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Teo JM, Kumar VA, Lee J, Eldaya RW, Hou P, Jen ML, Noll KR, Wei P, Ferguson SD, Prabhu SS, Wintermark M, Liu HL. Probabilistic Presurgical Language fMRI Atlas of Patients with Brain Tumors. AJNR Am J Neuroradiol 2024:ajnr.A8383. [PMID: 38889968 DOI: 10.3174/ajnr.a8383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Accepted: 06/09/2024] [Indexed: 06/20/2024]
Abstract
BACKGROUND AND PURPOSE Patients with brain tumors have high intersubject variation in putative language regions, which may limit the utility of straightforward application of healthy subject brain atlases in clinical scenarios. The purpose of this study was to develop a probabilistic functional brain atlas that consolidates language functional activations of sentence completion and Silent Word Generation language paradigms using a large sample of patients with brain tumors. MATERIALS AND METHODS The atlas was developed using retrospectively collected fMRI data from patients with brain tumors who underwent their first standard-of-care presurgical language fMRI scan at our institution between July 18, 2015, and May 13, 2022. Three hundred seventeen patients (861 fMRI scans) were used to develop the language functional atlas. An independent presurgical language fMRI data set of 39 patients with brain tumors from a previous study was used to evaluate our atlas. Family-wise error-corrected binary functional activation maps from sentence completion, letter fluency, and category fluency presurgical fMRI were used to create probability overlap maps and pooled probabilistic overlap maps in Montreal Neurological Institute standard space. The Wilcoxon signed-rank test was used to determine a significant difference in the maximum Dice coefficient for our atlas compared with a meta-analysis-based template with respect to expert-delineated primary language area activations. RESULTS Probabilities of activating the left anterior primary language area and left posterior primary language area in the temporal lobe were 87.9% and 91.5%, respectively, for sentence completion, 88.5% and 74.2%, respectively, for letter fluency, and 83.6% and 67.6%, respectively, for category fluency. Maximum Dice coefficients for templates derived from our language atlas were significantly higher than the meta-analysis-based template in the left anterior primary language area (0.351 and 0.326, respectively, P < .05) and the left posterior primary language area in the temporal lobe (0.274 and 0.244, respectively, P < .005). CONCLUSIONS Brain tumor patient- and paradigm-specific probabilistic language atlases were developed. These atlases had superior spatial agreement with fMRI activations in individual patients compared with the meta-analysis-based template.
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Affiliation(s)
- Jian Ming Teo
- From the Department of Imaging Physics (J.M.T., P.H., M.-L.J., H.-L.L.), The University of Texas MD Anderson Cancer Center, Houston, Texas
- Medical Physics Graduate Program (J.M.T.), The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, Texas
| | - Vinodh A Kumar
- Department of Diagnostic Radiology (V.A.K., J.L., R.W.E., M.W.), The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jina Lee
- Department of Diagnostic Radiology (V.A.K., J.L., R.W.E., M.W.), The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Rami W Eldaya
- Department of Diagnostic Radiology (V.A.K., J.L., R.W.E., M.W.), The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ping Hou
- From the Department of Imaging Physics (J.M.T., P.H., M.-L.J., H.-L.L.), The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Mu-Lan Jen
- From the Department of Imaging Physics (J.M.T., P.H., M.-L.J., H.-L.L.), The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Kyle R Noll
- Department of Neuro-Oncology (K.R.N.), The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Peng Wei
- Department of Biostatistics (P.W.), The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Sherise D Ferguson
- Department of Neurosurgery (S.D.F., S.S.P.), The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Sujit S Prabhu
- Department of Neurosurgery (S.D.F., S.S.P.), The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Max Wintermark
- Department of Diagnostic Radiology (V.A.K., J.L., R.W.E., M.W.), The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ho-Ling Liu
- From the Department of Imaging Physics (J.M.T., P.H., M.-L.J., H.-L.L.), The University of Texas MD Anderson Cancer Center, Houston, Texas
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2
