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Hobden G, Tang EYH, Demeyere N. A qualitative study investigating the views of stroke survivors and their family members on discussing post-stroke cognitive trajectories. Neuropsychol Rehabil 2024:1-18. [PMID: 38367002 DOI: 10.1080/09602011.2024.2314882] [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: 07/28/2023] [Accepted: 01/16/2024] [Indexed: 02/19/2024]
Abstract
Cognitive impairment is common early after stroke but trajectories over the long term are variable. Some stroke survivors make a full recovery, while others retain a stable impairment or decline. This study explored the perceived advantages and disadvantages of discussing potential cognitive trajectories with stroke survivors and their family members. Stroke survivors at least six-months post-stroke were purposively sampled from an existing pool of research volunteers recruited originally for the OCS-Recovery study. They were invited, alongside a family member, to participate in a semi-structured interview. Interviews were audio recorded, transcribed, and analyzed using reflexive thematic analysis. Twenty-six stroke survivors and eleven family members participated. We identified one overarching theme and three related subthemes. The overarching theme was: One size does not fit all. The subthemes were: (1) Hearing about potential cognitive trajectories helps to develop realistic expectations; (2) Discussions about cognitive trajectories may be motivating; (3) Cognitive decline and post-stroke dementia discussions may be anxiety-provoking and depressing. Healthcare professionals should adopt a person-centred approach to sharing information about post-stroke cognitive trajectories. Discussions should be tailored to individual needs and preferences, with dementia-related topics in particular addressed with the utmost selectivity and sensitivity.
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Affiliation(s)
- Georgina Hobden
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | | | - Nele Demeyere
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
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2
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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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Kusec A, Milosevich E, Williams OA, Chiu EG, Watson P, Carrick C, Drozdowska BA, Dillon A, Jennings T, Anderson B, Dawes H, Thomas S, Kuppuswamy A, Pendlebury ST, Quinn TJ, Demeyere N. Long-term psychological outcomes following stroke: the OX-CHRONIC study. BMC Neurol 2023; 23:426. [PMID: 38036966 PMCID: PMC10688008 DOI: 10.1186/s12883-023-03463-5] [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: 05/19/2023] [Accepted: 11/10/2023] [Indexed: 12/02/2023] Open
Abstract
BACKGROUND Stroke survivors rate longer-term (> 2 years) psychological recovery as their top priority, but data on how frequently psychological consequences occur is lacking. Prevalence of cognitive impairment, depression/anxiety, fatigue, apathy and related psychological outcomes, and whether rates are stable in long-term stroke, is unknown. METHODS N = 105 long-term stroke survivors (M [SD] age = 72.92 [13.01]; M [SD] acute NIH Stroke Severity Score = 7.39 [6.25]; 59.0% Male; M [SD] years post-stroke = 4.57 [2.12]) were recruited (potential N = 208). Participants completed 3 remote assessments, including a comprehensive set of standardized cognitive neuropsychological tests comprising domains of memory, attention, language, and executive function, and questionnaires on emotional distress, fatigue, apathy and other psychological outcomes. Ninety participants were re-assessed one year later. Stability of outcomes was assessed by Cohen's d effect size estimates and percent Minimal Clinically Important Difference changes between time points. RESULTS On the Montreal Cognitive Assessment 65.3% scored < 26. On the Oxford Cognitive Screen 45.9% had at least one cognitive impairment. Attention (27.1%) and executive function (40%) were most frequently impaired. 23.5% and 22.5% had elevated depression/anxiety respectively. Fatigue (51.4%) and apathy (40.5%) rates remained high, comparable to estimates in the first-year post-stroke. Attention (d = -0.12; 85.8% stable) and depression (d = 0.09, 77.1% stable) were the most stable outcomes. Following alpha-adjustments, only perceptuomotor abilities (d = 0.69; 40.4% decline) and fatigue (d = -0.33; 45.3% decline) worsened over one year. Cognitive impairment, depression/anxiety, fatigue and apathy all correlated with worse quality of life. CONCLUSION Nearly half of participants > 2 years post-event exhibited psychological difficulties including domains of cognition, mood, and fatigue, which impact long-term quality of life. Stroke is a chronic condition with highly prevalent psychological needs, which require monitoring and intervention development.
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Affiliation(s)
- Andrea Kusec
- Department of Experimental Psychology, University of Oxford, Anna Watts Building, Radcliffe Observatory Quarter, Oxford, UK
| | - Elise Milosevich
- Department of Experimental Psychology, University of Oxford, Anna Watts Building, Radcliffe Observatory Quarter, Oxford, UK
| | - Owen A Williams
- Department of Experimental Psychology, University of Oxford, Anna Watts Building, Radcliffe Observatory Quarter, Oxford, UK
| | - Evangeline G Chiu
- Department of Experimental Psychology, University of Oxford, Anna Watts Building, Radcliffe Observatory Quarter, Oxford, UK
| | - Pippa Watson
- Department of Experimental Psychology, University of Oxford, Anna Watts Building, Radcliffe Observatory Quarter, Oxford, UK
| | - Chloe Carrick
- Department of Experimental Psychology, University of Oxford, Anna Watts Building, Radcliffe Observatory Quarter, Oxford, UK
| | - Bogna A Drozdowska
- School of Cardiovascular & Metabolic Health, University of Glasgow, Glasgow, UK
| | - Avril Dillon
- Department of Health and Life Sciences, Oxford Brookes University, Oxford, UK
| | | | - Bloo Anderson
- Patient and Public Involvement Representative, Oxford, UK
| | - Helen Dawes
- NIHR Exeter Biomedical Research Centre, University of Exeter, Medical School Building, St Luke's Campus, Magdalen Road, Exeter, UK
| | - Shirley Thomas
- School of Medicine, Queen's Medical Centre, University of Nottingham, Nottingham, UK
| | - Annapoorna Kuppuswamy
- Institute of Neurology Department of Clinical and Movement Neurosciences, University College London, 33 Queen Square, London, UK
- Department of Biomedical Sciences, University of Leeds, Leeds, UK
| | - Sarah T Pendlebury
- Wolfson Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford, UK
| | - Terence J Quinn
- School of Cardiovascular & Metabolic Health, University of Glasgow, Glasgow, UK
| | - Nele Demeyere
- Department of Experimental Psychology, University of Oxford, Anna Watts Building, Radcliffe Observatory Quarter, Oxford, UK.
