4.6 Review

Post-Stroke Cognitive Impairment: Pathophysiological Insights into Brain Disconnectome from Advanced

Journal

JOURNAL OF STROKE
Volume 23, Issue 3, Pages 297-311

Publisher

KOREAN STROKE SOC
DOI: 10.5853/jos.2021.02376

Keywords

Stroke; Cognitive dysfunction; Dementia; Neuroimaging; Brain mapping; Connectome

Funding

  1. National Research Foundation of Korea (NRF) - Korea government [2017R1C1B5018132, IBS-R015-D1, 2019R1C1C1004512, 2E30410-20-085, 2018H1A2A1059844]
  2. National Research Foundation of Korea [2017R1C1B5018132, 2018H1A2A1059844, 2019R1C1C1004512] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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This review explores the pathophysiology of post-stroke cognitive impairment, focusing on the relationship between changes in brain networks and cognitive prognosis. The article discusses the impact of stroke lesions on brain networks and emerging methods used to study these events.
The neurological symptoms of stroke have traditionally provided the foundation for functional mapping of the brain. However, there are many unresolved aspects in our understanding of cerebral activity, especially regarding high-level cognitive functions. This review provides a comprehensive look at the pathophysiology of post-stroke cognitive impairment in light of recent findings from advanced imaging techniques. Combining network neuroscience and clinical neurology, our research focuses on how changes in brain networks correlate with post-stroke cognitive prognosis. More specifically, we first discuss the general consequences of stroke lesions due to damage of canonical resting-state large-scale networks or changes in the composition of the entire brain. We also review emerging methods, such as lesion-network mapping and gradient analysis, used to study the aforementioned events caused by stroke lesions. Lastly, we examine other patient vulnerabilities, such as superimposed amyloid pathology and blood-brain barrier leakage, which potentially lead to different outcomes for the brain network compositions even in the presence of similar stroke lesions. This knowledge will allow a better understanding of the pathophysiology of post-stroke cognitive impairment and provide a theoretical basis for the development of new treatments, such as neuromodulation.

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