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Zhu L, Cai M, Pei Z, Shi X, Dang G, Lan X, Luo X, Che X, Guo Y. Concurrent TMS-EEG to characterize cortical responses in the motor and prefrontal cortices in Parkinson's disease. Neurotherapeutics 2025:e00577. [PMID: 40246612 DOI: 10.1016/j.neurot.2025.e00577] [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: 08/21/2024] [Revised: 03/06/2025] [Accepted: 03/12/2025] [Indexed: 04/19/2025] Open
Abstract
Patients with Parkinson's disease (PD) experience both motor and non-motor symptoms. However, it remains unclear the full spectrum of PD, which requires a comprehensive assessment of both motor and non-motor cortical regions. The use of combined transcranial magnetic stimulation and electroencephalography (TMS-EEG) allows the examination of neural circuit beyond motor cortex. In this study, TMS-EEG data were collected over the primary motor cortex (M1) and dorsolateral prefrontal cortex (DLPFC) in 46 patients with PD and 27 healthy controls (HC). We analyzed TMS-evoked potentials and oscillatory powers to identify differences in cortical excitability and neural connectivity dynamics between the two cohorts. Patients with PD exhibited higher P30 amplitude following M1 stimulation compared to HCs, and there was a positive correlation between P30 amplitude and the severity of motor symptoms. DLPFC stimulation revealed an increased global mean field amplitude area under the curve (GMFA-AUC) at P30 and P60 in the PD group compared to HCs. A significant correlation was also observed within the PD group between P30 and P60 with depression scores. In addition, PD showed a significant power reduction in the alpha and beta bands during stimulation and distinct patterns emerged for each stimulation site. These findings provide novel insights into cortical network abnormalities and contribute to a better understanding of the mechanisms underlying PD.
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Affiliation(s)
- Lin Zhu
- Department of Neurology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China
| | - Min Cai
- Department of Neurology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China; Henan Key Laboratory of Neurorestoratology, Henan Joint International Research Laboratory of Neurorestoratology for Senile Dementia, Department of Neurology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
| | - Zian Pei
- Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China
| | - Xue Shi
- Department of Neurology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China
| | - Ge Dang
- Department of Neurology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China
| | - Xiaoyong Lan
- Shenzhen Bay Laboratory, Shenzhen, Guangdong, China
| | - Xiaoguang Luo
- Department of Neurology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China
| | - Xianwei Che
- Centre for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China
| | - Yi Guo
- Department of Neurology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China; Shenzhen Bay Laboratory, Shenzhen, Guangdong, China.
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2
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Xing F, Feng J, Lv L, Liu J, Chen X, Sun J, Hu P, Wang K. Altered connectivity between frontal cortex and supplementary motor area in various types of Parkinson's disease. Am J Transl Res 2024; 16:2423-2434. [PMID: 39006296 PMCID: PMC11236641 DOI: 10.62347/gtvb7800] [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: 04/16/2024] [Accepted: 05/14/2024] [Indexed: 07/16/2024]
Abstract
BACKGROUND Tremor-dominant (TD) and postural instability/gait difficulty (PIGD) are common subtypes of Parkinson's disease, each with distinct clinical manifestations and prognoses. The neural mechanisms underlying these subtypes remain unclear. This study aimed to investigate the altered connectivity of the frontal cortex and supplementary motor area (SMA) in different types of Parkinson's disease. METHODS Data of 173 participants, including 41 TD patients, 65 PIGD patients, and 67 healthy controls, were retrospectively analyzed. All subjects underwent resting-state functional magnetic resonance imaging (rs-fMRI) and clinical assessments. Differences in amplitude of low frequency fluctuation (ALFF), voxel-wise functional connectivity (FC), and functional network connectivity (FNC) among the three groups were compared, followed by partial correlation analysis. RESULTS Compared to healthy controls, the left dorsolateral superior frontal gyrus (DLSFG) ALFF was significantly increased in both PIGD and TD patients. The FC between the left DLSFG and the left SMA, as well as between the left paracentral lobule and the right DLSFG, was significantly decreased. Similarly, the FNC between the visual network and the auditory network was reduced. Compared to TD patients, PIGD patients showed a significantly higher ALFF in the left DLSFG and a notably reduced FC between the left DLSFG and left SMA. Additionally, the FC of the left DLSFG-SMA was inversely correlated with the PIGD score exclusively in PIGD patients. The FNC of the visual-auditory network was inversely associated with the tremor score only in TD patients. CONCLUSION Decreases in the left DLSFG-SMA connectivity may be a key feature of the PIGD subtype, while reduced VN-AUD connectivity may characterize the TD subtype.
