- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06010511
WHIte MAtter Hyperintensity Shape and Glymphatics (WHIMAS)
White Matter Hyperintensity Shape and Glymphatics
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Aim:
The overall aim is to study how different pathological mechanisms in cerebral SVD influence WMH shape.
Primary objective:
To study the association of a more complex WMH shape with abnormalities in small vessel morphology.
Secondary objectives:
To study the association between WMH shape and cognition/other cerebral small vessel disease markers. To study the association of novel MRI markers of glymphatics with cerebral SVD markers and cognition.
Study design: Cross-sectional study that will be conducted at the Leiden University Medical Center (LUMC). Patients will be included from the LUMC or the Alrijne Hospital Leiden. The study contains 3T and 7T MRI scans, as well as neuropsychological assessments. The data will be analyzed by performing association analysis.
Study population: Patients of the memory/geriatric clinic that are over 65 years of age.
Main study parameter/endpoint: In order to postulate underlying mechanisms related to WMH shape variations the investigators will study the association between a more complex WMH shape and structural and functional markers of cerebral SVD (such as lacunes and microbleeds).
WMH shape is assessed as follows: Convexity, solidity, concavity index, and fractal dimension are calculated for periventricular/confluent WMH. A lower convexity and solidity, and higher concavity index and fractal dimension indicate a more irregular shape of periventricular/confluent WMH. For deep WMH, fractal dimension and eccentricity are determined. A higher eccentricity and fractal dimension indicate a more complex shape of deep WMH.
Other study parameters: The investigators want to investigate WMH shape parameters and the association with cognition (mini-mental state exam, clinical dementia rating and cognitive domain scores). Another endpoint is to investigate if different WMH phenotypes can be identified (by machine learning models). Moreover, the association between SVD markers/cognition and novel glymphatics markers (such as size of perivascular spaces, CSF mobility and 4th ventricle CSF flow dynamics) will be investigated.
Nature and extent of the burden and risks associated with participation, benefit and group relatedness: The participants will not directly benefit from the results of the study. However, their contribution to the study will add important information about the pathophysiology of the cerebrovascular pathology that contributes to dementia. Therefore, it is not possible to study the research question in a different population group. The ultra-high field 7T MRI system is widely used in a research setting and since its first introduction in the 1990s no serious adverse events have been reported. Important temporary side-effects are vertigo, nausea and involuntary eye motion due to forces on ion currents in the semicircular loops. As all MRI scans are performed within a maximum of 60 minutes and without any contrast agents, the participant burden is seen as a non-substantial burden.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Jeroen de Bresser, MD, PhD
- Phone Number: 0031715262052
- Email: J.H.J.M.de_Bresser@lumc.nl
Study Contact Backup
- Name: Ingmar Eiling, MSc
- Phone Number: 0031715265411
- Email: i.eiling@lumc.nl
Study Locations
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-
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Leiden, Netherlands, 2333ZA
- Recruiting
- Leiden University Medical Center
-
Contact:
- Jasmin Annica Keller, MSc
- Phone Number: 0031715265411
- Email: j.a.keller@lumc.nl
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Contact:
- Jeroen de Bresser, MD, PhD
- Phone Number: 0031715262052
- Email: J.H.J.M.de_Bresser@lumc.nl
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-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Admitted to the memory or the geriatric clinic of the LUMC, the Alrijne Hospital Leiden or the Haga Hospital the Hague
- From 65 years of age
- Eligible for MRI
- Native-level Dutch speaker
Exclusion Criteria:
- Claustrophobia
- Contraindications for MRI such as metal implants and pacemaker
- Use of benzodiazepines
- Initiated treatment with antidepressants less than 6 weeks prior to inclusion
- Not being able to provide written informed consent (assessed by the treating physician)
- Individuals that have been declared mentally incapacitated
- Other severe neurological disease besides dementia related
- Cognitive impairment due to known other neurological disease
- Previous brain surgery
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Memory clinic patients
We will prospectively include patients with memory complaints and/or vascular brain abnormalities (n=50; over 65 years of age) from the memory clinic (or geriatric clinic) at one of their first visits, prior to any diagnosis.
|
Conventional (3T) brain MRI scans will be used to determine global and functional markers of cerebral SVD, like WMH volume and presence of lacunes, microbleeds and superficial siderosis (3D T1, 3D FLAIR, SWI, DWI), hemodynamics (arterial spin labelling & flow territory mapping) and white matter structural integrity (diffusion tensor imaging (DTI)).
