Can supervise: YES
Djebbara, Z, Fich, LB, Petrini, L & Gramann, K 2019, 'Sensorimotor brain dynamics reflect architectural affordances', PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, vol. 116, no. 29, pp. 14769-14778.View/Download from: UTS OPUS or Publisher's site
Anticipating meaningful actions in the environment is an essential function of the brain. Such predictive mechanisms originate from the motor system and allow for inferring actions from environmental affordances, the potential to act within a specific environment. Using architecture, we provide a unique perspective to the abiding debate in cognitive neuroscience and philosophy on whether cognition depends on movement or is decoupled from our physical structure. To investigate cognitive processes associated with architectural affordances, we used a Mobile Brain/Body Imaging approach recording brain activity synchronized to head-mounted virtual reality. Participants perceived and acted upon virtual transitions ranging from non-passable to easily passable. We demonstrate that early sensory brain activity, upon revealing the environment and before actual movement, differed as a function of affordances. Additionally, movement through transitions was preceded by a motor-related negative component also depended on affordances. Our results suggest that potential actions afforded by an environment influence perception.
Ojeda, A, Klug, M, Kreutz-Delgado, K, Gramann, K & Mishra, J 2019, 'A Bayesian Framework for Unifying Data Cleaning, Source Separation and Imaging of Electroencephalographic Signals'.View/Download from: UTS OPUS or Publisher's site
Abstract Electroencephalographic (EEG) source imaging depends upon sophisticated signal processing algorithms for data cleaning, source separation, and localization. Typically, these problems are addressed by independent heuristics, limiting the use of EEG images on a variety of applications. Here, we propose a unifying parametric empirical Bayes framework in which these dissimilar problems can be solved using a single algorithm (PEB+). We use sparsity constraints to adaptively segregate brain sources into maximally independent components with known anatomical support, while minimally overlapping artifactual activity. Of theoretical relevance, we demonstrate the connections between Infomax ICA and our framework. On real data, we show that PEB+ outperforms Infomax for source separation on short time-scales and, unlike the popular ASR algorithm, it can reduce artifacts without significantly distorting clean epochs. Finally, we analyze mobile brain/body imaging data to characterize the brain dynamics supporting heading computation during full-body rotations, replicating the main findings of previous experimental literature.
Abstract Electroencephalography (EEG) is a popular method to monitor brain activity, but it can be difficult to evaluate EEG-based analysis methods because no ground-truth brain activity is available for comparison. Therefore, in order to test and evaluate such methods, researchers often use simulated EEG data instead of actual EEG recordings, ensuring that it is known beforehand which e ects are present in the data. As such, simulated data can be used, among other things, to assess or compare signal processing and machine learn-ing algorithms, to model EEG variabilities, and to design source reconstruction methods. In this paper, we present SEREEGA, short for Simulating Event-Related EEG Activity . SEREEGA is a MATLAB-based open-source toolbox dedicated to the generation of sim-ulated epochs of EEG data. It is modular and extensible, at initial release supporting ve different publicly available head models and capable of simulating multiple different types of signals mimicking brain activity. This paper presents the architecture and general work ow of this toolbox, as well as a simulated data set demonstrating some of its functions. Highlights Simulated EEG data has a known ground truth, which can be used to validate methods. We present a general-purpose open-source toolbox to simulate EEG data. It provides a single framework to simulate many different types of EEG recordings. It is modular, extensible, and already includes a number of head models and signals. It supports noise, oscillations, event-related potentials, connectivity, and more.
Krol, LR, Pawlitzki, J, Lotte, F, Gramann, K & Zander, TO 2018, 'SEREEGA: Simulating event-related EEG activity', JOURNAL OF NEUROSCIENCE METHODS, vol. 309, pp. 13-24.View/Download from: UTS OPUS or Publisher's site
Abstract The use of Navigation Assistance Systems for spatial orienting has become increasingly popular. Such automated navigation support, however, comes with a reduced processing of the surrounding environment and often with a decline of spatial orienting ability. To prevent such deskilling and to support spatial learning, the present study investigated incidental spatial learning by comparing standard navigation instructions with two modified navigation instruction conditions. The first modified instruction condition highlighted landmarks and provided additional redundant information regarding the landmark (contrast condition), while the second highlighted landmarks and included personal relevant information regarding the landmark (personal-reference condition). Participants' spatial knowledge of the previously unknown virtual city was tested three weeks later. Behavioral and electroencephalographic (EEG) data demonstrated enhanced memory performance for participants in the modified navigation instruction conditions without further differentiating between modified instructions. Recognition performance of landmarks was better and the late positive complex of the event-related potential (ERP) revealed amplitude differences reflecting an increased amount of recollected information for modified navigation instructions. The results indicate a significant long-term spatial learning effect when landmarks are highlighted during navigation instructions.
