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      Basal forebrain cholinergic system volume is associated with general cognitive ability in the elderly

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          Abstract

          Objective:

          At the present, it is unclear whether association of basal forebrain

          cholinergic system (BFCS) volume with cognitive performance exists in healthy as well as in cognitively impaired elderly subjects. Whereas one small study reported an association of BFCS volume with general cognitive ability ‘g’ in healthy ageing, effects on specific cognitive domains have only been found in subjects with cognitive decline. Here we aim to clarify whether an association of BFCS volume and ‘g’ is present in a larger sample of elderly subjects without obvious symptoms of dementia and whether similar associations can also be observed in specific cognitive domains.

          Methods:

          282 pre-surgical patients from the BioCog study (aged 72.7 ± 4.9 years with a range of 65–87 years, 110 women) with a median MMSE score of 29 points (range 24–30) were investigated. BFCS and brain volume as well as brain parenchymal fraction were assessed in T1-weighted MR images using SPM12 and a probabilistic map of the BFCS. Neuropsychological assessment comprised the CANTAB cognitive battery and paper-and-pencil based tests. For data analysis, generalised linear models and quantile regression were applied.

          Results:

          Significant associations of BFCS volume with ‘g’ and several cognitive domains were found, with the strongest association found for ‘g’. BFCS volume explained less variance in cognitive performance than brain volume. The association was not confounded by brain parenchymal fraction. Furthermore, the association of BFCS volume and ‘g’ was similar in high- and low-performers.

          Conclusion:

          Our results extend previous study findings on BFCS volume associations with cognition in elderly subjects. Despite the observed associations of BFCS volume and cognitive performance, this association seems to reflect a more general association of brain volume and cognition. Accordingly, a specific association of BFCS volume and cognition in non-demented elderly subjects is questionable.

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          Most cited references42

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          A gentle introduction to quantile regression for ecologists

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            The neuroscience of human intelligence differences.

            Neuroscience is contributing to an understanding of the biological bases of human intelligence differences. This work is principally being conducted along two empirical fronts: genetics--quantitative and molecular--and brain imaging. Quantitative genetic studies have established that there are additive genetic contributions to different aspects of cognitive ability--especially general intelligence--and how they change through the lifespan. Molecular genetic studies have yet to identify reliably reproducible contributions from individual genes. Structural and functional brain-imaging studies have identified differences in brain pathways, especially parieto-frontal pathways, that contribute to intelligence differences. There is also evidence that brain efficiency correlates positively with intelligence.
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              Cholinergic innervation of cortex by the basal forebrain: cytochemistry and cortical connections of the septal area, diagonal band nuclei, nucleus basalis (substantia innominata), and hypothalamus in the rhesus monkey.

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                Author and article information

                Journal
                0020713
                6083
                Neuropsychologia
                Neuropsychologia
                Neuropsychologia
                0028-3932
                1873-3514
                11 December 2018
                07 August 2018
                October 2018
                18 January 2019
                : 119
                : 145-156
                Affiliations
                [a ]Department of Anaesthesiology, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Augustenburger Platz 1, 13353 Berlin, Germany
                [b ]Pharmaimage Biomarker Solutions GmbH, Robert-Rössle-Straße 10, 13125 Berlin, Germany
                [c ]Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Robert-Rössle-Straße 10, 13125 Berlin, Germany
                [d ]Department of Radiology and Brain Center Rudolf Magnus, University Medical Centre Utrecht, Utrecht University Heidelberglaan 100, 3584 CX Utrecht, Netherlands
                [e ]Department of Intensive Care Medicine and Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University Heidelberglaan 100, 3584 CX Utrecht, Netherlands
                [f ]Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Germany
                [g ]MDC/BIH Biobank, Max-Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), and Berlin Institute of Health (BIH), Berlin, Germany
                [h ]Center for Molecular and Behavioral Neuroscience, Rutgers The State University of New Jersey, 197 University Avenue, Newark, NJ 07102, USA
                Author notes
                [* ]Correspondence to: Lindenberger Weg 80, 13125 Berlin, Germany. florian.lammers@ 123456charite.de (F. Lammers).
                Article
                NIHMS1000559
                10.1016/j.neuropsychologia.2018.08.005
                6338214
                30096414
                29e5d9ff-e6fb-4b5b-9965-fe5786014c46

                This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/BY-NC-ND/4.0/).

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                Neurology
                Neurology

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