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Affiliation(s)
- Fengbo Xing
- Department of Neurology, The First Affiliated Hospital of Anhui Medical UniversityHefei 230000, Anhui, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric DisordersHefei 230032, Anhui, China
- Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental HealthHefei 230000, Anhui, China
| | - Jingjing Feng
- Department of Neurology, The First Affiliated Hospital of Anhui Medical UniversityHefei 230000, Anhui, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric DisordersHefei 230032, Anhui, China
- Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental HealthHefei 230000, Anhui, China
| | - Lingling Lv
- Department of Neurology, The First Affiliated Hospital of Anhui Medical UniversityHefei 230000, Anhui, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric DisordersHefei 230032, Anhui, China
- Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental HealthHefei 230000, Anhui, China
| | - Jiaqiu Liu
- Department of Neurology, The First Affiliated Hospital of Anhui Medical UniversityHefei 230000, Anhui, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric DisordersHefei 230032, Anhui, China
- Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental HealthHefei 230000, Anhui, China
| | - Xin Chen
- Department of Neurology, The First Affiliated Hospital of Anhui Medical UniversityHefei 230000, Anhui, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric DisordersHefei 230032, Anhui, China
- Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental HealthHefei 230000, Anhui, China
| | - Jinmei Sun
- Department of Neurology, The First Affiliated Hospital of Anhui Medical UniversityHefei 230000, Anhui, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric DisordersHefei 230032, Anhui, China
- Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental HealthHefei 230000, Anhui, China
| | - Panpan Hu
- Department of Neurology, The First Affiliated Hospital of Anhui Medical UniversityHefei 230000, Anhui, China
- School of Mental Health and Psychological Sciences, Anhui Medical UniversityHefei 230000, Anhui, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric DisordersHefei 230032, Anhui, China
- Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental HealthHefei 230000, Anhui, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science CenterHefei 230088, Anhui, China
- Anhui Institute of Translational MedicineHefei 230000, Anhui, China
| | - Kai Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical UniversityHefei 230000, Anhui, China
- School of Mental Health and Psychological Sciences, Anhui Medical UniversityHefei 230000, Anhui, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric DisordersHefei 230032, Anhui, China
- Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental HealthHefei 230000, Anhui, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science CenterHefei 230088, Anhui, China
- Anhui Institute of Translational MedicineHefei 230000, Anhui, China
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Chauvin RJ, Newbold DJ, Nielsen AN, Miller RL, Krimmel SR, Metoki A, Wang A, Van AN, Montez DF, Marek S, Suljic V, Baden NJ, Ramirez-Perez N, Scheidter KM, Monk JS, Whiting FI, Adeyemo B, Snyder AZ, Kay BP, Raichle ME, Laumann TO, Gordon EM, Dosenbach NU. Disuse-driven plasticity in the human thalamus and putamen. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.11.07.566031. [PMID: 37987000 PMCID: PMC10659348 DOI: 10.1101/2023.11.07.566031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
Motor adaptation in cortico-striato-thalamo-cortical loops has been studied mainly in animals using invasive electrophysiology. Here, we leverage functional neuroimaging in humans to study motor circuit plasticity in the human subcortex. We employed an experimental paradigm that combined two weeks of upper-extremity immobilization with daily resting-state and motor task fMRI before, during, and after the casting period. We previously showed that limb disuse leads to decreased functional connectivity (FC) of the contralateral somatomotor cortex (SM1) with the ipsilateral somatomotor cortex, increased FC with the cingulo-opercular network (CON) as well as the emergence of high amplitude, fMRI signal pulses localized in the contralateral SM1, supplementary motor area and the cerebellum. From our prior observations, it remains unclear whether the disuse plasticity affects the thalamus and striatum. We extended our analysis to include these subcortical regions and found that both exhibit strengthened cortical FC and spontaneous fMRI signal pulses induced by limb disuse. The dorsal posterior putamen and the central thalamus, mainly CM, VLP and VIM nuclei, showed disuse pulses and FC changes that lined up with fmri task activations from the Human connectome project motor system localizer, acquired before casting for each participant. Our findings provide a novel understanding of the role of the cortico-striato-thalamo-cortical loops in human motor plasticity and a potential link with the physiology of sleep regulation. Additionally, similarities with FC observation from Parkinson Disease (PD) questions a pathophysiological link with limb disuse.
