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Wang L, Liang X, Wang J, Zhang Y, Fan Z, Sun T, Yu X, Wu D, Wang H. Cerebral dominance representation of directed connectivity within and between left-right hemispheres and frontal-posterior lobes in mild cognitive impairment. Cereb Cortex 2023; 33:11279-11286. [PMID: 37804252 DOI: 10.1093/cercor/bhad365] [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: 07/04/2023] [Revised: 09/11/2023] [Accepted: 09/12/2023] [Indexed: 10/09/2023] Open
Abstract
Electroencephalography can assess connectivity between brain hemispheres, potentially influencing cognitive functions. Much of the existing electroencephalography research primarily focuses on undirected connectivity, leaving uncertainties about directed connectivity alterations between left-right brain hemispheres or frontal-posterior lobes in mild cognitive impairment. We analyzed resting-state electroencephalography data from 34 mild cognitive impairment individuals and 23 normal controls using directed transfer function and graph theory for directed network analysis. Concerning the dominance within left-right hemispheres or frontal-posterior lobes, the mild cognitive impairment group exhibited decreased connectivity within the frontal compared with posterior brain regions in the delta and theta bands. Regarding the dominance between the brain hemispheres or lobes, the mild cognitive impairment group showed reduced connectivity from the posterior to the frontal regions versus the reverse direction in the same bands. Among all participants, the intra-lobe frontal-posterior dominance correlated positively with executive function in the delta and alpha bands. Inter-lobe dominance between frontal and posterior regions also positively correlated with executive function, attention, and language in the delta band. Additionally, interhemispheric dominance between the left and right hemispheres positively correlated with attention in delta and theta bands. These findings suggest altered cerebral dominance in mild cognitive impairment, potentially serving as electrophysiological markers for neurocognitive disorders.
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Affiliation(s)
- Luchun Wang
- Beijing Dementia Key Lab, Dementia Care and Research Center, Peking University Institute of Mental Health (Sixth Hospital), Beijing 100191, China
- NHC Key Laboratory of Mental Health, National Clinical Research Center for Mental Disorders, Peking University, Sixth Hospital, Beijing 100191, China
| | - Xixi Liang
- School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China
| | - Jing Wang
- Beijing Dementia Key Lab, Dementia Care and Research Center, Peking University Institute of Mental Health (Sixth Hospital), Beijing 100191, China
- NHC Key Laboratory of Mental Health, National Clinical Research Center for Mental Disorders, Peking University, Sixth Hospital, Beijing 100191, China
| | - Ying Zhang
- Beijing Dementia Key Lab, Dementia Care and Research Center, Peking University Institute of Mental Health (Sixth Hospital), Beijing 100191, China
- NHC Key Laboratory of Mental Health, National Clinical Research Center for Mental Disorders, Peking University, Sixth Hospital, Beijing 100191, China
| | - Zili Fan
- Beijing Dementia Key Lab, Dementia Care and Research Center, Peking University Institute of Mental Health (Sixth Hospital), Beijing 100191, China
- NHC Key Laboratory of Mental Health, National Clinical Research Center for Mental Disorders, Peking University, Sixth Hospital, Beijing 100191, China
- Beijing Anding Hospital, Capital Medical University, Beijing 100044, China
| | - Tingting Sun
- Beijing Dementia Key Lab, Dementia Care and Research Center, Peking University Institute of Mental Health (Sixth Hospital), Beijing 100191, China
- NHC Key Laboratory of Mental Health, National Clinical Research Center for Mental Disorders, Peking University, Sixth Hospital, Beijing 100191, China
- Department of Psychiatry, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, China
| | - Xin Yu
- Beijing Dementia Key Lab, Dementia Care and Research Center, Peking University Institute of Mental Health (Sixth Hospital), Beijing 100191, China
- NHC Key Laboratory of Mental Health, National Clinical Research Center for Mental Disorders, Peking University, Sixth Hospital, Beijing 100191, China
| | - Dan Wu
- School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China
| | - Huali Wang
- Beijing Dementia Key Lab, Dementia Care and Research Center, Peking University Institute of Mental Health (Sixth Hospital), Beijing 100191, China
- NHC Key Laboratory of Mental Health, National Clinical Research Center for Mental Disorders, Peking University, Sixth Hospital, Beijing 100191, China
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2
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Whitfield JF, Rennie K, Chakravarthy B. Alzheimer's Disease and Its Possible Evolutionary Origin: Hypothesis. Cells 2023; 12:1618. [PMID: 37371088 DOI: 10.3390/cells12121618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 05/29/2023] [Accepted: 06/08/2023] [Indexed: 06/29/2023] Open
Abstract
The enormous, 2-3-million-year evolutionary expansion of hominin neocortices to the current enormity enabled humans to take over the planet. However, there appears to have been a glitch, and it occurred without a compensatory expansion of the entorhinal cortical (EC) gateway to the hippocampal memory-encoding system needed to manage the processing of the increasing volume of neocortical data converging on it. The resulting age-dependent connectopathic glitch was unnoticed by the early short-lived populations. It has now surfaced as Alzheimer's disease (AD) in today's long-lived populations. With advancing age, processing of the converging neocortical data by the neurons of the relatively small lateral entorhinal cortex (LEC) inflicts persistent strain and high energy costs on these cells. This may result in their hyper-release of harmless Aβ1-42 monomers into the interstitial fluid, where they seed the formation of toxic amyloid-β oligomers (AβOs) that initiate AD. At the core of connectopathic AD are the postsynaptic cellular prion protein (PrPC). Electrostatic binding of the negatively charged AβOs to the positively charged N-terminus of PrPC induces hyperphosphorylation of tau that destroys synapses. The spread of these accumulating AβOs from ground zero is supported by Aβ's own production mediated by target cells' Ca2+-sensing receptors (CaSRs). These data suggest that an early administration of a strongly positively charged, AβOs-interacting peptide or protein, plus an inhibitor of CaSR, might be an effective AD-arresting therapeutic combination.
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Affiliation(s)
- James F Whitfield
- Human Health Therapeutics, National Research Council, Ottawa, ON K1A 0R6, Canada
| | - Kerry Rennie
- Human Health Therapeutics, National Research Council, Ottawa, ON K1A 0R6, Canada
| | - Balu Chakravarthy
- Human Health Therapeutics, National Research Council, Ottawa, ON K1A 0R6, Canada
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3
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Callow DD, Smith JC. Physical fitness, cognition, and structural network efficiency of brain connections across the lifespan. Neuropsychologia 2023; 182:108527. [PMID: 36871816 DOI: 10.1016/j.neuropsychologia.2023.108527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 01/19/2023] [Accepted: 02/27/2023] [Indexed: 03/06/2023]
Abstract
Inadequate levels of exercise is one of the most potent modifiable risk factors for preventing cognitive decline and dementia as we age. Meanwhile, network science-based measures of structural brain network global and local efficiency show promise as robust biomarkers of aging, cognitive decline, and pathological disease progression. Despite this, little to no work has established how maintaining physical activity (PA) and physical fitness might relate to cognition and network efficiency measures across the lifespan. Therefore the purpose of this study was to determine the relationship between (1) PA and fitness and cognition, (2) fitness and network efficiency, and (3) how network efficiency measures relate to cognition. To accomplish this, we analyzed a large cross-sectional data set (n = 720; 36-100 years) from the aging human connectome project, which included the Trail Making Task (TMT) A and B, a measure of fitness (2-min walk test), physical activity (International Physical Activity Questionnaire), and high-resolution diffusion imaging data. Our analysis consisted of employing multiple linear regression while controlling for age, sex, and education. Age was associated with lower global and local brain network efficiency and poorer Trail A & B performance. Meanwhile, fitness, but not physical activity, was related to better Trail A and B performance and fitness, and was positively associated with local and global brain efficiency. Finally, local efficiency was related to better TMT B performance and partially mediated the relationship between fitness and TMT B performance. These results indicate aging may be associated with a shift towards less efficient local and global neural networks and that maintaining physical fitness might protect against age-related cognitive performance deterioration by bolstering structural network efficiency.
