Top-down attention switches coupling between low-level and high-level areas of human visual cortex

Advances in functional and structural MR image analysis and implementation as FSL

Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630 · see citing works

Control of goal-directed and stimulus-driven attention in the brain

Corbetta, M., & Shulman, G. L. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn755 · Cited by 12,881 · see citing works

An Integrative Theory of Prefrontal Cortex Function

Miller, E. K., & Cohen, J. D. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.167 · Cited by 12,803 · see citing works

Cortical Surface-Based Analysis

Dale, A. M., Fischl, B., & Sereno, M. I. (1999) · NeuroImage · doi:10.1006/nimg.1998.0395 · Cited by 10,910 · see citing works

Functional connectivity in the motor cortex of resting human brain using echo‐planar mri

Biswal, B., Zerrin Yetkin, F., Haughton, V. M., & Hyde, J. S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340409 · Cited by 9,812 · see citing works

Neural Mechanisms of Selective Visual Attention

Desimone, R., & Duncan, J. (1995) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.18.030195.001205 · Cited by 8,388 · see citing works

Distributed hierarchical processing in the primate cerebral cortex

Felleman, D. J., & Van Essen, D. C. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1 · Cited by 7,783 · see citing works

Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging

Fox, M. D., & Raichle, M. E. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2201 · Cited by 6,700 · see citing works

Receptive fields and functional architecture of monkey striate cortex

Hubel, D. H., & Wiesel, T. N. (1968) · The Journal of Physiology · doi:10.1113/jphysiol.1968.sp008455 · Cited by 6,520 · see citing works

A mechanism for cognitive dynamics: neuronal communication through neuronal coherence.

Fries, P. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.08.011 · Cited by 4,284 · see citing works

Preface: Cerebral Cortex Has Come of Age

Goldman, P. S., & RAKIC, P. T. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1-a · Cited by 3,412 · see citing works

Object vision and spatial vision: Two cortical pathways

Mishkin, M., Ungerleider, L. G., & Macko, K. A. (1983) · Trends in Neurosciences · doi:10.1016/0166-2236(83)90190-x · Cited by 2,947 · see citing works

Modulation of Oscillatory Neuronal Synchronization by Selective Visual Attention

Fries, P., Reynolds, J. H., Rorie, A. E., & Desimone, R. (2001) · Science · doi:10.1126/science.1055465 · Cited by 2,786 · see citing works

Confidence Intervals from Normalized Data: A correction to Cousineau (2005)

Morey, R. D. (2008) · Tutorials in Quantitative Methods for Psychology · doi:10.20982/tqmp.04.2.p061 · Cited by 2,118 · see citing works

Effects of Attention on Orientation-Tuning Functions of Single Neurons in Macaque Cortical Area V4

McAdams, C. J., & Maunsell, J. H. R. (1999) · Journal of Neuroscience · doi:10.1523/jneurosci.19-01-00431.1999 · Cited by 1,214 · see citing works

High-frequency, long-range coupling between prefrontal and visual cortex during attention

Gregoriou, G. G., Gotts, S. J., Zhou, H., & Desimone, R. (2009) · Science · doi:10.1126/science.1171402 · Cited by 1,194 · see citing works

Attentional modulation of visual motion processing in cortical areas MT and MST

Treue, S., & Maunsell, J. H. R. (1996) · Nature · doi:10.1038/382539a0 · Cited by 1,025 · see citing works

Functional specificity in the human brain: a window into the functional architecture of the mind

Kanwisher, N. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1005062107 · Cited by 929 · see citing works

Attentional Modulation of Neural Processing of Shape, Color, and Velocity in Humans

Corbetta, M., Miezin, F. M., Dobmeyer, S., Shulman, G. L., & Petersen, S. E. (1990) · Science · doi:10.1126/science.2360050 · Cited by 869 · see citing works

A shift of visual spatial attention is selectively associated with human EEG alpha activity

Sauseng, P., Klimesch, W., Stadler, W., Schabus, M., Doppelmayr, M. M., Hanslmayr, S., Gruber, W. R., & Birbaumer, N. (2005) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2005.04482.x · Cited by 847 · see citing works

fMRI evidence for objects as the units of attentional selection

O'Craven, K. M., Downing, P. E., & Kanwisher, N. (1999) · Nature · doi:10.1038/44134 · Cited by 846 · see citing works

