Literature DB >> 25913700

Changes of individual BrainAGE during the course of the menstrual cycle.

Katja Franke1, Georg Hagemann2, Ekkehard Schleussner3, Christian Gaser4.   

Abstract

Brain morphology varies during the course of the menstrual cycle, with increases in individual gray matter volume at the time of ovulation. This study implemented our previously presented BrainAGE framework to analyze short-term neuroanatomical changes in healthy young women due to hormonal changes during the menstrual cycle. The BrainAGE approach determines the complex multidimensional aging pattern within the whole brain by applying established kernel regression methods to anatomical brain MRIs. The "Brain Age Gap Estimation" (i.e., BrainAGE) score is then calculated as the difference between chronological age and estimated brain age. Eight women (21-31 years) completed three to four MRI scans during their menstrual cycle (i.e., at (t1) menses, (t2) time of ovulation, (t3) midluteal phase, (t4) next menses). Serum levels of estradiol and progesterone were evaluated at each scanning session. Individual BrainAGE scores significantly differed during the course of the menstrual cycle (p<0.05), with a significant decrease of -1.3 years at ovulation (p<0.05). Moreover, higher estradiol levels significantly correlated with lower BrainAGE scores (r=-0.42, p<0.05). In future, the BrainAGE approach may serve as a sensitive as well as easily implementable tool to further explore the short-term and maybe long-term effects of hormones on brain plasticity and its modulating effects in lifestyle-related diseases and dementia.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  BrainAGE; Estradiol; Magnetic resonance imaging (MRI); Menstrual cycle; Voxel-based morphometry (VBM); Women

Mesh:

Substances:

Year:  2015        PMID: 25913700     DOI: 10.1016/j.neuroimage.2015.04.036

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  17 in total

1.  Age prediction on the basis of brain anatomical measures.

Authors:  S A Valizadeh; J Hänggi; S Mérillat; L Jäncke
Journal:  Hum Brain Mapp       Date:  2016-11-03       Impact factor: 5.038

2.  BrainAGE and regional volumetric analysis of a Buddhist monk: a longitudinal MRI case study.

Authors:  Nagesh Adluru; Cole H Korponay; Derek L Norton; Robin I Goldman; Richard J Davidson
Journal:  Neurocase       Date:  2020-02-26       Impact factor: 0.881

3.  Assessing the marks of change: how psychotherapy alters the brain structure in women with borderline personality disorder.

Authors:  Falk Mancke; Ruth Schmitt; Dorina Winter; Inga Niedtfeld; Sabine C Herpertz; Christian Schmahl
Journal:  J Psychiatry Neurosci       Date:  2018-05       Impact factor: 6.186

Review 4.  Estrogen- and progesterone-mediated structural neuroplasticity in women: evidence from neuroimaging.

Authors:  Eva Catenaccio; Weiya Mu; Michael L Lipton
Journal:  Brain Struct Funct       Date:  2016-02-20       Impact factor: 3.270

5.  Dose-dependent relationship between social drinking and brain aging.

Authors:  Alexanndra Angebrandt; Osama A Abulseoud; Mallory Kisner; Nancy Diazgranados; Reza Momenan; Yihong Yang; Elliot A Stein; Thomas J Ross
Journal:  Neurobiol Aging       Date:  2021-12-02       Impact factor: 4.673

Review 6.  Ovarian steroid hormones: A long overlooked but critical contributor to brain aging and Alzheimer's disease.

Authors:  Steven Jett; Eva Schelbaum; Grace Jang; Camila Boneu Yepez; Jonathan P Dyke; Silky Pahlajani; Roberta Diaz Brinton; Lisa Mosconi
Journal:  Front Aging Neurosci       Date:  2022-07-19       Impact factor: 5.702

7.  Potential Brain Age Reversal after Pregnancy: Younger Brains at 4-6 Weeks Postpartum.

Authors:  Eileen Luders; Malin Gingnell; Inger Sundström Poromaa; Jonas Engman; Florian Kurth; Christian Gaser
Journal:  Neuroscience       Date:  2018-07-12       Impact factor: 3.590

8.  In-vivo Dynamics of the Human Hippocampus across the Menstrual Cycle.

Authors:  Claudia Barth; Christopher J Steele; Karsten Mueller; Vivien P Rekkas; Katrin Arélin; Andre Pampel; Inga Burmann; Jürgen Kratzsch; Arno Villringer; Julia Sacher
Journal:  Sci Rep       Date:  2016-10-07       Impact factor: 4.379

9.  Premature Brain Aging in Baboons Resulting from Moderate Fetal Undernutrition.

Authors:  Katja Franke; Geoffrey D Clarke; Robert Dahnke; Christian Gaser; Anderson H Kuo; Cun Li; Matthias Schwab; Peter W Nathanielsz
Journal:  Front Aging Neurosci       Date:  2017-04-11       Impact factor: 5.750

10.  Dependency criterion based brain pathological age estimation of Alzheimer's disease patients with MR scans.

Authors:  Yongming Li; Yuchuan Liu; Pin Wang; Jie Wang; Sha Xu; Mingguo Qiu
Journal:  Biomed Eng Online       Date:  2017-04-24       Impact factor: 2.819

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.