RA Reading

Diversity in Cognitive Neurosience Papers

Dotson VM, Duarte A. (2020). The importance of diversity in cognitive neuroscience. Annals of the New York Academy of Sciences, 1464(1), 181-91.

Recognition Memory papers

Theta oscillations in top-down control of episodic memory retrieval (unpublished dissertation).

Rugg, M.D., & Curran, T. (2007). Event-related potentials and recognition memory. Trends in Cognitive Sciences, 11, 251-257.

Nyhus, E. & Badre, D. (in press). Memory retrieval and the functional organization of frontal cortex. To appear in D.R. Addis, M. Barense, A. Duarte (Eds), The Cognitive Neuroscience of Human Memory. Hoboken, New Jersey: Wiley-Blackwell.

Badre, D., & Wagner, A. D. (2007). Left ventrolateral prefrontal cortex and the cognitive control of memory. Neuropsychologia, 45, 2883-2901.

Badre, D., Poldrack, R. A., Pare-Blagoev, E. J., Insler, R. Z., & Wagner, A. D. (2005). Dissociable controlled retrieval and generalized selection mechanisms in ventrolateral prefrontal cortex. Neuron, 47, 907-918.

Barredo, J., Oztekin, I., & Badre, D. (in press). Ventral fronto-temporal pathway supporting cognitive control of episodic memory retrieval.

Clouter, A., Shapiro, K.L., Hanslmayr, S. (2017). Theta Phase Synchronization is the Glue That Binds Human Associative Memory. Current Biology, 27, 3143-3148. 

Nyhus, E., & Curran, T. (2010). Functional role of gamma and theta oscillations in episodic memory. Neuroscience and Biobehavioral Reviews, 34, 1023-1035.

Kahn, I., Davachi, L., & Wagner, A. D. (2004). Functional-neuroanatomic correlates of recollection: implications for models of recognition memory. Journal of Neuroscience, 24, 4172-4180.

Scheeringa R., Petersson K. M., Oostenveld R., Norris D. G., Hagoort P., Bastiaansen M. C. (2009). Trial-by-trial coupling between EEG and BOLD identifies networks related to alpha and theta EEG power increases during working memory maintenance. Neuroimage 44, 1224–1238. 

Waldhauser, G. T., Johansson, M., & Hanslmayr, S. (2012). alpha/beta oscillations indicate inhibition of interfering visual memories. Journal of Neuroscience, 32(6), 1953-1961.

Wang, J. X., Rogers, L. M., Gross, E. Z., Ryals, A. J., Dokucu, M. E., Brandstatt, K. L., . . . Voss, J. L. (2014). Targeted enhancement of cortical-hippocampal brain networks and associative memory. Science, 345(6200), 1054-1057. 

Attention papers

Selective attention and memory: Event related potentials and the IOR effect (unpublished thesis).

Abrams, R. A., & Dobkin, R. S. (1994). The gap effect and inhibition of return: interactive effects on eye movement latencies. Experimental Brain Research, 98(3), 483-487.

Astle, D. E., Nobre, A. C., & Scerif, G. (2012). Attentional control constrains visual short-term memory: insights from developmental and individual differences. The Quarterly Journal of Experimental Psychology, 65(2), 277-294. 

Baijal, S., & Srinivasan, N. (2011). Emotional and hemispheric asymmetries in shifts of attention: an ERP study. Cognition and Emotion, 25(2), 280-294.

Carrasco, M., Ling, S., & Read, S. (2004). Attention alters appearance. Nature Neuroscience, 7(3), 308-313. 

Chasteen, A.L., and J. Pratt. 1999. "The effect of inhibition of return on lexical access." Psychological Science no. 10 (1):41-46

Chun, M. M., & Turk-Browne, N. B. (2007). Interactions between attention and memory. Current Opinions in Neurobiology, 17(2), 177-184. 

Desimone, R., & Duncan, J. (1995). Neural mechanisms of selective visual attention. Annual Review of Neuroscience, 18, 193-222. 

Duncan, J. (2006). Brain mechanisms of attention. The Quarterly Journal of Experimental Psychology, 59(1), 2-27.

Eimer, M. (1994). An ERP study on visual spatial priming with peripheral onsets. Psychophysiology, 31(2), 154-163.

Gazzaley, A. (2011). Influence of early attentional modulation on working memory. Neuropsychologia, 49(6), 1410-1424. 