The Cognitive Neuroscience of Attention

Melara, R. D. (2004) · Sage eBooks · doi:10.4135/9781483328768.n11 · Cited by 797 · see citing works

Spatial attention decorrelates intrinsic activity fluctuations in macaque area V4

Mitchell, J. F., Sundberg, K. A., & Reynolds, J. H. (2009) · Neuron · doi:10.1016/j.neuron.2009.09.013 · Cited by 710 · see citing works

Visual properties of neurons in area V4 of the macaque: sensitivity to stimulus form

Desimone, R., & Schein, S. (1987) · Journal of Neurophysiology · doi:10.1152/jn.1987.57.3.835 · Cited by 681 · see citing works

Coherent spontaneous activity accounts for trial-to-trial variability in human evoked brain responses

Fox, M. D., Snyder, A. Z., Zacks, J. M., & Raichle, M. E. (2006) · Nature Neuroscience · doi:10.1038/nn1616 · Cited by 660 · see citing works

Feedforward, horizontal, and feedback processing in the visual cortex

Lamme, V. A. F., Supèr, H., & Spekreijse, H. (1998) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(98)80042-1 · Cited by 624 · see citing works

Global effects of feature-based attention in human visual cortex

Sàenz, M., Buračas, G. T., & Boynton, G. M. (2002) · Nature Neuroscience · doi:10.1038/nn876 · Cited by 609 · see citing works

Neural Mechanisms of Visual Attention: How Top-Down Feedback Highlights Relevant Locations

Saalmann, Y. B., Pigarev, I. N., & Vidyasagar, T. R. (2007) · Science · doi:10.1126/science.1139140 · Cited by 428 · see citing works

Phase Locking of Single Neuron Activity to Theta Oscillations during Working Memory in Monkey Extrastriate Visual Cortex

Lee, H. B., Simpson, G. V., Logothetis, N. K., & Rainer, G. (2005) · Neuron · doi:10.1016/j.neuron.2004.12.025 · Cited by 388 · see citing works

Retinotopic Organization of Human Ventral Visual Cortex

Arcaro, M. J., McMains, S. A., Singer, B. D., & Kästner, S. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.2807-09.2009 · Cited by 348 · see citing works

Top-down control of visual attention

Noudoost, B., Chang, M. H., Steinmetz, N. A., & Moore, T. (2010) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2010.02.003 · Cited by 329 · see citing works

The fMRI signal, slow cortical potential and consciousness

He, B. J., & Raichle, M. E. (2009) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2009.04.004 · Cited by 324 · see citing works

The invisible gorilla: and other ways our intuitions deceive us

(2010) · Choice Reviews Online · doi:10.5860/choice.48-1757 · Cited by 320 · see citing works

Differential coupling of visual cortex with default or frontal-parietal network based on goals

Chadick, J. Z., & Gazzaley, A. H. (2011) · Nature Neuroscience · doi:10.1038/nn.2823 · Cited by 222 · see citing works

The asymmetry of the fusiform face area is a stable individual characteristic that underlies the left-visual-field superiority for faces

Yovel, G., Tambini, A., & Brandman, T. (2008) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2008.06.017 · Cited by 207 · see citing works

Category-Selective Background Connectivity in Ventral Visual Cortex

Norman-Haignere, S., McCarthy, G., Chun, M. M., & Turk‐Browne, N. B. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr118 · Cited by 117 · see citing works

Neocortical Connectivity during Episodic Memory Formation

Summerfield, C., Greene, M., Wager, T. D., Egner, T., Joy Hirsch, C., & Mangels, J. A. (2006) · PLoS Biology · doi:10.1371/journal.pbio.0040128 · Cited by 115 · see citing works

Stimulus-Induced and State-Dependent Sustained Gamma Activity Is Tightly Coupled to the Hemodynamic Response in Humans

Koch, S., Werner, P., Steinbrink, J. M., Fries, P., & Obrig, H. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.1402-09.2009 · Cited by 84 · see citing works

Top-down influences on visual processing

Gilbert, C. D., & Li, W. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3476 · Cited by 1,224 · see citing works

Functional Brain Networks Are Dominated by Stable Group and Individual Factors, Not Cognitive or Daily Variation

