Weak correlations between body height and several brain metrics in healthy elderly subjects

Jäncke, Lutz; Liem, Franziskus; Mérillat, Susan

doi:10.1111/ejn.14501

Cited by 7 publications

(13 citation statements)

References 72 publications

(108 reference statements)

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“…As anticipated, there are several gender-specific differences, especially in ICV, BV, and area measures. For the cortical thickness measures, we found no gender differences (for similar results see Jäncke et al, 2019aJäncke et al, ,2019bJäncke et al, , 2015.…”

Section: Image Acquisitionsupporting

confidence: 61%

“…Men and women differed in terms of education years, educational attainment (classification according to the ISCED scheme; 1: school education without a final degree, 2: high-school grade, 3: academic grade), and logical thinking and visual memory, with men scoring higher than women. In the meantime, our group has published several papers based on the baseline or longitudinal LHAB data (Madhyastha et al, 2014;Hirsiger et al, 2016;Koppelmans et al, 2015;Seidler et al, 2015;Muller et al, 2016;Valizadeh et al, 2017;Valizadeh et al, 2018;Jäncke et al, 2019a;Jäncke et al, 2019b).…”

Section: Subjectsmentioning

confidence: 99%

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Are language skills related to structural features in Broca's and Wernicke's area?

Jäncke

Liem

Mérillat

2020

Eur J of Neuroscience

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This study used structural magnetic resonance imaging to examine whether specific anatomical features of Broca's and Wernicke's areas are related to language functions in typically developing older subjects with no specific language expertize. Data from 231 subjects from the Zurich LHAB-study are used for this study. For these subjects, we obtained several psychometric measures from which we calculated performance measures reflecting specific psychological functions (language comprehension, verbal fluency, perceptual speed, visual memory, recognition of regularities, and logical thinking). From the MRI measurements, we calculated the cortical thickness and cortical surface of Broca's and Wernicke's areas. Applying multiple regression analyses, we identified a moderately strong relationship between language comprehension and the brain metrics from Broca's and Wernicke's areas and showed that approximately 10% of the variance in language comprehension performance is explained by the linear combination of all perisylvian brain metrics. The other psychological functions (verbal fluency, perceptual speed, visual memory, recognition of regularities, and logical thinking) are not related to these brain metrics. Subsequent detailed analyses revealed that the cortical thickness of Wernicke's area, in particular, contributed most to this structure-function relationship. The better performance in the language comprehension tests was related to a thicker cortex in Wernicke's area. Thus, this study demonstrates a structure-function relationship between the anatomical features of the perisylvian language areas and language comprehension, suggesting that particular anatomical features are associated with better language performance.

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Section: Image Acquisitionsupporting

confidence: 61%

Section: Subjectsmentioning

confidence: 99%

Are language skills related to structural features in Broca's and Wernicke's area?

Jäncke

Liem

Mérillat

2020

Eur J of Neuroscience

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“…From the initial search, 162 articles were retrieved with 38 of them being analyzed 19,21–57 . All included studies were prospective; five had an intraindividual study design with two 21,24,31,40 or three study groups 19 that were examined separately. In those cases, study groups were considered to be independent, resulting in a total of 44 study groups from the 38 articles.…”

Section: Resultsmentioning

confidence: 99%

“…Seventeen articles with a total of 21 study groups reported quantitative data for WMH volume as mean ± SD and were therefore included in the meta‐analysis 19,21,23,26–28,31,33,37,39,42,43,46,48,49,52,57 . The total number of healthy subjects included in the meta‐analysis was 2743.…”

Section: Resultsmentioning

confidence: 99%

“…In our review and meta‐analysis, slice thickness values were highly heterogeneous across the included studies. Most recent studies, especially those preformed at 3T, employed volumetric acquisitions with about 1 mm isotropic voxel size 21,23,26,28,57 . Other studies acquired axial slices with 2, 27,52 3, 19,42,46 4, 48,49 or even 5 mm 31,39 slice thickness.…”

Section: Limitationsmentioning

confidence: 99%

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White Matter Hyperintensities Quantification in Healthy Adults: A Systematic Review and Meta‐Analysis

