Cognitive Impairment in Multiple System Atrophy Is Related to White Matter Damage Detected by the T1-Weighted/T2-Weighted Ratio

2021 ◽  
pp. 1-9
Author(s):  
Atsuhiko Sugiyama ◽  
Graham Cooper ◽  
Shigeki Hirano ◽  
Hajime Yokota ◽  
Masahiro Mori ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
White Matter ◽  
Multiple System Atrophy ◽  
Gray Matter ◽  
Rating Scale ◽  
Multiple Logistic Regression Analysis ◽  
Cognitively Impaired ◽  
White Matter Damage ◽  
Mri Contrast ◽  
The Relationship

<b><i>Introduction:</i></b> This study aimed to use a novel MRI contrast, the standardized T1-weighted/T2-weighted (sT1w/T2w) ratio, to assess damage of the white matter and gray matter in multiple system atrophy (MSA). Furthermore, this study investigated whether the sT1w/T2w ratio was associated with cognitive impairment in MSA. <b><i>Methods:</i></b> The white matter and gray matter sT1w/T2w ratio of 37 MSA patients and 19 healthy controls were measured. Correlation analyses were used to evaluate the relationship between sT1w/T2w ratio values and clinical variables, and a multivariate analysis was used to identify independent factors associated with cognitive impairment in MSA. <b><i>Results:</i></b> MSA patients showed a higher white matter sT1w/T2w ratio value than controls (<i>p</i> &#x3c; 0.001), and the white matter sT1w/T2w ratio value was significantly correlated with the International Cooperative Ataxia Rating Scale score (<i>r</i> = 0.377, <i>p</i> = 0.021) and the Addenbrooke’s cognitive examination III score (<i>r</i> = −0.438, <i>p</i> = 0.007). Cognitively impaired MSA patients had a significantly higher white matter sT1w/T2w ratio value than cognitively preserved MSA patients (<i>p</i> = 0.010), and the multiple logistic regression analysis revealed that the median white matter sT1w/T2w ratio value was independently associated with cognitive impairment in MSA. <b><i>Conclusion:</i></b> The sT1w/T2w ratio is sensitive to degenerative changes in the white matter that is associated with cognitive ability in MSA patients.

Cognitive impairment in paediatric multiple sclerosis patients is not related to cortical lesions

2014 ◽  
Vol 21 (7) ◽  
pp. 956-959 ◽  
Author(s):  
Maria A Rocca ◽  
Ermelinda De Meo ◽  
Maria P Amato ◽  
Massimiliano Copetti ◽  
Lucia Moiola ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
White Matter ◽  
Grey Matter ◽  
Cognitively Impaired ◽  
Grey Matter Volume ◽  
Cortical Lesions ◽  
White Matter Volume ◽  
White Matter Damage ◽  
Matter Volume ◽  
Multiple Sclerosis Patients

We investigated the contribution of cortical lesions to cognitive impairment in 41 paediatric MS patients. Thirteen (32%) paediatric MS patients were considered as cognitively impaired. T2-hyperintense and T1-hypointense white matter lesion volumes did not differ between cognitively impaired and cognitively preserved MS patients. Cortical lesions number, cortical lesions volume and grey matter volume did not differ between cognitively impaired and cognitively preserved patients, whereas white matter volume was significantly lower in cognitively impaired versus cognitively preserved MS patients ( p=0.01). Contrary to adult MS, cortical lesions do not seem to contribute to cognitive impairment in paediatric MS patients, which is likely driven by white matter damage.

scholarly journals Anosognosia in People with Cognitive Impairment: Association with Cognitive Deficits and Behavioral Disturbances

2015 ◽  
Vol 5 (1) ◽  
pp. 42-50 ◽  
Author(s):  
Antonella De Carolis ◽  
Virginia Cipollini ◽  
Valentina Corigliano ◽  
Anna Comparelli ◽  
Micaela Sepe-Monti ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Cognitive Deficits ◽  
Rating Scale ◽  
Motor Behavior ◽  
Psychiatric Symptoms ◽  
Early Stage ◽  
Functional Anatomy ◽  
Night Time ◽  
Behavioral Disturbances ◽  
The Relationship

