Vascular Dementia (VaD) is the second most common cause of dementia after Alzheimer's Disease, resulting from cerebrovascular disease and impaired blood flow to the brain. VaD presents a distinct profile from other dementias, characterized by stepwise cognitive decline, executive dysfunction, and motor symptoms that emerge alongside memory impairment[1].
Brain-computer interface technologies offer unique opportunities for VaD patients, addressing both cognitive support and the motor sequelae of cerebrovascular disease. The heterogeneous nature of VaD—resulting from strokes, small vessel disease, or mixed pathologies—requires flexible BCI approaches that can adapt to variable symptom patterns[2].
Executive dysfunction is a hallmark of VaD, affecting planning, decision-making, and problem-solving:
Neurofeedback Training
Cognitive Prosthetics
While memory impairment in VaD differs from Alzheimer's, BCI can provide meaningful support:
Memory Cueing Systems
Many VaD patients have concurrent motor deficits from cerebrovascular events:
Motor Rehabilitation BCI
Gait and Balance Training
BCI can integrate with vascular health monitoring in VaD:
Hemodynamic Monitoring
Sleep disturbances are common in VaD and can be addressed through:
Sleep-Stage BCI
BCI for VaD requires consideration of:
O'Brien et al. Vascular Dementia. Lancet Neurol. 2023. ↩︎
Kalaria et al. Cerebrovascular Disease and Dementia. Nat Rev Neurol. 2022. ↩︎
Holtzer et al. Neurofeedback for Executive Function in VaD. Neurology. 2023. ↩︎
Wester et al. Cognitive Prosthetics for Dementia. Brain. 2024. ↩︎
Popov et al. Memory Support BCI. Nat Commun. 2023. ↩︎
Daly et al. Motor Imagery BCI for Stroke. J Neuroeng Rehabil. 2023. ↩︎
Pfurtscheller et al. BCI for Gait Rehabilitation. Clin Neurophysiol. 2022. ↩︎
Claassen et al. Cerebral Autoregulation Monitoring. J Cereb Blood Flow Metab. 2023. ↩︎
Mrowka et al. Sleep BCI for Dementia. Sleep. 2024. ↩︎
Picano et al. Safety of Neurotechnology in Stroke. Stroke. 2023. ↩︎