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Affiliation(s)
- Daniel D Callow
- Department of Kinesiology, University of Maryland, College Park, MD, USA; Program in Neuroscience and Cognitive Science, University of Maryland, College Park, MD, USA
| | - J Carson Smith
- Department of Kinesiology, University of Maryland, College Park, MD, USA; Program in Neuroscience and Cognitive Science, University of Maryland, College Park, MD, USA.
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4
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Lepper S, Rädke A, Wehrmann H, Michalowsky B, Hoffmann W. Preferences of Cognitively Impaired Patients and Patients Living with Dementia: A Systematic Review of Quantitative Patient Preference Studies. J Alzheimers Dis 2021; 77:885-901. [PMID: 32741807 DOI: 10.3233/jad-191299] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
BACKGROUND Treatment decisions based on guidelines rather than patients' preferences determine adherence to and compliance with treatment, which, in turn, could improve health-related outcomes. OBJECTIVES To summarize the stated treatment and care preferences of people with dementia (PwD). METHODS A systematic review was conducted to assess the stated preferences of PwD. The inclusion criterion was the use of quantitative methods to elicit stated preferences, enabling a ranking of preferences. RESULTS Eleven studies revealed preferences for diagnostics, treatment decisions, patient-related outcomes, care services, end-of-life care, leisure activities, and digital life story work. PwDs prefer accurate, pain-free, and comfortable diagnostic procedures without radioactive markers as well as being accompanied by a caregiver. PwD's quality of life (QoL), self-efficacy, and depression were equally most important for PwD and caregivers. However, PwD memory was only important for caregivers but not for PwD, and caregiver QoL was moderately important for PwD but least important for caregivers. Additionally, comfort and family involvement were most important for patients' end-of-life care, whereas caregivers most preferred good communication and pain management. Also, preferences depend on the living situation: Patients living not alone prefer a regular care provider most, whereas those living alone only want to live nearby the caregiver. Preferences for leisure activities did not differ between past and present ratings, indicating that PwD prefer activities that have always been carried out. CONCLUSION Only a few studies have applied quantitative methods to elicit the preferences of PwD. More research is needed to capture the stated preferences for the treatment, care, and support of PwD to improve health-related outcomes and the allocation of healthcare resources.
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Affiliation(s)
- Simon Lepper
- German Center for Neurodegenerative Diseases (DZNE), site Rostock/Greifswald, Greifswald, Germany
| | - Anika Rädke
- German Center for Neurodegenerative Diseases (DZNE), site Rostock/Greifswald, Greifswald, Germany.,Institute for Community Medicine, Section Epidemiology of Health Care and Community Health, University Medicine Greifswald (UMG), Greifswald, Germany
| | - Hannah Wehrmann
- German Center for Neurodegenerative Diseases (DZNE), site Rostock/Greifswald, Greifswald, Germany
| | - Bernhard Michalowsky
- German Center for Neurodegenerative Diseases (DZNE), site Rostock/Greifswald, Greifswald, Germany
| | - Wolfgang Hoffmann
- German Center for Neurodegenerative Diseases (DZNE), site Rostock/Greifswald, Greifswald, Germany.,Institute for Community Medicine, Section Epidemiology of Health Care and Community Health, University Medicine Greifswald (UMG), Greifswald, Germany
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Ávila-Villanueva M, Gómez-Ramírez J, Ávila J, Fernández-Blázquez MA. Alzheimer's Disease and Empathic Abilities: The Proposed Role of the Cingulate Cortex. J Alzheimers Dis Rep 2021; 5:345-352. [PMID: 34189406 PMCID: PMC8203285 DOI: 10.3233/adr-200282] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
In recent years there has been increasing interest in examining the role of empathic abilities in Alzheimer’s disease (AD). Empathy, the ability to understand and share another person’s feelings, implies the existence of emotional and cognitive processes and is a pivotal aspect for success in social interactions. In turn, self-empathy is oriented to one’s thoughts and feelings. Decline of empathy and self-empathy can occur during the AD continuum and can be linked to different neuroanatomical pathways in which the cingulate cortex may play a crucial role. Here, we will summarize the involvement of empathic abilities through the AD continuum and further discuss the potential neurocognitive mechanisms that contribute to decline of empathy and self-empathy in AD.
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Affiliation(s)
- Marina Ávila-Villanueva
- Alzheimer Disease Research Unit, CIEN Foundation, Carlos III Institute of Health, Queen Sofía Foundation Alzheimer Center, Madrid, Spain
| | - Jaime Gómez-Ramírez
- Alzheimer Disease Research Unit, CIEN Foundation, Carlos III Institute of Health, Queen Sofía Foundation Alzheimer Center, Madrid, Spain
| | - Jesús Ávila
- Center of Molecular Biology Severo Ochoa (CSIC-UAM), Campus de Cantoblanco, Madrid, Spain.,Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Miguel A Fernández-Blázquez
- Alzheimer Disease Research Unit, CIEN Foundation, Carlos III Institute of Health, Queen Sofía Foundation Alzheimer Center, Madrid, Spain.,Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Complutense University of Madrid (UCM), Campus de Somosaguas, Pozuelo de Alarcón, Madrid, Spain
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Stefanovski L, Meier JM, Pai RK, Triebkorn P, Lett T, Martin L, Bülau K, Hofmann-Apitius M, Solodkin A, McIntosh AR, Ritter P. Bridging Scales in Alzheimer's Disease: Biological Framework for Brain Simulation With The Virtual Brain. Front Neuroinform 2021; 15:630172. [PMID: 33867964 PMCID: PMC8047422 DOI: 10.3389/fninf.2021.630172] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 03/08/2021] [Indexed: 12/18/2022] Open
Abstract
Despite the acceleration of knowledge and data accumulation in neuroscience over the last years, the highly prevalent neurodegenerative disease of AD remains a growing problem. Alzheimer's Disease (AD) is the most common cause of dementia and represents the most prevalent neurodegenerative disease. For AD, disease-modifying treatments are presently lacking, and the understanding of disease mechanisms continues to be incomplete. In the present review, we discuss candidate contributing factors leading to AD, and evaluate novel computational brain simulation methods to further disentangle their potential roles. We first present an overview of existing computational models for AD that aim to provide a mechanistic understanding of the disease. Next, we outline the potential to link molecular aspects of neurodegeneration in AD with large-scale brain network modeling using The Virtual Brain (www.thevirtualbrain.org), an open-source, multiscale, whole-brain simulation neuroinformatics platform. Finally, we discuss how this methodological approach may contribute to the understanding, improved diagnostics, and treatment optimization of AD.
