Opinion Where Does EEG Come From and What Does It Mean ?
By Cohen. 2017
Subfields: Cognitive Neuroscience
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In Cognitive Neuroscience
Citations in the corpus
- The development of theta and alpha neural oscillations from ages 3 to 24 years (2021, background): “Oscillations can be induced by external task manipulations, spontaneously expressed in resting-state or unconstrained conditions, and have been extensively studied in both humans and nonhuman primates (Cohen, 2017).”
- Distributed theta networks support the control of working memory: Evidence from scalp and intracranial EEG (2025, unknown): “Future studies may also evaluate the generalizability of our results to more naturalistic tasks, clinical populations with executive dysfunction, and experimental paradigms using brain stimulation to test causal mechanisms (Cohen, 2017).”
- The impact of a monthly unconditional cash transfer on child brain activity: A 4-year follow-up (2026, unknown): “Traditionally, these bands are thought to be functionally distinct, particularly in adulthood, with unique associations with different neurocognitive processes (Cohen, 2017; Siegel et al., 2012; Tan, Troller-Renfree, et al., 2023).”
- Lifespan brain age prediction based on multiple EEG oscillatory features and sparse group lasso (2025, unknown): “In contrast, electroencephalography (EEG) can effectively capture the neural oscillatory dynamics driven by the excitability of neuronal populations due to its high temporal resolution and non-invasiveness (Cohen, 2017).”
- Periodic and aperiodic neural activity displays age-dependent changes across early-to-middle childhood (2021, background): “Neural oscillations represent a prominent and extensively investigated feature of the EEG record, reflecting synchronised fluctuations in excitability across cortical microcircuits, both within and between broader neuronal networks (Buzsaki & Draguhn, 2004; Cohen, 2017).”
- Inferring Causality from Noninvasive Brain Stimulation in Cognitive Neuroscience (2020, background): “Neuronal oscillations in EEG/magnetoencephalography (MEG) reflect the summed potentials/fields from large synchronized neuron populations with parallelly oriented dendritic trees (Cohen, 2017).”