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2. White Matter Hyperintensities Are No Major Confounder for Alzheimer’s Disease Cerebrospinal Fluid Biomarkers

Author

van Waalwijk van Doorn, Linda J.C., primary, Ghafoorian, Mohsen, additional, van Leijsen, Esther M.C., additional, Claassen, Jurgen A.H.R., additional, Arighi, Andrea, additional, Bozzali, Marco, additional, Cannas, Jorge, additional, Cavedo, Enrica, additional, Eusebi, Paolo, additional, Farotti, Lucia, additional, Fenoglio, Chiara, additional, Fortea, Juan, additional, Frisoni, Giovanni B., additional, Galimberti, Daniela, additional, Greco, Viviana, additional, Herukka, Sanna-Kaisa, additional, Liu, Yawu, additional, Lleó, Alberto, additional, de Mendonça, Alexandre, additional, Nobili, Flavio M., additional, Parnetti, Lucilla, additional, Picco, Agnese, additional, Pikkarainen, Maria, additional, Salvadori, Nicola, additional, Scarpini, Elio, additional, Soininen, Hilkka, additional, Tarducci, Roberto, additional, Urbani, Andrea, additional, Vilaplana, Eduard, additional, Meulenbroek, Olga, additional, Platel, Bram, additional, Verbeek, Marcel M., additional, and Kuiperij, H. Bea, additional

Published
2021
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4. White Matter Changes on Diffusion Tensor Imaging in the FINGER Randomized Controlled Trial.

Author

Stephen, Ruth, Solomon, Alina, Ngandu, Tiia, Levälahti, Esko, Rinne, Juha O., Kemppainen, Nina, Parkkola, Riitta, Antikainen, Riitta, Strandberg, Timo, Kivipelto, Miia, Soininen, Hilkka, Yawu Liu, Liu, Yawu, and FINGER study group

Subjects
DIFFUSION tensor imaging, WHITE matter (Nerve tissue), FINGERS, PATHOLOGICAL physiology, COGNITIVE training
Abstract

Background: Early pathological changes in white matter microstructure can be studied using the diffusion tensor imaging (DTI). It is not only important to study these subtle pathological changes leading to cognitive decline, but also to ascertain how an intervention would impact the white matter microstructure and cognition in persons at-risk of dementia.Objectives: To study the impact of a multidomain lifestyle intervention on white matter and cognitive changes during the 2-year Finnish Geriatric Intervention Study to prevent Cognitive Impairment and Disability (FINGER), a randomized controlled trial in at-risk older individuals (age 60-77 years) from the general population.Methods: This exploratory study consisted of a subsample of 60 FINGER participants. Participants were randomized to either a multidomain intervention (diet, exercise, cognitive training, and vascular risk management, n = 34) or control group (general health advice, n = 26). All underwent baseline and 2-year brain DTI. Changes in fractional anisotropy (FA), diffusivity along domain (F1) and non-domain (F2) diffusion orientations, mean diffusivity (MD), axial diffusivity (AxD), radial diffusivity (RD), and their correlations with cognitive changes during the 2-year multidomain intervention were analyzed.Results: FA decreased, and cognition improved more in the intervention group compared to the control group (p < 0.05), with no significant intergroup differences for changes in F1, F2, MD, AxD, or RD. The cognitive changes were significantly positively related to FA change, and negatively related to RD change in the control group, but not in the intervention group.Conclusion: The 2-year multidomain FINGER intervention may modulate white matter microstructural alterations. [ABSTRACT FROM AUTHOR]

Published
2020
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5. Association Between Later Life Lifestyle Factors and Alzheimer’s Disease Biomarkers in Non-Demented Individuals: A Longitudinal Descriptive Cohort Study