- Wolfson Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford, UK.
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Bisogno AL, Franco Novelletto L, Zangrossi A, De Pellegrin S, Facchini S, Basile AM, Baracchini C, Corbetta M. The Oxford cognitive screen (OCS) as an acute predictor of long-term functional outcome in a prospective sample of stroke patients. Cortex 2023; 166:33-42. [PMID: 37295236 DOI: 10.1016/j.cortex.2023.04.015] [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: 01/14/2023] [Revised: 03/13/2023] [Accepted: 04/26/2023] [Indexed: 06/12/2023]
Abstract
The Oxford Cognitive Screen (OCS) was developed to measure cognitive impairment in stroke. Here, we test if the OCS administered acutely in stroke patients provides useful information in predicting long-term functional outcome. A group of first-time stroke patients (n = 74) underwent an acute behavioral assessment comprising the OCS and the NIHSS within one-week post-stroke. Functional outcome was evaluated using the Stroke Impact Scale 3.0 (SIS 3.0) and the Geriatric Depression Scale (GDS) at 6 and 12-months post-stroke. We compared the predictive ability of the OCS and NIHSS, separately or in combination, to predict different domains of behavioral impairment at a chronic evaluation. The OCS accounted for 61% of variance of SIS physical domain, 61% of memory domain, 79% of language domain, 70% of participation domain and 70% of recovery domain. The OCS accounted for a greater percentage of outcome variance than demographics and NIHSS. The most informative predictive model included the combination of demographics, OCS and NIHSS data. The OCS, performed early after stroke, is a strong independent predictor of long-term functional outcome and significantly improves the prediction of outcome when considered alongside the NIHSS and demographics.
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Affiliation(s)
- Antonio Luigi Bisogno
- Clinica Neurologica, Department of Neuroscience, University of Padova, Italy; Padova Neuroscience Center (PNC), University of Padova, Italy.
| | | | | | - Serena De Pellegrin
- Clinica Neurologica, Department of Neuroscience, University of Padova, Italy
| | - Silvia Facchini
- Clinica Neurologica, Department of Neuroscience, University of Padova, Italy
| | | | - Claudio Baracchini
- Clinica Neurologica, Department of Neuroscience, University of Padova, Italy; Azienda Ospedaliera Università di Padova, Padova, Italy
| | - Maurizio Corbetta
- Clinica Neurologica, Department of Neuroscience, University of Padova, Italy; Padova Neuroscience Center (PNC), University of Padova, Italy; Azienda Ospedaliera Università di Padova, Padova, Italy; Venetian Institute of Molecular Medicine, VIMM, Padova, Italy
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Hobden G, Tang E, Demeyere N. Cognitive assessment after stroke: A qualitative study of patients' experiences. BMJ Open 2023; 13:e072501. [PMID: 37385749 PMCID: PMC10314571 DOI: 10.1136/bmjopen-2023-072501] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 06/08/2023] [Indexed: 07/01/2023] Open
Abstract
OBJECTIVES Clinical guidelines recommend early cognitive assessment after stroke to inform rehabilitation and discharge decisions. However, little is known about stroke survivors' experiences of the cognitive assessment process. This qualitative study aimed to explore patients' experiences of poststroke cognitive assessments. DESIGN Stroke survivors were purposively sampled in an iterative process through a pool of research volunteers who had previously taken part in the Oxford Cognitive Screen Recovery study. Stroke survivors and their family caregivers were invited to participate in a semistructured interview steered by a topic guide. Interviews were audio recorded, transcribed and analysed using reflexive thematic analysis. Demographic, clinical and cognitive data were acquired from patients' previous research data. SETTING Stroke survivors were originally recruited from the acute inpatient unit at Oxford University Hospital (John Radcliffe), UK. Participants were interviewed after discharge either at their homes or via telephone or videocall. PARTICIPANTS Twenty-six stroke survivors and eleven caregivers participated in semi-structured interviews. RESULTS We identified three key phases of the cognitive assessment process and themes pertaining to each phase. The phases (numbered) and themes (lettered) were as follows: (1) before the cognitive assessment: (A) lack of explanation, (B) considering the assessment useless; (2) during the cognitive assessment: varied emotional responses, moderated by (D) perception of the purpose behind cognitive assessment, (E) perception of cognitive impairment, (F) confidence in cognitive abilities, (G) assessment administration style and (3) after the cognitive assessment: (H) feedback can impact self-confidence and self-efficacy, (I) vague feedback and clinical jargon are unhelpful. CONCLUSIONS Stroke survivors require clear explanations about the purpose and outcomes of poststroke cognitive assessments, including constructive feedback, to promote engagement with the process and protect their psychological wellbeing.
