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Verhulst MMLH, Glimmerveen AB, van Heugten CM, Helmich RCG, Hofmeijer J. MRI factors associated with cognitive functioning after acute onset brain injury: Systematic review and meta-analysis. Neuroimage Clin 2023; 38:103415. [PMID: 37119695 PMCID: PMC10165272 DOI: 10.1016/j.nicl.2023.103415] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 03/22/2023] [Accepted: 04/19/2023] [Indexed: 05/01/2023]
Abstract
Impairments of memory, attention, and executive functioning are frequently reported after acute onset brain injury. MRI markers hold potential to contribute to identification of patients at risk for cognitive impairments and clarification of mechanisms. The aim of this systematic review was to summarize and value the evidence on MRI markers of memory, attention, and executive functioning after acute onset brain injury. We included ninety-eight studies, on six classes of MRI factors (location and severity of damage (n = 15), volume/atrophy (n = 36), signs of small vessel disease (n = 15), diffusion-weighted imaging measures (n = 36), resting-state functional MRI measures (n = 13), and arterial spin labeling measures (n = 1)). Three measures showed consistent results regarding their association with cognition. Smaller hippocampal volume was associated with worse memory in fourteen studies (pooled correlation 0.58 [95% CI: 0.46-0.68] for whole, 0.11 [95% CI: 0.04-0.19] for left, and 0.34 [95% CI: 0.17-0.49] for right hippocampus). Lower fractional anisotropy in cingulum and fornix was associated with worse memory in six and five studies (pooled correlation 0.20 [95% CI: 0.08-0.32] and 0.29 [95% CI: 0.20-0.37], respectively). Lower functional connectivity within the default-mode network was associated with worse cognition in four studies. In conclusion, hippocampal volume, fractional anisotropy in cingulum and fornix, and functional connectivity within the default-mode network showed consistent associations with cognitive performance in all types of acute onset brain injury. External validation and cut off values for predicting cognitive impairments are needed for clinical implementation.
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Affiliation(s)
- Marlous M L H Verhulst
- Clinical Neurophysiology, University of Twente, Enschede, The Netherlands; Department of Neurology, Rijnstate Hospital, Arnhem, The Netherlands.
| | - Astrid B Glimmerveen
- Clinical Neurophysiology, University of Twente, Enschede, The Netherlands; Department of Neurology, Rijnstate Hospital, Arnhem, The Netherlands
| | - Caroline M van Heugten
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands; Limburg Brain Injury Center, Maastricht University, Maastricht, The Netherlands; Department of Neuropsychology and Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Rick C G Helmich
- Donders Institute for Brain, Cognition, and Behavior, Centre for Cognitive Neuroimaging, Radboud University Nijmegen, Nijmegen, The Netherlands; Department of Neurology, Centre of Expertise for Parkinson & Movement Disorders, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Jeannette Hofmeijer
- Clinical Neurophysiology, University of Twente, Enschede, The Netherlands; Department of Neurology, Rijnstate Hospital, Arnhem, The Netherlands
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GLIMMERVEEN A, VERHULST M, VERBUNT J, van HEUGTEN C, HOFMEIJER J. Predicting Long-Term Cognitive Impairments in Survivors after Cardiac Arrest: A Systematic Review. J Rehabil Med 2023; 55:jrm00368. [PMID: 36714933 PMCID: PMC9900490 DOI: 10.2340/jrm.v55.3497] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 11/29/2022] [Indexed: 01/31/2023] Open
Abstract
OBJECTIVE International guidelines recommend early screening for identification of patients who are at risk of long-term cognitive impairments after cardiac arrest. However, information about predictors is not provided. A systematic review of the literature was performed to identify early predictors of long-term cognitive outcome after cardiac arrest. METHODS Scopus and PubMed were systematically searched to identify studies on early predictors of long-term cognitive outcome in patients after cardiac arrest. The population included adult cardiac arrest survivors and potential early predictors were demographics, early cognitive screening scores, imaging measures, electroencephalographic measures, and levels of blood biomarkers. Two investigators reviewed studies for relevance, extracted data and assessed risk of bias. RESULTS Five articles were included. Risk of bias was assessed as low or moderate. Most detected longterm cognitive impairments were in the domain of memory. Coma duration (2 studies), early cognitive impairments by the self-developed clinical Bedside Neuropsychological Test Battery (BNTB) screener (2 studies), and high S-100B levels on day 3 (2 studies) were the most prominent identified determinants of cognitive impairment on the group level. On the individual patient level, a score on the BNTB of ≤ 94.5 predicted cognitive impairments at 6 months after cardiac arrest (1 study without external validation). Studies on brain imaging and electroencephalography are lacking. CONCLUSION Early bedside cognitive screening can contribute to prediction of long-term cognitive impairment after cardiac arrest. Evidence is scarce for S-100B levels and coma duration and absent for measures derived from brain imaging and electroencephalography.
