1
|
Li JX, Zhong QQ, Zhu T, Jin YL, Pan J, Yuan SX, Zhu F. Associations of cognitive impairment and longitudinal change in cognitive function with the risk of fatal stroke in middle-aged to older Chinese. Heliyon 2024; 10:e29353. [PMID: 38655351 PMCID: PMC11035061 DOI: 10.1016/j.heliyon.2024.e29353] [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] [Received: 10/26/2023] [Revised: 03/28/2024] [Accepted: 04/05/2024] [Indexed: 04/26/2024] Open
Abstract
It is unclear whether cognitive impairment and the longitudinal change in cognition are associated with the risk of fatal stroke in aging populations. Based on the Guangzhou Biobank Cohort Study data a sum of 26,064 participants at baseline and all deaths caused by stroke in a mean follow-up of 14.3 years (standard deviation = 3.2) were included, and the Cox proportional hazard regression was used in this prospective cohort study. Cognitive impairment was respectively associated with an increased risk of fatal strokes (the adjusted hazard ratio (aHR) = 1.38, 95% CI1.16-1.64, P < 0.001) and fatal ischaemic stroke (aHR = 1.39, 95% CI1.10-1.77, P = 0.007), compared to median cognition; the Delayed Word Recall Test (DWRT) score was associated with a decreasing trend for the risk of fatal strokes in a restricted cubic spline analysis; the longitudinal DWRT score decline was associated with the increased risks of fatal strokes (aHR = 1.42, 95% CI 1.11-1.82, P = 0.006) and fatal haemorrhagic stroke (aHR = 1.75, 95% CI 1.10-2.78, P = 0.02), compared to the longitudinal DWRT score rise. In summary, cognitive impairment and the longitudinal decline in DWRT scores were associated with the increased risk of fatal strokes; early screening of cognitive function should be conducive to predictive intervention in fatal stroke among relatively healthy middle-aged to older populations.
Collapse
Affiliation(s)
- Jun-xiao Li
- Central Laboratory, Guangzhou Twelfth People's Hospital, Guangzhou, China
- Departments of Public Health and Preventive Medicine, Jinan University, Guangzhou, China
| | - Qiong-qiong Zhong
- Departments of Public Health and Preventive Medicine, Jinan University, Guangzhou, China
| | - Tong Zhu
- Department of Science and Education, Guangzhou Twelfth People's Hospital, Guangzhou, China
| | - Ya-li Jin
- Department of Science and Education, Guangzhou Twelfth People's Hospital, Guangzhou, China
| | - Jing Pan
- Department of Science and Education, Guangzhou Twelfth People's Hospital, Guangzhou, China
| | - Shi-xiang Yuan
- Department of Neurosurgery, Guangzhou Twelfth People's Hospital, Guangzhou, China
| | - Feng Zhu
- Central Laboratory, Guangzhou Twelfth People's Hospital, Guangzhou, China
- Departments of Public Health and Preventive Medicine, Jinan University, Guangzhou, China
| |
Collapse
|
2
|
Wu B, Guo S, Jia X, Geng Z, Yang Q. White Matter Microstructural Alterations over the Year after Acute Ischemic Stroke in Patients with Baseline Impaired Cognitive Functions. Neural Plast 2023; 2023:6762225. [PMID: 37456365 PMCID: PMC10348854 DOI: 10.1155/2023/6762225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Revised: 05/14/2023] [Accepted: 06/13/2023] [Indexed: 07/18/2023] Open
Abstract
Background The disruption of white matter (WM) integrity is related to poststroke cognitive impairment (PSCI). The exploration of WM integrity alterations in the chronic stage of acute ischemic stroke (AIS) may help to improve the long-term outcomes of PSCI. Methods Sixty patients showing impaired cognitive functions within 3 days after AIS (baseline) and 25 healthy controls underwent diffusion kurtosis imaging scan and cognitive assessment at baseline and 1 year. Based on the tract-based spatial statistics (TBSS), kurtosis fractional anisotropy (KFA) and mean kurtosis (MK) were compared in WM tracts between the groups. Results One year after AIS, 25 patients were diagnosed with PSCI and 35 patients with non-cognitive impairment (NCI). Compared with baseline, cognitive performance improved in 54 patients and remained unchanged in 6 patients at 1 year. TBSS analysis showed that there were no significant differences in WM tract integrity between the AIS and control groups at baseline (P > 0.05). Compared with the control group, the KFA and MK in multiple WM tracts in the AIS group decreased significantly at 1 year (P < 0.05). Longitudinal analysis showed that the KFA and MK of multiple WM tracts recorded at 1 year were significantly lower than those recorded at baseline in the AIS, PSCI, and NCI groups (P < 0.05), and PSCI group had a faster degeneration than NCI group (P < 0.05). Conclusion The finding suggests that the patients with baseline impaired cognitive functions still have WM microstructural damages at 1 year poststroke, even if their cognitive function has improved or returned to normal. Cautions should be taken against the possible negative impact of these changes on long-term cognition.