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Affiliation(s)
- Roselyne J. Chauvin
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
| | - Dillan J. Newbold
- Department of Neurology, New York University Grossman School of Medicine, New York, New York 10016, USA
| | - Ashley N. Nielsen
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
| | - Ryland L. Miller
- Basque Center on Cognition, Brain and Language, Donostia, Gipuzkoa, Spain
| | - Samuel R. Krimmel
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
| | - Athanasia Metoki
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
| | - Anxu Wang
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
- Department of Biomedical Engineering, Washington University in St. Louis, MO 63130
| | - Andrew N. Van
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
- Division of Computation and Data Science, Washington University School of Medicine, St. Louis, MO 63110
| | - David F. Montez
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110
| | - Scott Marek
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110
| | - Vahdeta Suljic
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
| | - Noah J. Baden
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
| | | | - Kristen M. Scheidter
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
| | - Julia S. Monk
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
| | - Forrest I. Whiting
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
| | - Babatunde Adeyemo
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
| | - Abraham Z. Snyder
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110
| | - Benjamin P. Kay
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
| | - Marcus E. Raichle
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St Louis, MO, USA
- Department of Neuroscience, Washington University School of Medicine, St Louis, MO, USA
| | - Timothy O. Laumann
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110
| | - Evan M. Gordon
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110
| | - Nico U.F. Dosenbach
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
- Department of Biomedical Engineering, Washington University in St. Louis, MO 63130
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110
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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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Rechtman E, Navarro E, de Water E, Tang CY, Curtin P, Papazaharias DM, Ambrosi C, Mascaro L, Cagna G, Gasparotti R, Invernizzi A, Reichenberg A, Austin C, Arora M, Smith DR, Lucchini RG, Wright RO, Placidi D, Horton MK. Early-Life Critical Windows of Susceptibility to Manganese Exposure and Sex-Specific Changes in Brain Connectivity in Late Adolescence. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2023; 3:460-469. [PMID: 37519473 PMCID: PMC10382697 DOI: 10.1016/j.bpsgos.2022.03.016] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 03/16/2022] [Accepted: 03/20/2022] [Indexed: 11/30/2022] Open
Abstract
Background Early-life environmental exposures during critical windows (CWs) of development can impact life course health. Exposure to neuroactive metals such as manganese (Mn) during prenatal and early postnatal CWs may disrupt typical brain development, leading to persistent behavioral changes. Males and females may be differentially vulnerable to Mn, presenting distinctive CWs to Mn exposure. Methods We used magnetic resonance imaging to investigate sex-specific associations between early-life Mn uptake and intrinsic functional connectivity in adolescence. A total of 71 participants (15-23 years old; 53% female) from the Public Health Impact of Manganese Exposure study completed a resting-state functional magnetic resonance imaging scan. We estimated dentine Mn concentrations at prenatal, postnatal, and early childhood periods using laser ablation-inductively coupled plasma-mass spectrometry. We performed seed-based correlation analyses to investigate the moderating effect of sex on the associations between Mn and intrinsic functional connectivity adjusting for age and socioeconomic status. Results We identified significant sex-specific associations between dentine Mn at all time points and intrinsic functional connectivity in brain regions involved in cognitive and motor function: 1) prenatal: dorsal striatum, occipital/frontal lobes, and middle frontal gyrus; 2) postnatal: right putamen and cerebellum; and 3) early childhood: putamen and occipital, frontal, and temporal lobes. Network associations differed depending on exposure timing, suggesting that different brain networks may present distinctive CWs to Mn. Conclusions These findings suggest that the developing brain is vulnerable to Mn exposure, with effects lasting through late adolescence, and that females and males are not equally vulnerable to these effects. Future studies should investigate cognitive and motor outcomes related to these associations.
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Affiliation(s)
- Elza Rechtman
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Esmeralda Navarro
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Erik de Water
- Department of Psychiatry & Behavioral Sciences, University of Minnesota, Minneapolis, Minnesota
| | - Cheuk Y. Tang
- Department of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Paul Curtin
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Demetrios M. Papazaharias
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Claudia Ambrosi
- ASST Spedali Civili Hospital, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
| | - Lorella Mascaro
- ASST Spedali Civili Hospital, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
| | - Giuseppa Cagna
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
| | - Roberto Gasparotti
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
| | - Azzurra Invernizzi
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Abraham Reichenberg
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Christine Austin