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Affiliation(s)
| | - Eugene Tang
- Population Health Sciences Institute, Newcastle University Faculty of Medical Sciences, Newcastle upon Tyne, UK
| | - Nele Demeyere
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
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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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Brännmark C, Klasson S, Stanne TM, Samuelsson H, Alt Murphy M, Sunnerhagen KS, Åberg ND, Jalnefjord O, Björkman-Burtscher I, Jood K, Tatlisumak T, Jern C. FIND Stroke Recovery Study (FIND): rationale and protocol for a longitudinal observational cohort study of trajectories of recovery and biomarkers poststroke. BMJ Open 2023; 13:e072493. [PMID: 37164469 PMCID: PMC10173956 DOI: 10.1136/bmjopen-2023-072493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/12/2023] Open
Abstract
INTRODUCTION Comprehensive studies mapping domain-specific trajectories of recovery after stroke and biomarkers reflecting these processes are scarce. We, therefore, initiated an exploratory prospective observational study of stroke cases with repeated evaluation, the FIND Stroke Recovery Study. We aim to capture trajectories of recovery from different impairments, including cognition, in combination with broad profiling of blood and imaging biomarkers of the recovery. METHODS AND ANALYSIS We recruit individuals with first-ever stroke at the stroke unit at the Sahlgrenska University Hospital, Sweden, to FIND. The inclusion started early 2018 and we aim to enrol minimum 500 patients. Neurological and cognitive impairments across multiple domains are assessed using validated clinical assessment methods, advanced neuroimaging is performed and blood samples for biomarker measuring (protein, RNA and DNA) at inclusion and follow-up visits at 3 months, 6 months, 1 year, 2 years and 5 years poststroke. At baseline and at each follow-up visit, we also register clinical variables known to influence outcomes such as prestroke functioning, stroke severity, acute interventions, rehabilitation, other treatments, socioeconomic status, infections (including COVID-19) and other comorbidities. Recurrent stroke and other major vascular events are identified continuously in national registers. ETHICS AND DISSEMINATION FIND composes a unique stroke cohort with detailed phenotyping, repetitive assessments of outcomes across multiple neurological and cognitive domains and patient-reported outcomes as well as blood and imaging biomarker profiling. Ethical approval for the FIND study has been obtained from the Regional Ethics Review Board in Gothenburg and the Swedish Ethics Review Board. The results of this exploratory study will provide novel data on the time course of recovery and biomarkers after stroke. The description of this protocol will inform the stroke research community of our ongoing study and facilitate comparisons with other data sets. TRIAL REGISTRATION NUMBER The protocol is registered at http://www. CLINICALTRIALS gov, Study ID: NCT05708807.
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Affiliation(s)
- Cecilia Brännmark
- Department of Laboratory Medicine, Institute of Biomedicine, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Research, Development, Education and Innovation, Gothenburg, Sweden
| | - Sofia Klasson
- Department of Laboratory Medicine, Institute of Biomedicine, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Tara M Stanne
- Department of Laboratory Medicine, Institute of Biomedicine, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Clinical Genetics and Genomics, Gothenburg, Sweden
| | - Hans Samuelsson
- Institute of Psychology, Faculty of Social Sciences, University of Gothenburg, Gothenburg, Sweden
- Region Västra Göraland, Sahlgrenska University Hospital, Department of Rehabilitation Medicin, Gothenburg, Sweden
| | - Margit Alt Murphy
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Occupational Therapy and Physiotherapy, Gothenburg, Sweden
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Katharina S Sunnerhagen
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - N David Åberg
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Acute Medicine and Geriatrics, Gothenburg, Sweden
- Institute of Medicine, Department of Internal Medicine and Clinical Nutrition, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Oscar Jalnefjord
- Department of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska Academy, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Medical Physics and Biomedical Engineering, Gothenburg, Sweden
| | - Isabella Björkman-Burtscher
- Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Radiology, Gothenburg, Sweden
| | - Katarina Jood
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Neurology, Gothenburg, Sweden
| | - Turgut Tatlisumak
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Neurology, Gothenburg, Sweden
| | - Christina Jern
- Department of Laboratory Medicine, Institute of Biomedicine, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Clinical Genetics and Genomics, Gothenburg, Sweden
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Webb SS, Hobden G, Roberts R, Chiu EG, King S, Demeyere N. Validation of the UK English Oxford cognitive screen-plus in sub-acute and chronic stroke survivors. Eur Stroke J 2022; 7:476-486. [PMID: 36478766 PMCID: PMC9720845 DOI: 10.1177/23969873221119940] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 07/22/2022] [Indexed: 07/27/2023] Open
Abstract
Introduction Stroke survivors are routinely screened for cognitive impairment with tools that often fail to detect subtle impairments. The Oxford Cognitive Screen-Plus (OCS-Plus) is a brief tablet-based screen designed to detect subtle post-stroke cognitive impairments. We examined its psychometric properties in two UK English-speaking stroke cohorts (subacute: <3 months post-stroke, chronic: >6 months post-stroke) cross-sectionally. Patients and methods This study included 347 stroke survivors (mean age = 73 years; mean education = 13 years; 43.06% female; 74.42% ischaemic stroke). The OCS-Plus was completed by 181 sub-acute stroke survivors and 166 chronic stroke survivors. All participants also completed the Oxford Cognitive Screen (OCS) and a subset completed the Montreal Cognitive Assessment (MoCA) and further neuropsychological tests. Results First, convergent construct validity of OCS-Plus tasks to task-matched standardized neuropsychological tests was confirmed (r > 0.30). Second, we evaluated divergent construct validity of all OCS-Plus subtasks (r < 0.19). Third, we report the sensitivity and specificity of each OCS-Plus subtask compared to neuropsychological test performance. Fourth, we found that OCS-Plus detected cognitive impairments in a large proportion of those classed as unimpaired on MoCA (100%) and OCS (98.50%). Discussion and conclusion The OCS-Plus provides a valid screening tool for sensitive detection of subtle cognitive impairment in stroke patients. Indeed, the OCS-Plus detected subtle cognitive impairment at a similar level to validated neuropsychological assessments and exceeded detection of cognitive impairment compared to standard clinical screening tools.
