Functional connectivity between the amygdala and prefrontal cortex underlies processing of emotion ambiguity
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Abstract
Processing facial expressions of emotion draws on a distributed brain network. In particular, judging ambiguous facial emotions involves coordination between multiple brain areas. Here, we applied multimodal functional connectivity analysis to achieve network-level understanding of the neural mechanisms underlying perceptual ambiguity in facial expressions. We found directional effective connectivity between the amygdala, dorsomedial prefrontal cortex (dmPFC), and ventromedial PFC, supporting both bottom-up affective processes for ambiguity representation/perception and top-down cognitive processes for ambiguity resolution/decision. Direct recordings from the human neurosurgical patients showed that the responses of amygdala and dmPFC neurons were modulated by the level of emotion ambiguity, and amygdala neurons responded earlier than dmPFC neurons, reflecting the bottom-up process for ambiguity processing. We further found parietal-frontal coherence and delta-alpha cross-frequency coupling involved in encoding emotion ambiguity. We replicated the EEG coherence result using independent experiments and further showed modulation of the coherence. EEG source connectivity revealed that the dmPFC top-down regulated the activities in other brain regions. Lastly, we showed altered behavioral responses in neuropsychiatric patients who may have dysfunctions in amygdala-PFC functional connectivity. Together, using multimodal experimental and analytical approaches, we have delineated a neural network that underlies processing of emotion ambiguity.
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From Pre-Sleep Anxiety: Mechanisms and Therapeutic Approaches in Clinical Practice. (2026) · cites this paper as [23]
The Methods (Participants) and Results (Behavioral deficits in neuropsychiatric patients) passages concern emotion judgments and neuropsychiatric groups, not insomnia or cortisol. Searches for insomnia, cortisol, evening elevations, and sleep initiation found no passage addressing the claim in our copy. (LLM, conf=0.78)
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Wang, S., Yu, R., Tyszka, J. M., Zhen, S., Kovach, C. K., Sun, S., Huang, Y., Hurlemann, R., Ross, I. B., Chung, J. M., et al. (2017) · Nature Communications · doi:10.1038/ncomms14821 · Cited by 159 · cited 9× · see citing works
“On the other hand, task-based fMRI studies have demonstrated signi fi cantly weaker amygdala-PFC cortical coupling when processing negative distractors [78].”
InfluentialSelf-citationSladky, R., Höflich, A., Küblböck, M., Kraus, C., Baldinger, P., Moser, E., Lanzenberger, R., & Windischberger, C. (2015) · Cerebral Cortex · doi:10.1093/cercor/bht279 · Cited by 152 · cited 2× · see citing works
“…or effective connectivity in people with autism spectrum disorder (ASD) [37, 38], attention-de fi cit/hyperactivity disorder (ADHD) [39], social anxiety disorder [40, 41], major depression [42 – 44], aggressive behavior [45], schizophrenia [46], and post-traumatic stress disorders (PTSD) [47, 48].”
Neural Correlates of Variations in Event Processing during Learning in Basolateral Amygdala
Roesch, M. R., Calu, D. J., Esber, G. R., & Schoenbaum, G. M. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.5781-09.2010 · Cited by 150 · cited 1× · see citing works
“In addition to facial expressions, the amygdala is crucial for identifying ambiguous stimuli and in modulating vigilance and attention as a function thereof [14 – 16].”
Amygdala habituation and prefrontal functional connectivity in youth with autism spectrum disorders
Swartz, J. R., Wiggins, J. L., Carrasco, M., Lord, C., & Monk, C. S. (2013) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2012.10.012 · Cited by 146 · cited 3× · see citing works
“…neuroimaging studies have revealed altered amygdala-PFC functional or effective connectivity in people with autism spectrum disorder (ASD) [37, 38], attention-de fi cit/hyperactivity disorder (ADHD) [39], social anxiety disorder [40, 41], major depression [42 – 44], aggressive behavior [45],…”
Neurons in the human amygdala selective for perceived emotion
Wang, S., Tudusciuc, O., Mamelak, A. N., Ross, I. B., Adolphs, R., & Rutishauser, U. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1323342111 · Cited by 142 · cited 1× · see citing works
“Neurons in the human amygdala encode subjective judgment of facial emotions rather than simply their stimulus features [10].”
