Abstract
How attention is used during visual search is intricately associated with memory. A considerable body of work has demonstrated that representations in both working memory and long-term memory can guide attention in a variety of different circumstances. Neural evidence of such memory-mediated attentional guidance has been elegantly shown using noninvasive electrophysiological measurements of human brain activity. Recently, with the rising popularity of noninvasive brain stimulation techniques, such as transcranial direct current stimulation (tDCS), researchers have been able to gain insight into the causal mechanisms of memory-guided attention. Here, we review our current understanding of the role of memory representations in guiding attention and how tDCS can be used to characterize the mechanisms and establish causal relationships. We further discuss the translational implications of using tDCS to alleviate memory-based attentional deficits in psychiatric disorders, such as schizophrenia.
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Corbetta M, Shulman GL (2002) Control of goal-directed and stimulus-driven attention in the brain. Nat Rev Neurosci 3(3):201
Wolfe JM, Cave KR, Franzel SL (1989) Guided search: an alternative to the feature integration model for visual search. J Exp Psychol Hum Percept Perform 15(3):419
Wolfe JM (1994) Guided search 2.0 a revised model of visual search. Psychon Bull Rev 1(2):202–238
Desimone R, Duncan J (1995) Neural mechanisms of selective visual attention. Annu Rev Neurosci 18(1):193–222
Bundesen C (1990) A theory of visual attention. Psychol Rev 97(4):523
Bundesen C, Habekost T, Kyllingsbæk S (2005) A neural theory of visual attention: bridging cognition and neurophysiology. Psychol Rev 112(2):291
Duncan J, Humphreys GW (1989) Visual search and stimulus similarity. Psychol Rev 96(3):433
Theeuwes J (1993) Visual selective attention: a theoretical analysis. Acta Psychol (Amst) 83(2):93–154
Hamker FH (2004) A dynamic model of how feature cues guide spatial attention. Vision Res 44(5):501–521
Downing PE (2000) Interactions between visual working memory and selective attention. Psychol Sci 11:467–473
Soto D et al (2005) Early, involuntary top-down guidance of attention from working memory. J Exp Psychol Hum Percept Perform 31(2):248
Soto D, Humphreys GW, Rotshtein P (2007) Dissociating the neural mechanisms of memory-based guidance of visual selection. Proc Natl Acad Sci U S A 104(43):17186–17191
Soto D et al (2008) Automatic guidance of attention from working memory. Trends Cogn Sci 12(9):342–348
Olivers CN (2009) What drives memory-driven attentional capture? The effects of memory type, display type, and search type. J Exp Psychol Hum Percept Perform 35(5):1275
Olivers CN, Meijer F, Theeuwes J (2006) Feature-based memory-driven attentional capture: visual working memory content affects visual attention. J Exp Psychol Hum Percept Perform 32(5):1243
Carlisle NB, Woodman GF (2011) When memory is not enough: electrophysiological evidence for goal-dependent use of working memory representations in guiding visual attention. J Cogn Neurosci 23(10):2650–2664
Carlisle NB, Woodman GF (2011) Automatic and strategic effects in the guidance of attention by working memory representations. Acta Psychol (Amst) 137(2):217–225
Downing P, Dodds C (2004) Competition in visual working memory for control of search. Vis Cogn 11(6):689–703
Woodman GF, Luck SJ (2007) Do the contents of visual working memory automatically influence attentional selection during visual search? J Exp Psychol Hum Percept Perform 33(2):363
Han SW, Kim MS (2009) Do the contents of working memory capture attention? Yes, but cognitive control matters. J Exp Psychol Hum Percept Perform 35(5):1292
Kiyonaga A, Egner T, Soto D (2012) Cognitive control over working memory biases of selection. Psychon Bull Rev 19(4):639–646
Houtkamp R, Roelfsema PR (2006) The effect of items in working memory on the deployment of attention and the eyes during visual search. J Exp Psychol Hum Percept Perform 32(2):423
