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Generalisability, Random Effects & Population Inference

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Misconceptions in the use of the General Linear Model applied to functional MRI: a tutorial for junior neuro-imagers

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Modeling and inference of multisubject fMRI data

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Contrasts and Classical Inference

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Behavioral and neural indices of affective coloring for neutral social stimuli

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Bayesian model selection favors parametric over categorical fMRI subsequent memory models in young and older adults

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Age, sex and APOE-ε4 modify the balance between soluble and fibrillar β-amyloid in non-demented individuals: topographical patterns across two independent cohorts

Cacciaglia, R., Salvadó, G., Molinuevo, J. L., Shekari, M., Falcón, C., Operto, G., Suárez‐Calvet, M., Milà‐Alomà, M., Sala, A., Rodriguez‐Vieitez, E., et al. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01436-7 · Cited by 23

Disorder- and cognitive demand-specific neurofunctional alterations during social emotional working memory in generalized anxiety disorder and major depressive disorder

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How context features modulate the involvement of the working memory system during discourse comprehension

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Timing of menarche and abnormal hippocampal connectivity in youth at clinical-high risk for psychosis

Damme, K. S. F., Ristanovic, I., Vargas, T., & Mittal, V. A. (2020) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2020.104672 · Cited by 24

Deciphering neuronal variability across states reveals dynamic sensory encoding

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Cueing emotional memories during slow wave sleep modulates next-day activity in the orbitofrontal cortex and the amygdala

Pereira, S. I. R., Tsimpanouli, M.-E., Hutchison, I. C., Schneider, J., Anderson, I. M., McFarquhar, M., Elliott, R., & Lewis, P. A. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119120 · Cited by 26

Frontostriatal pathways gate processing of behaviorally relevant reward dimensions

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Morphology of subcortical brain nuclei is associated with autonomic function in healthy humans

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Insight predicts subsequent memory via cortical representational change and hippocampal activity

Becker, M., Sommer, T., & Cabeza, R. E. L. (2025) · Nature Communications · doi:10.1038/s41467-025-59355-4 · Cited by 29

Denoising task-correlated head motion from motor-task fMRI data with multi-echo ICA

Reddy, N., Zvolanek, K. M., Moia, S., Caballero‐Gaudes, C., & Bright, M. G. (2023) · Imaging Neuroscience · doi:10.1162/imag_a_00057 · Cited by 19

Congruence of Inherent and Acquired Values Facilitates Reward-Based Decision-Making

Chien, S., Wiehler, A., Spezio, M., & Gläscher, J. P. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.3084-15.2016 · Cited by 19

Revisiting the importance of model fitting for model-based fMRI: It does matter in computational psychiatry

Katahira, K., & Toyama, A. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008738 · Cited by 18

Independent and interacting value systems for reward and information in the human brain

Dezza, I. C., Axel Cleeremans, B., & Alexander, W. H. (2022) · eLife · doi:10.7554/elife.66358 · Cited by 23

Retrospective Valuation of Experienced Outcome Encoded in Distinct Reward Representations in the Anterior Insula and Amygdala

Vestergaard, M. D., & Schultz, W. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.2130-19.2020 · Cited by 18

Complementary topology of maintenance and manipulation brain networks in working memory

Davis, S. W., Crowell, C. A., Beynel, L., Deng, L., Lakhlani, D., Hilbig, S. A., Lim, W., Palmer, H., Nguyen, D., Peterchev, A. V., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-35887-2 · Cited by 19

Cortical voice processing is grounded in elementary sound analyses for vocalization relevant sound patterns

Staib, M., & Frühholz, S. (2020) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2020.101982 · Cited by 16

Testable Hypotheses for Unbalanced Neuroimaging Data

McFarquhar, M. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00270 · Cited by 18

Feedback-related EEG dynamics separately reflect decision parameters, biases, and future choices

Kirschner, H., Fischer, A. G., & Ullsperger, M. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119437 · Cited by 18

A Common Neural Account for Social and Nonsocial Decisions

Arabadzhiyska, D. H., Garrod, O., Fouragnan, E. F., Luca, E. D., Schyns, P. G., & Philiastides, M. G. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.0375-22.2022 · Cited by 23

BOLD activity during emotion reappraisal positively correlates with dietary self-control success

Maier, S. U., & Hare, T. A. (2020) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaa097 · Cited by 17

Independent circuits in basal ganglia and cortex for the processing of reward and precision feedback

Pascucci, D., Hickey, C., Jovicich, J., & Turatto, M. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.08.067 · Cited by 19