Self-citationPourtois, G., Spinelli, L., Seeck, M., & Vuilleumier, P. O. (2010) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/cabn.10.1.83 · Cited by 140 · cited 1× · see citing works
“Consistent with human single-unit studies, intracranial fi eld potentials in the human amygdala show modulation by emotion and attention [11], and neurons in the monkey amygdala encode facial expressions [12, 13].”
Hulvershorn, L. A., Mennes, M., Castellanos, F. X., Di Martino, A., Milham, M. P., Hummer, T. A., & Roy, A. K. (2014) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2013.11.012 · Cited by 138 · cited 4× · see citing works
“…functional or effective connectivity in people with autism spectrum disorder (ASD) [37, 38], attention-de fi cit/hyperactivity disorder (ADHD) [39], social anxiety disorder [40, 41], major depression [42 – 44], aggressive behavior [45], schizophrenia [46], and post-traumatic stress disorders…”
InfluentialPassamonti, L., Crockett, M. J., Apergis-Schoute, A. M., Clark, L., Rowe, J. B., Calder, A. J., & Robbins, T. W. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.07.033 · Cited by 137 · cited 2× · see citing works
“Given that the RFX-BMS does not assume that the optimal model is the most likely one for each individual participant and is therefore less susceptible to outliers in the experimental data than fi xed-effects (FFX) methods [53, 54].”
Cingulate cortex: Diverging data from humans and monkeys
Cole, M. W., Yeung, N., Freiwald, W. A., & Botvinick, M. (2009) · Trends in Neurosciences · doi:10.1016/j.tins.2009.07.001 · Cited by 136 · cited 1× · see citing works
“…(dACC) and pre-supplementary motor area (pre-SMA), plays a critical role in cognitive control, including the detection of performance errors and the monitoring of con fl ict [20 – 25], reward-based decision making and learning more generally [26], as well as emotion processing and regulation [27].”
Male and Female Mice Lacking Neuroligin-3 Modify the Behavior of Their Wild-Type Littermates
Kalbassi, S., Bachmann, S. O., Cross, E., Roberton, V. H., & Baudouin, S. J. (2017) · eNeuro · doi:10.1523/eneuro.0145-17.2017 · Cited by 136 · see citing works
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“PPI is an anatomically unconstrained (whole-brain), data-driven approach that does not provide directionality of any changes in connectivity between regions [54, 87].”
Prefrontal–Amygdala Dysregulation to Threat in Pediatric Posttraumatic Stress Disorder
Wolf, R. C., & Herringa, R. J. (2016) · Neuropsychopharmacology · doi:10.1038/npp.2015.209 · Cited by 128 · cited 1× · see citing works
“…or effective connectivity in people with autism spectrum disorder (ASD) [37, 38], attention-de fi cit/hyperactivity disorder (ADHD) [39], social anxiety disorder [40, 41], major depression [42 – 44], aggressive behavior [45], schizophrenia [46], and post-traumatic stress disorders (PTSD) [47, 48].”
Pourtois, G., Vocat, R., N’Diaye, K., Spinelli, L., Seeck, M., & Vuilleumier, P. O. (2009) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2009.12.020 · Cited by 128 · cited 2× · see citing works
“[83] for a review), as well as abnormal structural connections [84].”
Emotion Effects on Attention, Amygdala Activation, and Functional Connectivity in Schizophrenia
Anticevic, A., Repovš, G., & Barch, D. M. (2011) · Schizophrenia Bulletin · doi:10.1093/schbul/sbq168 · Cited by 109 · cited 1× · see citing works
“Simultaneous recordings from multiple brain regions permitted latency analysis, which may explain our fi ndings at the circuit level and help distinguish between stimulus-driven vs. goal-driven modulating processes, making possible the isolation of speci fi c neural processes especially relevant to…”
Coupling functions in networks of oscillators
Stankovski, T., Ticcinelli, V., McClintock, P. V. E., & Stefanovska, A. (2015) · New Journal of Physics · doi:10.1088/1367-2630/17/3/035002 · Cited by 85 · see citing works
Neural Cross-Frequency Coupling Functions
Stankovski, T., Ticcinelli, V., McClintock, P. V. E., & Stefanovska, A. (2017) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2017.00033 · Cited by 71 · cited 1× · see citing works
“A future study is needed to directly measure functional connectivity in these patients when they perform the same task.”
Neurophysiological mechanisms of error monitoring in human and non-human primates
Fu, Z., Sajad, A., Errington, S. P., Schall, J. D., & Rutishauser, U. (2023) · Nature reviews. Neuroscience · doi:10.1038/s41583-022-00670-w · Cited by 71 · cited 1× · see citing works
“…(dACC) and pre-supplementary motor area (pre-SMA), plays a critical role in cognitive control, including the detection of performance errors and the monitoring of con fl ict [20 – 25], reward-based decision making and learning more generally [26], as well as emotion processing and regulation [27].”