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Affiliation(s)
- Astrid GLIMMERVEEN
- Department of Neurology, Rijnstate Hospital, Arnhem,Department of Clinical Neurophysiology, University of Twente, Faculty of Science and Technology, Enschede
| | - Marlous VERHULST
- Department of Neurology, Rijnstate Hospital, Arnhem,Department of Clinical Neurophysiology, University of Twente, Faculty of Science and Technology, Enschede
| | - Jeanine VERBUNT
- Department of Rehabilitation Medicine, Maastricht University, Care and Public Health Research Institute, Functioning and Rehabilitation,Adelante Centre of Expertise in Rehabilitation and Audiology
| | - Caroline van HEUGTEN
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastrich University,Department of Neuropsychology and Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Jeannette HOFMEIJER
- Department of Neurology, Rijnstate Hospital, Arnhem,Department of Clinical Neurophysiology, University of Twente, Faculty of Science and Technology, Enschede
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The Relationship of Psychiatric Symptoms with Performance-Based and Self-Reported Cognitive Function After Ischemic Stroke. J Int Neuropsychol Soc 2022; 28:35-47. [PMID: 33785079 DOI: 10.1017/s1355617721000187] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVE Findings on the relationship of psychiatric symptoms with performance-based and self-reported cognitive function post-stroke are inconclusive. We aimed to (1) study the relation of depression and anxiety to performance-based cognitive function and (2) explore a broader spectrum of psychiatric symptoms and their association with performance-based versus self-reported cognitive function. METHOD Individuals with supratentorial ischemic stroke performed neuropsychological examination 3 months after stroke. For primary analyses, composite scores for memory and attention/executive function were calculated based on selected neuropsychological tests, and the Hospital Anxiety and Depression Scale (HADS) was used. Psychiatric symptoms and self-reported cognitive function for secondary aims were assessed using the Symptom-Checklist-90 - Revised (SCL-90-R). RESULTS In a sample of 86 patients [mean (M) age: 64.6 ± 9.2; Mini-Mental State Examination (MMSE), 3-7 days post-stroke: M = 28.4 ± 1.7; National Institutes of Health Stroke Scale (NIHSS) after 3 months: M = 0.7 ± 1.6] depressive symptoms (HADS) were associated with poorer memory performance after controlling for age, sex, and education (p ≤ .01). In a subsample (n = 41; Age: M = 65.7 ± 8.1; MMSE: M = 28.4 ± 1.8; NIHSS: M = 1.0 ± 1.9), symptoms of phobic anxiety (SCL-90-R) were associated with poorer performance-based memory and attention/executive function, and symptoms of anxiety (SCL-90-R) with lower attention/executive function. Higher levels of self-reported cognitive difficulties were associated with higher scores in all psychiatric domains (p ≤ .05). CONCLUSION Even in relatively well-functioning stroke patients, depressive symptoms are associated with poorer memory. The results also suggest that various psychiatric symptoms are more related to self-reported rather than to performance-based cognitive function. Screening for self-reported cognitive difficulties may not only help to identify patients with cognitive impairment, but also those who need psychological treatment.
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Barber P, Nestor SM, Wang M, Wu P, Ursenbach J, Munir A, Gupta R, Tariq SS, Smith E, Frayne R, Black SE, Sajobi T, Coutts S. Hippocampal atrophy and cognitive function in transient ischemic attack and minor stroke patients over three years. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2021; 2:100019. [PMID: 36324718 PMCID: PMC9616379 DOI: 10.1016/j.cccb.2021.100019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 06/17/2021] [Accepted: 06/20/2021] [Indexed: 06/16/2023]
Abstract
Introduction Transient ischemic attack (TIA) and minor ischemic stroke (IS) is associated with a increased risk of late life dementia. In this study we aim to study the extent to which the rates of hippocampal atrophy in TIA/IS differ from healthy controls, and how they are correlated to neuropsychological measurements. Methods TIA or minor stroke patients were tested with a neuropsychological battery including tests of executive function, and verbal and non-verbal memory at three time points out to 3 years. Annualized rates of hippocampal atrophy in TIA/IS patients were compared to controls. A linear-mixed regression model was used to assess the difference in rates of hippocampal atrophy after adjusting for time and demographic characteristics. Results TIA/IS patients demonstrated a higher hippocampal atrophy rate than healthy controls over a 3-year interval: the annual percentage change of the left hippocampal volume was 2.5% (78 mm3 per year (SD 60)) for TIA/IS patients compared to 0.9% (29 mm3 per year (SD 32)) for controls (p < 0.01); and the annual percentage change of the right hippocampal volume was 2.5% (80 mm3 per year (SD 46)) for TIA/IS patients compared to 0.5% (17 mm3 per year (SD 33)) for controls (P < 0.01). Patients with higher annual hippocampal atrophy were more likely to report higher TMT B times, but lower ROC total score, lower California Verbal Learning Test-II total recall, and lower ROC Figure recall scores longitudinally. Conclusion TIA/IS patients experience a higher rate of hippocampal atrophy independent of TIA/IS recurrence that are associated with changes in episodic memory and executive function over 3 years.
