Acupuncture: A Potential Therapy for Neurological and Psychiatric Disorders
Abstract
Background: Acupuncture, a practice rooted in traditional Chinese medicine for thousands of years, is increasingly recognized as a complementary therapy for neurological and psychiatric disorders.
Purpose: This review aims to explore recent advancements in acupuncture's application for treating specific neurological and psychiatric conditions and to highlight its therapeutic potential and underlying mechanisms.
Methods: The review synthesizes findings from extensive research and scientific studies, incorporating insights from modern neuroimaging techniques like functional magnetic resonance imaging (fMRI) and positron emission tomography (PET). It also examines the efficacy of combined modalities, such as laser and electroacupuncture.
Results: Acupuncture has demonstrated efficacy in managing neurological conditions such as stroke, neuropathic pain, and neurodegenerative diseases by enhancing cerebral blood flow, promoting neuroplasticity, and providing neuroprotection. Its application in psychiatric disorders, including anxiety, depression, and post-traumatic stress disorder (PTSD), has shown promising outcomes. These therapeutic effects are mediated through mechanisms involving the autonomic nervous system, decreased inflammation, and neurotransmitter regulation. Combining acupuncture with modalities like laser and electroacupuncture has expanded treatment options and enhanced efficacy.
Conclusion: Recent advancements underscore acupuncture's promise as an effective adjuvant therapy for neurological and psychiatric conditions. However, challenges remain in standardizing procedures and refining study designs to better define specific mechanisms and optimize therapeutic parameters. Continued research is essential to establish acupuncture as a reliable treatment option for improving patient outcomes.
- Page Number : 93-105
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Published Date : 2023-11-10
- Keywords
Neurology, Acupuncture, Psychological, Psychiatric disorders, Neuroprotection - DOI Number
10.15415/jprtm.2023.112002 -
Authors
Deepak Kajla, Maneesh Mohan, and Kenneth C. Ugoeze
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