Furthermore, we want to measure structural integrity with a novel MR fingerprinting sequence and an inhomogeneous magnetization transfer (ihMT) MRI scan.
We also want to apply a fMRI scan technique to measure CSF fluctuations in the 4th ventricle as a measure of brain glymphatics.
Also the flow-territory mapping sequence is a non-standard sequence.
Heart rate and respiratory signal will be measured during the scans (3T and 7T MRI) with standard vendor-supplied equipment.
Ultra-high field (7T) brain MRI scans will be used to determine WMH shape and other markers of cerebral SVD in or surrounding the WMH, like local enlarged perivascular spaces, (cortical) microinfarcts and microbleeds (T1, T2, FLAIR and T2*) and vascular pulsatility (phase contrast MRI).
Moreover, a recently implemented MRI technique to measure glymphatic flow in perivascular spaces will be used.
Baseline data, such as age, sex, psychiatric comorbidity and medication lists will be extracted from the patient files. Age (Year of birth); Years of education; BMI (height & weight); Sex; Verhage scale (education); Smoking status; Blood values; Sleep habits; Waste-hip ratio; Blood pressure; Current/general cardiovascular health; Psychiatric comorbidity; medical history related to cardiovascular health. |
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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WMH shape
Time Frame: at study visit during inclusion up to 3 years
|
The investigators will use an in-house developed analysis pipeline to calculate WMH shape on 3T and 7T brain MRI scans.
Associations between WMH shape and other SVD markers and cognition will be investigated with linear and logistic regression (at least corrected for age and sex).
|
at study visit during inclusion up to 3 years
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Brain clearance
Time Frame: at study visit during inclusion up to 3 years
|
Measured on brain MRI as a marker of glymphatic activity.
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at study visit during inclusion up to 3 years
|
|
Perivascular space volume
Time Frame: at study visit during inclusion up to 3 years
|
This marker will be measured on brain MRI.
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at study visit during inclusion up to 3 years
|
|
WMH subtypes
Time Frame: at study visit during inclusion up to 3 years
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Based on WMH parameters the investigators will study if subtypes of WMH can be identified.
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at study visit during inclusion up to 3 years
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Jeroen de Bresser, MD, PhD, Leiden University Medical Center
Publications and helpful links
General Publications
- Bos D, Wolters FJ, Darweesh SKL, Vernooij MW, de Wolf F, Ikram MA, Hofman A. Cerebral small vessel disease and the risk of dementia: A systematic review and meta-analysis of population-based evidence. Alzheimers Dement. 2018 Nov;14(11):1482-1492. doi: 10.1016/j.jalz.2018.04.007. Epub 2018 May 21.
- Ghaznawi R, Geerlings MI, Jaarsma-Coes M, Hendrikse J, de Bresser J; UCC-Smart Study Group. Association of White Matter Hyperintensity Markers on MRI and Long-term Risk of Mortality and Ischemic Stroke: The SMART-MR Study. Neurology. 2021 Apr 27;96(17):e2172-e2183. doi: 10.1212/WNL.0000000000011827. Epub 2021 Mar 16.
- Ghaznawi R, Geerlings MI, Jaarsma-Coes MG, Zwartbol MH, Kuijf HJ, van der Graaf Y, Witkamp TD, Hendrikse J, de Bresser J. The association between lacunes and white matter hyperintensity features on MRI: The SMART-MR study. J Cereb Blood Flow Metab. 2019 Dec;39(12):2486-2496. doi: 10.1177/0271678X18800463. Epub 2018 Sep 11.
- Keller JA, Sigurdsson S, Klaassen K, Hirschler L, van Buchem MA, Launer LJ, van Osch MJP, Gudnason V, de Bresser J. White matter hyperintensity shape is associated with long-term dementia risk. Alzheimers Dement. 2023 Dec;19(12):5632-5641. doi: 10.1002/alz.13345. Epub 2023 Jun 12.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Cerebrovascular Disorders
- Brain Diseases
- Central Nervous System Diseases
- Nervous System Diseases
- Vascular Diseases
- Cardiovascular Diseases
- Mental Disorders
- Neurocognitive Disorders
- Cognition Disorders
- Arteriosclerosis
- Arterial Occlusive Diseases
- Leukoencephalopathies
- Intracranial Arteriosclerosis
- Intracranial Arterial Diseases
- Cognitive Dysfunction
- Dementia
- Dementia, Vascular
- Cerebral Small Vessel Diseases
Other Study ID Numbers
- WHIMAS
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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