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Frank B, Walsh M, Hurley L, Groh J, Blennow K, Zetterberg H, Tripodis Y, Budson AE, O'Connor MK, Martin B, Weller J, McKee A, Qiu W, Stein TD, Stern RA, Mez J, Henson R, Long J, Aschenbrenner AJ, Babulal GM, Morris JC, Schindler S, Alosco ML. Cognition Mediates the Association Between Cerebrospinal Fluid Biomarkers of Amyloid and P-Tau and Neuropsychiatric Symptoms. J Alzheimers Dis 2024:JAD240125. [PMID: 38995786 DOI: 10.3233/jad-240125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/14/2024]
Abstract
Background Neuropsychiatric symptoms (NPS) can be an early manifestation of Alzheimer's disease (AD). However, the associations among NPS, cognition, and AD biomarkers across the disease spectrum are unclear. Objective We analyzed cross-sectional mediation pathways between cerebrospinal fluid (CSF) biomarkers of AD (Aβ1-42, p-tau181), cognitive function, and NPS. Methods Primary models included 781 participants from the National Alzheimer's Coordinating Center (NACC) data set who had CSF analyzed for AD biomarkers using Lumipulse. NPS were assessed with the Neuropsychiatric Inventory Questionnaire (NPI-Q). We assessed cognition with the harmonized MMSE/MoCA, as well as neuropsychological tests sensitive to AD pathology: story recall, naming, animal fluency, and Trails B. The Clinical Dementia Rating (CDR®) scale assessed dementia severity. Mediation models were estimated with Kemeny metric covariance in a structural equation model framework, controlling for age, education, sex, and APOEɛ4. Results The sample was older adults (M = 73.85, SD = 6.68; 49.9% male, 390; 27.9% dementia, 218) who were predominantly white (n = 688, 88.1%). Higher p-tau181/Aβ1-42 ratio predicted higher NPI-Q, which was partially mediated by the MMSE/MoCA and, in a second model, story recall. No other pathway was statistically significant. Both the MMSE/MoCA and NPI-Q independently mediated the association between p-tau181/Aβ1-42 ratio and CDR global impairment. With dementia excluded, p-tau181/Aβ1-42 ratio was no longer associated with the NPI-Q. Conclusions NPS may be secondary to cognitive impairment and AD pathology through direct and indirect pathways. NPS independently predict dementia severity in AD. However, AD pathology likely plays less of a role in NPS in samples without dementia.
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Affiliation(s)
- Brandon Frank
- U.S. Department of Veteran Affairs, VA Boston Healthcare System, Boston, MA, USA
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Michael Walsh
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Landon Hurley
- U.S. Department of Veteran Affairs, VA Boston Healthcare System, Boston, MA, USA
| | - Jenna Groh
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Yorghos Tripodis
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Andrew E Budson
- U.S. Department of Veteran Affairs, VA Boston Healthcare System, Boston, MA, USA
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Maureen K O'Connor
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- VA Bedford Healthcare System, U.S. Department of Veteran Affairs, Bedford, MA, USA
| | - Brett Martin
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, MA, USA
| | - Jason Weller
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Ann McKee
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, MA, USA
- Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Wendy Qiu
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
- Department of Pharmacology & Experimental Therapeutics, Boston University School of Medicine, Boston, MA, USA
| | - Thor D Stein
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, MA, USA
- Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Robert A Stern
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Anatomy & Neurobiology, Boston University School of Medicine, Boston, MA, USA
- Department of Neurosurgery, Boston University School of Medicine, Boston, MA, USA
| | - Jesse Mez
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Rachel Henson
- Knight Alzheimer Disease Research Center (ADRC), Washington University, St. Louis, MO, USA
| | - Justin Long
- Knight Alzheimer Disease Research Center (ADRC), Washington University, St. Louis, MO, USA
| | - Andrew J Aschenbrenner
- Knight Alzheimer Disease Research Center (ADRC), Washington University, St. Louis, MO, USA
| | - Ganesh M Babulal
- Knight Alzheimer Disease Research Center (ADRC), Washington University, St. Louis, MO, USA
| | - John C Morris
- Knight Alzheimer Disease Research Center (ADRC), Washington University, St. Louis, MO, USA
| | - Suzanne Schindler
- Knight Alzheimer Disease Research Center (ADRC), Washington University, St. Louis, MO, USA
| | - Michael L Alosco
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
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Ferreira DA, Macedo LBC, Foss MP. Neuropsychiatric symptoms as a prodromal factor in Alzheimer's type neurodegenerative disease: A scoping review. Clin Neuropsychol 2024; 38:1031-1059. [PMID: 37881945 DOI: 10.1080/13854046.2023.2273574] [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: 05/21/2023] [Accepted: 10/16/2023] [Indexed: 10/27/2023]
Abstract
Objective: Identifying neuropsychiatric symptoms (NPS) can aid in the early detection of Alzheimer's disease (AD); however, there is still a need for a greater consensus. This review aims to delineate the predominant NPS, compile a comprehensive list of the most commonly employed NPS assessment tools, and corroborate the principal findings regarding the link between NPS and neuropsychological assessment and neurobiological substrates. Methods: To conduct this scoping review, we followed the Preferred Reporting Items for Systematic Reviews guidelines and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). We searched for relevant articles published between 2017 and 2023 in MEDLINE, PsycINFO, PubMed, Web of Science, and Cochrane Library. Results: Of the 61 eligible articles, depression, anxiety, and apathy were the main NPSs. The Neuropsychiatric Inventory Questionnaire and Neuropsychiatric Inventory were the primary assessment tools used to evaluate NPS. Correlations between NPS severity and neurobiological markers were considered clinically significant. Furthermore, clinical procedures prioritized the use of global cognitive screening tools, assessments of executive functions, and functionality evaluations. Conclusion: Standardization of procedures is necessary because of the diversity of methods. The data show that NPS can predict the etiology, severity, form, and type of disease progression, serving as a precursor sign of AD. The results of the most common cognitive screening tools and NPS instruments provided an interesting overview of future clinical approaches.
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Affiliation(s)
- Diego Alves Ferreira
- Department of Neuroscience and Behavior Science, Faculty of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil
| | - Lorena Barbosa Cunha Macedo
- Faculty of Philosophy, Sciences, and Letters of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil
| | - Maria Paula Foss
- Department of Neuroscience and Behavior Science, Faculty of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil
- Faculty of Philosophy, Sciences, and Letters of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil
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Liampas I, Siokas V, Zoupa E, Kyriakoulopoulou P, Stamati P, Provatas A, Tsouris Z, Tsimourtou V, Lyketsos CG, Dardiotis E. Neuropsychiatric symptoms and white matter hyperintensities in older adults without dementia. Int Psychogeriatr 2024:1-13. [PMID: 38639110 DOI: 10.1017/s1041610224000607] [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] [Indexed: 04/20/2024]
Abstract
OBJECTIVE We aimed to examine associations between neuropsychiatric symptoms (NPS) and white matter hyperintensities (WMH) status in older adults without dementia under the hypothesis that WMH increased the odds of having NPS. DESIGN Longitudinal analysis of data acquired from the National Alzheimer's Coordinating Center Uniform Data Set. SETTINGS Data were derived from 46 National Institute on Aging - funded Alzheimer's Disease Research Centers. PARTICIPANTS NACC participants aged ≥50 years with available data on WMH severity with a diagnosis of mild cognitive impairment (MCI) or who were cognitively unimpaired (CU) were studied. Among 4617 CU participants, 376 had moderate and 54 extensive WMH. Among 3170 participants with MCI, 471 had moderate and 88 had extensive WMH. MEASUREMENTS Using Cardiovascular Health Study (CHS) scores, WMH were coded as no to mild (CHS score: 0-4), moderate (score: 5-6) or extensive (score: 7-8). NPS were quantified on the Neuropsychiatric Inventory Questionnaire. Binary logistic regression models estimated the odds of reporting each of 12 NPS by WMH status separately for individuals with MCI or who were CU. RESULTS Compared to CU individuals with no to mild WMH, the odds of having elation [9.87, (2.63-37.10)], disinhibition [4.42, (1.28-15.32)], agitation [3.51, (1.29-9.54)] or anxiety [2.74, (1.28-5.88)] were higher for the extensive WMH group, whereas the odds of having disinhibition were higher for the moderate WMH group [1.94, (1.05-3.61)]. In the MCI group, he odds of NPS did not vary by WMH status. CONCLUSIONS Extensive WMH were associated with higher odds of NPS in CU older adults but not in those with MCI.
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Affiliation(s)
- Ioannis Liampas
- Department of Neurology, University Hospital of Larissa, School of Medicine, University of Thessaly, Larissa, Greece
| | - Vasileios Siokas
- Department of Neurology, University Hospital of Larissa, School of Medicine, University of Thessaly, Larissa, Greece
| | - Elli Zoupa
- Larisa Day Care Center of People with Alzheimer's Disease, Association for Regional Development and Mental Health (EPAPSY), Marousi, Greece
| | | | - Polyxeni Stamati
- Department of Neurology, University Hospital of Larissa, School of Medicine, University of Thessaly, Larissa, Greece
| | - Antonios Provatas
- Department of Neurology, University Hospital of Larissa, School of Medicine, University of Thessaly, Larissa, Greece
| | - Zisis Tsouris
- Department of Neurology, University Hospital of Larissa, School of Medicine, University of Thessaly, Larissa, Greece
| | - Vana Tsimourtou
- Department of Neurology, University Hospital of Larissa, School of Medicine, University of Thessaly, Larissa, Greece
| | - Constantine G Lyketsos
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Efthimios Dardiotis
- Department of Neurology, University Hospital of Larissa, School of Medicine, University of Thessaly, Larissa, Greece
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA
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Sano M, Cummings J, Auer S, Bergh S, Fischer CE, Gerritsen D, Grossberg G, Ismail Z, Lanctôt K, Lapid MI, Mintzer J, Palm R, Rosenberg PB, Splaine M, Zhong K, Zhu CW. Agitation in cognitive disorders: Progress in the International Psychogeriatric Association consensus clinical and research definition. Int Psychogeriatr 2024; 36:238-250. [PMID: 36880250 PMCID: PMC10684256 DOI: 10.1017/s1041610222001041] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/08/2023]
Abstract
BACKGROUND The International Psychogeriatric Association (IPA) published a provisional consensus definition of agitation in cognitive disorders in 2015. As proposed by the original work group, we summarize the use and validation of criteria in order to remove "provisional" from the definition. METHODS This report summarizes information from the academic literature, research resources, clinical guidelines, expert surveys, and patient and family advocates on the experience of use of the IPA definition. The information was reviewed by a working group of topic experts to create a finalized definition. RESULTS We present a final definition which closely resembles the provisional definition with modifications to address special circumstances. We also summarize the development of tools for diagnosis and assessment of agitation and propose strategies for dissemination and integration into precision diagnosis and agitation interventions. CONCLUSION The IPA definition of agitation captures a common and important entity that is recognized by many stakeholders. Dissemination of the definition will permit broader detection and can advance research and best practices for care of patients with agitation.
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Affiliation(s)
- Mary Sano
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, NYC NY and James J. Peters VAMC, Bronx NY
| | - Jeffrey Cummings
- Joy Chambers-Grundy Professor of Brain Science, Director, Chambers-Grundy Center for Transformative Neuroscience, Co-Director, Pam Quirk Brain Health and Biomarker Laboratory, Department of Brain Health, School of Integrated Health Sciences. University of Nevada Las Vegas (UNLV)
| | - Stefanie Auer
- Centre for Dementia Studies, University for Continuing Education Krems, Austria
| | - Sverre Bergh
- The research centre for age-related functional decline and disease, Innlandet hospital trust, Ottestad, Norway
| | - Corinne E. Fischer
- Faculty of Medicine, Department of Psychiatry, University of Toronto, Canada
| | - Debby Gerritsen
- Department of Primary and Community Care, Radboud university medical center, Radboud Institute for Health Sciences, Radboud Alzheimer Center, Nijmegen, the Netherlands
| | - George Grossberg
- Department of Psychiatry & Behavioral Neuroscience, Division of Geriatric Psychiatry St Louis University School of Medicine
| | - Zahinoor Ismail
- Departments Psychiatry, Neurology, Epidemiology, and Pathology, Hotchkiss Brain Institute & O’Brien Institute for Public Health University of Calgary
| | - Krista Lanctôt
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute; and Departments of Psychiatry and Pharmacology/Toxicology, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Maria I Lapid
- Mayo Clinic Department of Psychiatry and Psychology, Rochester, MN, USA
| | - Jacobo Mintzer
- Psychiatrist, Ralph. H. Johnson VA Medical Center, Charleston, SC and Professor, College of Health Professions, Medical University of South Carolina, Charleston, SC
| | - Rebecca Palm
- Department of Nursing Science, Faculty of Health, Witten/Herdecke University, 58455 Witten, Germany
| | - Paul B. Rosenberg
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine
| | - Michael Splaine
- Owner Splaine Consulting, Managing Partner, Recruitment Partners LLC
| | - Kate Zhong
- Department of Brain Health, School of Integrated Health Sciences, University of Nevada, Las Vegas
| | - Carolyn W. Zhu
- Department of Geriatrics and Palliative Medicine, Icahn School of Medicine, NYC, NY and James J. Peters VAMC, Bronx NY
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Rabl M, Zullo L, Lewczuk P, Kornhuber J, Karikari TK, Blennow K, Zetterberg H, Bavato F, Quednow BB, Seifritz E, von Gunten A, Clark C, Popp J. Plasma neurofilament light, glial fibrillary acid protein, and phosphorylated tau 181 as biomarkers for neuropsychiatric symptoms and related clinical disease progression. RESEARCH SQUARE 2024:rs.3.rs-4116836. [PMID: 38562890 PMCID: PMC10984087 DOI: 10.21203/rs.3.rs-4116836/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
BACKGROUND Neuropsychiatric symptoms (NPS) are common in older people, may occur early in the development of dementia disorders, and have been associated with faster cognitive decline. Here, our objectives were to investigate whether plasma levels of neurofilament light chain (NfL), glial fibrillary acid protein (GFAP), and tau phosphorylated at threonine 181 (pTau181) are associated with current NPS and predict future NPS in non-demented older people. Furthermore, we tested whether the presence of NPS combined with plasma biomarkers are useful to predict Alzheimer's disease (AD) pathology and cognitive decline. METHODS One hundred and fifty-one participants with normal cognition (n=76) or mild cognitive impairment (n=75) were examined in a longitudinal brain aging study at the Memory Centers, University Hospital of Lausanne, Switzerland. Plasma levels of NfL, GFAP, and pTau181 along with CSF biomarkers of AD pathology were measured at baseline. NPS were assessed through the Neuropsychiatric Inventory Questionnaire (NPI-Q), along with the cognitive and functional performance at baseline and follow-up (mean: 20 months). Linear regression and ROC analyses were used to address the associations of interest. RESULTS Higher GFAP levels were associated with NPS at baseline (β=0.23, p=.008). Higher NfL and GFAP levels were associated with the presence of NPS at follow-up (β=0.29, p=.007 and β=0.28, p=.007, respectively) and with an increase in the NPI-Q severity score over time (β=0.23, p=.035 and β=0.27, p=.011, respectively). Adding NPS and the plasma biomarkers to a reference model improved the prediction of future NPS (AUC 0.73 to 0.84, p=.007) and AD pathology (AUC 0.79 to 0.86, p=.006), but not of cognitive decline (AUC 0.79 to 0.84, p=.068). CONCLUSION Plasma GFAP is associated with NPS while NfL and GFAP are both associated with future NPS and NPS severity. Considering the presence of NPS along with blood-based AD-biomarkers may improve diagnosis and prediction of clinical progression of NPS and inform clinical decision-making in non-demented older people.