Collapse
Affiliation(s)
- Bingyuan Wu
- Department of Radiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - Shida Guo
- Department of Radiology, The Second Hospital of Hebei Medical University, Shijiazhuang 050000, Hebei, China
| | - Xiuqin Jia
- Department of Radiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - Zuojun Geng
- Department of Radiology, The Second Hospital of Hebei Medical University, Shijiazhuang 050000, Hebei, China
| | - Qi Yang
- Department of Radiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| |
Collapse
|
3
|
Askim T, Hokstad A, Bergh E, Døhl Ø, Ellekjær H, Ihle-Hansen H, Indredavik B, Leer ASM, Lydersen S, Saltvedt I, Seljeseth Y, Thommessen B. Multimodal individualised intervention to prevent functional decline after stroke: protocol of a randomised controlled trial on long-term follow-up after stroke (LAST-long). BMJ Open 2023; 13:e069656. [PMID: 37164457 PMCID: PMC10173970 DOI: 10.1136/bmjopen-2022-069656] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/12/2023] Open
Abstract
INTRODUCTION Multimodal interventions have emerged as new approaches to provide more targeted intervention to reduce functional decline after stroke. Still, the evidence is contradictory. The main objective of the Life After Stroke (LAST)-long trial is to investigate if monthly meetings with a stroke coordinator who offers a multimodal approach to long-term follow-up can prevent functional decline after stroke. METHODS AND ANALYSIS LAST-long is a pragmatic single-blinded, parallel-group randomised controlled trial recruiting participants living in six different municipalities, admitted to four hospitals in Norway. The patients are screened for inclusion and recruited into the trial 3 months after stroke. A total of 300 patients fulfilling the inclusion criteria will be randomised to an intervention group receiving monthly follow-up by a community-based stroke coordinator who identifies the participants' individual risk profile and sets up an action plan based on individual goals, or to a control group receiving standard care. All participants undergo blinded assessments at 6-month, 12-month and 18-month follow-up. Modified Rankin Scale at 18 months is primary outcome. Secondary outcomes are results of blood tests, blood pressure, adherence to secondary prophylaxis, measures of activities of daily living, cognitive function, physical function, physical activity, patient reported outcome measures, caregiver's burden, the use and costs of health services, safety measures and measures of adherence to the intervention. Mixed models will be used to evaluate differences between the intervention and control group for all endpoints across the four time points, with treatment group, time as categorical covariates and their interaction as fixed effects, and patient as random effect. ETHICS AND DISSEMINATION This trial was approved by the Regional Committee of Medical and Health Research Ethics, REC no. 2018/1809. The main results will be published in international peer-reviewed open access scientific journals and to policy-makers and end users in relevant channels. TRIAL REGISTRATION NUMBER ClincalTrials.gov Identifier: NCT03859063, registered on 1 March 2019.
