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Iram F, Shahid M, Ansari J, Ashraf GM, Hassan MI, Islam A. Navigating the Maze of Alzheimer's disease by exploring BACE1: Discovery, current scenario, and future prospects. Ageing Res Rev 2024; 98:102342. [PMID: 38762102 DOI: 10.1016/j.arr.2024.102342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 05/04/2024] [Accepted: 05/13/2024] [Indexed: 05/20/2024]
Abstract
Alzheimer's disease (AD) is a chronic neurological condition that has become a leading cause of cognitive decline in elder individuals. Hardly any effective medication has been developed to halt the progression of AD due to the disease's complexity. Several theories have been put forward to clarify the mechanisms underlying AD etiology. The identification of amyloid plaques as a hallmark of AD has sparked the development of numerous drugs targeting the players involved in the amyloidogenic pathway, such as the β-site of amyloid precursor protein cleavage enzyme 1 (BACE1) blockers. Over the last ten years, preclinical and early experimental research has led several pharmaceutical companies to prioritize producing BACE1 inhibitors. Despite all these efforts, earlier discovered inhibitors were discontinued in consideration of another second-generation small molecules and recent BACE1 antagonists failed in the final stages of clinical trials because of the complications associated either with toxicity or effectiveness. In addition to discussing the difficulties associated with development of BACE1 inhibitors, this review aims to provide an overview of BACE1 and offer perspectives on the causes behind the failure of five recent BACE1 inhibitors, that would be beneficial for choosing effective treatment approaches in the future.
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Affiliation(s)
- Faiza Iram
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi 110025, India
| | - Mohammad Shahid
- Department of Basic Medical Sciences, College of Medicine, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia
| | - Jaoud Ansari
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi 110025, India
| | - Ghulam Md Ashraf
- University of Sharjah, College of Health Sciences, and Research Institute for Medical and Health Sciences, Department of Medical Laboratory Sciences, Sharjah 27272, United Arab Emirates
| | - Md Imtaiyaz Hassan
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi 110025, India
| | - Asimul Islam
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi 110025, India.
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Wójcik P, Jastrzębski MK, Zięba A, Matosiuk D, Kaczor AA. Caspases in Alzheimer's Disease: Mechanism of Activation, Role, and Potential Treatment. Mol Neurobiol 2023:10.1007/s12035-023-03847-1. [PMID: 38135855 DOI: 10.1007/s12035-023-03847-1] [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: 09/22/2023] [Accepted: 11/29/2023] [Indexed: 12/24/2023]
Abstract
With the aging of the population, treatment of conditions emerging in old age, such as neurodegenerative disorders, has become a major medical challenge. Of these, Alzheimer's disease, leading to cognitive dysfunction, is of particular interest. Neuronal loss plays an important role in the pathophysiology of this condition, and over the years, a great effort has been made to determine the role of various factors in this process. Unfortunately, until now, the exact pathomechanism of this condition remains unknown. However, the most popular theories associate AD with abnormalities in the Tau and β-amyloid (Aβ) proteins, which lead to their deposition and result in neuronal death. Neurons, like all cells, die in a variety of ways, among which pyroptosis, apoptosis, and necroptosis are associated with the activation of various caspases. It is worth mentioning that Tau and Aβ proteins are considered to be one of the caspase activators, leading to cell death. Moreover, the protease activity of caspases influences both of the previously mentioned proteins, Tau and Aβ, converting them into more toxic derivatives. Due to the variety of ways caspases impact the development of AD, drugs targeting caspases could potentially be useful in the treatment of this condition. Therefore, there is a constant need to search for novel caspase inhibitors and evaluate them in preclinical and clinical trials.
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Affiliation(s)
- Piotr Wójcik
- Department of Synthesis and Chemical Technology of Pharmaceutical Substances with Computer Modeling Laboratory, Faculty of Pharmacy, Medical University of Lublin, 4A Chodzki St., 20093, Lublin, Poland.
| | - Michał K Jastrzębski
- Department of Synthesis and Chemical Technology of Pharmaceutical Substances with Computer Modeling Laboratory, Faculty of Pharmacy, Medical University of Lublin, 4A Chodzki St., 20093, Lublin, Poland
| | - Agata Zięba
- Department of Synthesis and Chemical Technology of Pharmaceutical Substances with Computer Modeling Laboratory, Faculty of Pharmacy, Medical University of Lublin, 4A Chodzki St., 20093, Lublin, Poland
| | - Dariusz Matosiuk
- Department of Synthesis and Chemical Technology of Pharmaceutical Substances with Computer Modeling Laboratory, Faculty of Pharmacy, Medical University of Lublin, 4A Chodzki St., 20093, Lublin, Poland
| | - Agnieszka A Kaczor
- Department of Synthesis and Chemical Technology of Pharmaceutical Substances with Computer Modeling Laboratory, Faculty of Pharmacy, Medical University of Lublin, 4A Chodzki St., 20093, Lublin, Poland.
- School of Pharmacy, University of Eastern Finland, Yliopistonranta 1, P.O. Box 1627, 70211, Kuopio, Finland.
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Harper L, de Boer S, Lindberg O, Lätt J, Cullen N, Clark L, Irwin D, Massimo L, Grossman M, Hansson O, Pijnenburg Y, McMillan CT, Santillo AF. Anterior cingulate sulcation is associated with onset and survival in frontotemporal dementia. Brain Commun 2023; 5:fcad264. [PMID: 37869576 PMCID: PMC10586312 DOI: 10.1093/braincomms/fcad264] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 09/05/2023] [Accepted: 10/07/2023] [Indexed: 10/24/2023] Open
Abstract
Frontotemporal dementia is the second most common form of early onset dementia (<65 years). Despite this, there are few known disease-modifying factors. The anterior cingulate is a focal point of pathology in behavioural variant frontotemporal dementia. Sulcation of the anterior cingulate is denoted by the presence of a paracingulate sulcus, a tertiary sulcus developing, where present during the third gestational trimester and remaining stable throughout life. This study aims to examine the impact of right paracingulate sulcal presence on the expression and prognosis of behavioural variant frontotemporal dementia. This retrospective analysis drew its population from two clinical samples recruited from memory clinics at university hospitals in the USA and The Netherlands. Individuals with sporadic behavioural variant frontotemporal dementia were enrolled between 2000 and 2022 and followed up for an average of 7.71 years. T1-MRI data were evaluated for hemispheric paracingulate sulcal presence in accordance with an established protocol by two blinded raters. Outcome measures included age at onset, survival, cortical thickness and Frontotemporal Lobar Degeneration-modified Clinical Dementia Rating determined clinical disease progression. The study population consisted of 186 individuals with sporadic behavioural variant frontotemporal dementia (113 males and 73 females), mean age 63.28 years (SD 8.32). The mean age at onset was 2.44 years later in individuals possessing a right paracingulate sulcus [60.2 years (8.54)] versus individuals who did not [57.76 (8.05)], 95% confidence interval > 0.41, P = 0.02. Education was not associated with age at onset (β = -0.05, P = 0.75). The presence of a right paracingulate sulcus was associated with an 83% increased risk of death per year after age at onset (hazard ratio 1.83, confidence interval [1.09-3.07], P < 0.02), whilst the mean age at death was similar for individuals with a present and absent right paracingulate sulcus (P = 0.7). Right paracingulate sulcal presence was not associated with baseline cortical thickness. Right paracingulate sulcal presence is associated with disease expression and survival in sporadic behavioural variant frontotemporal dementia. Findings provide evidence of neurodevelopmental brain reserve in behavioural variant frontotemporal dementia that may be important in the design of trials for future therapeutic approaches.
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Affiliation(s)
- Luke Harper
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Malmö 20502, Sweden
| | - Sterre de Boer
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam 1081 HZ, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam 1105 BA, The Netherlands
| | - Olof Lindberg
- Division of Clinical Geriatrics, Karolinska Institute, Stockholm 17165, Sweden
| | - Jimmy Lätt
- Centre for Medical Imaging and Physiology, Skane University Hospital, Lund 22242, Sweden
| | - Nicholas Cullen
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Malmö 20502, Sweden
| | - Lyles Clark
- Penn Frontotemporal Degeneration Center (FTDC), University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - David Irwin
- Penn Frontotemporal Degeneration Center (FTDC), University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Lauren Massimo
- Penn Frontotemporal Degeneration Center (FTDC), University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Murray Grossman
- Penn Frontotemporal Degeneration Center (FTDC), University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Malmö 20502, Sweden
- Memory Clinic, Skåne University Hospital, Malmö 22100, Sweden
| | - Yolande Pijnenburg
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam 1081 HZ, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam 1105 BA, The Netherlands
| | - Corey T McMillan
- Penn Frontotemporal Degeneration Center (FTDC), University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Alexander F Santillo
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Malmö 20502, Sweden
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Harper L, de Boer S, Lindberg O, Lätt J, Cullen N, Clark L, Irwin D, Massimo L, Grossman M, Hansson O, Pijnenburg Y, McMillan CT, Santillo AF. Anterior cingulate sulcation is associated with onset and survival in frontotemporal dementia. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.03.30.23287945. [PMID: 37034647 PMCID: PMC10081407 DOI: 10.1101/2023.03.30.23287945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Background Frontotemporal dementia is the second most common form of early onset dementia (< 65 years). Despite this there are few known disease modifying factors. The anterior cingulate is a focal point of pathology in behavioural variant frontotemporal dementia. Sulcation of the anterior cingulate is denoted by the presence of a paracingulate sulcus, a tertiary sulcus developing, where present during the third gestational trimester and remaining stable throughout life. This study aims to examine the impact of right paracingulate sulcal presence on the expression and prognosis of behavioural variant Frontotemporal Dementia. Methods This retrospective analysis drew it's population from two clinical samples recruited from memory clinics at University Hospitals in The United States of America and The Netherlands. Individuals with sporadic behavioural variant Frontotemporal Dementia were enrolled between 2004 and 2022 and followed up for an average of 7.71 years. T1-MRI data were evaluated for hemispheric paracingulate sulcal presence in accordance with an established protocol by two blinded raters. Outcome measures included age at onset, survival, cortical thickness, and Frontotemporal Lobar Degeneration-modified Clinical Dementia Rating determined clinical disease progression. Results The study population consisted of 186 individuals with sporadic behavioural variant Frontotemporal Dementia, (113 males and 73 females) mean age 63.28 years (SD 8.32). The mean age at onset was 2.44 years later in individuals possessing a right paracingulate sulcus (60.2 years (SD 8.54)) versus individuals who did not (57.76 (8.05)), 95% CI >0.41, P = 0.02. Education was not associated with age at onset (β = -0.05, P =0.75). Presence of a right paracingulate sulcus was associated with a 119% increased risk of death per year after age at onset (HR 2.19, CI [1.21 - 3.96], P <0.01), whilst the mean age at death was similar for individuals with a present and absent right paracingulate sulcus ( P = 0.7). Right paracingulate sulcal presence was not associated with baseline cortical thickness. Conclusion Right paracingulate sulcal presence is associated with disease expression and survival in sporadic behavioural variant Frontotemporal Dementia. Findings provide evidence of neurodevelopmental brain reserve in behavioural variant Frontotemporal Dementia which may be important in the design of trials for future therapeutic approaches.
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Hoenig MC, Drzezga A. Clear-headed into old age: Resilience and resistance against brain aging-A PET imaging perspective. J Neurochem 2023; 164:325-345. [PMID: 35226362 DOI: 10.1111/jnc.15598] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 02/18/2022] [Accepted: 02/22/2022] [Indexed: 11/28/2022]
Abstract
With the advances in modern medicine and the adaptation towards healthier lifestyles, the average life expectancy has doubled since the 1930s, with individuals born in the millennium years now carrying an estimated life expectancy of around 100 years. And even though many individuals around the globe manage to age successfully, the prevalence of aging-associated neurodegenerative diseases such as sporadic Alzheimer's disease has never been as high as nowadays. The prevalence of Alzheimer's disease is anticipated to triple by 2050, increasing the societal and economic burden tremendously. Despite all efforts, there is still no available treatment defeating the accelerated aging process as seen in this disease. Yet, given the advances in neuroimaging techniques that are discussed in the current Review article, such as in positron emission tomography (PET) or magnetic resonance imaging (MRI), pivotal insights into the heterogenous effects of aging-associated processes and the contribution of distinct lifestyle and risk factors already have and are still being gathered. In particular, the concepts of resilience (i.e. coping with brain pathology) and resistance (i.e. avoiding brain pathology) have more recently been discussed as they relate to mechanisms that are associated with the prolongation and/or even stop of the progressive brain aging process. Better understanding of the underlying mechanisms of resilience and resistance may one day, hopefully, support the identification of defeating mechanism against accelerating aging.
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Affiliation(s)
- Merle C Hoenig
- Research Center Juelich, Institute for Neuroscience and Medicine II, Molecular Organization of the Brain, Juelich, Germany.,Department of Nuclear Medicine, Faculty of Medicine, University Hospital Cologne, Cologne, Germany
| | - Alexander Drzezga
- Research Center Juelich, Institute for Neuroscience and Medicine II, Molecular Organization of the Brain, Juelich, Germany.,Department of Nuclear Medicine, Faculty of Medicine, University Hospital Cologne, Cologne, Germany.,German Center for Neurodegenerative Diseases, Bonn/Cologne, Germany
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Ersoezlue E, Rauchmann BS, Schneider-Axmann T, Wagner M, Ballarini T, Tato M, Utecht J, Kurz C, Papazov B, Guersel S, Burow L, Koller G, Stöcklein S, Keeser D, Bartels C, Brosseron F, Buerger K, Cetindag AC, Dechent P, Dobisch L, Ewers M, Fliessbach K, Frommann I, Haynes JD, Heneka MT, Janowitz D, Kilimann I, Kleinedam L, Laske C, Maier F, Metzger CD, Munk MH, Peters O, Preis L, Priller J, Ramirez A, Roeske S, Roy N, Scheffler K, Schneider A, Spottke A, Spruth EJ, Teipel S, Wiltfang J, Wolfsgruber S, Yakupov R, Duezel E, Jessen F, Perneczky R. Lifelong experiences as a proxy of cognitive reserve moderate the association between connectivity and cognition in Alzheimer's disease. Neurobiol Aging 2023; 122:33-44. [PMID: 36476760 DOI: 10.1016/j.neurobiolaging.2022.05.015] [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: 10/10/2021] [Revised: 04/08/2022] [Accepted: 05/30/2022] [Indexed: 11/05/2022]
Abstract
Alzheimer's disease (AD) is associated with alterations in functional connectivity (FC) of the brain. The FC underpinnings of CR, that is, lifelong experiences, are largely unknown. Resting-state FC and structural MRI were performed in 76 CSF amyloid-β (Aβ) negative healthy controls and 152 Aβ positive individuals as an AD spectrum cohort (ADS; 55 with subjective cognitive decline, SCD; 52 with mild cognitive impairment; 45 with AD dementia). Following a region-of-interest (ROI) FC analysis, intrinsic network connectivity within the default-mode network (INC-DMN) and anti-correlation in INC between the DMN and dorsal attention network (DMN:DAN) were obtained as composite scores. CR was estimated by education and Lifetime Experiences Questionnaire (LEQ). The association between INC-DMN and MEM was attenuated by higher LEQ scores in the entire ADS group, particularly in SCD. In ROI analyses, higher LEQ scores were associated with higher FC within the DMN in ADS group. INC-DMN remains relatively intact despite memory decline in individuals with higher lifetime activity estimates, supporting a role for functional networks in maintaining cognitive function in AD.