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Affiliation(s)
- Miriam Rabl
- Department of Adult Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich, University of Zurich
| | - Leonardo Zullo
- Department of Psychiatry, Old Age Psychiatry Service, Lausanne University Hospital
| | - Piotr Lewczuk
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen and Friedrich-Alexander Universität Erlangen-Nürnberg
| | - Johannes Kornhuber
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen and Friedrich-Alexander Universität Erlangen-Nürnberg
| | - Thomas K Karikari
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, the Sahlgrenska Academy at the University of Gothenburg
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, the Sahlgrenska Academy at the University of Gothenburg
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, the Sahlgrenska Academy at the University of Gothenburg
| | - Francesco Bavato
- Department of Adult Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich, University of Zurich
| | - Boris B Quednow
- Experimental and Clinical Pharmacopsychology, Department of Adult Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich, University of Zurich
| | - Erich Seifritz
- Department of Adult Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich, University of Zurich
| | - Armin von Gunten
- Department of Psychiatry, Old Age Psychiatry Service, Lausanne University Hospital
| | - Christopher Clark
- Department of Adult Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich, University of Zurich
| | - Julius Popp
- Department of Adult Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich, University of Zurich
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Gontrum EQ, Paolillo EW, Lee S, Diaz V, Ehrenberg A, Saloner R, Mundada NS, La Joie R, Rabinovici G, Kramer JH, Casaletto KB. Neuropsychiatric Profiles and Cerebral Amyloid Burden in Adults without Dementia. Dement Geriatr Cogn Disord 2024; 53:119-127. [PMID: 38513620 PMCID: PMC11187670 DOI: 10.1159/000538376] [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: 09/24/2023] [Accepted: 03/11/2024] [Indexed: 03/23/2024] Open
Abstract
INTRODUCTION We comprehensively evaluated how self- and informant-reported neuropsychiatric symptoms (NPS) were differentially associated with cerebral amyloid-beta (Aβ) PET levels in older adults without dementia. METHODS Two hundred and twenty-one participants (48% female, age = 73.4 years ± 8.4, Clinical Dementia Rating = 0 [n = 184] or 0.5 [n = 37]) underwent an Aβ-PET scan (florbetapir or PIB), comprehensive neuropsychological testing, and self-reported (Geriatric Depression Scale - 30 item [GDS-30]) and informant-reported interview (Neuropsychiatric Inventory Questionnaire [NPI-Q]) of NPS. Cerebral Aβ burden was quantified using centiloids (CL). NPI-Q and GDS-30 queried the presence of NPS within 4 subdomains and 6 subscales, respectively. Regression models examined the relationship between NPS and Aβ-PET CL. RESULTS Both higher self- and informant-reported NPS were associated with higher Aβ burden. Among specific NPI-Q subdomains, informant-reported changes in depression, anxiety, and irritability were all associated with higher Aβ-PET. Similarly, self-reported (GDS-30) subscales of depression, apathy, anxiety, and cognitive concern were associated with higher Aβ-PET. When simultaneously entered, only self-reported cognitive concern was associated with Aβ-PET in the GDS-30 model, while both informant-reported anxiety and depression were associated with Aβ-PET in the NPI-Q model. Clinical status moderated the association between self-reported NPS and Aβ-PET such that the positive relationship between self-perceived NPS and Aβ burden strengthened with increasing functional difficulties. CONCLUSIONS In a cohort of older adults without dementia, both self- and informant-reported measures of global NPS, particularly patient-reported cognitive concerns and informant-reported anxiety and depression, corresponded with cerebral Aβ burden. NPS may appear early in the prodromal disease state and relate to initial AD proteinopathy burden, a relationship further exaggerated in those with greater clinical severity.
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Affiliation(s)
- Eva Q Gontrum
- UCSF, Memory and Aging Center, San Francisco, California, USA,
| | | | - Shannon Lee
- UCSF, Memory and Aging Center, San Francisco, California, USA
| | - Valentina Diaz
- UCSF, Memory and Aging Center, San Francisco, California, USA
| | - Alexander Ehrenberg
- UCSF, Memory and Aging Center, San Francisco, California, USA
- Helen Wills Neuroscience Institute, University of California, Berkeley, California, USA
- Innovative Genomics Institute, University of California, Berkeley, California, USA
| | - Rowan Saloner
- UCSF, Memory and Aging Center, San Francisco, California, USA
| | - Nidhi S Mundada
- UCSF, Memory and Aging Center, San Francisco, California, USA
| | - Renaud La Joie
- UCSF, Memory and Aging Center, San Francisco, California, USA
| | - Gil Rabinovici
- UCSF, Memory and Aging Center, San Francisco, California, USA
| | - Joel H Kramer
- UCSF, Memory and Aging Center, San Francisco, California, USA
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7
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Singh AK, Malviya R, Prakash A, Verma S. Neuropsychiatric Manifestations in Alzheimer's Disease Patients: Genetics and Treatment Options. CNS & NEUROLOGICAL DISORDERS DRUG TARGETS 2024; 23:39-54. [PMID: 36856177 DOI: 10.2174/1871527322666230301111216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 12/03/2022] [Accepted: 12/27/2022] [Indexed: 03/02/2023]
Abstract
BACKGROUND Alzheimer's disease (AD) is characterized by neuropsychiatric symptoms (NPS), which cause great misery to those with dementia and those who care for them and may lead to early institutionalization. OBJECTIVE The present systematic review aims to discuss the various aspects of Alzheimer's, including treatment options. METHODS The databases Embase, PubMed, and Web of Science were searched to collect data. RESULTS Incipient cognitive deterioration is commonly accompanied by these early warning signals of neurocognitive diseases. The neurobiology of NPSs in Alzheimer's disease, as well as particular symptoms, including psychosis, agitation, apathy, sadness, and sleep disorders, will be examined in this review. For NPSs in Alzheimer's disease, clinical trial designs, as well as regulatory issues, were also addressed. A fresh wave of research, however, is helping to push the discipline ahead. For medication development and repurposing, we highlight the most recent results in genetics, neuroimaging, and neurobiology. Even though identifying and treating psychosis in adults with dementia is still a challenging endeavor, new options are coming up that give the field fresh focus and hope. Conclsuion: It can be concluded from the complete literature survey that Alzheimer's-related psychosis as well as other symptoms that are not psychotic, have made significant progress in the last decade. These milestones in the development of safer, more effective treatments have been achieved as a consequence of great focus on non-pharmacological interventions like DICE or WHELD; the investigation into ways to improve existing drugs like aripiprazole, risperidone, amisulpride, and Escitalopram for safer precision-based treatment; and the development of a clinical trial program for pimavanserin.
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Affiliation(s)
- Arun Kumar Singh
- Department of Pharmacy, School of Medical and Allied Sciences, Galgotias University Greater Noida, Uttar Pradesh, India
| | - Rishabha Malviya
- Department of Pharmacy, School of Medical and Allied Sciences, Galgotias University Greater Noida, Uttar Pradesh, India
| | - Anuj Prakash
- Reference Standard Division, Indian Pharmacopoeia Commission, Sec-23, Raj Nagar, Ghaziabad, Uttar Pradesh, India
| | - Swati Verma
- Department of Pharmacy, School of Medical and Allied Sciences, Galgotias University Greater Noida, Uttar Pradesh, India
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8
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Eriksson CM, Kirsebom BE, Espenes R, Siafarikas N, Waterloo K, Rongve A, Selnes P, Aarsland D, Fladby T, Hessen E. Depressive Symptoms Are Not Associated with Predementia Cerebrospinal Fluid Amyloid Pathology. Dement Geriatr Cogn Dis Extra 2024; 14:40-48. [PMID: 38939101 PMCID: PMC11208998 DOI: 10.1159/000539284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Accepted: 05/02/2024] [Indexed: 06/29/2024] Open
Abstract
Introduction Depressive symptoms are associated with Alzheimer's disease (AD), but their neurobiological and neuropsychological correlates remain poorly understood. We investigate if depressive symptoms are associated with amyloid (Aβ) pathology and cognition in predementia AD. Methods We included subjective cognitive decline (SCD, n = 160) and mild cognitive impairment (MCI, n = 192) from the dementia disease initiation cohort. Depressive symptoms were assessed using the Geriatric Depression Scale (GDS-15). Aβ pathology was determined using cerebrospinal fluid (CSF) Aβ42/40 ratio. Associations between depressive symptoms and cognition were assessed with logistic regression. Results Only the Aβ negative MCI group (MCI-Aβ-) was associated with depressive symptoms (odds ratio [OR] = 2.65, p = 0.005). Depressive symptoms were associated with worse memory in MCI-Aβ- (OR = 0.94, p = 0.039), but with better performance in MCI-Aβ+ (OR = 1.103, p = 0.001). Conclusion Our results suggest that depressive symptoms in MCI are neither associated with Aβ pathology, nor AD-associated memory impairment. However, memory impairment in non-AD MCI may relate to depressive symptoms.
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Affiliation(s)
- Cecilia Magdalena Eriksson
- Department of Geriatric Psychiatry, Akershus University Hospital, Nordbyhagen, Norway
- Institute of Psychology, University of Oslo, Oslo, Norway
- Department of Neurology, Akershus University Hospital, Nordbyhagen, Norway
| | - Bjørn-Eivind Kirsebom
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway
- Department of Psychology, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Ragna Espenes
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway
- Department of Psychology, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Nikias Siafarikas
- Department of Geriatric Psychiatry, Akershus University Hospital, Nordbyhagen, Norway
| | - Knut Waterloo
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway
- Department of Psychology, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Arvid Rongve
- Department of Research and Innovation, Helse Fonna, Haugesund, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Per Selnes
- Department of Neurology, Akershus University Hospital, Nordbyhagen, Norway
- Institute of Clinical Medicine, Campus Ahus, University of Oslo, Oslo, Norway
- Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Dag Aarsland
- Department of Neurology, Akershus University Hospital, Nordbyhagen, Norway
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
- Institute of Psychiatry, Psychology and Neuroscience, King’s College, SE5 8AF London, London, UK
| | - Tormod Fladby
- Department of Neurology, Akershus University Hospital, Nordbyhagen, Norway
- Institute of Clinical Medicine, Campus Ahus, University of Oslo, Oslo, Norway
- Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Erik Hessen
- Institute of Psychology, University of Oslo, Oslo, Norway
- Department of Neurology, Akershus University Hospital, Nordbyhagen, Norway
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9
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Polsinelli AJ, Wonderlin RJ, Hammers DB, Pena Garcia A, Eloyan A, Taurone A, Thangarajah M, Beckett L, Gao S, Wang S, Kirby K, Logan PE, Aisen P, Dage JL, Foroud T, Griffin P, Iaccarino L, Kramer JH, Koeppe R, Kukull WA, La Joie R, Mundada NS, Murray ME, Nudelman K, Soleimani-Meigooni DN, Rumbaugh M, Toga AW, Touroutoglou A, Vemuri P, Atri A, Day GS, Duara R, Graff-Radford NR, Honig LS, Jones DT, Masdeu J, Mendez MF, Womack K, Musiek E, Onyike CU, Riddle M, Rogalski E, Salloway S, Sha SJ, Turner RS, Wingo TS, Wolk DA, Carrillo MC, Dickerson BC, Rabinovici GD, Apostolova LG. Baseline neuropsychiatric symptoms and psychotropic medication use midway through data collection of the Longitudinal Early-Onset Alzheimer's Disease Study (LEADS) cohort. Alzheimers Dement 2023; 19 Suppl 9:S42-S48. [PMID: 37296082 PMCID: PMC10709525 DOI: 10.1002/alz.13344] [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: 02/23/2023] [Revised: 05/15/2023] [Accepted: 05/17/2023] [Indexed: 06/12/2023]
Abstract
INTRODUCTION We examined neuropsychiatric symptoms (NPS) and psychotropic medication use in a large sample of individuals with early-onset Alzheimer's disease (EOAD; onset 40-64 years) at the midway point of data collection for the Longitudinal Early-onset Alzheimer's Disease Study (LEADS). METHODS Baseline NPS (Neuropsychiatric Inventory - Questionnaire; Geriatric Depression Scale) and psychotropic medication use from 282 participants enrolled in LEADS were compared across diagnostic groups - amyloid-positive EOAD (n = 212) and amyloid negative early-onset non-Alzheimer's disease (EOnonAD; n = 70). RESULTS Affective behaviors were the most common NPS in EOAD at similar frequencies to EOnonAD. Tension and impulse control behaviors were more common in EOnonAD. A minority of participants were using psychotropic medications, and use was higher in EOnonAD. DISCUSSION Overall NPS burden and psychotropic medication use were higher in EOnonAD than EOAD participants. Future research will investigate moderators and etiological drivers of NPS, and NPS differences in EOAD versus late-onset AD.