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Affiliation(s)
- Leon Stefanovski
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology with Experimental Neurology, Brain Simulation Section, Berlin, Germany
| | - Jil Mona Meier
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology with Experimental Neurology, Brain Simulation Section, Berlin, Germany
| | - Roopa Kalsank Pai
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology with Experimental Neurology, Brain Simulation Section, Berlin, Germany
- Bernstein Center for Computational Neuroscience Berlin, Berlin, Germany
| | - Paul Triebkorn
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology with Experimental Neurology, Brain Simulation Section, Berlin, Germany
- Institut de Neurosciences des Systèmes, Aix Marseille Université, Marseille, France
| | - Tristram Lett
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology with Experimental Neurology, Brain Simulation Section, Berlin, Germany
| | - Leon Martin
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology with Experimental Neurology, Brain Simulation Section, Berlin, Germany
| | - Konstantin Bülau
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology with Experimental Neurology, Brain Simulation Section, Berlin, Germany
| | - Martin Hofmann-Apitius
- Fraunhofer Institute for Algorithms and Scientific Computing SCAI, Sankt Augustin, Germany
| | - Ana Solodkin
- Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, United States
| | | | - Petra Ritter
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology with Experimental Neurology, Brain Simulation Section, Berlin, Germany
- Bernstein Center for Computational Neuroscience Berlin, Berlin, Germany
- Einstein Center for Neuroscience Berlin, Berlin, Germany
- Einstein Center Digital Future, Berlin, Germany
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7
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Eckert MA, Harris KC, Lang H, Lewis MA, Schmiedt RA, Schulte BA, Steel KP, Vaden KI, Dubno JR. Translational and interdisciplinary insights into presbyacusis: A multidimensional disease. Hear Res 2021; 402:108109. [PMID: 33189490 PMCID: PMC7927149 DOI: 10.1016/j.heares.2020.108109] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 10/19/2020] [Accepted: 10/25/2020] [Indexed: 12/18/2022]
Abstract
There are multiple etiologies and phenotypes of age-related hearing loss or presbyacusis. In this review we summarize findings from animal and human studies of presbyacusis, including those that provide the theoretical framework for distinct metabolic, sensory, and neural presbyacusis phenotypes. A key finding in quiet-aged animals is a decline in the endocochlear potential (EP) that results in elevated pure-tone thresholds across frequencies with greater losses at higher frequencies. In contrast, sensory presbyacusis appears to derive, in part, from acute and cumulative effects on hair cells of a lifetime of environmental exposures (e.g., noise), which often result in pronounced high frequency hearing loss. These patterns of hearing loss in animals are recognizable in the human audiogram and can be classified into metabolic and sensory presbyacusis phenotypes, as well as a mixed metabolic+sensory phenotype. However, the audiogram does not fully characterize age-related changes in auditory function. Along with the effects of peripheral auditory system declines on the auditory nerve, primary degeneration in the spiral ganglion also appears to contribute to central auditory system aging. These inner ear alterations often correlate with structural and functional changes throughout the central nervous system and may explain suprathreshold speech communication difficulties in older adults with hearing loss. Throughout this review we highlight potential methods and research directions, with the goal of advancing our understanding, prevention, diagnosis, and treatment of presbyacusis.
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Affiliation(s)
- Mark A Eckert
- Medical University of South Carolina, Department of Otolaryngology - Head and Neck Surgery, Charleston, SC 29425, USA.
| | - Kelly C Harris
- Medical University of South Carolina, Department of Otolaryngology - Head and Neck Surgery, Charleston, SC 29425, USA
| | - Hainan Lang
- Medical University of South Carolina, Department of Pathology and Laboratory Medicine, Charleston, SC 29425, USA
| | - Morag A Lewis
- King's College London, Wolfson Centre for Age-Related Diseases, London SE1 1UL, United Kingdom
| | - Richard A Schmiedt
- Medical University of South Carolina, Department of Otolaryngology - Head and Neck Surgery, Charleston, SC 29425, USA
| | - Bradley A Schulte
- Medical University of South Carolina, Department of Pathology and Laboratory Medicine, Charleston, SC 29425, USA; Medical University of South Carolina, Department of Otolaryngology - Head and Neck Surgery, Charleston, SC 29425, USA
| | - Karen P Steel
- King's College London, Wolfson Centre for Age-Related Diseases, London SE1 1UL, United Kingdom
| | - Kenneth I Vaden
- Medical University of South Carolina, Department of Otolaryngology - Head and Neck Surgery, Charleston, SC 29425, USA
| | - Judy R Dubno
- Medical University of South Carolina, Department of Otolaryngology - Head and Neck Surgery, Charleston, SC 29425, USA; Medical University of South Carolina, Department of Pathology and Laboratory Medicine, Charleston, SC 29425, USA
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8
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Velioglu HA, Hanoglu L, Bayraktaroglu Z, Toprak G, Guler EM, Bektay MY, Mutlu-Burnaz O, Yulug B. Left lateral parietal rTMS improves cognition and modulates resting brain connectivity in patients with Alzheimer's disease: Possible role of BDNF and oxidative stress. Neurobiol Learn Mem 2021; 180:107410. [PMID: 33610772 DOI: 10.1016/j.nlm.2021.107410] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2020] [Revised: 01/11/2021] [Accepted: 02/14/2021] [Indexed: 12/22/2022]
Abstract
Repetitive Transcranial Magnetic Stimulation (rTMS) is a non-invasive neuromodulation technique which is increasingly used for cognitive impairment in Alzheimer's Disease (AD). Although rTMS has been shown to modify Brain-Derived Neurotrophic Factor (BDNF) and oxidative stress levels in many neurological and psychiatric diseases, there is still no study evaluating the relationship between memory performance, BDNF, oxidative stress, and resting brain connectivity following rTMS in Alzheimer's patients. Furthermore, there are increasing clinical data showing that the stimulation of strategic brain regions may lead to more robust improvements in memory functions compared to conventional rTMS. In this study, we aimed to evaluate the possible disease-modifying effects of rTMS on the lateral parietal cortex in AD patients who have the highest connectivity with the hippocampus. To fill the mentioned research gaps, we have evaluated the relationships between resting-state Functional Magnetic Resonance Imaging (fMRI), cognitive scores, blood BDNF levels, and total oxidative/antioxidant status to explain the therapeutic and potential disease-modifying effects of rTMS which has been applied at 20 Hz frequencies for two weeks. Our results showed significantly increased visual recognition memory functions and clock drawing test scores which were associated with elevated peripheral BDNF levels, and decreased oxidant status after two weeks of left lateral parietal TMS stimulation. Clinically our findings suggest that the left parietal region targeted rTMS application leads to significant improvement in familiarity-based cognition associated with the network connections between the left parietal region and the hippocampus.
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Affiliation(s)
- Halil Aziz Velioglu
- Istanbul Medipol University, Health Sciences and Technology Research Institute (SABITA), Regenerative and Restorative Medicine Research Center (REMER), functional Imaging and Cognitive-Affective Neuroscience Lab (fINCAN), Istanbul, Turkey
| | - Lutfu Hanoglu
- Istanbul Medipol University, Health Sciences and Technology Research Institute (SABITA), Regenerative and Restorative Medicine Research Center (REMER), functional Imaging and Cognitive-Affective Neuroscience Lab (fINCAN), Istanbul, Turkey; Istanbul Medipol University School of Medicine, Department of Neurology, Istanbul, Turkey
| | - Zubeyir Bayraktaroglu
- Istanbul Medipol University, Health Sciences and Technology Research Institute (SABITA), Regenerative and Restorative Medicine Research Center (REMER), functional Imaging and Cognitive-Affective Neuroscience Lab (fINCAN), Istanbul, Turkey; Istanbul Medipol University, International School of Medicine Department of Physiology, Istanbul, Turkey
| | - Guven Toprak
- Istanbul Medipol University, Health Sciences and Technology Research Institute (SABITA), Regenerative and Restorative Medicine Research Center (REMER), functional Imaging and Cognitive-Affective Neuroscience Lab (fINCAN), Istanbul, Turkey
| | - Eray Metin Guler
- University of Health Sciences Hamidiye School of Medicine, Department of Medical Biochemistry, Istanbul, Turkey; University of Health Sciences, Haydarpasa Numune Health Application and Research Center, Department of Medical Biochemistry, Istanbul, Turkey
| | - Muhammed Yunus Bektay
- Bezmialem Vakif University School of Pharmacy, Department of Clinical Pharmacy, Istanbul, Turkey; Marmara University School of Pharmacy, Department of Clinical Pharmacy, Istanbul, Turkey
| | - Ozlem Mutlu-Burnaz
- Istanbul Medipol University, Health Sciences and Technology Research Institute (SABITA), Regenerative and Restorative Medicine Research Center (REMER), functional Imaging and Cognitive-Affective Neuroscience Lab (fINCAN), Istanbul, Turkey
| | - Burak Yulug
- Alanya Alaaddin Keykubat University School of Medicine, Department of Neurology, Alanya/Antalya, Turkey.