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Affiliation(s)
- Philip Barber
- Calgary Stroke Program, Department of Clinical Neurosciences, Foothills Medical Centre, 1403 29th Street NW, Calgary AB, Canada
- Cumming School of Medicine, Hotchkiss Brain Institute, 3330 Hospital Drive NW, Calgary AB, Canada
- Department of Community Health Sciences, University of Calgary, 3280 Hospital Drive NW, Calgary, Canada
| | - Sean M. Nestor
- Hurvitz Brain Sciences Program, Sunnybrook Health Science Centre, University of Toronto, ON, Canada
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Meng Wang
- Department of Community Health Sciences, University of Calgary, 3280 Hospital Drive NW, Calgary, Canada
| | - Pauline Wu
- Calgary Stroke Program, Department of Clinical Neurosciences, Foothills Medical Centre, 1403 29th Street NW, Calgary AB, Canada
| | - Jake Ursenbach
- Calgary Stroke Program, Department of Clinical Neurosciences, Foothills Medical Centre, 1403 29th Street NW, Calgary AB, Canada
- Seaman Family MR Center, Foothills Medical Centre, 1403 29th Street NW, Calgary AB, Canada
- Cumming School of Medicine, Hotchkiss Brain Institute, 3330 Hospital Drive NW, Calgary AB, Canada
| | - Amlish Munir
- Calgary Stroke Program, Department of Clinical Neurosciences, Foothills Medical Centre, 1403 29th Street NW, Calgary AB, Canada
- Seaman Family MR Center, Foothills Medical Centre, 1403 29th Street NW, Calgary AB, Canada
- Cumming School of Medicine, Hotchkiss Brain Institute, 3330 Hospital Drive NW, Calgary AB, Canada
| | - Rani Gupta
- Calgary Stroke Program, Department of Clinical Neurosciences, Foothills Medical Centre, 1403 29th Street NW, Calgary AB, Canada
- Seaman Family MR Center, Foothills Medical Centre, 1403 29th Street NW, Calgary AB, Canada
- Cumming School of Medicine, Hotchkiss Brain Institute, 3330 Hospital Drive NW, Calgary AB, Canada
| | - Sah Sana Tariq
- Calgary Stroke Program, Department of Clinical Neurosciences, Foothills Medical Centre, 1403 29th Street NW, Calgary AB, Canada
- Cumming School of Medicine, Hotchkiss Brain Institute, 3330 Hospital Drive NW, Calgary AB, Canada
| | - Eric Smith
- Calgary Stroke Program, Department of Clinical Neurosciences, Foothills Medical Centre, 1403 29th Street NW, Calgary AB, Canada
- Cumming School of Medicine, Hotchkiss Brain Institute, 3330 Hospital Drive NW, Calgary AB, Canada
| | - Richard Frayne
- Seaman Family MR Center, Foothills Medical Centre, 1403 29th Street NW, Calgary AB, Canada
- Cumming School of Medicine, Hotchkiss Brain Institute, 3330 Hospital Drive NW, Calgary AB, Canada
- Department of Clinical Neurosciences, University of Calgary, 1403 29th Street NW, Calgary, Canada
- Department of Radiology, University of Calgary, 1403 29th Street NW, Calgary, Canada
| | - Sandra E. Black
- Hurvitz Brain Sciences Program, Sunnybrook Health Science Centre, University of Toronto, ON, Canada
| | - Tolupe Sajobi
- Calgary Stroke Program, Department of Clinical Neurosciences, Foothills Medical Centre, 1403 29th Street NW, Calgary AB, Canada
- Department of Community Health Sciences, University of Calgary, 3280 Hospital Drive NW, Calgary, Canada
| | - Shelagh Coutts
- Calgary Stroke Program, Department of Clinical Neurosciences, Foothills Medical Centre, 1403 29th Street NW, Calgary AB, Canada
- Cumming School of Medicine, Hotchkiss Brain Institute, 3330 Hospital Drive NW, Calgary AB, Canada
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Schaeffer MJ, Chan L, Barber PA. The neuroimaging of neurodegenerative and vascular disease in the secondary prevention of cognitive decline. Neural Regen Res 2021; 16:1490-1499. [PMID: 33433462 PMCID: PMC8323688 DOI: 10.4103/1673-5374.303011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Structural brain changes indicative of dementia occur up to 20 years before the onset of clinical symptoms. Efforts to modify the disease process after the onset of cognitive symptoms have been unsuccessful in recent years. Thus, future trials must begin during the preclinical phases of the disease before symptom onset. Age related cognitive decline is often the result of two coexisting brain pathologies: Alzheimer’s disease (amyloid, tau, and neurodegeneration) and vascular disease. This review article highlights some of the common neuroimaging techniques used to visualize the accumulation of neurodegenerative and vascular pathologies during the preclinical stages of dementia such as structural magnetic resonance imaging, positron emission tomography, and white matter hyperintensities. We also describe some emerging neuroimaging techniques such as arterial spin labeling, diffusion tensor imaging, and quantitative susceptibility mapping. Recent literature suggests that structural imaging may be the most sensitive and cost-effective marker to detect cognitive decline, while molecular positron emission tomography is primarily useful for detecting disease specific pathology later in the disease process. Currently, the presence of vascular disease on magnetic resonance imaging provides a potential target for optimizing vascular risk reduction strategies, and the presence of vascular disease may be useful when combined with molecular and metabolic markers of neurodegeneration for identifying the risk of cognitive impairment.
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Affiliation(s)
- Morgan J Schaeffer
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | - Leona Chan
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | - Philip A Barber
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
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Lugtmeijer S, Lammers NA, de Haan EHF, de Leeuw FE, Kessels RPC. Post-Stroke Working Memory Dysfunction: A Meta-Analysis and Systematic Review. Neuropsychol Rev 2020; 31:202-219. [PMID: 33230717 PMCID: PMC7889582 DOI: 10.1007/s11065-020-09462-4] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Accepted: 10/07/2020] [Indexed: 12/16/2022]
Abstract
This review investigates the severity and nature of post-stroke working memory deficits with reference to the multi-component model of working memory. We conducted a systematic search in PubMed up to March 2019 with search terms for stroke and memory. Studies on adult stroke patients, that included a control group, and assessed working memory function, were selected. Effect sizes (Hedges' g) were extracted from 50 studies (in total 3,084 stroke patients) based on the sample size, mean and standard deviation of patients and controls. Performance of stroke patients was compared to healthy controls on low-load (i.e. capacity) and high-load (executively demanding) working memory tasks, grouped by modality (verbal, non-verbal). A separate analysis compared patients in the sub-acute and the chronic stage. Longitudinal studies and effects of lesion location were systematically reviewed. Stroke patients demonstrated significant deficits in working memory with a moderate effect size for both low-load (Hedges' g = -.58 [-.82 to -.43]) and high-load (Hedges' g = -.59 [-.73 to -.45]) tasks. The effect sizes were comparable for verbal and non-verbal material. Systematically reviewing the literature showed that working memory deficits remain prominent in the chronic stage of stroke. Lesions in a widespread fronto-parietal network are associated with working memory deficits. Stroke patients show decrements of moderate magnitude in all subsystems of working memory. This review clearly demonstrates the global nature of the impairment in working memory post-stroke.