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Affiliation(s)
- Angelina J. Polsinelli
- Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana, 46202, USA
| | - Ryan J. Wonderlin
- Marian University College of Osteopathic Medicine, Indianapolis, Indiana, 46222, USA
| | - Dustin B. Hammers
- Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana, 46202, USA
| | - Alex Pena Garcia
- Marian University College of Osteopathic Medicine, Indianapolis, Indiana, 46222, USA
| | - Ani Eloyan
- Department of Biostatistics, Center for Statistical Sciences, Brown University, Providence, Rhode Island, 02912, USA
| | - Alexander Taurone
- Department of Biostatistics, Center for Statistical Sciences, Brown University, Providence, Rhode Island, 02912, USA
| | - Maryanne Thangarajah
- Department of Biostatistics, Center for Statistical Sciences, Brown University, Providence, Rhode Island, 02912, USA
| | - Laurel Beckett
- Department of Public Health Sciences, University of California – Davis, Davis, California, 95616, USA
| | - Sujuan Gao
- Department of Biostatistics, Indiana University School of Medicine, Indianapolis, Indiana, 46202, USA
| | - Sophia Wang
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, 46202, USA
| | - Kala Kirby
- Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana, 46202, USA
| | - Paige E. Logan
- Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana, 46202, USA
| | - Paul Aisen
- Alzheimer’s Therapeutic Research Institute, University of Southern California, San Diego, California, 92121, USA
| | - Jeffrey L. Dage
- Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana, 46202, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, 46202, USA
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, 46202, USA
| | - Percy Griffin
- Medical & Scientific Relations Division, Alzheimer’s Association, Chicago, Illinois, 60603, USA
| | - Leonardo Iaccarino
- Department of Neurology, University of California – San Francisco, San Francisco, California, 94143, USA
| | - Joel H. Kramer
- Department of Neurology, University of California – San Francisco, San Francisco, California, 94143, USA
| | - Robert Koeppe
- Department of Radiology, University of Michigan, Ann Arbor, Michigan, 48109, USA
| | - Walter A. Kukull
- Department of Epidemiology, University of Washington, Seattle, Washington, 98195, USA
| | - Renaud La Joie
- Department of Neurology, University of California – San Francisco, San Francisco, California, 94143, USA
| | - Nidhi S Mundada
- Department of Neurology, University of California – San Francisco, San Francisco, California, 94143, USA
| | - Melissa E. Murray
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, 32224, USA
| | - Kelly Nudelman
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, 46202, USA
| | | | - Malia Rumbaugh
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, 46202, USA
| | - Arthur W. Toga
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Los Angeles, California, 90033, USA
| | - Alexandra Touroutoglou
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, 02114, USA
| | - Prashanthi Vemuri
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, 55123, USA
| | - Alireza Atri
- Banner Sun Health Research Institute, Sun City, Arizona, 85351, USA
| | - Gregory S. Day
- Department of Neurology, Mayo Clinic, Jacksonville, Florida, 32224, USA
| | - Ranjan Duara
- Wien Center for Alzheimer’s Disease and Memory Disorders, Mount Sinai Medical Center, Miami, Florida, 33140, USA
| | | | - Lawrence S. Honig
- Taub Institute and Department of Neurology, Columbia University Irving Medical Center, New York, New York, 10032, USA
| | - David T. Jones
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, 55123, USA
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, 55905, USA
| | - Joseph Masdeu
- Nantz National Alzheimer Center, Houston Methodist and Weill Cornell Medicine, Houston, Texas, 77030, USA
| | - Mario F. Mendez
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, California, 90095, USA
| | - Kyle Womack
- Department of Neurology, Washington University School of Medicine in St. Louis, St. Louis, MO, 63110, USA
| | - Erik Musiek
- Department of Neurology, Washington University School of Medicine in St. Louis, St. Louis, MO, 63110, USA
| | - Chiadi U. Onyike
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, 21205, USA
| | - Meghan Riddle
- Department of Psychiatry, Alpert Medical School, Brown University, Providence, Rhode Island, 02912, USA
| | - Emily Rogalski
- Department of Psychiatry and Behavioral Sciences, Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, 60611, USA
| | - Steven Salloway
- Department of Psychiatry, Alpert Medical School, Brown University, Providence, Rhode Island, 02912, USA
| | - Sharon J. Sha
- Department of Neurology & Neurological Sciences, Stanford University, Palo Alto, California, 94304, USA
| | - Raymond S. Turner
- Department of Neurology, Georgetown University, Washington D.C., 20057, USA
| | - Thomas S. Wingo
- Department of Neurology and Human Genetics, Emory University School of Medicine, Atlanta, Georgia, 30307, USA
| | - David A. Wolk
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, 19104, USA
| | - Maria C. Carrillo
- Medical & Scientific Relations Division, Alzheimer’s Association, Chicago, Illinois, 60603, USA
| | - Bradford C. Dickerson
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, 02114, USA
| | - Gil D. Rabinovici
- Department of Neurology, University of California – San Francisco, San Francisco, California, 94143, USA
| | - Liana G. Apostolova
- Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana, 46202, USA
- Alzheimer’s Therapeutic Research Institute, University of Southern California, San Diego, California, 92121, USA
- Department of Radiology and Imaging Sciences, Center for Neuroimaging, Indiana University School of Medicine Indianapolis, Indianapolis, Indiana, 46202, USA
| | - LEADS Consortium
- Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana, 46202, USA
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10
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Kim H, Zhu X, Zhao Y, Bell SA, Gehrman PR, Cohen D, Devanand DP, Goldberg TE, Lee S. Resting-state functional connectivity changes in older adults with sleep disturbance and the role of amyloid burden. Mol Psychiatry 2023; 28:4399-4406. [PMID: 37596355 PMCID: PMC10842478 DOI: 10.1038/s41380-023-02214-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 07/19/2023] [Accepted: 08/02/2023] [Indexed: 08/20/2023]
Abstract
Sleep and related disorders could lead to changes in various brain networks, but little is known about the role of amyloid β (Aβ) burden-a key Alzheimer's disease (AD) biomarker-in the relationship between sleep disturbance and altered resting state functional connectivity (rsFC) in older adults. This cross-sectional study examined the association between sleep disturbance, Aβ burden, and rsFC using a large-scale dataset from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Sample included 489 individuals (53.6% cognitively normal, 32.5% mild cognitive impairment, and 13.9% AD) who had completed sleep measures (Neuropsychiatric Inventory), PET Aβ data, and resting-state fMRI scans at baseline. Within and between rsFC of the Salience (SN), the Default Mode (DMN) and the Frontal Parietal network (FPN) were compared between participants with sleep disturbance versus without sleep disturbance. The interaction between Aβ positivity and sleep disturbance was evaluated using the linear regressions, controlling for age, diagnosis status, gender, sedatives and hypnotics use, and hypertension. Although no significant main effect of sleep disturbance was found on rsFC, a significant interaction term emerged between sleep disturbance and Aβ burden on rsFC of SN (β = 0.11, P = 0.006). Specifically, sleep disturbance was associated with SN hyperconnectivity, only with the presence of Aβ burden. Sleep disturbance may lead to altered connectivity in the SN when Aβ is accumulated in the brain. Individuals with AD pathology may be at increased risk for sleep-related aberrant rsFC; therefore, identifying and treating sleep problems in these individuals may help prevent further disease progression.
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Affiliation(s)
- Hyun Kim
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA.
- Area Brain Aging and Mental Health, New York State Psychiatric Institute, New York, NY, USA.
| | - Xi Zhu
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
- Division of Anxiety, Mood, Eating, and Related Disorders, New York State Psychiatric Institute, New York, NY, USA
| | - Yiming Zhao
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Sophie A Bell
- Area Brain Aging and Mental Health, New York State Psychiatric Institute, New York, NY, USA
- Department of Psychology, University of Virginia, Charlottesville, VA, USA
| | - Philip R Gehrman
- Department of Psychiatry, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, USA
- Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Daniel Cohen
- Area Brain Aging and Mental Health, New York State Psychiatric Institute, New York, NY, USA
| | - D P Devanand
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
- Area Brain Aging and Mental Health, New York State Psychiatric Institute, New York, NY, USA
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Terry E Goldberg
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
- Area Brain Aging and Mental Health, New York State Psychiatric Institute, New York, NY, USA
- Department of Anesthesiology, Columbia University Irving Medical Center, New York, NY, USA
| | - Seonjoo Lee
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
- Area Brain Aging and Mental Health, New York State Psychiatric Institute, New York, NY, USA
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA
- Division of Mental Health Data Science, New York State Psychiatric Institute, New York, NY, USA
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11
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Vincent B, Maitra S. BACE1-dependent metabolism of neuregulin 1: Bridging the gap in explaining the occurrence of schizophrenia-like symptoms in Alzheimer's disease with psychosis? Ageing Res Rev 2023; 89:101988. [PMID: 37331479 DOI: 10.1016/j.arr.2023.101988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 06/14/2023] [Accepted: 06/15/2023] [Indexed: 06/20/2023]
Abstract
Alzheimer's disease is a neurodegenerative disease mainly characterized by cortico-neuronal atrophy, impaired memory and other cognitive declines. On the other hand, schizophrenia is a neuro-developmental disorder with an overtly active central nervous system pruning system resulting into abrupt connections with common symptoms including disorganised thoughts, hallucination and delusion. Nevertheless, the fronto-temporal anomaly presents itself as a common denominator for the two pathologies. There is even a strong presumption of increased risk of developing co-morbid dementia for schizophrenic individuals and psychosis for Alzheimer's disease patients, overall leading to a further deteriorated quality of life. However, convincing proofs of how these two disorders, although very distant from each other when considering their aetiology, develop coexisting symptoms is yet to be resolved. At the molecular level, the two primarily neuronal proteins β-amyloid precursor protein and neuregulin 1 have been considered in this relevant context, although the conclusions are for the moment only hypotheses. In order to propose a model for explaining the psychotic schizophrenia-like symptoms that sometimes accompany AD-associated dementia, this review projects out on the similar sensitivity shared by these two proteins regarding their metabolism by the β-site APP cleaving enzyme 1.
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Affiliation(s)
- Bruno Vincent
- Institute of Molecular and Cellular Pharmacology, Laboratory of Excellence DistALZ, Université Côte d'Azur, INSERM, CNRS, Sophia-Antipolis, 06560 Valbonne, France.
| | - Subhamita Maitra
- Department of Molecular Biology, Umeå University, Umeå 90736, Sweden
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12
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Dolphin H, Dyer AH, McHale C, O'Dowd S, Kennelly SP. An Update on Apathy in Alzheimer's Disease. Geriatrics (Basel) 2023; 8:75. [PMID: 37489323 PMCID: PMC10366907 DOI: 10.3390/geriatrics8040075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 06/21/2023] [Accepted: 07/11/2023] [Indexed: 07/26/2023] Open
Abstract
Apathy is a complex multi-dimensional syndrome that affects up to 70% of individuals with Alzheimer's disease (AD). Whilst many frameworks to define apathy in AD exist, most include loss of motivation or goal-directed behaviour as the central feature. Apathy is associated with significant impact on persons living with AD and their caregivers and is also associated with accelerated cognitive decline across the AD spectrum. Neuroimaging studies have highlighted a key role of fronto-striatial circuitry including the anterior cingulate cortex (ACC), orbito-frontal cortex (OFC) and associated subcortical structures. Importantly, the presence and severity of apathy strongly correlates with AD stage and neuropathological biomarkers of amyloid and tau pathology. Following from neurochemistry studies demonstrating a central role of biogenic amine neurotransmission in apathy syndrome in AD, recent clinical trial data suggest that apathy symptoms may improve following treatment with agents such as methylphenidate-which may have an important role alongside emerging non-pharmacological treatment strategies. Here, we review the diagnostic criteria, rating scales, prevalence, and risk factors for apathy in AD. The underlying neurobiology, neuropsychology and associated neuroimaging findings are reviewed in detail. Finally, we discuss current treatment approaches and strategies aimed at targeting apathy syndrome in AD, highlighting areas for future research and clinical trials in patient cohorts.
