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Sikjaer T, Eskildsen SF, Underbjerg L, Østergaard L, Rejnmark L, Evald L. Hypoparathyroidism: changes in brain structure, cognitive impairment, and reduced quality of life. J Bone Miner Res 2024; 39:855-866. [PMID: 38648280 DOI: 10.1093/jbmr/zjae063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 10/29/2023] [Accepted: 04/20/2024] [Indexed: 04/25/2024]
Abstract
Hypoparathyroidism (HypoPT) is a disease with no/or inadequate production/secretion of parathyroid hormone (PTH) from the parathyroid glands. Low levels of PTH result in hypocalcemia, which is often treated with calcium supplementation and active vitamin-D analogs. However, increasing evidence suggests that HypoPT has a profound impact on several organ systems. Quality of life (QOL) is reduced in patients with HypoPT, partly due to symptoms related to the central nervous system-including subjective feelings of confusion, a reduced ability to focus and think clearly (ie, "brain fog"). However, the extent to which these complex symptoms relate to quantifiable changes in patients' cognitive performance as determined by neuropsychological tests remains unclear. The brains of HypoPT patients may reveal tissue calcifications, but the extent to which long-term brain exposure to low PTH levels and/or changing calcium levels affects brain structure is unknown. In a cross-sectional study, we investigated PTH levels, QOL, cognitive impairment, and brain structure in well-treated post-surgical and non-surgical hypoparathyroid patients compared with healthy controls. QOL was quantified by the SF36v2, WHO-5 wellbeing Index, and two disease-specific questionnaires-the HPQ28 and Hypoparathyroidism Symptom Diary. Cognitive functions were tested using comprehensive neuropsychological. Brain structure was quantified by morphological analyses of magnetic resonance imaging images. We found reduced QOL and cognitive functioning in terms of processing speed, executive functions, visual memory, and auditory memory in HypoPT. Furthermore, HypoPT revealed a reduced volume of the hippocampus-and the size of the thalamus in postsurgical patients was associated with the disease duration. Importantly, patients reporting severe brain fog had a smaller hippocampus than those with less brainfog. HypoPT is associated with quantifiable cognitive deficits and changes in brain structure that align with patient symptoms. Our exploratory study warrants further studies of the neurobiological impact of PTH and of the impact of PTH replacements therapy on patients' cognitive functioning.
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Affiliation(s)
- Tanja Sikjaer
- Department of Internal Medicine, Horsens Regional Hospital, 8700 Horsens, Denmark
- Department of Endocrinology and Internal Medicine, Aarhus University Hospital, 8000 Aarhus, Denmark
| | - Simon Fristed Eskildsen
- Center of Functionally Integrative Neuroscience (CFIN), Aarhus University 8000 Aarhus, Denmark
| | - Line Underbjerg
- Department of Endocrinology and Internal Medicine, Aarhus University Hospital, 8000 Aarhus, Denmark
| | - Leif Østergaard
- Center of Functionally Integrative Neuroscience (CFIN), Aarhus University 8000 Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, 8000 Aarhus, Denmark
- Department of Neuroradiology, Aarhus University Hospital, 8000 Aarhus, Denmark
| | - Lars Rejnmark
- Department of Endocrinology and Internal Medicine, Aarhus University Hospital, 8000 Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, 8000 Aarhus, Denmark
| | - Lars Evald
- Department of Clinical Medicine, Aarhus University, 8000 Aarhus, Denmark
- Hammel Neurorehabilitation Centre and University Research Clinic, 8450 Hammel, Denmark
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ÇAVUŞOĞLU B, HÜNERLİ D, EMEK SAVAŞ DD, YENER G, ADA E. Patterns of longitudinal subcortical atrophy over one year in amnestic mild cognitive impairment and its impact on cognitive performance: a preliminary study. Turk J Med Sci 2024; 54:588-597. [PMID: 39049994 PMCID: PMC11265849 DOI: 10.55730/1300-0144.5826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Revised: 06/12/2024] [Accepted: 03/11/2024] [Indexed: 07/27/2024] Open
Abstract
Background/aim Amnestic mild cognitive impairment (aMCI) is a risk factor for dementia, and thus, it is of interest to enlighten specific brain atrophy patterns in aMCI patients. We aim to define the longitudinal atrophy pattern in subcortical structures and its effect on cognition in patients with aMCI. Materials and methods Twenty patients with aMCI and 20 demographically matched healthy controls with baseline and longitudinal structural magnetic resonance imaging scans and neuropsychological assessments were studied. The algorithm FIRST (FMRIB's integrated registration and segmentation tool) was used to obtain volumes of subcortical structures (thalamus, putamen, caudate nucleus, nucleus accumbens, globus pallidus, hippocampus, and amygdala). Correlations between volumes and cognitive performance were assessed. Results Compared with healthy controls, aMCI demonstrated subcortical atrophies in the hippocampus (p = 0.001), nucleus accumbens (p = 0.003), and thalamus (p = 0.003) at baseline. Significant associations were found for the baseline volumes of the thalamus, nucleus accumbens, and hippocampus with memory, the thalamus with visuospatial skills. Conclusion aMCI demonstrated subcortical atrophies associated with cognitive deficits. The thalamus, nucleus accumbens, and hippocampus may provide additional diagnostic information for aMCI.
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Affiliation(s)
- Berrin ÇAVUŞOĞLU
- Department of Medical Physics, Institute of Health Sciences, Dokuz Eylül University, İzmir,
Turkiye
| | - Duygu HÜNERLİ
- Department of Neuroscience, Institute of Health Sciences, Dokuz Eylül University, İzmir,
Turkiye
| | | | - Görsev YENER
- Department of Neuroscience, Institute of Health Sciences, Dokuz Eylül University, İzmir,
Turkiye
- Faculty of Medicine, İzmir University of Economics, İzmir,
Turkiye
- İzmir International Biomedicine and Genome Institute, İzmir,
Turkiye
| | - Emel ADA
- Department of Radiology, Faculty of Medicine, Dokuz Eylül University, İzmir,
Turkiye
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Hwang H, Kim SE, Lee HJ, Lee DA, Park KM. Identification of amnestic mild cognitive impairment by structural and functional MRI using a machine-learning approach. Clin Neurol Neurosurg 2024; 238:108177. [PMID: 38402707 DOI: 10.1016/j.clineuro.2024.108177] [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: 06/15/2022] [Revised: 02/13/2024] [Accepted: 02/14/2024] [Indexed: 02/27/2024]
Abstract
OBJECTIVE The importance of early treatment for mild cognitive impairment (MCI) has been extensively shown. However, classifying patients presenting with memory complaints in clinical practice as having MCI vs normal results is difficult. Herein, we assessed the feasibility of applying a machine learning approach based on structural volumes and functional connectomic profiles to classify the cognitive levels of cognitively unimpaired (CU) and amnestic MCI (aMCI) groups. We further applied the same method to distinguish aMCI patients with a single memory impairment from those with multiple memory impairments. METHODS Fifty patients with aMCI were enrolled and classified as having either verbal or visual-aMCI (verbal or visual memory impairment), or both aMCI (verbal and visual memory impairments) based on memory test results. In addition, 26 CU patients were enrolled in the control group. All patients underwent structural T1-weighted magnetic resonance imaging (MRI) and resting-state functional MRI. We obtained structural volumes and functional connectomic profiles from structural and functional MRI, respectively, using graph theory. A support vector machine (SVM) algorithm was employed, and k-fold cross-validation was performed to discriminate between groups. RESULTS The SVM classifier based on structural volumes revealed an accuracy of 88.9% at classifying the cognitive levels of patients with CU and aMCI. However, when the structural volumes and functional connectomic profiles were combined, the accuracy increased to 92.9%. In the classification of verbal or visual-aMCI (n = 22) versus both aMCI (n = 28), the SVM classifier based on structural volumes revealed a low accuracy of 36.7%. However, when the structural volumes and functional connectomic profiles were combined, the accuracy increased to 53.1%. CONCLUSION Structural volumes and functional connectomic profiles obtained using a machine learning approach can be used to classify cognitive levels to distinguish between aMCI and CU patients. In addition, combining the functional connectomic profiles with structural volumes results in a better classification performance than the use of structural volumes alone for identifying both "aMCI versus CU" and "verbal- or visual-aMCI versus both aMCI" patients.
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Affiliation(s)
- Hyunyoung Hwang
- Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Si Eun Kim
- Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Ho-Joon Lee
- Department of Radiology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Dong Ah Lee
- Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Kang Min Park
- Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea.
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Zhang X, Yuan T, Chen X, Liu X, Hu J, Liu Z. Effects of DHA on cognitive dysfunction in aging and Alzheimer's disease: The mediating roles of ApoE. Prog Lipid Res 2024; 93:101256. [PMID: 37890592 DOI: 10.1016/j.plipres.2023.101256] [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: 07/25/2023] [Revised: 10/22/2023] [Accepted: 10/23/2023] [Indexed: 10/29/2023]
Abstract
The prevalence of Alzheimer's disease (AD) continues to rise due to the increasing aging population. Among the various genetic factors associated with AD, apolipoprotein E (ApoE), a lipid transporter, stands out as the primary genetic risk factor. Specifically, individuals carrying the ApoE4 allele exhibit a significantly higher risk. However, emerging research indicates that dietary factors play a prominent role in modifying the risk of AD. Docosahexaenoic acid (DHA), a prominent ω-3 fatty acid, has garnered considerable attention for its potential to ameliorate cognitive function. The intricate interplay between DHA and the ApoE genotype within the brain, which may influence DHA's utilization and functionality, warrants further investigation. This review meticulously examines experimental and clinical studies exploring the effects of DHA on cognitive decline. Special emphasis is placed on elucidating the role of ApoE gene polymorphism and the underlying mechanisms are discussed. These studies suggest that early DHA supplementation may confer benefits to cognitively normal older adults carrying the ApoE4 gene. However, once AD develops, ApoE4 non-carriers may experience greater benefits compared to ApoE4 carriers, although the overall effectiveness of DHA supplementation at this stage is limited. Potential mechanisms underlying these differential effects may include accelerated DHA catabolism in ApoE4 carriers, impaired transport across the blood-brain barrier (BBB), and compromised lipidation and circulatory function in ApoE4 carriers. Thus, the supplementation of DHA may represent a potential intervention strategy aimed at compensating for these deficiencies in ApoE4 carriers prior to the onset of AD.
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Affiliation(s)
- Xin Zhang
- Laboratory of Functional Chemistry and Nutrition of Food, College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Tian Yuan
- Shaanxi Key Laboratory of Natural Products & Chemical Biology, College of Chemistry & Pharmacy, Northwest A&F University, Yangling, Shaanxi 712100, China; Northwest A&F University Shenzhen Research Institute, Shenzhen, Guangdong 518000, China
| | - Xuhui Chen
- Department of Neurology, Peking University Shenzhen Hospital, Shenzhen, Guangdong 518036, China
| | - Xuebo Liu
- Laboratory of Functional Chemistry and Nutrition of Food, College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Jun Hu
- Department of Neurology, Peking University Shenzhen Hospital, Shenzhen, Guangdong 518036, China.
| | - Zhigang Liu
- Laboratory of Functional Chemistry and Nutrition of Food, College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China; Northwest A&F University Shenzhen Research Institute, Shenzhen, Guangdong 518000, China; Dongguan Chuangwei Precision Nutrition and Health Innovation Center, Dongguan, Guangdong 523170, China; Shaanxi Precision Nutrition and Health Research Institute, Xi'an, Shaanxi 710300, China.
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Romano A, Troisi Lopez E, Cipriano L, Liparoti M, Minino R, Polverino A, Cavaliere C, Aiello M, Granata C, Sorrentino G, Sorrentino P. Topological changes of fast large-scale brain dynamics in mild cognitive impairment predict early memory impairment: a resting-state, source reconstructed, magnetoencephalography study. Neurobiol Aging 2023; 132:36-46. [PMID: 37717553 DOI: 10.1016/j.neurobiolaging.2023.08.003] [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: 11/22/2022] [Revised: 08/08/2023] [Accepted: 08/10/2023] [Indexed: 09/19/2023]
Abstract
Functional connectivity has been used as a framework to investigate widespread brain interactions underlying cognitive deficits in mild cognitive impairment (MCI). However, many functional connectivity metrics focus on the average of the periodic activities, disregarding the aperiodic bursts of activity (i.e., the neuronal avalanches) characterizing the large-scale dynamic activities of the brain. Here, we apply the recently described avalanche transition matrix framework to source-reconstructed magnetoencephalography signals in a cohort of 32 MCI patients and 32 healthy controls to describe the spatio-temporal features of neuronal avalanches and explore their topological properties. Our results showed that MCI patients showed a more centralized network (as assessed by higher values of the degree divergence and leaf fraction) as compared to healthy controls. Furthermore, we found that the degree divergence (in the theta band) was predictive of hippocampal memory impairment. These findings highlight the role of the changes of aperiodic bursts in clinical conditions and may contribute to a more thorough phenotypical assessment of patients.
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Affiliation(s)
- Antonella Romano
- Department of Motor and Wellness Sciences, University of Naples "Parthenope", Naples, Italy
| | - Emahnuel Troisi Lopez
- Department of Motor and Wellness Sciences, University of Naples "Parthenope", Naples, Italy
| | - Lorenzo Cipriano
- Department of Motor and Wellness Sciences, University of Naples "Parthenope", Naples, Italy
| | - Marianna Liparoti
- Department of Developmental and Social Psychology, University of Rome "La Sapienza", Rome, Italy
| | - Roberta Minino
- Department of Motor and Wellness Sciences, University of Naples "Parthenope", Naples, Italy
| | - Arianna Polverino
- Institute of Diagnosis and Treatment, Hermitage Capodimonte, Naples, Italy
| | - Carlo Cavaliere
- IRCCS SYNLAB-SDN, Naples Via Emanuele Gianturco, Naples, Italy
| | - Marco Aiello
- IRCCS SYNLAB-SDN, Naples Via Emanuele Gianturco, Naples, Italy
| | - Carmine Granata
- Institute of Applied Sciences and Intelligent Systems, National Research Council, Pozzuoli, Italy
| | - Giuseppe Sorrentino
- Department of Motor and Wellness Sciences, University of Naples "Parthenope", Naples, Italy; Institute of Diagnosis and Treatment, Hermitage Capodimonte, Naples, Italy; Institute of Applied Sciences and Intelligent Systems, National Research Council, Pozzuoli, Italy.
| | - Pierpaolo Sorrentino
- Institute of Applied Sciences and Intelligent Systems, National Research Council, Pozzuoli, Italy; Institut de Neurosciences des Systèmes, Inserm, INS, Aix-Marseille University, Marseille, France
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Quek YE, Bourgeat P, Fung YL, Vogrin SJ, Collins SJ, Bowden SC. Validating ASHS-T1 automated entorhinal and transentorhinal cortical segmentation in Alzheimer's disease. Psychiatry Res Neuroimaging 2023; 335:111707. [PMID: 37639979 DOI: 10.1016/j.pscychresns.2023.111707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 07/25/2023] [Accepted: 08/09/2023] [Indexed: 08/31/2023]
Abstract
The current study aimed to validate entorhinal and transentorhinal cortical volumes measured by the automated segmentation tool Automatic Segmentation of Hippocampal Subfields (ASHS-T1). The study sample comprised 34 healthy controls (HCs), 37 individuals with amnestic mild cognitive impairment (aMCI), and 29 individuals with Alzheimer's disease (AD) dementia from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. Entorhinal and transentorhinal cortical volumes were assessed using ASHS-T1, manual segmentation, as well as a widely used automated segmentation tool, FreeSurfer v6.0.1. Mean differences, intraclass correlation coefficients, and Bland-Altman plots were computed. ASHS-T1 tended to underestimate entorhinal and transentorhinal cortical volumes relative to manual segmentation and FreeSurfer. There was variable consistency and low agreement between ASHS-T1 and manual segmentation volumes. There was low-to-moderate consistency and low agreement between ASHS-T1 and FreeSurfer volumes. There was a trend toward higher consistency and agreement for the entorhinal cortex in the aMCI and AD groups compared to the HC group. Despite the differences in volume measurements, ASHS-T1 was sensitive to entorhinal and transentorhinal cortical atrophy in both early and late disease stages. Based on the current study, ASHS-T1 appears to be a promising tool for automated entorhinal and transentorhinal cortical volume measurement in individuals with likely underlying AD.
