Patterns of cortical thickness and surface area in early Parkinson's disease

Jubault, Thomas; Gagnon, Jean‐François; Karama, Sherif; Ptito, Alain; Lafontaine, Anne‐Louise; Evans, Alan C.; Monchi, Oury

doi:10.1016/j.neuroimage.2010.12.043

Cited by 169 publications

(138 citation statements)

References 63 publications

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“…The finding was consistent with Jubault et al (2011), who found no significant difference in thickness of sensory cortex (Jubault et al, 2011). On the other hand, the finding disagreed with Pereira et al (2012) who found cortical thinning in postcentral area in patients (Pereira et al, 2012), and with Koshimori et al (2015), who found thickness reduction in left postcentral area (Koshimori et al, 2015).…”

Section: Thickness Of Sensory Cortexsupporting

confidence: 80%

“…However, PD is a network disorder and is known to involve almost the whole brain (Braak et al, 2003). Despite less vulnerable cortical structures gradually become affected as the disease progresses, several recent MR-based imaging analyses of PD revealed that cortical atrophy exists even in early stages of disease development (Jubault et al, 2011). Among several other methods, cortical thickness analysis has been introduced as an effort to overcome the difficulties in analysis of highly convoluted cerebral cortex and have demonstrated focal cortical thinning pattern in neurologic diseases.…”

Section: Thickness Of Motor Cortexmentioning

confidence: 99%

“…However, another study found decreased GM volume in the frontal, parietal and temporal cortices of PD patients compared with matched healthy controls, and that the increased cognitive dysfunction was associated with more pronounced GM atrophy (Song et al, 2011). Other studies have shown that cortical thinning occurs in PD (Lyoo et al, 2010) and that it is associated with disease duration (Jubault et al, 2011).…”

Section: Introductionmentioning

confidence: 96%

See 2 more Smart Citations

Structural alteration of motor and sensory cortices in Parkinson’s disease using magnetic resonance imaging: Automatic brain segmentation

Shareef¹

2018

Int. j. adv. appl. sci.

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Parkinson's disease (PD) is a neurodegenerative disorder commonly diagnosed as motor triad of symptoms including tremor, rigidity and bradykinesia. The degeneration of the Substantia nigra in PD, leads to alterations in the function of cortical areas including primary motor cortex and other non-primary motor areas. The combination of motor and sensory symptoms marked in PD, is the cause of investigating the structural changes of motor and sensory cortices in PD. The aim of this study is to detect the structural changes of cortical thickness and the volume of grey matter and white matter in motor and sensory cortices in PD. This will help in early detection of the disease, monitor response to medication or help in prognosis and prediction of outcomes. Nineteen control volunteers and 18 Parkinson's patients were participated in the study. The ages of participants were ranging between 45-65 years (mean 56.14 years). Structural magnetic resonance imaging was performed and the Digital Imaging and Communications in Medicine (DICOM) images were evaluated using automatic brain segmentation software (BrainSuite). The structural changes in the present study were found in the thickness of the motor cortex and in the volume of grey matter (GM) of the sensory cortex. The thickness of the right motor cortex for males was smaller in Parkinson's patients than control. The volume of the GM of left sensory cortex for males was smaller in Parkinson's patients than control. While no differences were found between Patients and controls in the volume of GM or white matter (WM) in the motor cortex, or in the volume of WM and the cortical thickness in the sensory cortex. Structural changes in specific areas of the brain may influence specific symptoms.

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Section: Thickness Of Sensory Cortexsupporting

confidence: 80%

Section: Thickness Of Motor Cortexmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

See 1 more Smart Citation

Structural alteration of motor and sensory cortices in Parkinson’s disease using magnetic resonance imaging: Automatic brain segmentation

Shareef¹

2018

Int. j. adv. appl. sci.

