Action and emotion perception in Parkinson’s disease: A neuroimaging meta-analysis

Arioli, Maria; Cattaneo, Zaira; Rusconi, Maria Luisa; Blandini, Fabio; Tettamanti, Marco

doi:10.1016/j.nicl.2022.103031

Cited by 3 publications

(2 citation statements)

References 148 publications

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“…Early-stage PD does not disrupt the association between the motor profiles of two marital dyad components, but this disruption progressively occurs with the progression of the disease’s symptoms. Interestingly, it has been shown that persons with PD have a decreased response in the basal ganglia and the mirror system, hypothesising that this reduced activation may be related to a disruption of the cognitive resonance mechanisms, thus impairing the perception of others’ actions [ 52 ].…”

Section: Discussionmentioning

confidence: 99%

Association of 7-Day Profiles of Motor Activity in Marital Dyads with One Component Affected by Parkinson’s Disease

Rabuffetti

Giovannini²,

Carpinella

et al. 2023

Sensors

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(1) Background: A noticeable association between the motor activity (MA) profiles of persons living together has been found in previous studies. Social actigraphy methods have shown that this association, in marital dyads composed of healthy individuals, is greater than that of a single person compared to itself. This study aims at verifying the association of MA profiles in dyads where one component is affected by Parkinson’s disease (PD). (2) Methods: Using a wearable sensor-based social actigraphy approach, we continuously monitored, for 7 days, the activities of 27 marital dyads including one component with PD. (3) Results: The association of motor activity profiles within a marital dyad (cross-correlation coefficient 0.344) is comparable to the association of any participant with themselves (0.325). However, when considering the disease severity quantified by the UPDRS III score, it turns out that the less severe the symptoms, the more associated are the MA profiles. (4) Conclusions: Our findings suggest that PD treatment could be improved by leveraging the MA of the healthy spouse, thus promoting lifestyles also beneficial for the component affected by PD. The actigraphy approach provided valuable information on habitual functions and motor fluctuations, and could be useful in investigating the response to treatment.

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Section: Discussionmentioning

confidence: 99%

Association of 7-Day Profiles of Motor Activity in Marital Dyads with One Component Affected by Parkinson’s Disease

Rabuffetti

Giovannini²,

Carpinella

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…A meta-analysis based on neuroimaging studies revealed that activation in the basal ganglia (putamen and pallidum) in PD patients decreased, along with a trend of reduced activity in the mirror system. This reduction in activation might be associated with the disruption of cognitive resonance mechanisms, potentially causes impairments in perception of others' emotions and behaviors [17]. A voxel-based morphometry (VBM) longitudinal study in multiple system atrophy revealed that shorter disease duration in PD is connected with progressive atrophy in the striatum, while longer disease duration correlates with increased atrophy in the cerebellum, which suggests that early degeneration of the basal ganglia might lead to subsequent cortical atrophy in the cerebellum [18].…”

Section: Introductionmentioning

confidence: 99%

MRI-based Differentiation of Parkinson's Disease by Cerebellar Gray Matter Volume

Zhao,

Tian,

Guo

et al. 2024

Preprint

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Background The underlying mechanism of Parkinson's disease is associated with the neurodegeneration of the basal ganglia, the cerebellum plays a significant role together with the basal ganglia in non-motor and motor functions. Morphological changes in the cerebellum can have a great impact on patients' clinical symptoms, especially on their motor control symptoms, and may also help distinguish patients from healthy subjects. This study aimed to explore the potential of cerebellar gray matter volume, related to motor control function, as a neuroimaging biomarker to classify patients with Parkinson's disease (PD) and healthy controls (HC) by using voxel-based morphometric (VBM) measurements and support vector machine (SVM) methods based on independent component analysis (ICA). Methods Cerebellar gray matter volume was measured by using VBM in patients with PD (n = 27) and HC (n = 16) from the Neurocon dataset. ICA analysis was performed on the gray matter volume of all subregions, resulting in 7 independent components. These independent components were then utilized for correlation analysis with clinical scales and trained as input features for the SVM model. PD patients (n = 20) and HC (n = 20) from the TaoWu dataset were used as test data to validate our SVM model. Results Among patients with PD, 3 out of the 7 independent components showed significant correlation with clinical scales. The SVM model achieved an accuracy of 86% in classifying PD patients and HC, with a sensitivity of 72.2%, specificity of 88%, and F1 Score of 76.5%. The accuracy of the SVM model verification analysis used the TaoWu dataset is 70%, the sensitivity 62.5%, the specificity 100%, and the F1 Score 76.9%. Conclusions The results suggest that abnormal cerebellar gray matter volume, which is highly correlated with motor control function in Parkinson's patients, may serve as a valuable neuroimaging biomarker which is capable of distinguishing Parkinson's patients from healthy individuals. We observed that the combination of the ICA method and SVM method produced an improved classification model. This model may function as an early warning tool which enables the clinicians to conduct preliminary identification and intervention for patients with PD.

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Examination of common and unique brain regions for atypical reading and math: a meta-analysis

et al. 2023

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The purpose of this study is to identify consistencies across functional neuroimaging studies regarding common and unique brain regions/networks for individuals with reading difficulties (RD) and math difficulties (MD) compared to typically developing (TD) individuals. A systematic search of the literature, utilizing multiple databases, yielded 116 functional magnetic resonance imaging and positron emission tomography studies that met the criteria. Coordinates that directly compared TD with either RD or MD were entered into GingerALE (Brainmap.org). An activation likelihood estimate (ALE) meta-analysis was conducted to examine common and unique brain regions for RD and MD. Overall, more studies examined RD (n = 96) than MD (n = 20). Across studies, overactivation for reading and math occurred in the right insula and inferior frontal gyrus for atypically developing (AD) > TD comparisons, albeit in slightly different areas of these regions; however, inherent threshold variability across imaging studies could diminish overlying regions. For TD > AD comparisons, there were no similar or overlapping brain regions. Results indicate there were domain-specific differences for RD and MD; however, there were some similarities in the ancillary recruitment of executive functioning skills. Theoretical and practical implications for researchers and educators are discussed.

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Action and emotion perception in Parkinson’s disease: A neuroimaging meta-analysis

Cited by 3 publications

References 148 publications

Association of 7-Day Profiles of Motor Activity in Marital Dyads with One Component Affected by Parkinson’s Disease

Association of 7-Day Profiles of Motor Activity in Marital Dyads with One Component Affected by Parkinson’s Disease

MRI-based Differentiation of Parkinson's Disease by Cerebellar Gray Matter Volume

Examination of common and unique brain regions for atypical reading and math: a meta-analysis

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