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Freiman S, Hauser WA, Rider F, Yaroslavskaya S, Sazina O, Vladimirova E, Kaimovsky I, Shpak A, Gulyaeva N, Guekht A. Post-stroke seizures, epilepsy, and mortality in a prospective hospital-based study. Front Neurol 2023; 14:1273270. [PMID: 38107633 PMCID: PMC10722584 DOI: 10.3389/fneur.2023.1273270] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Accepted: 11/06/2023] [Indexed: 12/19/2023] Open
Abstract
Background and objectives Post-stroke epilepsy (PSE) is a significant concern in the elderly population, with stroke being a leading cause of epilepsy in this demographic. Several factors have shown consistent associations with the risk of developing PSE, including cortical lesions, initial stroke severity, younger age, and the occurrence of early seizures. The primary objectives of this study were two-fold: (1) to determine the incidence of PSE and (2) to identify the risk factors associated with PSE in a prospective cohort of post-stroke patients. Methods A prospective single-hospital study was conducted, involving patients diagnosed with acute ischemic and hemorrhagic stroke. The patients were followed up for 2 years (or until death) from the time of admission. Data about seizure occurrence and recurrent stroke were collected. Kaplan-Meyer curves were used for the assessment of PSE incidence and mortality. Possible predictors of PSE and mortality were selected from between-group analysis and tested in multivariable regressions. Results Our study enrolled a total of 424 patients diagnosed with acute stroke. Among them, 97 cases (23%) experienced early post-stroke seizures, and 28 patients (6.6%) developed PSE. The cumulative risks of developing PSE were found to be 15.4% after hemorrhagic stroke and 8.7% after ischemic stroke. In multivariable fine and gray regression with competitive risk of death, significant predictors for developing PSE in the ischemic cohort were watershed infarction (HR 6.01, 95% CI 2.29-15.77, p < 0.001) and low Barthel index at discharge (HR 0.98, CI 0.96-0.99, p = 0.04). Furthermore, patients who eventually developed PSE showed slower recovery and presented a worse neurologic status at the time of discharge. The in-hospital dynamics of the National Institutes of Health Stroke Scale (NIHSS) were significantly worse in the PSE group compared to the non-PSE group (p = 0.01). Discussion A higher proportion of cases experienced early seizures compared to what has been commonly reported in similar studies. Watershed stroke and low Barthel index at discharge were both identified as independent risk factors of PSE in ischemic strokes, which sheds light on the underlying mechanisms that may predispose individuals to post-stroke epilepsy after experiencing an ischemic stroke.
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Affiliation(s)
- Sofia Freiman
- Moscow Research and Clinical Center for Neuropsychiatry of the Healthcare Department of Moscow, Moscow, Russia
- Laboratory of Functional Biochemistry of the Nervous System, Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Moscow, Russia
| | - W. Allen Hauser
- Gertrude H. Sergievsky Center, College of Physicians and Surgeons, New York, NY, United States
| | - Flora Rider
- Moscow Research and Clinical Center for Neuropsychiatry of the Healthcare Department of Moscow, Moscow, Russia
| | - Sofia Yaroslavskaya
- Moscow Research and Clinical Center for Neuropsychiatry of the Healthcare Department of Moscow, Moscow, Russia
| | - Olga Sazina
- Buyanov City Hospital of the Healthcare Department of Moscow, Moscow, Russia
| | - Elena Vladimirova
- Konchalovsky City Hospital of the Healthcare Department of Moscow, Moscow, Russia
| | - Igor Kaimovsky
- Moscow Research and Clinical Center for Neuropsychiatry of the Healthcare Department of Moscow, Moscow, Russia
- Buyanov City Hospital of the Healthcare Department of Moscow, Moscow, Russia
| | - Alexander Shpak
- The Fyodorov Eye Microsurgery Federal State Institution, Moscow, Russia
| | - Natalia Gulyaeva
- Moscow Research and Clinical Center for Neuropsychiatry of the Healthcare Department of Moscow, Moscow, Russia
- Laboratory of Functional Biochemistry of the Nervous System, Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Moscow, Russia
| | - Alla Guekht
- Moscow Research and Clinical Center for Neuropsychiatry of the Healthcare Department of Moscow, Moscow, Russia
- Buyanov City Hospital of the Healthcare Department of Moscow, Moscow, Russia
- Pirogov Russian National Research Medical University, Moscow, Russia
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Abstract
Memory impairment occurs in over a third of patients after symptomatic stroke. Memory deficits rarely occur in isolation but are an important component of the poststroke cognitive syndrome because of the strong relationship with the risk of poststroke dementia. In this review, we summarize available data on impairment of episodic memory, with a particular emphasis on the natural history of memory impairment after stroke and the factors influencing trajectory informed by an updated systematic review. We next discuss the pathophysiology of memory impairment and mechanisms of both decline and recovery of function. We then turn to the practical issue of measurement of memory deficits after stroke, emerging biomarkers, and therapeutic approaches. Our review identifies critical gaps, particularly in studies of the natural history that properly map the long-term trajectory of memory and the associations with factors that modulate prognosis. Few studies have used advanced neuroimaging and this, in conjunction with other biomarker approaches, has the potential to provide a much richer understanding of the mechanisms at play and promising therapeutic avenues.