Singh, AK, Chen, HT, Cheng, YF, King, JT, Ko, LW, Gramann, K & Lin, CT 2018, 'Visual Appearance Modulates Prediction Error in Virtual Reality', IEEE Access, vol. 6, pp. 24617-24624.View/Download from: UTS OPUS or Publisher's site
© 2013 IEEE. Different rendering styles induce different levels of agency and user behaviors in virtual reality environments. We applied an electroencephalogram-based approach to investigate how the rendering style of the users' hands affects behavioral and cognitive responses. To this end, we introduced prediction errors due to cognitive conflicts during a 3-D object selection task by manipulating the selection distance of the target object. The results showed that, for participants with high behavioral inhibition scores, the amplitude of the negative event-related potential at approximately 50-250 ms correlated with the realism of the virtual hands. Concurring with the uncanny valley theory, these findings suggest that the more realistic the representation of the user's hand is, the more sensitive the user becomes toward subtle errors, such as tracking inaccuracies.
Lin, C-T, Chiu, T-C, Wang, Y-K, Chuang, C-H & Gramann, K 2018, 'Granger causal connectivity dissociates navigation networks that subserve allocentric and egocentric path integration.', Brain Research, vol. 1679, pp. 91-100.View/Download from: UTS OPUS or Publisher's site
Studies on spatial navigation demonstrate a significant role of the retrosplenial complex (RSC) in the transformation of egocentric and allocentric information into complementary spatial reference frames (SRFs). The tight anatomical connections of the RSC with a wide range of other cortical regions processing spatial information support its vital role within the human navigation network. To better understand how different areas of the navigational network interact, we investigated the dynamic causal interactions of brain regions involved in solving a virtual navigation task. EEG signals were decomposed by independent component analysis (ICA) and subsequently examined for information flow between clusters of independent components (ICs) using direct short-time directed transfer function (sdDTF). The results revealed information flow between the anterior cingulate cortex and the left prefrontal cortex in the theta (4-7 Hz) frequency band and between the prefrontal, motor, parietal, and occipital cortices as well as the RSC in the alpha (8-13 Hz) frequency band. When participants prefered to use distinct reference frames (egocentric vs. allocentric) during navigation was considered, a dominant occipito-parieto-RSC network was identified in allocentric navigators. These results are in line with the assumption that the RSC, parietal, and occipital cortices are involved in transforming egocentric visual-spatial information into an allocentric reference frame. Moreover, the RSC demonstrated the strongest causal flow during changes in orientation, suggesting that this structure directly provides information on heading changes in humans.
Banaei, M, Hatami, J, Yazdanfar, A & Gramann, K 2017, 'Walking through architectural spaces: The impact of interior forms on human brain dynamics', Frontiers in Human Neuroscience, vol. 11.View/Download from: UTS OPUS or Publisher's site
© 2017 Banaei, Hatami, Yazdanfar and Gramann. Neuroarchitecture uses neuroscientific tools to better understand architectural design and its impact on human perception and subjective experience. The form or shape of the built environment is fundamental to architectural design, but not many studies have shown the impact of different forms on the inhabitants' emotions. This study investigated the neurophysiological correlates of different interior forms on the perceivers' affective state and the accompanying brain activity. To understand the impact of naturalistic three-dimensional (3D) architectural forms, it is essential to perceive forms from different perspectives. We computed clusters of form features extracted from pictures of residential interiors and constructed exemplary 3D room models based on and representing different formal clusters. To investigate human brain activity during 3D perception of architectural spaces, we used a mobile brain/body imaging (MoBI) approach recording the electroencephalogram (EEG) of participants while they naturally walk through different interior forms in virtual reality (VR). The results revealed a strong impact of curvature geometries on activity in the anterior cingulate cortex (ACC). Theta band activity in ACC correlated with specific feature types (rs (14) = 0.525, ρ = 0.037) and geometry (rs (14) = –0.579, ρ = 0.019), providing evidence for a role of this structure in processing architectural features beyond their emotional impact. The posterior cingulate cortex and the occipital lobe were involved in the perception of different room perspectives during the stroll through the rooms. This study sheds new light on the use of mobile EEG and VR in architectural studies and provides the opportunity to study human brain dynamics in participants that actively explore and realistically experience architectural spaces.
