Getting neurorehabilitation right: what can be learned from animal models?
Getting neurorehabilitation right: what can be learned from animal models?
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DOI:
10.1177/1545968312440745
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发表时间:
2012-10
影响因子:
4.2
通讯作者:
Wittenberg GF
中科院分区:
文献类型:
--
作者:
Krakauer JW;Carmichael ST;Corbett D;Wittenberg GF
Stroke is the leading cause of disability, causing impairments in movement and sensation. Animal models suggest that there is about a month of heightened plasticity in the brain early after stroke when most recovery from impairment occurs. This heightened plasticity occurs against background changes in excitatory/inhibitory balance, is apparent structurally as neurite remodeling, and changes in the extent and responsiveness of cortical maps. The best time for experience to improve outcome is unclear, but in animal models only very early (< 5 days from onset) and intense activities lead to increased histological damage. Conversely, late rehabilitation (>30 days) is much less effective both in terms of outcome and morphological changes. In clinical practice, rehabilitation after disabling strokes involves a relatively brief period of inpatient rehabilitation that does not come close to matching intensity levels investigated in animal models, and it involves training compensatory strategies with minimal impact on impairment. Research on the effect of Constraint-induced and robotic therapy has been conducted almost entirely in chronic stroke but earlier does seem better. Current rehabilitation treatments have a disappointingly modest effect on impairment early or late after stroke. Translation from animal models will require: (1) substantial increases in the intensity and dosage of treatments offered in the first month after stroke with an emphasis on impairment, (2) Treatment combination approaches, for example, non-invasive brain stimulation with robotics, based on current understanding of motor learning and brain plasticity, and (3) Research that emphasizes mechanistic phase II studies over premature phase III clinical trials.