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Affiliation(s)
- Michael J O'Sullivan
- Institute for Molecular Bioscience, University of Queensland, St Lucia, Australia (M.J.O.).,UQ Centre for Clinical Research, Faculty of Medicine, University of Queensland, Herston, Australia (M.J.O., X.L., D.G.).,Department of Neurology, Royal Brisbane and Women's Hospital, QLD, Australia (M.J.O.)
| | - Xuqian Li
- UQ Centre for Clinical Research, Faculty of Medicine, University of Queensland, Herston, Australia (M.J.O., X.L., D.G.)
| | - Dana Galligan
- UQ Centre for Clinical Research, Faculty of Medicine, University of Queensland, Herston, Australia (M.J.O., X.L., D.G.)
| | - Sarah T Pendlebury
- Wolfson Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom (S.T.P.).,Departments of Medicine and Geratology and UK National Institute for Health and Care Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, United Kingdom (S.T.P.)
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Lu W, Richards M, Werring D, Bobak M. Memory Trajectories Before and After First and Recurrent Strokes. Neurology 2022; 98:e589-e600. [PMID: 34893555 PMCID: PMC8829961 DOI: 10.1212/wnl.0000000000013171] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 11/19/2021] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Evidence on timing of memory change after first and recurrent strokes is limited and inconsistent. We investigated memory trajectories before and after first and recurrent strokes in 18 European countries and tested whether the country-level acute stroke care was associated with memory change after stroke. METHODS Data were from the Survey of Health, Ageing and Retirement in Europe (2004-2019). Incident first and recurrent strokes were identified among baseline stroke-free individuals. Within each country, each participant with incident stroke (case group) was matched with a stroke-free individual (control group) using propensity score matching. We applied multilevel segmented linear regression to quantify acute and accelerated memory changes (measured by the sum score of immediate and delayed word recall tests; 0-20 words) before and after first and recurrent strokes in both groups. Associations between stroke and memory were compared between countries with different levels of acute stroke care indicators. RESULTS The final analytical sample included 35,164 participants who were stroke-free at baseline (≥50 years). A total of 2,362 incident first and 341 recurrent strokes between 2004 and 2019 were identified. In case groups, mean acute decreases in memory scores were 0.48 (95% confidence interval [CI] 0.31, 0.65) and 1.14 (95% CI 0.80, 1.48) words after first and recurrent stroke, respectively, independent of a range of confounders. No such acute decreases were observed in the control group after a hypothetical nonstroke onset date. In both groups, memory declined over time but decline rates were similar (-0.07 [95% CI -0.10, -0.05] vs -0.06 [95% CI -0.08, -0.05] words per year). The mean acute decreases in memory scores after first and recurrent strokes were smaller in countries with better access to endovascular treatment. DISCUSSION We found acute decreases but not accelerated declines in memory after first and recurrent strokes. Improved endovascular therapy might be associated with smaller memory loss after stroke but more evidence based on individual-level data is needed. More effort should be made in early assessment and intensive prevention of stroke among the ageing population and promoting access to and delivery of acute stroke care among patients with stroke.
