Publications

Doctoral Dissertation:

Jangraw. (2014) “Neural and Ocular Signals Evoked by Visual Targets in Naturalistic Environments.” ProQuest, Columbia, pdf

Journal Papers and Full-Length Conference Articles:

Jangraw et al. (2018) “A Functional Connectivity-Based Neuromarker of Sustained Attention Generalizes to Predict Recall in a Reading Task.”
NeuroImage 166: 99-109. doi pdf
Jangraw et al. (2014) “NEDE: An Open-Source Scripting Suite for Developing Experiments in 3D Virtual 2014 Environments.”
Journal of neuroscience methods 235: 245-251. doi pdf
Jangraw et al. (2014) “Neurally and Ocularly Informed Graph-Based Models for Searching 3D Environments.”
Journal of Neural Engineering 11: 046003 doi pdf
Co-First Author: Peck, Jangraw et al. (2009) “Reward Modulates Attention Independently of Action Value in Posterior Parietal Cortex.”
Journal of Neuroscience 29(36): 11182 doi pdf
Yu, Huber, Yang, Jangraw et al. (submitted). “Layer-Specific Activation in Human Primary Somatosensory Cortex During Tactile Temporal Prediction Error Processing.”
Proceedings of the National Academy of Sciences.
Keren, Zheng, Jangraw et al. (submitted). “Timing matters: primacy effects of experience on mood revealed using a novel Mood-Machine-Interface.”
Nature Human Behavior. doi
Luber, Jangraw et al. (2020). “Spatio-temporally specific transcranial magnetic stimulation to test the locus of perceptual decision making in the human brain.”
Frontiers in Human Neuroscience 14: 24 January 2020. doi pdf
Finn, Huber, Jangraw et al. (2019) “Layer-dependent activity in human prefrontal cortex during working memory.”
Nature Neuroscience 22(10): 1687-1695. doi pdf
Yu, Huber, Yang, Jangraw et al. (2019) “Layer-Specificity in Sensory Input and Prediction in the Human Primary Somatosensory Cortex.”
Science Advances 5(5): eaav9053. doi pdf
Huber et al. (2018) “Ultra-High Resolution Blood Volume fMRI and BOLD fMRI in Humans at 9.4 T: Capabilities and Challenges.”
NeuroImage 178: 769-779. doi pdf
Shih, Jangraw et al. (2018 – arXiv only) “Towards personalized human AI interaction – adapting the behavior of AI agents using neural signatures of subjective interest.” arXiv
Marathe et al. (2018). “The Privileged Sensing Framework: A Principled Approach to Improved Human-Autonomy Integration.”
Theoretical Issues in Ergonomic Science 19(3): 283-320. doi pdf
Huber, Handwerker, Jangraw et al. (2017). “High-resolution CBV-fMRI allows mapping of laminar activity and connectivity of cortical input and output in human M1.”
Neuron 96(6): 1253-1263. doi pdf
Saproo, Shih, Jangraw, and Sajda. (2016) “Neural Mechanisms Underlying Catastrophic Failure In Human-Machine Interaction During Aerial Navigation.”
Journal of Neural Engineering. doi pdf
Gonzalez-Castillo et al. (2016) “Evaluation Of Me-Ica Denoising For Task Based fMRI Studies: Block Designs, Rapid Event Related Designs and Cardiac-Gated fMRI.”
NeuroImage 141: 452-468. doi pdf
Saproo et al. (2016) “Cortically-Coupled Computing: A New Paradigm for Synergistic Human-Machine Interaction.”
Computer 49(9): 60-68. doi pdf
Kyle, Jangraw et al. (2016) “Bioinstrumentation: A Project-Based Learning Course.”
IEEE Trans. on Education. doi pdf
Foley, Jangraw et al. (2014) “Novelty Enhances Visual Salience Independently of Reward in the Parietal Lobe.”
The Journal of Neuroscience, 4 June 2014, 34(23):7947-7957 doi pdf
Pohlmeyer, Wang, Jangraw et al. (2011) “Closing the loop in Cortically-Coupled Computer Vision: a BCI for Searching Image Databases.”
Journal of Neuroengineering 8: 036025 doi pdf
Pohlmeyer, Jangraw et al. (2010) “Combining Computer and Human Vision into a BCI: Can the Whole Be Greater Than the Sum of Its Parts?”
Invited Paper, 32nd Annual IEEE EMBS Conference. doi pdf
Franz et al. (2007) “Evidence of Cascaded Emission in a Dual-Wavelength Quantum Cascade Laser.”
Applied Physics Letters 90: 091104 doi pdf

Conference Podium Presentations:

