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Epidemiology and treatment of post-stroke depression

Neuropsychiatric disease and treatment, 2008-02, Vol.4 (1), p.145-154

Paolucci, Stefano

2008

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Virtual reality in cognitive and motor rehabilitation: facts, fiction and fallacies

Expert review of medical devices, 2018-02, Vol.15 (2), p.107-117

2018

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Brain-computer interface boosts motor imagery practice during stroke recovery

Annals of neurology, 2015-05, Vol.77 (5), p.851-865

2015

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Proof of Principle of a Brain-Computer Interface Approach to Support Poststroke Arm Rehabilitation in Hospitalized Patients: Design, Acceptability, and Usability

Archives of physical medicine and rehabilitation, 2015-03, Vol.96 (3), p.S71-S78

2015

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Advances in antidepressants for treating post-stroke depression

Expert opinion on pharmacotherapy, 2017-07, Vol.18 (10), p.1011-1017

Paolucci, Stefano

2017

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Artificial Neural Network Detects Hip Muscle Forces as Determinant for Harmonic Walking in People after Stroke

Sensors (Basel, Switzerland), 2022-02, Vol.22 (4), p.1374

2022

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Post-stroke Depression Increases Disability More Than 15% in Ischemic Stroke Survivors: A Case-Control Study

Frontiers in neurology, 2019-08, Vol.10, p.926-926

2019

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The Three Laws of Neurorobotics: A Review on What Neurorehabilitation Robots Should Do for Patients and Clinicians

Journal of medical and biological engineering, 2016, Vol.36 (1), p.1-11

2016

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Dynamic reorganization of TMS-evoked activity in subcortical stroke patients

NeuroImage (Orlando, Fla.), 2018-07, Vol.175, p.365-378

2018

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Effects of cognitive workload on heart and locomotor rhythms coupling

Neuroscience letters, 2021-09, Vol.762, p.136140-136140, Article 136140

2021

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Continuity of Care During COVID-19 Lockdown: A Survey on Stakeholders' Experience With Telerehabilitation

Frontiers in neurology, 2021-01, Vol.11, p.617276-617276

2021

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Validation of SuPerSense, a Sensorized Surface for the Evaluation of Posture Perception in Supine Position

Sensors (Basel, Switzerland), 2022-12, Vol.23 (1), p.424

2022

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The Michelangelo Effect: Art Improves the Performance in a Virtual Reality Task Developed for Upper Limb Neurorehabilitation

Frontiers in psychology, 2021-01, Vol.11, p.611956-611956

2021

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The Future of Neurorehabilitation: Putting the Brain and Body Together Again

Brain sciences, 2023-11, Vol.13 (12), p.1617

2023

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Application of an Artificial Neural Network to Identify the Factors Influencing Neurorehabilitation Outcomes of Patients with Ischemic Stroke Treated with Thrombolysis

Biomolecules (Basel, Switzerland), 2023-02, Vol.13 (2), p.334

2023

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Prognostic Factors in Neurorehabilitation of Stroke: A Comparison among Regression, Neural Network, and Cluster Analyses

Brain sciences, 2021-08, Vol.11 (9), p.1147

2021

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The Ineffective Role of Cathodal tDCS in Enhancing the Functional Motor Outcomes in Early Phase of Stroke Rehabilitation: An Experimental Trial

BioMed research international, 2014-01, Vol.2014, p.547290-9

2014

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Artificial Neural Network Analyzing Wearable Device Gait Data for Identifying Patients With Stroke Unable to Return to Work

Frontiers in neurology, 2021-05, Vol.12, p.650542-650542

2021

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Covid-19: A Dynamic Analysis of Fatality Risk in Italy

Frontiers in medicine, 2020-04, Vol.7, p.185-185

2020

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Urgent Measures for the Containment of the Coronavirus (Covid-19) Epidemic in the Neurorehabilitation/Rehabilitation Departments in the Phase of Maximum Expansion of the Epidemic

