Impaired Emotional Mirroring in Parkinson’s Disease—A Study on Brain Activation during Processing of Facial Expressions

Pohl, A.; Anders, Silke; Chen, Hong; Patel, Harshal; Heller, Jan Erik; Reetz, Kathrin; Mathiak, Klaus; Binkofski, Ferdinand

doi:10.3389/fneur.2017.00682

Cited by 21 publications

(22 citation statements)

References 84 publications

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“…Emotion disturbance is a common non-motor symptom in PD patients, presenting as apathy, fatigue, anxiety, and depression (Li et al, 2017;Shen et al, 2018). Previous studies indicated that the emotional processing circuits were disrupted in PD patients (Pohl et al, 2017;Bell et al, 2019). In this study, HAMA and HAMD score were significantly higher in LOPD than those in HCo, while there was no significant difference between EOPD and HCy.…”

Section: Eopd With More Widespread Dysfunction In Emotional Processinmentioning

confidence: 39%

ALFF and ReHo Mapping Reveals Different Functional Patterns in Early- and Late-Onset Parkinson’s Disease

Yue

Jiang²,

Shen³

et al. 2020

Front. Neurosci.

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Heterogeneity between late-onset Parkinson's disease (LOPD) and early-onset Parkinson's disease (EOPD) is mainly reflected in the following aspects including genetics, disease progression, drug response, clinical manifestation, and neuropathological change. Although many studies have investigated these differences in relation to clinical significance, the functional processing circuits and underlying neural mechanisms have not been entirely understood. In this study, regional homogeneity (ReHo) and amplitude of low-frequency fluctuation (ALFF) maps were used to explore different spontaneous brain activity patterns in EOPD and LOPD patients. Abnormal synchronizations were found in the motor and emotional circuits of the EOPD group, as well as in the motor, emotional, and visual circuits of the LOPD group. EOPD patients showed functional activity change in the visual, emotional and motor circuits, and LOPD patients only showed increased functional activity in the emotional circuits. In summary, the desynchronization process in the LOPD group was relatively strengthened, and the brain areas with changed functional activity in the EOPD group were relatively widespread. The results might point out different impairments in the synchronization and functional activity for EOPD and LOPD patients.

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Section: Eopd With More Widespread Dysfunction In Emotional Processinmentioning

confidence: 39%

ALFF and ReHo Mapping Reveals Different Functional Patterns in Early- and Late-Onset Parkinson’s Disease

Yue

Jiang²,

Shen³

et al. 2020

Front. Neurosci.

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“…Neuropsychological studies (Jacobs, Shuren, Bowers, & Heilman, ; Livingstone, Vezer, McGarry, Lang, & Russo, ; Marneweck, Palermo, & Hammond, ; Ricciardi et al, ), similar to the already cited study of Pohl et al (), have also reported the existence of a significant relationship between voluntary control of facial muscles and emotion recognition deficits in PD patients, an interesting finding at the light of the embodied cognition framework. If the MN system is implicated in both production and perception of facial emotional expression, one can really expect an alteration of MN in PD, even if the MN network is not the only neuronal system involved in emotion perception (Wang, Larson, Bowen, & van Belle, ).…”

Section: Mirror Neurons and Neurodegenerative Diseasesmentioning

confidence: 55%

“…Overall, fMRI data (Anders et al, ; Pohl et al, ) and neuropsychological studies listed above considerably support the contention that empathy deficits in PD are linked to an impairment of the MN network.…”

Section: Mirror Neurons and Neurodegenerative Diseasesmentioning

confidence: 76%

“…Additional support to the putative link between MN area impairment and the well‐known emotional deficit of PD patients (Péron et al, ) comes from a similar recent study by the same group (Pohl et al, ). In this investigation, 13 PD patients and controls performed an emotion recognition task during fMRI measurement.…”

Section: Mirror Neurons and Neurodegenerative Diseasesmentioning

confidence: 81%

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Mirror neurons and their relationship with neurodegenerative disorders

