Literature DB >> 24523538

Feature-selective attention in healthy old age: a selective decline in selective attention?

Cliodhna Quigley1, Matthias M Müller.   

Abstract

Deficient selection against irrelevant information has been proposed to underlie age-related cognitive decline. We recently reported evidence for maintained early sensory selection when older and younger adults used spatial selective attention to perform a challenging task. Here we explored age-related differences when spatial selection is not possible and feature-selective attention must be deployed. We additionally compared the integrity of feedforward processing by exploiting the well established phenomenon of suppression of visual cortical responses attributable to interstimulus competition. Electroencephalogram was measured while older and younger human adults responded to brief occurrences of coherent motion in an attended stimulus composed of randomly moving, orientation-defined, flickering bars. Attention was directed to horizontal or vertical bars by a pretrial cue, after which two orthogonally oriented, overlapping stimuli or a single stimulus were presented. Horizontal and vertical bars flickered at different frequencies and thereby elicited separable steady-state visual-evoked potentials, which were used to examine the effect of feature-based selection and the competitive influence of a second stimulus on ongoing visual processing. Age differences were found in feature-selective attentional modulation of visual responses: older adults did not show consistent modulation of magnitude or phase. In contrast, the suppressive effect of a second stimulus was robust and comparable in magnitude across age groups, suggesting that bottom-up processing of the current stimuli is essentially unchanged in healthy old age. Thus, it seems that visual processing per se is unchanged, but top-down attentional control is compromised in older adults when space cannot be used to guide selection.

Entities:  

Keywords:  feature-based attention; healthy aging; human EEG; steady state visual evoked potentials

Mesh:

Year:  2014        PMID: 24523538      PMCID: PMC3921422          DOI: 10.1523/JNEUROSCI.2718-13.2014

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  32 in total

1.  Degradation of stimulus selectivity of visual cortical cells in senescent rhesus monkeys.

Authors:  M T Schmolesky; Y Wang; M Pu; A G Leventhal
Journal:  Nat Neurosci       Date:  2000-04       Impact factor: 24.884

2.  Automatic gain control contrast mechanisms are modulated by attention in humans: evidence from visual evoked potentials.

Authors:  F Di Russo; D Spinelli; M C Morrone
Journal:  Vision Res       Date:  2001-09       Impact factor: 1.886

3.  "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician.

Authors:  M F Folstein; S E Folstein; P R McHugh
Journal:  J Psychiatr Res       Date:  1975-11       Impact factor: 4.791

4.  Sensorimotor slowing with ageing is mediated by a functional dysregulation of motor-generation processes: evidence from high-resolution event-related potentials.

Authors:  Juliana Yordanova; Vasil Kolev; Joachim Hohnsbein; Michael Falkenstein
Journal:  Brain       Date:  2003-11-07       Impact factor: 13.501

5.  The role of attention in visual processing.

Authors:  John H R Maunsell; Erik P Cook
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-08-29       Impact factor: 6.237

6.  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

7.  Independent effects of attentional gain control and competitive interactions on visual stimulus processing.

Authors:  Christian Keitel; Søren K Andersen; Cliodhna Quigley; Matthias M Müller
Journal:  Cereb Cortex       Date:  2012-04-17       Impact factor: 5.357

8.  A new statistic for steady-state evoked potentials.

Authors:  J D Victor; J Mast
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1991-05

Review 9.  Neural mechanisms of selective visual attention.

Authors:  R Desimone; J Duncan
Journal:  Annu Rev Neurosci       Date:  1995       Impact factor: 12.449

10.  A new method for off-line removal of ocular artifact.

Authors:  G Gratton; M G Coles; E Donchin
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1983-04
View more
  8 in total

1.  Ageing and visual spatiotemporal processing.

Authors:  Karin S Pilz; Marina Kunchulia; Khatuna Parkosadze; Michael H Herzog
Journal:  Exp Brain Res       Date:  2015-05-20       Impact factor: 1.972

2.  Selective auditory attention modulates cortical responses to sound location change in younger and older adults.

Authors:  Erol J Ozmeral; David A Eddins; Ann Clock Eddins
Journal:  J Neurophysiol       Date:  2021-07-21       Impact factor: 2.974

3.  The same, but different: Preserved distractor suppression in old age is implemented through an age-specific reactive ventral fronto-parietal network.

Authors:  Brandon K Ashinoff; Stephen D Mayhew; Carmel Mevorach
Journal:  Hum Brain Mapp       Date:  2020-06-23       Impact factor: 5.038

4.  Chemogenetic inhibition of prefrontal projection neurons constrains top-down control of attention in young but not aged rats.

Authors:  Michael R Duggan; Surbhi Joshi; Jacob Strupp; Vinay Parikh
Journal:  Brain Struct Funct       Date:  2021-07-10       Impact factor: 3.748

5.  Flicker-Driven Responses in Visual Cortex Change during Matched-Frequency Transcranial Alternating Current Stimulation.

Authors:  Philipp Ruhnau; Christian Keitel; Chrysa Lithari; Nathan Weisz; Toralf Neuling
Journal:  Front Hum Neurosci       Date:  2016-04-26       Impact factor: 3.169

6.  Large-scale network-level processes during entrainment.

Authors:  Chrysa Lithari; Carolina Sánchez-García; Philipp Ruhnau; Nathan Weisz
Journal:  Brain Res       Date:  2016-02-01       Impact factor: 3.252

7.  Differential Impact of Interference on Internally- and Externally-Directed Attention.

Authors:  David A Ziegler; Jacqueline R Janowich; Adam Gazzaley
Journal:  Sci Rep       Date:  2018-02-06       Impact factor: 4.379

8.  Cognitive Load Changes during Music Listening and its Implication in Earcon Design in Public Environments: An fNIRS Study.

Authors:  Eunju Jeong; Hokyoung Ryu; Geonsang Jo; Jaehyeok Kim
Journal:  Int J Environ Res Public Health       Date:  2018-09-21       Impact factor: 3.390

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.