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Aamodt EB, Lydersen S, Alnæs D, Schellhorn T, Saltvedt I, Beyer MK, Håberg A. Longitudinal Brain Changes After Stroke and the Association With Cognitive Decline. Front Neurol 2022; 13:856919. [PMID: 35720079 PMCID: PMC9204010 DOI: 10.3389/fneur.2022.856919] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 05/16/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundCognitive impairment is common after stroke. So is cortical- and subcortical atrophy, with studies reporting more atrophy in the ipsilesional hemisphere than the contralesional hemisphere. The current study aimed to investigate the longitudinal associations between (I) lateralization of brain atrophy and stroke hemisphere, and (II) cognitive impairment and brain atrophy after stroke. We expected to find that (I) cortical thickness and hippocampal-, thalamic-, and caudate nucleus volumes declined more in the ipsilesional than the contralesional hemisphere up to 36 months after stroke. Furthermore, we predicted that (II) cognitive decline was associated with greater stroke volumes, and with greater cortical thickness and subcortical structural volume atrophy across the 36 months.MethodsStroke survivors from five Norwegian hospitals were included from the multisite-prospective “Norwegian Cognitive Impairment After Stroke” (Nor-COAST) study. Analyses were run with clinical, neuropsychological and structural magnetic resonance imaging (MRI) data from baseline, 18- and 36 months. Cortical thicknesses and subcortical volumes were obtained via FreeSurfer segmentations and stroke lesion volumes were semi-automatically derived using ITK-SNAP. Cognition was measured using MoCA.ResultsFindings from 244 stroke survivors [age = 72.2 (11.3) years, women = 55.7%, stroke severity NIHSS = 4.9 (5.0)] were included at baseline. Of these, 145 (59.4%) had an MRI scan at 18 months and 72 (49.7% of 18 months) at 36 months. Most cortices and subcortices showed a higher ipsi- compared to contralesional atrophy rate, with the effect being more prominent in the right hemisphere. Next, greater degrees of atrophy particularly in the medial temporal lobe after left-sided strokes and larger stroke lesion volumes after right-sided strokes were associated with cognitive decline over time.ConclusionAtrophy in the ipsilesional hemisphere was greater than in the contralesional hemisphere over time. This effect was found to be more prominent in the right hemisphere, pointing to a possible higher resilience to stroke of the left hemisphere. Lastly, greater atrophy of the cortex and subcortex, as well as larger stroke volume, were associated with worse cognition over time and should be included in risk assessments of cognitive decline after stroke.
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Affiliation(s)
- Eva B. Aamodt
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
- *Correspondence: Eva B. Aamodt
| | - Stian Lydersen
- Regional Centre for Child and Youth Mental Health and Child Welfare, Department of Mental Health, NTNU – Norwegian University of Science and Technology, Trondheim, Norway
| | - Dag Alnæs
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Till Schellhorn
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Ingvild Saltvedt
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU – Norwegian University of Science and Technology, Trondheim, Norway
- Department of Geriatrics, Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Mona K. Beyer
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Asta Håberg
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU – Norwegian University of Science and Technology, Trondheim, Norway
- Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
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Youn J, Kim M, Park S, Kim JS, Park H, Cho JW. Pallidal Structural Changes Related to Levodopa-induced Dyskinesia in Parkinson's Disease. Front Aging Neurosci 2022; 14:781883. [PMID: 35601615 PMCID: PMC9120819 DOI: 10.3389/fnagi.2022.781883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 03/28/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundDespite the clinical impact of levodopa-induced dyskinesia (LID) in Parkinson's disease (PD), the mechanism, especially the role of basal ganglia (BG), is not fully elucidated yet. We investigated the BG structural changes related to LID in PD using a surface-based shape analysis technique.MethodsWe recruited patients with PD who developed LID within 3 years (LID group, 28 patients) and who did not develop it after 7 years (non-LID group, 35 patients) from levodopa treatment for the extreme case-control study. BG structure volumes were measured using volumetry analysis and the surface-based morphometry feature (i.e., Jacobian) from the subcortical surface vertices. We compared the volume and Jacobian of meshes in the regions between the two groups. We also performed a correlation analysis between local atrophy and the severity of LID. Additionally, we evaluated structural connectivity profiles from globus pallidus interna and externa (GPi and GPe) to other brain structures based on the group comparison.ResultsThe demographic and clinical data showed no significant difference except for disease duration, treatment duration, parkinsonism severity, and levodopa equivalent dose. The LID group had more local atrophies of vertices in the right GPi than the non-LID group, despite no difference in volumes. Furthermore, the LID group demonstrated significantly reduced structural connectivity between left GPi and thalamus.ConclusionThis is the first demonstration of distinct shape alterations of basal ganglia structures, especially GPi, related to LID in PD. Considering both direct and indirect BG pathways share the connection between GPi and thalamus, the BG pathway plays a crucial role in the development of LID.