Author

Reijs, Babette L.R., primary, Vos, Stephanie J.B., additional, Soininen, Hilkka, additional, Lötjonen, Jyrki, additional, Koikkalainen, Juha, additional, Pikkarainen, Maria, additional, Hall, Anette, additional, Vanninen, Ritva, additional, Liu, Yawu, additional, Herukka, Sanna-Kaisa, additional, Freund-Levi, Yvonne, additional, Frisoni, Giovanni B., additional, Frölich, Lutz, additional, Nobili, Flavio, additional, Rikkert, Marcel Olde, additional, Spiru, Luiza, additional, Tsolaki, Magda, additional, Wallin, Åsa K., additional, Scheltens, Philip, additional, Verhey, Frans, additional, and Visser, Pieter Jelle, additional

Published
2017
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6. Associations of CAIDE Dementia Risk Score with MRI, PIB-PET measures, and cognition

Author

Stephen, Ruth, primary, Liu, Yawu, additional, Ngandu, Tiia, additional, Rinne, Juha O., additional, Kemppainen, Nina, additional, Parkkola, Riitta, additional, Laatikainen, Tiina, additional, Paajanen, Teemu, additional, Hänninen, Tuomo, additional, Strandberg, Timo, additional, Antikainen, Riitta, additional, Tuomilehto, Jaakko, additional, Keinänen Kiukaanniemi, Sirkka, additional, Vanninen, Ritva, additional, Helisalmi, Seppo, additional, Levälahti, Esko, additional, Kivipelto, Miia, additional, Soininen, Hilkka, additional, and Solomon, Alina, additional

Published
2017
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7. Improved Cerebrospinal Fluid-Based Discrimination between Alzheimer’s Disease Patients and Controls after Correction for Ventricular Volumes

Author

van Waalwijk van Doorn, Linda J.C., primary, Gispert, Juan D., additional, Kuiperij, H. Bea, additional, Claassen, Jurgen A.H.R., additional, Arighi, Andrea, additional, Baldeiras, Inês, additional, Blennow, Kaj, additional, Bozzali, Marco, additional, Castelo-Branco, Miguel, additional, Cavedo, Enrica, additional, Emek-Savaş, Derya D., additional, Eren, Erden, additional, Eusebi, Paolo, additional, Farotti, Lucia, additional, Fenoglio, Chiara, additional, Ormaechea, Juan Fortea, additional, Freund-Levi, Yvonne, additional, Frisoni, Giovanni B., additional, Galimberti, Daniela, additional, Genc, Sermin, additional, Greco, Viviana, additional, Hampel, Harald, additional, Herukka, Sanna-Kaisa, additional, Liu, Yawu, additional, Lladó, Albert, additional, Lleó, Alberto, additional, Nobili, Flavio M., additional, Oguz, Kader K., additional, Parnetti, Lucilla, additional, Pereira, João, additional, Picco, Agnese, additional, Pikkarainen, Maria, additional, de Oliveira, Catarina Resende, additional, Saka, Esen, additional, Salvadori, Nicola, additional, Sanchez-Valle, Raquel, additional, Santana, Isabel, additional, Scarpini, Elio, additional, Scheltens, Philip, additional, Soininen, Hilkka, additional, Tarducci, Roberto, additional, Teunissen, Charlotte, additional, Tsolaki, Magda, additional, Urbani, Andrea, additional, Vilaplana, Eduard, additional, Visser, Pieter Jelle, additional, Wallin, Asa K., additional, Yener, Görsev, additional, Molinuevo, José L., additional, Meulenbroek, Olga, additional, and Verbeek, Marcel M., additional

Published
2017
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8. Associations of CAIDE Dementia Risk Score with MRI, PIB-PET measures, and cognition.

Author

Helisalmi, Seppo, Stephen, Ruth, Soininen, Hilkka, Yawu Liu, Kivipelto, Miia, Solomon, Alina, Hänninen, Tuomo, Strandberg, Timo, Antikainen, Riitta, Kiukaanniemi, Sirkka Keinänen, Vanninen, Ritva, Levälahti, Esko, Tuomilehto, Jaakko, Ngandu, Tiia, Laatikainend, Tiina, Parkkola, Riitta, Rinne, Juha O., Kemppainen, Nina, Paajanen, Teemu, and Liu, Yawu

