Brain mechanisms underlying the effects of aging on different aspects of selective attention

NeuroImage

Volumn 91, Issue , 2014, Pages 52-62

  Geerligs, Linda ^a,b   Saliasi, Emi ^b   Maurits, Natasha M ^b   Renken, Remco J ^b   Lorist, Monicque M ^a,b  

^a UNIVERSITY OF GRONINGEN   (Netherlands)

^b UNIVERSITY MEDICAL CENTER GRONINGEN   (Netherlands)

Author keywords

Aging; Enhancement; FMRI; Functional connectivity; Selective attention; Suppression

Indexed keywords

ACCURACY; ADULT; AGED; AGING; ARTICLE; BRAIN FUNCTION; BRAIN REGION; CENTRAL NERVOUS SYSTEM FUNCTION; CONTROLLED STUDY; ELECTROENCEPHALOGRAM; EXECUTIVE FUNCTION; FEMALE; FUNCTIONAL ASSESSMENT; FUNCTIONAL CONNECTIVITY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; IMAGE ANALYSIS; MALE; MENTAL TASK; MIDDLE AGED; NEUROIMAGING; OUTCOME ASSESSMENT; PARTICIPANT OBSERVATION; PRIORITY JOURNAL; RESPONSE TIME; SELECTIVE ATTENTION; SOMATOSENSORY CORTEX; STIMULUS RESPONSE; TASK PERFORMANCE;

AGING; ENHANCEMENT; FMRI; FUNCTIONAL CONNECTIVITY; SELECTIVE ATTENTION; SUPPRESSION;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; AGING; ATTENTION; BRAIN; BRAIN MAPPING; ELECTROENCEPHALOGRAPHY; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LINEAR MODELS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; NEURAL PATHWAYS; OXYGEN; PHOTIC STIMULATION; PSYCHOMOTOR PERFORMANCE; REACTION TIME; YOUNG ADULT;

EID: 84896725743     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2014.01.029     Document Type: Article

References (58)

