Modalities, Modes, and Models in Functional Neuroimaging

A default mode of brain function

Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190 · 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

What we can do and what we cannot do with fMRI

Logothetis, N. K. (2008) · Nature · doi:10.1038/nature06976 · Cited by 3,612 · see citing works

Getting formal with dopamine and reward

Schultz, W. (2002) · Neuron · doi:10.1016/s0896-6273(02)00967-4 · Cited by 2,574 · see citing works

A Resilient, Low-Frequency, Small-World Human Brain Functional Network with Highly Connected Association Cortical Hubs

Achard, S., Salvador, R., Whitcher, B., Suckling, J., & Bullmore, E. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.3874-05.2006 · Cited by 2,393 · see citing works

Beyond mind-reading: multi-voxel pattern analysis of fMRI data

Norman, K. A., Polyn, S. M., Detre, G. J., & Haxby, J. V. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.07.005 · Cited by 2,271 · see citing works

Resting-State Functional Connectivity Reflects Structural Connectivity in the Default Mode Network

Greicius, M. D., Supekar, K., Menon, V., & Dougherty, R. F. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn059 · Cited by 2,175 · see citing works

Functional Connectivity: The Principal-Component Analysis of Large (PET) Data Sets

Friston, K. J., Frith, C., Liddle, P., & Frackowiak, R. (1993) · Journal of Cerebral Blood Flow and Metabolism · doi:10.1038/jcbfm.1993.4 · Cited by 2,094 · see citing works

Learning the value of information in an uncertain world

Behrens, T. E. J., Woolrich, M. W., Walton, M. E., & Rushworth, M. F. S. (2007) · Nature Neuroscience · doi:10.1038/nn1954 · Cited by 2,053 · see citing works

Network structure of cerebral cortex shapes functional connectivity on multiple time scales

Honey, C. J., Kötter, R., Breakspear, M. J., & Sporns, O. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0701519104 · Cited by 1,683 · see citing works

Dynamics of blood flow and oxygenation changes during brain activation: the Balloon model

Buxton, R. B., Wong, E. C., & Frank, L. R. (1998) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910390602 · Cited by 1,665 · see citing works

Temporal difference models and reward-related learning in the human brain

O'Doherty, J. P., Dayan, P., Friston, K., Critchley, H., & Dolan, R. J. (2003) · Neuron · doi:10.1016/s0896-6273(03)00169-7 · Cited by 1,522 · see citing works

The Neural Basis of Financial Risk Taking

Kuhnen, C. M., & Knutson, B. (2005) · Neuron · doi:10.1016/j.neuron.2005.08.008 · Cited by 1,182 · see citing works

Reversible Interactions with para-Hydrogen Enhance NMR Sensitivity by Polarization Transfer

Adams, R. W., Aguilar, J. A., Atkinson, K. D., et al. (2009) · Science · doi:10.1126/science.1168877 · Cited by 1,050 · see citing works

The neural basis of functional brain imaging signals

Attwell, D., & Iadecola, C. (2002) · Trends in Neurosciences · doi:10.1016/s0166-2236(02)02264-6 · Cited by 957 · see citing works

Comparing dynamic causal models.

Penny, W. D., Stephan, K. E., Mechelli, A., & Friston, K. J. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.03.026 · Cited by 848 · see citing works

Functional connectivity of the human amygdala using resting state fMRI

Roy, A. K., Shehzad, Z., Margulies, D. S., Kelly, A. M. C., Uddin, L. Q., Gotimer, K., Biswal, B. B., Castellanos, F. X., & Milham, M. P. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.11.030 · Cited by 749 · see citing works

Reading Hidden Intentions in the Human Brain

Haynes, J., Sakai, K., Rees, G. E., Gilbert, S. J., Frith, C., & Passingham, R. E. (2007) · Current Biology · doi:10.1016/j.cub.2006.11.072 · Cited by 695 · see citing works

