Effects of mental fatigue on 8–13Hz brain activity in people with spinal cord injury

Brain computer interfaces (BCIs) can be implemented into assistive technologies to provide ‘hands-free’ control for the severely disabled. BCIs utilise voluntary changes in one's brain activity as a control mechanism to control devices in the person's immediate environment. Performance of BCIs could be adversely affected by negative physiological conditions such as fatigue and altered electrophysiology commonly seen in spinal cord injury (SCI). This study examined the effects of mental fatigue from an increase in cognitive demand on the brain activity of those with SCI. Results show a trend of increased alpha (8–13Hz) activity in able-bodied controls after completing a set of cognitive tasks. Conversely, the SCI group showed a decrease in alpha activity due to mental fatigue. Results suggest that the brain activity of SCI persons are altered in its mechanism to adjust to mental fatigue. These altered brain conditions need to be addressed when using BCIs in clinical populations such as SCI. The findings have implications for the improvement of BCI technology

[1]  E. Curran,et al.  Learning to control brain activity: A review of the production and control of EEG components for driving brain–computer interface (BCI) systems , 2003, Brain and Cognition.

[2]  G. Pfurtscheller,et al.  Brain-Computer Interfaces for Communication and Control. , 2011, Communications of the ACM.

[3]  A Searle,et al.  The effectiveness of activating electrical devices using alpha wave synchronisation contingent with eye closure. , 2000, Applied ergonomics.

[4]  D. Harrington,et al.  Profiles of cognitive functioning in chronic spinal cord injury and the role of moderating variables , 1997, Journal of the International Neuropsychological Society.

[5]  R. Yezierski,et al.  Proton magnetic resonance spectroscopy of the thalamus in patients with chronic neuropathic pain after spinal cord injury. , 2002, AJNR. American journal of neuroradiology.

[7]  Jason Steffener,et al.  Functional neuroimaging correlates of mental fatigue induced by cognition among chronic fatigue syndrome patients and controls , 2007, NeuroImage.

[8]  N. Westgren,et al.  Quality of life and traumatic spinal cord injury. , 1998, Archives of physical medicine and rehabilitation.

[9]  J. Middleton,et al.  Levels of brain wave activity (8–13 Hz) in persons with spinal cord injury , 2004, Spinal Cord.

[10]  M. Chung,et al.  Electroencephalographic study of drowsiness in simulated driving with sleep deprivation , 2005 .

[11]  M A Schier,et al.  Changes in EEG alpha power during simulated driving: a demonstration. , 2000, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[12]  E. Roth,et al.  A controlled study of neuropsychological deficits in acute spinal cord injury patients , 1989, Paraplegia.

[13]  Franca Tecchio,et al.  Remodelling of sensorimotor maps in paraplegia: a functional magnetic resonance imaging study after a surgical nerve transfer , 2001, Neuroscience Letters.

[14]  Evian Gordon,et al.  Integrative Neuroscience in Psychiatry: The Role of a Standardized Database , 2003 .

[15]  W. Miller,et al.  Measuring fatigue in persons with spinal cord injury. , 2008, Archives of physical medicine and rehabilitation.

[16]  E. Gordon,et al.  Spontaneous alpha peak frequency predicts working memory performance across the age span. , 2004, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[17]  A. Craig,et al.  The effectiveness of a hands-free environmental control system for the profoundly disabled. , 2002, Archives of physical medicine and rehabilitation.

[18]  R. Robinson,et al.  Prospective longitudinal study of depression following spinal cord injury. , 1994, The Journal of neuropsychiatry and clinical neurosciences.