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Khanna A, Adams J, Antoniades C, Bloem BR, Carroll C, Cedarbaum J, Cosman J, Dexter DT, Dockendorf MF, Edgerton J, Gaetano L, Goikoetxea E, Hill D, Horak F, Izmailova ES, Kangarloo T, Katabi D, Kopil C, Lindemann M, Mammen J, Marek K, McFarthing K, Mirelman A, Muller M, Pagano G, Peterschmitt MJ, Ren J, Rochester L, Sardar S, Siderowf A, Simuni T, Stephenson D, Swanson-Fischer C, Wagner JA, Jones GB. Accelerating Parkinson's Disease drug development with federated learning approaches. NPJ Parkinsons Dis 2024; 10:225. [PMID: 39567515 PMCID: PMC11579312 DOI: 10.1038/s41531-024-00837-5] [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: 08/08/2024] [Accepted: 11/07/2024] [Indexed: 11/22/2024] Open
Abstract
Parkinson's Disease is a progressive neurodegenerative disorder afflicting almost 12 million people. Increased understanding of its complex and heterogenous disease pathology, etiology and symptom manifestations has resulted in the need to design, capture and interrogate substantial clinical datasets. Herein we advocate how advances in the deployment of artificial intelligence models for Federated Data Analysis and Federated Learning can help spearhead coordinated and sustainable approaches to address this grand challenge.
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Affiliation(s)
- Amit Khanna
- Neuroscience Development, Novartis AG, Basel, Switzerland
| | - Jamie Adams
- Department of Neurology and Center for Health and Technology, University of Rochester, Rochester, NY, USA
| | | | | | - Camille Carroll
- Translational and Clinical Research Institute, Newcastle University, Newcastle-upon-Tyne, UK
| | - Jesse Cedarbaum
- Department of Neurology, Yale School of Medicine, New Haven, CT, 06511, USA
| | | | | | | | | | - Laura Gaetano
- Neuroscience Development, Novartis AG, Basel, Switzerland
| | | | - Derek Hill
- Panoramic Digital Health, Grenoble, France
| | - Fay Horak
- Oregon Health and Science University, Portland, USA
| | - Elena S Izmailova
- Koneksa Health, One World Trade Center, 285 Fulton St., New York, NY, USA
| | | | - Dina Katabi
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Catherine Kopil
- The Michael J. Fox Foundation for Parkinson's Research, New York, NY, USA
| | | | - Jennifer Mammen
- University of Massachusetts, Dartmouth, College of Nursing and Health Sciences, Dartmouth, USA
| | - Kenneth Marek
- Institute for Neurodegenerative Disorders, New Haven, CT, USA
| | | | - Anat Mirelman
- Faculty of Medicine and Sagol School of Neuroscience, Tel Aviv University and Tel Aviv Medical Center, Tel Aviv-Yafo, Israel
| | - Martijn Muller
- Critical Path Institute for Parkinson's Disease Consortium, Critical Path Institute, 1840 E River Rd, Suite 100, Tucson, AZ, 85718, USA
| | | | | | - Jie Ren
- Merck & Co., Inc., Rahway, NJ, USA
| | - Lynn Rochester
- Translational and Clinical Research Institute, Newcastle University, Newcastle-upon-Tyne, UK
| | - Sakshi Sardar
- Critical Path Institute for Parkinson's Disease Consortium, Critical Path Institute, 1840 E River Rd, Suite 100, Tucson, AZ, 85718, USA
| | - Andrew Siderowf
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Tanya Simuni
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Diane Stephenson
- Critical Path Institute for Parkinson's Disease Consortium, Critical Path Institute, 1840 E River Rd, Suite 100, Tucson, AZ, 85718, USA
| | - Christine Swanson-Fischer
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA
| | - John A Wagner
- Koneksa Health, One World Trade Center, 285 Fulton St., New York, NY, USA
| | - Graham B Jones
- Data, Design and Clinical Innovation, Novartis Pharmaceuticals, Cambridge, MA, USA.
- Tufts University Medical Center, Boston, MA, USA.
