OMICS International OMICS International is a scientific organization that drives the progress of research through open access journals and organizes international conferences, The best in science news, commentary, and research. International Journal of Physical Medicine & Rehabilitation Volume 5, Issue 4 Recovering and Worsening at Design Fluency in 22 Neurosurgical Patients Preimmediately Postsurgery and Followup Testing Barbara Tomasino, Dario Marin, Eleonora Madotto, Franco Fabbro and Miran Skrap Investigating the Reliability and Validity of a Newly Developed Intimate PartnerViolence Screening Tool for use in Physical Therapy Practice Lori Maria Walton, Bassima Schbley, Faith Muvuti, Sarah Milliner and Najah Zaaeed Relationship between Executive Function and Dual Task Physical Performanceamong Older AdultsA Cross Sectional Study Hardik Sunil kumar Parikh and Chaitali Shah Role of Spider Cage in Motor Control in Cerebral Palsy Farjad Afzal, Gulraiz, Qurratulain and Sidra Manzoor Effect of Two Different Rehabilitation Training with a Robotic Gait System inBody Weight Support and a Proprioceptive Sensorymotor Exercises on UnstablePlatforms in Rehabilitation of Gait and Balance Impairment and Fatigue inMultiple Sclerosis Saggini R, Ancona E, Supplizi M, Barassi, Carmignano SM and Bellomo RG Feasibility and Effectiveness of Virtual Reality Training on Balance and GaitRecovery Early after Stroke A Pilot Study Ilona JM de Rooij, Ingrid GL van de Port and JanWillem G Meijer Efficacy of Transcranial Direct Current Stimulation as Support for Neurorehabilitation Therapy A Metaanalysis of Available Studies Banchetti PA and Marini C Do Electrodiagnostic Variables Correlate with Functional Outcomes in CarpalTunnel Syndrome Donald Kasitinon, Thiru M Annaswamy, Alexandru Anastase, Tong Zhu, HaiYan Li and Samuel M Bierner The 2 and 6Minute Walk Tests in Neuromuscular Diseases Effect of HeartRate Correction on the Learning Effect Kirsten Lykke Knak, Linda Kahr Andersen, Nanna Witting and John Vissing Methods for Improving the Predictive Accuracy Using Multiple LinearRegression Analysis to Predict the Improvement Degree of FunctionalIndependence Measure for Stroke Patients Makoto Tokunaga, Yoichiro Hashimoto, Susumu Watanabe, Ryoji Nakanishi, Hiroaki Yamanaga, Koichiro Yonemitsu and Hiroyuki Yonemitsu Attempt to Raise the Predictive Accuracy in Binary Logistic Regression Analysis Makoto Tokunaga, Koichiro Yonemitsu and Hiroyuki Yonemitsu Determining Complete Functional Independence in Patients with a TraumaticCervical Spinal Cord Injury Proposal of a TwoLevel Scale Based on the SpinalCord Independence Measure Andreane RichardDenis, Cynthia Thompson and JeanMarc MacThiong Hemiparetic Stroke Rehabilitation Using Avatar and Electrical Stimulation Basedon Noninvasive Brain Computer Interface Woosang Cho, Alexander Heilinger, Ren Xu, Manuela Zehetner, Stefan Schobesberger, Nensi Murovec, Rupert Ortner and Christoph Guger