Bayesian model selection maps for group studies
Rosa, M. J., Bestmann, S., Harrison, L. M., & Penny, W. D. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.08.051 · Cited by 70 · cited 1× · see citing works
“We recorded from 321 neurons in the amygdala (21 sessions) and 236 neurons in the dmPFC (15 sessions; overall fi ring rate greater than 0.2 Hz).”
InfluentialIbrahim, K., Eilbott, J. A., Ventola, P., He, G., Pelphrey, K. A., McCarthy, G., & Sukhodolsky, D. G. (2019) · Biological Psychiatry: Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2019.01.009 · Cited by 67 · cited 2× · see citing works
“…the limitations of single-unit recordings have been complemented by fMRI and EEG: the limited spatial coverage were complemented by fMRI whole-brain analysis, and the small number of patients from whom single-neuron recordings were made was balanced by the large number of in-lab EEG participants.”
Affective ambiguity for a group recruits ventromedial prefrontal cortex
Simmons, A. N., Stein, M. B., Matthews, S. C., Feinstein, J. S., & Paulus, M. P. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.07.040 · Cited by 65 · cited 2× · see citing works
“The pre-de fi ned regions of interest (ROIs) in the dmPFC and vmPFC for SVC were chosen based on previous studies [32, 52].”
Structural connectivity of the amygdala in young adults with autism spectrum disorder
Gibbard, C., Ren, J.-J., Skuse, D., Clayden, J., & Clark, C. (2017) · Human Brain Mapping · doi:10.1002/hbm.23915 · Cited by 63 · cited 1× · see citing works
“It provided a systematic understanding of the amygdala-PFC network underlying emotion ambiguity with fMRI-based connectivity, EEG coordination of cortical regions, synchronization of brain rhythms, directed information fl ow of the source signals, and latency of single-neuron responses.”
Introduction to the Special Issue
Vogt, B. A. (1992) · Cerebral Cortex · doi:10.1093/cercor/2.6.435 · Cited by 56 · see citing works
A dynamic facial expression database
Roy, S., Roy, C., Fortin, I., Éthier-Majcher, C., Belin, P., & Gosselin, F. (2010) · Journal of Vision · doi:10.1167/7.9.944 · Cited by 54 · cited 1× · see citing works
“Four individuals (two female) were chosen from the STOIC database [49], a database of face images expressing highly recognizable emotions.”
Altered amygdala-prefrontal connectivity during emotion perception in schizophrenia
Bjorkquist, O. A., Olsen, E., Nelson, B. D., & Herbener, E. S. (2016) · Schizophrenia Research · doi:10.1016/j.schres.2016.04.003 · Cited by 50 · cited 2× · see citing works
“…or effective connectivity in people with autism spectrum disorder (ASD) [37, 38], attention-de fi cit/hyperactivity disorder (ADHD) [39], social anxiety disorder [40, 41], major depression [42 – 44], aggressive behavior [45], schizophrenia [46], and post-traumatic stress disorders (PTSD) [47, 48].”
Decision ambiguity is mediated by a late positive potential originating from cingulate cortex
Sun, S., Zhen, S., Fu, Z., Wu, D.-A. J., Shinsuke Shimojo, A., Adolphs, R., Yu, R., & Wang, S. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.06.003 · Cited by 49 · cited 9× · see citing works
“Detailed methods of fMRI imaging acquisition and functional localization have been described in our previous reports [4, 5].”
InfluentialSelf-citationAtypical frontoamygdala functional connectivity in youth with autism
Odriozola, P., Dajani, D. R., Burrows, C. A., Gabard-Durnam, L. J., Goodman, E. S., Baez, A. C., Tottenham, N., Uddin, L. Q., & Gee, D. G. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.12.001 · Cited by 49 · cited 1× · see citing works
“…the limitations of single-unit recordings have been complemented by fMRI and EEG: the limited spatial coverage were complemented by fMRI whole-brain analysis, and the small number of patients from whom single-neuron recordings were made was balanced by the large number of in-lab EEG participants.”