Neurophysiology of the BOLD fMRI Signal in Awake Monkeys

Goense, J. B. M., & Logothetis, N. K. (2008) · Current Biology · doi:10.1016/j.cub.2008.03.054 · Cited by 583 · see citing works

Identifying neural drivers with functional MRI: an electrophysiological validation

David, O., Guillemain, I., Saillet, S., Reyt, S., Deransart, C., Segebarth, C., & Depaulis, A. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060315 · Cited by 533 · see citing works

Model‐Based fMRI and Its Application to Reward Learning and Decision Making

O’Doherty, J. P., Hampton, A. N., & Kim, H. (2007) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1390.022 · Cited by 509 · see citing works

Applications of real-time fMRI

deCharms, R. C. (2008) · Nature reviews. Neuroscience · doi:10.1038/nrn2414 · Cited by 369 · see citing works

Does the brain have a baseline? Why we should be resisting a rest

Morcom, A. M., & Fletcher, P. C. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.013 · Cited by 369 · see citing works

A unified Bayesian framework for MEG/EEG source imaging

Wipf, D., & Nagarajan, S. S. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.02.059 · Cited by 355 · see citing works

Spatiotemporal mapping of brain activity by integration of multiple imaging modalities

Dale, A. M., & Halgren, E. (2001) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(00)00197-5 · Cited by 342 · see citing works

The effect of respiration variations on independent component analysis results of resting state functional connectivity.

Birn, R. M., Murphy, K., & Bandettini, P. A. (2008) · Human Brain Mapping · doi:10.1002/hbm.20577 · Cited by 283 · see citing works

Handbook of Brain Connectivity

Jirsa, V., & McIntosh, A. R. (2007) · Understanding complex systems · doi:10.1007/978-3-540-71512-2 · Cited by 264 · see citing works

Information theory, novelty and hippocampal responses: unpredicted or unpredictable?

Strange, B. A., Duggins, A., Penny, W. D., Dolan, R. J., & Friston, K. J. (2005) · Neural Networks · doi:10.1016/j.neunet.2004.12.004 · Cited by 264 · see citing works

Economic Games Quantify Diminished Sense of Guilt in Patients with Damage to the Prefrontal Cortex

Krajbich, I. M., Adolphs, R., Tranel, D., Denburg, N. L., & Camerer, C. F. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.5086-08.2009 · Cited by 259 · see citing works

Model driven EEG/fMRI fusion of brain oscillations

Valdes-Sosa, P. A., Sánchez‐Bornot, J. M., Sotero, R. C., Iturria‐Medina, Y., Alemán‐Gómez, Y., Bosch‐Bayard, J., Carbonell, F., & Ozaki, T. (2008) · Human Brain Mapping · doi:10.1002/hbm.20704 · Cited by 207 · see citing works

Recent advances in recording electrophysiological data simultaneously with magnetic resonance imaging

Laufs, H., Jean Daunizeau, A., Carmichael, D. W., & Kleinschmidt, A. K. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.11.039 · Cited by 193 · see citing works

Brain Function and Neurophysiological Correlates of Signals Used in Functional Neuroimaging

Lauritzen, M., & Gold, L. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-10-03972.2003 · Cited by 188 · see citing works

Understanding Overbidding: Using the Neural Circuitry of Reward to Design Economic Auctions

Delgado, M. R., Schotter, A., Ozbay, E. Y., & Phelps, E. A. (2008) · Science · doi:10.1126/science.1158860 · Cited by 180 · see citing works

Toward direct mapping of neuronal activity: MRI detection of ultraweak, transient magnetic field changes

Bodurka, J., & Bandettini, P. A. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10159 · Cited by 178 · see citing works

Heterarchical reinforcement-learning model for integration of multiple cortico-striatal loops: fMRI examination in stimulus-action-reward association learning

Haruno, M., & Kawato, M. (2006) · Neural Networks · doi:10.1016/j.neunet.2006.06.007 · Cited by 152 · see citing works