Frontiers in neurology, 2020-04, Vol.11, p.423-423

2020

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Spasticity Treatment During COVID-19 Pandemic: Clinical Recommendations

Frontiers in neurology, 2020-06, Vol.11, p.719-719

2020

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The Golden Ratio of Gait Harmony: Repetitive Proportions of Repetitive Gait Phases

BioMed research international, 2013-01, Vol.2013, p.918642-7

2013

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Sensorized Assessment of Dynamic Locomotor Imagery in People with Stroke and Healthy Subjects

Sensors (Basel, Switzerland), 2020-08, Vol.20 (16), p.4545

2020

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The Promotoer, a brain-computer interface-assisted intervention to promote upper limb functional motor recovery after stroke: a study protocol for a randomized controlled trial to test early and long-term efficacy and to identify determinants of response

BMC neurology, 2020-06, Vol.20 (1), p.1-254, Article 254

2020

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A stimulus for eating. The use of neuromuscular transcutaneous electrical stimulation in patients affected by severe dysphagia after subacute stroke: A pilot randomized controlled trial

NeuroRehabilitation (Reading, Mass.), 2019-01, Vol.44 (1), p.103

2019

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Epidemiology and treatment of post-stroke depression

Virtual reality in cognitive and motor rehabilitation: facts, fiction and fallacies

Brain-computer interface boosts motor imagery practice during stroke recovery

Proof of Principle of a Brain-Computer Interface Approach to Support Poststroke Arm Rehabilitation in Hospitalized Patients: Design, Acceptability, and Usability

Advances in antidepressants for treating post-stroke depression

Artificial Neural Network Detects Hip Muscle Forces as Determinant for Harmonic Walking in People after Stroke

Post-stroke Depression Increases Disability More Than 15% in Ischemic Stroke Survivors: A Case-Control Study

The Three Laws of Neurorobotics: A Review on What Neurorehabilitation Robots Should Do for Patients and Clinicians

Dynamic reorganization of TMS-evoked activity in subcortical stroke patients

Effects of cognitive workload on heart and locomotor rhythms coupling

Continuity of Care During COVID-19 Lockdown: A Survey on Stakeholders' Experience With Telerehabilitation

Validation of SuPerSense, a Sensorized Surface for the Evaluation of Posture Perception in Supine Position

The Michelangelo Effect: Art Improves the Performance in a Virtual Reality Task Developed for Upper Limb Neurorehabilitation

The Future of Neurorehabilitation: Putting the Brain and Body Together Again

Application of an Artificial Neural Network to Identify the Factors Influencing Neurorehabilitation Outcomes of Patients with Ischemic Stroke Treated with Thrombolysis

Prognostic Factors in Neurorehabilitation of Stroke: A Comparison among Regression, Neural Network, and Cluster Analyses

The Ineffective Role of Cathodal tDCS in Enhancing the Functional Motor Outcomes in Early Phase of Stroke Rehabilitation: An Experimental Trial

Artificial Neural Network Analyzing Wearable Device Gait Data for Identifying Patients With Stroke Unable to Return to Work

Covid-19: A Dynamic Analysis of Fatality Risk in Italy

Urgent Measures for the Containment of the Coronavirus (Covid-19) Epidemic in the Neurorehabilitation/Rehabilitation Departments in the Phase of Maximum Expansion of the Epidemic

Spasticity Treatment During COVID-19 Pandemic: Clinical Recommendations

The Golden Ratio of Gait Harmony: Repetitive Proportions of Repetitive Gait Phases

Sensorized Assessment of Dynamic Locomotor Imagery in People with Stroke and Healthy Subjects

The Promotoer, a brain-computer interface-assisted intervention to promote upper limb functional motor recovery after stroke: a study protocol for a randomized controlled trial to test early and long-term efficacy and to identify determinants of response

A stimulus for eating. The use of neuromuscular transcutaneous electrical stimulation in patients affected by severe dysphagia after subacute stroke: A pilot randomized controlled trial

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