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Nardelli D, Gambioli F, De Bartolo MI, Mancinelli R, Biagioni F, Carotti S, Falato E, Leodori G, Puglisi-Allegra S, Vivacqua G, Fornai F. Pain in Parkinson's disease: a neuroanatomy-based approach. Brain Commun 2024; 6:fcae210. [PMID: 39130512 PMCID: PMC11311710 DOI: 10.1093/braincomms/fcae210] [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: 08/21/2023] [Revised: 04/23/2024] [Accepted: 06/17/2024] [Indexed: 08/13/2024] Open
Abstract
Parkinson's disease is a progressive neurodegenerative disorder characterized by the deposition of misfolded alpha-synuclein in different regions of the central and peripheral nervous system. Motor impairment represents the signature clinical expression of Parkinson's disease. Nevertheless, non-motor symptoms are invariably present at different stages of the disease and constitute an important therapeutic challenge with a high impact for the patients' quality of life. Among non-motor symptoms, pain is frequently experienced by patients, being present in a range of 24-85% of Parkinson's disease population. Moreover, in more than 5% of patients, pain represents the first clinical manifestation, preceding by decades the exordium of motor symptoms. Pain implies a complex biopsychosocial experience with a downstream complex anatomical network involved in pain perception, modulation, and processing. Interestingly, all the anatomical areas involved in pain network can be affected by a-synuclein pathology, suggesting that pathophysiology of pain in Parkinson's disease encompasses a 'pain spectrum', involving different anatomical and neurochemical substrates. Here the various anatomical sites recruited in pain perception, modulation and processing are discussed, highlighting the consequences of their possible degeneration in course of Parkinson's disease. Starting from peripheral small fibres neuropathy and pathological alterations at the level of the posterior laminae of the spinal cord, we then describe the multifaceted role of noradrenaline and dopamine loss in driving dysregulated pain perception. Finally, we focus on the possible role of the intertwined circuits between amygdala, nucleus accumbens and habenula in determining the psycho-emotional, autonomic and cognitive experience of pain in Parkinson's disease. This narrative review provides the first anatomically driven comprehension of pain in Parkinson's disease, aiming at fostering new insights for personalized clinical diagnosis and therapeutic interventions.
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Affiliation(s)
- Domiziana Nardelli
- Laboratory of Microscopic and Ultrastructural Anatomy, Campus Biomedico University of Roma, Rome 00128, Italy
| | - Francesco Gambioli
- Laboratory of Microscopic and Ultrastructural Anatomy, Campus Biomedico University of Roma, Rome 00128, Italy
| | | | - Romina Mancinelli
- Department of Anatomical, Histological, Forensic Medicine and Orthopedic Sciences, Sapienza University of Roma, Rome 00161, Italy
| | | | - Simone Carotti
- Laboratory of Microscopic and Ultrastructural Anatomy, Campus Biomedico University of Roma, Rome 00128, Italy
| | - Emma Falato
- Laboratory of Microscopic and Ultrastructural Anatomy, Campus Biomedico University of Roma, Rome 00128, Italy
| | - Giorgio Leodori
- IRCCS Neuromed, Pozzilli, IS 86077, Italy
- Department of Human Neuroscience, Sapienza University of Roma, Rome 00185, Italy
| | | | - Giorgio Vivacqua
- Laboratory of Microscopic and Ultrastructural Anatomy, Campus Biomedico University of Roma, Rome 00128, Italy
| | - Francesco Fornai
- IRCCS Neuromed, Pozzilli, IS 86077, Italy
- Department of Experimental Morphology and Applied Biology, University of Pisa, Pisa 56122, Italy
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3
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Raguž M, Marčinković P, Chudy H, Orešković D, Lakić M, Dlaka D, Katavić N, Rački V, Vuletić V, Chudy D. Decreased brain volume may be associated with the occurrence of peri-lead edema in Parkinson's disease patients with deep brain stimulation. Parkinsonism Relat Disord 2024; 121:106030. [PMID: 38354427 DOI: 10.1016/j.parkreldis.2024.106030] [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: 11/09/2023] [Revised: 01/12/2024] [Accepted: 02/08/2024] [Indexed: 02/16/2024]
Abstract