Discovery of Descriptors for Stable Monolayer Oxide Coatings through Machine Learning

Jonayat, A. S. M., van Duin, A. C. T., & Janik, M. J. (2018) · ACS Applied Energy Materials · doi:10.1021/acsaem.8b01261 · Cited by 19

How to improve parameter estimates in GLM-based fMRI data analysis: cross-validated Bayesian model averaging

Soch, J., Meyer, A. P., Haynes, J., & Allefeld, C. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.06.056 · Cited by 15

A Sound Explanation for Motor Cortex Engagement during Action Word Comprehension

de Zubicaray, G. I., McMahon, K. L., & Arciuli, J. (2020) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01640 · Cited by 17

Age-Related Differences in Auditory Cortex Activity During Spoken Word Recognition

Rogers, C. S., Jones, M. S., McConkey, S. M., Spehar, B., Engen, K. J. V., Sommers, M. S., & Peelle, J. E. (2020) · Neurobiology of Language · doi:10.1162/nol_a_00021 · Cited by 17

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

Prefrontal signals precede striatal signals for biased credit assignment in motivational learning biases

Algermissen, J., Swart, J. C., Scheeringa, R., Cools, R., & den Ouden, H. E. M. (2024) · Nature Communications · doi:10.1038/s41467-023-44632-x · Cited by 16

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

MIDAS: Regionally linear multivariate discriminative statistical mapping

Varol, E., Sotiras, A., & Davatzikos, C. A. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.02.060 · Cited by 15

Free-viewing gaze patterns reveal a mood-congruency bias in MDD during an affective fMRI/eye-tracking task

Sun, R., Fietz, J., Erhart, M., Pöhlchen, D., Henco, L., Brückl, T. M., BeCOME study team, Binder, E. B., Erhardt, A., Lucae, S., et al. (2023) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-023-01608-8 · 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

Risk seeking for losses modulates the functional connectivity of the default mode and left frontoparietal networks in young males

Deza-Araujo, Y. I., Nebe, S., Neukam, P. T., Pooseh, S., Sebold, M., Garbusow, M., Heinz, A., & Smolka, M. N. (2018) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-018-0586-4 · Cited by 15

Neural mechanisms of sequential dependence in time perception: the impact of prior task and memory processing

Cheng, S., Chen, S., Glasauer, S., Keeser, D., & Shi, Z. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad453 · Cited by 13

Neural correlates of model-based behavior in internet gaming disorder and alcohol use disorder

Kwon, M., Choi, H., Park, H., Ahn, W., & Jung, Y. (2024) · Journal of Behavioral Addictions · doi:10.1556/2006.2024.00006 · Cited by 13

A Shared Threat-Anticipation Circuit Is Dynamically Engaged at Different Moments by Certain and Uncertain Threat

Cornwell, B. R., Didier, P. R., Grogans, S. E., Anderson, A. S., Islam, S., Kim, H. C., Kuhn, M., Tillman, R. M., Hur, J., Scott, Z. S., et al. (2025) · Journal of Neuroscience · doi:10.1523/jneurosci.2113-24.2025 · Cited by 14

Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making

Liakoni, V., Lehmann, M. P., Modirshanechi, A., Brea, J., Lutti, A., Wulfram Gerstner, B., & Preuschoff, K. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118780 · Cited by 16

Examining the relationship between autistic spectrum disorder characteristics and structural brain differences seen in anorexia nervosa

Halls, D., Leppänen, J., Kerr‐Gaffney, J., Simic, M., Nicholls, D., Mandy, W., Williams, S., & Tchanturia, K. (2022) · European Eating Disorders Review · doi:10.1002/erv.2910 · Cited by 12

Neural correlates of context-independent and context-dependent self-knowledge

Martial, C., Stawarczyk, D., & D’Argembeau, A. (2018) · Brain and Cognition · doi:10.1016/j.bandc.2018.05.004 · Cited by 14

Distributed representations of behavior-derived object dimensions in the human visual systemPreprint

Contier, O., Baker, C. I., & Hebart, M. N. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.23.553812 · Cited by 13

The Anterior Insula Processes a Time-Resolved Subjective Risk Prediction Error

Kim, J.-C., Hellrung, L., Nebe, S., & Tobler, P. N. (2025) · The Journal of Neuroscience · doi:10.1523/jneurosci.2302-24.2025 · Cited by 12

Unimanual sensorimotor learning—A simultaneous EEG‐fMRI aging study

Chettouf, S., Triebkorn, P., Daffertshofer, A., & Ritter, P. (2022) · Human Brain Mapping · doi:10.1002/hbm.25791 · Cited by 12

