Transient Ischemic Attack (TIA)

Atherosclerotic plaques, which are fatty build-ups in arteries, can develop silently and may rupture, leading to serious cardiovascular events like heart attacks or strokes. Despite treatments and controlling risks such as diabetes and high blood pressure, some people still develop dangerous forms of the disease. Researchers have found that plaques with thin caps, soft centers, or tiny new blood vessels are more likely to rupture, so new imaging methods are being developed to detect these vulnerable plaques earlier. This study evaluates a new 3D ultrasound probe and machine that can capture many more images than standard probes to visualize the entire plaque and its tiny blood vessels more accurately. Patients will receive an infusion of a microbubble contrast agent called SonoVue to enhance imaging. Initial 2D ultrasound images will confirm plaque presence, followed by 3D imaging using a specialized row-column array probe manipulated by a clinician. The 3D scan takes about 2 to 5 minutes and captures multiple images to assess plaque neovascularization. Participants will undergo ultrasound scans of their carotid arteries after receiving the contrast agent via an infusion. Researchers will analyze these images offline to detect new blood vessels within plaques. The main measurement is the detection of carotid plaque neovascularization at baseline. The study begins with consenting patients who have carotid plaques confirmed by previous CEUS scans. Participation involves imaging procedures and consent, with the study lasting as long as these assessments are completed.

Researchers are evaluating the effect of involving caregivers in a rehabilitation approach called caregiver-assisted rehabilitation with strategy training (CAR-ST) to improve daily activity functions in adults who have had a stroke. The study aims to compare CAR-ST with strategy training alone and with an education program to see which approach leads to better improvements in activity performance and whether these improvements extend to other areas like participation and impairment. This is a single-blinded, three-arm randomized controlled trial conducted in multiple centers to assess the potential benefits of caregiver involvement in home-based post-stroke rehabilitation. Participants will be randomly assigned to one of three groups: CAR-ST, strategy training alone, or an education program. The CAR-ST and strategy training groups receive up to 10 therapist-guided sessions over a maximum of 6 weeks, with sessions once or twice weekly lasting about 60 minutes each. CAR-ST involves caregivers actively assisting and motivating participants during at-home practice, while the strategy training group does not include caregiver participation. The education group receives 10 matched sessions focused on stroke information delivered through face-to-face talks, video calls, or phone calls. During the study, participants will be assessed at four time points: before treatment, immediately after the intervention, and at 3- and 6-month follow-ups. Researchers will use various clinical tools to measure changes in activity performance, participation, quality of life, self-efficacy, motor function, cognition, and goal attainment. Qualitative interviews will also explore participant and caregiver experiences and satisfaction. The total involvement spans from baseline through six months after treatment, with continuous monitoring and data analysis to evaluate the interventions' impact.

Researchers are evaluating whether combining two non-invasive brain stimulation methods—muscle stimulation of the arm using functional electrical stimulation (FES) and neurostimulation through the tongue—can improve recovery after stroke. This study focuses on adults who have experienced a stroke and have upper extremity motor impairments, aiming to measure changes in motor function and brain plasticity using behavioral tests and functional MRI scans. Participants are divided into several groups including stroke patients with upper extremity impairments receiving EEG-guided brain-computer interface (BCI) training combined with muscle and tongue stimulation, stroke patients receiving traditional rehabilitation before starting BCI-FES-tongue therapy, stroke patients receiving standard FES therapy only, healthy controls, and people with stroke risk factors. The study involves training sessions with the EEG-BCI system, muscle and tongue stimulation, and the use of the recoveriX system, which provides real-time visual and tactile feedback paired with imagined hand movements. The intervention periods vary, with some groups receiving delayed therapy and others immediate BCI therapy. Participants will undergo multiple assessments including behavioral tests of upper extremity function, EEG recordings, and functional MRI scans at the start and after about four months of therapy. The researchers will monitor changes in arm function using the Action Research Arm Test and observe brain activity changes through EEG and fMRI. The study includes up to six BCI training sessions and regular evaluations over approximately 10 weeks, with some groups receiving additional follow-up MRI and behavioral testing. Safety screening excludes those with allergies to electrode materials or contraindications for MRI, and pregnant women are not eligible.

