EEG and intelligence: Relations between EEG coherence, EEG phase delay and power

Thatcher, Robert W.; North, Duane M.; Biver, Carl J.

doi:10.1016/j.clinph.2005.04.026

Cited by 264 publications

(255 citation statements)

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“…From this perspective, individual differences in intelligence also depend on differences in the efficiency of communication between widely distributed brain regions (cf. Anokhin et al, 1999;Jausovec and Jausovec, 2000;Lee et al, 2012;Neubauer and Fink, 2009a,b;Thatcher et al, 2005). Oscillatory neural activity together with the notion of the 'small-world' architecture of neural systems (cf.…”

Section: Neural Mechanisms Contributing To the Association Between Iamentioning

confidence: 99%

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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Section: Neural Mechanisms Contributing To the Association Between Iamentioning

confidence: 99%

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

et al. 2013

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“…Attention; Creativity; Hemispheric Asymmetry; Insight; Problem Solving; Resting State Systematic, relatively stable, patterns of resting-state brain activity are associated with aspects of personality, intelligence, psychopathology, and neurological disorder (Davidson, 2003;John et al, 1988;Kumari et al, 2004;Thatcher et al, 2005), perhaps reflecting subtle differences in neuroanatomy or neurotransmitter levels (John et al, 1988). The existence of such associations suggests the possibility that resting-state neural activity may also be correlated with individual differences in the event-related, goal-oriented, cognitive processes that people use to negotiate the world around them, such as those used in problem solving.…”

Section: Introductionmentioning

confidence: 99%

The origins of insight in resting-state brain activity

et al. 2008

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People can solve problems in more than one way. Two general strategies involve (A) methodical, conscious, search of problem-state transformations, and (B) sudden insight, with abrupt emergence of the solution into consciousness. This study elucidated the influence of initial resting brain-state on subjects' subsequent strategy choices. High-density electroencephalograms (EEGs) were recorded from subjects at rest who were subsequently directed to solve a series of anagrams. Subjects were divided into two groups based on the proportion of anagram solutions derived with self-reported insight versus search. Reaction-time and accuracy results were consistent with different cognitive problem-solving strategies used for solving anagrams with versus without insight. Spectral analyses yielded group differences in resting-state EEG supporting hypotheses concerning insight-related attentional diffusion and right-lateralized hemispheric asymmetry. These results reveal a relationship between resting-state brain activity and problem-solving strategy, and, more generally, a dependence of event-related neural computations on the preceding resting-state. KeywordsAttention; Creativity; Hemispheric Asymmetry; Insight; Problem Solving; Resting State Systematic, relatively stable, patterns of resting-state brain activity are associated with aspects of personality, intelligence, psychopathology, and neurological disorder (Davidson, 2003;John et al., 1988;Kumari et al., 2004;Thatcher et al., 2005), perhaps reflecting subtle differences in neuroanatomy or neurotransmitter levels (John et al., 1988). The existence of such associations suggests the possibility that resting-state neural activity may also be correlated with individual differences in the event-related, goal-oriented, cognitive processes that people use to negotiate the world around them, such as those used in problem solving.The present study examined the hypothesis that resting-state neural activity influences the cognitive strategies people use to solve problems, in particular, the general strategies which result in problem solutions derived either by methodical search or by sudden insight. Determining whether the tendency to solve problems by search versus insight is influenced by Send editorial correspondence to John Kounios,

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“…Analysis of absolute power reveals the increases in theta and delta activities and decreases in alpha and beta powers that occur in AD patients 8 , and analysis of coherence shows the temporal relationships between different regions, that is, it measures functional connectivity between regions 9 . In patients with mild cognitive impairment or AD/PD dementia, absolute power and coherence measurements correlate significantly with performance in neuropsychological tests 10,11 .…”

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confidence: 99%

Coherence of brain electrical activity: a quality of life indicator in Alzheimer’s disease?Coerência da atividade elétrica cerebral: indicador da qualidade de vida na doença de Alzheimer?

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Giordano

2015

Arq. Neuro-Psiquiatr.

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Objective To investigate the relationships between quality of life (QOL) and clinical and electroencephalogram (EEG) aspects in patients with Alzheimer’s disease (AD). Method Twenty-eight patients with mild or moderate AD, 31 with Parkinson’s disease (PD), and 27 normal controls (NC) were submitted to: CERAD neuropsychological battery, Hamilton Depression and Anxiety Rating Scales, Functional Activities Questionnaire, QOL scale for patients with AD, and quantitative EEG measures. Results AD and PD patients had similar QOL (31.0 ± 5.8; 31.7 ± 4.8, respectively), worse than that of NC (37.5 ± 6.3). AD patients had lower global interhemispheric theta coherence (0.49 ± 0.04; 0.52 ± 0.05; 0.52 ± 0.05; respectively) than PD and NC. Multiple linear regression for QOL of AD patients revealed that global interhemispheric theta coherence, and Hamilton depression scores were significant factors (coefficients; 58.2 and -0.27, respectively; R2, 0.377). Conclusion Interhemispheric coherence correlates with QOL regardless of cognitive and functional variables and seems to be a neurophysiological indicator of QOL in AD patients.

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EEG and intelligence: Relations between EEG coherence, EEG phase delay and power

Cited by 264 publications

References 23 publications

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

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

The origins of insight in resting-state brain activity

Coherence of brain electrical activity: a quality of life indicator in Alzheimer’s disease?Coerência da atividade elétrica cerebral: indicador da qualidade de vida na doença de Alzheimer?

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