The genesis of human event-related responses explained through the theory of oscillatory neural assemblies

Karakaş, Sirel; Erzengin, Ömer Utku; Başar, Erol

doi:10.1016/s0304-3940(00)01022-3

Cited by 161 publications

(161 citation statements)

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“…Evidence suggests that ERP features arise from 'superpositioned neuroelectric oscillations' modulated or produced by sensory and cognitive processes set into the dynamics of ongoing EEG rhythms (Basar-Eroglu and Basar, 1991;Basar-Eroglu et al, 1992;Basar-Eroglu and Demiralp, 2001;Demiralp et al, 2001;Karakas et al, 2000a;Karakas et al, 2000b;Klimesch et al, 2004;Schurmann et al, 1995;Yordanova and Kolev, 1996;Yordanova and Kolev, 1998a). These neuroelectric oscillations when analyzed in the context of stimulus-related brain function can be termed event related oscillations or EROs.…”

Section: Introductionmentioning

confidence: 99%

Delta and theta oscillations as risk markers in adolescent offspring of alcoholics

Rangaswamy

Jones

Porjesz

et al. 2007

International Journal of Psychophysiology

117

136

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Background-Visual P300 is consistently lower in alcohol dependent individuals, their offspring and subjects at risk. Delta and theta event related oscillations (ERO) are the major contributors to the P300 signal. The total and evoked power in delta and theta bands in the 300 to 700 millisecond post-stimulus window (corresponding to the zone of P3 maxima) was compared between adolescent offspring of alcoholics (high-risk) and age-matched normal controls (low-risk), to assess the utility of the risk markers.Methods-EEG was recorded during the performance of visual oddball task. The S-Transform algorithm decomposed the EEG signals into different frequency bands and the group differences in total and evoked power in the oscillatory responses during the P300 time window (300 to 700 ms) were analyzed using a multivariate design. Similar analysis was performed on P300 peak amplitudes for the target.Results-The high-risk group showed significantly lower parietal post-stimulus evoked and total power in the delta band for targets. A decrease in total power was seen centrally and parietally in theta band. The P300 peak amplitude in the parietal electrodes was also significantly lower in the high-risk group.Conclusions-The decreased total theta power and total and evoked delta power for visual targets in high risk individuals may serve as an endophenotypic marker in the development of alcoholism and other disinhibitory disorders. The differences seen between the offspring of alcoholics and controls may have a cholinergic basis. The ERO measures appear to be more robust than the P300 amplitude in differentiating the groups.

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Section: Introductionmentioning

confidence: 99%

Delta and theta oscillations as risk markers in adolescent offspring of alcoholics

Rangaswamy

Jones

Porjesz

et al. 2007

International Journal of Psychophysiology

117

136

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“…Hence, throughout the study and in keeping with the literature previously discussed, the brain is conceptualised as a system comprising a number of band-limited sources or oscillators (Karakaş et al, 2000;Buzsáki and Draguhn, 2004). At rest, the system is in its most basic, spontaneous and "defaultmode" state.…”

Section: Introductionmentioning

confidence: 99%

“…A large body of literature has attempted to characterize the functional and clinical correlates of these relatively fast oscillations. Başar's empirically based theory of oscillatory neural assemblies (Başar, :1999 suggests that these oscillations reflect the brain's information processing, each representing multiple functions selectively distributed in the brain; their activity and interactions are coordinated in cognition (Karakaş et al, 2000). Furthermore, these oscillators interact with each other and work together at various levels of synchrony; they can temporally co-exist in the same or different neural structures, and slower oscillators appear to group and modulate faster ones (Buzsáki and Draguhn, 2004;Balduzzi et al, 2008;He et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

“…Stimulus-based tasks load the brain and tax the underlying oscillators eliciting a definitive standard evoked response in the EEG, namely the P300 (Polich, 2007). This event-related potential (ERP) has been associated with task-relevant attention and memory, and is highly sensitive to cognitive load (Karakaş et al, 2000;Herrmann and Knight, 2001;Datta et al, 2007;Polich, 2007;Smallwood et al, 2007). Its amplitude reflects the probability and task-relevance of a stimulus while its latency indicates the duration of stimulus evaluation (Polich, 2007).…”