BACKGROUND Peri-lead edema (PLE) is a poorly understood complication of deep brain stimulation (DBS), which has been described in patients presenting occasionally with profound and often delayed symptoms with an incidence ranging from 0.4% up to even 100%. Therefore, our study aims to investigate the association of brain and brain compartment volumes on magnetic resonance imaging (MRI) with the occurrence of PLE in Parkinson's disease (PD) patients after DBS implantation in subthalamic nuclei (STN). METHODS This retrospective study included 125 consecutive PD patients who underwent STN DBS at the Department of Neurosurgery, Dubrava University Hospital from 2010 to 2022. Qualitative analysis was done on postoperative MRI T2-weighted sequence by two independent observers, marking PLE on midbrain, thalamus, and subcortical levels as mild, moderate, or severe. Quantitative volumetric analysis of brain and brain compartment volumes was conducted using an automated CIVET processing pipeline on preoperative MRI T1 MPRAGE sequences. In addition, observed PLE on individual hemispheres was delineated manually and measured using Analyze 14.0 software. RESULTS In our cohort, PLE was observed in 32.17%, mostly bilaterally. Mild PLE was observed in the majority of patients, regardless of the level observed. Age, sex, diabetes, hypertension, vascular disease, and the use of anticoagulant/antiplatelet therapy showed no significant association with the occurrence of PLE. Total grey matter volume showed a significant association with the PLE occurrence (r = -0.22, p = 0.04), as well as cortex volume (r = -0.32, p = 0.0005). Cortical volumes of hemispheres, overall hemisphere volumes, as well as hemisphere/total intracranial volume ratio showed significant association with the PLE occurrence. Furthermore, the volume of the cortex and total grey volume represent moderate indicators, while hemisphere volumes, cortical volumes of hemispheres, and hemisphere/total intracranial volume ratio represent mild to moderate indicators of possible PLE occurrence. CONCLUSION The results of our study suggest that the morphometric MRI measurements, as a useful tool, can provide relevant information about the structural status of the brain in patients with PD and represent moderate indicators of possible PLE occurrence. Identifying patients with greater brain atrophy, especially regarding grey matter before DBS implantation, will allow us to estimate the possible postoperative symptoms and intervene in a timely manner. Further studies are needed to confirm our findings and to investigate other potential predictors and risk factors of PLE occurrence.
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Affiliation(s)
- Marina Raguž
- Department of Neurosurgery, Dubrava University Hospital, Zagreb, Croatia; School of Medicine, Catholic University of Croatia, Zagreb, Croatia.
| | - Petar Marčinković
- Department of Neurosurgery, Dubrava University Hospital, Zagreb, Croatia
| | - Hana Chudy
- Department of Neurology, Dubrava University Hospital, Zagreb, Croatia
| | - Darko Orešković
- Department of Neurosurgery, Dubrava University Hospital, Zagreb, Croatia
| | - Marin Lakić
- Department of Neurosurgery, Dubrovnik General Hospital, Dubrovnik, Croatia
| | - Domagoj Dlaka
- Department of Neurosurgery, Dubrava University Hospital, Zagreb, Croatia
| | - Nataša Katavić
- Department of Radiology and Interventional Radiology, Dubrava University Hospital, Zagreb, Croatia
| | - Valentino Rački
- Department of Neurology, University Hospital Centre, Rijeka, Croatia
| | - Vladimira Vuletić
- Department of Neurology, University Hospital Centre, Rijeka, Croatia
| | - Darko Chudy
- Department of Neurosurgery, Dubrava University Hospital, Zagreb, Croatia; Department of Surgery, School of Medicine University of Zagreb, Zagreb, Croatia
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Reinshagen A. Grid cells: the missing link in understanding Parkinson's disease? Front Neurosci 2024; 18:1276714. [PMID: 38389787 PMCID: PMC10881698 DOI: 10.3389/fnins.2024.1276714] [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: 08/12/2023] [Accepted: 01/24/2024] [Indexed: 02/24/2024] Open
Abstract
The mechanisms underlying Parkinson's disease (PD) are complex and not fully understood, and the box-and-arrow model among other current models present significant challenges. This paper explores the potential role of the allocentric brain and especially its grid cells in several PD motor symptoms, including bradykinesia, kinesia paradoxa, freezing of gait, the bottleneck phenomenon, and their dependency on cueing. It is argued that central hubs, like the locus coeruleus and the pedunculopontine nucleus, often narrowly interpreted in the context of PD, play an equally important role in governing the allocentric brain as the basal ganglia. Consequently, the motor and secondary motor (e.g., spatially related) symptoms of PD linked with dopamine depletion may be more closely tied to erroneous computation by grid cells than to the basal ganglia alone. Because grid cells and their associated central hubs introduce both spatial and temporal information to the brain influencing velocity perception they may cause bradykinesia or hyperkinesia as well. In summary, PD motor symptoms may primarily be an allocentric disturbance resulting from virtual faulty computation by grid cells revealed by dopamine depletion in PD.
