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.

scholarly journals Reduced gray matter volume and respiratory dysfunction in Parkinson’s disease: a voxel-based morphometry study

BMC Neurology ◽  
2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Sieh-Yang Lee ◽  
Meng-Hsiang Chen ◽  
Pi-Ling Chiang ◽  
Hsiu-Ling Chen ◽  
Kun-Hsien Chou ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Gray Matter ◽  
Gray Matter Volume ◽  
Voxel Based Morphometry ◽  
Respiratory Dysfunction ◽  
Matter Volume

Reproducibility of Brain Volume Changes in Longitudinal Voxel-Based Morphometry Between Non-Accelerated and Accelerated Magnetic Resonance Imaging

2021 ◽  
pp. 1-10
Author(s):  
Hidemasa Takao ◽  
Shiori Amemiya ◽  
Osamu Abe ◽  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Magnetic Resonance ◽  
Gray Matter ◽  
Gray Matter Volume ◽  
Elderly Subjects ◽  
Voxel Based Morphometry ◽  
Volume Changes ◽  
Matter Volume ◽  
Healthy Elderly

Background: Scan acceleration techniques, such as parallel imaging, can reduce scan times, but reliability is essential to implement these techniques in neuroimaging. Objective: To evaluate the reproducibility of the longitudinal changes in brain morphology determined by longitudinal voxel-based morphometry (VBM) between non-accelerated and accelerated magnetic resonance images (MRI) in normal aging, mild cognitive impairment (MCI), and Alzheimer’s disease (AD). Methods: Using data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) 2 database, comprising subjects who underwent non-accelerated and accelerated structural T1-weighted MRI at screening and at a 2-year follow-up on 3.0 T Philips scanners, we examined the reproducibility of longitudinal gray matter volume changes determined by longitudinal VBM processing between non-accelerated and accelerated imaging in 50 healthy elderly subjects, 54 MCI patients, and eight AD patients. Results: The intraclass correlation coefficient (ICC) maps differed among the three groups. The mean ICC was 0.72 overall (healthy elderly, 0.63; MCI, 0.75; AD, 0.63), and the ICC was good to excellent (0.6–1.0) for 81.4%of voxels (healthy elderly, 64.8%; MCI, 85.0%; AD, 65.0%). The differences in image quality (head motion) were not significant (Kruskal–Wallis test, p = 0.18) and the within-subject standard deviations of longitudinal gray matter volume changes were similar among the groups. Conclusion: The results indicate that the reproducibility of longitudinal gray matter volume changes determined by VBM between non-accelerated and accelerated MRI is good to excellent for many regions but may vary between diseases and regions.

scholarly journals Is Gray Matter Volume an Intermediate Phenotype for Schizophrenia? A Voxel-Based Morphometry Study of Patients with Schizophrenia and Their Healthy Siblings

2008 ◽  
Vol 63 (5) ◽  
pp. 465-474 ◽  
Author(s):  
Robyn A. Honea ◽  
Andreas Meyer-Lindenberg ◽  
Katherine B. Hobbs ◽  
Lukas Pezawas ◽  
Venkata S. Mattay ◽  
...  
Keyword(s):  
Gray Matter ◽  
Gray Matter Volume ◽  
Intermediate Phenotype ◽  
Voxel Based Morphometry ◽  
Matter Volume ◽  
Healthy Siblings

Putaminal gray matter volume decrease in panic disorder: an optimized voxel-based morphometry study

2005 ◽  
Vol 22 (8) ◽  
pp. 2089-2094 ◽  
Author(s):  
Hanik K. Yoo ◽  
Minue J. Kim ◽  
Seog Ju Kim ◽  
Young Hoon Sung ◽  
Minyoung E. Sim ◽  
...  
Keyword(s):  
Panic Disorder ◽  
Gray Matter ◽  
Gray Matter Volume ◽  
Voxel Based Morphometry ◽  
Matter Volume ◽  
Volume Decrease

scholarly journals Prevalence and type of cervical deformities among adults with Parkinson's disease: a cross-sectional study

2016 ◽  
Vol 24 (4) ◽  
pp. 527-534 ◽  
Author(s):  
Bong Ju Moon ◽  
Justin S. Smith ◽  
Christopher P. Ames ◽  
Christopher I. Shaffrey ◽  
Virginie Lafage ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Cervical Spine ◽  
Logistic Regression Analysis ◽  
Control Group ◽  
Spine Deformities ◽  
Sagittal Malalignment ◽  
Age And Sex

