Cognitive Function and Serum Hormone Levels Are Associated with Gray Matter Volume Decline in Female Patients with Prolactinomas

Background: It is controversial whether exposure to insulin resistance accelerates cognitive deterioration. The present study aimed to investigate the association between insulin resistance and gray matter volume loss to predict the cognitive decline. Methods: We recruited 160 participants (78 with Alzheimer’s disease and 82 without Alzheimer’s disease). Insulin resistance, regional gray matter volume, and cognitive function were assessed. A hierarchical moderated multiple regression (MMR) model was used to determine any associations among insulin resistance, structural changes in the brain, and cognitive decline. Results: The volumes of 7 regions in the gray matter were negatively related to insulin resistance in Alzheimer’s disease (p =0.032). Hierarchical MMR analysis indicated that insulin resistance did not directly affect the cognitive decline but moderated the cognitive decline through the decrease in gray matter volume in the key brain regions, i.e., inferior orbitofrontal gyrus (left), middle cingulate gyrus (right), hippocampus (right), and precuneus (right) (p < 0.05 in each case). Conclusion: Insulin resistance appears to exacerbate the cognitive decline associated with several gray matter volume loss.

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NEIGHBORHOOD SOCIOECONOMIC STATUS AND GRAY MATTER VOLUME IN OLDER ADULTS

Innovation in Aging ◽

10.1093/geroni/igz038.1542 ◽

2019 ◽

Vol 3 (Supplement_1) ◽

pp. S414-S414

Author(s):

Sara L Godina ◽

Caterina Rosano ◽

Peter J Gianaros ◽

Howard J Aizenstein ◽

Michelle C Carlson ◽

...

Keyword(s):

Older Adults ◽

Socioeconomic Status ◽

Cognitive Function ◽

Gray Matter ◽

Gray Matter Volume ◽

Community Dwelling ◽

Parahippocampal Gyrus ◽

Cross Sectional ◽

Neighborhood Socioeconomic Status ◽

Matter Volume

Abstract Lower neighborhood socioeconomic status (nSES) is associated with poorer cognitive function; underlying neural correlates are unknown. Cross-sectional associations of nSES (six census-derived measures of income, education, and occupation) and gray matter volume (GMV) of eight memory-related regions (hippocampus, middle frontal gyrus, amygdala, insula, parahippocampal gyrus, anterior, middle, and posterior cingulum) were examined in 264 community-dwelling older adults (mean age=83, 56.82% female, 39.02% black). In linear mixed effects models adjusted for total brain atrophy and accounting for geographic clustering, higher nSES was associated with greater GMV of the left hippocampus, left posterior cingulum, and bilateral insula, middle frontal, and parahippocampal gyri. nSES remained associated with GMV of the right insula (β= -32.26, p=0.026, 95%CI: -60.66, -3.86) after adjusting for individual level age, gender, race, income, and education. The nSES and cognitive function association may not be due to gray matter volume differences; other behavioral and biological mediators should be explored.

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Effects of Korean red ginseng on human gray matter volume and cognitive function: A voxel‐based morphometry study

Human Psychopharmacology Clinical and Experimental ◽

10.1002/hup.2767 ◽

2020 ◽

Author(s):

Eun Namgung ◽

Jungyoon Kim ◽

Hyeonseok Jeong ◽

Gahae Hong ◽

Myeongju Kim ◽

...

Keyword(s):

Cognitive Function ◽

Gray Matter ◽

Gray Matter Volume ◽

Red Ginseng ◽

Voxel Based Morphometry ◽

Korean Red Ginseng ◽

Matter Volume

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Nonspecific Effect of Stress on Brain Gray Matter Volume in Drug-naive Female Patients with First Depressive Episode

Chinese Medical Journal ◽

10.4103/0366-6999.174494 ◽

2016 ◽

Vol 129 (3) ◽

pp. 279-283 ◽

Cited By ~ 1

Author(s):

Chuan-Jun Zhuo ◽

Hai-Man Bian ◽

Yan-Jie Gao ◽

Xiao-Lei Ma ◽

Sheng-Zhang Ji ◽

...

Keyword(s):

Gray Matter ◽

Depressive Episode ◽

Gray Matter Volume ◽

Nonspecific Effect ◽

Female Patients ◽

Matter Volume ◽

Drug Naïve

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SO043MALNUTRITION-INFLAMMATION IS A RISK FACTOR FOR BRAIN ATROPHY RELATIVE COGNITIVE IMPAIRMENT IN MAINTENANCE DIALYSIS PATIENTS

Nephrology Dialysis Transplantation ◽

10.1093/ndt/gfaa139.so043 ◽

2020 ◽

Vol 35 (Supplement_3) ◽

Author(s):

Yujun Qian ◽

Ke Zheng ◽

Tianye Lin ◽

Feng Feng ◽

Fei Han ◽

...