1. Alain C., McDonald K.L., Ostroff J.M., Schneider B. Aging: a switch from automatic to controlled processing of sounds?. Psychol. Aging 2004, 19(1):125-133.
2. Ashburner J. A fast diffeomorphic image registration algorithm. NeuroImage 2007, 38(1):95-113.
3. Bates D., Maechler M., Bolker B. lme4: linear mixed-effects models using S4 classes. R package version 0.999999-0 2012.
4. Birn R.M., Diamond J.B., Smith M.A., Bandettini P.A. Separating respiratory-variation-related fluctuations from neuronal-activity-related fluctuations in fMRI. NeuroImage 2006, 31(4):1536-1548.
5. Braver T.S. The variable nature of cognitive control: a dual mechanisms framework. Trends Cogn. Sci. 2012, 16(2):106-113.
6. Braver T.S., Gray J.R., Burgess G.C. Explaining the many varieties of working memory variation: dual mechanisms of cognitive control. Variation in Working Memory 2007, 76-106. Oxford University Press. A.R.A. Conway, C. Jarrold, M.J. Kane, A. Miyake, J.N. Towse (Eds.).
7. Braver T.S., Paxton J.L., Locke H.S., Barch D.M. Flexible neural mechanisms of cognitive control within human prefrontal cortex. Proc. Natl. Acad. Sci. U. S. A. 2009, 106(18):7351-7356.
8. Buschman T.J., Miller E.K. Top-down versus bottom-up control of attention in the prefrontal and posterior parietal cortices. Science 2007, 315(5820):1860-1864.
9. Carter C.S., Van Veen V. Anterior cingulate cortex and conflict detection: an update of theory and data. Cogn. Affect. Behav. Neurosci. 2007, 7(4):367-379.
10. Chee M.W., Goh J.O., Venkatraman V., Tan J.C., Gutchess A., Sutton B., Hebrank A., Leshikar E., Park D. Age-related changes in object processing and contextual binding revealed using fMR adaptation. J. Cogn. Neurosci. 2006, 18(4):495-507.
11. Corbetta M., Shulman G.L. Control of goal-directed and stimulus-driven attention in the brain. Nat. Rev. Neurosci. 2002, 3(3):201-215.
12. Corbetta M., Patel G., Shulman G.L. The reorienting system of the human brain: from environment to theory of mind. Neuron 2008, 58(3):306-324.
13. R Core Team R: A Language and Environment for Statistical Computing 2012, R Foundation for Statistical Computing, Vienna, Austria.
14. de Fockert J.W., Ramchurn A., van Velzen J., Bergström Z., Bunce D. Behavioral and ERP evidence of greater distractor processing in old age. Brain Res. 2009, 1282:67-73.
15. Desimone R., Duncan J. Neural mechanisms of selective visual attention. Annu. Rev. Neurosci. 1995, 18:193-222.
16. D'Esposito M., Zarahn E., Aguirre G.K., Rypma B. The effect of normal aging on the coupling of neural activity to the bold hemodynamic response. NeuroImage 1999, 10(1):6-14.
17. Eriksen C., Hamlin R., Breitmeyer R. Temporal factors in visual perception as related to aging. Percept. Psychophys. 1970, 7(6):354-356.
18. Folstein M.F., Folstein S.E., McHugh P.R. 'Mini mental state'. A practical method for grading the cognitive state of patients for the clinician. J. Psychiatr. Res. 1975, 12(3):189-198.
19. Forstmann B.U., Tittgemeyer M., Wagenmakers E., Derrfuss J., Imperati D., Brown S. The speed-accuracy tradeoff in the elderly brain: a structural model-based approach. J. Neurosci. 2011, 31(47):17242-17249.
20. Friston K.J., Buechel C., Fink G.R., Morris J., Rolls E., Dolan R.J. Psychophysiological and modulatory interactions in neuroimaging. NeuroImage 1997, 6(3):218-229.
21. Gazzaley A. Influence of early attentional modulation on working memory. Neuropsychologia 2011, 49(6):1410-1424.
22. Gazzaley A., Cooney J.W., Rissman J., D'Esposito M. Top-down suppression deficit underlies working memory impairment in normal aging. Nat. Neurosci. 2005, 8(10):1298-1300.
23. Gazzaley A., Clapp W., Kelley J., McEvoy K., Knight R.T., D'Esposito M. Age-related top-down suppression deficit in the early stages of cortical visual memory processing. Proc. Natl. Acad. Sci. U. S. A. 2008, 105(35):13122-13126.
24. Geerligs L., Maurits N.M., Renken R.J., Lorist M.M. Reduced specificity of functional connectivity in the aging brain during task performance. Hum. Brain Mapp. 2012, 35(1):319-330.
25. Geerligs L., Saliasi E., Maurits N.M., Lorist M.M. Compensation through increased functional connectivity: neural correlates of inhibition in old and young. J. Cogn. Neurosci. 2012, 24(10):2057-2069.
26. Geerligs L., Saliasi E., Renken R.J., Maurits N.M., Lorist M.M. Flexible connectivity in the aging brain revealed by task modulations. Hum. Brain Mapp 2013, 10.1002/hbm.22437.
27. Gitelman D.R., Penny W.D., Ashburner J., Friston K.J. Modeling regional and psychophysiologic interactions in fMRI: the importance of hemodynamic deconvolution. NeuroImage 2003, 19(1):200-207.
28. Greenhouse S.W., Geisser S. On methods in the analysis of profile data. Psychometrika 1959, 24(2):95-112.
29. Haring A.E., Zhuravleva T.Y., Alperin B.R., Rentz D.M., Holcomb P.J., Daffner K.R. Age-related differences in enhancement and suppression of neural activity underlying selective attention in matched young and old adults. Brain Res. 2013, 1499:69-79.
30. Hillyard S.A., Vogel E.K., Luck S.J. Sensory gain control (amplification) as a mechanism of selective attention: electrophysiological and neuroimaging evidence. Philos. Trans. R. Soc. B Biol. Sci. 1998, 353(1373):1257-1270.