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Manish Arora
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Donald R. Smith
- Department of Microbiology and Environmental Toxicology, University of California Santa Cruz, Santa Cruz, California
| | - Roberto G. Lucchini
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
- Department of Environmental Health Sciences, Robert Stempel College of Public Health and Social Work, Florida International University, Miami, Florida
| | - Robert O. Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Donatella Placidi
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
| | - Megan K. Horton
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
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Wang Q, Yu M, Yan L, Xu J, Wang Y, Zhou G, Liu W. Altered functional connectivity of the primary motor cortex in tremor dominant and postural instability gait difficulty subtypes of early drug-naive Parkinson's disease patients. Front Neurol 2023; 14:1151775. [PMID: 37251215 PMCID: PMC10213280 DOI: 10.3389/fneur.2023.1151775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 04/04/2023] [Indexed: 05/31/2023] Open
Abstract
Background The primary motor cortex (M1) is an important hub in the motor circuitry of Parkinson's disease (PD), but the subregions' function and their correlation to tremor dominant (TD) and postural instability and gait disturbance (PIGD) with PD remain unclear. This study aimed to determine whether the functional connectivity (FC) of the M1 subregions varied between the PD and PIGD subtypes. Methods We recruited 28 TD patients, 49 PIGD patients, and 42 healthy controls (HCs). M1 was divided into 12 regions of interest using the Human Brainnetome Atlas template to compare FC among these groups. Results Compared with HCs, TD and PIGD patients exhibited increased FC between the left upper limb region (A4UL_L) and the right caudate nucleus (CAU)/left putamen (PUT), between the right A4UL (A4UL_R) and the left anterior cingulate and paracingulate gyri (ACG)/bilateral cerebellum4_5 (CRBL4_5)/left PUT/right CAU/left supramarginal gyrus/left middle frontal gyrus (MFG), as well as decreased connectivity between the A4UL_L and the left postcentral gyrus and the bilateral cuneus, and between the A4UL_R and the right inferior occipital gyrus. TD patients showed increased FC between the right caudal dorsolateral area 6 (A6CDL_R) and the left ACG/right MFG, between the A4UL_L and the right CRBL6/right middle frontal gyrus, orbital part/bilateral inferior frontal gyrus, and orbital part (ORBinf), and between the A4UL_R and the left ORBinf/right MFG/right insula (INS). PIGD patients displayed increased connectivity between the A4UL_L and the left CRBL4_5. Compared with PIGD patients, TD patients exhibited increased connectivity between the A6CDL_R and the left ACG/right MFG and between the A4UL_R and the left ACG/left ORBinf/right INS/right MFG. Furthermore, in TD and PIGD groups, the FC strength between the A6CDL_R and right MFG was negatively correlated with PIGD scores, while the FC strength between the A4UL_R and left ORBinf/right INS was positively correlated with TD scores and tremor scores. Conclusion Our results demonstrated that early TD and PIGD patients share some common injury and compensatory mechanisms. TD patients occupied more resources in the MFG, ORBinf, INS, and ACG, which can be used as biomarkers to distinguish them from PIGD patients.
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Affiliation(s)
- Qi Wang
- Department of Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
- Department of Neurology, Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | - Miao Yu
- Department of Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Lei Yan
- Department of Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Jianxia Xu
- Department of Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Yajie Wang
- Department of Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Gaiyan Zhou
- Department of Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Weiguo Liu
- Department of Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
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7
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Pu L, Liu T, Tang WC, Song C, Jin M, Ren L, Li T, Liang Z. Greater prefrontal activation during sitting toe tapping predicts severer freezing of gait in Parkinson's disease: an fNIRS study. Cereb Cortex 2023; 33:959-968. [PMID: 35348637 DOI: 10.1093/cercor/bhac114] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 02/20/2022] [Accepted: 02/21/2022] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE Previous studies have revealed that, compared with Parkinson's disease (PD) patients without freezing of gait (FoG), the ones with FoG showed greater prefrontal activation while doing lower-limb movements involving standing, walking and turning, which require both locomotor and balance control. However, the relation between FoG and pure locomotor control as well as its underlying mechanism remain unclear. METHODS A total of 56 PD subjects were recruited and allocated to PD-FoG and PD-noFoG subgroups, and 34 age-matched heathy adults were included as heathy control (HC). Functional near-infrared spectroscopy was used to measure their prefrontal activation in a sitting lower-limb movement task, wherein subjects were asked to sit and tap their right toes as big and as fast as possible. RESULTS Result of one-way ANOVA (Group: PD-FoG vs. PD-noFoG vs. HC) revealed greater activation in the right prefrontal cortex in the PD-FoG group than in the other 2 groups. Linear mixed-effects model showed consistent result. Furthermore, the right prefrontal activation positively correlated with the severity of FoG symptoms in PD-FoG patients. CONCLUSION These findings suggested that PD patients with FoG require additional cognitive resources to compensate their damaged automaticity in locomotor control, which is more pronounced in severe FoG patients than milder ones.