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5
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Citro S, Lazzaro GD, Cimmino AT, Giuffrè GM, Marra C, Calabresi P. A multiple hits hypothesis for memory dysfunction in Parkinson disease. Nat Rev Neurol 2024; 20:50-61. [PMID: 38052985 DOI: 10.1038/s41582-023-00905-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/09/2023] [Indexed: 12/07/2023]
Abstract
Cognitive disorders are increasingly recognized in Parkinson disease (PD), even in early disease stages, and memory is one of the most affected cognitive domains. Classically, hippocampal cholinergic system dysfunction was associated with memory disorders, whereas nigrostriatal dopaminergic system impairment was considered responsible for executive deficits. Evidence from PD studies now supports involvement of the amygdala, which modulates emotional attribution to experiences. Here, we propose a tripartite model including the hippocampus, striatum and amygdala as key structures for cognitive disorders in PD. First, the anatomo-functional relationships of these structures are explored and experimental evidence supporting their role in cognitive dysfunction in PD is summarized. We then discuss the potential role of α-synuclein, a pathological hallmark of PD, in the tripartite memory system as a key mechanism in the pathogenesis of memory disorders in the disease.
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Affiliation(s)
- Salvatore Citro
- Neurology Section, Department of Neuroscience, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Giulia Di Lazzaro
- Neurology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Angelo Tiziano Cimmino
- Neurology Section, Department of Neuroscience, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Guido Maria Giuffrè
- Neurology Section, Department of Neuroscience, Università Cattolica del Sacro Cuore, Rome, Italy
- Neurology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Camillo Marra
- Neurology Section, Department of Neuroscience, Università Cattolica del Sacro Cuore, Rome, Italy
- Neurology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Paolo Calabresi
- Neurology Section, Department of Neuroscience, Università Cattolica del Sacro Cuore, Rome, Italy.
- Neurology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
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6
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Schechtmann G, Glud AN, Jourdain VA, Bergholt B, Sørensen JCH. "Suboptimal" placement of STN DBS electrodes as a novel strategy in Parkinson's disease? Acta Neurochir (Wien) 2023; 165:3943-3945. [PMID: 37792049 DOI: 10.1007/s00701-023-05796-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Accepted: 09/04/2023] [Indexed: 10/05/2023]
Affiliation(s)
- Gastón Schechtmann
- Department of Neurosurgery, Aarhus University Hospital, Aarhus, Denmark.
| | - Andreas Nørgaard Glud
- Department of Neurosurgery, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus N, Denmark
| | | | - Bo Bergholt
- Department of Neurosurgery, Aarhus University Hospital, Aarhus, Denmark
| | - Jens Christian Hedemann Sørensen
- Department of Neurosurgery, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus N, Denmark
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7
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Vandendoorent B, Nackaerts E, Zoetewei D, Hulzinga F, Gilat M, Orban de Xivry JJ, Nieuwboer A. Effect of transcranial direct current stimulation on learning in older adults with and without Parkinson's disease: A systematic review with meta-analysis. Brain Cogn 2023; 171:106073. [PMID: 37611344 DOI: 10.1016/j.bandc.2023.106073] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Revised: 06/26/2023] [Accepted: 07/31/2023] [Indexed: 08/25/2023]
Abstract
Older adults with and without Parkinson's disease show impaired retention after training of motor or cognitive skills. This systematic review with meta-analysis aims to investigate whether adding transcranial direct current stimulation (tDCS) to motor or cognitive training versus placebo boosts motor sequence and working memory training. The effects of interest were estimated between three time points, i.e. pre-training, post-training and follow-up. This review was conducted according to the PRISMA guidelines (PROSPERO: CRD42022348885). Electronic databases were searched from conception to March 2023. Following initial screening, 24 studies were eligible for inclusion in the qualitative synthesis and 20 could be included in the meta-analysis, of which 5 studies concerned motor sequence learning (total n = 186) and 15 working memory training (total n = 650). Results were pooled using an inverse variance random effects meta-analysis. The findings showed no statistically significant additional effects of tDCS over placebo on motor sequence learning outcomes. However, there was a strong trend showing that tDCS boosted working memory training, although methodological limitations and some heterogeneity were also apparent. In conclusion, the present findings do not support wide implementation of tDCS as an add-on to motor sequence training at the moment, but the promising results on cognitive training warrant further investigations.