Gramann, K, Hoepner, P & Karrer-Gauss, K 2017, 'Modified Navigation Instructions for Spatial Navigation Assistance Systems Lead to Incidental Spatial Learning', FRONTIERS IN PSYCHOLOGY, vol. 8.View/Download from: UTS OPUS or Publisher's site
Grissmann, S, Zander, TO, Faller, J, Broenstrup, J, Kelava, A, Gramann, K & Gerjets, P 2017, 'Affective Aspects of Perceived Loss of Control and Potential Implications for Brain-Computer Interfaces', FRONTIERS IN HUMAN NEUROSCIENCE, vol. 11.View/Download from: UTS OPUS or Publisher's site
Sharma, G, Gramann, K, Chandra, S, Singh, V & Mittal, AP 2017, 'Brain connectivity during encoding and retrieval of spatial information: individual differences in navigation skills', Brain Informatics, vol. 4, no. 3, pp. 207-217.View/Download from: UTS OPUS or Publisher's site
© 2017, The Author(s). Emerging evidence suggests that the variations in the ability to navigate through any real or virtual environment are accompanied by distinct underlying cortical activations in multiple regions of the brain. These activations may appear due to the use of different frame of reference (FOR) for representing an environment. The present study investigated the brain dynamics in the good and bad navigators using Graph Theoretical analysis applied to low-density electroencephalography (EEG) data. Individual navigation skills were rated according to the performance in a virtual reality (VR)-based navigation task and the effect of navigator's proclivity towards a particular FOR on the navigation performance was explored. Participants were introduced to a novel virtual environment that they learned from a first-person or an aerial perspective and were subsequently assessed on the basis of efficiency with which they learnt and recalled. The graph theoretical parameters, path length (PL), global efficiency (GE), and clustering coefficient (CC) were computed for the functional connectivity network in the theta and alpha frequency bands. During acquisition of the spatial information, good navigators were distinguished by a lower degree of dispersion in the functional connectivity compared to the bad navigators. Within the groups of good and bad navigators, better performers were characterised by the formation of multiple hubs at various sites and the percentage of connectivity or small world index. The proclivity towards a specific FOR during exploration of a new environment was not found to have any bearing on the spatial learning. These findings may have wider implications for how the functional connectivity in the good and bad navigators differs during spatial information acquisition and retrieval in the domains of rescue operations and defence systems.
Toellner, T, Wang, Y, Makeig, S, Mueller, HJ, Jung, T-P & Gramann, K 2017, 'Two Independent Frontal Midline Theta Oscillations during Conflict Detection and Adaptation in a Simon-Type Manual Reaching Task', JOURNAL OF NEUROSCIENCE, vol. 37, no. 9, pp. 2504-2515.View/Download from: UTS OPUS or Publisher's site
Zander, TO, Andreessen, LM, Berg, A, Bleuel, M, Pawlitzki, J, Zawallich, L, Krol, LR & Gramann, K 2017, 'Evaluation of a Dry EEG System for Application of Passive Brain-Computer Interfaces in Autonomous Driving', FRONTIERS IN HUMAN NEUROSCIENCE, vol. 11.View/Download from: UTS OPUS or Publisher's site
Jungnickel, E & Gramann, K 2016, 'Mobile Brain/Body Imaging (MoBI) of Physical Interaction with Dynamically Moving Objects', FRONTIERS IN HUMAN NEUROSCIENCE, vol. 10.View/Download from: UTS OPUS or Publisher's site
Zander, TO, Krol, LR, Birbaumer, NP & Gramann, K 2016, 'Neuroadaptive technology enables implicit cursor control based on medial prefrontal cortex activity', PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, vol. 113, no. 52, pp. 14898-14903.View/Download from: UTS OPUS or Publisher's site
Goeke, C, Kornpetpanee, S, Koester, M, Fernandez-Revelles, AB, Gramann, K & Koenig, P 2015, 'Cultural background shapes spatial reference frame proclivity', SCIENTIFIC REPORTS, vol. 5.View/Download from: UTS OPUS or Publisher's site
Mai, S, Gramann, K, Herbert, BM, Friederich, H-C, Warschburger, P & Pollatos, O 2015, 'Electrophysiological evidence for an attentional bias in processing body stimuli in bulimia nervosa', BIOLOGICAL PSYCHOLOGY, vol. 108, pp. 105-114.View/Download from: Publisher's site
Wisniewski, MG, Mercado, E, Church, BA, Gramann, K & Makeig, S 2014, 'Brain dynamics that correlate with effects of learning on auditory distance perception', FRONTIERS IN NEUROSCIENCE, vol. 8.View/Download from: UTS OPUS or Publisher's site
Gramann, K, Jung, T-P, Ferris, DP, Lin, C-T & Makeig, S 2014, 'Toward a new cognitive neuroscience: modeling natural brain dynamics', FRONTIERS IN HUMAN NEUROSCIENCE, vol. 8.View/Download from: UTS OPUS or Publisher's site
Fuestoes, J, Gramann, K, Herbert, BM & Pollatos, O 2013, 'On the embodiment of emotion regulation: interoceptive awareness facilitates reappraisal', SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE, vol. 8, no. 8, pp. 911-917.View/Download from: Publisher's site
Goeke, CM, Koenig, P & Gramann, K 2013, 'Different strategies for spatial updating in yaw and pitch path integration', FRONTIERS IN BEHAVIORAL NEUROSCIENCE, vol. 7.View/Download from: UTS OPUS or Publisher's site
Gramann, K 2013, 'Embodiment of Spatial Reference Frames and Individual Differences in Reference Frame Proclivity', SPATIAL COGNITION AND COMPUTATION, vol. 13, no. 1, pp. 1-25.View/Download from: Publisher's site
Gramann, K & Schluepmann, H 2013, 'Film-History at the Kinothek Asta Nielsen', ZEITGESCHICHTE, vol. 40, no. 4, pp. 236-+.