Yue, J.-L., Li, P., Shi, L., Lin, X., Sun, H., & Lü, L. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.02.025 · Cited by 31 · cited 1× · see citing works
“In particular, single-neuron recordings have signi fi cantly higher spatial and temporal resolution compared to previous human studies solely using neuroimaging techniques, and this approach has provided a key missing link between animal neurophysiology and human neuroimaging.”
A Neural Signature Encoding Decisions under Perceptual Ambiguity
Sun, S., Yu, R., & Wang, S. (2017) · eNeuro · doi:10.1523/eneuro.0235-17.2017 · Cited by 18 · cited 5× · see citing works
“Such alterations can be even observed in infants exposed to prenatal maternal depression [71].”
InfluentialSelf-citationSukhodolsky, D. G., Ibrahim, K., Kalvin, C. B., Jordan, R. P., Eilbott, J. A., & Hampson, M. (2021) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsab128 · Cited by 16 · cited 1× · see citing works
“…or effective connectivity in people with autism spectrum disorder (ASD) [37, 38], attention-de fi cit/hyperactivity disorder (ADHD) [39], social anxiety disorder [40, 41], major depression [42 – 44], aggressive behavior [45], schizophrenia [46], and post-traumatic stress disorders (PTSD) [47, 48].”
Context-dependent amygdala-prefrontal connectivity in youths with autism spectrum disorder
Christian, I. R., Liuzzi, M. T., Yu, Q., Kryza‐Lacombe, M., Monk, C. S., Jarcho, J. M., & Wiggins, J. L. (2022) · Research in Autism · doi:10.1016/j.rasd.2021.101913 · Cited by 15 · see citing works
Multimodal investigations of emotional face processing and social trait judgment of faces
Yu, H., Lin, C., Sun, S., Cao, R., Kar, K., & Wang, S. (2023) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.15084 · Cited by 12 · cited 1× · see citing works
“With the advantages of our study in mind, we would also like to note several limitations and possible caveats of our study.”
Self-citationA uniform human multimodal dataset for emotion perception and judgment
Sun, S., Cao, R., Rutishauser, U., Yu, R., & Wang, S. (2023) · Scientific Data · doi:10.1038/s41597-023-02693-z · Cited by 7 · see citing works
Self-citation
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- [87]Friston KJ Buechel C Fink GR Morris J Rolls E Dolan RJ Psychophysiological and modulatory interactions in neuroimaging Neuroimage 1997 6 218 29 10.1006/nimg.1997.0291 9344826 · DOI · Paper page
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A revisit of the amygdala theory of autism: Twenty years after
Wang, S., & Li, X. (2023) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2023.108519 · Cited by 34 · see citing works
Self-citationEmotion recognition using cross-modal attention from EEG and facial expression
Cui, R., Chen, W., & Li, M. (2024) · Knowledge-Based Systems · doi:10.1016/j.knosys.2024.112587 · Cited by 26 · see citing works
Sleep disturbances in generalized anxiety Disorder: The central role of insomnia
Xue, Y., Wang, W.-D., Liu, Y., Wang, J., & Walters, A. S. (2025) · Sleep Medicine · doi:10.1016/j.sleep.2025.106545 · Cited by 32 · see citing works
Emotion regulation: From neural circuits to a transdiagnostic perspective.
Morawetz, C., Hemetsberger, F. J., Laird, A. R., & Kohn, N. (2024) · Neuroscience and Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105960 · Cited by 27 · see citing works
Pharmacological modulation of the gut-brain axis: psychobiotics in focus for depression therapy
Abidin, Z. Z., Hein, Z. M., Nassir, C. M. N. C. M., Shari, N. B., & Ramli, M. D. C. (2025) · Frontiers in Pharmacology · doi:10.3389/fphar.2025.1665419 · Cited by 19 · see citing works
Dave, A., Ye, S., Bätz, L. R., Lan, X., Jacobs, H. I. L., & Ziaei, M. (2025) · Journal of Neuroscience · doi:10.1523/jneurosci.2059-24.2025 · Cited by 13 · see citing works
The Role of Basolateral Amygdala and Medial Prefrontal Cortex in Fear: A Systematic Review
Mavrych, V., Riyas, F., & Bolgova, O. (2025) · Cureus · doi:10.7759/cureus.78198 · Cited by 12 · see citing works
“The traditional view, championed by LeDoux, Šimić, and Sun, suggests that the amygdala processes emotional information first and then feeds this information to the mPFC for higher-order regulation [25-27].”