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Affiliation(s)
- Yi-En Quek
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Victoria, Australia.
| | - Pierrick Bourgeat
- The Australian e-Health Research Centre, CSIRO Health and Biosecurity, Brisbane, Queensland, Australia
| | - Yi Leng Fung
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Victoria, Australia
| | - Simon J Vogrin
- Department of Clinical Neurosciences, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
| | - Steven J Collins
- Department of Clinical Neurosciences, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia; Department of Medicine (RMH), The University of Melbourne, Parkville, Victoria, Australia
| | - Stephen C Bowden
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Victoria, Australia; Department of Clinical Neurosciences, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
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Teipel SJ, Dyrba M, Levin F, Altenstein S, Berger M, Beyle A, Brosseron F, Buerger K, Burow L, Dobisch L, Ewers M, Fliessbach K, Frommann I, Glanz W, Goerss D, Gref D, Hansen N, Heneka MT, Incesoy EI, Janowitz D, Keles D, Kilimann I, Laske C, Lohse A, Munk MH, Perneczky R, Peters O, Preis L, Priller J, Rostamzadeh A, Roy N, Schmid M, Schneider A, Spottke A, Spruth EJ, Wiltfang J, Düzel E, Jessen F, Kleineidam L, Wagner M. Cognitive Trajectories in Preclinical and Prodromal Alzheimer's Disease Related to Amyloid Status and Brain Atrophy: A Bayesian Approach. J Alzheimers Dis Rep 2023; 7:1055-1076. [PMID: 37849637 PMCID: PMC10578328 DOI: 10.3233/adr-230027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 08/22/2023] [Indexed: 10/19/2023] Open
Abstract
Background Cognitive decline is a key outcome of clinical studies in Alzheimer's disease (AD). Objective To determine effects of global amyloid load as well as hippocampus and basal forebrain volumes on longitudinal rates and practice effects from repeated testing of domain specific cognitive change in the AD spectrum, considering non-linear effects and heterogeneity across cohorts. Methods We included 1,514 cases from three cohorts, ADNI, AIBL, and DELCODE, spanning the range from cognitively normal people to people with subjective cognitive decline and mild cognitive impairment (MCI). We used generalized Bayesian mixed effects analysis of linear and polynomial models of amyloid and volume effects in time. Robustness of effects across cohorts was determined using Bayesian random effects meta-analysis. Results We found a consistent effect of amyloid and hippocampus volume, but not of basal forebrain volume, on rates of memory change across the three cohorts in the meta-analysis. Effects for amyloid and volumetric markers on executive function were more heterogeneous. We found practice effects in memory and executive performance in amyloid negative cognitively normal controls and MCI cases, but only to a smaller degree in amyloid positive controls and not at all in amyloid positive MCI cases. Conclusions We found heterogeneity between cohorts, particularly in effects on executive functions. Initial increases in cognitive performance in amyloid negative, but not in amyloid positive MCI cases and controls may reflect practice effects from repeated testing that are lost with higher levels of cerebral amyloid.
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Affiliation(s)
- Stefan J Teipel
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
- Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
| | - Martin Dyrba
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
| | - Fedor Levin
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
| | - Slawek Altenstein
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
- Department of Psychiatry and Psychotherapy, Charité, Berlin, Germany
| | - Moritz Berger
- Institute for Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - Aline Beyle
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
| | - Frederic Brosseron
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
| | - Katharina Buerger
- German Center for Neurodegenerative Diseases (DZNE), Munich, Munich, Germany
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Lena Burow
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Laura Dobisch
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Michael Ewers
- German Center for Neurodegenerative Diseases (DZNE), Munich, Munich, Germany
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Klaus Fliessbach
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
- University of Bonn Medical Center, Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, Bonn, Germany
| | - Ingo Frommann
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
- University of Bonn Medical Center, Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, Bonn, Germany
| | - Wenzel Glanz
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Doreen Goerss
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
- Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
| | - Daria Gref
- Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin-Institute of Psychiatry and Psychotherapy, Berlin, Germany
| | - Niels Hansen
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Goettingen, Germany
| | - Michael T. Heneka
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
| | - Enise I. Incesoy
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany
- Department for Psychiatry and Psychotherapy, University Clinic Magdeburg, Magdeburg, Germany pGerman Center for Neurodegenerative Diseases (DZNE), T¨ubingen, Germany
| | - Daniel Janowitz
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Deniz Keles
- Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin-Institute of Psychiatry and Psychotherapy, Berlin, Germany
| | - Ingo Kilimann
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
- Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
| | - Christoph Laske
- German Center for Neurodegenerative Diseases (DZNE), T¨ubingen, Germany
- Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of T¨ubingen, T¨ubingen, Germany
| | - Andrea Lohse
- Department of Psychiatry and Psychotherapy, Charité, Berlin, Germany
| | - Matthias H. Munk
- German Center for Neurodegenerative Diseases (DZNE), T¨ubingen, Germany
- Department of Psychiatry and Psychotherapy, University of T¨ubingen, T¨ubingen, Germany
| | - Robert Perneczky
- German Center for Neurodegenerative Diseases (DZNE), Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, 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
| | - Oliver Peters
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
- Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin-Institute of Psychiatry and Psychotherapy, Berlin, Germany
| | - Lukas Preis
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
| | - Josef Priller
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
- Department of Psychiatry and Psychotherapy, Charité, Berlin, Germany
- School of Medicine, Technical University of Munich; Department of Psychiatry and Psychotherapy, Munich, Germany
- University of Edinburgh and UK DRI, Edinburgh, UK
| | - Ayda Rostamzadeh
- Department of Psychiatry, University of Cologne, Medical Faculty, Cologne, Germany
| | - Nina Roy
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
| | - Matthias Schmid
- Institute for Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
| | - Anja Schneider
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
- University of Bonn Medical Center, Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, Bonn, Germany
| | - Annika Spottke
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
- Department of Neurology, University of Bonn, Bonn, Germany
| | - Eike Jakob Spruth
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
- Department of Psychiatry and Psychotherapy, Charité, Berlin, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Goettingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany
- Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
| | - Emrah Düzel
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Frank Jessen
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
- Department of Psychiatry, University of Cologne, Medical Faculty, Cologne, Germany
| | - Luca Kleineidam
- University of Bonn Medical Center, Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, Bonn, Germany
| | - Michael Wagner
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
- University of Bonn Medical Center, Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, Bonn, Germany
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Robinson B, Bhamidi S, Dayan E. The spatial distribution of coupling between tau and neurodegeneration in amyloid-β positive mild cognitive impairment. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.04.13.23288533. [PMID: 37131677 PMCID: PMC10153340 DOI: 10.1101/2023.04.13.23288533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Synergies between amyloid-β (Aβ), tau, and neurodegeneration persist along the Alzheimer's disease (AD) continuum. This study aimed to evaluate the extent of spatial coupling between tau and neurodegeneration (atrophy) and its relation to Aβ positivity in mild cognitive impairment (MCI). Data from 409 subjects were included (95 cognitively normal controls, 158 Aβ positive (Aβ+) MCI, and 156 Aβ negative (Aβ-) MCI) Florbetapir PET, Flortaucipir PET, and structural MRI were used as biomarkers for Aβ, tau and atrophy, respectively. Individual correlation matrices for tau load and atrophy were used to layer a multilayer network, with separate layers for tau and atrophy. A measure of coupling between corresponding regions of interest/nodes in the tau and atrophy layers was computed, as a function of Aβ positivity. The extent to which tau-atrophy coupling mediated associations between Aβ burden and cognitive decline was also evaluated. Heightened coupling between tau and atrophy in Aβ+ MCI was found primarily in the entorhinal and hippocampal regions (i.e., in regions corresponding to Braak stages I/II), and to a lesser extent in limbic and neocortical regions (i.e., corresponding to later Braak stages). Coupling strengths in the right middle temporal and inferior temporal gyri mediated the association between Aβ burden and cognition in this sample. Higher coupling between tau and atrophy in Aβ+ MCI is primarily evident in regions corresponding to early Braak stages and relates to overall cognitive decline. Coupling in neocortical regions is more restricted in MCI.
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Declarative Learning, Priming, and Procedural Learning Performances comparing Individuals with Amnestic Mild Cognitive Impairment, and Cognitively Unimpaired Older Adults. J Int Neuropsychol Soc 2023; 29:113-125. [PMID: 35225209 DOI: 10.1017/s1355617722000029] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
OBJECTIVE While declarative learning is dependent on the hippocampus, procedural learning and repetition priming can operate independently from the hippocampus, making them potential targets for behavioral interventions that utilize non-declarative memory systems to compensate for the declarative learning deficits associated with hippocampal insult. Few studies have assessed procedural learning and repetition priming in individuals with amnestic mild cognitive impairment (aMCI). METHOD This study offers an overview across declarative, conceptual repetition priming, and procedural learning tasks by providing between-group effect sizes and Bayes Factors (BFs) comparing individuals with aMCI and controls. Seventy-six individuals with aMCI and 83 cognitively unimpaired controls were assessed. We hypothesized to see the largest differences between individuals with aMCI and controls on declarative learning, followed by conceptual repetition priming, with the smallest differences on procedural learning. RESULTS Consistent with our hypotheses, we found large differences between groups with supporting BFs on declarative learning. For conceptual repetition priming, we found a small-to-moderate between-group effect size and a non-conclusive BF somewhat in favor of a difference between groups. We found more variable but overall trivial differences on procedural learning tasks, with inconclusive BFs, in line with expectations. CONCLUSIONS The current results suggest that conceptual repetition priming does not remain intact in individuals with aMCI while procedural learning may remain intact. While additional studies are needed, our results contribute to the evidence-base that suggests that procedural learning may remain spared in aMCI and helps inform behavioral interventions that aim to utilize procedural learning in this population.
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Jarholm JA, Bjørnerud A, Dalaker TO, Akhavi MS, Kirsebom BE, Pålhaugen L, Nordengen K, Grøntvedt GR, Nakling A, Kalheim LF, Almdahl IS, Tecelão S, Fladby T, Selnes P. Medial Temporal Lobe Atrophy in Predementia Alzheimer's Disease: A Longitudinal Multi-Site Study Comparing Staging and A/T/N in a Clinical Research Cohort. J Alzheimers Dis 2023; 94:259-279. [PMID: 37248900 PMCID: PMC10657682 DOI: 10.3233/jad-221274] [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] [Accepted: 04/22/2023] [Indexed: 05/31/2023]
Abstract
BACKGROUND Atrophy of the medial temporal lobe (MTL) is a biological characteristic of Alzheimer's disease (AD) and can be measured by segmentation of magnetic resonance images (MRI). OBJECTIVE To assess the clinical utility of automated volumetry in a cognitively well-defined and biomarker-classified multi-center longitudinal predementia cohort. METHODS We used Automatic Segmentation of Hippocampal Subfields (ASHS) to determine MTL morphometry from MRI. We harmonized scanner effects using the recently developed longitudinal ComBat. Subjects were classified according to the A/T/N system, and as normal controls (NC), subjective cognitive decline (SCD), or mild cognitive impairment (MCI). Positive or negative values of A, T, and N were determined by cerebrospinal fluid measurements of the Aβ42/40 ratio, phosphorylated and total tau. From 406 included subjects, longitudinal data was available for 206 subjects by stage, and 212 subjects by A/T/N. RESULTS Compared to A-/T-/N- at baseline, the entorhinal cortex, anterior and posterior hippocampus were smaller in A+/T+orN+. Compared to NC A- at baseline, these subregions were also smaller in MCI A+. Longitudinally, SCD A+ and MCI A+, and A+/T-/N- and A+/T+orN+, had significantly greater atrophy compared to controls in both anterior and posterior hippocampus. In the entorhinal and parahippocampal cortices, longitudinal atrophy was observed only in MCI A+ compared to NC A-, and in A+/T-/N- and A+/T+orN+ compared to A-/T-/N-. CONCLUSION We found MTL neurodegeneration largely consistent with existing models, suggesting that harmonized MRI volumetry may be used under conditions that are common in clinical multi-center cohorts.
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Affiliation(s)
- Jonas Alexander Jarholm
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Atle Bjørnerud
- Department of Physics, University of Oslo, Oslo, Norway
- Unit for Computational Radiology and Artificial Intelligence, Oslo University hospital, Oslo, Norway
- Department of Psychology, Faculty for Social Sciences, University of Oslo, Oslo, Norway
| | - Turi Olene Dalaker
- Department of Radiology, Stavanger Medical Imaging Laboratory, Stavanger University Hospital, Stavanger, Norway
| | - Mehdi Sadat Akhavi
- Department of Technology and Innovation, The Intervention Center, Oslo University Hospital, Oslo, Norway
| | - Bjørn Eivind Kirsebom
- Department of Neurology, University Hospital of North Norway, Tromso, Norway
- Department of Psychology, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromso, Norway
| | - Lene Pålhaugen
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Kaja Nordengen
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Gøril Rolfseng Grøntvedt
- Department of Neurology and Clinical Neurophysiology, University Hospital of Trondheim, Trondheim, Norway
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Arne Nakling
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Lisa F. Kalheim
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ina S. Almdahl
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Sandra Tecelão
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
| | - Tormod Fladby
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Per Selnes
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
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Zhang W, Zheng X, Li R, Liu M, Xiao W, Huang L, Xu F, Dong N, Li Y. Research on nonstroke dementia screening and cognitive function prediction model for older people based on brain atrophy characteristics. Brain Behav 2022; 12:e2726. [PMID: 36278400 PMCID: PMC9660432 DOI: 10.1002/brb3.2726] [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: 04/09/2022] [Accepted: 07/12/2022] [Indexed: 11/08/2022] Open
Abstract
BACKGROUND Brain atrophy is an important feature in dementia and is meaningful to explore a brain atrophy model to predict dementia. Using machine learning algorithm to establish a dementia model and cognitive function model based on brain atrophy characteristics is unstoppable. METHOD We acquired 157 dementia and 156 normal old people.s clinical information and MRI data, which contains 44 brain atrophy features, including visual scale assessment of brain atrophy and multiple linear measurement indexes and brain atrophy index. Five machine learning models were used to establish prediction models for dementia, general cognition, and subcognitive domains. RESULTS The extreme Gradient Boosting (XGBoost) model had the best effect in predicting dementia, with a sensitivity of 0.645, a specificity of 0.839, and the area under curve (AUC) of 0.784. In this model, the important brain atrophy features for predicting dementia were temporal horn ratio, cella media index, suprasellar cistern ratio, and the thickness of the corpus callosum genu. CONCLUSION For nonstroke elderly people, the machine learning model based on clinical head MRI brain atrophy features had good predictive value for dementia, general cognitive impairment, immediate memory impairment, word fluency disorder, executive dysfunction, and visualspatial disorder.
