Pinto Y, van der Leij AR, Sligte IG, et al. Bottom-up and top-down attention are independent. J Vis 2013, 13(3): 16.
Broadbent DE. Perception and communication. Elsevier, 2013.
Driver J. A selective review of selective attention research from the past century. Br J Psychol 2001, 92(Part 1): 53–78.
Baluch F, Itti L. Mechanisms of top-down attention. Trends Neurosci 2011, 34(4): 210–224.
Sarter M, Givens B, Bruno JP. The cognitive neuroscience of sustained attention: where top-down meets bottom-up. Brain Res Brain Res Rev 2001, 35(2): 146–160.
Coull JT, Nobre AC. Where and when to pay attention: the neural systems for directing attention to spatial locations and to time intervals as revealed by both PET and fMRI. J Neurosci 1998, 18(18): 7426–7435.
Capotosto P, Babiloni C, Romani GL, et al. Frontoparietal cortex controls spatial attention through modulation of anticipatory alpha rhythms. J Neurosci 2009, 29(18): 5863–5872.
Long NM, Kuhl BA. Bottom-up and top-down factors differentially influence stimulus representations across large-scale attentional networks. J Neurosci 2018, 38(10): 2495–2504.
Kim NY, Kastner S. A biased competition theory for the developmental cognitive neuroscience of visuo-spatial attention. Curr Opin Psychol 2019, 29: 219–228.
Posner MI. Orienting of attention. Q J Exp Psychol 1980, 32(1): 3–25.
Doricchi F, Macci E, Silvetti M, et al. Neural correlates of the spatial and expectancy components of endogenous and stimulus-driven orienting of attention in the Posner task. Cereb Cortex 2010, 20(7): 1574–1585.
Agmon G, Yahav PH, Ben-Shachar M, et al. Attention to speech: mapping distributed and selective attention systems. Cereb Cortex 2022, 32(17): 3763–3776.
Johnson JA, Zatorre RJ. Neural substrates for dividing and focusing attention between simultaneous auditory and visual events. Neuroimage 2006, 31(4): 1673–1681.
Yang Z, Mayer AR. An event-related FMRI study of exogenous orienting across vision and audition. Hum Brain Mapp 2014, 35(3): 964–974.
Lukas S, Philipp AM, Koch I. Switching attention between modalities: further evidence for visual dominance. Psychological Research 2010, 74(3): 255–267.
Moisala M, Salmela V, Salo E, et al. Brain activity during divided and selective attention to auditory and visual sentence comprehension tasks. Front Hum Neurosci 2015, 9: 86.
Salo E, Salmela V, Salmi J, et al. Brain activity associated with selective attention, divided attention and distraction. Brain Res 2017, 1664: 25–36.
Santangelo V, Fagioli S, Macaluso E. The costs of monitoring simultaneously two sensory modalities decrease when dividing attention in space. Neuroimage 2010, 49(3): 2717–2727.
Horwitz B, Warner B, Fitzer J, et al. Investigating the neural basis for functional and effective connectivity. Application to fMRI. Philos Trans R Soc Lond B Biol Sci 2005, 360(1457): 1093–1108.
Friston KJ. Functional and effective connectivity in neuroimaging: a synthesis. Hum Brain Mapp 1994, 2(1/2): 56–78.
Roebroeck A, Formisano E, Goebel R. Mapping directed influence over the brain using Granger causality and fMRI. Neuroimage 2005, 25(1): 230–242.
Santangelo V. Large-scale brain networks supporting divided attention across spatial locations and sensory modalities. Front Integr Neurosci 2018, 12: 8.
Qiao L, Xu MS, Luo X, et al. Flexible adjustment of the effective connectivity between the fronto-parietal and visual regions supports cognitive flexibility. Neuroimage 2020, 220: 117158.
Friston KJ, Holmes AP, Worsley KJ, et al. Statistical parametric maps in functional imaging: a general linear approach. Hum Brain Mapp 1994, 2(4): 189–210.