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Affiliation(s)
- Sam S Webb
- Department of Experimental Psychology,
University of Oxford, Oxford, UK
| | - Georgina Hobden
- Department of Experimental Psychology,
University of Oxford, Oxford, UK
| | - Rebecca Roberts
- Department of Experimental Psychology,
University of Oxford, Oxford, UK
- The Oxford Institute of Clinical
Psychology Training and Research, The Oxford Centre for Psychological Health,
University of Oxford, Oxford, UK
| | - Evangeline G Chiu
- Department of Experimental Psychology,
University of Oxford, Oxford, UK
| | - Sarah King
- Oxfordshire Stroke Rehabilitation Unit,
Oxford Health NHS Foundation Trust, Abingdon, UK
| | - Nele Demeyere
- Department of Experimental Psychology,
University of Oxford, Oxford, UK
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9
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Iosa M, Demeyere N, Abbruzzese L, Zoccolotti P, Mancuso M. Principal Component Analysis of Oxford Cognitive Screen in Patients With Stroke. Front Neurol 2022; 13:779679. [PMID: 35711263 PMCID: PMC9197217 DOI: 10.3389/fneur.2022.779679] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Accepted: 04/26/2022] [Indexed: 11/13/2022] Open
Abstract
Cognitive deficits occur in most patients with stroke and are the important predictors of adverse long-term outcome. Early identification is fundamental to plan the most appropriate care, including rehabilitation and discharge decisions. The Oxford Cognitive Screen (OCS) is a simple, valid, and reliable tool for the assessment of cognitive deficits in patients with stroke. It contains 10 subtests, providing 14 scores referring to 5 theoretically derived cognitive domains: attention, language, number, praxis, and memory. However, an empirical verification of the domain composition of the OCS subtests in stroke data is still lacking in the literature. A principal component analysis (PCA) was performed on 1,973 patients with stroke who were enrolled in OCS studies in the UK and in Italy. A number of six main components were identified relating to the domains of language and arithmetic, memory, visuomotor ability, orientation, spatial exploration, and executive functions. Bootstrapped split-half reliability analysis on patients and comparison between patients and 498 healthy participants, as that between patients with left and right hemisphere damage, confirmed the results obtained by the principal component analysis. A clarification about the contribution of each score to the theoretical original domains and to the components identified by the PCA is provided with the aim to foster the usability of OCS for both clinicians and researchers.
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Affiliation(s)
- Marco Iosa
- Department of Psychology, Sapienza University of Rome, Rome, Italy.,IRCCS Fondazione Santa Lucia, Rome, Italy
| | - Nele Demeyere
- Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom
| | | | - Pierluigi Zoccolotti
- Department of Psychology, Sapienza University of Rome, Rome, Italy.,IRCCS Fondazione Santa Lucia, Rome, Italy
| | - Mauro Mancuso
- Tuscany Rehabilitation Clinic, Arezzo, Italy.,Physical and Rehabilitative Medicine Unit, NHS-USL Tuscany South-Est, Grosseto, Italy
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10
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Moore MJ, Demeyere N. Lesion symptom mapping of domain-specific cognitive impairments using routine imaging in stroke. Neuropsychologia 2022; 167:108159. [PMID: 35041840 DOI: 10.1016/j.neuropsychologia.2022.108159] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 12/14/2021] [Accepted: 01/12/2022] [Indexed: 12/27/2022]
Abstract
INTRODUCTION This large-scale lesion-symptom mapping study investigates the necessary neuro-anatomical substrates of 5 cognitive domains frequently affected post stroke: Language, Attention, Praxis, Number, and Memory. This study aims to demonstrate the validity of using routine clinical brain imaging and standard bedside cognitive screening data from a large, real-world patient cohort for lesion-symptom mapping. PATIENTS AND METHODS Behavioural cognitive screening data from the Oxford Cognitive Screen and routine clinical neuroimaging from 573 acute patients was used in voxel-based lesion-symptom mapping analyses. Patients were classed as impaired or not on each of the subtests within 5 cognitive domains. RESULTS Distinct patterns of lesion damage were associated with different domains. Language functions were associated with damage to left hemisphere fronto-temporal areas. Visuo-spatial functions were associated with damage to posterior occipital areas (Visual Field) and the right temporo-parietal region (Visual Neglect). Different memory impairments were linked to distinct voxel clusters within the left insular and opercular cortices. Deficits which were not associated with localised voxels (e.g. executive function, praxis) represent distributed, bilateral functions. DISCUSSION The standardised, brief Oxford Cognitive Screen was able to reliably differentiate distinct neural correlates critically involved in supporting domain-specific cognitive abilities. CONCLUSION By demonstrating and replicating known brain anatomy correlates within real-life clinical cohorts using routinely collected scans and standard bedside screens, we open up VLSM techniques to a wealth of clinically relevant studies which can capitalise on using existing clinical data.
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Affiliation(s)
- Margaret Jane Moore
- University of Oxford, Department of Experimental Psychology, Radcliffe Observatory Quarter, Oxford, OX2 6GG, United Kingdom
| | - Nele Demeyere
- University of Oxford, Department of Experimental Psychology, Radcliffe Observatory Quarter, Oxford, OX2 6GG, United Kingdom.
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A Comparison of Cranial Cavity Extraction Tools for Non-contrast Enhanced CT Scans in Acute Stroke Patients. Neuroinformatics 2022; 20:587-598. [PMID: 34490589 PMCID: PMC9547790 DOI: 10.1007/s12021-021-09534-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/14/2021] [Indexed: 12/31/2022]
Abstract
Cranial cavity extraction is often the first step in quantitative neuroimaging analyses. However, few automated, validated extraction tools have been developed for non-contrast enhanced CT scans (NECT). The purpose of this study was to compare and contrast freely available tools in an unseen dataset of real-world clinical NECT head scans in order to assess the performance and generalisability of these tools. This study included data from a demographically representative sample of 428 patients who had completed NECT scans following hospitalisation for stroke. In a subset of the scans (n = 20), the intracranial spaces were segmented using automated tools and compared to the gold standard of manual delineation to calculate accuracy, precision, recall, and dice similarity coefficient (DSC) values. Further, three readers independently performed regional visual comparisons of the quality of the results in a larger dataset (n = 428). Three tools were found; one of these had unreliable performance so subsequent evaluation was discontinued. The remaining tools included one that was adapted from the FMRIB software library (fBET) and a convolutional neural network- based tool (rBET). Quantitative comparison showed comparable accuracy, precision, recall and DSC values (fBET: 0.984 ± 0.002; rBET: 0.984 ± 0.003; p = 0.99) between the tools; however, intracranial volume was overestimated. Visual comparisons identified characteristic regional differences in the resulting cranial cavity segmentations. Overall fBET had highest visual quality ratings and was preferred by the readers in the majority of subject results (84%). However, both tools produced high quality extractions of the intracranial space and our findings should improve confidence in these automated CT tools. Pre- and post-processing techniques may further improve these results.
