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Liu X, Zhang Y, Weng Y, Zhong M, Wang L, Gao Z, Hu H, Zhang Y, Huang B, Huang R. Levodopa therapy affects brain functional network dynamics in Parkinson's disease. Prog Neuropsychopharmacol Biol Psychiatry 2024; 136:111169. [PMID: 39401562 DOI: 10.1016/j.pnpbp.2024.111169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Revised: 09/29/2024] [Accepted: 10/08/2024] [Indexed: 10/22/2024]
Abstract
Levodopa (L-dopa) therapy is the most effective pharmacological treatment for motor symptoms of Parkinson's disease (PD). However, its effect on brain functional network dynamics is still unclear. Here, we recruited 26 PD patients and 24 healthy controls, and acquired their resting-state functional MRI data before (PD-OFF) and after (PD-ON) receiving 400 mg L-dopa. Using the independent component analysis and the sliding-window approach, we estimated the dynamic functional connectivity (dFC) and examined the effect of L-dopa on the temporal properties of dFC states, the variability of dFC and functional network topological organization. We found that PD-ON showed decreased mean dwell time in sparsely connected State 2 than PD-OFF, the transformation of the dFC state is more frequent and the variability of dFC was decreased within the auditory network and sensorimotor network in PD-ON. Our findings provide new insights to understand the dynamic neural activity induced by L-dopa therapy in PD patients.
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Affiliation(s)
- Xiaojin Liu
- Center for Educational Science and Technology, Beijing Normal University, Zhuhai 519087, China; 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; Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou 510631, China
| | - Yuze Zhang
- Department of Radiology, Guangdong Academy of Medical Sciences, Guangdong Provincial People's Hospital, Guangzhou 510080, China
| | - Yihe Weng
- 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; Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou 510631, China
| | - Miao Zhong
- 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; Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou 510631, China
| | - Lijuan Wang
- Department of Neurology, Guangdong Academy of Medical Sciences, Guangdong Provincial People's Hospital, Guangzhou 510080, China
| | - Zhenni Gao
- Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu 610066, China
| | - Huiqing Hu
- Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan 430079, China; Key Laboratory of Human Development and Mental Health of Hubei Province, School of Psychology, Central China Normal University, Wuhan 430079, China; School of Psychology, Central China Normal University, Wuhan 430079, China
| | - Yuhu Zhang
- Department of Neurology, Guangdong Academy of Medical Sciences, Guangdong Provincial People's Hospital, Guangzhou 510080, China
| | - Biao Huang
- Department of Radiology, Guangdong Academy of Medical Sciences, Guangdong Provincial People's Hospital, Guangzhou 510080, China.
| | - Ruiwang Huang
- 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; Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou 510631, China.
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Fiorenzato E, Moaveninejad S, Weis L, Biundo R, Antonini A, Porcaro C. Brain Dynamics Complexity as a Signature of Cognitive Decline in Parkinson's Disease. Mov Disord 2024; 39:305-317. [PMID: 38054573 DOI: 10.1002/mds.29678] [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: 07/26/2023] [Revised: 11/13/2023] [Accepted: 11/17/2023] [Indexed: 12/07/2023] Open
Abstract
BACKGROUND Higuchi's fractal dimension (FD) captures brain dynamics complexity and may be a promising method to analyze resting-state functional magnetic resonance imaging (fMRI) data and detect the neuronal interaction complexity underlying Parkinson's disease (PD) cognitive decline. OBJECTIVES The aim was to compare FD with a more established index of spontaneous neural activity, the fractional amplitude of low-frequency fluctuations (fALFF), and identify through machine learning (ML) models which method could best distinguish across PD-cognitive states, ranging from normal cognition (PD-NC), mild cognitive impairment (PD-MCI) to dementia (PDD). Finally, the aim was to explore correlations between fALFF and FD with clinical and cognitive PD features. METHODS Among 118 PD patients age-, sex-, and education matched with 35 healthy controls, 52 were classified with PD-NC, 46 with PD-MCI, and 20 with PDD based on an extensive cognitive and clinical evaluation. fALFF and FD metrics were computed on rs-fMRI data and used to train ML models. RESULTS FD outperformed fALFF metrics in differentiating between PD-cognitive states, reaching an overall accuracy of 78% (vs. 62%). PD showed increased neuronal dynamics complexity within the sensorimotor network, central executive network (CEN), and default mode network (DMN), paralleled by a reduction in spontaneous neuronal activity within the CEN and DMN, whose increased complexity was strongly linked to the presence of dementia. Further, we found that some DMN critical hubs correlated with worse cognitive performance and disease severity. CONCLUSIONS Our study indicates that PD-cognitive decline is characterized by an altered spontaneous neuronal activity and increased temporal complexity, involving the CEN and DMN, possibly reflecting an increased segregation of these networks. Therefore, we propose FD as a prognostic biomarker of PD-cognitive decline. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Eleonora Fiorenzato
