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Shang S, Wang L, Yao J, Lv X, Xu Y, Dou W, Zhang H, Ye J, Chen YC. Characterizing microstructural patterns within the cortico-striato-thalamo-cortical circuit in Parkinson's disease. Prog Neuropsychopharmacol Biol Psychiatry 2024; 135:111116. [PMID: 39116929 DOI: 10.1016/j.pnpbp.2024.111116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2024] [Revised: 08/04/2024] [Accepted: 08/05/2024] [Indexed: 08/10/2024]
Abstract
PURPOSE Parkinson's disease (PD) involves pathological alterations that include cortical impairments at levels of region and network. However, its microstructural abnormalities remain to be further elucidated via an appropriate diffusion neuroimaging approach. This study aimed to comprehensively demonstrate the microstructural patterns of PD as mapped by diffusion kurtosis imaging (DKI). METHODS The microstructure of grey matter in both the PD group and the matched healthy control group was quantified by a DKI metric (mean kurtosis). The intergroup difference and classification performance of global microstructural complexity were analyzed in a voxelwise manner and via a machine learning approach, respectively. The patterns of information flows were explored in terms of structural connectivity, network covariance and modular connectivity. RESULTS Patients with PD exhibited global microstructural impairments that served as an efficient diagnostic indicator. Disrupted structural connections between the striatum and cortices as well as between the thalamus and cortices were widely distributed in the PD group. Aberrant covariance of the striatocortical circuitry and thalamocortical circuitry was observed in patients with PD, who also showed disrupted modular connectivity within the striatum and thalamus as well as across structures of the cortex, striatum and thalamus. CONCLUSION These findings verified the potential clinical application of DKI for the exploration of microstructural patterns in PD, contributing complementary imaging features that offer a deeper insight into the neurodegenerative process.
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Affiliation(s)
- Song''an Shang
- Department of Medical imaging center, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, China
| | - Lijuan Wang
- Department of Radiology, Jintang First People's Hospital, Sichuan University, Chengdu, China
| | - Jun Yao
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Xiang Lv
- Department of Neurology, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, China
| | - Yao Xu
- Department of Neurology, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, China
| | - Weiqiang Dou
- MR Research China, GE Healthcare, Beijing, China
| | - Hongying Zhang
- Department of Medical imaging center, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, China
| | - Jing Ye
- Department of Medical imaging center, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, China.
| | - Yu-Chen Chen
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
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Culicetto L, Formica C, Lo Buono V, Latella D, Maresca G, Brigandì A, Sorbera C, Di Lorenzo G, Quartarone A, Marino S. Possible Implications of Managing Alexithymia on Quality of Life in Parkinson's Disease: A Systematic Review. PARKINSON'S DISEASE 2024; 2024:5551796. [PMID: 39228428 PMCID: PMC11371456 DOI: 10.1155/2024/5551796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 06/17/2024] [Accepted: 08/16/2024] [Indexed: 09/05/2024]
Abstract
Alexithymia, characterized by difficulty in recognizing and verbalizing emotions, is reported to be more prevalent in subjects with Parkinson's disease (PD) than in the general population. Although it is one of the nonmotor symptoms of PD, alexithymia is often overlooked in clinical practice. The aim of this systematic review is to investigate the prevalence of alexithymia in PD, assess its impact on quality of life, and explore the rehabilitation approaches for alexithymia. Research articles, selected from PubMed, Scopus, and Web of Science, were limited to those published in English from 2013 to 2023. The search terms combined were "Alexithymia," "Parkinson's disease,", and "Quality of life." Current literature review indicates that alexithymia is commonly assessed using the Toronto Alexithymia Scale (TAS-20), and it is associated with deficits in visuospatial and executive functions. Presently, rehabilitation interventions for alexithymia are scarce, and their effectiveness remains controversial. Future research should focus on developing comprehensive assessments and rehabilitation strategies for emotional processing, considering its significant impact on the quality of life of both patients and caregivers.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Silvia Marino
- IRCCS Centro Neurolesi “Bonino Pulejo”, Messina, Italy
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3
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Korte JA, Weakley A, Donjuan Fernandez K, Joiner WM, Fan AP. Neural Underpinnings of Learning in Dementia Populations: A Review of Motor Learning Studies Combined with Neuroimaging. J Cogn Neurosci 2024; 36:734-755. [PMID: 38285732 DOI: 10.1162/jocn_a_02116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2024]
Abstract
The intent of this review article is to serve as an overview of current research regarding the neural characteristics of motor learning in Alzheimer disease (AD) as well as prodromal phases of AD: at-risk populations, and mild cognitive impairment. This review seeks to provide a cognitive framework to compare various motor tasks. We will highlight the neural characteristics related to cognitive domains that, through imaging, display functional or structural changes because of AD progression. In turn, this motivates the use of motor learning paradigms as possible screening techniques for AD and will build upon our current understanding of learning abilities in AD populations.
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4
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Zhu S, Wang L, Lv X, Xu Y, Dou W, Zhang H, Ye J. Application of diffusional kurtosis imaging for insights into structurally aberrant topology in Parkinson's disease. Acta Radiol 2024; 65:233-240. [PMID: 38017711 DOI: 10.1177/02841851231216039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2023]
Abstract
BACKGROUND Parkinson's disease (PD) has been regarded as a disconnection syndrome with functional and structural disturbances. However, as the anatomic determinants, the structural disconnections in PD have yet to be fully elucidated. PURPOSE To non-invasively construct structural networks based on microstructural complexity and to further investigate their potential topological abnormalities in PD given the technical superiority of diffusion kurtosis imaging (DKI) to the quantification of microstructure. MATERIAL AND METHODS The microstructural data of gray matter in both the PD group and the healthy control (HC) group were acquired using DKI. The structural networks were constructed at the group level by a covariation approach, followed by the calculation of topological properties based on graph theory and statistical comparisons between groups. RESULTS A total of 51 patients with PD and 50 HCs were enrolled. Individuals were matched between groups with respect to demographic characteristics (P >0.05). The constructed structural networks in both the PD and HC groups featured small-world properties. In comparison with the HC group, the PD group exhibited significantly altered global properties, with higher normalized characteristic path lengths, clustering coefficients, local efficiency values, and characteristic path lengths and lower global efficiency values (P <0.05). In terms of nodal centralities, extensive nodal disruptions were observed in patients with PD (P <0.05); these disruptions were mainly distributed in the sensorimotor network, default mode network, frontal-parietal network, visual network, and subcortical network. CONCLUSION These findings contribute to the technical application of DKI and the elucidation of disconnection syndrome in PD.
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Affiliation(s)
- Siying Zhu
- Department of Medical imaging center, Clinical Medical College, Yangzhou University, Yangzhou, PR China
| | - Lijuan Wang
- Department of Radiology, Jintang First People's Hospital, Sichuan University, Chengdu, PR China
| | - Xiang Lv
- Department of Neurology, Clinical Medical College, Yangzhou University, Yangzhou, PR China
| | - Yao Xu
- Department of Neurology, Clinical Medical College, Yangzhou University, Yangzhou, PR China
| | - Weiqiang Dou
- MR Research China, GE Healthcare, Beijing, PR China
| | - Hongying Zhang
- Department of Medical imaging center, Clinical Medical College, Yangzhou University, Yangzhou, PR China
| | - Jing Ye
- Department of Medical imaging center, Clinical Medical College, Yangzhou University, Yangzhou, PR China
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Shang S, Wang L, Xu Y, Zhang H, Chen L, Dou W, Yin X, Ye J, Chen YC. Optimization of structural connectomes and scaled patterns of structural-functional decoupling in Parkinson's disease. Neuroimage 2023; 284:120450. [PMID: 37949260 DOI: 10.1016/j.neuroimage.2023.120450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Revised: 11/05/2023] [Accepted: 11/07/2023] [Indexed: 11/12/2023] Open
Abstract
Parkinson's disease (PD) is manifested with disrupted topology of the structural connection network (SCN) and the functional connection network (FCN). However, the SCN and its interactions with the FCN remain to be further investigated. This multimodality study attempted to precisely characterize the SCN using diffusion kurtosis imaging (DKI) and further identify the neuropathological pattern of SCN-FCN decoupling, underscoring the neurodegeneration of PD. Diffusion-weighted imaging and resting-state functional imaging were available for network constructions among sixty-nine patients with PD and seventy demographically matched healthy control (HC) participants. The classification performance and topological prosperities of both the SCN and the FCN were analyzed, followed by quantification of the SCN-FCN couplings across scales. The SCN constructed by kurtosis metrics achieved optimal classification performance (area under the curve 0.89, accuracy 80.55 %, sensitivity 78.40 %, and specificity 80.65 %). Along with diverse alterations of structural and functional network topology, the PD group exhibited decoupling across scales including: reduced global coupling; increased nodal coupling within the sensorimotor network (SMN) and subcortical network (SN); higher intramodular coupling within the SMN and SN and lower intramodular coupling of the default mode network (DMN); decreased coupling between the modules of DMN-fronto-parietal network and DMN-visual network, but increased coupling between the SMN-SN module. Several associations between the coupling coefficient and topological properties of the SCN, as well as between network values and clinical scores, were observed. These findings validated the clinical implementation of DKI for structural network construction with better differentiation ability and characterized the SCN-FCN decoupling as supplementary insight into the pathological process underlying PD.
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Affiliation(s)
- Song'an Shang
- Department of Medical imaging center, Clinical Medical College, Yangzhou University, Yangzhou, China
| | - Lijuan Wang
- Department of Radiology, Jintang First People's Hospital, Sichuan University, Chengdu, China
| | - Yao Xu
- Department of Neurology, Clinical Medical College, Yangzhou University, Yangzhou, China
| | - Hongying Zhang
- Department of Medical imaging center, Clinical Medical College, Yangzhou University, Yangzhou, China
| | - Lanlan Chen
- Department of Neurology, Clinical Medical College, Yangzhou University, Yangzhou, China
| | - Weiqiang Dou
- MR Research China, GE Healthcare, Beijing, China
| | - Xindao Yin
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Jing Ye
- Department of Medical imaging center, Clinical Medical College, Yangzhou University, Yangzhou, China
| | - Yu-Chen Chen
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
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Zuo C, Suo X, Lan H, Pan N, Wang S, Kemp GJ, Gong Q. Global Alterations of Whole Brain Structural Connectome in Parkinson's Disease: A Meta-analysis. Neuropsychol Rev 2023; 33:783-802. [PMID: 36125651 PMCID: PMC10770271 DOI: 10.1007/s11065-022-09559-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 06/14/2022] [Indexed: 10/14/2022]
Abstract
Recent graph-theoretical studies of Parkinson's disease (PD) have examined alterations in the global properties of the brain structural connectome; however, reported alterations are not consistent. The present study aimed to identify the most robust global metric alterations in PD via a meta-analysis. A comprehensive literature search was conducted for all available diffusion MRI structural connectome studies that compared global graph metrics between PD patients and healthy controls (HC). Hedges' g effect sizes were calculated for each study and then pooled using a random-effects model in Comprehensive Meta-Analysis software, and the effects of potential moderator variables were tested. A total of 22 studies met the inclusion criteria for review. Of these, 16 studies reporting 10 global graph metrics (916 PD patients; 560 HC) were included in the meta-analysis. In the structural connectome of PD patients compared with HC, we found a significant decrease in clustering coefficient (g = -0.357, P = 0.005) and global efficiency (g = -0.359, P < 0.001), and a significant increase in characteristic path length (g = 0.250, P = 0.006). Dopaminergic medication, sex and age of patients were potential moderators of global brain network changes in PD. These findings provide evidence of decreased global segregation and integration of the structural connectome in PD, indicating a shift from a balanced small-world network to 'weaker small-worldization', which may provide useful markers of the pathophysiological mechanisms underlying PD.
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Affiliation(s)
- Chao Zuo
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Xueling Suo
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Huan Lan
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Nanfang Pan
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Song Wang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
| | - Graham J Kemp
- Liverpool Magnetic Resonance Imaging Centre (LiMRIC) and Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, Sichuan, China.
- Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
- Department of Radiology, West China Xiamen Hospital of Sichuan University, Xiamen, Fujian, China.
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DeGutis J, Aul C, Barthelemy OJ, Davis BL, Alshuaib S, Marin A, Kinger SB, Ellis TD, Cronin-Golomb A. Side of motor symptom onset predicts sustained attention deficits and motor improvements after attention training in Parkinson's disease. Neuropsychologia 2023; 190:108698. [PMID: 37806442 DOI: 10.1016/j.neuropsychologia.2023.108698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 08/28/2023] [Accepted: 10/05/2023] [Indexed: 10/10/2023]
Abstract
OBJECTIVE Parkinson's disease (PD) side of motor symptom onset has been associated with distinct cognitive deficits; individuals with left-side onset (LPD) show more visuospatial impairments, whereas those with right-side onset (RPD) show more verbal impairments. Non-spatial attention is a critical cognitive ability associated with motor functioning that is right hemisphere lateralized but has not been characterized with regard to PD side of onset. We compared individuals with LPD and RPD on non-spatial attention tasks and examined differential responses to a 4-week sustained attention training program. METHOD Participants included 9 with LPD and 12 with RPD, who performed both brief and extended go/no-go continuous performance tasks and an attentional blink task. Participants also engaged in an at-home sustained attention training program, Tonic and Phasic Alertness Training (TAPAT), 5 days/week for 4 weeks. We assessed cognitive and motor symptoms before and after training, and after a 4-week no-contact period. RESULTS At baseline, participants with LPD exhibited worse performance than those with RPD on the extended continuous performance task, indicating specific deficits in sustaining attention. Poorer attention was associated with worse clinical motor scores. Notably, side of onset had a significant effect on clinical motor changes after sustained attention training, with only LPD participants improving after training, and 4/9 showing clinically meaningful improvements. CONCLUSIONS Compared to RPD, participants with LPD had poorer sustained attention pre-training and were more likely to improve on clinical motor functioning after sustained attention training. These findings support mechanistic differences between LPD and RPD and suggest potential differential treatment approaches.
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Affiliation(s)
- Joseph DeGutis
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA; Boston Attention and Learning Laboratory (BALLAB), VA Boston Healthcare System, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Courtney Aul
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA; Boston Attention and Learning Laboratory (BALLAB), VA Boston Healthcare System, Boston, MA, USA
| | - Olivier J Barthelemy
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
| | - Breanna L Davis
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
| | - Shaikhah Alshuaib
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
| | - Anna Marin
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
| | - Shraddha B Kinger
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
| | - Terry D Ellis
- Department of Physical Therapy, Boston University College of Health and Rehabilitation Sciences: Sargent College, Boston, MA, USA
| | - Alice Cronin-Golomb
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA.
