title: High density event-related potential data acquisition in cognitive neuroscience.
abstract: Functional magnetic resonance imaging (fMRI) is currently the standard method of evaluating brain function in the field of Cognitive Neuroscience, in part because fMRI data acquisition and analysis techniques are readily available. Because fMRI has excellent spatial resolution but poor temporal resolution, this method can only be used to identify the spatial location of brain activity associated with a given cognitive process (and reveals virtually nothing about the time course of brain activity). By contrast, event-related potential (ERP) recording, a method that is used much less frequently than fMRI, has excellent temporal resolution and thus can track rapid temporal modulations in neural activity. Unfortunately, ERPs are under utilized in Cognitive Neuroscience because data acquisition techniques are not readily available and low density ERP recording has poor spatial resolution. In an effort to foster the increased use of ERPs in Cognitive Neuroscience, the present article details key techniques involved in high density ERP data acquisition. Critically, high density ERPs offer the promise of excellent temporal resolution and good spatial resolution (or excellent spatial resolution if coupled with fMRI), which is necessary to capture the spatial-temporal dynamics of human brain function.
authors.affiliation: Department of Psychology, Boston College, USA.
authors.forename: Scott D
authors.initials: SD
authors.lastname: Slotnick
mesh_terms: D001921:Brain / Q000502:physiology*; D003071:Cognition / Q000502:physiology*; D004566:Electrodes; D005071:Evoked Potentials / Q000502:physiology*; D006801:Humans; D009488:Neurosciences / Q000295:instrumentation / Q000379:methods*
references.citation: Electroencephalogr Clin Neurophysiol Suppl. 1999;52:3-6
references.pmid: 10590970
references.citation: Clin Neurophysiol. 2001 Apr;112(4):713-9
references.pmid: 11275545
references.citation: Brain Res. 2009 May 1;1268:97-111
references.pmid: 19272364