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Carr SJA, Gershon A, Shafiabadi N, Lhatoo SD, Tatsuoka C, Sahoo SS. An Integrative Approach to Study Structural and Functional Network Connectivity in Epilepsy Using Imaging and Signal Data. Front Integr Neurosci 2021; 14:491403. [PMID: 33510622 PMCID: PMC7835283 DOI: 10.3389/fnint.2020.491403] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Accepted: 11/30/2020] [Indexed: 12/22/2022] Open
Abstract
A key area of research in epilepsy neurological disorder is the characterization of epileptic networks as they form and evolve during seizure events. In this paper, we describe the development and application of an integrative workflow to analyze functional and structural connectivity measures during seizure events using stereotactic electroencephalogram (SEEG) and diffusion weighted imaging data (DWI). We computed structural connectivity measures using electrode locations involved in recording SEEG signal data as reference points to filter fiber tracts. We used a new workflow-based tool to compute functional connectivity measures based on non-linear correlation coefficient, which allows the derivation of directed graph structures to represent coupling between signal data. We applied a hierarchical clustering based network analysis method over the functional connectivity data to characterize the organization of brain network into modules using data from 27 events across 8 seizures in a patient with refractory left insula epilepsy. The visualization of hierarchical clustering values as dendrograms shows the formation of connected clusters first within each insulae followed by merging of clusters across the two insula; however, there are clear differences between the network structures and clusters formed across the 8 seizures of the patient. The analysis of structural connectivity measures showed strong connections between contacts of certain electrodes within the same brain hemisphere with higher prevalence in the perisylvian/opercular areas. The combination of imaging and signal modalities for connectivity analysis provides information about a patient-specific dynamical functional network and examines the underlying structural connections that potentially influences the properties of the epileptic network. We also performed statistical analysis of the absolute changes in correlation values across all 8 seizures during a baseline normative time period and different seizure events, which showed decreased correlation values during seizure onset; however, the changes during ictal phases were varied.
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Affiliation(s)
- Sarah J. A. Carr
- Department of Neurology, School of Medicine Case Western Reserve University, Cleveland, OH, United States
- Neuroimaging Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Arthur Gershon
- Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, United States
| | - Nassim Shafiabadi
- Department of Neurology, School of Medicine Case Western Reserve University, Cleveland, OH, United States
- Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, United States
| | - Samden D. Lhatoo
- Department of Neurology, School of Medicine Case Western Reserve University, Cleveland, OH, United States
| | - Curtis Tatsuoka
- Department of Neurology, School of Medicine Case Western Reserve University, Cleveland, OH, United States
- Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, United States
| | - Satya S. Sahoo
- Department of Neurology, School of Medicine Case Western Reserve University, Cleveland, OH, United States
- Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, United States
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10
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Nguyen L, Murphy K, Andrews G. Cognitive and neural plasticity in old age: A systematic review of evidence from executive functions cognitive training. Ageing Res Rev 2019; 53:100912. [PMID: 31154013 DOI: 10.1016/j.arr.2019.100912] [Citation(s) in RCA: 68] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Revised: 05/01/2019] [Accepted: 05/27/2019] [Indexed: 10/26/2022]
Abstract
Cognitive training is a popular intervention aimed at attenuating age-related cognitive decline, however, the effects of this intervention on brain structure and function have not been thoroughly explored. Core executive functions (working memory, inhibition, cognitive flexibility) are dependent upon prefrontal brain regions-one of the most vulnerable areas of age-related decline. They are also implicated in numerous cognitive processes and higher-order functions. Training executive functions should therefore promote cognitive and neural enhancements in old age. This systematic review examined the effects of executive functions training on brain and cognition amongst healthy older adults across 20 studies. Behavioral performance consistently improved on trained cognitive tasks, though mixed findings were reported for untrained tasks. Training-related structural changes were reported, evidenced through increases in grey matter and cortical volume. Functional changes were not consistent, though a general pattern of increased subcortical and decreased frontal and parietal activation emerged across studies, indicating that training may potentially reduce reliance on compensatory neural mechanisms. Training executive functions appears to promote cognitive and neural plasticity in old age, though further research is required to develop a more comprehensive framework which connects and elucidates the mechanisms underlying cognitive training, cognitive transfer, and cognitive aging.
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11
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Knodt AR, Burke JR, Welsh-Bohmer KA, Plassman BL, Burns DK, Brannan SK, Kukulka M, Wu J, Hariri AR. Effects of pioglitazone on mnemonic hippocampal function: A blood oxygen level-dependent functional magnetic resonance imaging study in elderly adults. ALZHEIMERS & DEMENTIA-TRANSLATIONAL RESEARCH & CLINICAL INTERVENTIONS 2019; 5:254-263. [PMID: 31304231 PMCID: PMC6603333 DOI: 10.1016/j.trci.2019.05.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
Abstract
Introduction Mitochondrial dysfunction is implicated in the pathophysiology of Alzheimer's disease (AD). Accordingly, drugs that positively influence mitochondrial function are being evaluated in delay-of-onset clinical trials with at-risk individuals. Such ongoing clinical research can be advanced by developing a better understanding of how these drugs affect intermediate brain phenotypes associated with both AD risk and pathophysiology. Methods Using a randomized, parallel-group, placebo-controlled design in 55 healthy elderly volunteers, we explored the effects of oral, low-dose pioglitazone, a thiazolidinedione with promitochondrial effects, on hippocampal activity measured with functional magnetic resonance imaging during the encoding of novel face–name pairs. Results Compared with placebo, 0.6 mg of pioglitazone (but not 2.1 mg, 3.9 mg, or 6.0 mg) administered daily for 14 days was associated with significant increases in right hippocampal activation during encoding of novel face–name pairs at day 7 and day 14, relative to baseline. Discussion Our exploratory analyses suggest that low-dose pioglitazone has measurable effects on mnemonic brain function associated with AD risk and pathophysiology. Right hippocampal activity increased after 7 and 14 days of 0.6 mg of oral pioglitazone administration. Pioglitazone-associated hippocampal effects were not manifested at the level of memory performance. Nonspecific increases in distributed brain activity at higher pioglitazone doses (>0.6 mg).
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Affiliation(s)
- Annchen R Knodt
- Laboratory of NeuroGenetics, Department of Psychology & Neuroscience, Duke University, Durham, NC, USA
| | - James R Burke
- Department of Neurology, Duke University School of Medicine, Durham, NC, USA.,Bryan Alzheimer's Disease Research Center, Duke University School of Medicine, Durham, NC, USA
| | - Kathleen A Welsh-Bohmer
- Department of Neurology, Duke University School of Medicine, Durham, NC, USA.,Bryan Alzheimer's Disease Research Center, Duke University School of Medicine, Durham, NC, USA.,Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Brenda L Plassman
- Department of Neurology, Duke University School of Medicine, Durham, NC, USA.,Bryan Alzheimer's Disease Research Center, Duke University School of Medicine, Durham, NC, USA.,Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
| | | | | | - Michael Kukulka
- Takeda Development Center Americas, Inc., Deerfield, IL, USA
| | - Jingtao Wu
- Takeda Development Center Americas, Inc., Deerfield, IL, USA
| | - Ahmad R Hariri
- Laboratory of NeuroGenetics, Department of Psychology & Neuroscience, Duke University, Durham, NC, USA
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12
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Hassan M, Abbas Q, Seo SY, Shahzadi S, Ashwal HA, Zaki N, Iqbal Z, Moustafa AA. Computational modeling and biomarker studies of pharmacological treatment of Alzheimer's disease (Review). Mol Med Rep 2018; 18:639-655. [PMID: 29845262 PMCID: PMC6059694 DOI: 10.3892/mmr.2018.9044] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2017] [Accepted: 07/05/2017] [Indexed: 12/31/2022] Open
Abstract
Alzheimer's disease (AD) is a complex and multifactorial disease. In order to understand the genetic influence in the progression of AD, and to identify novel pharmaceutical agents and their associated targets, the present study discusses computational modeling and biomarker evaluation approaches. Based on mechanistic signaling pathway approaches, various computational models, including biochemical and morphological models, are discussed to explore the strategies that may be used to target AD treatment. Different biomarkers are interpreted on the basis of morphological and functional features of amyloid β plaques and unstable microtubule‑associated tau protein, which is involved in neurodegeneration. Furthermore, imaging and cerebrospinal fluids are also considered to be key methods in the identification of novel markers for AD. In conclusion, the present study reviews various biochemical and morphological computational models and biomarkers to interpret novel targets and agonists for the treatment of AD. This review also highlights several therapeutic targets and their associated signaling pathways in AD, which may have potential to be used in the development of novel pharmacological agents for the treatment of patients with AD. Computational modeling approaches may aid the quest for the development of AD treatments with enhanced therapeutic efficacy and reduced toxicity.