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Affiliation(s)
- Ersin Ersoezlue
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Boris-Stephan Rauchmann
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany; German Center for Neurodegenerative Diseases (DZNE), Munich, Germany; Sheffield Institute for Translational Neurology (SITraN), University of Sheffield, Sheffield, UK
| | - Thomas Schneider-Axmann
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Michael Wagner
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Germany
| | - Tommaso Ballarini
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Germany
| | - Maia Tato
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Julia Utecht
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Carolin Kurz
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Boris Papazov
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Selim Guersel
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Lena Burow
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Gabriele Koller
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Sophia Stöcklein
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Daniel Keeser
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Claudia Bartels
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Goettingen, Germany
| | - Frederic Brosseron
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Germany
| | - Katharina Buerger
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany; Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Arda C Cetindag
- Charité - Universitätsmedizin Berlin, Department of Psychiatry and Psychotherapy, Campus Benjamin Franklin, Berlin, Germany
| | - Peter Dechent
- MR-Research in Neurology and Psychiatry, Georg-August-University Göttingen, Germany
| | - Laura Dobisch
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Michael Ewers
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Klaus Fliessbach
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Germany
| | - Ingo Frommann
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Germany
| | - John D Haynes
- Bernstein Center for Computational Neuroscience, Charité - Universitätsmedizin, Berlin, Germany
| | - Michael T Heneka
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Germany
| | - Daniel Janowitz
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Ingo Kilimann
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany; Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
| | - Luca Kleinedam
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Christoph Laske
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany; Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Franziska Maier
- Department of Psychiatry, University of Cologne, Medical Faculty, Cologne, Germany
| | - Coraline D Metzger
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany; Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany; Department of Psychiatry and Psychotherapy, Otto-von-Guericke University, Magdeburg, Germany
| | - Matthias H Munk
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany; Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Oliver Peters
- Charité - Universitätsmedizin Berlin, Department of Psychiatry and Psychotherapy, Campus Benjamin Franklin, Berlin, Germany; German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
| | - Lukas Preis
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
| | - Josef Priller
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany; Department of Psychiatry and Psychotherapy, Charité, Berlin, Germany; Department of Psychiatry and Psychotherapy, Technical University Munich, Munich, Germany
| | - Alfredo Ramirez
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Germany; Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry, University of Cologne, Medical Faculty, Cologne, Germany
| | - Sandra Roeske
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Nina Roy
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Klaus Scheffler
- Department for Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany
| | - Anja Schneider
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Germany
| | - Annika Spottke
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Department of Neurology, University of Bonn, Bonn, Germany
| | - Eike J Spruth
- Department of Psychiatry and Psychotherapy, Charité, Berlin, Germany
| | - Stefan Teipel
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany; Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Goettingen, Germany; Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany; Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
| | - Steffen Wolfsgruber
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Germany
| | - Renat Yakupov
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Emrah Duezel
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany; Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany
| | - Frank Jessen
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Department of Psychiatry, University of Cologne, Medical Faculty, Cologne, Germany; Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Köln, Germany
| | - Robert Perneczky
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany; German Center for Neurodegenerative Diseases (DZNE), Munich, Germany; Munich Cluster for Systems Neurology (SyNergy) Munich, Munich, Germany; Ageing Epidemiology Research Unit (AGE), School of Public Health, Imperial College London, London, UK; Sheffield Institute for Translational Neurology (SITraN), University of Sheffield, Sheffield, UK.
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de Rooij SR. Are Brain and Cognitive Reserve Shaped by Early Life Circumstances? Front Neurosci 2022; 16:825811. [PMID: 35784851 PMCID: PMC9243389 DOI: 10.3389/fnins.2022.825811] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 05/13/2022] [Indexed: 01/22/2023] Open
Abstract
When growing older, many people are faced with cognitive deterioration, which may even amount to a form of dementia at some point in time. Although neuropathological signs of dementia disorders can often be demonstrated in brains of patients, the degree to which clinical symptoms are present does mostly not accurately reflect the amount of neuropathology that is present. Sometimes existent pathology even goes without any obvious clinical presentation. An explanation for this phenomenon may be found in the concept of reserve capacity. Reserve capacity refers to the ability of the brain to effectively buffer changes that are associated with normal aging processes and to cope with pathological damage. A larger reserve capacity has been suggested to increase resilience against age-associated cognitive deterioration and dementia disorders. Traditionally, a division has been made between brain reserve, which is based on morphological characteristics of the brain, and cognitive reserve, which is based on functional characteristics of the brain. The present review discusses the premises that brain and cognitive reserve capacity are shaped by prenatal and early postnatal factors. Evidence is accumulating that circumstances during the first 1,000 days of life are of the utmost importance for the lifelong health of an individual. Cognitive deterioration and dementia disorders may also have their origin in early life and a potentially important pathway by which the early environment affects the risk for neurodegenerative diseases is by developmental programming of the reserve capacity of the brain. The basic idea behind developmental programming of brain and cognitive reserve is explained and an overview of studies that support this idea is presented. The review is concluded by a discussion of potential mechanisms, synthesis of the evidence and relevance and future directions in the field of developmental origins of reserve capacity.
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Affiliation(s)
- Susanne R. de Rooij
- Epidemiology and Data Science, University of Amsterdam, Amsterdam, Netherlands
- Aging and Later Life, Health Behaviors and Chronic Diseases, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
- Amsterdam Reproduction and Development, Amsterdam, Netherlands
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Vogelezang S, Bradfield JP, Grant SFA, Felix JF, Jaddoe VWV. Genetics of early-life head circumference and genetic correlations with neurological, psychiatric and cognitive outcomes. BMC Med Genomics 2022; 15:124. [PMID: 35659227 PMCID: PMC9166310 DOI: 10.1186/s12920-022-01281-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 05/30/2022] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Head circumference is associated with intelligence and tracks from childhood into adulthood. METHODS We performed a genome-wide association study meta-analysis and follow-up of head circumference in a total of 29,192 participants between 6 and 30 months of age. RESULTS Seven loci reached genome-wide significance in the combined discovery and replication analysis of which three loci near ARFGEF2, MYCL1, and TOP1, were novel. We observed positive genetic correlations for early-life head circumference with adult intracranial volume, years of schooling, childhood and adult intelligence, but not with adult psychiatric, neurological, or personality-related phenotypes. CONCLUSIONS The results of this study indicate that the biological processes underlying early-life head circumference overlap largely with those of adult head circumference. The associations of early-life head circumference with cognitive outcomes across the life course are partly explained by genetics.
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Affiliation(s)
- Suzanne Vogelezang
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Jonathan P Bradfield
- Division of Human Genetics, Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Quantinuum Research LLC, San Diego, CA, USA
| | - Struan F A Grant
- Division of Human Genetics, Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Division of Endocrinology and Diabetes, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Human Genetics, Center for Spatial and Functional Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Vincent W V Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
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9
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Sex-related associations between body height and cognitive impairment among low-income elderly adults in rural China: a population-based cross-sectional study. Biol Sex Differ 2021; 12:65. [PMID: 34872609 PMCID: PMC8647306 DOI: 10.1186/s13293-021-00408-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 11/10/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Body height is a marker of childhood health and cumulative net nutrition during growth periods. However, sex-specific associations between body height and cognitive impairment are not well known in northern rural China. METHODS We assessed sex differences in the association between body height and cognitive impairment in a low-income elderly population in rural China. A population-based cross-sectional study was conducted from April 2014 to August 2014 to collect basic information from elderly residents aged 60 years and older in rural areas of Tianjin, China. Body height and Mini Mental State Examination (MMSE) scores were measured, and the relationships between these variables were assessed. RESULTS A total of 1081 residents with a mean age of 67.7 years were enrolled in this study. After adjusting for age, educational attainment, smoking status, drinking status, and the presence of hypertension, diabetes, and hypercholesterolemia, higher body height was found to be associated with a decreased prevalence of cognitive impairment in elderly men. Each 1-dm increase in height was associated with a 37% decrease in the prevalence of cognitive impairment. However, there was no significant association between body height and cognitive impairment among elderly women. CONCLUSION In conclusion, shorter body height was related to cognitive impairment independently of age, educational attainment, lifestyle factors, and health-related comorbid factors among low-income elderly men in rural China. Accordingly, shorter elderly men may be targeted for effective dementia prevention in rural China.
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10
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Vidyadhara DJ, Yarreiphang H, Raju TR, Alladi PA. Differences in Neuronal Numbers, Morphology, and Developmental Apoptosis in Mice Nigra Provide Experimental Evidence of Ontogenic Origin of Vulnerability to Parkinson's Disease. Neurotox Res 2021; 39:1892-1907. [PMID: 34762290 DOI: 10.1007/s12640-021-00439-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 10/26/2021] [Accepted: 10/29/2021] [Indexed: 10/19/2022]
Abstract
Parkinson disease (PD) prevalence varies by ethnicity. In an earlier study, we replicated the reduced vulnerability to PD in an admixed population, using 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-susceptible C57BL/6 J, MPTP-resistant CD-1 and their F1 crossbreds. In the present study, we investigated if the differences have a developmental origin. Substantia nigra was evaluated at postnatal days 2 (P2), P6, P10, P14, P18, and P22. C57BL/6 J mice had smaller nigra and fewer dopaminergic neurons than the CD-1 and crossbreds at P2, which persisted through development. A significant increase in numbers and nigral volume was observed across strains until P14. A drastic decline thereafter was specific to C57BL/6 J. CD-1 and crossbreds retained their numbers from P14 to stabilize with supernumerary neurons at adulthood. The neuronal size increased gradually to attain adult morphology at P10 in the resistant strains, vis-à-vis at P22 in C57BL/6 J. Accordingly, in comparison to C57BL/6 J, the nigra of CD-1 and reciprocal crossbreds possessed cytomorphological features of resilience, since birth. The considerably lesser dopaminergic neuronal loss in the CD-1 and crossbreds was seen at P2 and P14 and thereafter was complemented by attenuated developmental cell death. The differences in programmed cell death were confirmed by reduced TUNEL labelling, AIF, and caspase-3 expression. GDNF expression aligned with the cell death pattern at P2 and P14 in both nigra and striatum. Earlier maturity of nigra and its neurons appears to be better features that reflect as MPTP resistance at adulthood. Thus, variable MPTP vulnerability in mice and also differential susceptibility to PD in humans may arise early during nigral development.
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Affiliation(s)
- D J Vidyadhara
- Department of Neurophysiology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, 560029, India
- Departments of Neurology and Neuroscience, Yale University School of Medicine, New Haven, CT, USA
| | - Haorei Yarreiphang
- Department of Neurophysiology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, 560029, India
| | - Trichur R Raju
- Department of Neurophysiology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, 560029, India
| | - Phalguni Anand Alladi
- Department of Clinical Psychopharmacology and Neurotoxicology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, 560029, India.
- Formerly at Department of Neurophysiology, National Institute of Mental Health and Neuro-Sciences, Hosur Road, Bangalore, India.
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11
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Lamballais S, Zijlmans JL, Vernooij MW, Ikram MK, Luik AI, Ikram MA. The Risk of Dementia in Relation to Cognitive and Brain Reserve. J Alzheimers Dis 2021; 77:607-618. [PMID: 32741820 PMCID: PMC7592692 DOI: 10.3233/jad-200264] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Background: Individual differences in the risk to develop dementia remain poorly understood. These differences may partly be explained through reserve, which is the ability to buffer cognitive decline due to neuropathology and age. Objective: To determine how much early and late–life cognitive reserve (CR) and brain reserve (BR) contribute to the risk of dementia. Methods: 4,112 dementia-free participants (mean age = 66.3 years) from the Rotterdam Study were followed up for on average 6.0 years. Early-life CR and BR were defined as attained education and intracranial volume, respectively. Late-life CR was derived through variance decomposition based on cognition. Late-life BR was set as the total non-lesioned brain volume divided by intracranial volume. Results: Higher early-life CR (hazard ratio = 0.48, 95% CI = [0.21; 1.06]) but not early-life BR associated with a lower risk of incident dementia. Higher late-life CR (hazard ratio = 0.57, 95% CI = [0.48; 0.68]) and late-life BR (hazard ratio = 0.54, 95% CI = [0.43; 0.68]) also showed lower levels of dementia. Combining all proxies into one model attenuated the association between early-life CR and dementia (hazard ratio = 0.56, 95% CI = [0.25; 1.25]) whereas the other associations were unaffected. These findings were stable upon stratification for sex, age, and APOEɛ4. Finally, high levels of late-life CR and BR provided additive protection against dementia. Conclusion: The findings illustrate the importance of late-life over early-life reserve in understanding the risk of dementia, and show the need to study CR and BR conjointly.
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Affiliation(s)
- Sander Lamballais
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, the Netherlands
| | - Jendé L Zijlmans
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, the Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, the Netherlands
| | - Meike W Vernooij
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, the Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, the Netherlands
| | - M Kamran Ikram
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, the Netherlands.,Department of Neurology, Erasmus MC University Medical Center Rotterdam, the Netherlands
| | - Annemarie I Luik
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, the Netherlands.,Department of Child and Adolescent Psychiatry and Psychology, Erasmus MC University Medical Center Rotterdam, the Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, the Netherlands
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12
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Yang K, Chen G, Sheng C, Xie Y, Li Y, Hu X, Sun Y, Han Y. Cognitive Reserve, Brain Reserve, APOEɛ4, and Cognition in Individuals with Subjective Cognitive Decline in the SILCODE Study. J Alzheimers Dis 2021; 76:249-260. [PMID: 32444543 DOI: 10.3233/jad-200082] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND Cognitive reserve (CR) and brain reserve (BR) could offer protective effects on cognition in the early stage of Alzheimer's disease (AD). However, the effects of CR or BR on cognition in individuals with subjective cognitive decline (SCD) are not clear. OBJECTIVE To explore the effects of CR and BR on cognition in subjects with SCD. METHODS We included 149 subjects from the Sino Longitudinal Study on Cognitive Decline (SILCODE) study. Education was used as a proxy for CR, and head circumference was used as a proxy for BR. Multiple linear regression models were conducted to examine the effects of CR and BR on cognitive scores. Furthermore, we assessed differences in effects between APOEɛ4 carriers with SCD (n = 35) and APOEɛ4 non-carriers with SCD (n = 114) and linear trends among 4 reserve levels (low BR/CR, high BR/low CR, low BR/high CR, and high BR/high CR). RESULTS Both CR and BR had independent positive effects on multiple cognitive measures in SCD participants, and the effects of CR were greater than those of BR. CR has positive effects on cognitive measures in both APOEɛ4 carriers and non-carriers with SCD. However, the positive effects of BR on cognitive measures were observed in APOEɛ4 non-carriers with SCD but not in APOEɛ4 carriers with SCD. Furthermore, there was a linear trend toward better cognitive performance on all cognitive measures in the BR+/CR+ group, followed by the BR-/CR+, BR+/CR-, and BR-/CR-groups. CONCLUSION This study suggests that both CR and BR have the potential to delay or slow cognitive decline in individuals with SCD.