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Chang H, Liu B, Zong Y, Lu C, Wang X. EEG-Based Parkinson's Disease Recognition via Attention-Based Sparse Graph Convolutional Neural Network. IEEE J Biomed Health Inform 2023; 27:5216-5224. [PMID: 37405893 DOI: 10.1109/jbhi.2023.3292452] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/07/2023]
Abstract
Parkinson's disease (PD) is a complicated neurological ailment that affects both the physical and mental wellness of elderly individuals which makes it problematic to diagnose in its initial stages. Electroencephalogram (EEG) promises to be an efficient and cost-effective method for promptly detecting cognitive impairment in PD. Nevertheless, prevailing diagnostic practices utilizing EEG features have failed to examine the functional connectivity among EEG channels and the response of associated brain areas causing an unsatisfactory level of precision. Here, we construct an attention-based sparse graph convolutional neural network (ASGCNN) for diagnosing PD. Our ASGCNN model uses a graph structure to represent channel relationships, the attention mechanism for selecting channels, and the L1 norm to capture channel sparsity. We conduct extensive experiments on the publicly available PD auditory oddball dataset, which consists of 24 PD patients (under ON/OFF drug status) and 24 matched controls, to validate the effectiveness of our method. Our results show that the proposed method provides better results compared to the publicly available baselines. The achieved scores for Recall, Precision, F1-score, Accuracy and Kappa measures are 90.36%, 88.43%, 88.41%, 87.67%, and 75.24%, respectively. Our study reveals that the frontal and temporal lobes show significant differences between PD patients and healthy individuals. In addition, EEG features extracted by ASGCNN demonstrate significant asymmetry in the frontal lobe among PD patients. These findings can offer a basis for the establishment of a clinical system for intelligent diagnosis of PD by using auditory cognitive impairment features.
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Filippi M, Spinelli EG, Cividini C, Ghirelli A, Basaia S, Agosta F. The human functional connectome in neurodegenerative diseases: relationship to pathology and clinical progression. Expert Rev Neurother 2023; 23:59-73. [PMID: 36710600 DOI: 10.1080/14737175.2023.2174016] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
INTRODUCTION Neurodegenerative diseases can be considered as 'disconnection syndromes,' in which a communication breakdown prompts cognitive or motor dysfunction. Mathematical models applied to functional resting-state MRI allow for the organization of the brain into nodes and edges, which interact to form the functional brain connectome. AREAS COVERED The authors discuss the recent applications of functional connectomics to neurodegenerative diseases, from preclinical diagnosis, to follow up along with the progressive changes in network organization, to the prediction of the progressive spread of neurodegeneration, to stratification of patients into prognostic groups, and to record responses to treatment. The authors searched PubMed using the terms 'neurodegenerative diseases' AND 'fMRI' AND 'functional connectome' OR 'functional connectivity' AND 'connectomics' OR 'graph metrics' OR 'graph analysis.' The time range covered the past 20 years. EXPERT OPINION Considering the great pathological and phenotypical heterogeneity of neurodegenerative diseases, identifying a common framework to diagnose, monitor and elaborate prognostic models is challenging. Graph analysis can describe the complexity of brain architectural rearrangements supporting the network-based hypothesis as unifying pathogenetic mechanism. Although a multidisciplinary team is needed to overcome the limit of methodologic complexity in clinical application, advanced methodologies are valuable tools to better characterize functional disconnection in neurodegeneration.
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Affiliation(s)
- Massimo Filippi
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy.,Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Edoardo Gioele Spinelli
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Camilla Cividini
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Alma Ghirelli
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Silvia Basaia
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Federica Agosta
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
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Steinbach MJ, Campbell RW, DeVore BB, Harrison DW. Laterality in Parkinson's disease: A neuropsychological review. APPLIED NEUROPSYCHOLOGY. ADULT 2023; 30:126-140. [PMID: 33844619 DOI: 10.1080/23279095.2021.1907392] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Laterality of motor symptom onset in Parkinson's disease is both well-known and under-appreciated. Treatment of disorders that have asymmetric pathological features, such as stroke and epilepsy, demonstrate the importance of incorporating hemispheric lateralization and specialization into therapy and care planning. These practices could theoretically extend to Parkinson's disease, providing increased diagnostic accuracy and improved treatment outcomes. Additionally, while motor symptoms have generally received the majority of attention, non-motor features (e.g., autonomic dysfunction) also decrease quality of life and are influenced by asymmetrical neurodegeneration. Due to the laterality of cognitive and behavioral processes in the two brain hemispheres, analysis of hemibody side of onset can potentially give insight into expected symptom profile of the patient and allow for increased predictive accuracy of disease progression and outcome, thus opening the door to personalized and improved therapy in treating Parkinson's disease patients. This review discusses motor and non-motor symptoms (namely autonomic, sensory, emotional, and cognitive dysfunction) of Parkinson's disease in respect to hemispheric lateralization from a theoretical perspective in hopes of providing a framework for future research and personalized treatment.
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Bagattini C, Esposito M, Ferrari C, Mazza V, Brignani D. Connectivity alterations underlying the breakdown of pseudoneglect: New insights from healthy and pathological aging. Front Aging Neurosci 2022; 14:930877. [PMID: 36118681 PMCID: PMC9475001 DOI: 10.3389/fnagi.2022.930877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 08/08/2022] [Indexed: 11/13/2022] Open
Abstract
A right-hemisphere dominance for visuospatial attention has been invoked as the most prominent neural feature of pseudoneglect (i.e., the leftward visuospatial bias exhibited in neurologically healthy individuals) but the neurophysiological underpinnings of such advantage are still controversial. Previous studies investigating visuospatial bias in multiple-objects visual enumeration reported that pseudoneglect is maintained in healthy elderly and amnesic mild cognitive impairment (aMCI), but not in Alzheimer’s disease (AD). In this study, we aimed at investigating the neurophysiological correlates sustaining the rearrangements of the visuospatial bias along the progression from normal to pathological aging. To this aim, we recorded EEG activity during an enumeration task and analyzed intra-hemispheric fronto-parietal and inter-hemispheric effective connectivity adopting indexes from graph theory in patients with mild AD, patients with aMCI, and healthy elderly controls (HC). Results revealed that HC showed the leftward bias and stronger fronto-parietal effective connectivity in the right as compared to the left hemisphere. A breakdown of pseudoneglect in patients with AD was associated with both the loss of the fronto-parietal asymmetry and the reduction of inter-hemispheric parietal interactions. In aMCI, initial alterations of the attentional bias were associated with a reduction of parietal inter-hemispheric communication, but not with modulations of the right fronto-parietal connectivity advantage, which remained intact. These data provide support to the involvement of fronto-parietal and inter-parietal pathways in the leftward spatial bias, extending these notions to the complex neurophysiological alterations characterizing pathological aging.
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Affiliation(s)
- Chiara Bagattini
- Neurophysiology Lab, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
- *Correspondence: Chiara Bagattini,
| | - Marco Esposito
- Neurophysiology Lab, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Clarissa Ferrari
- Unit of Statistics, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Veronica Mazza
- Center for Mind/Brain Sciences CIMeC, University of Trento, Rovereto, Italy
| | - Debora Brignani
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
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Chen A, Deng Y, Zuo X, Zhong S. Alteration in Asymmetry of White Matter Network of Parkinson's Disease. CONTRAST MEDIA & MOLECULAR IMAGING 2022; 2022:8493729. [PMID: 35873665 PMCID: PMC9273463 DOI: 10.1155/2022/8493729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 06/03/2022] [Accepted: 06/13/2022] [Indexed: 11/17/2022]
Abstract
Parkinson's disease (PD) is manifest clinically by an asymmetrical presentation of motor dysfunction. A large number of previous neuroimaging research studies have stated the alteration in the hemispheric asymmetry of morphological features in PD disease. Diffusion Magnetic Resonance Imaging (MRI), which is noninvasive, has been widely used to quantify the white matter network in the human brain of both healthy subjects and patients. Besides, graph theory analysis is widely used to quantify the topological architecture of the human brain network. Lately, researchers have discovered that the topological architecture of the white matter network significantly differs in PD compared with healthy controls (HC). Nevertheless, the asymmetry of the topological architecture of the white matter network for PD patients remains unclear. To clarify this, the diffusion-weighted images and tractography technique were used to reconstruct the hemispherical white matter networks for 22 bilateral PD patients and 18 HC subjects. Network-based statistical analysis and graph theory analysis approaches were employed to estimate the asymmetry at both the connectivity level and the hemispheric topological level for PD patients. We found that the PD group showed atypically right-higher-than-left asymmetry in hemispheric brain global and local efficiencies. The detected right-higher-than-left asymmetry was driven by the atypically topological changes in the left hemispheric brain in the PD group. Findings from these studies might provide new insights into the asymmetric features of hemispheric disconnectivity and emphasize that the topological asymmetry of the hemispheric brain could be used as a biomarker to identify PD individuals.
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Affiliation(s)
- Aihong Chen
- Department of Emergency Medicine, Hanyang Hospital Affiliated to Wuhan University of Science, Wuhan, Hubei 430051, China
| | - Yue Deng
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430051, China
| | - Xiaobing Zuo
- Department of Emergency Medicine, Hanyang Hospital Affiliated to Wuhan University of Science, Wuhan, Hubei 430051, China
| | - Suting Zhong
- Department of Emergency Medicine, Hanyang Hospital Affiliated to Wuhan University of Science, Wuhan, Hubei 430051, China
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Zeng W, Fan W, Kong X, Liu X, Liu L, Cao Z, Zhang X, Yang X, Cheng C, Wu Y, Xu Y, Cao X, Xu Y. Altered Intra- and Inter-Network Connectivity in Drug-Naïve Patients With Early Parkinson’s Disease. Front Aging Neurosci 2022; 14:783634. [PMID: 35237144 PMCID: PMC8884479 DOI: 10.3389/fnagi.2022.783634] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Accepted: 01/17/2022] [Indexed: 12/22/2022] Open
Abstract
The aim of our study was to investigate differences in whole brain connectivity at different levels between drug-naïve individuals with early Parkinson’s disease (PD) and healthy controls (HCs). Resting-state functional magnetic resonance imaging data were collected from 47 patients with early-stage, drug-naïve PD and 50 HCs. Functional brain connectivity was analyzed at the integrity, network, and edge levels; UPDRS-III, MMSE, MOCA, HAMA, and HAMD scores, reflecting the symptoms of PD, were collected for further regression analysis. Compared with age-matched HCs, reduced functional connectivity were mainly observed in the visual (VSN), somatomotor (SMN), limbic (LBN), and deep gray matter networks (DGN) at integrity level [p < 0.05, false discovery rate (FDR) corrected]. Intra-network analysis indicated decreased functional connectivity in DGN, SMN, LBN, and ventral attention networks (VAN). Inter-network analysis indicated reduced functional connectivity in nine pairs of resting-state networks. At the edge level, the LBN was the center of abnormal functional connectivity (p < 0.05, FDR corrected). MOCA score was associated with the intra-network functional connectivity strength (FC) of the DGN, and inter-network FC of the DGN-VAN. HAMA and HAMD scores were associated with the FC of the SMN and DGN, and either the LBN or VAN, respectively. We demonstrated variations in whole brain connections of drug-naïve patients with early PD. Major changes involved the SMN, DGN, LBN, and VSN, which may be relevant to symptoms of early PD. Additionally, our results support PD as a disconnection syndrome.
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Affiliation(s)
- Weiqi Zeng
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wenliang Fan
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Xiangchuang Kong
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Xiaoming Liu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Ling Liu
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ziqin Cao
- Department of Chemistry, Emory University, Atlanta, GA, United States
| | - Xiaoqian Zhang
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoman Yang
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chi Cheng
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yi Wu
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yu Xu
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xuebing Cao
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- *Correspondence: Xuebing Cao,
| | - Yan Xu
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Yan Xu,
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14
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Gender based assessment of gait rhythms during dual-task in Parkinson’s disease and its early detection. Biomed Signal Process Control 2022. [DOI: 10.1016/j.bspc.2021.103346] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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15
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Guo T, Xuan M, Zhou C, Wu J, Gao T, Bai X, Liu X, Gu L, Liu R, Song Z, Gu Q, Huang P, Pu J, Zhang B, Xu X, Guan X, Zhang M. Normalization effect of levodopa on hierarchical brain function in Parkinson’s disease. Netw Neurosci 2022; 6:552-569. [PMID: 35733432 PMCID: PMC9208001 DOI: 10.1162/netn_a_00232] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 01/10/2022] [Indexed: 11/08/2022] Open
Abstract
Hierarchical brain organization, in which the rich club and diverse club situate in core position, is critical for global information integration in the human brain network. Parkinson’s disease (PD), a common movement disorder, has been conceptualized as a network disorder. Levodopa is an effective treatment for PD. Whether there is a functional divergence in the hierarchical brain system under PD pathology, and how this divergence is regulated by immediate levodopa therapy, remains unknown. We constructed a functional network in 61 PD patients and 89 normal controls and applied graph theoretical analyses to examine the neural mechanism of levodopa short response from the perspective of brain hierarchical configuration. The results revealed the following: (a) PD patients exhibited disrupted function within rich-club organization, while the diverse club preserved function, indicating a differentiated brain topological organization in PD. (b) Along the rich-club derivate hierarchical system, PD patients showed impaired network properties within rich-club and feeder subnetworks, and decreased nodal degree centrality in rich-club and feeder nodes, along with increased nodal degree in peripheral nodes, suggesting distinct functional patterns in different types of nodes. And (c) levodopa could normalize the abnormal network architecture of the rich-club system. This study provides evidence for levodopa effects on the hierarchical brain system with divergent functions. Many studies of brain networks have revealed densely connected regions forming the rich club and diverse club, which occupy the central position of the hierarchical brain system. Here, we explore the hierarchical topology in Parkinson’s disease (PD) and investigate the neural effect of levodopa on it. We show that within the core position of the hierarchical system, the function of the diverse club is preserved while the function of the rich club is impaired. Along the rich-club hierarchical system, the function of biologically costly rich-club and feeder subnetworks is disrupted, together with an increased function of peripheral nodes, which could be normalized by levodopa. Our study provides evidence of a disparity pattern between different levels of brain hierarchical systems under PD pathology.