- Parkinson's Disease and Movement Disorders Unit, Department of Neuroscience, Centre for Rare Neurological Diseases (ERN-RND), University of Padova, Padova, Italy
| | - Sadaf Moaveninejad
- Department of Neuroscience and Padova Neuroscience Center, University of Padua, Padua, Italy
| | - Luca Weis
- Parkinson's Disease and Movement Disorders Unit, Department of Neuroscience, Centre for Rare Neurological Diseases (ERN-RND), University of Padova, Padova, Italy
- IRCCS, San Camillo Hospital, Venice, Italy
| | - Roberta Biundo
- Parkinson's Disease and Movement Disorders Unit, Department of Neuroscience, Centre for Rare Neurological Diseases (ERN-RND), University of Padova, Padova, Italy
- Department of Neuroscience, Center for Neurodegenerative Disease Research (CESNE), University of Padova, Padova, Italy
- Department of General Psychology, University of Padua, Padua, Italy
| | - Angelo Antonini
- Parkinson's Disease and Movement Disorders Unit, Department of Neuroscience, Centre for Rare Neurological Diseases (ERN-RND), University of Padova, Padova, Italy
- Department of Neuroscience and Padova Neuroscience Center, University of Padua, Padua, Italy
- Department of Neuroscience, Center for Neurodegenerative Disease Research (CESNE), University of Padova, Padova, Italy
| | - Camillo Porcaro
- Department of Neuroscience and Padova Neuroscience Center, University of Padua, Padua, Italy
- Institute of Cognitive Sciences and Technologies-National Research Council, Rome, Italy
- Centre for Human Brain Health and School of Psychology, University of Birmingham, Birmingham, United Kingdom
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Hensel L, Seger A, Farrher E, Bonkhoff AK, Shah NJ, Fink GR, Grefkes C, Sommerauer M, Doppler CEJ. Fronto-striatal dynamic connectivity is linked to dopaminergic motor response in Parkinson's disease. Parkinsonism Relat Disord 2023; 114:105777. [PMID: 37549587 DOI: 10.1016/j.parkreldis.2023.105777] [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: 03/01/2023] [Revised: 07/09/2023] [Accepted: 07/25/2023] [Indexed: 08/09/2023]
Abstract
INTRODUCTION Differences in dopaminergic motor response in Parkinson's disease (PD) patients can be related to PD subtypes, and previous fMRI studies associated dopaminergic motor response with corticostriatal functional connectivity. While traditional fMRI analyses have assessed the mean connectivity between regions of interest, an important aspect driving dopaminergic response might lie in the temporal dynamics in corticostriatal connections. METHODS This study aims to determine if altered resting-state dynamic functional network connectivity (DFC) is associated with dopaminergic motor response. To test this, static and DFC were assessed in 32 PD patients and 18 healthy controls (HC). Patients were grouped as low and high responders using a median split of their dopaminergic motor response. RESULTS Patients featuring a high dopaminergic motor response were observed to spend more time in a regionally integrated state compared to HC. Furthermore, DFC between the anterior midcingulate cortex/dorsal anterior cingulate cortex (aMCC/dACC) and putamen was lower in low responders during a more segregated state and correlated with dopaminergic motor response. CONCLUSION The findings of this study revealed that temporal dynamics of fronto-striatal connectivity are associated with clinically relevant information, which may be considered when assessing functional connectivity between regions involved in motor initiation.
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Affiliation(s)
- Lukas Hensel
- University of Cologne, University Hospital Cologne, Department of Neurology, 50937, Köln, Germany; Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich, 52425, Jülich, Germany.
| | - Aline Seger
- University of Cologne, University Hospital Cologne, Department of Neurology, 50937, Köln, Germany; Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich, 52425, Jülich, Germany
| | - Ezequiel Farrher
- Institute of Neuroscience and Medicine 4 and Molecular Neuroscience and Neuroimaging (INM-4 / INM-11), Forschungszentrum Jülich, 52425, Jülich, Germany
| | - Anna K Bonkhoff
- J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, United States
| | - N Jon Shah
- Institute of Neuroscience and Medicine 4 and Molecular Neuroscience and Neuroimaging (INM-4 / INM-11), Forschungszentrum Jülich, 52425, Jülich, Germany; JARA - BRAIN - Translational Medicine, 52056, Aachen, Germany; RWTH Aachen University, Department of Neurology, 52056, Aachen, Germany
| | - Gereon R Fink
- University of Cologne, University Hospital Cologne, Department of Neurology, 50937, Köln, Germany; Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich, 52425, Jülich, Germany
| | - Christian Grefkes
- University Hospital Frankfurt, Goethe University, Department of Neurology, Frankfurt am Main, Germany
| | - Michael Sommerauer
- University of Cologne, University Hospital Cologne, Department of Neurology, 50937, Köln, Germany; Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich, 52425, Jülich, Germany
| | - Christopher E J Doppler
- University of Cologne, University Hospital Cologne, Department of Neurology, 50937, Köln, Germany; Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich, 52425, Jülich, Germany.
