Anterior Temporal Atrophy and Posterior Progression in Patients with Parkinson's Disease

Potgieser, Adriaan R E; Hoorn, Anouk van der; Meppelink, Anne Marthe; Teune, Laura K.; Koerts, Janneke; Jong, Bauke M. de

doi:10.1159/000363245

Cited by 25 publications

(13 citation statements)

References 37 publications

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“…The dysfunction upstream to primary motor representations is further corroborated as the interaction effect of fMRI activity was controlled for performance and therefore cannot be explained by differences in motor output per se. The VBM analysis showed diminished grey matter volume in various inferior frontal and temporo-parietal brain regions as known from the literature (Borghammer et al, 2010, Postuma and Dagher, 2006, Potgieser et al, 2014). No diminished grey matter volume was found in the praxis relevant areas associated with the CR task.…”

Section: Discussionsupporting

confidence: 64%

Altered praxis network underlying limb kinetic apraxia in Parkinson's disease - an fMRI study

Kübel

Stegmayer

Vanbellingen

et al. 2017

NeuroImage: Clinical

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Parkinson's disease (PD) patients frequently suffer from dexterous deficits impeding activities of daily living. There is controversy whether impaired fine motor skill may stem from limb kinetic apraxia (LKA) rather than bradykinesia. Based on classical models of limb praxis LKA is thought to result when premotor transmission of time-space information of skilled movements to primary motor representations is interrupted. Therefore, using functional magnetic resonance imaging (fMRI) we tested the hypothesis that dexterous deficits in PD are associated with altered activity and connectivity in left parieto-premotor praxis network. Whole-brain analysis of fMRI activity during a task for LKA (coin rotation) showed increased activation of superior and inferior parietal lobule (SPL, IPL) and ventral premotor cortex (vPM) in PD patients compared to controls. For bradykinesia (assessed by finger tapping) a decreased fMRI activity could be detected in patients. Additionally, psychophysical interaction analysis showed increased functional connectivity between IPL and the posterior hippocampi in patients with PD. By contrast, functional connectivity to the right dorsolateral prefrontal cortex was decreased in patients with PD compared to controls.In conclusion, our data demonstrates that dexterous deficits in PD were associated with enhanced fMRI activation of the left praxis network upstream to primary motor areas, mirroring a neural correlate for the behavioral dissociation of LKA and bradykinesia. Furthermore, the findings suggest that patients recruit temporal areas of motor memory as an attempt to compensate for impaired motor skills. Finally, dysexecutive function may contribute to the deficit.

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Section: Discussionsupporting

confidence: 64%

Altered praxis network underlying limb kinetic apraxia in Parkinson's disease - an fMRI study

Kübel

Stegmayer

Vanbellingen

et al. 2017

NeuroImage: Clinical

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“…The most discriminant regional features selected by CCA includes “precentral gyrus”, “anterior cingulate and paracingulate gyri”, “hippocampus”, “precuneus”, “caudate nucleus”, and “postcentral gyrus”. Similarly, most of the extracted regional features are in line with the existing studies such as “hippocampus” (Burton et al, 2004; Potgieser et al, 2014; Camicioli et al, 2003), “precuneus” (Beyer and Aarsland, 2008), “caudate nucleus” (Corrigan et al, 1998), and “postcentral gyrus” (Song et al, 2011). …”

Section: Methodssupporting

confidence: 76%

“…As reported in (Hanakawa et al, 1999; Halliday, 2009), the PD patients reveal under-activation in precuneus and temporal cortex, and the pathology in thalamus also contribute to the abnormal neural activity characteristic of PD. In additional, temporal pole and hippocampal atrophy are reported as an early sign of PD in (Burton et al, 2004; Potgieser et al, 2014; Camicioli et al, 2003). In (González-Redondo et al, 2014) bilateral areas of atrophy in middle frontal gyrus and bilateral GM loss in medial-superior frontal are reported in PD patients.…”

