Maurice Hollmann

Max Planck Institute for Human Cognitive and Brain Sciences

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Arno Villringer

Max Planck Institute for Human Cognitive and Brain Sciences

Annette Horstmann

Max Planck Institute for Human Cognitive and Brain Sciences

Burkhard Pleger

Ruhr University Bochum

Johannes Bernarding

Otto-von-Guericke University Magdeburg

Lydia Hellrung

University of Zurich

Hadas Okon‐Singer

University of Haifa

Anja Dietrich

Max Planck Institute for Human Cognitive and Brain Sciences

Oliver Zscheyge

Max Planck Institute for Human Cognitive and Brain Sciences

Tobias Moench

University Hospital Magdeburg

Torsten Schlumm

Max Planck Institute for Human Cognitive and Brain Sciences

Cooperative Institutions

Istituti di Ricovero e Cura a Carattere Scientifico

University of Florence

Azienda Ospedaliero-Universitaria Careggi

Hacettepe University

Ghent University Hospital

University Hospital of Geneva

Copenhagen University Hospital

University of Oslo

University of Copenhagen

University of Perugia

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Dynamically adapting designs for real-time fMRI

Lydia Hellrung Maurice Hollmann Oliver Zscheyge Torsten Schlumm Annette Horstmann

Source

Cite

Citations (0)

Emotional conflict in cinematic experience: An fMRI study

Christiane S. Rohr Carolina Solms-Baruth Maurice Hollmann Arno Villringer Daniel S. Margulies

Source

Cite

Citations (0)

Brain imaging in the context of food perception and eating

Current Opinion in Lipidology (2012)

Maurice Hollmann Burkhard Pleger Arno Villringer Annette Horstmann

Eating behavior depends heavily on brain function. In recent years, brain imaging has proved to be a powerful tool to elucidate brain function and brain structure in the context of eating. In this review, we summarize recent findings in the fast growing body of literature in the field and provide an overview of technical aspects as well as the basic brain mechanisms identified with imaging. Furthermore, we highlight findings linking neural processing of eating-related stimuli with obesity.The consumption of food is based on a complex interplay between homeostatic and hedonic mechanisms. Several hormones influence brain activity to regulate food intake and interact with the brain's reward circuitry, which is partly mediated by dopamine signaling. Additionally, it was shown that food stimuli trigger cognitive control mechanisms that incorporate internal goals into food choice. The brain mechanisms observed in this context are strongly influenced by genetic factors, sex and personality traits.Overall, a complex picture arises from brain-imaging findings, because a multitude of factors influence human food choice. Although several key mechanisms have been identified, there is no comprehensive model that is able to explain the behavioral observations to date. Especially a careful characterization of patients according to genotypes and phenotypes could help to better understand the current and future findings in neuroimaging studies.

Brain Function

Food Choice

10.1097/mol.0b013e32835b61a4

Cite

Citations (24)

Intermittent compared to continuous real-time fMRI neurofeedback boosts control over amygdala activation

NeuroImage (2017)

Lydia Hellrung Anja Dietrich Maurice Hollmann Burkhard Pleger Christian Kalberlah

Real-time fMRI neurofeedback is a feasible tool to learn the volitional regulation of brain activity. So far, most studies provide continuous feedback information that is presented upon every volume acquisition. Although this maximizes the temporal resolution of feedback information, it may be accompanied by some disadvantages. Participants can be distracted from the regulation task due to (1) the intrinsic delay of the hemodynamic response and associated feedback and (2) limited cognitive resources available to simultaneously evaluate feedback information and stay engaged with the task. Here, we systematically investigate differences between groups presented with different variants of feedback (continuous vs. intermittent) and a control group receiving no feedback on their ability to regulate amygdala activity using positive memories and feelings. In contrast to the feedback groups, no learning effect was observed in the group without any feedback presentation. The group receiving intermittent feedback exhibited better amygdala regulation performance when compared with the group receiving continuous feedback. Behavioural measurements show that these effects were reflected in differences in task engagement. Overall, we not only demonstrate that the presentation of feedback is a prerequisite to learn volitional control of amygdala activity but also that intermittent feedback is superior to continuous feedback presentation.

