Studying variability in human brain aging in a population-based German cohort—rationale and design of 1000BRAINS
The ongoing 1000 brains study (1000BRAINS) is an epidemiological and neuroscientific investigation of structural and functional variability in the human brain during aging. The two recruitment sources are the 10-year follow-up cohort of the German Heinz Nixdorf Recall (HNR) Study, and the HNR MultiG...
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pubmed-40949122014-07-28 Studying variability in human brain aging in a population-based German cohort—rationale and design of 1000BRAINS Caspers, Svenja Moebus, Susanne Lux, Silke Pundt, Noreen Schütz, Holger Mühleisen, Thomas W. Gras, Vincent Eickhoff, Simon B. Romanzetti, Sandro Stöcker, Tony Stirnberg, Rüdiger Kirlangic, Mehmet E. Minnerop, Martina Pieperhoff, Peter Mödder, Ulrich Das, Samir Evans, Alan C. Jöckel, Karl-Heinz Erbel, Raimund Cichon, Sven Nöthen, Markus M. Sturma, Dieter Bauer, Andreas Jon Shah, N. Zilles, Karl Amunts, Katrin Neuroscience The ongoing 1000 brains study (1000BRAINS) is an epidemiological and neuroscientific investigation of structural and functional variability in the human brain during aging. The two recruitment sources are the 10-year follow-up cohort of the German Heinz Nixdorf Recall (HNR) Study, and the HNR MultiGeneration Study cohort, which comprises spouses and offspring of HNR subjects. The HNR is a longitudinal epidemiological investigation of cardiovascular risk factors, with a comprehensive collection of clinical, laboratory, socioeconomic, and environmental data from population-based subjects aged 45–75 years on inclusion. HNR subjects underwent detailed assessments in 2000, 2006, and 2011, and completed annual postal questionnaires on health status. 1000BRAINS accesses these HNR data and applies a separate protocol comprising: neuropsychological tests of attention, memory, executive functions and language; examination of motor skills; ratings of personality, life quality, mood and daily activities; analysis of laboratory and genetic data; and state-of-the-art magnetic resonance imaging (MRI, 3 Tesla) of the brain. The latter includes (i) 3D-T1- and 3D-T2-weighted scans for structural analyses and myelin mapping; (ii) three diffusion imaging sequences optimized for diffusion tensor imaging, high-angular resolution diffusion imaging for detailed fiber tracking and for diffusion kurtosis imaging; (iii) resting-state and task-based functional MRI; and (iv) fluid-attenuated inversion recovery and MR angiography for the detection of vascular lesions and the mapping of white matter lesions. The unique design of 1000BRAINS allows: (i) comprehensive investigation of various influences including genetics, environment and health status on variability in brain structure and function during aging; and (ii) identification of the impact of selected influencing factors on specific cognitive subsystems and their anatomical correlates. Frontiers Media S.A. 2014-07-14 /pmc/articles/PMC4094912/ /pubmed/25071558 http://dx.doi.org/10.3389/fnagi.2014.00149 Text en Copyright © 2014 Caspers, Moebus, Lux, Pundt, Schütz, Mühleisen, Gras, Eickhoff, Romanzetti, Stöcker, Stirnberg, Kirlangic, Minnerop, Pieperhoff, Mödder, Das, Evans, Jöckel, Erbel, Cichon, Nöthen, Sturma, Bauer, Jon Shah, Zilles and Amunts. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
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US National Center for Biotechnology Information |
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collection |
Online Access |
language |
English |
format |
Online |
author |
Caspers, Svenja Moebus, Susanne Lux, Silke Pundt, Noreen Schütz, Holger Mühleisen, Thomas W. Gras, Vincent Eickhoff, Simon B. Romanzetti, Sandro Stöcker, Tony Stirnberg, Rüdiger Kirlangic, Mehmet E. Minnerop, Martina Pieperhoff, Peter Mödder, Ulrich Das, Samir Evans, Alan C. Jöckel, Karl-Heinz Erbel, Raimund Cichon, Sven Nöthen, Markus M. Sturma, Dieter Bauer, Andreas Jon Shah, N. Zilles, Karl Amunts, Katrin |
