EEG event-related potentials and signal detection.

نویسندگان

  • R T Wilkinson
  • D M Seales
چکیده

The purpose of this study was to determine whether certain previously reported relationships between event-related potentials and measures of signal detection performance occur in vigilance as well as psychophysical settings. In the course of the study, evidence was found which challenges previously proposed psychological correlates of "P300". EEG was recorded while 15 subjects carried out a 40-min signal detection test. CNV was measured between a warning click and the brief offset of a dim light denoting the possible (p = 0.5) occurrence of the signal, a faint tone in the constant background noise. P300 was measured at a point 300 msec following offset of the dim light. As reported previously in psychophysical settings, P300 amplitude was positively related to signal intensity and response confidence, and was larger for correct detections (Hits) than for correct rejections, misses or false alarms. From first to second half of the test both Hits and false alarms fell, response criterion beta rose, and the amplitude of both CNV and P300 fell. The latter negative relationship between beta and P300 contrasted with a positive one when subjects rated their signal reports at three levels of confidence; here the most confident ratings (high beta) were associated with the highest amplitude of P300. CNV reflected individual ability to sustain performance. Results are explained in terms of a two-factor version (Wilkinson, 1976) of the prior state/reactive change hypothesis (Karlin, 1970). It is suggested that time on task constitutes a prior state influence on P300, whereas other variables influence P300 by means of either reactive change or 'real' change in an endogenous P300 component.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

به‌کارگیری روش غیرخطی منحنی بازگشتی برای شناسایی مؤلّفه‌های حافظه‌ای برمبنای تک ثبت

Abstract: The purpose of this study was to apply recurrence plots on event related potentials (ERPs) recorded during memory recognition tests. EEG signals recorded during memory retrieval in four scalp region were used. Two most important ERP’s components corresponding to memory retrieval, FN400 and LPC, were detected in recurrence plots computed for single-trial EEGs. In addition, the RQA was ...

متن کامل

Snr Criterion Maximization for the Extraction of Erp from Eeg Data

In this article, signal-to-noise ratio (SNR) criterion is investigated with the object of determining the level of its ability to distinguish between Event Related Potentials (ERPs) and noise signals in ElectroEncephaloGraphy (EEG) data. For this purpose a new algorithm (SNRMAX) based on SNR maximization and intended for extracting a linear subspace related to ERPs from EEG data is developed. T...

متن کامل

Analyzing and Visualizing Single-Trial Event-Related Potentials

Event-related potentials (ERPs), are portions of electroencephalographic (EEG) recordings that are both timeand phase-locked to experimental events. ERPs are usually averaged to increase their signal/noise ratio relative to non-phase locked EEG activity, regardless of the fact that response activity in single epochs may vary widely in time course and scalp distribution. This study applies a lin...

متن کامل

تشخیص خودکار الگوهای پاتولوژیک ریوی در تصاویر HRCT بیماران مبتلا به ILD

Abstract: The purpose of this study was to apply recurrence plots on event related potentials (ERPs) recorded during memory recognition tests. EEG signals recorded during memory retrieval in four scalp region were used. Two most important ERP’s components corresponding to memory retrieval, FN400 and LPC, were detected in recurrence plots computed for single-trial EEGs. In addition, the RQA was ...

متن کامل

Estimation of Single Trial ERPs and EEG Phase Synchronization with Application to Mental Fatigue

Monitoring mental fatigue is a crucial and important step for prevention of fatal accidents. This may be achieved by understanding and analysis of brain electrical potentials. Electroencephalography (EEG) is the record of electrical activity of the brain and gives the possibility of studying brain functionality with a high temporal resolution. EEG has been used as an important tool by researche...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Biological psychology

دوره 7 1-2  شماره 

صفحات  -

تاریخ انتشار 1978