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Affiliation(s)
- Mubashir Hassan
- Department of Biology, College of Natural Sciences, Kongju National University, Gongju, Chungcheongnam 32588, Republic of Korea
- Institute of Molecular Science and Bioinformatics, Dyal Singh Trust Library, Lahore 54000, Pakistan
| | - Qamar Abbas
- Department of Physiology, University of Sindh, Jamshoro 76080, Pakistan
| | - Sung-Yum Seo
- Department of Biology, College of Natural Sciences, Kongju National University, Gongju, Chungcheongnam 32588, Republic of Korea
| | - Saba Shahzadi
- Institute of Molecular Science and Bioinformatics, Dyal Singh Trust Library, Lahore 54000, Pakistan
- Department of Bioinformatics, Virtual University Davis Road Campus, Lahore 54000, Pakistan
| | - Hany Al Ashwal
- College of Information Technology, United Arab Emirates University, Al-Ain 15551, United Arab Emirates
| | - Nazar Zaki
- College of Information Technology, United Arab Emirates University, Al-Ain 15551, United Arab Emirates
| | - Zeeshan Iqbal
- Institute of Molecular Science and Bioinformatics, Dyal Singh Trust Library, Lahore 54000, Pakistan
| | - Ahmed A. Moustafa
- School of Social Sciences and Psychology, Western Sydney University, Sydney, NSW 2751, Australia
- MARCS Institute for Brain, Behavior and Development, Western Sydney University, Sydney, NSW 2751, Australia
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13
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Siddarth P, Burggren AC, Eyre HA, Small GW, Merrill DA. Sedentary behavior associated with reduced medial temporal lobe thickness in middle-aged and older adults. PLoS One 2018; 13:e0195549. [PMID: 29649304 PMCID: PMC5896959 DOI: 10.1371/journal.pone.0195549] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Accepted: 03/23/2018] [Indexed: 11/24/2022] Open
Abstract
Atrophy of the medial temporal lobe (MTL) occurs with aging, resulting in impaired episodic memory. Aerobic fitness is positively correlated with total hippocampal volume, a heavily studied memory-critical region within the MTL. However, research on associations between sedentary behavior and MTL subregion integrity is limited. Here we explore associations between thickness of the MTL and its subregions (namely CA1, CA23DG, fusiform gyrus, subiculum, parahippocampal, perirhinal and entorhinal cortex,), physical activity, and sedentary behavior. We assessed 35 non-demented middle-aged and older adults (25 women, 10 men; 45–75 years) using the International Physical Activity Questionnaire for older adults, which quantifies physical activity levels in MET-equivalent units and asks about the average number of hours spent sitting per day. All participants had high resolution MRI scans performed on a Siemens Allegra 3T MRI scanner, which allows for detailed investigation of the MTL. Controlling for age, total MTL thickness correlated inversely with hours of sitting/day (r = -0.37, p = 0.03). In MTL subregion analysis, parahippocampal (r = -0.45, p = 0.007), entorhinal (r = -0.33, p = 0.05) cortical and subiculum (r = -0.36, p = .04) thicknesses correlated inversely with hours of sitting/day. No significant correlations were observed between physical activity levels and MTL thickness. Though preliminary, our results suggest that more sedentary non-demented individuals have less MTL thickness. Future studies should include longitudinal analyses and explore mechanisms, as well as the efficacy of decreasing sedentary behaviors to reverse this association.
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Affiliation(s)
- Prabha Siddarth
- Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, United States of America
- * E-mail:
| | - Alison C. Burggren
- Center for Cognitive Neurosciences, UCLA, Los Angeles, CA, United States of America
| | - Harris A. Eyre
- Discipline of Psychiatry, University of Adelaide, Adelaide, Australia
| | - Gary W. Small
- Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, United States of America
| | - David A. Merrill
- Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, United States of America
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14
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Dallaire-Théroux C, Callahan BL, Potvin O, Saikali S, Duchesne S. Radiological-Pathological Correlation in Alzheimer's Disease: Systematic Review of Antemortem Magnetic Resonance Imaging Findings. J Alzheimers Dis 2018; 57:575-601. [PMID: 28282807 DOI: 10.3233/jad-161028] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
BACKGROUND The standard method of ascertaining Alzheimer's disease (AD) remains postmortem assessment of amyloid plaques and neurofibrillary degeneration. Vascular pathology, Lewy bodies, TDP-43, and hippocampal sclerosis are frequent comorbidities. There is therefore a need for biomarkers that can assess these etiologies and provide a diagnosis in vivo. OBJECTIVE We conducted a systematic review of published radiological-pathological correlation studies to determine the relationship between antemortem magnetic resonance imaging (MRI) and neuropathological findings in AD. METHODS We explored PubMed in June-July 2015 using "Alzheimer's disease" and combinations of radiological and pathological terms. After exclusion following screening and full-text assessment of the 552 extracted manuscripts, three others were added from their reference list. In the end, we report results based on 27 articles. RESULTS Independently of normal age-related brain atrophy, AD pathology is associated with whole-brain and hippocampal atrophy and ventricular expansion as observed on T1-weighted images. Moreover, cerebral amyloid angiopathy and cortical microinfarcts are also related to brain volume loss in AD. Hippocampal sclerosis and TDP-43 are associated with hippocampal and medial temporal lobe atrophy, respectively. Brain volume loss correlates more strongly with tangles than with any other pathological finding. White matter hyperintensities observed on proton density, T2-weighted and FLAIR images are strongly related to vascular pathologies, but are also associated with other histological changes such as gliosis or demyelination. CONCLUSION Cerebral atrophy and white matter changes in the living brain reflect underlying neuropathology and may be detectable using antemortem MRI. In vivo MRI may therefore be an avenue for AD pathological staging.
