Penke, Lars

[["dc.bibliographiccitation.firstpage","510"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Neurobiology of Aging"],["dc.bibliographiccitation.lastpage","517"],["dc.bibliographiccitation.volume","33"],["dc.contributor.author","Penke, Lars"],["dc.contributor.author","Valdes Hernandez, Maria C."],["dc.contributor.author","Maniega, Susana Muñoz"],["dc.contributor.author","Gow, Alan J."],["dc.contributor.author","Murray, Catherine"],["dc.contributor.author","Starr, John M."],["dc.contributor.author","Bastin, Mark E."],["dc.contributor.author","Deary, Ian J."],["dc.contributor.author","Wardlaw, Joanna"],["dc.date.accessioned","2017-09-07T11:51:40Z"],["dc.date.available","2017-09-07T11:51:40Z"],["dc.date.issued","2010"],["dc.description.abstract","A novel analysis of magnetic resonance imaging (MRI) scans based on multispectral image fusion was used to quantify iron deposits in basal ganglia and microbleeds in 143 nondemented subjects of the generally healthy Lothian Birth Cohort, who were tested for general cognitive ability (intelligence) at mean ages of 11, 70, and 72 years. Possessing more iron deposits at age 72 was significantly associated with lower general cognitive ability at age 11, 70, and 72, explaining 4% to 9% of the variance. The relationships with old age general cognitive ability remained significant after controlling for childhood cognition, suggesting that iron deposits are related to lifetime cognitive decline. Most iron deposits were in the basal ganglia, with few microbleeds. While iron deposits in the general population have so far been dismissed in the literature, our results show substantial associations with cognitive functioning. The pattern of results suggests that iron deposits are not only a biomarker of general cognitive ability in old age and age-related cognitive decline, but that they are also related to the lifelong-stable trait of intelligence."],["dc.identifier.doi","10.1016/j.neurobiolaging.2010.04.032"],["dc.identifier.gro","3151099"],["dc.identifier.pmid","20542597"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/7866"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.relation.issn","0197-4580"],["dc.title","Brain iron deposits are associated with general cognitive ability and cognitive aging"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","23"],["dc.bibliographiccitation.journal","Journal of Psychophysiology"],["dc.bibliographiccitation.lastpage","23"],["dc.bibliographiccitation.volume","25"],["dc.contributor.author","Penke, Lars"],["dc.contributor.author","Maniega, Munoz S."],["dc.contributor.author","Bastin, M. E."],["dc.contributor.author","Gow, Alan J."],["dc.contributor.author","Murray, C."],["dc.contributor.author","Wardlaw, Joanna"],["dc.contributor.author","Deary, I. J."],["dc.date.accessioned","2018-03-15T14:17:30Z"],["dc.date.available","2018-03-15T14:17:30Z"],["dc.date.issued","2011"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/13029"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.title","Brain White Matter Integrity and Lifetime Cognitive Aging"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","49"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Personality and Individual Differences"],["dc.bibliographiccitation.lastpage","52"],["dc.bibliographiccitation.volume","50"],["dc.contributor.author","Hope, David"],["dc.contributor.author","Bates, Timothy C."],["dc.contributor.author","Penke, Lars"],["dc.contributor.author","Gow, Alan J."],["dc.contributor.author","Starr, John M."],["dc.contributor.author","Deary, Ian J."],["dc.date.accessioned","2017-09-07T11:52:04Z"],["dc.date.available","2017-09-07T11:52:04Z"],["dc.date.issued","2010"],["dc.description.abstract","The relationship between Fluctuating Asymmetry (FA) and personality can cast light on the fitness consequences and selective benefits underlying personality. However few studies have investigated the topic and these have rendered inconsistent findings. Theoretically predicted relationships of FA to personality include linear associations and curvilinear associations (with low FA leading to average—not extreme—personality trait levels). Evidence for no association would suggest that personality has no consequences for general fitness. We summarise the findings to date, adding two new studies, testing each of the hypothesised models with well-validated measures of FA, and personality traits. No consistent associations were found. Though it remains possible that low FA is weakly related to conscientiousness and openness to experience, the major personality domains seem unrelated to FA."],["dc.identifier.doi","10.1016/j.paid.2010.08.020"],["dc.identifier.gro","3151133"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/7904"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.relation.issn","0191-8869"],["dc.title","Fluctuating Asymmetry and personality"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","701"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Neuropsychology"],["dc.bibliographiccitation.lastpage","701"],["dc.bibliographiccitation.volume","27"],["dc.contributor.author","Booth, Tom"],["dc.contributor.author","Bastin, Mark E."],["dc.contributor.author","Penke, Lars"],["dc.contributor.author","Maniega, Susana