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12
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Moore MJ, Gillebert CR, Demeyere N. Right and left neglect are not anatomically homologous: A voxel-lesion symptom mapping study. Neuropsychologia 2021; 162:108024. [PMID: 34537205 PMCID: PMC8589961 DOI: 10.1016/j.neuropsychologia.2021.108024] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 08/02/2021] [Accepted: 09/14/2021] [Indexed: 12/16/2022]
Abstract
Visuospatial neglect is a heterogenous syndrome which can occur following damage to either right or left hemisphere areas. This study employs voxel-lesion symptom mapping to identify the neural correlates of left and right egocentric and allocentric neglect in a large acute stroke cohort. A cohort of 446 acute stroke survivors (age = 26-95, 44% female) completed neuropsychological neglect assessment and routine clinical imaging. Similar to previous investigations, left egocentric and left allocentric neglect were associated with damage to distinct clusters of voxels within the posterior parietal and temporo-parietal junction areas. Unlike previous investigations, right egocentric neglect was found to most strongly associated with damage to more posterior voxels within left occipital cortical areas. Right allocentric neglect was found to be most strongly associated with damage to the anterior limb of the left internal capsule. Interestingly, the right hemisphere homologues of the areas implicated in right-lateralised neglect were not overlapping with those associated with left neglect impairment. This dissociation was present across both egocentric and allocentric neglect impairment. The results of this investigation suggest that right egocentric/allocentric neglect should not be characterised as a consequence of damage to left-hemisphere homologues of the right hemisphere attentional systems. These findings support the characterisation of visuospatial neglect as a heterogenous cluster of impairments rather than a unitary syndrome and provide novel insight into the neural correlates of spatial attention.
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Affiliation(s)
- Margaret Jane Moore
- University of Oxford, Department of Experimental Psychology, Radcliffe Observatory Quarter, Oxford, OX2 6GG, United Kingdom
| | - Celine R Gillebert
- University of Oxford, Department of Experimental Psychology, Radcliffe Observatory Quarter, Oxford, OX2 6GG, United Kingdom; Department of Brain and Cognition, KU Leuven, Tiensestraat 102 Box 3711, 3000, Leuven, Belgium
| | - Nele Demeyere
- University of Oxford, Department of Experimental Psychology, Radcliffe Observatory Quarter, Oxford, OX2 6GG, United Kingdom.
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Demeyere N, Williams OA, Milosevich E, Chiu EG, Drozdowska BA, Dillon A, Dawes H, Thomas S, Kuppuswamy A, Pendlebury ST, J Quinn T. Long-term psychological consequences of stroke (OX-CHRONIC): A longitudinal study of cognition in relation to mood and fatigue after stroke: Protocol. Eur Stroke J 2021; 6:428-437. [PMID: 35342816 PMCID: PMC8948513 DOI: 10.1177/23969873211046120] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 08/25/2021] [Indexed: 12/18/2022] Open
Abstract
Background The long-term psychological consequences of stroke and how cognitive problems change over time after the first-year following stroke remain unclear. Particularly, trajectories of domain-specific and domain-general cognitive functions and how cognition interacts with mood, fatigue and quality of life are not well described. Aims To determine the prevalence, trajectories and wider impact of domain-specific cognitive impairment in long-term stroke survivors, in relation to mood, fatigue and quality of life. Methods Participants who previously took part in the Oxford Cognitive Screening study, completed the 6-month follow-up with cognitive, mood, fatigue and quality of life assessments and agreed to be contacted for future research will be recruited into OX-CHRONIC. The eligible cohort is between 2- and 9-years post-stroke. Cognition will be assessed with a detailed neuropsychological battery, alongside questionnaire measures of mood, fatigue, activities of daily life and quality of life measures at two timepoints, 1 year apart. Additionally, medical records will be accessed to extract further clinical information about the stroke and patients may opt-in to wear an activity monitor for 1 week to provide fine-grained measures of sleep and activity. The study protocol and study materials were approved by the national ethics committee (REC Ref: 19/SC/0520). Planned outputs OX-CHRONIC will provide detailed data on the evolving cognitive profiles of stroke survivors over several years post-stroke. Estimates of long-term prevalence as well as the effect of changes in cognitive profiles on mood, fatigue and quality of life will be examined. This study is funded by a Priority Programme Grant from the Stroke Association (SA PPA 18/100032).
