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Belloy ME, Eger SJ, Le Guen Y, Damotte V, Ahmad S, Ikram MA, Ramirez A, Tsolaki AC, Rossi G, Jansen IE, de Rojas I, Parveen K, Sleegers K, Ingelsson M, Hiltunen M, Amin N, Andreassen O, Sánchez-Juan P, Kehoe P, Amouyel P, Sims R, Frikke-Schmidt R, van der Flier WM, Lambert JC, He Z, Han SS, Napolioni V, Greicius MD. Challenges at the APOE locus: a robust quality control approach for accurate APOE genotyping. Alzheimers Res Ther 2022; 14:22. [PMID: 35120553 PMCID: PMC8815198 DOI: 10.1186/s13195-022-00962-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 01/12/2022] [Indexed: 04/22/2023]
Abstract
BACKGROUND Genetic variants within the APOE locus may modulate Alzheimer's disease (AD) risk independently or in conjunction with APOE*2/3/4 genotypes. Identifying such variants and mechanisms would importantly advance our understanding of APOE pathophysiology and provide critical guidance for AD therapies aimed at APOE. The APOE locus however remains relatively poorly understood in AD, owing to multiple challenges that include its complex linkage structure and uncertainty in APOE*2/3/4 genotype quality. Here, we present a novel APOE*2/3/4 filtering approach and showcase its relevance on AD risk association analyses for the rs439401 variant, which is located 1801 base pairs downstream of APOE and has been associated with a potential regulatory effect on APOE. METHODS We used thirty-two AD-related cohorts, with genetic data from various high-density single-nucleotide polymorphism microarrays, whole-genome sequencing, and whole-exome sequencing. Study participants were filtered to be ages 60 and older, non-Hispanic, of European ancestry, and diagnosed as cognitively normal or AD (n = 65,701). Primary analyses investigated AD risk in APOE*4/4 carriers. Additional supporting analyses were performed in APOE*3/4 and 3/3 strata. Outcomes were compared under two different APOE*2/3/4 filtering approaches. RESULTS Using more conventional APOE*2/3/4 filtering criteria (approach 1), we showed that, when in-phase with APOE*4, rs439401 was variably associated with protective effects on AD case-control status. However, when applying a novel filter that increases the certainty of the APOE*2/3/4 genotypes by applying more stringent criteria for concordance between the provided APOE genotype and imputed APOE genotype (approach 2), we observed that all significant effects were lost. CONCLUSIONS We showed that careful consideration of APOE genotype and appropriate sample filtering were crucial to robustly interrogate the role of the APOE locus on AD risk. Our study presents a novel APOE filtering approach and provides important guidelines for research into the APOE locus, as well as for elucidating genetic interaction effects with APOE*2/3/4.
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Affiliation(s)
- Michael E Belloy
- Department of Neurology and Neurological Sciences - Greicius lab, Stanford University, 290 Jane Stanford Way, Stanford, CA, 94304, USA.
| | - Sarah J Eger
- Department of Neurology and Neurological Sciences - Greicius lab, Stanford University, 290 Jane Stanford Way, Stanford, CA, 94304, USA
| | - Yann Le Guen
- Department of Neurology and Neurological Sciences - Greicius lab, Stanford University, 290 Jane Stanford Way, Stanford, CA, 94304, USA
| | - Vincent Damotte
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Lille, France
| | - Shahzad Ahmad
- Department of Epidemiology, ErasmusMC, Rotterdam, The Netherlands
- Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, ErasmusMC, Rotterdam, The Netherlands
| | - Alfredo Ramirez
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Department of Neurodegenerative diseases and Geriatric Psychiatry, Medical Faculty, University Hospital Bonn, Bonn, Germany
- Department of Psychiatry & Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, San Antonio, TX, USA
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Cluster of Excellence Cellular Stress Responses in Aging-associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Anthoula C Tsolaki
- 1st Department of Neurology, AHEPA Hospital, Aristotle University of Thessaloniki, Athens, Greece
| | - Giacomina Rossi
- Unit of Neurology V and Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Iris E Jansen
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije University, Amsterdam, The Netherlands
| | - Itziar de Rojas
- Research Center and Memory Clinic, ACE Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
- Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Kayenat Parveen
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Department of Neurodegenerative diseases and Geriatric Psychiatry, Medical Faculty, University Hospital Bonn, Bonn, Germany
| | - Kristel Sleegers
- Complex Genetics of Alzheimer's Disease Group, Center for Molecular Neurology, VIB, Antwerp, Belgium
- Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Martin Ingelsson
- Department of Public Health and Carins Sciences/Geriatrics, Uppsala University, Uppsala, Sweden
| | - Mikko Hiltunen
- Institute of Biomedicine, University of Eastern Finland, Yliopistonranta 1E, 70211, Kuopio, Finland
| | - Najaf Amin
- Department of Epidemiology, ErasmusMC, Rotterdam, The Netherlands
- Nuffield Department of Population Health Oxford University, Oxford, UK
| | - Ole Andreassen
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Pascual Sánchez-Juan
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Neurology Service, Marqués de Valdecilla University Hospital (University of Cantabria and IDIVAL), Santander, Spain
| | - Patrick Kehoe
- Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Philippe Amouyel
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Lille, France
| | - Rebecca Sims
- Division of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, Wales, UK
| | - Ruth Frikke-Schmidt
- Department of Clinical Biochemistry, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Jean-Charles Lambert
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Lille, France
| | - Zihuai He
- Department of Neurology and Neurological Sciences - Greicius lab, Stanford University, 290 Jane Stanford Way, Stanford, CA, 94304, USA
- Quantitative Sciences Unit, Department of Medicine, Stanford University, Stanford, CA, 94304, USA
| | - Summer S Han
- Quantitative Sciences Unit, Department of Medicine, Stanford University, Stanford, CA, 94304, USA
- Department of Neurosurgery, Stanford University, Stanford, CA, 94304, USA
| | - Valerio Napolioni
- School of Biosciences and Veterinary Medicine, University of Camerino, 62032, Camerino, Italy
| | - Michael D Greicius
- Department of Neurology and Neurological Sciences - Greicius lab, Stanford University, 290 Jane Stanford Way, Stanford, CA, 94304, USA
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Dimitriadis SI, Lyssoudis C, Tsolaki AC, Lazarou E, Kozori M, Tsolaki M. Greek High Phenolic Early Harvest Extra Virgin Olive Oil Reduces the Over-Excitation of Information-Flow Based on Dominant Coupling Mode (DoCM) Model in Patients with Mild Cognitive Impairment: An EEG Resting-State Validation Approach. J Alzheimers Dis 2021; 83:191-207. [PMID: 34308906 DOI: 10.3233/jad-210454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Extra virgin olive oil (EVOO) constitutes a natural compound with high protection over cognitive function that could positively alter brain dynamics and the mixture of within and between-frequency connectivity. OBJECTIVE The balance of cross-frequency coupling over within-frequency coupling can build a nonlinearity index (NI) that encapsulates the over-excitation of information flow between brain areas and across experimental time. The present study investigated for the very first time how the Greek High Phenolic Early Harvest Extra Virgin Olive Oil (HP-EH-EVOO) versus Moderate Phenolic (MP-EVOO) and Mediterranean Diet (MeDi) intervention in people with mild cognitive impairment (MCI) could affect their spontaneous EEG dynamic connectivity. METHODS Forty-three subjects (14 in MeDi, 16 in MP-EVOO, and 13 in HP-EH-EVOO) followed an EEG resting-state recording session (eyes-open and closed) before and after the treatment. Following our dominant coupling mode model, we built a dynamic integrated dynamic functional connectivity graph that tabulates the functional strength and the dominant coupling mode model of every pair of brain areas. RESULTS Signal spectrum within 1-13 Hz and theta/beta ratio have decreased in the HP-EH-EVOO group in the eyes-open condition. The intervention improved the FIDoCM across groups and conditions but was more prominent in the HP-EH-EVOO group (p < 0.001). Finally, we revealed a significant higher post-intervention reduction of NI (ΔNITotal and α) for the HP-EH-EVOO compared to the MP-EVOO and MeDi groups (p < 0.0001). CONCLUSION Long-term intervention with HP-EH-EVOO reduced the over-excitation of information flow in spontaneous brain activity and altered the signal spectrum of EEG rhythms.