OBJECT To identify the characteristics of cervical deformities in Parkinson's disease (PD) and the role of severity of PD in the development of cervical spine deformities, the authors investigated the prevalence of the cervical deformities, cervical kyphosis (CK), and cervical positive sagittal malalignment (CPSM) in patients with PD. They also analyzed the association of severity of cervical deformities with the stage of PD in the context of global sagittal spinopelvic alignment. METHODS This study was a prospective assessment of consecutively treated patients (n = 89) with PD. A control group of the age- and sex-matched patients was selected from patients with degenerative cervical spine disease but without PD. Clinical and demographic parameters including age, sex, duration of PD, and Hoehn and Yahr (H&Y) stage were collected. Full-length standing radiographs were used to assess spinopelvic parameters. CK was defined as a C2–7 Cobb angle < 0°. CPSM was defined as C2–7 sagittal vertical axis (SVA) > 4 cm. RESULTS A significantly higher prevalence of CPSM (28% vs 1.1%, p < 0.001), but not CK (12% vs 10.1%, p = 0.635), was found in PD patients compared with control patients. Among patients with PD, those with CK were younger (62.1 vs 69.0 years, p = 0.013) and had longer duration of PD (56.4 vs 36.2 months, p = 0.034), but the severity of PD was not significantly different. Logistic regression analysis revealed that the presence of CK was associated with younger age, higher mismatch between pelvic incidence and lumbar lordosis, and lower C7–S1 SVA. The patients with CPSM had significantly greater thoracic kyphosis (TK) (p < 0.001) and a trend toward more advanced H&Y stage (p = 0.05). Logistic regression analysis revealed that CPSM was associated with male sex, greater TK, and more advanced H&Y stage. CONCLUSIONS Patients with PD have a significantly higher prevalence of CPSM compared with age- and sex-matched control patients with cervical degenerative disease but without PD. Among patients with PD, CK is not associated with the severity of PD but is associated with overall global sagittal malalignment. In contrast, the presence of CPSM is associated more with the severity of PD than it is with the presence of global sagittal malalignment. Collectively, these data suggest that the neuromuscular pathogenesis of PD may affect the development of CPSM more than of CK.

scholarly journals The Gray Matter Volume of the Amygdala Is Correlated with the Perception of Melodic Intervals: A Voxel-Based Morphometry Study

PLoS ONE ◽  
2014 ◽  
Vol 9 (6) ◽  
pp. e99889 ◽  
Author(s):  
Xueting Li ◽  
Alain De Beuckelaer ◽  
Jiahui Guo ◽  
Feilong Ma ◽  
Miao Xu ◽  
...  
Keyword(s):  
Gray Matter ◽  
Gray Matter Volume ◽  
Voxel Based Morphometry ◽  
Matter Volume

Effects of cumulative illness severity on hippocampal gray matter volume in major depression: a voxel-based morphometry study

2018 ◽  
Vol 48 (14) ◽  
pp. 2391-2398 ◽  
Author(s):  
Dario Zaremba ◽  
Verena Enneking ◽  
Susanne Meinert ◽  
Katharina Förster ◽  
Christian Bürger ◽  
...  
Keyword(s):  
Major Depression ◽  
Gray Matter ◽  
Gray Matter Volume ◽  
Principal Component ◽  
Hippocampal Volume ◽  
Illness Severity ◽  
Voxel Based Morphometry ◽  
Matter Volume ◽  
Duration Of Illness ◽  
Component Scores

AbstractBackgroundPatients with major depression show reduced hippocampal volume compared to healthy controls. However, the contribution of patients’ cumulative illness severity to hippocampal volume has rarely been investigated. It was the aim of our study to find a composite score of cumulative illness severity that is associated with hippocampal volume in depression.MethodsWe estimated hippocampal gray matter volume using 3-tesla brain magnetic resonance imaging in 213 inpatients with acute major depression according to DSM-IV criteria (employing the SCID interview) and 213 healthy controls. Patients’ cumulative illness severity was ascertained by six clinical variables via structured clinical interviews. A principal component analysis was conducted to identify components reflecting cumulative illness severity. Regression analyses and a voxel-based morphometry approach were used to investigate the influence of patients’ individual component scores on hippocampal volume.ResultsPrincipal component analysis yielded two main components of cumulative illness severity: Hospitalization and Duration of Illness. While the component Hospitalization incorporated information from the intensity of inpatient treatment, the component Duration of Illness was based on the duration and frequency of illness episodes. We could demonstrate a significant inverse association of patients’ Hospitalization component scores with bilateral hippocampal gray matter volume. This relationship was not found for Duration of Illness component scores.ConclusionsVariables associated with patients’ history of psychiatric hospitalization seem to be accurate predictors of hippocampal volume in major depression and reliable estimators of patients’ cumulative illness severity. Future studies should pay attention to these measures when investigating hippocampal volume changes in major depression.

Sign in / Sign up

Export Citation Format

Share Document