Lucas Remoaldo Trambaiolli, Ph.D.

2018- McLean Hospital - Harvard Medical School 
affective neuroscience, neuroimaging, brain-computer interfaces
"Lucas Trambaiolli"
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Andre M. Cravo grad student 2012-2018
Joao Ricardo Sato grad student 2012-2018
Suzanne Haber post-doc 2018-
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Trambaiolli LR, Cassani R, Biazoli CE, et al. (2022) Multimodal resting-state connectivity predicts affective neurofeedback performance. Frontiers in Human Neuroscience. 16: 977776
Trambaiolli LR, Peng X, Lehman JF, et al. (2022) Anatomical and functional connectivity support the existence of a salience network node within the caudal ventrolateral prefrontal cortex. Elife. 11
Jezzini A, Bromberg-Martin ES, Trambaiolli LR, et al. (2021) A prefrontal network integrates preferences for advance information about uncertain rewards and punishments. Neuron
Moreno JG, Biazoli CE, Baptista AF, et al. (2021) Closed-loop neurostimulation for affective symptoms and disorders: an overview. Biological Psychology. 108081
Trambaiolli LR, Tossato J, Cravo AM, et al. (2021) Subject-independent decoding of affective states using functional near-infrared spectroscopy. Plos One. 16: e0244840
Trambaiolli LR, Biazoli CE. (2020) Resting-state global EEG connectivity predicts depression and anxiety severity. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2020: 3707-3710
Trambaiolli LR, Biazoli CE, Cravo AM, et al. (2018) Functional near-infrared spectroscopy-based affective neurofeedback: feedback effect, illiteracy phenomena, and whole-connectivity profiles. Neurophotonics. 5: 035009
Trambaiolli LR, Biazoli CE, Cravo AM, et al. (2018) Predicting affective valence using cortical hemodynamic signals. Scientific Reports. 8: 5406
Trambaiolli LR, Spolaôr N, Lorena AC, et al. (2017) Feature selection before EEG classification supports the diagnosis of Alzheimer's disease. Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology. 128: 2058-2067
Trambaiolli LR, Biazoli CE, Balardin JB, et al. (2017) The relevance of feature selection methods to the classification of obsessive-compulsive disorder based on volumetric measures. Journal of Affective Disorders. 222: 49-56
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