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Affiliation(s)
- Tao Guo
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Min Xuan
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Cheng Zhou
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jingjing Wu
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ting Gao
- Department of Neurology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xueqin Bai
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaocao Liu
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Luyan Gu
- Department of Neurology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ruiqi Liu
- School of Information Science and Technology, ShanghaiTech University, Shanghai, China
| | - Zhe Song
- Department of Neurology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Quanquan Gu
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Peiyu Huang
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jiali Pu
- Department of Neurology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Baorong Zhang
- Department of Neurology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaojun Xu
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaojun Guan
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Minming Zhang
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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16
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Sun J, Gao X, Hua Q, Du R, Liu P, Liu T, Yang J, Qiu B, Ji GJ, Hu P, Wang K. Brain functional specialization and cooperation in Parkinson's disease. Brain Imaging Behav 2021; 16:565-573. [PMID: 34427879 DOI: 10.1007/s11682-021-00526-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/23/2021] [Indexed: 11/24/2022]
Abstract
Cerebral specialization and inter-hemispheric cooperation are two of the most prominent functional architectures of the human brain. Their dysfunctions may be related to pathophysiological changes in patients with Parkinson's disease (PD), who are characterized by unbalanced onset and progression of motor symptoms. This study aimed to characterize the two intrinsic architectures of hemispheric functions in PD using resting-state functional magnetic resonance imaging. Seventy idiopathic PD patients and 70 age-, sex-, and education-matched healthy subjects were recruited. All participants underwent magnetic resonance image scanning and clinical evaluations. The cerebral specialization (Autonomy index, AI) and inter-hemispheric cooperation (Connectivity between Functionally Homotopic voxels, CFH) were calculated and compared between groups. Compared with healthy controls, PD patients showed stronger AI in the left angular gyrus. Specifically, this difference in specialization resulted from increased functional connectivity (FC) of the ipsilateral areas (e.g., the left prefrontal area), and decreased FC in the contralateral area (e.g., the right supramarginal gyrus). Imaging-cognitive correlation analysis indicated that these connectivity were positively related to the score of Montreal Cognitive Assessment in PD patients. CFH between the bilateral sensorimotor regions was significantly decreased in PD patients compared with controls. No significant correlation between CFH and cognitive scores was found in PD patients. This study illustrated a strong leftward specialization but weak inter-hemispheric coordination in PD patients. It provided new insights to further clarify the pathological mechanism of PD.
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Affiliation(s)
- Jinmei Sun
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, 230000, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China.,Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, 230000, China
| | - Xiaoran Gao
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230000, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China.,Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, 230000, China
| | - Qiang Hua
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230000, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China.,Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, 230000, China
| | - Rongrong Du
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230000, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China.,Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, 230000, China
| | - Pingping Liu
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, 230000, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China.,Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, 230000, China
| | - Tingting Liu
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, 230000, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China.,Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, 230000, China
| | - Jinying Yang
- Laboratory Center for Information Science, University of Science and Technology of China, Hefei, China
| | - Bensheng Qiu
- Hefei National Lab for Physical Sciences at the Microscale and the Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Gong-Jun Ji
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, 230000, China. .,School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230000, China. .,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China. .,Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, 230000, China.
| | - Panpan Hu
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, 230000, China. .,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China. .,Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, 230000, China.
| | - Kai Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, 230000, China. .,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China. .,Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, 230000, China. .,Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230000, China.
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17
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Zhang Y, Huang B, Chen Q, Wang L, Zhang L, Nie K, Huang Q, Huang R. Altered microstructural properties of superficial white matter in patients with Parkinson's disease. Brain Imaging Behav 2021; 16:476-491. [PMID: 34410610 DOI: 10.1007/s11682-021-00522-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/20/2021] [Indexed: 12/31/2022]
Abstract
Parkinson's disease (PD), a chronic neurodegenerative disease, is characterized by sensorimotor and cognitive deficits. Previous diffusion tensor imaging (DTI) studies found abnormal DTI metrics in white matter bundles, such as the corpus callosum, cingulate, and frontal-parietal bundles, in PD patients. These studies mainly focused on alterations in microstructural features of long-range bundles within the deep white matter (DWM) that connects pairs of distant cortical regions. However, less is known about the DTI metrics of the superficial white matter (SWM) that connects local cortical regions in PD patients. To determine whether the DTI metrics of the SWM were different between the PD patients and the healthy controls, we recruited DTI data from 34 PD patients and 29 gender- and age-matched healthy controls. Using a probabilistic tractographic approach, we first defined a population-based SWM mask across all the subjects. Using a tract-based spatial statistical (TBSS) analytic approach, we then identified the SWM bundles showing abnormal DTI metrics in the PD patients. We found that the PD patients showed significantly lower DTI metrics in the SWM bundles connecting the sensorimotor cortex, cingulate cortex, posterior parietal cortex (PPC), and parieto-occipital cortex than the healthy controls. We also found that the clinical measures in the PD patients was significantly negatively correlated with the fractional anisotropy in the SWM (FASWM) that connects core regions in the default mode network (DMN). The FASWM in the bundles that connected the PPC was significantly positively correlated with cognitive performance in the PD patients. Our findings suggest that SWM may serve as the brain structural basis underlying the sensorimotor deficits and cognitive degeneration in PD patients.
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Affiliation(s)
- Yichen Zhang
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, School of Psychology, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China
| | - Biao Huang
- Department of Radiology, Guangdong Academy of Medical Sciences, Guangdong Provincial People's Hospital, Guangzhou, 510080 , China.
| | - Qinyuan Chen
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, School of Psychology, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China
| | - Lijuan Wang
- Department of Neurology, Guangdong Academy of Medical Sciences, Guangdong Provincial People's Hospital, Guangzhou, 510080, China
| | - Lu Zhang
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, School of Psychology, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China
| | - Kun Nie
- Department of Neurology, Guangdong Academy of Medical Sciences, Guangdong Provincial People's Hospital, Guangzhou, 510080, China
| | - Qinda Huang
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, School of Psychology, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China
| | - Ruiwang Huang
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, School of Psychology, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China.
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18
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Structural network topology and microstructural alterations of the anterior insula associate with cognitive and affective impairment in Parkinson's disease. Sci Rep 2021; 11:16021. [PMID: 34362996 PMCID: PMC8346470 DOI: 10.1038/s41598-021-95638-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Accepted: 07/27/2021] [Indexed: 11/08/2022] Open
Abstract
The aim of the current study was to assess the structural centrality and microstructural integrity of the cortical hubs of the salience network, the anterior insular cortex (AIC) subregions and anterior cingulate cortex (ACC), and their relationship to cognitive and affective impairment in PD. MRI of 53 PD patients and 15 age-matched controls included 3D-T1 for anatomical registration, and diffusion tensor imaging for probabilistic tractography. Network topological measures of eigenvector and betweenness centrality were calculated for ventral (vAI) and dorsal (dAI) AIC. Microstructural tract integrity between vAI, dAI and the ACC was quantified with fractional anisotrophy (FA) and mean diffusivity (MD). Structural integrity and connectivity were related to cognitive and affective scores. The dAI had significantly higher eigenvector centrality in PD than controls (p < 0.01), associated with higher depression scores (left dAI only, rs = 0.28, p < 0.05). Tracts between dAI and ACC showed lower FA and higher MD in PD (p < 0.05), and associated with lower semantic fluency, working memory and executive functioning, and higher anxiety scores (range 0.002 < p < 0.05). This study provides evidence for clinically relevant structural damage to the cortical hubs of the salience network in PD, possibly due to extensive local neuropathology and loss of interconnecting AIC-ACC tracts.
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19
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Hyder R, Jensen M, Højlund A, Kimppa L, Bailey CJ, Schaldemose JL, Kinnerup MB, Østergaard K, Shtyrov Y. Functional connectivity of spoken language processing in early-stage Parkinson's disease: An MEG study. NEUROIMAGE-CLINICAL 2021; 32:102718. [PMID: 34455187 PMCID: PMC8403765 DOI: 10.1016/j.nicl.2021.102718] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 04/01/2021] [Accepted: 06/02/2021] [Indexed: 11/24/2022]
Abstract
Parkinson's disease (PD) is a neurodegenerative disorder, well-known for its motor symptoms; however, it also adversely affects cognitive functions, including language, a highly important human ability. PD pathology is associated, even in the early stage of the disease, with alterations in the functional connectivity within cortico-subcortical circuitry of the basal ganglia as well as within cortical networks. Here, we investigated functional cortical connectivity related to spoken language processing in early-stage PD patients. We employed a patient-friendly passive attention-free paradigm to probe neurophysiological correlates of language processing in PD patients without confounds related to active attention and overt motor responses. MEG data were recorded from a group of newly diagnosed PD patients and age-matched healthy controls who were passively presented with spoken word stimuli (action and abstract verbs, as well as grammatically correct and incorrect inflectional forms) while focussing on watching a silent movie. For each of the examined linguistic aspects, a logistic regression classifier was used to classify participants as either PD patients or healthy controls based on functional connectivity within the temporo-fronto-parietal cortical language networks. Classification was successful for action verbs (accuracy = 0.781, p-value = 0.003) and, with lower accuracy, for abstract verbs (accuracy = 0.688, p-value = 0.041) and incorrectly inflected forms (accuracy = 0.648, p-value = 0.021), but not for correctly inflected forms (accuracy = 0.523, p-value = 0.384). Our findings point to quantifiable differences in functional connectivity within the cortical systems underpinning language processing in newly diagnosed PD patients compared to healthy controls, which arise early, in the absence of clinical evidence of deficits in cognitive or general language functions. The techniques presented here may aid future work on establishing neurolinguistic markers to objectively and noninvasively identify functional changes in the brain's language networks even before clinical symptoms emerge.
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Affiliation(s)
- Rasha Hyder
- Center of Functionally Integrative Neuroscience (CFIN), Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Institute of Clinical Neuroscience and Medical Psychology, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany.
| | - Mads Jensen
- Center of Functionally Integrative Neuroscience (CFIN), Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Research Unit for Robophilosophy and Integrative Social Robotics, Aarhus University, Denmark
| | - Andreas Højlund
- Center of Functionally Integrative Neuroscience (CFIN), Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Lilli Kimppa
- Center of Functionally Integrative Neuroscience (CFIN), Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Cognitive Brain Research Unit, Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Finland
| | - Christopher J Bailey
- Center of Functionally Integrative Neuroscience (CFIN), Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Jeppe L Schaldemose
- Department of Nuclear Medicine and PET Centre, Aarhus University Hospital, Aarhus, Denmark
| | - Martin B Kinnerup
- Department of Nuclear Medicine and PET Centre, Aarhus University Hospital, Aarhus, Denmark
| | - Karen Østergaard
- Sano Private Hospital, Denmark; Department of Neurology, Aarhus University Hospital (AUH), Denmark
| | - Yury Shtyrov
- Center of Functionally Integrative Neuroscience (CFIN), Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Centre for Cognition and Decision Making, Institute for Cognitive Neuroscience, HSE University, Moscow, Russian Federation.
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20
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Borghammer P. The α-Synuclein Origin and Connectome Model (SOC Model) of Parkinson's Disease: Explaining Motor Asymmetry, Non-Motor Phenotypes, and Cognitive Decline. JOURNAL OF PARKINSON'S DISEASE 2021; 11:455-474. [PMID: 33682732 PMCID: PMC8150555 DOI: 10.3233/jpd-202481] [Citation(s) in RCA: 74] [Impact Index Per Article: 24.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 02/10/2021] [Indexed: 12/12/2022]
Abstract
A new model of Parkinson's disease (PD) pathogenesis is proposed, the α-Synuclein Origin site and Connectome (SOC) model, incorporating two aspects of α-synuclein pathobiology that impact the disease course for each patient: the anatomical location of the initial α-synuclein inclusion, and α-synuclein propagation dependent on the ipsilateral connections that dominate connectivity of the human brain. In some patients, initial α-synuclein pathology occurs within the CNS, leading to a brain-first subtype of PD. In others, pathology begins in the peripheral autonomic nervous system, leading to a body-first subtype. In brain-first cases, it is proposed that the first pathology appears unilaterally, often in the amygdala. If α-synuclein propagation depends on connection strength, a unilateral focus of pathology will disseminate more to the ipsilateral hemisphere. Thus, α-synuclein spreads mainly to ipsilateral structures including the substantia nigra. The asymmetric distribution of pathology leads to asymmetric dopaminergic degeneration and motor asymmetry. In body-first cases, the α-synuclein pathology ascends via the vagus to both the left and right dorsal motor nuclei of the vagus owing to the overlapping parasympathetic innervation of the gut. Consequently, the initial α-synuclein pathology inside the CNS is more symmetric, which promotes more symmetric propagation in the brainstem, leading to more symmetric dopaminergic degeneration and less motor asymmetry. At diagnosis, body-first patients already have a larger, more symmetric burden of α-synuclein pathology, which in turn promotes faster disease progression and accelerated cognitive decline. The SOC model is supported by a considerable body of existing evidence and may have improved explanatory power.
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Affiliation(s)
- Per Borghammer
- Department of Nuclear Medicine & PET, Aarhus University Hospital, Aarhus, Denmark
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21
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Crispino P, Gino M, Barbagelata E, Ciarambino T, Politi C, Ambrosino I, Ragusa R, Marranzano M, Biondi A, Vacante M. Gender Differences and Quality of Life in Parkinson's Disease. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 18:E198. [PMID: 33383855 PMCID: PMC7795924 DOI: 10.3390/ijerph18010198] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Revised: 12/05/2020] [Accepted: 12/26/2020] [Indexed: 12/15/2022]
Abstract
Parkinson's disease has been found to significantly affect health-related quality of life. The gender differences of the health-related quality of life of subjects with Parkinson's disease have been observed in a number of studies. These differences have been reported in terms of the age at onset, clinical manifestations, and response to therapy. In general, women with Parkinson's disease showed more positive disease outcomes with regard to emotion processing, non-motor symptoms, and cognitive functions, although women report more Parkinson's disease-related clinical manifestations. Female gender predicted poor physical functioning and socioemotional health-related quality of life, while male gender predicted the cognitive domain of health-related quality of life. Some studies reported gender differences in the association between health-related quality of life and non-motor symptoms. Depression and fatigue were the main causes of poorer health-related quality of life in women, even in the early stages of Parkinson's disease. The aim of this review was to collect the best available evidence on gender differences in the development of Parkinson's disease symptoms and health-related quality of life.
