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  • 1
    In: Alzheimer's & Dementia, Wiley, Vol. 18, No. S11 ( 2022-12)
    Abstract: Cerebral small vessel disease (cSVD) is a leading cause of vascular cognitive impairment and dementia. Mounting evidence suggests that early life factors contribute to cSVD. Genetic risk loci for white matter hyperintensities (WMH), the most common MRI‐marker of cSVD in older age, were recently found to show strong associations with white matter microstructure on diffusion tensor imaging (DTI) already in young adults in their twenties. Here we aimed to use multi‐shell diffusion imaging to further explore genetic determinants of white matter microstructure across the adult lifespan and its relation with cSVD. Method In 1,758 participants (mean age: 22.1 [18 to 35] years) from the i‐Share student cohort who underwent multi‐shell diffusion imaging, we used neurite orientation dispersion and density imaging (NODDI) to generate tissue‐based markers of white matter microstructure including neurite density index (NDI), orientation dispersion index (ODI), and isotropic volume fraction (ISOVF) in 28 brain regions. We ran genome‐wide association studies (GWAS) of all 84 NODDI markers in i‐Share and looked up genome‐wide significant variants in UK Biobank (N = 33,224, mean age: 64.3 [45 to 82] years) to identify loci with a lifecourse effect on these phenotypes. Next, we studied the association of genetically determined WMH volume and blood pressure with NODDI phenotypes in i‐Share using Mendelian randomization (MR). Result This first GWAS of 84 NODDI phenotypes in young adults identified 21 genome‐wide significant loci. Three of them, associated mostly with NDI, also showed significant association with NODDI phenotypes in middle‐aged to older UK Biobank participants, including a known WMH locus near VCAN , a cerebrovascular matrisome gene. Using MR we found that genetically determined WMH, previously shown to predict Alzheimer‐type dementia, was associated with lower NDI in young adults. In contrast, genetically determined blood pressure, although an important risk factor for WMH volume, did not show any significant association with NODDI phenotypes in young adults. Conclusion Our results suggest that NODDI markers, especially NDI, have a substantial genetic component already in early adulthood and may inform early mechanisms underlying the vascular contribution to dementia. Replication of these findings in additional CHARGE cohorts (Rhineland study, Framingham Heart study) is underway.
    Type of Medium: Online Resource
    ISSN: 1552-5260 , 1552-5279
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2201940-6
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  • 2
    In: Alzheimer's & Dementia, Wiley, Vol. 19, No. S8 ( 2023-06)
    Abstract: Environmental factors, such as nutrition, influence brain physiology and health throughout the life course. While research has focused on the extremes of the age spectrum, less is known about early adulthood, yet a critical period for the consolidation of brain maturation and the building of adult behaviors. Nutrition may impact late maturational changes in the post‐adolescent brain and contribute to the degree of brain reserve that minimizes the risk to develop dementia. We took advantage of a large sample of young adults to evaluate the association of dietary behavior with brain structure characteristics. Method This cross‐sectional study included 1721 university students (18‐35 years‐old) from the French i‐Share cohort, who underwent brain MRI. A 12‐item online Food Frequency Questionnaire was used to evaluate consumption in major food groups and to determine dietary patterns from Principal Component Analysis (PCA). Multivariable‐adjusted linear regressions were used to estimate the association of PCA scores with brain structure (cortical thickness and surface area, grey matter and white matter volumes, diffusion parameters). Result The first PCA component (explained variance, 17%) contrasted a healthy diet (higher fruit and vegetable intakes) to a poor diet (higher fast food, sugary drink and snack consumptions). In models adjusted for total intracranial volume, age, sex, physical activity, body mass index, alcohol and tobacco consumptions, a higher PCA score (reflecting healthier diet) was associated with lower total gray matter volume (β for 1 point score = –0.17 [95%CI, –0.31; –0.03] cm 3 ), in various brain areas ( Figure ). Healthy diet was also associated with lower global white matter volume (β = –0.18 [–0.32; –0.03] cm 3 ). No association was found with diffusion tensor imaging, and neurite orientation dispersion and density imaging metrics in the white matter. Conclusion In this large sample of young adults, healthier diet was associated with lower brain volumes, independent of multiple potential confounders. Gray matter volume loss during post‐adolescence is a marker of brain maturation; thus, environmental factors emphasizing this loss may benefit maturation. Our results raise the hypothesis that a healthy diet may favor and a poor diet may hamper brain maturation; an assumption which deserves further investigation in other populations.