The date/delay effect in intertemporal choice: A combined fMRI and eye‐tracking study

Keidel, K., Schröder, R., Trautner, P., Radbruch, A., Murawski, C., & Ettinger, U. (2024) · Human Brain Mapping · doi:10.1002/hbm.26585 · Cited by 13

Minor Changes Change Memories: Functional Magnetic Resonance Imaging and Behavioral Reflections of Episodic Prediction Errors

Siestrup, S., & Schubotz, R. I. (2023) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_02047 · Cited by 14

Cerebellar and premotor activity during a non-fatiguing grip task reflects motor fatigue in relapsing-remitting multiple sclerosis

Svolgaard, O., Andersen, K. W., Bauer, C. H., Madsen, K. H., Blinkenberg, M., Sellebjerg, F. T., & Siebner, H. R. (2018) · PLoS ONE · doi:10.1371/journal.pone.0201162 · Cited by 12

Hippocampal and Prefrontal Processing of Network Topology to Simulate the Future

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Movement errors during skilled motor performance engage distinct prediction error mechanisms

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Interaction of Instrumental and Goal-Directed Learning Modulates Prediction Error Representations in the Ventral Striatum

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Regulation of action selection based on metacognition in humans via a ventral and dorsal medial prefrontal cortical network

Yuki, S., Nakatani, H., Nakai, T., Okanoya, K., & Tachibana, R. O. (2019) · Cortex · doi:10.1016/j.cortex.2019.05.001 · Cited by 12

Brain structure correlates of expected social threat and reward

Crawford, B., Muhlert, N., MacDonald, G., & Lawrence, A. D. (2020) · Scientific Reports · doi:10.1038/s41598-020-74334-z · Cited by 13

A dimensional approach to jealousy reveals enhanced fronto-striatal, insula and limbic responses to angry faces

Zheng, X., Luo, L., Li, J., Xu, L., Zhou, F., Gao, Z., Becker, B., & Kendrick, K. M. (2019) · Brain Structure and Function · doi:10.1007/s00429-019-01958-x · Cited by 10

Dissociation and integration of outcome and state uncertainty signals in cognitive control

Alexander, W. H., Deraeve, J., & Vassena, E. (2023) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-023-01091-7 · Cited by 11

Social dysfunction relates to shifts within socioaffective brain systems among Schizophrenia and Alzheimer's disease patients

Braak, S., Penninx, B. W. J. H., Su, T., Pijnenburg, Y. A. L., Nijland, D., Campos, A. V., de la Torre‐Luque, A., Saris, I. M. J., Reus, L. M., Beckenstrom, A. C., et al. (2024) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2024.05.004 · Cited by 11

The CSF p-tau/β-amyloid 42 ratio correlates with brain structure and fibrillary β-amyloid deposition in cognitively unimpaired individuals at the earliest stages of pre-clinical Alzheimer’s disease

Cacciaglia, R., Shekari, M., Salvadó, G., Milà‐Alomà, M., Falcón, C., Sánchez‐Benavides, G., Minguillón, C., Fauria, K., Grau‐Rivera, O., Molinuevo, J. L., et al. (2024) · Brain Communications · doi:10.1093/braincomms/fcae451 · Cited by 13

Neural signatures of individual variability in context-dependent perception of ambiguous facial expression

Kim, K.-I., Jung, W. H., Woo, C., & Kim, H. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119355 · Cited by 10

Vision- and touch-dependent brain correlates of body-related mental processing

Pamplona, G. S. P., Hardmeier, M., Younes, S., Goy, I., Fornari, E., & Ionta, S. (2022) · Cortex · doi:10.1016/j.cortex.2022.09.005 · Cited by 10

Frontopolar activity carries feature information of novel stimuli during unconscious reweighting of selective attention

Güldener, L., Jüllig, A., Soto, D., & Pollmann, S. (2022) · Cortex · doi:10.1016/j.cortex.2022.03.024 · Cited by 10

Common and distinct BOLD correlates of Simon and flanker conflicts which can(not) be reduced to time‐on‐task effects

Wojciechowski, J., Jurewicz, K., Dzianok, P., Antonova, I., Paluch, K., Wolak, T. P., & Kublik, E. (2024) · Human Brain Mapping · doi:10.1002/hbm.26549 · Cited by 9

Dynamic threat–reward neural processing under semi‐naturalistic ecologically relevant scenarios