Jangraw et al. (2018) “Functional Connectivity-Based Predictor of Reading Recall Generalizes to Multi-Task Data.”
Human Brain Mapping Annual Meeting; Singapore.
Jangraw et al. (2017). “Functional Connectivity-Based Neuromarker Outperforms Gaze, Pupillary, and fMRI Activation-Based Markers in Predicting Reading Comprehension.”
Society for Neuroscience Annual Meeting; Washington, DC.
Jangraw et al. (2017) “Functional Connectivity-Based Predictors of Multi-Task Behavioral Performance.”
Human Brain Mapping Annual Meeting; Vancouver, Canada.
Jangraw et al. (2016) “BOLD Functional Connectivity Features Outperform Magnitude Features in Classifying Attention to, But Not Presence Of, Distracting Speech During Reading.”
3rd Whistler Scientific Workshop on Brain Functional Organization, Connectivity, and Behavior; Whistler, BC, Canada.
Jangraw and Sajda. (2013) “Feature Selection for Gaze, Pupillary, and EEG Signals Evoked in a 3D Environment.”
6th Workshop on Eye Gaze in Intelligent Human Machine Interaction: Gaze in Multimodal Interaction at ACM ICMI 2013, Sydney, Australia. pdf
Finn, Huber, Jangraw et al. “Layer-Dependent activity in Human Prefrontal Cortex During Working Memory.”
Human Brain Mapping Annual Meeting; Rome, Italy.
Yu, Huber, Chai, Jangraw et al. (2019) “Increased Activity in Superficial and Deep Layers of Human S1 for prediction error.”
International Society for Magnetic Resonance in Medicine; Montreal, QC, Canada.
Finn, Huber, Jangraw et al. (2018) “High-resolution fMRI Reveals Layer-Specific Activity in Human Prefrontal Cortex During Working Memory.”
Society for Neuroscience Annual Meeting; San Diego, CA.
Huber et al. (2018) “Functional Mapping of Body Part Representations across Layers and Columns in Humans.”
International Society for Magnetic Resonance in Medicine; Paris, France.
Huber et al. (2018) “Depth-Dependent Functional Mapping of Mental Prediction in Human Somatosensory Cortex.”
International Society for Magnetic Resonance in Medicine; Paris, France.
Huber, Jangraw et al. (2017) “Simple Approach to Improve Time Series fMRI Stability: STAbility-Weighted Rf-Coil Combination (STARC).”
International Society for Magnetic Resonance in Medicine; Honolulu, Hawaii.
Huber, Handwerker, Hall, Jangraw et al. (2017) “Cortical Depth-Dependent fMRI: Heterogeneity Across Tasks, Across Participants, Across Days and Along the Cortical Ribbon.”
International Society for Magnetic Resonance in Medicine; Honolulu, Hawaii.
Huber, Handwerker, Gonzalez-Castillo, Jangraw et al. (2016) “Method to Measure Effective Connectivity with Layer-Dependent Resting-State Blood Volume fMRI in Humans.”
Human Brain Mapping Annual Meeting; Geneva, Switzerland.
Huber, Handwerker, Gonzalez-Castillo, Jangraw et al. (2016) “Effective Connectivity Measured with Layer-Dependent Resting-State Blood Volume fMRI in Humans.”
International Society for Magnetic Resonance in Medicine; Singapore.
Huber, Handwerker, Gonzalez-Castillo, Jangraw et al. (2016) “Directional Connectivity Measured with Layer-Dependent fMRI in Human Sensory-Motor System.
3rd Whistler Scientific Workshop on Brain Functional Organization, Connectivity, and Behavior; Whistler, BC, Canada.
Bouchard, Downs, Jangraw et al. (2013) “A Hands-On Course Teaching Bioinstrumentation through the Design and Construction of a Benchtop Cardiac Pacemaker.”
EMBC, Osaka, Japan. short paper (pdf)
Pohlmeyer, Jangraw et al. (2010) “Combining Computer and Human Vision into a BCI: Can the Whole Be Greater Than the Sum of Its Parts?”
32^nd Annual IEEE EMBS Conference; Buenos Aires, Argentina

Conference Poster Presentations:

