2009
DOI: 10.1016/s0924-977x(09)70075-6
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P.3.05 Gamma band response during auditory information processing in schizophrenia

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“…Auditory gamma-band responses have been used to investigate abnormal cortical function in patients with neurological disorders such as Alzheimer’s disease and mild cognitive impairment (Missonnier et al, 2010), and psychiatric disorders such as schizophrenia (Uhlhaas et al, 2006; Uhlhaas & Singer, 2010); it has been shown that gamma-band responses correlate with the severity and duration of schizophrenia (Domjan, Csifcsak, Garab, Szendi, & Janka, 2009; Gallinat, Winterer, Herrmann, & Senkowski, 2004). Cortical mapping of auditory-related high-gamma responses has also been used to measure tinnitus severity (van der Loo et al, 2009), map cortical language functions for presurgical planning in patients with chronic epilepsy or tumors (Cervenka, Boatman-Reich, Ward, Franaszczuk, & Crone, 2011; Crone et al, 2001; Towle et al, 2008), and develop implantable brain–computer interfaces to enable paralyzed patients to communicate and to control prosthetic devices through neural signals (Guo, Gao, & Hong, 2010; Pfurtscheller et al, 2003).…”
Section: Clinical Applicationsmentioning
confidence: 99%
“…Auditory gamma-band responses have been used to investigate abnormal cortical function in patients with neurological disorders such as Alzheimer’s disease and mild cognitive impairment (Missonnier et al, 2010), and psychiatric disorders such as schizophrenia (Uhlhaas et al, 2006; Uhlhaas & Singer, 2010); it has been shown that gamma-band responses correlate with the severity and duration of schizophrenia (Domjan, Csifcsak, Garab, Szendi, & Janka, 2009; Gallinat, Winterer, Herrmann, & Senkowski, 2004). Cortical mapping of auditory-related high-gamma responses has also been used to measure tinnitus severity (van der Loo et al, 2009), map cortical language functions for presurgical planning in patients with chronic epilepsy or tumors (Cervenka, Boatman-Reich, Ward, Franaszczuk, & Crone, 2011; Crone et al, 2001; Towle et al, 2008), and develop implantable brain–computer interfaces to enable paralyzed patients to communicate and to control prosthetic devices through neural signals (Guo, Gao, & Hong, 2010; Pfurtscheller et al, 2003).…”
Section: Clinical Applicationsmentioning
confidence: 99%