Student Interests

So Yeon Chun

Zaki, J., & Ochsner, K. N. (2012). The neuroscience of empathy: Progress, pitfalls and promise. Nature Neuroscience, 15(5), 675. DOI: https://doi.org/10.1038/nn.3085

• mentalizing
• neural resonance
• anterior insula)

Gabrieli, J. D. (2009). Dyslexia: a new synergy between education and cognitive neuroscience. Science, 325(5938), 280-283. DOI: 10.1126/science.1171999

• dyslexia
• diffusion tensor imaging (DTI)
• magnocelluar pathway

Young In Chung

Kroemer, N. B., & Small, D. M. (2016). Fuel not fun: Reinterpreting attenuated brain responses to reward in obesity. Physiology & Behavior, 162, 37-45. doi: https://doi.org/10.1016/j.physbeh.2016.04.020

MacInnes, J. J., Dickerson, K. C., Chen, N. K., & Adcock, R. A. (2016). Cognitive neurostimulation: learning to volitionally sustain ventral tegmental area activation. Neuron, 89(6), 1331-1342. doi: https://doi.org/10.1016/j.neuron.2016.02.002

• How to interpret striatal responses: reward-related learning vs. reward sensitivity
• dopamine signaling; dopaminergic pathways; dopamine receptors
• hippocampal-based learning vs. striatal, feedback-based learning

Leslie Ho

Noble, K. G., Tottenham, N., & Casey, B. J. (2005). Neuroscience perspectives on disparities in school readiness and cognitive achievement. The Future of Children, 71-89. doi:https://doi.org/10.1353/foc.2005.0006

Blair, C. (2002). School readiness: Integrating cognition and emotion in a neurobiological conceptualization of children’s functioning at school entry. American Psychologist, 57(2), 111. doi: 10.1037//0003-066x.57.2.111

• Neurobiological development over time, especially in early childhood
• How environmental context impacts neurobiological development
• How physiological regulation, attention regulation, and brain development interact to produce different kinds of behaviors

Joseph Kilcullen

Arslan, S., Ktena, S.I., Makropoulos, A., Robinson, E.C., Rueckert, D., & Parisot, S. (2018). Human brain mapping; A systematic comparison of parcellation methods for the human cerebral cortex. NeuroImage, 170, 5-30. https://doi.org/10.1016/j.neuroimage.2017.04.014

Narayana, S., Charles, C., Collins, K., Tsao, J.W., Stanfill, A.G., & Baughman, B. (2019). Neuroimaging and neuropsychological studies in sports-related concussions in adolescents: Current state and future directions. Frontiers in Neurology, 10, 1-10. doi: 10.3389/fneur.2019.00538

• Mapping the neural network of the human brain
• Limitations and future directions for neuroimaging
• Why nerve damage (i.e., paralysis) is irreparable

Rachel Level

Guo, C., Moses-Kolko, E., Phillips, M., Swain, J.E., & Hipwell, A.E. (2018). Severity of anxiety moderates the association between neural circuits and maternal behaviors in the postpartum period. Cognitive, Affective & Behavioral Neuroscience, 18(3), pp. 426-436. DOI:10.3758/s13415-017-0516-x

Shir, A., Hendler, T., & Feldman, R. (2011). Specifying the neurobiological basis of human attachment: Brain, hormones, and behavior in synchronous and intrusive mothers. Neuropsychopharmacology, 36, pp. 2603-2615. doi:10.1038/npp.2011.172

• Functional communication between brain regions – what is it and how does it relate to behavior?
• Translation of neural imaging (fMRI for example) into statistical data
• Considerations for brain development in neuropsychological literature – How much of what we “know” about the adult brain has been replicated with infant and children?

Jose Maldonado

Yzer, M. (2012). The integrative model of behavioral prediction as a tool for designing health messages. Health communication message design: Theory and practice, 21-40.

• intention as a construct

Gu, S., Wang, F., Cao, C., Wu, E., Tang, Y.-Y., & Huang, J. H. (2019). An Integrative Way for Studying Neural Basis of Basic Emotions With fMRI. Frontiers in Neuroscience, 13. doi:10.3389/fnins.2019.00628

• “basic” emotions and their neural and psychological basis

Jacob Martin

Zaehringer, J., Ende, G., Santangelo, P. S., Kleindienst, N., Ruf, M., Bertsch, K., … Paret, C. (2019, June 26). Improved emotion regulation after neurofeedback. A single-arm trial in patients with borderline personality disorder. https://doi.org/10.31234/osf.io/wemfq

• neurometric analysis
• coherence
• asymmetry

Surmeli, T., & Ertem, A. (2009). QEEG guided neurofeedback therapy in personality disorders: 13 case studies. Clinical EEG and Neuroscience, 40(1), 5-10. https://doi.org/10.1177/155005940904000107

• BOLD signal/amplitude
• AUC
• down-regulate

Chelsea Mayo

Bauer, C. C. C., Caballero, C., Scherer, E., West, M. R., Mrazek, M. D., Phillips, D. T., . . . Gabrieli, J. D. E. (2019). Mindfulness training reduces stress and amygdala reactivity to fearful faces in middle-school children. Behavioral Neuroscience, doi: 10.1037/bne0000337