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Affiliation(s)
- Helena Dolphin
- Tallaght Institute of Memory and Cognition, Tallaght University Hospital, D24NR0A Dublin, Ireland
- Department of Medical Gerontology, School of Medicine, Trinity College Dublin, D08W9RT Dublin, Ireland
| | - Adam H Dyer
- Tallaght Institute of Memory and Cognition, Tallaght University Hospital, D24NR0A Dublin, Ireland
- Department of Medical Gerontology, School of Medicine, Trinity College Dublin, D08W9RT Dublin, Ireland
| | - Cathy McHale
- Tallaght Institute of Memory and Cognition, Tallaght University Hospital, D24NR0A Dublin, Ireland
| | - Sean O'Dowd
- Tallaght Institute of Memory and Cognition, Tallaght University Hospital, D24NR0A Dublin, Ireland
- Department of Neurology, Tallaght University Hospital, D24NR0A Dublin, Ireland
- Academic Unit of Neurology, Trinity College Dublin, D02R590 Dublin, Ireland
| | - Sean P Kennelly
- Tallaght Institute of Memory and Cognition, Tallaght University Hospital, D24NR0A Dublin, Ireland
- Department of Medical Gerontology, School of Medicine, Trinity College Dublin, D08W9RT Dublin, Ireland
- Department of Clinical Medicine, School of Medicine, Trinity College Dublin, D08W9RT Dublin, Ireland
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13
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Imai A, Matsuoka T, Narumoto J. Emotional Dysregulation in Mild Behavioral Impairment Is Associated with Reduced Cortical Thickness in the Right Supramarginal Gyrus. J Alzheimers Dis 2023; 93:521-532. [PMID: 37038811 DOI: 10.3233/jad-220948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/12/2023]
Abstract
BACKGROUND Mild behavioral impairment (MBI) has attracted attention as a possible precursor symptom of dementia, but its neural basis has not been fully investigated. OBJECTIVE We aimed to investigate the relationship between MBI and surface area, cortical thickness, and volume in the temporal and parietal lobes, which are strongly associated with dementia and emotional disorders. METHODS This retrospective study evaluated 123 participants: 90 with mild cognitive impairment (MCI), 13 with subjective cognitive decline (SCD), and 20 cognitively healthy (CH). Using analysis of covariance (ANCOVA) with sex, age, and MMSE score as covariates, cortical thickness, surface area, and volume in 10 regions were compared between groups with and without MBI. Groups with MBI emotional dysregulation were also compared with groups without MBI. RESULTS ANCOVA revealed significantly smaller cortical thickness in the MBI group's right parahippocampal (p = 0.01) and supramarginal gyri (p = 0.002). After multiple comparison correction, only the right supramarginal gyrus was significantly smaller (p = 0.02). When considering only MBI emotional dysregulation, the right parahippocampal and supramarginal gyrus' cortical thicknesses were significantly smaller in this MBI group (p = 0.03, 0.01). However, multiple comparison correction identified no significant differences (p = 0.14, 0.11). CONCLUSION Overall MBI and the emotional dysregulation domains were associated with reduced cortical thickness in the right parahippocampal and supramarginal gyri. Since neurodegeneration in the medial temporal and parietal lobe precedes early Alzheimer's disease (AD), MBI, particularly emotion dysregulation, may predict early AD below the diagnostic threshold.
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Affiliation(s)
- Ayu Imai
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Teruyuki Matsuoka
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Jin Narumoto
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
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14
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Kim H, Zhu X, Zhao Y, Bell S, Gehrman P, Cohen D, Devanand D, Goldberg T, Lee S. Resting-State Functional Connectivity Changes in Older Adults with Sleep Disturbance and the Role of Amyloid Burden. RESEARCH SQUARE 2023:rs.3.rs-2547880. [PMID: 36798352 PMCID: PMC9934741 DOI: 10.21203/rs.3.rs-2547880/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
Abstract
Sleep and related disorders could lead to changes in various brain networks, but little is known about the role of amyloid β (Aβ) burden-a key Alzheimer's disease (AD) biomarker-in the relationship between sleep disturbance and altered resting state functional connectivity (rsFC) in older adults. This cross-sectional study examined the association between sleep disturbance, Aβ burden, and rsFC using a large-scale dataset from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Sample included 489 individuals (53.6% cognitively normal, 32.5% mild cognitive impairment, and 13.9% AD) who had completed sleep measures (Neuropsychiatric Inventory), PET Aβ data, and resting-state fMRI scans at baseline. Within and between rsFC of the Salience (SN), the Default Mode (DMN) and the Frontal Parietal network (FPN) were compared between participants with sleep disturbance versus without sleep disturbance. The interaction between Aβ positivity and sleep disturbance was evaluated using linear regressions, controlling for age, diagnosis status, gender, sedatives and hypnotics use, and hypertension. Although no significant main effect of sleep disturbance was found on rsFC, a significant interaction term emerged between sleep disturbance and Aβ burden on rsFC of SN (β=0.11, P=0.006). Specifically, sleep disturbance was associated with SN hyperconnectivity, only with the presence of Aβ burden. Sleep disturbance may lead to altered connectivity in the SN when Aβ is accumulated in the brain. Individuals with AD pathology may be at increased risk for sleep-related aberrant rsFC; therefore, identifying and treating sleep problems in these individuals may help prevent further disease progression.
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Affiliation(s)
| | - Xi Zhu
- Columbia University Medical Center
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15
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Fresnais D, Humble MB, Bejerot S, Meehan AD, Fure B. Apathy as a Predictor for Conversion From Mild Cognitive Impairment to Dementia: A Systematic Review and Meta-Analysis of Longitudinal Studies. J Geriatr Psychiatry Neurol 2023; 36:3-17. [PMID: 35446723 PMCID: PMC9755689 DOI: 10.1177/08919887221093361] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
BACKGROUND Apathy is one of the most prevalent neurobehavioral manifestations in mild cognitive impairment (MCI) and is included among the behavioral and psychological symptoms of dementia (BPSD). Studies suggest that the presence of apathy could be associated with increased dementia risk. The role of apathy in conversion from MCI to dementia, and whether apathy could be a relevant predictor for dementia progression, are still matters of investigation. AIM To study the relationship between apathy and progression to dementia in individuals with MCI. METHODS A systematic literature search in Medline, Embase, Cochrane Library, Epistemonikos, PsychINFO, and CINAHL was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The search included longitudinal studies reporting on the association between apathy and dementia. RESULTS The main outcome was pooled unadjusted hazard ratios (HR) of apathy in dementia conversion and included 11 studies with 9504 individuals. There was a significant association between apathy and dementia conversion, HR = 1.54; 95% CI, 1.29, 1.84. Subgroup analysis showed a significant association between apathy and progression to AD. CONCLUSION Apathy was associated with an increased risk of conversion to AD and all-cause dementia in patients with MCI. The role of apathy as a marker for incident dementia needs to be investigated in large, high-quality studies.
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Affiliation(s)
- David Fresnais
- School of Medical Sciences, Örebro University, Örebro, Sweden,Department of Internal Medicine, Central Hospital Karlstad, Region Värmland, Sweden
| | - Mats B. Humble
- School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Susanne Bejerot
- School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Adrian D. Meehan
- School of Medical Sciences, Örebro University, Örebro, Sweden,Department of Geriatrics, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
| | - Brynjar Fure
- School of Medical Sciences, Örebro University, Örebro, Sweden,Department of Internal Medicine, Central Hospital Karlstad, Region Värmland, Sweden,Brynjar Fure, School of Medical Sciences, Örebro University, Fakultetsgatan 1, Örebro 702 81, Sweden.
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16
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Yasuno F, Kimura Y, Ogata A, Ikenuma H, Abe J, Minami H, Nihashi T, Yokoi K, Hattori S, Shimoda N, Watanabe A, Kasuga K, Ikeuchi T, Takeda A, Sakurai T, Ito K, Kato T. Involvement of inflammation in the medial temporal region in the development of agitation in Alzheimer's disease: an in vivo positron emission tomography study. Psychogeriatrics 2023; 23:126-135. [PMID: 36403981 PMCID: PMC10100091 DOI: 10.1111/psyg.12915] [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: 09/13/2022] [Revised: 10/20/2022] [Accepted: 11/04/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND The evaluation of 11 C-DPA-713 binding using positron emission tomography for quantifying the translocator protein can be a sensitive approach in determining the level of glial activation induced by neuroinflammation. Herein, we aimed to investigate the relationship between regional 11 C-DPA713-binding potential (BPND ) and neuropsychiatric symptoms (NPS) in amyloid-positive Alzheimer's disease (AD) patients. METHODS Fifteen AD patients were enrolled in this study. Correlations were evaluated between the 11 C-DPA713-BPND and Neuropsychiatric Inventory Questionnaire (NPI-Q) scores, including scores in its four domains: agitation, psychosis, affective, and apathy. 11 C-DPA713-BPND values were compared between groups with and without the neuropsychiatric symptoms for which a relationship was observed in the abovementioned correlation analysis. RESULTS A positive correlation was found between the severity of agitation and 11 C-DPA713-BPND in the Braak 1-3 area, including the amygdala, hippocampal and parahippocampal regions, and lingual and fusiform areas. An increase in the 11 C-DPA713-BPND was observed in AD patients with agitation. We did not find any significant effects of possible confounding factors, such as age, duration of illness, education, gender, Mini-Mental State Examination score, cerebrospinal fluid amyloid β 42/40 ratio, and apolipoprotein E4 positivity, on either the 11 C-DPA713-BPND or agitation score. CONCLUSIONS Neuroinflammation in the medial temporal region and its neighbouring area was shown to be associated with the development of agitation symptoms in AD patients. Our findings extend those of previous studies showing an association between some NPS and inflammation, suggesting that immunologically based interventions for agitation can serve as an alternative treatment for dementia.
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Affiliation(s)
- Fumihiko Yasuno
- National Hospital for Geriatric Medicine, National Centre for Geriatrics and Gerontology, Obu, Japan.,Department of Clinical and Experimental Neuroimaging, Centre for Development of Advanced Medicine for Dementia, National Centre for Geriatrics and Gerontology, Obu, Japan
| | - Yasuyuki Kimura
- National Hospital for Geriatric Medicine, National Centre for Geriatrics and Gerontology, Obu, Japan.,Department of Clinical and Experimental Neuroimaging, Centre for Development of Advanced Medicine for Dementia, National Centre for Geriatrics and Gerontology, Obu, Japan
| | - Aya Ogata
- Department of Clinical and Experimental Neuroimaging, Centre for Development of Advanced Medicine for Dementia, National Centre for Geriatrics and Gerontology, Obu, Japan.,Department of Pharmacy, Faculty of Pharmacy, Gifu University of Medical Science, Kani, Japan
| | - Hiroshi Ikenuma
- Department of Clinical and Experimental Neuroimaging, Centre for Development of Advanced Medicine for Dementia, National Centre for Geriatrics and Gerontology, Obu, Japan
| | - Junichiro Abe
- Department of Clinical and Experimental Neuroimaging, Centre for Development of Advanced Medicine for Dementia, National Centre for Geriatrics and Gerontology, Obu, Japan
| | - Hiroyuki Minami
- National Hospital for Geriatric Medicine, National Centre for Geriatrics and Gerontology, Obu, Japan
| | - Takashi Nihashi
- National Hospital for Geriatric Medicine, National Centre for Geriatrics and Gerontology, Obu, Japan
| | - Kastunori Yokoi
- National Hospital for Geriatric Medicine, National Centre for Geriatrics and Gerontology, Obu, Japan
| | - Saori Hattori
- Department of Clinical and Experimental Neuroimaging, Centre for Development of Advanced Medicine for Dementia, National Centre for Geriatrics and Gerontology, Obu, Japan
| | - Nobuyoshi Shimoda
- Molecular Analysis Division, Centre for Core Facility Administration, National Centre for Geriatrics and Gerontology, Obu, Japan
| | - Atsushi Watanabe
- Equipment Management Division, Centre for Core Facility Administration, National Centre for Geriatrics and Gerontology, Obu, Japan
| | - Kensaku Kasuga
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Niigata, Japan
| | - Takeshi Ikeuchi
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Niigata, Japan
| | - Akinori Takeda
- National Hospital for Geriatric Medicine, National Centre for Geriatrics and Gerontology, Obu, Japan
| | - Takashi Sakurai
- National Hospital for Geriatric Medicine, National Centre for Geriatrics and Gerontology, Obu, Japan
| | - Kengo Ito
- National Hospital for Geriatric Medicine, National Centre for Geriatrics and Gerontology, Obu, Japan.,Department of Clinical and Experimental Neuroimaging, Centre for Development of Advanced Medicine for Dementia, National Centre for Geriatrics and Gerontology, Obu, Japan
| | - Takashi Kato
- National Hospital for Geriatric Medicine, National Centre for Geriatrics and Gerontology, Obu, Japan.,Department of Clinical and Experimental Neuroimaging, Centre for Development of Advanced Medicine for Dementia, National Centre for Geriatrics and Gerontology, Obu, Japan
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17
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Jung JH, Kim G, Byun MS, Lee JH, Yi D, Park H, Lee DY. Gut microbiome alterations in preclinical Alzheimer's disease. PLoS One 2022; 17:e0278276. [PMID: 36445883 PMCID: PMC9707757 DOI: 10.1371/journal.pone.0278276] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 11/12/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Although some human studies have reported gut microbiome changes in individuals with Alzheimer's disease (AD) dementia or mild cognitive impairment (MCI), gut microbiome alterations in preclinical AD, i.e., cerebral amyloidosis without cognitive impairment, is largely unknown. OBJECTIVE We aimed to identify gut microbial alterations associated with preclinical AD by comparing cognitively normal (CN) older adults with cerebral Aβ deposition (Aβ+ CN) and those without cerebral Aβ deposition (Aβ- CN). METHODS Seventy-eight CN older participants (18 Aβ+ CN and 60 Aβ- CN) were included, and all participants underwent clinical assessment and Pittsburg compound B-positron emission tomography. The V3-V4 region of the 16S rRNA gene of genomic DNA extracted from feces was amplified and sequenced to establish the microbial community. RESULTS Generalized linear model analysis revealed that the genera Megamonas (B = 3.399, q<0.001), Serratia (B = 3.044, q = 0.005), Leptotrichia (B = 5.862, q = 0.024) and Clostridium (family Clostridiaceae) (B = 0.788, q = 0.034) were more abundant in the Aβ+ CN group than the Aβ- CN group. In contrast, genera CF231 (B = -3.237, q< 0.001), Victivallis (B = -3.447, q = 0.004) Enterococcus (B = -2.044, q = 0.042), Mitsuokella (B = -2.119, q = 0.042) and Clostridium (family Erysipelotrichaceae) (B = -2.222, q = 0.043) were decreased in Aβ+ CN compared to Aβ- CN. Notably, the classification model including the differently abundant genera could effectively distinguish Aβ+ CN from Aβ- CN (AUC = 0.823). CONCLUSION Our findings suggest that specific alterations of gut bacterial taxa are related to preclinical AD, which means these changes may precede cognitive decline. Therefore, examining changes in the microbiome may be helpful in preclinical AD screening.
