Attentional dysfunction arises from right frontocentral and occipital network connectivity in Parkinson's disease
Background: The Flanker task measures visuospatial attention and assesses the attentional network by distinguishing pathways for enhancing information at attended regions and suppressing information at unattended ones (Kopp et al., 1996). In Parkinson's disease (PD), the attentional network is...
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Elsevier
2025-03-01
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2666956025000091 |
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author | Isobel Timothea French Kuo-Hsuan Chang Wei-Kuang Liang Wen-Sheng Chang Yen-Shi Lo Yi-Ru Wang Mei-Ling Cheng Norden E. Huang Hsiu-Chuan Wu Siew-Na Lim Chiung-Mei Chen Chi-Hung Juan |
author_facet | Isobel Timothea French Kuo-Hsuan Chang Wei-Kuang Liang Wen-Sheng Chang Yen-Shi Lo Yi-Ru Wang Mei-Ling Cheng Norden E. Huang Hsiu-Chuan Wu Siew-Na Lim Chiung-Mei Chen Chi-Hung Juan |
author_sort | Isobel Timothea French |
collection | DOAJ |
description | Background: The Flanker task measures visuospatial attention and assesses the attentional network by distinguishing pathways for enhancing information at attended regions and suppressing information at unattended ones (Kopp et al., 1996). In Parkinson's disease (PD), the attentional network is impaired due to dysfunctional fronto-subcortical circuits connected to the basal ganglia, disrupting response selection and inhibition. While electroencephalography (EEG) may reveal abnormalities of these circuits in PD, dynamic brain oscillations critical for interareal communications cannot be deciphered with conventional time-frequency analyses. Objective: To utilize the novel Holo-Hilbert Spectral Analysis (HHSA) to reveal dynamic EEG features of the Flanker task in PD patients and healthy normal controls for differentiating and elucidating attentional network deficits in patients. Methods: The novel HHSA was applied to uncover nonlinear features of the Flanker task EEG and to analyse connectivity using phase-amplitude cross-frequency coupling. Results: Holo-Hilbert transform (HHT) results showed an attenuated midfrontal theta (FMθ) in the congruency effect in PD patients, consistent with past studies. HHSA showed a loss of low-frequency amplitude modulations (fam) in the theta carrier frequency band (fc) during the congruency effect in PD. Importantly, connectivity analyses using the Holo-Hilbert cross-frequency phase clustering (HHCFPC) revealed a loss of theta-gamma cross frequency coupling (CFC) from the right prefrontal cortex to other frontal and contralateral regions. Decrements were also shown in PD patients from right frontal cortical to occipital areas in theta-beta CFC. Conclusions: These visuospatial attention deficits of PD revealed with the advanced analytical method of the HHSA and HHCFPC may inaugurate further neurophysiological biomarkers for cognitive function evaluation in PD and related movement disorders. |
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language | English |
publishDate | 2025-03-01 |
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spelling | doaj-art-d8220d0b97fb4043ac53dd9b68d75c622025-02-12T05:33:00ZengElsevierNeuroImage: Reports2666-95602025-03-0151100241Attentional dysfunction arises from right frontocentral and occipital network connectivity in Parkinson's diseaseIsobel Timothea French0Kuo-Hsuan Chang1Wei-Kuang Liang2Wen-Sheng Chang3Yen-Shi Lo4Yi-Ru Wang5Mei-Ling Cheng6Norden E. Huang7Hsiu-Chuan Wu8Siew-Na Lim9Chiung-Mei Chen10Chi-Hung Juan11Institute of Cognitive Neuroscience, National Central University, No. 300 Jhongda Rd., Jhongli District, 32001, Taoyuan, Taiwan; Taiwan International Graduate Program in Interdisciplinary Neuroscience, National Central University and Academia Sinica, Taipei, 11529, TaiwanDepartment of Neurology, Chang Gung Memorial Hospital-Linkou Medical Center, Chang Gung University College of Medicine, No.5, Fusing St., Gueishan District, 333, Taoyuan, TaiwanInstitute of Cognitive Neuroscience, National Central University, No. 300 Jhongda Rd., Jhongli District, 32001, Taoyuan, Taiwan; Cognitive Intelligence and Precision Healthcare Research Center, National Central University, Taoyuan, TaiwanInstitute of Cognitive Neuroscience, National Central University, No. 300 Jhongda Rd., Jhongli District, 32001, Taoyuan, TaiwanDepartment of Neurology, Chang Gung Memorial Hospital-Linkou Medical Center, Chang Gung University College of Medicine, No.5, Fusing St., Gueishan District, 333, Taoyuan, TaiwanDepartment of Neurology, Chang Gung Memorial Hospital-Linkou Medical Center, Chang Gung University College of Medicine, No.5, Fusing St., Gueishan District, 333, Taoyuan, TaiwanDepartment of Biomedical Sciences, Chang Gung University, No 259, Wenhua 1st Rd, Guishan District, Taoyuan, Taiwan; Metabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan; Clinical