Keyword(s):

Risk Factor ◽

Cognitive Impairment ◽

Cognitive Function ◽

White Matter ◽

Gray Matter ◽

Brain Atrophy ◽

Gray Matter Volume ◽

Dialysis Patients ◽

Matter Volume ◽

Maintenance Dialysis

Abstract Background and Aims Cognitive impairment (CI) are prevalent and devastating in dialysis patients, whereas the pathophysiology is not very clear. Brain atrophy may involve in the process of CI. To explore the correlation between brain atrophy and cognitive impairment, as well as the risk factors of brain atrophy, we used the voxel based morphometry (VBM) method to evaluate the changes of brain multi-component volume in maintenance dialysis patients, and analyzed it relationship with detailed cognitive function. Method From July 2013 to July 2014, 181 maintenance dialysis patients in our hospital were enrolled for 3.0T MRI examination and cognitive function evaluation. The statistical parameter map (SPM) 8 software package was used for VBM analysis, and the Monte Carlo simulation method (alphasim method) in the functional neural image analysis software package (AFNI) was used for multiple comparison correction at the cluster level to extract the volume of brain multi-component. Cognitive function was evaluated with MMSE, MoCA, Philadelphia word learning test, Boston Naming Test, semantic fluency test and trial making test. The risk factors for brain volume were explored, and the correlation between brain volume and CI was investigated by regression analysis. Results This study enrolled 181 dialysis patients, including 119 cases of maintenance hemodialysis and 62 cases of peritoneal dialysis. According to MMSE and MoCA, the incidence of cognitive impairment was 22.7% and 66.3% respectively. The mean values gray matter volume and white matter volume were 575.4mm3 and 457.8mm3, respectively. The volume of gray matter, white matter, amygdala, caudate nucleus and hippocampus were positively correlated with the scores of specific cognitive functions such as total, memory, language and execution. Among them, amygdala volume atrophy was significantly related to the decrease of cognitive function such as MMSE (β = 2.81, P = 0.005), MoCA (β = 6.26, P < 0.001). Serum albumin is the risk factor of gray matter volume (β = 5.0, 95% CI = 3.1 to 6.9, P < 0.001) and white matter volume (β = 3.6, 95% CI = 1.7 to 5.5, P < 0.001); Serum Hypersensitive C-reactive protein is the risk factor of gray matter volume (β = -0.9, 95% CI = -1.7 to - 0.1, P = 0.037). Conclusion Brain atrophy in maintenance dialysis patients is closely related to multiple cognitive impairment, and malnutrition - microinflammation may be a risk factor for multi-component brain atrophy.

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Dietary intake of eicosapentaenoic and docosahexaenoic acids is linked to gray matter volume and cognitive function in elderly

AGE ◽

10.1007/s11357-012-9453-3 ◽

2012 ◽

Vol 35 (4) ◽

pp. 1495-1505 ◽

Cited By ~ 56

Author(s):

Olga E. Titova ◽

Per Sjögren ◽

Samantha J. Brooks ◽

Joel Kullberg ◽

Erika Ax ◽

...

Keyword(s):

Cognitive Function ◽

Dietary Intake ◽

Gray Matter ◽

Gray Matter Volume ◽

Matter Volume ◽

Docosahexaenoic Acids

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Menstrual Cycle Variations in Gray Matter Volume, White Matter Volume and Functional Connectivity: Critical Impact on Parietal Lobe

Frontiers in Neuroscience ◽

10.3389/fnins.2020.594588 ◽

2020 ◽

Vol 14 ◽

Author(s):

Timothy J. Meeker ◽

Dieuwke S. Veldhuijzen ◽

Michael L. Keaser ◽

Rao P. Gullapalli ◽

Joel D. Greenspan

Keyword(s):

White Matter ◽

Menstrual Cycle ◽

Functional Connectivity ◽

Gray Matter ◽

Gray Matter Volume ◽

Gonadal Hormones ◽

White Matter Volume ◽

Menstrual Phase ◽

Hormone Levels ◽

Matter Volume

The role of gonadal hormones in neural plasticity remains unclear. This study aimed to examine the effects of naturally fluctuating hormone levels over the menstrual cycle in healthy females. Gray matter, functional connectivity (FC) and white matter changes over the cycle were assessed by using functional magnetic resonance imaging (fMRI), resting state fMRI, and structural MRIs, respectively, and associated with serum gonadal hormone levels. Moreover, electrocutaneous sensitivity was evaluated in 14 women in four phases of their menstrual cycle (menstrual, follicular, ovulatory, and luteal). Electrocutaneous sensitivity was greater during follicular compared to menstrual phase. Additionally, pain unpleasantness was lower in follicular phase than other phases while pain intensity ratings did not change over the cycle. Significant variations in cycle phase effects on gray matter volume were found in the left inferior parietal lobule (IPL) using voxel-based morphometry. Subsequent Freesurfer analysis revealed greater thickness of left IPL during the menstrual phase when compared to other phases. Also, white matter volume fluctuated across phases in left IPL. Blood estradiol was positively correlated with white matter volume both in left parietal cortex and whole cortex. Seed-driven FC between left IPL and right secondary visual cortex was enhanced during ovulatory phase. A seed placed in right IPL revealed enhanced FC between left and right IPL during the ovulatory phase. Additionally, we found that somatosensory cortical gray matter was thinner during follicular compared to menstrual phase. We discuss these results in the context of likely evolutionary pressures selecting for enhanced perceptual sensitivity across modalities specifically during ovulation.

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