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Affiliation(s)
- Pietro Crispino
- Internal Medicine Department, Lagonegro Hospital, 85042 Lagonegro (PZ), Italy;
| | - Miriam Gino
- Department of Internal Medicine, Rivoli Hospital, 10098 Rivoli (TO), Italy;
| | - Elena Barbagelata
- Department of Internal Medicine, ASL 4 Chiavarese, Sestri Levante Hospital, 16039 Sestri Levante (GE), Italy;
| | - Tiziana Ciarambino
- Department of Medical, Surgical, Neurological, Metabolic and Geriatrics Sciences, Marcianise Hospital, ASL Caserta, University of Campania “L. Vanvitelli”, 81025 Naples, Italy;
| | - Cecilia Politi
- Department of Internal Medicine, Veneziale Hospital, 86170 Isernia, Italy;
| | | | - Rosalia Ragusa
- Health Technology Assessment Committee, University Hospital G. Rodolico, 95123 Catania, Italy;
| | - Marina Marranzano
- Department of Medical, Surgical and Advanced Sciences, University of Catania, 95123 Catania, Italy;
| | - Antonio Biondi
- Department of General Surgery and Medical-Surgical Specialties, University of Catania, 95123 Catania, Italy;
| | - Marco Vacante
- Department of General Surgery and Medical-Surgical Specialties, University of Catania, 95123 Catania, Italy;
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22
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Mihaescu AS, Kim J, Masellis M, Graff-Guerrero A, Cho SS, Christopher L, Valli M, Díez-Cirarda M, Koshimori Y, Strafella AP. Graph theory analysis of the dopamine D2 receptor network in Parkinson's disease patients with cognitive decline. J Neurosci Res 2020; 99:947-965. [PMID: 33271630 DOI: 10.1002/jnr.24760] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 11/14/2020] [Indexed: 12/30/2022]
Abstract
Cognitive decline in Parkinson's disease (PD) is a common sequela of the disorder that has a large impact on patient well-being. Its physiological etiology, however, remains elusive. Our study used graph theory analysis to investigate the large-scale topological patterns of the extrastriatal dopamine D2 receptor network. We used positron emission tomography with [11 C]FLB-457 to measure the binding potential of cortical dopamine D2 receptors in two networks: the meso-cortical dopamine network and the meso-limbic dopamine network. We also investigated the application of partial volume effect correction (PVEC) in conjunction with graph theory analysis. Three groups were investigated in this study divided according to their cognitive status as measured by the Montreal Cognitive Assessment score, with a score ≤25 considered cognitively impaired: (a) healthy controls (n = 13, 11 female), (b) cognitively unimpaired PD patients (PD-CU, n = 13, 5 female), and (c) PD patients with mild cognitive impairment (PD-MCI, n = 17, 4 female). In the meso-cortical network, we observed increased small-worldness, normalized clustering, and local efficiency in the PD-CU group compared to the PD-MCI group, as well as a hub shift in the PD-MCI group. Compensatory reorganization of the meso-cortical dopamine D2 receptor network may be responsible for some of the cognitive preservation observed in PD-CU. These results were found without PVEC applied and PVEC proved detrimental to the graph theory analysis. Overall, our findings demonstrate how graph theory analysis can be used to detect subtle changes in the brain that would otherwise be missed by regional comparisons of receptor density.
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Affiliation(s)
- Alexander S Mihaescu
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada.,Division of Brain, Imaging and Behaviour - Systems Neuroscience, Krembil Research Institute, University Health Network, University of Toronto, Toronto, ON, Canada.,Institute of Medical Science, University of Toronto, ON, Canada
| | - Jinhee Kim
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada
| | - Mario Masellis
- Institute of Medical Science, University of Toronto, ON, Canada.,LC Campbell Cognitive Neurology Research Unit, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.,Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Ariel Graff-Guerrero
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada.,Institute of Medical Science, University of Toronto, ON, Canada
| | - Sang Soo Cho
- Division of Brain, Imaging and Behaviour - Systems Neuroscience, Krembil Research Institute, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Leigh Christopher
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada
| | - Mikaeel Valli
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada.,Division of Brain, Imaging and Behaviour - Systems Neuroscience, Krembil Research Institute, University Health Network, University of Toronto, Toronto, ON, Canada.,Institute of Medical Science, University of Toronto, ON, Canada
| | - María Díez-Cirarda
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada.,Division of Brain, Imaging and Behaviour - Systems Neuroscience, Krembil Research Institute, University Health Network, University of Toronto, Toronto, ON, Canada.,Neurodegenerative Diseases Group, Biocruces Bizkaia Health Research Institute, Barakaldo, Spain
| | - Yuko Koshimori
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada
| | - Antonio P Strafella
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada.,Division of Brain, Imaging and Behaviour - Systems Neuroscience, Krembil Research Institute, University Health Network, University of Toronto, Toronto, ON, Canada.,Institute of Medical Science, University of Toronto, ON, Canada.,Morton and Gloria Shulman Movement Disorder Unit & E.J. Safra Program in Parkinson Disease, Neurology Division, Department of Medicine, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, ON, Canada
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Pal A, Pegwal N, Behari M, Sharma R. High delta and gamma EEG power in resting state characterise dementia in Parkinson’s patients. Biomark Neuropsychiatry 2020. [DOI: 10.1016/j.bionps.2020.100027] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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Yokoyama H, Yoshida T, Zabjek K, Chen R, Masani K. Defective corticomuscular connectivity during walking in patients with Parkinson's disease. J Neurophysiol 2020; 124:1399-1414. [PMID: 32938303 DOI: 10.1152/jn.00109.2020] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Gait disturbances are common in individuals with Parkinson's disease (PD). Although the basic patterns of walking are thought to be controlled by the brainstem and spinal networks, recent studies have found significant corticomuscular coherence in healthy individuals during walking. However, it still remains unknown how PD affects the cortical control of muscles during walking. As PD typically develops in older adults, it is important to investigate the effects of both aging and PD when examining disorders in patients with PD. Here, we assessed the effects of PD and aging on corticomuscular communication during walking by investigating corticomuscular coherence. We recorded electroencephalographic and electromyographic signals in 10 individuals with PD, 9 healthy older individuals, and 15 healthy young individuals. We assessed the corticomuscular coherence between the motor cortex and two lower leg muscles, tibialis anterior (TA) and medial gastrocnemius, during walking. Older and young groups showed sharp peaks in muscle activation patterns at specific gait phases, whereas the PD group showed prolonged patterns. Smaller corticomuscular coherence was found in the PD group compared with the healthy older group in the α band (8-12 Hz) for both muscles, and in the β band (16-32 Hz) for TA. Older and young groups did not differ in the magnitude of corticomuscular coherence. Our results indicated that PD decreased the corticomuscular coherence during walking, whereas it was not affected by aging. This lower corticomuscular coherence in PD may indicate lower-than-normal corticomuscular communication, although direct or indirect communication is unknown, and may cause impaired muscle control during walking.NEW & NOTEWORTHY Mechanisms behind how Parkinson's disease (PD) affects cortical control of muscles during walking remain unclear. As PD typically develops in the elderly, investigation of aging effects is important to examine deficits regarding PD. Here, we demonstrated that PD causes weak corticomuscular synchronization during walking, but aging does not. This lower-than-normal corticomuscular communication may cause impaired muscle control during walking.
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Affiliation(s)
- Hikaru Yokoyama
- Rehabilitation Engineering Laboratory, Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada.,Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology, Tokyo, Japan
| | - Takashi Yoshida
- Applied Rehabilitation Technology Lab (ART-Lab), University Medical Center Göttingen, Göttingen, Germany
| | - Karl Zabjek
- Department of Physical Therapy, University of Toronto, Toronto, Ontario, Canada
| | - Robert Chen
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.,Krembil Research Institute, University Health Network, Toronto, Ontario, Canada.,Edmond J. Safra Program in Parkinson's Disease, University Health Network, Toronto, Ontario, Canada
| | - Kei Masani
- Rehabilitation Engineering Laboratory, Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada.,Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
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Di Tella S, Baglio F, Pelizzari L, Cabinio M, Nemni R, Traficante D, Silveri MC. Uncinate fasciculus and word selection processing in Parkinson's disease. Neuropsychologia 2020; 146:107504. [PMID: 32485199 DOI: 10.1016/j.neuropsychologia.2020.107504] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Revised: 05/25/2020] [Accepted: 05/26/2020] [Indexed: 01/13/2023]
Abstract
We explored with Diffusion Tensor Imaging (DTI) technique whether the ability to select words among competitive alternatives during word production is related to the integrity of the left uncinate fasciculus (UF) in Parkinson's disease (PD). Nineteen PD patients (10 right-sided and 9 left-sided) and 17 matched healthy controls (HC) took part in the study. Participants were asked to derive nouns from verbs (reading from to read) or to generate verbs from nouns (to build from building). Noun and verb production, in this task, differ in the number of lexical entries among which the response is selected, as the noun must be selected from a larger number of alternatives compared to the verb, and thus is more demanding of processing resources. DTI evaluation was obtained for each subject. Fractional anisotropy (FA) and mean diffusivity (MD) maps were derived from DTI and median FA and MD values were computed within the left and right UF. Then, FA and MD of the left and right UF were correlated with noun and verb production. Both the left and right UF-FA correlated with the global (noun + verb) production and noun production in the whole PD group. In right-sided PD, correlations were found with the contralateral UF-FA; in left-sided PD the correlations emerged with both the left and right UF-FA. The most difficult task, noun production, significantly correlated with the right UF-FA in left-sided PD. The left UF is involved in word selection processes, and the right UF intervenes when the selection is particularly demanding of attentional resources.
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Affiliation(s)
- Sonia Di Tella
- IRCCS Fondazione Don Carlo Gnocchi, Via A. Capecelatro, 66, 20148, Milan, Italy.
| | - Francesca Baglio
- IRCCS Fondazione Don Carlo Gnocchi, Via A. Capecelatro, 66, 20148, Milan, Italy
| | - Laura Pelizzari
- IRCCS Fondazione Don Carlo Gnocchi, Via A. Capecelatro, 66, 20148, Milan, Italy
| | - Monia Cabinio
- IRCCS Fondazione Don Carlo Gnocchi, Via A. Capecelatro, 66, 20148, Milan, Italy
| | - Raffaello Nemni
- IRCCS Fondazione Don Carlo Gnocchi, Via A. Capecelatro, 66, 20148, Milan, Italy; Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Via F. Sforza 35, 20122, Milan, Italy
| | - Daniela Traficante
- Department of Psychology, Catholic University, Largo A. Gemelli, 1, 20123, Milan, Italy
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Altered white matter microarchitecture in Parkinson's disease: a voxel-based meta-analysis of diffusion tensor imaging studies. Front Med 2020; 15:125-138. [PMID: 32458190 DOI: 10.1007/s11684-019-0725-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2019] [Accepted: 10/12/2019] [Indexed: 02/05/2023]
Abstract
This study aimed to define the most consistent white matter microarchitecture pattern in Parkinson's disease (PD) reflected by fractional anisotropy (FA), addressing clinical profiles and methodology-related heterogeneity. Web-based publication databases were searched to conduct a meta-analysis of whole-brain diffusion tensor imaging studies comparing PD with healthy controls (HC) using the anisotropic effect size-signed differential mapping. A total of 808 patients with PD and 760 HC coming from 27 databases were finally included. Subgroup analyses were conducted considering heterogeneity with respect to medication status, disease stage, analysis methods, and the number of diffusion directions in acquisition. Compared with HC, patients with PD had decreased FA in the left middle cerebellar peduncle, corpus callosum (CC), left inferior fronto-occipital fasciculus, and right inferior longitudinal fasciculus. Most of the main results remained unchanged in subgroup meta-analyses of medicated patients, early stage patients, voxel-based analysis, and acquisition with 30 diffusion directions. The subgroup meta-analysis of medication-free patients showed FA decrease in the right olfactory cortex. The cerebellum and CC, associated with typical motor impairment, showed the most consistent FA decreases in PD. Medication status, analysis approaches, and the number of diffusion directions have an important impact on the findings, needing careful evaluation in future meta-analyses.
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Salazar RD, Moon KLM, Neargarder S, Cronin-Golomb A. Spatial judgment in Parkinson's disease: Contributions of attentional and executive dysfunction. Behav Neurosci 2020; 133:350-360. [PMID: 31294590 DOI: 10.1037/bne0000329] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Spatial judgment is impaired in Parkinson's disease (PD), with previous research suggesting that disruptions in attention and executive function are likely contributors. If judgment of center places demands on frontal systems, performance on tests of attention/executive function may correlate with extent of bias in PD, and attentional disturbance may predict inconsistency in spatial judgment. The relation of spatial judgment to attention/executive function may differ for those with left-side versus right-side motor onset (LPD, RPD), reflecting effects of attentional lateralization. We assessed 42 RPD, 37 LPD, and 67 healthy control participants with a Landmark task (LM) in which a cursor moved horizontally from the right (right-LM) or left (left-LM). The task was to judge the center of the line. Participants also performed neuropsychological tests of attention and executive function. LM group differences were found on left-LM only, with both PD subgroups biased leftward of the control group (RPD p < .05; LPD p < .01; no RPD-LPD difference). For left-LM trials, extent of bias significantly correlated with performance on the cognitive tasks for PD but not for the control group. PD showed greater variability in perceived center than the control group; this variability correlated with performance on the cognitive tasks. The correlations between performance on the test of spatial judgment and the tests of attention/executive function suggest that frontal-based attentional dysfunction affects dynamic spatial judgment, both in extent of spatial bias and in consistency of response as indexed by intertrial variability. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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Affiliation(s)
- Robert D Salazar
- Department of Psychological and Brain Sciences, Boston University
| | - Kathryn L M Moon
- Department of Psychological and Brain Sciences, Boston University
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28
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Lateralized cognitive functions in Parkinson’s patients: A behavioral approach for the early detection of sustained attention deficits. Brain Res 2020; 1726:146486. [DOI: 10.1016/j.brainres.2019.146486] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Revised: 08/22/2019] [Accepted: 09/29/2019] [Indexed: 11/20/2022]
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29
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Mishra VR, Sreenivasan KR, Yang Z, Zhuang X, Cordes D, Mari Z, Litvan I, Fernandez HH, Eidelberg D, Ritter A, Cummings JL, Walsh RR. Unique white matter structural connectivity in early-stage drug-naive Parkinson disease. Neurology 2019; 94:e774-e784. [PMID: 31882528 DOI: 10.1212/wnl.0000000000008867] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Accepted: 08/28/2019] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To investigate the topographic arrangement and strength of whole-brain white matter (WM) structural connectivity in patients with early-stage drug-naive Parkinson disease (PD). METHODS We employed a model-free data-driven approach for computing whole-brain WM topologic arrangement and connectivity strength between brain regions by utilizing diffusion MRI of 70 participants with early-stage drug-naive PD and 41 healthy controls. Subsequently, we generated a novel group-specific WM anatomical network by minimizing variance in anatomical connectivity of each group. Global WM connectivity strength and network measures were computed on this group-specific WM anatomical network and were compared between the groups. We tested correlations of these network measures with clinical measures in PD to assess their pathophysiologic relevance. RESULTS PD-relevant cortical and subcortical regions were identified in the novel PD-specific WM anatomical network. Impaired modular organization accompanied by a correlation of network measures with multiple clinical variables in early PD were revealed. Furthermore, disease duration was negatively correlated with global connectivity strength of the PD-specific WM anatomical network. CONCLUSION By minimizing variance in anatomical connectivity, this study found the presence of a novel WM structural connectome in early PD that correlated with clinical symptoms, despite the lack of a priori analytic assumptions. This included the novel finding of increased structural connectivity between known PD-relevant brain regions. The current study provides a framework for further investigation of WM structural changes underlying the clinical and pathologic heterogeneity of PD.