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Affiliation(s)
- Kun Yang
- Department of Evidence-based Medicine, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Guanqun Chen
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.,National Clinical Research Center for Geriatric Disorders, Beijing, China
| | - Can Sheng
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Yunyan Xie
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Yuxia Li
- Central Laboratory, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Xiaochen Hu
- Department of Psychiatry and Psychotherapy, University of Cologne, Medical Faculty, Cologne, Germany
| | - Yu Sun
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China.,National Clinical Research Center for Geriatric Disorders, Beijing, China
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13
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Occupation-related effects on motor cortex thickness among older, cognitive healthy individuals. Brain Struct Funct 2021; 226:1023-1030. [PMID: 33555422 PMCID: PMC8036179 DOI: 10.1007/s00429-021-02223-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 01/19/2021] [Indexed: 02/07/2023]
Abstract
Both, decline of sensorimotor functions and cortical thickness are known processes in healthy aging. Physical activity has been suggested to enhance the execution of daily routine activities and to extend the time of functional independence in advanced age. We hypothesized that cortical thickness of motor areas in retired individuals could be related to physical demands of the profession carried out during working life. Depending on their former occupations, 69 cognitively healthy individuals (range 70–85 years) were divided into higher and lower physically complex occupations (HPCO n = 27 and LPCO n = 42) according to the international standard classification of occupations (ISCO-08). Participants underwent a high-resolution 3T T1-weighted MRI scan. Surface-based analysis revealed higher cortical thickness in the left precentral (P = 0.001) and postcentral gyrus (P < 0.001) and right postcentral gyrus (P = 0.001) for the HPCO relative to the LPCO group (corrected for multiple comparisons, sex, age and leisure activities in the past 20 years). Physical leisure activities associated with exertion were positively correlated with cortical thickness in the left pre- and postcentral gyrus (P = 0.037) of the LPCO group. Time since retirement was negatively associated with cortical thickness in the left postcentral gyrus (P = 0.004) of the HPCO group. Executing a higher physically complex occupation before retirement was related to relative higher cortical thickness in the primary motor and somatosensory cortex in later life, supporting the hypothesis that physical activity contributes to neural reserve in these regions. However, these benefits appear to vanish when physical activity is reduced due to retirement.
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14
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Fiford CM, Sudre CH, Pemberton H, Walsh P, Manning E, Malone IB, Nicholas J, Bouvy WH, Carmichael OT, Biessels GJ, Cardoso MJ, Barnes J. Automated White Matter Hyperintensity Segmentation Using Bayesian Model Selection: Assessment and Correlations with Cognitive Change. Neuroinformatics 2020; 18:429-449. [PMID: 32062817 PMCID: PMC7338814 DOI: 10.1007/s12021-019-09439-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Accurate, automated white matter hyperintensity (WMH) segmentations are needed for large-scale studies to understand contributions of WMH to neurological diseases. We evaluated Bayesian Model Selection (BaMoS), a hierarchical fully-unsupervised model selection framework for WMH segmentation. We compared BaMoS segmentations to semi-automated segmentations, and assessed whether they predicted longitudinal cognitive change in control, early Mild Cognitive Impairment (EMCI), late Mild Cognitive Impairment (LMCI), subjective/significant memory concern (SMC) and Alzheimer's (AD) participants. Data were downloaded from the Alzheimer's disease Neuroimaging Initiative (ADNI). Magnetic resonance images from 30 control and 30 AD participants were selected to incorporate multiple scanners, and were semi-automatically segmented by 4 raters and BaMoS. Segmentations were assessed using volume correlation, Dice score, and other spatial metrics. Linear mixed-effect models were fitted to 180 control, 107 SMC, 320 EMCI, 171 LMCI and 151 AD participants separately in each group, with the outcomes being cognitive change (e.g. mini-mental state examination; MMSE), and BaMoS WMH, age, sex, race and education used as predictors. There was a high level of agreement between BaMoS' WMH segmentation volumes and a consensus of rater segmentations, with a median Dice score of 0.74 and correlation coefficient of 0.96. BaMoS WMH predicted cognitive change in: control, EMCI, and SMC groups using MMSE; LMCI using clinical dementia rating scale; and EMCI using Alzheimer's disease assessment scale-cognitive subscale (p < 0.05, all tests). BaMoS compares well to semi-automated segmentation, is robust to different WMH loads and scanners, and can generate volumes which predict decline. BaMoS can be applicable to further large-scale studies.
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Affiliation(s)
- Cassidy M. Fiford
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Carole H. Sudre
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
- Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Hugh Pemberton
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Phoebe Walsh
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Emily Manning
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Ian B. Malone
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | | | - Willem H Bouvy
- Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | | | - Geert Jan Biessels
- Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - M. Jorge Cardoso
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
- Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Josephine Barnes
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - for the Alzheimer’s Disease Neuroimaging Initiative
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
- Department of Medical Physics and Biomedical Engineering, University College London, London, UK
- London School of Hygiene and Tropical Medicine, London, UK
- Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
- Pennington Biomedical Research Center, Baton Rouge, LA USA
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15
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Chen G, Liu C, Yang K, Li Y, Sheng C, Xie Y, Hu X, Jiang J, Han Y. Beneficial Effects of Brain Reserve on Cognition in Individuals with Subjective Cognitive Decline from the SILCODE Study. J Alzheimers Dis 2020; 75:1203-1210. [PMID: 32417777 DOI: 10.3233/jad-200005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
BACKGROUND Clinical research has demonstrated that brain reserve (BR) could exert positive effects on cognition for patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI). However, the effects of BR on cognition in individuals with subjective cognitive decline (SCD) are not clear. OBJECTIVE To examine cross-sectional effects of BR on cognition in SCD populations. METHODS One hundred forty-nine subjects were studied from the Sino Longitudinal Study on Cognitive Decline (SILCODE) study. Head circumference was used as a proxy of BR. Cognition was assessed across four domains (memory, executive, language, and general cognitive functions). Multiple linear regression models were conducted to examine effects of BR on cognitive scores. Furthermore, we addressed the question that whether the degree of self-perception of cognitive decline modified the effect of BR on cognitive performance in SCD subjects. RESULTS We found a positive effect of BR on language cognition in subjects with SCD. Furthermore, the positive effect of BR on language cognition survived in SCD participants with a low degree of self-perception of cognitive decline while disappeared in SCD participants with a high degree of self-perception of cognitive decline. CONCLUSION This study suggests that BR has the potential to delay or slow down cognitive decline in SCD individuals, especially for mild SCD.
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Affiliation(s)
- Guanqun Chen
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.,National Clinical Research Center for Geriatric Disorders, Beijing, China
| | - Chunhua Liu
- Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai, China
| | - Kun Yang
- Department of Evidence-based Medicine, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Yuxia Li
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Can Sheng
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Yunyan Xie
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Xiaochen Hu
- Department of Psychiatry and Psychotherapy, University of Cologne, Medical Faculty, Cologne, Germany
| | - Jiehui Jiang
- Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai, China
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China.,National Clinical Research Center for Geriatric Disorders, Beijing, China
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16
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Head circumference, apolipoprotein E genotype and cognition in the Bavarian School Sisters Study. Eur Psychiatry 2020; 27:219-22. [DOI: 10.1016/j.eurpsy.2011.01.008] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2010] [Revised: 01/05/2011] [Accepted: 01/12/2011] [Indexed: 11/21/2022] Open
Abstract
AbstractBackgroundThe apolipoprotein E (APOE) ɛ4 allele is correlated with an earlier onset of Alzheimer's disease symptoms; larger head circumference has been associated with an individual resilience against cognitive impairment.MethodsWe explored if larger head circumference attenuates the effect of the APOE ɛ4 allele on cognition in 380 Catholic sisters covering the spectrum from normal cognitive performance to severe dementia.ResultsLinear regression analysis, adjusting for risk factors for cognitive decline, revealed that APOE ɛ4 was correlated with worse cognition and that larger head circumference attenuated the negative effect of the ɛ4 allele on cognitive performance.ConclusionLarger head circumference (i.e. larger brain size) seems to be associated with greater resilience against genetic determinants of cognitive impairment, possibly due to enhanced brain or cognitive reserve.
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17
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Naidoo M, Anthony K. Dystrophin Dp71 and the Neuropathophysiology of Duchenne Muscular Dystrophy. Mol Neurobiol 2020; 57:1748-1767. [PMID: 31836945 PMCID: PMC7060961 DOI: 10.1007/s12035-019-01845-w] [Citation(s) in RCA: 71] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Accepted: 11/22/2019] [Indexed: 12/13/2022]
Abstract
Duchenne muscular dystrophy (DMD) is caused by frameshift mutations in the DMD gene that prevent the body-wide translation of its protein product, dystrophin. Besides a severe muscle phenotype, cognitive impairment and neuropsychiatric symptoms are prevalent. Dystrophin protein 71 (Dp71) is the major DMD gene product expressed in the brain and mutations affecting its expression are associated with the DMD neuropsychiatric syndrome. As with dystrophin in muscle, Dp71 localises to dystrophin-associated protein complexes in the brain. However, unlike in skeletal muscle; in the brain, Dp71 is alternatively spliced to produce many isoforms with differential subcellular localisations and diverse cellular functions. These include neuronal differentiation, adhesion, cell division and excitatory synapse organisation as well as nuclear functions such as nuclear scaffolding and DNA repair. In this review, we first describe brain involvement in DMD and the abnormalities observed in the DMD brain. We then review the gene expression, RNA processing and functions of Dp71. We review genotype-phenotype correlations and discuss emerging cellular/tissue evidence for the involvement of Dp71 in the neuropathophysiology of DMD. The literature suggests changes observed in the DMD brain are neurodevelopmental in origin and that their risk and severity is associated with a cumulative loss of distal DMD gene products such as Dp71. The high risk of neuropsychiatric syndromes in Duchenne patients warrants early intervention to achieve the best possible quality of life. Unravelling the function and pathophysiological significance of dystrophin in the brain has become a high research priority to inform the development of brain-targeting treatments for Duchenne.
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Affiliation(s)
- Michael Naidoo
- Centre for Physical Activity and Life Sciences, Faculty of Arts, Science and Technology, University of Northampton, University Drive, Northampton, Northamptonshire, NN1 5PH, UK
| | - Karen Anthony
- Centre for Physical Activity and Life Sciences, Faculty of Arts, Science and Technology, University of Northampton, University Drive, Northampton, Northamptonshire, NN1 5PH, UK.
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18
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Foss MP, Diniz PRB, da Roza DL, Gefen T, Maher AC, Formigheri P, Spedo CT, Salmon CEG, Tumas V, Speciali JG, Santos AC. Anatomic and neuropsychological findings in low-educated cognitively intact elderly from a Brazilian cohort. Dement Neuropsychol 2019; 13:378-385. [PMID: 31844490 PMCID: PMC6907709 DOI: 10.1590/1980-57642018dn13-040003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
In elderly individuals, low educational level may represent a risk factor for the
development of dementia and a proxy of cognitive reserve. Objective: This study
examined the cognitive and neuroanatomic correlates of high versus low
educational levels in cognitively healthy community-dwelling older adults in
Brazil. Methods: Fifty-three older adults (mean age: 68±5.3 years) were divided
into a “low education” group [LE; 1-4 years of education (N=33)] and “high
education” group [HE; >11 years of education (N=20)]. Both groups completed a
comprehensive neuropsychological battery and underwent in vivo
structural MRI close to the time of testing. Results: Higher educational level
increased the chance of having better scores on neuropsychological tests,
including verbal and visual delayed recall of information, verbal learning,
category fluency, global cognition, and vocabulary. Better scores on these tests
were observed in the HE group relative to the LE group. Despite this, there were
no group differences between MRI measures. Conclusion: Older adults with higher
educational levels showed better scores on neuropsychological measures of
cognition, highlighting the need for education-adjusted norms in developing
countries. Given the absence of differences in structural anatomy between the
groups, these findings appear to be best explained by theories of cognitive
reserve.
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Affiliation(s)
- Maria Paula Foss
- Universidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Hospital das Clínicas de Ribeirão Preto, Neurosciences Program, Department of Neurosciences and Behavioral Sciences, Ribeirão Preto, SP, Brazil
| | - Paula Rejane Beserra Diniz
- Universidade Federal de Pernambuco (UFPE), Center of Telehealth (NUTES), Department of Clinical Medicine, Recife, PE, Brazil
| | - Daiane Leite da Roza
- University of São Paulo, Ribeirão Preto Medical School, Department of Neurosciences and Behavioral Sciences, Ribeirão Preto, SP, Brazil
| | - Tamar Gefen
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease Center, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Amanda Cook Maher
- Department of Psychiatry, Neuropsychology Division, University of Michigan, Ann Arbor, MI, 48105, USA
| | - Paulo Formigheri
- Universidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Program of Internal Medicine, Ribeirão Preto/SP, Brazil
| | - Carina T Spedo
- Universidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Hospital das Clínicas de Ribeirão Preto, Neurosciences Program, Department of Neurosciences and Behavioral Sciences, Ribeirão Preto, SP, Brazil
| | - Carlos Ernesto Garrido Salmon
- Universidade de São Paulo, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto (FFCLRP), Department of Physics. Ribeirão Preto, SP, Brazil
| | - Vitor Tumas
- Universidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Hospital das Clínicas de Ribeirão Preto, Neurosciences Program, Department of Neurosciences and Behavioral Sciences, Ribeirão Preto, SP, Brazil
| | - José Geraldo Speciali
- Universidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Hospital das Clínicas de Ribeirão Preto, Neurosciences Program, Department of Neurosciences and Behavioral Sciences, Ribeirão Preto, SP, Brazil
| | - Antônio Carlos Santos
- Universidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Department Internal Medicine, Radiology Division, Ribeirão Preto, SP, Brazil
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Menardi A, Pascual-Leone A, Fried PJ, Santarnecchi E. The Role of Cognitive Reserve in Alzheimer's Disease and Aging: A Multi-Modal Imaging Review. J Alzheimers Dis 2019; 66:1341-1362. [PMID: 30507572 DOI: 10.3233/jad-180549] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Comforts in modern society have generally been associated with longer survival rates, enabling individuals to reach advanced age as never before in history. With the increase in longevity, however, the incidence of neurodegenerative diseases, especially Alzheimer's disease, has also doubled. Nevertheless, most of the observed variance, in terms of time of clinical diagnosis and progression, often remains striking. Only recently, differences in the social, educational and occupational background of the individual, as proxies of cognitive reserve (CR), have been hypothesized to play a role in accounting for such discrepancies. CR is a well-established concept in literature; lots of studies have been conducted in trying to better understand its underlying neural substrates and associated biomarkers, resulting in an incredible amount of data being produced. Here, we aimed to summarize recent relevant published work addressing the issue, gathering evidence for the existence of a common path across research efforts that might ease future investigations by providing a general perspective on the actual state of the arts. An innovative model is hereby proposed, addressing the role of CR across structural and functional evidences, as well as the potential implementation of non-invasive brain stimulation techniques in the causal validation of such theoretical frame.