Gould, I. C., Rushworth, M. F., & Nobre, A. C. (2011). Indexing the graded allocation of visuospatial attention using anticipatory alpha oscillations. Journal of Neurophysioogyl, 105(3), 1318-1326.

Hauer, B. J., & MacLeod, C. M. (2006). Endogenous versus exogenous attentional cuing effects on memory. Acta Psychologica, 122(3), 305-320. 

Hickey, C., Di Lollo, V., & McDonald, J. J. (2009). Electrophysiological indices of target and distractor processing in visual search. Journal of Cognitive Neuroscience, 21(4), 760-775.

Kanwisher, N., & Wojciulik, E. (2000). Visual attention: insights from brain imaging. Nature Reviews Neuroscience, 1(2), 91-100. 

Kastner, S., Pinsk, M. A., De Weerd, P., Desimone, R., & Ungerleider, L. G. (1999). Increased activity in human visual cortex during directed attention in the absence of visual stimulation. Neuron, 22(4), 751-761.

Kastner, S., & Ungerleider, L. G. (2000). Mechanisms of visual attention in the human cortex. Annual Review of Neuroscience, 23, 315-341. 

Klein, R. M. (2000). Inhibition of return. Trends in Cognitive Sciences, 4(4), 138-147.

Klimesch, W. (2012). alpha-band oscillations, attention, and controlled access to stored information. Trends in Cognitive Science, 16(12), 606-617.

Lupianez, J., Klein, R. M., & Bartolomeo, P. (2006). Inhibition of return: Twenty years after. Cognitive Neuropsychology, 23(7), 1003-1014.

Markant, J., Worden, M.S., & Amso, D. (2014a).  Distractor Suppression Mediates the Effects of Selective Attention on Memory. Manuscript submitted for publication.

Markant, J., & Amso, D. (in press). Leveling the playing field: Attention mitigates the effects of intelligence on memory. Cognition.

Markant, J., Worden, M.S., & Amso, D. (2014b).  Not all attention orienting is created equal: Recogntiion memory is enhanced when attention orienting involves distractor suppression. Manuscript submitted for publication.

Markant, J., Worden, M., & Amso, D. (2015). Not all attention orienting is created equal: Recognition memory is enhanced when attention orienting involves distractor suppression. Neurobiology of Learning and Memory, 120, 28-40.

McDonald, J. J., Ward, L. M., & Kiehl, K. A. (1999). An event-related brain potential study of inhibition of return. Perception & Psychophysics, 61(7), 1411-1423.

Munneke, J., Heslenfeld, D. J., Usrey, W. M., Theeuwes, J., & Mangun, G. R. (2011). Preparatory effects of distractor suppression: evidence from visual cortex. PLoS One, 6(12), e27700. 

Myers, N. E., Walther, L., Wallis, G., Stokes, M. G., & Nobre, A. C. (2014). Temporal Dynamics of Attention during Encoding versus Maintenance of Working Memory: Complementary Views from Event-related Potentials and Alpha-band Oscillations. Journal of Cognitive Neuroscience, 1-17. 

Noudoost, B., Chang, M. H., Steinmetz, N. A., & Moore, T. (2010). Top-down control of visual attention. Current Opinions in Neurobiology, 20(2), 183-190. 

Posner, M.I., Rafal, R.D., Choate, L.S., & Vaughan, J. (1985). Inhibition of return: Neural basis and function. Cognitive Neuropsychology, 2(3), 211-228. 

Pratt, J. (1995). Inhibition of return in a discrimination task. Psychonomic Bulletin & Review, 2(1), 117-120. 

Prime, D. J., & Ward, L. M. (2004). Inhibition of return from stimulus to response. Psychological Science, 15(4), 272-276. 

Prime, D. J., & Ward, L. M. (2006). Cortical expressions of inhibition of return. Brain Research, 1072(1), 161-174. 

Summerfield, J. J., Rao, A., Garside, N., & Nobre, A. C. (2011). Biasing perception by spatial long-term memory. Journal of Neuroscience, 31(42), 14952-14960.

Taylor, T. L., & Fawcett, J. M. (2011). Larger IOR effects following forget than following remember instructions depend on exogenous attentional withdrawal and target localization. Attention, Perception & Psychophysics, 73(6), 1790-1814. 

Wascher, E., & Tipper, S. P. (2004). Revealing effects of noninformative spatial cues: an EEG study of inhibition of return. Psychophysiology, 41(5), 716-728.