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Affiliation(s)
- Virendra R Mishra
- From Imaging Research (V.R.M., K.R.S., Z.Y., X.Z., D.C.), Lou Ruvo Center for Brain Health (Z.M., A.R., J.L.C.), Cleveland Clinic Foundation, Las Vegas, NV; Departments of Psychology and Neuroscience (D.C.), University of Colorado at Boulder; Department of Neurosciences (I.L.), University of California San Diego, La Jolla; Center for Neurological Restoration (H.H.F.), Cleveland Clinic, OH; Center for Neurosciences (D.E.), Feinstein Institute for Medical Research, Manhasset, NY; UNLV Department of Brain Health (J.L.C.), School of Integrated Health Sciences, Las Vegas, NV; and Muhammad Ali Parkinson Center (R.R.W.), Barrow Neurological Institute, Phoenix, AZ.
| | - Karthik R Sreenivasan
- From Imaging Research (V.R.M., K.R.S., Z.Y., X.Z., D.C.), Lou Ruvo Center for Brain Health (Z.M., A.R., J.L.C.), Cleveland Clinic Foundation, Las Vegas, NV; Departments of Psychology and Neuroscience (D.C.), University of Colorado at Boulder; Department of Neurosciences (I.L.), University of California San Diego, La Jolla; Center for Neurological Restoration (H.H.F.), Cleveland Clinic, OH; Center for Neurosciences (D.E.), Feinstein Institute for Medical Research, Manhasset, NY; UNLV Department of Brain Health (J.L.C.), School of Integrated Health Sciences, Las Vegas, NV; and Muhammad Ali Parkinson Center (R.R.W.), Barrow Neurological Institute, Phoenix, AZ
| | - Zhengshi Yang
- From Imaging Research (V.R.M., K.R.S., Z.Y., X.Z., D.C.), Lou Ruvo Center for Brain Health (Z.M., A.R., J.L.C.), Cleveland Clinic Foundation, Las Vegas, NV; Departments of Psychology and Neuroscience (D.C.), University of Colorado at Boulder; Department of Neurosciences (I.L.), University of California San Diego, La Jolla; Center for Neurological Restoration (H.H.F.), Cleveland Clinic, OH; Center for Neurosciences (D.E.), Feinstein Institute for Medical Research, Manhasset, NY; UNLV Department of Brain Health (J.L.C.), School of Integrated Health Sciences, Las Vegas, NV; and Muhammad Ali Parkinson Center (R.R.W.), Barrow Neurological Institute, Phoenix, AZ
| | - Xiaowei Zhuang
- From Imaging Research (V.R.M., K.R.S., Z.Y., X.Z., D.C.), Lou Ruvo Center for Brain Health (Z.M., A.R., J.L.C.), Cleveland Clinic Foundation, Las Vegas, NV; Departments of Psychology and Neuroscience (D.C.), University of Colorado at Boulder; Department of Neurosciences (I.L.), University of California San Diego, La Jolla; Center for Neurological Restoration (H.H.F.), Cleveland Clinic, OH; Center for Neurosciences (D.E.), Feinstein Institute for Medical Research, Manhasset, NY; UNLV Department of Brain Health (J.L.C.), School of Integrated Health Sciences, Las Vegas, NV; and Muhammad Ali Parkinson Center (R.R.W.), Barrow Neurological Institute, Phoenix, AZ
| | - Dietmar Cordes
- From Imaging Research (V.R.M., K.R.S., Z.Y., X.Z., D.C.), Lou Ruvo Center for Brain Health (Z.M., A.R., J.L.C.), Cleveland Clinic Foundation, Las Vegas, NV; Departments of Psychology and Neuroscience (D.C.), University of Colorado at Boulder; Department of Neurosciences (I.L.), University of California San Diego, La Jolla; Center for Neurological Restoration (H.H.F.), Cleveland Clinic, OH; Center for Neurosciences (D.E.), Feinstein Institute for Medical Research, Manhasset, NY; UNLV Department of Brain Health (J.L.C.), School of Integrated Health Sciences, Las Vegas, NV; and Muhammad Ali Parkinson Center (R.R.W.), Barrow Neurological Institute, Phoenix, AZ
| | - Zoltan Mari
- From Imaging Research (V.R.M., K.R.S., Z.Y., X.Z., D.C.), Lou Ruvo Center for Brain Health (Z.M., A.R., J.L.C.), Cleveland Clinic Foundation, Las Vegas, NV; Departments of Psychology and Neuroscience (D.C.), University of Colorado at Boulder; Department of Neurosciences (I.L.), University of California San Diego, La Jolla; Center for Neurological Restoration (H.H.F.), Cleveland Clinic, OH; Center for Neurosciences (D.E.), Feinstein Institute for Medical Research, Manhasset, NY; UNLV Department of Brain Health (J.L.C.), School of Integrated Health Sciences, Las Vegas, NV; and Muhammad Ali Parkinson Center (R.R.W.), Barrow Neurological Institute, Phoenix, AZ
| | - Irene Litvan
- From Imaging Research (V.R.M., K.R.S., Z.Y., X.Z., D.C.), Lou Ruvo Center for Brain Health (Z.M., A.R., J.L.C.), Cleveland Clinic Foundation, Las Vegas, NV; Departments of Psychology and Neuroscience (D.C.), University of Colorado at Boulder; Department of Neurosciences (I.L.), University of California San Diego, La Jolla; Center for Neurological Restoration (H.H.F.), Cleveland Clinic, OH; Center for Neurosciences (D.E.), Feinstein Institute for Medical Research, Manhasset, NY; UNLV Department of Brain Health (J.L.C.), School of Integrated Health Sciences, Las Vegas, NV; and Muhammad Ali Parkinson Center (R.R.W.), Barrow Neurological Institute, Phoenix, AZ
| | - Hubert H Fernandez
- From Imaging Research (V.R.M., K.R.S., Z.Y., X.Z., D.C.), Lou Ruvo Center for Brain Health (Z.M., A.R., J.L.C.), Cleveland Clinic Foundation, Las Vegas, NV; Departments of Psychology and Neuroscience (D.C.), University of Colorado at Boulder; Department of Neurosciences (I.L.), University of California San Diego, La Jolla; Center for Neurological Restoration (H.H.F.), Cleveland Clinic, OH; Center for Neurosciences (D.E.), Feinstein Institute for Medical Research, Manhasset, NY; UNLV Department of Brain Health (J.L.C.), School of Integrated Health Sciences, Las Vegas, NV; and Muhammad Ali Parkinson Center (R.R.W.), Barrow Neurological Institute, Phoenix, AZ
| | - David Eidelberg
- From Imaging Research (V.R.M., K.R.S., Z.Y., X.Z., D.C.), Lou Ruvo Center for Brain Health (Z.M., A.R., J.L.C.), Cleveland Clinic Foundation, Las Vegas, NV; Departments of Psychology and Neuroscience (D.C.), University of Colorado at Boulder; Department of Neurosciences (I.L.), University of California San Diego, La Jolla; Center for Neurological Restoration (H.H.F.), Cleveland Clinic, OH; Center for Neurosciences (D.E.), Feinstein Institute for Medical Research, Manhasset, NY; UNLV Department of Brain Health (J.L.C.), School of Integrated Health Sciences, Las Vegas, NV; and Muhammad Ali Parkinson Center (R.R.W.), Barrow Neurological Institute, Phoenix, AZ
| | - Aaron Ritter
- From Imaging Research (V.R.M., K.R.S., Z.Y., X.Z., D.C.), Lou Ruvo Center for Brain Health (Z.M., A.R., J.L.C.), Cleveland Clinic Foundation, Las Vegas, NV; Departments of Psychology and Neuroscience (D.C.), University of Colorado at Boulder; Department of Neurosciences (I.L.), University of California San Diego, La Jolla; Center for Neurological Restoration (H.H.F.), Cleveland Clinic, OH; Center for Neurosciences (D.E.), Feinstein Institute for Medical Research, Manhasset, NY; UNLV Department of Brain Health (J.L.C.), School of Integrated Health Sciences, Las Vegas, NV; and Muhammad Ali Parkinson Center (R.R.W.), Barrow Neurological Institute, Phoenix, AZ
| | - Jeffrey L Cummings
- From Imaging Research (V.R.M., K.R.S., Z.Y., X.Z., D.C.), Lou Ruvo Center for Brain Health (Z.M., A.R., J.L.C.), Cleveland Clinic Foundation, Las Vegas, NV; Departments of Psychology and Neuroscience (D.C.), University of Colorado at Boulder; Department of Neurosciences (I.L.), University of California San Diego, La Jolla; Center for Neurological Restoration (H.H.F.), Cleveland Clinic, OH; Center for Neurosciences (D.E.), Feinstein Institute for Medical Research, Manhasset, NY; UNLV Department of Brain Health (J.L.C.), School of Integrated Health Sciences, Las Vegas, NV; and Muhammad Ali Parkinson Center (R.R.W.), Barrow Neurological Institute, Phoenix, AZ
| | - Ryan R Walsh
- From Imaging Research (V.R.M., K.R.S., Z.Y., X.Z., D.C.), Lou Ruvo Center for Brain Health (Z.M., A.R., J.L.C.), Cleveland Clinic Foundation, Las Vegas, NV; Departments of Psychology and Neuroscience (D.C.), University of Colorado at Boulder; Department of Neurosciences (I.L.), University of California San Diego, La Jolla; Center for Neurological Restoration (H.H.F.), Cleveland Clinic, OH; Center for Neurosciences (D.E.), Feinstein Institute for Medical Research, Manhasset, NY; UNLV Department of Brain Health (J.L.C.), School of Integrated Health Sciences, Las Vegas, NV; and Muhammad Ali Parkinson Center (R.R.W.), Barrow Neurological Institute, Phoenix, AZ.
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Rubbert C, Mathys C, Jockwitz C, Hartmann CJ, Eickhoff SB, Hoffstaedter F, Caspers S, Eickhoff CR, Sigl B, Teichert NA, Südmeyer M, Turowski B, Schnitzler A, Caspers J. Machine-learning identifies Parkinson's disease patients based on resting-state between-network functional connectivity. Br J Radiol 2019; 92:20180886. [PMID: 30994036 PMCID: PMC6732922 DOI: 10.1259/bjr.20180886] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Revised: 04/05/2019] [Accepted: 04/12/2019] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVE Evaluation of a data-driven, model-based classification approach to discriminate idiopathic Parkinson's disease (PD) patients from healthy controls (HC) based on between-network connectivity in whole-brain resting-state functional MRI (rs-fMRI). METHODS Whole-brain rs-fMRI (EPI, TR = 2.2 s, TE = 30 ms, flip angle = 90°. resolution = 3.1 × 3.1 × 3.1 mm, acquisition time ≈ 11 min) was assessed in 42 PD patients (medical OFF) and 47 HC matched for age and gender. Between-network connectivity based on full and L2-regularized partial correlation measures were computed for each subject based on canonical functional network architectures of two cohorts at different levels of granularity (Human Connectome Project: 15/25/50/100/200 networks; 1000BRAINS: 15/25/50/70 networks). A Boosted Logistic Regression model was trained on the correlation matrices using a nested cross-validation (CV) with 10 outer and 10 inner folds for an unbiased performance estimate, treating the canonical functional network architecture and the type of correlation as hyperparameters. The number of boosting iterations was fixed at 100. The model with the highest mean accuracy over the inner folds was trained using an non-nested 10-fold 20-repeats CV over the whole dataset to determine feature importance. RESULTS Over the outer folds the mean accuracy was found to be 76.2% (median 77.8%, SD 18.2, IQR 69.4 - 87.1%). Mean sensitivity was 81% (median 80%, SD 21.1, IQR 75 - 100%) and mean specificity was 72.7% (median 75%, SD 20.4, IQR 66.7 - 80%). The 1000BRAINS 50-network-parcellation, using full correlations, performed best over the inner folds. The top features predominantly included sensorimotor as well as sensory networks. CONCLUSION A rs-fMRI whole-brain-connectivity, data-driven, model-based approach to discriminate PD patients from healthy controls shows a very good accuracy and a high sensitivity. Given the high sensitivity of the approach, it may be of use in a screening setting. ADVANCES IN KNOWLEDGE Resting-state functional MRI could prove to be a valuable, non-invasive neuroimaging biomarker for neurodegenerative diseases. The current model-based, data-driven approach on whole-brain between-network connectivity to discriminate Parkinson's disease patients from healthy controls shows promising results with a very good accuracy and a very high sensitivity.