Muñoz"],["dc.contributor.author","Murray, Catherine"],["dc.contributor.author","Royal, Natalie A."],["dc.contributor.author","Gow, Alan J."],["dc.contributor.author","Corley, Janie"],["dc.contributor.author","Henderson, Ross D."],["dc.contributor.author","Valdés Hernández, Maria C."],["dc.contributor.author","Starr, John M."],["dc.contributor.author","Wardlaw, Joanna M."],["dc.contributor.author","Deary, Ian J."],["dc.date.accessioned","2018-03-14T16:44:34Z"],["dc.date.available","2018-03-14T16:44:34Z"],["dc.date.issued","2013"],["dc.identifier.doi","10.1037/neu0000041"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/13028"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.title","“Brain white matter tract integrity and cognitive abilities in community-dwelling older people: The Lothian Birth Cohort, 1936”: Correction to Booth et al. (2013)"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","712"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Age and Ageing"],["dc.bibliographiccitation.lastpage","716"],["dc.bibliographiccitation.volume","43"],["dc.contributor.author","Aribisala, Benjamin S."],["dc.contributor.author","Royle, Natalie A."],["dc.contributor.author","Valdes Hernandez, Maria C."],["dc.contributor.author","Murray, Catherine"],["dc.contributor.author","Penke, Lars"],["dc.contributor.author","Gow, Alan J."],["dc.contributor.author","Maniega, Susana Muñoz"],["dc.contributor.author","Starr, John M."],["dc.contributor.author","Bastin, Mark E."],["dc.contributor.author","Deary, Ian J."],["dc.contributor.author","Wardlaw, Joanna M."],["dc.date.accessioned","2017-09-07T11:51:40Z"],["dc.date.available","2017-09-07T11:51:40Z"],["dc.date.issued","2014"],["dc.description.abstract","BACKGROUND:intracranial volume (ICV) is commonly used as a marker of premorbid brain size in neuroimaging studies as it is thought to remain fixed throughout adulthood. However, inner skull table thickening would encroach on ICV and could mask actual brain atrophy.OBJECTIVE:we investigated the effect that thickening might have on the associations between brain atrophy and cognition.METHODS:the sample comprised 57 non-demented older adults who underwent structural brain MRI at mean age 72.7 ± 0.7 years and were assessed on cognitive ability at mean age 11 and 73 years. Principal component analysis was used to derive factors of general cognitive ability (g), information processing speed and memory from the recorded cognitive ability data. The total brain tissue volume and ICV with (estimated original ICV) and without (current ICV) adjusting for the effects of inner table skull thickening were measured. General linear modelling was used to test for associations.RESULTS:all cognitive ability variables were significantly (P < 0.01) associated with percentage total brain volume in ICV measured without adjusting for skull thickening (g: η(2) = 0.177, speed: η(2) = 0.264 and memory: η(2) = 0.132). After accounting for skull thickening, only speed was significantly associated with percentage total brain volume in ICV (η(2) = 0.085, P = 0.034), not g or memory.CONCLUSIONS:not accounting for skull thickening when computing ICV can distort the association between brain atrophy and cognitive ability in old age. Larger samples are required to determine the true effect."],["dc.identifier.doi","10.1093/ageing/afu070"],["dc.identifier.gro","3151088"],["dc.identifier.pmid","24936580"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/7854"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.relation.issn","0002-0729"],["dc.title","Potential effect of skull thickening on the associations between cognition and brain atrophy in ageing"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","135"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","British Medical Bulletin"],["dc.bibliographiccitation.lastpage","152"],["dc.bibliographiccitation.volume","92"],["dc.contributor.author","Deary, Ian J."],["dc.contributor.author","Corley, Janie"],["dc.contributor.author","Gow, Alan J."],["dc.contributor.author","Harris, Sarah E."],["dc.contributor.author","Lopez, Lorna Margaret"],["dc.contributor.author","Marioni, Riccardo E."],["dc.contributor.author","Penke, Lars"],["dc.contributor.author","Rafnsson, Snorri B."],["dc.contributor.author","Starr, John M."],["dc.date.accessioned","2017-09-07T11:52:04Z"],["dc.date.available","2017-09-07T11:52:04Z"],["dc.date.issued","2009"],["dc.description.abstract","IntroductionAge-associated cognitive decline—or normal (non-pathological, normative, usual) cognitive ageing—is an important human experience which differs in extent between individuals. The determinants of the differences in age-related cognitive decline are not fully understood. Progress in the field is taking place across many areas of biomedical and psychosocial sciences.Areas of agreement and controversyThe phenotype of normal cognitive ageing is well described. Some mental capabilities are well maintained into old age. From early adulthood, there are declines in mental domains such as processing speed, reasoning, memory and executive functions, some of which is underpinned by a decline in a general cognitive factor. There are contributions to understanding individual differences in normal cognitive