Poster Session 1
Wednesday, October 19
Presentation ID: W01
Authors: Erik Roecher, Arezoo Taebi, Klaus Mathiak, Jana Zweerings
Abstract: Machine Learning Approaches for Resting-State Neurofeedback MR Images in Clinical Populations
Presentation ID: W02
Authors: Arezoo Taebi, Linda Orth, Klaus Mathiak, Jana Zweerings
Abstract: Mechanistic and clinical effects of the regulation of addiction-specific networks via real-time fMRI neurofeedback in heavy smokers
Presentation ID: W03
Authors: Bruno Direito, Alexandre Sayal, Vladimir L. Cherkassky, Miguel Castelo-Branco, Marcel Just
Abstract: Improving emotional control in autism using neurofeedback training
Presentation ID: W04
Authors: T. Dorina Papageorgiou, Anthony Allam, Duong Huynh, Rasoul Hekmati, Emmanouil Froudarakis, Alastair Thompson
Abstract: Dynamic causal modeling elucidates that individualized real-time fMRI neurofeedback enhances learning to modulate sensorimotor networks targeted towards the alleviation of neuropathic pain
Presentation ID: W05
Authors: T. Dorina Papageorgiou, Anthony Allam, Duong Huynh, Rasoul Hekmati, Emmanouil Froudarakis, Alastair Thompson
Abstract: Case study: increased speech intelligibility and amelioration of oral neuropathic pain via individualized real-time fMRI neurofeedback
Presentation ID: W06
Authors: Pamela González Méndez, Julio Rodino Climent, Jeffrey A. Stanley, Ranganatha Sitaram
Abstract: Real-time fMRI neurofeedback training as a neurorehabilitation approach on depressive disorders: A systematic review of randomized control trials
Presentation ID: W07
Author: Jacqueline Beltrán, Emerald Obie, Grace Butler, Laurel Morris
Abstract: Exploring the effects of real-time biofeedback with 7-Tesla MRI for the treatment of depression
Presentation ID: W08
Authors: Jaime Pereira, Andreas Ray, Mohit Rana, Claudio Silva, Cesar Salinas, Francisco Zamorano, Martin Irani, Ranganatha Sitaram, Sergio Ruiz
Abstract: A real-time fMRI Neurofeedback system for the clinical alleviation of depression based on a subject-independent classification of brain states
Presentation ID: W09
Authors: Aki Tsuchiyagaito, Namik Kirlic, Xiaoqian Yu, Stella Sanchez, Jennifer Stewart, Robin Aupperle, Kate Fitzgerald, Martin Paulus, Masaya Misaki, Salvador Guinjoan
Abstract: Optimization of Mental Strategies in Connectivity-Based fMRI Neurofeedback Targeting Repetitive Negative Thinking in Depression
Presentation ID: W10
Authors: Franziska Klein, Michael Lührs, Stefan Debener, Karsten Witt
Abstract: fNIRS-guided Motor Imagery Neurofeedback to Alleviate Motor Symptoms in Parkinson’s Disease: A Proof-of-Concept Study
Presentation ID: W11
Authors: Oliver Bichsel, Lennart Stieglitz, Markus Oertel, Christian Baumann, Lukas Imbach, Roger Gassert
Abstract: A deep brain-computer interface enables Parkinson patients to reduce pathological deep brain oscillations and bradykinesia through neurofeedback
Presentation ID: W12
Authors: Halim Ibrahim Baqapuri, Michael Luehrs, Rainer Goebel, David Linden
Abstract: Motor-Imagery pilot study: Identifying viable self-regulation neurofeedback targets for Parkinson’s patients
Presentation ID: W13
Authors: Mariela Rance, Zhiying Zhao, Brian Zaboski, Stephen Kichuk, Emma Romaker, William Koller, Christopher Walsh, Cheyenne Harris-Starling, Suzanne Wasylink, Thomas Adams, Patricia Gruner, Christopher Pittenger, Michelle Hampson
Abstract: Neurofeedback from the anterior prefrontal cortex for obsessive compulsive disorder: a randomized, double-blind trial
Presentation ID: W14
Authors: Linda Orth, Mikhail Zvyagintsev, Irene Neuner, Pegah Sarkheil
Abstract: Neurofeedback training of frontostriatal circuitry for modification of obsessive-compulsive symptoms in psychiatric disorders