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Affiliation(s)
- Britt Vandendoorent
- Neuromotor Rehabilitation Research Group, Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium.
| | - Evelien Nackaerts
- Neuromotor Rehabilitation Research Group, Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Demi Zoetewei
- Neuromotor Rehabilitation Research Group, Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Femke Hulzinga
- Neuromotor Rehabilitation Research Group, Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Moran Gilat
- Neuromotor Rehabilitation Research Group, Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Jean-Jacques Orban de Xivry
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, KU Leuven, Leuven, Belgium
| | - Alice Nieuwboer
- Neuromotor Rehabilitation Research Group, Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
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8
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Liu CF, Younes L, Tong XJ, Hinkle JT, Wang M, Phatak S, Xu X, Bu X, Looi V, Bang J, Tabrizi SJ, Scahill RI, Paulsen JS, Georgiou-Karistianis N, Faria AV, Miller MI, Ratnanather JT, Ross CA. Longitudinal imaging highlights preferential basal ganglia circuit atrophy in Huntington's disease. Brain Commun 2023; 5:fcad214. [PMID: 37744022 PMCID: PMC10516592 DOI: 10.1093/braincomms/fcad214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 05/09/2023] [Accepted: 08/17/2023] [Indexed: 09/26/2023] Open
Abstract
Huntington's disease is caused by a CAG repeat expansion in the Huntingtin gene (HTT), coding for polyglutamine in the Huntingtin protein, with longer CAG repeats causing earlier age of onset. The variable 'Age' × ('CAG'-L), where 'Age' is the current age of the individual, 'CAG' is the repeat length and L is a constant (reflecting an approximation of the threshold), termed the 'CAG Age Product' (CAP) enables the consideration of many individuals with different CAG repeat expansions at the same time for analysis of any variable and graphing using the CAG Age Product score as the X axis. Structural MRI studies have showed that progressive striatal atrophy begins many years prior to the onset of diagnosable motor Huntington's disease, confirmed by longitudinal multicentre studies on three continents, including PREDICT-HD, TRACK-HD and IMAGE-HD. However, previous studies have not clarified the relationship between striatal atrophy, atrophy of other basal ganglia structures, and atrophy of other brain regions. The present study has analysed all three longitudinal datasets together using a single image segmentation algorithm and combining data from a large number of subjects across a range of CAG Age Product score. In addition, we have used a strategy of normalizing regional atrophy to atrophy of the whole brain, in order to determine which regions may undergo preferential degeneration. This made possible the detailed characterization of regional brain atrophy in relation to CAG Age Product score. There is dramatic selective atrophy of regions involved in the basal ganglia circuit-caudate, putamen, nucleus accumbens, globus pallidus and substantia nigra. Most other regions of the brain appear to have slower but steady degeneration. These results support (but certainly do not prove) the hypothesis of circuit-based spread of pathology in Huntington's disease, possibly due to spread of mutant Htt protein, though other connection-based mechanisms are possible. Therapeutic targets related to prion-like spread of pathology or other mechanisms may be suggested. In addition, they have implications for current neurosurgical therapeutic approaches, since delivery of therapeutic agents solely to the caudate and putamen may miss other structures affected early, such as nucleus accumbens and output nuclei of the striatum, the substantia nigra and the globus pallidus.
