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Moore MJ, Mattingley JB, Demeyere N. Multivariate and network lesion mapping reveals distinct architectures of domain-specific post-stroke cognitive impairments. Neuropsychologia 2024; 204:109007. [PMID: 39362629 DOI: 10.1016/j.neuropsychologia.2024.109007] [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: 05/16/2024] [Revised: 08/20/2024] [Accepted: 10/01/2024] [Indexed: 10/05/2024]
Abstract
BACKGROUND The purpose of this study was to identify patterns of structural disconnection and multivariate lesion-behaviour relationships associated with post-stroke deficits across six commonly impacted cognitive domains: executive function, language, memory, numerical processing, praxis, and visuospatial attention. METHODS Stroke survivors (n = 593) completed a brief domain-specific cognitive assessment (the Oxford Cognitive Screen (OCS)) during acute hospitalisation. Network-level and multivariate (sparce canonical correlation) lesion mapping analyses were conducted to identify focal neural correlates and distributed patterns of structural disconnection associated with impairment on each of the 16 OCS measures. RESULTS Network-level and multivariate lesion mapping analyses identified significant correlates for 12/16 and 10/16 OCS measures, respectively which were largely consistent with correlates reported in past work. Language impairments were reliably localised to network- and voxel-level correlates centred in left fronto-temporal regions. Memory impairments were associated with disconnection in a large network of left hemisphere regions. Number processing deficits were associated with damage to voxels centred in the left insular/opercular cortex, as well as disconnection within the surrounding white matter tracts. Within the domain of attention, different subtypes of visuospatial neglect were linked to distinct but partially overlapping patterns of disconnection and voxel-level damage. Praxis impairment was not linked to any voxel-level regions but was significantly associated with disconnection within the left hemisphere dorsal attention network. CONCLUSION These results highlight the utility of routine, domain-specific cognitive assessment and imaging data for theoretically-driven lesion mapping analyses, while providing novel insight into the complex anatomical correlates of common and debilitating post-stroke cognitive impairments.
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Affiliation(s)
- Margaret Jane Moore
- Queensland Brain Institute & School of Psychology, The University of Queensland, St Lucia, 4072, Australia.
| | - Jason B Mattingley
- Queensland Brain Institute & School of Psychology, The University of Queensland, St Lucia, 4072, Australia; Canadian Institute for Advanced Research, Toronto, Canada
| | - Nele Demeyere
- Department of Experimental Psychology, University of Oxford, United Kingdom; Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom
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Wang J, Wang Y, Cai X, Xia W, Zhu J. A Review: Visuospatial Dysfunction in Patients with the Cerebral Small Vessel Disease. Neuroscience 2024; 552:47-53. [PMID: 38880241 DOI: 10.1016/j.neuroscience.2024.06.007] [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: 04/27/2024] [Revised: 06/06/2024] [Accepted: 06/10/2024] [Indexed: 06/18/2024]
Abstract
Cerebral small vessel disease (CSVD) impairs visuospatial function, and this is one of the most obvious areas of cognitive impairment in CSVD. So, recognizing, monitoring, and treating visuospatial dysfunction are all important to the prognosis of CSVD. This review discussed the anatomical and pathological mechanisms, clinical recognition (scales, imaging, and biomarkers), and treatment of cognitive impairment especially visuospatial dysfunction in CSVD.
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Affiliation(s)
- Jiaxing Wang
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Youmeng Wang
- Department of Neurology, Fuyang People's Hospital, Fuyang, China
| | - Xiuying Cai
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Wei Xia
- Department of Ophthalmology, The First Affiliated Hospital of Soochow University, Suzhou, China.
| | - Juehua Zhu
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China.
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Oestreich LKL, Wright P, O'Sullivan MJ. Cardiovascular risk factors are associated with cognitive trajectory in the first year after stroke. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2024; 7:100230. [PMID: 38988670 PMCID: PMC11231527 DOI: 10.1016/j.cccb.2024.100230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 05/05/2024] [Accepted: 06/07/2024] [Indexed: 07/12/2024]
Abstract
Introduction Stroke often leads to cognitive impairment, but its progression and influencing factors over time remain poorly understood. This study evaluates immediate post-stroke cognitive impacts and investigates the influence of concurrent factors on cognitive evolution over the first year. Patients and methods In the STRATEGIC study, 179 patients with first symptomatic ischemic stroke underwent neuropsychological assessments within three months post-stroke, and 141 were re-evaluated at 12 months. Risk factors tested for associations with cognitive outcome included demographic variables, cardiovascular and other medical factors, and lesion characteristics. Cognitive performance was primarily measured via the Montreal Cognitive Assessment (MoCA), with domain-specific assessments for episodic memory (Free and Cued Selective Reminding Task), short-term memory (Digit Span forward), and working memory (Digit Span backward). Results At the time of stroke, participants ranged in age from 46 to 89 years (M = 70, SD = 9.5) and 36.9% were female. Ischemic heart disease predicted cognitive non-improvement between 3 and 12 months. Atrial fibrillation and carotid stenosis were linked to changes in episodic and working memory, respectively. Moreover, female sex and lower education correlated with stagnant global cognition and episodic memory. Discussion and conclusion Our findings underscore the important influence of cardiovascular risk factors on cognitive functional recovery after stroke. Interventions targeting these risk factors may improve cognitive prognosis and affect traditional outcome measures such as recurrent vascular events. Future trials should include cognitive measures to fully capture the potential benefits of intensive risk factor intervention.
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Affiliation(s)
- Lena KL Oestreich
- School of Psychology, The University of Queensland, Brisbane, Australia
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, Australia
- Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia
- National Imaging Facility, University of Queensland, Brisbane, Australia
| | - Paul Wright
- Department of Biomedical Engineering and Imaging Sciences, King's College London, United Kingdom
| | - Michael J O'Sullivan
- Department of Neurology, Royal Brisbane and Women's Hospital, Herston, Australia
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia
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Khalilian M, Roussel M, Godefroy O, Aarabi A. Predicting functional impairments with lesion-derived disconnectome mapping: Validation in stroke patients with motor deficits. Eur J Neurosci 2024; 59:3074-3092. [PMID: 38578844 DOI: 10.1111/ejn.16334] [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: 08/10/2023] [Revised: 02/24/2024] [Accepted: 03/07/2024] [Indexed: 04/07/2024]
Abstract
Focal structural damage to white matter tracts can result in functional deficits in stroke patients. Traditional voxel-based lesion-symptom mapping is commonly used to localize brain structures linked to neurological deficits. Emerging evidence suggests that the impact of structural focal damage may extend beyond immediate lesion sites. In this study, we present a disconnectome mapping approach based on support vector regression (SVR) to identify brain structures and white matter pathways associated with functional deficits in stroke patients. For clinical validation, we utilized imaging data from 340 stroke patients exhibiting motor deficits. A disconnectome map was initially derived from lesions for each patient. Bootstrap sampling was then employed to balance the sample size between a minority group of patients exhibiting right or left motor deficits and those without deficits. Subsequently, SVR analysis was used to identify voxels associated with motor deficits (p < .005). Our disconnectome-based analysis significantly outperformed alternative lesion-symptom approaches in identifying major white matter pathways within the corticospinal tracts associated with upper-lower limb motor deficits. Bootstrapping significantly increased the sensitivity (80%-87%) for identifying patients with motor deficits, with a minimum lesion size of 32 and 235 mm3 for the right and left motor deficit, respectively. Overall, the lesion-based methods achieved lower sensitivities compared with those based on disconnection maps. The primary contribution of our approach lies in introducing a bootstrapped disconnectome-based mapping approach to identify lesion-derived white matter disconnections associated with functional deficits, particularly efficient in handling imbalanced data.