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Affiliation(s)
- Wei Zhang
- Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Xiaoran Zheng
- Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Renren Li
- Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Meng Liu
- Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Weixin Xiao
- Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Lihe Huang
- Research Center for Ageing, Language and Care at Tongji University, Shanghai, China
| | - Feiyang Xu
- iFlytek Research, iFlytek Co. Ltd, Hefei, China
| | - Ningxin Dong
- Department of Radiology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yunxia Li
- Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
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Li S, An N, Chen N, Wang Y, Yang L, Wang Y, Yao Z, Hu B. The impact of Alzheimer's disease susceptibility loci on lateral ventricular surface morphology in older adults. Brain Struct Funct 2022; 227:913-924. [PMID: 35028746 DOI: 10.1007/s00429-021-02429-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 11/13/2021] [Indexed: 11/25/2022]
Abstract
The enlargement of ventricular volume is a general trend in the elderly, especially in patients with Alzheimer's disease (AD). Multiple susceptibility loci have been reported to have an increased risk for AD and the morphology of brain structures are affected by the variations in the risk loci. Therefore, we hypothesized that genes contributed significantly to the ventricular surface, and the changes of ventricular surface were associated with the impairment of cognitive functions. After the quality controls (QC) and genotyping, a lateral ventricular segmentation method was employed to obtain the surface features of lateral ventricle. We evaluated the influence of 18 selected AD susceptibility loci on both volume and surface morphology across 410 subjects from Alzheimer's Disease Neuroimaging Initiative (ADNI). Correlations were conducted between radial distance (RD) and Montreal Cognitive Assessment (MoCA) subscales. Only the C allele at the rs744373 loci in BIN1 gene significantly accelerated the atrophy of lateral ventricle, including the anterior horn, body, and temporal horn of left lateral ventricle. No significant effect on lateral ventricle was found at other loci. Our results revealed that most regions of the bilateral ventricular surface were significantly negatively correlated with cognitive scores, particularly in delayed recall. Besides, small areas of surface were negatively correlated with language, orientation, and visuospatial scores. Together, our results indicated that the genetic variation affected the localized areas of lateral ventricular surface, and supported that lateral ventricle was an important brain structure associated with cognition in the elderly.
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Affiliation(s)
- Shan Li
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, No. 222 South Tianshui Road, Lanzhou, 730000, Gansu Province, People's Republic of China
| | - Na An
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, No. 222 South Tianshui Road, Lanzhou, 730000, Gansu Province, People's Republic of China
| | - Nan Chen
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, No. 222 South Tianshui Road, Lanzhou, 730000, Gansu Province, People's Republic of China
| | - Yin Wang
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, No. 222 South Tianshui Road, Lanzhou, 730000, Gansu Province, People's Republic of China
| | - Lin Yang
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, No. 222 South Tianshui Road, Lanzhou, 730000, Gansu Province, People's Republic of China
| | - Yalin Wang
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA
| | - Zhijun Yao
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, No. 222 South Tianshui Road, Lanzhou, 730000, Gansu Province, People's Republic of China.
| | - Bin Hu
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, No. 222 South Tianshui Road, Lanzhou, 730000, Gansu Province, People's Republic of China.
- CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, ShangHai, China.
- Joint Research Center for Cognitive Neurosensor Technology of Lanzhou University and Institute of Semiconductors, Chinese Academy of Sciences, LanZhou, China.
- Engineering Research Center of Open Source Software and Real-Time System, Ministry of Education, Lanzhou University, Lanzhou, China.
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Park JE, Gunasekaran TI, Cho YH, Choi SM, Song MK, Cho SH, Kim J, Song HC, Choi KY, Lee JJ, Park ZY, Song WK, Jeong HS, Lee KH, Lee JS, Kim BC. Diagnostic Blood Biomarkers in Alzheimer’s Disease. Biomedicines 2022; 10:biomedicines10010169. [PMID: 35052848 PMCID: PMC8773964 DOI: 10.3390/biomedicines10010169] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 01/06/2022] [Accepted: 01/10/2022] [Indexed: 11/16/2022] Open
Abstract
Potential biomarkers for Alzheimer’s disease (AD) include amyloid β1–42 (Aβ1–42), t-Tau, p-Tau181, neurofilament light chain (NFL), and neuroimaging biomarkers. Their combined use is useful for diagnosing and monitoring the progress of AD. Therefore, further development of a combination of these biomarkers is essential. We investigated whether plasma NFL/Aβ1–42 can serve as a plasma-based primary screening biomarker reflecting brain neurodegeneration and amyloid pathology in AD for monitoring disease progression and early diagnosis. We measured the NFL and Aβ1–42 concentrations in the CSF and plasma samples and performed correlation analysis to evaluate the utility of these biomarkers in the early diagnosis and monitoring of AD spectrum disease progression. Pearson’s correlation analysis was used to analyse the associations between the fluid biomarkers and neuroimaging data. The study included 136 participants, classified into five groups: 28 cognitively normal individuals, 23 patients with preclinical AD, 22 amyloid-negative patients with amnestic mild cognitive impairment, 32 patients with prodromal AD, and 31 patients with AD dementia. With disease progression, the NFL concentrations increased and Aβ1–42 concentrations decreased. The plasma and CSF NFL/Aβ1–42 were strongly correlated (r = 0.558). Plasma NFL/Aβ1–42 was strongly correlated with hippocampal volume/intracranial volume (r = 0.409). In early AD, plasma NFL/Aβ1–42 was associated with higher diagnostic accuracy than the individual biomarkers. Moreover, in preclinical AD, plasma NFL/Aβ1–42 changed more rapidly than the CSF t-Tau or p-Tau181 concentrations. Our findings highlight the utility of plasma NFL/Aβ1–42 as a non-invasive plasma-based biomarker for early diagnosis and monitoring of AD spectrum disease progression.
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Affiliation(s)
- Jung Eun Park
- Department of Biomedical Science, Chosun University, Gwangju 61452, Korea; (J.E.P.); (T.I.G.); (Y.H.C.); (K.H.L.)
- Department of Integrative Biological Sciences & BK21 FOUR Educational Research Group for Age-Associated Disorder Control Technology, Chosun University, Gwangju 61452, Korea
| | - Tamil Iniyan Gunasekaran
- Department of Biomedical Science, Chosun University, Gwangju 61452, Korea; (J.E.P.); (T.I.G.); (Y.H.C.); (K.H.L.)
- Gwangju Alzheimer’s Disease and Related Dementias Cohort Center, Chosun University, Gwangju 61452, Korea; (K.Y.C.); (J.J.L.)
| | - Yeong Hee Cho
- Department of Biomedical Science, Chosun University, Gwangju 61452, Korea; (J.E.P.); (T.I.G.); (Y.H.C.); (K.H.L.)
- Department of Integrative Biological Sciences & BK21 FOUR Educational Research Group for Age-Associated Disorder Control Technology, Chosun University, Gwangju 61452, Korea
| | - Seong-Min Choi
- Department of Neurology, Chonnam National University Medical School, Gwangju 61469, Korea; (S.-M.C.); (S.H.C.)
- Department of Neurology, Chonnam National University Hospital, Gwangju 61469, Korea;
| | - Min-Kyung Song
- Department of Neurology, Chonnam National University Hospital, Gwangju 61469, Korea;
| | - Soo Hyun Cho
- Department of Neurology, Chonnam National University Medical School, Gwangju 61469, Korea; (S.-M.C.); (S.H.C.)
- Department of Neurology, Chonnam National University Hospital, Gwangju 61469, Korea;
| | - Jahae Kim
- Department of Nuclear Medicine, Chonnam National University Medical School and Hospital, Gwangju 61469, Korea; (J.K.); (H.-C.S.)
| | - Ho-Chun Song
- Department of Nuclear Medicine, Chonnam National University Medical School and Hospital, Gwangju 61469, Korea; (J.K.); (H.-C.S.)
| | - Kyu Yeong Choi
- Gwangju Alzheimer’s Disease and Related Dementias Cohort Center, Chosun University, Gwangju 61452, Korea; (K.Y.C.); (J.J.L.)
| | - Jang Jae Lee
- Gwangju Alzheimer’s Disease and Related Dementias Cohort Center, Chosun University, Gwangju 61452, Korea; (K.Y.C.); (J.J.L.)
| | - Zee-Yong Park
- Laboratory of Functional and Medicinal Proteomics, School of Life Sciences, Gwangju Institute of Science and Technology, Gwangju 61005, Korea;
| | - Woo Keun Song
- Cell Logistics and Silver Health Research Center, School of Life Sciences, Gwangju Institute of Science and Technology, Gwangju 61005, Korea;
| | - Han-Seong Jeong
- Department of Physiology, Chonnam National University Medical School, Hwasun 58128, Korea;
| | - Kun Ho Lee
- Department of Biomedical Science, Chosun University, Gwangju 61452, Korea; (J.E.P.); (T.I.G.); (Y.H.C.); (K.H.L.)
- Gwangju Alzheimer’s Disease and Related Dementias Cohort Center, Chosun University, Gwangju 61452, Korea; (K.Y.C.); (J.J.L.)
- Aging Neuroscience Research Group, Korea Brain Research Institute, Daegu 41062, Korea
| | - Jung Sup Lee
- Department of Biomedical Science, Chosun University, Gwangju 61452, Korea; (J.E.P.); (T.I.G.); (Y.H.C.); (K.H.L.)
- Department of Integrative Biological Sciences & BK21 FOUR Educational Research Group for Age-Associated Disorder Control Technology, Chosun University, Gwangju 61452, Korea
- Correspondence: (J.S.L.); (B.C.K.); Tel.: +82-62-220-6665 (J.S.L.); +82-62-220-6123 (B.C.K.)
| | - Byeong C. Kim
- Department of Neurology, Chonnam National University Medical School, Gwangju 61469, Korea; (S.-M.C.); (S.H.C.)
- Department of Neurology, Chonnam National University Hospital, Gwangju 61469, Korea;
- Correspondence: (J.S.L.); (B.C.K.); Tel.: +82-62-220-6665 (J.S.L.); +82-62-220-6123 (B.C.K.)
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Hojjati SH, Babajani-Feremi A. Prediction and Modeling of Neuropsychological Scores in Alzheimer's Disease Using Multimodal Neuroimaging Data and Artificial Neural Networks. Front Comput Neurosci 2022; 15:769982. [PMID: 35069161 PMCID: PMC8770936 DOI: 10.3389/fncom.2021.769982] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 11/16/2021] [Indexed: 11/13/2022] Open
Abstract
Background: In recent years, predicting and modeling the progression of Alzheimer's disease (AD) based on neuropsychological tests has become increasingly appealing in AD research. Objective: In this study, we aimed to predict the neuropsychological scores and investigate the non-linear progression trend of the cognitive declines based on multimodal neuroimaging data. Methods: We utilized unimodal/bimodal neuroimaging measures and a non-linear regression method (based on artificial neural networks) to predict the neuropsychological scores in a large number of subjects (n = 1143), including healthy controls (HC) and patients with mild cognitive impairment non-converter (MCI-NC), mild cognitive impairment converter (MCI-C), and AD. We predicted two neuropsychological scores, i.e., the clinical dementia rating sum of boxes (CDRSB) and Alzheimer's disease assessment scale cognitive 13 (ADAS13), based on structural magnetic resonance imaging (sMRI) and positron emission tomography (PET) biomarkers. Results: Our results revealed that volumes of the entorhinal cortex and hippocampus and the average fluorodeoxyglucose (FDG)-PET of the angular gyrus, temporal gyrus, and posterior cingulate outperform other neuroimaging features in predicting ADAS13 and CDRSB scores. Compared to a unimodal approach, our results showed that a bimodal approach of integrating the top two neuroimaging features (i.e., the entorhinal volume and the average FDG of the angular gyrus, temporal gyrus, and posterior cingulate) increased the prediction performance of ADAS13 and CDRSB scores in the converting and stable stages of MCI and AD. Finally, a non-linear AD progression trend was modeled to describe the cognitive decline based on neuroimaging biomarkers in different stages of AD. Conclusion: Findings in this study show an association between neuropsychological scores and sMRI and FDG-PET biomarkers from normal aging to severe AD.
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Affiliation(s)
- Seyed Hani Hojjati
- Quantitative Neuroimaging Laboratory, Brain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine, New York, NY, United States
| | - Abbas Babajani-Feremi
- Department of Neurology, Dell Medical School, The University of Texas at Austin, Austin, TX, United States
- Department of Neurosurgery, Dell Medical School, The University of Texas at Austin, Austin, TX, United States
- Magnetoencephalography Laboratory, Dell Children’s Medical Center, Austin, TX, United States
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Zheng L, Wang Z, Liu Y, Zhao J, Huang S. Activation of the RMTg Nucleus by Chemogenetic Techniques Alleviates the Learning and Memory Impairment in APP/PS1 Mice. Neuropsychiatr Dis Treat 2022; 18:2957-2965. [PMID: 36573138 PMCID: PMC9789721 DOI: 10.2147/ndt.s388832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 12/06/2022] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVE There is a relationship between non-rapid eye movement (NREM) sleep and Alzheimer's disease (AD). The rostromedial tegmental nucleus (RMTg) is activated can enhance NREM. Therefore, our experiment was designed to investigate the effects of activation of RMTg by chemical genetic techniques on APP/PS1 mice learning and memory. MATERIALS AND METHODS After the AAV-hSyn-hM3Dq-mCherry virus was injected into the RMTg nucleus, CNO solution was intraperitoneally injected to activate RMTg. The new object test and Morris water maze were used to determine the learning and memory level; T2-weighted imaging (T2WI) scanning was performed to analyze the volume of hippocampus and entorhinal cortex of each group; The virus transfection status was determined by laser confocal microscope and use immunohistochemical detection to observe the deposition of Beta Amyloid 1-42 (Aβ42). RESULTS Activation of RMTg by chemical genetic techniques can reduce the escape latency and increase discrimination index (RI) and the number of crossing platform; Activation of RMTg by chemical genetic techniques reduced the atrophy of the entorhinal cortex. Aβ42 deposition in the brain was decreased after activation of RMTg. CONCLUSION Activation of the RMTg nucleus by chemogenetic techniques can improve the learning and memory impairment in APP/PS1 mice.
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Affiliation(s)
- Ling Zheng
- Rehabilitation Hospital Affiliated to Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China.,College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China.,Fujian Key Laboratory of Rehabilitation Technology, Fuzhou, People's Republic of China
| | - Zhenjie Wang
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
| | - Yujia Liu
- College of Traditional Chinese Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
| | - Jiapei Zhao
- Department of Rehabilitation Medicine, Xiamen Fifth Hospital, Xiamen, People's Republic of China
| | - Saie Huang
- Rehabilitation Hospital Affiliated to Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China.,Fujian Key Laboratory of Rehabilitation Technology, Fuzhou, People's Republic of China
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Biased M1 muscarinic receptor mutant mice show accelerated progression of prion neurodegenerative disease. Proc Natl Acad Sci U S A 2021; 118:2107389118. [PMID: 34893539 PMCID: PMC8685681 DOI: 10.1073/pnas.2107389118] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/04/2021] [Indexed: 01/14/2023] Open
Abstract
The M1 muscarinic acetylcholine receptor (M1-receptor) plays a crucial role in learning and memory and is a validated drug target for the treatment of Alzheimer’s disease (AD). Furthermore, M1-receptor ligands have been demonstrated to display disease-modifying effects in preclinical models of neurodegenerative disease. By employing a genetic mouse model expressing a G protein–biased M1-receptor in combination with a mouse model of terminal neurodegenerative disease, we demonstrate here that the M1-receptor exerts an inherent neuroprotective activity that is dependent on its phosphorylation status. Thus, in AD drug development programs, M1-receptor ligands that maintain the receptor phosphorylation status will be more likely to lead to beneficial neuroprotective outcomes. There are currently no treatments that can slow the progression of neurodegenerative diseases, such as Alzheimer’s disease (AD). There is, however, a growing body of evidence that activation of the M1 muscarinic acetylcholine receptor (M1-receptor) can not only restore memory loss in AD patients but in preclinical animal models can also slow neurodegenerative disease progression. The generation of an effective medicine targeting the M1-receptor has however been severely hampered by associated cholinergic adverse responses. By using genetically engineered mouse models that express a G protein–biased M1-receptor, we recently established that M1-receptor mediated adverse responses can be minimized by ensuring activating ligands maintain receptor phosphorylation/arrestin-dependent signaling. Here, we use these same genetic models in concert with murine prion disease, a terminal neurodegenerative disease showing key hallmarks of AD, to establish that phosphorylation/arrestin-dependent signaling delivers neuroprotection that both extends normal animal behavior and prolongs the life span of prion-diseased mice. Our data point to an important neuroprotective property inherent to the M1-receptor and indicate that next generation M1-receptor ligands designed to drive receptor phosphorylation/arrestin-dependent signaling would potentially show low adverse responses while delivering neuroprotection that will slow disease progression.