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Affiliation(s)
- Stavros I Dimitriadis
- 1st Department of Neurology, G.H. "AHEPA, " School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece.,Greek Association of Alzheimer's Disease and Related Disorders, Thessaloniki, Makedonia, Greece.,Integrative Neuroimaging Lab, Thessaloniki, Greece.,Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, College of Biomedical and Life Sciences, Cardiff University, Cardiff, Wales, United Kingdom.,Neuroinformatics Group, Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, College of Biomedical and Life Sciences, Cardiff, Wales, United Kingdom.,Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, College of Biomedical and Life Sciences, Cardiff University, Cardiff, Wales, United Kingdom.,School of Psychology, College of Biomedical and Life Sciences, Cardiff University, Cardiff, Wales, United Kingdom.,Neuroscience and Mental Health Research Institute, School of Medicine, College of Biomedical and Life Sciences, Cardiff University, Cardiff, Wales, United Kingdom.,MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, College of Biomedical and Life Sciences, Cardiff University, Cardiff, Wales, United Kingdom
| | - Christos Lyssoudis
- Greek Association of Alzheimer's Disease and Related Disorders, Thessaloniki, Makedonia, Greece
| | - Anthoula C Tsolaki
- 1st Department of Neurology, G.H. "AHEPA, " School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece
| | - Eftychia Lazarou
- Greek Association of Alzheimer's Disease and Related Disorders, Thessaloniki, Makedonia, Greece
| | - Mahi Kozori
- Greek Association of Alzheimer's Disease and Related Disorders, Thessaloniki, Makedonia, Greece
| | - Magda Tsolaki
- 1st Department of Neurology, G.H. "AHEPA, " School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece.,Greek Association of Alzheimer's Disease and Related Disorders, Thessaloniki, Makedonia, Greece
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Tsolaki AC, Konstantinidis G, Koukou S, Michali F, Georgiadou D, Tegos T, Michalis ND. Stroke associated with Mycoplasma hominis infection: a case report. J Med Case Rep 2021; 15:318. [PMID: 34130740 PMCID: PMC8207792 DOI: 10.1186/s13256-021-02903-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Accepted: 05/10/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Mycoplasmas are the smallest prokaryotic microorganisms in nature. Many cases of stroke post-Mycoplasma pneumoniae infection have been reported, particularly in the pediatric population. However, Mycoplasma hominis infection has not previously been associated with stroke. CASE PRESENTATION We report the case of a 36-year-old Greek woman who presented with an extensive stroke with an unspecified cause. She had a concurrent genital infection with Mycoplasma hominis for an unknown duration. CONCLUSION An association may exist between stroke and the immune response to Mycoplasma hominis infection.
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Affiliation(s)
- Anthoula C Tsolaki
- Neurology Department, 1st General Hospital of Thessaloniki "Agios Pavlos", Thessaloniki, Greece.
- 1st Neurology Department, Aristotle University of Thessaloniki, Thessaloniki, Greece.
| | - Galaktion Konstantinidis
- Neurology Department, 1st General Hospital of Thessaloniki "Agios Pavlos", Thessaloniki, Greece
- 3rd Neurology Department, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Stavroula Koukou
- Neurology Department, 1st General Hospital of Thessaloniki "Agios Pavlos", Thessaloniki, Greece
| | - Fotini Michali
- Neurology Department, 1st General Hospital of Thessaloniki "Agios Pavlos", Thessaloniki, Greece
| | - Despina Georgiadou
- Radiology Department, 1st General Hospital of Thessaloniki "Agios Pavlos", Thessaloniki, Greece
| | - Thomas Tegos
- 1st Neurology Department, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Nikolaos D Michalis
- Neurology Department, 1st General Hospital of Thessaloniki "Agios Pavlos", Thessaloniki, Greece
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Tsolaki AC, Tsolaki M, Pandria N, Lazarou E, Gkatzima O, Zilidou V, Karagianni M, Iakovidou-Kritsi Z, Kimiskidis VK, Bamidis PD. Web-Based Intervention Effects on Mild Cognitive Impairment Based on Apolipoprotein E Genotype: Quasi-Experimental Study. J Med Internet Res 2020; 22:e14617. [PMID: 32379048 PMCID: PMC7243129 DOI: 10.2196/14617] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Revised: 10/19/2019] [Accepted: 12/15/2019] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND Apolipoprotein E (APOE) ε4 allele is a major genetic risk factor for Alzheimer disease and mild cognitive impairment (MCI). Computer-based training programs can improve cognitive performance in elderly populations. However, the effects of computer-based interventions on MCI APOE ε4 carriers have never been studied before. OBJECTIVE The effects of different web-based interventions and the APOE isoform-specific differences in training outcomes are investigated. METHODS Using a quasi-experimental