Showing results (1-10 of 22) with videos related to
Sort By:
Pageof 3
Brain Injury|October 10, 2013
Evolution of the cognitive profile in school-aged patients with severe TBI during the first 2 years of neurorehabilitationAlessandra Bardoni, Susanna Galbiati, Monica Recla, et al.Brain Injury|May 9, 2018
Psychological and behavioural difficulties following severe TBI in adolescence: a comparison with a sample of peers with brain lesions of other origin and with a control groupValentina Pastore, Susanna Galbiati, Monica Recla, et al.Neuropsychology|February 13, 2009
Attention remediation following traumatic brain injury in childhood and adolescenceSusanna Galbiati, Monica Recla, Valentina Pastore, et al.Brain Sciences|July 29, 2023
Long-Term Vocational Outcome at 15 Years from Severe Traumatic and Non-Traumatic Brain Injury in Pediatric AgeSandra Strazzer, Valentina Pastore, Susanna Frigerio, et al.Brain Injury|February 5, 2009
Language and cognition in a bilingual child after traumatic brain injury in infancy: long-term plasticity and vulnerabilityAlessandro Tavano, Susanna Galbiati, Monica Recla, et al.Disability and Rehabilitation|August 11, 2010
Efficacy of cognitive behavioural therapy for children and adolescents with traumatic brain injuryValentina Pastore, Katia Colombo, Mariarosaria Liscio, et al.Journal of Neurology|November 6, 2022
Neuropsychological assessment through Coma Recovery Scale-Revised and Coma/Near Coma Scale in a sample of pediatric patients with disorder of consciousnessSusanna Frigerio, Erika Molteni, Katia Colombo, et al.Brain Injury|March 25, 2014
Cognitive recovery after severe traumatic brain injury in children/adolescents and adults: similar positive outcome but different underlying pathways?Alessandro Tavano, Susanna Galbiati, Monica Recla, et al.Brain Injury|October 31, 2018
Children sustaining a severe acquired brain lesion before age 3 years: a follow-up study at 1 year from insultMonica Recla, Susanna Galbiati, Valentina Pastore, et al.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Comparison of Multi-class Machine Learning Methods for the Identification of Factors Most Predictive of Prognosis in Neurobehavioral assessment of Pediatric Severe Disorder of Consciousness through LOCFAS scaleErika Molteni, Katia Colombo, Elena Beretta, et al.Pageof 3