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Chauveau L, Kuhn E, Palix C, Felisatti F, Ourry V, de La Sayette V, Chételat G, de Flores R. Medial Temporal Lobe Subregional Atrophy in Aging and Alzheimer's Disease: A Longitudinal Study. Front Aging Neurosci 2021; 13:750154. [PMID: 34720998 PMCID: PMC8554299 DOI: 10.3389/fnagi.2021.750154] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 09/13/2021] [Indexed: 11/13/2022] Open
Abstract
Medial temporal lobe (MTL) atrophy is a key feature of Alzheimer's disease (AD), however, it also occurs in typical aging. To enhance the clinical utility of this biomarker, we need to better understand the differential effects of age and AD by encompassing the full AD-continuum from cognitively unimpaired (CU) to dementia, including all MTL subregions with up-to-date approaches and using longitudinal designs to assess atrophy more sensitively. Age-related trajectories were estimated using the best-fitted polynomials in 209 CU adults (aged 19–85). Changes related to AD were investigated among amyloid-negative (Aβ−) (n = 46) and amyloid-positive (Aβ+) (n = 14) CU, Aβ+ patients with mild cognitive impairment (MCI) (n = 33) and AD (n = 31). Nineteen MCI-to-AD converters were also compared with 34 non-converters. Relationships with cognitive functioning were evaluated in 63 Aβ+ MCI and AD patients. All participants were followed up to 47 months. MTL subregions, namely, the anterior and posterior hippocampus (aHPC/pHPC), entorhinal cortex (ERC), Brodmann areas (BA) 35 and 36 [as perirhinal cortex (PRC) substructures], and parahippocampal cortex (PHC), were segmented from a T1-weighted MRI using a new longitudinal pipeline (LASHiS). Statistical analyses were performed using mixed models. Adult lifespan models highlighted both linear (PRC, BA35, BA36, PHC) and nonlinear (HPC, aHPC, pHPC, ERC) trajectories. Group comparisons showed reduced baseline volumes and steeper volume declines over time for most of the MTL subregions in Aβ+ MCI and AD patients compared to Aβ− CU, but no differences between Aβ− and Aβ+ CU or between Aβ+ MCI and AD patients (except in ERC). Over time, MCI-to-AD converters exhibited a greater volume decline than non-converters in HPC, aHPC, and pHPC. Most of the MTL subregions were related to episodic memory performances but not to executive functioning or speed processing. Overall, these results emphasize the benefits of studying MTL subregions to distinguish age-related changes from AD. Interestingly, MTL subregions are unequally vulnerable to aging, and those displaying non-linear age-trajectories, while not damaged in preclinical AD (Aβ+ CU), were particularly affected from the prodromal stage (Aβ+ MCI). This volume decline in hippocampal substructures might also provide information regarding the conversion from MCI to AD-dementia. All together, these findings provide new insights into MTL alterations, which are crucial for AD-biomarkers definition.
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Affiliation(s)
- Léa Chauveau
- U1237 PhIND, Inserm, Caen-Normandie University, GIP Cyceron, Caen, France
| | - Elizabeth Kuhn
- U1237 PhIND, Inserm, Caen-Normandie University, GIP Cyceron, Caen, France
| | - Cassandre Palix
- U1237 PhIND, Inserm, Caen-Normandie University, GIP Cyceron, Caen, France
| | | | - Valentin Ourry
- U1237 PhIND, Inserm, Caen-Normandie University, GIP Cyceron, Caen, France.,U1077 NIMH, Inserm, Caen-Normandie University, École Pratique des Hautes Études, Caen, France
| | - Vincent de La Sayette
- U1077 NIMH, Inserm, Caen-Normandie University, École Pratique des Hautes Études, Caen, France
| | - Gaël Chételat
- U1237 PhIND, Inserm, Caen-Normandie University, GIP Cyceron, Caen, France
| | - Robin de Flores
- U1237 PhIND, Inserm, Caen-Normandie University, GIP Cyceron, Caen, France
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Bastin C, Bahri MA, Giacomelli F, Miévis F, Lemaire C, Degueldre C, Balteau E, Guillaume B, Salmon E. Familiarity in Mild Cognitive Impairment as a Function of Patients' Clinical Outcome 4 Years Later. Alzheimer Dis Assoc Disord 2021; 35:321-326. [PMID: 34310441 DOI: 10.1097/wad.0000000000000466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Accepted: 06/05/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVES The current study addresses the nature of memory difficulties in amnestic mild cognitive impairment (aMCI). Whereas recollection is consistently found to be impaired in aMCI, the results on familiarity are divergent. One potential factor that could explain this divergence in findings relates to the heterogeneity of aMCI patients, so that only those aMCI patients who develop Alzheimer disease (AD) may present with impaired familiarity. The present study aimed at testing this hypothesis. METHODS A group of 45 aMCI patients and a group of 26 healthy older adults performed a verbal recognition memory test with the Remember/Know paradigm to assess recollection and familiarity processes. All participants were followed for 4 years with clinical and neuropsychological testing. At the end of follow-up, 22 aMCI patients progressed to AD and 23 aMCI patients remained stable. Initial memory performance was compared between the 3 groups. RESULTS Whereas recollection was severely diminished in all aMCI patients, familiarity accuracy (and consequently global recognition accuracy) was found to be impaired only in aMCI patients who subsequently developed AD. CONCLUSION These findings suggest that the enrichment of the aMCI population with predementia stage patients may modulate the likelihood to observe familiarity deficits, and impaired global recognition accuracy may accompany incipient AD.
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Affiliation(s)
- Christine Bastin
- GIGA-Cyclotron Research Centre In Vivo Imaging, University of Liège
- F.R.S.-National Funds for Scientific Research Belgium
| | - Mohamed A Bahri
- GIGA-Cyclotron Research Centre In Vivo Imaging, University of Liège
| | | | - Frédéric Miévis
- GIGA-Cyclotron Research Centre In Vivo Imaging, University of Liège
| | | | | | - Evelyne Balteau
- GIGA-Cyclotron Research Centre In Vivo Imaging, University of Liège
| | | | - Eric Salmon
- GIGA-Cyclotron Research Centre In Vivo Imaging, University of Liège
- Memory Clinic, CHU Liège, Liège, Belgium
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Magnetic Resonance Imaging Measurement of Entorhinal Cortex in the Diagnosis and Differential Diagnosis of Mild Cognitive Impairment and Alzheimer's Disease. Brain Sci 2021; 11:brainsci11091129. [PMID: 34573151 PMCID: PMC8471837 DOI: 10.3390/brainsci11091129] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Revised: 08/12/2021] [Accepted: 08/20/2021] [Indexed: 11/17/2022] Open
Abstract
Several magnetic resonance imaging studies have shown that the entorhinal cortex (ERC) is the first brain area related to pathologic changes in Alzheimer’s disease (AD), even before atrophy of the hippocampus (HP). However, change in ERC morphology (thickness, surface area and volume) in the progression from aMCI to AD, especially in the subtypes of aMCI (single-domain and multiple-domain: aMCI-s and aMCI-m), however, is still unclear. ERC thickness, surface area and volume were measured in 29 people with aMCI-s, 22 people with aMCI-m, 18 patients with AD and 26 age-/sex-matched healthy controls. Group comparisons of the ERC geometry measurements (including thickness, volume and surface area) were performed using analyses of covariance (ANCOVA). Furthermore, receiver operator characteristic (ROC) analyses and the area under the curve (AUC) were employed to investigate classification ability (HC, aMCI-s, aMCI-m and AD from each other). There was a significant decreasing tendency in ERC thickness from HC to aMCI-s to aMCI-m to finally AD in both the left and the right hemispheres (left hemisphere: HC > aMCI-s > AD; right hemisphere: aMCI-s > aMCI-m > AD). For ERC volume, both the AD group and the aMCI-m group showed significantly decreased volume on both sides compared with the HC group. In addition, the AD group also had significantly decreased volume on both sides compared with the aMCI-s group. As for the ERC surface area, no significant difference was identified among the four groups. Furthermore, the AUC results demonstrate that combined ERC parameters (thickness and volume) can better discriminate the four groups from each other than ERC thickness alone. Finally, and most importantly, relative to HP volume, the capacity of combined ERC parameters was better at discriminating between HC and aMCI-s, as well as aMCI-m and AD. ERC atrophy, particularly the combination of ERC thickness and volume, might be regarded as a promising candidate biomarker in the diagnosis and differential diagnosis of aMCI and AD.
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20
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Jobin B, Boller B, Frasnelli J. Volumetry of Olfactory Structures in Mild Cognitive Impairment and Alzheimer's Disease: A Systematic Review and a Meta-Analysis. Brain Sci 2021; 11:1010. [PMID: 34439629 PMCID: PMC8393728 DOI: 10.3390/brainsci11081010] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 07/27/2021] [Accepted: 07/28/2021] [Indexed: 11/25/2022] Open
Abstract
Olfactory decline is an early symptom of Alzheimer's disease (AD) and is a predictor of conversion from mild cognitive impairment (MCI) to AD. Olfactory decline could reflect AD-related atrophy of structures related to the sense of smell. The aim of this study was to verify whether the presence of a clinical diagnosis of AD or MCI is associated with a volumetric decrease in the olfactory bulbs (OB) and the primary olfactory cortex (POC). We conducted two systematic reviews, one for each region and a meta-analysis. We collected articles from PsychNet, PubMed, Ebsco, and ProQuest databases. Results showed large and heterogeneous effects indicating smaller OB volumes in patients with AD (k = 6, g = -1.21, 95% CI [-2.19, -0.44]) and in patients with MCI compared to controls. There is also a trend for smaller POC in patients with AD or MCI compared to controls. Neuroanatomical structures involved in olfactory processing are smaller in AD and these volumetric reductions could be measured as early as the MCI stage.
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Affiliation(s)
- Benoît Jobin
- Department of Psychology, Université du Québec à Trois-Rivières, Trois-Rivieres, QC G8Z 4M3, Canada;
- Research Centre of the Institut Universitaire de Gériatrie de Montréal, Montréal, QC H3W 1W5, Canada
- Research Centre of the CIUSSS du Nord-de-l’île-de-Montréal, Montréal, QC H4J 1C5, Canada;
| | - Benjamin Boller
- Department of Psychology, Université du Québec à Trois-Rivières, Trois-Rivieres, QC G8Z 4M3, Canada;
- Research Centre of the Institut Universitaire de Gériatrie de Montréal, Montréal, QC H3W 1W5, Canada
| | - Johannes Frasnelli
- Research Centre of the CIUSSS du Nord-de-l’île-de-Montréal, Montréal, QC H4J 1C5, Canada;
- Department of Anatomy, Université du Québec à Trois-Rivières, Trois-Rivieres, QC G8Z 4M3, Canada
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21
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Er F, Goularas D. Predicting the Prognosis of MCI Patients Using Longitudinal MRI Data. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2021; 18:1164-1173. [PMID: 32813661 DOI: 10.1109/tcbb.2020.3017872] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
The aim of this study is to develop a computer-aided diagnosis system with a deep-learning approach for distinguishing "Mild Cognitive Impairment (MCI) due to Alzheimer's Disease (AD)" patients among a list of MCI patients. In this system we are using the power of longitudinal data extracted from magnetic resonance (MR). For this work, a total of 294 MCI patients were selected from the ADNI database. Among them, 125 patients developed AD during their follow-up and the rest remained stable. The proposed computer-aided diagnosis system (CAD) attempts to identify brain regions that are significant for the prediction of developing AD. The longitudinal data were constructed using a 3D Jacobian-based method aiming to track the brain differences between two consecutive follow-ups. The proposed CAD system distinguishes MCI patients who developed AD from those who remained stable with an accuracy of 87.2 percent. Moreover, it does not depend on data acquired by invasive methods or cognitive tests. This work demonstrates that the use of data in different time periods contains information that is beneficial for prognosis prediction purposes that outperform similar methods and are slightly inferior only to those systems that use invasive methods or neuropsychological tests.
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García-Velázquez L, Arias C. Differential Regulation of Wnt Signaling Components During Hippocampal Reorganization After Entorhinal Cortex Lesion. Cell Mol Neurobiol 2021; 41:537-549. [PMID: 32435957 DOI: 10.1007/s10571-020-00870-x] [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: 12/18/2019] [Accepted: 05/07/2020] [Indexed: 01/17/2023]
Abstract
Entorhinal cortex lesions have been established as a model for hippocampal deafferentation and have provided valuable information about the mechanisms of synapse reorganization and plasticity. Although several molecules have been proposed to contribute to these processes, the role of Wnt signaling components has not been explored, despite the critical roles that Wnt molecules play in the formation and maintenance of neuronal and synaptic structure and function in the adult brain. In this work, we assessed the reorganization process of the dentate gyrus (DG) at 1, 3, 7, and 30 days after an excitotoxic lesion in layer II of the entorhinal cortex. We found that cholinergic fibers sprouted into the outer molecular layer of the DG and revealed an increase of the developmental regulated MAP2C isoform 7 days after lesion. These structural changes were accompanied by the differential regulation of the Wnt signaling components Wnt7a, Wnt5a, Dkk1, and Sfrp1 over time. The progressive increase in the downstream Wnt-regulated elements, active-β-catenin, and cyclin D1 suggested the activation of the canonical Wnt pathway beginning on day 7 after lesion, which correlates with the structural adaptations observed in the DG. These findings suggest the important role of Wnt signaling in the reorganization processes after brain lesion and indicate the modulation of this pathway as an interesting target for neuronal tissue regeneration.
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Affiliation(s)
- Lizbeth García-Velázquez
- Departamento de Medicina Genómica y Toxicología Ambiental, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, AP 70-228, 04510, México, DF, Mexico
| | - Clorinda Arias
- Departamento de Medicina Genómica y Toxicología Ambiental, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, AP 70-228, 04510, México, DF, Mexico.
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López ME, Turrero A, Cuesta P, Rodríguez-Rojo IC, Barabash A, Marcos A, Maestú F, Fernández A. A multivariate model of time to conversion from mild cognitive impairment to Alzheimer's disease. GeroScience 2020; 42:1715-1732. [PMID: 32886293 PMCID: PMC7732920 DOI: 10.1007/s11357-020-00260-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Accepted: 08/24/2020] [Indexed: 11/26/2022] Open
Abstract
The present study was aimed at determining which combination of demographic, genetic, cognitive, neurophysiological, and neuroanatomical factors may predict differences in time to progression from mild cognitive impairment (MCI) to Alzheimer's disease (AD). To this end, a sample of 121 MCIs was followed up during a 5-year period. According to their clinical outcome, MCIs were divided into two subgroups: (i) the "progressive" MCI group (n = 46; mean time to progression 17 ± 9.73 months) and (ii) the "stable" MCI group (n = 75; mean time of follow-up 31.37 ± 14.58 months). Kaplan-Meier survival analyses were applied to explore each variable's relationship with the progression to AD. Once potential predictors were detected, Cox regression analyses were utilized to calculate a parsimonious model to estimate differences in time to progression. The final model included three variables (in order of relevance): left parahippocampal volume (corrected by intracranial volume, LP_ ICV), delayed recall (DR), and left inferior occipital lobe individual alpha peak frequency (LIOL_IAPF). Those MCIs with LP_ICV volume, DR score, and LIOL_IAPF value lower than the defined cutoff had 6 times, 5.5 times, and 3 times higher risk of progression to AD, respectively. Besides, when the categories of the three variables were "unfavorable" (i.e., values below the cutoff), 100% of cases progressed to AD at the end of follow-up. Our results highlighted the relevance of neurophysiological markers as predictors of conversion (LIOL_IAPF) and the importance of multivariate models that combine markers of different nature to predict time to progression from MCI to dementia.