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Affiliation(s)
- Arianna Menardi
- Brain Investigation and Neuromodulation Lab, Department of Medicine, Surgery and Neuroscience, Neurology and Clinical Neurophysiology Section, University of Siena, Italy.,Berenson-Allen Center for Noninvasive Brain Stimulation, Division of Cognitive Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Alvaro Pascual-Leone
- Berenson-Allen Center for Noninvasive Brain Stimulation, Division of Cognitive Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Peter J Fried
- Berenson-Allen Center for Noninvasive Brain Stimulation, Division of Cognitive Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Emiliano Santarnecchi
- Brain Investigation and Neuromodulation Lab, Department of Medicine, Surgery and Neuroscience, Neurology and Clinical Neurophysiology Section, University of Siena, Italy.,Berenson-Allen Center for Noninvasive Brain Stimulation, Division of Cognitive Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
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20
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Beyer L, Schnabel J, Kazmierczak P, Ewers M, Schönecker S, Prix C, Meyer-Wilmes J, Unterrainer M, Catak C, Pogarell O, Perneczky R, Albert NL, Bartenstein P, Danek A, Buerger K, Levin J, Rominger A, Brendel M. Neuronal injury biomarkers for assessment of the individual cognitive reserve in clinically suspected Alzheimer's disease. NEUROIMAGE-CLINICAL 2019; 24:101949. [PMID: 31398553 PMCID: PMC6699250 DOI: 10.1016/j.nicl.2019.101949] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/04/2018] [Revised: 06/18/2019] [Accepted: 07/19/2019] [Indexed: 10/26/2022]
Abstract
OBJECTIVES Many predictive or influencing factors have emerged in investigations of the cognitive reserve model of patients with Alzheimer's disease (AD). For example, neuronal injury, which correlates with cognitive decline in AD, can be assessed by [18F]-fluorodeoxyglucose positron-emission-tomography (FDG-PET), structural magnetic resonance imaging (MRI) and total tau in cerebrospinal fluid (CSFt-tau), all according to the A/T/N-classification. The aim of this study was to calculate residual cognitive performance based on neuronal injury biomarkers as a surrogate of cognitive reserve, and to test the predictive value of this index for the individual clinical course. METHODS 110 initially mild cognitive impaired and demented subjects (age 71 ± 8 years) with a final diagnosis of AD dementia were assessed at baseline by clinical mini-mental-state-examination (MMSE), FDG-PET, MRI and CSFt-tau. All neuronal injury markers were tested for an association with clinical MMSE and the resulting residuals were correlated with years of education. We used multiple regression analysis to calculate the expected MMSE score based on neuronal injury biomarkers and covariates. The residuals of the partial correlation for each biomarker and the predicted residualized memory function were correlated with individual cognitive changes measured during clinical follow-up (27 ± 13 months). RESULTS FDG-PET correlated highly with clinical MMSE (R = -0.49, p < .01), whereas hippocampal atrophy to MRI (R = -0.15, p = .14) and CSFt-tau (R = -0.12, p = .22) showed only weak correlations. Residuals of all neuronal injury biomarker regressions correlated significantly with education level, indicating them to be surrogates of cognitive reserve. A positive residual was associated with faster cognitive deterioration at follow-up for the residuals of stand-alone FDG-PET (R = -0.36, p = .01) and the combined residualized memory function model (R = -0.35, p = .02). CONCLUSIONS These findings suggest that subjects with higher cognitive reserve had accumulated more pathology, which subsequently caused a faster cognitive decline over time. Together with previous findings suggesting that higher reserve is associated with slower cognitive decline, we propose a biphasic reserve effect, with an initially protective phase followed by more rapid decompensation once the protection is overwhelmed.
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Affiliation(s)
- Leonie Beyer
- Dept. of Nuclear Medicine, University Hospital of Munich, LMU Munich, Marchioninistraße 15, 81377 Munich, Germany
| | - Jonas Schnabel
- Dept. of Nuclear Medicine, University Hospital of Munich, LMU Munich, Marchioninistraße 15, 81377 Munich, Germany
| | - Philipp Kazmierczak
- Institute for Radiology, University Hospital of Munich, LMU Munich, Marchioninistraße 15, 81377 Munich, Germany
| | - Michael Ewers
- DZNE - German Center for Neurodegenerative Diseases, Feodor-Lynen-Straße 17, 81377 Munich, Germany
| | - Sonja Schönecker
- Dept. of Neurology, University Hospital of Munich, LMU Munich, Marchioninistraße 15, 81377 Munich, Germany
| | - Catharina Prix
- Dept. of Neurology, University Hospital of Munich, LMU Munich, Marchioninistraße 15, 81377 Munich, Germany
| | - Johanna Meyer-Wilmes
- Dept. of Nuclear Medicine, University Hospital of Munich, LMU Munich, Marchioninistraße 15, 81377 Munich, Germany
| | - Marcus Unterrainer
- Dept. of Nuclear Medicine, University Hospital of Munich, LMU Munich, Marchioninistraße 15, 81377 Munich, Germany
| | - Cihan Catak
- Institute for Stroke and Dementia Research, University Hospital of Munich, LMU Munich, Feodor-Lynen-Straße 17, 81377 Munich, Germany
| | - Oliver Pogarell
- Dept. of Psychiatry, University Hospital of Munich, LMU Munich, Nußbaumstraße 7, 80336 Munich, Germany
| | - Robert Perneczky
- DZNE - German Center for Neurodegenerative Diseases, Feodor-Lynen-Straße 17, 81377 Munich, Germany; Dept. of Psychiatry, University Hospital of Munich, LMU Munich, Nußbaumstraße 7, 80336 Munich, Germany; Neuroepidemiology and Ageing Research Unit, School of Public Health, Imperial College, Charing Cross Hospital, St Dunstan's Road, London W6 8RP, United Kingdom; West London Mental Health NHS Trust, 1 Armstrong Way, Southhall UB2 4SD, United Kingdom
| | - Nathalie L Albert
- Dept. of Nuclear Medicine, University Hospital of Munich, LMU Munich, Marchioninistraße 15, 81377 Munich, Germany
| | - Peter Bartenstein
- Dept. of Nuclear Medicine, University Hospital of Munich, LMU Munich, Marchioninistraße 15, 81377 Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Feodor-Lynen-Straße 17, 81377 Munich, Germany
| | - Adrian Danek
- Dept. of Neurology, University Hospital of Munich, LMU Munich, Marchioninistraße 15, 81377 Munich, Germany
| | - Katharina Buerger
- DZNE - German Center for Neurodegenerative Diseases, Feodor-Lynen-Straße 17, 81377 Munich, Germany; Institute for Stroke and Dementia Research, University Hospital of Munich, LMU Munich, Feodor-Lynen-Straße 17, 81377 Munich, Germany
| | - Johannes Levin
- Dept. of Neurology, University Hospital of Munich, LMU Munich, Marchioninistraße 15, 81377 Munich, Germany
| | - Axel Rominger
- Dept. of Nuclear Medicine, University Hospital of Munich, LMU Munich, Marchioninistraße 15, 81377 Munich, Germany; Dept. of Nuclear Medicine, University of Bern, Inselspital, Freiburgstraße 18, 3010 Bern, Switzerland; Munich Cluster for Systems Neurology (SyNergy), Feodor-Lynen-Straße 17, 81377 Munich, Germany
| | - Matthias Brendel
- Dept. of Nuclear Medicine, University Hospital of Munich, LMU Munich, Marchioninistraße 15, 81377 Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Feodor-Lynen-Straße 17, 81377 Munich, Germany.
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21
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Franzmeier N, Düzel E, Jessen F, Buerger K, Levin J, Duering M, Dichgans M, Haass C, Suárez-Calvet M, Fagan AM, Paumier K, Benzinger T, Masters CL, Morris JC, Perneczky R, Janowitz D, Catak C, Wolfsgruber S, Wagner M, Teipel S, Kilimann I, Ramirez A, Rossor M, Jucker M, Chhatwal J, Spottke A, Boecker H, Brosseron F, Falkai P, Fliessbach K, Heneka MT, Laske C, Nestor P, Peters O, Fuentes M, Menne F, Priller J, Spruth EJ, Franke C, Schneider A, Kofler B, Westerteicher C, Speck O, Wiltfang J, Bartels C, Araque Caballero MÁ, Metzger C, Bittner D, Weiner M, Lee JH, Salloway S, Danek A, Goate A, Schofield PR, Bateman RJ, Ewers M. Left frontal hub connectivity delays cognitive impairment in autosomal-dominant and sporadic Alzheimer's disease. Brain 2019; 141:1186-1200. [PMID: 29462334 PMCID: PMC5888938 DOI: 10.1093/brain/awy008] [Citation(s) in RCA: 73] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2017] [Accepted: 12/01/2017] [Indexed: 12/02/2022] Open
Abstract
Patients with Alzheimer’s disease vary in their ability to sustain cognitive abilities in the presence of brain pathology. A major open question is which brain mechanisms may support higher reserve capacity, i.e. relatively high cognitive performance at a given level of Alzheimer’s pathology. Higher functional MRI-assessed functional connectivity of a hub in the left frontal cortex is a core candidate brain mechanism underlying reserve as it is associated with education (i.e. a protective factor often associated with higher reserve) and attenuated cognitive impairment in prodromal Alzheimer’s disease. However, no study has yet assessed whether such hub connectivity of the left frontal cortex supports reserve throughout the evolution of pathological brain changes in Alzheimer’s disease, including the presymptomatic stage when cognitive decline is subtle. To address this research gap, we obtained cross-sectional resting state functional MRI in 74 participants with autosomal dominant Alzheimer’s disease, 55 controls from the Dominantly Inherited Alzheimer’s Network and 75 amyloid-positive elderly participants, as well as 41 amyloid-negative cognitively normal elderly subjects from the German Center of Neurodegenerative Diseases multicentre study on biomarkers in sporadic Alzheimer’s disease. For each participant, global left frontal cortex connectivity was computed as the average resting state functional connectivity between the left frontal cortex (seed) and each voxel in the grey matter. As a marker of disease stage, we applied estimated years from symptom onset in autosomal dominantly inherited Alzheimer’s disease and cerebrospinal fluid tau levels in sporadic Alzheimer’s disease cases. In both autosomal dominant and sporadic Alzheimer’s disease patients, higher levels of left frontal cortex connectivity were correlated with greater education. For autosomal dominant Alzheimer’s disease, a significant left frontal cortex connectivity × estimated years of onset interaction was found, indicating slower decline of memory and global cognition at higher levels of connectivity. Similarly, in sporadic amyloid-positive elderly subjects, the effect of tau on cognition was attenuated at higher levels of left frontal cortex connectivity. Polynomial regression analysis showed that the trajectory of cognitive decline was shifted towards a later stage of Alzheimer’s disease in patients with higher levels of left frontal cortex connectivity. Together, our findings suggest that higher resilience against the development of cognitive impairment throughout the early stages of Alzheimer’s disease is at least partially attributable to higher left frontal cortex-hub connectivity.
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Affiliation(s)
- Nicolai Franzmeier
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Feodor-Lynen Straße 17, 81377 Munich, Germany
| | - Emrah Düzel
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Frank Jessen
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Sigmund-Freud-Str. 27, 53127 Bonn, Germany.,Department of Psychiatry, University of Cologne, Medical Faculty, Kerpener Strasse 62, 50924 Cologne, Germany
| | - Katharina Buerger
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Feodor-Lynen Straße 17, 81377 Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE, Munich), Munich, Germany
| | - Johannes Levin
- German Center for Neurodegenerative Diseases (DZNE, Munich), Munich, Germany.,Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Marco Duering
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Feodor-Lynen Straße 17, 81377 Munich, Germany
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Feodor-Lynen Straße 17, 81377 Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE, Munich), Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Christian Haass
- German Center for Neurodegenerative Diseases (DZNE, Munich), Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,Biomedical Center, Biochemistry, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Marc Suárez-Calvet
- German Center for Neurodegenerative Diseases (DZNE, Munich), Munich, Germany.,Biomedical Center, Biochemistry, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Anne M Fagan
- Department of Radiology, Washington University in St Louis, St Louis, Missouri, USA.,Knight Alzheimer's Disease Research Center, Washington University in St. Louis, St. Louis, MO, USA.,Hope Center for Neurological Disorders, Washington University in St. Louis, St. Louis, MO, USA
| | - Katrina Paumier
- Department of Radiology, Washington University in St Louis, St Louis, Missouri, USA
| | - Tammie Benzinger
- Department of Radiology, Washington University in St Louis, St Louis, Missouri, USA.,Knight Alzheimer's Disease Research Center, Washington University in St. Louis, St. Louis, MO, USA
| | - Colin L Masters
- The Florey Institute, The University of Melbourne, Parkville, Victoria, Australia
| | - John C Morris
- Department of Radiology, Washington University in St Louis, St Louis, Missouri, USA.,Knight Alzheimer's Disease Research Center, Washington University in St. Louis, St. Louis, MO, USA.,Hope Center for Neurological Disorders, Washington University in St. Louis, St. Louis, MO, USA
| | - Robert Perneczky
- German Center for Neurodegenerative Diseases (DZNE, Munich), Munich, Germany.,Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-Universität München, Nußbaumstr. 7, 80336 Munich, Germany.,Neuroepidemiology and Ageing Research Unit, School of Public Health, The Imperial College of Science, Technology and Medicine, Exhibition Road, SW7 2AZ London, UK.,West London Mental Health Trust, 13 Uxbridge Road, UB1 3EU London, UK
| | - Daniel Janowitz
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Feodor-Lynen Straße 17, 81377 Munich, Germany
| | - Cihan Catak
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Feodor-Lynen Straße 17, 81377 Munich, Germany
| | - Steffen Wolfsgruber
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Sigmund-Freud-Str. 27, 53127 Bonn, Germany.,Department of Psychiatry and Psychotherapy, University of Bonn, Sigmund-Freud-Str. 25, 53127 Bonn, Germany
| | - Michael Wagner
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Sigmund-Freud-Str. 27, 53127 Bonn, Germany.,Department of Psychiatry and Psychotherapy, University of Bonn, Sigmund-Freud-Str. 25, 53127 Bonn, Germany.,Department of Neurodegeneration and Geriatric Psychiatry, University of Bonn, Sigmund-Freud-Str. 25, 53127 Bonn, Germany
| | - Stefan Teipel
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.,Department of Psychosomatic, University of Rostock, Gehlsheimer Str. 20, 18147 Rostock, Germany
| | - Ingo Kilimann
- Department of Neurodegeneration and Geriatric Psychiatry, University of Bonn, Sigmund-Freud-Str. 25, 53127 Bonn, Germany.,German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
| | - Alfredo Ramirez
- Department of Psychiatry, University of Cologne, Medical Faculty, Kerpener Strasse 62, 50924 Cologne, Germany.,Department of Psychiatry and Psychotherapy, University of Bonn, Sigmund-Freud-Str. 25, 53127 Bonn, Germany.,Institute of Human Genetics, University of Bonn, 53127, Bonn, Germany
| | - Martin Rossor
- Dementia Research Centre, University College London, Queen Square, London, UK
| | - Mathias Jucker
- Hertie Institute for Clinical Brain Research, Tübingen, Germany and German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Jasmeer Chhatwal
- Departments of Neurology, Massachusetts General Hospital, Charlestown HealthCare Center, Charlestown, Massachusetts 02129, USA.,Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown HealthCare Center, Charlestown, Massachusetts 02129, USA
| | - Annika Spottke
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Sigmund-Freud-Str. 27, 53127 Bonn, Germany.,Department of Neurology, University of Bonn, Sigmund-Freud-Str. 25, 53127 Bonn, Germany
| | - Henning Boecker
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Sigmund-Freud-Str. 27, 53127 Bonn, Germany.,Department of Radiology, University of Bonn, Sigmund-Freud-Str. 25, 53127 Bonn, Germany
| | - Frederic Brosseron
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Sigmund-Freud-Str. 27, 53127 Bonn, Germany.,Department of Neurodegeneration and Geriatric Psychiatry, University of Bonn, Sigmund-Freud-Str. 25, 53127 Bonn, Germany
| | - Peter Falkai
- German Center for Neurodegenerative Diseases (DZNE, Munich), Munich, Germany.,Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-Universität München, Nußbaumstr. 7, 80336 Munich, Germany
| | - Klaus Fliessbach
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Sigmund-Freud-Str. 27, 53127 Bonn, Germany.,Department of Neurodegeneration and Geriatric Psychiatry, University of Bonn, Sigmund-Freud-Str. 25, 53127 Bonn, Germany
| | - Michael T Heneka