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Affiliation(s)
- Nele Demeyere
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | - Owen A Williams
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | - Elise Milosevich
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | - Evangeline G Chiu
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | - Bogna A Drozdowska
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Avril Dillon
- Centre for Movement, Occupational and Rehabilitation Sciences, Oxford Institute of Nursing, Midwifery and Allied Health Research, Oxford Brookes University, Oxford, UK
| | - Helen Dawes
- Centre for Movement, Occupational and Rehabilitation Sciences, Oxford Institute of Nursing, Midwifery and Allied Health Research, Oxford Brookes University, Oxford, UK
| | - Shirley Thomas
- School of Medicine, University of Nottingham, Nottingham, UK
| | - Annapoorna Kuppuswamy
- Department of Clinical and Movement Neurosciences, Institute of Neurology, University College London, London, UK
| | - 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 (Internal) Medicine and Gerantology, John Radcliffe Hospital, Oxford, UK
| | - Terence J Quinn
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
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14
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Quinn TJ, Richard E, Teuschl Y, Gattringer T, Hafdi M, O'Brien JT, Merriman N, Gillebert C, Huygelier H, Verdelho A, Schmidt R, Ghaziani E, Forchammer H, Pendlebury ST, Bruffaerts R, Mijajlovic M, Drozdowska BA, Ball E, Markus HS. European Stroke Organisation and European Academy of Neurology joint guidelines on post-stroke cognitive impairment. Eur J Neurol 2021; 28:3883-3920. [PMID: 34476868 DOI: 10.1111/ene.15068] [Citation(s) in RCA: 59] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 08/13/2021] [Indexed: 12/14/2022]
Abstract
BACKGROUND AND PURPOSE The optimal management of post-stroke cognitive impairment (PSCI) remains controversial. These joint European Stroke Organisation (ESO) and European Academy of Neurology (EAN) guidelines provide evidence-based recommendations to assist clinicians in decision making regarding prevention, diagnosis, treatment and prognosis. METHODS Guidelines were developed according to the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) methodology. The working group identified relevant clinical questions, performed systematic reviews, assessed the quality of the available evidence, and made specific recommendations. Expert consensus statements were provided where insufficient evidence was available to provide recommendations. RESULTS There was limited randomized controlled trial (RCT) evidence regarding single or multicomponent interventions to prevent post-stroke cognitive decline. Lifestyle interventions and treating vascular risk factors have many health benefits, but a cognitive effect is not proven. We found no evidence regarding routine cognitive screening following stroke, but recognize the importance of targeted cognitive assessment. We describe the accuracy of various cognitive screening tests, but found no clearly superior approach to testing. There was insufficient evidence to make a recommendation for use of cholinesterase inhibitors, memantine nootropics or cognitive rehabilitation. There was limited evidence on the use of prediction tools for post-stroke cognition. The association between PSCI and acute structural brain imaging features was unclear, although the presence of substantial white matter hyperintensities of presumed vascular origin on brain magnetic resonance imaging may help predict cognitive outcomes. CONCLUSIONS These guidelines highlight fundamental areas where robust evidence is lacking. Further definitive RCTs are needed, and we suggest priority areas for future research.
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Affiliation(s)
- Terence J Quinn
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Edo Richard
- Department of Neurology, Donders Institute for Brain, Behaviour and Cognition, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Yvonne Teuschl
- Department for Clinical Neurosciences and Preventive Medicine, Danube University Krems, Krems, Austria
| | - Thomas Gattringer
- Department of Neurology and Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Graz, Austria
| | - Melanie Hafdi
- Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - John T O'Brien
- Department of Psychiatry, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Niamh Merriman
- Department of Health Psychology, Division of Population Health Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Celine Gillebert
- Department Brain and Cognition, Leuven Brain Institute, KU Leuven, Leuven, Belgium.,TRACE, Centre for Translational Psychological Research (TRACE), KU Leuven - Hospital East-Limbourgh, Genk, Belgium
| | - Hanne Huygelier
- Department Brain and Cognition, Leuven Brain Institute, KU Leuven, Leuven, Belgium.,TRACE, Centre for Translational Psychological Research (TRACE), KU Leuven - Hospital East-Limbourgh, Genk, Belgium
| | - Ana Verdelho
- Department of Neurosciences and Mental Health, Hospital de Santa Maria, Lisbon, Portugal
| | - Reinhold Schmidt
- Department of Neurology and Medical University of Graz, Graz, Austria
| | - Emma Ghaziani
- Department of Physical and Occupational Therapy, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | | | - Sarah T Pendlebury
- Departments of Medicine and Geratology and NIHR Oxford Biomedical Research Centre Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, UK
| | - Rose Bruffaerts
- Biomedical Research Institute, Hasselt University, Diepenbeek, Belgium
| | - Milija Mijajlovic
- Neurosonology Unit, Neurology Clinic, University Clinical Center of Serbia and Faculty of Medicine University of Belgrade, Belgrade, Serbia
| | - Bogna A Drozdowska
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Emily Ball
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Hugh S Markus
- Stroke Research group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
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15
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Moore MJ, Vancleef K, Riddoch MJ, Gillebert CR, Demeyere N. Recovery of Visuospatial Neglect Subtypes and Relationship to Functional Outcome Six Months After Stroke. Neurorehabil Neural Repair 2021; 35:823-835. [PMID: 34269128 PMCID: PMC8414826 DOI: 10.1177/15459683211032977] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Background/Objective. This study aims to investigate how complex visuospatial neglect behavioural phenotypes predict long-term outcomes, both in terms of neglect recovery and broader functional outcomes after 6 months post-stroke. Methods. This study presents a secondary cohort study of acute and 6-month follow-up data from 400 stroke survivors who completed the Oxford Cognitive Screen's Cancellation Task. At follow-up, patients also completed the Stroke Impact Scale questionnaire. These data were analysed to identify whether any specific combination of neglect symptoms is more likely to result in long-lasting neglect or higher levels of functional impairment, therefore warranting more targeted rehabilitation. Results. Overall, 98/142 (69%) neglect cases recovered by follow-up, and there was no significant difference in the persistence of egocentric/allocentric (X2 [1] = .66 and P = .418) or left/right neglect (X2 [2] = .781 and P = .677). Egocentric neglect was found to follow a proportional recovery pattern with all patients demonstrating a similar level of improvement over time. Conversely, allocentric neglect followed a non-proportional recovery pattern with chronic neglect patients exhibiting a slower rate of improvement than those who recovered. A multiple regression analysis revealed that the initial severity of acute allocentric, but not egocentric, neglect impairment acted as a significant predictor of poor long-term functional outcomes (F [9,300] = 4.742, P < .001 and adjusted R2 = .098). Conclusions. Our findings call for systematic neuropsychological assessment of both egocentric and allocentric neglect following stroke, as the occurrence and severity of these conditions may help predict recovery outcomes over and above stroke severity alone.
