrazol-induced seizure stages more rapidly than did apoE3 TR and apoE2 TR mice. Electroencephalographic (EEG) recordings revealed more frequent bursts of synchronous theta activity in the hippocampus of apoE4 TR mice than in apoE2 TR or apoE3 TR mice. Cortical EEG recordings also revealed sharp spikes and other abnormalities in apoE4 TR mice. Taken together, these findings demonstrate the emergence of an age-dependent seizure phenotype in old apoE4 TR mice in the absence of human amyloid-β peptide (Aβ) overexpression, suggesting increased central nervous system neural network excitability.
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Affiliation(s)
- Jesse M Hunter
- Neuroscience Discovery, Eli Lilly and Co., Indianapolis, IN 46285, USA.
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