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Affiliation(s)
- Maedeh Khalilian
- Laboratory of Functional Neuroscience and Pathologies (UR UPJV 4559), University Research Center (CURS), University of Picardy Jules Verne, Amiens, France
| | - Martine Roussel
- Laboratory of Functional Neuroscience and Pathologies (UR UPJV 4559), University Research Center (CURS), University of Picardy Jules Verne, Amiens, France
| | - Olivier Godefroy
- Laboratory of Functional Neuroscience and Pathologies (UR UPJV 4559), University Research Center (CURS), University of Picardy Jules Verne, Amiens, France
- Faculty of Medicine, University of Picardy Jules Verne, Amiens, France
- Neurology Department, Amiens University Hospital, Amiens, France
| | - Ardalan Aarabi
- Laboratory of Functional Neuroscience and Pathologies (UR UPJV 4559), University Research Center (CURS), University of Picardy Jules Verne, Amiens, France
- Faculty of Medicine, University of Picardy Jules Verne, Amiens, France
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Ramirez-Garcia G, Escutia-Macedo X, Cook DJ, Moreno-Andrade T, Villarreal-Garza E, Campos-Coy M, Elizondo-Riojas G, Gongora-Rivera F, Garza-Villarreal EA, Fernandez-Ruiz J. Consistent spatial lesion-symptom patterns: A comprehensive analysis using triangulation in lesion-symptom mapping in a cohort of stroke patients. Magn Reson Imaging 2024; 109:286-293. [PMID: 38531463 DOI: 10.1016/j.mri.2024.03.031] [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: 02/08/2024] [Revised: 02/29/2024] [Accepted: 03/19/2024] [Indexed: 03/28/2024]
Abstract
INTRODUCTION The relationship between brain lesions and stroke outcomes is crucial for advancing patient prognosis and developing effective therapies. Stroke is a leading cause of disability worldwide, and it is important to understand the neurological basis of its varied symptomatology. Lesion-symptom mapping (LSM) methods provide a means to identify brain areas that are strongly associated with specific symptoms. However, inner variations in LSM methods can yield different results. To address this, our study aimed to characterize the lesion-symptom mapping variability using three different LSM methods. Specifically, we sought to determine a lesion symptom core across LSM approaches enhancing the robustness of the analysis and removing potential spatial bias. MATERIAL & METHODS A cohort consisting of 35 patients with either right- or left-sided middle cerebral artery strokes were enrolled and evaluated using the NIHSS at 24 h post-stroke. Anatomical T1w MRI scans were also obtained 24 h post-stroke. Lesion masks were segmented manually and three distinctive LSM methods were implemented: ROI correlation-based, univariate, and multivariate approaches. RESULTS The results of the LSM analyses showed substantial spatial differences in the extension of each of the three lesion maps. However, upon overlaying all three lesion-symptom maps, a consistent lesion core emerged, corresponding to the territory associated with elevated NIHSS scores. This finding not only enhances the spatial accuracy of the lesion map but also underscores its clinical relevance. CONCLUSION This study underscores the significance of exploring complementary LSM approaches to investigate the association between brain lesions and stroke outcomes. By utilizing multiple methods, we can increase the robustness of our results, effectively addressing and neutralizing potential spatial bias introduced by each individual method. Such an approach holds promise for enhancing our understanding of stroke pathophysiology and optimizing patient care strategies.
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Affiliation(s)
- Gabriel Ramirez-Garcia
- Laboratorio de Neuropsicologia, Departamento de Fisiologia, Facultad de Medicina, Universidad Nacional Autonoma de Mexico, Ciudad de Mexico, Mexico; Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada
| | - Ximena Escutia-Macedo
- Laboratorio de Neuropsicologia, Departamento de Fisiologia, Facultad de Medicina, Universidad Nacional Autonoma de Mexico, Ciudad de Mexico, Mexico
| | - Douglas J Cook
- Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada; Translational Stroke Research Lab, Department of Surgery, Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada
| | - Talia Moreno-Andrade
- Departamento de Neurologia, Hospital Universitario Dr. Jose Eleuterio Gonzalez Universidad Autonoma de Nuevo León, Monterrey, Nuevo Leon, Mexico; Unidad de Neuromodulacion y Plasticidad Cerebral, Centro de Investigacion y Desarrollo en Ciencias de la Salud, Universidad Autonoma de Nuevo Leon, Monterrey, Nuevo Leon, Mexico
| | - Estefania Villarreal-Garza
- Departamento de Neurologia, Hospital Universitario Dr. Jose Eleuterio Gonzalez Universidad Autonoma de Nuevo León, Monterrey, Nuevo Leon, Mexico
| | - Mario Campos-Coy
- Unidad de Neuromodulacion y Plasticidad Cerebral, Centro de Investigacion y Desarrollo en Ciencias de la Salud, Universidad Autonoma de Nuevo Leon, Monterrey, Nuevo Leon, Mexico; Departamento de Imagen Diagnostica, Universidad Autonoma de Nuevo Leon, Monterrey, Nuevo Leon, Mexico
| | - Guillermo Elizondo-Riojas
- Unidad de Neuromodulacion y Plasticidad Cerebral, Centro de Investigacion y Desarrollo en Ciencias de la Salud, Universidad Autonoma de Nuevo Leon, Monterrey, Nuevo Leon, Mexico; Departamento de Imagen Diagnostica, Universidad Autonoma de Nuevo Leon, Monterrey, Nuevo Leon, Mexico
| | - Fernando Gongora-Rivera
- Departamento de Neurologia, Hospital Universitario Dr. Jose Eleuterio Gonzalez Universidad Autonoma de Nuevo León, Monterrey, Nuevo Leon, Mexico; Unidad de Neuromodulacion y Plasticidad Cerebral, Centro de Investigacion y Desarrollo en Ciencias de la Salud, Universidad Autonoma de Nuevo Leon, Monterrey, Nuevo Leon, Mexico
| | - Eduardo A Garza-Villarreal
- Instituto de Neurobiologia, Universidad Nacional Autonoma de Mexico, Juriquilla, Queretaro, Mexico; Departamento de Neurologia, Hospital Universitario Dr. Jose Eleuterio Gonzalez Universidad Autonoma de Nuevo León, Monterrey, Nuevo Leon, Mexico
| | - Juan Fernandez-Ruiz
- Laboratorio de Neuropsicologia, Departamento de Fisiologia, Facultad de Medicina, Universidad Nacional Autonoma de Mexico, Ciudad de Mexico, Mexico; Facultad de Psicologia, Universidad Veracruzana, Xalapa, Veracruz, Mexico.