    Type of Medium: Online Resource
    ISSN: 1552-5260 , 1552-5279
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 2201940-6
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  • 3
    In: Nature, Springer Science and Business Media LLC, Vol. 621, No. 7977 ( 2023-09-07), p. E7-E26
    Type of Medium: Online Resource
    ISSN: 0028-0836 , 1476-4687
    RVK:
    RVK:
    RVK:
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 120714-3
    detail.hit.zdb_id: 1413423-8
    SSG: 11
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  • 4
    In: Nature Medicine, Springer Science and Business Media LLC, Vol. 29, No. 4 ( 2023-04), p. 950-962
    Abstract: Perivascular space (PVS) burden is an emerging, poorly understood, magnetic resonance imaging marker of cerebral small vessel disease, a leading cause of stroke and dementia. Genome-wide association studies in up to 40,095 participants (18 population-based cohorts, 66.3 ± 8.6 yr, 96.9% European ancestry) revealed 24 genome-wide significant PVS risk loci, mainly in the white matter. These were associated with white matter PVS already in young adults ( N  = 1,748; 22.1 ± 2.3 yr) and were enriched in early-onset leukodystrophy genes and genes expressed in fetal brain endothelial cells, suggesting early-life mechanisms. In total, 53% of white matter PVS risk loci showed nominally significant associations (27% after multiple-testing correction) in a Japanese population-based cohort ( N  = 2,862; 68.3 ± 5.3 yr). Mendelian randomization supported causal associations of high blood pressure with basal ganglia and hippocampal PVS, and of basal ganglia PVS and hippocampal PVS with stroke, accounting for blood pressure. Our findings provide insight into the biology of PVS and cerebral small vessel disease, pointing to pathways involving extracellular matrix, membrane transport and developmental processes, and the potential for genetically informed prioritization of drug targets.
    Type of Medium: Online Resource
    ISSN: 1078-8956 , 1546-170X
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 1484517-9
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  • 5
    Online Resource
    Online Resource
    Elsevier BV ; 2013
    In:  Cortex Vol. 49, No. 7 ( 2013-07), p. 1790-1800
    In: Cortex, Elsevier BV, Vol. 49, No. 7 ( 2013-07), p. 1790-1800
    Type of Medium: Online Resource
    ISSN: 0010-9452
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2013
    detail.hit.zdb_id: 2080335-7
    SSG: 12
    SSG: 5,2
    SSG: 5,21
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  • 6
    Online Resource
    Online Resource
    Frontiers Media SA ; 2021
    In:  Frontiers in Systems Neuroscience Vol. 15 ( 2021-8-3)
    In: Frontiers in Systems Neuroscience, Frontiers Media SA, Vol. 15 ( 2021-8-3)
    Abstract: Human brain white matter undergoes a protracted maturation that continues well into adulthood. Recent advances in diffusion-weighted imaging (DWI) methods allow detailed characterizations of the microstructural architecture of white matter, and they are increasingly utilized to study white matter changes during development and aging. However, relatively little is known about the late maturational changes in the microstructural architecture of white matter during post-adolescence. Here we report on regional changes in white matter volume and microstructure in young adults undergoing university-level education. As part of the MRi-Share multi-modal brain MRI database, multi-shell, high angular resolution DWI data were acquired in a unique sample of 1,713 university students aged 18–26. We assessed the age and sex dependence of diffusion metrics derived from diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) in the white matter regions as defined in the John Hopkins University (JHU) white matter labels atlas. We demonstrate that while regional white matter volume is relatively stable over the age range of our sample, the white matter microstructural properties show clear age-related variations. Globally, it is characterized by a robust increase in neurite density index (NDI), and to a lesser extent, orientation dispersion index (ODI). These changes are accompanied by a decrease in diffusivity. In contrast, there is minimal age-related variation in fractional anisotropy. There are regional variations in these microstructural changes: some tracts, most notably cingulum bundles, show a strong age-related increase in NDI coupled with decreases in radial and mean diffusivity, while others, mainly cortico-spinal projection tracts, primarily show an ODI increase and axial diffusivity decrease. These age-related variations are not different between males and females, but males show higher NDI and ODI and lower diffusivity than females across many tracts. These findings emphasize the complexity of changes in white matter structure occurring in this critical period of late maturation in early adulthood.
