| Literature DB >> 33359639 |
Ankan Sarkar1, Deepaneeta Sarmah1, Aishika Datta1, Harpreet Kaur1, Priya Jagtap1, Swapnil Raut1, Birva Shah1, Upasna Singh1, Falguni Baidya1, Mariya Bohra1, Kiran Kalia1, Anupom Borah2, Xin Wang3, Kunjan R Dave4, Dileep R Yavagal5, Pallab Bhattacharya6.
Abstract
Cerebral ischemia contributes to significant disabilities worldwide, impairing cognitive function and motor coordination in affected individuals. Stroke has severe neuropsychological outcomes, the major one being a stroke. Stroke survivors begin to show symptoms of depression within a few months of the incidence that overtime progresses to become a long-term ailment. As the pathophysiology for the progression of the disease is multifactorial and complex, it limits the understanding of the disease mechanism completely. Meta-analyses and randomized clinical trials have shown that intervening early with tricyclic antidepressants and selective serotonin receptor inhibitors can be effective. However, these pharmacotherapies possess several limitations that have given rise to newer approaches such as brain stimulation, psychotherapy and rehabilitation therapy, which in today's time are gaining attention for their beneficial results in post-stroke depression (PSD). The present review highlights numerous factors like lesion location, inflammatory mediators and genetic abnormalities that play a crucial role in the development of depression in stroke patients. Further, we have also discussed various mechanisms involved in post-stroke depression (PSD) and strategies for early detection and diagnosis using biomarkers that may revolutionize treatment for the affected population. Towards the end, along with the preclinical scenario, we have also discussed the various treatment approaches like pharmacotherapy, traditional medicines, psychotherapy, electrical stimulation and microRNAs being utilized for effectively managing PSD.Entities:
Keywords: Biomarkers; Depression; Diagnosis; Post-stroke depression; Repetitive transcranial magnetic stimulation; Stroke
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Year: 2020 PMID: 33359639 DOI: 10.1016/j.brainresbull.2020.12.012
Source DB: PubMed Journal: Brain Res Bull ISSN: 0361-9230 Impact factor: 4.077