Collapse
Affiliation(s)
- Torunn Askim
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
| | - Anne Hokstad
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
| | - Elin Bergh
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
- Department of Neurology, Akershus University Hospital, Lorenskog, Norway
| | - Øystein Døhl
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
- Department of Finance, Trondheim Municipality, Trondheim, Norway
| | - Hanne Ellekjær
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
- Department of Stroke, Clinic of Medicine, St Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | | | - Bent Indredavik
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
- Department of Stroke, Clinic of Medicine, St Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Anne Silja Mäkitalo Leer
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
- Department of Health and Social Services, Trondheim Municipality, Trondheim, Norway
| | - Stian Lydersen
- Department of Mental Health, Faculty of Medicine and Health Sciences, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
| | - Ingvild Saltvedt
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
- Department of Geriatric Medicine, St Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Yngve Seljeseth
- Department of Medicine, Ålesund Hospital, Helse More og Romsdal HF, Ålesund, Norway
| | - Bente Thommessen
- Department of Neurology, Akershus University Hospital, Lorenskog, Norway
| |
Collapse
|
4
|
Longitudinal brain age prediction and cognitive function after stroke. Neurobiol Aging 2023; 122:55-64. [PMID: 36502572 DOI: 10.1016/j.neurobiolaging.2022.10.007] [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: 03/25/2022] [Revised: 09/19/2022] [Accepted: 10/11/2022] [Indexed: 11/06/2022]
Abstract
Advanced age is associated with post-stroke cognitive decline. Machine learning based on brain scans can be used to estimate brain age of patients, and the corresponding difference from chronological age, the brain age gap (BAG), has been investigated in a range of clinical conditions, yet not thoroughly in post-stroke neurocognitive disorder (NCD). We aimed to investigate the association between BAG and post-stroke NCD over time. Lower BAG (younger appearing brain compared to chronological age) was found associated with lower risk of post-stroke NCD up to 36 months after stroke, even among those showing no evidence of impairments 3 months after hospital admission. For patients with no NCD at baseline, survival analysis suggested that higher baseline BAG was associated with higher risk of post-stroke NCD at 18 and 36 months. In conclusion, a younger appearing brain is associated with a lower risk of post-stroke NCD.
Collapse
|
5
|
Einstad MS, Schellhorn T, Thingstad P, Lydersen S, Aamodt EB, Beyer MK, Saltvedt I, Askim T. Neuroimaging markers of dual impairment in cognition and physical performance following stroke: The Nor-COAST study. Front Aging Neurosci 2022; 14:1037936. [PMID: 36561134 PMCID: PMC9765078 DOI: 10.3389/fnagi.2022.1037936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 11/16/2022] [Indexed: 12/12/2022] Open
Abstract
Background Cognitive decline and decline in physical performance are common after stroke. Concurrent impairments in the two domains are reported to give increased risk of dementia and functional decline. The concept of dual impairment of physical performance and cognition after stroke is poorly investigated. Clinically accessible imaging markers of stroke and pre-existing brain pathology might help identify patients at risk. Objective The primary aim of this study was to investigate to which extent pre-stroke cerebral pathology was associated with dual impairment in cognition and physical performance at time of stroke. Secondary aims were to examine whether white matter hyperintensities, medial temporal lobe atrophy, and stroke lesion volume and location were associated with dual impairment. Methods Participants from the Norwegian Cognitive Impairment After Stroke (Nor-COAST) study with available MRI data at baseline were included in this cross-sectional study. Logistic regression analyses were conducted, with impairment status (no impairment, impaired cognition, impaired physical performance, and dual impairment) as the dependent variable and MRI markers as covariates. Pre-existing brain pathologies were classified into neurodegenerative, cerebrovascular, or mixed pathology. In addition, white matter hyperintensities and medial temporal lobe atrophy were included as independent covariates. Stroke volume and location were also ascertained from study-specific MRI scans. Results Participants' (n = 348) mean (SD) age was 72.3 (11.3) years; 148 (42.5%) were women. Participants with dual impairment (n = 99) were significantly older, had experienced a more severe stroke, and had a higher comorbidity burden and poorer pre-stroke function. Stroke lesion volume (odds ratio 1.03, 95%, confidence interval 1.00 to 1.05, p = 0.035), but not stroke location or pre-existing brain pathology, was associated with dual impairment, after adjusting for age and sex. Conclusion In this large cohort of stroke survivors having suffered mainly mild to moderate stroke, stroke lesion volume-but not pre-existing brain pathology-was associated with dual impairment early after stroke, confirming the role of stroke severity in functional decline.