ageing from genetics, general health and medical disorders such as atherosclerotic disease, biological processes such as inflammation, neurobiological changes, diet and lifestyle. Many of these effect sizes are small; some are poorly replicated; and in some cases, there is the possibility of reverse causation, with prior cognitive ability causing the supposed ‘cause’ of cognitive ability in old age.Emerging areas for developing researchGenome-wide scans are a likely source to establish genetic contributions. The role of vascular factors in cognitive ageing is increasingly studied and understood. The same applies to diet, biomarkers such as inflammation and lifestyle factors such as exercise. There are marked advances in brain imaging, affording better in vivo studies of brain correlates of cognitive changes. There is growing appreciation that factors affecting general bodily ageing also influence cognitive functions in old age."],["dc.identifier.doi","10.1093/bmb/ldp033"],["dc.identifier.gro","3151138"],["dc.identifier.pmid","19776035"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/7910"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.relation.issn","0007-1420"],["dc.title","Age-associated cognitive decline"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","2726"],["dc.bibliographiccitation.issue","12"],["dc.bibliographiccitation.journal","Neurobiology of Aging"],["dc.bibliographiccitation.lastpage","2733"],["dc.bibliographiccitation.volume","34"],["dc.contributor.author","Royle, Natalie A."],["dc.contributor.author","Booth, Tom"],["dc.contributor.author","Valdes Hernandez, Maria C."],["dc.contributor.author","Penke, Lars"],["dc.contributor.author","Murray, Catherine"],["dc.contributor.author","Gow, Alan J."],["dc.contributor.author","Maniega, Susana Muñoz"],["dc.contributor.author","Starr, John M."],["dc.contributor.author","Bastin, Mark E."],["dc.contributor.author","Deary, Ian J."],["dc.contributor.author","Wardlaw, Joanna M."],["dc.date.accessioned","2017-09-07T11:52:04Z"],["dc.date.available","2017-09-07T11:52:04Z"],["dc.date.issued","2013"],["dc.description.abstract","Brain tissue deterioration is a significant contributor to lower cognitive ability in later life; however, few studies have appropriate data to establish how much influence prior brain volume and prior cognitive performance have on this association. We investigated the associations between structural brain imaging biomarkers, including an estimate of maximal brain volume, and detailed measures of cognitive ability at age 73 years in a large (N = 620), generally healthy, community-dwelling population. Cognitive ability data were available from age 11 years. We found positive associations (r) between general cognitive ability and estimated brain volume in youth (male, 0.28; females, 0.12), and in measured brain volume in later life (males, 0.27; females, 0.26). Our findings show that cognitive ability in youth is a strong predictor of estimated prior and measured current brain volume in old age but that these effects were the same for both white and gray matter. As 1 of the largest studies of associations between brain volume and cognitive ability with normal aging, this work contributes to the wider understanding of how some early-life factors influence cognitive aging."],["dc.identifier.doi","10.1016/j.neurobiolaging.2013.05.015"],["dc.identifier.gro","3151132"],["dc.identifier.pmid","23850342"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/7903"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.relation.issn","0197-4580"],["dc.title","Estimated maximal and current brain volume predict cognitive ability in old age"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","34"],["dc.bibliographiccitation.journal","Cortex"],["dc.bibliographiccitation.lastpage","44"],["dc.bibliographiccitation.volume","53"],["dc.contributor.author","Aribisala, Benjamin S."],["dc.contributor.author","Royle, Natalie A."],["dc.contributor.author","Maniega, Susana Muñoz"],["dc.contributor.author","Valdes Hernandez, Maria C."],["dc.contributor.author","Murray, Catherine"],["dc.contributor.author","Penke, Lars"],["dc.contributor.author","Gow, Alan J."],["dc.contributor.author","Starr, John M."],["dc.contributor.author","Bastin, Mark E."],["dc.contributor.author","Deary, Ian J."],["dc.contributor.author","Wardlaw, Joanna"],["dc.date.accessioned","2017-09-07T11:51:40Z"],["dc.date.available","2017-09-07T11:51:40Z"],["dc.date.issued","2014"],["dc.description.abstract","Hippocampal structural integrity is commonly quantified using volumetric measurements derived from brain magnetic resonance imaging (MRI). Previously reported associations with cognitive decline have not been consistent. We investigate hippocampal integrity using quantitative MRI techniques and its association with cognitive abilities in older age.Participants from the Lothian Birth Cohort 1936 underwent brain MRI at mean age 73 years. Longitudinal relaxation time (T1), magnetization transfer ratio (MTR), fractional anisotropy (FA) and mean diffusivity (MD) were measured in the hippocampus. General factors of fluid-type intelligence (g), cognitive processing speed (speed) and memory were obtained at age 73 years, as well as childhood IQ test