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Moore MJ, Byrne J, Gibson EC, Ford L, Robinson GA. Hayling and stroop tests tap dissociable deficits and network-level neural correlates. Brain Struct Funct 2024; 229:879-896. [PMID: 38478051 PMCID: PMC11004053 DOI: 10.1007/s00429-024-02767-7] [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: 03/06/2023] [Accepted: 01/24/2024] [Indexed: 04/10/2024]
Abstract
Although many executive function screens have been developed, it is not yet clear whether these assessments are equally effective in detecting post-stroke deficits of initiation and inhibition. This study presents a comparative analysis of the Stroop and Hayling tests aiming to evaluate whether these tests measure the same underlying cognitive functions and to identify the neural correlates of the deficits detected by both tasks. Sixty six stroke survivors and 70 healthy ageing controls completed the Hayling and Stroop tests. Stroke patients were found to exhibit qualitative performance differences across analogous Stroop and Hayling Test metrics intended to tap initiation and inhibition. The Stroop test was found to have high specificity to abnormal performance, but low sensitivity relative to the Hayling Test. Minimal overlap was present between the network-level correlates of analogous Stroop and Hayling Test metrics. Hayling Task strategy use metrics were significantly associated with distinct patterns of disconnection in stroke survivors, providing novel insight into the neural correlates of fine-grained behavioural patterns. Overall, these findings strongly suggest that the functions tapped by the Stroop and Hayling Test are both behaviourally and anatomically dissociable. The Hayling Test was found to offer improved sensitivity and detail relative to the Stroop test. This novel demonstration of the Hayling Test within the stroke population suggests that this task represents an effective measure for quantifying post-stroke initiation and inhibition deficits.
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Affiliation(s)
- Margaret Jane Moore
- Queensland Brain Institute, The University of Queensland, St Lucia, Brisbane, Australia
| | - Jessica Byrne
- Neuropsychology Research Unit, School of Psychology, The University of Queensland, St Lucia, Brisbane, QLD, 4072, Australia
| | - Emily C Gibson
- Neuropsychology Research Unit, School of Psychology, The University of Queensland, St Lucia, Brisbane, QLD, 4072, Australia
| | - Lucy Ford
- Queensland Brain Institute, The University of Queensland, St Lucia, Brisbane, Australia
- Neuropsychology Research Unit, School of Psychology, The University of Queensland, St Lucia, Brisbane, QLD, 4072, Australia
| | - Gail A Robinson
- Queensland Brain Institute, The University of Queensland, St Lucia, Brisbane, Australia.
- Neuropsychology Research Unit, School of Psychology, The University of Queensland, St Lucia, Brisbane, QLD, 4072, Australia.
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Hobden G, Colbourne E, Pendlebury ST, Demeyere N. Reliability of the global cortical atrophy visual rating scale applied to computed tomography versus magnetic resonance imaging scans in acute stroke. Neurol Sci 2024; 45:1549-1556. [PMID: 37910322 PMCID: PMC10942897 DOI: 10.1007/s10072-023-07113-z] [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: 10/17/2022] [Accepted: 10/01/2023] [Indexed: 11/03/2023]
Abstract
INTRODUCTION Research using magnetic resonance imaging (MRI) suggests regional cerebral atrophy measures (e.g., frontal lobe, temporal lobe) may predict post-stroke outcomes. Clinical CT scans have excellent potential for use in research but it is unclear whether regional atrophy measures from CT are reliable compared to MRI reference standards. METHODS We used the Global Cortical Atrophy (GCA) scale to investigate reliability of atrophy measures on CT versus MRI scans from stroke patients originally recruited to the Oxford Cognitive Screening programme. Two raters provided standardised visual ratings at two timepoints. Weighted Kappa statistics assessed the reliability of regional atrophy scores. Spearman's correlation and a two-way repeated measures ANOVA assessed the reliability of the total score. RESULTS On clinically acquired neuroimaging from 98 stroke patients (mean/SD age = 70.97/11.99, 42 female, 84 ischaemic stroke), regional GCA scores on CT versus MRI showed fair to almost perfect intra-rater agreement (κ = .50-.87), substantial to almost perfect intra-rater agreement on CT (κ = .67-.88), and moderate to almost perfect intra-rater reliability on MRI (κ = .50-.89). Regional GCA scores showed mostly moderate to substantial inter-rater reliability on both CT and MRI (κ = .43-.69), except the temporal horns and parieto-occipital region. There was a strong correlation between total GCA scores on CT and MRI (r (96) = .87-.88, p < .001). CONCLUSIONS These results support the use of cerebral atrophy measures from CT in clinical research, as visual ratings showed generally good agreement between CT and MRI, between raters, and between timepoints.
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Affiliation(s)
- Georgina Hobden
- Department of Experimental Psychology, University of Oxford, Oxford, UK.
