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Jiang B, Ding L, Chen K, Huang Q, Han X, Jin Z, Cao LZ, Zhang J, Li Q, Xue C, He Y, Fang B, Pei G, Yan T. Beta oscillation modulations of the orienting attention network effect correlate with dopamine-dependent motor symptoms of Parkinson's disease. Brain Struct Funct 2024; 230:4. [PMID: 39671095 DOI: 10.1007/s00429-024-02863-8] [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: 07/24/2024] [Accepted: 12/02/2024] [Indexed: 12/14/2024]
Abstract
Attention impairment, a prevalent non-motor symptom in Parkinson's disease (PD), plays a crucial role in movement disorders. PD patients exhibit abnormalities in the attentional network related to alerting, orienting, and executive control. While dopamine medications have well-documented effects on motor function, their impact on attention networks and the underlying neural mechanisms involved in motor functions remain unclear. In this study, we utilized a modified attention network test to investigate the neural correlates underlying attention network effects measured by electroencephalography (EEG) in 29 PD patients, both on and off dopamine medication and examined their association with motor performance. Interestingly, we found that dopamine medication specifically modulated the orienting effect of the attention network. We analyzed event-related potential components, time-frequency oscillations, and brain network connectivity, as determined by the weighted phase lag index, within the orienting effect under different dopamine medication states. We observed that event-related desynchronization in the betalow, event-related synchronization in the betahigh, and functional connectivity of the betalow in the frontal, central, and parietal were regulated by dopamine medication in the orienting effect. We discovered an association between the attention network's orienting effect and motor performance alterations, which may be attributed to enhanced functional connectivity within the betalow-brain network. Enhanced weighted phase lag index of the betalow-brain network in the orienting effect may contribute to dopamine-dependent changes in motor performance. These preliminary findings provide insights into the EEG mechanisms that underlie the impact of the orienting effect in individuals with PD, shedding light on the influence of dopamine medication and its potential role in regulating top-down attention processes. These findings could help in the advancement of substitution strategies and may have the potential to address both motor and cognitive deficits in PD patients.
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Affiliation(s)
- Bo Jiang
- School of Medical Technology, Beijing Institute of Technology, Beijing, China
| | - Lei Ding
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Anesthesiology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Keke Chen
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China
| | - Qiwei Huang
- School of Life Science, Beijing Institute of Technology, Beijing, China
| | - Xingyu Han
- School of Medical Technology, Beijing Institute of Technology, Beijing, China
| | - Zhaohui Jin
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China
| | - Li-Zhi Cao
- School of Medical Technology, Beijing Institute of Technology, Beijing, China
| | - Jianxu Zhang
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China
| | - Qing Li
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China
| | - Cuiping Xue
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China
| | - Yiliu He
- School of Medical Technology, Beijing Institute of Technology, Beijing, China
| | - Boyan Fang
- Parkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
| | - Guangying Pei
- School of Medical Technology, Beijing Institute of Technology, Beijing, China.
| | - Tianyi Yan
- School of Medical Technology, Beijing Institute of Technology, Beijing, China
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Maiella M, Mencarelli L, Casula EP, Borghi I, Assogna M, di Lorenzo F, Bonnì S, Pezzopane V, Martorana A, Koch G. Breakdown of TMS evoked EEG signal propagation within the default mode network in Alzheimer's disease. Clin Neurophysiol 2024; 167:177-188. [PMID: 39332078 DOI: 10.1016/j.clinph.2024.09.007] [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: 03/13/2024] [Revised: 09/09/2024] [Accepted: 09/13/2024] [Indexed: 09/29/2024]
Abstract
BACKGROUND The neural activity of the Default Mode Network (DMN) is disrupted in patients with In Alzheimer's disease (AD). OBJECTIVES We used a novel multimodal approach to track neural signal propagation within the DMN in AD patients. METHODS Twenty mild to moderate AD patients were recruited. We used transcranial magnetic stimulation (TMS) pulses to probe with a millisecond time resolution the propagation of evoked electroencephalography (EEG) signal following the neural activation of the Precuneus (PC), which is a key hub area of the DMN. Moreover, functional and structural magnetic resonance imaging (MRI) data were collected to reconstruct individual features of the DMN. RESULTS In AD patients a probe TMS pulse applied over the PC evokes an increased local activity unmasking underlying hyperexcitability. In contrast, the EEG evoked neural signal did not propagate efficiently within the DMN showing a remarkable breakdown of signal propagation. fMRI and structural tractography showed that impaired signal propagation was related to the same connectivity matrices derived from DMN BOLD signal and transferred by specific white matter bundles forming the cingulum. These features were not detectable stimulating other areas (left dorsolateral prefrontal cortex) or for different networks (fronto-parietal network). Finally, connectivity breakdown was associated with cognitive impairment, as measured with the Clinical Dementia Rating Scale sum of boxes (CDR-SB). CONCLUSIONS TMS-EEG in AD shows both local hyperexcitability and a lack of signal propagation within the DMN. These neurophysiological features also correlate with structural and cognitive attributes of the patients. SIGNIFICANCE Neuronavigated TMS-EEG may be used as a novel neurophysiological biomarker of DMN connectivity in AD patients.