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Yu KC, Wiesman AI, Davenport E, Flashman LA, Urban J, Nagarajan SS, Sai KS, Stitzel J, Maldjian JA, Whitlow CT. Reduced Cortical Excitability is Associated with Cognitive Symptoms in Concussed Adolescent Football Players. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.09.23.24314232. [PMID: 39399019 PMCID: PMC11469467 DOI: 10.1101/2024.09.23.24314232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 10/15/2024]
Abstract
Background American tackle football is associated with high rates of concussion, leading to neurophysiological disturbances and debilitating clinical symptoms. Previous investigations of the neurophysiological effects of concussion have largely ignored aperiodic neurophysiological activity, which is a marker of cortical excitability. Purpose We examined whether concussion during a season of high school football is related to changes in aperiodic and periodic neurophysiological activity and whether any such changes are associated with clinical outcomes. Materials and Methods Pre- and post-season resting-state magnetoencephalography (MEG) data were collected from 91 high school football players over as many as four seasons of play, for a total of 278 data collections. During these seasons of football play, a cohort of 10 individuals were diagnosed with concussion. MEG data were source-imaged, frequency-transformed and parameterized, and linear mixed models were used to examine effects of concussion on pre-to-post-season changes in neurophysiological activity. Scores on the Post-Concussive Symptom Inventory were correlated with pre-to-post-season neurophysiological changes to determine their clinical relevance. Results Concussion was associated with increased aperiodic exponents in superior frontal cortices, indicating a relative reduction in cortical excitability. This slowing of aperiodic neurophysiology mediated concussion effects on raw delta and gamma power and was associated with worse cognitive concerns across participants. Pre-to-post-season changes in aperiodic-corrected alpha and theta rhythmic activity were also decreased in posterior cortices in concussed players. Conclusion These findings indicate that concussion alters both the excitability and rhythmic signaling of the cortex, with differing spatial topographies and implications for clinical symptoms.
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Affiliation(s)
- Kevin C. Yu
- Radiology Informatics and Image Processing Laboratory, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Alex I. Wiesman
- Department of Biomedical Physiology & Kinesiology, Simon Fraser University, Burnaby, British Columbia, Canada
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Elizabeth Davenport
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Laura A. Flashman
- Department of Neuropsychology & Psychology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Jillian Urban
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Srikantan S. Nagarajan
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California
| | - Kiran Solingpuram Sai
- Department of Radiology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Joel Stitzel
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Joseph A. Maldjian
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Christopher T. Whitlow
- Radiology Informatics and Image Processing Laboratory, Wake Forest School of Medicine, Winston-Salem, North Carolina
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
- Department of Radiology, Wake Forest School of Medicine, Winston-Salem, North Carolina
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina
- Clinical and Translational Science Institute, Wake Forest School of Medicine, Winston-Salem, North Carolina
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Liang X, Wang R, Wu H, Ma Y, Liu C, Gao Y, Yu D, Ning X. A Novel Time-Frequency Parameterization Method for Oscillations in Specific Frequency Bands and Its Application on OPM-MEG. Bioengineering (Basel) 2024; 11:773. [PMID: 39199731 PMCID: PMC11351447 DOI: 10.3390/bioengineering11080773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Revised: 07/27/2024] [Accepted: 07/29/2024] [Indexed: 09/01/2024] Open
Abstract
Time-frequency parameterization for oscillations in specific frequency bands reflects the dynamic changes in the brain. It is related to cognitive behavior and diseases and has received significant attention in neuroscience. However, many studies do not consider the impact of the aperiodic noise and neural activity, including their time-varying fluctuations. Some studies are limited by the low resolution of the time-frequency spectrum and parameter-solved operation. Therefore, this paper proposes super-resolution time-frequency periodic parameterization of (transient) oscillation (STPPTO). STPPTO obtains a super-resolution time-frequency spectrum with Superlet transform. Then, the time-frequency representation of oscillations is obtained by removing the aperiodic component fitted in a time-resolved way. Finally, the definition of transient events is used to parameterize oscillations. The performance of this method is validated on simulated data and its reliability is demonstrated on magnetoencephalography. We show how it can be used to explore and analyze oscillatory activity under rhythmic stimulation.
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Affiliation(s)
- Xiaoyu Liang
- School of Instrumentation Science and Optoelectronic Engineering, Beihang University, Beijing 100191, China; (X.L.); (R.W.); (H.W.); (Y.M.); (C.L.); (Y.G.)
- Key Laboratory of Ultra-Weak Magnetic Field Measurement Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China
- Hefei National Laboratory, Hefei 230088, China
| | - Ruonan Wang
- School of Instrumentation Science and Optoelectronic Engineering, Beihang University, Beijing 100191, China; (X.L.); (R.W.); (H.W.); (Y.M.); (C.L.); (Y.G.)
- Key Laboratory of Ultra-Weak Magnetic Field Measurement Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China
| | - Huanqi Wu
- School of Instrumentation Science and Optoelectronic Engineering, Beihang University, Beijing 100191, China; (X.L.); (R.W.); (H.W.); (Y.M.); (C.L.); (Y.G.)
- Key Laboratory of Ultra-Weak Magnetic Field Measurement Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China
| | - Yuyu Ma
- School of Instrumentation Science and Optoelectronic Engineering, Beihang University, Beijing 100191, China; (X.L.); (R.W.); (H.W.); (Y.M.); (C.L.); (Y.G.)