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Affiliation(s)
- Selma Lugtmeijer
- University of Amsterdam, Amsterdam, the Netherlands. .,Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands.
| | | | | | - Frank-Erik de Leeuw
- Radboud University Medical Center, Department of Neurology, Nijmegen, the Netherlands
| | - Roy P C Kessels
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands.,Department of Medical Psychology, Radboud University Medical Center, Nijmegen, the Netherlands
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Growth Hormone Treatment Promotes Remote Hippocampal Plasticity after Experimental Cortical Stroke. Int J Mol Sci 2020; 21:ijms21124563. [PMID: 32604953 PMCID: PMC7349868 DOI: 10.3390/ijms21124563] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 06/22/2020] [Accepted: 06/25/2020] [Indexed: 01/28/2023] Open
Abstract
Cognitive impairment is common after stroke, and disturbances in hippocampal function are often involved, even in remote non-hippocampal injuries. In terms of hippocampal function, growth hormone (GH) is known to affects plasticity and cognition. We aimed to investigate whether GH treatment after an experimental cortical stroke could enhance remote hippocampal plasticity and the hippocampal-dependent visual discrimination task. C57BL6 male mice were subjected to cortical photothrombotic stroke. Stroke mice were then treated with either saline or GH at 48 h after occlusion for 28 days. We assessed learning and memory using mouse touchscreen platform for the visual discrimination task. We also evaluated markers of neural progenitor cells, synaptic plasticity and cerebrovascular remodelling in the hippocampal formation. GH treatment significantly improved the performance on visual discrimination task after stroke. We observed a concomitant increased number of bromodeoxyuridine-positive cells in the dentate gyrus of the hippocampus. We also detected increased protein levels and density of doublecortin, a neuronal precursor cells marker, as well as glutamate receptor 1 (GLuR1), a synaptic marker. These findings provide further neurobiological evidence for how GH treatment could be used to promote hippocampal plasticity in a remote region from the initial cortical injury, and thus enhance cognitive recovery after stroke.
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Hagberg G, Ihle-Hansen H, Fure B, Thommessen B, Ihle-Hansen H, Øksengård AR, Beyer MK, Wyller TB, Müller EG, Pendlebury ST, Selnes P. No evidence for amyloid pathology as a key mediator of neurodegeneration post-stroke - a seven-year follow-up study. BMC Neurol 2020; 20:174. [PMID: 32384876 PMCID: PMC7206753 DOI: 10.1186/s12883-020-01753-w] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Accepted: 04/29/2020] [Indexed: 12/24/2022] Open
Abstract
Background Cognitive impairment (CI) with mixed vascular and neurodegenerative pathologies after stroke is common. The role of amyloid pathology in post-stroke CI is unclear. We hypothesize that amyloid deposition, measured with Flutemetamol (18F-Flut) positron emission tomography (PET), is common in seven-year stroke survivors diagnosed with CI and, further, that quantitatively assessed 18F-Flut-PET uptake after 7 years correlates with amyloid-β peptide (Aβ42) levels in cerebrospinal fluid (CSF) at 1 year, and with measures of neurodegeneration and cognition at 7 years post-stroke. Methods 208 patients with first-ever stroke or transient Ischemic Attack (TIA) without pre-existing CI were included during 2007 and 2008. At one- and seven-years post-stroke, cognitive status was assessed, and categorized into dementia, mild cognitive impairment or normal. Etiologic sub-classification was based on magnetic resonance imaging (MRI) findings, CSF biomarkers and clinical cognitive profile. At 7 years, patients were offered 18F-Flut-PET, and amyloid-positivity was assessed visually and semi-quantitatively. The associations between 18F-Flut-PET standardized uptake value ratios (SUVr) and measures of neurodegeneration (medial temporal lobe atrophy (MTLA), global cortical atrophy (GCA)) and cognition (Mini-Mental State Exam (MMSE), Trail-making test A (TMT-A)) and CSF Aβ42 levels were assessed using linear regression. Results In total, 111 patients completed 7-year follow-up, and 26 patients agreed to PET imaging, of whom 13 had CSF biomarkers from 1 year. Thirteen out of 26 patients were diagnosed with CI 7 years post-stroke, but only one had visually assessed amyloid positivity. CSF Aβ42 levels at 1 year, MTA grade, GCA scale, MMSE score or TMT-A at 7 years did not correlate with 18F-Flut-PET SUVr in this cohort. Conclusions Amyloid binding was not common in 7-year stroke survivors diagnosed with CI. Quantitatively assessed, cortical amyloid deposition did not correlate with other measures related to neurodegeneration or cognition. Therefore, amyloid pathology may not be a key mediator of neurodegeneration 7 years post-stroke. Trial registration Clinicaltrials.gov (NCT00506818). July 23, 2007. Inclusion from February 2007, randomization and intervention from May 2007 and trial registration in July 2007.
