Voxel-wise meta-analysis of structural changes in gray matter of Parkinson’s disease patients with mild cognitive impairment

Qin, Bin; Yang, Manyi; Gao, Wenpeng; Zhang, J.D.; Zhao, Ling; Qin, He; Chen, H.

doi:10.1590/1414-431x20209275

Cited by 7 publications

(5 citation statements)

References 39 publications

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“…Atrophy in the frontotemporal areas was found in patients with MCI compared to healthy controls [ 20 , 39 ], and cognitive impairments are associated with gray matter loss in the areas [ 73 ]. Gray matter atrophy of cortical structures extending to the subcortical areas (e.g., insula and cerebellum) presents in the PD patients with MCI [ 11 , 74 ]. The subcortical structural deficits are functionally related to widespread cognitive functions [ 75 , 76 ].…”

Section: Discussionmentioning

confidence: 99%

“…More recently, investigators have used voxel-based morphometry (VBM) to investigate the morphometrics of the brain in PD patients. VBM is a voxel-wise imaging processing method of sMRI that allows detecting subtle morphological changes of gray matter across the whole brain and can quantify alterations in gray matter volume (GMV) in neurological disorders (e.g., PD) [ 11 ]. Using the VBM analysis, several studies have investigated neuroanatomical alternations in PD and cognitive impairments, showing widespread atrophy of GMV in the frontal, parietal, and temporal cortices [ 12 – 14 ], and subcortical structures, including the insula, cingulate gyrus, hippocampal gyrus, and cerebellum [ 12 , 13 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

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The structural changes of gray matter in Parkinson disease patients with mild cognitive impairments

Zhao

et al. 2022

PLoS ONE

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Objectives Parkinson disease (PD) is associated with cognitive impairments. However, the underlying neural mechanism of cognitive impairments in PD is still not clear. This study aimed to investigate the anatomic alternations of gray matter in PD patients with mild cognitive impairment (MCI) and their associations with neurocognitive measurements. Methods T1-weighted magnetic resonance imaging (MRI) data were acquired from 23 PD patients with MCI, 23 PD patients without MCI, and 23 matched healthy controls. The MRI data were analyzed using voxel-based morphometry (VBM) and surfaced-based morphometry (SBM) methods to assess the structural changes in gray matter volume and cortical thickness respectively. Receiver operating characteristic (ROC) analysis was used to examine the diagnostic accuracies of the indexes of interest. The correlations between the structural metrics and neurocognitive assessments (e.g., Montreal cognitive assessment, MOCA; Mini-mental state examination, MMSE) were further examined. Results PD patients with MCI showed reduced gray matter volume (GMV) in the frontal cortex (e.g., right inferior frontal gyrus and middle frontal gyrus) and extended to insula as well as cerebellum compared with the healthy controls and PD patients without MIC. Thinner of cortical thickens in the temporal lobe (e.g., left middle temporal gyrus and right superior temporal gyrus) extending to parietal cortex (e.g., precuneus) were found in the PD patients with MCI relative to the healthy controls and PD patients without MCI.ROC analysis indicated that the area under the ROC curve (AUC) values in the frontal, temporal, and subcortical structures (e.g., insula and cerebellum) could differentiate the PD patients with MCI and without MCI and healthy controls. Furthermore, GMV of the right middle frontal gyrus and cortical thickness of the right superior temporal gyrus were correlated with neurocognitive dysfunctions (e.g., MOCA and MMSE) in PD patients with MCI. Conclusion This study provided further evidence that PD with MCI was associated with structural alternations of brain. Morphometric analysis focusing on the cortical and subcortical regions could be biomarkers of cognitive impairments in PD patients.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The structural changes of gray matter in Parkinson disease patients with mild cognitive impairments

Zhao

et al. 2022

PLoS ONE

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“…Previous studies revealed that abnormal brain network activity in the temporal gyri was negatively correlated with the cognitive performances of PD-MCI patients (Gao et al, 2016 ; Fiorenzato et al, 2019 ). A voxelwise meta-analysis of PD-MCI suggested robust GM volume decreases in the temporal area (Qin et al, 2020 ), and hypometabolism of the temporal gyri was found in PD patients with cognitive decline (Tard et al, 2015 ). Therefore, abnormal functional activity of the temporal gyri could be a symptom of cognitive impairment in patients with PD.…”

Section: Methodsmentioning

confidence: 99%

Abnormal Neural Activity in Different Frequency Bands in Parkinson’s Disease With Mild Cognitive Impairment

Rong

Zhang

et al. 2021

Front. Aging Neurosci.