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Affiliation(s)
- Lanlan Pu
- Department of Neurology, First Affiliated Hospital of Dalian Medical University, Zhongshan Road, Dalian, Liaoning 116011, China
| | - Tao Liu
- School of Health, Fujian Medical University, Xuefubei Road, Fuzhou 350122, Fujian, China.,School of Management, Shanghai University, Shangda Road, Shanghai 200444, China.,School of Management, Zhejiang University, Yuhangtang Road, Hangzhou 310058, Zhejiang, China
| | - William C Tang
- Department of Biomedical Engineering, University of California, Irvine 92697, CA, USA
| | - Chunli Song
- Department of Neurology, First Affiliated Hospital of Dalian Medical University, Zhongshan Road, Dalian, Liaoning 116011, China
| | - Mingyan Jin
- School of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Linggong Road, Dalian 116024, Liaoning, China
| | - Lu Ren
- Department of Neurology, First Affiliated Hospital of Dalian Medical University, Zhongshan Road, Dalian, Liaoning 116011, China
| | - Tao Li
- Department of Neurology, First Affiliated Hospital of Dalian Medical University, Zhongshan Road, Dalian, Liaoning 116011, China
| | - Zhanhua Liang
- Department of Neurology, First Affiliated Hospital of Dalian Medical University, Zhongshan Road, Dalian, Liaoning 116011, China
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8
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Hensel L, Lange F, Tscherpel C, Viswanathan S, Freytag J, Volz LJ, Eickhoff SB, Fink GR, Grefkes C. Recovered grasping performance after stroke depends on interhemispheric frontoparietal connectivity. Brain 2022; 146:1006-1020. [PMID: 35485480 PMCID: PMC9976969 DOI: 10.1093/brain/awac157] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 03/19/2022] [Accepted: 04/14/2022] [Indexed: 01/11/2023] Open
Abstract
Activity changes in the ipsi- and contralesional parietal cortex and abnormal interhemispheric connectivity between these regions are commonly observed after stroke, however, their significance for motor recovery remains poorly understood. We here assessed the contribution of ipsilesional and contralesional anterior intraparietal cortex (aIPS) for hand motor function in 18 recovered chronic stroke patients and 18 healthy control subjects using a multimodal assessment consisting of resting-state functional MRI, motor task functional MRI, online-repetitive transcranial magnetic stimulation (rTMS) interference, and 3D movement kinematics. Effects were compared against two control stimulation sites, i.e. contralesional M1 and a sham stimulation condition. We found that patients with good motor outcome compared to patients with more substantial residual deficits featured increased resting-state connectivity between ipsilesional aIPS and contralesional aIPS as well as between ipsilesional aIPS and dorsal premotor cortex. Moreover, interhemispheric connectivity between ipsilesional M1 and contralesional M1 as well as ipsilesional aIPS and contralesional M1 correlated with better motor performance across tasks. TMS interference at individual aIPS and M1 coordinates led to differential effects depending on the motor task that was tested, i.e. index finger-tapping, rapid pointing movements, or a reach-grasp-lift task. Interfering with contralesional aIPS deteriorated the accuracy of grasping, especially in patients featuring higher connectivity between ipsi- and contralesional aIPS. In contrast, interference with the contralesional M1 led to impaired grasping speed in patients featuring higher connectivity between bilateral M1. These findings suggest differential roles of contralesional M1 and aIPS for distinct aspects of recovered hand motor function, depending on the reorganization of interhemispheric connectivity.
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Affiliation(s)
- Lukas Hensel
- Faculty of Medicine and University Hospital Cologne, Department of Neurology, University of Cologne, Cologne, Germany
| | - Fabian Lange
- Faculty of Medicine and University Hospital Cologne, Department of Neurology, University of Cologne, Cologne, Germany
| | - Caroline Tscherpel
- Faculty of Medicine and University Hospital Cologne, Department of Neurology, University of Cologne, Cologne, Germany,Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Centre Jülich, Jülich, Germany
| | - Shivakumar Viswanathan
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Centre Jülich, Jülich, Germany
| | - Jana Freytag
- Faculty of Medicine and University Hospital Cologne, Department of Neurology, University of Cologne, Cologne, Germany
| | - Lukas J Volz
- Faculty of Medicine and University Hospital Cologne, Department of Neurology, University of Cologne, Cologne, Germany
| | - Simon B Eickhoff
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany,Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - Gereon R Fink
- Faculty of Medicine and University Hospital Cologne, Department of Neurology, University of Cologne, Cologne, Germany,Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Centre Jülich, Jülich, Germany
| | - Christian Grefkes
- Correspondence to: Christian Grefkes Institute of Neuroscience and Medicine - Cognitive Neuroscience (INM-3) Research Centre Juelich, Juelich, Germany E-mail:
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9
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Miranda M, Campo CG, Birba A, Neely A, Hernandez FDT, Faure E, Costa GR, Ibáñez A, García A. An action-concept processing advantage in a patient with a double motor cortex. Brain Cogn 2022; 156:105831. [PMID: 34922210 PMCID: PMC9944406 DOI: 10.1016/j.bandc.2021.105831] [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: 10/04/2021] [Revised: 12/06/2021] [Accepted: 12/07/2021] [Indexed: 02/08/2023]
Abstract
Patients with atrophy in motor brain regions exhibit selective deficits in processing action-related meanings, suggesting a link between movement conceptualization and the amount of regional tissue. Here we examine such a relation in a unique opposite model: a rare patient with a double cortex (due to subcortical band heterotopia) in primary/supplementary motor regions, and no double cortex in multimodal semantic regions. We measured behavioral performance in action- and object-concept processing as well and resting-state functional connectivity. Both dimensions involved comparisons with healthy controls. Results revealed preserved accuracy in action and object categories for the patient. However, unlike controls, the patient exhibited faster performance for action than object concepts, a difference that was uninfluenced by general cognitive abilities. Moreover, this pattern was accompanied by heightened functional connectivity between the bilateral primary motor cortices. This suggests that a functionally active double motor cortex may entail action-processing advantages. Our findings offer new constraints for models of action semantics and motor-region function at large.