Aims: To investigate, in a group of subjects at an early stage of cognitive impairment, the relationship between anosognosia and both cognitive and behavioral symptoms by exploring the various domains of insight. Methods: One hundred and eight subjects affected by cognitive impairment were consecutively enrolled. The level of awareness was evaluated by means of the Clinical Insight Rating Scale (CIRS). Psychiatric symptoms were evaluated using the Italian version of the Neuropsychiatric Inventory (NPI), whereas memory (memory index, MI) and executive (executive index, EI) functions were explored using a battery of neuropsychological tests and qualified by means of a single composite cognitive index score for each function. Results: A significant positive correlation between the total NPI score and global anosognosia score was found. Furthermore, both the MI and EI scores were lower in subjects with anosognosia than in those without anosognosia (p < 0.001 and p < 0.007, respectively). When the single domains of the CIRS were considered, anosognosia of reason of visit correlated with the EI score (r = -0.327, p = 0.01) and night-time behavioral disturbances (r = 0.225; p = 0.021); anosognosia of cognitive deficit correlated with depression (r = -0.193; p = 0.049) and the MI score (r = -0.201; p = 0.040); anosognosia of functional deficit correlated with the MI score (r = -0.257; p = 0.008), delusions (r = 0.232; p = 0.015) and aberrant motor behavior (r = 0.289; p = 0.003); anosognosia of disease progression correlated with the MI score (r = -0.236; p = 0.015), agitation (r = 0.247; p = 0.011), aberrant motor behavior (r = 0.351; p = 0.001) and night-time behavioral disturbances (r = 0.216; p = 0.027). Conclusions: Our study suggests that, in the early stage of cognitive impairment, anosognosia is associated with both cognitive deficits and behavioral disorders according to the specific functional anatomy of the symptoms.

NODDI microstructural abnormalities in normal-appearing gray matter and white matter contribute to cognitive impairment in multiple sclerosis

2021 ◽  
Vol 429 ◽  
pp. 118088
Author(s):  
Paolo Preziosa ◽  
Lorenzo Conti ◽  
Elisabetta Pagani ◽  
Olga Marchesi ◽  
Maria Rocca ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Cognitive Impairment ◽  
White Matter ◽  
Gray Matter

Abstract TP442: Periventricular Not Deep White Matter Hyperintensities Are Associated With Vascular Cognitive Impairment

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Yan Chen ◽  
Renyuan Liu ◽  
Shuwei Qiu ◽  
Yun Xu
Keyword(s):  
Regression Analysis ◽  
Cognitive Impairment ◽  
White Matter ◽  
Linear Regression ◽  
Cognitive Performance ◽  
White Matter Hyperintensities ◽  
Rating Scale ◽  
Linear Regression Analysis ◽  
Vascular Cognitive Impairment ◽  
Cerebral White Matter

Introduction: Cerebral White matter hyperintensities(WMH) are frequent findings on MRI scan. They are well known to correlate with vascular cognitive impairment(VCI). However, controversies still remain about the relationship between WMH locations and cognitive function across studies. Hypothesis: Periventricular WMHs(PWH) rather than deep WMHs(DWH) are associated with cognitive decline in VCI. Methods: Fifty-nine subjects with WMHs on MRI were divided into three groups, normal control(NC), mild cognitive impairment(MCI) and vascular dementia(VaD), according to clinical manifestation and neuropsychological performance. WMH volumes were evaluated by Fazekas rating scale and segmental volumetric. Correlations between cognitive performance and WMH volumes were determined in virtue of Spearman correlation analysis. Receiver operator characteristic (ROC) curves were generated to define the classification cut-off value of WMH volumes for distinguishing VCI versus normal controls. Multiple linear regression analysis was used to predict cognitive performance with WMH volumes and locations after adjusting for sex ,age and education level. Results: Cognitive capacities were gradually declined from NC through MCI to VaD patients while WMH volumes and Fazekas scores altered oppositely. Both PWH and DWH volumes and Fazekas scores were correlated with cognitive performance, and moreover, WMH volumes were correlated with Fazekas scores. ROC analysis showed a cut-off value of PWH rather than DWH to distinguish VCI from NC(AUC=0.745 and 0.635, p =0.001 and 0.076, respectively). Linear regression analysis demonstrated that only PWH volumes were associated with cognitive performance( p < 0.001). Conclusion: Our study demonstrate that PWHs are independent predictors for vascular contribution in white matter lesions and suggest clinicians that PWH should be emphasized on evaluating vascular cognitive impairment related with white matter load.

scholarly journals An Assessment of the Relationship between Structural and Functional Imaging of Cerebrovascular Disease and Cognition-Related Fibers

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Xiaoping Tang ◽  
Xinlan Xiao ◽  
Jianhua Yin ◽  
Ting Yang ◽  
Bingliang Zeng
Keyword(s):  
Cognitive Impairment ◽  
White Matter ◽  
Cerebrovascular Disease ◽  
Cognitive Dysfunction ◽  
Functional Imaging ◽  
Small Vessel Disease ◽  
White Matter Lesions ◽  
Cerebral Small Vessel Disease ◽  
Vessel Disease ◽  
The Relationship