Gratton, C., Laumann, T. O., Nielsen, A. N., Greene, D. J., Gordon, E. M., Gilmore, A. W., Nelson, S. M., Coalson, R. S., Snyder, A. Z., Schlaggar, B. L., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.03.035 · Cited by 846 · see citing works

Domains of cognition and their assessment

Harvey, P. D. (2019) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2019.21.3/pharvey · Cited by 695 · see citing works

Reworking the language network

Fedorenko, E., & Thompson-Schill, S. L. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.12.006 · Cited by 615 · see citing works

Dynamic reconfiguration of the default mode network during narrative comprehension

Simony, E., Honey, C. J., Chen, J., Lositsky, O., Yeshurun, Y., Wiesel, A., & Hasson, U. (2016) · Nature Communications · doi:10.1038/ncomms12141 · Cited by 588 · see citing works

Human cognition involves the dynamic integration of neural activity and neuromodulatory systems

Shine, J. M., Breakspear, M. J., Bell, P. T., Martens, K. A. E., Shine, R., Koyejo, S., Sporns, O., & Poldrack, R. A. (2019) · Nature Neuroscience · doi:10.1038/s41593-018-0312-0 · Cited by 518 · see citing works

On the stability of BOLD fMRI correlations

Laumann, T. O., Snyder, A. Z., Mitra, A., Gordon, E. M., Gratton, C., Adeyemo, B., Gilmore, A. W., Nelson, S. M., Berg, J. J., Greene, D. J., et al. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw265 · Cited by 516 · see citing works

Age differences in the functional interactions among the default, frontoparietal control, and dorsal attention networks

Grady, C. L., Sarraf, S., Saverino, C., & Campbell, K. L. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.02.020 · Cited by 337 · see citing works

Closed-loop training of attention with real-time brain imaging

deBettencourt, M. T., Cohen, J. D., Lee, R. F., Norman, K. A., & Turk‐Browne, N. B. (2015) · Nature Neuroscience · doi:10.1038/nn.3940 · Cited by 324 · see citing works

Statistical learning of temporal community structure in the hippocampus

Schapiro, A. C., Turk‐Browne, N. B., Norman, K. A., & Botvinick, M. (2015) · Hippocampus · doi:10.1002/hipo.22523 · Cited by 289 · see citing works

Is it time to put rest to rest?

Finn, E. S. (2021) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2021.09.005 · Cited by 237 · see citing works

Computational approaches to fMRI analysis

Cohen, J. D., Daw, N. D., Engelhardt, B. E., Hasson, U., Li, K., Niv, Y., Norman, K. A., Pillow, J. W., Ramadge, P. J., Turk‐Browne, N. B., et al. (2017) · Nature Neuroscience · doi:10.1038/nn.4499 · Cited by 222 · see citing works

Occipital Alpha Activity during Stimulus Processing Gates the Information Flow to Object-Selective Cortex

Zumer, J. M., Scheeringa, R., Schoffelen, J., Norris, D. G., & Jensen, O. B. (2014) · PLoS Biology · doi:10.1371/journal.pbio.1001965 · Cited by 215 · see citing works

Mnemonic Training Reshapes Brain Networks to Support Superior Memory

Dresler, M., Shirer, W. R., Konrad, B. N., Müller, N. C. J., Wagner, I. C., Fernández, G., Czisch, M., & Greicius, M. D. (2017) · Neuron · doi:10.1016/j.neuron.2017.02.003 · Cited by 221 · see citing works

Task activations produce spurious but systematic inflation of task functional connectivity estimates

Cole, M. W., Ito, T., Schultz, D. H., Mill, R. D., Chen, R. J., & Cocuzza, C. V. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.12.054 · Cited by 211 · see citing works

Functional Interactions as Big Data in the Human Brain

Turk‐Browne, N. B. (2013) · Science · doi:10.1126/science.1238409 · Cited by 207 · see citing works

Control networks and hubs

Gratton, C., Sun, H., & Petersen, S. E. (2017) · Psychophysiology · doi:10.1111/psyp.13032 · Cited by 194 · see citing works

Dynamic reorganization of human resting-state networks during visuospatial attention

Spadone, S., Penna, S. D., Sestieri, C., Betti, V., Tosoni, A., Perrucci, M. G., Romani, G. L., & Corbetta, M. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1415439112 · Cited by 182 · see citing works

What is Bottom-Up and What is Top-Down in Predictive Coding?