Peters JC, Goebel R, Roelfsema PR (2009) Remembered but unused: the accessory items in working memory that do not guide attention. J Cogn Neurosci 21(6):1081–1091
Luria R, Vogel EK (2011) Visual search demands dictate reliance on working memory storage. J Neurosci 31(16):6199–6207
Dalvit S, Eimer M (2011) Memory-driven attentional capture is modulated by temporal task demands. Vis Cogn 19(2):145–153
Soto D, Humphreys GW (2008) Stressing the mind: the effect of cognitive load and articulatory suppression on attentional guidance from working memory. Percept Psychophys 70(5):924–934
Dombrowe I, Olivers CN, Donk M (2010) The time course of working memory effects on visual attention. Vis Cogn 18(8):1089–1112
Reinhart RM, Woodman GF (2014) High stakes trigger the use of multiple memories to enhance the control of attention. Cereb Cortex 24(8):2022–2035
Olivers CN et al (2011) Different states in visual working memory: when it guides attention and when it does not. Trends Cogn Sci 15(7):327–334
van Moorselaar D, Theeuwes J, Olivers CN (2016) Learning changes the attentional status of prospective memories. Psychon Bull Rev 23(5):1483–1490
Logan GD, Gordon RD (2001) Executive control of visual attention in dual-task situations. Psychol Rev 108(2):393
Chelazzi L et al (1993) A neural basis for visual search in inferior temporal cortex. Nature 363(6427):345
Chelazzi L et al (1998) Responses of neurons in inferior temporal cortex during memory-guided visual search. J Neurophysiol 80(6):2918–2940
Klaver P et al (1999) An event-related brain potential correlate of visual short-term memory. Neuroreport 10(10):2001–2005
Vogel EK, Machizawa MG (2004) Neural activity predicts individual differences in visual working memory capacity. Nature 428(6984):748
Vogel EK, McCollough AW, Machizawa MG (2005) Neural measures reveal individual differences in controlling access to working memory. Nature 438(7067):500
Ikkai A, McCollough AW, Vogel EK (2010) Contralateral delay activity provides a neural measure of the number of representations in visual working memory. J Neurophysiol 103(4):1963–1968
Machizawa MG, Goh CC, Driver J (2012) Human visual short-term memory precision can be varied at will when the number of retained items is low. Psychol Sci 23(6):554–559
Woodman GF, Vogel EK (2008) Selective storage and maintenance of an object’s features in visual working memory. Psychon Bull Rev 15(1):223–229
Luria R et al (2010) Visual short-term memory capacity for simple and complex objects. J Cogn Neurosci 22(3):496–512
Balaban H, Luria R (in press) Using the contralateral delay activity to study online processing of items still within view. In: Pollmann S (ed) Spatial learning and attention guidance, Neuromethods. Springer Nature, New York
Woodman GF, Arita JT (2011) Direct electrophysiological measurement of attentional templates in visual working memory. Psychol Sci 22(2):212–215
Carlisle NB et al (2011) Attentional templates in visual working memory. J Neurosci 31(25):9315–9322
Reinhart RM, Carlisle NB, Woodman GF (2014) Visual working memory gives up attentional control early in learning: ruling out interhemispheric cancellation. Psychophysiology 51(8):800–804
Woodman GF, Carlisle NB, Reinhart RM (2013) Where do we store the memory representations that guide attention? J Vis 13(3):1–1
Gunseli E, Meeter M, Olivers CN (2014) Is a search template an ordinary working memory? Comparing electrophysiological markers of working memory maintenance for visual search and recognition. Neuropsychologia 60:29–38
Gunseli E, Olivers CN, Meeter M (2014) Effects of search difficulty on the selection, maintenance, and learning of attentional templates. J Cogn Neurosci 26(9):2042–2054
Eimer M (1996) The N2pc component as an indicator of attentional selectivity. Electroencephalogr Clin Neurophysiol 99(3):225–234
Kiss M, Van Velzen J, Eimer M (2008) The N2pc component and its links to attention shifts and spatially selective visual processing. Psychophysiology 45(2):240–249
Luck SJ, Kappenman ES (2011) The Oxford handbook of event-related potential components. Oxford University Press, Oxford