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Affiliation(s)
- Margaret J. Moore
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | - Kathleen Vancleef
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | - M. Jane Riddoch
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | | | - Nele Demeyere
- Department of Experimental Psychology, University of Oxford, Oxford, UK
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16
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Quinn TJ, Richard E, Teuschl Y, Gattringer T, Hafdi M, O’Brien JT, Merriman N, Gillebert C, Huyglier H, Verdelho A, Schmidt R, Ghaziani E, Forchammer H, Pendlebury ST, Bruffaerts R, Mijajlovic M, Drozdowska BA, Ball E, Markus HS. European Stroke Organisation and European Academy of Neurology joint guidelines on post-stroke cognitive impairment. Eur Stroke J 2021; 6:I-XXXVIII. [PMID: 34746430 PMCID: PMC8564156 DOI: 10.1177/23969873211042192] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 08/09/2021] [Indexed: 01/14/2023] Open
Abstract
The optimal management of post-stroke cognitive impairment remains controversial. These joint European Stroke Organisation (ESO) and European Academy of Neurology (EAN) guidelines provide evidence-based recommendations to assist clinicians in decision making around prevention, diagnosis, treatment and prognosis. These guidelines were developed according to ESO standard operating procedure and the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) methodology. The working group identified relevant clinical questions, performed systematic reviews and, where possible, meta-analyses of the literature, assessed the quality of the available evidence and made specific recommendations. Expert consensus statements were provided where insufficient evidence was available to provide recommendations based on the GRADE approach. There was limited randomised controlled trial evidence regarding single or multicomponent interventions to prevent post-stroke cognitive decline. Interventions to improve lifestyle and treat vascular risk factors may have many health benefits but a beneficial effect on cognition is not proven. We found no evidence around routine cognitive screening following stroke but recognise the importance of targeted cognitive assessment. We described the accuracy of various cognitive screening tests but found no clearly superior approach to testing. There was insufficient evidence to make a recommendation for use of cholinesterase inhibitors, memantine nootropics or cognitive rehabilitation. There was limited evidence on the use of prediction tools for post-stroke cognitive syndromes (cognitive impairment, dementia and delirium). The association between post-stroke cognitive impairment and most acute structural brain imaging features was unclear, although the presence of substantial white matter hyperintensities of presumed vascular origin on acute MRI brain may help predict cognitive outcomes. These guidelines have highlighted fundamental areas where robust evidence is lacking. Further, definitive randomised controlled trials are needed, and we suggest priority areas for future research.
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Affiliation(s)
- Terence J Quinn
- Institute of Cardiovascular and
Medical Sciences, University of Glasgow, Glasgow, UK
| | - Edo Richard
- Department of Neurology, Donders
Institute for Brain, Behaviour and Cognition, Radboud University Medical
Centre, Nijmegen, The Netherlands
| | - Yvonne Teuschl
- Department for Clinical
Neurosciences and Preventive Medicine, Danube University Krems, der Donau, Austria
| | - Thomas Gattringer
- Department of Neurology and
Division of Neuroradiology, Vascular and Interventional Radiology, Department of
Radiology, Medical University of
Graz, Graz, Austria
| | - Melanie Hafdi
- Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - John T O’Brien
- Department of Psychiatry, University of Cambridge School of
Clinical Medicine, Cambridge, UK
| | - Niamh Merriman
- Deptartment of Health Psychology,
Division of Population Health Sciences, Royal College of Surgeons in
Ireland, Dublin, Ireland
| | - Celine Gillebert
- Department Brain & Cognition, Leuven Brain Institute, KU Leuven, Leuven, Belgium
- TRACE, Centre for Translational
Psychological Research (TRACE), KU Leuven – Hospital
East-Limbourgh, Genk, Belgium
| | - Hanne Huyglier
- Department Brain & Cognition, Leuven Brain Institute, KU Leuven, Leuven, Belgium
- TRACE, Centre for Translational
Psychological Research (TRACE), KU Leuven – Hospital
East-Limbourgh, Genk, Belgium
| | - Ana Verdelho
- Department of Neurosciences and
Mental Health, Hospital de Santa Maria, Lisbon, Portugal
| | - Reinhold Schmidt
- Department of Neurology, Medical University of
Graz, Graz, Austria
| | - Emma Ghaziani
- Department of Physical and
Occupational Therapy, Bispebjerg and Frederiksberg
Hospital, Copenhagen, Denmark
| | | | - Sarah T Pendlebury
- Departments of Medicine and
Geratology and NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford University Hospitals NHS
Foundation Trust, Oxford, UK
| | - Rose Bruffaerts
- Biomedical Research Institute, Hasselt University, Hasselt, Belgium
| | - Milija Mijajlovic
- Neurosonology Unit, Neurology
Clinic, University Clinical Center of Serbia
and Faculty of Medicine University of Belgrade, Belgrade, Serbia
| | - Bogna A Drozdowska
- Institute of Cardiovascular and
Medical Sciences, University of Glasgow, Glasgow, UK
| | - Emily Ball
- Centre for Clinical Brain
Sciences, University of Edinburgh, Edinburgh, Scotland
| | - Hugh S Markus
- Stroke Research Group, Department
of Clinical Neurosciences, University of Cambridge, Cambridge, UK
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Bisogno AL, Favaretto C, Zangrossi A, Monai E, Facchini S, De Pellegrin S, Pini L, Castellaro M, Basile AM, Baracchini C, Corbetta M. A low-dimensional structure of neurological impairment in stroke. Brain Commun 2021; 3:fcab119. [PMID: 34136813 PMCID: PMC8204367 DOI: 10.1093/braincomms/fcab119] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 03/03/2021] [Accepted: 06/01/2021] [Indexed: 12/18/2022] Open
Abstract
Neurological deficits following stroke are traditionally described as syndromes related to damage of a specific area or vascular territory. Recent studies indicate that, at the population level, post-stroke neurological impairments cluster in three sets of correlated deficits across different behavioural domains. To examine the reproducibility and specificity of this structure, we prospectively studied first-time stroke patients (n = 237) using a bedside, clinically applicable, neuropsychological assessment and compared the behavioural and anatomical results with those obtained from a different prospective cohort studied with an extensive neuropsychological battery. The behavioural assessment at 1-week post-stroke included the Oxford Cognitive Screen and the National Institutes of Health Stroke Scale. A principal component analysis was used to reduce variables and describe behavioural variance across patients. Lesions were manually segmented on structural scans. The relationship between anatomy and behaviour was analysed using multivariate regression models. Three principal components explained ≈50% of the behavioural variance across subjects. PC1 loaded on language, calculation, praxis, right side neglect and memory deficits; PC2 loaded on left motor, visual and spatial neglect deficits; PC3 loaded on right motor deficits. These components matched those obtained with a more extensive battery. The underlying lesion anatomy was also similar. Neurological deficits following stroke are correlated in a low-dimensional structure of impairment, related neither to the damage of a specific area or vascular territory. Rather they reflect widespread network impairment caused by focal lesions. These factors showed consistency across different populations, neurobehavioural batteries and, most importantly, can be described using a combination of clinically applicable batteries (National Institutes of Health Stroke Scale and Oxford Cognitive Screen). They represent robust behavioural biomarkers for future stroke population studies.