Wolfe, J. M., Horowitz, T. S., & Michod, K. O. (2007). Is visual attention required for robust picture memory? Vision Research, 47(7), 955-964. 

Worden, M. S., Foxe, J. J., Wang, N., & Simpson, G. V. (2000). Anticipatory biasing of visuospatial attention indexed by retinotopically specific alpha-band electroencephalography increases over occipital cortex. Journal of Neuroscience, 20(6), RC63.

Zanto, T. P., Rubens, M. T., Thangavel, A., & Gazzaley, A. (2011). Causal role of the prefrontal cortex in top-down modulation of visual processing and working memory. Nature Neuroscience, 14(5), 656-661. 

Meditation Papers

Baer, R. A., Smith, G. T., Hopkins, J., Krietemeyer, J., & Toney, L. (2006). Using self-report assessment methods to explore facets of mindfulness. Assessment, 13(1), 27-45.

Cahn, B. R., Delorme, A., & Polich, J. (2013). Event-related delta, theta, alpha and gamma correlates to auditory oddball processing during Vipassana meditation. Social Cognitive,and Affective Neuroscience, 8(1), 100-111.

Cahn, B. R., & Polich, J. (2006). Meditation states and traits: EEG, ERP, and neuroimaging studies. Psychological Bulletin, 132(2), 180-211    

Chiesa, A., Calati, R., & Serretti, A. (2011). Does mindfulness training improve cognitive abilities? A systematic review of neuropsychological findings. Clinical Psychology Review, 31(3), 449-464.

Holzel, B. K., Carmody, J., Vangel, M., Congleton, C., Yerramsetti, S. M., Gard, T., & Lazar, S. W. (2011). Mindfulness practice leads to increases in regional brain gray matter density. Psychiatry Research, 191(1), 36-43.    

Luders, E., Clark, K., Narr, K. L., & Toga, A. W. (2011). Enhanced brain connectivity in long-term meditation practitioners. Neuroimage, 57(4), 1308-1316. 

Luders, E., Kurth, F., Toga, A. W., Narr, K. L., & Gaser, C. (2013). Meditation effects within the hippocampal complex revealed by voxel-based morphometry and cytoarchitectonic probabilistic mapping. Frontiers in Psychology, 4, 398. 

Luders, E., Thompson, P. M., Kurth, F., Hong, J. Y., Phillips, O. R., Wang, Y., . . . Toga, A. W. (2013). Global and regional alterations of hippocampal anatomy in long-term meditation practitioners. Human Brain Mapping, 34(12), 3369-3375. 

Luders, E., Toga, A. W., Lepore, N., & Gaser, C. (2009). The underlying anatomical correlates of long-term meditation: larger hippocampal and frontal volumes of gray matter. NeuroImage, 45(3), 672-678.

Lutz, A., Slagter, H. A., Dunne, J. D., & Davidson, R. J. (2008). Attention regulation and monitoring in meditation. Trends in Cognitive Sciences, 12(4), 163-169. 

Marciniak, R., Sheardova, K., Cermakova, P., Hudecek, D., Sumec, R., & Hort, J. (2014). Effect of meditation on cognitive functions in context of aging and neurodegenerative diseases. Frontiers in Behavioral Neuroscience, 8, 17. 

Mrazek, M. D., Franklin, M. S., Phillips, D. T., Baird, B., & Schooler, J. W. (2013). Mindfulness training improves working memory capacity and GRE performance while reducing mind wandering. Psychological Science, 24(5), 776-781. 

Tang, Y. Y., Holzel, B. K., & Posner, M. I. (2015). The neuroscience of mindfulness meditation. Nature Reviews Neuroscience, 16(4), 213-225.    

Van Dam, N. T., van Vugt, M. K., Vago, D. R., Schmalzl, L., Saron, C. D., Olendzki, A., . . . Meyer, D. E. (2017). Mind the Hype: A Critical Evaluation and Prescriptive Agenda for Research on Mindfulness and Meditation. Perspect Psychol Sci, 1745691617709589.

van Vugt, M. K., Hitchcock, P., Shahar, B., & Britton, W. (2012). The effects of mindfulness-based cognitive therapy on affective memory recall dynamics in depression: a mechanistic model of rumination. Frontiers in Human Neuroscience, 6, 257. 

Wilson, B. M., Mickes, L., Stolarz-Fantino, S., Evrard, M., & Fantino, E. (2015). Increased False-Memory Susceptibility After Mindfulness Meditation. Psychological Science.    