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Affiliation(s)
- Joon Hyung Jung
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
| | - Gihyeon Kim
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea
| | - Min Soo Byun
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
| | - Jun Ho Lee
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
| | - Dahyun Yi
- Institute of Human Behavioral Medicine, Medical Research Center Seoul National University, Seoul, Republic of Korea
| | - Hansoo Park
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea
- Genome and Company, Seongnam, Republic of Korea
- * E-mail: (DYL); (HP)
| | - Dong Young Lee
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
- Institute of Human Behavioral Medicine, Medical Research Center Seoul National University, Seoul, Republic of Korea
- * E-mail: (DYL); (HP)
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18
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Agüera-Ortiz L, Babulal GM, Bruneau MA, Creese B, D'Antonio F, Fischer CE, Gatchel JR, Ismail Z, Kumar S, McGeown WJ, Mortby ME, Nuñez NA, de Oliveira FF, Pereiro AX, Ravona-Springer R, Rouse HJ, Wang H, Lanctôt KL. Psychosis as a Treatment Target in Dementia: A Roadmap for Designing Interventions. J Alzheimers Dis 2022; 88:1203-1228. [PMID: 35786651 PMCID: PMC9484097 DOI: 10.3233/jad-215483] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Psychotic phenomena are among the most severe and disruptive symptoms of dementias and appear in 30% to 50% of patients. They are associated with a worse evolution and great suffering to patients and caregivers. Their current treatments obtain limited results and are not free of adverse effects, which are sometimes serious. It is therefore crucial to develop new treatments that can improve this situation. We review available data that could enlighten the future design of clinical trials with psychosis in dementia as main target. Along with an explanation of its prevalence in the common diseases that cause dementia, we present proposals aimed at improving the definition of symptoms and what should be included and excluded in clinical trials. A review of the available information regarding the neurobiological basis of symptoms, in terms of pathology, neuroimaging, and genomics, is provided as a guide towards new therapeutic targets. The correct evaluation of symptoms is transcendental in any therapeutic trial and these aspects are extensively addressed. Finally, a critical overview of existing pharmacological and non-pharmacological treatments is made, revealing the unmet needs, in terms of efficacy and safety. Our work emphasizes the need for better definition and measurement of psychotic symptoms in dementias in order to highlight their differences with symptoms that appear in non-dementing diseases such as schizophrenia. Advances in neurobiology should illuminate the development of new, more effective and safer molecules for which this review can serve as a roadmap in the design of future clinical trials.
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Affiliation(s)
- Luis Agüera-Ortiz
- Department of Psychiatry, Instituto de Investigación Sanitaria (imas12), Hospital Universitario 12 de Octubre, & Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Instituto de Salud Carlos III, Madrid, Spain
| | - Ganesh M Babulal
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA.,Department of Clinical Research and Leadership, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA.,Department of Psychology, Faculty of Humanities, University of Johannesburg, South Africa
| | - Marie-Andrée Bruneau
- Department of Psychiatry and Addictology, Faculty of Medicine, University of Montreal, Quebec, Canada.,Geriatric Institute of Montreal Research Center, Montreal, Quebec, Canada
| | - Byron Creese
- Medical School, College of Medicine and Health, University of Exeter, UK
| | | | - Corinne E Fischer
- Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Toronto, Ontario, Canada.,University of Toronto, Department of Psychiatry, Toronto, Ontario, Canada
| | - Jennifer R Gatchel
- Harvard Medical School; Massachusetts General Hospital, Boston MA, USA.,McLean Hospital, Belmont MA, USA
| | - Zahinoor Ismail
- Hotchkiss Brain Institute & O'Brien Institute for Public Health, University of Calgary, Calgary, Canada
| | - Sanjeev Kumar
- Adult Neurodevelopmental and Geriatric Psychiatry Division, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - William J McGeown
- School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK
| | - Moyra E Mortby
- School of Psychology, University of New South Wales, Sydney, Australia & Neuroscience Research Australia, Sydney, Australia
| | - Nicolas A Nuñez
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Fabricio F de Oliveira
- Department of Neurology and Neurosurgery, Escola Paulista de Medicina, Federal University of São Paulo (UNIFESP), São Paulo, Brazil
| | - Arturo X Pereiro
- Facultade de Psicoloxía, Universidade de Santiago de Compostela, Spain
| | - Ramit Ravona-Springer
- Sheba Medical Center, Tel Hashomer, Israel & Sackler School of Medicine, Tel Aviv University, Israel
| | - Hillary J Rouse
- School of Aging Studies, University of South Florida, Tampa, FL, USA.,SiteRx, New York, NY, USA
| | - Huali Wang
- Dementia Care and Research Center, Peking University Institute of Mental Health; National & Clinical Research Center for Mental Disorders, Beijing, China
| | - Krista L Lanctôt
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute and Departments of Psychiatry and Pharmacology, University of Toronto, Toronto, Ontario, Canada
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19
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Miao R, Chen HY, Gill S, Naude J, Smith EE, Ismail Z. Plasma β-Amyloid in Mild Behavioural Impairment - Neuropsychiatric Symptoms on the Alzheimer's Continuum. J Geriatr Psychiatry Neurol 2022; 35:434-441. [PMID: 34036829 DOI: 10.1177/08919887211016068] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
INTRODUCTION Simple markers are required to recognize older adults at higher risk for neurodegenerative disease. Mild behavioural impairment (MBI) and plasma β-amyloid (Aβ) have been independently implicated in the development of incident cognitive decline and dementia. Here we studied the associations between MBI and plasma Aβ42/Aβ40. METHODS Participants with normal cognition (n = 86) or mild cognitive impairment (n = 53) were selected from the Alzheimer's Disease Neuroimaging Initiative. MBI scores were derived from Neuropsychiatric Inventory items. Plasma Aβ42/Aβ40 ratios were assayed using mass spectrometry. Linear regressions were fitted to assess the association between MBI total score as well as MBI domain scores with plasma Aβ42/Aβ40. RESULTS Lower plasma Aβ42/Aβ40 was associated with higher MBI total score (p = 0.04) and greater affective dysregulation (p = 0.04), but not with impaired drive/motivation (p = 0.095) or impulse dyscontrol (p = 0.29) MBI domains. CONCLUSION In persons with normal cognition or mild cognitive impairment, MBI was associated with low plasma Aβ42/Aβ40. Incorporating MBI into case detection may help capture preclinical and prodromal Alzheimer's disease.
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Affiliation(s)
- Ruxin Miao
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.,Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Hung-Yu Chen
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.,Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Sascha Gill
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.,Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - James Naude
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Eric E Smith
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.,Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Zahinoor Ismail
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.,Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada.,Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
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20
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Kim H, Levine A, Cohen D, Gehrman P, Zhu X, Devanand DP, Lee S, Goldberg TE. The Role of Amyloid, Tau, and APOE Genotype on the Relationship Between Informant-Reported Sleep Disturbance and Alzheimer’s Disease Risks. J Alzheimers Dis 2022; 87:1567-1580. [DOI: 10.3233/jad-215417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: The association between sleep and Alzheimer’s disease (AD) biomarkers are well-established, but little is known about how they interact to change the course of AD. Objective: To determine the potential interaction between sleep disturbance and Aβ, tau, and APOE4 on brain atrophy and cognitive decline. Methods: Sample included 351 participants (mean age 72.01 ± 6.67, 50.4%female) who were followed for approximately 5 years as part of the Alzheimer’s Disease Neuroimaging Initiative. Informant-reported sleep disturbance (IRSD) was measured using the Neuropsychiatric Inventory (NPI). Changes in magnetic resonance imaging (MRI)-measured AD signature brain regions and cognitive performance and IRSD’s interaction with cerebrospinal fluid amyloid-β (Aβ42) and p-Tau depositions and APOE4 status were examined using the linear mixed models. Results: Baseline IRSD was not significantly associated with the rate of atrophy after adjusting for covariates (age, sex, education, total NPI severity score, and sleep medications). However, there was a significant interaction between IRSD and AD biomarkers on faster atrophy rates in multiple brain regions, including the cortical and middle temporal volumes. Post-hoc analyses indicated that Aβ and p-Tau/Aβ predicted a faster decline in these regions/domains in IRSD, compared with biomarker-negative individuals with IRSD (ps≤0.001). There was a significant IRSD*APOE4 interaction for brain atrophy rate (ps≤0.02) but not for cognition. Conclusion: IRSD may increase the future risk of AD by contributing to faster brain atrophy and cognitive decline when combined with the presence of AD biomarkers and APOE4. Early intervention for sleep disturbance could help reduce the risk of developing AD.
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Affiliation(s)
- Hyun Kim
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
- Divisionof Geriatric Psychiatry, New York State Psychiatric Institute, NewYork, NY, USA
| | - Alina Levine
- Division of Mental Health DataScience, New York State Psychiatric Institute, New York, NY, USA
| | - Daniel Cohen
- Divisionof Geriatric Psychiatry, New York State Psychiatric Institute, NewYork, NY, USA
| | - Philip Gehrman
- Department of Psychiatry, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, USA
- Mental Illness Research, Education, and Clinical Center, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
| | - Xi Zhu
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
- Divisionof Geriatric Psychiatry, New York State Psychiatric Institute, NewYork, NY, USA
| | - Davangere P. Devanand
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
- Divisionof Geriatric Psychiatry, New York State Psychiatric Institute, NewYork, NY, USA
- Department ofNeurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Seonjoo Lee
- Division of Mental Health DataScience, New York State Psychiatric Institute, New York, NY, USA
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Terry E. Goldberg
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
- Divisionof Geriatric Psychiatry, New York State Psychiatric Institute, NewYork, NY, USA
- Department of Anesthesiology, Columbia University Irving Medical Center, New York, NY, USA
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21
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Jaramillo-Jimenez A, Ying Y, Ren P, Xiao Z, Zhang Q, Wang J, Rong H, Borda MG, Bonanni L, Aarsland D, Wu D. Prodromal Dementia With Lewy Bodies and Recurrent Panic Attacks as the First Symptom: A Case Report. Front Neurol 2022; 13:839539. [PMID: 35493812 PMCID: PMC9043811 DOI: 10.3389/fneur.2022.839539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 03/03/2022] [Indexed: 11/13/2022] Open
Abstract
Psychiatric-onset dementia with Lewy bodies (DLB) might include symptoms of depression, hallucinations, anxiety, and apathy. Here, we report a patient with DLB with recurrent panic attacks as her first symptom 5 years before a biological-based diagnosis of probable DLB. We provide an extended description of the clinical presentation and course from psychiatric-onset DLB to dementia in an 83-year-old woman. This case illustrates the common misdiagnosis of DLB and the delay of having a detailed clinical and biomarker assessment for structured diagnosis. With a detailed description of the clinical presentation of this case, the empirical treatment strategies, and the patient perspectives, we aim to make clinicians aware of panic attacks within the psychiatric-onset DLB.
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Affiliation(s)
- Alberto Jaramillo-Jimenez
- Centre for Age-Related Medicine (SESAM), Stavanger University Hospital, Stavanger, Norway
- Faculty of Health Sciences, University of Stavanger, Stavanger, Norway
- Grupo de Neurociencias de Antioquia, School of Medicine Medellín, Universidad de Antioquia, Medellín, Colombia
- Grupo Neuropsicología y Conducta, School of Medicine Medellín, Universidad de Antioquia, Medellín, Colombia
- *Correspondence: Alberto Jaramillo-Jimenez
| | - Yinbing Ying
- Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen, China
| | - Ping Ren
- Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen, China
| | - Zhan Xiao
- Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen, China
| | - Qian Zhang
- Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen, China
| | - Jian Wang
- Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen, China
| | - Han Rong
- Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen, China
| | - Miguel Germán Borda
- Centre for Age-Related Medicine (SESAM), Stavanger University Hospital, Stavanger, Norway
- Faculty of Health Sciences, University of Stavanger, Stavanger, Norway
- Semillero de Neurociencias y Envejecimiento, Ageing Institute, Medical School, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Laura Bonanni
- Department of Medicine and Aging Sciences, University G. D'Annunzio of Chieti-Pescara, Chieti, Italy
| | - Dag Aarsland
- Centre for Age-Related Medicine (SESAM), Stavanger University Hospital, Stavanger, Norway
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
- Dag Aarsland
| | - Donghui Wu
- Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen, China
- Donghui Wu
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22
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Psychosis in Alzheimer disease - mechanisms, genetics and therapeutic opportunities. Nat Rev Neurol 2022; 18:131-144. [PMID: 34983978 PMCID: PMC9074132 DOI: 10.1038/s41582-021-00597-3] [Citation(s) in RCA: 53] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/29/2021] [Indexed: 12/14/2022]
Abstract
Psychosis is a common and distressing symptom in people with Alzheimer disease, and few safe and effective treatments are available. However, new approaches to symptom assessment and treatment are beginning to drive the field forward. New nosological perspectives have been provided by incorporating the emergence of psychotic symptoms in older adults - even in advance of dementia - into epidemiological and neurobiological frameworks as well as into diagnostic and research criteria such as the International Psychogeriatric Association criteria for psychosis in neurocognitive disorders, the Alzheimer's Association International Society to Advance Alzheimer's Research and Treatment (ISTAART) research criteria for psychosis in neurodegenerative disease, and the ISTAART criteria for mild behavioural impairment. Here, we highlight the latest findings in genomics, neuroimaging and neurobiology that are informing approaches to drug discovery and repurposing. Current pharmacological and non-pharmacological treatment options are discussed, with a focus on safety and precision medicine. We also explore trial data for pimavanserin, a novel agent that shows promise for the treatment of psychosis in people with dementia, and discuss existing agents that might be useful but need further exploration such as escitalopram, lithium, cholinesterase inhibitors and vitamin D. Although the assessment and management of psychosis in people with dementia remain challenging, new opportunities are providing direction and hope to the field.