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Affiliation(s)
- Wentian Lu
- From the Research Department of Epidemiology and Public Health (W.L., M.B.), MRC Unit for Lifelong Health & Ageing (M.R.), and Stroke Research Centre, UCL Queen Square Institute of Neurology (D.W.), University College London, UK.
| | - Marcus Richards
- From the Research Department of Epidemiology and Public Health (W.L., M.B.), MRC Unit for Lifelong Health & Ageing (M.R.), and Stroke Research Centre, UCL Queen Square Institute of Neurology (D.W.), University College London, UK
| | - David Werring
- From the Research Department of Epidemiology and Public Health (W.L., M.B.), MRC Unit for Lifelong Health & Ageing (M.R.), and Stroke Research Centre, UCL Queen Square Institute of Neurology (D.W.), University College London, UK
| | - Martin Bobak
- From the Research Department of Epidemiology and Public Health (W.L., M.B.), MRC Unit for Lifelong Health & Ageing (M.R.), and Stroke Research Centre, UCL Queen Square Institute of Neurology (D.W.), University College London, UK
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Weaver NA, Lim JS, Schilderinck J, Biessels GJ, Kang Y, Kim BJ, Kuijf HJ, Lee BC, Lee KJ, Yu KH, Bae HJ, Biesbroek JM. Strategic Infarct Locations for Poststroke Depressive Symptoms: A Lesion- and Disconnection-Symptom Mapping Study. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2021; 8:387-396. [PMID: 34547548 DOI: 10.1016/j.bpsc.2021.09.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 08/11/2021] [Accepted: 09/08/2021] [Indexed: 01/06/2023]
Abstract
BACKGROUND Depression is the most common neuropsychiatric complication after stroke. Infarct location is associated with poststroke depressive symptoms (PSDS), but it remains debated which brain structures are critically involved. We performed a large-scale lesion-symptom mapping study to identify infarct locations and white matter disconnections associated with PSDS. METHODS We included 553 patients (mean [SD] age = 69 [11] years, 42% female) with acute ischemic stroke. PSDS were measured using the 30-item Geriatric Depression Scale. Multivariable support vector regression (SVR)-based analyses were performed both at the level of individual voxels (voxel-based lesion-symptom mapping) and at predefined regions of interest to relate infarct location to PSDS. We externally validated our findings in an independent stroke cohort (N = 459). Finally, disconnectome-based analyses were performed using SVR voxel-based lesion-symptom mapping, in which white matter fibers disconnected by the infarct were analyzed instead of the infarct itself. RESULTS Infarcts in the right amygdala, right hippocampus, and right pallidum were consistently associated with PSDS (permutation-based p < .05) in SVR voxel-based lesion-symptom mapping and SVR region-of-interest analyses. External validation confirmed the association between infarcts in the right amygdala and pallidum, but not the right hippocampus, and PSDS. Disconnectome-based analyses revealed that disconnections in the right parahippocampal white matter, right thalamus and pallidum, and right anterior thalamic radiation were significantly associated (permutation-based p < .05) with PSDS. CONCLUSIONS Infarcts in the right amygdala and pallidum and disconnections of right limbic and frontal cortico-basal ganglia-thalamic circuits are associated with PSDS. Our findings provide a comprehensive and integrative picture of strategic infarct locations for PSDS and shed new light on pathophysiological mechanisms of depression after stroke.
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Affiliation(s)
- Nick A Weaver
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands.
| | - Jae-Sung Lim
- Department of Neurology, Asan Medical Center, Seoul, Republic of Korea
| | - Janniek Schilderinck
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Geert Jan Biessels
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Yeonwook Kang
- Department of Neurology, Hallym University Sacred Heart Hospital, Hallym Neurological Institute, College of Medicine, Hallym University, Anyang, Republic of Korea; Department of Psychology, Hallym University, Chuncheon, Republic of Korea
| | - Beom Joon Kim
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea
| | - Hugo J Kuijf
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Byung-Chul Lee
- Department of Neurology, Hallym University Sacred Heart Hospital, Hallym Neurological Institute, College of Medicine, Hallym University, Anyang, Republic of Korea
| | - Keon-Joo Lee
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea
| | - Kyung-Ho Yu
- Department of Neurology, Hallym University Sacred Heart Hospital, Hallym Neurological Institute, College of Medicine, Hallym University, Anyang, Republic of Korea
| | - Hee-Joon Bae
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea
| | - J Matthijs Biesbroek
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
