Cited by 1,445Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and Applications

The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

A generalized form of context-dependent psychophysiological interactions (gPPI): A comparison to standard approaches

Open access

McLaren, Donald G., Ries, Michele L., Xu, Guofan, Johnson, Sterling C.·2012·NeuroImage

DOI 10.1016/j.neuroimage.2012.03.068PMC PMC3376181

Open this paper in CoChat — free account

Abstract

Functional MRI (fMRI) allows one to study task-related regional responses and task-dependent connectivity analysis using psychophysiological interaction (PPI) methods. The latter affords the additional opportunity to understand how brain regions interact in a task-dependent manner. The current implementation of PPI in Statistical Parametric Mapping (SPM8) is configured primarily to assess connectivity differences between two task conditions, when in practice fMRI tasks frequently employ more than two conditions. Here we evaluate how a generalized form of context-dependent PPI (gPPI; http://www.nitrc.org/projects/gppi), which is configured to automatically accommodate more than two task conditions in the same PPI model by spanning the entire experimental space, compares to the standard implementation in SPM8. These comparisons are made using both simulations and an empirical dataset. In the simulated dataset, we compare the interaction beta estimates to their expected values and model fit using the Akaike information criterion (AIC). We found that interaction beta estimates in gPPI were robust to different simulated data models, were not different from the expected beta value, and had better model fits than when using standard PPI (sPPI) methods. In the empirical dataset, we compare the model fit of the gPPI approach to sPPI. We found that the gPPI approach improved model fit compared to sPPI. There were several regions that became non-significant with gPPI. These regions all showed significantly better model fits with gPPI. Also, there were several regions where task-dependent connectivity was only detected using gPPI methods, also with improved model fit. Regions that were detected with all methods had more similar model fits. These results suggest that gPPI may have greater sensitivity and specificity than standard implementation in SPM. This notion is tempered slightly as there is no gold standard; however, data simulations with a known outcome support our conclusions about gPPI. In sum, the generalized form of context-dependent PPI approach has increased flexibility of statistical modeling, and potentially improves model fit, specificity to true negative findings, and sensitivity to true positive findings.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1016/j.neuroimage.2012.03.068

Cites

24 of 24 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

A new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879
Model selection and multimodel inference: a practical information-theoretic approach.
Guthery, F. S., Burnham, K. P., & Anderson, D. R. (2003) · The Journal of Wildlife Management · doi:10.2307/3802723 · Cited by 41,495
ANew Look at the Statistical Model Identification
AKAlKE, H. (2011) · Cited by 4,177
Psychophysiological and Modulatory Interactions in Neuroimaging
Friston, K. J., Buechel, C., Fink, G. R., Morris, J., Rolls, E., & Dolan, R. J. (1997) · NeuroImage · doi:10.1006/nimg.1997.0291 · Cited by 3,097
Linear Systems Analysis of Functional Magnetic Resonance Imaging in Human V1
Boynton, G., Engel, S., Glover, G., & Heeger, D. (1996) · Journal of Neuroscience · doi:10.1523/jneurosci.16-13-04207.1996 · Cited by 2,522
Analysis of fMRI Time-Series Revisited
Friston, K. J., Holmes, A. P., Poline, J., Grasby, P. M., Williams, S., Frackowiak, R. S. J., & Turner, R. (1995) · NeuroImage · doi:10.1006/nimg.1995.1007 · Cited by 2,504
A Population-Average, Landmark- and Surface-based (PALS) atlas of human cerebral cortex
Van Essen, D. C. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.06.058 · Cited by 1,151
Erroneous analyses of interactions in neuroscience: A problem of significance
Nieuwenhuis, S., Forstmann, B. U., & Wagenmakers, E.-J. (2011) · Nature Neuroscience · doi:10.1038/nn.2886 · Cited by 864
Modeling regional and psychophysiologic interactions in fMRI: the importance of hemodynamic deconvolution
Gitelman, D. R., Penny, W. D., Ashburner, J., & Friston, K. J. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00058-2 · Cited by 799
Characterizing evoked hemodynamics with fMRI.
Friston, K. J., Frith, C., Turner, R., & Frackowiak, R. (1995) · NeuroImage · doi:10.1006/nimg.1995.1018 · Cited by 711

