Brain MRI Reveals Ascending Atrophy in Parkinson's Disease Across Severity

Blair, Jamie C.; Barrett, Matthew J.; Patrie, James T.; Flanigan, Joseph L.; Sperling, Scott A.; Elias, W. Jeffrey; Druzgal, T. Jason

doi:10.3389/fneur.2019.01329

Cited by 19 publications

(22 citation statements)

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“…Zhang et al, 2018). PD reveals selective loss of neurons and brain atrophy, especially in gray matter, and some subcortical regions have declined GMV and GMD (Blair et al, 2019;Fioravanti et al, 2015;Lewis et al, 2016;Mak et al, 2014;Samii et al, 2004). We examined relationships between FE and GMV, GMD, WMV and WMD and the results are consistent with previous studies.…”

Section: Potential Explanations For the Altered Complexity In Pd And Ppdsupporting

confidence: 83%

“…GM atrophy in PD has been reported (Blair et al, 2019;Fioravanti et al, 2015;Lewis et al, 2016;Mak, Bergsland, Dwyer, Zivadinov, & Kandiah, 2014;L. Zhang et al, 2018), to explore more information about brain atrophy and its effects, a VBM analysis of structural images was performed using SPM12.…”

Section: Voxel-based Morphometry Analysismentioning

confidence: 99%

“…These results hint at a compensation mechanism in the progression of Parkinson's disease. GMD can be regarded as a downstream proxy for potential mechanisms of neurodegeneration in PD (Blair et al, 2019) and GM atrophy may be indirect evidence for altered complexity in PD and PPD patients.…”

Section: Potential Explanations For the Altered Complexity In Pd And Ppdmentioning

confidence: 99%

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Frequency-dependent Alterations in Complexity in Parkinson’s Disease and Prodromal Parkinson’s Disease: A Resting-State fMRI Study

Xiang

Cheng

Chen

et al. 2021

Preprint

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Parkinson’s disease manifests principally as resting tremor, rigidity, akinesia and postural instability and exhibits deficits in information-processing tasks and abnormalities in the striatum. Human brain is one of the most complex information processing systems and resting-state fMRI signals, which possess complex nonlinear dynamic properties, have been extensively applied to study changes in brain function. However, it remains unclear whether patients with Parkinson’s disease and prodromal Parkinson’s disease have an abnormal complexity in resting-state fMRI signals and whether the abnormalities are frequency band dependent. Therefore, we investigated the complexity of signals in 47 patients with Parkinson’s disease, 26 patients with prodromal Parkinson’s disease and 21 normal controls within four frequency bands with Fuzzy Entropy. After preprocessing, entropy maps of the whole brain were extracted within four different frequency bands. Then we performed a one-way analysis of variance and results in slow-2 and slow-3 bands revealed that Parkinson’s disease patients exhibited higher complexity than those with prodromal Parkinson’s disease and normal controls. Prodromal Parkinson’s disease patients exhibited lower complexity than normal controls. Significant differences were observed mainly in the precentral gyrus , precuneus, caudate, thalamus and superior frontal gyrus. Significant correlations were found between the Fuzzy Entropy and clinical characteristics, regional homogeneity, gray matter volume and gray matter density. The results indicated that Parkinson’s disease and prodromal Parkinson’s disease patients had abnormal intrinsic neural oscillations, mainly in slow-3 and slow-2 bands, depending on frequency bands. Complexity analysis of resting-state fMRI signals in multiple bands can help probe brain activity and pathophysiology of neurodegenerative diseases.

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Section: Potential Explanations For the Altered Complexity In Pd And Ppdsupporting

confidence: 83%

Section: Voxel-based Morphometry Analysismentioning

confidence: 99%

See 1 more Smart Citation

Frequency-dependent Alterations in Complexity in Parkinson’s Disease and Prodromal Parkinson’s Disease: A Resting-State fMRI Study

Xiang

Cheng

Chen

et al. 2021

Preprint

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“…Freezing of gait symptomatology in PD was associated with posterior GM atrophy (specifically, left cuneus, precuneus, lingual gyrus, and posterior cingulate cortex) ( 27 ). In advanced PD, atrophy in the subcortical GM structures was found to be more pronounced vs. those in early PD stages ( 31 ) ( Figure 2 ).…”

Section: Structural Neuroimaging In Parkinsonian Disordersmentioning

confidence: 96%

Neuroimaging Advances in Parkinson's Disease and Atypical Parkinsonian Syndromes

2020

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“…To the best of our knowledge, no previous study had shown a direct correlation between the degree of accumulated neural deposit and structural atrophy in PD patients. Furthermore, pathological confirmation is rarely used for diagnosing PD, and there is currently no method for quantifying alpha‐synuclein aggregates in living human patients 33,34 . Hence, it is difficult to consider the reduced hippocampal volume observed in this study as direct evidence of a more severe phenotype or degeneration status in PD patients.…”

Section: Discussionmentioning

confidence: 90%

Hippocampal volume is related to olfactory impairment in Parkinson's disease

Roh

Kang

Koh

et al. 2021

Journal of Neuroimaging

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Background and Purpose: Recent evidence has suggested that hyposmia in patients with Parkinson's disease (PD) may be due to impaired central processing. Furthermore, the hippocampus has been regarded as a critical structure linking olfactory impairment and cognitive impairment in PD patients. This study aimed to identify significant structural alterations of the hippocampus in PD patients with hyposmia, and to determine whether these structural changes are significantly associated with olfactory impairment severity. Methods:Eighteen idiopathic PD patients with hyposmia and 18 age-and sex-matched PD patients without hyposmia were enrolled. Hippocampal volume and its subfields were measured using FreeSurfer software and compared between hyposmic and normosmic PD patients. We also compared hippocampal substructures' volumes and correlated the hippocampal volumes with hyposmia severity.Results: PD patients with hyposmia had significantly smaller hippocampal volumes.Among the three components of the hippocampus, the hippocampal body showed a markedly lower volume, which correlated significantly with the cross-cultural smell identification test score that represents olfactory function status. Hippocampal subfield analysis showed that substructures (subiculum, molecular layer) that constitute the hippocampal body showed the most significant volume difference. Conclusions:We suggest that atrophy of the bilateral hippocampus implies underlying problems in the central olfaction process in PD patients. In particular, the hippocampus might not only play a critical role in olfaction but could also be important for elucidating possible mechanisms of broad nonmotor symptoms in PD patients.

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Brain MRI Reveals Ascending Atrophy in Parkinson's Disease Across Severity

Cited by 19 publications

References 100 publications

Frequency-dependent Alterations in Complexity in Parkinson’s Disease and Prodromal Parkinson’s Disease: A Resting-State fMRI Study

Frequency-dependent Alterations in Complexity in Parkinson’s Disease and Prodromal Parkinson’s Disease: A Resting-State fMRI Study

Neuroimaging Advances in Parkinson's Disease and Atypical Parkinsonian Syndromes

Hippocampal volume is related to olfactory impairment in Parkinson's disease

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