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“…Additional study to explore a possible linear relationship between the level of albuminuria and CTh is desirable. Third, we did not use a commonly used case-control method to compare differences in regional CTh [49][50][51] , as we studied a relatively homogeneous group of participants without any known neurodegenerative diseases or significant medical illness. Moreover, we focused on a potential preclinical association between kidney function changes and CTh.…”

Section: Discussionmentioning

confidence: 99%

[P3–344]: Effect of Kidney Dysfunction on Cerebral Cortical Thinning in an Elderly Population

Chen

Chiu

et al. 2017

Alzheimer's & Dementia

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Chronic kidney disease has been linked to cognitive impairment and morphological brain change. However, less is known about the impact of kidney functions on cerebral cortical thickness. This study investigated the relationship between kidney functions and global or lobar cerebral cortical thickness (CTh) in 259 non-demented elderly persons. Forty-three participants (16.7%) had kidney dysfunction, which was defined as either a glomerular filtration rate (GFR) of <60 ml/min/1.73 m 2 or presence of proteinuria. Kidney dysfunction was associated with lower global (β = −0.05, 95% CI = −0.08 to −0.01) as well as frontal, parietal, temporal, occipital, and insular lobar CTh. In the stratified analysis, the associations were more pronounced in women, APOEε4 non-carriers, and participants with a lower cognitive score. Besides, kidney dysfunction significantly increased the risk of cortical thinning, defined as being the lowest CTh tertile, in the insular lobe (adjusted odds ratio = 2.74, 95% CI = 1.31−5.74). Our results suggested that kidney dysfunction should be closely monitored and managed in elderly population to prevent neurodegeneration.The worldwide incidence and prevalence of dementia is increasing rapidly in persons of advanced age, which results in a huge global disease burden 1 . Currently, it is estimated that 46.8 million people worldwide are living with dementia, although in some developed countries the prevalence is gradually lowering possibly due to higher education levels and better control of cardiovascular risk factors 2, 3 . Long before clinically evident dementia-related functional impairment, generalized brain atrophy progresses gradually and asymptomatically with age, beginning at middle age 4 . Therefore, it is important to identify potentially preventable factors related to brain atrophy during the subclinical phase. Consequently, the structural neuroimaging, among various potential biomarkers for dementia, serves most closely temporal relationship with the onset of clinically detectable cognitive impairment 5 . The most commonly applied structural neuroimaging technique is magnetic resonance imaging (MRI). In various MRI imaging sequences, physicians can use three-dimensional T1-weighted images that clearly delineate the volume, shape, and thickness of the respective cerebral cortex. Specifically, the volume of cortical regions is a composite measure related to both thickness and surface area. In these two morphometric parameters, cortical thickness more closely reflects pathological changes related to dementia, such as laminar thinning and neuronal loss, while volume loss is largely the result of a reduction in surface area during normal aging 6 .Several factors have been linked to dementia, such as age, sex, education, apolipoprotein E (APOE) ε4 status, and various cardiovascular risk factors such as hypertension, diabetes mellitus, metabolic syndrome, and stroke 7 . In recent years, brain-kidney interaction is increasingly emphasized. Chronic kidney disease (CKD) and

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“…White matter, which has lower water concentration and higher myelin concentration, is indicated by relatively high signal intensity on T1-weighted images (17). Regional cortical thinning has been extensively studied using cortical thickness analysis, and is a valuable imaging marker for AD, frontotemporal lobar degeneration, Lewy body disease, and other neurodegenerative diseases (7,(18)(19)(20)(21)(22)(23)(24). Longitudinal evaluation of cortical thinning is a potential tool for treatment response evaluation and for monitoring clinical progression of AD (25,26).…”

Section: Discussionmentioning

confidence: 99%

Intra-Rater and Inter-Rater Reliability of Brain Surface Intensity Model (BSIM)-Based Cortical Thickness Analysis Using 3T MRI

Jeon

Moon

et al. 2015

Investig Magn Reson Imaging

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Patterns of cortical thickness and surface area in early Parkinson's disease

Cited by 169 publications

References 63 publications

Structural alteration of motor and sensory cortices in Parkinson’s disease using magnetic resonance imaging: Automatic brain segmentation

Structural alteration of motor and sensory cortices in Parkinson’s disease using magnetic resonance imaging: Automatic brain segmentation

[P3–344]: Effect of Kidney Dysfunction on Cerebral Cortical Thinning in an Elderly Population

Intra-Rater and Inter-Rater Reliability of Brain Surface Intensity Model (BSIM)-Based Cortical Thickness Analysis Using 3T MRI

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