    Type of Medium: Online Resource
    ISSN: 1662-5137
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
    detail.hit.zdb_id: 2453005-0
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  • 7
    In: Frontiers in Neuroinformatics, Frontiers Media SA, Vol. 15 ( 2021-6-18)
    Abstract: We implemented a deep learning (DL) algorithm for the 3-dimensional segmentation of perivascular spaces (PVSs) in deep white matter (DWM) and basal ganglia (BG). This algorithm is based on an autoencoder and a U-shaped network (U-net), and was trained and tested using T1-weighted magnetic resonance imaging (MRI) data from a large database of 1,832 healthy young adults. An important feature of this approach is the ability to learn from relatively sparse data, which gives the present algorithm a major advantage over other DL algorithms. Here, we trained the algorithm with 40 T1-weighted MRI datasets in which all “visible” PVSs were manually annotated by an experienced operator. After learning, performance was assessed using another set of 10 MRI scans from the same database in which PVSs were also traced by the same operator and were checked by consensus with another experienced operator. The Sorensen-Dice coefficients for PVS voxel detection in DWM (resp. BG) were 0.51 (resp. 0.66), and 0.64 (resp. 0.71) for PVS cluster detection (volume threshold of 0.5 within a range of 0 to 1). Dice values above 0.90 could be reached for detecting PVSs larger than 10 mm 3 and 0.95 for PVSs larger than 15 mm 3 . We then applied the trained algorithm to the rest of the database (1,782 individuals). The individual PVS load provided by the algorithm showed a high agreement with a semi-quantitative visual rating done by an independent expert rater, both for DWM and for BG. Finally, we applied the trained algorithm to an age-matched sample from another MRI database acquired using a different scanner. We obtained a very similar distribution of PVS load, demonstrating the interoperability of this algorithm.
    Type of Medium: Online Resource
    ISSN: 1662-5196
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
    detail.hit.zdb_id: 2452979-5
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  • 8
    Online Resource
    Online Resource
    Society for Neuroscience ; 2011
    In:  The Journal of Neuroscience Vol. 31, No. 42 ( 2011-10-19), p. 15048-15052
    In: The Journal of Neuroscience, Society for Neuroscience, Vol. 31, No. 42 ( 2011-10-19), p. 15048-15052
    Abstract: Adaptive decision making involves selecting the most valuable option, typically by taking an action. Such choices require value comparisons, but there is debate about whether these comparisons occur at the level of stimuli (goods-based) value, action-based value, or both. One view is that value processes occur in series, with stimulus value informing action value. However, lesion work in nonhuman primates suggests that these two kinds of choice are dissociable. Here, we examined action-value and stimulus-value learning in humans with focal frontal lobe damage. Orbitofrontal damage disrupted the ability to sustain the correct choice of stimulus, but not of action, after positive feedback, while damage centered on dorsal anterior cingulate cortex led to the opposite deficit. These findings argue that there are distinct, domain-specific mechanisms by which outcome value is applied to guide subsequent decisions, depending on whether the choice is between stimuli or between actions.