Section: Introductionmentioning

confidence: 99%

“…The third stimulus is the infrequent non-target 'distractor' that does not require a response but is there to disrupt the attentional system (Katayama and Polich, 1996;Comerchero and Polich, 1998;Hagen et al, 2006). This task is more complex than the SART, and engages a number of important resources including attention allocation, short term memory and response selection (Karakaş et al, 2000). Furthermore, the difficulty level of this paradigm can be adjusted by varying the perceptual discrimination difficulty between the target and standard stimuli (Comerchero and Polich, 1998;Hagen et al, 2006, Polich, 2007.…”

Section: Introductionmentioning

confidence: 99%

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Neuronal oscillations in the EEG under varying cognitive load: A comparative study between slow waves and faster oscillations

Demanuele

Broyd

Sonuga‐Barke

et al. 2013

Clinical Neurophysiology

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the support of our participants, Suzannah Helps (Developmental Brain-Behaviour Laboratory, School of Psychology, University of Southampton, UK) for her contributions to the task design, and Daniel Durstewitz (Central Institute of Mental Health, Mannheim, Germany) for useful comments on the manuscript. We also thank all three anonymous reviewers for their constructive comments. AbstractObjective: This study has been specifically designed to investigate very low frequency neuronal oscillations (VLFO, <0.5 Hz) during resting states and during goal-directed tasks of graded difficulty levels, quantify the changes that the slow waves undergo in these conditions and compare them with those for higher frequency bands (namely delta, theta and alpha).Methods: To this end we developed a multistage signal processing methodology comprising blind source separation coupled with a neural network based feature extraction and classification method.Results: Changes in the amplitude and phase of brain sources estimates in the VLF band between rest and task were enhanced with increased task difficulty, but remained lower than those experienced in higher frequency bands. The slow wave variations were also significantly correlated with task performance measures, and hence with the level of task-directed attention.Conclusions: These findings suggest that besides their prominent sensitivity to external stimulation, VLFOs also contribute to the cortical ongoing background activity which may not be specifically related to task-specific attention and performance.Significance: Our work provides important insight into the association between VLF brain activity and conventional EEG frequency bands, and presents a novel framework for assessing neural activity during various mental conditions and psychiatric states. Highlights• We present a novel approach for exploring the functional relationship between very low frequency EEG oscillations (VLFO, <0.5 Hz) recorded at rest and those following the transition to goaldirected tasks of graded difficulty levels.• We show that slow waves (i) are attenuated but not extinguished following a rest to task transition, and (ii) are sensitive to variations in cognitive load; (iii) the rest-to-task changes in the slow wave band correlate with performance measures and (iv) the changes are lower than those in higher frequency bands, tentatively suggesting the VLFOs' contribution to the cortical ongoing background activity.• We present a new signal processing methodology for quantifying changes in band-limited EEG activity -this method, developed to gain insight into the neurophysiological role of the slow waves, could be explored with respect to altered functioning of brain oscillators in psychiatric and neurobehavioural disorders such as schizophrenia and ADHD. C. Demanuele et al., 20123

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Event‐Related Potentials

Bressler

Ding

2006

Wiley Encyclopedia of Biomedical Engineering

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It has long been known that the living brains of humans and other mammals generate macroscopic electromagnetic activity that can be recorded from both within and outside the head. From the earliest days of recording this activity, researchers have sought to understand its relation to brain function and to use it to monitor and assess brain state. Continuous records of brain activity, examined without regard to particular points in time, are often useful for determining brain state. However, more detailed knowledge of brain function depends on precise temporal registration of the activity to specific events, either in the external environment or self‐generated. The Event‐Related Potential (ERP) is a temporal signature of macroscopic brain electrical activity related to a sensory, motor, or cognitive event. The Event‐Related Field (ERF) is the magnetic correlate of this activity.

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The genesis of human event-related responses explained through the theory of oscillatory neural assemblies

Cited by 161 publications

References 9 publications

Delta and theta oscillations as risk markers in adolescent offspring of alcoholics

Delta and theta oscillations as risk markers in adolescent offspring of alcoholics

Neuronal oscillations in the EEG under varying cognitive load: A comparative study between slow waves and faster oscillations

Event‐Related Potentials

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