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Veldsman M, Cheng HJ, Ji F, Werden E, Khlif MS, Ng KK, Lim JKW, Qian X, Yu H, Zhou JH, Brodtmann A. Degeneration of structural brain networks is associated with cognitive decline after ischaemic stroke. Brain Commun 2020; 2:fcaa155. [PMID: 33376984 PMCID: PMC7751023 DOI: 10.1093/braincomms/fcaa155] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2020] [Revised: 08/02/2020] [Accepted: 08/14/2020] [Indexed: 12/12/2022] Open
Abstract
Over one-third of stroke patients has long-term cognitive impairment. The likelihood of cognitive dysfunction is poorly predicted by the location or size of the infarct. The macro-scale damage caused by ischaemic stroke is relatively localized, but the effects of stroke occur across the brain. Structural covariance networks represent voxelwise correlations in cortical morphometry. Atrophy and topographical changes within such distributed brain structural networks may contribute to cognitive decline after ischaemic stroke, but this has not been thoroughly investigated. We examined longitudinal changes in structural covariance networks in stroke patients and their relationship to domain-specific cognitive decline. Seventy-three patients (mean age, 67.41 years; SD = 12.13) were scanned with high-resolution magnetic resonance imaging at sub-acute (3 months) and chronic (1 year) timepoints after ischaemic stroke. Patients underwent a number of neuropsychological tests, assessing five cognitive domains including attention, executive function, language, memory and visuospatial function at each timepoint. Individual-level structural covariance network scores were derived from the sub-acute grey-matter probabilistic maps or changes in grey-matter probability maps from sub-acute to chronic using data-driven partial least squares method seeding at major nodes in six canonical high-order cognitive brain networks (i.e. dorsal attention, executive control, salience, default mode, language-related and memory networks). We then investigated co-varying patterns between structural covariance network scores within canonical distributed brain networks and domain-specific cognitive performance after ischaemic stroke, both cross-sectionally and longitudinally, using multivariate behavioural partial least squares correlation approach. We tested our models in an independent validation data set with matched imaging and behavioural testing and using split-half validation. We found that distributed degeneration in higher-order cognitive networks was associated with attention, executive function, language, memory and visuospatial function impairment in sub-acute stroke. From the sub-acute to the chronic timepoint, longitudinal structural co-varying patterns mirrored the baseline structural covariance networks, suggesting synchronized grey-matter volume decline occurred within established networks over time. The greatest changes, in terms of extent of distributed spatial co-varying patterns, were in the default mode and dorsal attention networks, whereas the rest were more focal. Importantly, faster degradation in these major cognitive structural covariance networks was associated with greater decline in attention, memory and language domains frequently impaired after stroke. Our findings suggest that sub-acute ischaemic stroke is associated with widespread degeneration of higher-order structural brain networks and degradation of these structural brain networks may contribute to longitudinal domain-specific cognitive dysfunction.
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Affiliation(s)
- Michele Veldsman
- Department of Experimental Psychology, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Hsiao-Ju Cheng
- Department of Medicine, Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Fang Ji
- Department of Medicine, Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Emilio Werden
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia
| | - Mohamed Salah Khlif
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia
| | - Kwun Kei Ng
- Department of Medicine, Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Joseph K W Lim
- Department of Medicine, Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Xing Qian
- Department of Medicine, Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Haoyong Yu
- Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore, Singapore
| | - Juan Helen Zhou
- Department of Medicine, Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Amy Brodtmann
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia
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Mezger E, Brunoni AR, Hasan A, Häckert J, Strube W, Keeser D, Padberg F, Palm U. tDCS for auditory verbal hallucinations in a case of schizophrenia and left frontal lesion: efield simulation and clinical results. Neurocase 2020; 26:241-247. [PMID: 32529897 DOI: 10.1080/13554794.2020.1776334] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Transcranial direct current stimulation (tDCS) has been explored for treatment of several neuropsychiatric disorders. For tDCS use in structural brain lesions there is some evidence from motor stroke rehabilitation and post-stroke depression. Here we report the application of tDCS in a woman previously diagnosed with schizophrenia presenting refractory auditory verbal hallucinations and left prefrontal tissue lesion. Treatment with 20 left fronto-temporal tDCS had no effect on psychiatric symptoms and neuropsychological evaluation. An ex-post electric field simulation and calculation of dorsolateral prefrontal cortex activation showed lower activation in this patient compared to a matched non-lesioned schizophrenia, and healthy control brain.