    Type of Medium: Online Resource
    ISSN: 0270-6474 , 1529-2401
    Language: English
    Publisher: Society for Neuroscience
    Publication Date: 2011
    detail.hit.zdb_id: 1475274-8
    SSG: 12
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  • 9
    Online Resource
    Online Resource
    MIT Press ; 2009
    In:  Journal of Cognitive Neuroscience Vol. 21, No. 12 ( 2009-12-01), p. 2263-2275
    In: Journal of Cognitive Neuroscience, MIT Press, Vol. 21, No. 12 ( 2009-12-01), p. 2263-2275
    Abstract: Although prefrontal cortex is clearly important in executive function, the specific processes carried out by particular regions within human prefrontal cortex remain a matter of debate. A rapidly growing corpus of functional imaging work now implicates various areas within prefrontal cortex in a wide range of “executive” tasks. Loss-of-function studies can help constrain the interpretation of such evidence by testing to what extent particular brain areas are necessary for a given cognitive process. Here we apply a component process analysis to understand prefrontal contributions to the n-back task, a widely used test of working memory, in a cohort of patients with focal prefrontal damage. We investigated letter 2-back task performance in 27 patients with focal damage to various regions within prefrontal cortex, compared to 29 demographically matched control subjects. Both “behavior-defined” approaches, using qualitative lesion analyses and voxel-based lesion–symptom mapping methods, and more conventional “lesion-defined” groupwise comparisons were undertaken to determine the relationships between specific sites of damage within prefrontal cortex and particular aspects of n-back task performance. We confirmed a critical role for left lateral prefrontal cortex in letter 2-back performance. We also identified a critical role for medial prefrontal cortex in this task: Damage to dorsal anterior cingulate cortex and adjacent dorsal fronto-medial cortex led to a pattern of impairment marked by high false alarm rates, distinct from the impairment associated with lateral prefrontal damage. These findings provide converging support for regionally specific models of human prefrontal function.
    Type of Medium: Online Resource
    ISSN: 0898-929X , 1530-8898
    Language: English
    Publisher: MIT Press
    Publication Date: 2009
    SSG: 5,2
    SSG: 7,11
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  • 10
    Online Resource
    Online Resource
    MIT Press ; 2021
    In:  Journal of Cognitive Neuroscience Vol. 33, No. 9 ( 2021-08-01), p. 1784-1797
    In: Journal of Cognitive Neuroscience, MIT Press, Vol. 33, No. 9 ( 2021-08-01), p. 1784-1797
    Abstract: The frontal lobes have long been implicated in inhibitory control, but a full understanding of the underlying mechanisms remains elusive. The stop-signal task has been widely used to probe instructed response inhibition in cognitive neuroscience. The processes involved have been modeled and related to putative brain substrates. However, there has been surprisingly little human lesion research using this task, with the few existing studies implicating different prefrontal regions. Here, we tested the effects of focal prefrontal damage on stop-signal task performance in a large sample of people with chronic focal damage affecting the frontal lobes (n = 42) and demographically matched healthy individuals (n = 60). Patients with damage to the left lateral, right lateral, dorsomedial, or ventromedial frontal lobe had slower stop-signal RT compared to healthy controls. There were systematic differences in the patterns of impairment across frontal subgroups: Those with damage to the left or right lateral and dorsomedial frontal lobes, but not those with ventromedial frontal damage, were slower than controls to “go” as well as to stop. These findings suggest that multiple prefrontal regions make necessary but distinct contributions to stop-signal task performance. As a consequence, stop-signal RT slowing is not strongly localizing within the frontal lobes.
    Type of Medium: Online Resource
    ISSN: 0898-929X , 1530-8898
    Language: English
    Publisher: MIT Press
    Publication Date: 2021
    SSG: 5,2
    SSG: 7,11
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