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Affiliation(s)
- María Eugenia López
- Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Complutense University of Madrid, Madrid, Spain.
- Laboratory of Cognitive and Computational Neuroscience, Center for Biomedical Technology, Complutense University of Madrid and Polytechnic University of Madrid, Madrid, Spain.
- Networking Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Madrid, Spain.
- Institute of Sanitary Investigation (IdISSC), San Carlos University Hospital, Madrid, Spain.
| | - Agustín Turrero
- Institute of Sanitary Investigation (IdISSC), San Carlos University Hospital, Madrid, Spain
- Department of Statistics and Operational Research, Complutense University of Madrid, Madrid, Spain
| | - Pablo Cuesta
- Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Complutense University of Madrid, Madrid, Spain
- Laboratory of Cognitive and Computational Neuroscience, Center for Biomedical Technology, Complutense University of Madrid and Polytechnic University of Madrid, Madrid, Spain
| | - Inmaculada Concepción Rodríguez-Rojo
- Laboratory of Cognitive and Computational Neuroscience, Center for Biomedical Technology, Complutense University of Madrid and Polytechnic University of Madrid, Madrid, Spain
- Psychology Faculty, Centro Universitario Villanueva, Madrid, Spain
- Physiotherapy and Nursing Faculty, University of Castilla-La Mancha, Toledo, Spain
| | - Ana Barabash
- Institute of Sanitary Investigation (IdISSC), San Carlos University Hospital, Madrid, Spain
- Laboratory of Psychoneuroendocrinology and Genetics, San Carlos University Hospital, Madrid, Spain
| | - Alberto Marcos
- Institute of Sanitary Investigation (IdISSC), San Carlos University Hospital, Madrid, Spain
- Neurology Department, San Carlos University Hospital, Madrid, Spain
| | - Fernando Maestú
- Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Complutense University of Madrid, Madrid, Spain
- Laboratory of Cognitive and Computational Neuroscience, Center for Biomedical Technology, Complutense University of Madrid and Polytechnic University of Madrid, Madrid, Spain
- Networking Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Madrid, Spain
- Institute of Sanitary Investigation (IdISSC), San Carlos University Hospital, Madrid, Spain
| | - Alberto Fernández
- Laboratory of Cognitive and Computational Neuroscience, Center for Biomedical Technology, Complutense University of Madrid and Polytechnic University of Madrid, Madrid, Spain
- Institute of Sanitary Investigation (IdISSC), San Carlos University Hospital, Madrid, Spain
- Department of Legal Medicine, Psychiatry and Pathology, Complutense University of Madrid, Madrid, Spain
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24
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Anterolateral entorhinal cortex volume is associated with memory retention in clinically unimpaired older adults. Neurobiol Aging 2020; 98:134-145. [PMID: 33278686 DOI: 10.1016/j.neurobiolaging.2020.10.031] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 10/28/2020] [Accepted: 10/28/2020] [Indexed: 12/14/2022]
Abstract
The entorhinal cortex is subdivided into anterolateral entorhinal cortex (alERC) and posteromedial entorhinal cortex (pmERC) subregions, which are theorized to support distinct cognitive roles. This distinction is particularly important as the alERC is one of the earliest cortical regions affected by Alzheimer's pathology and related neurodegeneration. The relative associations of alERC/pmERC with neuropsychological test performance have not been examined. We examined how alERC/pmERC volumes differentially relate to performance on 1) the Modified Rey Auditory Learning Test (ModRey), a verbal memory test designed to assess normal/preclinical populations, 2) the Montreal Cognitive Assessment (MoCA), and 3) the National Alzheimer's Coordinating Center neuropsychological battery. We also examined whether alERC/pmERC volumes correlate with Alzheimer's disease cerebrospinal fluid (CSF) biomarkers. In 65 cognitively healthy (CDR = 0) older adults, alERC, but not pmERC, volume was associated with ModRey memory retention. Only alERC volume differentiated between participants who scored above and below the MoCA cutoff score for impairment. Evaluating the MoCA subdomains revealed that alERC was particularly associated with verbal recall. On the National Alzheimer's Coordinating Center battery, both alERC and pmERC volumes were associated with Craft story recall and Benson figure copy, but only alERC volume was associated with Craft story retention and semantic fluency. Neither alERC nor pmERC volume correlated with CSF levels of amyloid or tau, and regression analyses showed that alERC volume and CSF amyloid levels were independently associated with ModRey retention performance. Taken together, these results suggest that the alERC is important for memory performance and that alERC volume differences are related to a pattern of neuropsychological test performance (i.e., impairments in episodic memory and semantic fluency) typically seen in clinical Alzheimer's disease.
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25
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Hou M, de Chastelaine M, Jayakumar M, Donley BE, Rugg MD. Recollection-related hippocampal fMRI effects predict longitudinal memory change in healthy older adults. Neuropsychologia 2020; 146:107537. [PMID: 32569610 DOI: 10.1016/j.neuropsychologia.2020.107537] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Revised: 06/11/2020] [Accepted: 06/12/2020] [Indexed: 02/07/2023]
Abstract
Prior fMRI studies have reported relationships between memory-related activity in the hippocampus and in-scanner memory performance, but whether such activity is predictive of longitudinal memory change remains unclear. Here, we administered a neuropsychological test battery to a sample of cognitively healthy older adults on three occasions, the second and third sessions occurring one month and three years after the first session. Structural and functional MRI data were acquired between the first two sessions. The fMRI data were derived from an associative recognition procedure and allowed estimation of hippocampal effects associated with both successful associative encoding and successful associative recognition (recollection). Baseline memory performance and memory change were evaluated using memory component scores derived from a principal components analysis of the neuropsychological test scores. Across participants, right hippocampal encoding effects correlated significantly with baseline memory performance after controlling for chronological age. Additionally, both left and right hippocampal associative recognition effects correlated negatively with longitudinal memory decline after controlling for age, and the relationship with the left hippocampal effect remained after also controlling for left hippocampal volume. Thus, in cognitively healthy older adults, the magnitude of hippocampal recollection effects appears to be a robust predictor of future memory change.
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Affiliation(s)
- Mingzhu Hou
- Center for Vital Longevity and School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX, 75235, USA.
| | - Marianne de Chastelaine
- Center for Vital Longevity and School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX, 75235, USA
| | - Manasi Jayakumar
- Center for Vital Longevity and School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX, 75235, USA
| | - Brian E Donley
- Center for Vital Longevity and School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX, 75235, USA
| | - Michael D Rugg
- Center for Vital Longevity and School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX, 75235, USA; School of Psychology, University of East Anglia, Norwich, NR4 7TJ, UK
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26
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MacDonald SWS, Keller CJC, Brewster PWH, Dixon RA. Contrasting olfaction, vision, and audition as predictors of cognitive change and impairment in non-demented older adults. Neuropsychology 2019; 32:450-460. [PMID: 29809033 DOI: 10.1037/neu0000439] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE This study examines the relative utility of a particular class of noninvasive functional biomarkers-sensory functions-for detecting those at risk of cognitive decline and impairment. Three central research objectives were examined including whether (a) olfactory function, vision, and audition exhibited significant longitudinal declines in nondemented older adults; (b) multiwave change for these sensory function indicators predicted risk of mild cognitive impairment (MCI); and (c) change within persons for each sensory measure shared dynamic time-varying associations with within-person change in cognitive functioning. METHOD A longitudinal sample (n = 408) from the Victoria Longitudinal Study was assembled. Three cognitive status subgroups were identified: not impaired cognitively, single-assessment MCI, and multiple-assessment MCI. RESULTS We tested independent predictive associations, contrasting change in sensory function as predictors of cognitive decline and impairment, utilizing both linear mixed models and logistic regression analysis. Olfaction and, to a lesser extent, vision were identified as the most robust predictors of cognitive status and decline; audition showed little predictive influence. CONCLUSIONS These findings underscore the potential utility of deficits in olfactory function, in particular, as an early marker of age- and pathology-related cognitive decline. Functional biomarkers may represent potential candidates for use in the early stages of a multistep screening approach for detecting those at risk of cognitive impairment, as well as for targeted intervention. (PsycINFO Database Record
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27
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Xie L, Wisse LEM, Pluta J, de Flores R, Piskin V, Manjón JV, Wang H, Das SR, Ding S, Wolk DA, Yushkevich PA. Automated segmentation of medial temporal lobe subregions on in vivo T1-weighted MRI in early stages of Alzheimer's disease. Hum Brain Mapp 2019; 40:3431-3451. [PMID: 31034738 PMCID: PMC6697377 DOI: 10.1002/hbm.24607] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2019] [Accepted: 04/15/2019] [Indexed: 12/14/2022] Open
Abstract
Medial temporal lobe (MTL) substructures are the earliest regions affected by neurofibrillary tangle pathology-and thus are promising biomarkers for Alzheimer's disease (AD). However, automatic segmentation of the MTL using only T1-weighted (T1w) magnetic resonance imaging (MRI) is challenging due to the large anatomical variability of the MTL cortex and the confound of the dura mater, which is commonly segmented as gray matter by state-of-the-art algorithms because they have similar intensity in T1w MRI. To address these challenges, we developed a novel atlas set, consisting of 15 cognitively normal older adults and 14 patients with mild cognitive impairment with a label explicitly assigned to the dura, that can be used by the multiatlas automated pipeline (Automatic Segmentation of Hippocampal Subfields [ASHS-T1]) for the segmentation of MTL subregions, including anterior/posterior hippocampus, entorhinal cortex (ERC), Brodmann areas (BA) 35 and 36, and parahippocampal cortex on T1w MRI. Cross-validation experiments indicated good segmentation accuracy of ASHS-T1 and that the dura can be reliably separated from the cortex (6.5% mislabeled as gray matter). Conversely, FreeSurfer segmented majority of the dura mater (62.4%) as gray matter and the degree of dura mislabeling decreased with increasing disease severity. To evaluate its clinical utility, we applied the pipeline to T1w images of 663 ADNI subjects and significant volume/thickness loss is observed in BA35, ERC, and posterior hippocampus in early prodromal AD and all subregions at later stages. As such, the publicly available new atlas and ASHS-T1 could have important utility in the early diagnosis and monitoring of AD and enhancing brain-behavior studies of these regions.
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Affiliation(s)
- Long Xie
- Penn Image Computing and Science Laboratory (PICSL), Department of RadiologyUniversity of PennsylvaniaPhiladelphiaPennsylvania
- Department of RadiologyUniversity of PennsylvaniaPhiladelphiaPennsylvania
| | - Laura E. M. Wisse
- Penn Image Computing and Science Laboratory (PICSL), Department of RadiologyUniversity of PennsylvaniaPhiladelphiaPennsylvania
- Department of RadiologyUniversity of PennsylvaniaPhiladelphiaPennsylvania
- Penn Memory CenterUniversity of PennsylvaniaPhiladelphiaPennsylvania
| | - John Pluta
- Penn Image Computing and Science Laboratory (PICSL), Department of RadiologyUniversity of PennsylvaniaPhiladelphiaPennsylvania
- Department of RadiologyUniversity of PennsylvaniaPhiladelphiaPennsylvania
| | - Robin de Flores
- Penn Memory CenterUniversity of PennsylvaniaPhiladelphiaPennsylvania
- Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvania
| | - Virgine Piskin
- Penn Image Computing and Science Laboratory (PICSL), Department of RadiologyUniversity of PennsylvaniaPhiladelphiaPennsylvania
| | - Jose V. Manjón
- Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA)Universidad Politécnica de ValenciaValenciaSpain
| | | | - Sandhitsu R. Das
- Penn Image Computing and Science Laboratory (PICSL), Department of RadiologyUniversity of PennsylvaniaPhiladelphiaPennsylvania
- Penn Memory CenterUniversity of PennsylvaniaPhiladelphiaPennsylvania
- Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvania
| | - Song‐Lin Ding
- Allen Institute for Brain ScienceSeattleWashington
- Institute of Neuroscience, School of Basic Medical SciencesGuangzhou Medical UniversityGuangzhouPeople's Republic of China
| | - David A. Wolk
- Penn Memory CenterUniversity of PennsylvaniaPhiladelphiaPennsylvania
- Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvania
| | - Paul A. Yushkevich
- Penn Image Computing and Science Laboratory (PICSL), Department of RadiologyUniversity of PennsylvaniaPhiladelphiaPennsylvania
- Department of RadiologyUniversity of PennsylvaniaPhiladelphiaPennsylvania
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Female mice with apolipoprotein E4 domain interaction demonstrated impairments in spatial learning and memory performance and disruption of hippocampal cyto-architecture. Neurobiol Learn Mem 2019; 161:106-114. [PMID: 30954674 DOI: 10.1016/j.nlm.2019.03.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Revised: 03/01/2019] [Accepted: 03/29/2019] [Indexed: 11/22/2022]
Abstract
We have previously reported cognitive impairments in both young and old mice, particularly in female mice expressing mouse Arg-61 apoE, with a point mutation to mimic the domain interaction feature of human apoE4, as compared to the wildtype mouse (C57BL/6J) apoE. In this study, we further evaluated water maze performance in the female Arg-61 mice at an additional time point and then investigated related hippocampal cyto-architecture in these young female Arg-61 apoE mice vs. the wildtype mice. The results of behavioral performance consistently support our previous report that the young female Arg-61 apoE showed cognitive impairment versus C57BL/6J at the same age. The cyto-architectural results showed that volume of the granular cell layer (GCL) was significantly larger in both 5- and 10-month old Arg-61 apoE mice versus C57BL/6J mice. While the number of newborn calretinin-positive neurons was greater in the sub-granular zone (SGZ) in 5-month old Arg-61 mice, this number dropped significantly in 10-month old Arg-61 mice to a lower level than in age-matched C57BL/6J mice. In addition, the amyloid β species was significantly higher in 5-month old Arg-61 mice versus age-matched C57BL/6J mice. In conclusion, impaired cognitive functions in female Arg-61 apoE mice appear correlated with larger GCL volume and higher calretinin-positive cell number and suggest a compensatory cellular response that may be related to amyloid beta perturbations early in life. Therefore this study suggests a novel cyto-architectural mechanism of apoE4-dependent pathologies and increased susceptibility of APOEε4 subjects to Alzheimer's disease.
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Jacini F, Sorrentino P, Lardone A, Rucco R, Baselice F, Cavaliere C, Aiello M, Orsini M, Iavarone A, Manzo V, Carotenuto A, Granata C, Hillebrand A, Sorrentino G. Amnestic Mild Cognitive Impairment Is Associated With Frequency-Specific Brain Network Alterations in Temporal Poles. Front Aging Neurosci 2018; 10:400. [PMID: 30574086 PMCID: PMC6291511 DOI: 10.3389/fnagi.2018.00400] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Accepted: 11/20/2018] [Indexed: 12/13/2022] Open
Abstract
There is general agreement that the neuropathological processes leading to Alzheimer’s disease (AD) begin decades before the clinical onset. In order to detect early topological changes, we applied functional connectivity and network analysis to magnetoencephalographic (MEG) data obtained from 16 patients with amnestic Mild Cognitive Impairment (aMCI), a prodromal stage of AD, and 16 matched healthy control (HCs). Significant differences between the two groups were found in the theta band, which is associated with memory processes, in both temporal poles (TPs). In aMCI, the degree and betweenness centrality (BC) were lower in the left superior TP, whereas in the right middle TP the BC was higher. A statistically significant negative linear correlation was found between the BC of the left superior TP and a delayed recall score, a sensitive marker of the “hippocampal memory” deficit in early AD. Our results suggest that the TPs, which are involved early in AD pathology and belong to the memory circuitry, have an altered role in the functional network in aMCI.
