We don't need you to 'assess' neuroplasticity. WE NEED YOU TO CREATE PROTOCOLS THAT WILL CREATE NEUROPLASTICITY ON DEMAND. Useless.
Assessment of Neuroplasticity Using EEG Signal in Rehabilitation of Brain Stem Stroke Patients
Abstract:
Robot-assisted
motor training provides an efficient alternative to conventional
rehabilitation methods used for poststroke patients. The re-learning of
lost motor functions happens through neuroplasticity in the brain.
Electroencephalogram (EEG) provides an effective method for assessing
neuroplasticity. Movement-related cortical potential (MRCP), an
EEG-derived time-domain pattern, indicates changes due to motor skills
gained as a result of the training. This study aims to perform a
two-stage robot-assisted rehabilitation program on brain stem stroke
patients consisting of a total of 24 training sessions and to assess
whether significant motor recovery and neuroplasticity induction are
achieved after the first stage or after completing both stages of the
designed rehabilitation program. Three brain stem stroke patients were
recruited for hand motor training on AMADEO rehabilitation robot for 8
weeks consisting of two stages of 4 weeks each. Three assessments
methods which include standard clinical tests, hand strength and range
of movement measurements using AMADEO assessment tool, as well as EEG
signal acquisition, were performed at the beginning of all the training
sessions (week 0), after completion of the first stage of rehabilitation
(week 4) and after completion of both stages of the training sessions
(week 8). The experimental results demonstrate that all brain stem
stroke patients show significant functional hand motor recovery, as
indicated by clinical tests, hand strength, and range of movement
measurements, after completing 8 weeks of the training. Moreover, MRCP
signal negative peak showed a significant decrease in its amplitude when
the patients completed two phases of rehabilitation training,
indicating neuroplasticity induction.
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