Negative feedback

Positive feedback

10.1016/j.neuroimage.2017.10.031

Cite

Citations (63)

Flexible Adaptive Paradigms for fMRI Using a Novel Software Package ‘Brain Analysis in Real-Time’ (BART)

PLoS ONE (2015)

Lydia Hellrung Maurice Hollmann Oliver Zscheyge Torsten Schlumm Christian Kalberlah

In this work we present a new open source software package offering a unified framework for the real-time adaptation of fMRI stimulation procedures. The software provides a straightforward setup and highly flexible approach to adapt fMRI paradigms while the experiment is running. The general framework comprises the inclusion of parameters from subject’s compliance, such as directing gaze to visually presented stimuli and physiological fluctuations, like blood pressure or pulse. Additionally, this approach yields possibilities to investigate complex scientific questions, for example the influence of EEG rhythms or fMRI signals results themselves. To prove the concept of this approach, we used our software in a usability example for an fMRI experiment where the presentation of emotional pictures was dependent on the subject’s gaze position. This can have a significant impact on the results. So far, if this is taken into account during fMRI data analysis, it is commonly done by the post-hoc removal of erroneous trials. Here, we propose an a priori adaptation of the paradigm during the experiment’s runtime. Our fMRI findings clearly show the benefits of an adapted paradigm in terms of statistical power and higher effect sizes in emotion-related brain regions. This can be of special interest for all experiments with low statistical power due to a limited number of subjects, a limited amount of time, costs or available data to analyze, as is the case with real-time fMRI.

Statistical power

10.1371/journal.pone.0118890

Cite

Citations (14)

Weight status and eating behavior affect how the brain regulates food craving

Anja Dietrich Maurice Hollmann David Mathar Arno Villringer Annette Horstmann

Affect

Food craving

Source

Cite

Citations (0)

Clustering by weight and eating style reveals congruent structural and functional brain differences

Annette Horstmann Anja Dietrich Burkhard Pleger Arno Villringer Maurice Hollmann

Source

Cite

Citations (0)

Predicting Decisions in Human Social Interactions Using Real-Time fMRI and Pattern Classification

PLoS ONE (2011)

Maurice Hollmann Jochem W. Rieger Sebastian Baecke Ralf Lützkendorf Charles Müller

Negotiation and trade typically require a mutual interaction while simultaneously resting in uncertainty which decision the partner ultimately will make at the end of the process. Assessing already during the negotiation in which direction one's counterpart tends would provide a tremendous advantage. Recently, neuroimaging techniques combined with multivariate pattern classification of the acquired data have made it possible to discriminate subjective states of mind on the basis of their neuronal activation signature. However, to enable an online-assessment of the participant's mind state both approaches need to be extended to a real-time technique. By combining real-time functional magnetic resonance imaging (fMRI) and online pattern classification techniques, we show that it is possible to predict human behavior during social interaction before the interacting partner communicates a specific decision. Average accuracy reached approximately 70% when we predicted online the decisions of volunteers playing the ultimatum game, a well-known paradigm in economic game theory. Our results demonstrate the successful online analysis of complex emotional and cognitive states using real-time fMRI, which will enable a major breakthrough for social fMRI by providing information about mental states of partners already during the mutual interaction. Interestingly, an additional whole brain classification across subjects confirmed the online results: anterior insula, ventral striatum, and lateral orbitofrontal cortex, known to act in emotional self-regulation and reward processing for adjustment of behavior, appeared to be strong determinants of later overt behavior in the ultimatum game. Using whole brain classification we were also able to discriminate between brain processes related to subjective emotional and motivational states and brain processes related to the evaluation of objective financial incentives.

Orbitofrontal cortex

Ultimatum game

10.1371/journal.pone.0025304

Cite

Citations (47)

Real-time classification of activated brain areas for fMRI-based human-brain-interfaces

Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (2008)

Tobias Moench Maurice Hollmann Ramona Grzeschik Charles M. Mueller Ralf Luetzkendorf

Functional MR imaging (fMRI) enables to detect different activated brain areas according to the performed tasks. However, data are usually evaluated after the experiment, which prohibits intra-experiment optimization or more sophisticated applications such as biofeedback experiments. Using a human-brain-interface (HBI), subjects are able to communicate with external programs, e.g. to navigate through virtual scenes, or to experience and modify their own brain activation. These applications require the real-time analysis and classification of activated brain areas. Our paper presents first results of different strategies for real-time pattern analysis and classification realized within a flexible experiment control system that enables the volunteers to move through a 3D virtual scene in real-time using finger tapping tasks, and alternatively only thought-based tasks.

Finger tapping

Human brain

10.1117/12.769848

Cite

Citations (7)

Dynamic experiment design in functional magnetic resonance imaging

Lydia Hellrung Maurice Hollmann Oliver Zscheyge Torsten Schlumm Annette Horstmann

Source

Cite

Citations (0)