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Affiliation(s)
- Francesca Jacini
- Department of Motor Sciences and Wellness, Parthenope University of Naples, Naples, Italy.,Institute for Diagnosis and Cure Hermitage Capodimonte, Naples, Italy
| | - Pierpaolo Sorrentino
- Department of Engineering, Parthenope University of Naples, Naples, Italy.,Department of Clinical Neurophysiology and MEG Center, VU University Medical Center Amsterdam, Amsterdam, Netherlands
| | - Anna Lardone
- Department of Motor Sciences and Wellness, Parthenope University of Naples, Naples, Italy.,Institute for Diagnosis and Cure Hermitage Capodimonte, Naples, Italy
| | - Rosaria Rucco
- Department of Motor Sciences and Wellness, Parthenope University of Naples, Naples, Italy.,Institute for Diagnosis and Cure Hermitage Capodimonte, Naples, Italy
| | - Fabio Baselice
- Department of Engineering, Parthenope University of Naples, Naples, Italy
| | - Carlo Cavaliere
- Diagnostic and Nuclear Research Institute, IRCCS SDN, Naples, Italy
| | - Marco Aiello
- Diagnostic and Nuclear Research Institute, IRCCS SDN, Naples, Italy
| | - Mario Orsini
- Diagnostic and Nuclear Research Institute, IRCCS SDN, Naples, Italy
| | - Alessandro Iavarone
- Neurological and Stroke Unit, CTO Hospital-AORN Ospedale dei Colli, Naples, Italy
| | | | | | - Carmine Granata
- Institute of Applied Sciences and Intelligent Systems, CNR, Pozzuoli, Italy
| | - Arjan Hillebrand
- Department of Clinical Neurophysiology and MEG Center, VU University Medical Center Amsterdam, Amsterdam, Netherlands
| | - Giuseppe Sorrentino
- Department of Motor Sciences and Wellness, Parthenope University of Naples, Naples, Italy.,Institute for Diagnosis and Cure Hermitage Capodimonte, Naples, Italy
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Hoeijmakers L, Meerhoff GF, de Vries JW, Ruigrok SR, van Dam AM, van Leuven F, Korosi A, Lucassen PJ. The age-related slow increase in amyloid pathology in APP.V717I mice activates microglia, but does not alter hippocampal neurogenesis. Neurobiol Aging 2018; 61:112-123. [DOI: 10.1016/j.neurobiolaging.2017.09.013] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2017] [Revised: 09/12/2017] [Accepted: 09/14/2017] [Indexed: 01/09/2023]
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31
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Ginsberg SD, Malek-Ahmadi MH, Alldred MJ, Che S, Elarova I, Chen Y, Jeanneteau F, Kranz TM, Chao MV, Counts SE, Mufson EJ. Selective decline of neurotrophin and neurotrophin receptor genes within CA1 pyramidal neurons and hippocampus proper: Correlation with cognitive performance and neuropathology in mild cognitive impairment and Alzheimer's disease. Hippocampus 2017; 29:422-439. [PMID: 28888073 DOI: 10.1002/hipo.22802] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Revised: 09/01/2017] [Accepted: 09/05/2017] [Indexed: 01/02/2023]
Abstract
Hippocampal CA1 pyramidal neurons, a major component of the medial temporal lobe memory circuit, are selectively vulnerable during the progression of Alzheimer's disease (AD). The cellular mechanism(s) underlying degeneration of these neurons and the relationship to cognitive performance remains largely undefined. Here, we profiled neurotrophin and neurotrophin receptor gene expression within microdissected CA1 neurons along with regional hippocampal dissections from subjects who died with a clinical diagnosis of no cognitive impairment (NCI), mild cognitive impairment (MCI), or AD using laser capture microdissection (LCM), custom-designed microarray analysis, and qPCR of CA1 subregional dissections. Gene expression levels were correlated with cognitive test scores and AD neuropathology criteria. We found a significant downregulation of several neurotrophin genes (e.g., Gdnf, Ngfb, and Ntf4) in CA1 pyramidal neurons in MCI compared to NCI and AD subjects. In addition, the neurotrophin receptor transcripts TrkB and TrkC were decreased in MCI and AD compared to NCI. Regional hippocampal dissections also revealed select neurotrophic gene dysfunction providing evidence for vulnerability within the hippocampus proper during the progression of dementia. Downregulation of several neurotrophins of the NGF family and cognate neurotrophin receptor (TrkA, TrkB, and TrkC) genes correlated with antemortem cognitive measures including the Mini-Mental State Exam (MMSE), a composite global cognitive score (GCS), and Episodic, Semantic, and Working Memory, Perceptual Speed, and Visuospatial domains. Significant correlations were found between select neurotrophic expression downregulation and neuritic plaques (NPs) and neurofibrillary tangles (NFTs), but not diffuse plaques (DPs). These data suggest that dysfunction of neurotrophin signaling complexes have profound negative sequelae within vulnerable hippocampal cell types, which play a role in mnemonic and executive dysfunction during the progression of AD.
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Affiliation(s)
- Stephen D Ginsberg
- Center for Dementia Research, Nathan Kline Institute, Orangeburg, New York.,Department of Psychiatry, New York University Langone Medical Center, New York, New York.,Department of Neuroscience & Physiology, New York University Langone Medical Center, New York, New York.,Neuroscience Institute, New York University Langone Medical Center, New York, New York
| | | | - Melissa J Alldred
- Center for Dementia Research, Nathan Kline Institute, Orangeburg, New York.,Department of Psychiatry, New York University Langone Medical Center, New York, New York
| | - Shaoli Che
- Center for Dementia Research, Nathan Kline Institute, Orangeburg, New York.,Department of Psychiatry, New York University Langone Medical Center, New York, New York
| | - Irina Elarova
- Center for Dementia Research, Nathan Kline Institute, Orangeburg, New York
| | | | - Freddy Jeanneteau
- Inserm, U1191, Institute of Functional Genomics, Montpellier, F-34000, France.,CNRS, UMR-5203, Montpellier, F-34000, France.,Université de Montpellier, Montpellier, F-34000, France
| | - Thorsten M Kranz
- Department of Psychiatry, New York University Langone Medical Center, New York, New York.,Skirball Institute of Biomolecular Medicine, New York University Langone Medical Center, New York, New York
| | - Moses V Chao
- Department of Psychiatry, New York University Langone Medical Center, New York, New York.,Skirball Institute of Biomolecular Medicine, New York University Langone Medical Center, New York, New York
| | - Scott E Counts
- Department of Translational Science and Molecular Medicine, Michigan State University, Grand Rapids, Michigan.,Department of Family Medicine, Michigan State University, East Lansing, Michigan.,Michigan Alzheimer's Disease Core Center, Ann Arbor, Michigan.,Mercy Health Saint Mary's Hospital, Hauenstein Neurosciences Center, Grand Rapids, Michigan
| | - Elliott J Mufson
- Department of Neurobiology and Neurology, Barrow Neurological Institute, Phoenix, Arizona
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Gorbach T, Pudas S, Lundquist A, Orädd G, Josefsson M, Salami A, de Luna X, Nyberg L. Longitudinal association between hippocampus atrophy and episodic-memory decline. Neurobiol Aging 2017; 51:167-176. [DOI: 10.1016/j.neurobiolaging.2016.12.002] [Citation(s) in RCA: 91] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2016] [Revised: 12/01/2016] [Accepted: 12/04/2016] [Indexed: 12/22/2022]
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Dougherty RJ, Schultz SA, Boots EA, Ellingson LD, Meyer JD, Van Riper S, Stegner AJ, Edwards DF, Oh JM, Einerson J, Korcarz CE, Koscik RL, Dowling MN, Gallagher CL, Carlsson CM, Rowley HA, Bendlin BB, Asthana S, Hermann BP, Sager MA, Stein JH, Johnson SC, Okonkwo OC, Cook DB. Relationships between cardiorespiratory fitness, hippocampal volume, and episodic memory in a population at risk for Alzheimer's disease. Brain Behav 2017; 7:e00625. [PMID: 28293467 PMCID: PMC5346514 DOI: 10.1002/brb3.625] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Accepted: 11/17/2016] [Indexed: 11/14/2022] Open
Abstract
INTRODUCTION Cardiorespiratory fitness (CRF) has been shown to be related to brain health in older adults. In individuals at risk for developing Alzheimer's disease (AD), CRF may be a modifiable risk factor that could attenuate anticipated declines in brain volume and episodic memory. The objective of this study was to determine the association between CRF and both hippocampal volume and episodic memory in a cohort of cognitively healthy older adults with familial and/or genetic risk for Alzheimer's disease (AD). METHODS Eighty-six enrollees from the Wisconsin Registry for Alzheimer's Prevention participated in this study. Participants performed a graded maximal exercise test, underwent a T-1 anatomical magnetic resonance imaging scan, and completed the Rey Auditory Verbal Learning Test (RAVLT). RESULTS There were no significant relationships between CRF and HV or RAVLT memory scores for the entire sample. When the sample was explored on the basis of gender, CRF was significantly associated with hippocampal volume for women. For men, significant positive associations were observed between CRF and RAVLT memory scores. SUMMARY These results suggest that CRF may be protective against both hippocampal volume and episodic memory decline in older adults at risk for AD, but that the relationships may be gender specific.
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Affiliation(s)
- Ryan J Dougherty
- William S. Middleton Memorial Veterans Hospital Madison WI USA; Department of Kinesiology University of Wisconsin School of Education Madison WI USA
| | - Stephanie A Schultz
- Geriatric Research Education and Clinical Center William S. Middleton Memorial Veterans Hospital Madison WI USA; Wisconsin Alzheimer's Disease Research Center University of Wisconsin School of Medicine and Public Health Madison WI USA; Wisconsin Alzheimer's Institute University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Elizabeth A Boots
- Department of Kinesiology University of Wisconsin School of Education Madison WI USA; Wisconsin Alzheimer's Disease Research Center University of Wisconsin School of Medicine and Public Health Madison WI USA; Wisconsin Alzheimer's Institute University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Laura D Ellingson
- William S. Middleton Memorial Veterans Hospital Madison WI USA; Department of Kinesiology Iowa State University College of Human Sciences Ames IA USA
| | - Jacob D Meyer
- William S. Middleton Memorial Veterans Hospital Madison WI USA; Department of Family Medicine and Community Health University of Wisconsin Madison WI USA
| | - Stephanie Van Riper
- William S. Middleton Memorial Veterans Hospital Madison WI USA; Geriatric Research Education and Clinical Center William S. Middleton Memorial Veterans Hospital Madison WI USA
| | - Aaron J Stegner
- William S. Middleton Memorial Veterans Hospital Madison WI USA; Geriatric Research Education and Clinical Center William S. Middleton Memorial Veterans Hospital Madison WI USA
| | - Dorothy F Edwards
- Geriatric Research Education and Clinical Center William S. Middleton Memorial Veterans Hospital Madison WI USA; Wisconsin Alzheimer's Disease Research Center University of Wisconsin School of Medicine and Public Health Madison WI USA; Wisconsin Alzheimer's Institute University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Jennifer M Oh
- Department of Kinesiology University of Wisconsin School of Education Madison WI USA; Wisconsin Alzheimer's Disease Research Center University of Wisconsin School of Medicine and Public Health Madison WI USA; Wisconsin Alzheimer's Institute University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Jean Einerson
- Division of Cardiology University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Claudia E Korcarz
- Division of Cardiology University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Rebecca L Koscik
- Wisconsin Alzheimer's Institute University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Maritza N Dowling
- Department of Biostatistics & Medical Informatics University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Catherine L Gallagher
- Department of Kinesiology University of Wisconsin School of Education Madison WI USA; Wisconsin Alzheimer's Disease Research Center University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Cynthia M Carlsson
- Department of Kinesiology University of Wisconsin School of Education Madison WI USA; Wisconsin Alzheimer's Disease Research Center University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Howard A Rowley
- Geriatric Research Education and Clinical Center William S. Middleton Memorial Veterans Hospital Madison WI USA
| | - Barbara B Bendlin
- Department of Kinesiology University of Wisconsin School of Education Madison WI USA; Wisconsin Alzheimer's Disease Research Center University of Wisconsin School of Medicine and Public Health Madison WI USA; Wisconsin Alzheimer's Institute University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Sanjay Asthana
- Department of Kinesiology University of Wisconsin School of Education Madison WI USA; Wisconsin Alzheimer's Disease Research Center University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Bruce P Hermann
- Wisconsin Alzheimer's Disease Research Center University of Wisconsin School of Medicine and Public Health Madison WI USA; Wisconsin Alzheimer's Institute University of Wisconsin School of Medicine and Public Health Madison WI USA; Department of Neurology University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Mark A Sager
- Wisconsin Alzheimer's Disease Research Center University of Wisconsin School of Medicine and Public Health Madison WI USA; Wisconsin Alzheimer's Institute University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - James H Stein
- Division of Cardiology University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Sterling C Johnson
- Department of Kinesiology University of Wisconsin School of Education Madison WI USA; Wisconsin Alzheimer's Disease Research Center University of Wisconsin School of Medicine and Public Health Madison WI USA; Wisconsin Alzheimer's Institute University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Ozioma C Okonkwo
- Department of Kinesiology University of Wisconsin School of Education Madison WI USA; Wisconsin Alzheimer's Disease Research Center University of Wisconsin School of Medicine and Public Health Madison WI USA; Wisconsin Alzheimer's Institute University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Dane B Cook
- William S. Middleton Memorial Veterans Hospital Madison WI USA; Geriatric Research Education and Clinical Center William S. Middleton Memorial Veterans Hospital Madison WI USA
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Robinson RAS, Amin B, Guest PC. Multiplexing Biomarker Methods, Proteomics and Considerations for Alzheimer’s Disease. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2017; 974:21-48. [DOI: 10.1007/978-3-319-52479-5_2] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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Shi Y, Sun X, Sun Y, Hou L, Yao M, Lian K, Li J, Lu X, Jiang L. Elevation of cortical C26:0 due to the decline of peroxisomal β-oxidation potentiates amyloid β generation and spatial memory deficits via oxidative stress in diabetic rats. Neuroscience 2016; 315:125-35. [DOI: 10.1016/j.neuroscience.2015.11.067] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2015] [Revised: 11/07/2015] [Accepted: 11/30/2015] [Indexed: 01/23/2023]
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Impaired and preserved aspects of feedback learning in aMCI: contributions of structural connectivity. Brain Struct Funct 2015; 221:2831-46. [PMID: 26084875 DOI: 10.1007/s00429-015-1075-y] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2014] [Accepted: 06/03/2015] [Indexed: 10/23/2022]
Abstract
Distinct lines of research demonstrated that patients with amnestic mild cognitive impairment (aMCI), a potential precursor of Alzheimer disease (AD), are particularly impaired in remembering relations between items and that the use of emotional targets can facilitate memory in patients with AD. We link these findings by examining learning through positive and negative feedback in patients with aMCI, and explore its anatomic underpinnings with diffusion tensor imaging and tractography. Compared to healthy controls, patients with single-domain aMCI were impaired in learning from positive feedback, while learning from negative outcomes was preserved. Among pathways within the brain circuit involved in feedback learning, abnormal white matter microstructure was observed in tracts, which connect left-hemispheric amygdala with hippocampus and entorhinal cortex. In all participants, reduced white matter integrity in this left fiber tract was specifically associated with learning from positive outcomes. Microstructure of right-hemispheric tracts between amygdala and entorhinal cortex was related to learning from negative feedback, and was not compromised in aMCI patients. Our results provide new insight into how anatomical connections might contribute to impaired and preserved aspects of learning behaviors in the early AD process and indicate potential compensatory mechanisms.