Collapse
Affiliation(s)
- Marte Stine Einstad
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, NTNU-Norwegian University of Science and Technology, Trondheim, Norway,*Correspondence: Marte Stine Einstad,
| | - Till Schellhorn
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Pernille Thingstad
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
| | - Stian Lydersen
- Department of Mental Health, Faculty of Medicine and Health Sciences, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
| | - Eva Birgitte Aamodt
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Mona Kristiansen Beyer
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Ingvild Saltvedt
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, NTNU-Norwegian University of Science and Technology, Trondheim, Norway,Department of Geriatric Medicine, St. Olavs hospital, Trondheim University Hospital, Trondheim, Norway
| | - Torunn Askim
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, NTNU-Norwegian University of Science and Technology, Trondheim, Norway,Stroke Unit, Department of Internal Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| |
Collapse
|
6
|
Aamodt EB, Lydersen S, Alnæs D, Schellhorn T, Saltvedt I, Beyer MK, Håberg A. Longitudinal Brain Changes After Stroke and the Association With Cognitive Decline. Front Neurol 2022; 13:856919. [PMID: 35720079 PMCID: PMC9204010 DOI: 10.3389/fneur.2022.856919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 05/16/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundCognitive impairment is common after stroke. So is cortical- and subcortical atrophy, with studies reporting more atrophy in the ipsilesional hemisphere than the contralesional hemisphere. The current study aimed to investigate the longitudinal associations between (I) lateralization of brain atrophy and stroke hemisphere, and (II) cognitive impairment and brain atrophy after stroke. We expected to find that (I) cortical thickness and hippocampal-, thalamic-, and caudate nucleus volumes declined more in the ipsilesional than the contralesional hemisphere up to 36 months after stroke. Furthermore, we predicted that (II) cognitive decline was associated with greater stroke volumes, and with greater cortical thickness and subcortical structural volume atrophy across the 36 months.MethodsStroke survivors from five Norwegian hospitals were included from the multisite-prospective “Norwegian Cognitive Impairment After Stroke” (Nor-COAST) study. Analyses were run with clinical, neuropsychological and structural magnetic resonance imaging (MRI) data from baseline, 18- and 36 months. Cortical thicknesses and subcortical volumes were obtained via FreeSurfer segmentations and stroke lesion volumes were semi-automatically derived using ITK-SNAP. Cognition was measured using MoCA.ResultsFindings from 244 stroke survivors [age = 72.2 (11.3) years, women = 55.7%, stroke severity NIHSS = 4.9 (5.0)] were included at baseline. Of these, 145 (59.4%) had an MRI scan at 18 months and 72 (49.7% of 18 months) at 36 months. Most cortices and subcortices showed a higher ipsi- compared to contralesional atrophy rate, with the effect being more prominent in the right hemisphere. Next, greater degrees of atrophy particularly in the medial temporal lobe after left-sided strokes and larger stroke lesion volumes after right-sided strokes were associated with cognitive decline over time.ConclusionAtrophy in the ipsilesional hemisphere was greater than in the contralesional hemisphere over time. This effect was found to be more prominent in the right hemisphere, pointing to a possible higher resilience to stroke of the left hemisphere. Lastly, greater atrophy of the cortex and subcortex, as well as larger stroke volume, were associated with worse cognition over time and should be included in risk assessments of cognitive decline after stroke.