- Key Laboratory of Ultra-Weak Magnetic Field Measurement Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China
| | - Changzeng Liu
- School of Instrumentation Science and Optoelectronic Engineering, Beihang University, Beijing 100191, China; (X.L.); (R.W.); (H.W.); (Y.M.); (C.L.); (Y.G.)
- Key Laboratory of Ultra-Weak Magnetic Field Measurement Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China
| | - Yang Gao
- School of Instrumentation Science and Optoelectronic Engineering, Beihang University, Beijing 100191, China; (X.L.); (R.W.); (H.W.); (Y.M.); (C.L.); (Y.G.)
- Key Laboratory of Ultra-Weak Magnetic Field Measurement Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China
- Institute of Large-Scale Scientific Facility and Centre for Zero Magnetic Field Science, Beihang University, Hangzhou 310051, China
- National Institute of Extremely-Weak Magnetic Field Infrastructure, Hangzhou 310051, China
| | - Dexin Yu
- Shandong Key Laboratory: Magnetic Field-Free Medicine & Functional Imaging, Qilu Hospital of Shandong University, Jinan 250012, China;
| | - Xiaolin Ning
- School of Instrumentation Science and Optoelectronic Engineering, Beihang University, Beijing 100191, China; (X.L.); (R.W.); (H.W.); (Y.M.); (C.L.); (Y.G.)
- Key Laboratory of Ultra-Weak Magnetic Field Measurement Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China
- Hefei National Laboratory, Hefei 230088, China
- Institute of Large-Scale Scientific Facility and Centre for Zero Magnetic Field Science, Beihang University, Hangzhou 310051, China
- National Institute of Extremely-Weak Magnetic Field Infrastructure, Hangzhou 310051, China
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Wiesman AI, da Silva Castanheira J, Fon EA, Baillet S. Alterations of Cortical Structure and Neurophysiology in Parkinson's Disease Are Aligned with Neurochemical Systems. Ann Neurol 2024; 95:802-816. [PMID: 38146745 PMCID: PMC11023768 DOI: 10.1002/ana.26871] [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: 08/09/2023] [Revised: 12/23/2023] [Accepted: 12/23/2023] [Indexed: 12/27/2023]
Abstract
OBJECTIVE Parkinson's disease (PD) affects the structural integrity and neurophysiological signaling of the cortex. These alterations are related to the motor and cognitive symptoms of the disease. How these changes are related to the neurochemical systems of the cortex is unknown. METHODS We used T1-weighted magnetic resonance imaging (MRI) and magnetoencephalography (MEG) to measure cortical thickness and task-free neurophysiological activity in patients with idiopathic PD (nMEG = 79, nMRI = 65) and matched healthy controls (nMEG = 65, nMRI = 37). Using linear mixed-effects models, we examined the topographical alignment of cortical structural and neurophysiological alterations in PD with cortical atlases of 19 neurotransmitter receptor and transporter densities. RESULTS We found that neurophysiological alterations in PD occur primarily in brain regions rich in acetylcholinergic, serotonergic, and glutamatergic systems, with protective implications for cognitive and psychiatric symptoms. In contrast, cortical thinning occurs preferentially in regions rich in noradrenergic systems, and the strength of this alignment relates to motor deficits. INTERPRETATION This study shows that the spatial organization of neurophysiological and structural alterations in PD is relevant for nonmotor and motor impairments. The data also advance the identification of the neurochemical systems implicated. The approach uses novel nested atlas modeling methodology that is transferrable to research in other neurological and neuropsychiatric diseases and syndromes. ANN NEUROL 2024;95:802-816.
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Affiliation(s)
- Alex I. Wiesman
- Montreal Neurological Institute, McGill University, Montreal, Canada
| | | | - Edward A. Fon
- Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Sylvain Baillet
- Montreal Neurological Institute, McGill University, Montreal, Canada
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Wiesman AI, Madge V, Fon EA, Dagher A, Collins DL, Baillet S. Associations between neuromelanin depletion and cortical rhythmic activity in Parkinson's disease. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.02.16.24302958. [PMID: 38405952 PMCID: PMC10889029 DOI: 10.1101/2024.02.16.24302958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Background and Objectives Parkinson's disease (PD) is marked by the death of neuromelanin-rich dopaminergic and noradrenergic cells in the substantia nigra (SN) and the locus coeruleus (LC), respectively, resulting in motor and cognitive impairments. While SN dopamine dysfunction has clear neurophysiological effects, the impact of reduced LC norepinephrine signaling on brain activity in PD remains to be established. Methods We used neuromelanin-sensitive T1-weighted MRI (NPD = 58; NHC = 27) and task-free magnetoencephalography (NPD = 58; NHC = 65) to identify neuropathophysiological factors related to the degeneration of the LC and SN in patients with PD. Results We found pathological increases in rhythmic alpha (8 - 12 Hz) activity in patients with decreased LC neuromelanin, with a stronger association in patients with worse attentional impairments. This negative alpha-LC neuromelanin relationship is also stronger in fronto-motor cortices, which are regions with high densities of norepinephrine transporters in the healthy brain, and where alpha activity is negatively related to attention scores. These observations support a noradrenergic association between LC integrity and alpha band activity. Our data also show that rhythmic beta (15 - 29 Hz) activity in the left somato-motor cortex decreases with lower levels of SN neuromelanin; the same regions where beta activity reflects axial motor symptoms. Discussion Together, our findings clarify the association of well-documented alterations of rhythmic neurophysiology in PD with cortical and subcortical neurochemical systems. Specifically, attention-related alpha activity reflects dysfunction of the noradrenergic system, and beta activity with relevance to motor impairments reflects dopaminergic dysfunction.