study design, 202 participants with MCI aged 60 years and older took part in three different intervention programs (physical and cognitive [Long-Lasting Memories, or LLM], cognitive [Active Control, or AC], or physical intervention [Physical Training Control, or PTC]) via an innovative information and communication technologies exergaming platform. Participants in each interventional group were subdivided into APOE ε4 carriers and non-APOE ε4 carriers. All participants underwent an extensive neuropsychological evaluation before and after the training, blood tests, and brain imaging. RESULTS All interventions resulted in multiple statistically significant cognitive benefits after the intervention. Verbal learning (California Verbal Learning Test: immediate recall test score-LLM: P=.04; AC: P<.001), working memory (digit span forward and backward test scores-AC: P=.03; PTC: P=.02 and P=.006, respectively), and long-term memory (California Verbal Learning Test: delayed recall test score-LLM: P=.02; AC: P=.002; and PTC: P=.02) were improved. There was no statistically significant difference among the intervention effects. APOE ε4 presence moderates intervention effects as the LLM intervention improved only their task-switching processing speed (Trail Making Test, Part B: P=.03) and the PTC intervention improved only the working memory (digit span backward: P=.03). No significant performance alteration was noted for the APOE ε4+ cognitive AC training group. CONCLUSIONS None of the applied interventions could be identified as the optimal one; it is suggested, however, that combined cognitive and physical training and physical training via exergaming may be more effective for the high-risk MCI ΑPOE ε4+ subgroup.
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Affiliation(s)
- Anthoula C Tsolaki
- Medical Physics Laboratory, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece.,Department of Neurology, Agios Pavlos General Hospital, Thessaloniki, Greece
| | - Magda Tsolaki
- 1st Department of Neurology, American Hellenic Educational Progressive Association Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Niki Pandria
- Medical Physics Laboratory, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Eftychia Lazarou
- 1st Department of Neurology, American Hellenic Educational Progressive Association Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Olymbia Gkatzima
- Panhellenic Institute of Neurodegenerative Diseases, Thessaloniki, Greece
| | - Vasiliki Zilidou
- Medical Physics Laboratory, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Maria Karagianni
- Medical Physics Laboratory, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Zafiroula Iakovidou-Kritsi
- Laboratory of Medical Biology-Genetics Department, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Vasilios K Kimiskidis
- Laboratory of Clinical Neurophysiology, American Hellenic Educational Progressive Association Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Panagiotis D Bamidis
- Medical Physics Laboratory, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
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Tsolaki AC, Gatzima O, Daniilidou M, Lazarou E, Bamidis PD, Verykouki E, Iakovidou-Kritsi Z, Tsolaki M. Prevalence of Apolipoprotein E Polymorphisms in Alzheimer's Disease, Mild Cognitive Impairment, and Healthy Elderly: A Northern Greece Study. NEURODEGENER DIS 2018; 18:216-224. [PMID: 30205398 DOI: 10.1159/000491764] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Accepted: 07/02/2018] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Apolipoprotein E ε4 allele (APOEε4) is a major genetic risk factor for Alzheimer's disease (AD). APOEε4 carriers have a higher risk of cognitive impairment and AD in a gene dose-dependent manner. The above notion is investigated in the Greek population. METHODS A sample of 1,703 subjects (967 AD patients, 576 mild cognitive impairment [MCI] and 160 Healthy Elderly), was genotyped for APOE from 2008 to 2017. DNA was extracted from peripheral blood using the QIAamp Blood DNA purification kit (Qiagen Inc., USA). Descriptive statistics, one-way analysis of variance with Bonferroni post hoc tests, Pearson chi-square test, and binary logistic regression models were used for the statistical analysis. RESULTS The APOE genotype and allele frequencies in AD group were significantly different from those in the Control and MCI groups. The frequencies of ε4/4 homozygotes were 1.9, 1.6, and 5.7%, while the ε4/- carriers' distribution was 22.5, 24.1, and 37.4% in the Control, MCI, and AD groups respectively. The estimated odds of ε4/4 for AD was 5.731-fold higher compared to the estimated odds of ε3/3. The interaction between gender and APOE did not have a significant effect on the odds for MCI (p = 0.942) and AD (p = 0.984). CONCLUSION In Greece, APOE ε4 presence is related to an increased risk for AD in a dose-related manner. Contrary to long-standing views, men and women with the APOE ε4 genotype have nearly the same odds of developing MCI and AD.
