BACKGROUND: Cortical networks underlying motor imagery are functionally close to motor performance networks and can be activated by patients with severe motor disabilities. OBJECTIVE: The aim of the study was to examine the longitudinal effect of progressive motoneuron degeneration on cortical representation of motor imagery and function in amyotrophic lateral sclerosis. METHODS: The authors studied 14 amyotrophic lateral sclerosis patients and 15 healthy controls and a subgroup of 11 patients and 14 controls after 6 months with a grip force paradigm comprising imagery and execution tasks using functional magnetic resonance imaging. RESULTS: Motor imagery activated similar neural networks as motor execution in amyotrophic lateral sclerosis patients and healthy subjects in the primary motor (BA 4), premotor, and supplementary motor (BA 6) cortex. Amyotrophic lateral sclerosis patients presented a stronger response within premotor and primary motor areas for imagery and execution compared to controls. After 6 months, these differences persisted with additional activity in the precentral gyrus in patients as well as in a frontoparietal network for motor imagery, in which activity increased with impairment. CONCLUSION: The findings suggest an ongoing compensatory process within the higher order motor-processing system of amyotrophic lateral sclerosis patients, probably to overcome loss of function in primary motor and motor imagery-specific networks. The increased activity in precentral and frontoparietal networks in motor imagery might be used to control brain-computer interfaces to drive communication and limb prosthetic devices in patients with loss of motor control such as severely disabled amyotrophic lateral sclerosis patients in a locked-in-like state.
BACKGROUND: Cortical networks underlying motor imagery are functionally close to motor performance networks and can be activated by patients with severe motor disabilities. OBJECTIVE: The aim of the study was to examine the longitudinal effect of progressive motoneuron degeneration on cortical representation of motor imagery and function in amyotrophic lateral sclerosis. METHODS: The authors studied 14 amyotrophic lateral sclerosispatients and 15 healthy controls and a subgroup of 11 patients and 14 controls after 6 months with a grip force paradigm comprising imagery and execution tasks using functional magnetic resonance imaging. RESULTS: Motor imagery activated similar neural networks as motor execution in amyotrophic lateral sclerosispatients and healthy subjects in the primary motor (BA 4), premotor, and supplementary motor (BA 6) cortex. Amyotrophic lateral sclerosispatients presented a stronger response within premotor and primary motor areas for imagery and execution compared to controls. After 6 months, these differences persisted with additional activity in the precentral gyrus in patients as well as in a frontoparietal network for motor imagery, in which activity increased with impairment. CONCLUSION: The findings suggest an ongoing compensatory process within the higher order motor-processing system of amyotrophic lateral sclerosispatients, probably to overcome loss of function in primary motor and motor imagery-specific networks. The increased activity in precentral and frontoparietal networks in motor imagery might be used to control brain-computer interfaces to drive communication and limb prosthetic devices in patients with loss of motor control such as severely disabled amyotrophic lateral sclerosispatients in a locked-in-like state.
Authors: F Agosta; A Chiò; M Cosottini; N De Stefano; A Falini; M Mascalchi; M A Rocca; V Silani; G Tedeschi; M Filippi Journal: AJNR Am J Neuroradiol Date: 2010-04-01 Impact factor: 3.825
Authors: F Fiori; A Sedda; E R Ferrè; A Toraldo; M Querzola; F Pasotti; D Ovadia; C Piroddi; R Dell'aquila; C Lunetta; M Corbo; G Bottini Journal: Exp Brain Res Date: 2013-03-17 Impact factor: 1.972
Authors: L Zapparoli; P Invernizzi; M Gandola; M Verardi; M Berlingeri; M Sberna; A De Santis; A Zerbi; G Banfi; G Bottini; E Paulesu Journal: Exp Brain Res Date: 2012-11-25 Impact factor: 1.972