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Affiliation(s)
- Caroline Dallaire-Théroux
- CERVO Brain Research Center, Institut Universitaire en Santé Mentale de Québec, Quebec City, Quebec, Canada.,Faculty of Medicine, Université Laval, Quebec City, Quebec, Canada
| | - Brandy L Callahan
- CERVO Brain Research Center, Institut Universitaire en Santé Mentale de Québec, Quebec City, Quebec, Canada.,Faculty of Medicine, Université Laval, Quebec City, Quebec, Canada.,Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Olivier Potvin
- CERVO Brain Research Center, Institut Universitaire en Santé Mentale de Québec, Quebec City, Quebec, Canada.,Faculty of Medicine, Université Laval, Quebec City, Quebec, Canada
| | - Stéphan Saikali
- Faculty of Medicine, Université Laval, Quebec City, Quebec, Canada.,Department of Pathology, Centre Hospitalier Universitaire de Quebec, Quebec, Canada
| | - Simon Duchesne
- CERVO Brain Research Center, Institut Universitaire en Santé Mentale de Québec, Quebec City, Quebec, Canada.,Faculty of Medicine, Université Laval, Quebec City, Quebec, Canada
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15
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Wennberg AMV, Gustafson D, Hagen CE, Roberts RO, Knopman D, Jack C, Petersen RC, Mielke MM. Serum Adiponectin Levels, Neuroimaging, and Cognition in the Mayo Clinic Study of Aging. J Alzheimers Dis 2018; 53:573-81. [PMID: 27163809 DOI: 10.3233/jad-151201] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
BACKGROUND Adiponectin, a protein involved in inflammatory pathways, may impact the development and progression of Alzheimer's disease (AD). Adiponectin levels have been associated with mild cognitive impairment (MCI) and AD; however, its association with Alzheimer-associated neuroimaging and cognitive outcomes is unknown. OBJECTIVE Determine the cross-sectional association between plasma adiponectin and neuroimaging and cognitive outcomes in an older population-based sample. METHODS Multivariable adjusted regression models were used to investigate the association between plasma adiponectin and hippocampal volume (HVa), PiB-PET, FDG PET, cortical thickness, MCI diagnosis, and neuropsychological test performance. Analyses included 535 non-demented participants aged 70 and older enrolled in the Mayo Clinic Study of Aging. RESULTS Women had higher adiponectin than men (12,631 ng/mL versus 8,908 ng/mL, p < 0.001). Among women, higher adiponectin was associated with smaller HVa (B = -0.595; 95% CI -1.19, -0.005), poorer performance in language (B = -0.676; 95% CI -1.23, -0.121), and global cognition (B = -0.459; 95% CI -0.915, -0.002), and greater odds of a MCI diagnosis (OR = 6.23; 95% CI 1.20, 32.43). In analyses stratified by sex and elevated amyloid (PiB-PET SUVR >1.4), among women with elevated amyloid, higher adiponectin was associated with smaller HVa (B = -0.723; 95% CI -1.43, -0.014), poorer performance in memory (B = -1.02; 95% CI -1.73, -0.312), language (B = -0.896; 95% CI -1.58, -0.212), global cognition (B = -0.650; 95% CI -1.18, -0.116), and greater odds of MCI (OR = 19.34; 95% CI 2.72, 137.34). CONCLUSION Higher plasma adiponectin was associated with neuroimaging and cognitive outcomes among women. Longitudinal analyses are necessary to determine whether higher adiponectin predicts neurodegeneration and cognitive decline.
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Affiliation(s)
| | - Deborah Gustafson
- Department of Neurology, State University of New York- Downstate Medical Center, NY, USA
| | - Clinton E Hagen
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Rosebud O Roberts
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.,Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - David Knopman
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Clifford Jack
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Ronald C Petersen
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.,Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Michelle M Mielke
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.,Department of Neurology, Mayo Clinic, Rochester, MN, USA
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16
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Egorova N, Cumming T, Shirbin C, Veldsman M, Werden E, Brodtmann A. Lower cognitive control network connectivity in stroke participants with depressive features. Transl Psychiatry 2017; 7:4. [PMID: 29520018 PMCID: PMC5843603 DOI: 10.1038/s41398-017-0038-x] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Around one-third of people develop depression following ischaemic stroke, yet the underlying mechanisms are poorly understood. Post-stroke depression has been linked to frontal infarcts, mainly lesions in the left dorsolateral prefrontal cortex (DLPFC). But depression is a network disorder that cannot be fully characterised through lesion-symptom mapping. Researchers of depression in non-stroke populations have successfully tapped into the cognitive control network (CCN) using the bilateral DLPFC as a seed, and found that CCN resting-state connectivity is reduced in even mildly depressed subjects, compared to healthy controls. Hence, we aimed to investigate the association between post-stroke depressive features and the CCN resting-state connectivity in a stroke population. We analysed DLPFC resting-state connectivity in 64 stroke participants, 20 of whom showed depressive features assessed with the Patient Health Questionnaire (PHQ-9) at 3 months after stroke. We directly compared groups showing symptoms of depression with those who did not, and performed a regression with PHQ-9 scores in all participants, controlling for age, gender, lesion volume and stroke severity. Post-stroke depression was associated with lower connectivity between the left DLPFC and the right supramarginal gyrus (SMG) in both group and regression analyses. Neither the seed nor the results overlapped with stroke lesions. These findings confirm an important role of the left DLPFC in post-stroke depression, but now show that large-scale network disruptions following stroke associated with depressive features occur without lesions in the DLPFC.
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Affiliation(s)
- Natalia Egorova
- The Florey Institute of Neuroscience and Mental Health, Melbourne, VIC, Australia.
| | - Toby Cumming
- 0000 0004 0606 5526grid.418025.aThe Florey Institute of Neuroscience and Mental Health, Melbourne, VIC Australia
| | - Chris Shirbin
- 0000 0004 0606 5526grid.418025.aThe Florey Institute of Neuroscience and Mental Health, Melbourne, VIC Australia
| | - Michele Veldsman
- 0000 0004 0606 5526grid.418025.aThe Florey Institute of Neuroscience and Mental Health, Melbourne, VIC Australia
| | - Emilio Werden
- 0000 0004 0606 5526grid.418025.aThe Florey Institute of Neuroscience and Mental Health, Melbourne, VIC Australia
| | - Amy Brodtmann
- The Florey Institute of Neuroscience and Mental Health, Melbourne, VIC, Australia.
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17
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Espeland MA, Rapp SR, Manson JE, Goveas JS, Shumaker SA, Hayden KM, Weitlauf JC, Gaussoin SA, Baker LD, Padula CB, Hou L, Resnick SM. Long-term Effects on Cognitive Trajectories of Postmenopausal Hormone Therapy in Two Age Groups. J Gerontol A Biol Sci Med Sci 2017; 72:838-845. [PMID: 27506836 PMCID: PMC6075542 DOI: 10.1093/gerona/glw156] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2015] [Accepted: 07/18/2016] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Postmenopausal hormone therapy may have long-term effects on cognitive function depending on women's age. METHODS Postintervention follow-up was conducted with annual cognitive assessments of two randomized controlled clinical trial cohorts, beginning an average of 6-7 years after study medications were terminated: 1,376 women who had enrolled in the Women's Health Initiative when aged 50-54 years and 2,880 who had enrolled when aged 65-79 years. Women had been randomly assigned to 0.625mg/d conjugated equine estrogens (CEE) for those with prior hysterectomy (mean 7.1 years), CEE with 2.5mg/d medroxyprogesterone acetate for those without prior hysterectomy (mean 5.4 years), or matching placebos. RESULTS Hormone therapy, when prescribed to women aged 50-54 years, had no significant long-term posttreatment effects on cognitive function and on changes in cognitive function. When prescribed to older women, it was associated with long-term mean (SE) relative decrements (standard deviation units) in global cognitive function of 0.081 (0.029), working memory of 0.070 (0.025), and executive function of 0.054 (0.023), all p < .05. These decrements were relatively stable over time. Findings did not vary depending on the hormone therapy regimen, prior use, or years from last menstrual period. Mean intervention effects were small; however, the largest were comparable in magnitude to those seen during the trial's active intervention phase. CONCLUSIONS CEE-based hormone therapy delivered near the time of menopause provides neither cognitive benefit nor detriment. If administered in older women, it results in small decrements in several cognitive domains that remain for many years.