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Affiliation(s)
- Guri Hagberg
- Bærum Hospital, Vestre Viken Hospital Trust, N-3004, Drammen, Norway. .,Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
| | - Hege Ihle-Hansen
- Bærum Hospital, Vestre Viken Hospital Trust, N-3004, Drammen, Norway.,Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
| | - Brynjar Fure
- Department of Neurology, Department of Internal Medicine, Central Hospital Karlstad and Faculty of Medicine, Örebro University, Örebro, Sweden
| | - Bente Thommessen
- Department of Neurology, Akershus University Hospital, Oslo, Norway
| | - Håkon Ihle-Hansen
- Bærum Hospital, Vestre Viken Hospital Trust, N-3004, Drammen, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | | | - Mona K Beyer
- Division of Radiology, Nuclear Medicine Oslo University Hospital, Oslo, Norway
| | - Torgeir B Wyller
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
| | - Ebba Gløersen Müller
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Sarah T Pendlebury
- Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.,NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
| | - Per Selnes
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Neurology, Akershus University Hospital, Oslo, Norway
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van den Berg E, Geerlings MI, Biessels GJ, Nederkoorn PJ, Kloppenborg RP. White Matter Hyperintensities and Cognition in Mild Cognitive Impairment and Alzheimer's Disease: A Domain-Specific Meta-Analysis. J Alzheimers Dis 2019; 63:515-527. [PMID: 29630548 DOI: 10.3233/jad-170573] [Citation(s) in RCA: 79] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
BACKGROUND White matter hyperintensities (WMHs) are related to cognitive dysfunction in the general population. The clinical relevance of WMHs in patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI) is, however, unclear. OBJECTIVE This meta-analysis aimed to quantify the association of WMHs and specific cognitive domains in patients with MCI or AD. METHODS PubMed (January 1990-January 2017) was searched for studies that used MRI to quantify WMHs, and measured cognitive functioning (≥1 predefined cognitive domain with ≥1 test) in a well-defined population of persons diagnosed with MCI or AD. Fischer's Z was used as the common metric for effect size. Modifying effects of demographics, MMSE, and WMH location were examined. RESULTS Twelve cross-sectional studies on AD (total n = 1,370, median age 75 years) and 10 studies on MCI (9 cross-sectional, 1 longitudinal; total n = 2,286, median age 73 years) were included. The association between WMHs and overall cognition was significantly stronger for MCI (-0.25, -0.36 to -0.14) than for AD (-0.11, -0.14 to -0.08; QM = 10.7, p < 0.05). For both groups, largest effect sizes were found in attention and executive functions (-0.26, -0.36 to -0.15) and processing speed (-0.21, -0.35 to -0.12). No significant modifying effects of age and gender were found. CONCLUSION WMHs have a medium-sized association with different cognitive functions in patients with MCI and a small, but statistically significant, association with cognition in AD. These result underscore the role of co-occurring vascular brain damage in MCI and AD.
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Affiliation(s)
- Esther van den Berg
- Department of Neurology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Mirjam I Geerlings
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Geert Jan Biessels
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Paul J Nederkoorn
- Department of Neurology, Academic Medical Center, Amsterdam, The Netherlands
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Kalheim LF, Fladby T, Coello C, Bjørnerud A, Selnes P. [18F]-Flutemetamol Uptake in Cortex and White Matter: Comparison with Cerebrospinal Fluid Biomarkers and [18F]-Fludeoxyglucose. J Alzheimers Dis 2019; 62:1595-1607. [PMID: 29504529 PMCID: PMC6218124 DOI: 10.3233/jad-170582] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Flutemetamol (18F-Flut) is an [18F]-labelled amyloid PET tracer with increasing availability. The main objectives of this study were to investigate 1) cerebrospinal fluid (CSF) Aβ 1-42 (Aβ42) concentrations associated with regional 18F-Flut uptake, 2) associations between cortical 18F-Flut and [18F]-fludeoxyglucose (18F-FDG)-PET, and 3) the potential use of 18F-Flut in WM pathology. Cognitively impaired, nondemented subjects were recruited (n = 44). CSF was drawn, and 18F-Flut-PET, 18F-FDG-PET, and MRI performed. Our main findings were: 1) Different Alzheimer’s disease predilection areas showed increased 18F-Flut retention at different CSF Aβ42 concentrations (posterior regions were involved at higher concentrations). 2) There were strong negative correlations between regional cortical 18F-Flut and 18F-FDG uptake. 3) Increased 18F-Flut uptake were observed in multiple subcortical regions in amyloid positive subjects, including investigated reference regions. However, WM hyperintensity 18F-Flut standardized uptake value ratios (SUVr) were not significantly different, thus we cannot definitely conclude that the higher uptake in 18F-Flut(+) is due to amyloid deposition. In conclusion, our findings support clinical use of CSF Aβ42, putatively relate decreasing CSF Aβ42 concentrations to a sequence of regional amyloid deposition, and associate amyloid pathology to cortical hypometabolism. However, we cannot conclude that 18F-Flut-PET is a suitable marker for WM pathology due to high aberrant WM uptake.