Phenome Center, Chang Gung Memorial Hospital, Taoyuan, TaiwanInstitute of Cognitive Neuroscience, National Central University, No. 300 Jhongda Rd., Jhongli District, 32001, Taoyuan, Taiwan; Cognitive Intelligence and Precision Healthcare Research Center, National Central University, Taoyuan, Taiwan; Data Analysis and Application Laboratory, The First Institute of Oceanography, Qingdao, ChinaDepartment of Neurology, Chang Gung Memorial Hospital-Linkou Medical Center, Chang Gung University College of Medicine, No.5, Fusing St., Gueishan District, 333, Taoyuan, TaiwanDepartment of Neurology, Chang Gung Memorial Hospital-Linkou Medical Center, Chang Gung University College of Medicine, No.5, Fusing St., Gueishan District, 333, Taoyuan, TaiwanDepartment of Neurology, Chang Gung Memorial Hospital-Linkou Medical Center, Chang Gung University College of Medicine, No.5, Fusing St., Gueishan District, 333, Taoyuan, Taiwan; Corresponding author.Institute of Cognitive Neuroscience, National Central University, No. 300 Jhongda Rd., Jhongli District, 32001, Taoyuan, Taiwan; Cognitive Intelligence and Precision Healthcare Research Center, National Central University, Taoyuan, Taiwan; Corresponding author. Institute of Cognitive Neuroscience, National Central University, No. 300 Jhongda Rd., Jhongli District, Taoyuan City, 32001, Taiwan.Background: The Flanker task measures visuospatial attention and assesses the attentional network by distinguishing pathways for enhancing information at attended regions and suppressing information at unattended ones (Kopp et al., 1996). In Parkinson's disease (PD), the attentional network is impaired due to dysfunctional fronto-subcortical circuits connected to the basal ganglia, disrupting response selection and inhibition. While electroencephalography (EEG) may reveal abnormalities of these circuits in PD, dynamic brain oscillations critical for interareal communications cannot be deciphered with conventional time-frequency analyses. Objective: To utilize the novel Holo-Hilbert Spectral Analysis (HHSA) to reveal dynamic EEG features of the Flanker task in PD patients and healthy normal controls for differentiating and elucidating attentional network deficits in patients. Methods: The novel HHSA was applied to uncover nonlinear features of the Flanker task EEG and to analyse connectivity using phase-amplitude cross-frequency coupling. Results: Holo-Hilbert transform (HHT) results showed an attenuated midfrontal theta (FMθ) in the congruency effect in PD patients, consistent with past studies. HHSA showed a loss of low-frequency amplitude modulations (fam) in the theta carrier frequency band (fc) during the congruency effect in PD. Importantly, connectivity analyses using the Holo-Hilbert cross-frequency phase clustering (HHCFPC) revealed a loss of theta-gamma cross frequency coupling (CFC) from the right prefrontal cortex to other frontal and contralateral regions. Decrements were also shown in PD patients from right frontal cortical to occipital areas in theta-beta CFC. Conclusions: These visuospatial attention deficits of PD revealed with the advanced analytical method of the HHSA and HHCFPC may inaugurate further neurophysiological biomarkers for cognitive function evaluation in PD and related movement disorders.http://www.sciencedirect.com/science/article/pii/S2666956025000091ElectroencephalographySpectral analysisCross-frequency phase clusteringParkinson's diseaseAttentional network |
spellingShingle | Isobel Timothea French Kuo-Hsuan Chang Wei-Kuang Liang Wen-Sheng Chang Yen-Shi Lo Yi-Ru Wang Mei-Ling Cheng Norden E. Huang Hsiu-Chuan Wu Siew-Na Lim Chiung-Mei Chen Chi-Hung Juan Attentional dysfunction arises from right frontocentral and occipital network connectivity in Parkinson's disease NeuroImage: Reports Electroencephalography Spectral analysis Cross-frequency phase clustering Parkinson's disease Attentional network |
title | Attentional dysfunction arises from right frontocentral and occipital network connectivity in Parkinson's disease |
title_full | Attentional dysfunction arises from right frontocentral and occipital network connectivity in Parkinson's disease |
title_fullStr | Attentional dysfunction arises from right frontocentral and occipital network connectivity in Parkinson's disease |
title_full_unstemmed | Attentional dysfunction arises from right frontocentral and occipital network connectivity in Parkinson's disease |
title_short | Attentional dysfunction arises from right frontocentral and occipital network connectivity in Parkinson's disease |
title_sort | attentional dysfunction arises from right frontocentral and occipital network connectivity in parkinson s disease |
topic | Electroencephalography Spectral analysis Cross-frequency phase clustering Parkinson's disease Attentional network |
url | http://www.sciencedirect.com/science/article/pii/S2666956025000091 |
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