Flagged first, then by citations

Show all 24 references

Sorted by citations

Items 701–800 of 1,000

Corticostriatal connectivity is associated with the reduction of intergroup bias and greater impartial giving in youth
Do, K. T., & Telzer, E. H. (2019) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2019.100628 · Cited by 20
Differential neural predictors of treatment response for fear and dysphoric features of posttraumatic stress disorder
Bryant, R. A., Erlinger, M., Felmingham, K. L., Malhi, G. S., O'Donnell, M. L., Williams, L. M., & Korgaonkar, M. S. (2020) · Depression and Anxiety · doi:10.1002/da.23061 · Cited by 16
A Preferential Role for Ventromedial Prefrontal Cortex in Assessing “the Value of the Whole” in Multiattribute Object Evaluation
Pelletier, G., Aridan, N., Fellows, L. K., & Schönberg, T. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.0241-21.2021 · Cited by 22
Dynamic neural mechanisms underlie race disparities in social cognition
Cassidy, B. S., & Krendl, A. C. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.02.043 · Cited by 15
Neural basis of corruption in power-holders
Hu, Y., Hu, C., Derrington, E. A., Corgnet, B., Qu, C., & Dreher, J. (2021) · eLife · doi:10.7554/elife.63922 · Cited by 23
Distinct medial-temporal lobe mechanisms of encoding and amygdala-mediated memory reinstatement for disgust and fear
Riegel, M., Wierzba, M., Wypych, M., Ritchey, M., Jednoróg, K., Grabowska, A., Vuilleumier, P. O., & Marchewka, A. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.118889 · Cited by 15
Associations between peripheral inflammatory markers and amygdala activity and connectivity in response to emotional faces in adolescents
Swartz, J., Carranza, A. F., Knodt, A., Irwin, M., & Hostinar, C. E. (2022) · Brain, behavior, and immunity · doi:10.1016/j.bbi.2022.06.014 · Cited by 14
Fronto-striatal connectivity patterns account for the impact of methylphenidate on choice impulsivity among healthy adults
Daood, M., Peled‐Avron, L., Ben‐Hayun, R., Nevat, M., Aharon‐Peretz, J., Tomer, R., & Admon, R. (2022) · Neuropharmacology · doi:10.1016/j.neuropharm.2022.109190 · Cited by 14
Distraction and cognitive control independently impact parietal and prefrontal response to pain
Silvestrini, N., & Corradi‐Dell’Acqua, C. (2023) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsad018 · Cited by 16
Functional Connectivity Alterations of Cognitive Flexibility in Aging: Different Patterns of Global and Local Switch Costs
Li, T., Xia, H., Li, H., He, Q., & Chen, A. (2023) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbad092 · Cited by 17
Connectivity differences between inferior frontal gyrus and mentalizing network in autism as compared to developmental coordination disorder and non-autistic youth
Jayashankar, A., Bynum, B., Butera, C. D., Kilroy, E., Harrison, L., & Aziz‐Zadeh, L. (2023) · Cortex · doi:10.1016/j.cortex.2023.06.014 · Cited by 16
Aberrant brain network topology in youth with a familial risk for bipolar disorder: a task‐based fMRI connectome study
Pan, N., Qin, K., Patino, L. R., Tallman, M. J., Lei, D., Lu, L., Li, W., Blom, T. J., Bruns, K. M., Welge, J. A., et al. (2024) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13946 · Cited by 15
The hippocampus dissociates present from past and future goals
Montagrin, A., Croote, D. E., Preti, M. G., Lerman, L., Baxter, M. G., & Schiller, D. (2024) · Nature Communications · doi:10.1038/s41467-024-48648-9 · Cited by 15
Charting a Future for fMRI in Communication Science
Turner, B. O., Huskey, R., & Weber, R. (2018) · Communication Methods and Measures · doi:10.1080/19312458.2018.1520823 · Cited by 16
The relationship between loneliness and working-memory-related frontoparietal network connectivity in people with major depressive disorder
Gao, M., Shao, R., Huang, C., Liu, H., Chen, Y.-L., Lee, S., Lin, C., & Lee, T. M. C. (2020) · Behavioural Brain Research · doi:10.1016/j.bbr.2020.112776 · Cited by 16
Cue-elicited functional connectivity of the periaqueductal gray and tonic cocaine craving
Zhang, S., Zhornitsky, S., Wang, W., Dhingra, I., Le, T. M., & Li, C. R. (2020) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2020.108240 · Cited by 16
Neural Correlates of Conflicting Social Influence on Adolescent Risk Taking
Kwon, S., Do, K. T., McCormick, E. M., & Telzer, E. H. (2020) · Journal of Research on Adolescence · doi:10.1111/jora.12587 · Cited by 22