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Chen DQ, Strauss I, Hayes DJ, Davis KD, Hodaie M. Age-related changes in diffusion tensor imaging metrics of fornix subregions in healthy humans. Stereotact Funct Neurosurg 2015; 93:151-9. [PMID: 25790958 DOI: 10.1159/000368442] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2014] [Accepted: 09/18/2014] [Indexed: 11/19/2022]
Abstract
OBJECTIVE White matter diffusivity measures of the fornix change with aging, which likely relates to changes in memory and cognition in older adults. Subregional variations in forniceal diffusivity may exist, given its heterogeneous anatomy and connectivity; however, these have not been closely examined in vivo. We examined diffusivity parameters (fractional anisotropy, FA; radial diffusivity, RD; axial diffusivity, AD) in forniceal subregions of healthy subjects and correlated them with age and hippocampal volume. METHODS Diffusion-weighted imaging and streamline tractography of the fornix were performed on 20 healthy, right-handed females (23-66 years). Six anatomical subregions were defined: midline (body, column, precommissural fornix) or lateral (fimbria, crura, postcommissural fornix). Regression analysis was performed comparing diffusivities against age. Hippocampal and ventricular volumes were also compared. RESULTS Diffusivity values revealed statistical changes with age in both midline and lateralized subregions. The fornix body and left crus showed age-related alterations in all metrics (FA, RD, AD), whereas only right crus FA was altered. There was no significant change in hippocampal volumes, suggesting that forniceal changes may precede hippocampal age-related changes. CONCLUSIONS Age-related changes in fornix diffusivity measures appear subregion dependent and asymmetrical. Specific subregion diffusivity measures may be a more sensitive aging marker than hippocampal volume change.
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Affiliation(s)
- David Qixiang Chen
- Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, Ont., Canada
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Fraser MA, Shaw ME, Cherbuin N. A systematic review and meta-analysis of longitudinal hippocampal atrophy in healthy human ageing. Neuroimage 2015; 112:364-374. [PMID: 25800208 DOI: 10.1016/j.neuroimage.2015.03.035] [Citation(s) in RCA: 114] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2014] [Revised: 02/13/2015] [Accepted: 03/14/2015] [Indexed: 12/31/2022] Open
Abstract
INTRODUCTION This review aimed to produce hippocampal atrophy rate estimates from healthy ageing studies as well as control samples from observational studies across the adult lifespan which can be used as benchmarks to evaluate abnormal changes in pathological conditions. METHODS The review followed PRISMA guidelines. PUBMED (to February 2014) was searched for longitudinal MRI studies reporting hippocampal atrophy or volume change in cognitively healthy individuals. Titles were screened and non-English, duplicate or irrelevant entries were excluded. Remaining record abstracts were reviewed to identify studies for full text retrieval. Full text was retrieved and screened against inclusion/exclusion criteria. Bibliographies and previous reviews were examined to identify additional studies. Data were summarised using meta-analysis and age, segmentation technique and study type were tested as potential moderators using meta-regression. It was hypothesised that population studies would produce higher atrophy rates than clinical observational studies. RESULTS The systematic search identified 4410 entries and 119 studies were retrieved with 58 failing selection or quality criteria, 30 were excluded as multiple reports and 3 studies were unsuitable for meta-analysis. The remaining 28 studies were included in the meta-analysis, n=3422, 44.65% male, 11,735 person-years of follow-up, mean age was 24.50 to 83 years. Mean total hippocampal atrophy for the entire sample was 0.85% per year (95% CI 0.63, 1.07). Age based atrophy rates were 0.38% per year (CI 0.14, 0.62) for studies with mean age <55 years (n=413), 0.98% (CI 0.27, 1.70) for 55 to <70 years (n=426), and 1.12% (CI 0.86, 1.38) for ≥70 years (n=2583). Meta-regression indicated age was associated with increased atrophy rates of 0.0263% (CI 0.0146, 0.0379) per year and automated segmentation approaches were associated with a reduced atrophy rate of -0.466% (CI -0.841, -0.090). Population studies were not associated with a significant effect on atrophy. Analyses of 11 studies separately measuring left and right hippocampal atrophy (n=1142) provided little evidence of laterality effects. While no study separately reported atrophy by gender, a number tested for gender effects and 2 studies reported higher atrophy in males. CONCLUSIONS Hippocampal atrophy rates increase with age with the largest increases occurring from midlife onwards. Manual segmentation approaches result in higher measured atrophy rates.
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Affiliation(s)
- Mark A Fraser
- Centre for Research on Ageing, Health and Wellbeing, Florey, Building 54, Mills Road, Australian National University, Canberra, ACT 2601, Australia.
| | - Marnie E Shaw
- Centre for Research on Ageing, Health and Wellbeing, Florey, Building 54, Mills Road, Australian National University, Canberra, ACT 2601, Australia
| | - Nicolas Cherbuin
- Centre for Research on Ageing, Health and Wellbeing, Florey, Building 54, Mills Road, Australian National University, Canberra, ACT 2601, Australia
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Bailey HR, Sargent JQ, Flores S, Nowotny P, Goate A, Zacks JM. APOE ε4 genotype predicts memory for everyday activities. NEUROPSYCHOLOGY, DEVELOPMENT, AND COGNITION. SECTION B, AGING, NEUROPSYCHOLOGY AND COGNITION 2015; 22:639-66. [PMID: 25754878 PMCID: PMC4537694 DOI: 10.1080/13825585.2015.1020916] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
The apolipoprotein E (ApOE) ε4 allele is associated with neuropathological buildup of amyloid in the brain, and with lower performance on some laboratory measures of memory in some populations. In two studies, we tested whether ApOE genotype affects memory for everyday activities. In Study 1, participants aged 20-79 years old (n = 188) watched movies of actors engaged in daily activities and completed memory tests for the activities in the movies. In Study 2, cognitively healthy and demented older adults (n = 97) watched and remembered similar movies, and also underwent structural MRI scanning. All participants provided saliva samples for genetic analysis. In both samples we found that, in older adults, ApOE ε4 carriers demonstrated worse everyday memory performance than did ε4 noncarriers. In Study 2, ApOE ε4 carriers had smaller medial temporal lobes (MTL) volumes, and MTL volume mediated the relationship between ApOE genotype and everyday memory performance. These everyday memory tasks measure genetically determined cognitive decline that can occur prior to a clinical diagnosis of dementia. Further, these tasks are easily administered and may be a useful clinical tool in identifying ε4 carriers who may be at risk for MTL atrophy and further cognitive decline that is a common characteristic of the earliest stages of Alzheimer's disease.
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Affiliation(s)
- Heather R Bailey
- a Department of Psychology , Washington University , St. Louis , MO , USA
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Hill DLG, Schwarz AJ, Isaac M, Pani L, Vamvakas S, Hemmings R, Carrillo MC, Yu P, Sun J, Beckett L, Boccardi M, Brewer J, Brumfield M, Cantillon M, Cole PE, Fox N, Frisoni GB, Jack C, Kelleher T, Luo F, Novak G, Maguire P, Meibach R, Patterson P, Bain L, Sampaio C, Raunig D, Soares H, Suhy J, Wang H, Wolz R, Stephenson D. Coalition Against Major Diseases/European Medicines Agency biomarker qualification of hippocampal volume for enrichment of clinical trials in predementia stages of Alzheimer's disease. Alzheimers Dement 2015; 10:421-429.e3. [PMID: 24985687 DOI: 10.1016/j.jalz.2013.07.003] [Citation(s) in RCA: 72] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2013] [Revised: 06/26/2013] [Accepted: 07/23/2013] [Indexed: 01/24/2023]
Abstract
BACKGROUND Regulatory qualification of a biomarker for a defined context of use provides scientifically robust assurances to sponsors and regulators that accelerate appropriate adoption of biomarkers into drug development. METHODS The Coalition Against Major Diseases submitted a dossier to the Scientific Advice Working Party of the European Medicines Agency requesting a qualification opinion on the use of hippocampal volume as a biomarker for enriching clinical trials in subjects with mild cognitive impairment, incorporating a scientific rationale, a literature review and a de novo analysis of Alzheimer's Disease Neuroimaging Initiative data. RESULTS The literature review and de novo analysis were consistent with the proposed context of use, and the Committee for Medicinal Products for Human Use released an opinion in November 2011. CONCLUSIONS We summarize the scientific rationale and the data that supported the first qualification of an imaging biomarker by the European Medicines Agency.
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Affiliation(s)
| | | | | | - Luca Pani
- European Medicines Agency, London, UK
| | | | | | | | - Peng Yu
- Eli Lilly and Company, Indianapolis, IN, USA
| | - Jia Sun
- Eli Lilly and Company, Indianapolis, IN, USA; The University of Texas School of Public Health, Houston, TX, USA
| | | | | | | | - Martha Brumfield
- Coalition Against Major Diseases, Critical Path Institute, Tucson, AZ, USA
| | | | | | - Nick Fox
- UCL Institute of Neurology, London, UK
| | | | | | | | - Feng Luo
- Bristol Myers Squibb, Wallingford, CT, USA
| | - Gerald Novak
- Janssen Pharmaceutical Research and Development, Titusville, NJ, USA
| | | | | | | | - Lisa Bain
- Independent science writer, Elverson, PA, USA
| | | | | | | | | | | | - Robin Wolz
- IXICO Ltd., London, UK; Department of Computing, Imperial College London, London, UK
| | - Diane Stephenson
- Coalition Against Major Diseases, Critical Path Institute, Tucson, AZ, USA.
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Miller MA, Leckie RL, Donofry SD, Gianaros PJ, Erickson KI, Manuck SB, Roecklein KA. Photoperiod is associated with hippocampal volume in a large community sample. Hippocampus 2015; 25:534-43. [PMID: 25394737 DOI: 10.1002/hipo.22390] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/12/2014] [Indexed: 11/10/2022]
Abstract
Although animal research has demonstrated seasonal changes in hippocampal volume, reflecting seasonal neuroplasticity, seasonal differences in human hippocampal volume have yet to be documented. Hippocampal volume has also been linked to depressed mood, a seasonally varying phenotype. Therefore, we hypothesized that seasonal differences in day-length (i.e., photoperiod) would predict differences in hippocampal volume, and that this association would be linked to low mood. Healthy participants aged 30-54 (M=43; SD=7.32) from the University of Pittsburgh Adult Health and Behavior II project (n=404; 53% female) were scanned in a 3T MRI scanner. Hippocampal volumes were determined using an automated segmentation algorithm using FreeSurfer. A mediation model tested whether hippocampal volume mediated the relationship between photoperiod and mood. Secondary analyses included seasonally fluctuating variables (i.e., sleep and physical activity) which have been shown to influence hippocampal volume. Shorter photoperiods were significantly associated with higher BDI scores (R(2)=0.01, β=-0.12, P=0.02) and smaller hippocampal volumes (R(2)=0.40, β=0.08, P=0.04). However, due to the lack of an association between hippocampal volume and Beck Depression Inventory scores in the current sample, the mediation hypothesis was not supported. This study is the first to demonstrate an association between season and hippocampal volume. These data offer preliminary evidence that human hippocampal plasticity could be associated with photoperiod and indicates a need for longitudinal studies.
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Affiliation(s)
- Megan A Miller
- Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania
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Braakman HMH, Vaessen MJ, Jansen JFA, Debeij-van Hall MHJA, de Louw A, Hofman PAM, Vles JSH, Aldenkamp AP, Backes WH. Aetiology of cognitive impairment in children with frontal lobe epilepsy. Acta Neurol Scand 2015; 131:17-29. [PMID: 25208759 DOI: 10.1111/ane.12283] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/10/2014] [Indexed: 11/30/2022]
Abstract
OBJECTIVES Cognitive impairment is frequent in children with frontal lobe epilepsy (FLE), but its aetiology is unknown. MRI scans often reveal no structural brain abnormalities that could explain the cognitive impairment. This does not exclude more subtle morphological abnormalities that can only be detected by automated morphometric techniques. AIMS With these techniques, we investigate the relationship between cortical brain morphology and cognitive functioning in a cohort of children with FLE and healthy controls. MATERIALS AND METHODS Thirty-four children aged 8-13 years with FLE of unknown cause and 41 healthy age-matched controls underwent neuropsychological assessment and structural brain MRI. Patients were grouped as cognitively impaired or unimpaired. Intracranial volume, white matter volume, lobular cortical volume, cortical thickness and volumes of cortex structures were compared between patients and controls, and potential correlations with cognitive status were determined. RESULTS The group of cognitively impaired children with FLE had significantly smaller left temporal cortex volumes, specifically middle temporal grey matter volume and entorhinal cortex thickness. In addition, cognitively impaired children with FLE had smaller volumes of structures in the left and right frontal cortex, right temporal cortex and the left subcortical area. CONCLUSION Cognitively impaired children with FLE have smaller volumes of various cortex structures within the frontal lobes and in extra-frontal regions, most notably temporal cortex volumes. These findings might well explain the broad scale of cognitive domains affected in children with FLE complicated by cognitive impairment and highlight that FLE impacts on areas beyond the frontal lobe.
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Affiliation(s)
- H. M. H. Braakman
- Department of Neurology; Maastricht University Medical Centre; Maastricht the Netherlands
- Research School for Mental Health & Neuroscience; Maastricht University Medical Centre; Maastricht the Netherlands
- Department of Research and Development; Epilepsy Centre Kempenhaeghe; Heeze the Netherlands
| | - M. J. Vaessen
- Research School for Mental Health & Neuroscience; Maastricht University Medical Centre; Maastricht the Netherlands
- Department of Research and Development; Epilepsy Centre Kempenhaeghe; Heeze the Netherlands
- Department of Radiology; Maastricht University Medical Centre; Maastricht the Netherlands
| | - J. F. A. Jansen
- Research School for Mental Health & Neuroscience; Maastricht University Medical Centre; Maastricht the Netherlands
- Department of Radiology; Maastricht University Medical Centre; Maastricht the Netherlands
| | | | - A. de Louw
- Department of Research and Development; Epilepsy Centre Kempenhaeghe; Heeze the Netherlands
| | - P. A. M. Hofman
- Research School for Mental Health & Neuroscience; Maastricht University Medical Centre; Maastricht the Netherlands
- Department of Research and Development; Epilepsy Centre Kempenhaeghe; Heeze the Netherlands
- Department of Radiology; Maastricht University Medical Centre; Maastricht the Netherlands
| | - J. S. H. Vles
- Department of Neurology; Maastricht University Medical Centre; Maastricht the Netherlands
- Research School for Mental Health & Neuroscience; Maastricht University Medical Centre; Maastricht the Netherlands
- Department of Research and Development; Epilepsy Centre Kempenhaeghe; Heeze the Netherlands
| | - A. P. Aldenkamp
- Department of Neurology; Maastricht University Medical Centre; Maastricht the Netherlands
- Research School for Mental Health & Neuroscience; Maastricht University Medical Centre; Maastricht the Netherlands
- Department of Research and Development; Epilepsy Centre Kempenhaeghe; Heeze the Netherlands
| | - W. H. Backes
- Research School for Mental Health & Neuroscience; Maastricht University Medical Centre; Maastricht the Netherlands
- Department of Radiology; Maastricht University Medical Centre; Maastricht the Netherlands
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Larouche E, Hudon C, Goulet S. Potential benefits of mindfulness-based interventions in mild cognitive impairment and Alzheimer's disease: an interdisciplinary perspective. Behav Brain Res 2014; 276:199-212. [PMID: 24893317 DOI: 10.1016/j.bbr.2014.05.058] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2014] [Revised: 05/20/2014] [Accepted: 05/26/2014] [Indexed: 12/22/2022]
Abstract
The present article is based on the premise that the risk of developing Alzheimer's disease (AD) from its prodromal phase (mild cognitive impairment; MCI) is higher when adverse factors (e.g., stress, depression, and metabolic syndrome) are present and accumulate. Such factors augment the likelihood of hippocampal damage central in MCI/AD aetiology, as well as compensatory mechanisms failure triggering a switch toward neurodegeneration. Because of the devastating consequences of AD, there is a need for early interventions that can delay, perhaps prevent, the transition from MCI to AD. We hypothesize that mindfulness-based interventions (MBI) show promise with regard to this goal. The present review discusses the associations between modifiable adverse factors and MCI/AD decline, MBI's impacts on adverse factors, and the mechanisms that could underlie the benefits of MBI. A schematic model is proposed to illustrate the course of neurodegeneration specific to MCI/AD, as well as the possible preventive mechanisms of MBI. Whereas regulation of glucocorticosteroids, inflammation, and serotonin could mediate MBI's effects on stress and depression, resolution of the metabolic syndrome might happen through a reduction of inflammation and white matter hyperintensities, and normalization of insulin and oxidation. The literature reviewed in this paper suggests that the main reach of MBI over MCI/AD development involves the management of stress, depressive symptoms, and inflammation. Future research must focus on achieving deeper understanding of MBI's mechanisms of action in the context of MCI and AD. This necessitates bridging the gap between neuroscientific subfields and a cross-domain integration between basic and clinical knowledge.