Collapse
Affiliation(s)
- Eva B. Aamodt
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
- *Correspondence: Eva B. Aamodt
| | - Stian Lydersen
- Regional Centre for Child and Youth Mental Health and Child Welfare, Department of Mental Health, NTNU – Norwegian University of Science and Technology, Trondheim, Norway
| | - Dag Alnæs
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Till Schellhorn
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Ingvild Saltvedt
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU – Norwegian University of Science and Technology, Trondheim, Norway
- Department of Geriatrics, Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Mona K. Beyer
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Asta Håberg
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU – Norwegian University of Science and Technology, Trondheim, Norway
- Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| |
Collapse
|
7
|
Aamodt EB, Schellhorn T, Stage E, Sanjay AB, Logan PE, Svaldi DO, Apostolova LG, Saltvedt I, Beyer MK. Predicting the Emergence of Major Neurocognitive Disorder Within Three Months After a Stroke. Front Aging Neurosci 2021; 13:705889. [PMID: 34489676 PMCID: PMC8418065 DOI: 10.3389/fnagi.2021.705889] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 07/26/2021] [Indexed: 01/20/2023] Open
Abstract
Background: Neurocognitive disorder (NCD) is common after stroke, with major NCD appearing in about 10% of survivors of a first-ever stroke. We aimed to classify clinical- and imaging factors related to rapid development of major NCD 3 months after a stroke, so as to examine the optimal composition of factors for predicting rapid development of the disorder. We hypothesized that the prediction would mainly be driven by neurodegenerative as opposed to vascular brain changes. Methods: Stroke survivors from five Norwegian hospitals were included from the "Norwegian COgnitive Impairment After STroke" (Nor-COAST) study. A support vector machine (SVM) classifier was trained to distinguish between patients who developed major NCD 3 months after the stroke and those who did not. Potential predictor factors were based on previous literature and included both vascular and neurodegenerative factors from clinical and structural magnetic resonance imaging findings. Cortical thickness was obtained via FreeSurfer segmentations, and volumes of white matter hyperintensities (WMH) and stroke lesions were semi-automatically gathered using FSL BIANCA and ITK-SNAP, respectively. The predictive value of the classifier was measured, compared between classifier models and cross-validated. Results: Findings from 227 stroke survivors [age = 71.7 (11.3), males = (56.4%), stroke severity NIHSS = 3.8 (4.8)] were included. The best predictive accuracy (AUC = 0.876) was achieved by an SVM classifier with 19 features. The model with the fewest number of features that achieved statistically comparable accuracy (AUC = 0.850) was the 8-feature model. These features ranked by their weighting were; stroke lesion volume, WMH volume, left occipital and temporal cortical thickness, right cingulate cortical thickness, stroke severity (NIHSS), antiplatelet medication intake, and education. Conclusion: The rapid (<3 months) development of major NCD after stroke is possible to predict with an 87.6% accuracy and seems dependent on both neurodegenerative and vascular factors, as well as aspects of the stroke itself. In contrast to previous literature, we also found that vascular changes are more important than neurodegenerative ones. Although possible to predict with relatively high accuracy, our findings indicate that the development of rapid onset post-stroke NCD may be more complex than earlier suggested.
Collapse
Affiliation(s)
- Eva Birgitte Aamodt
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Till Schellhorn
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Edwin Stage
- Department of Neurology, School of Medicine, Indiana University, Indianapolis, IN, United States
| | - Apoorva Bharthur Sanjay
- Department of Neurology, School of Medicine, Indiana University, Indianapolis, IN, United States
| | - Paige E Logan
- Department of Neurology, School of Medicine, Indiana University, Indianapolis, IN, United States
| | - Diana Otero Svaldi
- Department of Neurology, School of Medicine, Indiana University, Indianapolis, IN, United States
| | - Liana G Apostolova
- Department of Neurology, School of Medicine, Indiana University, Indianapolis, IN, United States
| | - Ingvild Saltvedt
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU - Norwegian University of Science and Technology, Trondheim, Norway.,Department of Geriatrics, Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Mona Kristiansen Beyer
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| |
Collapse
|