Luck SJ (2014) An introduction to the event-related potential technique. MIT Press, Cambridge
Reinhart RM, McClenahan LJ, Woodman GF (2016) Attention’s accelerator. Psychol Sci 27(6):790–798
Reinhart RM, Woodman GF (2015) Enhancing long-term memory with stimulation tunes visual attention in one trial. Proc Natl Acad Sci U S A 112(2):625–630
Reinhart RM, Park S, Woodman GF (2018) Localization and elimination of attentional dysfunction in schizophrenia during visual search. Schizophr Bull 45:96–105
Logan GD (1988) Toward an instance theory of automatization. Psychol Rev 95(4):492
Logan GD (2002) An instance theory of attention and memory. Psychol Rev 109(2):376
Anderson JR (1982) Acquisition of cognitive skill. Psychol Rev 89(4):369
Anderson JR (2000) Learning and memory: an integrated approach. Wiley, Hoboken
Rickard TC (1997) Bending the power law: a CMPL theory of strategy shifts and the automatization of cognitive skills. J Exp Psychol Gen 126(3):288
Schneider W, Shiffrin RM (1977) Controlled and automatic human information processing: I. Detection, search, and attention. Psychol Rev 84(1):1
Shiffrin RM, Schneider W (1977) Controlled and automatic human information processing: II. Perceptual learning, automatic attending and a general theory. Psychol Rev 84(2):127
Neisser U (1963) Decision-time without reaction-time: experiments in visual scanning. Am J Psychol 76(3):376–385
Nickerson RS (1966) Response times with a memory-dependent decision task. J Exp Psychol 72(5):761
Woodman GF et al (2007) The role of working memory representations in the control of attention. Cereb Cortex 17(suppl_1):i118–i124
Wolfe JM (2012) Saved by a log: how do humans perform hybrid visual and memory search? Psychol Sci 23(7):698–703
Moores E et al (2003) Associative knowledge controls deployment of visual selective attention. Nat Neurosci 6(2):182
Chun MM (2000) Contextual cueing of visual attention. Trends Cogn Sci 4(5):170–178
Summerfield JJ et al (2006) Orienting attention based on long-term memory experience. Neuron 49(6):905–916
Stokes MG et al (2012) Long-term memory prepares neural activity for perception. Proc Natl Acad Sci U S A 109(6):E360–E367
Hutchinson JB, Turk-Browne NB (2012) Memory-guided attention: control from multiple memory systems. Trends Cogn Sci 16(12):576–579
Võ MLH, Wolfe JM (2012) When does repeated search in scenes involve memory? Looking at versus looking for objects in scenes. J Exp Psychol Hum Percept Perform 38(1):23
Rosen ML et al (2017) Cortical and subcortical contributions to long-term memory-guided visuospatial attention. Cereb Cortex 28(8):2935–2947
Rosen ML et al (2015) Influences of long-term memory-guided attention and stimulus-guided attention on visuospatial representations within human intraparietal sulcus. J Neurosci 35(32):11358–11363
Rosen ML, Stern CE, Somers DC (2014) Long-term memory guidance of visuospatial attention in a change-detection paradigm. Front Psychol 5:266
Brady TF et al (2008) Visual long-term memory has a massive storage capacity for object details. Proc Natl Acad Sci U S A 105(38):14325–14329
Standing L (1973) Learning 10000 pictures. Q J Exp Psychol 25(2):207–222
Danker JF et al (2008) Characterizing the ERP old–new effect in a short-term memory task. Psychophysiology 45(5):784–793
Paller KA, Lucas HD, Voss JL (2012) Assuming too much from ‘familiar’ brain potentials. Trends Cogn Sci 16(6):313–315
Voss JL, Schendan HE, Paller KA (2010) Finding meaning in novel geometric shapes influences electrophysiological correlates of repetition and dissociates perceptual and conceptual priming. Neuroimage 49(3):2879–2889
Tsivilis D, Otten LJ, Rugg MD (2001) Context effects on the neural correlates of recognition memory: an electrophysiological study. Neuron 31(3):497–505
Duarte A et al (2004) Dissociable neural correlates for familiarity and recollection during the encoding and retrieval of pictures. Brain Res Cogn Brain Res 18(3):255–272
Friedman D (2007) ERP studies of recognition memory: differential effects of familiarity, recollection, and episodic priming. New Res Cogn Sci:188