Rauss, K. S., & Pourtois, G. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00276 · Cited by 150 · see citing works

Emotional brain states carry over and enhance future memory formation

Tambini, A., Rimmele, U., Phelps, E., & Davachi, L. (2016) · Nature Neuroscience · doi:10.1038/nn.4468 · Cited by 140 · see citing works

Evidence for Two Independent Factors that Modify Brain Networks to Meet Task Goals

Gratton, C., Laumann, T. O., Gordon, E. M., Adeyemo, B., & Petersen, S. E. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.10.002 · Cited by 147 · see citing works

Unsupervised image saliency detection with Gestalt-laws guided optimization and visual attention based refinement

Yan, Y., Ren, J., Sun, G., Zhao, H., Han, J., Li, X., Marshall, S., & Zhan, J. (2018) · Pattern Recognition · doi:10.1016/j.patcog.2018.02.004 · Cited by 147 · see citing works

Selectivity in Postencoding Connectivity with High-Level Visual Cortex Is Associated with Reward-Motivated Memory

Murty, V. P., Tompary, A., Adcock, R., & Davachi, L. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.4032-15.2016 · Cited by 135 · see citing works

Task fMRI paradigms may capture more behaviorally relevant information than resting-state functional connectivity

Zhao, W., Makowski, C., Hagler, D. J., Garavan, H., Thompson, W. K., Greene, D. J., Jernigan, T. L., & Dale, A. M. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.119946 · Cited by 138 · see citing works

Episodic Memory Retrieval Benefits from a Less Modular Brain Network Organization

Westphal, A. J., Wang, S., & Rissman, J. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.2509-16.2017 · Cited by 95 · see citing works

Consolidation of Associative and Item Memory Is Related to Post-Encoding Functional Connectivity between the Ventral Tegmental Area and Different Medial Temporal Lobe Subregions during an Unrelated Task

Tompary, A., Duncan, K. D., & Davachi, L. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4816-14.2015 · Cited by 92 · see citing works

Reconstructing seen image from brain activity by visually-guided cognitive representation and adversarial learning

Ren, Z., Li, J., Xue, X., Li, X., Yang, F., Jiao, Z., & Gao, X. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2020.117602 · Cited by 100 · see citing works

Hippocampal seed connectome-based modeling predicts the feeling of stress

Goldfarb, E. V., Rosenberg, M. D., Seo, D., Constable, R. T., & Sinha, R. (2020) · Nature Communications · doi:10.1038/s41467-020-16492-2 · Cited by 90 · see citing works

Early visual deprivation from congenital cataracts disrupts activity and functional connectivity in the face network

Grady, C. L., Mondloch, C. J., Lewis, T. L., & Maurer, D. M. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.03.005 · Cited by 88 · see citing works

Attention model of binocular rivalry

Li, H.-H., Rankin, J., Rinzel, J., Carrasco, M., & Heeger, D. J. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1620475114 · Cited by 85 · see citing works

Motivated misremembering of selfish decisions

Carlson, R. W., Maréchal, M. A., Oud, B., Fehr, E., & Crockett, M. J. (2020) · Nature Communications · doi:10.1038/s41467-020-15602-4 · Cited by 85 · see citing works

More Than the Sum of Its Parts: A Role for the Hippocampus in Configural Reinforcement Learning

Duncan, K. D., Doll, B. B., Daw, N. D., & Shohamy, D. (2018) · Neuron · doi:10.1016/j.neuron.2018.03.042 · Cited by 77 · see citing works

Neural Mechanisms of Object-Based Attention

Cohen, E. H., & Tong, F. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht303 · Cited by 76 · see citing works

Propagation of Information Along the Cortical Hierarchy as a Function of Attention While Reading and Listening to Stories

Regev, M., Simony, E., Lee, K. J., Tan, K. M., Chen, J., & Hasson, U. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy282 · Cited by 74 · see citing works

Network variants are similar between task and rest states

Kraus, B. T., Perez, D. C., Ladwig, Z., Seitzman, B. A., Dworetsky, A., Petersen, S. E., & Gratton, C. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117743 · Cited by 66 · see citing works

Dopamine-related striatal neurophysiology is associated with specialization of frontostriatal reward circuitry through adolescence

Parr, A. C., Calabro, F., Larsen, B., Tervo-Clemmens, B., Elliot, S., Foran, W., Olafsson, V., & Luna, B. (2021) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2021.101997 · Cited by 60 · see citing works