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Affiliation(s)
- Magdalena Miranda
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina,Instituto de Neurociencia Cognitiva y Traslacional (INCyT), Buenos Aires, Argentina
| | - Cecilia Gonzalez Campo
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina,Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina
| | - Agustina Birba
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina,Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina,Latin American Brain Health (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Alejandra Neely
- Latin American Brain Health (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
| | | | - Evelyng Faure
- Department of Radiology, Clínica las Condes, Santiago, Chile,Advanced Epilepsy Center, Clínica las Condes, Santiago, Chile
| | - Gonzalo Rojas Costa
- Department of Radiology, Clínica las Condes, Santiago, Chile,Advanced Epilepsy Center, Clínica las Condes, Santiago, Chile,Health Innovation Center, Clínica las Condes, Santiago, Chile
| | - Agustín Ibáñez
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina,Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina,Latin American Brain Health (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile,Global Brain Health Institute, University of California-San Francisco, San Francisco, California, and Trinity College Dublin, Dublin, Ireland
| | - Adolfo García
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina; Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina; Global Brain Health Institute, University of California-San Francisco, San Francisco, CA, United States; and Trinity College Dublin, Dublin, Ireland; Departamento de Lingüística y Literatura, Facultad de Humanidades, Universidad de Santiago de Chile, Santiago, Chile.
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10
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Shim JH, Baek HM. Diffusion Measure Changes of Substantia Nigra Subregions and the Ventral Tegmental Area in Newly Diagnosed Parkinson's Disease. Exp Neurobiol 2021; 30:365-373. [PMID: 34737241 PMCID: PMC8572662 DOI: 10.5607/en21025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 09/13/2021] [Accepted: 09/22/2021] [Indexed: 12/22/2022] Open
Abstract
Historically, studies have extensively examined the basal ganglia in Parkinson’s disease for specific characteristics that can be observed with medical imaging. One particular methodology used for detecting changes that occur in Parkinson’s disease brains is diffusion tensor imaging, which yields diffusion indices such as fractional anisotropy and radial diffusivity that have been shown to correlate with axonal damage. In this study, we compare the diffusion measures of basal ganglia structures (with substantia nigra divided into subregions, pars compacta, and pars reticula), as well as the diffusion measures of the diffusion tracts that pass through each pair of basal ganglia structures to see if significant differences in diffusion measures can be observed in structures or tracts in newly diagnosed Parkinson’s disease patients. Additionally, we include the ventral tegmental area, a structure connected to various basal ganglia structures affected by dopaminergic neuronal loss and have historically shown significant alterations in Parkinson’s disease, in our analysis. We found significant fractional anisotropy differences in the putamen, and in the diffusion tracts that pass through pairs of both substantia nigra subregions, subthalamic nucleus, parabrachial pigmental nucleus, ventral tegmental area. Additionally, we found significant radial diffusivity differences in diffusion tracts that pass through the parabrachial nucleus, putamen, both substantia nigra subregions, and globus pallidus externa. We were able to find significant diffusion measure differences in structures and diffusion tracts, potentially due to compensatory mechanisms in response to dopaminergic neuronal loss that occurs in newly diagnosed Parkinson’s disease patients.
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Affiliation(s)
- Jae-Hyuk Shim
- Department of Health Sciences and Technology, GAIHST, Gachon University, Incheon 21999, Korea
| | - Hyeon-Man Baek
- Department of Health Sciences and Technology, GAIHST, Gachon University, Incheon 21999, Korea
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11
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Johari K, Behroozmand R. Neural correlates of speech and limb motor timing deficits revealed by aberrant beta band desynchronization in Parkinson's disease. Clin Neurophysiol 2021; 132:2711-2721. [PMID: 34373199 DOI: 10.1016/j.clinph.2021.06.022] [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: 12/19/2020] [Revised: 05/25/2021] [Accepted: 06/06/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVE We used a classical motor reaction time paradigm to examine the effects of Parkinson's disease (PD) on the mechanisms of speech production and upper limb movement. METHODS Electro-encephalography (EEG) signals were recorded in PD and control groups during speech vowel production and button press tasks in response to temporally predictable and unpredictable visual stimuli. RESULTS Motor reaction times were slower in PD vs. control group independent of stimulus timing and movement modality. This effect was accompanied by stronger desynchronizations of low beta (13-18 Hz) and high beta (18-25 Hz) band neural oscillations in PD vs. control prior to the onset of speech and hand movement. In addition, pre-movement desynchronization of beta band oscillations were correlated with motor reaction time in control subjects with faster responses associated with weaker beta band desynchronizations during the planning phase of movement. However, no such effect was found in the PD group. CONCLUSIONS We suggest that the aberrant pattern of beta band desynchronization is a neural correlate of speech and upper limb motor timing deficits as a result of cortico-striatal pathology in PD. SIGNIFICANCE These findings motivate interventions targeted toward normalizing beta band activities for improving speech and upper limb movement timing in PD.