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Affiliation(s)
- Alex I. Wiesman
- Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Victoria Madge
- Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Edward A. Fon
- Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Alain Dagher
- Montreal Neurological Institute, McGill University, Montreal, Canada
| | - D Louis Collins
- Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Sylvain Baillet
- Montreal Neurological Institute, McGill University, Montreal, Canada
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Jellinger KA. Pathobiology of Cognitive Impairment in Parkinson Disease: Challenges and Outlooks. Int J Mol Sci 2023; 25:498. [PMID: 38203667 PMCID: PMC10778722 DOI: 10.3390/ijms25010498] [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: 11/23/2023] [Revised: 12/11/2023] [Accepted: 12/27/2023] [Indexed: 01/12/2024] Open
Abstract
Cognitive impairment (CI) is a characteristic non-motor feature of Parkinson disease (PD) that poses a severe burden on the patients and caregivers, yet relatively little is known about its pathobiology. Cognitive deficits are evident throughout the course of PD, with around 25% of subtle cognitive decline and mild CI (MCI) at the time of diagnosis and up to 83% of patients developing dementia after 20 years. The heterogeneity of cognitive phenotypes suggests that a common neuropathological process, characterized by progressive degeneration of the dopaminergic striatonigral system and of many other neuronal systems, results not only in structural deficits but also extensive changes of functional neuronal network activities and neurotransmitter dysfunctions. Modern neuroimaging studies revealed multilocular cortical and subcortical atrophies and alterations in intrinsic neuronal connectivities. The decreased functional connectivity (FC) of the default mode network (DMN) in the bilateral prefrontal cortex is affected already before the development of clinical CI and in the absence of structural changes. Longitudinal cognitive decline is associated with frontostriatal and limbic affections, white matter microlesions and changes between multiple functional neuronal networks, including thalamo-insular, frontoparietal and attention networks, the cholinergic forebrain and the noradrenergic system. Superimposed Alzheimer-related (and other concomitant) pathologies due to interactions between α-synuclein, tau-protein and β-amyloid contribute to dementia pathogenesis in both PD and dementia with Lewy bodies (DLB). To further elucidate the interaction of the pathomechanisms responsible for CI in PD, well-designed longitudinal clinico-pathological studies are warranted that are supported by fluid and sophisticated imaging biomarkers as a basis for better early diagnosis and future disease-modifying therapies.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, A-1150 Vienna, Austria
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Wiesman AI, da Silva Castanheira J, Degroot C, Fon EA, Baillet S, Network QP. Adverse and compensatory neurophysiological slowing in Parkinson's disease. Prog Neurobiol 2023; 231:102538. [PMID: 37832713 PMCID: PMC10872886 DOI: 10.1016/j.pneurobio.2023.102538] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 09/27/2023] [Accepted: 10/09/2023] [Indexed: 10/15/2023]
Abstract
Patients with Parkinson's disease (PD) exhibit multifaceted changes in neurophysiological brain activity, hypothesized to represent a global cortical slowing effect. Using task-free magnetoencephalography and extensive clinical assessments, we found that neurophysiological slowing in PD is differentially associated with motor and non-motor symptoms along a sagittal gradient over the cortical anatomy. In superior parietal regions, neurophysiological slowing reflects an adverse effect and scales with cognitive and motor impairments, while across the inferior frontal cortex, neurophysiological slowing is compatible with a compensatory role. This adverse-to-compensatory gradient is sensitive to individual clinical profiles, such as drug regimens and laterality of symptoms; it is also aligned with the topography of neurotransmitter and transporter systems relevant to PD. We conclude that neurophysiological slowing in patients with PD signals both deleterious and protective mechanisms of the disease, from posterior to anterior regions across the cortex, respectively, with functional and clinical relevance to motor and cognitive symptoms.
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Affiliation(s)
- Alex I Wiesman
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada.
| | | | - Clotilde Degroot
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Edward A Fon
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Sylvain Baillet
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada.
| | - Quebec Parkinson Network
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada
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