Citation: Bonanno, M.; De Luca, R.;
De Nunzio, A.M.; Quartarone, A.;
Calabrò, R.S. Innovative Technologies
in the Neurorehabilitation of
Traumatic Brain Injury: A Systematic
Review. Brain Sci. 2022, 12, 1678.
https://doi.org/10.3390/
brainsci12121678
Academic Editor: Paola Marangolo
Received: 27 October 2022
Accepted: 6 December 2022
Published: 7 December 2022
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brain
sciences
Systematic Review
Innovative Technologies in the Neurorehabilitation of
Traumatic Brain Injury: A Systematic Review
Mirjam Bonanno
1
, Rosaria De Luca
1,
*, Alessandro Marco De Nunzio
2
, Angelo Quartarone
1
and Rocco Salvatore Calabrò
1,2
1
IRCCS Centro Neurolesi “Bonino-Pulejo”, Via Palermo, SS 113, C. da Casazza, 98124 Messina, Italy
2
Department of Research and Development, LUNEX International University of Health, Exercise and Sports,
Avenue du Parc des Sports, 50, 4671 Differdange, Luxembourg
* Correspondence: rosaria.deluca@irccsme.it
Abstract: Motor and cognitive rehabilitation in individuals with traumatic brain injury (TBI) is a
growing field of clinical and research interest. In fact, novel rehabilitative approaches allow a very
early verticalization and gait training through robotic devices and other innovative tools boosting
neuroplasticity, thanks to the high-intensity, repetitive and task-oriented training. In the same way,
cognitive rehabilitation is also evolving towards advanced interventions using virtual reality (VR),
computer-based approaches, telerehabilitation and neuromodulation devices. This review aimed to
systematically investigate the existing evidence concerning the role of innovative technologies in
the motor and cognitive neurorehabilitation of TBI patients. We searched and reviewed the studies
published in the Cochrane Library, PEDro, PubMed and Scopus between January 2012 and September
2022. After an accurate screening, only 29 papers were included in this review. This systematic
review has demonstrated the beneficial role of innovative technologies when applied to cognitive
rehabilitation in patients with TBI, while evidence of their effect on motor rehabilitation in this patient
population is poor and still controversial.
Keywords: robotic device; virtual reality; innovations in neurorehabilitation; traumatic brain injury
1. Introduction
Traumatic Brain Injury (TBI) is non-progressive damage to the brain followed by a
violent and rapid external force applied to the skull. TBI affects around 64–74 million
persons each year worldwide and causes a variety of physical, motor, speech, and cognitive
deficits that can have a long-term detrimental impact [1,2]. In fact, beyond motor impair-
ment, attention, memory, affectivity, behaviour and executive dysfunctions may occur
after the brain damage involving the frontal and temporal lobes, especially in the basal
areas [3]. Diffuse axonal injury is often the cause of the worst functional outcomes [2]. In
this context, both motor and cognitive neurorehabilitation for TBI patients is fundamental
to its beneficial and effective role in improving patient outcomes and quality of life [4].
Physiotherapy treatments are focused on recovering and/or improving balance and
gait ability, activating the locomotor centres of the central nervous system (CNS) and, at
the same time, strengthening the postural control needed for deambulation [5]. However,
conventional rehabilitation techniques have some limits that may undermine the outcomes,
including the absence of a standardised training environment, adaptable supports to more
functionally train the patients as well as the ability to increase therapy intensity and dose
with a reduced physical burden for the therapists [6]. Indeed, for example, physiotherapists
have difficulties in ensuring spatial and temporal symmetry between the steps for severely
affected patients, making the repeatability of the exercises imprecise [7]. New approaches
for verticalization and gait training have been employed to overcome these problems,
which are based on high-intensity training with a high number of task-oriented repetitions.
Brain Sci. 2022, 12, 1678. https://doi.org/10.3390/brainsci12121678 https://www.mdpi.com/journal/brainsci