scholarly journals Specific Gray Matter Volume Changes of the Brain in Unipolar and Bipolar Depression

2021 ◽  
Vol 14 ◽  
Author(s):  
Junyan Wang ◽  
Penghong Liu ◽  
Aixia Zhang ◽  
Chunxia Yang ◽  
Sha Liu ◽  
...  
Keyword(s):  
Gray Matter ◽  
Bipolar Depression ◽  
Inferior Frontal Gyrus ◽  
Gray Matter Volume ◽  
Structural Basis ◽  
Middle Temporal Gyrus ◽  
Healthy Controls ◽  
Matter Volume ◽  
The Common ◽  
Orbital Part

To identify the common and specific structural basis of bipolar depression (BD) and unipolar depression (UD) is crucial for clinical diagnosis. In this study, a total of 85 participants, including 22 BD patients, 36 UD patients, and 27 healthy controls, were enrolled. A voxel-based morphology method was used to identify the common and specific changes of the gray matter volume (GMV) to determine the structural basis. Significant differences in GMV were found among the three groups. Compared with healthy controls, UD patients showed decreased GMV in the orbital part of the left inferior frontal gyrus, whereas BD patients showed decreased GMV in the orbital part of the left middle frontal gyrus. Compared with BD, UD patients have increased GMV in the left supramarginal gyrus and middle temporal gyrus. Our results revealed different structural changes in UD and BD patients suggesting BD and UD have different neurophysiological underpinnings. Our study contributes toward the biological determination of morphometric changes, which could help to discriminate between UD and BD.

Association of Age at Onset With Gray Matter Volume and White Matter Microstructural Abnormalities in People With Multiple Sclerosis

Neurology ◽  
2021 ◽  
pp. 10.1212/WNL.0000000000012869
Author(s):  
Raffaello Bonacchi ◽  
Alessandro Meani ◽  
Elisabetta Pagani ◽  
Olga Marchesi ◽  
Andrea Falini ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
White Matter ◽  
Gray Matter ◽  
Linear Models ◽  
Gray Matter Volume ◽  
Age At Onset ◽  
Healthy Controls ◽  
Compensatory Mechanisms ◽  
Cross Sectional ◽  
Matter Volume

Objective:To investigate whether age at onset influences brain gray matter volume (GMV) and white matter (WM) microstructural abnormalities in adult multiple sclerosis (MS) patients, given its influence on clinical phenotype and disease course.Method:In this hypothesis-driven cross-sectional study, we enrolled 67 pediatric-onset MS (POMS) patients and 143 sex- and disease duration (DD)-matched randomly-selected adult-onset MS (AOMS) patients, together with 208 healthy controls. All subjects underwent neurological evaluation and 3T MRI acquisition. MRI variables were standardized based on healthy controls, to remove effects of age and sex. Associations with DD in POMS and AOMS patients were studied with linear models. Time to reach clinical and MRI milestones was assessed with product-limit approach.Results:At DD=1 year, GMV and WM fractional anisotropy (FA) were abnormal in AOMS but not in POMS patients. Significant interaction of age at onset (POMS vs AOMS) into the association with DD was found for GMV and WM FA. The crossing point of regression lines in POMS and AOMS patients was at 20 years of DD for GMV and 14 for WM FA. For POMS and AOMS patients, median DD was 29 and 19 years to reach Expanded Disability Status Scale=3 (p<0.001), 31 and 26 years to reach abnormal Paced Auditory Serial Addition Task-3 (p=0.01), 24 and 18 years to reach abnormal GMV (p=0.04), and 19 and 17 years to reach abnormal WM FA (p=0.36).Conclusions:Younger patients are initially resilient to MS-related damage. Then, compensatory mechanisms start failing with loss of WM integrity, followed by GM atrophy and finally disability.

F121. Examining the Relationship Between a Continuous Measure of Bipolarity and Gray Matter Volume in Unmedicated Individuals With Unipolar and Bipolar Depression

2019 ◽  
Vol 85 (10) ◽  
pp. S260
Author(s):  
Reuben Heyman-Kantor ◽  
Harry Rubin-Falcone ◽  
Mina Rizk ◽  
Yashar Yousefzadeh Fard ◽  
Ainsley K. Burke ◽  
...  
Keyword(s):  
Gray Matter ◽  
Bipolar Depression ◽  
Gray Matter Volume ◽  
Continuous Measure ◽  
Matter Volume ◽  
The Relationship

scholarly journals Daily and Intermittent Smoking Decrease Gray Matter Volume and Concentrations of Glutamate, Creatine, Myo-Inositol and N-acetylaspartate in the Prefrontal Cortex

2020 ◽  
Author(s):  
Paul Faulkner ◽  
Susanna Lucini Paioni ◽  
Petya Kozhuharova ◽  
Natasza Orlov ◽  
David J. Lythgoe ◽  
...  
Keyword(s):  
Prefrontal Cortex ◽  
Medial Prefrontal Cortex ◽  
Gray Matter ◽  
Smoking Status ◽  
Inferior Frontal Gyrus ◽  
Gray Matter Volume ◽  
Structural Mri ◽  
Resonance Spectroscopy ◽  
Matter Volume ◽  
The Right

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.