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Sigmund-Freud-Str. 27, 53127 Bonn, Germany.,Department of Neurodegeneration and Geriatric Psychiatry, University of Bonn, Sigmund-Freud-Str. 25, 53127 Bonn, Germany
| | - Christoph Laske
- Dementia Research Centre, University College London, Queen Square, London, UK.,Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Peter Nestor
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.,Queensland Brain Institute, University of Queensland, Brisbane, Australia
| | - Oliver Peters
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.,Department of Psychiatry and Psychotherapy, Charité, Hindenburgdamm 30, 12203 Berlin, Germany
| | - Manuel Fuentes
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
| | - Felix Menne
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.,Department of Psychiatry and Psychotherapy, Charité, Hindenburgdamm 30, 12203 Berlin, Germany
| | - Josef Priller
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.,Department of Neuropsychiatry, Charite - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Eike J Spruth
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.,Department of Neuropsychiatry, Charite - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Christiana Franke
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.,Department of Neuropsychiatry, Charite - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Anja Schneider
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Sigmund-Freud-Str. 27, 53127 Bonn, Germany.,Department of Neurodegeneration and Geriatric Psychiatry, University of Bonn, Sigmund-Freud-Str. 25, 53127 Bonn, Germany
| | - Barbara Kofler
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Sigmund-Freud-Str. 27, 53127 Bonn, Germany.,Department of Psychiatry and Psychotherapy, University of Bonn, Sigmund-Freud-Str. 25, 53127 Bonn, Germany
| | - Christine Westerteicher
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Sigmund-Freud-Str. 27, 53127 Bonn, Germany.,Department of Psychiatry and Psychotherapy, University of Bonn, Sigmund-Freud-Str. 25, 53127 Bonn, Germany
| | - Oliver Speck
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.,Leibniz Institute for Neurobiology, Magdeburg, Germany.,Center for Behavioral Brain Sciences, Magdeburg, Germany.,Department of Biomedical Magnetic Resonance, Leipziger Str. 44, 39120 Magdeburg, Germany
| | - Jens Wiltfang
- German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany.,Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Von-Siebold-Str. 5, 37075 Goettingen, Germany.,iBiMED, Medical Sciences Department, University of Aveiro, Aveiro, Portugal
| | - Claudia Bartels
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Von-Siebold-Str. 5, 37075 Goettingen, Germany
| | - Miguel Ángel Araque Caballero
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Feodor-Lynen Straße 17, 81377 Munich, Germany
| | - Coraline Metzger
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Daniel Bittner
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Michael Weiner
- University of California at San Francisco, 505 Parnassus Ave, San Francisco, CA94143, USA
| | - Jae-Hong Lee
- Department of Neurology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Stephen Salloway
- Department of Neurology, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Adrian Danek
- German Center for Neurodegenerative Diseases (DZNE, Munich), Munich, Germany.,Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Alison Goate
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Ronald M. Loeb Center for Alzheimer's Disease, Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Peter R Schofield
- Neuroscience Research Australia, Barker Street Randwick, Sydney 2031, Australia.,School of Medical Sciences, University of New South Wales, Sydney 2052, Australia
| | - Randall J Bateman
- Department of Radiology, Washington University in St Louis, St Louis, Missouri, USA.,Knight Alzheimer's Disease Research Center, Washington University in St. Louis, St. Louis, MO, USA.,Hope Center for Neurological Disorders, Washington University in St. Louis, St. Louis, MO, USA
| | - Michael Ewers
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Feodor-Lynen Straße 17, 81377 Munich, Germany
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22
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Goltermann J, Redlich R, Dohm K, Zaremba D, Repple J, Kaehler C, Grotegerd D, Förster K, Meinert S, Enneking V, Schlaghecken E, Fleischer L, Hahn T, Kugel H, Jansen A, Krug A, Brosch K, Nenadic I, Schmitt S, Stein F, Meller T, Yüksel D, Fischer E, Rietschel M, Witt SH, Forstner AJ, Nöthen MM, Kircher T, Thalamuthu A, Baune BT, Dannlowski U, Opel N. Apolipoprotein E Homozygous ε4 Allele Status: A Deteriorating Effect on Visuospatial Working Memory and Global Brain Structure. Front Neurol 2019; 10:552. [PMID: 31191441 PMCID: PMC6545528 DOI: 10.3389/fneur.2019.00552] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Accepted: 05/08/2019] [Indexed: 01/22/2023] Open
Abstract
Theoretical background: The Apolipoprotein E (APOE) ε4 genotype is known to be one of the strongest single-gene predictors for Alzheimer disease, which is characterized by widespread brain structural degeneration progressing along with cognitive impairment. The ε4 allele status has been associated with brain structural alterations and lower cognitive ability in non-demented subjects. However, it remains unclear to what extent the visuospatial cognitive domain is affected, from what age onward changes are detectable and if alterations may interact with cognitive deficits in major depressive disorder (MDD). The current work investigated the effect of APOE ε4 homozygosity on visuospatial working memory (vWM) capacity, and on hippocampal morphometry. Furthermore, potential moderating roles of age and MDD were assessed. Methods: A sample of n = 31 homozygous ε4 carriers was contrasted with n = 31 non-ε4 carriers in a cross-sectional design. The sample consisted of non-demented, young to mid-age participants (mean age = 34.47; SD = 13.48; 51.6% female). Among them were n = 12 homozygous ε4 carriers and n = 12 non-ε4 carriers suffering from MDD (39%). VWM was assessed using the Corsi block-tapping task. Region of interest analyses of hippocampal gray matter density and volume were conducted using voxel-based morphometry (CAT12), and Freesurfer, respectively. Results: Homozygous ε4 carriers showed significantly lower Corsi span capacity than non-ε4 carriers did, and Corsi span capacity was associated with higher gray matter density of the hippocampus. APOE group differences in hippocampal volume could be detected but were no longer present when controlling for total intracranial volume. Hippocampal gray matter density did not differ between APOE groups. We did not find any interaction effects of age and MDD diagnosis on hippocampal morphometry. Conclusion: Our results point toward a negative association of homozygous ε4 allele status with vWM capacity already during mid-adulthood, which emerges independently of MDD diagnosis and age. APOE genotype seems to be associated with global brain structural rather than hippocampus specific alterations in young- to mid-age participants.
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Affiliation(s)
- Janik Goltermann
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Ronny Redlich
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Katharina Dohm
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Dario Zaremba
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Jonathan Repple
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Claas Kaehler
- Department of Psychiatry, University of Münster, Münster, Germany.,Department of Mathematics and Computer Science, University of Münster, Münster, Germany
| | | | | | - Susanne Meinert
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Verena Enneking
- Department of Psychiatry, University of Münster, Münster, Germany
| | | | - Lara Fleischer
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Tim Hahn
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Harald Kugel
- Institute of Clinical Radiology, University of Münster, Münster, Germany
| | - Andreas Jansen
- Department of Psychiatry, University of Marburg, Marburg, Germany.,Core-Facility BrainImaging, Faculty of Medicine, University of Marburg, Marburg, Germany.,Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany
| | - Axel Krug
- Department of Psychiatry, University of Marburg, Marburg, Germany
| | - Katharina Brosch
- Department of Psychiatry, University of Marburg, Marburg, Germany
| | - Igor Nenadic
- Department of Psychiatry, University of Marburg, Marburg, Germany
| | - Simon Schmitt
- Department of Psychiatry, University of Marburg, Marburg, Germany
| | - Frederike Stein
- Department of Psychiatry, University of Marburg, Marburg, Germany
| | - Tina Meller
- Department of Psychiatry, University of Marburg, Marburg, Germany
| | - Dilara Yüksel
- Department of Psychiatry, University of Marburg, Marburg, Germany
| | - Elena Fischer
- Department of Psychiatry, University of Marburg, Marburg, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - Stephanie H Witt
- Department of Genetic Epidemiology, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - Andreas J Forstner
- School of Medicine & University Hospital Bonn, Institute of Human Genetics, University of Bonn, Bonn, Germany.,Centre for Human Genetics, University of Marburg, Marburg, Germany.,Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Markus M Nöthen
- School of Medicine & University Hospital Bonn, Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - Tilo Kircher
- Department of Psychiatry, University of Marburg, Marburg, Germany
| | - Anbupalam Thalamuthu
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales Sydney, Sydney, NSW, Australia
| | - Bernhard T Baune
- Department of Psychiatry, University of Münster, Münster, Germany.,Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, Australia.,The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Nils Opel
- Department of Psychiatry, University of Münster, Münster, Germany
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Manchikalapudi AL, Chilakala RR, Kalia K, Sunkaria A. Evaluating the Role of Microglial Cells in Clearance of Aβ from Alzheimer's Brain. ACS Chem Neurosci 2019; 10:1149-1156. [PMID: 30609357 DOI: 10.1021/acschemneuro.8b00627] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Ever increasing incidence of Alzheimer's diseases (AD) has been reported all over the globe, and practically no drug is currently available for its treatment. In the past 15 years, not a single drug came out of clinical trials. The researchers have yet to discover a drug that could specifically target AD; in fact, the drugs that are about to launch in the global market either belong to natural compounds or are already approved drugs targeting other diseases. So, we need to shift our focus on finding novel targets which are more specific and could either detect or inhibit the disease progression at a very early stage. Microglia are the only resident innate immune cells of the brain that are originated from erythromyeloid progenitors. They migrate to the brain during early embryonic development, although their number is less (∼5 to 10%), but they could act as guardians of the brain. It has been shown that the extracellular deposits of Aβ are continuously phagocytosed by microglia in healthy individuals, but this ability would decrease with age and lead to development of AD. In this review, we have explored the possibility of whether microglial cells could be utilized as an early predictor of the AD progression. Here, we discuss the innate immune response of microglial cells, the factors affecting microglia response, microglial receptors to which Aβ could bind, and microglial phenotype markers. Last, we conclude with a list of available AD therapeutics along with their mechanism.
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Affiliation(s)
| | - Rajasekhar Reddy Chilakala
- Department of Biotechnology, National Institute of Pharmaceutical Education and Research, Ahmedabad, Gujarat, India
| | - Kiran Kalia
- Department of Biotechnology, National Institute of Pharmaceutical Education and Research, Ahmedabad, Gujarat, India
| | - Aditya Sunkaria
- Department of Biotechnology, National Institute of Pharmaceutical Education and Research, Ahmedabad, Gujarat, India
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24
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Affiliation(s)
- N. N. Koberskaya
- I.M. Sechenov First Moscow State Medical University (Sechenov University), Ministry of Health of Russia
| | - G. R. Tabeeva
- I.M. Sechenov First Moscow State Medical University (Sechenov University), Ministry of Health of Russia
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25
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Jeon SY, Byun MS, Yi D, Lee JH, Choe YM, Ko K, Sohn BK, Choi HJ, Lee JY, Lee DY. Influence of hypertension on brain amyloid deposition and Alzheimer's disease signature neurodegeneration. Neurobiol Aging 2019; 75:62-70. [DOI: 10.1016/j.neurobiolaging.2018.11.001] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Revised: 11/07/2018] [Accepted: 11/08/2018] [Indexed: 02/01/2023]
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Abstract
Similar to other complex disorders, the etiology of Alzheimer disease is multifactorial and characterized by an interplay of biological and environmental risk and protective factors. Potentially modifiable risk factors have emerged from epidemiological research and strategies to prevent neurodegeneration and dementia are currently being tested, including multimodal interventions aiming to reduce several risk factors at once. The concept of reserve was developed based on the observation that certain individual characteristics, such as life experiences, lifestyles, and neurobiological parameters, are associated with a higher resilience against neurodegeneration and its symptoms. Coordinated research is required to maximize the use of available human and financial resources to better understand the underlying neurobiological mechanisms of reserve and to translate research findings into effective public health interventions.
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27
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Perneczky R, Kempermann G, Korczyn AD, Matthews FE, Ikram MA, Scarmeas N, Chetelat G, Stern Y, Ewers M. Translational research on reserve against neurodegenerative disease: consensus report of the International Conference on Cognitive Reserve in the Dementias and the Alzheimer's Association Reserve, Resilience and Protective Factors Professional Interest Area working groups. BMC Med 2019; 17:47. [PMID: 30808345 PMCID: PMC6391801 DOI: 10.1186/s12916-019-1283-z] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Accepted: 02/06/2019] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND The concept of reserve was established to account for the observation that a given degree of neurodegenerative pathology may result in varying degrees of symptoms in different individuals. There is a large amount of evidence on epidemiological risk and protective factors for neurodegenerative diseases and dementia, yet the biological mechanisms that underpin the protective effects of certain lifestyle and physiological variables remain poorly understood, limiting the development of more effective preventive and treatment strategies. Additionally, different definitions and concepts of reserve exist, which hampers the coordination of research and comparison of results across studies. DISCUSSION This paper represents the consensus of a multidisciplinary group of experts from different areas of research related to reserve, including clinical, epidemiological and basic sciences. The consensus was developed during meetings of the working groups of the first International Conference on Cognitive Reserve in the Dementias (24-25 November 2017, Munich, Germany) and the Alzheimer's Association Reserve and Resilience Professional Interest Area (25 July 2018, Chicago, USA). The main objective of the present paper is to develop a translational perspective on putative mechanisms underlying reserve against neurodegenerative disease, combining evidence from epidemiological and clinical studies with knowledge from animal and basic research. The potential brain functional and structural basis of reserve in Alzheimer's disease and other brain disorders are discussed, as well as relevant lifestyle and genetic factors assessed in both humans and animal models. CONCLUSION There is an urgent need to advance our concept of reserve from a hypothetical model to a more concrete approach that can be used to improve the development of effective interventions aimed at preventing dementia. Our group recommends agreement on a common dictionary of terms referring to different aspects of reserve, the improvement of opportunities for data sharing across individual cohorts, harmonising research approaches across laboratories and groups to reduce heterogeneity associated with human data, global coordination of clinical trials to more effectively explore whether reducing epidemiological risk factors leads to a reduced burden of neurodegenerative diseases in the population, and an increase in our understanding of the appropriateness of animal models for reserve research.
