Condition or disease |
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Stroke Cognitive Impairment Memory Impairment |
Memory breakdown in older age is a major challenge for medical research, with an increasing burden in personal, societal and fiscal terms. Stroke is an important cause. Memory depends on widespread networks in the brain which are bound together by white matter connections, which essentially act as the wiring of brain networks. This project uses a technique called diffusion tensor MRI to investigate these connections and their relationship to brain function and patterns of memory impairment after stroke.
Previous research showed that a tract called the fornix was most important in the healthy brain and in ageing. However, in individuals at an early stage of memory decline alternative pathways became disproportionately more important. This led to the idea that individuals with early memory decline might be especially vulnerable to injury to these alternative tracts from stroke. The purpose of this project is to test this idea.
The project focuses on patients with recent stroke. Participants undergo MRI, including diffusion tensor MRI, and in-depth testing of memory and other cognitive functions. The pattern of damage to temporal lobe connections in the brain will be assessed and related to the impact of brain infarction on memory. Analysis will determine how undamaged tracts contribute to recovery over one year. Finally, cutting edge computational image analysis techniques will be applied to try and predict memory profile in more detail and extract maximum information about prognosis from brain images.
Study Type : | Observational |
Actual Enrollment : | 193 participants |
Observational Model: | Case-Only |
Time Perspective: | Prospective |
Official Title: | White Matter Connections and Memory: the STRATEGIC Study |
Actual Study Start Date : | April 11, 2014 |
Actual Primary Completion Date : | June 7, 2017 |
Estimated Study Completion Date : | April 30, 2022 |
Group/Cohort |
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Stroke patients
Patients with recent ischaemic stroke
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The MoCA is a widely used test measuring across several cognitive domains. It gives a score out of 30.
https://www.mocatest.org
The MoCA is a widely used test measuring across several cognitive domains. It gives a score out of 30.
https://www.mocatest.org
The MoCA is a widely used test measuring across several cognitive domains. It gives a score out of 30.
https://www.mocatest.org
Ages Eligible for Study: | 50 Years and older (Adult, Older Adult) |
Sexes Eligible for Study: | All |
Accepts Healthy Volunteers: | No |
Sampling Method: | Non-Probability Sample |
Inclusion Criteria:
Exclusion Criteria:
Principal Investigator: | Michael J O'Sullivan, MBBS,PhD | King's College London and University of Queensland |
Tracking Information | |||||
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First Submitted Date | November 23, 2018 | ||||
First Posted Date | June 11, 2019 | ||||
Last Update Posted Date | June 11, 2019 | ||||
Actual Study Start Date | April 11, 2014 | ||||
Actual Primary Completion Date | June 7, 2017 (Final data collection date for primary outcome measure) | ||||
Current Primary Outcome Measures |
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Original Primary Outcome Measures | Same as current | ||||
Change History | No Changes Posted | ||||
Current Secondary Outcome Measures | Not Provided | ||||
Original Secondary Outcome Measures | Not Provided | ||||
Current Other Pre-specified Outcome Measures | Not Provided | ||||
Original Other Pre-specified Outcome Measures | Not Provided | ||||
Descriptive Information | |||||
Brief Title | White Matter Connections and Memory: the STRATEGIC Study | ||||
Official Title | White Matter Connections and Memory: the STRATEGIC Study | ||||
Brief Summary | In patients who have had a stroke, memory problems are common. Some patients with memory problems improve over the first year after stroke, but recovery is unpredictable. The STRATEGIC study assesses patients with recent stroke and follows them up after one year. The study uses cognitive testing and advanced MRI to understand the brain's mechanism for recovery from memory problems and to identify factors that may predict later recovery. | ||||
Detailed Description |
Memory breakdown in older age is a major challenge for medical research, with an increasing burden in personal, societal and fiscal terms. Stroke is an important cause. Memory depends on widespread networks in the brain which are bound together by white matter connections, which essentially act as the wiring of brain networks. This project uses a technique called diffusion tensor MRI to investigate these connections and their relationship to brain function and patterns of memory impairment after stroke. Previous research showed that a tract called the fornix was most important in the healthy brain and in ageing. However, in individuals at an early stage of memory decline alternative pathways became disproportionately more important. This led to the idea that individuals with early memory decline might be especially vulnerable to injury to these alternative tracts from stroke. The purpose of this project is to test this idea. The project focuses on patients with recent stroke. Participants undergo MRI, including diffusion tensor MRI, and in-depth testing of memory and other cognitive functions. The pattern of damage to temporal lobe connections in the brain will be assessed and related to the impact of brain infarction on memory. Analysis will determine how undamaged tracts contribute to recovery over one year. Finally, cutting edge computational image analysis techniques will be applied to try and predict memory profile in more detail and extract maximum information about prognosis from brain images. |
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Study Type | Observational | ||||
Study Design | Observational Model: Case-Only Time Perspective: Prospective |
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Target Follow-Up Duration | Not Provided | ||||
Biospecimen | Retention: Samples With DNA Description:
Blood
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Sampling Method | Non-Probability Sample | ||||
Study Population | Patients with recent ischaemic stroke. | ||||
Condition |
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Intervention | Not Provided | ||||
Study Groups/Cohorts | Stroke patients
Patients with recent ischaemic stroke
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Publications * | Not Provided | ||||
* Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline. |
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Recruitment Information | |||||
Recruitment Status | Active, not recruiting | ||||
Actual Enrollment |
193 | ||||
Original Actual Enrollment | Same as current | ||||
Estimated Study Completion Date | April 30, 2022 | ||||
Actual Primary Completion Date | June 7, 2017 (Final data collection date for primary outcome measure) | ||||
Eligibility Criteria |
Inclusion Criteria:
Exclusion Criteria:
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Sex/Gender |
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Ages | 50 Years and older (Adult, Older Adult) | ||||
Accepts Healthy Volunteers | No | ||||
Contacts | Contact information is only displayed when the study is recruiting subjects | ||||
Listed Location Countries | Not Provided | ||||
Removed Location Countries | |||||
Administrative Information | |||||
NCT Number | NCT03982147 | ||||
Other Study ID Numbers | KCH14-072 13/LO/1745 ( Other Identifier: London Bromley Research Ethics Committee ) K022113 ( Other Grant/Funding Number: Medical Research Council, UK ) |
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Has Data Monitoring Committee | No | ||||
U.S. FDA-regulated Product |
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IPD Sharing Statement |
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Responsible Party | Dr Mike O'Sullivan, King's College London | ||||
Study Sponsor | King's College London | ||||
Collaborators | Not Provided | ||||
Investigators |
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PRS Account | King's College London | ||||
Verification Date | June 2019 |