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Rinaldi C, Landre CB, Volpe MI, Gonçalves RG, Nunes LDS, Darienso D, Cruz AV, Oliveira JD, Rinaldi S, Fontani V, Barcessat AR. Improving Functional Capacity and Quality of Life in Parkinson's Disease Patients through REAC Neuromodulation Treatments for Mood and Behavioral Disorders. J Pers Med 2023; 13:937. [PMID: 37373926 DOI: 10.3390/jpm13060937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 05/29/2023] [Accepted: 05/31/2023] [Indexed: 06/29/2023] Open
Abstract
Parkinson's disease is a neurological disorder that affects both motor and non-motor functions, including depression, anxiety, and cognitive decline. Currently, it remains a challenge to distinguish the correlation between these aspects and their impact on one another. To try to clarify these reciprocal influences, in this study we have used specific radio electric asymmetric conveyer (REAC) technology neuromodulation treatments for behavioral mood disorders and adjustment disorders. In particular, we employed the neuro-postural optimization (NPO) and neuro-psycho-physical optimization (NPPOs) treatments. The study enrolled randomly 50 subjects of both genders previously diagnosed with Parkinson's disease for at least six months. Prior to and following REAC NPO and NPPOs treatments, we assessed the subjects using functional dysmetria (FD) evaluation, five times sit to stand test (FTSST) for postural stability, and the 12-item Short-Form Health Survey (SF-12) for quality of life (QLF) evaluation. The positive results produced by the REAC NPO and NPPOs neuromodulation treatments, specific for mood and adaptation disorders, on dysfunctional motor disorders, and quality of life confirm how the non-motor components can condition the symptomatology of Parkinsonian motor symptoms. These results also highlight the usefulness of REAC NPO and NPPOs treatments in improving the overall quality of life of these patients.
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Affiliation(s)
- Chiara Rinaldi
- Department of Neuroscience, Psychology, Drug Area, and Child Health (NEUROFARBA), University of Florence, 50121 Florence, Italy
- Department of Regenerative Medicine, Rinaldi Fontani Institute, 50144 Florence, Italy
- Department of Adaptive Neuro Psycho Physio Pathology and Neuro Psycho Physical Optimization, Rinaldi Fontani Institute, 50144 Florence, Italy
| | - Cleuton Braga Landre
- Department of Biological and Health Sciences, Federal University of Amapá-UNIFAP, Macapá 68903-419, Brazil
| | - Maria Izabel Volpe
- Department of Biological and Health Sciences, Federal University of Amapá-UNIFAP, Macapá 68903-419, Brazil
- Graduate Program in Health Sciences-PPGCS, Federal University of Amapá-UNIFAP, Macapá 68903-419, Brazil
| | - Rebeca Góes Gonçalves
- Department of Biological and Health Sciences, Federal University of Amapá-UNIFAP, Macapá 68903-419, Brazil
- Graduate Program in Health Sciences-PPGCS, Federal University of Amapá-UNIFAP, Macapá 68903-419, Brazil
| | - Lucas Dos Santos Nunes
- Department of Biological and Health Sciences, Federal University of Amapá-UNIFAP, Macapá 68903-419, Brazil
- Graduate Program in Health Sciences-PPGCS, Federal University of Amapá-UNIFAP, Macapá 68903-419, Brazil
| | - Danyela Darienso
- Department of Biological and Health Sciences, Federal University of Amapá-UNIFAP, Macapá 68903-419, Brazil
- Graduate Program in Health Sciences-PPGCS, Federal University of Amapá-UNIFAP, Macapá 68903-419, Brazil
| | - Ana Vitoria Cruz
- Department of Biological and Health Sciences, Federal University of Amapá-UNIFAP, Macapá 68903-419, Brazil
- Graduate Program in Health Sciences-PPGCS, Federal University of Amapá-UNIFAP, Macapá 68903-419, Brazil
| | - João Douglas Oliveira
- Department of Biological and Health Sciences, Federal University of Amapá-UNIFAP, Macapá 68903-419, Brazil
| | - Salvatore Rinaldi
- Department of Regenerative Medicine, Rinaldi Fontani Institute, 50144 Florence, Italy
- Department of Adaptive Neuro Psycho Physio Pathology and Neuro Psycho Physical Optimization, Rinaldi Fontani Institute, 50144 Florence, Italy
| | - Vania Fontani
- Department of Regenerative Medicine, Rinaldi Fontani Institute, 50144 Florence, Italy
- Department of Adaptive Neuro Psycho Physio Pathology and Neuro Psycho Physical Optimization, Rinaldi Fontani Institute, 50144 Florence, Italy
| | - Ana Rita Barcessat
- Graduate Program in Health Sciences-PPGCS, Federal University of Amapá-UNIFAP, Macapá 68903-419, Brazil
- Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy
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