Illumination influences working memory: An EEG study

Park, Jin Y.; Min, Byoung-Kyong; Jung, Young Chul; Pak, Hyensou; Jeong, Yeon Hong; Kim, Eosu

doi:10.1016/j.neuroscience.2013.05.016

Cited by 38 publications

(26 citation statements)

References 38 publications

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“…Moreover, theta increase may not be linked to behavioural success per se, as increased theta activation could be observed under more difficult conditions, without necessarily affecting behaviour (Park et al 2013). …”

Section: Discussionmentioning

confidence: 99%

Frontal Midline Theta Reflects Individual Task Performance in a Working Memory Task

et al. 2014

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Frontal midline (fm-)theta activity has been related to working memory (WM) processes, as it typically increases with WM load. The robustness of this effect, however, varies across studies and subjects, putting limits to its interpretation. We hypothesized that variation in the fm-theta effect may reflect individual differences in task difficulty with increasing WM load as indicated by behavioural responses. We further tested whether effects in the alpha range are robust markers of WM load. We recorded 64-channel EEG from 24 healthy adults while they memorized either 2 or 4 unfamiliar symbols (low vs. high WM load) in a modified Sternberg task. The last 2 s of the retention phase were analyzed for WM load-related changes in the theta (5-7 Hz) and alpha range (lower: 8-10 Hz, upper: 10.5-12.5 Hz). Higher WM load led to less accurate and slower responses. The increase of fm-theta with WM load was most pronounced at fm electrodes, localized to anterior cingulate regions, and correlated with the participants' decrease in accuracy due to higher WM load. Alpha peak frequency increased in the high compared to the low WM load condition, corresponding to a decrease in lower alpha range across all channels. The results demonstrate that previously reported variation in fm-theta workload effects can partly be explained by variation in task difficulty indexed by individual task accuracy. Moreover, the results also demonstrate that alpha WM load effects are prominent when separating upper and lower alpha. AbstractFrontal midline (fm-)theta activity has been related to working memory (WM) processes, as it typically increases with WM load. The robustness of this effect, however, varies across studies and subjects, putting limits to its interpretation. We hypothesized that variation in the fm-theta effect may reflect individual differences in task difficulty with increasing WM load as indicated by behavioural responses. We further tested whether effects in the alpha range are more robust markers of WM load. We recorded 64-channel EEG from 24 healthy adults while they memorized either 2 or 4 unfamiliar symbols (low versus high WM load) in a modified Sternberg task. The last 2 seconds of the retention phase were analyzed for WM load-related changes in the theta (5-7 Hz) and alpha range (lower: 8-10 Hz, upper: 10.5-12.5 Hz). Higher WM load led to less accurate and slower responses. The increase of fm-theta with WM load was most pronounced at frontal midline electrodes, localized to anterior cingulate regions, and correlated with the participants' decrease in accuracy due to higher WM load. Alpha peak frequency increased in the high compared to the low WM load condition, corresponding to a decrease in lower alpha range across all channels. The results demonstrate that previously reported variation in fm-theta workload effects can partly be explained by variation in task difficulty indexed by task accuracy. Moreover, the results also demonstrate that alpha WM load effects are prominent when separating upper and lower alpha.

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Section: Discussionmentioning

confidence: 99%

Frontal Midline Theta Reflects Individual Task Performance in a Working Memory Task

et al. 2014

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“…In contrast to theta rhythm that primarily covers frontal cortical areas and alpha that covers posterior areas of the brain, beta rhythm has no typical spatial distribution. In five studies beta was analyzed at posterior sites (Bashivan et al, 2014;Heinrichs-Graham and Wilson, 2015;Kottlow et al, 2015;Michels et al, 2010;Pavlov and Kotchoubey, 2017), in other five studies at frontal sites (Brookes et al, 2011;Itthipuripat et al, 2013;Onton et al, 2005;Park et al, 2013;Wilson et al, 1999), and in four studies both frontal and posterior sites were included into the analysis (Altamura et al, 2010;Gao et al, 2018;Poch et al, 2010;Stephane et al, 2010). In one study (Wianda and Ross, 2019) continuous beta suppression over the left central area was shown, whereas the occipital beta behaved similarly to alpha and increased during WM delay.…”

Section: Betamentioning

confidence: 99%

Oscillatory brain activity and maintenance of verbal and visual working memory: a systematic review

Pavlov¹,

Kochoubey²

2020

Preprint

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“…Here, different illumination levels can cause a fusion of variations in many physiological parameters like alterations in subjective alertness, incidence of slow eye movements; plasma melatonin hormone, core body temperature and other ocular physiological changes. [4][5][6][7][8][9][10][11] The lighting or the illumination on specific area caused by the luminous object is entirely dependent on the distance between illuminating area and the luminous object. The equation for illumination Where E is the lighting caused by the luminous object at a distance d, I is the amount of luminous intensity of a respective light source.…”

Section: Changes In the Human Physiological Variables When Subject Exmentioning

confidence: 99%

“…Previous literature describes the altering effects of light in various physiological parameters and EEG spectra when exposed to light with naked eye. [4][5][6] But, in this study the variation of light through optical glasses are illustrated.…”

Section: Introductionmentioning

confidence: 99%