Neural correlates of recursive thinking during interpersonal strategic interactions
Zhen, S., & Yu, R. (2021) · Human Brain Mapping · doi:10.1002/hbm.25355 · Cited by 14
Multimodal brain imaging connectivity analyses of emotional and motivational deficits in depression among women
Robert, G., Bannier, É., Comte, M., Domain, L., Corouge, I., Dondaine, T., Batail, J.-M. V., Ferré, J., Fakra, É., & Drapier, D. (2021) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.200074 · Cited by 14
Reduced Hippocampal-Striatal Interactions during Formation of Durable Episodic Memories in Aging
Ness, H. T., Folvik, L., Sneve, M. H., Dídac Vidal-piñeiro, A., Raud, L., Geier, O. M., Nyberg, L. H., Walhovd, K. B., & Fjell, A. M. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab331 · Cited by 17
Activation in Right Dorsolateral Prefrontal Cortex Underlies Stuttering Anticipation
Jackson, E. S., Dravida, S., Zhang, X., Noah, J. A., Gracco, V. L., & Hirsch, J. (2022) · Neurobiology of Language · doi:10.1162/nol_a_00073 · Cited by 17
Overlap and Differences in Brain Networks Underlying the Processing of Complex Sentence Structures in Second Language Users Compared with Native Speakers
Weber, K., Luther, L., Indefrey, P., & Peter Hagoort, A. (2016) · Brain Connectivity · doi:10.1089/brain.2015.0383 · Cited by 15
Self-construals moderate associations between trait creativity and social brain network
Liu, Y., Wu, B., Petti, C., Wu, X., & Han, S. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.02.012 · Cited by 15
Brain networks underlying aesthetic appreciation as modulated by interaction of the spectral and temporal organisations of music
Kim, S., Mueller, K., Lepsien, J., Mildner, T., & Fritz, T. H. (2019) · Scientific Reports · doi:10.1038/s41598-019-55781-9 · Cited by 16
Roles of the Default Mode Network in Different Aspects of Self-representation When Remembering Social Autobiographical Memories
Katsumi, A., Iwata, S., & Tsukiura, T. (2024) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_02143 · Cited by 13
Distress tolerance to auditory feedback and functional connectivity with the auditory cortex
Addicott, M. A., Daughters, S. B., Strauman, T. J., & Appelbaum, L. G. (2018) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2018.10.003 · Cited by 14
Effects of attention training technique on brain function in high- and low-cognitive-attentional syndrome individuals: Regional dynamics before, during, and after a single session of ATT
Kowalski, J., Wierzba, M., Wypych, M., Marchewka, A., & Dragan, M. (2020) · Behaviour Research and Therapy · doi:10.1016/j.brat.2020.103693 · Cited by 15
Effects of unilateral tDCS over left prefrontal cortex on emotion regulation in depression: Evidence from concurrent functional magnetic resonance imaging
van Dam, W. O., & Chrysikou, E. G. (2021) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-020-00830-4 · Cited by 16
Functional connectivity between the ventral anterior cingulate and amygdala during implicit emotional conflict regulation and daily-life emotion dysregulation
Hua, J. P. Y., Trull, T. J., Merrill, A. M., Tidwell, E. A., & Kerns, J. G. (2021) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2021.107905 · Cited by 13
Intolerance of uncertainty and functional connectivity of the anterior insula during anticipation of unpredictable reward
Radoman, M., & Gorka, S. M. (2022) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2022.09.003 · Cited by 15
Hypothalamic interaction with reward-related regions during subjective evaluation of foods
Ogawa, A., Osada, T., Tanaka, M., Suda, A., Nakajima, K., Oka, S., Kamagata, K., Aoki, S., Oshima, Y., Tanaka, S., et al. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119744 · Cited by 14
Learning from errors: Distinct neural networks for monitoring errors and maintaining corrects through repeated practice and feedback
Wang, L., & Yang, J. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120001 · Cited by 14
Functional brainstem representations of the human trigeminal cervical complex
Mehnert, J., Basedau, H., Sturm, L.-M., Nielsen, T., Jensen, R., & May, A. (2023) · Cephalalgia · doi:10.1177/03331024231174862 · Cited by 14
Evolutionarily conserved neural responses to affective touch in monkeys transcend consciousness and change with age
Charbonneau, J. A., Santistevan, A. C., Raven, E. P., Bennett, J. L., Russ, B. E., & Bliss‐Moreau, E. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2322157121 · Cited by 14