Cocosco CA, Kollokian V, Kwan RKS, et al. BrainWeb: online interface to a 3D MRI simulated brain database. Neuroimage 1997, 5(4): S425
Ashburner J, Friston KJ. Nonlinear spatial normalization using basis functions. Hum Brain Mapp 1999, 7(4): 254–266.
Friston KJ, Fletcher P, Josephs O, et al. Event-related fMRI: characterizing differential responses. Neuroimage 1998, 7(1): 30–40.
Friston KJ, Penny W, Phillips C, et al. Classical and Bayesian inference in neuroimaging: theory. Neuroimage 2002, 16(2): 465–483.
van Essen DC. A Population-Average, Landmark- and Surface-based (PALS) atlas of human cerebral cortex. Neuroimage 2005, 28(3): 635–662.
van Essen DC. Cortical cartography and caret software. Neuroimage 2012, 62(2): 757–764.
Wen XT, Liu YJ, Yao L, et al. Top-down regulation of default mode activity in spatial visual attention. J Neurosci 2013, 33(15): 6444–6453.
Wu GR, Liao W, Stramaglia S, et al. A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data. Med Image Anal 2013, 17(3): 365–374.
Massaro DW, Simpson JA. Speech perception by ear and eye: a paradigm for psychological inquiry. New York: Psychology Press,2014.
Talsma D, Woldorff MG. Selective attention and multisensory integration: multiple phases of effects on the evoked brain activity. J Cogn Neurosci 2005, 17(7): 1098–1114.
Koelewijn T, Bronkhorst A, Theeuwes J. Attention and the multiple stages of multisensory integration: a review of audiovisual studies. Acta Psychol (Amst) 2010, 134(3): 372–384.
Talsma D, Senkowski D, Soto-Faraco S, et al. The multifaceted interplay between attention and multisensory integration. Trends Cogn Sci 2010, 14(9): 400–410.
Alais D, Newell FN, Mamassian P. Multisensory processing in review: from physiology to behaviour. Seeing Perceiving 2010, 23(1): 3–38.
Keil J, Senkowski D. Neural oscillations orchestrate multisensory processing. Neuroscientist 2018, 24(6): 609–626.
Cona G, Scarpazza C. Where is the “where” in the brain? A meta-analysis of neuroimaging studies on spatial cognition. Hum Brain Mapp 2019, 40(6): 1867–1886.
Ptak R, Schnider A, Fellrath J. The dorsal frontoparietal network: a core system for emulated action. Trends Cogn Sci 2017, 21(8): 589–599.
Shulman GL, Pope DL, Astafiev SV, et al. Right hemisphere dominance during spatial selective attention and target detection occurs outside the dorsal frontoparietal network. J Neurosci 2010, 30(10): 3640–3651.
Gitelman DR, Nobre AC, Parrish TB, et al. A large-scale distributed network for covert spatial attention: further anatomical delineation based on stringent behavioural and cognitive controls. Brain 1999, 122 (Pt 6): 1093–1106.
Chica AB, Bartolomeo P, Lupiáñez J. Two cognitive and neural systems for endogenous and exogenous spatial attention. Behav Brain Res 2013, 237: 107–123.
Duecker F, Formisano E, Sack AT. Hemispheric differences in the voluntary control of spatial attention: direct evidence for a right-hemispheric dominance within frontal cortex. J Cogn Neurosci 2013, 25(8): 1332–1342.
Zago L, Petit L, Jobard G, et al. Pseudoneglect in line bisection judgement is associated with a modulation of right hemispheric spatial attention dominance in right-handers. Neuropsychologia 2017, 94: 75–83.
Capotosto P, Tosoni A, Spadone S, et al. Anatomical segregation of visual selection mechanisms in human parietal cortex. J Neurosci 2013, 33(14): 6225–6229.