Reinhart RM et al (2017) Using transcranial direct-current stimulation (tDCS) to understand cognitive processing. Atten Percept Psychophys 79(1):3–23
Bikson M et al (2016) Safety of transcranial direct current stimulation: evidence based update 2016. Brain Stimul 9(5):641–661
Bindman LJ, Lippold OCJ, Redfearn JWT (1962) Long-lasting changes in the level of the electrical activity of the cerebral cortex produced by polarizing currents. Nature 196(4854):584
Creutzfeldt OD, Fromm GH, Kapp H (1962) Influence of transcortical dc currents on cortical neuronal activity. Exp Neurol 5(6):436–452
Gartside IB (1968) Mechanisms of sustained increases of firing rate of neurones in the rat cerebral cortex after polarization: role of protein synthesis. Nature 220(5165):383
Purpura DP, McMurtry JG (1965) Intracellular activities and evoked potential changes during polarization of motor cortex. J Neurophysiol 28(1):166–185
Terzuolo CA, Bullock TH (1956) Measurement of imposed voltage gradient adequate to modulate neuronal firing. Proc Natl Acad Sci U S A 42(9):687
Radman T et al (2009) Role of cortical cell type and morphology in subthreshold and suprathreshold uniform electric field stimulation in vitro. Brain Stimul 2(4):215–228
Reato D et al (2010) Low-intensity electrical stimulation affects network dynamics by modulating population rate and spike timing. J Neurosci 30(45):15067–15079
Reinhart RM, Woodman GF (2014) Causal control of medial–frontal cortex governs electrophysiological and behavioral indices of performance monitoring and learning. J Neurosci 34(12):4214–4227
Bikson M, Rahman A, Datta A (2012) Computational models of transcranial direct current stimulation. Clin EEG Neurosci 43(3):176–183
Kuo HI et al (2013) Comparing cortical plasticity induced by conventional and high-definition 4 × 1 ring tDCS: a neurophysiological study. Brain Stimul 6(4):644–648
Monai H et al (2016) Calcium imaging reveals glial involvement in transcranial direct current stimulation-induced plasticity in mouse brain. Nat Commun 7:11100
Ruohonen J, Karhu J (2012) tDCS possibly stimulates glial cells. Clin Neurophysiol 123(10):2006–2009
Gellner AK, Reis J, Fritsch B (2016) Glia: a neglected player in non-invasive direct current brain stimulation. Front Cell Neurosci 10:188
Vöröslakos M et al (2018) Direct effects of transcranial electric stimulation on brain circuits in rats and humans. Nat Commun 9(1):483
Datta A et al (2009) Gyri-precise head model of transcranial direct current stimulation: improved spatial focality using a ring electrode versus conventional rectangular pad. Brain Stimul 2(4):201–207
Ruffini G et al (2013) Transcranial current brain stimulation (tCS): models and technologies. IEEE Trans Neural Syst Rehabil Eng 21(3):333–345
Reinhart RM, Woodman GF (2015) The surprising temporal specificity of direct-current stimulation. Trends Neurosci 38(8):459–461
Poreisz C et al (2007) Safety aspects of transcranial direct current stimulation concerning healthy subjects and patients. Brain Res Bull 72(4–6):208–214
Fonteneau C et al (2019) Sham tDCS: a hidden source of variability? Reflections for further blinded, controlled trials. Brain Stimul. https://doi.org/10.1016/j.brs.2018.12.977
Boggio PS et al (2008) Prefrontal cortex modulation using transcranial DC stimulation reduces alcohol craving: a double-blind, sham-controlled study. Drug Alcohol Depend 92(1–3):55–60
Coffman BA, Trumbo MC, Clark VP (2012) Enhancement of object detection with transcranial direct current stimulation is associated with increased attention. BMC Neurosci 13(1):108
Bikson M et al (2018) Rigor and reproducibility in research with transcranial electrical stimulation: an NIMH-sponsored workshop. Brain Stimul 11(3):465–480
Reinhart RMG, Nguyen JA (2019) Working memory revived in older adults by synchronizing rhythmic brain circuits. Nat Neurosci. https://doi.org/10.1038/s41593-019-0371-x
Richardson JD et al (2014) Toward development of sham protocols for high-definition transcranial direct current stimulation (HD-tDCS). NeuroRegulation 1(1):62–72