Fractional amplitude of low-frequency fluctuations and gray matter volume alterations in patients with bipolar depression

2020 ◽  
Vol 730 ◽  
pp. 135030 ◽  
Author(s):  
Ning Sun ◽  
Yening Li ◽  
Aixia Zhang ◽  
Chunxia Yang ◽  
Penghong Liu ◽  
...  
Keyword(s):  
Gray Matter ◽  
Bipolar Depression ◽  
Gray Matter Volume ◽  
Low Frequency ◽  
Matter Volume ◽  
Frequency Fluctuations

scholarly journals Reduced Gray Matter Volume and Risk of Falls in Parkinson’s Disease with Dementia Patients: A Voxel-Based Morphometry Study

2020 ◽  
Vol 17 (15) ◽  
pp. 5374
Author(s):  
Kai-Lun Cheng ◽  
Li-Han Lin ◽  
Po-Cheng Chen ◽  
Pi-Ling Chiang ◽  
Yueh-Sheng Chen ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Gray Matter ◽  
Inferior Frontal Gyrus ◽  
Gray Matter Volume ◽  
Voxel Based Morphometry ◽  
Matter Volume ◽  
Risk Of Falls

Purpose: Risk of falls is a common sequela affecting patients with Parkinson’s disease (PD). Although motor impairment and dementia are correlated with falls, associations of brain structure and cognition deficits with falls remain unclear. Material and Methods: Thirty-five PD patients with dementia (PDD), and 37 age- and sex-matched healthy subjects were recruited for this study. All participants received structural magnetic resonance imaging (MRI) scans, and disease severity and cognitive evaluations. Additionally, patient fall history was recorded. Regional structural differences between PDD with and without fall groups were performed using voxel-based morphometry processing. Stepwise logistic regression analysis was used to predict the fall risk in PDD patients. Results: The results revealed that 48% of PDD patients experienced falls. Significantly lower gray matter volume (GMV) in the left calcarine and right inferior frontal gyrus in PDD patients with fall compared to PDD patients without fall were noted. The PDD patients with fall exhibited worse UPDRS-II scores compared to PDD patients without fall and were negatively correlated with lower GMV in the left calcarine (p/r = 0.004/−0.492). Furthermore, lower GMV in the left calcarine and right inferior frontal gyrus correlated with poor attention and executive functional test scores. Multiple logistic regression analysis showed that the left calcarine was the only variable (p = 0.004, 95% CI = 0.00–0.00) negatively associated with the fall event. Conclusions: PDD patients exhibiting impaired motor function, lower GMV in the left calcarine and right inferior frontal gyrus, and notable cognitive deficits may have increased risk of falls.

Examining the relationship between gray matter volume and a continuous measure of bipolarity in unmedicated unipolar and bipolar depression

2021 ◽  
Vol 280 ◽  
pp. 105-113
Author(s):  
Reuben Heyman-Kantor ◽  
Mina Rizk ◽  
M. Elizabeth Sublette ◽  
Harry Rubin-Falcone ◽  
Yashar Yousefzadeh Fard ◽  
...  
Keyword(s):  
Gray Matter ◽  
Bipolar Depression ◽  
Gray Matter Volume ◽  
Continuous Measure ◽  
Matter Volume ◽  
The Relationship

scholarly journals 0307 Gray Matter Volume Correlates of Psychomotor Vigilance Speed During Sleep Deprivation

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A116-A116
Author(s):  
C E Meinhausen ◽  
J R Vanuk ◽  
M A Grandner ◽  
W D Killgore
Keyword(s):  
Prefrontal Cortex ◽  
Sleep Deprivation ◽  
Gray Matter ◽  
Inferior Frontal Gyrus ◽  
Gray Matter Volume ◽  
Sleep Loss ◽  
Grey Matter Volume ◽  
Matter Volume ◽  
The Right ◽  
Psychomotor Vigilance

Abstract Introduction Sleep deprivation has often been associated with decreased cognitive control, including deficits in the ability to sustain attention. Psychomotor vigilance speed slows following a period of fatigue, and can lead to disastrous results in daily life. In order to determine the brain areas correlated with reduced psychomotor vigilance speed, as a result of diminished sleep, a voxel-based morphometry analysis was performed prior to a period of monitored sleep deprivation. The mean speed of response time during the final 17 hours of a 29-hour sleep deprivation was then measured with the Psychomotor Vigilance Test (PVT), a reaction-timed task that measures the speed participants respond to a visual stimulus. Methods 45 healthy individuals (male=23 female=22) between the ages of 20-43 years (M=25.4 SD=5.6) participated in the study. Structural neuroimaging data were collected using a T3 magnetic resonance imaging scanner following a typical night’s sleep. Mean PVT speed was monitored with an hourly 10-minute PVT assessment during a monitored overnight sleep deprivation session. Speed was defined as the reciprocal of reaction time (1/RT). Results PVT speed was negatively correlated with grey matter volume (P&lt;.05 FWE-corrected) in the prefrontal cortex, specifically the right posterior inferior frontal gyrus (p=.030; MNI coordinates = 36, 12, 26). Conclusion Our findings indicate that gray matter within the right posterior inferior frontal gyrus is greater in individuals who are more vulnerable to slowing of PVT responses during an overnight period of sleep deprivation. These findings suggest that inter-individual differences in the ability to sustain psychomotor vigilance during sleep loss may be related to increased gray matter in the right lateral prefrontal cortex and could have implications for understanding the neurobiological substrates of vulnerability and resilience to sleep loss. Support  

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