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Affiliation(s)
- Chin-Fu Liu
- Center for Imaging Science, Johns Hopkins University, Baltimore, MD 21218, USA
- Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Laurent Younes
- Center for Imaging Science, Johns Hopkins University, Baltimore, MD 21218, USA
- Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Xiao J Tong
- Division of Neurobiology, Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore MD 21287, USA
| | - Jared T Hinkle
- Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21218, USA
- Medical Scientist Training Program, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Maggie Wang
- Center for Imaging Science, Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Sanika Phatak
- Center for Imaging Science, Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Xin Xu
- Division of Magnetic Resonance, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Xuan Bu
- Center for Imaging Science, Johns Hopkins University, Baltimore, MD 21218, USA
- Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21218, USA
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
| | - Vivian Looi
- Center for Imaging Science, Johns Hopkins University, Baltimore, MD 21218, USA
- Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Jee Bang
- Division of Neurobiology, Department of Psychiatry, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Sarah J Tabrizi
- HD Research Centre, University College London Queen Square Institute of Neurology, UCL, London, UK
| | - Rachael I Scahill
- HD Research Centre, University College London Queen Square Institute of Neurology, UCL, London, UK
| | - Jane S Paulsen
- Department of Neurology, University of Wisconsin, Madison, WI 53705, USA
| | - Nellie Georgiou-Karistianis
- School of Psychological Sciences and The Turner Institute for Brain and Mental Health, Monash University, Melbourne, Victoria 3800, Australia
| | - Andreia V Faria
- Division of Magnetic Resonance, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Michael I Miller
- Center for Imaging Science, Johns Hopkins University, Baltimore, MD 21218, USA
- Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - J Tilak Ratnanather
- Center for Imaging Science, Johns Hopkins University, Baltimore, MD 21218, USA
- Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Christopher A Ross
- Division of Neurobiology, Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore MD 21287, USA
- Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21218, USA
- Division of Neurobiology, Department of Psychiatry, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
- Department of Pharmacology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
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9
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Woo S, Noh Y, Koh SB, Lee SK, Il Lee J, Kim HH, Kim SY, Cho J, Kim C. Associations of ambient manganese exposure with brain gray matter thickness and white matter hyperintensities. Hypertens Res 2023; 46:1870-1879. [PMID: 37185603 DOI: 10.1038/s41440-023-01291-1] [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: 10/11/2022] [Revised: 04/03/2023] [Accepted: 04/05/2023] [Indexed: 05/17/2023]
Abstract
Manganese (Mn) exposure is associated with increased risks of dementia and cerebrovascular disease. However, evidence regarding the impact of ambient Mn exposure on brain imaging markers is scarce. We aimed to investigate the association between ambient Mn exposure and brain imaging markers representing neurodegeneration and cerebrovascular lesions. We recruited a total of 936 adults (442 men and 494 women) without dementia, movement disorders, or stroke from the Republic of Korea. Ambient Mn concentrations were predicted at each participant's residential address using spatial modeling. Neurodegeneration-related brain imaging markers, such as the regional cortical thickness, were estimated using 3 T brain magnetic resonance images. White matter hyperintensity volume (an indicator of cerebrovascular lesions) was also obtained from a certain number of participants (n = 397). Linear regression analyses were conducted after adjusting for potential confounders. A log-transformed ambient Mn concentration was associated with thinner parietal (β = -0.02 mm; 95% confidence interval [CI], -0.05 to -0.01) and occipital cortices (β = -0.03 mm; 95% CI, -0.04 to -0.01) after correcting for multiple comparisons. These associations remained statistically significant in men. An increase in the ambient Mn concentration was also associated with a greater volume of deep white matter hyperintensity in men (β = 772.4 mm3, 95% CI: 36.9 to 1508.0). None of the associations were significant in women. Our findings suggest that ambient Mn exposure may induce cortical atrophy in the general adult population.