Kim, B.-H., Kim, S., Han, C., Jeong, H., Lee, M., & Kim, J. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1205126 · Cited by 12 · see citing works
Multimodal investigations of emotional face processing and social trait judgment of faces
Yu, H., Lin, C., Sun, S., Cao, R., Kar, K., & Wang, S. (2023) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.15084 · Cited by 12 · see citing works
Self-citationȘerban, M., Toader, C., & Covache-Busuioc, R.-A. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26178114 · Cited by 16 · see citing works
“This modified reward processing can lead to hypersexuality, financial irresponsibility, compulsive gambling, or extreme sensation-seeking behaviors, par-alleling certain facets of frontotemporal dementia, but with different tumor-dependent pathophysiology [147].”
Tanaka, M., He, Z., Han, S., & Battaglia, S. (2025) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2025.1633936 · Cited by 9 · see citing works
Zhang, J., Xia, J., Zhou, H., & Wang, S. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.115905 · Cited by 8 · see citing works
“Together, our results suggest that the synchronization between the MTL and MFC in the gamma frequency range signals target detection during visual search.”
InfluentialSelf-citationA uniform human multimodal dataset for emotion perception and judgment
Sun, S., Cao, R., Rutishauser, U., Yu, R., & Wang, S. (2023) · Scientific Data · doi:10.1038/s41597-023-02693-z · Cited by 7 · see citing works
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Chen, F., Li, J., Guo, J., Xiong, Y., & Ye, Z. (2025) · JMIR Aging · doi:10.2196/76210 · Cited by 4 · see citing works
“In women, enhanced reactivity within the limbic sys-tem, particularly in the amygdala, and stronger connectivity between the amygdala and prefrontal cortex have been associated with heightened sensitivity to emotional stimuli and increased vulnerability to mood disturbances [54].”
A multi-task EEG emotion recognition method based on emotion-dimension coupling constraints
Chen, G. (2026) · Scientific Reports · doi:10.1038/s41598-025-34211-z · Cited by 4 · see citing works
“EEG evidence indicates enhanced gamma-band synchronization within fronto-limbic networks during affective processing, with increased frontal connectivity and gamma power under high-arousal positive states 31–33 .”
A Chain Mediation Model for Psychological Maltreatment and Adolescents Social Media Dependence
Fang, J., Liu, Y., Jin, Y., Xiao, T., Pan, M., & Zhou, D. (2025) · Child Abuse Review · doi:10.1002/car.70069 · Cited by 4 · see citing works
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Brain local stability and network flexibility of table tennis players: a 7T MRI study
Liu, W., Ye, S., Cao, Y., Li, Y., Gao, Y., Zhao, M., Wang, Y., Yun, B., Luo, L., Zheng, C.-Y., et al. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae264 · Cited by 3 · see citing works
Fang, Y., Sui, X., Zheng, D., Sun, J., Chen, T., Jia, J., Yao, J., Wang, J., chen, C., & Zhang, Z. (2025) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2025.111488 · Cited by 2 · see citing works
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Roberts, A. I. (2025) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2025.106432 · Cited by 2 · see citing works
Halász, P., Simor, P., & Szűcs, A. (2024) · Epilepsy & Behavior Reports · doi:10.1016/j.ebr.2024.100650 · Cited by 3 · see citing works
Li, Y., Zhang, X., Xu, Z., Chu, X., Hu, Z., Ye, Z., Li, C., Wang, Z., Zeng, B., Pan, J., et al. (2024) · Molecular Brain · doi:10.1186/s13041-024-01133-2 · Cited by 2 · see citing works
“Other studies have also shown that the dorsomedial prefrontal cortex (dmPFC) plays an important role in cognitive control and emotion regulation [2].”
