Harvard Catalyst Profiles

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Lucas Remoaldo Trambaiolli, Ph.D.


Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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  1. Trambaiolli LR, Cassani R, Biazoli CE, Cravo AM, Sato JR, Falk TH. Multimodal resting-state connectivity predicts affective neurofeedback performance. Front Hum Neurosci. 2022; 16:977776. PMID: 36158618; PMCID: PMC9493361.
  2. Trambaiolli LR, Peng X, Lehman JF, Linn G, Russ BE, Schroeder CE, Liu H, Haber SN. Anatomical and functional connectivity support the existence of a salience network node within the caudal ventrolateral prefrontal cortex. Elife. 2022 05 05; 11. PMID: 35510840; PMCID: PMC9106333.
    Citations:    Fields:    Translation:Animals
  3. Jezzini A, Bromberg-Martin ES, Trambaiolli LR, Haber SN, Monosov IE. A prefrontal network integrates preferences for advance information about uncertain rewards and punishments. Neuron. 2021 07 21; 109(14):2339-2352.e5. PMID: 34118190; PMCID: PMC8298287.
    Citations: 5     Fields:    Translation:AnimalsCells
  4. Trambaiolli LR, Cassani R, Mehler DMA, Falk TH. Neurofeedback and the Aging Brain: A Systematic Review of Training Protocols for Dementia and Mild Cognitive Impairment. Front Aging Neurosci. 2021; 13:682683. PMID: 34177558.
    Citations: 1     
  5. Guerrero Moreno J, Biazoli CE, Baptista AF, Trambaiolli LR. Closed-loop neurostimulation for affective symptoms and disorders: An overview. Biol Psychol. 2021 04; 161:108081. PMID: 33757806.
    Citations: 1     Fields:    Translation:Humans
  6. Trambaiolli LR, Kohl SH, Linden DEJ, Mehler DMA. Neurofeedback training in major depressive disorder: A systematic review of clinical efficacy, study quality and reporting practices. Neurosci Biobehav Rev. 2021 06; 125:33-56. PMID: 33587957.
    Citations: 2     Fields:    Translation:Humans
  7. Trambaiolli LR, Tossato J, Cravo AM, Biazoli CE, Sato JR. Subject-independent decoding of affective states using functional near-infrared spectroscopy. PLoS One. 2021; 16(1):e0244840. PMID: 33411817.
    Citations: 1     Fields:    Translation:Humans
  8. Trambaiolli LR, Biazoli CE. Resting-state global EEG connectivity predicts depression and anxiety severity. Annu Int Conf IEEE Eng Med Biol Soc. 2020 07; 2020:3707-3710. PMID: 33018806.
    Citations: 2     Fields:    Translation:Humans
  9. Trambaiolli LR, Cassani R, Falk TH. EEG spectro-temporal amplitude modulation as a measurement of cortical hemodynamics: an EEG-fNIRS study. Annu Int Conf IEEE Eng Med Biol Soc. 2020 07; 2020:3481-3484. PMID: 33018753.
    Citations: 1     Fields:    Translation:Humans
  10. Trambaiolli LR, Biazoli CE, Cravo AM, Falk TH, Sato JR. Functional near-infrared spectroscopy-based affective neurofeedback: feedback effect, illiteracy phenomena, and whole-connectivity profiles. Neurophotonics. 2018 Jul; 5(3):035009. PMID: 30689679; PMCID: PMC6156400.
    Citations: 6     
  11. Trambaiolli LR, Biazoli CE, Cravo AM, Sato JR. Predicting affective valence using cortical hemodynamic signals. Sci Rep. 2018 03 29; 8(1):5406. PMID: 29599437.
    Citations: 4     Fields:    Translation:Humans
  12. Trambaiolli LR, Spolaôr N, Lorena AC, Anghinah R, Sato JR. Feature selection before EEG classification supports the diagnosis of Alzheimer's disease. Clin Neurophysiol. 2017 10; 128(10):2058-2067. PMID: 28866471.
    Citations: 6     Fields:    Translation:Humans
  13. Trambaiolli LR, Biazoli CE, Balardin JB, Hoexter MQ, Sato JR. The relevance of feature selection methods to the classification of obsessive-compulsive disorder based on volumetric measures. J Affect Disord. 2017 11; 222:49-56. PMID: 28672179.
    Citations: 3     Fields:    Translation:Humans
  14. Balardin JB, Zimeo Morais GA, Furucho RA, Trambaiolli L, Vanzella P, Biazoli C, Sato JR. Imaging Brain Function with Functional Near-Infrared Spectroscopy in Unconstrained Environments. Front Hum Neurosci. 2017; 11:258. PMID: 28567011; PMCID: PMC5434677.
    Citations: 50     
  15. Trambaiolli LR, Lorena AC, Fraga FJ, Kanda PA, Anghinah R, Nitrini R. Improving Alzheimer's disease diagnosis with machine learning techniques. Clin EEG Neurosci. 2011 Jul; 42(3):160-5. PMID: 21870467.
    Citations: 18     Fields:    Translation:Humans
  16. Trambaiolli LR, Lorena AC, Fraga FJ, Kanda PA, Nitrini R, Anghinah R. Does EEG montage influence Alzheimer's disease electroclinic diagnosis? Int J Alzheimers Dis. 2011; 2011:761891. PMID: 21629711; PMCID: PMC3100682.
    Citations: 3     
  17. Trambaiolli LR, Falk TH, Fraga FJ, Anghinah R, Lorena AC. EEG spectro-temporal modulation energy: a new feature for automated diagnosis of Alzheimer's disease. Annu Int Conf IEEE Eng Med Biol Soc. 2011; 2011:3828-31. PMID: 22255174.
    Citations: 7     Fields:    Translation:Humans
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.