Kozhevnikov, M, Elliott, J, Shephard, J & Gramann, K 2013, 'Neurocognitive and Somatic Components of Temperature Increases during g-Tummo Meditation: Legend and Reality', PLOS ONE, vol. 8, no. 3.View/Download from: UTS OPUS or Publisher's site
Gramann, K, Wing, S, Jung, T-P, Viirre, E & Riecke, BE 2012, 'Switching Spatial Reference Frames for Yaw and Pitch Navigation', SPATIAL COGNITION AND COMPUTATION, vol. 12, no. 2-3, pp. 159-194.View/Download from: Publisher's site
Kuehnpast, N, Gramann, K & Pollatos, O 2012, 'Electrophysiologic Evidence for Multilevel Deficits in Emotional Face Processing in Patients With Bulimia Nervosa', PSYCHOSOMATIC MEDICINE, vol. 74, no. 7, pp. 736-744.View/Download from: Publisher's site
Lai, K, She, H-C, Chen, S-C, Chou, W-C, Huang, L-Y, Jung, T-P & Gramann, K 2012, 'Encoding of Physics Concepts: Concreteness and Presentation Modality Reflected by Human Brain Dynamics', PLOS ONE, vol. 7, no. 7.View/Download from: UTS OPUS or Publisher's site
Pollatos, O & Gramann, K 2012, 'Attenuated modulation of brain activity accompanies emotion regulation deficits in alexithymia', PSYCHOPHYSIOLOGY, vol. 49, no. 5, pp. 651-658.View/Download from: Publisher's site
Rapela, J, Gramann, K, Westerfield, M, Townsend, J & Makeig, S 2012, 'Brain oscillations in Switching vs. Focusing audio-visual attention', 2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), pp. 352-355.
Wisniewski, MG, Mercado, E, Gramann, K & Makeig, S 2012, 'Familiarity with Speech Affects Cortical Processing of Auditory Distance Cues and Increases Acuity', PLOS ONE, vol. 7, no. 7.View/Download from: UTS OPUS or Publisher's site
Chiu, T-C, Gramann, K, Ko, L-W, Duann, J-R, Jung, T-P & Lin, C-T 2012, 'Alpha modulation in parietal and retrosplenial cortex correlates with navigation performance', PSYCHOPHYSIOLOGY, vol. 49, no. 1, pp. 43-55.View/Download from: UTS OPUS or Publisher's site
Liao, LD, Lin, CT, McDowell, K, Wickenden, AE, Gramann, K, Jung, TP, Ko, LW & Chang, JY 2012, 'Biosensor technologies for augmented brain-computer interfaces in the next decades', Proceedings of the IEEE, vol. 100, no. SPL CONTENT, pp. 1553-1566.View/Download from: UTS OPUS or Publisher's site
The study of brain-computer interfaces (BCIs) has undergone 30 years of intense development and has grown into a rich and diverse field. BCIs are technologies that enable direct communication between the human brain and external devices. Conventionally, wet electrodes have been employed to obtain unprecedented sensitivity to high-temporal-resolution brain activity; recently, the growing availability of various sensors that can be used to detect high-quality brain signals in a wide range of clinical and everyday environments is being exploited. This development of biosensing neurotechnologies and the desire to implement them in real-world applications have led to the opportunity to develop augmented BCIs (ABCIs) in the upcoming decades. An ABCI is similar to a BCI in that it relies on biosensors that record signals from the brain in everyday environments; the signals are then processed in real time to monitor the behavior of the human. To use an ABCI as a mobile brain imaging technique for everyday, real-life applications, the sensors and the corresponding device must be lightweight and the equipment response time must be short. This study presents an overview of the wide range of biosensor approaches currently being applied to ABCIs, from their use in the laboratory to their application in clinical and everyday use. The basic principles of each technique are described along with examples of current applications of cutting-edge neuroscience research. In summary, we show that ABCI techniques continue to grow and evolve, incorporating new technologies and advances to address ever more complex and important neuroscience issues, with advancements that are envisioned to lead to a wide range of real-life applications. © 2012 IEEE.