Hoof, M. J., Riem, M., Garrett, A., Pannekoek, N., Wee, N. D., Ijzendoorn, M., & Vermeiren, R. (2019). Unresolved‐Disorganized Attachment Associated With Smaller Hippocampus and Increased Functional Connectivity Beyond Psychopathology. Journal of Traumatic Stress. doi: 10.1002/jts.22432

• ventromedial prefrontal cortex (VMPFC) and the amygdala-VMPFC circuit
• gray matter volume (GMV)/hippocampal volume
• resting state functional connectivity (RSFC)

Hannah Merseal

Donnay, G. F., Rankin, S. K., Lopez-Gonzalez, M., Jiradejvong, P., & Limb, C. J. (2014). Neural Substrates of Interactive Musical Improvisation: An fMRI Study of ‘Trading Fours’ in Jazz. PLoS ONE, 9(2), 1–10. doi: 10.1371/journal.pone.0088665

• Scanning parameters and functional analysis procedures.

Berkowitz, A. L., & Ansari, D. (2008). Generation of novel motor sequences: The neural correlates of musical improvisation. NeuroImage, 41(2), 535–543. doi: 10.1016/j.neuroimage.2008.02.028

• Data cleaning best practices

Haruka Notsu

Boeker, H., & Northoff, G. (2018). Psychotherapy Research in the Context of Neuroscience. In Neuropsychodynamic Psychiatry (pp. 531-562). Springer, Cham. https://doi.org/10.1007/978-3-319-75112-2_27

Salone, A., Di Giacinto, A., Lai, C., De Berardis, D., Iasevoli, F., Fornaro, M., … & Giannantonio, M. D. (2016). The interface between neuroscience and neuro-psychoanalysis: focus on brain connectivity. Frontiers in Human Neuroscience, 10, 20. https://doi.org/10.3389/fnhum.2016.00020

• VTA- NAcc- VP-amygdala
• Superior Temporal Sulcus
• ventral anterior cingulate (valence specific)

Alexandra Roule

Van Den Heuvel, M. P., & Pol, H. E. H. (2010). Exploring the brain network: A review on resting-state fMRI functional connectivity. European Neuropsychopharmacology, 20(8), 519-534. doi: 10.1016/j.euroneuro.2010.03.008

Li, Y., Grabell, A. S., Wakschlag, L. S., Huppert, T. J., & Perlman, S. B. (2017). The neural substrates of cognitive flexibility are related to individual differences in preschool irritability: A fNIRS investigation. Developmental Cognitive Neuroscience, 25, 138-144. doi: 10.1016/j.dcn.2016.07.002

• functional connectivity
• functional Near Infrared Spectroscopy (fNIRS)
• resting-state (versus task-based) paradigms.

Tawni Stoop

Pape, L. E., Cohn, M. D., Caan, M. W. A., van Wingen, G., van den Brink, W., Veltman, D. J., & Popma, A. (2015). Psychopathic traits in adolescents are associated with higher structural connectivity. Psychiatry Research: Neuroimaging, 233(3), 474-480. https://doi.org/10.1016/j.pscychresns.2015.07.023

• Diffusion Tensor Imaging (DTI), Fractional anisotropy (FA), radial diffusivity (RD), and axial diffusivity (AD).

Whittle, S., Liu, K., Bastin, C., Harrison, B. J., & Davey, C. G. (2016). Neurodevelopmental correlates of proneness to guilt and shame in adolescence and early adulthood. Developmental Cognitive Neuroscience, 19, 51-57. https://doi.org/10.1016/j.dcn.2016.02.001

• Region of Interest (ROI) analyses

Tyler Warner

Oberauer, K. (2013). The focus of attention in working memory—from metaphors to mechanisms. Frontiers in Human Neuroscience, 7, 673. doi: 10.3389/fnhum.2013.00673.

Cavanagh, J. F. & Shackman, A. J. (2015). Frontal midline theta reflects anxiety and cognitive control: Meta-analytic evidence. Journal of Physiology-Paris, 109, 3-15. doi: 10.1016/j.jphysparis.2014.04.003.

• Cognitive control (or a more mechanistic understanding of other cognitive processes that are often homunculized)
• Networks, especially the default mode network
• ERPs—what are they, how do analyze them, and what can/can’t we conclude from them.

Holly Zaharchuk

Bastiaansen, M., & Hagoort, P. (2015). Frequency-based segregation of syntactic and semantic unification during online sentence level language comprehension. Journal of Cognitive Neuroscience, 27(11), 2095-2107. doi:10.1162/jocn_a_00829

• time-frequency analysis in EEG
• neural synchronization
• semantic vs. syntactic processing.

Di Liberto, G. M., O’Sullivan, J. A., & Lalor, E. C. (2015). Low-frequency cortical entrainment to speech reflects phoneme-level processing. Current Biology, 25(19), 2457-2465. doi:10.1016/j.cub.2015.08.030

• cortical entrainment
• categorical phoneme perception
• lack of invariance problem in speech perception.