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Affiliation(s)
- Michele Maiella
- Department of Behavioural and Clinical Neurology, Santa Lucia Foundation IRCCS, Rome, Italy; Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Lucia Mencarelli
- Department of Behavioural and Clinical Neurology, Santa Lucia Foundation IRCCS, Rome, Italy
| | - Elias P Casula
- Department of Behavioural and Clinical Neurology, Santa Lucia Foundation IRCCS, Rome, Italy; Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Ilaria Borghi
- Department of Behavioural and Clinical Neurology, Santa Lucia Foundation IRCCS, Rome, Italy; Department of Neuroscience and Rehabilitation, University of Ferrara, and Center for Translational Neurophysiology of Speech and Communication (CTNSC), Italian Institute of Technology (IIT), Ferrara, Italy
| | - Martina Assogna
- Department of Behavioural and Clinical Neurology, Santa Lucia Foundation IRCCS, Rome, Italy; Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Francesco di Lorenzo
- Department of Behavioural and Clinical Neurology, Santa Lucia Foundation IRCCS, Rome, Italy
| | - Sonia Bonnì
- Department of Behavioural and Clinical Neurology, Santa Lucia Foundation IRCCS, Rome, Italy
| | - Valentina Pezzopane
- Department of Behavioural and Clinical Neurology, Santa Lucia Foundation IRCCS, Rome, Italy; Department of Neuroscience and Rehabilitation, University of Ferrara, and Center for Translational Neurophysiology of Speech and Communication (CTNSC), Italian Institute of Technology (IIT), Ferrara, Italy
| | | | - Giacomo Koch
- Department of Behavioural and Clinical Neurology, Santa Lucia Foundation IRCCS, Rome, Italy; Department of Neuroscience and Rehabilitation, University of Ferrara, and Center for Translational Neurophysiology of Speech and Communication (CTNSC), Italian Institute of Technology (IIT), Ferrara, Italy.
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Xu S, Ren W. Distinct processing of the state prediction error signals in frontal and parietal correlates in learning the environment model. Cereb Cortex 2024; 34:bhad449. [PMID: 38037370 DOI: 10.1093/cercor/bhad449] [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: 09/18/2023] [Accepted: 10/31/2023] [Indexed: 12/02/2023] Open
Abstract
Goal-directed reinforcement learning constructs a model of how the states in the environment are connected and prospectively evaluates action values by simulating experience. State prediction error (SPE) is theorized as a crucial signal for learning the environment model. However, the underlying neural mechanisms remain unclear. Here, using electroencephalogram, we verified in a two-stage Markov task two neural correlates of SPEs: an early negative correlate transferring from frontal to central electrodes and a late positive correlate over parietal regions. Furthermore, by investigating the effects of explicit knowledge about the environment model and rewards in the environment, we found that, for the parietal correlate, rewards enhanced the representation efficiency (beta values of regression coefficient) of SPEs, whereas explicit knowledge elicited a larger SPE representation (event-related potential activity) for rare transitions. However, for the frontal and central correlates, rewards increased activities in a content-independent way and explicit knowledge enhanced activities only for common transitions. Our results suggest that the parietal correlate of SPEs is responsible for the explicit learning of state transition structure, whereas the frontal and central correlates may be involved in cognitive control. Our study provides novel evidence for distinct roles of the frontal and the parietal cortices in processing SPEs.
