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Brain–Computer Interfaces - Index of

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160 N. Birbaumer and P. Sauseng<br />

patients with large brain damages, such as hydrancephaly (a very rare disorder in<br />

which large parts <strong>of</strong> the brain are substituted by cerebrospinal fluid) seems to hold<br />

some promise for future development. Particularly in the vegetative state and minimal<br />

responsive state after brain damage, the application <strong>of</strong> BCI in cases with relatively<br />

intact cognitive function measured with evoked cognitive brain potentials is an<br />

important indication for future development <strong>of</strong> BCI in neurorehabilitation (see [17]).<br />

4 Brain–Computer <strong>Interfaces</strong> in Stroke and Spinal Cord Lesions<br />

Millions <strong>of</strong> people suffer from motor disorders where intact movement-related areas<br />

<strong>of</strong> the brain can not generate movements because <strong>of</strong> damage to the spinal cord,<br />

muscles or the primary motor output fibres <strong>of</strong> the cortex. First clinically relevant<br />

attempts to by-pass the lesion with a brain–computer interface were reported by<br />

the group <strong>of</strong> Pfurtscheller [29, 14], and in stroke by [9]). Pfurtscheller reported a<br />

patient who was able to learn grasping movements, even to pick up a glass and bring<br />

it to the mouth by using sensory motor rhythm (SMR) control <strong>of</strong> the contralateral<br />

motor cortex and electrical stimulation devices attached to the muscle or nerve <strong>of</strong><br />

the paralyzed hand. Hochberg et al. implanted a 100 electrode grid in the primary<br />

motor cortex <strong>of</strong> a tetraplegic man and trained the patient to use spike sequences<br />

classified with simple linear discriminate analysis to move a prosthetic hand. No<br />

functional movement, however, was possible with this invasively implanted device.<br />

Buch et al. from our laboratory and the National Institutes <strong>of</strong> Health, National<br />

Institute <strong>of</strong> Neurological Disorders and Stroke developed a non-invasive brain–<br />

computer interface for chronic stroke patients using magnetoencephalography [9].<br />

Figure 2 demonstrates the design <strong>of</strong> the stroke BCI: chronic stroke patients with<br />

no residual movement 1 year after the incident do not respond to any type <strong>of</strong> rehabilitation;<br />

their prognosis for improvement is extremely bad. Chronic stroke with<br />

residual movement pr<strong>of</strong>its from physical restraint therapy developed by Taub (see<br />

[39]) where the healthy non-paralyzed limb is fixated with a sling on the body forcing<br />

the patient to use the paralyzed hand for daily activities over a period <strong>of</strong> about<br />

2–3 weeks. Learned non-use, largely responsible for maladaptive brain reorganization<br />

and persistent paralysis <strong>of</strong> the limb, is responsible for the lasting paralysis.<br />

Movement restraint therapy, however, can not be applied to stroke patients without<br />

any residual movement capacity because no successful contingencies <strong>of</strong> the motor<br />

response and the reward are possible. Therefore, brain–computer interfaces can be<br />

used to by-pass the lesion usually subcortically and drive a peripheral device or<br />

peripheral muscles or nerves with motor activity generating brain activity.<br />

In the Buch et al. study, 10 patients with chronic stroke without residual movement<br />

were trained to increase and decrease sensory motor rhythm (8–15 Hz) or its<br />

harmonic (around 20 Hz) from the ipsilesional hemisphere. MEG with 250 channels<br />

distributed over the whole cortical surface was used to drive a hand orthosis fixed<br />

to the paralyzed hand as seen in Fig. 2. Voluntary increase <strong>of</strong> sensorimotor rhythm<br />

amplitude opened the hand and voluntary decrease <strong>of</strong> sensorimotor rhythm from

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