Paper Title
Neuro-Physiotherapy for Enhancing Gross Motor Function in a male patient With Spastic Diplegic Cerebral Palsy: Case study
Article Identifiers
: Authors
Keywords
case study, neuro-physiotherapy, patient, spastic diplegia, cerebral palsy.
Abstract
Cerebral palsy (CP) is a condition caused by a non-progressive lesion in the developing brain, with a prevalence ranging from 1.5 to three cases per 1,000 persons. This case study explores the efficacy of neuro-physiotherapy in enhancing gross motor function in a male patient diagnosed with spastic diplegic cerebral palsy. Spastic diplegia is a form of CP characterized by high muscle tone and stiffness predominantly in the legs, leading to challenges in mobility and coordination. The patient underwent a comprehensive neuro-physiotherapy program tailored to his specific needs, including strength training, stretching, balance exercises, and functional mobility activities. Over the course of months, the patient's progress was meticulously monitored using standardized assessment tools such as the Gross Motor Function Measure and the Pediatric Balance Scale (PBS). Significant improvements were noted in the patient's gross motor abilities, including enhanced walking speed, better postural control, and increased independence in daily activities. This case study highlights the potential benefits of individualized neuro-physiotherapy interventions in managing spastic diplegic cerebral palsy and underscores the importance of early and consistent therapeutic engagement for optimal outcomes.
Downloads
How To Cite (APA)
Dr. KIRAN GOSWAMI, Dr. shaima parveen, & Dr. roshan (June-2024). Neuro-Physiotherapy for Enhancing Gross Motor Function in a male patient With Spastic Diplegic Cerebral Palsy: Case study. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(6), b184-b190. https://ijnrd.org/papers/IJNRD2406118.pdf
Issue
Volume 9 Issue 6, June-2024
Pages : b184-b190
Other Publication Details
Paper Reg. ID: IJNRD_223209
Published Paper Id: IJNRD2406118
Downloads: 000122253
Research Area: Medical Science
Author Type: Indian Author
Country: jaipur, rajasthan, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2406118.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2406118
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
UGC CARE JOURNAL PUBLICATION | ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave | IJNRD.ORG | IJNRD.COM | IJPUB.ORG
Copyright & License
© 2025 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License. and The Open Definition.
You are free to share, adapt, and redistribute the material, provided proper credit is given to the original author. 🛡️ Disclaimer: The content, data, and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses, or consequences arising from its use.
Publication Timeline
Article Preview: View Full Paper
Call For Paper
IJNRD is a Scholarly Open Access, Peer-Reviewed, Refereed, and UGC CARE Journal Publication with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost, and Transparent Peer Review Journal Publication that adheres to the UGC CARE 2025 Peer-Reviewed Journal Policy and aligns with Scopus Journal Publication standards to ensure the highest level of research quality and credibility.
IJNRD offers comprehensive Journal Publication Services including indexing in all major databases and metadata repositories, Digital Object Identifier (Crossref DOI) assignment for each published article with additional fees, citation generation tools, and full Open Access visibility to enhance global research reach and citation impact.
The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse academic and professional fields. The journal promotes global knowledge exchange among researchers, developers, academicians, engineers, and practitioners, serving as a trusted platform for innovative, peer-reviewed journal publication and scientific collaboration.
Indexing Coverage: Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many other recognized academic repositories.
How to submit the paper?
By Our website
Click Here to Submit Paper Online
You can now publish your research in IJNRD. IJNRD is a Transparent Peer-Reviewed Open Access Journal Publication (Refereed Journal), aligning with New UGC and UGC CARE recommendations.
For more details, refer to the official notice: UGC Public Notice
Submit Paper Online
Important Dates for Current issue
Paper Submission Open For: December 2025
Current Issue: Volume 10 | Issue 12 | December 2025
Impact Factor: 8.76
Last Date for Paper Submission: Till 31-Dec-2025
Notification of Review Result: Within 1-2 Days after Submitting paper.
Publication of Paper: Within 01-02 Days after Submititng documents.
Frequency: Monthly (12 issue Annually).
Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.
Subject Category: Research Area
Call for Paper: More Details
Approval, Licenses and Indexing: More Details
