Front Psychol. 2017 May 16;8:713. doi: 10.3389/fpsyg.2017.00713. eCollection 2017.
Does a Flatter General Gradient of Visual Attention Explain Peripheral Advantages and Central Deficits in Deaf Adults?.
Frontiers in psychology
Vincent J Samar, Lauren Berger
Affiliations
Affiliations
- NTID Department of Liberal Studies, Rochester Institute of Technology, RochesterNY, USA.
- PhD Program in Educational Neuroscience, Gallaudet University, WashingtonDC, USA.
PMID: 28559861
PMCID: PMC5433326 DOI: 10.3389/fpsyg.2017.00713
Abstract
Individuals deaf from early age often outperform hearing individuals in the visual periphery on attention-dependent dorsal stream tasks (e.g., spatial localization or movement detection), but sometimes show central visual attention deficits, usually on ventral stream object identification tasks. It has been proposed that early deafness adaptively redirects attentional resources from central to peripheral vision to monitor extrapersonal space in the absence of auditory cues, producing a more evenly distributed attention gradient across visual space. However, little direct evidence exists that peripheral advantages are functionally tied to central deficits, rather than determined by independent mechanisms, and previous studies using several attention tasks typically report peripheral advantages or central deficits, not both. To test the general altered attentional gradient proposal, we employed a novel divided attention paradigm that measured target localization performance along a gradient from parafoveal to peripheral locations, independent of concurrent central object identification performance in prelingually deaf and hearing groups who differed in access to auditory input. Deaf participants without cochlear implants (No-CI), with cochlear implants (CI), and hearing participants identified vehicles presented centrally, and concurrently reported the location of parafoveal (1.4°) and peripheral (13.3°) targets among distractors. No-CI participants but not CI participants showed a central identification accuracy deficit. However, all groups displayed equivalent target localization accuracy at peripheral and parafoveal locations and nearly parallel parafoveal-peripheral gradients. Furthermore, the No-CI group's central identification deficit remained after statistically controlling peripheral performance; conversely, the parafoveal and peripheral group performance equivalencies remained after controlling central identification accuracy. These results suggest that, in the absence of auditory input, reduced central attentional capacity is not necessarily associated with enhanced peripheral attentional capacity or with flattening of a general attention gradient. Our findings converge with earlier studies suggesting that a general graded trade-off of attentional resources across the visual field does not adequately explain the complex task-dependent spatial distribution of deaf-hearing performance differences reported in the literature. Rather, growing evidence suggests that the spatial distribution of attention-mediated performance in deaf people is determined by sophisticated cross-modal plasticity mechanisms that recruit specific sensory and polymodal cortex to achieve specific compensatory processing goals.
Keywords: attention; central deficit; cochlear implant; cross-modal plasticity; deafness; peripheral advantage
References
- Brain Cogn. 1985 Jul;4(3):313-27 - PubMed
- Trends Cogn Sci. 2006 Nov;10(11):512-8 - PubMed
- Brain Cogn. 2013 Jun;82(1):117-26 - PubMed
- J Deaf Stud Deaf Educ. 2013 Summer;18(3):344-59 - PubMed
- Brain Topogr. 2012 Jul;25(3):272-84 - PubMed
- J Cogn Neurosci. 2002 Jul 1;14(5):687-701 - PubMed
- Trends Cogn Sci. 2010 Sep;14(9):400-10 - PubMed
- Neural Plast. 2012;2012:197264 - PubMed
- Brain Res Cogn Brain Res. 2001 Mar;11(1):171-83 - PubMed
- Front Psychol. 2013 Feb 04;4:33 - PubMed
- Dev Psychol. 1998 Sep;34(5):840-50 - PubMed
- Brain Res Cogn Brain Res. 2004 Sep;21(1):1-10 - PubMed
- Exp Brain Res. 1979;37(3):475-94 - PubMed
- Nat Neurosci. 2010 Nov;13(11):1421-7 - PubMed
- J Speech Lang Hear Res. 2003 Oct;46(5):1166-83 - PubMed
- Neuropsychologia. 2016 Nov;92 :69-78 - PubMed
- J Neurosci. 2012 Jul 11;32(28):9626-38 - PubMed
- Neuroimage. 2012 Mar;60(1):661-72 - PubMed
- J Speech Lang Hear Res. 2005 Dec;48(6):1529-37 - PubMed
- J Neurosci. 2000 Sep 1;20(17):RC93 - PubMed
- Psychol Rev. 1990 Oct;97(4):523-47 - PubMed
- Brain Res. 1987 Mar 10;405(2):268-83 - PubMed
- Appl Neuropsychol Adult. 2013 Feb 13;:null - PubMed
- J Speech Lang Hear Res. 2002 Apr;45(2):403-13 - PubMed
- Percept Psychophys. 1999 Jul;61(5):837-59 - PubMed
- PLoS One. 2016 Feb 05;11(2):e0148466 - PubMed
- PLoS One. 2009 May 20;4(5):e5640 - PubMed
- Ear Hear. 2005 Aug;26(4):389-408 - PubMed
- J Deaf Stud Deaf Educ. 2016 Apr;21(2):122-8 - PubMed
- Brain Cogn. 2002 Jun;49(1):170-81 - PubMed
- Phys Life Rev. 2010 Sep;7(3):269-84 - PubMed
- Front Aging Neurosci. 2014 Jan 16;5:101 - PubMed
- Trends Cogn Sci. 2009 Feb;13(2):65-73 - PubMed
- Hear Res. 2014 Mar;309:94-102 - PubMed
- Psychon Bull Rev. 2003 Mar;10(1):210-9 - PubMed
- Curr Opin Neurobiol. 1994 Apr;4(2):157-65 - PubMed
- Nat Rev Neurosci. 2002 Jun;3(6):443-52 - PubMed
- Optom Vis Sci. 2005 Aug;82(8):724-31 - PubMed
- Vision Res. 2012 Sep 15;69:10-22 - PubMed
- PLoS One. 2012;7(5):e37527 - PubMed
- PLoS One. 2014 Feb 28;9(2):e90498 - PubMed
- Optom Vis Sci. 1994 Dec;71(12):736-42 - PubMed
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