In order to assess the relationship between structural and functional imaging of cerebrovascular disease and cognition-related fibers, this paper chooses a total of 120 patients who underwent cerebral small vessel disease (CSVD) treatment at a designated hospital by this study from June 2013 to June 2018 and divides them into 3 groups according to the random number table method: vascular dementia (VaD) group, vascular cognitive impairment no dementia (VCIND) group, and noncognition impairment (NCI) group with 40 cases of patients in each group. Cognitive function measurement and imaging examination were performed for these 3 groups of patients, and the observation indicators of cognitive state examination (CSE), mental assessment scale (MAS), clock drawing test (CDT), adult intelligence scale (AIS), frontal assessment battery (FAB), verbal fluency test (VFT), trail making test (TMT), cognitive index (CI), white matter lesions (WML), third ventricle width (TVW), and frontal horn index (FHI) were tested, respectively. The results shows that the average scores of CSE, MAS, AIS, and VFT in the VaD and VCIND group are lower than those of the NCI group and the differences are statistically significant (P<0.05); the average scores of FAB, TMT, and CI in the VaD group are higher than those of the VCIND group and the differences are also statistically significant (P<0.05); the average scores of FHI and TVW in the VaD group are lower than those of the VCIND and NCI group with statistically significant differences (P<0.05); the average scores of WML, CDT, and AIS in the VaD group are higher than those of the VCIND and NCI group with statistically significant differences (P<0.05). Therefore, it is believed that the structural and functional imaging features of cerebrovascular disease are closely related to cognition-related fibers, and the incidence of white matter lesions is closely related to the degree of lesions and cognitive dysfunction of cerebral small vessel disease, in which a major risk factor for cognitive dysfunction in patients with small blood vessels is the severity of white matter lesions; brain imaging and neuropsychiatric function assessment can better understand the relationship between cerebrovascular disease and cognitive impairment. The results of this study provide a reference for the further research studies on the relationship between structural and functional imaging of cerebrovascular disease and cognition-related fibers.

P4-135: Mild cognitive impairment in Parkinson's disease is associated with white matter damage

2011 ◽  
Vol 7 ◽  
pp. S751-S751
Author(s):  
Elisa Canu ◽  
Federica Agosta ◽  
Lidia Sarro ◽  
Elka Stefanova ◽  
Aleksandra Tomic ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
White Matter ◽  
White Matter Damage

Gray matter trophism, cognitive impairment, and depression in patients with multiple sclerosis

2017 ◽  
Vol 23 (14) ◽  
pp. 1864-1874 ◽  
Author(s):  
Emanuele Pravatà ◽  
Maria A Rocca ◽  
Paola Valsasina ◽  
Gianna C Riccitelli ◽  
Claudio Gobbi ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Cognitive Impairment ◽  
Gray Matter ◽  
Rating Scale ◽  
Three Dimensional ◽  
Emotional Behavior ◽  
Cortical Atrophy ◽  
Lesion Volume ◽  
Cortical Thinning ◽  
C Statistic

Background: Cognitive impairment and depression frequently affects patients with multiple sclerosis (MS). However, the relationship between the occurrence of depression and cognitive impairment and the development of cortical atrophy has not been fully elucidated yet. Objectives: To investigate the association of cortical and deep gray matter (GM) volume with depression and cognitive impairment in MS. Methods: Three-dimensional (3D) T1-weighted scans were obtained from 126 MS patients and 59 matched healthy controls. Cognitive impairment was assessed using the Brief Repeatable Battery of Neuropsychological Tests and depression with the Montgomery-Asberg Depression Rating Scale (MADRS). Using FreeSurfer and FIRST software, we assessed cortical thickness (CTh) and deep GM volumetry. Magnetic resonance imaging (MRI) variables explaining depression and cognitive impairment were investigated using factorial and classification analysis. Multivariate regression models correlated GM abnormalities with symptoms severity. Results: Compared with controls, MS patients exhibited widespread bilateral cortical thinning involving all brain lobes. Depressed MS showed selective CTh decrease in fronto-temporal regions, whereas cognitive impairment MS exhibited widespread fronto-parietal cortical and subcortical GM atrophy. Frontal cortical thinning was the best predictor of depression ( C-statistic = 0.7), whereas thinning of the right precuneus and high T2 lesion volume best predicted cognitive impairment ( C-statistic = 0.8). MADRS severity correlated with right entorhinal cortex thinning, whereas cognitive impairment severity correlated with left entorhinal and thalamus atrophy. Conclusion: MS-related depression is linked to circumscribed CTh changes in areas deputed to emotional behavior, whereas cognitive impairment is correlated with cortical and subcortical GM atrophy of circuits involved in cognition.

Patterns of cerebral white matter damage and cognitive impairment in adolescents born very preterm

2008 ◽  
Vol 26 (7) ◽  
pp. 647-654 ◽  
Author(s):  
Sara Soria‐Pastor ◽  
Monica Gimenez ◽  
Ana Narberhaus ◽  
Carles Falcon ◽  
Francesc Botet ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
White Matter ◽  
Cerebral White Matter ◽  
White Matter Damage ◽  
Very Preterm
Sign in / Sign up

Export Citation Format

Share Document