scholarly journals Relationship Between Depression, Prefrontal Creatine and Gray Matter Volume

Author(s):  
Paul Faulkner ◽  
Susanna Lucini Paioni ◽  
Petya Kozhuharova ◽  
Natasza Orlov ◽  
David J. Lythgoe ◽  
...  

AbstractBackgroundDepression and low mood are leading contributors to disability worldwide. Research indicates that clinical depression may be associated with low creatine concentrations in the brain and low prefrontal gray matter volume. Because sub-clinical depression also contributes to difficulties in day-to-day life, understanding the neural mechanisms of depressive symptoms in all individuals, even at a sub-clinical level, may aid public health.MethodsEighty-four young adult participants completed the Depression, Anxiety and Stress Scale (DASS) to quantify severity of depression, anxiety and stress, and underwent 1H-Magnetic Resonance Spectroscopy of the medial prefrontal cortex and structural MRI to determine whole-brain gray matter volume.Results/OutcomesDASS depression scores were negatively associated with A) concentrations of creatine (but not other metabolites) in the prefrontal cortex, and B) with gray matter volume in the right superior medial frontal gyrus. Medial prefrontal creatine concentrations and right superior medial frontal gray matter volume were positively correlated. DASS anxiety and DASS stress scores were not related to prefrontal metabolite concentrations or whole-brain gray matter volume.Conclusions/InterpretationsThis study provides preliminary evidence from a representative group of individuals who exhibit a range of depression levels, that prefrontal creatine and gray matter volume are negatively associated with depression. While future research is needed to fully understand this relationship, these results provide support for previous findings which indicate that increasing creatine concentrations in the prefrontal cortex may improve mood and wellbeing.Declaration of Interest/FundingThis research was partly funded by a British Academy/Leverhulme Trust Research Grant, awarded to PA.

2021 ◽  
pp. 026988112110505
Author(s):  
Paul Faulkner ◽  
Susanna Lucini Paioni ◽  
Petya Kozhuharova ◽  
Natasza Orlov ◽  
David J Lythgoe ◽  
...  

Background: Depression and low mood are leading contributors to disability worldwide. Research indicates that clinical depression may be associated with low creatine concentrations in the brain and low prefrontal grey matter volume. Because subclinical depression also contributes to difficulties in day-to-day life, understanding the neural mechanisms of depressive symptoms in all individuals, even at a subclinical level, may aid public health. Methods: Eighty-four young adult participants completed the Depression, Anxiety and Stress Scale (DASS) to quantify severity of depression, anxiety and stress, and underwent 1H-Magnetic Resonance Spectroscopy of the medial prefrontal cortex and structural magnetic resonance imaging (MRI) to determine whole-brain grey matter volume. Results/outcomes: DASS depression scores were negatively associated (a) with concentrations of creatine (but not other metabolites) in the prefrontal cortex and (b) with grey matter volume in the right superior medial frontal gyrus. Medial prefrontal creatine concentrations and right superior medial frontal grey matter volume were positively correlated. DASS anxiety and DASS stress scores were not related to prefrontal metabolite concentrations or whole-brain grey matter volume. Conclusions/interpretations: This study provides preliminary evidence from a representative group of individuals who exhibit a range of depression levels that prefrontal creatine and grey matter volume are negatively associated with depression. While future research is needed to fully understand this relationship, these results provide support for previous findings, which indicate that increasing creatine concentrations in the prefrontal cortex may improve mood and well-being.


2020 ◽  
Author(s):  
Paul Faulkner ◽  
Susanna Lucini Paioni ◽  
Petya Kozhuharova ◽  
Natasza Orlov ◽  
David J. Lythgoe ◽  
...  

AbstractCigarette smoking is still the largest contributor to disease and death worldwide. Successful cessation is hindered by decreases in prefrontal glutamate concentrations and gray matter volume due to daily smoking. Because non-daily, intermittent smoking also contributes greatly to disease and death, understanding whether infrequent tobacco use is associated with reductions in prefrontal glutamate concentrations and gray matter volume may aid public health. Eighty-five young participants (41 non-smokers, 24 intermittent smokers, 20 daily smokers, mean age ~23 years old), underwent 1H-magnetic resonance spectroscopy of the medial prefrontal cortex, as well as structural MRI to determine whole-brain gray matter volume. Compared to non-smokers, both daily and intermittent smokers exhibited lower concentrations of glutamate, creatine, N-acetylaspartate and myo-inositol in the medial prefrontal cortex, and lower gray matter volume in the right inferior frontal gyrus; these measures of prefrontal metabolites and structure did not differ between daily and intermittent smokers. Finally, medial prefrontal metabolite concentrations and right inferior frontal gray matter volume were positively correlated, but these relationships were not influenced by smoking status. This study provides the first evidence that both daily and intermittent smoking are associated with low concentrations of glutamate, creatine, N-acetylaspartate and myo-inositol, and low gray matter volume in the prefrontal cortex. Future tobacco cessation efforts should not ignore potential deleterious effects of intermittent smoking by considering only daily smokers. Finally, because low glutamate concentrations hinder cessation, treatments that can normalize tonic levels of prefrontal glutamate, such as N-acetylcysteine, may help intermittent and daily smokers to quit.