Levitas, D. J., & James, T. W. (2024) · Human Brain Mapping · doi:10.1002/hbm.26648 · Cited by 9

Repetition Suppression Reveals Cue-Specific Spatial Representations for Landmarks and Self-Motion Cues in the Human Retrosplenial Cortex

Chen, X., Wei, Z., & Wolbers, T. (2024) · eNeuro · doi:10.1523/eneuro.0294-23.2024 · Cited by 11

Seven Tesla Evidence for Columnar and Rostral–Caudal Organization of the Human Periaqueductal Gray Response in the Absence of Threat: A Working Memory Study

Fischbach, A. K., Satpute, A. B., Quigley, K. S., Kragel, P. A., Chen, D., Bianciardi, M., Wald, L. L., Wager, T. D., Choi, J., Zhang, J., et al. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.1757-23.2024 · Cited by 11

The neurocomputational link between defensive cardiac states and approach-avoidance arbitration under threat

Klaassen, F. H., de Voogd, L. D., Hulsman, A. M., O’Reilly, J. X., Klumpers, F., Figner, B., & Roelofs, K. (2024) · Communications Biology · doi:10.1038/s42003-024-06267-6 · Cited by 10

The role of the ventromedial prefrontal cortex in automatic formation of impression and reflected impression

Ito, A., Yoshida, K., Takeda, K., Sawamura, D., Murakami, Y., Hasegawa, A., Sakai, S., & Izuma, K. (2020) · Human Brain Mapping · doi:10.1002/hbm.24996 · Cited by 8

Neural Mechanisms of Creative Problem Solving - From Representational Change to Memory FormationPreprint

Becker, M., Sommer, T., & Cabeza, R. E. L. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.06.13.544774 · Cited by 9

Reinforcement learning with associative or discriminative generalization across states and actions: fMRI at 3 T and 7 T

Colas, J. T., Dundon, N. M., Gerraty, R. T., Saragosa‐Harris, N. M., Szymula, K. P., Tanwisuth, K., Tyszka, J. M., van Geen, C., Ju, H., Toga, A. W., et al. (2022) · Human Brain Mapping · doi:10.1002/hbm.25988 · Cited by 10

Irrelevant Threats Linger and Affect Behavior in High Anxiety

Aberg, K. C., Toren, I., & Paz, R. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.1186-22.2022 · Cited by 8

A selection and targeting framework of cortical locations for line‐scanning fMRI

Heij, J., Raimondo, L., Siero, J. C. W., Dumoulin, S. O., van der Zwaag, W., & Knapen, T. H. J. (2023) · Human Brain Mapping · doi:10.1002/hbm.26459 · Cited by 7

Blunted Ventral Striatal Reactivity to Social Reward Is Associated with More Severe Motivation and Pleasure Deficits in Psychosis

Shackman, A. J., Smith, J. F., Orth, R. D., Savage, C. L. G., Didier, P. R., McCarthy, J. M., Bennett, M. E., & Blanchard, J. J. (2024) · Schizophrenia Bulletin · doi:10.1093/schbul/sbae221 · Cited by 7

Neural mechanisms underlying sound-induced visual motion perception: An fMRI study

Hidaka, S., Higuchi, S., Teramoto, W., & Sugita, Y. (2017) · Acta Psychologica · doi:10.1016/j.actpsy.2017.05.013 · Cited by 7

Real-Time Resting-State Functional Magnetic Resonance Imaging Using Averaged Sliding Windows with Partial Correlations and Regression of Confounding Signals

Vakamudi, K., Trapp, C., Talaat, K., Gao, K., Guimaraes, B. S. D. L. R., & Posse, S. (2020) · Brain Connectivity · doi:10.1089/brain.2020.0758 · Cited by 7

The algorithmic neuroanatomy of action-outcome learningPreprint

Morris, R. W., Dezfouli, A., Griffiths, K. R., Pelley, M. E. L., & Balleine, B. W. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/137851 · Cited by 7

Independent and Interacting Value Systems for Reward and Information in the Human BrainPreprint

Dezza, I. C., Cleeremens, A., & Alexander, W. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.05.04.075739 · Cited by 7

Adolescent social anxiety is associated with diminished discrimination of anticipated threat and safety in the bed nucleus of the stria terminalis.