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Affiliation(s)
- Christian Rubbert
- University Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, D-40225 Dusseldorf, Germany
| | | | | | | | | | | | | | | | - Benjamin Sigl
- University Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, D-40225 Dusseldorf, Germany
| | - Nikolas A Teichert
- University Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, D-40225 Dusseldorf, Germany
| | - Martin Südmeyer
- Department of Neurology, Ernst-von-Bergmann Klinikum, Potsdam, Germany
| | - Bernd Turowski
- University Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, D-40225 Dusseldorf, Germany
| | | | - Julian Caspers
- University Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, D-40225 Dusseldorf, Germany
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Guillon J, Chavez M, Battiston F, Attal Y, La Corte V, Thiebaut de Schotten M, Dubois B, Schwartz D, Colliot O, De Vico Fallani F. Disrupted core-periphery structure of multimodal brain networks in Alzheimer's disease. Netw Neurosci 2019; 3:635-652. [PMID: 31157313 PMCID: PMC6542619 DOI: 10.1162/netn_a_00087] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2018] [Accepted: 04/02/2019] [Indexed: 11/20/2022] Open
Abstract
In Alzheimer's disease (AD), the progressive atrophy leads to aberrant network reconfigurations both at structural and functional levels. In such network reorganization, the core and peripheral nodes appear to be crucial for the prediction of clinical outcome because of their ability to influence large-scale functional integration. However, the role of the different types of brain connectivity in such prediction still remains unclear. Using a multiplex network approach we integrated information from DWI, fMRI, and MEG brain connectivity to extract an enriched description of the core-periphery structure in a group of AD patients and age-matched controls. Globally, the regional coreness-that is, the probability of a region to be in the multiplex core-significantly decreased in AD patients as result of a random disconnection process initiated by the neurodegeneration. Locally, the most impacted areas were in the core of the network-including temporal, parietal, and occipital areas-while we reported compensatory increments for the peripheral regions in the sensorimotor system. Furthermore, these network changes significantly predicted the cognitive and memory impairment of patients. Taken together these results indicate that a more accurate description of neurodegenerative diseases can be obtained from the multimodal integration of neuroimaging-derived network data.
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Affiliation(s)
- Jeremy Guillon
- Institut du Cerveau et de la Moelle Epiniere, ICM, Inserm, U 1127, CNRS, UMR 7225, Sorbonne Universite, Paris, France
- Inria Paris, Aramis Project Team, Paris, France
| | | | - Federico Battiston
- Inria Paris, Aramis Project Team, Paris, France
- CNRS, UMR 7225, Paris, France
- Department of Network and Data Science, Central European University, Budapest, Hungary
| | | | - Valentina La Corte
- Department of Neurology, Institute of Memory and Alzheimer’s Disease, Assistance Publique - Hopitaux de Paris, Pitié-Salpêtrière Hospital, Paris, France
- Inserm, UMR 894, Center of Psychiatry and Neurosciences, Memory and Cognition Laboratory, Paris, France
- Institute of Psychology, University Paris Descartes, Sorbonne Paris Cite, France
| | - Michel Thiebaut de Schotten
- Institut du Cerveau et de la Moelle Epiniere, ICM, Inserm, U 1127, CNRS, UMR 7225, Sorbonne Universite, Paris, France
| | - Bruno Dubois
- Institut de la Memoire et de la Maladie d’Alzheimer - IM2A, AP-HP, Sorbonne Universite, Paris, France
| | - Denis Schwartz
- Institut du Cerveau et de la Moelle Epiniere, ICM, Inserm, U 1127, CNRS, UMR 7225, Sorbonne Universite, Ecole Normale Superieure, ENS, Centre MEG-EEG, Paris, France
| | - Olivier Colliot
- Institut du Cerveau et de la Moelle Epiniere, ICM, Inserm, U 1127, CNRS, UMR 7225, Sorbonne Universite, Paris, France
- Inria Paris, Aramis Project Team, Paris, France
| | - Fabrizio De Vico Fallani
- Institut du Cerveau et de la Moelle Epiniere, ICM, Inserm, U 1127, CNRS, UMR 7225, Sorbonne Universite, Paris, France
- Inria Paris, Aramis Project Team, Paris, France
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Creighton SD, Mendell AL, Palmer D, Kalisch BE, MacLusky NJ, Prado VF, Prado MAM, Winters BD. Dissociable cognitive impairments in two strains of transgenic Alzheimer's disease mice revealed by a battery of object-based tests. Sci Rep 2019; 9:57. [PMID: 30635592 PMCID: PMC6329782 DOI: 10.1038/s41598-018-37312-0] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Accepted: 12/04/2018] [Indexed: 12/20/2022] Open
Abstract
Object recognition tasks detect cognitive deficits in transgenic Alzheimer's disease (AD) mouse models. Object recognition, however, is not a unitary process, and there are many uncharacterized facets of object processing with relevance to AD. We therefore systematically evaluated object processing in 5xFAD and 3xTG AD mice to clarify the nature of object recognition-related deficits. Twelve-month-old male and female 5xFAD and 3xTG mice were assessed on tasks for object identity recognition, spatial recognition, and multisensory object perception. Memory and multisensory perceptual impairments were observed, with interesting dissociations between transgenic AD strains and sex that paralleled neuropathological changes. Overreliance on the widespread "object recognition" task threatens to slow discovery of potentially significant and clinically relevant behavioural effects related to this multifaceted cognitive function. The current results support the use of carefully designed object-based test batteries to clarify the relationship between "object recognition" impairments and specific aspects of AD pathology in rodent models.
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Affiliation(s)
- Samantha D Creighton
- Department of Psychology and Collaborative Neuroscience Program, University of Guelph, Guelph, ON, Canada
| | - Ari L Mendell
- Department of Biomedical Sciences and Collaborative Neuroscience Program, University of Guelph, Guelph, ON, Canada
| | - Daniel Palmer
- Department of Psychology and Collaborative Neuroscience Program, University of Guelph, Guelph, ON, Canada
| | - Bettina E Kalisch
- Department of Biomedical Sciences and Collaborative Neuroscience Program, University of Guelph, Guelph, ON, Canada
| | - Neil J MacLusky
- Department of Biomedical Sciences and Collaborative Neuroscience Program, University of Guelph, Guelph, ON, Canada
| | - Vania F Prado
- Molecular Medicine Research Group, Robarts Research Institute, Schulich School of Medicine & Dentistry, University of Western Ontario, London, Ontario, Canada
- Department of Physiology & Pharmacology, Schulich School of Medicine & Dentistry, University of Western Ontario, London, Ontario, Canada
- Department of Anatomy & Cell Biology, Schulich School of Medicine & Dentistry, University of Western Ontario, London, Ontario, Canada
| | - Marco A M Prado
- Molecular Medicine Research Group, Robarts Research Institute, Schulich School of Medicine & Dentistry, University of Western Ontario, London, Ontario, Canada
- Department of Physiology & Pharmacology, Schulich School of Medicine & Dentistry, University of Western Ontario, London, Ontario, Canada
- Department of Anatomy & Cell Biology, Schulich School of Medicine & Dentistry, University of Western Ontario, London, Ontario, Canada
| | - Boyer D Winters
- Department of Psychology and Collaborative Neuroscience Program, University of Guelph, Guelph, ON, Canada.
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Neural Correlates of Cognitive Impairment in Parkinson's Disease: A Review of Structural MRI Findings. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2019; 144:1-28. [DOI: 10.1016/bs.irn.2018.09.009] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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34
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Benzagmout M, Boujraf S, Alami B, Amadou HA, El Hamdaoui H, Bennani A, Jaafari M, Rammouz I, Maaroufi M, Magoul R, Boussaoud D. Emotion processing in Parkinson's disease: a blood oxygenation level-dependent functional magnetic resonance imaging study. Neural Regen Res 2019; 14:666-672. [PMID: 30632507 PMCID: PMC6352597 DOI: 10.4103/1673-5374.247470] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Parkinson’s disease is a neurodegenerative disorder caused by loss of dopamine neurons in the substantia nigra pars compacta. Tremor, rigidity, and bradykinesia are the major symptoms of the disease. These motor impairments are often accompanied by affective and emotional dysfunctions which have been largely studied over the last decade. The aim of this study was to investigate emotional processing organization in the brain of patients with Parkinson’s disease and to explore whether there are differences between recognition of different types of emotions in Parkinson’s disease. We examined 18 patients with Parkinson’s disease (8 men, 10 women) with no history of neurological or psychiatric comorbidities. All these patients underwent identical brain blood oxygenation level-dependent functional magnetic resonance imaging for emotion evaluation. Blood oxygenation level-dependent functional magnetic resonance imaging results revealed that the occipito-temporal cortices, insula, orbitofrontal cortex, basal ganglia, and parietal cortex which are involved in emotion processing, were activated during the functional control. Additionally, positive emotions activate larger volumes of the same anatomical entities than neutral and negative emotions. Results also revealed that Parkinson’s disease associated with emotional disorders are increasingly recognized as disabling as classic motor symptoms. These findings help clinical physicians to recognize the emotional dysfunction of patients with Parkinson’s disease.
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Affiliation(s)
- Mohammed Benzagmout
- Laboratory of Clinical Neuroscience, Faculty of Medicine; Department of Neurosurgery, University Hospital of Fez; Laboratory of Neuroendocrinology and Nutritional and Climatic Environment, Faculty of Sciences Dhar El Mahraz, Fez, Morocco
| | - Saïd Boujraf
- Laboratory of Clinical Neuroscience, Faculty of Medicine; Department of Biophysics and Clinical MRI Methods, Faculty of Medicine; Department of Radiology and Clinical Imaging, University Hospital of Fez, Fez, Morocco
| | - Badreeddine Alami
- Laboratory of Clinical Neuroscience, Faculty of Medicine; Department of Biophysics and Clinical MRI Methods, Faculty of Medicine; Department of Radiology and Clinical Imaging, University Hospital of Fez, Fez, Morocco
| | - Hassane Ali Amadou
- Laboratory of Clinical Neuroscience, Faculty of Medicine; Department of Neurosurgery, University Hospital of Fez, Fez, Morocco
| | - Halima El Hamdaoui
- Laboratory of Clinical Neuroscience, Faculty of Medicine; Department of Biophysics and Clinical MRI Methods, Faculty of Medicine, Fez, Morocco
| | - Amine Bennani
- Laboratory of Clinical Neuroscience, Faculty of Medicine, Fez, Morocco
| | - Mounir Jaafari
- Laboratory of Clinical Neuroscience, Faculty of Medicine; Department of Psychiatry, University Hospital of Fez, Fez, Morocco
| | - Ismail Rammouz
- Laboratory of Clinical Neuroscience, Faculty of Medicine; Department of Psychiatry, University Hospital of Fez, Fez, Morocco
| | - Mustapha Maaroufi
- Laboratory of Clinical Neuroscience, Faculty of Medicine; Department of Radiology and Clinical Imaging, University Hospital of Fez, Fez, Morocco
| | - Rabia Magoul
- Laboratory of Neuroendocrinology and Nutritional and Climatic Environment, Faculty of Sciences Dhar El Mahraz, Fez, Morocco
| | - Driss Boussaoud
- Laboratory of Clinical Neuroscience, Faculty of Medicine, Fez, Morocco; Aix Marseille Université, INSERM, INS, Institut de Neurosciences des Systèmes, Marseille, France
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Snyder AC, Issar D, Smith MA. What does scalp electroencephalogram coherence tell us about long-range cortical networks? Eur J Neurosci 2018; 48:2466-2481. [PMID: 29363843 PMCID: PMC6497452 DOI: 10.1111/ejn.13840] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2017] [Revised: 12/20/2017] [Accepted: 01/17/2018] [Indexed: 01/01/2023]
Abstract
Long-range interactions between cortical areas are undoubtedly a key to the computational power of the brain. For healthy human subjects, the premier method for measuring brain activity on fast timescales is electroencephalography (EEG), and coherence between EEG signals is often used to assay functional connectivity between different brain regions. However, the nature of the underlying brain activity that is reflected in EEG coherence is currently the realm of speculation, because seldom have EEG signals been recorded simultaneously with intracranial recordings near cell bodies in multiple brain areas. Here, we take the early steps towards narrowing this gap in our understanding of EEG coherence by measuring local field potentials with microelectrode arrays in two brain areas (extrastriate visual area V4 and dorsolateral prefrontal cortex) simultaneously with EEG at the nearby scalp in rhesus macaque monkeys. Although we found inter-area coherence at both scales of measurement, we did not find that scalp-level coherence was reliably related to coherence between brain areas measured intracranially on a trial-to-trial basis, despite that scalp-level EEG was related to other important features of neural oscillations, such as trial-to-trial variability in overall amplitudes. This suggests that caution must be exercised when interpreting EEG coherence effects, and new theories devised about what aspects of neural activity long-range coherence in the EEG reflects.
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Affiliation(s)
- Adam C. Snyder
- Dept. of Electrical and Computer Engineering, Carnegie Mellon Univ., Pittsburgh, PA, USA,Dept. of Ophthalmology, Univ. of Pittsburgh, Pittsburgh, PA, USA,Center for the Neural Basis of Cognition, Univ. of Pittsburgh, Pittsburgh, PA, USA
| | - Deepa Issar
- Dept. of Bioengineering, Univ. of Pittsburgh, Pittsburgh, PA, USA
| | - Matthew A. Smith
- Dept. of Ophthalmology, Univ. of Pittsburgh, Pittsburgh, PA, USA,Center for the Neural Basis of Cognition, Univ. of Pittsburgh, Pittsburgh, PA, USA,Dept. of Bioengineering, Univ. of Pittsburgh, Pittsburgh, PA, USA,Fox Center for Vision Restoration, Univ. of Pittsburgh, Pittsburgh, PA, USA,Address correspondence to: Matthew A. Smith, Department of Ophthalmology, University of Pittsburgh, Eye and Ear Institute, 203 Lothrop St., 9 Fl., Pittsburgh, PA, 15213, Tel: (412) 647-2313,
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Wu CC, Cao B, Dali V, Gagliardi C, Barthelemy OJ, Salazar RD, Pomplun M, Cronin-Golomb A, Yazdanbakhsh A. Eye movement control during visual pursuit in Parkinson's disease. PeerJ 2018; 6:e5442. [PMID: 30155357 PMCID: PMC6109371 DOI: 10.7717/peerj.5442] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Accepted: 07/24/2018] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Prior studies of oculomotor function in Parkinson's disease (PD) have either focused on saccades without considering smooth pursuit, or tested smooth pursuit while excluding saccades. The present study investigated the control of saccadic eye movements during pursuit tasksand assessed the quality of binocular coordinationas potential sensitive markers of PD. METHODS Observers fixated on a central cross while a target moved toward it. Once the target reached the fixation cross, observers began to pursue the moving target. To further investigate binocular coordination, the moving target was presented on both eyes (binocular condition), or on one eye only (dichoptic condition). RESULTS The PD group made more saccades than age-matched normal control adults (NC) both during fixation and pursuit. The difference between left and right gaze positions increased over time during the pursuit period for PD but not for NC. The findings were not related to age, as NC and young-adult control group (YC) performed similarly on most of the eye movement measures, and were not correlated with classical measures of PD severity (e.g., Unified Parkinson's Disease Rating Scale (UPDRS) score). DISCUSSION Our results suggest that PD may be associated with impairment not only in saccade inhibition, but also in binocular coordination during pursuit, and these aspects of dysfunction may be useful in PD diagnosis or tracking of disease course.