| | - Emma Colbourne
- Nuffield Department of Clinical Neurosciences, Wolfson Centre for Prevention of Stroke and Dementia, University of Oxford, Oxford, UK
- Departments of General (Internal) Medicine and Geratology, NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
| | - Sarah T Pendlebury
- Nuffield Department of Clinical Neurosciences, Wolfson Centre for Prevention of Stroke and Dementia, University of Oxford, Oxford, UK
- Departments of General (Internal) Medicine and Geratology, NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
| | - Nele Demeyere
- Department of Experimental Psychology, University of Oxford, Oxford, UK
- Nuffield Department of Clinical Neurosciences, Wolfson Centre for Prevention of Stroke and Dementia, University of Oxford, Oxford, UK
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Milosevich ET, Moore MJ, Pendlebury ST, Demeyere N. Domain-specific cognitive impairment 6 months after stroke: The value of early cognitive screening. Int J Stroke 2024; 19:331-341. [PMID: 37749759 PMCID: PMC10903146 DOI: 10.1177/17474930231205787] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 09/12/2023] [Indexed: 09/27/2023]
Abstract
BACKGROUND Cognitive screening following stroke is widely recommended, yet few studies have considered the prognostic value of acute domain-specific function for longer-term cognitive outcome. Identifying which post-stroke cognitive impairments more commonly occur, recover, and persist, and which impairments hold prognostic value, could inform care planning, and resource allocation. AIMS This study aimed to determine the prevalence of domain-specific impairment acutely and at 6 months, assess the proportion of change in cognitive performance, and examine the prognostic value of acute domain-specific cognitive screening. METHODS A prospective stroke cohort completed the Oxford Cognitive Screen acutely (⩽2 weeks) and 6 months post-stroke. We determined the prevalence of acute and 6-month domain-specific impairment and proportion of change in performance from acute to 6 months. Hierarchical multivariable regression was used to predict global and domain-specific cognitive impairment at 6 months adjusted for demographic/vascular factors, stroke severity, and lesion volume. RESULTS A total of 430 stroke survivors (mean/SD age 73.9/12.5 years, 46.5% female, median/interquartile range (IQR) National Institute of Health Stroke Scale (NIHSS) 5/2-10) completed 6-month follow-up. Acutely, domain-specific impairments were highly prevalent ranging from 26.7% (n = 112) in praxis to 46.8% (n = 183) in attention. At 6 months, the proportion of domain-specific recovery was highest in praxis (n = 73, 71%) and lowest in language (n = 89, 46%) and memory (n = 82, 48%). Severity of 6-month cognitive impairment was best predicted by the addition of acute cognitive impairment (adj R2 = 0.298, p < 0.0001) over demographic and clinical factors alone (adj R2 = 0.105, p < 0.0001). Acute cognitive function was the strongest predictor of 6-month cognitive performance (p < 0.0001). Acute domain-specific impairments in memory (p < 0.0001), language (p < 0.0001), and praxis (p < 0.0001) significantly predicted overall severity of cognitive impairment at 6 months. CONCLUSION Post-stroke cognitive impairment is highly prevalent across all domains acutely, while impairments in language, memory, and attention predominate at 6 months. Early domain-specific screening can provide valuable prognostic information for longer-term cognitive outcomes.
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Affiliation(s)
- Elise T Milosevich
- Department of Experimental Psychology, Radcliffe Observatory Quarter, University of Oxford, Oxford, UK
| | - Margaret J Moore
- Department of Experimental Psychology, Radcliffe Observatory Quarter, University of Oxford, Oxford, UK
- Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia
| | - Sarah T Pendlebury
- Wolfson Centre for Prevention of Stroke and Dementia, Wolfson Building, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre and Departments of General Medicine and Geratology, John Radcliffe Hospital, Oxford, UK
| | - Nele Demeyere
- Department of Experimental Psychology, Radcliffe Observatory Quarter, University of Oxford, Oxford, UK
- Wolfson Centre for Prevention of Stroke and Dementia, Wolfson Building, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
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Cho E, Choi S, Demeyere N, Hwang SSS, Kim M. The Korean Version of the Oxford Cognitive Screen (K-OCS) Normative Study. Ann Rehabil Med 2024; 48:22-30. [PMID: 38433006 PMCID: PMC10915309 DOI: 10.5535/arm.23149] [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: 10/12/2023] [Revised: 12/14/2023] [Accepted: 01/04/2024] [Indexed: 03/05/2024] Open
Abstract
OBJECTIVE To generate a Korean version of the Oxford Cognitive Screen (K-OCS) and obtain cutoff scores that determine the impairment of each subdomain. Post-stroke cognitive impairment (PSCI) negatively impacts the rehabilitation process and independence in daily life. Its obscure manifestations require effective screening for appropriate rehabilitation. However, in most rehabilitation clinics, psychological evaluation tools for Alzheimer's dementia have been used without such considerations. The OCS is a screening assessment tool for PSCI and vascular dementia that can evaluate the cognitive domains most often affected by stroke, including language, attention, memory, praxis, and numerical cognition. It comprises 10 subtasks and enables quick and effective cognitive evaluation. METHODS The K-OCS, which considers Korea's unique cultural and linguistic characteristics, was developed with the approval and cooperation of the original author. Enrollment of participants without disabilities was announced at Duksung Women's University, Yongin Sevrance Hospital, CHA Bundang Medical Center. The study was conducted between September 2020 and March 2022 on 97 male and female participants aged ≥30 years. RESULTS All the 97 participants completed the task. In this study, the 5th percentile score was presumed to be the cutoff value for each score, and the values are provided here. The cutoff score for each OCS subtask was similar to that of the original British version. CONCLUSION We suggest the usability of the K-OCS as a screening tool for PSCI by providing the cutoff value of each subtask.
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Affiliation(s)
- Eunyoung Cho
- Department of Rehabilitation Medicine, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea
| | - Sungwon Choi
- Department of Psychology, Duksung Women’s University, Seoul, Korea
| | - Nele Demeyere
- Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Sean Soon Sung Hwang
- Department of Rehabilitation Medicine, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea
| | - MinYoung Kim
- Department of Rehabilitation Medicine, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea
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Moore MJ, Demeyere N, Rorden C, Mattingley JB. Lesion mapping in neuropsychological research: A practical and conceptual guide. Cortex 2024; 170:38-52. [PMID: 37940465 DOI: 10.1016/j.cortex.2023.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Revised: 10/10/2023] [Accepted: 10/10/2023] [Indexed: 11/10/2023]
Affiliation(s)
- Margaret J Moore
- Queensland Brain Institute, The University of Queensland, St. Lucia, Australia.
| | - Nele Demeyere
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Chris Rorden
- Department of Psychology, University of South Carolina, Colombia, SC, USA
| | - Jason B Mattingley
- Queensland Brain Institute, The University of Queensland, St. Lucia, Australia; School of Psychology, The University of Queensland, St. Lucia, Australia
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Moore MJ, Hearne L, Demeyere N, Mattingley JB. Comprehensive voxel-wise, tract-based, and network lesion mapping reveals unique architectures of right and left visuospatial neglect. Brain Struct Funct 2023; 228:2067-2087. [PMID: 37697138 PMCID: PMC10587018 DOI: 10.1007/s00429-023-02702-2] [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: 04/28/2023] [Accepted: 08/27/2023] [Indexed: 09/13/2023]
Abstract
Visuospatial neglect is a common, post-stroke cognitive impairment which is widely considered to be a disconnection syndrome. However, the patterns of disconnectivity associated with visuospatial neglect remain unclear. Here, we had 480 acute stroke survivors [age = 72.8 (SD = 13.3), 44.3% female, 7.5 days post-stroke (SD = 11.3)] undertake routine clinical imaging and standardised visuospatial neglect testing. The data were used to conduct voxel-wise, tract-level, and network-level lesion-mapping analyses aimed at localising the neural correlates of left and right egocentric (body-centred) and allocentric (object-centred) visuospatial neglect. Only minimal anatomical homogeneity was present between the correlates of right and left egocentric neglect across all analysis types. This finding challenges previous work suggesting that right and left visuospatial neglect are anatomically homologous, and instead suggests that egocentric neglect may involve damage to a shared, but hemispherically asymmetric attention network. By contrast, egocentric and allocentric neglect was associated with disconnectivity in a distinct but overlapping set of network edges, with both deficits related to damage across the dorsal and ventral attention networks. Critically, this finding suggests that the distinction between egocentric and allocentric neglect is unlikely to reflect a simple dichotomy between dorsal versus ventral networks dysfunction, as is commonly asserted. Taken together, the current findings provide a fresh perspective on the neural circuitry involved in regulating visuospatial attention, and provide important clues to understanding the cognitive and perceptual processes involved in this common and debilitating neuropsychological syndrome.