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23
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Apathy as a Treatment Target in Alzheimer's Disease: Implications for Clinical Trials. Am J Geriatr Psychiatry 2022; 30:119-147. [PMID: 34315645 DOI: 10.1016/j.jagp.2021.06.016] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 06/25/2021] [Accepted: 06/25/2021] [Indexed: 12/11/2022]
Abstract
Apathy is one of the most prevalent, stable and persistent neuropsychiatric symptom across the neurocognitive disorders spectrum. Recent advances in understanding of phenomenology, neurobiology and intervention trials highlight apathy as an important target for clinical intervention. We conducted a comprehensive review and critical evaluation of recent advances to determine the evidence-based suggestions for future trial designs. This review focused on 4 key areas: 1) pre-dementia states; 2) assessment; 3) mechanisms/biomarkers and 4) treatment/intervention efficacy. Considerable progress has been made in understanding apathy as a treatment target and appreciating pharmacological and non-pharmacological apathy treatment interventions. Areas requiring greater investigation include: diagnostic procedures, symptom measurement, understanding the biological mechanisms/biomarkers of apathy, and a well-formed approach to the development of treatment strategies. A better understanding of the subdomains and biological mechanisms of apathy will advance apathy as a treatment target for clinical trials.
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24
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König A, Mallick E, Tröger J, Linz N, Zeghari R, Manera V, Robert P. Measuring neuropsychiatric symptoms in patients with early cognitive decline using speech analysis. Eur Psychiatry 2021; 64:e64. [PMID: 34641989 PMCID: PMC8581700 DOI: 10.1192/j.eurpsy.2021.2236] [Citation(s) in RCA: 10] [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: 12/14/2022] Open
Abstract
BACKGROUND Certain neuropsychiatric symptoms (NPS), namely apathy, depression, and anxiety demonstrated great value in predicting dementia progression, representing eventually an opportunity window for timely diagnosis and treatment. However, sensitive and objective markers of these symptoms are still missing. Therefore, the present study aims to investigate the association between automatically extracted speech features and NPS in patients with mild neurocognitive disorders. METHODS Speech of 141 patients aged 65 or older with neurocognitive disorder was recorded while performing two short narrative speech tasks. NPS were assessed by the neuropsychiatric inventory. Paralinguistic markers relating to prosodic, formant, source, and temporal qualities of speech were automatically extracted, correlated with NPS. Machine learning experiments were carried out to validate the diagnostic power of extracted markers. RESULTS Different speech variables are associated with specific NPS; apathy correlates with temporal aspects, and anxiety with voice quality-and this was mostly consistent between male and female after correction for cognitive impairment. Machine learning regressors are able to extract information from speech features and perform above baseline in predicting anxiety, apathy, and depression scores. CONCLUSIONS Different NPS seem to be characterized by distinct speech features, which are easily extractable automatically from short vocal tasks. These findings support the use of speech analysis for detecting subtypes of NPS in patients with cognitive impairment. This could have great implications for the design of future clinical trials as this cost-effective method could allow more continuous and even remote monitoring of symptoms.
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Affiliation(s)
- Alexandra König
- Stars Team, Sophia Antipolis, Institut National de Recherche en Informatique et en Automatique (INRIA), Valbonne, France.,Clinical Research, ki:elements, Saarbrücken, Germany.,CoBTeK (Cognition-Behaviour-Technology) Lab, FRIS-University Côte d'Azur, Nice, France
| | - Elisa Mallick
- Stars Team, Sophia Antipolis, Institut National de Recherche en Informatique et en Automatique (INRIA), Valbonne, France.,Clinical Research, ki:elements, Saarbrücken, Germany.,CoBTeK (Cognition-Behaviour-Technology) Lab, FRIS-University Côte d'Azur, Nice, France
| | - Johannes Tröger
- Stars Team, Sophia Antipolis, Institut National de Recherche en Informatique et en Automatique (INRIA), Valbonne, France.,Clinical Research, ki:elements, Saarbrücken, Germany.,CoBTeK (Cognition-Behaviour-Technology) Lab, FRIS-University Côte d'Azur, Nice, France
| | - Nicklas Linz
- Stars Team, Sophia Antipolis, Institut National de Recherche en Informatique et en Automatique (INRIA), Valbonne, France.,Clinical Research, ki:elements, Saarbrücken, Germany.,CoBTeK (Cognition-Behaviour-Technology) Lab, FRIS-University Côte d'Azur, Nice, France
| | - Radia Zeghari
- Stars Team, Sophia Antipolis, Institut National de Recherche en Informatique et en Automatique (INRIA), Valbonne, France.,Clinical Research, ki:elements, Saarbrücken, Germany.,CoBTeK (Cognition-Behaviour-Technology) Lab, FRIS-University Côte d'Azur, Nice, France
| | - Valeria Manera
- Stars Team, Sophia Antipolis, Institut National de Recherche en Informatique et en Automatique (INRIA), Valbonne, France.,Clinical Research, ki:elements, Saarbrücken, Germany.,CoBTeK (Cognition-Behaviour-Technology) Lab, FRIS-University Côte d'Azur, Nice, France
| | - Philippe Robert
- Stars Team, Sophia Antipolis, Institut National de Recherche en Informatique et en Automatique (INRIA), Valbonne, France.,Clinical Research, ki:elements, Saarbrücken, Germany.,CoBTeK (Cognition-Behaviour-Technology) Lab, FRIS-University Côte d'Azur, Nice, France
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25
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Malkov A, Popova I, Ivanov A, Jang SS, Yoon SY, Osypov A, Huang Y, Zilberter Y, Zilberter M. Aβ initiates brain hypometabolism, network dysfunction and behavioral abnormalities via NOX2-induced oxidative stress in mice. Commun Biol 2021; 4:1054. [PMID: 34504272 PMCID: PMC8429759 DOI: 10.1038/s42003-021-02551-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Accepted: 08/12/2021] [Indexed: 12/30/2022] Open
Abstract
A predominant trigger and driver of sporadic Alzheimer’s disease (AD) is the synergy of brain oxidative stress and glucose hypometabolism starting at early preclinical stages. Oxidative stress damages macromolecules, while glucose hypometabolism impairs cellular energy supply and antioxidant defense. However, the exact cause of AD-associated glucose hypometabolism and its network consequences have remained unknown. Here we report NADPH oxidase 2 (NOX2) activation as the main initiating mechanism behind Aβ1-42-related glucose hypometabolism and network dysfunction. We utilize a combination of electrophysiology with real-time recordings of metabolic transients both ex- and in-vivo to show that Aβ1-42 induces oxidative stress and acutely reduces cellular glucose consumption followed by long-lasting network hyperactivity and abnormalities in the animal behavioral profile. Critically, all of these pathological changes were prevented by the novel bioavailable NOX2 antagonist GSK2795039. Our data provide direct experimental evidence for causes and consequences of AD-related brain glucose hypometabolism, and suggest that targeting NOX2-mediated oxidative stress is a promising approach to both the prevention and treatment of AD. Anton Malkov, Irina Popova et al. demonstrate that beta-amyloid application induces oxidative stress and reduces glucose consumption in the mouse brain, leading to network hyperactivity and behavioral changes—pathologies similar to those observed early on in Alzheimer’s disease patients. Inhibition of NADPH oxidase 2 (NOX2) rescued these phenotypes, suggesting that NOX2 may represent an important therapeutic target for Alzheimer’s disease.
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Affiliation(s)
- Anton Malkov
- Institute of Theoretical and Experimental Biophysics, Russian Academy of Sciences, Pushchino, Russia
| | - Irina Popova
- Institute of Theoretical and Experimental Biophysics, Russian Academy of Sciences, Pushchino, Russia
| | - Anton Ivanov
- Aix Marseille Université, Inserm, Marseille, France
| | - Sung-Soo Jang
- Gladstone Institute of Neurological Disease, San Francisco, CA, USA
| | - Seo Yeon Yoon
- Gladstone Institute of Neurological Disease, San Francisco, CA, USA
| | - Alexander Osypov
- Institute of Theoretical and Experimental Biophysics, Russian Academy of Sciences, Pushchino, Russia.,Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Moscow, Russia
| | - Yadong Huang
- Gladstone Institute of Neurological Disease, San Francisco, CA, USA.,Department of Neurology, University of California, San Francisco, CA, USA
| | | | - Misha Zilberter
- Gladstone Institute of Neurological Disease, San Francisco, CA, USA.
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26
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Takamiya A, Vande Casteele T, Koole M, De Winter FL, Bouckaert F, Van den Stock J, Sunaert S, Dupont P, Vandenberghe R, Van Laere K, Vandenbulcke M, Emsell L. Lower regional gray matter volume in the absence of higher cortical amyloid burden in late-life depression. Sci Rep 2021; 11:15981. [PMID: 34354136 PMCID: PMC8342521 DOI: 10.1038/s41598-021-95206-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 06/21/2021] [Indexed: 02/07/2023] Open
Abstract
Late-life depression (LLD) is associated with a risk of developing Alzheimer's disease (AD). However, the role of AD-pathophysiology in LLD, and its association with clinical symptoms and cognitive function are elusive. In this study, one hundred subjects underwent amyloid positron emission tomography (PET) imaging with [18F]-flutemetamol and structural MRI: 48 severely depressed elderly subjects (age 74.1 ± 7.5 years, 33 female) and 52 age-/gender-matched healthy controls (72.4 ± 6.4 years, 37 female). The Geriatric Depression Scale (GDS) and Rey Auditory Verbal Learning Test (RAVLT) were used to assess the severity of depressive symptoms and episodic memory function respectively. Amyloid deposition was quantified using the standardized uptake value ratio. Whole-brain voxel-wise comparisons of amyloid deposition and gray matter volume (GMV) between LLD and controls were performed. Multivariate analysis of covariance was conducted to investigate the association of regional differences in amyloid deposition and GMV with clinical factors, including GDS and RAVLT. As a result, there were no significant group differences in amyloid deposition. In contrast, LLD showed significant lower GMV in the left temporal and parietal region. GMV reduction in the left temporal region was associated with episodic memory dysfunction, but not with depression severity. Regional GMV reduction was not associated with amyloid deposition. LLD is associated with lower GMV in regions that overlap with AD-pathophysiology, and which are associated with episodic memory function. The lack of corresponding associations with amyloid suggests that lower GMV driven by non-amyloid pathology may play a central role in the neurobiology of LLD presenting as a psychiatric disorder.Trial registration: European Union Drug Regulating Authorities Clinical Trials identifier: EudraCT 2009-018064-95.