Du M, Basyouni R, Parkinson C. How does the brain navigate knowledge of social relations? Testing for shared neural mechanisms for shifting attention in space and social knowledge. Neuroimage 2021, 235: 118019.
Chica AB, Paz-Alonso PM, Valero-Cabré A, et al. Neural bases of the interactions between spatial attention and conscious perception. Cereb Cortex 2013, 23(6): 1269–1279.
Moerel D, Rich AN, Woolgar A. Selective attention and decision-making have separable neural bases in space and time. bioRxiv 2021, .
Wang LY, Li CL, Han ZT, et al. Spatiotemporal and sensory modality attention processing with domain-specific representations in frontoparietal areas. Cereb Cortex 2022, 32(24): 5489–5502.
Jenkins AC. Rethinking cognitive load: a default-mode network perspective. Trends Cogn Sci 2019, 23(7): 531–533.
Mirza MB, Adams RA, Friston K, et al. Introducing a Bayesian model of selective attention based on active inference. Sci Rep 2019, 9(1): 13915.
Whiteley L, Sahani M. Attention in a Bayesian framework. Front Hum Neurosci 2012, 6: 100.
Odegaard B, Wozny DR, Shams L. The effects of selective and divided attention on sensory precision and integration. Neurosci Lett 2016, 614: 24–28.
Poletti M, Rucci M, Carrasco M. Selective attention within the foveola. Nat Neurosci 2017, 20(10): 1413–1417.
Jarbo K, Verstynen TD. Converging structural and functional connectivity of orbitofrontal, dorsolateral prefrontal, and posterior parietal cortex in the human striatum. J Neurosci 2015, 35(9): 3865–3878.
Vossel S, Mathys C, Stephan KE, et al. Cortical coupling reflects Bayesian belief updating in the deployment of spatial attention. J Neurosci 2015, 35(33): 11532–11542.
Lavie N, Hirst A, de Fockert JW, et al. Load theory of selective attention and cognitive control. J Exp Psychol Gen 2004, 133(3): 339–354.
Hausfeld L, Shiell M, Formisano E, et al. Cortical processing of distracting speech in noisy auditory scenes depends on perceptual demand. Neuroimage 2021, 228: 117670.
Matusz PJ, Merkley R, Faure M, et al. Expert attention: Attentional allocation depends on the differential development of multisensory number representations. Cognition 2019, 186: 171–177.
McNab F, Klingberg T. Prefrontal cortex and basal ganglia control access to working memory. Nat Neurosci 2008, 11(1): 103–107.
van Schouwenburg MR, den Ouden HE, Cools R. Selective attentional enhancement and inhibition of fronto-posterior connectivity by the basal Ganglia during attention switching. Cereb Cortex 2015, 25(6): 1527–1534.
Fu D, Weber C, Yang GC, et al. What can computational models learn from human selective attention? A review from an audiovisual unimodal and crossmodal perspective. Front Integr Neurosci 2020, 14: 10.
Mengotti P, Käsbauer AS, Fink GR, et al. Combined TMS-fMRI reveals behavior-dependent network effects of right temporoparietal junction neurostimulation in an attentional belief updating task. Cereb Cortex 2022, 32(21): 4698–4714.
Zhou J, Seeley WW. Network dysfunction in Alzheimer’s disease and frontotemporal dementia: implications for psychiatry. Biol Psychiatry 2014, 75(7): 565–573.
David SP, Ware JJ, Chu IM, et al. Potential reporting bias in fMRI studies of the brain. PLoS One 2013, 8(7): e70104.
Ingre M. Why small low-powered studies are worse than large high-powered studies and how to protect against “trivial” findings in research: comment on Friston (2012). Neuroimage 2013, 81: 496–498.
Lindquist MA, Caffo B, Crainiceanu C. Ironing out the statistical wrinkles in “ten ironic rules”. Neuroimage 2013, 81: 499–502.