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Background: Abnormal spontaneous neural activity is often found in patients with Parkinson’s disease with mild cognitive impairment (PD-MCI). However, the frequency dependence of neuronal interaction activities, especially the fractional amplitude of low-frequency fluctuation (fALFF) and degree centrality (DC), in PD-MCI is still unclear. Thus, this study aimed to explore the frequency dependence of PD-MCI based on fALFF and DC maps.Methods: Twenty-four patients with PD-MCI, 42 PD patients with normal cognition (PD-NC), and 33 healthy controls (HCs) were enrolled. Neuropsychological assessments and resting-state functional MRI (rs-fMRI) were performed. The fALFF and DC values in the conventional, slow4 and slow5 frequency bands were compared among the groups.Results: In the conventional frequency band, the DC value in the left precentral area was decreased in PD-MCI patients, while that in the right fusiform area was increased in PD-NC patients compared with HCs. Regarding fALFFs, both the PD-MCI and PD-NC patients had decreased values in the right precentral area compared with those of the HCs. The fALFFs did not differ between PD-MCI and PD-NC patients. The fALFF results in the slow4 subfrequency band were consistent with those in the conventional frequency band. In the slow5 band, the DC value in the left middle temporal lobe was higher in PD-MCI patients than in PD-NC patients and was positively correlated with the performance of the PD-MCI patients on the Montreal Cognitive Assessment (MoCA). Additionally, both PD-MCI and PD-NC patients showed lower fALFF values in the bilateral putamen than the HCs, and the fALFF in the bilateral putamen was negatively correlated with the Hoehn and Yahr stages of PD-MCI. The fALFF in the left putamen was negatively correlated with the scores of PD-MCI patients on the Movement Disorder Society-Unified Parkinson Disease Rating Scale Part III (MDS-UPRDS-III).Conclusion: Our results suggested that abnormal neuronal activities, such as fALFF and DC, are dependent on frequency in PD-MCI. Some subfrequency bands could distinguish PD-MCI from PD. Our findings may be helpful for further revealing the frequency-dependent resting functional disruption in PD-MCI.

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“…Our results are in line with previous structural and functional studies that already pointed to the abnormalities of the left STG in PD ( Wiesman et al, 2016 ; Suo et al, 2017 ; Gargouri et al, 2019 ; Yang et al, 2021 ). Similarly, a previous meta-analysis showed that PD with mild cognitive impairment (PD-MCI) had a robust GM decrease in the left STG ( Qin et al, 2020 ). The GM volume of posterior STG was negatively linked to diadochokinetic (DDK) irregularity in PD with hypokinetic dysarthria ( Klobusiakova et al, 2021 ).…”

Section: Discussionmentioning

confidence: 70%

Aberrant Changes in Cortical Complexity in Right-Onset Versus Left-Onset Parkinson’s Disease in Early-Stage

Zhou

Shen

Liao

et al. 2021

Front. Aging Neurosci.

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There is increasing evidence to show that motor symptom lateralization in Parkinson’s disease (PD) is linked to non-motor features, progression, and prognosis of the disease. However, few studies have reported the difference in cortical complexity between patients with left-onset of PD (LPD) and right-onset of PD (RPD). This study aimed to investigate the differences in the cortical complexity between early-stage LPD and RPD. High-resolution T1-weighted magnetic resonance images of the brain were acquired in 24 patients with LPD, 34 patients with RPD, and 37 age- and sex-matched healthy controls (HCs). Cortical complexity including gyrification index, fractal dimension (FD), and sulcal depth was analyzed using surface-based morphometry via CAT12/SPM12. Familywise error (FWE) peak-level correction at p < 0.05 was performed for significance testing. In patients with RPD, we found decreased mean FD and mean sulcal depth in the banks of the left superior temporal sulcus (STS) compared with LPD and HCs. The mean FD in the left superior temporal gyrus (STG) was decreased in RPD compared with HCs. However, in patients with LPD, we did not identify significantly abnormal cortical complex change compared with HCs. Moreover, we observed that the mean FD in STG was negatively correlated with the 17-item Hamilton Depression Scale (HAMD) among the three groups. Our findings support the specific influence of asymmetrical motor symptoms in cortical complexity in early-stage PD and reveal that the banks of left STS and left STG might play a crucial role in RPD.

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Voxel-wise meta-analysis of structural changes in gray matter of Parkinson’s disease patients with mild cognitive impairment

Cited by 7 publications

References 39 publications

The structural changes of gray matter in Parkinson disease patients with mild cognitive impairments

The structural changes of gray matter in Parkinson disease patients with mild cognitive impairments

Abnormal Neural Activity in Different Frequency Bands in Parkinson’s Disease With Mild Cognitive Impairment

Aberrant Changes in Cortical Complexity in Right-Onset Versus Left-Onset Parkinson’s Disease in Early-Stage

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