Gwin, JT, Gramann, K, Makeig, S & Ferris, DP 2011, 'Electrocortical activity is coupled to gait cycle phase during treadmill walking', NEUROIMAGE, vol. 54, no. 2, pp. 1289-1296.View/Download from: Publisher's site
Liao, Y, Gramann, K, Feng, W, Deak, GO & Li, H 2011, 'This ought to be good: Brain activity accompanying positive and negative expectations and outcomes', PSYCHOPHYSIOLOGY, vol. 48, no. 10, pp. 1412-1419.View/Download from: Publisher's site
Toellner, T, Zehetleitner, M, Gramann, K & Mueller, HJ 2011, 'Stimulus Saliency Modulates Pre-Attentive Processing Speed in Human Visual Cortex', PLOS ONE, vol. 6, no. 1.View/Download from: UTS OPUS or Publisher's site
Gramann, K, Gwin, JT, Ferris, DP, Oie, K, Jung, T-P, Lin, C-T, Liao, L-D & Makeig, S 2011, 'Cognition in action: imaging brain/body dynamics in mobile humans', REVIEWS IN THE NEUROSCIENCES, vol. 22, no. 6, pp. 593-608.View/Download from: UTS OPUS or Publisher's site
Gramann, K, Gwin, JT, Bigdely-Shamlo, N, Ferris, DP & Makeig, S 2010, 'Visual evoked responses during standing and walking', FRONTIERS IN HUMAN NEUROSCIENCE, vol. 4.View/Download from: UTS OPUS or Publisher's site
Gramann, K, Onton, J, Riccobon, D, Mueller, HJ, Bardins, S & Makeig, S 2010, 'Human Brain Dynamics Accompanying Use of Egocentric and Allocentric Reference Frames during Navigation', JOURNAL OF COGNITIVE NEUROSCIENCE, vol. 22, no. 12, pp. 2836-2849.View/Download from: Publisher's site
Gwin, JT, Gramann, K, Makeig, S & Ferris, DP 2010, 'Removal of Movement Artifact From High-Density EEG Recorded During Walking and Running', JOURNAL OF NEUROPHYSIOLOGY, vol. 103, no. 6, pp. 3526-3534.View/Download from: Publisher's site
Toellner, T, Zehetleitner, M, Gramann, K & Mueller, HJ 2010, 'Top-down weighting of visual dimensions: Behavioral and electrophysiological evidence', VISION RESEARCH, vol. 50, no. 14, pp. 1372-1381.View/Download from: Publisher's site
Zhang, L, Chi, YM, Edelstein, E, Schulze, J, Gramann, K, Velasquez, A, Cauwenberghs, G & Macagno, E 2010, 'Wireless Physiological Monitoring and Ocular Tracking: 3D Calibration in a Fully-Immersive Virtual Health Care Environment', 2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), pp. 4464-4467.View/Download from: Publisher's site
Becker, C, Gramann, K, Mueller, HJ & Elliott, MA 2009, 'Electrophysiological correlates of flicker-induced color hallucinations', CONSCIOUSNESS AND COGNITION, vol. 18, no. 1, pp. 266-276.View/Download from: Publisher's site
Gramann, K, El Sharkawy, J & Deubel, H 2009, 'EYE-MOVEMENTS DURING NAVIGATION IN A VIRTUAL TUNNEL', INTERNATIONAL JOURNAL OF NEUROSCIENCE, vol. 119, no. 10, pp. 1755-1778.View/Download from: Publisher's site
Grosse-Wentrup, M, Liefhold, C, Gramann, K & Buss, M 2009, 'Beamforming in Noninvasive Brain-Computer Interfaces', IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, vol. 56, no. 4, pp. 1209-1219.View/Download from: Publisher's site
Makeig, S, Gramann, K, Jung, T-P, Sejnowski, TJ & Poizner, H 2009, 'Linking brain, mind and behavior', INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY, vol. 73, no. 2, pp. 95-100.View/Download from: Publisher's site
Toellner, T, Gramann, K, Mueller, HJ & Eimer, M 2009, 'The Anterior N1 Component as an Index of Modality Shifting', JOURNAL OF COGNITIVE NEUROSCIENCE, vol. 21, no. 9, pp. 1653-1669.View/Download from: Publisher's site
Neumann, A, Grosse-Wentrup, M, Buss, M & Gramann, K 2008, 'THE EFFECT OF MUTUAL INFORMATION ON INDEPENDENT COMPONENT ANALYSIS IN EEG/MEG ANALYSIS: A SIMULATION STUDY', INTERNATIONAL JOURNAL OF NEUROSCIENCE, vol. 118, no. 11, pp. 1534-1546.View/Download from: Publisher's site
Pollatos, O, Herbert, BM, Schandry, R & Gramann, K 2008, 'Impaired central processing of emotional faces in Anorexia Nervosa', Psychosomatic Medicine, vol. 70, no. 6, pp. 701-708.View/Download from: Publisher's site
Objectives: To elucidate the potential relationship between classification of emotional faces and impaired central processing in eating disorders and to investigate the potential mediatory role of alexithymia and depression in this relationship. Methods: Visual-evoked potentials (VEPs) to emotional faces and classification performance were assessed in 12 anorexic females and matched healthy controls. Results: Patients with anorexia nervosa showed no modulation of emotional face processing and displayed significantly increased N200 amplitudes in response to all emotional categories and decreased VEPs in response to unpleasant emotional faces in the P300 time range as compared with healthy controls. They also made more mistakes in emotional face recognition, in particular, for neutral, sad, and disgusted content. Conclusions: There are marked differences in evoked potentials and emotion recognition performances of patients with anorexia nervosa and controls in facial processing. Differences in brain dynamics might contribute to difficulties in the correct recognition of facially expressed emotions, deficits in social functioning, and in turn the maintenance of eating disorders. Copyright © 2008 by the American Psychosomatic Society.