Neural substrates of visuomotor learning based on improved feedback control and prediction

Grafton, S. T., Schmitt, P. J., Horn, J. D. V., & Diedrichsen, J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.09.062 · Cited by 148 · see citing works

Ongoing Activity Fluctuations in hMT+ Bias the Perception of Coherent Visual Motion

Hesselmann, G., Kell, C. A., & Kleinschmidt, A. K. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.4398-08.2008 · Cited by 138 · see citing works

Detecting Sparse Signals in Random Fields, With an Application to Brain Mapping

Taylor, J., & Worsley, K. J. (2007) · Journal of the American Statistical Association · doi:10.1198/016214507000000815 · Cited by 136 · see citing works

The Functional Magnetic Resonance Imaging Data Center (fMRIDC): the challenges and rewards of large–scale databasing of neuroimaging studies

Horn, J. D. V., Grethe, J. S., Kostelec, P. J., Woodward, J. B., Aslam, J. A., Rus, D. L., Rockmore, D. N., & Gazzaniga, M. S. (2001) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2001.0916 · Cited by 136 · see citing works

Bayesian estimation of synaptic physiology from the spectral responses of neural masses

Moran, R. J., Stephan, K. E., Kiebel, S. J., Rombach, N., O'Connor, W. T., Murphy, K. J., Reilly, R. B., & Friston, K. J. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.01.025 · Cited by 126 · see citing works

Ventral–striatal/nucleus–accumbens sensitivity to prediction errors during classification learning

Rodriguez, P. F., Aron, A. R., & Poldrack, R. A. (2006) · Human Brain Mapping · doi:10.1002/hbm.20186 · Cited by 122 · see citing works

Combined MEG and EEG source imaging by minimization of mutual information

Baillet, S., Garnero, L., Marin, G., & Hugonin, J. (1999) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.759053 · Cited by 111 · see citing works

The emerging discipline of Computational Functional Anatomy

Miller, M. I., & Qiu, A. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.10.044 · Cited by 76 · see citing works

Electroencephalography-correlated functional MR imaging studies of epileptic activity

Lemieux, L. (2004) · Neuroimaging Clinics of North America · doi:10.1016/j.nic.2004.04.009 · Cited by 43 · see citing works

Novel nonparametric approach to canonical correlation analysis with applications to low CNR functional MRI data

Nandy, R. R., & Cordes, D. (2003) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10537 · Cited by 38 · see citing works

Modeling direct effects of neural current on MRI

Heller, L., Barrowes, B. E., & George, J. (2007) · Human Brain Mapping · doi:10.1002/hbm.20484 · Cited by 24 · see citing works

Neural syntax: cell assemblies, synapsembles, and readers

Buzsáki, G. (2010) · Neuron · doi:10.1016/j.neuron.2010.09.023 · Cited by 1,289 · see citing works

Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: A critical review

Orrù, G., Pettersson-Yeo, W., Marquand, A. F., Sartori, G., & Mechelli, A. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.01.004 · Cited by 1,012 · see citing works

Dreaming and the brain: from phenomenology to neurophysiology

Nir, Y., & Tononi, G. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2009.12.001 · Cited by 595 · see citing works

Electrophysiological source imaging: A noninvasive window to brain dynamics

He, B., Sohrabpour, A., Brown, E., & Liu, Z. (2018) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-062117-120853 · Cited by 297 · see citing works

Electrophysiological Imaging of Brain Activity and Connectivity—Challenges and Opportunities

He, B., Yang, L., Wilke, C., & Yuan, H. (2011) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2011.2139210 · Cited by 300 · see citing works

Connectivity differences in brain networks

Zalesky, A., Cocchi, L., Fornito, A., Murray, M. M., & Bullmore, E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.068 · Cited by 260 · see citing works

Gray matter alterations in chronic pain: A network-oriented meta-analytic approach

Cauda, F., Palermo, S., Costa, T., Torta, R., Duca, S., Vercelli, U., Geminiani, G., & Torta, D. M. E. (2014) · NeuroImage: Clinical · doi:10.1016/j.nicl.2014.04.007 · Cited by 212 · see citing works

Functional ultrasound imaging of brain activity in human newborns

Demene, C., Baranger, J., Bernal, M., Delanoe, C., Auvin, S., Biran, V., Alison, M., Mairesse, J., Harribaud, E., Pernot, M., et al. (2017) · Science Translational Medicine · doi:10.1126/scitranslmed.aah6756 · Cited by 207 · see citing works

Function–structure associations of the brain: Evidence from multimodal connectivity and covariance studies

Sui, J., Huster, R., Yu, Q., Segall, J. M., & Calhoun, V. D. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.09.044 · Cited by 162 · see citing works

Dynamic causal modeling in PTSD and its dissociative subtype: Bottom–up versus top–down processing within fear and emotion regulation circuitry

Nicholson, A. A., Friston, K. J., Zeidman, P., Harricharan, S., McKinnon, M. C., Densmore, M., Neufeld, R. W. J., Théberge, J., Corrigan, F., Jetly, R., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23748 · Cited by 159 · see citing works

General relationship of global topology, local dynamics, and directionality in large-scale brain networks

Moon, J.-Y., Lee, U., Blain-Moraes, S., & Mashour, G. A. (2015) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1004225 · Cited by 136 · see citing works

Using fMRI to study reward processing in humans: past, present, and future

Wang, K. S., Smith, D. V., & Delgado, M. R. (2016) · Journal of Neurophysiology · doi:10.1152/jn.00333.2015 · Cited by 105 · see citing works

Individual differences in verbal creative thinking are reflected in the precuneus

Chen, Q.-L., Xu, T., Yang, W.-J., Li, Y.-D., Sun, J.-Z., Wang, K.-C., Beaty, R. E., Zhang, Q.-L., Zuo, X.-N., & Qiu, J. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.07.001 · Cited by 79 · see citing works

The Psychobiology of Authentic and Simulated Dissociative Personality States: The Full Monty

Reinders, A. A. T. S., Willemsen, A. T. M., Vissia, E. M., Vos, H. P. J., den Boer, J. A., & Nijenhuis, E. R. S. (2016) · Journal of Nervous & Mental Disease · doi:10.1097/nmd.0000000000000522 · Cited by 51 · see citing works

Systems Neuroengineering: Understanding and Interacting with the Brain

Edelman, B. J., Johnson, N., Sohrabpour, A., Tong, S., Thakor, N., & He, B. (2015) · Engineering · doi:10.15302/j-eng-2015078 · Cited by 45 · see citing works

Functional imaging and migraine

Schwedt, T. J., & Chong, C. D. (2015) · Current Opinion in Neurology · doi:10.1097/wco.0000000000000194 · Cited by 35 · see citing works

Functional Near-Infrared Spectroscopy as Promising Method for Studying Cognitive Functions in Children

Yatsyk, L. M., Karkashadze, G. A., Altunin, V. V., et al. (2023) · Вопросы современной педиатрии · doi:10.15690/vsp.v21i6.2490 · Cited by 2 · see citing works

Functional Neuroimaging

Bodien, Y. G., Li, L. M., & Edlow, B. L. (2021) · Springer Publishing Company eBooks · doi:10.1891/9780826143051.0016

Functional MRI: Cognitive Neuroscience Applications

Kayser, A. S., Chen, A. J.-W., & D’Esposito, M. (2023) · Springer eBooks · doi:10.1007/978-3-031-10909-6_38 · Cited by 2 · see citing works

Functional Neuroimaging with Cerebral Blood Flow Change

Sadato, N. (1999) · Journal of the Visualization Society of Japan · doi:10.3154/jvs.19.supplement1_3