Section: Methodsmentioning

confidence: 97%

Exploring diagnosis and imaging biomarkers of Parkinson’s disease via iterative canonical correlation analysis based feature selection

Liu

Wang

Adeli

et al. 2018

Computerized Medical Imaging and Graphics

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Parkinson's disease (PD) is a neurodegenerative disorder that progressively hampers the brain functions and leads to various movement and non-motor symptoms. However, it is difficult to attain early-stage PD diagnosis based on the subjective judgment of physicians in clinical routines. Therefore, automatic and accurate diagnosis of PD is highly demanded, so that the corresponding treatment can be implemented more appropriately. In this paper, we focus on finding the most discriminative features from different brain regions in PD through T1-weighted MR images, which can help the subsequent PD diagnosis. Specifically, we proposed a novel iterative canonical correlation analysis (ICCA) feature selection method, aiming at exploiting MR images in a more comprehensive manner and fusing features of different types into a common space. To state succinctly, we first extract the feature vectors from the gray matter and the white matter tissues separately, represented as insights of two different anatomical feature spaces for the subject's brain. The ICCA feature selection method aims at iteratively finding the optimal feature subset from two sets of features that have inherent high correlation with each other. In experiments we have conducted thorough investigations on the optimal feature set extracted by our ICCA method. We also demonstrate that using the proposed feature selection method, the PD diagnosis performance is further improved, and also outperforms many state-of-the-art methods.

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“…However, the widespread alterations could potentially be explained through a global process in which connectivity is altered in multiple networks irrespective of the specific network structure. Furthermore, close inspection of their network parcellation reveals a lack of the anterior and medial temporal lobe structures, which have been consistently implicated in cognitive impairment . While these studies provide evidence for the relationship of network dysfunction and cognitive impairment, none has explicitly linked this network dysfunction to the cognitive profiles suggested by the dual syndrome hypothesis.…”

mentioning

confidence: 91%

Network basis of the dysexecutive and posterior cortical cognitive profiles in Parkinson's disease

et al. 2019

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A BS TRACT: Background: The dual syndrome hypothesis of cognitive impairment in PD suggests that two cognitive profiles exist with distinct pathological mechanisms and a differential risk for further cognitive decline. How these profiles relate to network dysfunction has never been explicitly characterized. Objective: First, to assess intranetwork functional connectivity while considering global connectivity, and second, to relate network connectivity with measures of the dysexecutive and posterior cortical profiles. Methods: Eighty-two subjects with idiopathic PD and 37 age-matched controls underwent resting-state functional MRI and comprehensive neuropsychological assessment. Intranetwork and global connectivity was compared between groups. Measures of the dysexecutive and posterior cortical profiles were related to network connectivity while considering demographic and disease-related covariates. Results: PD subjects show decreased connectivity within several cortical networks. However, only the sensorimotor network displayed a loss of connectivity independent of the observed decreased global connectivity. The dysexecutive factor was independently related to increased motor severity, less education, and decreased connectivity in the sensorimotor network. The posterior cortical factor was related to increased age, less education, decreased connectivity in the central executive network, as well as increased connectivity in the temporal network. Conclusions: Our results provide evidence supporting a network-specific process of degeneration in the sensorimotor network which contributes to the dysexecutive cognitive profile. In contrast, connectivity of the temporal and central executive network is related to the posterior cortical profile, representing a distinct network signature of this syndrome.

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Anterior Temporal Atrophy and Posterior Progression in Patients with Parkinson's Disease

Cited by 25 publications

References 37 publications

Altered praxis network underlying limb kinetic apraxia in Parkinson's disease - an fMRI study

Altered praxis network underlying limb kinetic apraxia in Parkinson's disease - an fMRI study

Exploring diagnosis and imaging biomarkers of Parkinson’s disease via iterative canonical correlation analysis based feature selection

Network basis of the dysexecutive and posterior cortical cognitive profiles in Parkinson's disease

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