Spatial and temporal functional connectivity changes between resting and attentive states

Bray, S., Arnold, A. E. G. F., Levy, R., & Iaria, G. (2014) · Human Brain Mapping · doi:10.1002/hbm.22646 · Cited by 60 · see citing works

Distinct medial temporal networks encode surprise during motivation by reward versus punishment

Murty, V. P., LaBar, K. S., & Adcock, R. A. (2016) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2016.01.018 · Cited by 57 · see citing works

Learning Naturalistic Temporal Structure in the Posterior Medial Network

Aly, M., Chen, J., Turk‐Browne, N. B., & Hasson, U. (2018) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01308 · Cited by 53 · see citing works

Multiscale modeling of brain dynamics: from single neurons and networks to mathematical tools

Siettos, C. I., & Starke, J. (2016) · WIREs Systems Biology and Medicine · doi:10.1002/wsbm.1348 · Cited by 55 · see citing works

Decision-making Increases Episodic Memory via Postencoding Consolidation

Murty, V. P., DuBrow, S., & Davachi, L. (2018) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01321 · Cited by 53 · see citing works

The Architecture of Object-Based Attention

Cavanagh, P., Caplovitz, G. P., Lytchenko, T. K., Maechler, M. R., Tse, P. U., & Sheinberg, D. L. (2023) · Psychonomic Bulletin & Review · doi:10.3758/s13423-023-02281-7 · Cited by 52 · see citing works

Post-Encoding Amygdala-Visuosensory Coupling Is Associated with Negative Memory Bias in Healthy Young Adults

Kark, S. M., & Kensinger, E. A. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.2834-18.2019 · Cited by 49 · see citing works

Differential Functional Connectivity along the Long Axis of the Hippocampus Aligns with Differential Role in Memory Specificity and Generalization

Frank, L. E., Bowman, C. R., & Zeithamová, D. (2019) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01457 · Cited by 48 · see citing works

A Neural Basis for Developmental Topographic Disorientation

Kim, J. G., Aminoff, E., Kästner, S., & Behrmann, M. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.0640-15.2015 · Cited by 48 · see citing works

Dynamic Organization of Large-scale Functional Brain Networks Supports Interactions Between Emotion and Executive Control

Geng, H., Xu, P., Aleman, A., Qin, S., & Luo, Y. (2024) · Neuroscience Bulletin · doi:10.1007/s12264-023-01168-w · Cited by 45 · see citing works

Flexible connectivity in the aging brain revealed by task modulations

Geerligs, L., Saliasi, E., Renken, R. J., Maurits, N. M., & Lorist, M. M. (2013) · Human Brain Mapping · doi:10.1002/hbm.22437 · Cited by 43 · see citing works

Occipital Cortex of Blind Individuals Is Functionally Coupled with Executive Control Areas of Frontal Cortex

Deen, B., Saxe, R. R., & Bedny, M. (2015) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00807 · Cited by 45 · see citing works

Neural networks supporting switching, hypothesis testing, and rule application

Liu, Z., Braunlich, K., Wehe, H. S., & Seger, C. A. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.07.019 · Cited by 43 · see citing works

Prefrontal mediation of the reading network predicts intervention response in dyslexia

Aboud, K. S., Barquero, L. A., & Cutting, L. E. (2018) · Cortex · doi:10.1016/j.cortex.2018.01.009 · Cited by 41 · see citing works

Altered patterns of directed connectivity within the reading network of dyslexic children and their relation to reading dysfluency

Žarić, G., Correia, J., González, G. F., Tijms, J., van der Molen, M. W., Blomert, L., & Bonte, M. L. (2016) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2016.11.003 · Cited by 37 · see citing works

Age-Related Trajectories of Functional Coupling between the VTA and Nucleus Accumbens Depend on Motivational State

Murty, V. P., Shah, H., Montez, D. F., Foran, W., Calabro, F. J., & Luna, B. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.3508-17.2018 · Cited by 36 · see citing works

Spontaneous Fluctuations in the Flexible Control of Covert Attention

Sali, A. W., Courtney, S. M., & Yantis, S. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.2323-15.2016 · Cited by 35 · see citing works

Retinotopic patterns of background connectivity between V1 and fronto-parietal cortex are modulated by task demands