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Affiliation(s)
- Chia-Chien Wu
- Center for Computational Neuroscience and Neural Technology, Boston University, Boston, MA, USA
| | - Bo Cao
- Department of Psychiatry, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Veena Dali
- Center for Computational Neuroscience and Neural Technology, Boston University, Boston, MA, USA
| | - Celia Gagliardi
- Center for Computational Neuroscience and Neural Technology, Boston University, Boston, MA, USA
| | | | - Robert D. Salazar
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
| | - Marc Pomplun
- Department of Computer Science, University of Massachusetts at Boston, Boston, MA, USA
| | - Alice Cronin-Golomb
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
| | - Arash Yazdanbakhsh
- Center for Computational Neuroscience and Neural Technology, Boston University, Boston, MA, USA
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
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37
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Yang K, Shen B, Li DK, Wang Y, Zhao J, Zhao J, Yu WB, Liu ZY, Tang YL, Liu FT, Yu H, Wang J, Guo QH, Wu JJ. Cognitive characteristics in Chinese non-demented PD patients based on gender difference. Transl Neurodegener 2018; 7:16. [PMID: 30038782 PMCID: PMC6052700 DOI: 10.1186/s40035-018-0120-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Accepted: 06/26/2018] [Indexed: 01/19/2023] Open
Abstract
Background Cognitive impairment is one of the non-motor symptoms in Parkinson’s disease (PD). In the present study, we aim to examine the cognitive function of non-demented Parkinson’s disease patients and compare the results between male and female patients as well as control groups in search of any gender effect. Methods Sixty PD Patients (30 males and 30 females) from the Movement Disorders Clinic at Huashan Hospital Affiliated to Fudan University were recruited to participate in the study. One hundred age and gender matched control subjects without neurological or psychiatric disorders were voluntarily recruited. The participants were administered measures of cognition in five domains including memory, language, spatial processing abilities, attention and executive function. Results PD patients attained significantly lower scores in the visual spatial function, language and attention/executive function compared with the control group. Anti-parkinsonian treated patients performed worse in Rey-copy score, Clock Drawing Test (CDT) and Verbal Fluency-City than untreated ones. In regard to gender differences, though no general cognitive differences were found in Mini-mental State Examination (MMSE), men surpassed women on Boston naming test (BNT) while women were superior on Auditory Verbal Learning Test-long (AVLT) delayed cued recall test. Conclusions Cognitive impairments were common in PD patients even in the absence of dementia. PD patients with anti-parkinsonian medication had worse cognitive impairment than untreated patients. Genders may have different manifestations of cognitive impairment in PD patients.
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Affiliation(s)
- Ke Yang
- 1Department of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, 200040 China
| | - Bo Shen
- 1Department of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, 200040 China
| | - Da-Ke Li
- 1Department of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, 200040 China
| | - Ying Wang
- 1Department of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, 200040 China
| | - Jue Zhao
- 1Department of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, 200040 China
| | - Jian Zhao
- 1Department of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, 200040 China
| | - Wen-Bo Yu
- 1Department of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, 200040 China
| | - Zhen-Yang Liu
- 1Department of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, 200040 China
| | - Yi-Lin Tang
- 1Department of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, 200040 China
| | - Feng-Tao Liu
- 1Department of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, 200040 China
| | - Huan Yu
- 1Department of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, 200040 China
| | - Jian Wang
- 1Department of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, 200040 China
| | - Qi-Hao Guo
- 1Department of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, 200040 China
| | - Jian-Jun Wu
- 1Department of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, 200040 China.,Department of Neurology, Jing'an District Center Hospital of Shanghai, 259 Xikang Road, Shanghai, 20040 China
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Barbieri FA, Polastri PF, Gobbi LTB, Simieli L, Pereira VIA, Baptista AM, Moretto GF, Fiorelli CM, Imaizumi LFI, Rodrigues ST. Obstacle circumvention and eye coordination during walking to least and most affected side in people with Parkinson's disease. Behav Brain Res 2018; 346:105-114. [PMID: 29180136 DOI: 10.1016/j.bbr.2017.11.032] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2017] [Revised: 11/23/2017] [Accepted: 11/23/2017] [Indexed: 11/29/2022]
Abstract
BACKGROUND The mechanisms that contribute to gait asymmetry in people with Parkinson's disease (PD) are unclear, mainly during gait with greater environmental demand, such as when an obstacle is circumvented while walking. OBJECTIVE The aim of this study was to investigate the effects of obstacle circumvention of the least and most affected side on motor and gaze behavior in people with PD under/without the effects of dopaminergic medication. METHODS Fifteen people with PD and 15 matched-control individuals were instructed to walk along a pathway, at a self-selected velocity, and to circumvent an obstacle, avoiding contact with it. Each participant performed five trials for each side. Kinematic parameters, mediolateral and horizontal body clearance to the obstacle, strategy to circumvent the obstacle, and gaze behavior were calculated. Parameters were grouped according to the side that the obstacle was circumvented and compared by three-way ANOVAs. RESULTS Both people with PD and the control group presented asymmetry to circumvent an obstacle during walking, however this was exacerbated in people with PD. Individuals with PD presented safe strategies (largest mediolateral and horizontal body clearance to the obstacle, "lead-out" strategy, and higher number and time of fixations on the obstacle) during obstacle circumvention for the least affected side compared to the most affected side. In addition, positive effects of dopaminergic medication on body clearance, spatial-temporal parameters, and gaze behavior were evidenced only when the obstacle was circumvented to the least affected side. CONCLUSIONS The obstacle circumvention to the most affected side is risky for people with PD.
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Affiliation(s)
- Fabio Augusto Barbieri
- São Paulo State University (Unesp) - Campus Bauru, Scholl of Science, Human Movement Research Laboratory (MOVI-LAB) and Laboratory of Information, Vision and Action (LIVIA), Department of Physical Education, Bauru, SP, Brazil.
| | - Paula Favaro Polastri
- São Paulo State University (Unesp) - Campus Bauru, Scholl of Science, Human Movement Research Laboratory (MOVI-LAB) and Laboratory of Information, Vision and Action (LIVIA), Department of Physical Education, Bauru, SP, Brazil
| | - Lilian Teresa Bucken Gobbi
- São Paulo State University (Unesp), Campus Rio Claro, Posture and Gait Studies Laboratory (LEPLO), Department of Physical Education, Rio Claro, SP, Brazil
| | - Lucas Simieli
- São Paulo State University (Unesp) - Campus Bauru, Scholl of Science, Human Movement Research Laboratory (MOVI-LAB) and Laboratory of Information, Vision and Action (LIVIA), Department of Physical Education, Bauru, SP, Brazil
| | - Vinicius Ignácio Alota Pereira
- São Paulo State University (Unesp) - Campus Bauru, Scholl of Science, Human Movement Research Laboratory (MOVI-LAB) and Laboratory of Information, Vision and Action (LIVIA), Department of Physical Education, Bauru, SP, Brazil
| | - André Macari Baptista
- São Paulo State University (Unesp) - Campus Bauru, Scholl of Science, Human Movement Research Laboratory (MOVI-LAB) and Laboratory of Information, Vision and Action (LIVIA), Department of Physical Education, Bauru, SP, Brazil
| | - Gabriel Felipe Moretto
- São Paulo State University (Unesp) - Campus Bauru, Scholl of Science, Human Movement Research Laboratory (MOVI-LAB) and Laboratory of Information, Vision and Action (LIVIA), Department of Physical Education, Bauru, SP, Brazil
| | - Carolina Menezes Fiorelli
- São Paulo State University (Unesp) - Campus Bauru, Scholl of Science, Human Movement Research Laboratory (MOVI-LAB) and Laboratory of Information, Vision and Action (LIVIA), Department of Physical Education, Bauru, SP, Brazil; Universidade Sagrado Coração, Bauru, SP, Brazil
| | - Luis Felipe Itikawa Imaizumi
- São Paulo State University (Unesp) - Campus Bauru, Scholl of Science, Human Movement Research Laboratory (MOVI-LAB) and Laboratory of Information, Vision and Action (LIVIA), Department of Physical Education, Bauru, SP, Brazil
| | - Sérgio Tosi Rodrigues
- São Paulo State University (Unesp) - Campus Bauru, Scholl of Science, Human Movement Research Laboratory (MOVI-LAB) and Laboratory of Information, Vision and Action (LIVIA), Department of Physical Education, Bauru, SP, Brazil
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Magalhães F, Rocha K, Marinho V, Ribeiro J, Oliveira T, Ayres C, Bento T, Leite F, Gupta D, Bastos VH, Velasques B, Ribeiro P, Orsini M, Teixeira S. Neurochemical changes in basal ganglia affect time perception in parkinsonians. J Biomed Sci 2018; 25:26. [PMID: 29554962 PMCID: PMC5858149 DOI: 10.1186/s12929-018-0428-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2018] [Accepted: 03/08/2018] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND Parkinson's disease is described as resulting from dopaminergic cells progressive degeneration, specifically in the substantia nigra pars compacta that influence the voluntary movements control, decision making and time perception. AIM This review had a goal to update the relation between time perception and Parkinson's Disease. METHODOLOGY We used the PRISMA methodology for this investigation built guided for subjects dopaminergic dysfunction in the time judgment, pharmacological models with levodopa and new studies on the time perception in Parkinson's Disease. We researched on databases Scielo, Pubmed / Medline and ISI Web of Knowledge on August 2017 and repeated in September 2017 and February 2018 using terms and associations relevant for obtaining articles in English about the aspects neurobiology incorporated in time perception. No publication status or restriction of publication date was imposed, but we used as exclusion criteria: dissertations, book reviews, conferences or editorial work. RESULTS/DISCUSSION We have demonstrated that the time cognitive processes are underlying to performance in cognitive tasks and that many are the brain areas and functions involved and the modulators in the time perception performance. CONCLUSIONS The influence of dopaminergic on Parkinson's Disease is an important research tool in Neuroscience while allowing for the search for clarifications regarding behavioral phenotypes of Parkinson's disease patients and to study the areas of the brain that are involved in the dopaminergic circuit and their integration with the time perception mechanisms.
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Affiliation(s)
- Francisco Magalhães
- Brain Mapping and Plasticity Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819, Nossa Sra. de Fátima, Parnaíba, PI, 64202-020, Brazil. .,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil.
| | - Kaline Rocha
- Brain Mapping and Plasticity Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819, Nossa Sra. de Fátima, Parnaíba, PI, 64202-020, Brazil.,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil
| | - Victor Marinho
- Brain Mapping and Plasticity Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819, Nossa Sra. de Fátima, Parnaíba, PI, 64202-020, Brazil.,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil
| | - Jéssica Ribeiro
- Brain Mapping and Plasticity Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819, Nossa Sra. de Fátima, Parnaíba, PI, 64202-020, Brazil
| | - Thomaz Oliveira
- Brain Mapping and Plasticity Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819, Nossa Sra. de Fátima, Parnaíba, PI, 64202-020, Brazil
| | - Carla Ayres
- Brain Mapping and Plasticity Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819, Nossa Sra. de Fátima, Parnaíba, PI, 64202-020, Brazil
| | - Thalys Bento
- Brain Mapping and Plasticity Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819, Nossa Sra. de Fátima, Parnaíba, PI, 64202-020, Brazil
| | - Francisca Leite
- Brain Mapping and Plasticity Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819, Nossa Sra. de Fátima, Parnaíba, PI, 64202-020, Brazil
| | - Daya Gupta
- Department of Biology, Camden County College, Blackwood, NJ, USA
| | - Victor Hugo Bastos
- Laboratory of Brain Mapping and Functionality, Federal University of Piauí, Parnaíba, Brazil
| | - Bruna Velasques
- Brain Mapping and Sensory-Motor Integration Laboratory, Psychiatry Institute of Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.,Brain Mapping and Sensory Motor Integration Laboratory, Institute of Psychiatry of Federal University of Rio de Janeiro, Av. Venceslau Braz, 71 - Botafogo, Rio de Janeiro, RJ, 22290-140, Brazil
| | - Pedro Ribeiro
- Brain Mapping and Sensory-Motor Integration Laboratory, Psychiatry Institute of Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.,Brain Mapping and Sensory Motor Integration Laboratory, Institute of Psychiatry of Federal University of Rio de Janeiro, Av. Venceslau Braz, 71 - Botafogo, Rio de Janeiro, RJ, 22290-140, Brazil
| | - Marco Orsini
- Rehabilitation Science Program, Analysis of Human Movement Laboratory, Augusto Motta University Center, Rio de Janeiro, Brazil.,Program Professional Master in Applied Science in Health/UNISUAM, Av. Paris, 84, Bonsucesso, Rio de Janeiro, RJ, 21041-020, Brazil
| | - Silmar Teixeira
- Brain Mapping and Plasticity Laboratory, Federal University of Piauí, Av. São Sebastião n° 2819, Nossa Sra. de Fátima, Parnaíba, PI, 64202-020, Brazil.,The Northeast Biotechnology Network (RENORBIO), Federal University of Piauí, Teresina, Brazil
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Chen B, Fan G, Sun W, Shang X, Shi S, Wang S, Lv G, Wu C. Usefulness of diffusion-tensor MRI in the diagnosis of Parkinson variant of multiple system atrophy and Parkinson's disease: a valuable tool to differentiate between them? Clin Radiol 2017; 72:610.e9-610.e15. [DOI: 10.1016/j.crad.2017.02.005] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2016] [Revised: 12/21/2016] [Accepted: 02/03/2017] [Indexed: 11/26/2022]
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Boylan LS, Messinis L. Orthostatic hypotension, cognition, and Parkinson disease: Dumbing down by standing up. Neurology 2017; 88:11-12. [PMID: 27903812 DOI: 10.1212/wnl.0000000000003468] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Affiliation(s)
- Laura S Boylan
- From the Department of Neurology (L.S.B.), New York University School of Medicine, New York; Department of Neurology (L.S.B.), Essentia Health, Duluth, MN; Department of Neurology (L.S.B.), Bellevue Hospital, New York, NY; and Neuropsychology Section, Department of Neurology (L.M.), University of Patras Medical School, Greece.