Pollatos, O, Herbert, BM, Schandry, R & Gramann, K 2008, 'Impaired central processing of emotional faces in anorexia nervosa', PSYCHOSOMATIC MEDICINE, vol. 70, no. 6, pp. 701-708.View/Download from: Publisher's site
Seubert, J, Humphreys, GW, Mueller, HJ & Gramann, K 2008, 'Straight after the turn: The role of the parietal lobes in egocentric space processing', NEUROCASE, vol. 14, no. 2, pp. 204-219.View/Download from: Publisher's site
Toellner, T, Gramann, K, Mueller, HJ, Kiss, M & Eimer, M 2008, 'Electrophysiological markers of visual dimension changes and response changes', JOURNAL OF EXPERIMENTAL PSYCHOLOGY-HUMAN PERCEPTION AND PERFORMANCE, vol. 34, no. 3, pp. 531-542.View/Download from: Publisher's site
Gramann, K, Toellner, T, Krummenacher, J, Eimer, M & Mueller, HJ 2007, 'Brain electrical correlates of dimensional weighting: An ERP study', PSYCHOPHYSIOLOGY, vol. 44, no. 2, pp. 277-292.View/Download from: Publisher's site
Conci, M, Gramann, K, Muller, HJ & Elliott, MA 2006, 'Electrophysiological correlates of similarity-based interference during detection of visual forms', JOURNAL OF COGNITIVE NEUROSCIENCE, vol. 18, no. 6, pp. 880-888.View/Download from: Publisher's site
Gramann, K, Mueller, HJ, Schoenebeck, B & Debus, G 2006, 'The neural basis of ego- and allocentric reference frames in spatial navigation: Evidence from spatio-temporal coupled current density reconstruction', BRAIN RESEARCH, vol. 1118, pp. 116-129.View/Download from: Publisher's site
Gehrke, L, Akman, S, Lopes, P, Chen, A, Singh, AK, Chen, H-T, Lin, CT & Gramann, K 2019, 'Detecting Visuo-Haptic Mismatches in Virtual Reality using the Prediction Error Negativity of Event-Related Brain Potentials', CHI 2019: PROCEEDINGS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI Conference on Human Factors in Computing Systems (CHI), ASSOC COMPUTING MACHINERY, Glasgow, SCOTLAND.View/Download from: UTS OPUS or Publisher's site
Gehrke, L, Guerdan, L & Gramann, K 2019, 'Extracting Motion-Related Subspaces from EEG in Mobile Brain/Body Imaging Studies using Source Power Comodulation', 2019 9TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER), 9th IEEE/EMBS International Conference on Neural Engineering (NER), IEEE, San Francisco, CA, pp. 344-347.View/Download from: UTS OPUS
Gehrke, L, Iversen, JR, Makeig, S & Gramann, K 2018, 'The invisible maze task (IMT): Interactive exploration of sparse virtual environments to investigate action-driven formation of spatial representations', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), German Conference on Spatial Cognition, Springer Link, Tübingen, Germany, pp. 293-310.View/Download from: UTS OPUS or Publisher's site
© Springer Nature Switzerland AG 2018. The neuroscientific study of human navigation has been constrained by the prerequisite of traditional brain imaging studies that require participants to remain stationary. Such imaging approaches neglect a central component that characterizes navigation - the multisensory experience of self-movement. Navigation by active movement through space combines multisensory perception with internally generated self-motion cues. We investigated the spatial microgenesis during free ambulatory exploration of interactive sparse virtual environments using motion capture synchronized to high resolution electroencephalographic (EEG) data as well AS psychometric and self-report measures. In such environments, map-like allocentric representations must be constructed out of transient, egocentric first-person perspective 3-D spatial information. Considering individual differences of spatial learning ability, we studied if changes in exploration behavior coincide with spatial learning of an environment. To this end, we analyzed the quality of sketch maps (a description of spatial learning) that were produced after repeated learning trials for differently complex maze environments. We observed significant changes in active exploration behavior from the first to the last exploration of a maze: a decrease in time spent in the maze predicted an increase in subsequent sketch map quality. Furthermore, individual differences in spatial abilities as well as differences in the level of experienced immersion had an impact on the quality of spatial learning. Our results demonstrate converging evidence of observable behavioral changes associated with spatial learning in a framework that allows the study of cortical dynamics of navigation.
Wunderlich, A & Gramann, K 2018, 'Electrocortical evidence for long-term incidental spatial learning through modified navigation instructions', Spatial Cognition XI 11th International Conference, Spatial Cognition 2018 Tübingen, Germany, September 5–8, 2018 Proceedings (LNAI 11034) in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Conference on Spatial Cognition 2018, Springer, Germany, pp. 261-278.View/Download from: UTS OPUS or Publisher's site
© Springer Nature Switzerland AG 2018. The use of Navigation Assistance Systems for spatial orienting has become increasingly popular. Such automated navigation support, however, comes with a reduced processing of the surrounding environment and often with a decline of spatial orienting ability. To prevent such deskilling and to support spatial learning, the present study investigated incidental spatial learning by comparing standard navigation instructions with two modified navigation instruction conditions. The first modified instruction condition highlighted landmarks and provided additional redundant information regarding the landmark (contrast condition), while the second highlighted landmarks and included information of personal interest to the participant (personal-reference condition). Participants' spatial knowledge of the previously unknown virtual city was tested three weeks later. Behavioral and electroencephalographic (EEG) data demonstrated enhanced spatial memory performance for participants in the modified navigation instruction conditions without further differentiating between modified instructions. Recognition performance of landmarks was better and the late positive complex of the event-related potential (ERP) revealed amplitude differences reflecting an increased amount of recollected information for modified navigation instructions. The results indicate a significant long-term spatial learning effect when landmarks are highlighted during navigation instructions.