SLEEP ◽  
2020 ◽  
Vol 43 (9) ◽  
Author(s):  
Nicola Neumann ◽  
Martin Lotze ◽  
Martin Domin

Abstract Study Objectives Previous studies were inconsistent with regard to the association of sleep dysfunction on the brain’s gray matter volume (GMV). The current study set out to investigate if there is a moderating effect of sex on the relationship between sleep quality in healthy individuals and GMV. Methods We applied voxel-based morphometry in 1,074 young adults of the “Human Connectome Project.” An analysis of variance with the factors “sleep quality” (good/poor according to the Pittsburgh Sleep Quality Index, cutoff >5) and “sex” (male, female) on GMV was conducted. Additionally, linear relationships between sleep quality and GMV were tested. Results The analysis of variance yielded no main effect for sleep quality, but an interaction between sex and sleep quality for the right superior frontal gyrus. Post hoc t-tests showed that female good sleepers in comparison to female poor sleepers had larger GMV in the right parahippocampal gyrus extending to the right hippocampus (whole-brain family-wise error [FWE]-corrected), as well as smaller GMV in the right inferior parietal lobule (whole-brain FWE-corrected) and the right inferior temporal gyrus (whole brain FWE-corrected). There were no significant effects when comparing male good sleepers to male poor sleepers. Linear regression analyses corroborated smaller GMV in the right parahippocampal gyrus in women with poor sleep quality. Conclusions Poor sleep quality was associated with altered GMV in females, but not in males. Future studies are needed to investigate the neurobiological mechanisms that underlie the sex differences in the association of sleep quality and brain differences found in this study.


SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A119-A119
Author(s):  
I Anlap ◽  
E Taylor ◽  
M A Grandner ◽  
W D Killgore

Abstract Introduction Vulnerability to sleep deprivation (SD) has been attributed to inter-individual trait-like differences in the ability to sustain vigilance and subjective alertness, which may have distinct neurobiological substrates. We have previously shown that reduced suppression of the Default Mode Network (DMN) during a cognitive task was predictive of global vulnerability to SD. However, little is known about vulnerability to mood decrements during SD and the underlying neurobiological mechanisms. Using voxel-based morphometry (VBM), we assessed structural differences in gray matter volume (GMV) of a region of the anterior DMN, the medial prefrontal cortex and its association with self-reported mood during 29 hours of SD. Methods 45 healthy participants (23 male; Ages 20-43) underwent 3T structural magnetic resonance imaging (MRI). Within 4 days, participants underwent an overnight SD session (29 hours awake total) which included hourly mood assessments with several visual analog mood scales (VAMS) assessing positive and negative affect. Hourly VAMS data were converted into a comparative metric of percent worsening of mood scores from 19:00 until noon the next day. These scores were averaged to determine a “mood resilience” score, with higher scores indicating greater mood sustainment. Using SPM12, the mean mood resilience scores were correlated with whole-brain gray matter volume, restricted to the medial prefrontal cortex, p<.05, FWE corrected, with a cluster threshold of 137 voxels. Results Overnight mood resilience was significantly correlated with greater grey matter volume in right rostral medial prefrontal cortex (p<.05, corrected; k=137). Conclusion Individuals with greater gray matter volume within a circumscribed region of the right medial prefrontal cortex demonstrated greater resilience to mood degradation over 29 hours of continuous wakefulness. This same region of the brain has been shown to be critical for the passive maintenance of emotions. We speculate that greater GMV could protect against mood decline by better sustaining emotional state during SD. Support Defense Advanced Research Projects Agency Young Faculty Award: DARPA-12-12-11-YFA11-FP-029


2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi224-vi224
Author(s):  
Yanong Li

Abstract OBJECTIVE To assess the whole brain structural plasticity in case of unilateral basal ganglia germ cell tumors (BGGCTs). METHODS To detect changes in gray matter volume of the whole brain from structural Magnetic Resonance Imaging (MRI), we used voxel-based morphometry (VBM) in a sample of 41 patients with BGGCTs invading the left basal ganglia (BasalG_L group; n = 22) or the right basal ganglia (BasalG_R group; n = 19) and a sample of 16 patients with GCTs arising in pineal or suprasellar regions, comparing these groups with 16 age-matched normal controls (NCs) by two-sample t test after that. RESULTS To left BGGCTs patients, the regions of whole brain VBM analysis emphasized a large cluster of voxels with gray matter volume increase in left para hippocampal (k = 529 voxels, T=4.18, p< 0.01) and decrease in left thalamus (k = 527 voxels, T=-4.88, p< 0.01). At the same time, the cluster of voxels with gray matter volume increase in right middle cingulate cortex (rMCC) (k = 172 voxels, T=3.96, p< 0.01), and decrease in right inferior frontal gyrus (rIFG), pars opercular (k = 495 voxels, T= -4.29, p< 0.01) in right BGGCTs patients. Furthermore, gray matter volume showed no significant difference between groups of patients with GCTs arising in pineal or suprasellar regions and NCs by two-sample t test. And the results were corrected by family-wise-error correction. CONCLUSIONS The revealed results demonstrate that slow-growing but destructive lesion of the BGGCTs markedly and asymmetrically atrophies the gray matter volume in specific brain regions and shows compensatory plasticity in each side of cerebral hemisphere. Our findings direct focus on the whole cerebral adaptation that perhaps be a physiologic basis for the high level of functional compensation and partially explain the relationships between gray matter remodeling and cognitive disturbances observed in patients with BGGCTs.


2013 ◽  
Vol 538 ◽  
pp. 43-48 ◽  
Author(s):  
Ying-wei Qiu ◽  
Gui-hua Jiang ◽  
Huan-huan Su ◽  
Xiao-fei Lv ◽  
Jun-zhang Tian ◽  
...  

Neuroreport ◽  
2018 ◽  
Vol 29 (9) ◽  
pp. 760-767 ◽  
Author(s):  
Xin Huang ◽  
Yuxiang Hu ◽  
Fuqing Zhou ◽  
Xiaoxuan Xu ◽  
Yifan Wu ◽  
...  

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