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Affiliation(s)
- Shinyoung Woo
- Department of Public Health, Yonsei University College of Medicine, Seoul, Korea
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Young Noh
- Department of Neurology, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Sang-Baek Koh
- Department of Preventive Medicine, Wonju College of Medicine, Yonsei University, Wonju, Korea
| | - Seung-Koo Lee
- Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Jung Il Lee
- Korea Testing and Research Institute, Gwacheon, Korea
| | - Ho Hyun Kim
- Department of Nano-chemical, biological and environmental engineering Seokyeong University, Seoul, Korea
| | - Sun- Young Kim
- Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea
| | - Jaelim Cho
- Department of Public Health, Yonsei University College of Medicine, Seoul, Korea.
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea.
- Institute for Environmental Research, Yonsei University College of Medicine, Seoul, Republic of Korea.
- Institute of Human Complexity and Systems Science, Yonsei University, Incheon, Republic of Korea.
| | - Changsoo Kim
- Department of Public Health, Yonsei University College of Medicine, Seoul, Korea.
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea.
- Institute for Environmental Research, Yonsei University College of Medicine, Seoul, Republic of Korea.
- Institute of Human Complexity and Systems Science, Yonsei University, Incheon, Republic of Korea.
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10
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Tsai MT, Juan CE, Liu YJ, Juan CJ. A potential imaging biomarker distinguishing neurodegenerative parkinsonism using brainstem MRI shape analysis. Eur Radiol 2023; 33:4537-4539. [PMID: 37154953 DOI: 10.1007/s00330-023-09683-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Revised: 04/07/2023] [Accepted: 04/14/2023] [Indexed: 05/10/2023]
Affiliation(s)
- Ming-Ting Tsai
- Department of Medical Imaging, China Medical University Hsinchu Hospital, Hsinchu, Taiwan, Republic of China
| | - Cheng-En Juan
- Master's Program of Biomedical Informatics and Biomedical Engineering, Feng Chia University, Taichung, Taiwan, Republic of China
| | - Yi-Jui Liu
- Master's Program of Biomedical Informatics and Biomedical Engineering, Feng Chia University, Taichung, Taiwan, Republic of China.
- Department of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan, Republic of China.
| | - Chun-Jung Juan
- Department of Medical Imaging, China Medical University Hsinchu Hospital, Hsinchu, Taiwan, Republic of China.
- Department of Radiology, School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan, Republic of China.
- Department of Medical Imaging, China Medical University Hospital, Taichung, Taiwan.
- Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan, Republic of China.
- Department of Radiology, School of Medicine, National Defense Medical Center, Taipei, Taiwan, Republic of China.
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11
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Clinical Phenotype Imprints on Brain Atrophy Progression in Parkinson’s Disease. CLINICAL AND TRANSLATIONAL NEUROSCIENCE 2023. [DOI: 10.3390/ctn7010008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/05/2023] Open
Abstract
There is much controversy about the link between motor symptom progression and the plethora of reported brain atrophy patterns in idiopathic Parkinson’s disease (PD). The main goal of this study is to provide empirical evidence for unique and common contributions of clinical phenotype characteristics on the dynamic changes of brain structure over time. We analyzed the behavioral and magnetic resonance imaging (MRI) data of PD patients (n = 22) and healthy individuals (n = 21) acquired two years apart through the computational anatomy framework of longitudinal voxel-based morphometry (VBM). This analysis revealed a symmetrical bi-hemispheric pattern of accelerated grey matter decrease in PD extending through the insula, parahippocampal gyrus, medial temporal lobes and the precuneus. We observed a hemisphere-specific correlation between the established scores for motor symptoms severity and the rate of atrophy within motor regions, which was further differentiated by the clinical phenotype characteristics of PD patients. Baseline cerebellum anatomy differences between the tremor-dominant and akineto-rigid PD remained stable over time and can be regarded as trait rather than state-associated features. We interpret the observed pattern of progressive brain anatomy changes as mainly linked to insular areas that determine together with basal ganglia the motor and non-motor phenotype in PD. Our findings provide empirical evidence for the sensitivity of computational anatomy to dynamic changes in PD, offering additional opportunities to establish reliable models of disease progression.
