The contingent negative variation (CNV), first described by Gray Walter in 1964 as “expectancy wave,” is a slow cortical endogenous potential widely recognized as the electrophysiological signature of a task-specific preparatory state that facilitates the stimulus perception and the required response. Here, we describe the techniques needed to elicit, record, and analyze this event-related potential, extensively used in healthy subjects and many pathological conditions as a valuable tool in describing and understanding the impacts of diseases on cognition. Many functions are sequentially engaged during a typical CNV task, such as anticipatory attention, stimulus discrimination, and motor preparation, and CNV, therefore, represents a trustworthy index of the sensorimotor association linked to these cognitive operations
Contingent Negative Variation (CNV) / Fattapposta, Francesco; Pauletti, Caterina; Mannarelli, Daniela; De Pascalis, Vilfredo; Ciorciari, Joseph; Crewther, David; White, David; Knyazev, Gennady. - (2024), pp. 23-32. - NEUROMETHODS. [10.1007/978-1-0716-3545-2_2].
Contingent Negative Variation (CNV)
Fattapposta, Francesco;Pauletti, Caterina;Mannarelli, Daniela;De Pascalis, Vilfredo;
2024
Abstract
The contingent negative variation (CNV), first described by Gray Walter in 1964 as “expectancy wave,” is a slow cortical endogenous potential widely recognized as the electrophysiological signature of a task-specific preparatory state that facilitates the stimulus perception and the required response. Here, we describe the techniques needed to elicit, record, and analyze this event-related potential, extensively used in healthy subjects and many pathological conditions as a valuable tool in describing and understanding the impacts of diseases on cognition. Many functions are sequentially engaged during a typical CNV task, such as anticipatory attention, stimulus discrimination, and motor preparation, and CNV, therefore, represents a trustworthy index of the sensorimotor association linked to these cognitive operationsFile | Dimensione | Formato | |
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