Stress-induced cortisol response predicts empathy for pain: The role of task-based connectivity between the insula and sensorimotor cortex during acute stress
Tang, Z., Liu, Y., Zhao, X., Hu, W., Zhang, M., Ren, Y., Wei, Z., & Yang, J. (2024) · Neurobiology of Stress · doi:10.1016/j.ynstr.2024.100682 · Cited by 14
Reward and Novelty Enhance Imagination of Future Events in a Motivational-Episodic Network
Bulganin, L., & Wittmann, B. C. (2015) · PLoS ONE · doi:10.1371/journal.pone.0143477 · Cited by 14
Decoupling of reaction time-related default mode network activity with cognitive demand
Barber, A. D., Caffo, B. S., Pekar, J. J., & Mostofsky, S. H. (2016) · Brain Imaging and Behavior · doi:10.1007/s11682-016-9543-4 · Cited by 18
Weakened Functional Connectivity Between the Amygdala and the Ventromedial Prefrontal Cortex Is Longitudinally Related to Psychopathic Traits in Low-Income Males During Early Adulthood
Waller, R. E., Gard, A. M., Shaw, D. S., Forbes, E. E., Neumann, C. S., & Hyde, L. W. (2018) · Clinical Psychological Science · doi:10.1177/2167702618810231 · Cited by 14
Social and Non-social Reward: A Preliminary Examination of Clinical Improvement and Neural Reactivity in Adolescents Treated With Behavioral Therapy for Anxiety and Depression
Schwartz, K. T. G., Kryza‐Lacombe, M., Liuzzi, M. T., Weersing, V. R., & Wiggins, J. L. (2019) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2019.00177 · Cited by 14
Confidence in Decision-Making during Probabilistic Tactile Learning Related to Distinct Thalamo–Prefrontal Pathways
Wang, B., & Pleger, B. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa073 · Cited by 14
Response of multiple demand network to visual search demands
Jung, K., Min, Y., & Han, S. W. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117755 · Cited by 13
Activating the attachment system modulates neural responses to threat in refugees with PTSD
Liddell, B. J., Malhi, G. S., Felmingham, K. L., Den, M. L., Das, P., Outhred, T., Nickerson, A., Askovic, M., Coello, M., Aroche, J., et al. (2021) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsab077 · Cited by 16
Role of right temporoparietal junction for counterfactual evaluation of partner’s decision in ultimatum game
Ogawa, A., Asano, S., Osada, T., Tanaka, M., Tochigi, R., Kamagata, K., Aoki, S., & Konishi, S. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac252 · Cited by 14
Lateral and medial prefrontal contributions to emotion generation by semantic elaboration during episodic encoding
Kaneda, T., Shigemune, Y., & Tsukiura, T. (2016) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-016-0468-6 · Cited by 16
Oxytocin Receptor Polymorphism Decreases Midline Neural Activations to Social Stimuli in Anorexia Nervosa
Sala, M., Han, K., Acevedo, S. F., Krawczyk, D. C., & McAdams, C. J. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.02183 · Cited by 15
When worry may be good for you: Worry severity and limbic-prefrontal functional connectivity in late-life generalized anxiety disorder
Wu, M., Mennin, D. S., Ly, M. J., Karim, H. T., Banihashemi, L., Tudorascu, D., Aizenstein, H. J., & Andreescu, C. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.07.022 · Cited by 16
Physiological arousal and visuocortical connectivity predict subsequent vividness of negative memories
Kark, S. M., & Kensinger, E. A. (2019) · Neuroreport · doi:10.1097/wnr.0000000000001274 · Cited by 14
Effective Connectivity Between Broca’s Area and Amygdala as a Mechanism of Top-Down Control in Worry
Guha, A., Spielberg, J. M., Lake, J. I., Popov, T. G., Heller, W., Yee, C. M., & Miller, G. A. (2019) · Clinical Psychological Science · doi:10.1177/2167702619867098 · Cited by 14
Soothing the emotional brain: modulation of neural activity to personal emotional stimulation by social touch
Kraus, J., Frick, A., Román, R., Jurkovičová, L., Mareček, R., Mikl, M., Brázdil, M., & Fredrikson, M. (2019) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsz090 · Cited by 18
Value-based decisions involve sequential sampling from memoryPreprint
Bakkour, A., Zylberberg, A., Shadlen, M. N., & Shohamy, D. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/269290 · Cited by 16
An adversarial collaboration to critically evaluate theories of consciousnessPreprint