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Sexton E, Merriman NA, Donnelly NA, Wren MA, Hickey A, Bennett KE. Poststroke Cognitive Impairment in Model-Based Economic Evaluation: A Systematic Review. Dement Geriatr Cogn Disord 2020; 48:234-240. [PMID: 32187606 DOI: 10.1159/000506283] [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] [Received: 12/06/2019] [Accepted: 01/30/2020] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Cognitive impairment (CI) is a frequent consequence of stroke and is associated with increased costs and reduced quality of life. However, its inclusion in model-based economic evaluation for stroke is limited. OBJECTIVE To identify, review, and critically appraise current models of stroke for use in economic evaluation, and to identify applicability to modeling poststroke CI. METHODS PubMed, EMBASE, and the NHS Economic Evaluations Database (NHS EED) were systematically searched for papers published from January 2008 to August 2018. Studies that described the development or design of a model of stroke progression intended for use in economic evaluation were included. Abstracts were screened, followed by full text review of potentially relevant articles. Models that included CI were retained for data extraction, and among the remainder, models that included both stroke recurrence and disability were also retained. Relevance and potential for adaptation for modeling CI were assessed using a standard questionnaire. RESULTS Forty modeling studies were identified and categorized into 4 groups: Markov disability/recurrence (k = 29); CI (k = 2); discrete event simulation (k = 4), and other (k = 5). Only 2 modeling studies included CI as an outcome, and both focused on narrow populations at risk of intracranial aneurysm. None of the models allowed for disease progression in the absence of a stroke recurrence. None of the included studies carried out any sensitivity analysis in relation to model design or structure. CONCLUSIONS Current stroke models used in economic evaluation are not adequate to model poststroke CI or dementia, and will require adaptation to be used for this purpose.
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Affiliation(s)
- Eithne Sexton
- Department of Health Psychology, Royal College of Surgeons in Ireland, Dublin, Ireland,
| | - Niamh A Merriman
- Department of Health Psychology, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Nora-Ann Donnelly
- Social Research Division, Economic and Social Research Institute, Dublin, Ireland
| | - Maev-Ann Wren
- Social Research Division, Economic and Social Research Institute, Dublin, Ireland
| | - Anne Hickey
- Department of Health Psychology, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Kathleen E Bennett
- Division of Population Health Science, Royal College of Surgeons in Ireland, Dublin, Ireland
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Hagberg G, Fure B, Thommessen B, Ihle-Hansen H, Øksengård AR, Nygård S, Pendlebury ST, Beyer MK, Wyller TB, Ihle-Hansen H. Predictors for Favorable Cognitive Outcome Post-Stroke: A-Seven-Year Follow-Up Study. Dement Geriatr Cogn Disord 2020; 48:45-55. [PMID: 31461703 DOI: 10.1159/000501850] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Accepted: 07/01/2019] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND AND PURPOSE Knowledge of the burden and development of post-stroke cognitive impairments (CIs) in the long-term after the first event is limited. We aimed to assess the prevalence of mild CI (MCI) and dementia 7 years after first-ever stroke or transient ischemic attack (TIA), to subclassify the impairments, and to identify predictors for a favorable cognitive outcome. MATERIALS AND METHODS During 2007 and 2008, 208 patients with first-ever stroke or TIA without preexisting CI were included. After 1 and 7 years, survivors were invited to a follow-up. Transitions of cognitive status from 1 to 7 years were recorded based on the 3 categories dementia, MCI, or none. Etiologic subclassification was based on clinical cognitive profile, magnetic resonance imaging (MRI) findings, and biomarkers at both time points. Favorable outcome was defined as normal cognitive function or MCI after 7 years with exclusion of those who had progression from normal to MCI. RESULTS Eighty patients died during follow-up, 12 patients refused further participation. After 7 years, 109 completed follow-up of whom 40 (37%) were diagnosed with MCI and 24 (22%) with dementia. Of the 64 patients diagnosed with CI, 9 were subclassified with degenerative cognitive disease, 13 with vascular disease, and 42 had mixed cognitive disease. In all, 65 patients (60%) had a favorable outcome. In multivariable logistic regression analysis, lower age and lower medial temporal lobe atrophy (MTLA) grade on MRI at 12 months were independently associated with a favorable outcome, adjusted OR (95% CI), 0.94 (0.86-0.92), and 0.55 (0.35-0.85), respectively. CONCLUSIONS Sixty percent of stroke survivors have a favorable cognitive outcome. Lower age and lower MTLA grade on MRI were associated with favorable outcome.