Melazzini

Vitali

Olivieri

et al. 2020

Magnetic Resonance Imaging

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Background Although white matter hyperintensities (WMH) volumetric assessment is now customary in research studies, inconsistent WMH measures among homogenous populations may prevent the clinical usability of this biomarker. Purpose To determine whether a point estimate and reference standard for WMH volume in the healthy aging population could be determined. Study Type Systematic review and meta‐analysis. Population In all, 9716 adult subjects from 38 studies reporting WMH volume were retrieved following a systematic search on EMBASE. Field Strength/Sequence 1.0T, 1.5T, or 3.0T/fluid‐attenuated inversion recovery (FLAIR) and/or proton density/T2‐weighted fast spin echo sequences or gradient echo T1‐weighted sequences. Assessment After a literature search, sample size, demographics, magnetic field strength, MRI sequences, level of automation in WMH assessment, study population, and WMH volume were extracted. Statistical Tests The pooled WMH volume with 95% confidence interval (CI) was calculated using the random‐effect model. The I2 statistic was calculated as a measure of heterogeneity across studies. Meta‐regression analysis of WMH volume on age was performed. Results Of the 38 studies analyzed, 17 reported WMH volume as the mean and standard deviation (SD) and were included in the meta‐analysis. Mean and SD of age was 66.11 ± 10.92 years (percentage of men 50.45% ± 21.48%). Heterogeneity was very high (I2 = 99%). The pooled WMH volume was 4.70 cm3 (95% CI: 3.88–5.53 cm3). At meta‐regression analysis, WMH volume was positively associated with subjects' age (β = 0.358 cm3 per year, P < 0.05, R2 = 0.27). Data Conclusion The lack of standardization in the definition of WMH together with the high technical variability in assessment may explain a large component of the observed heterogeneity. Currently, volumes of WMH in healthy subjects are not comparable between studies and an estimate and reference interval could not be determined. Level of Evidence 1 Technical Efficacy Stage 1

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Evaluating the Impact of Intracranial Volume Correction Approaches on the Quantification of Intracranial Structures in MRI: A Systematic Analysis

Hu,

Lou,

Zhu

et al. 2023

Magnetic Resonance Imaging

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BackgroundIn neuroscience, accurately quantifying individual brain regions in large cohorts is a challenge. Differences in intracranial structures can suggest functional differences, but they also reflect the effects of other factors. However, there is currently no standardized method for the correction of intracranial structure measurements.PurposeTo identify the optimal method to counteract the influence of total intracranial volume (TIV) and gender on the measurement of intracranial structures.Study TypeProspective.Population/SubjectsOne hundred forty‐one healthy adult volunteers (70 male, mean age 21.8 ± 1.7 years).Field Strength/SequenceT1‐weighted 3D gradient‐echo sequence at 3.0 T.AssessmentA radiologist with 5 years of work experience screened the raw images to exclude poor‐quality images. Freesurfer then performed automated segmentation to obtain measurements of intracranial structures. Male‐only, female‐only, and TIV‐matched sub‐samples were created separately. Comparisons between the original data and these sub‐samples were used to assess the effects of gender and TIV. Comparison the consistency between TIV‐matched sample and corrected data that corrected by four methods: Proportion method, power‐corrected proportion method, covariate regression method, and residual method.Statistical TestsCohen's d for examining group distribution disparities, t‐tests for probing mean differences, correlation coefficients to assess the relationships between intracranial substructure measurements and TIV. Multiple comparison corrections were applied to the results.ResultsThe correlation coefficients between TIV and the volumes of intracranial structures ranged from 0.033 to 0.883, with an average of 0.467. Thirty significant volume differences were found among 36 structures in the original sample, while no differences were observed in the TIV‐matched sample. Among the four correction methods, the residual method had highest consistency (similarity 94.4%) with the TIV‐matched group.Data ConclusionThe variation in intracranial structure sizes between genders was largely attributable to TIV. The residual method offers a more accurate and effective approach for correcting the effects of TIV on intracranial structures.Evidence Level2Technical EfficacyStage 1

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Weak correlations between body height and several brain metrics in healthy elderly subjects

Cited by 7 publications

References 72 publications

Are language skills related to structural features in Broca's and Wernicke's area?

Are language skills related to structural features in Broca's and Wernicke's area?

White Matter Hyperintensities Quantification in Healthy Adults: A Systematic Review and Meta‐Analysis

Evaluating the Impact of Intracranial Volume Correction Approaches on the Quantification of Intracranial Structures in MRI: A Systematic Analysis

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