This research aims to evaluate a digital treatment combining an iPad-based cognitive training program called AKL-T01 with metacognitive strategy coaching to improve executive dysfunction, depression symptoms, and daily function in individuals who have experienced a stroke. The study focuses on those with post-stroke depression and executive dysfunction, conditions linked to ongoing mood and cognitive challenges. Researchers will assess whether this combined treatment enhances brain connectivity and overall functioning compared to a control group. Participants in the intervention group will use the AKL-T01 program for 25 minutes a day, five days a week, over six weeks. This program involves multitasking exercises in a video game-like environment using an iPad. Alongside this, they will receive weekly 45-minute coaching sessions with a clinician to reflect on their experiences and develop strategies for daily activities. The control group will engage in general cognitive games on the iPad for the same duration and frequency, also paired with similar coaching sessions. Throughout the study, participants will undergo assessments at the start and end of the six-week treatment period. These include tests measuring executive function, depression symptoms, daily functioning, and brain connectivity through MRI scans. Researchers will monitor adherence to the treatment and evaluate changes using standardized tools such as the Oral Symbol Digit Modalities Test, Montgomery Asberg Depression Rating Scale, and resting state functional MRI. The total study duration for each participant is six weeks.

Researchers are evaluating the effectiveness of a smart upper limb rehabilitation system combined with exoskeleton robot devices and an Internet of Things (IoT) application for home-based training in patients recovering from stroke and those with spinal cord injuries. The study aims to improve motor function, daily living activities, and quality of life by remotely monitoring rehabilitation progress and assisting patient movements. Participants are adults aged 20 to 79 years with specific cognitive and physical criteria depending on their condition. Participants are randomly assigned to one of two groups: the TIGER group, which uses a tenodesis-induced-grip exoskeleton robot system, or the TOT group, which receives task-oriented training. Each group follows a home-based training program for 4 weeks. For stroke patients, training is 30 minutes twice daily, 5 days a week; for spinal cord injury patients, training is 40 minutes once daily, 5 days a week. The TIGER system offers passive range of motion warm-up and functional training, while the TOT group practices sensorimotor techniques and functional tasks. Participants will undergo assessments before and after the intervention, including motor function tests like the Fugl-Meyer Assessment and Box and Block Test, range of motion measurements, and quality of life evaluations. Researchers will monitor progress in motor activity, independence, and satisfaction with assistive technology. The total study duration spans from baseline through 4 weeks of training, with outcome measures collected at baseline and after the intervention period.

Researchers are studying brain activation patterns in stroke patients during mirror movement to understand upper limb function. This observational study focuses on patients who have had their first stroke, either cerebral infarction or cerebral hemorrhage, with specific muscle strength and muscle tone conditions. The study takes place in a hospital rehabilitation ward where patients receive detailed information and provide informed consent before participation. The study involves two types of hand movements: mirror image and healthy hand movement. In the mirror image intervention, patients place their affected hand in a mirror box and observe the reflection of the healthy hand moving, imagining the affected hand performing the same actions. In the healthy hand movement intervention, patients quickly open and grasp their healthy hand while focusing on the affected hand. The primary outcome is brain activation measured by functional near-infrared spectroscopy (fNIRS) after one week of hand function rehabilitation training. Participants will be closely monitored throughout the trial with full communication and support from the research team. The study involves observing brain activation and hand movement activity with attention to patients' questions and responses. The total participation period includes the initial week of rehabilitation training followed by assessments to measure the brain's response to the interventions.