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Affiliation(s)
| | - Stephen R Rapp
- Department of Social Sciences and Health Policy, and
- Department of Psychiatry and Behavioral Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - JoAnn E Manson
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Joseph S Goveas
- Department of Psychiatry and Behavioral Medicine, Medical College of Wisconsin, Milwaukee
| | | | | | - Julie C Weitlauf
- Department of Veterans Affairs, Palo Alto Health Care System and
| | | | - Laura D Baker
- Department of Social Sciences and Health Policy, and
| | - Claudia B Padula
- Department of Veterans Affairs, Palo Alto Health Care System and
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, California
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Fienberg School of Medicine, Chicago, Illinois
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, Intramural Research Program, National Institute on Aging, NIH, Baltimore, Maryland
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18
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Rapp SR, Luchsinger JA, Baker LD, Blackburn GL, Hazuda HP, Demos-McDermott KE, Jeffery RW, Keller JN, McCaffery JM, Pajewski NM, Evans M, Wadden TA, Arnold SE, Espeland MA. Effect of a Long-Term Intensive Lifestyle Intervention on Cognitive Function: Action for Health in Diabetes Study. J Am Geriatr Soc 2017; 65:966-972. [PMID: 28067945 PMCID: PMC5435531 DOI: 10.1111/jgs.14692] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
OBJECTIVES To assess whether randomization to 10 years of lifestyle intervention to induce and maintain weight loss improves cognitive function. DESIGN Randomized controlled clinical trial. SETTING Data obtained as part of the Action for Health in Diabetes (Look AHEAD) trial (NCT00017953) and Look AHEAD Continuation study (U01 DK057136-15). PARTICIPANTS Overweight and obese individuals with type 2 diabetes mellitus aged 45 to 76 (N = 3,751). INTERVENTION Intensive lifestyle intervention (ILI) for weight loss through reduced caloric intake and increased physical activity compared with a control condition of diabetes support and education (DSE). MEASUREMENTS Certified examiners who were masked to intervention assignment administered a standard battery of cognitive function tests (Modified Mini-Mental State Examination, Rey Auditory Verbal Learning Test, Digit Symbol Coding, Trail-Making Test, Modified Stroop Color-Word Test) to participants 10 to 13 years after enrollment. RESULTS Assignment to lifestyle intervention was not associated with significantly different overall (P = .10) or domain-specific (all P > .10) cognitive function than assignment to diabetes support and education. Results were fairly consistent across prespecified groups, but there was some evidence of trends for differential intervention effects showing modest harm in ILI in participants with greater body mass index and in individuals with a history of cardiovascular disease. Cognitive function was not associated with changes in weight or fitness (all P > .05). CONCLUSION A long-term behavioral weight loss intervention for overweight and obese adults with diabetes mellitus was not associated with cognitive benefit. Trial Registration clinicaltrials.gov Identifier: NCT00017953.
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Affiliation(s)
- Stephen R. Rapp
- Department of Psychiatry and Behavioral Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157
| | - Jose A. Luchsinger
- Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY 10032
| | - Laura D. Baker
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157
| | - George L. Blackburn
- Center for the Study of Nutrition Medicine, Beth Israel Deaconess Medical Center, Division of Nutrition, Harvard Medical School, Boston, MA, 02215
| | - Helen P. Hazuda
- Department of Medicine, University of Texas Health Sciences Center, San Antonio, TX 78229
| | - Kathryn E. Demos-McDermott
- Department of Psychiatry and Human Behavior, The Miriam Hospital and Alpert School of Medicine at Brown University, Providence, RI 02903
| | - Robert W. Jeffery
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN 55454
| | | | - Jeanne M. McCaffery
- Department of Psychiatry and Human Behavior, The Miriam Hospital and Alpert School of Medicine at Brown University, Providence, RI 02903
| | - Nicholas M. Pajewski
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157
| | - Mary Evans
- Division of Digestive Diseases and Nutrition, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD 20892
| | - Thomas A. Wadden
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104
| | - Steven E. Arnold
- Department of Neurology, Massachusetts General Hospital/Harvard Medical School, Charleston, MA 02129
| | - Mark A. Espeland
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157
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Abstract
This article presents a review of recent advances in neuroscience research in the specific area of brain connectivity as a potential biomarker of Alzheimer's disease with a focus on the application of graph theory. The review will begin with a brief overview of connectivity and graph theory. Then resent advances in connectivity as a biomarker for Alzheimer's disease will be presented and analyzed.
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Affiliation(s)
- Jon delEtoile
- 1 Biophysics Graduate Program, The Ohio State University, Columbus, OH, USA
| | - Hojjat Adeli
- 2 Departments of Biomedical Engineering, Biomedical Informatics, Neurological Surgery, and Neuroscience, and Biophysics Graduate Program, The Ohio State University, Columbus, OH, USA
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20
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Perea RD, Vidoni ED, Morris JK, Graves RS, Burns JM, Honea RA. Cardiorespiratory fitness and white matter integrity in Alzheimer's disease. Brain Imaging Behav 2016; 10:660-8. [PMID: 26239997 PMCID: PMC4740273 DOI: 10.1007/s11682-015-9431-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
The objective of this study was to investigate the relationship between cardiorespiratory (CR) fitness and the brain's white matter tract integrity using diffusion tensor imaging (DTI) in the Alzheimer's disease (AD) population. We recruited older adults in the early stages of AD (n = 37; CDR = 0.5 and 1) and collected cross-sectional fitness and diffusion imaging data. We examined the association between CR fitness (peak oxygen consumption [VO2peak]) and fractional anisotropy (FA) in AD-related white matter tracts using two processing methodologies: a tract-of-interest approach and tract-based spatial statistic (TBSS). Subsequent diffusivity metrics (radial diffusivity [RD], mean diffusivity [MD], and axial diffusivity [A × D]) were also correlated with VO2peak. The tract-of-interest approach showed that higher VO2peak was associated with preserved white matter integrity as measured by increased FA in the right inferior fronto-occipital fasciculus (p = 0.035, r = 0.36). We did not find a significant correlation using TBSS, though there was a trend for a positive association between white matter integrity and higher VO2peak measures (p < 0.01 uncorrected). Our findings indicate that higher CR fitness levels in early AD participants may be related to preserved white matter integrity. However to draw stronger conclusions, further study on the relationship between fitness and white matter deterioration in AD is necessary.
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Affiliation(s)
- RD. Perea
- Dept. of Neurology and KU Alzheimer’s Disease Center, University of Kansas Medical Center, Kansas City, KS
- Bioengineering Program, The University of Kansas, Lawrence, KS
| | - ED. Vidoni
- Dept. of Neurology and KU Alzheimer’s Disease Center, University of Kansas Medical Center, Kansas City, KS
| | - JK. Morris
- Dept. of Neurology and KU Alzheimer’s Disease Center, University of Kansas Medical Center, Kansas City, KS
| | - RS. Graves
- Dept. of Neurology and KU Alzheimer’s Disease Center, University of Kansas Medical Center, Kansas City, KS
| | - JM. Burns
- Dept. of Neurology and KU Alzheimer’s Disease Center, University of Kansas Medical Center, Kansas City, KS
| | - RA. Honea
- Dept. of Neurology and KU Alzheimer’s Disease Center, University of Kansas Medical Center, Kansas City, KS
- Bioengineering Program, The University of Kansas, Lawrence, KS
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Harrison TM, Mahmood Z, Lau EP, Karacozoff AM, Burggren AC, Small GW, Bookheimer SY. An Alzheimer's Disease Genetic Risk Score Predicts Longitudinal Thinning of Hippocampal Complex Subregions in Healthy Older Adults. eNeuro 2016; 3:ENEURO.0098-16.2016. [PMID: 27482534 PMCID: PMC4945997 DOI: 10.1523/eneuro.0098-16.2016] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2016] [Revised: 06/08/2016] [Accepted: 06/13/2016] [Indexed: 01/30/2023] Open
Abstract
Variants at 21 genetic loci have been associated with an increased risk for Alzheimer's disease (AD). An important unresolved question is whether multiple genetic risk factors can be combined to increase the power to detect changes in neuroimaging biomarkers for AD. We acquired high-resolution structural images of the hippocampus in 66 healthy, older human subjects. For 45 of these subjects, longitudinal 2-year follow-up data were also available. We calculated an additive AD genetic risk score for each participant and contrasted this with a weighted risk score (WRS) approach. Each score included APOE (apolipoprotein E), CLU (clusterin), PICALM (phosphatidylinositol binding clathrin assembly protein), and family history of AD. Both unweighted risk score (URS) and WRS correlated strongly with the percentage change in thickness across the whole hippocampal complex (URS: r = -0.40; p = 0.003; WRS: r = -0.25, p = 0.048), driven by a strong relationship to entorhinal cortex thinning (URS: r = -0.35; p = 0.009; WRS: r = -0.35, p = 0.009). By contrast, at baseline the risk scores showed no relationship to thickness in any hippocampal complex subregion. These results provide compelling evidence that polygenic AD risk scores may be especially sensitive to structural change over time in regions affected early in AD, like the hippocampus and adjacent entorhinal cortex. This work also supports the paradigm of studying genetic risk for disease in healthy volunteers. Together, these findings will inform clinical trial design by supporting the idea that genetic prescreening in healthy control subjects can be useful to maximize the ability to detect an effect on a longitudinal neuroimaging endpoint, like hippocampal complex cortical thickness.