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12
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Schuster KH, DiFranco DM, Putka AF, Mato JP, Jarrah SI, Stec NR, Sundararajan VO, McLoughlin HS. Disease-associated oligodendrocyte signatures are spatiotemporally dysregulated in spinocerebellar ataxia type 3. Front Neurosci 2023; 17:1118429. [PMID: 36875652 PMCID: PMC9975394 DOI: 10.3389/fnins.2023.1118429] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 01/26/2023] [Indexed: 02/17/2023] Open
Abstract
Spinocerebellar ataxia type 3 (SCA3) is a neurodegenerative disease caused by a CAG repeat expansion in the ATXN3 gene. Though the ATXN3 protein is expressed ubiquitously throughout the CNS, regional pathology in SCA3 patients is observed within select neuronal populations and more recently within oligodendrocyte-rich white matter tracts. We have previously recapitulated these white matter abnormalities in an overexpression mouse model of SCA3 and demonstrated that oligodendrocyte maturation impairments are one of the earliest and most progressive changes in SCA3 pathogenesis. Disease-associated oligodendrocyte signatures have recently emerged as significant contributors to several other neurodegenerative diseases, including Alzheimer's disease, Huntington's disease, and Parkinson's disease, but their role in regional vulnerability and disease progression remains unexplored. Here, we are the first to comparatively assess myelination in human tissue in a region-dependent manner. Translating these findings to SCA3 mouse models of disease, we confirmed endogenous expression of mutant Atxn3 leads to regional transcriptional dysregulation of oligodendrocyte maturation markers in Knock-In models of SCA3. We then investigated the spatiotemporal progression of mature oligodendrocyte transcriptional dysregulation in an overexpression SCA3 mouse model and how it relates to the onset of motor impairment. We further determined that regional reduction in mature oligodendrocyte cell counts in SCA3 mice over time parallels the onset and progression of brain atrophy in SCA3 patients. This work emphasizes the prospective contributions of disease-associated oligodendrocyte signatures to regional vulnerability and could inform timepoints and target regions imperative for biomarker assessment and therapeutic intervention in several neurodegenerative diseases.
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Affiliation(s)
- Kristen H Schuster
- Department of Neurology, University of Michigan, Ann Arbor, MI, United States
| | - Danielle M DiFranco
- Department of Neurology, University of Michigan, Ann Arbor, MI, United States
| | - Alexandra F Putka
- Department of Neurology, University of Michigan, Ann Arbor, MI, United States.,Neuroscience Graduate Program, University of Michigan, Ann Arbor, MI, United States
| | - Juan P Mato
- Department of Neurology, University of Michigan, Ann Arbor, MI, United States.,Neuroscience Graduate Program, University of Michigan, Ann Arbor, MI, United States
| | - Sabrina I Jarrah
- Department of Neurology, University of Michigan, Ann Arbor, MI, United States
| | - Nicholas R Stec
- Department of Neurology, University of Michigan, Ann Arbor, MI, United States
| | | | - Hayley S McLoughlin
- Department of Neurology, University of Michigan, Ann Arbor, MI, United States
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13
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Imaging the Limbic System in Parkinson's Disease-A Review of Limbic Pathology and Clinical Symptoms. Brain Sci 2022; 12:brainsci12091248. [PMID: 36138984 PMCID: PMC9496800 DOI: 10.3390/brainsci12091248] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 09/05/2022] [Accepted: 09/13/2022] [Indexed: 01/09/2023] Open
Abstract
The limbic system describes a complex of brain structures central for memory, learning, as well as goal directed and emotional behavior. In addition to pathological studies, recent findings using in vivo structural and functional imaging of the brain pinpoint the vulnerability of limbic structures to neurodegeneration in Parkinson's disease (PD) throughout the disease course. Accordingly, dysfunction of the limbic system is critically related to the symptom complex which characterizes PD, including neuropsychiatric, vegetative, and motor symptoms, and their heterogeneity in patients with PD. The aim of this systematic review was to put the spotlight on neuroimaging of the limbic system in PD and to give an overview of the most important structures affected by the disease, their function, disease related alterations, and corresponding clinical manifestations. PubMed was searched in order to identify the most recent studies that investigate the limbic system in PD with the help of neuroimaging methods. First, PD related neuropathological changes and corresponding clinical symptoms of each limbic system region are reviewed, and, finally, a network integration of the limbic system within the complex of PD pathology is discussed.
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