Farina

Borgnis

Pozzo

2020

J of Neuroscience Research

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The finding of mirror neurons (MNs) has provided a biological substrate to a new concept of cognition, relating data on actions and perceptions not only to integrate perception in action planning and execution but also as a neural mechanism supporting a wide range of cognitive functions. Here we first summarize data on MN localization and role in primates, then we report findings in normal human subjects: functional magnetic resonance imaging and neurophysiological studies sustain that MNs have a role in motor learning and recognizing actions and intentions of others, and they also support an embodied view of language, empathy, and memory. Then, we detail the results of literature searching on MNs and embodied cognition in Parkinson's disease (PD), frontotemporal dementia (FTD)/amyotrophic lateral sclerosis (ALS), and in mild cognitive impairment (MCI)/Alzheimer's disease (AD). In PD the network of MN could be altered, but its hyperactivation might support motor and cognitive performances at least in early stages. In the ALS/FTD continuum, preliminary evidence points out to an involvement of the MN network, which could explain language and inter-subjectivity deficits shown in patients affected by these clinical entities. In the MCI/ AD spectrum, a few recent studies suggest a possible progressive involvement from posterior to anterior areas of the MN network, with the brain putting in place compensatory mechanisms in early stages. Reinterpreting neurodegenerative diseases at the light of the new views about brain organization stemming from the discovery of MN could help to better comprehend clinical manifestations and open new pathways to rehabilitation. K E Y W O R D S Alzheimer's disease, amyotrophic lateral sclerosis, embodied cognition, frontotemporal dementia, mirror neurons, Parkinson's disease | 1071 FARINA et Al.

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“…Several studies have demonstrated this is related to the destruction of pigmented neurons in the substantia nigra (Zetterström et al, 1997 ; Kordower et al, 2013 ). Its most frequent symptoms are: tremor, rigidity and bradykinesia, but also cognitive alterations, lack of emotion expressiveness (Pohl et al, 2017 ) and autonomy problems (Fauci et al, 2008 ).…”

Section: Introductionmentioning

confidence: 99%

Robust Ensemble Classification Methodology for I123-Ioflupane SPECT Images and Multiple Heterogeneous Biomarkers in the Diagnosis of Parkinson's Disease

Castillo-Barnes

Ramı́rez

Segovia

et al. 2018

Front. Neuroinform.

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In last years, several approaches to develop an effective Computer-Aided-Diagnosis (CAD) system for Parkinson's Disease (PD) have been proposed. Most of these methods have focused almost exclusively on brain images through the use of Machine-Learning algorithms suitable to characterize structural or functional patterns. Those patterns provide enough information about the status and/or the progression at intermediate and advanced stages of Parkinson's Disease. Nevertheless this information could be insufficient at early stages of the pathology. The Parkinson's Progression Markers Initiative (PPMI) database includes neurological images along with multiple biomedical tests. This information opens up the possibility of comparing different biomarker classification results. As data come from heterogeneous sources, it is expected that we could include some of these biomarkers in order to obtain new information about the pathology. Based on that idea, this work presents an Ensemble Classification model with Performance Weighting. This proposal has been tested comparing Healthy Control subjects (HC) vs. patients with PD (considering both PD and SWEDD labeled subjects as the same class). This model combines several Support-Vector-Machine (SVM) with linear kernel classifiers for different biomedical group of tests—including CerebroSpinal Fluid (CSF), RNA, and Serum tests—and pre-processed neuroimages features (Voxels-As-Features and a list of defined Morphological Features) from PPMI database subjects. The proposed methodology makes use of all data sources and selects the most discriminant features (mainly from neuroimages). Using this performance-weighted ensemble classification model, classification results up to 96% were obtained.

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Impaired Emotional Mirroring in Parkinson’s Disease—A Study on Brain Activation during Processing of Facial Expressions

Cited by 21 publications

References 84 publications

ALFF and ReHo Mapping Reveals Different Functional Patterns in Early- and Late-Onset Parkinson’s Disease

ALFF and ReHo Mapping Reveals Different Functional Patterns in Early- and Late-Onset Parkinson’s Disease

Mirror neurons and their relationship with neurodegenerative disorders

Robust Ensemble Classification Methodology for I123-Ioflupane SPECT Images and Multiple Heterogeneous Biomarkers in the Diagnosis of Parkinson's Disease

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