Griffis, J. C., Elkhetali, A. S., Burge, W. K., Chen, R. H., & Visscher, K. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00338 · Cited by 36 · see citing works

Cognitive impairment in people with physical frailty using the phenotype model: A systematic review and meta analysis

Vahedi, A., Eriksdotter, M., Ihle‐Hansen, H., Wyller, T. B., Øksengård, A. R., & Fure, B. (2022) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.5822 · Cited by 35 · see citing works

Challenges in the measurement and interpretation of dynamic functional connectivity

Laumann, T. O., Snyder, A. Z., & Gratton, C. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00366 · Cited by 35 · see citing works

Internal attention to features in visual short-term memory guides object learning

Fan, J. E., & Turk‐Browne, N. B. (2013) · Cognition · doi:10.1016/j.cognition.2013.06.007 · Cited by 34 · see citing works

Super-Memorizers Are Not Super-Recognizers

Ramon, M., Miellet, S., Dzieciol, A. M., Konrad, B. N., Dresler, M., & Caldara, R. (2016) · PLoS ONE · doi:10.1371/journal.pone.0150972 · Cited by 34 · see citing works

Shaping the Cortical Landscape: Functions and Mechanisms of Top-Down Cortical Feedback Pathways

Zagha, E. (2020) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2020.00033 · Cited by 39 · see citing works

Attentional modulation of background connectivity between ventral visual cortex and the medial temporal lobe

Córdova, N. I., Tompary, A., & Turk‐Browne, N. B. (2016) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2016.06.011 · Cited by 32 · see citing works

Short-term retention of visual information: Evidence in support of feature-based attention as an underlying mechanism

Sneve, M. H., Sreenivasan, K. K., Alnæs, D., Endestad, T., & Magnussen, S. J. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.11.004 · Cited by 31 · see citing works

The effects of lesion and treatment-related recovery on functional network modularity in post-stroke dysgraphia

Tao, Y., & Rapp, B. C. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101865 · Cited by 32 · see citing works

fNIRS Evaluation of Frontal and Temporal Cortex Activation by Verbal Fluency Task and High-Level Cognition Task for Detecting Anxiety and Depression

Lang, X., Wen, D., Li, Q., Yin, Q., Wang, M., & Xu, Y. J. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.690121 · Cited by 31 · see citing works

Full correlation matrix analysis (FCMA): An unbiased method for task-related functional connectivity

Wang, Y., Cohen, J. D., Li, K., & Turk‐Browne, N. B. (2015) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2015.05.012 · Cited by 30 · see citing works

Connectivity-based change point detection for large-size functional networks

Jeong, S., Pae, C., & Park, H. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.09.019 · Cited by 30 · see citing works

Hippocampal Mechanisms Support Cortisol-Induced Memory Enhancements

Sherman, B. E., Harris, B. B., Turk‐Browne, N. B., Sinha, R., & Goldfarb, E. V. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.0916-23.2023 · Cited by 30 · see citing works

Decreased activity with increased background network efficiency in amnestic MCI during a visuospatial working memory task

Lou, W., Shi, L., Wang, D., Tam, C. W. C., Chu, C. W., Mok, V., Cheng, S., & Lam, L. C. W. (2015) · Human Brain Mapping · doi:10.1002/hbm.22851 · Cited by 29 · see citing works

Attention reorganizes connectivity across networks in a frequency specific manner

Kwon, S., Watanabe, M., Fischer, E., & Bartels, A. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.10.014 · Cited by 28 · see citing works

Social Cognitive Networks and Social Cognitive Performance Across Individuals With Schizophrenia Spectrum Disorders and Healthy Control Participants

Oliver, L. D., Hawco, C. S., Homan, P., Lee, J., Green, M. F., Gold, J. M., DeRosse, P., Árgyelán, M., Malhotra, A. K., Buchanan, R. W., et al. (2020) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2020.11.014 · Cited by 29 · see citing works

Switching between External and Internal Attention in Hippocampal Networks

Poskanzer, C., & Aly, M. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.0029-23.2023 · Cited by 28 · see citing works

Evidence for working memory storage operations in perceptual cortex

Sreenivasan, K. K., Gratton, C., Vytlacil, J. J., & D’Esposito, M. (2014) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-013-0246-7 · Cited by 28 · see citing works