spellingShingle |
Caspers, Svenja Moebus, Susanne Lux, Silke Pundt, Noreen Schütz, Holger Mühleisen, Thomas W. Gras, Vincent Eickhoff, Simon B. Romanzetti, Sandro Stöcker, Tony Stirnberg, Rüdiger Kirlangic, Mehmet E. Minnerop, Martina Pieperhoff, Peter Mödder, Ulrich Das, Samir Evans, Alan C. Jöckel, Karl-Heinz Erbel, Raimund Cichon, Sven Nöthen, Markus M. Sturma, Dieter Bauer, Andreas Jon Shah, N. Zilles, Karl Amunts, Katrin Studying variability in human brain aging in a population-based German cohort—rationale and design of 1000BRAINS |
author_facet |
Caspers, Svenja Moebus, Susanne Lux, Silke Pundt, Noreen Schütz, Holger Mühleisen, Thomas W. Gras, Vincent Eickhoff, Simon B. Romanzetti, Sandro Stöcker, Tony Stirnberg, Rüdiger Kirlangic, Mehmet E. Minnerop, Martina Pieperhoff, Peter Mödder, Ulrich Das, Samir Evans, Alan C. Jöckel, Karl-Heinz Erbel, Raimund Cichon, Sven Nöthen, Markus M. Sturma, Dieter Bauer, Andreas Jon Shah, N. Zilles, Karl Amunts, Katrin |
author_sort |
Caspers, Svenja |
title |
Studying variability in human brain aging in a population-based German cohort—rationale and design of 1000BRAINS |
title_short |
Studying variability in human brain aging in a population-based German cohort—rationale and design of 1000BRAINS |
title_full |
Studying variability in human brain aging in a population-based German cohort—rationale and design of 1000BRAINS |
title_fullStr |
Studying variability in human brain aging in a population-based German cohort—rationale and design of 1000BRAINS |
title_full_unstemmed |
Studying variability in human brain aging in a population-based German cohort—rationale and design of 1000BRAINS |
title_sort |
studying variability in human brain aging in a population-based german cohort—rationale and design of 1000brains |
description |
The ongoing 1000 brains study (1000BRAINS) is an epidemiological and neuroscientific investigation of structural and functional variability in the human brain during aging. The two recruitment sources are the 10-year follow-up cohort of the German Heinz Nixdorf Recall (HNR) Study, and the HNR MultiGeneration Study cohort, which comprises spouses and offspring of HNR subjects. The HNR is a longitudinal epidemiological investigation of cardiovascular risk factors, with a comprehensive collection of clinical, laboratory, socioeconomic, and environmental data from population-based subjects aged 45–75 years on inclusion. HNR subjects underwent detailed assessments in 2000, 2006, and 2011, and completed annual postal questionnaires on health status. 1000BRAINS accesses these HNR data and applies a separate protocol comprising: neuropsychological tests of attention, memory, executive functions and language; examination of motor skills; ratings of personality, life quality, mood and daily activities; analysis of laboratory and genetic data; and state-of-the-art magnetic resonance imaging (MRI, 3 Tesla) of the brain. The latter includes (i) 3D-T1- and 3D-T2-weighted scans for structural analyses and myelin mapping; (ii) three diffusion imaging sequences optimized for diffusion tensor imaging, high-angular resolution diffusion imaging for detailed fiber tracking and for diffusion kurtosis imaging; (iii) resting-state and task-based functional MRI; and (iv) fluid-attenuated inversion recovery and MR angiography for the detection of vascular lesions and the mapping of white matter lesions. The unique design of 1000BRAINS allows: (i) comprehensive investigation of various influences including genetics, environment and health status on variability in brain structure and function during aging; and (ii) identification of the impact of selected influencing factors on specific cognitive subsystems and their anatomical correlates. |
publisher |
Frontiers Media S.A. |
publishDate |
2014 |
url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4094912/ |
_version_ |
1613112731534098432 |