31. Kastner S., Ungerleider L.G. Mechanisms of visual attention in the human cortex. Annu. Rev. Neurosci. 2000, 23:315-341.
32. Koch K., McLean J., Segev R., Freed M.A., Berry M.J., Balasubramanian V., Sterling P. How much the eye tells the brain. Curr. Biol. 2006, 16(14):1428-1434.
33. Kramer A.F., Humphrey D.G., Larish J.F., Logan G.D., Strayer D.L. Aging and inhibition: beyond a unitary view of inhibitory processing in attention. Psychol. Aging 1994, 9(4):491-512.
34. Kuznetsova A., Brockhoff P.B., Christensen R.H.B. lmerTest: tests for random and fixed effects for linear mixed effect models (lmer objects of lme4 package). R-version:2.0-0 2013.
35. Madden D.J., Whiting W.L., Provenzale J.M., Huettel S.A. Age-related changes in neural activity during visual target detection measured by fMRI. Cereb. Cortex 2004, 14(2):143-155.
36. Mager R., Bullinger A.H., Brand S., Schmidlin M., Schärli H., Müller-Spahn F., Störmer R., Falkenstein M. Age-related changes in cognitive conflict processing: an event-related potential study. Neurobiol. Aging 2007, 28(12):1925-1935.
37. Makedonov I., Black S.E., MacIntosh B.J. BOLD fMRI in the white matter as a marker of aging and small vessel disease. PLoS ONE 2013, 8:1-9.
38. Niendam T.A., Laird A.R., Ray K.L., Dean Y.M., Glahn D.C., Carter C.S. Meta-analytic evidence for a superordinate cognitive control network subserving diverse executive functions. Cogn. Affect. Behav. Neurosci. 2012, 12(2):241-268.
39. Nieuwenhuis S., Yeung N., Van Den Wildenberg W., Ridderinkhof K.R. Electrophysiological correlates of anterior cingulate function in a go/no-go task: effects of response conflict and trial type frequency. Cogn. Affect. Behav. Neurosci. 2003, 3(1):17-26.
40. Power J.D., Barnes K.A., Snyder A.Z., Schlaggar B.L., Petersen S.E. Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. NeuroImage 2012, 59(3):2142-2154.
41. Quigley C., Andersen S.K., Schulze L., Grunwald M., Müller M.M. Feature-selective attention: evidence for a decline in old age. Neurosci. Lett. 2010, 474(1):5-8.
42. Rabbitt P. How old and young subjects monitor and control responses for accuracy and speed. Br. J. Psychol. 1979, 70(2):305-311.
43. Reynolds J.H., Chelazzi L. Attentional modulation of visual processing. Annu. Rev. Neurosci. 2004, 27:611-647.
44. Rush B.K., Barch D.M., Braver T.S. Accounting for cognitive aging: context processing, inhibition or processing speed?. Aging Neuropsychol. Cognit. 2006, 13(3-4):588-610.
45. Saad Z.S., Gotts S.J., Murphy K., Chen G., Jo H.J., Martin A., Cox R.W. Trouble at rest: how correlation patterns and group differences become distorted after global signal regression. Brain Connect. 2012, 2(1):25-32.
46. Salthouse T.A. The processing-speed theory of adult age differences in cognition. Psychol. Rev. 1996, 103(3):403-428.
47. Schmitz T.W., Cheng F.H.T., De Rosa E. Failing to ignore: paradoxical neural effects of perceptual load on early attentional selection in normal aging. J. Neurosci. 2010, 30(44):14750-14758.
48. Sebastian A., Baldermann C., Feige B., Katzev M., Scheller E., Hellwig B., Lieb K., Weiller C., Tüscher O., Klöppel S. Differential effects of age on subcomponents of response inhibition. Neurobiol. Aging 2013, 34(9):2183-2193.
49. Shiffrin R.M., Schneider W. Controlled and automatic human information processing: II. Perceptual learning, automatic attending and a general theory. Psychol. Rev. 1977, 84(2):127-190.
50. Spreng R.N., Wojtowicz M., Grady C.L. Reliable differences in brain activity between young and old adults: a quantitative meta-analysis across multiple cognitive domains. Neurosci. Biobehav. Rev. 2010, 34(8):1178-1194.
51. Spreng R.N., Stevens W.D., Chamberlain J.P., Gilmore A.W., Schacter D.L. Default network activity, coupled with the frontoparietal control network, supports goal-directed cognition. NeuroImage 2010, 53(1):303-317.
52. Spreng R.N., Sepulcre J., Turner G.R., Stevens W.D., Schacter D.L. Intrinsic architecture underlying the relations among the default, dorsal attention, and frontoparietal control networks of the human brain. J. Cogn. Neurosci. 2013, 25(1):74-86.
53. Starns J.J., Ratcliff R. The effects of aging on the speed-accuracy compromise: boundary optimality in the diffusion model. Psychol. Aging 2010, 25(2):377-390.
54. Van Dijk K.R.A., Hedden T., Venkataraman A., Evans K.C., Lazar S.W., Buckner R.L. Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization. J. Neurophysiol. 2010, 103(1):297-321.
55. Van Essen D.C., Drury H.A., Dickson J., Harwell J., Hanlon D., Anderson C.H. An integrated software suite for surface-based analyses of cerebral cortex. J. Am. Med. Inform. Assoc. 2001, 8(5):443-459.
56. Vincent J.L., Kahn I., Snyder A.Z., Raichle M.E., Buckner R.L. Evidence for a frontoparietal control system revealed by intrinsic functional connectivity. J. Neurophysiol. 2008, 100(6):3328-3342.
57. Wild-Wall N., Falkenstein M., Hohnsbein J. Flanker interference in young and older participants as reflected in event-related potentials. Brain Res. 2008, 1211:72-84.
58. Zigmond A.S., Snaith R.P. The hospital anxiety and depression scale. Acta Psychiatr. Scand. 1983, 67(6):361-370.