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Affiliation(s)
- Anthoula C Tsolaki
- Neurology Clinic, 1st General Hospital of Thessaloniki "Agios Pavlos", Thessaloniki, Greece.,Greek Association of Alzheimer's Disease and Related Disorders, Thessaloniki, Greece.,Medical Physics Laboratory, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Olympia Gatzima
- Greek Association of Alzheimer's Disease and Related Disorders, Thessaloniki, Greece
| | - Makrina Daniilidou
- Department of Neurosciences, Akademiska Hospital, Uppsala University, Uppsala, Sweden
| | - Eutuxia Lazarou
- First Department of Neurology, Aristotle University of Thessaloniki, Thessaloniki, Greece.,Greek Association of Alzheimer's Disease and Related Disorders, Thessaloniki, Greece
| | - Panagiotis D Bamidis
- Medical Physics Laboratory, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Eleni Verykouki
- Department of Hygiene, Social-Preventive Medicine and Medical Statistics, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Zafiroura Iakovidou-Kritsi
- Laboratory of Medical Biology-Genetics Department of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Magda Tsolaki
- First Department of Neurology, Aristotle University of Thessaloniki, Thessaloniki, Greece.,Greek Association of Alzheimer's Disease and Related Disorders, Thessaloniki, Greece
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Tsolaki AC, Kosmidou V, Kompatsiaris I(Y, Papadaniil C, Hadjileontiadis L, Adam A, Tsolaki M. Brain source localization of MMN and P300 ERPs in mild cognitive impairment and Alzheimer's disease: a high-density EEG approach. Neurobiol Aging 2017; 55:190-201. [DOI: 10.1016/j.neurobiolaging.2017.03.025] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2015] [Revised: 03/13/2017] [Accepted: 03/20/2017] [Indexed: 12/17/2022]
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Billis AS, Papageorgiou EI, Frantzidis CA, Tsatali MS, Tsolaki AC, Bamidis PD. A decision-support framework for promoting independent living and ageing well. IEEE J Biomed Health Inform 2014; 19:199-209. [PMID: 25073180 DOI: 10.1109/jbhi.2014.2336757] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Artificial intelligence and decision support systems offer a plethora of health monitoring capabilities in ambient assisted living environment. Continuous assessment of health indicators for elderly people living on their own is of utmost importance, so as to prolong their independence and quality of life. Slow varying, long-term deteriorating health trends are not easily identifiable in seniors. Thus, early sign detection of a specific condition, as well as, any likely transition from a healthy state to a pathological one are key problems that the herein proposed framework aims at resolving. Statistical process control concepts offer a personalized approach toward identification of trends that are away from the atypical behavior or state of the seniors, while fuzzy cognitive maps knowledge representation and inference schema have proved to be efficient in terms of disease classification. Geriatric depression is used as a case study throughout the paper, so to prove the validity of the framework, which is planned to be pilot tested with a series of lone-living seniors in their own homes.
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Affiliation(s)
- Antonis S Billis
- Lab of Medical Physics, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Elpiniki I Papageorgiou
- Technological Educational Institute of Central Greece, Computer Engineering Department, Lamia, TK, Greece
| | - Christos A Frantzidis
- Lab of Medical Physics, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Marianna S Tsatali
- Greek Association of Alzheimer's Disease and Related Disorders, Thessaloniki, Greece
| | - Anthoula C Tsolaki
- Greek Association of Alzheimer's Disease and Related Disorders, Thessaloniki, Greece
| | - Panagiotis D Bamidis
- Lab of Medical Physics, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
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