Liebetanz D et al (2002) Pharmacological approach to the mechanisms of transcranial DC-stimulation-induced after-effects of human motor cortex excitability. Brain 125(10):2238–2247
Nitsche MA et al (2002) Modulation of cortical excitability by transcranial direct current stimulation. Nervenarzt 73(4):332–335
Nitsche MA et al (2003) Pharmacological modulation of cortical excitability shifts induced by transcranial direct current stimulation in humans. J Physiol 553(1):293–301
Stagg CJ et al (2009) Polarity-sensitive modulation of cortical neurotransmitters by transcranial stimulation. J Neurosci 29(16):5202–5206
Clark VP et al (2011) Transcranial direct current stimulation (tDCS) produces localized and specific alterations in neurochemistry: a 1H magnetic resonance spectroscopy study. Neurosci Lett 500(1):67–71
Medeiros LF et al (2012) Neurobiological effects of transcranial direct current stimulation: a review. Front Psych 3:110
Pelletier SJ, Cicchetti F (2015) Cellular and molecular mechanisms of action of transcranial direct current stimulation: evidence from in vitro and in vivo models. Int J Neuropsychopharmacol 18(2):pyu047
Callan DE et al (2016) Simultaneous tDCS-fMRI identifies resting state networks correlated with visual search enhancement. Front Hum Neurosci 10:72
Schestatsky P, Morales-Quezada L, Fregni F (2013) Simultaneous EEG monitoring during transcranial direct current stimulation. J Vis Exp 76:50426
Lauro LJR et al (2014) TDCS increases cortical excitability: direct evidence from TMS–EEG. Cortex 58:99–111
Roy A, Baxter B, He B (2014) High-definition transcranial direct current stimulation induces both acute and persistent changes in broadband cortical synchronization: a simultaneous tDCS–EEG study. IEEE Trans Biomed Eng 61(7):1967–1978
Santarnecchi E et al (2015) Enhancing cognition using transcranial electrical stimulation. Curr Opin Behav Sci 4:171–178
Krause MR et al (2017) Transcranial direct current stimulation facilitates associative learning and alters functional connectivity in the primate brain. Curr Biol 27(20):3086–3096
Filmer HL et al (2014) Applications of transcranial direct current stimulation for understanding brain function. Trends Neurosci 37(12):742–753
Kuo MF, Paulus W, Nitsche MA (2014) Therapeutic effects of non-invasive brain stimulation with direct currents (tDCS) in neuropsychiatric diseases. Neuroimage 85:948–960
Coffman BA, Clark VP, Parasuraman R (2014) Battery powered thought: enhancement of attention, learning, and memory in healthy adults using transcranial direct current stimulation. Neuroimage 85:895–908
Reteig LC et al (2017) Transcranial electrical stimulation as a tool to enhance attention. J Cogn Enhanc 1(1):10–25
Moore T, Zirnsak M (2017) Neural mechanisms of selective visual attention. Annu Rev Psychol 68:47–72
Nelson JT et al (2014) Enhancing vigilance in operators with prefrontal cortex transcranial direct current stimulation (tDCS). Neuroimage 85:909–917
Clarke PJ et al (2014) The causal role of the dorsolateral prefrontal cortex in the modification of attentional bias: evidence from transcranial direct current stimulation. Biol Psychiatry 76(12):946–952
Sparing R et al (2009) Bidirectional alterations of interhemispheric parietal balance by non-invasive cortical stimulation. Brain 132(11):3011–3020
Moos K et al (2012) Modulation of top-down control of visual attention by cathodal tDCS over right IPS. J Neurosci 32(46):16360–16368
Soto D, Llewelyn D, Silvanto J (2012) Distinct causal mechanisms of attentional guidance by working memory and repetition priming in early visual cortex. J Neurosci 32(10):3447–3452
Wang M et al (2018) Evaluating the role of the dorsolateral prefrontal cortex and posterior parietal cortex in memory-guided attention with repetitive transcranial magnetic stimulation. Front Hum Neurosci 12:236
Sestieri C et al (2014) Domain-general signals in the cingulo-opercular network for visuospatial attention and episodic memory. J Cogn Neurosci 26(3):551–568