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Affiliation(s)
- Eva Mezger
- Department of Psychiatry and Psychotherapy, Klinikum der Universität München , Munich, Germany
| | - Andre R Brunoni
- Department of Psychiatry and Psychotherapy, Klinikum der Universität München , Munich, Germany.,Department and Institute of Psychiatry, Laboratory of Neurosciences (LIM-27), University of Sao Paulo , São Paulo, Brazil
| | - Alkomiet Hasan
- Department of Psychiatry and Psychotherapy, Klinikum der Universität München , Munich, Germany.,Psychotherapy and Psychosomatics of the University of Augsburg, Bezirkskrankenhaus Augsburg , Augsburg, Germany.,Medizinische Fakultät, Universität Augsburg , Augsburg, Germany
| | - Jan Häckert
- Department of Psychiatry and Psychotherapy, Klinikum der Universität München , Munich, Germany
| | - Wolfgang Strube
- Department of Psychiatry and Psychotherapy, Klinikum der Universität München , Munich, Germany.,Psychotherapy and Psychosomatics of the University of Augsburg, Bezirkskrankenhaus Augsburg , Augsburg, Germany.,Medizinische Fakultät, Universität Augsburg , Augsburg, Germany
| | - Daniel Keeser
- Department of Psychiatry and Psychotherapy, Klinikum der Universität München , Munich, Germany.,Institute for Clinical Radiology, Klinikum der Universität München , Munich, Germany
| | - Frank Padberg
- Department of Psychiatry and Psychotherapy, Klinikum der Universität München , Munich, Germany
| | - Ulrich Palm
- Department of Psychiatry and Psychotherapy, Klinikum der Universität München , Munich, Germany.,Hospital for Psychosomatics, Medical Park Chiemseeblick , Bernau-Felden, Germany
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Iadecola C, Buckwalter MS, Anrather J. Immune responses to stroke: mechanisms, modulation, and therapeutic potential. J Clin Invest 2020; 130:2777-2788. [PMID: 32391806 PMCID: PMC7260029 DOI: 10.1172/jci135530] [Citation(s) in RCA: 372] [Impact Index Per Article: 93.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Stroke is the second leading cause of death worldwide and a leading cause of disability. Most strokes are caused by occlusion of a major cerebral artery, and substantial advances have been made in elucidating how ischemia damages the brain. In particular, increasing evidence points to a double-edged role of the immune system in stroke pathophysiology. In the acute phase, innate immune cells invade brain and meninges and contribute to ischemic damage, but may also be protective. At the same time, danger signals released into the circulation by damaged brain cells lead to activation of systemic immunity, followed by profound immunodepression that promotes life-threatening infections. In the chronic phase, antigen presentation initiates an adaptive immune response targeted to the brain, which may underlie neuropsychiatric sequelae, a considerable cause of poststroke morbidity. Here, we briefly review these pathogenic processes and assess the potential therapeutic value of targeting immunity in human stroke.
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Affiliation(s)
- Costantino Iadecola
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, New York, USA
| | - Marion S. Buckwalter
- Department of Neurology and Neurological Sciences, Stanford University Medical Center, Stanford, California, USA
| | - Josef Anrather
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, New York, USA
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Wang C, Zhao L, Luo Y, Liu J, Miao P, Wei S, Shi L, Cheng J. Structural covariance in subcortical stroke patients measured by automated MRI-based volumetry. NEUROIMAGE-CLINICAL 2019; 22:101682. [PMID: 30710874 PMCID: PMC6357849 DOI: 10.1016/j.nicl.2019.101682] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/12/2018] [Revised: 12/27/2018] [Accepted: 01/20/2019] [Indexed: 12/03/2022]
Abstract
A network-level investigation of the volumetric changes of subcortical stroke patients is still lacking. Here, we explored the alterations of structural covariance caused by subcortical stroke with automated brain volumetry. T1-weighed brain MRI scans were obtained from 63 normal controls (NC), 46 stroke patients with infarct in left internal capsule (CI_L), 33 stroke patients with infarct in right internal capsule (CI_R). We performed automatic anatomical segmentation of the T1-weighted brain images with AccuBrain. Volumetric structural covariance analyses were first performed within the basal ganglia structures that were both identified by voxel-based morphometry with AAL atlas and AccuBrain. Subsequently, we additionally included the infratentorial regions that were particularly quantified by AccuBrain for the structural covariance analyses and investigated the alterations of anatomical connections within these subcortical regions in CI_L and CI_R compared with NC. The association between the regional brain volumetry and motor function was also evaluated in stroke groups. There were significant and extensive volumetric differences in stroke patients. These significant regions were generally symmetric for CI_L and CI_R group depending on the side of stroke, involving both regions close to lesions and remote regions. The structural covariance analyses revealed the synergy volume alteration in subcortical regions both in CI_L and CI_R group. In addition, the alterations of volumetric structural covariance were more extensive in CI_L group than CI_R group. Moreover, we found that the subcortical regions with atrophy contributed to the deficits of motor function in CI_R group but not CI_L group, indicating a lesion-side effect of brain volumetric changes after stroke. These findings indicated that the chronic subcortical stroke patients have extensive disordered anatomical connections involving the whole-brain level network, and the connections patterns depend on the lesion-side. Chronic subcortical stroke patients show extensive brain volumetric atrophy. Subcortical stroke patients show disordered structural covariance network pattern. Brain volumetric and connections patterns change depend on the lesion-side.
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Affiliation(s)
- Caihong Wang
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Lei Zhao
- BrainNow Research Institute, Shenzhen, Guangdong Province, China
| | - Yishan Luo
- BrainNow Research Institute, Shenzhen, Guangdong Province, China
| | - Jingchun Liu
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Peifang Miao
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Sen Wei
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Lin Shi
- BrainNow Research Institute, Shenzhen, Guangdong Province, China; Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, Hong Kong.
| | - Jingliang Cheng
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
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