Long-term intra-individual variability of the background EEG in normals

Kondacs, András; Szabó, Mihály

doi:10.1016/s1388-2457(99)00122-4

Cited by 178 publications

(123 citation statements)

References 18 publications

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“…Recent research has demonstrated a test-retest reliability, between odd and even segments thus selected, ranging from 0.96 to 0.99 across the variables used in this study (Kondacs & Szabo, 1999).…”

Section: Methodsmentioning

confidence: 98%

Invariant Reversible QEEG Effects of Anesthetics

John

Prichep

Kox

et al. 2001

Consciousness and Cognition

253

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Section: Methodsmentioning

confidence: 98%

Invariant Reversible QEEG Effects of Anesthetics

John

Prichep

Kox

et al. 2001

Consciousness and Cognition

253

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“…Between-subject variability of EEG patterns has been observed not only among brain-damaged subjects but also among healthy control subjects (Campanella et al, 1999). By contrast, intraindividual EEG patterns have been reported to be quite stable, even over several months (Vuga, Fox, Cohn, Kovacs, & George, 2006;Condacs & Szabó, 1999).…”

Section: Introductionmentioning

confidence: 96%

ERP Correlates of Word Production before and after Stroke in an Aphasic Patient

Laganaro

Morand

Michel

et al. 2011

Journal of Cognitive Neuroscience

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Abstract■ Changes in brain activity characterizing impaired speech production after brain damage have usually been investigated by comparing aphasic speakers with healthy subjects because prestroke data are normally not available. However, when interpreting the results of studies of stroke patients versus healthy controls, there is an inherent difficulty in disentangling the contribution of neuropathology from other sources of between-subject variability. In the present work, we had an unusual opportunity to study an aphasic patient with severe anomia who had incidentally performed a picture naming task in an ERP study as a control subject one year before suffering a left hemisphere stroke. The fortuitous recording of this patientʼs brain activity before his stroke allows direct comparison of his pre-and poststroke brain activity in the same language production task. The subject did not differ from other healthy subjects before his stroke, but presented major electrophysiological differences after stroke, both in comparison to himself before stroke and to the control group. ERP changes consistently appeared after stroke in a specific time window starting about 250 msec after picture onset, characterized by a single divergent but stable topographic configuration of the scalp electric field associated with a cortical generator abnormally limited to left temporal posterior perilesional areas. The patientʼs pattern of anomia revealed a severe lexicalphonological impairment and his ERP responses diverged from those of healthy controls in the time window that has previously been associated with lexical-phonological processes during picture naming. Given that his prestroke ERPs were indistinguishable from those of healthy controls, it seems highly likely that the change in his poststroke ERPs is due to changes in language production processes as a consequence of stroke. The patientʼs neurolinguistic deficits, combined with the ERPs results, provide unique evidence for the role of left temporal cortex in lexicalphonological processing from about 250 to 450 msec during word production. ■

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“…The AF is characterized by a remarkably high relative and mean test-retest stability in samples of healthy individuals (Deakin and Exley, 1979;Gasser et al, 1985;Kondacs and Szabó, 1999;Salinsky et al, 1991), with test-retest intervals ranging up to several years (Kondacs and Szabó, 1999). Stability coefficients of AF derived from EEG recordings with closed eyes were found to be typically around .75 to .90, with higher correlations for shorter test-retest intervals.…”

Section: Introductionmentioning

confidence: 98%

Individual alpha peak frequency is related to latent factors of general cognitive abilities

et al. 2013

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Some eighty years after the discovery of the human electroencephalogram (EEG) and its dominant rhythm, alpha (~10 Hz), the neurophysiological functions and behavioral correlates of alpha oscillations are still under debate. Similarly, the biological mechanisms contributing to the general factor of intelligence, or g, have been under scrutiny for decades. Individual alpha frequency (IAF), a trait-like parameter of the EEG, has been found to correlate with individual differences in cognitive performance and cognitive abilities. Informed by large-scale theories of neural organization emphasizing the general functional significance of oscillatory activity, the present study replicates and extends these findings by testing the hypothesis that IAF is related to intelligence at the level of g, rather than at the level of specific cognitive abilities. Structural equation modeling allowed us to statistically control for measurement error when estimating the association between IAF and intellectual functioning. In line with our hypothesis, we found a statistically reliable and substantial correlation between IAF and g (r = .40). The magnitude of this correlation did not differ significantly between younger and older adults, and captured all of the covariation between IAF and the cognitive abilities of reasoning, memory, and perceptual speed. The observed association between IAF and g provides a parsimonious explanation for the commonly observed diffuse pattern of correlations between IAF and cognitive performance. We conclude that IAF is a marker of global architectural and functional properties of the human brain.

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Long-term intra-individual variability of the background EEG in normals

Cited by 178 publications

References 18 publications

Invariant Reversible QEEG Effects of Anesthetics

Invariant Reversible QEEG Effects of Anesthetics

ERP Correlates of Word Production before and after Stroke in an Aphasic Patient

Individual alpha peak frequency is related to latent factors of general cognitive abilities

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