| Title |
Male brain ages faster: the age and gender dependence of subcortical volumes
|
|---|---|
| Published in |
Brain Imaging and Behavior, November 2015
|
| DOI | 10.1007/s11682-015-9468-3 |
| Pubmed ID | |
| Authors |
András Király, Nikoletta Szabó, Eszter Tóth, Gergő Csete, Péter Faragó, Krisztián Kocsis, Anita Must, László Vécsei, Zsigmond Tamás Kincses |
| Abstract |
Effects of gender on grey matter (GM) volume differences in subcortical structures of the human brain have consistently been reported. Recent research evidence suggests that both gender and brain size influences volume distribution in subcortical areas independently. The goal of this study was to determine the effects of the interplay between brain size, gender and age contributing to volume differences of subcortical GM in the human brain. High-resolution T1-weighted images were acquired from 53 healthy males and 50 age-matched healthy females. Total GM volume was determined using voxel-based morphometry. We used model-based subcortical segmentation analysis to measure the volume of subcortical nuclei. Main effects of gender, brain volume and aging on subcortical structures were examined using multivariate analysis of variance. No significant difference was found in total brain volume between the two genders after correcting for total intracranial volume. Our analysis revealed significantly larger hippocampus volume for females. Additionally, GM volumes of the caudate nucleus, putamen and thalamus displayed a significant age-related decrease in males as compared to females. In contrast to this only the thalamic volume loss proved significant for females. Strikingly, GM volume decreases faster in males than in females emphasizing the interplay between aging and gender on subcortical structures. These findings might have important implications for the interpretation of the effects of unalterable factors (i.e. gender and age) in cross-sectional structural MRI studies. Furthermore, the volume distribution and changes of subcortical structures have been consistently related to several neuropsychiatric disorders (e.g. Parkinson's disease, attention deficit hyperactivity disorder, etc.). Understanding these changes might yield further insight in the course and prognosis of these disorders. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 1 | 14% |
| Canada | 1 | 14% |
| India | 1 | 14% |
| Germany | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 1% |
| Unknown | 81 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 22% |
| Researcher | 10 | 12% |
| Student > Master | 10 | 12% |
| Student > Doctoral Student | 8 | 10% |
| Student > Bachelor | 5 | 6% |
| Other | 14 | 17% |
| Unknown | 17 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 18 | 22% |
| Medicine and Dentistry | 14 | 17% |
| Psychology | 7 | 9% |
| Engineering | 5 | 6% |
| Nursing and Health Professions | 3 | 4% |
| Other | 14 | 17% |
| Unknown | 21 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 53. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 February 2019.
All research outputs
#704,602
of 23,342,092 outputs
Outputs from Brain Imaging and Behavior
#36
of 1,158 outputs
Outputs of similar age
#10,286
of 253,574 outputs
Outputs of similar age from Brain Imaging and Behavior
#1
of 29 outputs
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We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.