Pardo JV et al (1990) The anterior cingulate cortex mediates processing selection in the Stroop attentional conflict paradigm. Proc Natl Acad Sci U S A 87(1):256–259
Dosenbach NU et al (2006) A core system for the implementation of task sets. Neuron 50(5):799–812
Peterson BS et al (1999) An fMRI study of Stroop word-color interference: evidence for cingulate subregions subserving multiple distributed attentional systems. Biol Psychiatry 45(10):1237–1258
Benedict RH et al (2002) Covert auditory attention generates activation in the rostral/dorsal anterior cingulate cortex. J Cogn Neurosci 14(4):637–645
Margulies DS et al (2007) Mapping the functional connectivity of anterior cingulate cortex. Neuroimage 37(2):579–588
Johnston K et al (2007) Top-down control-signal dynamics in anterior cingulate and prefrontal cortex neurons following task switching. Neuron 53(3):453–462
Rushworth MF et al (2007) Functional organization of the medial frontal cortex. Curr Opin Neurobiol 17(2):220–227
Posner MI, Dehaene S (1994) Attentional networks. Trends Neurosci 17(2):75–79
Bonini F et al (2014) Action monitoring and medial frontal cortex: leading role of supplementary motor area. Science 343(6173):888–891
Scangos KW et al (2013) Performance monitoring by pre-supplementary and supplementary motor area during an arm movement countermanding task. J Neurophysiol 109:1928
Millan MJ et al (2012) Cognitive dysfunction in psychiatric disorders: characteristics, causes and the quest for improved therapy. Nat Rev Drug Discov 11(2):141
Trivedi JK (2006) Cognitive deficits in psychiatric disorders: current status. Indian J Psychiatry 48(1):10
Bozoki A et al (2001) Mild cognitive impairments predict dementia in nondemented elderly patients with memory loss. Arch Neurol 58(3):411–416
Bowie CR, Harvey PD (2006) Cognitive deficits and functional outcome in schizophrenia. Neuropsychiatr Dis Treat 2(4):531
Hemsley DR (2005) The development of a cognitive model of schizophrenia: placing it in context. Neurosci Biobehav Rev 29(6):977–988
Barnett W, Mundt C (1992) Are latent thought disorders the core of negative schizophrenia? In: Phenomenology, language & schizophrenia. Springer, New York, pp 240–257
Huber G (1986) Psychiatrische Aspekte des Basisstörungskonzeptes. In: Schizophrene Basisstörungen. Springer, Berlin, pp 39–143
Gold JM et al (2007) Impaired top–down control of visual search in schizophrenia. Schizophr Res 94(1–3):148–155
Weiner I (2003) The “two-headed” latent inhibition model of schizophrenia: modeling positive and negative symptoms and their treatment. Psychopharmacology (Berl) 169(3–4):257–297
Gray JA et al (1991) The neuropsychology of schizophrenia. Behav Brain Sci 14(1):1–20
Heckers S et al (1998) Impaired recruitment of the hippocampus during conscious recollection in schizophrenia. Nat Neurosci 1(4):318
Sigurdsson T et al (2010) Impaired hippocampal–prefrontal synchrony in a genetic mouse model of schizophrenia. Nature 464(7289):763
Orlov ND et al (2017) Stimulating cognition in schizophrenia: a controlled pilot study of the effects of prefrontal transcranial direct current stimulation upon memory and learning. Brain Stimul 10(3):560–566
Papazova I et al (2018) Improving working memory in schizophrenia: effects of 1 mA and 2 mA transcranial direct current stimulation to the left DLPFC. Schizophr Res 202:203–209
Gomes JS et al (2018) Effects of transcranial direct current stimulation on working memory and negative symptoms in schizophrenia: a phase II randomized sham-controlled trial. Schizophr Res Cogn 12:20–28
Brunoni AR et al (2012) Clinical research with transcranial direct current stimulation (tDCS): challenges and future directions. Brain Stimul 5(3):175–195
Kekic M et al (2016) A systematic review of the clinical efficacy of transcranial direct current stimulation (tDCS) in psychiatric disorders. J Psychiatr Res 74:70–86
James W (1890) The principles of psychology. Holt, New York
Stagg CJ, Nitsche MA (2011) Physiological basis of transcranial direct current stimulation. Neuroscientist 17(1):37–53