Jangraw et al. (2020) “A Python Tool for Assessing Experimental Timing Efficiency and Sensitivity.”
Human Brain Mapping Annual Meeting; Not attended due to COVID-19 Pandemic.
Jangraw et al. (2020) “Real-Time Computer Vision Feedback of Facial Expression Valence to Investigate Flat Affect in Adolescent Major Depressive Disorder.”
Society of Biological Psychiatry Annual Meeting; Canceled due to COVID-19 Pandemic.
Jangraw et al. (2019) “Inter-Subject Correlation During Long Narratives Uniquely Reveals fMRI Correlates of Reading Ability.”
Human Brain Mapping Annual Meeting; Rome, Italy. poster (pdf)
Jangraw et al. (2017) “Functional Connectivity-Based Predictors of Naturalistic Reading Comprehension.”
Human Brain Mapping Annual Meeting; Vancouver, Canada. poster (pdf)
Jangraw et al. (2016) “fMRI Connectivity Outperforms Magnitude in Classifying Attention to Distracting Speech While Reading.”
Human Brain Mapping Annual Meeting; Geneva, Switzerland. poster (pdf)
Jangraw et al. (2016) “Multi-echo fMRI enhances reliability of brain-wide BOLD responses to a naturalistic movie.”
Society for Neuroscience Annual Meeting, Chicago, Illinois. poster (pdf)
Jangraw et al. (2014) “Neural and Ocular Imaging in Naturalistic Scenarios.”
EMBS BRAIN Grand Challenges Conference, Washington, District of Columbia. poster (pdf)
Jangraw and Sajda. (2012) “Interactions of Working Memory and Visual Perception in Saccade-Locked EEG.”
Society for Neuroscience Annual Meeting, New Orleans, Louisiana. poster (pdf)
Jangraw and Sajda (2012). “Constructing Mutually-Derived Situational Awareness via EEG-Informed Graph-Based Transductive Inference.”
IEEE Workshop on Brain-Machine-Body Interfaces (EMBC ‘12), San Diego, California. poster (pdf)
Jangraw and Sajda. (2011) “EEG Signatures of Target Detection in an Immersive 3-D Environment.”
Human Brain Mapping Annual Meeting, Quebec City, Canada. poster (pdf)
Jangraw and Sajda. (2011) “A 3-D Immersive Environment for Characterizing EEG Signatures of Target Detection.”
5th International IEEE/EMBS Conference on Neural Eng., Cancún, Mexico. abstract (pdf) poster (pdf)
Keren, Jangraw et al. (2020) “Resting-State Dysphoria.” Society of Biological Psychiatry Annual Meeting; Canceled due to COVID-19 Pandemic.
O’Callaghan et al. (2019) “Reward-Action Choice Task (ReACT): The Measurement of Effort Expenditure for Rewards in Adolescents.”
Society of Biological Psychiatry Annual Meeting, Chicago, Illinois.
Molfese et al. (2019) “Impact of Sleep Restriction and Simulated Weightlessness on Speech Perception in Adults: An ERP Study.”
Human Brain Mapping Annual Meeting; Rome, Italy.
Topolski, Jangraw et al. (2017) “fMRI Functional Connectivity is Differentially Associated with Performance Measures in Multi-Task Study.”
Human Brain Mapping Annual Meeting; Vancouver, Canada.
Hilbig, Appelbaum, Jangraw et al. (2017) “TMS Selectively Modulates Cortical Networks Underlying Perceptual Decision Making.”
Human Brain Mapping Annual Meeting; Vancouver, Canada.
Huber, Handwerker, Hall, Jangraw et al. (2017) “Cortical Depth-Dependent fMRI Signal Can Classify Sensory Motor Tasks.”
Human Brain Mapping Annual Meeting; Vancouver, Canada.
Hall et al. (2017) “Evaluation of Physiological Noise Cleaning Methods at High-Resolution Across Cortical Depth.”
International Society for Magnetic Resonance in Medicine; Honolulu, Hawaii.
Shih, Jangraw et al. (2017) “Deep Reinforcement Learning using Neurophysiological Signatures of Interest.”
Conference on Human-Robot Interaction (HRI2017); Vienna, Austria.
Huber, Handwerker, Hall, Gonzalez-Castillo, Jangraw et al. (2016) “Mapping Brain Areas Based on their Feed-Forward or Feed-Back Driven Resting-State Activity: An Application of Layer-Dependent Resting-State fMRI.”
Fifth Biennial Conference on Resting State and Brain Connectivity; Vienna, Austria.
Gonzalez-Castillo, Panwar, Gaudes, Handwerker, Jangraw et al. (2016) “Multi-echo fMRI for rapid 2016 event related fMRI experiments.”
Human Brain Mapping Annual Meeting; Geneva, Switzerland.
Evans, Jangraw et al. (2015) “Correlations of simultaneously acquired SSVEPs with BOLD fMRI response.”
Human Brain Mapping Annual Meeting. abstract (pdf)
Saproo, Jangraw et al. (2015) “Evoked EEG Signatures Index Cognitive Workload in Human-Machine Interaction.”
Human Brian Mapping Annual Meeting. poster (pdf)
Luber, Jangraw et al. (2013) “Using Transcranial Magnetic Stimulation to Elucidate Interactions Between Top-down and Bottom-up Brain Networks in Visual Discrimination.”
Cognitive Neuroscience Society Annual Meeting, San Francisco, California. poster (pdf)
Kyle, Bouchard, Downs, and Jangraw. (2012) “Biomedical Engineering from Start to Finish: A Project Based Undergraduate Course.”
BMES Annual Meeting, Atlanta, Georgia.
Foley, Peck, Jangraw et al. (2012) “Rapid coding of novelty-induced orienting in the parietal lobe.”
Vision Sciences Society Meeting.
Gottlieb, Peck, Jangraw et al. (2010) “How Reward Shapes Attention and the Search for Information.”
Vision Sciences Society Meeting.

Patents:

Sajda et al. “Systems and Methods for Deep Reinforcement Learning Using a Brain-Artificial Intelligence Interface.” (Filed February 24, 2017)
– U.S. Patent Application 62/463,276. link
Rapid Image Annotation Via Brain State Decoding and Visual Pattern Mining (issued March 2014, renewed May 2017) 2014 link 2017 link
– Brain-Computer Interface for image or object retrieval in large databases or environments
– 2014: U.S. Patent 8,671,069
– 2017: U.S. Patent 9,665,824

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