Krol, LR, Freytag, S-C, Fleck, M, Gramann, K & Zander, TO 2016, 'A Task-Independent Workload Classifier for Neuroadaptive Technology: Preliminary Data', 2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE, Budapest, HUNGARY, pp. 3171-3174.View/Download from: UTS OPUS
Gramann, K 2015, 'MOBILE BRAIN/BODY IMAGING (MOBI) OF NATURAL SPATIAL COGNITION', PSYCHOPHYSIOLOGY, 55th Annual Meeting of the Society-for-Psychophysiological-Research, WILEY-BLACKWELL, Seattle, WA, pp. S10-S10.
Gramann, K 2015, 'Neural correlates of mental rotations for different reference frame proclivities', COGNITIVE PROCESSING, Proceedings of the Sixth International Conference on Spatial Cognition (ICSC), SPRINGER HEIDELBERG, Rome, ITALY, pp. S70-S70.
Rapela, J, Gramann, K, Westerfield, M, Townsend, J & Makeig, S 2012, 'Brain oscillations in switching vs. focusing audio-visual attention', Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 352-355.View/Download from: Publisher's site
Selective attention contributes to perceptual efficiency by modulating cortical activity according to task demands. The majority of attentional research has focused on the effects of attention to a single modality, and little is known about the role of attention in multimodal sensory processing. Here we employ a novel experimental design to examine the electrophysiological basis of audio-visual attention shifting. We use electroencephalography (EEG) to study differences in brain dynamics between quickly shifting attention between modalities and focusing attention on a single modality for extended periods of time. We also address interactions between attentional effects generated by the attention-shifting cue and those generated by subsequent stimuli. The conclusions from these examinations address key issues in attentional research, including the supramodal theory of attention, or the role of attention in foveal vision. The experimental design and analysis methods used here may suggest new directions in the study of the physiological basis of attention. © 2012 IEEE.
Plank, M, Mueller, HJ, Onton, J, Makeig, S & Gramann, K 2010, 'Human EEG Correlates of Spatial Navigation within Egocentric and Allocentric Reference Frames', SPATIAL COGNITION VII, 7th International Conference Spatial Cognition, SPRINGER-VERLAG BERLIN, Mt Hood, OR, pp. 191-+.
Edelstein, EA, Gramann, K, Schulze, J, Vankov, A, Bigdely, N, Van Erp, E, Makeig, S & Macagno, E 2009, 'Synchronization of brain dynamics with navigation behaviors in full scale, stereoscopic 3D virtual reality architecture', COGNITIVE PROCESSING, SPRINGER HEIDELBERG, pp. S136-S137.
Pollatos, O & Gramann, K 2009, 'DIFFERENCES IN THE CENTRAL PROCESSING AND VOLUNTARY REGULATION OF EMOTIONS IN ALEXITHYMIA - AN EEG STUDY', PSYCHOPHYSIOLOGY, 49th Annual Meeting of the Society-for-Psychophysiological-Research, WILEY-BLACKWELL PUBLISHING, INC, Berlin, GERMANY, pp. S159-S159.
Toellner, T, Mueller, H, Poizner, H, Makeig, S & Gramann, K 2009, 'ELECTROENCEPHALOGRAPHIC MEASUREMENT OF MANUAL POINTING IN VISUALLY GUIDED COMPOUND SEARCH', PSYCHOPHYSIOLOGY, 49th Annual Meeting of the Society-for-Psychophysiological-Research, WILEY-BLACKWELL PUBLISHING, INC, Berlin, GERMANY, pp. S118-S119.
Lin, C-T, Yang, F-S, Chiou, T-C, Ko, L-W, Duann, J-R & Gramann, K 2009, 'EEG-based Spatial Navigation Estimation in a Virtual Reality Driving Environment', 2009 9TH IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOENGINEERING, 9th IEEE International Conference on BioInformatics and BioEngineering, IEEE, Taichung, TAIWAN, pp. 435-+.
Mueller, M & Gramann, K 2008, 'Reference frames in spatial navigation: Human brain dynamics is influenced by path complexity', INTERNATIONAL JOURNAL OF PSYCHOLOGY, PSYCHOLOGY PRESS, pp. 225-225.
Grosse-Wentrup, M, Gramann, K & Buss, M 2007, 'Adaptive spatial filters with predefined region of interest for EEG based brain-computer-interfaces', Advances in Neural Information Processing Systems, pp. 537-544.
The performance of EEG-based Brain-Computer-Interfaces (BCIs) critically depends on the extraction of features from the EEG carrying information relevant for the classification of different mental states. For BCIs employing imaginary movements of different limbs, the method of Common Spatial Patterns (CSP) has been shown to achieve excellent classification results. The CSP-algorithm however suffers from a lack of robustness, requiring training data without artifacts for good performance. To overcome this lack of robustness, we propose an adaptive spatial filter that replaces the training data in the CSP approach by a-priori information. More specifically, we design an adaptive spatial filter that maximizes the ratio of the variance of the electric field originating in a predefined region of interest (ROI) and the overall variance of the measured EEG. Since it is known that the component of the EEG used for discriminating imaginary movements originates in the motor cortex, we design two adaptive spatial filters with the ROIs centered in the hand areas of the left and right motor cortex. We then use these to classify EEG data recorded during imaginary movements of the right and left hand of three subjects, and show that the adaptive spatial filters outperform the CSP-algorithm, enabling classification rates of up to 94.7 % without artifact rejection.