Melloni, L., Ferrante, O., Górska, U., Henin, S. E., Hirschhorn, R., Khalaf, A. F., Lepauvre, A., Liu, L., Richter, D., Vidal, Y., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-3101836/v1 · Cited by 19
Two distinct neural pathways for mechanical versus digital technology
Federico, G., Lesourd, M., Fournel, A., Bluet, A., Bryche, C., Metaireau, M., Baldi, D., Brandimonte, M. A., Soricelli, A., Rossetti, Y., et al. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120971 · Cited by 14
Social brain networks: Resting-state and task-based connectivity in youth with and without epilepsy
Morningstar, M. A., French, R. C., Mattson, W. I., Englot, D. J., & Nelson, E. E. (2021) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2021.107882 · Cited by 14
Temporal Organization of Episodic and Experience-near Semantic Autobiographical Memories: Neural Correlates and Context-dependent Connectivity
Teghil, A., Bonavita, A., Procida, F., Giove, F., & Boccia, M. (2022) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01906 · Cited by 14
Modulations of static and dynamic functional connectivity among brain networks by electroacupuncture in post-stroke aphasia
Xu, M., Gao, Y., Zhang, H., Zhang, B., Lyu, T., Tan, Z., Li, C., Li, X., Huang, X., Kong, Q., et al. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.956931 · Cited by 13
Occipital and parietal cortex participate in a cortical network for transsaccadic discrimination of object shape and orientation
Baltaretu, B. R., Stevens, W. D., Freud, E., & Crawford, J. D. (2023) · Scientific Reports · doi:10.1038/s41598-023-38554-3 · Cited by 14
Single-dose effects of methylphenidate and atomoxetine on functional connectivity during an n-back task in boys with ADHD
Kowalczyk, O. S., Cubillo, A. I., Criaud, M., Giampietro, V., O’Daly, O., Mehta, M. A., & Rubia, K. (2023) · Psychopharmacology · doi:10.1007/s00213-023-06422-7 · Cited by 17
Hooked on a thought: Associations between rumination and neural responses to social rejection in adolescent girls
Yoon, L., Keenan, K. E., Hipwell, A. E., Forbes, E. E., & Guyer, A. E. (2023) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2023.101320 · Cited by 13
Integration of prior expectations and suppression of prediction errors during expectancy-induced pain modulation: the influence of anxiety and pleasantness
Tsai, H.-Y., Lapanan, K., Lin, Y., Huang, C., Lin, W., Lin, M., Lu, Z., Lin, F.-S., & Tseng, M. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.1627-23.2024 · Cited by 14
Simultaneous tACS-fMRI reveals state- and frequency-specific modulation of hippocampal-cortical functional connectivity
Kaiser, M., Wang, Y., ten Oever, S., Duecker, F., Sack, A. T., & van de Ven, V. G. (2025) · Communications Psychology · doi:10.1038/s44271-025-00202-z · Cited by 13
SPM—30 years and beyond
Zeidman, P., Ashburner, J., Barnes, G. R., Kowalczyk, O. S., Lambert, C., Vladimir Litvak, A., Nichols, T. E., Parr, T., Tierney, T. M., & Friston, K. J. (2025) · Cerebral Cortex · doi:10.1093/cercor/bhaf234 · Cited by 13
Neurofeedback learning for mental practice rather than repetitive practice improves neural pattern consistency and functional network efficiency in the subsequent mental motor execution
Lee, D., Jang, C., & Park, H. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.12.055 · Cited by 14
Executive functioning moderates neural reward processing in youth
Kryza‐Lacombe, M., Christian, I. R., Liuzzi, M. T., Owen, C. E., Hernandez, B. N., Dougherty, L. R., & Wiggins, J. L. (2020) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-020-00851-z · Cited by 13
Self-oriented neural circuitry predicts other-oriented adaptive risks in adolescence: a longitudinal study
Kwon, S., Turpyn, C. C., Prinstein, M. J., Lindquist, K. A., & Telzer, E. H. (2021) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsab076 · Cited by 17
Is neuroticism really bad for you? Dynamics in personality and limbic reactivity prior to, during and following real-life combat stress
Magal, N., Hendler, T., & Admon, R. (2021) · Neurobiology of Stress · doi:10.1016/j.ynstr.2021.100361 · Cited by 15
Neural correlates of emotional reactivity and regulation in traumatized North Korean refugees
Lee, K. H., Lee, H. Y., Park, I., Lee, Y. J., Kim, N., Jeon, S., Kim, S., Jeon, J. E., & Kim, S. J. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01579-1 · Cited by 15
Evaluation of the Short-Term Music Therapy on Brain Functions of Preterm Infants Using Functional Near-Infrared Spectroscopy