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Affiliation(s)
- Robert Perneczky
- Division of Mental Health in Older Adults and Alzheimer Therapy and Research Center, Department of Psychiatry and Psychotherapy, University Hospital, Ludwig Maximilian University Munich, 80336, Munich, Germany. .,German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany. .,Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, UK. .,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
| | - Gerd Kempermann
- German Center for Neurodegenerative Diseases (DZNE) Dresden, Dresden, Germany.,Center for Regenerative Therapies Dresden (CRTD), Technische Universität Dresden, Dresden, Germany
| | - Amos D Korczyn
- Sackler School of Medicine, Tel- Aviv University, Ramat Aviv, Israel
| | - Fiona E Matthews
- Institute of Health and Society, Newcastle University Institute for Ageing, Newcastle University, Newcastle, UK.,MRC Biostatistics Unit, Cambridge University, Cambridge, UK
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Nikolaos Scarmeas
- Department of Social Medicine, Psychiatry and Neurology, 1st Department of Neurology, Aeginition University Hospital, National and Kapodistrian University of Athens, Athens, Greece.,Cognitive Neuroscience Division, Department of Neurology and The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA
| | - Gael Chetelat
- Université Normandie, Inserm, Université de Caen-Normandie, Inserm UMR-S U1237, GIP Cyceron, Caen, France
| | - Yaakov Stern
- Cognitive Neuroscience Division, Department of Neurology and The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA
| | - Michael Ewers
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
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28
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Cutuli D, de Guevara-Miranda DL, Castilla-Ortega E, Santín L, Sampedro-Piquero P. Highlighting the Role of Cognitive and Brain Reserve in the Substance use Disorder Field. Curr Neuropharmacol 2019; 17:1056-1070. [PMID: 31204624 PMCID: PMC7052825 DOI: 10.2174/1570159x17666190617100707] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Revised: 04/17/2019] [Accepted: 05/31/2019] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Cognitive reserve (CR) refers to the ability of an individual to cope with brain pathology remaining free of cognitive symptoms. This protective factor has been related to compensatory and more efficient brain mechanisms involved in resisting brain damage. For its part, Brain reserve (BR) refers to individual differences in the structural properties of the brain which could also make us more resilient to suffer from neurodegenerative and mental diseases. OBJECTIVE This review summarizes how this construct, mainly mediated by educational level, occupational attainment, physical and mental activity, as well as successful social relationships, has gained scientific attention in the last years with regard to diseases, such as neurodegenerative diseases, stroke or traumatic brain injury. Nevertheless, although CR has been studied in a large number of disorders, few researches have addressed the role of this concept in drug addiction. METHODS We provide a selective overview of recent literature about the role of CR and BR in preventing substance use onset. Likewise, we will also discuss how variables involved in CR (healthy leisure, social support or job-related activities, among others) could be trained and included as complementary activities of substance use disorder treatments. RESULTS Evidence about this topic suggests a preventive role of CR and BR on drug use onset and when drug addiction is established, these factors led to less severe addiction-related problems, as well as better treatment outcomes. CONCLUSION CR and BR are variables not taken yet into account in drug addiction. However, they could give us a valuable information about people at risk, as well as patient's prognosis.
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Affiliation(s)
| | | | | | - L.J. Santín
- Address correspondence to these authors at the Instituto de Investigación Biomédica de Málaga (IBIMA), Doctor Miguel Díaz Recio, 28 Málaga 29010, Departamento de Psicobiología y Metodología de las Ciencias del Comportamiento, Facultad de Psicología, Universidad de Málaga, Campus de Teatinos S/N, 29071 Málaga, Spain; E-mails: (P. Sampedro-Piquero) and (L.J. Santín)
| | - P. Sampedro-Piquero
- Address correspondence to these authors at the Instituto de Investigación Biomédica de Málaga (IBIMA), Doctor Miguel Díaz Recio, 28 Málaga 29010, Departamento de Psicobiología y Metodología de las Ciencias del Comportamiento, Facultad de Psicología, Universidad de Málaga, Campus de Teatinos S/N, 29071 Málaga, Spain; E-mails: (P. Sampedro-Piquero) and (L.J. Santín)
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29
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Kwon OD, Choi SY, Bae J. Association of head circumference with cognitive decline and symptoms of depression in elderly: a 3-year prospective study. Yeungnam Univ J Med 2018; 35:205-212. [PMID: 31620595 PMCID: PMC6784694 DOI: 10.12701/yujm.2018.35.2.205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Revised: 11/21/2018] [Accepted: 11/27/2018] [Indexed: 11/04/2022] Open
Abstract
Background Methods Results Conclusion
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Affiliation(s)
- Oh Dae Kwon
- Department of Neurology, Catholic University of Daegu School of Medicine, Daegu, Korea
- Corresponding Author: Oh Dae Kwon, Department of Neurology, Catholic University of Daegu School of Medicine, 33, Duryugongwon-ro 17-gil, Nam-gu, Daegu 42472, Korea Tel: +82-53-650-4298, Fax: +82-53-654-9786 E-mail:
| | - So-Young Choi
- Department of Neurology, Catholic University of Daegu School of Medicine, Daegu, Korea
| | - Jisuk Bae
- Department of Preventive Medicine, Catholic University of Daegu School of Medicine, Daegu, Korea
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30
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Franzmeier N, Hartmann JC, Taylor ANW, Araque Caballero MÁ, Simon-Vermot L, Buerger K, Kambeitz-Ilankovic LM, Ertl-Wagner B, Mueller C, Catak C, Janowitz D, Stahl R, Dichgans M, Duering M, Ewers M. Left Frontal Hub Connectivity during Memory Performance Supports Reserve in Aging and Mild Cognitive Impairment. J Alzheimers Dis 2018; 59:1381-1392. [PMID: 28731448 PMCID: PMC5611800 DOI: 10.3233/jad-170360] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Reserve in aging and Alzheimer's disease (AD) is defined as maintaining cognition at a relatively high level in the presence of neurodegeneration, an ability often associated with higher education among other life factors. Recent evidence suggests that higher resting-state functional connectivity within the frontoparietal control network, specifically the left frontal cortex (LFC) hub, contributes to higher reserve. Following up these previous resting-state fMRI findings, we probed memory-task related functional connectivity of the LFC hub as a neural substrate of reserve. In elderly controls (CN, n = 37) and patients with mild cognitive impairment (MCI, n = 17), we assessed global connectivity of the LFC hub during successful face-name association learning, using generalized psychophysiological interaction analyses. Reserve was quantified as residualized memory performance, accounted for gender and proxies of neurodegeneration (age, hippocampus atrophy, and APOE genotype). We found that greater education was associated with higher LFC-connectivity in both CN and MCI during successful memory. Furthermore, higher LFC-connectivity predicted higher residualized memory (i.e., reserve). These results suggest that higher LFC-connectivity contributes to reserve in both healthy and pathological aging.
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Affiliation(s)
- Nicolai Franzmeier
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Julia C Hartmann
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany
| | | | - Miguel Á Araque Caballero
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Lee Simon-Vermot
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Katharina Buerger
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE, Munich), Munich, Germany
| | | | - Birgit Ertl-Wagner
- Institute for Clinical Radiology, Klinikum der Universität München, Ludwig-Maximilian University, Munich, Germany
| | - Claudia Mueller
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Cihan Catak
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Daniel Janowitz
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Robert Stahl
- Institute for Clinical Radiology, Klinikum der Universität München, Ludwig-Maximilian University, Munich, Germany
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE, Munich), Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Marco Duering
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Michael Ewers
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany
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Doniger GM, Beeri MS, Bahar-Fuchs A, Gottlieb A, Tkachov A, Kenan H, Livny A, Bahat Y, Sharon H, Ben-Gal O, Cohen M, Zeilig G, Plotnik M. Virtual reality-based cognitive-motor training for middle-aged adults at high Alzheimer's disease risk: A randomized controlled trial. ALZHEIMERS & DEMENTIA-TRANSLATIONAL RESEARCH & CLINICAL INTERVENTIONS 2018; 4:118-129. [PMID: 29955655 PMCID: PMC6021455 DOI: 10.1016/j.trci.2018.02.005] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Introduction Ubiquity of Alzheimer's disease (AD) coupled with relatively ineffectual pharmacologic treatments has spurred interest in nonpharmacologic lifestyle interventions for prevention or risk reduction. However, evidence of neuroplasticity notwithstanding, there are few scientifically rigorous, ecologically relevant brain training studies focused on building cognitive reserve in middle age to protect against cognitive decline. This pilot study will examine the ability of virtual reality (VR) cognitive training to improve cognition and cerebral blood flow (CBF) in middle-aged individuals at high AD risk due to parental history. Methods The design is an assessor-blind, parallel group, randomized controlled trial of VR cognitive-motor training in middle-aged adults with AD family history. The experimental group will be trained with adaptive “real-world” VR tasks targeting sustained and selective attention, working memory, covert rule deduction, and planning, while walking on a treadmill. One active control group will perform the VR tasks without treadmill walking; another will walk on a treadmill while watching scientific documentaries (nonspecific cognitive stimulation). A passive (waitlist) control group will not receive training. Training sessions will be 45 minutes, twice/week for 12 weeks. Primary outcomes are global cognition and CBF (from arterial spin labeling [ASL]) at baseline, immediately after training (training gain), and 3 months post-training (maintenance gain). We aim to recruit 125 participants, including 20 passive controls and 35 in the other groups. Discussion Current pharmacologic therapies are for symptomatic AD patients, whereas nonpharmacologic training is administrable before symptom onset. Emerging evidence suggests that cognitive training improves cognitive function. However, a more ecologically valid cognitive-motor VR setting that better mimics complex daily activities may augment transfer of trained skills. VR training has benefited clinical cohorts, but benefit in asymptomatic high-risk individuals is unknown. If effective, this trial may help define a prophylactic regimen for AD, adaptable for home-based application in high-risk individuals.
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Affiliation(s)
- Glen M. Doniger
- Center of Advanced Technologies in Rehabilitation, Sheba Medical Center, Ramat Gan, Israel
- Joseph Sagol Neuroscience Center, Sheba Medical Center, Ramat Gan, Israel
- Baruch Ivcher School of Psychology, Interdisciplinary Center (IDC) Herzliya, Herzliya, Israel
- Corresponding author. Tel.: +97235304874; Fax: +97235307572.
| | - Michal Schnaider Beeri
- Joseph Sagol Neuroscience Center, Sheba Medical Center, Ramat Gan, Israel
- Baruch Ivcher School of Psychology, Interdisciplinary Center (IDC) Herzliya, Herzliya, Israel
- Department of Psychiatry, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alex Bahar-Fuchs
- Joseph Sagol Neuroscience Center, Sheba Medical Center, Ramat Gan, Israel
- Center for Research on Aging, Health, and Wellbeing, Research School of Population Health, The Australian National University, Canberra, ACT, Australia
- The Academic Unit for Psychiatry of Old Age, Department of Psychiatry, The University of Melbourne, Victoria, Australia
| | - Amihai Gottlieb
- Center of Advanced Technologies in Rehabilitation, Sheba Medical Center, Ramat Gan, Israel
| | - Anastasia Tkachov
- Joseph Sagol Neuroscience Center, Sheba Medical Center, Ramat Gan, Israel
| | - Hagar Kenan
- Joseph Sagol Neuroscience Center, Sheba Medical Center, Ramat Gan, Israel
| | - Abigail Livny
- Joseph Sagol Neuroscience Center, Sheba Medical Center, Ramat Gan, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Department of Diagnostic Imaging, Sheba Medical Center, Ramat Gan, Israel
| | - Yotam Bahat
- Center of Advanced Technologies in Rehabilitation, Sheba Medical Center, Ramat Gan, Israel
| | - Hadar Sharon
- Center of Advanced Technologies in Rehabilitation, Sheba Medical Center, Ramat Gan, Israel
| | - Oran Ben-Gal
- Center of Advanced Technologies in Rehabilitation, Sheba Medical Center, Ramat Gan, Israel
| | - Maya Cohen
- Center of Advanced Technologies in Rehabilitation, Sheba Medical Center, Ramat Gan, Israel
- Joseph Sagol Neuroscience Center, Sheba Medical Center, Ramat Gan, Israel
| | - Gabi Zeilig
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Department of Neurological Rehabilitation, Sheba Medical Center, Ramat Gan, Israel
| | - Meir Plotnik
- Center of Advanced Technologies in Rehabilitation, Sheba Medical Center, Ramat Gan, Israel
- Department of Physiology and Pharmacology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
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32
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Social and cognitive control skills in long-life occupation activities modulate the brain reserve in the behavioural variant of frontotemporal dementia. Cortex 2018; 99:311-318. [DOI: 10.1016/j.cortex.2017.12.006] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2017] [Revised: 07/18/2017] [Accepted: 12/07/2017] [Indexed: 12/21/2022]
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33
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Huang H, Tanner J, Parvataneni H, Rice M, Horgas A, Ding M, Price C. Impact of Total Knee Arthroplasty with General Anesthesia on Brain Networks: Cognitive Efficiency and Ventricular Volume Predict Functional Connectivity Decline in Older Adults. J Alzheimers Dis 2018; 62:319-333. [PMID: 29439328 PMCID: PMC5827939 DOI: 10.3233/jad-170496] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Using resting state functional magnetic resonance imaging (RS-fMRI), we explored: 1) pre- to post-operative changes in functional connectivity in default mode, salience, and central executive networks after total knee arthroplasty (TKA) with general anesthesia, and 2) the contribution of cognitive/brain reserve metrics these resting state functional declines. Individuals age 60 and older electing unilateral total knee arthroplasty (TKA; n = 48) and non-surgery peers with osteoarthritis (n = 45) completed baseline cognitive testing and baseline and post-surgery (post-baseline, 48-h post-surgery) brain MRI. We acquired cognitive and brain estimates for premorbid (vocabulary, reading, education, intracranial volume) and current (working memory, processing speed, declarative memory, ventricular volume) reserve. Functional network analyses corrected for pain severity and pain medication. The surgery group declined in every functional network of interest (p < 0.001). Relative to non-surgery peers, 23% of surgery participants declined in at least one network and 15% of the total TKA sample declined across all networks. Larger preoperative ventricular volume and lower scores on preoperative metrics of processing speed and working memory predicted default mode network connectivity decline. Premorbid cognitive and premorbid brain reserve did not predict decline. Within 48 hours after surgery, at least one fourth of the older adult sample showed significant functional network decline. Metrics of current brain status (ventricular volume), working memory, and processing speed predicted the severity of default mode network connectivity decline. These findings demonstrate the relevance of preoperative cognition and brain integrity on acute postoperative functional network change.
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Affiliation(s)
- Haiqing Huang
- Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA
| | - Jared Tanner
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Hari Parvataneni
- Department of Orthopedic Surgery, University of Florida, Gainesville, FL, USA
| | - Mark Rice
- Department of Anesthesiology, University of Florida, Gainesville, FL, USA
| | - Ann Horgas
- College of Nursing, University of Florida, Gainesville, FL, USA
| | - Mingzhou Ding
- Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA
| | - Catherine Price
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
- Department of Anesthesiology, University of Florida, Gainesville, FL, USA
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Chang S, Ong HL, Abdin E, Vaingankar JA, Jeyagurunathan A, Shafie S, Mahendran R, Subramaniam M, Chong SA. Head circumference, leg length and its association with dementia among older adult population in Singapore. Int J Geriatr Psychiatry 2017; 32:e1-e9. [PMID: 28052429 DOI: 10.1002/gps.4643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2016] [Revised: 10/27/2016] [Accepted: 11/16/2016] [Indexed: 11/11/2022]
Abstract
BACKGROUND Head circumference and leg length serve as reliable proxy indicators of early-life environment. Research studies have shown that these anthropometric measurements are associated with cognitive impairment and dementia among older adults. The aim of the present study was to assess the associations between dementia with head circumference and leg length among the older adult population in Singapore. This study also aimed to examine the sociodemographic correlates of these anthropometric measurements. METHODS Data were collected from 2565 older adults aged 60 years and above, in a population study on the Well-being of the Singapore Elderly. Head circumference and leg length measurements were obtained, and sociodemographic information was recorded. Dementia diagnosis was made using the 10/66 dementia algorithm. Anthropometric measurements were first stratified into quarters, and then logistic regression analysis was used to examine factors associated with head circumference and leg length, as well as to examine the association between dementia with these measurements. RESULTS Sociodemographic correlates of head circumference and leg length include age, gender, ethnicity and education level. Smaller head circumference was independently associated with higher odds of 10/66 dementia (OR = 2.173-2.709). When the regression analysis was stratified by gender, the association was found only in the male sample. Leg length was not significantly associated with dementia after controlling for sociodemographic variables. CONCLUSION Smaller head circumference is independently associated with dementia among older adults in Singapore. Findings from this study suggest that risk factors for dementia begin their influence in early life. Copyright © 2017 John Wiley & Sons, Ltd.
