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  • 1
    Online Resource
    Online Resource
    Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3–90 years
    Wiley ; 2022
    In:  Human Brain Mapping Vol. 43, No. 1 ( 2022-01), p. 452-469
    Details
    In: Human Brain Mapping, Wiley, Vol. 43, No. 1 ( 2022-01), p. 452-469
    Abstract: Age has a major effect on brain volume. However, the normative studies available are constrained by small sample sizes, restricted age coverage and significant methodological variability. These limitations introduce inconsistencies and may obscure or distort the lifespan trajectories of brain morphometry. In response, we capitalized on the resources of the Enhancing Neuroimaging Genetics through Meta‐Analysis (ENIGMA) Consortium to examine age‐related trajectories inferred from cross‐sectional measures of the ventricles, the basal ganglia (caudate, putamen, pallidum, and nucleus accumbens), the thalamus, hippocampus and amygdala using magnetic resonance imaging data obtained from 18,605 individuals aged 3–90 years. All subcortical structure volumes were at their maximum value early in life. The volume of the basal ganglia showed a monotonic negative association with age thereafter; there was no significant association between age and the volumes of the thalamus, amygdala and the hippocampus (with some degree of decline in thalamus) until the sixth decade of life after which they also showed a steep negative association with age. The lateral ventricles showed continuous enlargement throughout the lifespan. Age was positively associated with inter‐individual variability in the hippocampus and amygdala and the lateral ventricles. These results were robust to potential confounders and could be used to examine the functional significance of deviations from typical age‐related morphometric patterns.
    Type of Medium: Online Resource
    ISSN: 1065-9471 , 1097-0193
    URL: Issue
    URL: Article
    DOI: 10.1002/hbm.v43.1
    DOI: 10.1002/hbm.25320
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 1492703-2
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  • 2
    Online Resource
    Online Resource
    Maturation of cortical microstructure and cognitive development in childhood and adolescence: A T1w/T2w ratio MRI study
    Wiley ; 2020
    In:  Human Brain Mapping Vol. 41, No. 16 ( 2020-11), p. 4676-4690
    Details
    In: Human Brain Mapping, Wiley, Vol. 41, No. 16 ( 2020-11), p. 4676-4690
    Abstract: The restructuring and optimization of the cerebral cortex from early childhood and through adolescence is an essential feature of human brain development, underlying immense cognitive improvements. Beyond established morphometric cortical assessments, the T1w/T2w ratio quantifies partly separate biological processes, and might inform models of typical neurocognitive development and developmental psychopathology. In the present study, we computed vertex‐wise T1w/T2w ratio across the cortical surface in 621 youths (3–21 years) sampled from the Pediatric Imaging, Neurocognition, and Genetics (PING) study and tested for associations with individual differences in age, sex, and both general and specific cognitive abilities. The results showed a near global linear age‐related increase in T1w/T2w ratio across the brain surface, with a general posterior to anterior increasing gradient in association strength. Moreover, results indicated that boys in late adolescence had regionally higher T1w/T2w ratio as compared to girls. Across individuals, T1w/T2w ratio was negatively associated with general and several specific cognitive abilities mainly within anterior cortical regions. Our study indicates age‐related differences in T1w/T2w ratio throughout childhood, adolescence, and young adulthood, in line with the known protracted myelination of the cortex. Moreover, the study supports T1w/T2w ratio as a promising surrogate measure of individual differences in intracortical brain structure in neurodevelopment.
    Type of Medium: Online Resource
    ISSN: 1065-9471 , 1097-0193
    URL: Issue
    URL: Article
    DOI: 10.1002/hbm.v41.16
    DOI: 10.1002/hbm.25149
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 1492703-2
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  • 3
    Online Resource
    Online Resource
    Mood episodes are associated with increased cortical thinning: A longitudinal study of bipolar disorder type II
    Wiley ; 2019
    In:  Bipolar Disorders Vol. 21, No. 6 ( 2019-09), p. 525-538
    Details
    In: Bipolar Disorders, Wiley, Vol. 21, No. 6 ( 2019-09), p. 525-538
    Abstract: Previous studies found evidence for thinner frontotemporal cortices in bipolar disorder (BD), yet whether this represents a stable disease trait or an effect of mood episodes remains unknown. Here, we assessed the reproducibility of thinner frontotemporal cortices in BD type II, compared longitudinal changes in cortical thickness between individuals with BD type II and healthy controls (HCs), and examined the effect of mood episodes on cortical thickness change. Methods Thirty‐three HCs and 29 individuals with BD type II underwent 3T magnetic resonance imaging at baseline, as published previously, and 2.4 years later, at follow‐up. Cross‐sectional and longitudinal analyses of cortical thickness were performed using Freesurfer, and relationships with mood episodes from baseline to follow‐up were assessed. Results Individuals with BD type II had thinner left and right prefrontal and left temporal cortex clusters at follow‐up (all corrected P  〈  0.001), consistent with baseline results. Both groups showed widespread longitudinal cortical thinning, and patients had increased thinning in a left temporal cortex cluster compared to HCs (corrected P  〈  0.001). Patients with more ( 〉 2) depressive episodes between baseline and follow‐up had greater left temporal cortical thinning than patients with fewer depressive episodes (corrected P  〈  0.05). In addition, patients with more depressive episodes had greater thinning in bilateral ventromedial prefrontal clusters relative to HCs (uncorrected P  〈  0.05), yet these results did not survive correction for multiple comparisons. Conclusions Together, these findings support reduced frontotemporal cortical thickness in BD type II and provide the first preliminary evidence for an association between depressive episodes and increased cortical thinning.
    Type of Medium: Online Resource
    ISSN: 1398-5647 , 1399-5618
    URL: Issue
    URL: Article
    DOI: 10.1111/bdi.v21.6
    DOI: 10.1111/bdi.12771
    Language: English
    Publisher: Wiley
    Publication Date: 2019
    detail.hit.zdb_id: 2001157-X
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  • 4
    Online Resource
    Online Resource
    Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3–90 years
    Wiley ; 2022
    In:  Human Brain Mapping Vol. 43, No. 1 ( 2022-01), p. 431-451
    Details
    In: Human Brain Mapping, Wiley, Vol. 43, No. 1 ( 2022-01), p. 431-451
    Abstract: Delineating the association of age and cortical thickness in healthy individuals is critical given the association of cortical thickness with cognition and behavior. Previous research has shown that robust estimates of the association between age and brain morphometry require large‐scale studies. In response, we used cross‐sectional data from 17,075 individuals aged 3–90 years from the Enhancing Neuroimaging Genetics through Meta‐Analysis (ENIGMA) Consortium to infer age‐related changes in cortical thickness. We used fractional polynomial (FP) regression to quantify the association between age and cortical thickness, and we computed normalized growth centiles using the parametric Lambda, Mu, and Sigma method. Interindividual variability was estimated using meta‐analysis and one‐way analysis of variance. For most regions, their highest cortical thickness value was observed in childhood. Age and cortical thickness showed a negative association; the slope was steeper up to the third decade of life and more gradual thereafter; notable exceptions to this general pattern were entorhinal, temporopolar, and anterior cingulate cortices. Interindividual variability was largest in temporal and frontal regions across the lifespan. Age and its FP combinations explained up to 59% variance in cortical thickness. These results may form the basis of further investigation on normative deviation in cortical thickness and its significance for behavioral and cognitive outcomes.
    Type of Medium: Online Resource
    ISSN: 1065-9471 , 1097-0193
    URL: Issue
    URL: Article
    DOI: 10.1002/hbm.v43.1
    DOI: 10.1002/hbm.25364
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 1492703-2
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