Ren, H., Zou, L., Wang, L., Lu, C., Yuan, Y., Dai, C., & Chen, W. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.649340 · Cited by 14
Amygdala in Action: Functional Connectivity during Approach and Avoidance Behaviors
Leitão, J., Burckhardt, M., & Vuilleumier, P. O. (2021) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01800 · Cited by 16
Mortality salience enhances neural activities related to guilt and shame when recalling the past
Xu, Z., Zhu, R., Zhang, S., Zhang, S., Liang, Z., Mai, X., & Liu, C. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac004 · Cited by 13
Neural Correlates Underlying Social-Cue-Induced Value Change
Terenzi, D., Madipakkam, A. R., Molter, F., Mohr, P. N. C., Vermeer, A. B. L., Liu, L., & Park, S. Q. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.2405-21.2022 · Cited by 13
Nutrition claims influence expectations about food attributes, attenuate activity in reward‐associated brain regions during tasting, but do not impact pleasantness
Rramani, Q., Barakat, Y., Jacob, G., Ohla, K., Lim, S. X. L., Schicker, D., Freiherr, J., Saruco, E., Pleger, B., Weber, B., et al. (2022) · Brain and Behavior · doi:10.1002/brb3.2828 · Cited by 18
Thinking about others and the future: Neural correlates of perspective taking relate to preferences for delayed rewards
O’Connell, G., Hsu, C., Christakou, A., & Chakrabarti, B. (2017) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-017-0550-8 · Cited by 16
Connecting Theory and Methods in Adolescent Brain Research
Beltz, A. M. (2018) · Journal of Research on Adolescence · doi:10.1111/jora.12366 · Cited by 13
Social reward processing: A biomarker for predicting psychosis risk?
Pelletier‐Baldelli, A., Orr, J. M., Bernard, J. A., & Mittal, V. A. (2018) · Schizophrenia Research · doi:10.1016/j.schres.2018.07.042 · Cited by 13
Encoding Praise and Criticism During Social Evaluation Alters Interactive Responses in the Mentalizing and Affective Learning Networks
Gao, S., Geng, Y., Li, J., Zhou, Y., & Yao, S. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00611 · Cited by 14
Attentional set to safety recruits the ventral medial prefrontal cortex
Yao, S., Qi, S., Kendrick, K. M., & Mobbs, D. (2018) · Scientific Reports · doi:10.1038/s41598-018-33953-3 · Cited by 14
Altered Functional Interactions of Inhibition Regions in Cognitively Normal Parkinson’s Disease
Harrington, D. L., Shen, Q., Theilmann, R. J., Castillo, G. N., Litvan, I., Filoteo, J. V., Huang, M., & Lee, R. R. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00331 · Cited by 12
Impaired cognitive performance under psychosocial stress in cannabis-dependent men is associated with attenuated precuneus activity
Zhao, W., Zimmermann, K., Zhou, X., Zhou, F., Fu, M., Dernbach, C., Scheele, D., Weber, B., Eckstein, M., Hurlemann, R., et al. (2020) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.190039 · Cited by 13
Preliminary Evidence That CD38 Moderates the Association of Neuroticism on Amygdala-Subgenual Cingulate Connectivity
Tabak, B. A., Young, K. S., Torre, J. B., Way, B. M., Burklund, L. J., Eisenberger, N. I., Lieberman, M. D., & Craske, M. G. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00011 · Cited by 13
Reward‐ and threat‐related neural function associated with risk and presence of depression in adolescents: a study using a composite risk score in Brazil
Yoon, L., Rohrsetzer, F., Battel, L., Anés, M., Manfro, P. H., Rohde, L. A., Viduani, A. C., Zajkowska, Z., Mondelli, V., Kieling, C., et al. (2021) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13496 · Cited by 13
Competing against a familiar friend: Interactive mechanism of the temporo-parietal junction with the reward-related regions during episodic encoding
Sugimoto, H., Shigemune, Y., & Tsukiura, T. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.02.020 · Cited by 12
Dynamic Network Communication in the Human Functional Connectome Predicts Perceptual Variability in Visual Illusion
Wang, Z., Zeljic, K., Jiang, Q., Gu, Y., Wang, W., & Wang, Z. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw347 · Cited by 14
Mapping effective connectivity within cortical networks with diffuse optical tomography
Hassanpour, M. S., Eggebrecht, A. T., Peelle, J. E., & Culver, J. P. (2017) · Neurophotonics · doi:10.1117/1.nph.4.4.041402 · Cited by 13
Older adults use a prefrontal regulatory mechanism to reduce negative memory vividness of a highly emotional real-world event