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Affiliation(s)
- Sherilyn Chang
- Research Division, Institute of Mental Health, Singapore
| | - Hui Lin Ong
- Research Division, Institute of Mental Health, Singapore
| | | | | | | | - Saleha Shafie
- Research Division, Institute of Mental Health, Singapore
| | - Rathi Mahendran
- Department of Psychological Medicine, National University Hospital, Singapore
| | | | - Siow Ann Chong
- Research Division, Institute of Mental Health, Singapore
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35
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Noh HM, Oh S, Song HJ, Lee EY, Jeong JY, Ryu OH, Hong KS, Kim DH. Relationships between cognitive function and body composition among community-dwelling older adults: a cross-sectional study. BMC Geriatr 2017; 17:259. [PMID: 29096612 PMCID: PMC5667483 DOI: 10.1186/s12877-017-0651-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2016] [Accepted: 10/22/2017] [Indexed: 11/16/2022] Open
Abstract
Background Previous studies reported mixed results regarding the association between cognition and body weight in late life. We evaluated the relationships between cognitive function and body composition among community-dwelling older adults. Methods Three hundred twenty subjects (≥65 years, women 53%) with available data of cognitive function and body composition from 2010 Hallym Aging Study. Cognitive function was assessed using Korean Mini-Mental State Examination (K-MMSE). Dual-energy X-ray absorptiometry (DEXA) was used for measuring body composition including body fat and lean body mass. Anthropometric measurements and laboratory data were collected in clinical examination. Body composition variables were divided into sex-specific tertiles, and examined by multivariable logistic regression. Results Among female, the highest tertile group of fat mass and second tertile group of total lean body mass were associated with lower risk for cognitive impairment compared to the respective first tertile groups (odds ratios, 0.23 and 0.09, respectively; 95% confidence intervals, 0.04–0.88 and 0.01–0.44, respectively) after adjusting for confounding factors. In male, higher arm bone mineral content was associated with lower risk for cognitive impairment, but significance was lost after adjusting for adiponectin, age, and education. Conclusions Higher fat mass and lean body mass were associated with lower risk of cognitive impairment in older women. These observations suggest that body fat and lean mass later in life might be beneficial for cognition. Electronic supplementary material The online version of this article (10.1186/s12877-017-0651-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Hye-Mi Noh
- Department of Family Medicine, Hallym University Sacred Heart Hospital, College of Medicine, Hallym University, Anyang, South Korea
| | - Sohee Oh
- Department of Biostatistics, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, South Korea
| | - Hong Ji Song
- Department of Family Medicine, Hallym University Sacred Heart Hospital, College of Medicine, Hallym University, Anyang, South Korea.
| | - Eun Young Lee
- Department of Family Medicine, Hallym University Sacred Heart Hospital, College of Medicine, Hallym University, Anyang, South Korea
| | - Jin-Young Jeong
- Hallym Research Institute of Clinical Epidemiology, Hallym University, Chuncheon, South Korea
| | - Ohk-Hyun Ryu
- Department of Endocrinology, Chuncheon Sacred Heart Hospital, College of Medicine, Hallym University, Chuncheon, South Korea
| | - Kyung-Soon Hong
- Department of Cardiology, Chuncheon Sacred Heart Hospital, College of Medicine, Hallym University, Chuncheon, South Korea
| | - Dong-Hyun Kim
- Department of Social and Preventive Medicine, Hallym University College of Medicine, Chuncheon, South Korea.
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Medaglia JD, Pasqualetti F, Hamilton RH, Thompson-Schill SL, Bassett DS. Brain and cognitive reserve: Translation via network control theory. Neurosci Biobehav Rev 2017; 75:53-64. [PMID: 28104411 PMCID: PMC5359115 DOI: 10.1016/j.neubiorev.2017.01.016] [Citation(s) in RCA: 79] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2016] [Revised: 01/10/2017] [Accepted: 01/11/2017] [Indexed: 01/01/2023]
Abstract
Traditional approaches to understanding the brain's resilience to neuropathology have identified neurophysiological variables, often described as brain or cognitive "reserve," associated with better outcomes. However, mechanisms of function and resilience in large-scale brain networks remain poorly understood. Dynamic network theory may provide a basis for substantive advances in understanding functional resilience in the human brain. In this perspective, we describe recent theoretical approaches from network control theory as a framework for investigating network level mechanisms underlying cognitive function and the dynamics of neuroplasticity in the human brain. We describe the theoretical opportunities offered by the application of network control theory at the level of the human connectome to understand cognitive resilience and inform translational intervention.
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Affiliation(s)
- John Dominic Medaglia
- Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Fabio Pasqualetti
- Department of Mechanical Engineering, University of California-Riverside, Riverside, CA 92521, United States
| | - Roy H Hamilton
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States
| | | | - Danielle S Bassett
- Department of Bioengineering, University of Pennsylvania, PA 19104, United States; Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA 19104, United States.
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Huo Y, Asman AJ, Plassard AJ, Landman BA. Simultaneous total intracranial volume and posterior fossa volume estimation using multi-atlas label fusion. Hum Brain Mapp 2016; 38:599-616. [PMID: 27726243 DOI: 10.1002/hbm.23432] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2016] [Revised: 08/02/2016] [Accepted: 10/01/2016] [Indexed: 01/09/2023] Open
Abstract
Total intracranial volume (TICV) is an essential covariate in brain volumetric analyses. The prevalent brain imaging software packages provide automatic TICV estimates. FreeSurfer and FSL estimate TICV using a scaling factor while SPM12 accumulates probabilities of brain tissues. None of the three provide explicit skull/CSF boundary (SCB) since it is challenging to distinguish these dark structures in a T1-weighted image. However, explicit SCB not only leads to a natural way of obtaining TICV (i.e., counting voxels inside the skull) but also allows sub-definition of TICV, for example, the posterior fossa volume (PFV). In this article, they proposed to use multi-atlas label fusion to obtain TICV and PFV simultaneously. The main contributions are: (1) TICV and PFV are simultaneously obtained with explicit SCB from a single T1-weighted image. (2) TICV and PFV labels are added to the widely used BrainCOLOR atlases. (3) Detailed mathematical derivation of non-local spatial STAPLE (NLSS) label fusion is presented. As the skull is clearly distinguished in CT images, we use a semi-manual procedure to obtain atlases with TICV and PFV labels using 20 subjects who both have a MR and CT scan. The proposed method provides simultaneous TICV and PFV estimation while achieving more accurate TICV estimation compared with FreeSurfer, FSL, SPM12, and the previously proposed STAPLE based approach. The newly developed TICV and PFV labels for the OASIS BrainCOLOR atlases provide acceptable performance, which enables simultaneous TICV and PFV estimation during whole brain segmentation. The NLSS method and the new atlases have been made freely available. Hum Brain Mapp 38:599-616, 2017. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Yuankai Huo
- Electrical Engineering, Vanderbilt University, Nashville, Tennessee
| | - Andrew J Asman
- Electrical Engineering, Vanderbilt University, Nashville, Tennessee
| | | | - Bennett A Landman
- Electrical Engineering, Vanderbilt University, Nashville, Tennessee.,Computer Science, Vanderbilt University, Nashville, Tennessee.,Biomedical Engineering, Vanderbilt University, Nashville, Tennessee.,Radiology and Radiological Sciences, Vanderbilt University, Nashville, Tennessee.,Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee
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Education is associated with sub-regions of the hippocampus and the amygdala vulnerable to neuropathologies of Alzheimer's disease. Brain Struct Funct 2016; 222:1469-1479. [PMID: 27535407 DOI: 10.1007/s00429-016-1287-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2015] [Accepted: 08/11/2016] [Indexed: 01/18/2023]
Abstract
We evaluated the correlation of educational attainment with structural volume and shape morphometry of the bilateral hippocampi and amygdalae in a sample of 110 non-demented, older adults at elevated sociodemographic risk for cognitive and functional declines. In both men and women, no significant education-volume correlation was detected for either structure. However, when performing shape analysis, we observed regionally specific associations with education after adjusting for age, intracranial volume, and race. By sub-dividing the hippocampus and the amygdala into compatible subregions, we found that education was positively associated with size variations in the CA1 and subiculum subregions of the hippocampus and the basolateral subregion of the amygdala (p < 0.05). In addition, we detected a greater left versus right asymmetric pattern in the shape-education correlation for the hippocampus but not the amygdala. This asymmetric association was largely observed in men versus women. These findings suggest that education in youth may exert direct and indirect influences on brain reserve in regions that are most vulnerable to the neuropathologies of aging, dementia, and specifically, Alzheimer disease.
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Nunnari D, De Cola MC, Costa A, Rifici C, Bramanti P, Marino S. Exploring cognitive reserve in multiple sclerosis: New findings from a cross-sectional study. J Clin Exp Neuropsychol 2016; 38:1158-67. [DOI: 10.1080/13803395.2016.1200538] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Large intracranial volume accelerates conversion to dementia in males and APOE4 non-carriers with mild cognitive impairment. Int Psychogeriatr 2016; 28:769-78. [PMID: 26674540 DOI: 10.1017/s104161021500229x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND It is unclear how brain reserve interacts with gender and apolipoprotein E4 (APOE4) genotype, and how this influences the progression of Alzheimer's disease (AD). The association between intracranial volume (ICV) and progression to AD in subjects with mild cognitive impairment (MCI), and differences according to gender and APOE4 genotype, was investigated. METHODS Data from subjects initially diagnosed with MCI and at least two visits were downloaded from the ADNI database. Those who progressed to AD were defined as converters. The longitudinal influence of ICV was determined by survival analysis. The time of conversion from MCI to AD was set as a fiducial point, as all converters would be at a similar disease stage then, and longitudinal trajectories of brain atrophy and cognitive decline around that point were compared using linear mixed models. RESULTS Large ICV increased the risk of conversion to AD in males (HR: 4.24, 95% confidence interval (CI): 1.17-15.40) and APOE4 non-carriers (HR: 10.00, 95% CI: 1.34-74.53), but not in females or APOE4 carriers. Cognitive decline and brain atrophy progressed at a faster rate in males with large ICV than in those with small ICV during the two years before and after the time of conversion. CONCLUSIONS Large ICV increased the risk of conversion to AD in males and APOE4 non-carriers with MCI. This may be due to its influence on disease trajectory, which shortens the duration of the MCI stage. A longitudinal model of progression trajectory is proposed.
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West RK, Ravona-Springer R, Heymann A, Schmeidler J, Leroith D, Koifman K, Guerrero-Berroa E, Preiss R, Hoffman H, Silverman JM, Beeri MS. Shorter adult height is associated with poorer cognitive performance in elderly men with type II diabetes. J Alzheimers Dis 2015; 44:927-35. [PMID: 25374105 DOI: 10.3233/jad-142049] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
We studied the relationship of adult body height with five cognitive outcomes (executive functioning, semantic categorization, attention/working memory, episodic memory, and an overall cognition measure) in 897 cognitively normal elderly with type 2 diabetes. Regression analyses controlling for sociodemographic, cardiovascular, and diabetes-related risk factors and depression demonstrated that in males, shorter stature was associated with poorer executive functioning (p = 0.001), attention/working memory (p = 0.007), and overall cognition (p = 0.016), but not with episodic memory (p = 0.715) or semantic categorization (p = 0.948). No relationship between height and cognition was found for females. In cognitively normal type 2 diabetes male subjects, shorter stature, a surrogate for early-life stress and poor nutrition, was associated with cognitive functions.
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Affiliation(s)
- Rebecca K West
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | | | - James Schmeidler
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Derek Leroith
- Division of Medicine, Endocrinology, Diabetes, and Bone Disease, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Keren Koifman
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Ramat Gan, Israel
| | | | - Rachel Preiss
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Ramat Gan, Israel
| | - Hadas Hoffman
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Ramat Gan, Israel
| | - Jeremy M Silverman
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA James J. Peters Veterans Affairs Medical Center, Bronx, NY, USA
| | - Michal Schnaider Beeri
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA The Joseph Sagol Neuroscience Center, Sheba Medical Center, Ramat Gan, Israel
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Jafari Z, Esmaili M, Toufan R, Aghamollaei M. Bilingual proficiency and cognitive reserve in Persian-English bilingual older adults. Aging Clin Exp Res 2015; 27:351-7. [PMID: 25365955 DOI: 10.1007/s40520-014-0288-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2014] [Accepted: 10/28/2014] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND AIMS More than genetic and physical influences, different environmental stimuli affect brain reserve, and bilingualism is one example. In this study, effect of bilingual proficiency on older adult's cognitive reserve was investigated. METHODS Persian and English versions of the Word Association Test were used among 26 educated older adults with a mean age of 67.52 years who became bilingual in Persian-English early in life. Lexical memory and Bergen dichotic listening tests were performed. RESULTS The bilingual proficiency score in all participants was within the range for early bilingualism. The Persian version of Word Association Test content validity index was 98.17 %. The inter-rater reliability for the Persian version of Word Association Test was 0.980, and that for the English version was 0.986. In addition, the intra-rater reliability for the Persian version was 0.857, and that for the English version was 0.954 (p < 0.001). There was significant correlation between the frequency of words expressed in the English Word Association Test and years for which English has been spoken as a second language (p ≤ 0.045). A significant correlation was observed between the bilingual proficiency score and lexical memory score (p < 0.043). Bilingual proficiency score also showed a significant correlation with the dichotic listening scores in all three non-forced, forced-right, and forced-left attention situations (p ≤ 0.045). CONCLUSIONS These results demonstrated the influence of bilingualism on shaping cognitive reserve in Persian-English bilingual older adults, representing linguistic experience-dependent neuroplasticity.
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Affiliation(s)
- Zahra Jafari
- Department of Basic Sciences in Rehabilitation, School of Rehabilitation Sciences, Iran University of Medical Sciences (IUMS), Nezam Alley, Shahnazari St, Mother Sq, Mirdamad Blvd, PO Box 15875-4391, Tehran, Iran,
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Association between brain volumes and HAND in cART-naïve HIV+ individuals from Thailand. J Neurovirol 2015; 21:105-12. [PMID: 25604494 DOI: 10.1007/s13365-014-0309-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2014] [Revised: 11/14/2014] [Accepted: 12/22/2014] [Indexed: 01/18/2023]
Abstract
This study aimed to determine the effects of human immunodeficiency virus (HIV) on brain structure in HIV-infected individuals with and without HIV-associated neurocognitive disorders (HAND). Twenty-nine HIV-uninfected controls, 37 HIV+, treatment-naïve, individuals with HAND (HIV+HAND+; 16 asymptomatic neurocognitive impairment (ANI), 12 mild neurocognitive disorder (MND), and 9 HIV-associated dementia HAD), and 37 HIV+, treatment-naïve, individuals with normal cognitive function (HIV+HAND-) underwent magnetic resonance imaging (MRI) and neuropsychological assessment. The HIV-infected participants had a mean (SD) age of 35 (7) years, mean (interquartile range (IQR)) CD4 count of 221 (83-324), and mean (IQR) log10 plasma viral load of 4.81 (4.39-5.48). Six regions of interest were selected for analyses including total and subcortical gray matter, total white matter, caudate, corpus callosum, and thalamus. The HIV+/HAND+ group exhibited significantly smaller brain volumes compared to the HIV-uninfected group in subcortical gray and total gray matter; however, there were no statistically significant differences in brain volumes between the HIV+HAND+ and HIV+HAND- groups or between HIV+/HAND- and controls. CD4 count at time of combination antiretroviral therapy (cART) initiation was associated with total and subcortical gray matter volumes but not with cognitive measures. Plasma viral load correlated with neuropsychological performance but not brain volumes. The lack of significant differences in brain volumes between HIV+HAND+ and HIV+HAND- suggests that brain atrophy is not a sensitive measure of HAND in subjects without advanced immunosuppression. Alternatively, current HAND diagnostic criteria may not sufficiently distinguish patients based on MRI measures of brain volumes.
