Direct brain recordings fuel advances in cognitive electrophysiology

Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104, USA. <>
Trends in Cognitive Sciences (Impact Factor: 21.97). 02/2010; 14(4):162-71. DOI: 10.1016/j.tics.2010.01.005
Source: PubMed


Electrocorticographic brain recordings in patients with surgically implanted electrodes have recently emerged as a powerful tool for examining the neural basis of human cognition. These recordings measure the electrical activity of the brain directly, and thus provide data with higher temporal and spatial resolution than other human neuroimaging techniques. Here we review recent research in this area and in particular we explain how electrocorticographic recordings have provided insight into the neural basis of human working memory, episodic memory, language, and spatial cognition. In some cases this research has identified patterns of human brain activity that were unexpected on the basis of studies in animals.

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Available from: Michael J Kahana, Oct 01, 2015
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    • "The study of icEEG has been able to generate novel insights into a wide range of cognitive functions ( Jacobs and Kahana , 2010 ; Lachaux et al . , 2012 ) . "
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    ABSTRACT: Invasive intracranial EEG (icEEG) offers a unique opportunity to study human cognitive networks at an unmatched spatiotemporal resolution. To date, the contributions of icEEG have been limited to the individual-level analyses or cohorts whose data are not integrated in any way. Here we discuss how grouped approaches to icEEG overcome challenges related to sparse-sampling, correct for individual variations in response and provide statistically valid models of brain activity in a population. By the generation of whole-brain activity maps, grouped icEEG enables the study of intra and interregional dynamics between distributed cortical substrates exhibiting task-dependent activity. In this fashion, grouped icEEG analyses can provide significant advances in understanding the mechanisms by which cortical networks give rise to cognitive functions.
    Frontiers in Psychology 08/2015; 6:1008. DOI:10.3389/fpsyg.2015.01008 · 2.80 Impact Factor
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    • "Electrocorticography has been widely established as providing spatially and temporally precise information on how brain regions support particular behaviors. However, an underappreciated aspect of ECoG is that it also reveals the specific content of a neuronal network during memory and cognition [56]. Below, I explain how these content-specific ECoG signals elucidate specific neuronal patterns that underlie human memory. "
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    ABSTRACT: The Fifth International Workshop on Advances in Electrocorticography convened in San Diego, CA, on November 7-8, 2013. Advancements in methodology, implementation, and commercialization across both research and in the interval year since the last workshop were the focus of the gathering. Electrocorticography (ECoG) is now firmly established as a preferred signal source for advanced research in functional, cognitive, and neuroprosthetic domains. Published output in ECoG fields has increased tenfold in the past decade. These proceedings attempt to summarize the state of the art.
    Epilepsy & Behavior 12/2014; 41. DOI:10.1016/j.yebeh.2014.09.015 · 2.26 Impact Factor
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    • "Neuronal oscillations have been classified in mainly five distinct frequency bands: delta (1.5-4 Hz), theta (5-7 Hz), alpha (8-12 Hz), beta (13-29 Hz) and gamma (30-80 Hz). Within the same neuronal network each frequency band is usually associated with different cognitive states [13] or sensory, motor and cognitive processes [14] [15] [16] [17] [18] [19] [20]. Delta oscillations are often seen during deep sleep, but recently they have also been linked to cognitive functions such as motivational and reward processes [21] [22] [23]. "
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    ABSTRACT: Neuronal oscillations refer to periodic changes of neuronal activity. A prominent neuronal oscillation, especially in sensorimotor areas, is the beta-frequency-band (∼ 13–29 Hz). Sensorimotor beta oscillations are predominantly linked to motor-related functions such as preparation and/or execution of movements. In addition, beta oscillations have been suggested to play a role in long-range communication between multiple brain areas. In this review, we assess different studies that show that sensorimotor beta oscillations are additionally involved in the visual perception and imagery of biological movements. We propose that sensorimotor beta oscillations reflect a mechanism of attempted matching to internally stored representations of movements. We additionally, provide evidence that beta oscillations play a role for the integration of visual and sensorimotor areas to a functional network that incorporates perceptual components at specific spatial-temporal profiles and transmits information across different areas.
    12/2014; 5(4). DOI:10.2478/s13380-014-0236-4
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