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Affiliation(s)
- Shuyuan Xu
- MOE Key Laboratory of Modern Teaching Technology, Shaanxi Normal University, Xi'an, Shaanxi, China
| | - Wei Ren
- MOE Key Laboratory of Modern Teaching Technology, Shaanxi Normal University, Xi'an, Shaanxi, China
- Faculty of Education, Shaanxi Normal University, Xi'an, Shaanxi, China
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Kanel P, Carli G, Vangel R, Roytman S, Bohnen NI. Challenges and innovations in brain PET analysis of neurodegenerative disorders: a mini-review on partial volume effects, small brain region studies, and reference region selection. Front Neurosci 2023; 17:1293847. [PMID: 38099203 PMCID: PMC10720329 DOI: 10.3389/fnins.2023.1293847] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 11/13/2023] [Indexed: 12/17/2023] Open
Abstract
Positron Emission Tomography (PET) brain imaging is increasingly utilized in clinical and research settings due to its unique ability to study biological processes and subtle changes in living subjects. However, PET imaging is not without its limitations. Currently, bias introduced by partial volume effect (PVE) and poor signal-to-noise ratios of some radiotracers can hamper accurate quantification. Technological advancements like ultra-high-resolution scanners and improvements in radiochemistry are on the horizon to address these challenges. This will enable the study of smaller brain regions and may require more sophisticated methods (e.g., data-driven approaches like unsupervised clustering) for reference region selection and to improve quantification accuracy. This review delves into some of these critical aspects of PET molecular imaging and offers suggested strategies for improvement. This will be illustrated by showing examples for dopaminergic and cholinergic nerve terminal ligands.
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Affiliation(s)
- Prabesh Kanel
- Department of Radiology, University of Michigan, Ann Arbor, MI, United States
- Morris K. Udall Center of Excellence for Parkinson’s Disease Research, University of Michigan, Ann Arbor, MI, United States
- Parkinson’s Foundation Research Center of Excellence, University of Michigan, Ann Arbor, MI, United States
| | - Giulia Carli
- Morris K. Udall Center of Excellence for Parkinson’s Disease Research, University of Michigan, Ann Arbor, MI, United States
- Department of Neurology, University of Michigan, Ann Arbor, MI, United States
| | - Robert Vangel
- Department of Radiology, University of Michigan, Ann Arbor, MI, United States
| | - Stiven Roytman
- Department of Radiology, University of Michigan, Ann Arbor, MI, United States
| | - Nicolaas I. Bohnen
- Department of Radiology, University of Michigan, Ann Arbor, MI, United States
- Morris K. Udall Center of Excellence for Parkinson’s Disease Research, University of Michigan, Ann Arbor, MI, United States
- Parkinson’s Foundation Research Center of Excellence, University of Michigan, Ann Arbor, MI, United States
- Department of Neurology, University of Michigan, Ann Arbor, MI, United States
- Neurology Service and GRECC, Veterans Administration Ann Arbor Healthcare System, Ann Arbor, MI, United States
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Long J, Zhang Y, Liu X, Gao Q, Pan M. Music-based interventions for unilateral spatial neglect: A systematic review. Neuropsychol Rehabil 2023; 33:1462-1487. [PMID: 35980394 DOI: 10.1080/09602011.2022.2111314] [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: 03/04/2022] [Accepted: 08/04/2022] [Indexed: 10/15/2022]
Abstract
This study aimed to evaluate the effects of music-based interventions on unilateral spatial neglect. Five databases were retrieved prior to May 5, 2022. A range of study designs were considered, including randomized controlled trials, controlled clinical trials, cohorts, and case series/reports. Types of music-based interventions were not limited. Methodological quality of randomized trials were evaluated using the RoB 2 tool, and the RoBiNT scale was utilized to assess the quality of case studies. Two authors independently summarized main results for assessments. Search strategies identified 186 potentially relevant articles, and 10 articles were collected for in-depth analysis. Preliminary results showed that USN patients performed better in cancellation tests than bisection tests after music-based intervention. In summary, pleasant music listening may have a beneficial effect on the visual attention of USN patients, and it can be hypothesized that this is related to the positive mood and emotions of patients induced by music. Music with a dynamic auditory stimulus as a new music listening programme in USN rehabilitation is worthy of further investigation. Instrument playing intervention can be considered as a multisensory stimulation to ameliorate neglect performance via multiple mechanisms. However, current results only support the short-term positive effects of music-based interventions on USN.
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Affiliation(s)
- Junzi Long
- School of Rehabilitation Medicine, Henan University of Chinese Medicine, Zhengzhou, People's Republic of China
| | - Yasu Zhang
- School of Rehabilitation Medicine, Henan University of Chinese Medicine, Zhengzhou, People's Republic of China
| | - Xiaomin Liu
- School of Rehabilitation Medicine, Henan University of Chinese Medicine, Zhengzhou, People's Republic of China
| | - Qian Gao
- School of Rehabilitation Medicine, Henan University of Chinese Medicine, Zhengzhou, People's Republic of China
| | - Mengyang Pan
- School of Rehabilitation Medicine, Henan University of Chinese Medicine, Zhengzhou, People's Republic of China
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