Hippocampal-neocortical interactions sharpen over time for predictive actions

Hindy, N. C., Avery, E. W., & Turk‐Browne, N. B. (2019) · Nature Communications · doi:10.1038/s41467-019-12016-9 · Cited by 29 · see citing works

Brain network dynamics during spontaneous strategy shifts and incremental task optimization

Allegra, M., Seyed-Allaei, S., Schuck, N. W., Amati, D., Laio, A., & Reverberi, C. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116854 · Cited by 27 · see citing works

Attending to What and Where: Background Connectivity Integrates Categorical and Spatial Attention

Tompary, A., Al-Aidroos, N., & Turk‐Browne, N. B. (2018) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01284 · Cited by 27 · see citing works

Noise correlations in the human brain and their impact on pattern classification

Bejjanki, V. R., da Silveira, R. A., Cohen, J. D., & Turk‐Browne, N. B. (2017) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005674 · Cited by 26 · see citing works

Distributed representation of context by intrinsic subnetworks in prefrontal cortex

Waskom, M., & Wagner, A. D. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1615269114 · Cited by 26 · see citing works

Increased resting‐state thalamocortical functional connectivity in children and young adults with autism spectrum disorder

Baran, B., Nguyen, Q. T. H., Mylonas, D., Santangelo, S. L., & Manoach, D. S. (2022) · Autism Research · doi:10.1002/aur.2875 · Cited by 26 · see citing works

Puzzle game-based learning: a new approach to promote learning of principles of coronary artery bypass graft surgery

Khorammakan, R., Omid, A., Mirmohammadsadeghi, M., & Ghadami, A. (2023) · BMC Medical Education · doi:10.1186/s12909-023-04156-w · Cited by 30 · see citing works

Granger causality analysis reveals distinct spatio-temporal connectivity patterns in motor and perceptual visuo-spatial working memory

Protopapa, F., Siettos, C. I., Evdokimidis, I., & Smyrnis, N. (2014) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2014.00146 · Cited by 26 · see citing works

The synergy of neuromarketing and artificial intelligence: A comprehensive literature review in the last decade

Alsharif, A. H., Wang, J., Isa, S. M., Salleh, N. Z. M., Dawas, H. A., & Alsharif, M. H. (2025) · Future Business Journal · doi:10.1186/s43093-025-00591-x · Cited by 36 · see citing works

Corticothalamic Synaptic Noise as a Mechanism for Selective Attention in Thalamic Neurons

Béhuret, S., Deleuze, C., & Bal, T. (2015) · Frontiers in Neural Circuits · doi:10.3389/fncir.2015.00080 · Cited by 24 · see citing works

How functional network connectivity changes as a result of lesion and recovery: An investigation of the network phenotype of stroke

Tao, Y., & Rapp, B. C. (2020) · Cortex · doi:10.1016/j.cortex.2020.06.011 · Cited by 25 · see citing works

Within-subject reproducibility varies in multi-modal, longitudinal brain networks

Nakuci, J., Wasylyshyn, N., Cieslak, M., Elliott, J. C., Bansal, K., Giesbrecht, B., Grafton, S. T., Vettel, J. M., Garcia, J. O., & Muldoon, S. F. (2023) · Scientific Reports · doi:10.1038/s41598-023-33441-3 · Cited by 22 · see citing works

Masked features of task states found in individual brain networks

Porter, A., Nielsen, A. N., Dorn, M., Dworetsky, A., Edmonds, D., & Gratton, C. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac247 · Cited by 21 · see citing works

Task-residual functional connectivity of language and attention networks

Tran, S. M., McGregor, K., James, G. A., Gopinath, K., Krishnamurthy, V., Krishnamurthy, L. C., & Crosson, B. (2018) · Brain and Cognition · doi:10.1016/j.bandc.2018.02.003 · Cited by 21 · see citing works

Frontoparietal Activity Interacts With Task-Evoked Changes in Functional Connectivity

Hwang, K., Shine, J. M., & D’Esposito, M. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy011 · Cited by 20 · see citing works

Modulation of pulvinar connectivity with cortical areas in the control of selective visual attention

Guedj, C., & Vuilleumier, P. O. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119832 · Cited by 17 · see citing works

Pain trajectories and their associations with cognition among older adults: a 10-year cohort study from network perspective