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Affiliation(s)
- Margaret Jane Moore
- Queensland Brain Institute, University of Queensland, St. Lucia, QLD, 4072, Australia.
| | - Luke Hearne
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Nele Demeyere
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | - Jason B Mattingley
- Queensland Brain Institute, University of Queensland, St. Lucia, QLD, 4072, Australia
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Hobden G, Moore MJ, Colbourne E, Pendlebury ST, Demeyere N. Association of Neuroimaging Markers on Clinical CT Scans With Domain-Specific Cognitive Impairment in the Early and Later Poststroke Stages. Neurology 2023; 101:e1687-e1696. [PMID: 37657938 PMCID: PMC10624481 DOI: 10.1212/wnl.0000000000207756] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 06/23/2023] [Indexed: 09/03/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Poststroke cognitive impairment (PSCI) is associated with neuroimaging markers, including cortical atrophy and white matter lesions (WMLs), on clinically acquired CT neuroimaging. The objective was to investigate the association between cortical atrophy/WMLs and PSCI in specific cognitive domains in the acute/subacute and chronic stages after stroke, to provide clarity on the relationship between these neuroimaging markers and the temporal evolution of PSCI. METHODS We visually assessed cortical atrophy using the Global Cortical Atrophy (GCA) scale and WMLs using the Fazekas scale. Oxford Cognitive Screen or Birmingham Cognitive Screen assessed PSCI at 2 time points (acute/subacute and chronic) in 6 domains (language, memory, number processing, executive function, attention, and praxis). We binarized domain-specific performance as impaired/unimpaired using normative cutoffs. Multivariable linear and logistic regression analyses evaluated associations between GCA/Fazekas scores with acute/subacute and chronic global and domain-specific PSCI, and ANCOVAs examined whether these scores were significantly different in patients with recovered vs persistent PSCI. Age, sex, education, NIHSS, lesion volume, and recurrent stroke were covariates in these analyses. RESULTS Among 411 stroke patients (Mdn/IQR age = 76.16/66.84-83.47; 193 female; 346 ischemic stroke; 107 recurrent stroke), GCA and Fazekas scores were not associated with global cognitive impairment in the acute/subacute stage after stroke, but GCA score was associated with chronic global PSCI (B = 0.01, p < 0.001, 95% CI 0.00-0.01). In domain-specific analyses, GCA score was associated with chronic impairment in the memory (B = 0.06, p < 0.001, 95% CI 0.03-0.10) and attention (B = 0.05, p = 0.003, 95% CI 0.02-0.09) domains, and in patients with persistent PSCI, these domains showed significantly higher GCA scores than patients who had recovered (memory: F(1, 157) = 6.63, p = 0.01, η 2 G = 0.04; attention: F(1, 268) = 10.66, p = 0.001, η 2 G = 0.04). DISCUSSION This study highlights the potential effect of cortical atrophy on the cognitive recovery process after stroke and demonstrates the prognostic utility of CT neuroimaging for poststroke cognitive outcomes. Clinical neuroimaging could help identify patients at long-term risk of PSCI during acute hospitalization.
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Affiliation(s)
- Georgina Hobden
- From the Department of Experimental Psychology (G.H., N.D.), University of Oxford, United Kingdom; Queensland Brain Institute (M.J.M.), University of Queensland, Australia; Nuffield Department of Clinical Neurosciences (E.C., S.T.P., N.D.), University of Oxford; and NIHR Oxford Biomedical Research Centre and Departments of General (Internal) Medicine and Geratology (S.T.P.), John Radcliffe Hospital, Oxford, United Kingdom
| | - Margaret J Moore
- From the Department of Experimental Psychology (G.H., N.D.), University of Oxford, United Kingdom; Queensland Brain Institute (M.J.M.), University of Queensland, Australia; Nuffield Department of Clinical Neurosciences (E.C., S.T.P., N.D.), University of Oxford; and NIHR Oxford Biomedical Research Centre and Departments of General (Internal) Medicine and Geratology (S.T.P.), John Radcliffe Hospital, Oxford, United Kingdom
| | - Emma Colbourne
- From the Department of Experimental Psychology (G.H., N.D.), University of Oxford, United Kingdom; Queensland Brain Institute (M.J.M.), University of Queensland, Australia; Nuffield Department of Clinical Neurosciences (E.C., S.T.P., N.D.), University of Oxford; and NIHR Oxford Biomedical Research Centre and Departments of General (Internal) Medicine and Geratology (S.T.P.), John Radcliffe Hospital, Oxford, United Kingdom
| | - Sarah T Pendlebury
- From the Department of Experimental Psychology (G.H., N.D.), University of Oxford, United Kingdom; Queensland Brain Institute (M.J.M.), University of Queensland, Australia; Nuffield Department of Clinical Neurosciences (E.C., S.T.P., N.D.), University of Oxford; and NIHR Oxford Biomedical Research Centre and Departments of General (Internal) Medicine and Geratology (S.T.P.), John Radcliffe Hospital, Oxford, United Kingdom
| | - Nele Demeyere
- From the Department of Experimental Psychology (G.H., N.D.), University of Oxford, United Kingdom; Queensland Brain Institute (M.J.M.), University of Queensland, Australia; Nuffield Department of Clinical Neurosciences (E.C., S.T.P., N.D.), University of Oxford; and NIHR Oxford Biomedical Research Centre and Departments of General (Internal) Medicine and Geratology (S.T.P.), John Radcliffe Hospital, Oxford, United Kingdom.