Zeidan, F. (in press). The neurobiology of mindfulness meditation The Handbook of Mindfulness. New York, NY: Guilford Press.    

Zeidan, F., Johnson, S. K., Diamond, B. J., David, Z., & Goolkasian, P. (2010). Mindfulness meditation improves cognition: evidence of brief mental training. Conscious and Cognition, 19(2), 597-605. 

Navigation Papers

Caplan, J. B., Madsen, J. R., Schulze-Bonhage, A., Aschenbrenner-Scheibe, R., Newman, E. L., & Kahana, M. J. (2003). Human θ oscillations related to sensorimotor integration and spatial learning. The Journal of neuroscience, 23(11), 4726-4736.

Chrastil, E. R. (2013). Neural evidence supports a novel framework for spatial navigation. Psychonomic bulletin & review, 20(2), 208-227.

Chrastil, E. R., & Warren, W. H. (2014). Active and Passive Spatial Learning in Human Navigation: Acquisition of Graph Knowledge.

Chrastil, E. R., & Warren, W. H. (2014). From cognitive maps to cognitive graphs.

Ekstrom, A. D., Caplan, J. B., Ho, E., Shattuck, K., Fried, I., & Kahana, M. J. (2005). Human hippocampal theta activity during virtual navigation. Hippocampus, 15(7), 881-889.

Ekstrom, A. D., & Watrous, A. J. (2014). Multifaceted roles for low-frequency oscillations in bottom-up and top-down processing during navigation and memory. Neuroimage, 85 Pt 2, 667-677.

Kaplan, R., Bush, D., Bonnefond, M., Bandettini, P. A., Barnes, G. R., Doeller, C. F., & Burgess, N. (2014). Medial prefrontal theta phase coupling during spatial memory retrieval. Hippocampus, 24(6), 656-665.

Kaplan, R., Doeller, C. F., Barnes, G. R., Litvak, V., Duzel, E., Bandettini, P. A., & Burgess, N. (2012). Movement-related theta rhythm in humans: coordinating self-directed hippocampal learning. PLoS Biology, 10(2), e1001267. 

Granger Causality Papers

Anderson, K. L., Rajagovindan, R., Ghacibeh, G. A., Meador, K. J., & Ding, M. (2010). Theta oscillations mediate interaction between prefrontal cortex and medial temporal lobe in human memory. Cerebral Cortex, 20(7), 1604-1612.

Astolfi, L., Cincotti, F., Mattia, D., Marciani, M. G., Baccala, L. A., de Vico Fallani, F., . . . Babiloni, F. (2007). Comparison of different cortical connectivity estimators for high-resolution EEG recordings. Human Brain Mapping, 28(2), 143-157. 

Barnett, L., & Seth, A. K. (2014). The MVGC multivariate Granger causality toolbox: a new approach to Granger-causal inference. Journal of Neuroscience Methods, 223, 50-68. 

Bressler, S. L., & Seth, A. K. (2011). Wiener-Granger causality: a well established methodology. Neuroimage, 58(2), 323-329. 

Coben, R., Mohammad-Rezazadeh, I., & Cannon, R. L. (2014). Using quantitative and analytic EEG methods in the understanding of connectivity in autism spectrum disorders: a theory of mixed over- and under-connectivity. Frontiers in Human Neuroscience, 8, 45. 

Cui, J., Xu, L., Bressler, S. L., Ding, M., & Liang, H. (2008). BSMART: a Matlab/C toolbox for analysis of multichannel neural time series. Neural Networks, 21(8), 1094-1104. 

Das A, Menon V. (2021). Asymmetric frequency-specific feedforward and feedback information flow between hippocampus and prefrontal cortex during verbal memory encoding and recall. Journal of Neuroscience, 41(40), 8427-40. 

Dhamala, M., Rangarajan, G., & Ding, M. (2008). Analyzing information flow in brain networks with nonparametric Granger causality. Neuroimage, 41(2), 354-362. 

Florin, E., Gross, J., Pfeifer, J., Fink, G. R., & Timmermann, L. (2010). The effect of filtering on Granger causality based multivariate causality measures. Neuroimage, 50(2), 577-588.

Florin, E., Gross, J., Pfeifer, J., Fink, G. R., & Timmermann, L. (2011). Reliability of multivariate causality measures for neural data. Journal of Neuroscience Methods, 198(2), 344-358. 