Sun, H., Bai, W., Chen, P., Zhang, L., Smith, R. D., Su, Z., Cheung, T. C. C., Ungvari, G. S., Ng, C. H., Zhang, Q., et al. (2024) · Age and Ageing · doi:10.1093/ageing/afae054 · Cited by 20 · see citing works

Attention enhances category representations across the brain with strengthened residual correlations to ventral temporal cortex

Keller, A. S., Jagadeesh, A. V., Bugatus, L., Williams, L. M., & Kalanit Grill-spector, A. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.118900 · Cited by 18 · see citing works

Selectivity in Postencoding Connectivity with High-Level Visual Cortex Is Associated with Reward-Motivated Memory

Murty, V. P., Tompary, A., Adcock, R. A., & Davachi, L. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.4032-15.2017 · Cited by 18 · see citing works

Learning induces coordinated neuronal plasticity of metabolic demands and functional brain networks

Klug, S., Godbersen, G. M., Rischka, L., Wadsak, W., Pichler, V., Klöbl, M., Hacker, M., Lanzenberger, R. R., & Hahn, A. (2022) · Communications Biology · doi:10.1038/s42003-022-03362-4 · Cited by 20 · see citing works

Rapid Functional Reorganization in Human Cortex Following Neural Perturbation

Zanto, T. P., Chadick, J. Z., Satris, G. G., & Gazzaley, A. H. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.0308-13.2013 · Cited by 17 · see citing works

Investigating the network consequences of focal brain lesions through comparisons of real and simulated lesions

Tao, Y., & Rapp, B. C. (2021) · Scientific Reports · doi:10.1038/s41598-021-81107-9 · Cited by 16 · see citing works

Influences of affective context on amygdala functional connectivity during cognitive control from adolescence through adulthood

Ravindranath, O., Ordaz, S. J., Padmanabhan, A., Foran, W., Jalbrzikowski, M., Calabro, F. J., & Luna, B. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100836 · Cited by 14 · see citing works

How do tasks impact the reliability of fMRI functional connectivity?

Rai, S., Graff, K., Tansey, R. C., & Bray, S. (2024) · Human Brain Mapping · doi:10.1002/hbm.26535 · Cited by 15 · see citing works

Attention and Memory

Sherman, B. E., & Turk‐Browne, N. B. (2024) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780190917982.013.21 · Cited by 14 · see citing works

The Human Intraparietal Sulcus Modulates Task-Evoked Functional Connectivity

Hwang, K., Shine, J. M., Cellier, D., & D’Esposito, M. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz133 · Cited by 15 · see citing works

The dynamic basis of cognition: an integrative core under the control of the ascending neuromodulatory systemPreprint

Shine, J. M., Breakspear, M. J., Bell, P. T., Martens, K. A. E., Shine, R., Koyejo, S., Sporns, O., & Poldrack, R. A. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/266635 · Cited by 15 · see citing works

Task-evoked activity quenches neural correlations and variability across cortical areasPreprint

Ito, T., Brincat, S. L., Siegel, M., Mill, R. D., He, B. J., Miller, E. K., Rotstein, H. G., & Cole, M. W. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/560730 · Cited by 14 · see citing works

Three-stage processing of category and variation information by entangled interactive mechanisms of peri-occipital and peri-frontal cortices

Karimi-Rouzbahani, H. (2018) · Scientific Reports · doi:10.1038/s41598-018-30601-8 · Cited by 13 · see citing works

Top-down control of visual attention

Noudoost, B., Chang, M. H., Steinmetz, N. A., & Moore, T. (2010) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2010.02.003 · Cited by 329 · see citing works

Top-down attention alters background connectivity between retinotopic and category-specific visual areas

Al-Aidroos, N., Said, C. P., & Turk‐Browne, N. B. (2011) · Journal of Vision · doi:10.1167/11.11.174 · Cited by 1 · see citing works

Attentional switching of connectivity between visual and memory systems

Córdova, N. I., Tompary, A., & Turk‐Browne, N. B. (2015) · Journal of Vision · doi:10.1167/15.12.229

Top-down control of visual attention and its reflection in human visual cortex

Peters, J. C. (2007) · doi:10.26481/dis.20071024jp

Long-range neural coupling through synchronization with attention

Gregoriou, G. G., Gotts, S. J., Zhou, H., & Desimone, R. (2009) · Progress in brain research · doi:10.1016/s0079-6123(09)17603-3 · Cited by 82 · see citing works