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Affiliation(s)
- Theresa M. Harrison
- Neuroscience Interdepartmental Graduate Program, University of California, Los Angeles, Los Angeles, California 90095
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California 90095
| | - Zanjbeel Mahmood
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California 90095
| | - Edward P. Lau
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California 90095
| | - Alexandra M. Karacozoff
- Staglin IMHRO Center for Cognitive Neuroscience, University of California, Los Angeles, Los Angeles, California 90095
| | - Alison C. Burggren
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California 90095
| | - Gary W. Small
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California 90095
- Semel Institute for Neuroscience and Human Behaviors, University of California, Los Angeles, Los Angeles, California 90095
- UCLA Longevity Center, University of California, Los Angeles, Los Angeles, California 90095
| | - Susan Y. Bookheimer
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California 90095
- Staglin IMHRO Center for Cognitive Neuroscience, University of California, Los Angeles, Los Angeles, California 90095
- Semel Institute for Neuroscience and Human Behaviors, University of California, Los Angeles, Los Angeles, California 90095
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Espeland MA, Erickson K, Neiberg RH, Jakicic JM, Wadden TA, Wing RR, Desiderio L, Erus G, Hsieh MK, Davatzikos C, Maschak-Carey BJ, Laurienti PJ, Demos-McDermott K, Bryan RN. Brain and White Matter Hyperintensity Volumes After 10 Years of Random Assignment to Lifestyle Intervention. Diabetes Care 2016; 39:764-71. [PMID: 27208378 PMCID: PMC4839171 DOI: 10.2337/dc15-2230] [Citation(s) in RCA: 68] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2015] [Accepted: 01/29/2016] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Type 2 diabetes increases the accumulation of brain white matter hyperintensities and loss of brain tissue. Behavioral interventions to promote weight loss through dietary changes and increased physical activity may delay these adverse consequences. We assessed whether participation in a successful 10-year lifestyle intervention was associated with better profiles of brain structure. RESEARCH DESIGN AND METHODS At enrollment in the Action for Health in Diabetes clinical trial, participants had type 2 diabetes, were overweight or obese, and were aged 45-76 years. They were randomly assigned to receive 10 years of lifestyle intervention, which included group and individual counseling, or to a control group receiving diabetes support and education through group sessions on diet, physical activity, and social support. Following this intervention, 319 participants from three sites underwent standardized structural brain magnetic resonance imaging and tests of cognitive function 10-12 years after randomization. RESULTS Total brain and hippocampus volumes were similar between intervention groups. The mean (SE) white matter hyperintensity volume was 28% lower among lifestyle intervention participants compared with those receiving diabetes support and education: 1.59 (1.11) vs. 2.21 (1.11) cc (P = 0.02). The mean ventricle volume was 9% lower: 28.93 (1.03) vs. 31.72 (1.03) cc (P = 0.04). Assignment to lifestyle intervention was not associated with consistent differences in cognitive function compared with diabetes support and education. CONCLUSIONS Long-term weight loss intervention may reduce the adverse impact of diabetes on brain structure. Determining whether this eventually delays cognitive decline and impairment requires further research.
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Affiliation(s)
- Mark A Espeland
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC
| | - Kirk Erickson
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA
| | - Rebecca H Neiberg
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC
| | - John M Jakicic
- Department of Physical Therapy, University of Pittsburgh, Pittsburgh, PA
| | | | | | | | - Guray Erus
- University of Pennsylvania, Philadelphia, PA
| | | | | | | | - Paul J Laurienti
- Department of Radiology, Wake Forest School of Medicine, Winston-Salem, NC
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Abstract
PURPOSE OF REVIEW The article discusses the two most significant modifiable risk factors for dementia, namely, physical inactivity and lack of stimulating cognitive activity, and their effects on developing cognitive reserve. RECENT FINDINGS Both of these leisure-time activities were associated with significant reductions in the risk of dementia in longitudinal studies. In addition, physical activity, particularly aerobic exercise, is associated with less age-related gray and white matter loss and with less neurotoxic factors. On the other hand, cognitive training studies suggest that training for executive functions (e.g., working memory) improves prefrontal network efficiency, which provides support to brain functioning in the face of cognitive decline. While physical activity preserves neuronal structural integrity and brain volume (hardware), cognitive activity strengthens the functioning and plasticity of neural circuits (software), thus supporting cognitive reserve in different ways. Future research should examine whether lifestyle interventions incorporating these two domains can reduce incident dementia.
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Affiliation(s)
- Sheung-Tak Cheng
- Department of Health and Physical Education, The Education University of Hong Kong, 10 Lo Ping Road, Tai Po, N.T., Hong Kong. .,Department of Clinical Psychology, Norwich Medical School, University of East Anglia, Norfolk, NR4 7TJ, UK.
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Harrison TM, Burggren AC, Small GW, Bookheimer SY. Altered memory-related functional connectivity of the anterior and posterior hippocampus in older adults at increased genetic risk for Alzheimer's disease. Hum Brain Mapp 2015; 37:366-80. [PMID: 26503161 DOI: 10.1002/hbm.23036] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2015] [Revised: 10/13/2015] [Accepted: 10/15/2015] [Indexed: 12/24/2022] Open
Abstract
The hippocampal complex is affected early in Alzheimer's disease (AD). Increasingly, altered functional connectivity of the hippocampus is recognized as an important feature of preclinical AD. Carriers of the APOEɛ4 allele are at an increased risk for AD, which could lead to altered hippocampal connectivity even in healthy older adults. To test this hypothesis, we used a paired-associates memory task to examine differences in task-dependent functional connectivity of the anterior and posterior hippocampus in nondemented APOEɛ4 carriers (n = 34, 18F) and noncarriers (n = 46, 31F). We examined anterior and posterior portions of the hippocampus separately to test the theory that APOEɛ4-mediated differences would be more pronounced in the anterior region, which is affected earlier in the AD course. This study is the first to use a psychophysiological interaction approach to query the context-dependent connectivity of subregions of the hippocampus during a memory task in adults at increased genetic risk for AD. During encoding, APOEɛ4 carriers had lower functional connectivity change compared to baseline between the anterior hippocampus and right precuneus, anterior insula and cingulate cortex. During retrieval, bilateral supramarginal gyrus and right precuneus showed lower functional connectivity change with anterior hippocampus in carriers. Also during retrieval, carriers showed lower connectivity change in the posterior hippocampus with auditory cortex. In each case, APOEɛ4 carriers showed strong negative connectivity changes compared to noncarriers where positive connectivity change was measured. These differences may represent prodromal functional changes mediated in part by APOEɛ4 and are consistent with the anterior-to-posterior theory of AD progression in the hippocampus.
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Affiliation(s)
- Theresa M Harrison
- Neuroscience Interdepartmental Graduate Program, UCLA, Los Angeles, California.,Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, California
| | - Alison C Burggren
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, California
| | - Gary W Small
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, California.,Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, California
| | - Susan Y Bookheimer
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, California.,Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, California.,Center for Cognitive Neuroscience, UCLA, Los Angeles, California
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