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Affiliation(s)
- Lisa Flem Kalheim
- Department of Neurology, Akershus University Hospital, L-renskog, Norway.,Institute of Clinical Medicine, Campus Ahus, University of Oslo, Oslo, Norway
| | - Tormod Fladby
- Department of Neurology, Akershus University Hospital, L-renskog, Norway.,Institute of Clinical Medicine, Campus Ahus, University of Oslo, Oslo, Norway
| | - Christopher Coello
- Preclinical PET/CT, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Atle Bjørnerud
- The Intervention Centre, Oslo University Hospital, Oslo, Norway
| | - Per Selnes
- Department of Neurology, Akershus University Hospital, L-renskog, Norway.,Institute of Clinical Medicine, Campus Ahus, University of Oslo, Oslo, Norway
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11
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Haque ME, Gabr RE, Hasan KM, George S, Arevalo OD, Zha A, Alderman S, Jeevarajan J, Mas MF, Zhang X, Satani N, Friedman ER, Sitton CW, Savitz S. Ongoing Secondary Degeneration of the Limbic System in Patients With Ischemic Stroke: A Longitudinal MRI Study. Front Neurol 2019; 10:154. [PMID: 30890995 PMCID: PMC6411642 DOI: 10.3389/fneur.2019.00154] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Accepted: 02/06/2019] [Indexed: 01/08/2023] Open
Abstract
Purpose: Ongoing post-stroke structural degeneration and neuronal loss preceding neuropsychological symptoms such as cognitive decline and depression are poorly understood. Various substructures of the limbic system have been linked to cognitive impairment. In this longitudinal study, we investigated the post-stroke macro- and micro-structural integrity of the limbic system using structural and diffusion tensor magnetic resonance imaging. Materials and Methods: Nineteen ischemic stroke patients (11 men, 8 women, average age 53.4 ± 12.3, range 18–75 years), with lesions remote from the limbic system, were serially imaged three times over 1 year. Structural and diffusion-tensor images (DTI) were obtained on a 3.0 T MRI system. The cortical thickness, subcortical volume, mean diffusivity (MD), and fractional anisotropy (FA) were measured in eight different regions of the limbic system. The National Institutes of Health Stroke Scale (NIHSS) was used for clinical assessment. A mixed model for multiple factors was used for statistical analysis, and p-values <0.05 was considered significant. Results: All patients demonstrated improved NIHSS values over time. The ipsilesional subcortical volumes of the thalamus, hippocampus, and amygdala significantly decreased (p < 0.05) and MD significantly increased (p < 0.05). The ipsilesional cortical thickness of the entorhinal and perirhinal cortices was significantly smaller than the contralesional hemisphere at 12 months (p < 0.05). The cortical thickness of the cingulate gyrus at 12 months was significantly decreased at the caudal and isthmus regions as compared to the 1 month assessment (p < 0.05). The cingulum fibers had elevated MD at the ipsilesional caudal-anterior and posterior regions compared to the corresponding contralesional regions. Conclusion: Despite the decreasing NIHSS scores, we found ongoing unilateral neuronal loss/secondary degeneration in the limbic system, irrespective of the lesion location. These results suggest a possible anatomical basis for post stroke psychiatric complications.
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Affiliation(s)
- Muhammad E Haque
- Institute for Stroke and Cerebrovascular Diseases, University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Refaat E Gabr
- Diagnostic and Interventional Imaging, University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Khader M Hasan
- Diagnostic and Interventional Imaging, University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Sarah George
- Institute for Stroke and Cerebrovascular Diseases, University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Octavio D Arevalo
- Diagnostic and Interventional Imaging, University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Alicia Zha
- Institute for Stroke and Cerebrovascular Diseases, University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Susan Alderman
- Institute for Stroke and Cerebrovascular Diseases, University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Jerome Jeevarajan
- Institute for Stroke and Cerebrovascular Diseases, University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Manual F Mas
- TIRR Memorial Hermann Rehabilitation and Research, Houston, TX, United States
| | - Xu Zhang
- Biostatistics/Epidemiology/Research Design Component, Center for Clinical and Translational Sciences, McGovern Medical School at University of Texas Health Science Center at Houston (UTHealth), Houston, TX, United States
| | - Nikunj Satani
- Institute for Stroke and Cerebrovascular Diseases, University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Elliott R Friedman
- Diagnostic and Interventional Imaging, University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Clark W Sitton
- Diagnostic and Interventional Imaging, University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Sean Savitz
- Institute for Stroke and Cerebrovascular Diseases, University of Texas Health Science Center at Houston, Houston, TX, United States
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12
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Rincón M, Díaz-López E, Selnes P, Vegge K, Altmann M, Fladby T, Bjørnerud A. Improved Automatic Segmentation of White Matter Hyperintensities in MRI Based on Multilevel Lesion Features. Neuroinformatics 2018; 15:231-245. [PMID: 28378263 DOI: 10.1007/s12021-017-9328-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Brain white matter hyperintensities (WMHs) are linked to increased risk of cerebrovascular and neurodegenerative diseases among the elderly. Consequently, detection and characterization of WMHs are of significant clinical importance. We propose a novel approach for WMH segmentation from multi-contrast MRI where both voxel-based and lesion-based information are used to improve overall performance in both volume-oriented and object-oriented metrics. Our segmentation method (AMOS-2D) consists of four stages following a "generate-and-test" approach: pre-processing, Gaussian white matter (WM) modelling, hierarchical multi-threshold WMH segmentation and object-based WMH filtering using support vector machines. Data from 28 subjects was used in this study covering a wide range of lesion loads. Volumetric T1-weighted images and 2D fluid attenuated inversion recovery (FLAIR) images were used as basis for the WM model and lesion masks defined manually in each subject by experts were used for training and evaluating the proposed method. The method obtained an average agreement (in terms of the Dice similarity coefficient, DSC) with experts equivalent to inter-expert agreement both in terms of WMH number (DSC = 0.637 vs. 0.651) and volume (DSC = 0.743 vs. 0.781). It allowed higher accuracy in detecting WMH compared to alternative methods tested and was further found to be insensitive to WMH lesion burden. Good agreement with expert annotations combined with stable performance largely independent of lesion burden suggests that AMOS-2D will be a valuable tool for fully automated WMH segmentation in patients with cerebrovascular and neurodegenerative pathologies.