Ford, J. H., & Kensinger, E. A. (2018) · Neuroreport · doi:10.1097/wnr.0000000000001084 · Cited by 13
Oral Oxytocin Facilitates Responses to Emotional Faces in Reward and Emotional-Processing Networks in Females
Lan, C., Chen, Y., Zhang, Y., Kou, J., Huang, L., Xu, T., Yang, X., Xu, D., Yang, W., Kendrick, K. M., et al. (2023) · Neuroendocrinology · doi:10.1159/000531064 · Cited by 12
Action-specific feature processing in the human cortex: An fMRI study
Monaco, S., Chen, Y., Menghi, N., & Crawford, J. D. (2023) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2023.108773 · Cited by 17
Functional representation of trigeminal nociceptive input in the human periaqueductal gray
Mehnert, J., Tinnermann, A., Basedau, H., & May, A. (2024) · Science Advances · doi:10.1126/sciadv.adj8213 · Cited by 12
Let me in: The neural correlates of inclusion motivation in loneliness
Kanterman, A., Scheele, D., Nevat, M., Saporta, N., Lieberz, J., Hurlemann, R., & Shamay‐Tsoory, S. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.06.049 · Cited by 12
Connectivity of Fronto-Temporal Regions in Syntactic Structure Building During Speaking and Listening
Giglio, L., Sharoh, D., Ostarek, M., & Peter Hagoort, A. (2024) · Neurobiology of Language · doi:10.1162/nol_a_00154 · Cited by 12
Structural and functional features characterizing the brains of individuals with higher controllability of motor imagery
Furuta, T., Morita, T., Miura, G., & Naito, E. (2024) · Scientific Reports · doi:10.1038/s41598-024-68425-4 · Cited by 12
Transcranial Magnetic Stimulation–Induced Plasticity Improving Cognitive Control in Obsessive-Compulsive Disorder, Part II: Task-Based Neural Predictors of Treatment Response
Postma, T. S., Fitzsimmons, S., Vriend, C., Batelaan, N. M., van der Werf, Y. D., & van den Heuvel, O. A. (2024) · Biological Psychiatry · doi:10.1016/j.biopsych.2024.09.005 · Cited by 12
Diverse Frontoparietal Connectivity Supports Semantic Prediction and Integration in Sentence Comprehension
He, Y., Shao, X., Liu, C., Fan, C., Jefferies, E., Zhang, M., & Li, X. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.1404-24.2024 · Cited by 13
Action observation reveals a network with divergent temporal and parietal cortex engagement in dogs compared with humans
Boch, M., Karl, S., Wagner, I. C., Lengersdorff, L., Huber, L., & Lamm, C. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00385 · Cited by 14
Vicariously touching products through observing others' hand actions increases purchasing intention, and the effect of visual perspective in this process: An fMRI study
Liu, Y. T., Zang, X., Chen, L., Assumpção, L., & Li, H. (2017) · Human Brain Mapping · doi:10.1002/hbm.23845 · Cited by 18
Generalized Psychophysiological Interaction (PPI) Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease
Harrison, T. M., McLaren, D. G., Moody, T. D., Feusner, J. D., & Bookheimer, S. Y. (2017) · Journal of Visualized Experiments · doi:10.3791/55394 · Cited by 13
Self-citation
The influence of oxytocin and vasopressin on men’s judgments of social dominance and trustworthiness: An fMRI study of neutral faces
Teed, A. R., Han, K., Rakic, J., Mark, D. B., & Krawczyk, D. C. (2019) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2019.04.014 · Cited by 13
Effects of amnesia on processing in the hippocampus and default mode network during a naturalistic memory task: A case study
Oedekoven, C., Keidel, J. L., Anderson, S., Nisbet, A. P., & Bird, C. M. (2019) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2019.05.022 · Cited by 12
Dynamic functional connectivity between nucleus accumbens and the central executive network relates to chronic cannabis use
Yoo, H. B., Moya, B. E., & Filbey, F. M. (2020) · Human Brain Mapping · doi:10.1002/hbm.25036 · Cited by 12
Frontoparietal hyperconnectivity during cognitive regulation in obsessive-compulsive disorder followed by reward valuation inflexibility
Ferreira, S., Moreira, P. S., Magalhães, R. J. D. S., Coelho, A., Marques, P., Portugal‐Nunes, C., Silva, C., Sousa, N., & Morgado, P. F. (2020) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2020.11.008 · Cited by 14
Functional Connectivity Within and Between n -Back Modulated Regions: An Adult Lifespan Psychophysiological Interaction Investigation
Pongpipat, E. E., Kennedy, K. M., Foster, C. M., Boylan, M. A., & Rodrigue, K. M. (2020) · Brain Connectivity · doi:10.1089/brain.2020.0791 · Cited by 12