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Affiliation(s)
- Karim Johari
- Speech Neuroscience Lab, Department of Communication Sciences and Disorders, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, United States; Human Brain Research Lab, Department of Neurosurgery, University of Iowa, 200 Hawkins Dr., Iowa City, IA 52242, United States
| | - Roozbeh Behroozmand
- Speech Neuroscience Lab, Department of Communication Sciences and Disorders, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, United States.
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12
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Tinaz S. Functional Connectome in Parkinson's Disease and Parkinsonism. Curr Neurol Neurosci Rep 2021; 21:24. [PMID: 33817766 DOI: 10.1007/s11910-021-01111-4] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/24/2021] [Indexed: 01/18/2023]
Abstract
PURPOSE OF REVIEW There has been an exponential growth in functional connectomics research in neurodegenerative disorders. This review summarizes the recent findings and limitations of the field in Parkinson's disease (PD) and atypical parkinsonian syndromes. RECENT FINDINGS Increasingly more sophisticated methods ranging from seed-based to network and whole-brain dynamic functional connectivity have been used. Results regarding the disruption in the functional connectome vary considerably based on disease severity and phenotypes, and treatment status in PD. Non-motor symptoms of PD also link to the dysfunction in heterogeneous networks. Studies in atypical parkinsonian syndromes are relatively scarce. An important clinical goal of functional connectomics in neurodegenerative disorders is to establish the presence of pathology, track disease progression, predict outcomes, and monitor treatment response. The obstacles of reliability and reproducibility in the field need to be addressed to improve the potential of the functional connectome as a biomarker for these purposes in PD and atypical parkinsonian syndromes.
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Affiliation(s)
- Sule Tinaz
- Department of Neurology, Division of Movement Disorders, Yale University School of Medicine, 15 York St, LCI 710, New Haven, CT, 06510, USA.
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13
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Cao X, Lee K, Huang Q. Bayesian variable selection in logistic regression with application to whole-brain functional connectivity analysis for Parkinson's disease. Stat Methods Med Res 2020; 30:826-842. [PMID: 33308007 DOI: 10.1177/0962280220978990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Parkinson's disease is a progressive, chronic, and neurodegenerative disorder that is primarily diagnosed by clinical examinations and magnetic resonance imaging (MRI). In this paper, we propose a Bayesian model to predict Parkinson's disease employing a functional MRI (fMRI) based radiomics approach. We consider a spike and slab prior for variable selection in high-dimensional logistic regression models, and present an approximate Gibbs sampler by replacing a logistic distribution with a t-distribution. Under mild conditions, we establish model selection consistency of the induced posterior and illustrate the performance of the proposed method outperforms existing state-of-the-art methods through simulation studies. In fMRI analysis, 6216 whole-brain functional connectivity features are extracted for 50 healthy controls along with 70 Parkinson's disease patients. We apply our method to the resulting dataset and further show its benefits with a higher average prediction accuracy of 0.83 compared to other contenders based on 10 random splits. The model fitting procedure also reveals the most discriminative brain regions for Parkinson's disease. These findings demonstrate that the proposed Bayesian variable selection method has the potential to support radiological diagnosis for patients with Parkinson's disease.
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Affiliation(s)
- Xuan Cao
- Division of Statistics and Data Science, Department of Mathematical Sciences, University of Cincinnati
| | - Kyoungjae Lee
- Department of Statistics, Inha University, Incheon, Korea
| | - Qingling Huang
- Department of Radiology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
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14
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Kann SJ, Chang C, Manza P, Leung HC. Akinetic rigid symptoms are associated with decline in a cortical motor network in Parkinson's disease. NPJ PARKINSONS DISEASE 2020; 6:19. [PMID: 32885038 PMCID: PMC7445297 DOI: 10.1038/s41531-020-00120-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Accepted: 07/09/2020] [Indexed: 12/12/2022]
Abstract
The akinetic/rigid (AR) motor subtype of Parkinson's Disease is associated with increased rates of motor and cognitive decline. Cross-sectional studies examining the neural correlates of AR have found abnormalities in both subcortical and cortical networks involved in motor planning and execution relative to controls. To better understand how these cross-sectional findings are implicated in the unique decline associated with the AR subtype, we examined whether baseline AR symptoms are associated with longitudinal decline of these networks, in contrast to other motor symptoms such as tremor. Using whole brain multiple regression analyses we found that worse AR symptoms at baseline were associated with greater gray matter loss over four years in superior parietal and paracentral lobules and motor cortex. These regions also showed altered connectivity patterns with posterior parietal, premotor, pre-supplementary motor area and dorsolateral prefrontal regions in association with AR symptoms across subjects. Thus, AR symptoms are related to gray matter decline and aberrant functional connectivity in a network of frontal-parietal regions critical for motor planning and execution. These structural and functional abnormalities may therefore be implicated in the more aggressive course of decline associated with the AR relative to tremor-dominant subtype.