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Affiliation(s)
- Akihiro Takamiya
- grid.5596.f0000 0001 0668 7884Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium ,grid.5596.f0000 0001 0668 7884Geriatric Psychiatry, University Psychiatric Center KU Leuven, Leuven, Belgium ,grid.26091.3c0000 0004 1936 9959Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Thomas Vande Casteele
- grid.5596.f0000 0001 0668 7884Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium ,grid.5596.f0000 0001 0668 7884Geriatric Psychiatry, University Psychiatric Center KU Leuven, Leuven, Belgium
| | - Michel Koole
- grid.5596.f0000 0001 0668 7884Nuclear Medicine and Molecular Imaging, Department of Imaging & Pathology, KU Leuven, Leuven, Belgium
| | - François-Laurent De Winter
- grid.5596.f0000 0001 0668 7884Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium ,grid.5596.f0000 0001 0668 7884Geriatric Psychiatry, University Psychiatric Center KU Leuven, Leuven, Belgium
| | - Filip Bouckaert
- grid.5596.f0000 0001 0668 7884Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium ,grid.5596.f0000 0001 0668 7884Geriatric Psychiatry, University Psychiatric Center KU Leuven, Leuven, Belgium
| | - Jan Van den Stock
- grid.5596.f0000 0001 0668 7884Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium ,grid.5596.f0000 0001 0668 7884Geriatric Psychiatry, University Psychiatric Center KU Leuven, Leuven, Belgium
| | - Stefan Sunaert
- grid.5596.f0000 0001 0668 7884Department of Imaging & Pathology, Translational MRI, KU Leuven, Leuven, Belgium ,grid.410569.f0000 0004 0626 3338Department of Radiology, University Hospitals Leuven (UZ Leuven), Leuven, Belgium
| | - Patrick Dupont
- grid.5596.f0000 0001 0668 7884Department of Neurosciences, Laboratory for Cognitive Neurology, Leuven Brain Institute, KU Leuven, Leuven, Belgium ,grid.5596.f0000 0001 0668 7884Alzheimer Research Centre KU Leuven, Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Rik Vandenberghe
- grid.5596.f0000 0001 0668 7884Department of Neurosciences, Laboratory for Cognitive Neurology, Leuven Brain Institute, KU Leuven, Leuven, Belgium ,grid.5596.f0000 0001 0668 7884Alzheimer Research Centre KU Leuven, Leuven Brain Institute, KU Leuven, Leuven, Belgium ,grid.410569.f0000 0004 0626 3338Neurology Department, University Hospitals Leuven (UZ Leuven), Leuven, Belgium
| | - Koen Van Laere
- grid.5596.f0000 0001 0668 7884Nuclear Medicine and Molecular Imaging, Department of Imaging & Pathology, KU Leuven, Leuven, Belgium
| | - Mathieu Vandenbulcke
- grid.5596.f0000 0001 0668 7884Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium ,grid.5596.f0000 0001 0668 7884Geriatric Psychiatry, University Psychiatric Center KU Leuven, Leuven, Belgium
| | - Louise Emsell
- grid.5596.f0000 0001 0668 7884Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium ,grid.5596.f0000 0001 0668 7884Geriatric Psychiatry, University Psychiatric Center KU Leuven, Leuven, Belgium ,grid.5596.f0000 0001 0668 7884Department of Imaging & Pathology, Translational MRI, KU Leuven, Leuven, Belgium
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Altered corticostriatal synchronization associated with compulsive-like behavior in APP/PS1 mice. Exp Neurol 2021; 344:113805. [PMID: 34242631 DOI: 10.1016/j.expneurol.2021.113805] [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] [Received: 01/20/2021] [Revised: 04/17/2021] [Accepted: 07/02/2021] [Indexed: 11/22/2022]
Abstract
Mild behavioral impairment (MBI), which can include compulsive behavior, is an early sign of Alzheimer's disease (AD), but its underlying neural mechanisms remain unclear. Here, we show that 3-5-month-old APP/PS1 mice display obsessive-compulsive disorder (OCD)-like behavior. The number of parvalbumin-positive (PV) interneurons and level of high gamma (γhigh) oscillation are significantly decreased in the striatum of AD mice. This is accompanied by enhanced β-γhigh coupling and firing rates of putative striatal projection neurons (SPNs), indicating decorrelation between PV interneurons and SPNs. Local field potentials (LFPs) simultaneously recorded in prefrontal cortex (PFC) and striatum (Str) demonstrate a decrease in γhigh-band coherent activity and spike-field coherence in corticostriatal circuits of APP/PS1 mice. Furthermore, levels of GABAB receptor (GABABR), but not GABAA receptor (GABAAR), and glutamatergic receptors, were markedly reduced, in line with presymptomatic AD-related behavioral changes. These findings suggest that MBI occurs as early as 3-5 months in APP/PS1 mice and that altered corticostriatal synchronization may play a role in mediating the behavioral phenotypes observed.
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Matuskova V, Ismail Z, Nikolai T, Markova H, Cechova K, Nedelska Z, Laczo J, Wang M, Hort J, Vyhnalek M. Mild Behavioral Impairment Is Associated With Atrophy of Entorhinal Cortex and Hippocampus in a Memory Clinic Cohort. Front Aging Neurosci 2021; 13:643271. [PMID: 34108874 PMCID: PMC8180573 DOI: 10.3389/fnagi.2021.643271] [Citation(s) in RCA: 55] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Accepted: 04/16/2021] [Indexed: 12/22/2022] Open
Abstract
Objectives Mild behavioral impairment (MBI) is a syndrome describing late-onset persistent neuropsychiatric symptoms (NPS) in non-demented older adults. Few studies to date have investigated the associations of MBI with structural brain changes. Our aim was to explore structural correlates of NPS in a non-demented memory clinic sample using the Mild Behavioral Impairment Checklist (MBI-C) that has been developed to measure MBI. Methods One hundred sixteen non-demented older adults from the Czech Brain Aging Study with subjective cognitive concerns were classified as subjective cognitive decline (n = 37) or mild cognitive impairment (n = 79). Participants underwent neurological and neuropsychological examinations and brain magnetic resonance imaging (MRI) (1.5 T). The Czech version of the MBI-C was administered to participants’ informants. Five a priori selected brain regions were measured, namely, thicknesses of the orbitofrontal cortex (OFC), anterior cingulate cortex (ACC), posterior cingulate cortex (PCC), and entorhinal cortex (ERC) and volume of the hippocampus (HV), and correlated with MBI-C total and domain scores. Results Entorhinal cortex was associated with MBI-C total score (rS = −0.368, p < 0.001) and with impulse dyscontrol score (rS = −0.284, p = 0.002). HV was associated with decreased motivation (rS = −0.248, p = 0.008) and impulse dyscontrol score (rS = −0.240, p = 0.011). Conclusion Neuropsychiatric symptoms, particularly in the MBI impulse dyscontrol and motivation domains, are associated with medial temporal lobe atrophy in a clinical cohort of non-demented older adults. This study supports earlier involvement of temporal rather than frontal regions in NPS manifestation. Since these regions are typically affected early in the course of Alzheimer’s disease (AD), the MBI-C may potentially help further identify individuals at-risk of developing AD dementia.
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Affiliation(s)
- Veronika Matuskova
- Memory Clinic, Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czechia.,International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czechia
| | - Zahinoor Ismail
- Department of Psychiatry, Cumming School of Medicine, Calgary, AB, Canada.,Department of Clinical Neurosciences, Cumming School of Medicine, Calgary, AB, Canada.,Department of Community Health Sciences, Cumming School of Medicine, Calgary, AB, Canada.,Hotchkiss Brain Institute and O'Brien Institute for Public Health, University of Calgary, Calgary, AB, Canada
| | - Tomas Nikolai
- Memory Clinic, Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czechia.,International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czechia
| | - Hana Markova
- Memory Clinic, Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czechia.,International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czechia
| | - Katerina Cechova
- Memory Clinic, Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czechia.,International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czechia
| | - Zuzana Nedelska
- Memory Clinic, Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czechia.,International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czechia
| | - Jan Laczo
- Memory Clinic, Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czechia.,International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czechia
| | - Meng Wang
- Department of Clinical Neurosciences, Cumming School of Medicine, Calgary, AB, Canada.,Department of Community Health Sciences, Cumming School of Medicine, Calgary, AB, Canada
| | - Jakub Hort
- Memory Clinic, Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czechia.,International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czechia
| | - Martin Vyhnalek
- Memory Clinic, Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czechia.,International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czechia
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29
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Stogios N, Gdanski A, Gerretsen P, Chintoh AF, Graff-Guerrero A, Rajji TK, Remington G, Hahn MK, Agarwal SM. Autonomic nervous system dysfunction in schizophrenia: impact on cognitive and metabolic health. NPJ SCHIZOPHRENIA 2021; 7:22. [PMID: 33903594 PMCID: PMC8076312 DOI: 10.1038/s41537-021-00151-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 03/18/2021] [Indexed: 12/17/2022]
Abstract
Schizophrenia (SCZ) is a psychiatric disorder characterized by a wide range of positive, negative and cognitive symptoms, along with an increased risk of metabolic syndrome and cardiovascular disease that contribute to a 15-20-year reduced life expectancy. Autonomic dysfunction, in the form of increased sympathetic activity and decreased parasympathetic activity, is postulated to be implicated in SCZ and its treatment. The aim of this narrative review is to view SCZ through an autonomic lens and synthesize the evidence relating autonomic dysfunction to different domains of SCZ. Using various methods of assessing autonomic activity, autonomic dysfunction was found to be associated with multiple aspects of SCZ pathophysiology, including symptom severity, cognitive impairment, and the development of cardiometabolic comorbidities, such as metabolic syndrome and high BMI. The strongest association of low heart rate variability was noted among patients on antipsychotic treatment with high-affinity muscarinic antagonism (i.e., clozapine, olanzapine and quetiapine). The review will also suggest ways in which studying autonomic dysfunction can help reduce morbidity and mortality associated with SCZ and its treatment.
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Affiliation(s)
- Nicolette Stogios
- Institute of Medical Science, University of Toronto, Toronto, Canada.,Center for Addiction and Mental Health (CAMH), Toronto, Canada
| | | | - Philip Gerretsen
- Institute of Medical Science, University of Toronto, Toronto, Canada.,Center for Addiction and Mental Health (CAMH), Toronto, Canada.,Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Araba F Chintoh
- Center for Addiction and Mental Health (CAMH), Toronto, Canada.,Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Ariel Graff-Guerrero
- Institute of Medical Science, University of Toronto, Toronto, Canada.,Center for Addiction and Mental Health (CAMH), Toronto, Canada.,Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Tarek K Rajji
- Institute of Medical Science, University of Toronto, Toronto, Canada.,Center for Addiction and Mental Health (CAMH), Toronto, Canada.,Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Gary Remington
- Institute of Medical Science, University of Toronto, Toronto, Canada.,Center for Addiction and Mental Health (CAMH), Toronto, Canada.,Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Margaret K Hahn
- Institute of Medical Science, University of Toronto, Toronto, Canada.,Center for Addiction and Mental Health (CAMH), Toronto, Canada.,Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Sri Mahavir Agarwal
- Institute of Medical Science, University of Toronto, Toronto, Canada. .,Center for Addiction and Mental Health (CAMH), Toronto, Canada. .,Department of Psychiatry, University of Toronto, Toronto, Canada.
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30
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Yasuno F, Minami H, Hattori H. Relationship between neuropsychiatric symptoms and Alzheimer's disease pathology: An in vivo positron emission tomography study. Int J Geriatr Psychiatry 2021; 36:598-605. [PMID: 33165946 PMCID: PMC7933053 DOI: 10.1002/gps.5459] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 10/15/2020] [Accepted: 11/01/2020] [Indexed: 11/11/2022]
Abstract
OBJECTIVES To investigate the relationship between amyloid-β- and tau-based Alzheimer's disease (AD) pathologies assessed using positron emission tomography imaging and neuropsychiatric symptoms (NPS) in a sample of AD continuum including clinically normal subjects and patients with mild cognitive impairment or AD. METHODS We analyzed datasets of the Alzheimer's disease Neuroimaging Initiative and included amyloid-positive subjects who underwent an AV-45 scan within 1 year of an AV-1451 scan (n = 99). Correlation between standardized uptake value ratio (SUVR) of AV-45 and AV-1451 and the Neuropsychiatric Inventory (NPI) score (and its four domain subscores for hyperactivity, psychosis, affective, and apathy) was evaluated. Stepwise logistic regression analysis was used to examine the influence of SUVRs on the presence of NPS. SUVRs were also tested for their ability to discriminate the group with NPS using receiver operating characteristic (ROC) curve analyses. RESULTS Significant positive relationships were found between the total NPI score and affective symptoms and Braak 1&2 (transentorhinal region) AV-1451 SUVR. Stepwise logistic regression analysis identified tau accumulation in the area of Braak 1&2 as a significant covariate discriminating the presence of affective symptoms. The area under the ROC curve analysis showed that subjects with affective symptoms were discriminated by AV-1451 SUVR with an accuracy of 77.7%. CONCLUSIONS Tau aggregation in the transentorhinal region, where neurodegeneration affected by tau pathology was seen in the early stage of AD, correlated with more severe NPS, especially affective symptoms. Therefore, tau pathology in the transentorhinal cortex might be associated with affective symptoms in the early stage of AD.
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Affiliation(s)
- Fumihiko Yasuno
- National Hospital for Geriatric Medicine, National Center for Geriatrics and Gerontology, Obu, Japan,Correspondence to: Fumihiko Yasuno, MD, PhD, Department of Psychiatry, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho Obu, Aichi 474-8511, Japan. Tel.: +81-562-46-2311; Fax: +81-562-44-8518;
| | - Hiroyuki Minami
- National Hospital for Geriatric Medicine, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Hideyuki Hattori
- National Hospital for Geriatric Medicine, National Center for Geriatrics and Gerontology, Obu, Japan
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Gracia-García P, Modrego P, Lobo A. Apathy and neurocognitive correlates: review from the perspective of 'precision psychiatry'. Curr Opin Psychiatry 2021; 34:193-198. [PMID: 33395095 DOI: 10.1097/yco.0000000000000677] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
PURPOSE OF REVIEW From the perspective of motivated behaviour and the so-called 'precision psychiatry', we try to identify recent advances in the neurocognitive and biological correlates of apathy. RECENT FINDINGS New evidence supports the notion that apathy is a common transdiagnostic and heterogeneous clinical syndrome, now conceptualized as a reduction in 'goal-directed' activity. Similarly, abundant evidence has been found related to neurocognitive correlates of apathy and the associations between clinical apathy and the processes primarily responsible for mediating motivational drive and effort-based decision making.Notwithstanding that the neurobiological basis is still poorly understood, there is some agreement in recent articles about a common system-level mechanism underlying apathy, pointing at specific medial frontal cortex and subcortical structures, including anterior cingulate cortex, medial orbitofrontal cortex and ventral striatum and related circuitry. SUMMARY Although difficulties in interpreting the results of these studies are apparent, because of different concepts of apathy used and methodological shortcomings identified, we have found consistent advances in the neurocognitive and biological correlates of apathy, relevant for the deep phenotyping proposed by the 'precision psychiatry' approach. This framework may eventually facilitate the identification of predictive-risk models and new specific therapeutic targets in psychiatry.