Hur, J., Tillman, R. M., Kim, H. C., Didier, P. R., Anderson, A. S., Islam, S., Stockbridge, M. D., Reyes, A. D. L., DeYoung, K. A., Smith, J. F., et al. (2024) · Journal of Psychopathology and Clinical Science · doi:10.1037/abn0000940 · Cited by 11

Spillover effects of the US stock market and the predictability of returns: international evidence based on daily data

Wen, Y.-C., Li, B., Chen, X., & Singh, T. (2022) · Applied Economics · doi:10.1080/00036846.2022.2138818 · Cited by 6

The neurobehavioral correlates of exploration without learning: Trading off value for explicit, prospective, and variable information gains

Aberg, K. C., & Paz, R. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.113880 · Cited by 6

Finding the sweet spot of memory modification: An fMRI study on episodic prediction error strength and type

Liedtke, N., Boeltzig, M., Mecklenbrauck, F., Siestrup, S., & Schubotz, R. I. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121194 · Cited by 6

Fast frequency modulation is encoded according to the listener expectations in the human subcortical auditory pathway

Tabas, A., Kiebel, S. J., Marxen, M., & von Kriegstein, K. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00292 · Cited by 8

Functional Magnetic Resonance Imaging Studies in Sexual Medicine: A Primer

Mills‐Finnerty, C., Frangos, E., Allen, K. R., Komisaruk, B. R., & Wise, N. J. (2022) · The Journal of Sexual Medicine · doi:10.1016/j.jsxm.2022.03.217 · Cited by 6

Neurocognitive Underpinnings of Aggressive Predation in Economic Contests

Rojek-Giffin, M., Lebreton, M. P., Scholte, H. S., van Winden, F. A. A. M., Ridderinkhof, K. R., & Dreu, C. K. W. D. (2020) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01545 · Cited by 6

Neural Representation of Valenced and Generic Probability and Uncertainty

Kim, J.-C., Hellrung, L., Grueschow, M., Nebe, S., Nagy, Z., & Tobler, P. N. (2024) · The Journal of Neuroscience · doi:10.1523/jneurosci.0195-24.2024 · Cited by 5

The ventromedial prefrontal cortex in response to threat omission is associated with subsequent explicit safety memory

Wiemer, J., Leimeister, F., Gamer, M., & Pauli, P. (2024) · Scientific Reports · doi:10.1038/s41598-024-57432-0 · Cited by 5

Modality-specific and modality-general representations of subjective value in frontal cortex

Dang, S., Antono, J. E., Kagan, I., & Pooresmaeili, A. (2024) · Communications Biology · doi:10.1038/s42003-024-07253-8 · Cited by 7

Orthographic Influence on Spoken Word Identification: Behavioral and fMRI Evidence

Chiarello, C., Vaden, K., & Eckert, M. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.01.032 · Cited by 6

Reinforcement Learning

Man, V. Y., & O’Doherty, J. P. (2023) · Springer eBooks · doi:10.1007/978-3-031-45271-0_3 · Cited by 5

Neural correlates of effort-based valuation with prospective choicesPreprint

Aridan, N., Malecek, N. J., Poldrack, R. A., & Schönberg, T. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/357327 · Cited by 5

Differential contributions of ventral striatum subregions to the motivational and hedonic components of the affective processing of the rewardPreprint

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Stronger functional connectivity during reading contextually predictable words in slow readers

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Dorsolateral prefrontal cortex response to negative tweets relates to executive functioning

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Neural correlates of episodic memory modulated by temporally delayed rewards

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A Change-point Analysis Method for Single-trial Study of Simultaneous EEG-fMRI of Auditory/Visual Oddball TaskPreprint

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The neurofunctional basis of affective startle modulation in humans – evidence from combined facial EMG-fMRIPreprint

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Investigation of layer specific BOLD in the human visual cortex during visual attentionPreprint

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Representations of context and context-dependent values in vmPFC compete for guiding behaviorPreprint

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Communicating emotion through facial expressions: Social consequences and neural correlatesPreprint

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Are prediction error modifications domain specific in autism but domain general in ADHD?

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Unbiased Analysis of Item-Specific Multi-Voxel Activation Patterns Across Learning

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Expecting social punishment facilitates control over a decision under uncertainty by recruiting medial prefrontal cortex

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Neural and Psychological Mechanisms in the Relationship Between Resting Breathing Rate and Pain

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Unintended bias in the pursuit of collinearity solutions in fMRI analysis

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Code for real-data analysis: Unintended bias in the pursuit of collinearity solutions in fMRI analysis

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Hierarchical Prediction Errors in Midbrain and Basal Forebrain during Sensory Learning

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A note on orthogonalization against multicollinearity in linear regression, with a consideration of spacetime as the common parameter domain

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Estimation of general linear model coefficients for real-time application

(2014)