Presentation ID: W15
Authors: Esther Choi, Sarah Fineberg, Miroslava Jindrova, Zhiying Zhao, Michelle Hampson, Chris Paret, Christian Schmahl
Abstract: Amygdala-focused fMRI neurofeedback to augment psychotherapy for Borderline Personality Disorder
Presentation ID: W16
Authors: Carmen Santana-Gonzalez, Sewon Oh, Hoang-Giang Nguyen, Yuan Jia Teoh, Mark Fiecas, Lin Zhang, Karina Quevedo
Abstract: Amygdala Connectivity, Self Processing and Neurofeedback in Adolescents with Varying Degrees of Adversity
Presentation ID: W17
Authors: Guy Gurevitch, Ayelet Or-Borichev, Naomi Fine, Tom Fruchtman-Steinbok, Jackob Nimrod Keynan, Talma Hendler
Abstract: Brain Networks of Success and Failure in Amygdala Self-Neuromodulation
Presentation ID: W18
Authors: Itamar Jalon, Noam Goldway, Jackob Keynan, Lydia Hellrung, Annette Horstmann, Christian Paret, Talma Hendler
Abstract: Different whole brain activation patterns for successful and unsuccessful amygdala down-regulation
Presentation ID: W19
Authors: Masaya Misaki, Aki Tsuchiyagaito1, Namik Kirlic, Salvador Guinjoan, Martin Paulus
Abstract: Can real-time fMRI neurofeedback be a region-focused intervention? - Variabilities of feedback signal correlation and training effects in left amygdala neurofeedback for depressed participants
Presentation ID: W20
Authors: Emma Riley, Scott Barb, Sarah Lazzaro, Gia Canovali, Laurie Compère, Kym Young
Abstract: Linguistic analysis of positive autobiographical memories recalled by individuals with major depressive disorder during real-time fMRI neurofeedback training
Presentation ID: W21
Authors: Jeremy Myslowski, Jonathan Lisinski, Stephen LaConte
Abstract: Mapping and predicting pattern-based DMN neurofeedback
Presentation ID: W22
Authors: Catalina Saini, Carlos Valle, Gabriela Vargas, María Rodríguez, Ignacio Cortinez, Ranganatha Sitaram
Abstract: Detection and Classification of Levels of Consciousness using a Parietal and Frontal EEG-fNIRS Hybrid System during Deep Sedation
Presentation ID: W23
Authors: Ranganatha Sitaram, Caleb Jones Shibu, Sujesh Sreedharan, Arun K.M., Chandrasekharan Kesavadas
Abstract: Explainable artificial intelligence model to predict brain states from fNIRS signals for neurofeedback and BCI applications
Presentation ID: W24
Authors: Anna Vorreuther, Lisa Bastian, Amaia Benitez Andonegui, Danielle Evenblij, Lars Riecke, Michael Lührs, Bettina Sorger
Abstract: Towards an efficient and convenient two-choice fNIRS communication BCI
Presentation ID: W25
Authors: Caroline Pinte, Claire Cury, Pierre Maurel
Abstract: RNN-LSTM neural network for predicting fMRI neurofeedback scores from EEG signals
Presentation ID: W26
Authors: Nitzan Lubianiker, Avigail Lerner, Ayam Greental, Guy Gurevitch, Itamar Jalon, Neomi Singer, Ayelet Or-Borichev, Naomi Fine, Tom Fruchtman-Steinbok, Romy Lorenz, Talma Hendler
Abstract: Quantitative Analysis of the Link Between Mental Strategies and Neurofeedback Regulation Success
Presentation ID: W27
Authors: Clare Shaffer, Jiahe Zhang, Jovi Raya, Francesca Morfini, Randy Auerbach, Clemens Bauer, Susan Whitfield-Gabrieli
Abstract: Baseline Connectivity of Key Self-Reference Nodes Predicts Real-Time Neurofeedback Performance in Adolescents with A History of Affective Disorders
Presentation ID: W28
Authors: Jeff Soldate, Jonathan Lisinski, Stephen LaConte
Abstract: Toward real-time classification of episodic memory encoding
Presentation ID: W29
Authors: Dong-Youl Kim, Mark Orloff, Jeffrey Soldate, Jonathan Lisinski, Stephen LaConte, Brooks King-Casas, Pearl Chiu
Abstract: Can a pre-trained model classify brain regions associated with risky decision-making process for a real-time fMRI neurofeedback?