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13
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Benn Y, Jayes M, Casassus M, Williams M, Jenkinson C, McGowan E, Conroy P. A qualitative study into the experience of living with acalculia after stroke and other forms of acquired brain injury. Neuropsychol Rehabil 2023; 33:1512-1536. [PMID: 35959752 DOI: 10.1080/09602011.2022.2108065] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 07/26/2022] [Indexed: 10/15/2022]
Abstract
Acalculia, an acquired disability following a brain injury, involves difficulty processing numerical information and/or calculations. Acalculia is not routinely screened for, and as a result there is a lack of understanding about the nature and prevalence and the impact of the condition. This qualitative study was initiated by stroke survivors with a strong interest in acalculia. Sixteen stroke/brain injury survivors with acalculia and seven carers were interviewed using semi-structured online interviews. Participants ranged in age, gender, time post-onset, country of residence and numeracy level prior to brain injury. Data were analysed using thematic analysis. Three main themes were identified: Awareness and Diagnosis; Emotional and Practical Impact (independence); Support, Coping Strategies and Self-training. Participants and carers repeatedly referred to the lack of awareness and treatment for acalculia and the impact acalculia has had on their lives and independence. Practical impacts included managing money, making appointments, using timetables, organizing social activities and employment, and managing medication. Our results highlight the urgent need to develop suitable assessments and interventions for acalculia and the scope for this to be Patient, Carer and Public involvement (PCPI)-led. The data also reveal useful strategies and suggestions regarding effective timing, targets and approaches for intervention.
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Affiliation(s)
- Yael Benn
- Department of Psychology, Manchester Metropolitan University, Manchester, UK
| | - Mark Jayes
- Department of Health Professions, Manchester Metropolitan University, Manchester, UK
- Honorary Research Fellow, School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Martin Casassus
- Department of Psychology, Manchester Metropolitan University, Manchester, UK
- Universidad Autónoma de Chile, Providencia, Región Metropolitana, Chile
| | | | | | - Ellen McGowan
- Pennine Care NHS Foundation Trust, Greater Manchester and Derbyshire, UK
| | - Paul Conroy
- School of Health Sciences, University of Manchester, Manchester, UK
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14
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Murphy D, Cornford E, Higginson A, Norman A, Long R, Noad R. Oxford cognitive screen: A critical review and independent psychometric evaluation. J Neuropsychol 2023; 17:491-504. [PMID: 37186035 DOI: 10.1111/jnp.12318] [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: 01/17/2023] [Accepted: 04/03/2023] [Indexed: 05/17/2023]
Abstract
The Oxford cognitive screen (OCS) is a stroke-specific cognitive screening assessment. Although the test developers have provided psychometric information for the assessment, the OCS has received minimal external scrutiny, with which to triangulate the underpinning psychometrics. The purpose of this study is to provide a critical review and independent validation of the OCS. This study analysed data from an anonymised clinical database, which consisted of 316 patients who were assessed using the OCS on an Acute Stroke Unit. The rates of impairment on tests of memory and receptive communication were lower than expectation, suggesting that these subtests may be relatively insensitive. Patients with aphasia were more likely to be unable to categorised as impaired on non-language tests, suggesting that they remain sensitive to language processing or non-dominant hand usage. Some of the subtests of the OCS achieve high retest reliability, which makes them good candidates for measuring cognitive change over time. Although the OCS has many advantages, it is also important to adequately consider its limitations, that is insensitivity to memory problems, the potential confounding impact of non-dominant hand usage, and the potential that some tests may sample overall cognitive ability instead of domain-specific functioning.
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Affiliation(s)
- Donnchadh Murphy
- University of Plymouth, Plymouth, UK
- Livewell Southwest, Plymouth, UK
| | | | | | | | - Rebecca Long
- University Hospitals Plymouth NHS Trust, Plymouth, UK
| | - Rupert Noad
- University of Plymouth, Plymouth, UK
- University Hospitals Plymouth NHS Trust, Plymouth, UK
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15
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Zhao X, Dai S, Zhang R, Chen X, Zhao M, Bergeron MF, Zhou X, Zhang J, Zhong L, Ashford JW, Liu X. Using MemTrax memory test to screen for post-stroke cognitive impairment after ischemic stroke: a cross-sectional study. Front Hum Neurosci 2023; 17:1195220. [PMID: 37529406 PMCID: PMC10387538 DOI: 10.3389/fnhum.2023.1195220] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 06/28/2023] [Indexed: 08/03/2023] Open
Abstract
Background Whereas the Montreal Cognitive Assessment (MoCA) and Addenbrooke's cognitive examination-revised (ACE-R) are commonly used tests for the detection of post-stroke cognitive impairment (PSCI), these instruments take 10-30 min to administer and do not assess processing speed, which is a critical impairment in PSCI. MemTrax (MTx) is a continuous recognition test, which evaluates complex information processing, accuracy, speed, and attention, in 2 min. Aim To evaluate whether MTx is an effective and practical tool for PSCI assessment. Methods This study enrolled acute ischemic stroke (AIS) patients who have assessed the cognitive status including MTx, clinical dementia rating (CDR), MoCA, Neuropsychiatric Inventory (NPI), Hamilton depression scale (HAMD), Hamilton anxiety scale (HAMA), the National Institute of Health Stroke Scale (NIHSS), modified Rankin scale (mRS), and Barthel Index of activity of daily living (BI) combined with the physical examinations of the neurologic system at the 90-day (D90) after the AIS. The primary endpoint of this study was establishing MTx cut-offs for distinguishing PSCI from AIS. Results Of the 104 participants, 60 were classified to the PSCI group. The optimized cut-off value of MTx-%C (percent correct) was 78%, with a sensitivity and specificity for detecting PSCI from Non-PSCI of 90.0 and 84.1%, respectively, and an AUC of 0.919. Regarding the MTx-Cp (Composite score = MTx-%C/MTx-RT), using 46.3 as a cut-off value, the sensitivity and specificity for detecting PSCI from Non-PSCI were 80.0 and 93.2%, with an AUC of 0.925. Multivariate linear regression showed that PSCI reduced the MTx-%C (Coef. -14.18, 95% CI -18.41∼-9.95, p < 0.001) and prolonged the MTx-RT (response time) (Coef. 0.29, 95% CI 0.16∼0.43, p < 0.001) and reduced the MTx-CP (Coef. -19.11, 95% CI -24.29∼-13.93, p < 0.001). Conclusion MemTrax (MTx) is valid and effective for screening for PSCI among target patients and is a potentially valuable and practical tool in the clinical follow-up, monitoring, and case management of PSCI.