Liefhold, C, Grosse-Wentrup, M, Gramann, K & Buss, M 2007, 'Comparison of adaptive spatial filters with heuristic and optimized region of interest for EEG based brain-computer-interfaces', PATTERN RECOGNITION, PROCEEDINGS, 29th Annual Symposium of the German-Association-for-Pattern-Recognition, SPRINGER-VERLAG BERLIN, Heidelberg, GERMANY, pp. 274-+.
Gramann, K, Onton, J & Makeig, S 2006, 'Time-frequency analyses of oscillatory activity during spatial navigation', JOURNAL OF PSYCHOPHYSIOLOGY, HOGREFE & HUBER PUBLISHERS, pp. 150-150.
Riccobon, D & Gramann, K 2006, 'The effect of distinct reference frames on the encoding of spatial information: An electrophysiological investigation', JOURNAL OF PSYCHOPHYSIOLOGY, HOGREFE & HUBER PUBLISHERS, pp. 134-134.
Toellner, T, Gramann, K, Mueller, H & Eimer, M 2006, 'Electrophysiological correlates of modality changes in vision and touch', PSYCHOPHYSIOLOGY, 46th Annual Meeting of the Society-for-Psychophysiological-Research, BLACKWELL PUBLISHING, Vancouver, CANADA, pp. S98-S98.
Toellner, T, Gramann, K, Mueller, H & Eimer, M 2006, 'The N2pc as a marker of visual dimension weighting', JOURNAL OF PSYCHOPHYSIOLOGY, HOGREFE & HUBER PUBLISHERS, pp. 151-151.
Gramann, K, Toellner, T, Krummenacher, J & Muller, HJ 2005, 'Electrocortical correlates of the dimensional weighting account: Shifting the weights', JOURNAL OF PSYCHOPHYSIOLOGY, HOGREFE & HUBER PUBLISHERS, pp. 119-119.
Riccobon, D & Gramann, K 2005, 'The influence of the preferred reference frame in spatial orientation on reactions within different coordinate systems: An ERP-study', JOURNAL OF PSYCHOPHYSIOLOGY, HOGREFE & HUBER PUBLISHERS, pp. 139-140.
Wentrup, MG, Gramann, K, Wascher, E & Buss, M 2005, 'EEC source localization for brain-computer-interfaces', 2005 2ND INTERNATINOAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING, 2nd International IEEE/EMBS Conference on Neural Engineering, IEEE, Arlington, VA, pp. 128-131.
Wentrup, MG, Gramann, K, Wascher, E & Buss, M 2005, 'EEG source localization for brain-computer-interfaces', 2nd International IEEE EMBS Conference on Neural Engineering, pp. 128-131.View/Download from: Publisher's site
While most EEG based Brain-Computer-Interfaces (BCIs) employ machine learning algorithms for classification, we propose to utilize source localization procedures for this purpose. Although the computational demand is considerably higher, this approach could allow the simultaneous classification of a multitude of conditions. We present an extension of Independent Component Analysis (ICA) - based source localization that is fully automatic, and apply this method to the classification of EEG data generated by imaginary movements of the right and left index finger. The results demonstrate that source localization provides a viable alternative to machine learning algorithms for BCIs. © 2005 IEEE.
Gramann, K, Schonebeck, B, Debus, G & Muller, H 2004, 'Distinct cortical networks subserving the computation of ego- and allocentric frames of reference', JOURNAL OF PSYCHOPHYSIOLOGY, HOGREFE & HUBER PUBLISHERS, pp. 225-226.
Pollatos, O, Auer, DP, Schandry, R, Gramann, K & Kaufmann, C 2004, 'The neural activity during autonomic awareness and the processing of emotional stimuli', JOURNAL OF PSYCHOPHYSIOLOGY, HOGREFE & HUBER PUBLISHERS, pp. 203-203.
Gramann, K, Schonebeck, B & Debus, G 2003, 'Pectrocortical indicators of working-memory processes', JOURNAL OF PSYCHOPHYSIOLOGY, HOGREFE & HUBER PUBLISHERS, pp. 150-150.
Pollatos, O, Gramann, K & Schandry, R 2003, 'Cortical activation patterns are related to cardiac perception in emotion processing', JOURNAL OF PSYCHOPHYSIOLOGY, HOGREFE & HUBER PUBLISHERS, pp. 173-173.
Gramann, K & Schonebeck, B 2001, 'Selective activation of subcomponents of the phonological loop as revealed by event-related potentials', JOURNAL OF PSYCHOPHYSIOLOGY, HOGREFE & HUBER PUBLISHERS, pp. 67-67.