results at age 11 years. Amongst 565 older adults, multivariate linear regression showed that, after correcting for ICV, gender and age 11 IQ, larger left hippocampal volume was significantly associated with better memory ability (β = .11, p = .003), but not with speed or g. Using quantitative MRI and after correcting for multiple testing, higher T1 and MD were significantly associated with lower scores of g (β range = −.11 to −.14, p < .001), speed (β range = −.15 to −.20, p < .001) and memory (β range = −.10 to −.12, p < .001). Higher MTR and FA in the hippocampus were also significantly associated with higher scores of g (β range = .17 to .18, p < .0001) and speed (β range = .10 to .15, p < .0001), but not memory.Quantitative multi-modal MRI assessments were more sensitive at detecting cognition-hippocampal integrity associations than volumetric measurements, resulting in stronger associations between MRI biomarkers and age-related cognition changes."],["dc.identifier.doi","10.1016/j.cortex.2013.12.012"],["dc.identifier.gro","3151092"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/7858"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.relation.issn","0010-9452"],["dc.title","Quantitative multi-modal MRI of the Hippocampus and cognitive ability in community-dwelling older subjects"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","560"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Psychosomatic Medicine"],["dc.bibliographiccitation.lastpage","566"],["dc.bibliographiccitation.volume","74"],["dc.contributor.author","Dykiert, Dominika"],["dc.contributor.author","Bates, Timothy C."],["dc.contributor.author","Gow, Alan J."],["dc.contributor.author","Penke, Lars"],["dc.contributor.author","Starr, John M."],["dc.contributor.author","Deary, Ian J."],["dc.date.accessioned","2017-09-07T11:52:03Z"],["dc.date.available","2017-09-07T11:52:03Z"],["dc.date.issued","2012"],["dc.description.abstract","OBJECTIVE:To investigate whether and to what extent mortality is predictable from facial photographs of older people.METHODS:High-quality facial photographs of 292 members of the Lothian Birth Cohort 1921, taken at the age of about 83 years, were rated in terms of apparent age, health, attractiveness, facial symmetry, intelligence, and well-being by 12 young-adult raters. Cox proportional hazards regression was used to study associations between these ratings and mortality during a 7-year follow-up period.RESULTS:All ratings had adequate reliability. Concurrent validity was found for facial symmetry and intelligence (as determined by correlations with actual measures of fluctuating asymmetry in the faces and Raven Standard Progressive Matrices score, respectively), but not for the other traits. Age as rated from facial photographs, adjusted for sex and chronological age, was a significant predictor of mortality (hazard ratio = 1.36, 95% confidence interval = 1.12-1.65) and remained significant even after controlling for concurrent, objectively measured health and cognitive ability, and the other ratings. Health as rated from facial photographs, adjusted for sex and chronological age, significantly predicted mortality (hazard ratio = 0.81, 95% confidence interval = 0.67-0.99) but not after adjusting for rated age or objectively measured health and cognition. Rated attractiveness, symmetry, intelligence, and well-being were not significantly associated with mortality risk.CONCLUSIONS:Rated age of the face is a significant predictor of mortality risk among older people, with predictive value over and above that of objective or rated health status and cognitive ability."],["dc.identifier.doi","10.1097/psy.0b013e318259c33f"],["dc.identifier.gro","3151128"],["dc.identifier.pmid","22753633"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/7899"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.relation.issn","0033-3174"],["dc.subject","rated age; perceived age; face rating; mortality; survival"],["dc.title","Predicting Mortality From Human Faces"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","642"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Neuropsychology"],["dc.bibliographiccitation.lastpage","657"],["dc.bibliographiccitation.volume","33"],["dc.contributor.author","Booth, Tom"],["dc.contributor.author","Dykiert, Dominika"],["dc.contributor.author","Corley, Janie"],["dc.contributor.author","Gow, Alan J."],["dc.contributor.author","Morris, Zoe"],["dc.contributor.author","Muñoz Maniega, Susana"],["dc.contributor.author","Royle, Natalie A."],["dc.contributor.author","del C. Valdés Hernández, Maria"],["dc.contributor.author","Starr, John M."],["dc.contributor.author","Penke, Lars"],["dc.contributor.author","Bastin, Mark E."],["dc.contributor.author","Wardlaw, Joanna M."],["dc.contributor.author","Deary, Ian J."],["dc.date.accessioned","2020-12-10T18:09:25Z"],["dc.date.available","2020-12-10T18:09:25Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1037/neu0000483"],["dc.identifier.eissn","1931-1559"],["dc.identifier.issn","0894-4105"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/73648"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Reaction time variability and brain white matter integrity."],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]