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Abstract
Abstract:Introduction:In parallel with robust efforts world-wide to develop effective neuroprotection for established disease, resources are being mobilized to delineate risk factors and implement preventive measures in a concerted effort to forestall the anticipated Alzheimer disease (AD) epidemic. A review of heritable and ‘acquired’ dementia risk factors, many operating at midlife, is presented in a companion paper.Objectives:In 2009, an Alzheimer Risk Assessment Clinic (ARAC) was established at the Jewish General Hospital (Montreal) to address the concerns increasingly being voiced by active middle-aged individuals at risk for AD. A positive family history of AD and/or perceived changes in personal cognitive function (predominantly short-term memory) are main reasons for referral. The primary objectives of ARAC are to (i) ascertain, inform and mitigate the risks of developing AD in cognitively-healthy persons aged 40-65 based on best available medical and epidemiological evidence, (ii) conduct scientific research on midlife dementia risk and prevention in this population and (iii) provide instruction in dementia risk assessment and management to health professionals, clinical/research fellows, medical residents and students. ARAC infrastructure, evaluation protocol, risk profile classification scheme, interventions, knowledge dissemination program, case vignettes, and seminal research projects are described.Conclusions:It is hoped that ARAC and similar initiatives will help prevent or delay dementia by innovating effective interventions based on increasingly nuanced estimation of modifiable AD risk in presymptomatic persons.
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Brewster PWH, Melrose RJ, Marquine MJ, Johnson JK, Napoles A, MacKay-Brandt A, Farias S, Reed B, Mungas D. Life experience and demographic influences on cognitive function in older adults. Neuropsychology 2014; 28:846-58. [PMID: 24933483 PMCID: PMC4227962 DOI: 10.1037/neu0000098] [Citation(s) in RCA: 76] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
OBJECTIVE We examined the influence of a broad spectrum of life experiences on longitudinal cognitive trajectories in a demographically diverse sample of older adults. METHOD Participants were 333 educationally, ethnically, and cognitively diverse older adults enrolled in a longitudinal aging study. Mixed-effects regression was used to measure baseline status in episodic memory, executive functioning, and semantic memory and change in a global cognition factor defined by change in these 3 domain-specific measures. We examined effects of life experience variables (literacy, childhood socioeconomic status, morphometric measures of physical development, life course physical and recreational activity) on longitudinal cognitive trajectories, covarying for age, apolipoprotein E (APOE) genotype and demographics (education, ethnicity, language). RESULTS Non-Latino Whites had higher baseline cognition, but life experience variables attenuated ethnic differences in cognitive scores. Age, literacy, childhood socioeconomic status, and physical activity significantly influenced baseline cognition. Age, APOE ε4, and decline in intellectually and socially stimulating recreational activity from mid to late life were independently associated with increased late life cognitive decline. Higher literacy and late life recreational activity were associated with less decline. Literacy had similar effects for English and Spanish readers/speakers. Bilingual English and Spanish speakers did not differ from English Speakers in cognitive performance. CONCLUSIONS Life experience variables, especially literacy level, were strongly related to baseline cognition and substantially attenuated effects of race/ethnicity and education. Cognitive change was best explained by age, APOE ε4, literacy, and current recreational activities. Literacy had robust associations with baseline cognition and cognitive change in both English and Spanish speakers.
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Affiliation(s)
| | - Rebecca J Melrose
- Brain, Behavior, and Aging Research Center, VA Greater Los Angeles Healthcare System
| | | | | | - Anna Napoles
- Center for Aging in Diverse Communities, Department of Medicine, University of California
| | - Anna MacKay-Brandt
- Department of Outpatient Research, Nathan Kline Institute for Psychiatric Research
| | | | - Bruce Reed
- Department of Neurology, School of Medicine
| | - Dan Mungas
- Department of Neurology, School of Medicine
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Voevodskaya O, Simmons A, Nordenskjöld R, Kullberg J, Ahlström H, Lind L, Wahlund LO, Larsson EM, Westman E. The effects of intracranial volume adjustment approaches on multiple regional MRI volumes in healthy aging and Alzheimer's disease. Front Aging Neurosci 2014; 6:264. [PMID: 25339897 PMCID: PMC4188138 DOI: 10.3389/fnagi.2014.00264] [Citation(s) in RCA: 238] [Impact Index Per Article: 23.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2014] [Accepted: 09/12/2014] [Indexed: 11/13/2022] Open
Abstract
In neurodegeneration research, normalization of regional volumes by intracranial volume (ICV) is important to estimate the extent of disease-driven atrophy. There is little agreement as to whether raw volumes, volume-to-ICV fractions or regional volumes from which the ICV factor has been regressed out should be used for volumetric brain imaging studies. Using multiple regional cortical and subcortical volumetric measures generated by Freesurfer (51 in total), the main aim of this study was to elucidate the implications of these adjustment approaches. Magnetic resonance imaging (MRI) data were analyzed from two large cohorts, the population-based PIVUS cohort (N = 406, all subjects age 75) and the Alzheimer disease Neuroimaging Initiative (ADNI) cohort (N = 724). Further, we studied whether the chosen ICV normalization approach influenced the relationship between hippocampus and cognition in the three diagnostic groups of the ADNI cohort (Alzheimer's disease, mild cognitive impairment, and healthy individuals). The ability of raw vs. adjusted hippocampal volumes to predict diagnostic status was also assessed. In both cohorts raw volumes correlate positively with ICV, but do not scale directly proportionally with it. The correlation direction is reversed for all volume-to-ICV fractions, except the lateral and third ventricles. Most gray matter fractions are larger in females, while lateral ventricle fractions are greater in males. Residual correction effectively eliminated the correlation between the regional volumes and ICV and removed gender differences. The association between hippocampal volumes and cognition was not altered by ICV normalization. Comparing prediction of diagnostic status using the different approaches, small but significant differences were found. The choice of normalization approach should be carefully considered when designing a volumetric brain imaging study.
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Affiliation(s)
- Olga Voevodskaya
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet Stockholm, Sweden
| | - Andrew Simmons
- Department of Neuroimaging, Institute of Psychiatry, King's College London London, UK ; NIHR Biomedical Research Centre for Mental Health and NIHR Biomedical Research Unit for Dementia London, UK
| | | | - Joel Kullberg
- Department of Radiology, Uppsala University Uppsala, Sweden
| | - Håkan Ahlström
- Department of Radiology, Uppsala University Uppsala, Sweden
| | - Lars Lind
- Department of Medical Sciences, Uppsala University Uppsala, Sweden
| | - Lars-Olof Wahlund
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet Stockholm, Sweden
| | | | - Eric Westman
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet Stockholm, Sweden
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Malone IB, Leung KK, Clegg S, Barnes J, Whitwell JL, Ashburner J, Fox NC, Ridgway GR. Accurate automatic estimation of total intracranial volume: a nuisance variable with less nuisance. Neuroimage 2014; 104:366-72. [PMID: 25255942 PMCID: PMC4265726 DOI: 10.1016/j.neuroimage.2014.09.034] [Citation(s) in RCA: 308] [Impact Index Per Article: 30.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2014] [Revised: 08/27/2014] [Accepted: 09/15/2014] [Indexed: 12/21/2022] Open
Abstract
Total intracranial volume (TIV/ICV) is an important covariate for volumetric analyses of the brain and brain regions, especially in the study of neurodegenerative diseases, where it can provide a proxy of maximum pre-morbid brain volume. The gold-standard method is manual delineation of brain scans, but this requires careful work by trained operators. We evaluated Statistical Parametric Mapping 12 (SPM12) automated segmentation for TIV measurement in place of manual segmentation and also compared it with SPM8 and FreeSurfer 5.3.0. For T1-weighted MRI acquired from 288 participants in a multi-centre clinical trial in Alzheimer's disease we find a high correlation between SPM12 TIV and manual TIV (R2 = 0.940, 95% Confidence Interval (0.924, 0.953)), with a small mean difference (SPM12 40.4 ± 35.4 ml lower than manual, amounting to 2.8% of the overall mean TIV in the study). The correlation with manual measurements (the key aspect when using TIV as a covariate) for SPM12 was significantly higher (p < 0.001) than for either SPM8 (R2 = 0.577 CI (0.500, 0.644)) or FreeSurfer (R2 = 0.801 CI (0.744, 0.843)). These results suggest that SPM12 TIV estimates are an acceptable substitute for labour-intensive manual estimates even in the challenging context of multiple centres and the presence of neurodegenerative pathology. We also briefly discuss some aspects of the statistical modelling approaches to adjust for TIV. 288 T1 MRI from multiple scanners were manually segmented for intracranial volume. We compare SPM12 with the current methods of estimating intracranial volume. SPM12 shows a very high correlation with manual measures and little bias. Newer automated volume measures are more accurate controls for head size variation.
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Affiliation(s)
- Ian B Malone
- Dementia Research Centre (DRC), Institute of Neurology, University College London, Queen Square, London WC1N 3BG, UK.
| | - Kelvin K Leung
- Dementia Research Centre (DRC), Institute of Neurology, University College London, Queen Square, London WC1N 3BG, UK
| | - Shona Clegg
- Dementia Research Centre (DRC), Institute of Neurology, University College London, Queen Square, London WC1N 3BG, UK
| | - Josephine Barnes
- Dementia Research Centre (DRC), Institute of Neurology, University College London, Queen Square, London WC1N 3BG, UK
| | - Jennifer L Whitwell
- Department of Radiology, Mayo School of Graduate Medical Education, 200 1st St. SW., Rochester, MN 55905, USA
| | - John Ashburner
- Wellcome Trust Centre for Neuroimaging, 12 Queen Square, London WC1N 3BG, UK
| | - Nick C Fox
- Dementia Research Centre (DRC), Institute of Neurology, University College London, Queen Square, London WC1N 3BG, UK
| | - Gerard R Ridgway
- Wellcome Trust Centre for Neuroimaging, 12 Queen Square, London WC1N 3BG, UK; FMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford OX3 9DU, UK
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Muller M, Sigurdsson S, Kjartansson O, Jonsson PV, Garcia M, von Bonsdorff MB, Gunnarsdottir I, Thorsdottir I, Harris TB, van Buchem M, Gudnason V, Launer LJ. Birth size and brain function 75 years later. Pediatrics 2014; 134:761-70. [PMID: 25180277 PMCID: PMC4179101 DOI: 10.1542/peds.2014-1108] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND There are several lines of evidence pointing to fetal and other early origins of diseases of the aging brain, but there are no data directly addressing the hypotheses in an older population. We investigated the association of fetal size to late-age measures of brain structure and function in a large cohort of older men and women and explored the modifying effect of education on these associations. METHODS Within the AGES (Age Gene/Environment Susceptibility)-Reykjavik population-based cohort (born between 1907 and 1935), archived birth records were abstracted for 1254 men and women who ∼75 years later underwent an examination that included brain MRI and extensive cognitive assessment. RESULTS Adjustment for intracranial volume, demographic and medical history characteristics, and lower Ponderal index at birth (per kg/m(3)), an indicator of third-trimester fetal wasting, was significantly associated with smaller volumes of total brain and white matter; βs (95% confidence intervals) were -1.0 (-1.9 to -0.0) and -0.5 (-1.0 to -0.0) mL. Furthermore, lower Ponderal index was associated with slower processing speed and reduced executive functioning but only in those with low education (β [95% confidence interval]: -0.136 [-0.235 to -0.036] and -0.077 [-0.153 to -0.001]). CONCLUSIONS This first study of its kind provides clinical measures suggesting that smaller birth size, as an indicator of a suboptimal intrauterine environment, is associated with late-life alterations in brain tissue volume and function. In addition, it shows that the effects of a suboptimal intrauterine environment on late-life cognitive function were present only in those with lower educational levels.
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Affiliation(s)
- Majon Muller
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute on Aging, Bethesda, Maryland;,Departments of Gerontology and Geriatrics, and
| | | | - Olafur Kjartansson
- The Icelandic Heart Association, Kopavogur, Iceland;,Departments of Neurology and Radiology, and
| | - Palmi V. Jonsson
- The Icelandic Heart Association, Kopavogur, Iceland;,Department of Geriatrics, and
| | - Melissa Garcia
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute on Aging, Bethesda, Maryland
| | - Mikaela B. von Bonsdorff
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute on Aging, Bethesda, Maryland;,Department of Health Sciences, Gerontology Research Centre, University of Jyväskylä, Jyväskylä, Finland
| | | | - Inga Thorsdottir
- Unit for Nutrition Research, Landspitali University Hospital, Reykjavik, Iceland
| | - Tamara B. Harris
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute on Aging, Bethesda, Maryland
| | - Mark van Buchem
- Radiology, Leiden University Medical Center, Leiden, Netherlands
| | | | - Lenore J. Launer
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute on Aging, Bethesda, Maryland
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49
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Morbelli S, Nobili F. Cognitive reserve and clinical expression of Alzheimer's disease: evidence and implications for brain PET imaging. AMERICAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 2014; 4:239-247. [PMID: 24795838 PMCID: PMC3999404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 01/16/2014] [Accepted: 02/07/2014] [Indexed: 06/03/2023]
Abstract
Cognitive reserve (CR) refers to the hypothesized capacity of an adult brain to cope with brain damage in order to minimize symptomatology. The present review is focused on the contribution of brain PET in the understanding of the influence of CR on the disassociation between cognition and degree of Alzheimer's disease (AD) pathology. Theories for the explanation CR-related mechanism as well as PET imaging evidence for the existence of CR are described. Moreover functional imaging studies investigating specific networks for CR both in healthy subjects and AD patients are discussed. Finally implications for amyloid PET imaging are presented.
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Affiliation(s)
- Silvia Morbelli
- Nuclear Medicine Unit, Department of Health Sciences, University; IRCCS AOU San Martino – IST, University of Genoa, Largo R. Benzi, 1016132 Genoa, Italy
| | - Flavio Nobili
- Clinical Neurology, Department of Neurosciences, Ophthalmology, Genetics and Child-Mother Health (DINOGMI), University; IRCCS AOU San Martino – IST, University of Genoa, Largo R. Benzi, 1016132 Genoa, Italy
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50
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Abstract
Cognitive impairment is common among persons with multiple sclerosis (MS), but some patients are able to withstand considerable disease burden (e.g. white matter lesions, cerebral atrophy) without cognitive impairment (cognitive inefficiency, memory decline). What protects these patients from cognitive impairment? We review the literature on cognitive reserve in MS, which shows that heritable (larger maximal lifetime brain growth) and environmental (greater intellectual enrichment) factors attenuate the negative effect of disease burden on cognitive status. That is, persons with larger maximal lifetime brain growth, greater vocabulary knowledge, and/or greater early life participation in cognitive leisure activities (e.g. reading, hobbies) are better able to cope with MS disease without cognitive impairment. We review evidence that benefits of intellectual enrichment on cognitive status may stem from more efficient patterns of brain function. We discuss clinical implications and highlight important unanswered questions for future research on reserve against cognitive impairment in MS.
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Affiliation(s)
- James F Sumowski
- Kessler Foundation Research Center, USA, and Rutgers, New Jersey Medical School, USA.
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