Authors: McLaren, D. G., Ries, M. L., Xu, G., & Johnson, S. C.
Affiliations: University of Wisconsin–Madison (US)
Corresponding author: Johnson, Sterling C.
ORCID: McLaren, Donald G.
Xu, Guofan
Johnson, Sterling C.
Venue: NeuroImage
Publisher: Elsevier BV
Published: 2012-07
Volume: 61
Issue: 4
Pages: 1277-1286
ISSN: 1053-8119 (ISSN-L)
DOI: 10.1016/j.neuroimage.2012.03.068
PMC: PMC3376181
OpenAlex: W2132137022
Cited by: 1,445
References: 24
Citations by year: 2026: 99 · 2025: 121 · 2024: 113 · 2023: 100 · 2022: 117 · 2021: 125 · 2020: 139 · 2019: 115 · 2018: 129 · 2017: 120 · 2016: 122 · 2015: 71 · 2014: 44 · 2013: 19 · 2012: 7
FWCI: 23.11
Type: journal article
Language: en
Open access: green
europepmc.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: NeuroImage (publishedVersion)
PubMed (publishedVersion)
Europe PMC (PubMed Central) (acceptedVersion)
PubMed Central (acceptedVersion)
Funders: Department of Veterans Affairs Merit Review (I01CX000165)
National Institutes of Health (AG021155, AG000213)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Keywords: generalized psychophysiological interaction, functional MRI, statistical parametric mapping, model fit, Akaike information criterion, brain connectivity
MeSH terms: Brain, Brain Mapping, Female, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Models, Neurological, Psychophysiology, Sensitivity and Specificity

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

A generalized form of context-dependent psychophysiological interactions (gPPI): A comparison to standard approaches

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks