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Parametric Analysis of fMRI Data Using Linear Systems Methods
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Functional mapping of the human visual cortex by magnetic resonance imaging
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The Neural Basis of Financial Risk Taking
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Distributed Neural Representation of Expected Value
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Exacerbation of Pain by Anxiety Is Associated with Activity in a Hippocampal Network
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MethodMaturation of widely distributed brain function subserves cognitive development.
Luna, B., Thulborn, K. R., Munoz, D. P., Merriam, E. P., Garver, K. E., Minshew, N. J., Keshavan, M. S., Genovese, C. R., Eddy, W. F., & Sweeney, J. A. (2001) · NeuroImage · doi:10.1006/nimg.2000.0743 · Cited by 757
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Dysfunction of ventral striatal reward prediction in schizophrenia
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Incentive-elicited brain activation in adolescents: Similarities and differences from young adults
Bjork, J. M., Knutson, B., Fong, G. W., Caggiano, D. M., Bennett, S. M., & Hommer, D. W. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.4862-03.2004 · Cited by 567
Altered brain response to verbal learning following sleep deprivation
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Neural Responses to Monetary Incentives in Major Depression
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Visual mental imagery induces retinotopically organized activation of early visual areas
Slotnick, S. D., Thompson, W. L., & Kosslyn, S. M. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhi035 · Cited by 458
Activity in human ventral striatum locked to errors of reward prediction
Pagnoni, G., Zink, C. F., Montague, P. R., & Berns, G. S. (2002) · Nature Neuroscience · doi:10.1038/nn802 · Cited by 451
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Reward Reduces Conflict by Enhancing Attentional Control and Biasing Visual Cortical Processing
Padmala, S., & Pessoa, L. (2011) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00011 · Cited by 362
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Reward anticipation and outcomes in adult males with attention-deficit/hyperactivity disorder
Ströhle, A., Stoy, M., Wrase, J., Schwarzer, S., Schlagenhauf, F., Huss, M., Hein, J., Nedderhut, A., Neumann, B., Gregor, A., et al. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.09.044 · Cited by 323
Neural mechanisms of cognitive reappraisal of negative self-beliefs in social anxiety disorder.
Goldin, P. R., Manber-Ball, T., Werner, K., Heimberg, R., & Gross, J. J. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.07.014 · Cited by 305
Engelmann, J. B. (2009) · Frontiers in Human Neuroscience · doi:10.3389/neuro.09.004.2009 · Cited by 300
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Birn, R. M., Murphy, K., & Bandettini, P. A. (2008) · Human Brain Mapping · doi:10.1002/hbm.20577 · Cited by 283
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“Regressors of interest were convolved with a gamma-variate function that modeled a prototypical hemodynamic response before inclusion in the regression model (Cohen, 1997).”
MethodHuman Symbol Manipulation Within an Integrated Cognitive Architecture
Anderson, J. R. (2005) · Cognitive Science · doi:10.1207/s15516709cog0000_22 · Cited by 253
Cooney, R. E., Atlas, L. Y., Joormann, J., Eugène, F., & Gotlib, I. H. (2006) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2006.05.003 · Cited by 236
Striatal functional alteration in adolescents characterized by early childhood behavioral inhibition
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Reward system activation in schizophrenic patients switched from typical neuroleptics to olanzapine
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An fMRI investigation of covertly and overtly produced mono- and multisyllabic words
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The neural processes underlying self-agency
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Adolescents with major depression demonstrate increased amygdala activation
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Affective traits link to reliable neural markers of incentive anticipation
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Amphetamine modulates human incentive processing
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Neural reward processing is modulated by approach- and avoidance-related personality traits
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Different neural systems adjust motor behavior in response to reward and punishment
Wrase, J., Kahnt, T., Schlagenhauf, F., Beck, A., Cohen, M. X., Knutson, B., & Heinz, A. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.04.001 · Cited by 172
Self-citationStriatal functional alteration during incentive anticipation in pediatric anxiety disorders
Guyer, A. E., Choate, V. R., Detloff, A., Benson, B., Nelson, E. E., Perez-Edgar, K., Fox, N. A., Pine, D. S., & Ernst, M. (2012) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2011.11010006 · Cited by 165
Neural mechanism of intertemporal choice: From discounting future gains to future losses
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Network Analysis Reveals Increased Integration during Emotional and Motivational Processing
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Experimental designs and processing strategies for fMRI studies involving overt verbal responses
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Neural correlates of reward processing in adolescents with a history of inhibited temperament
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Impact of state anxiety on the interaction between threat monitoring and cognition
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MBSR vs aerobic exercise in social anxiety: fMRI of emotion regulation of negative self-beliefs
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The change of the brain activation patterns as children learn algebra equation solving
Qin, Y., Carter, C. S., Silk, E. M., Stenger, V. A., Fissell, K., Goode, A., & Anderson, J. R. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0401227101 · Cited by 142
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“Regressors for the negative self, negative case, positive self, and positive case were convolved with the gamma variate model (Cohen, 1997) of the hemodynamic response function.”
MethodBrain Mechanisms Supporting Discrimination of Sensory Features of Pain: A New Model
Oshiro, Y., Quevedo, A. S., McHaffie, J. G., Kraft, R. A., & Coghill, R. C. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.5538-08.2009 · Cited by 133
Interactivity and reward-related neural activation during a serious videogame
Cole, S. W., Yoo, D. J., & Knutson, B. (2012) · PLoS ONE · doi:10.1371/journal.pone.0033909 · Cited by 130
Maslowsky, J., Mogg, K., Bradley, B. P., McClure-Tone, E., Ernst, M., Pine, D. S., & Monk, C. S. (2010) · Journal of Child and Adolescent Psychopharmacology · doi:10.1089/cap.2009.0049 · Cited by 125
Mindfulness-based training attenuates insula response to an aversive interoceptive challenge.
Haase, L., Thom, N. J., Shukla, A., Davenport, P. W., Simmons, A. N., Stanley, E. A., Paulus, M. P., & Johnson, D. C. (2016) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu042 · Cited by 124
“, 1996) that modeled the prototypical 6–8 s delay hemodynamic response function (Friston, 1995) and the temporal dynamics of the hemodynamic response (typically 12–16 s; Cohen, 1997).”
BackgroundMethodAcceptance versus reappraisal: Behavioral, autonomic, and neural effects
Goldin, P. R., Moodie, C. A., & Gross, J. J. (2019) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-019-00690-7 · Cited by 120
Neural correlates of inhibitory deficits in depression
Eugène, F., Joormann, J., Cooney, R. E., Atlas, L. Y., & Gotlib, I. H. (2010) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2009.07.010 · Cited by 110
Gilman, J. M., & Hommer, D. W. (2008) · Addiction Biology · doi:10.1111/j.1369-1600.2008.00111.x · Cited by 107
Paulus, M. P., Flagan, T., Simmons, A. N., Gillis, K., Kotturi, S., Thom, N., Johnson, D. C., Van Orden, K. F., Davenport, P. W., & Swain, J. L. (2012) · PLoS ONE · doi:10.1371/journal.pone.0029394 · Cited by 100
“To that end, a 0–1 reference function of the particular time interval was convolved with a gamma variate function [44] modeling a prototypical hemodynamic response (6–8 second delay [45]) and to account for the temporal dynamics of the hemodynamic response (typically 12–16 seconds) [46].”
MethodControl of nucleus accumbens activity with neurofeedback
Greer, S. M., Trujillo, A. J., Glover, G. H., & Knutson, B. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.03.073 · Cited by 92
Gilman, J. M., Ramchandani, V. A., Crouss, T., & Hommer, D. W. (2012) · Neuropsychopharmacology · doi:10.1038/npp.2011.206 · Cited by 97
Linear and nonlinear relationships between visual stimuli, EEG and BOLD fMRI signals
Liu, Z., Rios, C., Zhang, N., Yang, L., Chen, W., & He, B. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.017 · Cited by 88
The spatial extent of the BOLD response
Saad, Z. S., Ropella, K. M., DeYoe, E. A., & Bandettini, P. A. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00016-8 · Cited by 78
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Frontoparietal mechanisms supporting attention to location and intensity of painful stimuli
Lobanov, O. V., Quevedo, A. S., Hadsel, M. S., Kraft, R. A., & Coghill, R. C. (2013) · Pain · doi:10.1016/j.pain.2013.05.030 · Cited by 65
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Gesture in the developing brain
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Developmental effects of decision-making on sensitivity to reward: An fMRI study
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An intrinsic diffusion response function for analyzing diffusion functional MRI time series
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Remembering forward: Neural correlates of memory and prediction in human motor adaptation
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Brain mechanisms supporting violated expectations of pain
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From cue to meaning: Brain mechanisms supporting the construction of expectations of pain
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“Regressors for the Asterisks and React conditions were convolved with the Cohen’s gamma variate model of the hemodynamic response function [40].”
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The effect of sublexical and lexical frequency on speech production: an fMRI investigation
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Metadata
- Authors
- Cohen, M. S.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 1997-08
- Volume
- 6
- Issue
- 2
- Pages
- 93-103
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2151811639
- Cited by
- 714
- References
- 1
- FWCI
- 18.14
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.