Presentation ID: W30
Authors: Daniëlle Evenblij, Reebal Rafeh, Amaia Benitez-Andonegui, Deni Kurban, Michael Lührs, Bettina Sorger
Abstract: Towards real-time across-participant classification of 2-s mental tasks in 3-T fMRI
Presentation ID: W31
Authors: Pamela Pindi, Camille Piguet, Yury Koush, Mircea Polosan, Sebastien Gard, Josselin Houenou, Pauline Favre
Abstract: Real-time decoded neurofeedback: a pilot study on emotional regulation processes
Presentation ID: W32
Authors: Junsheng Shi, Kaiyu He, Ming Li, Adam Brown, Alfredo Spagna, Xiaofu He
Abstract: A Decoded EEG Neurofeedback Platform Using Muse2
Presentation ID: W33
Authors: Kyoungsoon Kim, Ethan Oblak, Kathleen Manella, Nicolas Schweighofer, James Sulzer
Abstract: Operant conditioning of monosynaptic spinal reflexes: a simulated environment approach
Presentation ID: W34
Authors: Theo Marins, Eleonora De Filippi, Anira Escrichs, Matthieu Gilson, Jorge Moll, Fernanda Tovar-Moll, Gustavo Deco
Abstract: One session of fMRI-Neurofeedback training on motor imagery modulates whole-brain effective connectivity and dynamical complexity
Presentation ID: W35
Authors: Seitaro Iwama, Takufumi Yanagisawa, Ryotaro Hirose, Junichi Ushiba
Abstract: Real-time scalp electroencephalogram-defined bi-hemispheric motor cortex phase synchrony influences subsequent finger coordination performance in humans
Presentation ID: W36
Authors: Anthony K. Allam, Duong Huynh, Emmanouil Froudarakis, Ankit Patel, Alastair M. Thompson, T. Dorina Papageorgiou
Abstract: Deep learning uncovers medulla oblongata activity essential for tongue sensorimotor control data acquired via individualized real-time fMRI neurofeedback
Presentation ID: W37
Authors: Cherie Marvel, Owen Morgan, Jonathan Lisinski, Michelle Joyce, Stephen LaConte
Abstract: Real-time fMRI neurofeedback improves finger tapping precision: A feasibility study to improve fine motor skills in movement disorders
Presentation ID: W38
Authors: Clemens Bauer, Zhang Jiahe, Clare Shaffer, Francesca Morfini, Nita Akoh, Margaret Niznikiewicz, Aaron Kucyi, Susan Whitfield-Gabrieli
Abstract: Mindful or Mind Full? Ask your participants.
Presentation ID: W39
Authors: Jimin Park, Seounnghun Park, Jisoo Ha, Kyeoung-Gu Lee, Chang-Hwal Im
Abstract: Online Home Appliance Control System for the Elderly Based on SSVEP-Based Brain-Computer Interface
Presentation ID: W40
Authors: Vinai Roopchansingh, Peter Bandettini
Abstract: Cross-platform MRI Scanner State and Event Monitoring