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Affiliation(s)
- Eddy Larouche
- École de psychologie, Université Laval, 2325, rue des Bibliothèques, Québec, QC, Canada G1V 0A6; Centre de recherche de l'Institut universitaire en santé mentale de Québec (CRIUSMQ), 2601, de la Canardière (F-2400), Québec, QC, Canada G1J 2G3
| | - Carol Hudon
- École de psychologie, Université Laval, 2325, rue des Bibliothèques, Québec, QC, Canada G1V 0A6; Centre de recherche de l'Institut universitaire en santé mentale de Québec (CRIUSMQ), 2601, de la Canardière (F-2400), Québec, QC, Canada G1J 2G3
| | - Sonia Goulet
- École de psychologie, Université Laval, 2325, rue des Bibliothèques, Québec, QC, Canada G1V 0A6; Centre de recherche de l'Institut universitaire en santé mentale de Québec (CRIUSMQ), 2601, de la Canardière (F-2400), Québec, QC, Canada G1J 2G3.
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45
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Yin X, Liu C, Gui L, Zhao L, Zhang J, Wei L, Xie B, Zhou D, Li C, Wang J. Comparison of medial temporal measures between Binswanger's disease and Alzheimer's disease. PLoS One 2014; 9:e86423. [PMID: 24466084 PMCID: PMC3900523 DOI: 10.1371/journal.pone.0086423] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2013] [Accepted: 12/10/2013] [Indexed: 01/23/2023] Open
Abstract
Binswanger's disease (BD) is a common cause of vascular dementia in elderly patients; however, few studies have investigated the medial temporal lobe (MTL) atrophy in BD, and the differences in the atrophic patterns between BD and Alzheimer's disease (AD) remain largely unknown. Such knowledge is essential for understanding the pathologic basis of dementia. In this study, we collected structural magnetic resonance imaging (MRI) data from 16 normal controls, 14 patients with AD and 14 patients with BD. The volumes of the hippocampus and amygdala, and morphologic parameters (volume, surface area, cortical thickness and mean curvature) of the entorhinal cortex (ERC) and perirhinal cortex (PRC) were calculated using an automated approach. Volume reduction of the hippocampus, amygdala and ERC, and disturbance of the PRC curvature was found in both AD and BD patients compared with the controls (p<0.05, uncorrected). There were no significant differences among all the structural measures between the AD and BD patients. Finally, partial correlation analyses revealed that cognitive decline could be attributed to ERC thinning in AD and volume reduction of PRC in BD. We conclude that AD and BD exhibit similar atrophy patterns in the medial temporal cortices and deep gray matter but have distinct pathologic bases for cognitive impairments. Although atrophy of the MTL structures is a sensitive biomarker for AD, it is not superior for discrimination between AD and BD.
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Affiliation(s)
- Xuntao Yin
- Department of Radiology, Southwest Hospital, Third Military Medical University, Chongqing, China
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Chen Liu
- Department of Radiology, Southwest Hospital, Third Military Medical University, Chongqing, China
| | - Li Gui
- Department of Neurology, Southwest Hospital, Third Military Medical University, Chongqing, China
| | - Lu Zhao
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Jiuquan Zhang
- Department of Radiology, Southwest Hospital, Third Military Medical University, Chongqing, China
| | - Luqing Wei
- Department of Radiology, Southwest Hospital, Third Military Medical University, Chongqing, China
| | - Bing Xie
- Department of Radiology, Southwest Hospital, Third Military Medical University, Chongqing, China
| | - Daiquan Zhou
- Department of Radiology, Southwest Hospital, Third Military Medical University, Chongqing, China
| | - Chuanming Li
- Department of Radiology, Southwest Hospital, Third Military Medical University, Chongqing, China
- * E-mail: (JW); (CL)
| | - Jian Wang
- Department of Radiology, Southwest Hospital, Third Military Medical University, Chongqing, China
- * E-mail: (JW); (CL)
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Andrade-Moraes CH, Oliveira-Pinto AV, Castro-Fonseca E, da Silva CG, Guimarães DM, Szczupak D, Parente-Bruno DR, Carvalho LR, Polichiso L, Gomes BV, Oliveira LM, Rodriguez RD, Leite RE, Ferretti-Rebustini RE, Jacob-Filho W, Pasqualucci CA, Grinberg LT, Lent R. Cell number changes in Alzheimer's disease relate to dementia, not to plaques and tangles. Brain 2013; 136:3738-52. [PMID: 24136825 PMCID: PMC3859218 DOI: 10.1093/brain/awt273] [Citation(s) in RCA: 127] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2012] [Revised: 08/04/2013] [Accepted: 08/04/2013] [Indexed: 12/25/2022] Open
Abstract
Alzheimer's disease is the commonest cause of dementia in the elderly, but its pathological determinants are still debated. Amyloid-β plaques and neurofibrillary tangles have been implicated either directly as disruptors of neural function, or indirectly by precipitating neuronal death and thus causing a reduction in neuronal number. Alternatively, the initial cognitive decline has been attributed to subtle intracellular events caused by amyloid-β oligomers, resulting in dementia after massive synaptic dysfunction followed by neuronal degeneration and death. To investigate whether Alzheimer's disease is associated with changes in the absolute cell numbers of ageing brains, we used the isotropic fractionator, a novel technique designed to determine the absolute cellular composition of brain regions. We investigated whether plaques and tangles are associated with neuronal loss, or whether it is dementia that relates to changes of absolute cell composition, by comparing cell numbers in brains of patients severely demented with those of asymptomatic individuals-both groups histopathologically diagnosed as Alzheimer's-and normal subjects with no pathological signs of the disease. We found a great reduction of neuronal numbers in the hippocampus and cerebral cortex of demented patients with Alzheimer's disease, but not in asymptomatic subjects with Alzheimer's disease. We concluded that neuronal loss is associated with dementia and not the presence of plaques and tangles, which may explain why subjects with histopathological features of Alzheimer's disease can be asymptomatic; and exclude amyloid-β deposits as causes for the reduction of neuronal numbers in the brain. We found an increase of non-neuronal cell numbers in the cerebral cortex and subcortical white matter of demented patients with Alzheimer's disease when compared with asymptomatic subjects with Alzheimer's disease and control subjects, suggesting a reactive glial cell response in the former that may be related to the symptoms they present.
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Affiliation(s)
| | | | - Emily Castro-Fonseca
- 1 Institute of Biomedical Sciences, Federal University of Rio de Janeiro, Brazil
| | - Camila G. da Silva
- 1 Institute of Biomedical Sciences, Federal University of Rio de Janeiro, Brazil
| | - Daniel M. Guimarães
- 1 Institute of Biomedical Sciences, Federal University of Rio de Janeiro, Brazil
| | - Diego Szczupak
- 1 Institute of Biomedical Sciences, Federal University of Rio de Janeiro, Brazil
| | | | | | - Lívia Polichiso
- 2 Ageing Brain Study Group, Department of Pathology, LIM 22, University of São Paulo Medical School, São Paulo, Brazil
- 3 Department of Neurology, University of California, San Francisco, USA
| | - Bruna V. Gomes
- 1 Institute of Biomedical Sciences, Federal University of Rio de Janeiro, Brazil
| | - Lays M. Oliveira
- 1 Institute of Biomedical Sciences, Federal University of Rio de Janeiro, Brazil
| | - Roberta D. Rodriguez
- 2 Ageing Brain Study Group, Department of Pathology, LIM 22, University of São Paulo Medical School, São Paulo, Brazil
| | - Renata E.P. Leite
- 2 Ageing Brain Study Group, Department of Pathology, LIM 22, University of São Paulo Medical School, São Paulo, Brazil
| | - Renata E.L. Ferretti-Rebustini
- 2 Ageing Brain Study Group, Department of Pathology, LIM 22, University of São Paulo Medical School, São Paulo, Brazil
- 4 University of São Paulo Nursing School, São Paulo, Brazil
| | - Wilson Jacob-Filho
- 2 Ageing Brain Study Group, Department of Pathology, LIM 22, University of São Paulo Medical School, São Paulo, Brazil
- 5 Division of Geriatrics, University of São Paulo, Brazil
| | - Carlos A. Pasqualucci
- 2 Ageing Brain Study Group, Department of Pathology, LIM 22, University of São Paulo Medical School, São Paulo, Brazil
| | - Lea T. Grinberg
- 2 Ageing Brain Study Group, Department of Pathology, LIM 22, University of São Paulo Medical School, São Paulo, Brazil
- 3 Department of Neurology, University of California, San Francisco, USA
| | - Roberto Lent
- 1 Institute of Biomedical Sciences, Federal University of Rio de Janeiro, Brazil
- 6 National Institute of Translational Neuroscience, Ministry of Science and Technology, Brazil
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47
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Suri S, Heise V, Trachtenberg AJ, Mackay CE. The forgotten APOE allele: a review of the evidence and suggested mechanisms for the protective effect of APOE ɛ2. Neurosci Biobehav Rev 2013; 37:2878-86. [PMID: 24183852 DOI: 10.1016/j.neubiorev.2013.10.010] [Citation(s) in RCA: 146] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2013] [Revised: 09/22/2013] [Accepted: 10/21/2013] [Indexed: 01/05/2023]
Abstract
Ongoing efforts to improve survival, and enhance quality of life have led biomedical research to focus on disease and the mechanisms that increase risk for disease. The other side of that coin may be as important, i.e. examining the protective factors that allow some individuals to enjoy long, healthy lives. One of the best examples of a gene that positively influences cognitive health is the apolipoprotein (APOE) ɛ2 allele. The APOE ɛ4 allele is a well-established risk factor for Alzheimer's disease (AD) and has thus dominated the APOE literature, with the putative protective role of ɛ2 receiving little attention. This review describes the effects of APOE ɛ2 on the structure and function of the brain. With a focus on neurodegeneration, we discuss evidence for APOE ɛ2's protective effects, explore some key mechanisms through which this protection may be conferred, and address a few inconsistencies in the literature. Understanding the mechanisms that underlie the association between APOE ɛ2, cognition and longevity may provide new targets for research on promoting life-long health.
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Affiliation(s)
- Sana Suri
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford OX3 7JX, United Kingdom; FMRIB Centre (Oxford Centre for Functional Magnetic Resonance Imaging of the Brain), University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, United Kingdom.
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48
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Westerberg C, Mayes A, Florczak SM, Chen Y, Creery J, Parrish T, Weintraub S, Mesulam MM, Reber PJ, Paller KA. Distinct medial temporal contributions to different forms of recognition in amnestic mild cognitive impairment and Alzheimer's disease. Neuropsychologia 2013; 51:2450-61. [PMID: 23831717 DOI: 10.1016/j.neuropsychologia.2013.06.025] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2012] [Revised: 06/26/2013] [Accepted: 06/27/2013] [Indexed: 11/16/2022]
Abstract
The simplest expression of episodic memory is the experience of familiarity, the isolated recognition that something has been encountered previously. Brain structures of the medial temporal lobe (MTL) make essential contributions to episodic memory, but the distinct contributions from each MTL structure to familiarity are debatable. Here we used specialized tests to assess recognition impairments and their relationship to MTL integrity in people with amnestic mild cognitive impairment (aMCI, n=19), people with probable Alzheimer's disease (AD; n=10), and age-matched individuals without any neurological disorder (n=20). Recognition of previously presented silhouette objects was tested in two formats-forced-choice recognition with four concurrent choices (one target and three foils) and yes/no recognition with individually presented targets and foils. Every foil was extremely similar to a corresponding target, such that forced-choice recognition could be based on differential familiarity among the choices, whereas yes/no recognition necessitated additional memory and decision factors. Only yes/no recognition was impaired in the aMCI group, whereas both forced-choice and yes/no recognition were impaired in the AD group. Magnetic resonance imaging showed differential brain atrophy, as MTL volume was reduced in the AD group but not in the aMCI group. Pulsed arterial spin-labeled scans demonstrated that MTL blood flow was abnormally increased in aMCI, which could indicate physiological dysfunction prior to the emergence of significant atrophy. Regression analyses with data from all patients revealed that regional patterns of MTL integrity were differentially related to forced-choice and yes/no recognition. Smaller perirhinal cortex volume was associated with lower forced-choice recognition accuracy, but not with lower yes/no recognition accuracy. Instead, smaller hippocampal volumes were associated with lower yes/no recognition accuracy. In sum, familiarity memory can be specifically assessed using the forced-choice recognition test, it declines later than other MTL-dependent memory functions as AD progresses, and it has distinct anatomical substrates.
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Affiliation(s)
- Carmen Westerberg
- Department of Psychology, Texas State University, 601 University Drive, San Marcos, TX 78666, United States; Department of Psychology, Northwestern University, United States; Interdepartmental Neuroscience Program, Northwestern University, United States.
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Bailey HR, Zacks JM, Hambrick DZ, Zacks RT, Head D, Kurby CA, Sargent JQ. Medial temporal lobe volume predicts elders' everyday memory. Psychol Sci 2013; 24:1113-22. [PMID: 23630222 DOI: 10.1177/0956797612466676] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Deficits in memory for everyday activities are common complaints among healthy and demented older adults. The medial temporal lobes and dorsolateral prefrontal cortex are both affected by aging and early-stage Alzheimer's disease, and are known to influence performance on laboratory memory tasks. We investigated whether the volume of these structures predicts everyday memory. Cognitively healthy older adults and older adults with mild Alzheimer's-type dementia watched movies of everyday activities and completed memory tests on the activities. Structural MRI was used to measure brain volume. Medial temporal but not prefrontal volume strongly predicted subsequent memory. Everyday memory depends on segmenting activity into discrete events during perception, and medial temporal volume partially accounted for the relationship between performance on the memory tests and performance on an event-segmentation task. The everyday-memory measures used in this study involve retrieval of episodic and semantic information as well as working memory updating. Thus, the current findings suggest that during perception, the medial temporal lobes support the construction of event representations that determine subsequent memory.
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50
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Bennett DA, Schneider JA, Buchman AS, Barnes LL, Boyle PA, Wilson RS. Overview and findings from the rush Memory and Aging Project. Curr Alzheimer Res 2012; 9:646-63. [PMID: 22471867 DOI: 10.2174/156720512801322663] [Citation(s) in RCA: 633] [Impact Index Per Article: 52.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2011] [Revised: 12/28/2011] [Accepted: 01/31/2012] [Indexed: 12/29/2022]
Abstract
The Memory and Aging Project is a longitudinal, epidemiologic clinical-pathologic cohort study of common chronic conditions of aging with an emphasis on decline in cognitive and motor function and risk of Alzheimer's disease (AD). In this manuscript, we first summarize the study design and methods. Then, we present data on: (1) the relation of motor function to cognition, disability, and death; (2) the relation of risk factors to cognitive and motor outcomes, disability and death; (3) the relation of neuropathologic indices to cognitive outcomes; (4) the relation of risk factors to neuropathologic indices; and (5) additional study findings. The findings are discussed and contextualized.
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Affiliation(s)
- David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, 600 S. Paulina, Suite 1028, Chicago, IL 60612, USA.
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