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Affiliation(s)
- Sarah J Kann
- Department of Psychology, Integrative Neuroscience Program, Stony Brook University, Stony Brook, NY USA
| | - Chiapei Chang
- Renaissance School of Medicine, Stony Brook University, Stony Brook, NY USA
| | - Peter Manza
- National Institute on Alcoholism and Alcohol Abuse, National Institute of Health, Bethesda, MD USA
| | - Hoi-Chung Leung
- Department of Psychology, Integrative Neuroscience Program, Stony Brook University, Stony Brook, NY USA
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15
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Shen Y, Hu J, Chen Y, Liu W, Li Y, Yan L, Xie C, Zhang W, Yu M, Liu W. Levodopa Changes Functional Connectivity Patterns in Subregions of the Primary Motor Cortex in Patients With Parkinson's Disease. Front Neurosci 2020; 14:647. [PMID: 32733186 PMCID: PMC7360730 DOI: 10.3389/fnins.2020.00647] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Accepted: 05/25/2020] [Indexed: 12/12/2022] Open
Abstract
Background The primary motor cortex (M1) is a critical node in Parkinson’s disease (PD)-related motor circuitry; however, the functional roles of its subregions are poorly understood. In this study, we investigated changes in the functional connectivity patterns of M1 subregions and their relationships to improved clinical symptoms following levodopa administration. Methods Thirty-six PD patients and 37 healthy controls (HCs) were enrolled. A formal levodopa challenge test was conducted in the PD group, and the Unified Parkinson’s Disease Rating Scale motor section (UPDRS-III) was assessed before (off state) and 1 h after administration of levodopa (on state). The PD group underwent resting-state functional magnetic resonance imaging in both off and on states, whereas the HC group was scanned once. We used the Human Brainnetome Atlas template to subdivide M1 into twelve regions of interest (ROIs). Functional connectivity (FC) was compared between PD on and off states [paired t-test, voxel-level p < 0.001, cluster-level p < 0.05, Gaussian random field (GRF) correction] and between patients and HC (two-sample t-test voxel-level p < 0.001, cluster-level p < 0.05). Correlations between ΔFC (differences in FC between PD off and on states) and clinical symptom improvements were examined. Results There was decreased FC between the right caudal dorsolateral area 6 and the anterior cingulate gyrus (ACC), the right upper limb region and the left medial dorsal thalamus (mdTHA), as well as increased FC between the left tongue and larynx region and the left medial frontal gyrus. ΔFC between the right caudal dorsolateral area 6 and ACC was positively correlated with improvements in UPDRS-III total scores as well as the rigidity (item 22) and bradykinesia (items 23–26 and 31) subscores. ΔFC between the right upper limb region and left thalamus was positively correlated with improvements in the left upper limb tremor (items 20c and 21b) and postural tremor (item 21b) subscores. Conclusions Our results reveal novel information regarding the underlying mechanisms in the motor circuits in the M1 and a promising way to explore the internal function of the M1 in PD patients. Notably, M1 is a potential therapeutic target in PD, and the exploration of its subregions provides a basis and a source of new insights for clinical intervention and precise drug treatment.
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Affiliation(s)
- Yang Shen
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Jun Hu
- Department of Radiology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Yong Chen
- Department of Laboratory Medicine, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Wan Liu
- Department of Rehabilitation, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Yuqian Li
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Lei Yan
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Chunming Xie
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Wenbin Zhang
- Department of Functional Neurosurgery, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Miao Yu
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Weiguo Liu
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
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A K, Prakash SS, P S, Carshia S A. Investigations on the Functional connectivity disruptive patterns of progressive neurodegenerative disorders. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2019; 2019:800-803. [PMID: 31946016 DOI: 10.1109/embc.2019.8856919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Alzheimer's Disease (AD) and Parkinson's Disease (PD) are neurodegenerative diseases of the brain that affects the memory and motor regions respectively. Neurological disorders are the result of alterations at molecular level due to complex mechanisms between genetic and environmental factors. Classical approaches are focused on determining how disruptions in functional connectivity occur in the memory regions of AD and motor regions of PD. There have been studies stating that in addition to dementia, motor abnormalities may also be observed in Alzheimer's patients and on the other hand, dementia may occur in Parkinson's patients a year or more after the onset of motor symptoms. In this work, to substantiate this hypothesis the brain connectivity patterns and functional topology of motor and memory regions in AD and PD patients were analyzed and compared. Resting state functional connectivity (rs-fMRI) has been found to demonstrate the brain networks in both AD and PD. Graph theoretical modelling is being significantly used in studying the topology of the brain networks. The results show the disruption of connectivity in motor regions in later stages of AD in addition to memory regions and conversely in PD the memory regions were found to have disrupted connectivity in addition to the motor regions. Further, the Z scores of intra and inter hemispheric regions in AD and PD also indicate the disruption in connectivity as the disease progresses.
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