Literature DB >> 21206465

Combining computer game-based behavioural experiments with high-density EEG and infrared gaze tracking.

Keith J Yoder1, Matthew K Belmonte.   

Abstract

Experimental paradigms are valuable insofar as the timing and other parameters of their stimuli are well specified and controlled, and insofar as they yield data relevant to the cognitive processing that occurs under ecologically valid conditions. These two goals often are at odds, since well controlled stimuli often are too repetitive to sustain subjects' motivation. Studies employing electroencephalography (EEG) are often especially sensitive to this dilemma between ecological validity and experimental control: attaining sufficient signal-to-noise in physiological averages demands large numbers of repeated trials within lengthy recording sessions, limiting the subject pool to individuals with the ability and patience to perform a set task over and over again. This constraint severely limits researchers' ability to investigate younger populations as well as clinical populations associated with heightened anxiety or attentional abnormalities. Even adult, non-clinical subjects may not be able to achieve their typical levels of performance or cognitive engagement: an unmotivated subject for whom an experimental task is little more than a chore is not the same, behaviourally, cognitively, or neurally, as a subject who is intrinsically motivated and engaged with the task. A growing body of literature demonstrates that embedding experiments within video games may provide a way between the horns of this dilemma between experimental control and ecological validity. The narrative of a game provides a more realistic context in which tasks occur, enhancing their ecological validity (Chaytor & Schmitter-Edgecombe, 2003). Moreover, this context provides motivation to complete tasks. In our game, subjects perform various missions to collect resources, fend off pirates, intercept communications or facilitate diplomatic relations. In so doing, they also perform an array of cognitive tasks, including a Posner attention-shifting paradigm (Posner, 1980), a go/no-go test of motor inhibition, a psychophysical motion coherence threshold task, the Embedded Figures Test (Witkin, 1950, 1954) and a theory-of-mind (Wimmer & Perner, 1983) task. The game software automatically registers game stimuli and subjects' actions and responses in a log file, and sends event codes to synchronise with physiological data recorders. Thus the game can be combined with physiological measures such as EEG or fMRI, and with moment-to-moment tracking of gaze. Gaze tracking can verify subjects' compliance with behavioural tasks (e.g. fixation) and overt attention to experimental stimuli, and also physiological arousal as reflected in pupil dilation (Bradley et al., 2008). At great enough sampling frequencies, gaze tracking may also help assess covert attention as reflected in microsaccades - eye movements that are too small to foveate a new object, but are as rapid in onset and have the same relationship between angular distance and peak velocity as do saccades that traverse greater distances. The distribution of directions of microsaccades correlates with the (otherwise) covert direction of attention (Hafed & Clark, 2002).

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Year:  2010        PMID: 21206465      PMCID: PMC3278334          DOI: 10.3791/2320

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  29 in total

1.  Microsaccades as an overt measure of covert attention shifts.

Authors:  Ziad M Hafed; James J Clark
Journal:  Vision Res       Date:  2002-10       Impact factor: 1.886

2.  EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis.

Authors:  Arnaud Delorme; Scott Makeig
Journal:  J Neurosci Methods       Date:  2004-03-15       Impact factor: 2.390

Review 3.  The ecological validity of neuropsychological tests: a review of the literature on everyday cognitive skills.

Authors:  Naomi Chaytor; Maureen Schmitter-Edgecombe
Journal:  Neuropsychol Rev       Date:  2003-12       Impact factor: 7.444

4.  Direct measurement of skin conductance: a proposal for standardization.

Authors:  D T Lykken; P H Venables
Journal:  Psychophysiology       Date:  1971-09       Impact factor: 4.016

5.  Maximum likelihood estimation: the best PEST.

Authors:  A Pentland
Journal:  Percept Psychophys       Date:  1980-10

6.  Orienting of attention.

Authors:  M I Posner
Journal:  Q J Exp Psychol       Date:  1980-02       Impact factor: 2.143

7.  More than maths and mindreading: sex differences in empathizing/systemizing covariance.

Authors:  Jeffrey M Valla; Barbara L Ganzel; Keith J Yoder; Grace M Chen; Laura T Lyman; Anthony P Sidari; Alex E Keller; Jeffrey W Maendel; Jordan E Perlman; Stephanie K L Wong; Matthew K Belmonte
Journal:  Autism Res       Date:  2010-08       Impact factor: 5.216

8.  Scalp electrode impedance, infection risk, and EEG data quality.

Authors:  T C Ferree; P Luu; G S Russell; D M Tucker
Journal:  Clin Neurophysiol       Date:  2001-03       Impact factor: 3.708

9.  Action video game modifies visual selective attention.

Authors:  C Shawn Green; Daphne Bavelier
Journal:  Nature       Date:  2003-05-29       Impact factor: 49.962

10.  Electroencephalographic brain dynamics following manually responded visual targets.

Authors:  Scott Makeig; Arnaud Delorme; Marissa Westerfield; Tzyy-Ping Jung; Jeanne Townsend; Eric Courchesne; Terrence J Sejnowski
Journal:  PLoS Biol       Date:  2004-06-15       Impact factor: 8.029

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  3 in total

1.  Brief Report: A Gaming Approach to the Assessment of Attention Networks in Autism Spectrum Disorder and Typical Development.

Authors:  Lisa E Mash; Raymond M Klein; Jeanne Townsend
Journal:  J Autism Dev Disord       Date:  2020-07

2.  Autistic traits and individual brain differences: functional network efficiency reflects attentional and social impairments, structural nodal efficiencies index systemising and theory-of-mind skills.

Authors:  Subhadip Paul; Aditi Arora; Rashi Midha; Dinh Vu; Prasun K Roy; Matthew K Belmonte
Journal:  Mol Autism       Date:  2021-01-21       Impact factor: 7.509

3.  Hybrid System for Engagement Recognition During Cognitive Tasks Using a CFS + KNN Algorithm.

Authors:  Fadilla Zennifa; Sho Ageno; Shota Hatano; Keiji Iramina
Journal:  Sensors (Basel)       Date:  2018-10-30       Impact factor: 3.576

  3 in total

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