Introduction: A degenerative disorder results in deterioration of the structure or functions of the __ampersandsignldquo;nervous system__ampersandsignrdquo;, either by killing or rupturing the nerve cells, which is known as a neurodegenerative disease. The most frequently occurring nerve disorder is __ampersandsignldquo;Parkinson__ampersandsignrsquo;s Disease__ampersandsignrdquo;. Objectives: The main objective is to focus on neurodegenerative Parkinson__ampersandsignrsquo;s disease its analysis using deep neural networks. Materials and Methods: This survey briefly reviews some literature on advanced Deep learning algorithms in the diagnosis of neurodegenerative diseases and their treatment protocol. Results: This paper presented few techniques followed by various researchers; accuracy, sensitivity, recall achieved by the methodologies have been presented for Parkinson__ampersandsignrsquo;s disease. Conclusion: In conclusion, this study has reviewed some significant datasets related to Parkinson__ampersandsignrsquo;s disease, applications of advanced deep learning algorithms in their detection, and to ensure advanced neurodegenerative disorder treatments that make use of Brain Computing Interface.