Subjects
DEMENTIA, COGNITION, MAGNETIC resonance imaging, BRAIN imaging, AMYLOID beta-protein, NEURODEGENERATION, AGING, GERIATRIC assessment, AMINES, BRAIN, LONGITUDINAL method, NEUROPSYCHOLOGICAL tests, THIAZOLES, POSITRON emission tomography
Abstract

Background: CAIDE Dementia Risk Score is the first validated tool for estimating dementia risk based on a midlife risk profile.Objectives: This observational study investigated longitudinal associations of CAIDE Dementia Risk Score with brain MRI, amyloid burden evaluated with PIB-PET, and detailed cognition measures.Methods: FINGER participants were at-risk elderly without dementia. CAIDE Risk Score was calculated using data from previous national surveys (mean age 52.4 years). In connection to baseline FINGER visit (on average 17.6 years later, mean age 70.1 years), 132 participants underwent MRI scans, and 48 underwent PIB-PET scans. All 1,260 participants were cognitively assessed (Neuropsychological Test Battery, NTB). Neuroimaging assessments included brain cortical thickness and volumes (Freesurfer 5.0.3), visually rated medial temporal atrophy (MTA), white matter lesions (WML), and amyloid accumulation.Results: Higher CAIDE Dementia Risk Score was related to more pronounced deep WML (OR 1.22, 95% CI 1.05-1.43), lower total gray matter (β-coefficient -0.29, p = 0.001) and hippocampal volume (β-coefficient -0.28, p = 0.003), lower cortical thickness (β-coefficient -0.19, p = 0.042), and poorer cognition (β-coefficients -0.31 for total NTB score, -0.25 for executive functioning, -0.33 for processing speed, and -0.20 for memory, all p < 0.001). Higher CAIDE Dementia Risk Score including APOE genotype was additionally related to more pronounced MTA (OR 1.15, 95% CI 1.00-1.30). No associations were found with periventricular WML or amyloid accumulation.Conclusions: The CAIDE Dementia Risk Score was related to indicators of cerebrovascular changes and neurodegeneration on MRI, and cognition. The lack of association with brain amyloid accumulation needs to be verified in studies with larger sample sizes. [ABSTRACT FROM AUTHOR]

Published
2017
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9. Disease State Fingerprint in Frontotemporal Degeneration with Reference to Alzheimer's Disease and Mild Cognitive Impairment

Author

Muñoz-Ruiz, Miguel Ángel, primary, Hartikainen, Päivi, additional, Hall, Anette, additional, Mattila, Jussi, additional, Koikkalainen, Juha, additional, Herukka, Sanna-Kaisa, additional, Julkunen, Valtteri, additional, Vanninen, Ritva, additional, Liu, Yawu, additional, Lötjönen, Jyrki, additional, and Soininen, Hilkka, additional

Published
2013
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10. Effect of APOE ε4 allele on cortical thicknesses and volumes: the AddNeuroMed study.

Author

Liu Y, Paajanen T, Westman E, Wahlund LO, Simmons A, Tunnard C, Sobow T, Proitsi P, Powell J, Mecocci P, Tsolaki M, Vellas B, Muehlboeck S, Evans A, Spenger C, Lovestone S, and Soininen H

Subjects
Aged, Aged, 80 and over, Alleles, Alzheimer Disease pathology, Amygdala pathology, Cognition Disorders pathology, Female, Gene Frequency, Genotype, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Organ Size, Risk Factors, Sex Factors, Alzheimer Disease genetics, Apolipoprotein E4 genetics, Cerebral Cortex pathology, Cognition Disorders genetics
Abstract

The apolipoprotein E (APOE) ε4 allele is a risk factor for Alzheimer's disease (AD), but its effect on brain volumes is controversial. We explored the effect of the ε4 allele on regional cortical thickness and volume measurements using an automated pipeline in 111 subjects with mild cognitive impairment (MCI), 115 AD patients, and 107 age-matched healthy controls. The clinical data were used as covariates in the thickness and volume comparisons. The ε4 carriers had significantly smaller volume than non-carriers in caudate (p=0.028) in controls; in amygdala and caudate in the MCI group (p

Published
2010
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