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Affiliation(s)
- Patricia Gracia-García
- Hospital Universitario Miguel Servet
- Departamento de Medicina y Psiquiatría, Universidad de Zaragoza, Zaragoza, Spain
- Instituto de Investigación Sanitaria Aragón [IIS Aragón]
- CIBERSAM, Instituto de Salud Carlos III, Zaragoza, Spain
| | - Pedro Modrego
- Hospital Universitario Miguel Servet
- Departamento de Medicina y Psiquiatría, Universidad de Zaragoza, Zaragoza, Spain
- Instituto de Investigación Sanitaria Aragón [IIS Aragón]
- CIBERSAM, Instituto de Salud Carlos III, Zaragoza, Spain
| | - Antonio Lobo
- Departamento de Medicina y Psiquiatría, Universidad de Zaragoza, Zaragoza, Spain
- Instituto de Investigación Sanitaria Aragón [IIS Aragón]
- CIBERSAM, Instituto de Salud Carlos III, Zaragoza, Spain
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Patel P, Masurkar AV. The Relationship of Anxiety with Alzheimer's Disease: A Narrative Review. Curr Alzheimer Res 2021; 18:359-371. [PMID: 34429045 DOI: 10.2174/1567205018666210823095603] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 03/18/2021] [Accepted: 04/05/2021] [Indexed: 11/22/2022]
Abstract
BACKGROUND There is an increased effort to better understand neuropsychiatric symptoms of Alzheimer's Disease (AD) as an important feature of symptomatic burden as well as potential modifiable factors of the disease process. Anxiety is one of the most common neuropsychiatric symptoms in Alzheimer's Disease (AD). A growing body of work has emerged that addresses the epidemiology and biological correlations of anxiety in AD. METHODS Here, we review human studies in research and clinical cohorts that examined anxiety in AD. We focused on work related to prevalence across AD stages, correlation with established biomarkers, relationship with AD neuropathology and genetic risk factors, and impact on progression. RESULTS Anxiety is prominent in the early stages and increases across the spectrum of functional stages. Biomarker relationships are strongest at the level of FDG-PET and amyloid measured via PET or cerebrospinal fluid analysis. Neuropathologically, anxiety emerges with early Braak stage tau pathology. The presence of the apolipoprotein E e4 allele is associated with increased anxiety at all stages, most notably at mild cognitive impairment. Anxiety portended a faster progression at all predementia stages. CONCLUSION This body of work suggests a close biological relationship between anxiety and AD that begins in early stages and influences functional decline. As such, we discuss future work that would improve our understanding of this relationship and test the validity of anxiolytic treatment as disease modifying therapy for AD.
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Affiliation(s)
- Palak Patel
- Department of Neurology, School of Medicine, New York University, New York, NY, United States
| | - Arjun V Masurkar
- Department of Neurology, School of Medicine, New York University, New York, NY, United States
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Anor CJ, Dadar M, Collins DL, Tartaglia MC. The Longitudinal Assessment of Neuropsychiatric Symptoms in Mild Cognitive Impairment and Alzheimer's Disease and Their Association With White Matter Hyperintensities in the National Alzheimer's Coordinating Center's Uniform Data Set. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2021; 6:70-78. [PMID: 32389747 PMCID: PMC7529680 DOI: 10.1016/j.bpsc.2020.03.006] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 03/16/2020] [Accepted: 03/17/2020] [Indexed: 10/24/2022]
Abstract
BACKGROUND Neuropsychiatric symptoms (NPSs) are common in Alzheimer's disease (AD). NPSs contribute to patients' distress, caregiver burden, and institutionalization. White matter hyperintensities (WMHs) appear on magnetic resonance imaging, usually indicative of cerebrovascular disease. WMHs have been associated with certain NPSs. We aimed to assess the relationship between WMH and NPS severity in mild cognitive impairment (MCI) due to AD (MCI-AD) and in AD and to assess the ability of WMHs to predict NPS progression. Data were obtained from the National Alzheimer's Coordinating Center. METHODS A total of 252 participants (114 with MCI-AD and 138 with AD) were used in this study. Baseline WMHs were quantified using an automated segmentation technique. NPSs were measured using the Neuropsychiatric Inventory. Mixed-effect models and correlations were used to determine the relationship between WMHs and NPSs. RESULTS Longitudinal mixed-effect models revealed a significant relationship between increase in Neuropsychiatric Inventory total scores and baseline WMHs (p = .014). There was a significant relationship between baseline WMHs and an increase in delusions (p = .023), hallucinations (p = .040), agitation (p = .093), depression (p = .017), and irritability (p = .002). Correlation plot analysis showed that baseline whole-brain WMHs predicted change in future Neuropsychiatric Inventory total scores (r = .169, p = .008) and predicted change in future agitation severity scores (r = .165, p = .009). WMHs in the temporal lobes (r = .169, p = .008) and frontal lobes (r = .153, p = .016) contributed most to this change. CONCLUSIONS Depression, irritability, and agitation are common NPSs and very distressful to patients and caregivers. Our findings of increased NPS severity over time in MCI-AD and AD with increased WMHs have important implications for treatment, arguing for aggressive treatment of vascular risk factors in patients with MCI-AD or AD.
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Affiliation(s)
- Cassandra J Anor
- University Health Network Memory Clinic, Department of Neurology, Toronto, Ontario, Canada; Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | - Mahsa Dadar
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - D Louis Collins
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - M Carmela Tartaglia
- University Health Network Memory Clinic, Department of Neurology, Toronto, Ontario, Canada; Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada.
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Esteban de Antonio E, López-Álvarez J, Rábano A, Agüera-Ortiz L, Sánchez-Soblechero A, Amaya L, Portela S, Cátedra C, Olazarán J. Pathological Correlations of Neuropsychiatric Symptoms in Institutionalized People with Dementia. J Alzheimers Dis 2020; 78:1731-1741. [PMID: 33185596 DOI: 10.3233/jad-200600] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Comprehensive clinicopathological studies of neuropsychiatric symptoms (NPS) in dementia are lacking. OBJECTIVE To describe the pathological correlations of NPS in a sample of institutionalized people with dementia. METHODS We studied 59 people who were consecutively admitted to a nursing home and donated their brain. Correlations between pathological variables and NPS upon admission (n = 59) and at one-year follow-up assessment (n = 46) were explored and confirmed using bivariate and multivariate statistical methods. RESULTS Mean (SD) age at admission was 83.2 (6.4) years and mean (SD) age at demise was 85.4 (6.6); 73% of the subjects were female and 98% presented advanced dementia. The most frequent etiological diagnosis was Alzheimer's disease (AD; 74.6% clinical diagnosis, 67.8% pathological diagnosis). The pathological diagnosis of AD was associated with aggression (β est 0.31), depression (β est 0.31), anxiety (β est 0.38), and irritability (β est 0.28). Tau stage correlated with aggressive symptoms (β est 0.32) and anxiety (βest 0.33). Coexistence of AD and Lewy body pathology was associated with depression (β est 0.32), while argyrophilic grains were associated with eating symptoms (β est 0.29). Predictive models were achieved for apathy, including cognitive performance, basal ganglia ischemic lesions, and sex as predictors (R2 0.38) and for sleep disorders, including pathological diagnosis of AD and age at demise (R2 0.18) (all p-values <0.05, unadjusted). CONCLUSION AD was the main pathological substrate of NPS in our sample of very elderly people with advanced dementia. However, correlations were mild, supporting a model of focal/asymmetric rather than diffuse brain damage, along with relevance of environmental and other personal factors, in the genesis of those symptoms.
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Affiliation(s)
| | | | - Alberto Rábano
- Alzheimer's Center Reina Sofía Foundation - CIEN Foundation and CIBERNED, Carlos III Institute of Health, Madrid, Spain
| | - Luis Agüera-Ortiz
- Psychiatry Department, University Hospital 12 de Octubre, Madrid, Spain.,CIBERSAM, Madrid, Spain
| | | | - Laura Amaya
- Neurology Service, University Hospital Gregorio Marañón, Madrid, Spain
| | - Sofía Portela
- Neurology Service, University Hospital Gregorio Marañón, Madrid, Spain
| | - Carlos Cátedra
- Neurology Service, University Hospital Gregorio Marañón, Madrid, Spain
| | - Javier Olazarán
- Neurology Service, University Hospital Gregorio Marañón, Madrid, Spain.,Memory Disorders Unit, HM Hospitals, Madrid, Spain
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Cantón-Habas V, Rich-Ruiz M, Romero-Saldaña M, Carrera-González MDP. Depression as a Risk Factor for Dementia and Alzheimer's Disease. Biomedicines 2020; 8:biomedicines8110457. [PMID: 33126696 PMCID: PMC7693751 DOI: 10.3390/biomedicines8110457] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Accepted: 10/26/2020] [Indexed: 12/18/2022] Open
Abstract
Preventing the onset of dementia and Alzheimer’s disease (AD), improving the diagnosis, and slowing the progression of these diseases remain a challenge. The aim of this study was to elucidate the association between depression and dementia/AD and to identify possible relationships between these diseases and different sociodemographic and clinical features. In this regard, a case-control study was conducted in Spain in 2018–2019. The definition of a case was: A person ≥ 65 years old with dementia and/or AD and a score of 5–7 on the Global Deterioration Scale (GDS). The sample consisted of 125 controls; among the cases, 96 had dementia and 74 had AD. The predictor variables were depression, dyslipidemia, type 2 diabetes mellitus, and hypertension. The results showed that depression, diabetes mellitus, and older age were associated with an increased likelihood of developing AD, with an Odds Ratio (OR) of 12.9 (95% confidence interval (CI): 4.3–39.9), 2.8 (95% CI: 1.1–7.1) and 1.15 (95% CI: 1.1–1.2), respectively. Those subjects with treated dyslipidemia were less likely to develop AD (OR 0.47, 95% CI: 0.22–1.1). Therefore, depression and diabetes mellitus increase the risk of dementia, whereas treated dyslipidemia has been shown to reduce this risk.
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Affiliation(s)
- Vanesa Cantón-Habas
- Maimónides Institute for Biomedical Research (IMIBIC), University of Córdoba, Reina Sofia University Hospital, 14004 Córdoba, Spain; (V.C.-H.); (M.R.-S.); (M.d.P.C.-G.)
| | - Manuel Rich-Ruiz
- Maimónides Institute for Biomedical Research (IMIBIC), University of Córdoba, Reina Sofia University Hospital, 14004 Córdoba, Spain; (V.C.-H.); (M.R.-S.); (M.d.P.C.-G.)
- Ciber Fragility and Healthy Aging (CIBERFES), 28001 Madrid, Spain
- Correspondence: ; Tel.: +34-69-542-4299
| | - Manuel Romero-Saldaña
- Maimónides Institute for Biomedical Research (IMIBIC), University of Córdoba, Reina Sofia University Hospital, 14004 Córdoba, Spain; (V.C.-H.); (M.R.-S.); (M.d.P.C.-G.)
| | - Maria del Pilar Carrera-González
- Maimónides Institute for Biomedical Research (IMIBIC), University of Córdoba, Reina Sofia University Hospital, 14004 Córdoba, Spain; (V.C.-H.); (M.R.-S.); (M.d.P.C.-G.)
- Experimental and Clinical Physiopathology Research Group, Department of Health Sciences, Faculty of Experimental and Health Sciences, University of Jaén, E-23071 Jaén, Spain
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Krell-Roesch J, Syrjanen JA, Rakusa M, Vemuri P, Machulda MM, Kremers WK, Mielke MM, Lowe VJ, Jack CR, Knopman DS, Stokin GB, Petersen RC, Vassilaki M, Geda YE. Association of Cortical and Subcortical β-Amyloid With Standardized Measures of Depressive and Anxiety Symptoms in Adults Without Dementia. J Neuropsychiatry Clin Neurosci 2020; 33:64-71. [PMID: 33086924 PMCID: PMC7856245 DOI: 10.1176/appi.neuropsych.20050103] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE The purpose of this study was to test the hypothesis that subcortical β-amyloid (Aβ) deposition was associated with elevated scores on standardized measures of depressive and anxiety symptoms when compared with cortical (Aβ) deposition in persons without dementia. METHODS The authors performed a cross-sectional study, derived from the population-based Mayo Clinic Study of Aging, comprising participants aged ≥70 years (N=1,022; 55% males; 28% apolipoprotein E [APOE] ε4 carriers; without cognitive impairment, N=842; mild cognitive impairment; N=180). To assess Aβ deposition in cortical and subcortical (the amygdala, striatum, and thalamus) regions, participants underwent Pittsburgh Compound B positron emission tomography (PiB-PET) and completed the Beck Depression Inventory-II (BDI-II) and the Beck Anxiety Inventory (BAI). The investigators ran linear regression models to examine the association between PiB-PET standardized uptake value ratios (SUVRs) in the neocortex and subcortical regions and depressive and anxiety symptoms (BDI-II and BAI total scores). Models were adjusted for age, sex, education level, and APOE ε4 carrier status and stratified by cognitive status (without cognitive impairment, mild cognitive impairment). RESULTS Cortical PiB-PET SUVRs were associated with depressive symptoms (β=0.57 [SE=0.13], p<0.001) and anxiety symptoms (β=0.34 [SE=0.13], p=0.011). PiB-PET SUVRs in the amygdala were associated only with depressive symptoms (β=0.80 [SE=0.26], p=0.002). PiB-PET SUVRs in the striatum and thalamus were associated with depressive symptoms (striatum: β=0.69 [SE=0.18], p<0.001; thalamus: β=0.61 [SE=0.24], p=0.011) and anxiety symptoms (striatum: β=0.56 [SE=0.18], p=0.002; thalamus: β=0.65 [SE=0.24], p=0.008). In the mild cognitive impairment subsample, Aβ deposition, regardless of neuroanatomic location, was associated with depressive symptoms but not anxiety symptoms. CONCLUSIONS Elevated amyloid deposition in cortical and subcortical brain regions was associated with higher depressive and anxiety symptoms, although these findings did not significantly differ by cortical versus subcortical Aβ deposition. This cross-sectional observation needs to be confirmed by a longitudinal study.
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Affiliation(s)
- Janina Krell-Roesch
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Jeremy A Syrjanen
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Martin Rakusa
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Prashanthi Vemuri
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Mary M Machulda
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Walter K Kremers
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Michelle M Mielke
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Val J Lowe
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Clifford R Jack
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - David S Knopman
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Gorazd B Stokin
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Ronald C Petersen
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Maria Vassilaki
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Yonas E Geda
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
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