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Affiliation(s)
- M Rincón
- Department of Artificial Intelligence, UNED, Madrid, Spain.
| | - E Díaz-López
- Department of Artificial Intelligence, UNED, Madrid, Spain
| | - P Selnes
- Department of Neurology, Akershus University Hospital, Oslo, Norway
| | - K Vegge
- Department of Radiology, Akershus University Hospital, Oslo, Norway
| | - M Altmann
- Department of Neurology, Akershus University Hospital, Oslo, Norway
| | - T Fladby
- Department of Neurology, Akershus University Hospital, Oslo, Norway
| | - A Bjørnerud
- The Intervention Centre, Oslo University Hospital, Oslo, Norway
- Department of Physics, University of Oslo, Oslo, Norway
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13
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Selnes P, Stav AL, Johansen KK, Bjørnerud A, Coello C, Auning E, Kalheim L, Almdahl IS, Hessen E, Zetterberg H, Blennow K, Aarsland D, Fladby T. Impaired synaptic function is linked to cognition in Parkinson's disease. Ann Clin Transl Neurol 2017; 4:700-713. [PMID: 29046879 PMCID: PMC5634342 DOI: 10.1002/acn3.446] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2017] [Accepted: 07/05/2017] [Indexed: 12/12/2022] Open
Abstract
Objective Cognitive impairment is frequent in Parkinson's disease, but the underlying mechanisms are insufficiently understood. Because cortical metabolism is reduced in Parkinson's disease and closely associated with cognitive impairment, and CSF amyloid‐β species are reduced and correlate with neuropsychological performance in Parkinson's disease, and amyloid‐β release to interstitial fluid may be related to synaptic activity; we hypothesize that synapse dysfunction links cortical hypometabolism, reduced CSF amyloid‐β, and presynaptic deposits of α‐synuclein. We expect a correlation between hypometabolism, CSF amyloid‐β, and the synapse related‐markers CSF neurogranin and α‐synuclein. Methods Thirty patients with mild‐to‐moderate Parkinson's disease and 26 healthy controls underwent a clinical assessment, lumbar puncture, MRI, 18F‐fludeoxyglucose‐PET, and a neuropsychological test battery (repeated for the patients after 2 years). Results All subjects had CSF amyloid‐β 1‐42 within normal range. In Parkinson's disease, we found strong significant correlations between cortical glucose metabolism, CSF Aβ, α‐synuclein, and neurogranin. All PET CSF biomarker‐based cortical clusters correlated strongly with cognitive parameters. CSF neurogranin levels were significantly lower in mild‐to‐moderate Parkinson's disease compared to controls, correlated with amyloid‐β and α‐synuclein, and with motor stage. There was little change in cognition after 2 years, but the cognitive tests that were significantly different, were also significantly associated with cortical metabolism. No such correlations were found in the control group. Interpretation CSF Aβ, α‐synuclein, and neurogranin concentrations are related to cortical metabolism and cognitive decline. Synaptic dysfunction due to Aβ and α‐synuclein dysmetabolism may be central in the evolution of cognitive impairment in Parkinson's disease.
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Affiliation(s)
- Per Selnes
- Department of Neurology Akershus University Hospital Lørenskog Norway.,Institute of Clinical Medicine University of Oslo Campus Ahus Oslo Norway
| | - Ane Løvli Stav
- Department of Neurology Akershus University Hospital Lørenskog Norway.,Institute of Clinical Medicine University of Oslo Campus Ahus Oslo Norway
| | | | - Atle Bjørnerud
- Department of Diagnostic Physics Oslo University Hospital, Rikshospitalet Oslo Norway.,Department of Physics University of Oslo Oslo Norway
| | - Christopher Coello
- Neural Systems Laboratory Institute of Basic Medical Sciences University of Oslo Oslo Norway
| | - Eirik Auning
- Institute of Clinical Medicine University of Oslo Campus Ahus Oslo Norway.,Department of Geriatric Psychiatry Akershus University Hospital Lørenskog Norway
| | - Lisa Kalheim
- Department of Neurology Akershus University Hospital Lørenskog Norway.,Institute of Clinical Medicine University of Oslo Campus Ahus Oslo Norway
| | - Ina Selseth Almdahl
- Department of Neurology Akershus University Hospital Lørenskog Norway.,Institute of Clinical Medicine University of Oslo Campus Ahus Oslo Norway
| | - Erik Hessen
- Institute of Clinical Medicine University of Oslo Campus Ahus Oslo Norway.,Department of Psychology University of Oslo Oslo Norway
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry Institute of Neuroscience and Physiology the Sahlgrenska Academy at the University of Gothenburg Mölndal Sweden.,Clinical Neurochemistry Laboratory Sahlgrenska University Hospital Mölndal Sweden.,Department of Molecular Neuroscience UCL Institute of Neurology Queen Square London United Kingdom.,UK Dementia Research Institute London United Kingdom
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry Institute of Neuroscience and Physiology the Sahlgrenska Academy at the University of Gothenburg Mölndal Sweden.,Clinical Neurochemistry Laboratory Sahlgrenska University Hospital Mölndal Sweden
| | - Dag Aarsland
- Department of Neurology Akershus University Hospital Lørenskog Norway.,Department of Old Age Psychiatry Institute of Psychiatry Psychology and Neuroscience King's College London London United Kingdom.,Center for Age-Related Diseases Stavanger University Hospital Stavanger Norway
| | - Tormod Fladby
- Department of Neurology Akershus University Hospital Lørenskog Norway.,Institute of Clinical Medicine University of Oslo Campus Ahus Oslo Norway
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14