Friston, K., Moran, R., & Seth, A. K. (2013). Analysing connectivity with Granger causality and dynamic causal modelling. Current Opinions in Neurobiology, 23(2), 172-178. 

Geweke, J.F. (1984). Measures of conditional linear dependence and feedback between time series. Journal of the American Statistical Association, 79(388), 907-915.

Gross, J., Kujala, J., Hamalainen, M., Timmermann, L., Schnitzler, A., & Salmelin, R. (2001). Dynamic imaging of coherent sources: Studying neural interactions in the human brain. Proceedings of the National Academy of Science U S A, 98(2), 694-699.

Haufe, S., Tomioka, R., Nolte, G., Muller, K. R., & Kawanabe, M. (2010). Modeling sparse connectivity between underlying brain sources for EEG/MEG. IEEE Transactions on Biomedmedical Engineering, 57(8), 1954-1963.

Horschig, J. M., Smolders, R., Bonnefond, M., Schoffelen, J. M., van den Munckhof, P., Schuurman, P. R., . . . Jensen, O. (2015). Directed Communication between Nucleus Accumbens and Neocortex in Humans Is Differentially Supported by Synchronization in the Theta and Alpha Band. PLoS One, 10(9), e0138685. 

Hu, S., Dai, G., Worrell, G. A., Dai, Q., & Liang, H. (2011). Causality analysis of neural connectivity: critical examination of existing methods and advances of new methods. IEEE Transactions on Neural Networks, 22(6), 829-844. 

Lau, T. M., Gwin, J. T., & Ferris, D. P. (2014). Walking reduces sensorimotor network connectivity compared to standing. Journal of NeuroEngineering and Rehabilitation, 11, 14. 

Seth, A. K. (2010). A MATLAB toolbox for Granger causal connectivity analysis. Journal of Neuroscience Methods, 186(2), 262-273.

Seth, A. K., Barrett, A. B., & Barnett, L. (2015). Granger causality analysis in neuroscience and neuroimaging. Journal of Neuroscience, 35(8), 3293-3297.

Stokes, P. A., & Purdon, P. L. (2017). A study of problems encountered in Granger causality analysis from a neuroscience perspective. Proceedings of the National Academy of Science U S A, 114(34), E7063-E7072.

Wibral, M., Vicente, R., Priesemann, V., & Lindner, M. (2011). TRENTOOL: an open source toolbox to estimate neural directed interactions with transfer entropy. Paper presented at the Twentieth Annual Computational Neuroscience Meeting, Stockholm, Sweden. 

tACS Papers

Antonenko, D., Faxel, M., Grittner, U., Lavidor, M., & Floel, A. (2016). Effects of Transcranial Alternating Current Stimulation on Cognitive Functions in Healthy Young and Older Adults. Neural Plast, 2016, 4274127.

Clouter, A., Shapiro, K. L., & Hanslmayr, S. (2017). Theta Phase Synchronization Is the Glue that Binds Human Associative Memory. Current Biology, 27(20), 3143-3148 e3146. 

Hanslmayr, S., Axmacher, N., & Inman, C. S. (2019). Modulating Human Memory via Entrainment of Brain Oscillations. Trends in Neurosciences, 42(7), 485-499.

Neuling, T., Ruhnau, P., Fuscà, M., Demarchi, G., Herrmann, C. S., & Weisz, N. (2015). Friends, not foes: magnetoencephalography as a tool to uncover brain dynamics during transcranial alternating current stimulation. Neuroimage, 118, 406-413.

Pahor, A., Jaušovec, N. (2014). The effects of theta transcranial alternating current stimulation (tACS) on fluid intelligence. International Journal of Psychophysiology (93): 322-331. 

Wynn, S. C., Kessels, R. P., & Schutter, D. J. (2020). Effects of parietal exogenous oscillatory field potentials on subjectively perceived memory confidence. Neurobiology of Learning and Memory, 168, 107140.

Source Localization Papers

Homolle, S., & Oostenveld, R. (2019). Using a structured-light 3D scanner to improve EEG source modeling with more accurate electrode positions. Journal of Neuroscience Methods, 326, 108378.

Shirazi, S. Y., & Huang, H. J. (2019). More Reliable EEG Electrode Digitizing Methods Can Reduce Source Estimation Uncertainty, but Current Methods Already Accurately Identify Brodmann Areas. Frontiers in Neuroscience, 13, 1159.