Horvath JC, Forte JD, Carter O (2015) Quantitative review finds no evidence of cognitive effects in healthy populations from single-session transcranial direct current stimulation (tDCS). Brain Stimul 8(3):535–550
Bestmann S, de Berker AO, Bonaiuto J (2015) Understanding the behavioural consequences of noninvasive brain stimulation. Trends Cogn Sci 19(1):13–20
Romei V, Thut G, Silvanto J (2016) Information-based approaches of noninvasive transcranial brain stimulation. Trends Neurosci 39(11):782–795
Widge AS (2018) Cross-species neuromodulation from high-intensity transcranial electrical stimulation. Trends Cogn Sci 22(5):372–374
Grossman N et al (2017) Noninvasive deep brain stimulation via temporally interfering electric fields. Cell 169(6):1029–1041
Siegel M, Donner TH, Engel AK (2012) Spectral fingerprints of large-scale neuronal interactions. Nat Rev Neurosci 13(2):121
Jensen O et al (2002) Oscillations in the alpha band (9–12 Hz) increase with memory load during retention in a short-term memory task. Cereb Cortex 12(8):877–882
Foster JJ et al (2015) The topography of alpha-band activity tracks the content of spatial working memory. J Neurophysiol 115(1):168–177
Reinhart RM, Woodman GF (2014) Oscillatory coupling reveals the dynamic reorganization of large-scale neural networks as cognitive demands change. J Cogn Neurosci 26(1):175–188
Daume J et al (2017) Phase-amplitude coupling and long-range phase synchronization reveal frontotemporal interactions during visual working memory. J Neurosci 37(2):313–322
Fell J, Axmacher N (2011) The role of phase synchronization in memory processes. Nat Rev Neurosci 12(2):105
Sarnthein J et al (1998) Synchronization between prefrontal and posterior association cortex during human working memory. Proc Natl Acad Sci U S A 95(12):7092–7096
Backus AR et al (2016) Hippocampal-prefrontal theta oscillations support memory integration. Curr Biol 26(4):450–457
Ketz NA, Jensen O, O’Reilly RC (2015) Thalamic pathways underlying prefrontal cortex–medial temporal lobe oscillatory interactions. Trends Neurosci 38(1):3–12
Griffiths B et al (2016) Brain oscillations track the formation of episodic memories in the real world. Neuroimage 143:256–266
Reinhart RM et al (2012) Homologous mechanisms of visuospatial working memory maintenance in macaque and human: properties and sources. J Neurosci 32(22):7711–7722
Polanía R, Nitsche MA, Paulus W (2011) Modulating functional connectivity patterns and topological functional organization of the human brain with transcranial direct current stimulation. Hum Brain Mapp 32(8):1236–1249
Soekadar SR et al (2013) In vivo assessment of human brain oscillations during application of transcranial electric currents. Nat Commun 4:2032
Herrmann CS et al (2013) Transcranial alternating current stimulation: a review of the underlying mechanisms and modulation of cognitive processes. Front Hum Neurosci 7:279
Antal A, Herrmann CS (2016) Transcranial alternating current and random noise stimulation: possible mechanisms. Neural Plast 2016:1
Reato D et al (2013) Effects of weak transcranial alternating current stimulation on brain activity—a review of known mechanisms from animal studies. Front Hum Neurosci 7:687
Reinhart RM (2017) Disruption and rescue of interareal theta phase coupling and adaptive behavior. Proc Natl Acad Sci U S A 114(43):11542–11547
Helfrich RF et al (2014) Selective modulation of interhemispheric functional connectivity by HD-tACS shapes perception. PLoS Biol 12(12):e1002031
Polanía R et al (2012) The importance of timing in segregated theta phase-coupling for cognitive performance. Curr Biol 22(14):1314–1318
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Grover, S., Reinhart, R.M.G. (2019). Combining Transcranial Direct Current Stimulation and Electrophysiology to Understand the Memory Representations that Guide Attention. In: Pollmann, S. (eds) Spatial Learning and Attention Guidance. Neuromethods, vol 151. Humana, New York, NY. https://doi.org/10.1007/7657_2019_24
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