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Affiliation(s)
- Xiaoxiao Zhao
- Department of Neurology, The First Affiliated Hospital of Kunming Medical University, Kunming, China
- Yunnan Province Clinical Research Center for Neurological Disease, Kunming, China
| | - Shujuan Dai
- Department of Neurology, The First Affiliated Hospital of Kunming Medical University, Kunming, China
- Yunnan Province Clinical Research Center for Neurological Disease, Kunming, China
| | - Rong Zhang
- Department of Neurology, Kunming Second People’s Hospital, Kunming, Yunnan, China
| | - Xinjie Chen
- Department of Neurology, The First Affiliated Hospital of Dali University, Dali, China
| | - Mingjie Zhao
- Department of Neurology, The First Affiliated Hospital of Kunming Medical University, Kunming, China
- Yunnan Province Clinical Research Center for Neurological Disease, Kunming, China
| | - Michael F. Bergeron
- Department of Health Sciences, University of Hartford, West Hartford, CT, United States
| | - Xianbo Zhou
- Zhongze Therapeutics, Shanghai, China
- Center for Alzheimer’s Research, Washington Institute of Clinical Research, Vienna, VA, United States
| | - Junyan Zhang
- Department of Clinical Epidemiology and Evidence-based Medicine, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Taiyuan, China
- Bothwin Clinical Study Consultant, Shanghai, China
| | - Lianmei Zhong
- Department of Neurology, The First Affiliated Hospital of Kunming Medical University, Kunming, China
- Yunnan Province Clinical Research Center for Neurological Disease, Kunming, China
| | - J. Wesson Ashford
- War Related Illness and Injury Study Center, VA Palo Alto Health Care System (HCS), Palo Alto, CA, United States
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, United States
| | - Xiaolei Liu
- Department of Neurology, The First Affiliated Hospital of Kunming Medical University, Kunming, China
- Yunnan Province Clinical Research Center for Neurological Disease, Kunming, China
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16
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Moore MJ, Jenkinson M, Griffanti L, Huygelier H, Gillebert CR, Demeyere N. A comparison of lesion mapping analyses based on CT versus MR imaging in stroke. Neuropsychologia 2023; 184:108564. [PMID: 37068585 PMCID: PMC10933788 DOI: 10.1016/j.neuropsychologia.2023.108564] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 04/12/2023] [Accepted: 04/14/2023] [Indexed: 04/19/2023]
Abstract
It is commonly asserted that MRI-derived lesion masks outperform CT-derived lesion masks in lesion-mapping analysis. However, no quantitative analysis has been conducted to support or refute this claim. This study reports an objective comparison of lesion-mapping analyses based on CT- and MRI-derived lesion masks to clarify how input imaging type may ultimately impact analysis results. Routine CT and MRI data were collected from 85 acute stroke survivors. These data were employed to create binarized lesion masks and conduct lesion-mapping analyses on simulated behavioral data. Following standard lesion-mapping analysis methodology, each voxel or region of interest (ROI) were considered as the underlying "target" within CT and MRI data independently. The resulting thresholded z-maps were compared between matched CT- and MRI-based analyses. Paired MRI- and CT-derived lesion masks were found to exhibit significant variance in location, overlap, and size. In ROI-level simulations, both CT and MRI-derived analyses yielded low Dice similarity coefficients, but CT analyses yielded a significantly higher proportion of results which overlapped with target ROIs. In single-voxel simulations, MRI-based lesion mapping was able to include more voxels than CT-based analyses, but CT-based analysis results were closer to the underlying target voxel. Simulated lesion-symptom mapping results yielded by paired CT and MRI lesion-symptom mapping analyses demonstrated moderate agreement in terms of Dice coefficient when systematic differences in cluster size and lesion overlay are considered. Overall, these results suggest that CT and MR-derived lesion-symptom mapping results do not reliably differ in accuracy. This finding is critically important as it suggests that future studies can employ CT-derived lesion masks if these scans are available within the appropriate time-window.
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Affiliation(s)
- Margaret J Moore
- Queensland Brain Institute, University of Queensland, Brisbane, Australia; Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom
| | - Mark Jenkinson
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional MRI of the Brain, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom; Australian Institute for Machine Learning, University of Adelaide, Adelaide, Australia
| | - Ludovica Griffanti
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional MRI of the Brain, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom; Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Human Brain Activity, Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | | | | | - Nele Demeyere
- Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom.
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17
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Moore MJ, Milosevich E, Mattingley JB, Demeyere N. The neuroanatomy of visuospatial neglect: A systematic review and analysis of lesion-mapping methodology. Neuropsychologia 2023; 180:108470. [PMID: 36621594 DOI: 10.1016/j.neuropsychologia.2023.108470] [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: 09/28/2022] [Revised: 12/20/2022] [Accepted: 01/04/2023] [Indexed: 01/07/2023]
Abstract
While visuospatial neglect is commonly associated with damage to the right posterior parietal cortex, neglect is an anatomically heterogenous syndrome. This project presents a systematic review of 34 lesion-mapping studies reporting on the anatomical correlates of neglect. Specifically, the reported correlates of egocentric versus allocentric, acute versus chronic, personal versus extra-personal, and left versus right hemisphere neglect are summarised. The quality of each included lesion-mapping analysis was then evaluated to identify methodological factors which may help account for the reported variance in correlates of neglect. Overall, the existing literature strongly suggests that egocentric and allocentric neglect represent anatomically dissociable conditions and that the anatomy of these conditions may not be entirely homologous across hemispheres. Studies which have compared the anatomy of acute versus chronic neglect have found that these conditions are associated with distinct lesion loci, while studies comparing the correlates of peripersonal/extrapersonal neglect are split as to whether these neglect subtypes are anatomically dissociable. The included studies employed a wide range of lesion-mapping analysis techniques, each producing results of varying quality and generalisability. This review concludes that the reported underlying anatomical correlates of heterogeneous visuospatial neglect vary considerably. Future, high quality studies are needed to investigate patterns of disconnection associated with clearly defined forms of visuospatial neglect in large and representative samples.