| | - Lambros Messinis
- From the Department of Neurology (L.S.B.), New York University School of Medicine, New York; Department of Neurology (L.S.B.), Essentia Health, Duluth, MN; Department of Neurology (L.S.B.), Bellevue Hospital, New York, NY; and Neuropsychology Section, Department of Neurology (L.M.), University of Patras Medical School, Greece
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Modestino EJ, Amenechi C, Reinhofer A, O'Toole P. Side-of-onset of Parkinson's disease in relation to neuropsychological measures. Brain Behav 2017; 7:e00590. [PMID: 28127512 PMCID: PMC5256177 DOI: 10.1002/brb3.590] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2016] [Revised: 08/20/2016] [Accepted: 09/07/2016] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND Parkinson's disease (PD) usually emerges with a unilateral side-of-onset (left-onset: LOPD; right-onset: ROPD; Marinus & van Hilten, 2015) due to an asymmetrical degeneration of striatal dopaminergic neurons (Donnemiller et al., Brain, 135, 2012, 3348). This has led to a body of research exploring the cognitive, neuropsychological, and clinical differences between LOPD and ROPD (e.g., Verreyt et al., Neuropsychology Review, 21, 2011, 405). METHODS Thirty ROPD and 14 LOPD cases were drawn from a Boston clinic specializing in PD. Various cognitive and neuropsychological measures were used in an attempt to discover if there were indeed any differences between LOPD and ROPD in this cohort. RESULTS For LOPD, duration of illness was found to be significantly greater than that of ROPD. However, further testing was able to confirm that despite this difference, it was not the cause of the other significant differences found. Furthermore, this increased duration was consistent with a previous study (Munhoz et al., Parkinsonism and Related Disorders, 19, 2013, 77). Performance on the Digit Span Backward (DSB) was found to be significantly poorer in LOPD than ROPD, suggesting compromised executive function in LOPD. Additionally, LOPD had significantly greater anxiety on the DASS Anxiety scales than ROPD. However, unlike Foster et al (Cognitive and Behavioral Neurology, 23, 2010, 4), this increased anxiety could not account for the poorer performance on the DSB for LOPD. Finally, ROPD had significantly greater magical ideation than LOPD, which can be explained by the theory put forth by Brugger and Graves (European Archives of Psychiatry, 247, 1997, 55). CONCLUSION Clear and significant differences between LOPD and ROPD were found within our cohort. LOPD showed greater impairment of working memory, greater anxiety, and greater duration of illness-all independent of one another; whereas, those with ROPD had greater magical ideation, also independent of any other variables.
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Affiliation(s)
| | - Chioma Amenechi
- Department of NeurologyBoston University School of MedicineBostonMAUSA
| | | | - Patrick O'Toole
- Department of NeurologyBoston University School of MedicineBostonMAUSA
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The Association between Motor Laterality and Cognitive Impairment in Parkinson's Disease. Dement Neurocogn Disord 2016; 15:142-146. [PMID: 30906356 PMCID: PMC6428023 DOI: 10.12779/dnd.2016.15.4.142] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Revised: 12/02/2016] [Accepted: 12/02/2016] [Indexed: 12/02/2022] Open
Abstract
Background and Purpose The relationship between the side of motor symptoms and cognitive impairment has rarely been reported in Parkinson’s disease (PD). We aimed to estimate the influence of motor laterality on cognition in PD patients. Methods We enrolled 67 patients with PD, and they were divided into two groups according to side of symptom onset or predominant motor symptom presentation (right and left). Right-sided PD (RPD, 40) and left-sided PD (LPD, 27) patients underwent a neuropsychological battery exploring memory, attention/working memory, frontal/executive, visuospatial, and language functions. Student's t-test and Chi-square test have been carried out to compare the clinical and neuropsychological data between two groups. Results There were no significant differences in any neuropsychological test between the RPD and LPD groups, except for digit forward span test. RPD patients scored lower on the digit forward span test than LPD patients (5.43±9.49 vs. 6.15±1.38, p=0.045). Conclusions RPD patients seem to experience more difficulties in attention and working memory than did LPD patients. The laterality of motor symptoms is not a major determinant for cognitive impairment in PD patients but, we should consider differences of cognitive deficits depending on the side of motor symptoms to treat patients with PD.
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Centi J, Freeman R, Gibbons CH, Neargarder S, Canova AO, Cronin-Golomb A. Effects of orthostatic hypotension on cognition in Parkinson disease. Neurology 2016; 88:17-24. [PMID: 27903817 DOI: 10.1212/wnl.0000000000003452] [Citation(s) in RCA: 69] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2016] [Accepted: 08/24/2016] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To investigate the relation between orthostatic hypotension (OH) and posture-mediated cognitive impairment in Parkinson disease (PD) using a cross-sectional and within-group design. METHODS Individuals without dementia with idiopathic PD included 18 with OH (PDOH) and 19 without OH; 18 control participants were also included. Neuropsychological tests were conducted in supine and upright-tilted positions. Blood pressure was assessed in each posture. RESULTS The PD groups performed similarly while supine, demonstrating executive dysfunction in sustained attention and response inhibition, and reduced semantic fluency and verbal memory (encoding and retention). Upright posture exacerbated and broadened these deficits in the PDOH group to include phonemic fluency, psychomotor speed, and auditory working memory. When group-specific supine scores were used as baseline anchors, both PD groups showed cognitive changes following tilt, with the PDOH group exhibiting a wider range of deficits in executive function and memory as well as significant changes in visuospatial function. CONCLUSIONS Cognitive deficits in PD have been widely reported with assessments performed in the supine position, as seen in both our PD groups. Here we demonstrated that those with PDOH had transient, posture-mediated changes in excess of those found in PD without OH. These observed changes suggest an acute, reversible effect. Understanding the effects of OH due to autonomic failure on cognition is desirable, particularly as neuroimaging and clinical assessments collect data only in the supine or seated positions. Identification of a distinct neuropsychological profile in PD with OH has quality of life implications, and OH presents itself as a possible target for intervention in cognitive disturbance.
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Affiliation(s)
- Justin Centi
- From the Department of Psychological and Brain Sciences (J.C., S.N., A.O.C., A.C.-G.), Boston University, Boston; Department of Neurology (J.C., R.F., C.H.G.), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston; and Department of Psychology (S.N.), Bridgewater State University, Bridgewater, MA
| | - Roy Freeman
- From the Department of Psychological and Brain Sciences (J.C., S.N., A.O.C., A.C.-G.), Boston University, Boston; Department of Neurology (J.C., R.F., C.H.G.), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston; and Department of Psychology (S.N.), Bridgewater State University, Bridgewater, MA
| | - Christopher H Gibbons
- From the Department of Psychological and Brain Sciences (J.C., S.N., A.O.C., A.C.-G.), Boston University, Boston; Department of Neurology (J.C., R.F., C.H.G.), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston; and Department of Psychology (S.N.), Bridgewater State University, Bridgewater, MA
| | - Sandy Neargarder
- From the Department of Psychological and Brain Sciences (J.C., S.N., A.O.C., A.C.-G.), Boston University, Boston; Department of Neurology (J.C., R.F., C.H.G.), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston; and Department of Psychology (S.N.), Bridgewater State University, Bridgewater, MA
| | - Alexander O Canova
- From the Department of Psychological and Brain Sciences (J.C., S.N., A.O.C., A.C.-G.), Boston University, Boston; Department of Neurology (J.C., R.F., C.H.G.), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston; and Department of Psychology (S.N.), Bridgewater State University, Bridgewater, MA
| | - Alice Cronin-Golomb
- From the Department of Psychological and Brain Sciences (J.C., S.N., A.O.C., A.C.-G.), Boston University, Boston; Department of Neurology (J.C., R.F., C.H.G.), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston; and Department of Psychology (S.N.), Bridgewater State University, Bridgewater, MA.
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Van Lier S, Batens K, Santens P, Van Roost D, Van Herreweghe M, De Letter M. The influence of subthalamic nucleus stimulation on pragmatic language production in Parkinson's disease. Acta Neurol Belg 2016; 116:163-70. [PMID: 26442686 DOI: 10.1007/s13760-015-0546-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2015] [Accepted: 09/21/2015] [Indexed: 10/23/2022]
Abstract
While the influence of deep brain stimulation (DBS) of the subthalamic nucleus (STN) on the comprehension of pragmatic language in Parkinson's disease (PD) has been the focus of studies, its impact on production, however, has yet to be elucidated. (1) Investigating the inf luence of DBS STN on pragmatic language production in spontaneous speech by comparing different stimulation conditions and (2) evaluating the effect of asymmetric dopaminergic denervation. This paper included 18 patients with advanced idiopathic PD with STN DBS. [Ten PD patients with predominantly left hemispheric dopamine denervation (PD-left) and eight PD patients with predominantly right-hemispheric dopamine denervation (PD-right).] The pragmatic components 'communicative functions' and 'conversational skills' were evaluated by analysing the spontaneous language production in four stimulation conditions. STN stimulation did not appear to influence the pragmatic production skills. Only when asymmetric dopamine depletion was taken into account the parameter 'giving an explanation' interaction was detectable. STN DBS appears to have some influence on the production of pragmatic language depending on asymmetric dopaminergic denervation. Suggestions are made for further research of pragmatic production in Parkinson's disease.
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Self, cortical midline structures and the resting state: Implications for Alzheimer's disease. Neurosci Biobehav Rev 2016; 68:245-255. [PMID: 27235083 DOI: 10.1016/j.neubiorev.2016.05.028] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2015] [Revised: 05/04/2016] [Accepted: 05/23/2016] [Indexed: 01/05/2023]
Abstract
Different aspects of the self have been reported to be affected in many neurological or psychiatric diseases such as Alzheimer's disease (AD), including mainly higher-level cognitive self-unawareness. This higher sense of self-awareness is most likely related to and dependent on episodic memory, due to the proper integration of ourselves in time, with a permanent conservation of ourselves (i.e., sense of continuity across time). Reviewing studies in this field, our objective is thus to raise possible explanations, especially with the help of neuroimaging studies, for where such self-awareness deficits originate in AD patients. We describe not only episodic (and autobiographical memory) impairment in patients, but also the important role of cortical midline structures, the Default Mode Network, and the resting state (intrinsic brain activity) for the processing of self-related information.
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Wagenbreth C, Wattenberg L, Heinze HJ, Zaehle T. Implicit and explicit processing of emotional facial expressions in Parkinson’s disease. Behav Brain Res 2016; 303:182-90. [DOI: 10.1016/j.bbr.2016.01.059] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2015] [Revised: 01/22/2016] [Accepted: 01/30/2016] [Indexed: 10/22/2022]
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Norton DJ, Nguyen VA, Lewis MF, Reynolds GO, Somers DC, Cronin-Golomb A. Visuospatial Attention to Single and Multiple Objects Is Independently Impaired in Parkinson's Disease. PLoS One 2016; 11:e0150013. [PMID: 26963388 PMCID: PMC4786138 DOI: 10.1371/journal.pone.0150013] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2015] [Accepted: 02/08/2016] [Indexed: 11/29/2022] Open
Abstract
Parkinson’s disease (PD) is associated with deficits in visuospatial attention. It is as yet unknown whether these attentional deficits begin at a perceptual level or instead reflect disruptions in oculomotor or higher-order processes. In the present study, non-demented individuals with PD and matched normal control adults (NC) participated in two tasks requiring sustained visuospatial attention, both based on a multiple object tracking paradigm. Eye tracking was used to ensure central fixation. In Experiment 1 (26 PD, 21 NC), a pair of identical red dots (one target, one distractor) rotated randomly for three seconds at varied speeds. The task was to maintain the identity of the sole target, which was labeled prior to each trial. PD were less accurate than NC overall (p = .049). When considering only trials where fixation was maintained, however, there was no significant group difference, suggesting that the deficit’s origin is closely related to oculomotor processing. To determine whether PD had additional impairment in multifocal attention, in Experiment 2 (25 PD, 15 NC), two targets were presented along with distractors at a moderate speed, along with a control condition in which dots remained stationary. PD were less accurate than NC for moving (p = 0.02) but not stationary targets. This group difference remained significant when considering only trials where fixation was maintained, suggesting the source of the PD deficit was independent from oculomotor processing. Taken together, the results implicate separate mechanisms for single vs. multiple object tracking deficits in PD.
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Affiliation(s)
- Daniel J. Norton
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- * E-mail:
| | - Victoria A. Nguyen
- Department of Psychological and Brain Sciences, Boston University, Boston, Massachusetts, United States of America
| | - Michaela F. Lewis
- Department of Neuroscience, Brown University, Providence, Rhode Island, United States of America
| | - Gretchen O. Reynolds
- Department of Psychological and Brain Sciences, Boston University, Boston, Massachusetts, United States of America
| | - David C. Somers
- Department of Psychological and Brain Sciences, Boston University, Boston, Massachusetts, United States of America
| | - Alice Cronin-Golomb
- Department of Psychological and Brain Sciences, Boston University, Boston, Massachusetts, United States of America
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The dynamics of memory retrieval in hierarchical networks. J Comput Neurosci 2016; 40:247-68. [DOI: 10.1007/s10827-016-0595-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2015] [Revised: 12/07/2015] [Accepted: 02/08/2016] [Indexed: 01/30/2023]
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Yuvaraj R, Murugappan M, Acharya UR, Adeli H, Ibrahim NM, Mesquita E. Brain functional connectivity patterns for emotional state classification in Parkinson’s disease patients without dementia. Behav Brain Res 2016; 298:248-60. [DOI: 10.1016/j.bbr.2015.10.036] [Citation(s) in RCA: 103] [Impact Index Per Article: 12.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2015] [Revised: 10/16/2015] [Accepted: 10/20/2015] [Indexed: 11/26/2022]
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