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Ihle-Hansen H, Hagberg G, Fure B, Thommessen B, Fagerland MW, Øksengård AR, Engedal K, Selnes P. Association between total-Tau and brain atrophy one year after first-ever stroke. BMC Neurol 2017; 17:107. [PMID: 28583116 PMCID: PMC5460365 DOI: 10.1186/s12883-017-0890-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Accepted: 05/29/2017] [Indexed: 11/27/2022] Open
Abstract
Background Although the most serious consequence of neuronal ischemia is acute neuronal death, mounting evidence suggests similarities between stroke and neurodegenerative disease. Brain atrophy visualized on structural MRI and pathological cerebrospinal fluid (CSF) concentrations of microtubule-associated protein tau (T-tau) and phosphorylated microtubule-associated protein tau indicate neurofibrillary degeneration. We aimed to explore the association between CSF T-tau and brain atrophy 1 year post-stroke. Methods We included 210 patients with first-ever ischemic stroke or transitory ischemic attack without pre-existing cognitive impairment. After 12 months, subjects underwent MRI, and CSF biomarkers were assessed. Using SIENAX (part of FSL), ventricular CSF volume and total brain volume were estimated and normalized for subject head size. The association between T-tau as explanatory variable and ventricular and total brain volume as outcome variables were studied using linear regression. Results One hundred eighty-two patients completed the follow-up. Forty-four had a lumbar puncture. Of these, 31 had their MRI with identical scan parameters. Mean age was 70.2 years (SD 11.7). Ventricular volume on MRI was significantly associated with age, but not with gender. In the multiple regression model, there was a significant association between T-tau and both ventricular (beta 0.44, 95% CI 376.3, 394.9, p = 0.021) and global brain volume (beta −0.50, 95% CI −565.9, −78.3, p = 0.011). There was no significant association between CSF T-tau 1 year post-stroke and baseline volumes. Conclusion T-tau measured 1 year post-stroke is associated with measures of brain atrophy. The findings indicate that acute stroke may enhance or trigger tau-linked neurodegeneration with loss of neurons. Trial registration Clinicaltrials.gov NCT00506818, July 23, 2007. Inclusion from February 2007, randomization and intervention from May 2007 and trial registration in July 2007.
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Affiliation(s)
- Hege Ihle-Hansen
- Department of Internal medicine, Vestre Viken Hospital Trust, Baerum Hospital, Norway, 3004, Drammen, Norway.
| | - Guri Hagberg
- Department of Internal medicine, Vestre Viken Hospital Trust, Baerum Hospital, Norway, 3004, Drammen, Norway
| | - Brynjar Fure
- Norwegian Knowledge Centre for the Health Services, Oslo, Norway
| | - Bente Thommessen
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
| | - Morten W Fagerland
- Unit of Biostatistics and Epidemiology, Oslo University Hospital, Oslo, Norway
| | - Anne R Øksengård
- Department of Internal medicine, Vestre Viken Hospital Trust, Baerum Hospital, Norway, 3004, Drammen, Norway
| | - Knut Engedal
- Norwegian Centre for Dementia Research, Oslo University Hospital, Oslo, Norway
| | - Per Selnes
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
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15
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Kalheim LF, Bjørnerud A, Fladby T, Vegge K, Selnes P. White matter hyperintensity microstructure in amyloid dysmetabolism. J Cereb Blood Flow Metab 2017; 37:356-365. [PMID: 26792028 PMCID: PMC5363752 DOI: 10.1177/0271678x15627465] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2015] [Revised: 12/10/2015] [Accepted: 12/14/2015] [Indexed: 01/27/2023]
Abstract
Accumulating evidence suggests associations between cerebrovascular disease (CVD) and Alzheimer's disease (AD). White matter hyperintensities of presumed vascular origin (WMHs) are increased in subjects with mild cognitive impairment (MCI) and AD, but the exact pathomechanistic link is unknown. The current study investigated effects of amyloid dysmetabolism on the microstructure of WMHs in subjects with MCI or subjective cognitive decline (N = 51), dichotomized according to pathological or normal levels of amyloid-β peptide (Aβ42) in cerebrospinal fluid (CSF). Thirty-one subjects with low CSF Aβ42 (Aβ+) and 20 subjects with normal CSF Aβ42 (Aβ-) were assessed with magnetic resonance diffusion tensor imaging (DTI), and fractional anisotropy (FA), radial diffusivity (DR), axial diffusivity (DA), and mean diffusivity (MD) were determined. There were no significant differences in WMH volume or distribution between the groups, and neither age nor WMH volume had significant impact on the DTI indices. Nevertheless, there were significantly higher DA, DR, and MD in WMHs in Aβ+ relative to Aβ-; however, no differences in FA were found. The present results suggest that amyloid accumulation is associated with impaired structural integrity (e.g. relating to more extensive demyelination and loss of axons) in WMHs putatively adding to effects of ischemia.
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Affiliation(s)
- Lisa F Kalheim
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
- Institute of Clinical Medicine, Campus Ahus, University of Oslo, Oslo, Norway
| | - Atle Bjørnerud
- The Intervention Centre, Oslo University Hospital, Oslo, Norway
| | - Tormod Fladby
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
- Institute of Clinical Medicine, Campus Ahus, University of Oslo, Oslo, Norway
| | - Kjetil Vegge
- Department of Radiology, Akershus University Hospital, Lørenskog, Norway
| | - Per Selnes
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
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