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Affiliation(s)
- Guri Hagberg
- Department of Internal Medicine, Bærum Hospital, Vestre Viken Hospital Trust, Oslo, Norway, .,Institute of Clinical Medicine, University of Oslo, Oslo, Norway,
| | - Brynjar Fure
- Department of Internal Medicine, Karlstad Central Hospital and Institute of Public Health, University of Tromsoe, Tromsoe, Norway
| | - Bente Thommessen
- Department of Neurology, Akershus University Hospital, Akershus, Norway
| | - Håkon Ihle-Hansen
- Department of Internal Medicine, Bærum Hospital, Vestre Viken Hospital Trust, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Anne-Rita Øksengård
- Department of Internal Medicine, Bærum Hospital, Vestre Viken Hospital Trust, Oslo, Norway
| | - Ståle Nygård
- Bioinformatics Core Facility, Institute for Cancer Research, Oslo University Hospital and Department of Informatics, University of Oslo, Oslo, Norway
| | - Sarah T Pendlebury
- Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, NIHR Oxford Biomedical Research Centre, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
| | - Mona K Beyer
- Department of Radiology and Nuclear Medicine and Institute of Clinical Medicine, University of Oslo, Oslo University Hospital, Oslo, Norway
| | - Torgeir Bruun Wyller
- Department of Geriatric Medicine, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Hege Ihle-Hansen
- Department of Internal Medicine, Bærum Hospital, Vestre Viken Hospital Trust, Oslo, Norway.,Department of Geriatric Medicine, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
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Lim JS, Lee JJ, Woo CW, Song J, Oh MS, Yu KH, Lee BC. Individual-Level Lesion-Network Mapping to Visualize the Effects of a Stroke Lesion on the Brain Network: Connectograms in Stroke Syndromes. J Clin Neurol 2020; 16:116-123. [PMID: 31942767 PMCID: PMC6974837 DOI: 10.3988/jcn.2020.16.1.116] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Revised: 10/01/2019] [Accepted: 10/01/2019] [Indexed: 12/11/2022] Open
Abstract
Background and Purpose Similar-sized stroke lesions at similar locations can have different prognoses in clinical practice. Lesion-network mapping elucidates network-level effects of lesions that cause specific neurologic symptoms and signs, and also provides a group-level understanding. This study visualized the effects of stroke lesions on the functional brain networks of individual patients. Methods We enrolled patients with ischemic stroke who were hospitalized within 1 week of the stroke occurrence. Resting-state functional magnetic resonance imaging was performed 3 months after the index stroke. For image preprocessing, acute stroke lesions were visually delineated based on diffusion-weighted images obtained at admission, and the lesion mask was drawn using MRIcron software. Correlation matrices were calculated from 280 brain regions using the Brainnetome Atlas, and connectograms were visualized using in-house MATLAB code. Results We found characteristic differences in connectograms between pairs of patients who had comparable splenial, frontal cortical, cerebellar, and thalamocapsular lesions. Two representative patients with bilateral thalamic infarctions showed significant differences in their reconstructed connectograms. The cognitive function had recovered well at 3 months after stroke occurrence in patients with well-maintained interhemispheric and intrahemispheric connectivities. Conclusions This pilot study has visualized the effects of stroke lesions on the functional brain networks of individual patients. Consideration of the neurobiologic mechanisms underlying the differences between their connectograms has yielded new hypotheses about differences in the effects of stroke lesions.
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Affiliation(s)
- Jae Sung Lim
- Department of Neurology, Hallym University Sacred Heart Hospital, Hallym Neurological Institute, Hallym University College of Medicine, Anyang, Korea.
| | - Jae Joong Lee
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea.,Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Korea
| | - Choong Wan Woo
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea.,Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Korea
| | - Jooyeon Song
- Department of Neurology, Hallym University Sacred Heart Hospital, Hallym Neurological Institute, Hallym University College of Medicine, Anyang, Korea
| | - Mi Sun Oh
- Department of Neurology, Hallym University Sacred Heart Hospital, Hallym Neurological Institute, Hallym University College of Medicine, Anyang, Korea
| | - Kyung Ho Yu
- Department of Neurology, Hallym University Sacred Heart Hospital, Hallym Neurological Institute, Hallym University College of Medicine, Anyang, Korea
| | - Byung Chul Lee
- Department of Neurology, Hallym University Sacred Heart Hospital, Hallym Neurological Institute, Hallym University College of Medicine, Anyang, Korea
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