BackgroundDissociative Disorders: Neuroimaging as a New Narrative
Modesti, M. N., & CASALE, A. D. (2025) · Springer eBooks · doi:10.1007/978-3-031-73368-0_47 · Cited by 2 · see citing works
EEG-based functional connectivity patterns during boredom in an educational context
Yuvaraj, R., Seshadri, N. P. G., Samyuktha, S., Fogarty, J. S., Huang, J. S., Tan, S., & Wong, T. K. (2025) · Scientific Reports · doi:10.1038/s41598-025-19245-7 · Cited by 2 · see citing works
Multimodal investigations of human face perception in neurotypical and autistic adultsPreprint
Wang, S., Sun, S., Cao, R., Kar, K., & Yu, H. (2023) · doi:10.31234/osf.io/4g872 · Cited by 2 · see citing works
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Serhiyenko, V. A., Sehin, V. B., Pankiv, V. І., & Serhiyenko, A. A. (2025) · INTERNATIONAL JOURNAL OF ENDOCRINOLOGY (Ukraine) · doi:10.22141/2224-0721.21.3.2025.1534 · Cited by 1 · see citing works
Tian, L., Lian, T., Xie, H., Chen, Y., & Zhang, J. (2026) · Frontiers in Neurology · doi:10.3389/fneur.2026.1699988 · Cited by 1 · see citing works
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The emerging field of cognitive brain–computer interfaces
Sáez, I. (2026) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2026.06.012 · Cited by 1 · see citing works
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Kakusa, B. W., Gopal, J., Forman, L., Hartford, J. D., Brennan, T., Pantis, S., Persad, A. R. L., Cline, C. C., Buch, V., Parvizi, J., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.20.692681 · Cited by 1 · see citing works
Pre-Sleep Anxiety: Mechanisms and Therapeutic Approaches in Clinical Practice.
Song, S., Irfan, M., Tahir, Z., Garrison, K. A., & Ziskind, S. (2026) · Current Sleep Medicine Reports · doi:10.1007/s40675-026-00370-2
Attentional Biases in Health Decision Making
Jeni, A., & Reddy, K. J. (2024) · Advances in finance, accounting, and economics book series · doi:10.4018/979-8-3693-6055-2.ch001
Dissociative Disorders: Neuroimaging as a New Narrative
Modesti, M. N., & CASALE, A. D. (2024) · Springer eBooks · doi:10.1007/978-3-031-32035-4_47-1
Brain network communication in remission: a comparative study of bipolar and unipolar depression
Liu, H., Xia, Y. X., Hua, L., Sun, H., Yan, R., Yao, Z., & Qin, J. (2025) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2025.03.057
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Self-citationThe impact of reciprocal links on learning performance of critical neural networks
Chen, X., Tao, L., Wang, S.-J., & Huang, Z. (2025) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2025.130784
Self-citationSerhiyenko, V. A. (2025) · INTERNATIONAL JOURNAL OF ENDOCRINOLOGY (Ukraine) · doi:10.22141/2224-0721.21.4.2025.1563
Acevedo-Polo, J., Siebert, E. R., Khan, J., Rough, M. I., Voll, R. J., Chavan, L. N., Goodman, M. M., Nye, J. A., Nader, M. A., & Sánchez, M. M. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.18.700208
Huang, M.-H., Yeh, Y.-C., Yen, C., Ke, C. K., Jian, C.-R., Lin, C.-W., & Lin, I. (2026) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2026.112157
Chen, X., Tang, H., Liu, J., Chen, H., Liu, P., Lu, F., & Zhou, J. (2026) · BMC Psychiatry · doi:10.1186/s12888-026-07881-w
“Although findings have been inconsistent, alterations in FC between the AMYG and PFC have been associated with antidepressant treatment [49–51].”
A Network Analysis of Risk and Protective Factors in Adolescent Affective Disorders
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Neurobiological links between Alzheimer’s disease and reward system dysfunction
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- Authors
- Sun, S., Yu, H., Yu, R., & Wang, S.
- Affiliations
- Tohoku University (JP)
- University of California, Santa Barbara (US)
- Hong Kong Baptist University (HK)
- Washington University in St. Louis (US)
- Corresponding author
- Sun, Sai
- Wang, Shuo
- Venue
- Translational Psychiatry
- Published
- 2023-10-28
- Volume
- 13
- Issue
- 1
- Pages
- 334-334
- ISSN
- 2158-3188 (ISSN-L)
- PMC
- PMC10613296
- OpenAlex
- W4388001312
- Cited by
- 69
- References
- 97
- Citations by year
- 2026: 29 · 2025: 26 · 2024: 9 · 2023: 5
- FWCI
- 10.33
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Translational Psychiatry (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- PubMed Central (submittedVersion)
- Digital Commons@Becker (Washington University School of Medicine) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Science Foundation (2114644, 1945230)
- National Institutes of Health
- Japan Society for the Promotion of Science (22K15626, 56045092, 56045090)
- National Institute of Mental Health (R01MH129426)
- Air Force Office of Scientific Research (FA9550-, -21-1-, FA9550-21-1-0088)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- facial emotion recognition, amygdala, dorsomedial prefrontal cortex, ventromedial prefrontal cortex, effective connectivity, bottom-up processing, top-down control, EEG coherence, single-unit recording, neuropsychiatric patients
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