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Affiliation(s)
| | - Chiara Favaretto
- Department of Neuroscience, University of Padova, Padova 35100, Italy
| | - Andrea Zangrossi
- Department of Neuroscience, University of Padova, Padova 35100, Italy
| | - Elena Monai
- Department of Neuroscience, University of Padova, Padova 35100, Italy
| | - Silvia Facchini
- Department of Neuroscience, University of Padova, Padova 35100, Italy
| | | | - Lorenzo Pini
- Padova Neuroscience Center (PNC), University of Padova, Padova 35100, Italy
| | - Marco Castellaro
- Department of Information Engineering, University of Padova, Padova 35100, Italy
| | | | | | - Maurizio Corbetta
- Department of Neuroscience, University of Padova, Padova 35100, Italy
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18
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Williams OA, Demeyere N. Association of Depression and Anxiety With Cognitive Impairment 6 Months After Stroke. Neurology 2021; 96:e1966-e1974. [PMID: 33632803 DOI: 10.1212/wnl.0000000000011748] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 01/13/2021] [Indexed: 12/18/2022] Open
Abstract
OBJECTIVE To investigate the associations between general cognitive impairment and domain-specific cognitive impairment with depression and anxiety at 6 months poststroke. METHODS Participants were patients with confirmed acute stroke from the OCS-Care Study who were recruited on stroke wards in a multisite study and followed up at a 6-month poststroke assessment. Depression and anxiety symptoms were assessed by the Hospital Anxiety and Depression Scale subscales, with scores greater than 7 indicating possible mood disorders. General cognitive impairment at follow-up was assessed using the Montreal Cognitive Assessment (MoCA); stroke-specific cognitive domain impairments were assessed using the Oxford Cognitive Screen (OCS). Linear regression was used to examine the associations between cognition and depression/anxiety symptoms at 6 months, controlling for acute stroke severity and activities of daily living impairment, age, sex, education, and co-occurring poststroke depression/anxiety. RESULTS A total of 437 participants (mean age, 69.28 years [SD 12.17], 226 male [51.72%]) were included in analyses. Six-month poststroke depression (n = 115, 26%) was associated with 6-month impairment on the MoCA (β = 0.96, standard error [SE] 0.31, p = 0.006) and all individual domains assessed by the OCS: spatial attention (β = 0.67, SE 0.33, p = 0.041), executive function (β = 1.37, SE 0.47, p = 0.004), language processing (β = 0.87, SE 0.38, p = 0.028), memory (β = 0.76, SE 0.37, p = 0.040), number processing (β = 1.13, SE 0.40, p = 0.005), and praxis (β = 1.16, SE 0.49, p = 0.028). Poststroke anxiety (n = 133, 30%) was associated with impairment on the MoCA (β = 1.47, SE 0.42, p = 0.001) and spatial attention (β = 1.25, SE 0.45, p = 0.006); these associations did not remain significant after controlling for co-occurring poststroke depression. CONCLUSION Domain-general and domain-specific poststroke cognitive impairment was found to be highly related to depressive symptomatology but not anxiety symptomatology.
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Affiliation(s)
- Owen A Williams
- From the Department of Experimental Psychology, University of Oxford, UK.
| | - Nele Demeyere
- From the Department of Experimental Psychology, University of Oxford, UK
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19
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Comparison of Oxford Cognitive Screen and Montreal Cognitive Assessment feasibility in the stroke unit setting. A pilot study. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2021; 2:100021. [PMID: 36324706 PMCID: PMC9616334 DOI: 10.1016/j.cccb.2021.100021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Revised: 06/27/2021] [Accepted: 06/28/2021] [Indexed: 11/22/2022]
Abstract
MoCA and OCS are brief tools to assess cognition in stroke patients. We found good agreement between MoCA and OCS measures. MoCA and OCS were feasible in the stroke unit setting. Qualitative information related to the patients and setting were registered. We found high level of acceptability by patients for both tests.
Background : Cognitive status evaluation is not routine in the acute stroke setting and there is no consensus on which neuropsychological tool is more feasible and informative. The aim of this pilot study was to compare the feasibility and acceptability of two brief cognitive tests, the Montreal Cognitive Assessment (MoCA) and the Oxford Cognitive Screen (OCS), in acute stroke, with a focus on patients' experience, administration time, and the cognitive data obtained. Methods : Patients with a diagnosis of ischemic or hemorrhagic stroke or of transient ischemic attack admitted to two stroke units were included. The sample consisted of 34 participants (mean age ±SD 71.1 ± 16.1 years, 25 males). Within five days of onset, patients were evaluated by means of the MoCA and OCS by a trained neuropsychologist. Results Both tests were feasible in the stroke unit setting and had a high level of acceptability by patients. MoCA test was fully completed by 25 patients, OCS by 21 patients. The OCS administration time was longer than that of the MoCA. However, OCS was perceived less demanding than MoCA by patients. Twenty patients completed both the MoCA and the OCS entirely, and only 2 of them did not show any impairment in both tests. Seventeen patients showed at least an impaired domain on the OCS and 15 patients presented with a MoCA global score below cut-off for cognitive impairment. Conclusions Our preliminary study did not show a superiority of the OCS over the widely used MoCA, and suggests the need for further validation in larger samples of stroke patients, exploring tests accuracy in detecting cognitive post-stroke impairment.
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