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Affiliation(s)
- Margaret Jane Moore
- Queensland Brain Institute, The University of Queensland, St Lucia, Australia.
| | - Elise Milosevich
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | - Jason B Mattingley
- Queensland Brain Institute, The University of Queensland, St Lucia, Australia; School of Psychology, The University of Queensland, St Lucia, Australia
| | - Nele Demeyere
- Department of Experimental Psychology, University of Oxford, Oxford, UK
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18
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Fernández A, Ramírez-Toraño F, Bruña R, Zuluaga P, Esteba-Castillo S, Abásolo D, Moldenhauer F, Shumbayawonda E, Maestú F, García-Alba J. Brain signal complexity in adults with Down syndrome: Potential application in the detection of mild cognitive impairment. Front Aging Neurosci 2022; 14:988540. [PMID: 36337705 PMCID: PMC9631477 DOI: 10.3389/fnagi.2022.988540] [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: 07/07/2022] [Accepted: 09/27/2022] [Indexed: 11/13/2022] Open
Abstract
Background Down syndrome (DS) is considered the most frequent cause of early-onset Alzheimer’s disease (AD), and the typical pathophysiological signs are present in almost all individuals with DS by the age of 40. Despite of this evidence, the investigation on the pre-dementia stages in DS is scarce. In the present study we analyzed the complexity of brain oscillatory patterns and neuropsychological performance for the characterization of mild cognitive impairment (MCI) in DS. Materials and methods Lempel-Ziv complexity (LZC) values from resting-state magnetoencephalography recordings and the neuropsychological performance in 28 patients with DS [control DS group (CN-DS) (n = 14), MCI group (MCI-DS) (n = 14)] and 14 individuals with typical neurodevelopment (CN-no-DS) were analyzed. Results Lempel-Ziv complexity was lowest in the frontal region within the MCI-DS group, while the CN-DS group showed reduced values in parietal areas when compared with the CN-no-DS group. Also, the CN-no-DS group exhibited the expected pattern of significant increase of LZC as a function of age, while MCI-DS cases showed a decrease. The combination of reduced LZC values and a divergent trajectory of complexity evolution with age, allowed the discrimination of CN-DS vs. MCI-DS patients with a 92.9% of sensitivity and 85.7% of specificity. Finally, a pattern of mnestic and praxic impairment was significantly associated in MCI-DS cases with the significant reduction of LZC values in frontal and parietal regions (p = 0.01). Conclusion Brain signal complexity measured with LZC is reduced in DS and its development with age is also disrupted. The combination of both features might assist in the detection of MCI within this population.
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Affiliation(s)
- Alberto Fernández
- Department of Legal Medicine, Psychiatry and Pathology, Universidad Complutense de Madrid, Madrid, Spain
- Institute of Sanitary Investigation (IdISSC), Hospital Universitario San Carlos, Madrid, Spain
- Center for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, Spain
| | - Federico Ramírez-Toraño
- Center for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, Spain
- Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid, Madrid, Spain
| | - Ricardo Bruña
- Center for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, Spain
- Department of Radiology, Universidad Complutense de Madrid, Madrid, Spain
- Department of Industrial Engineering & IUNE & ITB, Universidad de La Laguna, San Cristóbal de La Laguna, Spain
| | - Pilar Zuluaga
- Statistics & Operations Research Department, Faculty of Medicine, Universidad Complutense de Madrid, Madrid, Spain
| | - Susanna Esteba-Castillo
- Neurodevelopmental Group, Girona Biomedical Research Institute-IDIBGI, Institute of Health Assistance (IAS), Parc Hospitalari Martí i Julià, Girona, Spain
| | - Daniel Abásolo
- Centre for Biomedical Engineering, School of Mechanical Engineering Sciences, University of Surrey, Guildford, United Kingdom
| | - Fernando Moldenhauer
- Adult Down Syndrome Unit, Internal Medicine Department, Health Research Institute, Hospital Universitario de La Princesa, Madrid, Spain
| | - Elizabeth Shumbayawonda
- Centre for Biomedical Engineering, School of Mechanical Engineering Sciences, University of Surrey, Guildford, United Kingdom
| | - Fernando Maestú
- Center for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, Madrid, Spain
- Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid, Madrid, Spain
| | - Javier García-Alba
- Department of Research and Psychology in Education, Universidad Complutense de Madrid, Madrid, Spain
- *Correspondence: Javier García-Alba,
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19
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Rost NS, Brodtmann A, Pase MP, van Veluw SJ, Biffi A, Duering M, Hinman JD, Dichgans M. Post-Stroke Cognitive Impairment and Dementia. Circ Res 2022; 130:1252-1271. [PMID: 35420911 DOI: 10.1161/circresaha.122.319951] [Citation(s) in RCA: 254] [Impact Index Per Article: 127.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Poststroke cognitive impairment and dementia (PSCID) is a major source of morbidity and mortality after stroke worldwide. PSCID occurs as a consequence of ischemic stroke, intracerebral hemorrhage, or subarachnoid hemorrhage. Cognitive impairment and dementia manifesting after a clinical stroke is categorized as vascular even in people with comorbid neurodegenerative pathology, which is common in elderly individuals and can contribute to the clinical expression of PSCID. Manifestations of cerebral small vessel disease, such as covert brain infarcts, white matter lesions, microbleeds, and cortical microinfarcts, are also common in patients with stroke and likewise contribute to cognitive outcomes. Although studies of PSCID historically varied in the approach to timing and methods of diagnosis, most of them demonstrate that older age, lower educational status, socioeconomic disparities, premorbid cognitive or functional decline, life-course exposure to vascular risk factors, and a history of prior stroke increase risk of PSCID. Stroke characteristics, in particular stroke severity, lesion volume, lesion location, multiplicity and recurrence, also influence PSCID risk. Understanding the complex interaction between an acute stroke event and preexisting brain pathology remains a priority and will be critical for developing strategies for personalized prediction, prevention, targeted interventions, and rehabilitation. Current challenges in the field relate to a lack of harmonization of definition and classification of PSCID, timing of diagnosis, approaches to neurocognitive assessment, and duration of follow-up after stroke. However, evolving knowledge on pathophysiology, neuroimaging, and biomarkers offers potential for clinical applications and may inform clinical trials. Preventing stroke and PSCID remains a cornerstone of any strategy to achieve optimal brain health. We summarize recent developments in the field and discuss future directions closing with a call for action to systematically include cognitive outcome assessment into any clinical studies of poststroke outcome.
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Affiliation(s)
- Natalia S Rost
- J. Philip Kistler Stroke Research Center (N.S.R., S.J.v.V., A. Biffi), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Amy Brodtmann
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Australia (A. Brodtmann).,Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia (A. Brodtmann. M.P.P.)
| | - Matthew P Pase
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia (A. Brodtmann. M.P.P.).,Harvard T.H. Chan School of Public Health, Boston (M.P.P.)
| | - Susanne J van Veluw
- MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Charlestown (S.J.v.V.)
| | - Alessandro Biffi
- J. Philip Kistler Stroke Research Center (N.S.R., S.J.v.V., A. Biffi), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.,Divisions of Memory Disorders and Behavioral Neurology (A. Biffi), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Marco Duering
- J. Philip Kistler Stroke Research Center (N.S.R., S.J.v.V., A. Biffi), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.,Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany (M. Duering, M. Dichgans).,Medical Image Analysis Center and Department of Biomedical Engineering, University of Basel, Switzerland (M. Duering)
| | - Jason D Hinman
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles (J.D.H.).,Department of Neurology, West Los Angeles VA Medical Center, CA (J.D.H.)
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany (M. Duering, M. Dichgans).,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany (M. Dichgans).,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany (M. Dichgans)
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