Researchers are evaluating a low-cost augmented reality platform for balance training in patients with balance disorders caused by degenerative injuries or cerebrovascular diseases. The study aims to determine if the system is usable, acceptable, safe, and if it improves balance. The trial is a usability study conducted by the Hospital Universitari Vall d'Hebron Research Institute. The intervention has two phases: the first phase lasts four weeks with supervised balance training sessions at the hospital, conducted for 60 minutes, three times a week. If patients meet inclusion criteria, the intervention continues for two additional weeks at home with a family member trained to assist as a training partner. The platform uses different exercise protocols accessed through RGSweb, including balance and sit-to-stand exercises with visual targets and movement tracking. Participants undergo three assessments: before treatment (Day 0), after the hospital phase (Week 4), and after the home phase (Week 6). Evaluations include usability scales, adherence measures, balance tests like the Berg Balance Scale, postural sway, sit-to-stand tests, balance confidence, and quality of life questionnaires. Safety is monitored throughout, and adherence is tracked during both hospital and home interventions.

Researchers are investigating neural biomarkers that may help track and predict recovery of movement and walking ability in patients after a stroke. This study focuses on both natural walking and enhanced therapy using a robotic device. Understanding these biomarkers could improve personalized rehabilitation and recovery outcomes for stroke survivors who often face long-term motor impairments like difficulty walking and balance problems. The study involves training stroke patients with an overground wearable robotic device across 12 treatment sessions. Evaluations occur before treatment, after the 12 sessions, and one month later. During the first and last sessions, brain and muscle activity, as well as ground reaction forces, are recorded using EEG, EMG, and force sensors to monitor progress and interaction with the robotic device. Participants will undergo motor and cognitive assessments commonly used in clinical practice at multiple time points. Researchers will measure motor outcomes from enrollment through the end of treatment at 4 weeks and at a 4-week follow-up. The study aims to gather detailed data on brain-muscle connectivity and mobility improvements to better understand and optimize robotic gait rehabilitation after stroke.

This research aims to evaluate intravenous thrombolysis treatments given beyond the usual time window for people who have experienced an acute ischemic stroke. The study is observational and collects data from multiple centers to better understand outcomes for patients treated between 4.5 and 24 hours after stroke onset. It focuses on comparing two thrombolytic agents, Alteplase and Tenecteplase, for stroke management in this extended time frame. Participants received either Alteplase or Tenecteplase within 4.5 to 24 hours after the stroke symptoms began. The study groups consist of those treated with Alteplase and those treated with Tenecteplase, and researchers observe the effects without assigning treatments themselves. This retrospective design allows gathering clinical data on the timing and type of thrombolysis used in real-world settings. During the study, researchers review clinical information such as modified Rankin Scale (mRS) scores and National Institutes of Health Stroke Scale (NIHSS) scores at specific time points, including 24 hours and 90 days after treatment. They measure functional outcomes, mortality rates, and risks like symptomatic intracranial hemorrhage. This data collection helps assess recovery and safety profiles of the treatments over time, with a focus on long-term outcomes at about three months after stroke onset.

Researchers are investigating a new neurofeedback system combining transcranial magnetic stimulation (TMS) with functional near-infrared spectroscopy (fNIRS) to improve neuromodulation therapy for stroke patients. This study aims to address the variability in current open-loop TMS treatments by developing a closed-loop interface that precisely controls TMS timing based on brain hemodynamic signals. The study will first test this system's accuracy in healthy adults and then evaluate its effectiveness in post-acute stroke patients to enhance motor control and brain excitability after stroke. The study includes two groups: one where TMS pulses are triggered based on individualized fNIRS signals during motor imagination, and another where TMS is triggered by an operator following a set protocol. The researchers will compare these methods to assess the neurofeedback interface's ability to modulate brain activity. This interventional trial uses a randomized design and single masking to evaluate the device's impact on stroke recovery. Participants will undergo assessments including motor evoked potentials to measure brain response before and after treatment. The study involves monitoring motor function and cortical excitability, with safety assessments to exclude those with contraindications to TMS or cognitive impairments. The total participation age range is 18 to 80 years, and participants must be able to consent and communicate in Chinese. The trial is sponsored by The Hong Kong Polytechnic University and plans to complete by the end of 2028.