04 July 2018: Dominik Bach is laureate of this year’s Robert Bing Prize from the Swiss Academy of Medical Sciences. More information here. Thanks to the great team who made this possible!
16 June 2018: Several non-benzodiazepine anxiolytics have been developed and tested and rodents, and not made it to clinical application. Here, we use our lorazepam-validated approach-avoidance computer game to elicit anxiety-like behaviour and test the impact of a potential anxiolytic, the antiepileptic drug valproate, against an established anxiolytic, pregabalin. The two drugs have very similar effects, which could potentially motivate clinical trials (Bach et al., Translational Psychiatry, 2018).
15 June 2018: Human fear conditioning has been described to follow classical reinforcement learning rules. In a new article, Athina Tzovara uses PsPM to recover ANS input into sweat-gland (SCR) and pupil system during fear conditioning. Rather than by classic RL models, ANS activity is best explained by a probabilistic learning model that accounts for uncertainty in the threat (US) estimation. Furthermore, SCR and pupil map onto different learning quantities: pupil size reflects estimate US probability, but SCR reflects a combination of this and the uncertainty of the estimate (Tzovara, Korn & Bach, PLOS Computational Biology, 2018).
14 June 2018: University of Zurich funds a 3-year Clinical Research Priority Program (CRPP) “Synapse & Trauma” with 1.75 MCHF to look into synaptic plasticity interventions for treatment of trauma memory. PIs are Dominik Bach, Steven Brown, Shiva Tyagarajan, Birgit Kleim. We will be hiring 6 PhD and MD/PhD students – more information here.
16 May 2018: Psychophysiological modelling is an emerging technique to analyse peripheral physiology in behavioural research (SCR, ECG, respiration, pupil, breathing, EMG, …). A new review now summarises the theoretical and statistical background, as well as all methods that have been developed by ourselves and other groups (Bach et al., Psychophysiology, 2018).
06 April 2018: PsPM 4.0.2 is released with further minor bug fixes.
09 March 2018: Giuseppe Castegnetti successfully defends his PhD thesis. Congratulations!
07 March 2018: We are running a PsPM workshop a the Meeting of the German Psychological Society/Section Biological Psychology (Psychologie & Gehirn). Information and registration can be found here.
23 February 2018: PsPM 4.0.1 is released with minor bug fixes.
27 December 2017: Survival-relevant decisions include avoiding starvation, and this mandates planning to maintain homeostasis across extended time horizons. In a new study in Nature Communications, Christoph Korn shows how such planning in humans combines a normatively optimal strategy with a myopic heuristic, and how discrepancies between these two control strategies are being processed neurally (Korn & Bach, Nature Communications, 2018).
04 December 2017: Matthias Staib successfully defends his PhD thesis. Congratulations!
26 November 2017: PsPM 4.0 released – including startle eye blink EMG modelling and pre-processing, and many improvements for data import and pre-processing. Thanks to everybody involved, and in particular Tobias Moser! Get the software here.
03 November 2017: Learning to predict threat requires amygdala plasticity. Sensory cortices can also be crucially required, but their role in fear acquisition remains unclear. In a recent study in Neuroimage, PhD student Matthias Staib demonstrates that Heschl’s Gyrus, including A1, represents threat predictions during fear conditioning, equally for simple and complex auditory CS. Strikingly, the representations of CS+ and CS-, respectively, are similar for simple and complex sounds, and thus invariant from the actual sound properties, likely ruling out receptive field plasticity as underlying mechanism (Staib & Bach, Neuroimage, 2017).
03 August 2017: Model-based analysis of skin conductance responses (SCR) relies on assumptions on the mapping from sudomotor nerve activity (SNA) to SCR; all existing approaches model this as a linear time-invariant (LTI) system. Together with collaborating physiologists Barbara Namer and Mikael Elam, Samuel Gerster uses intraneural recording and stimulation techniques to investigates under what conditions these assumptions are met. Indeed, when stimulation frequency is below 0.6 Hz, more than 90% of signal variability is explained under an LTI model (Gerster S, Namer B, Elam M, Bach DR, Psychophysiology 2017).
05 May 2017: Hippocampal oscillations are frequently reported in rodent approach-avoidance conflict tests of anxiety, but their expression and function in humans is not understood. In a new paper by PhD student Saurabh Khemka, we use MEG to show that hippocampal gamma power relates to learned threat probabilities under human approach-avoidance conflict. Gamma power is theta-modulated, and the hippocampus synchronises with prefrontal cortex in theta band (Khemka S, Barnes G, Dolan RJ, Bach DR, Journal of Neuroscience 2017).
28 April 2017: Amygdala-thalamus and amygdala-cortex connections are crucial for many cognitive operations, but our knowledge on these often comes from non-human research. In a new paper by Aslan Abivardi & Dominik Bach, we provide detailed quantitative in vivo analyses of white-matter connectivity between amygdala and thalamus subnuclei as well as cortical parcellations (Abivardi A & Bach DR, Human Brain Mapping 2017). A probabilistic atlas of these connections is available online here.
04 April 2017: Extracellular matrix (ECM) proteins may play a fundamental role for memory (LTP) formation, in vitro research suggests. Yet, there is little evidence from living animals, non-human or human. Strikingly, the simple antibiotic doxycycline inhibits matrix metalloproteinase (MMP) 9, which is critical for LTP, and doxycycline has been used to treat ECM disease outside the brain for at least a decade. This made it possible to test in humans to assess the impact of this MMP-9 inhibitor on fear conditioning. In a study published today, we find that a single dose of 200 mg doxycycline, ingested before fear acquisition, reduces fear retention 1 week later by around 60%, as indexed by fear-potentiated startle. This makes the drug potentially interesting for prevention or treatment of posttraumatic stress disorder (PTSD) (Bach DR, Tzovara A, Vunder J, Molecular Psychiatry 2017).
31 March 2017: Emotions have fascinated philosophers and scientists for millennia; yet there is even little consensus on what phenomena they encompass, let alone on their constituent psychological and neural mechanisms. In an opinion article for Nature Reviews Neuroscience, Dominik Bach and Peter Dayan build on decision theory to analyse emotions and reconcile diverging theories (Bach DR & Dayan P, Nature Reviews Neuroscience 2017)
03 February 2017: During anticipation of a probabilistic reward, where and how are statistics of the reward distribution computed? In our latest paper, we use MEG to address the temporal evolution of this encoding, both for expected reward and its variability. Beyond regions previously known to encode such statistics (such as OFC), we find a surprisingly early and robust encoding in visual and polymodal parietal areas, unexplained by visual features of the predictive stimuli (Bach DR, Symmonds M, Barnes G, Dolan RJ, in press, Journal of Neuroscience).
02 February 2017: Approach/avoidance conflict has been proposed as experimental model of human anxiety-like behaviour, and is sensitive to hippocampus lesions as in animals. In a new paper, Christoph Korn and colleagues show that this model is also sensitive to the anxiolytic drug lorazepam, thus highlighting the validity of the set up. Furthermore, by investigating two rare patients with Urbach-Wiethe disease, they find that selective amygdala lesions and hippocampus have a similar impact on the game, acting like a strong anxiolytic (Korn CK, Vunder J, Miro J, Fuentemilla L, Hurlemann R, Bach DR, in press, Biological Psychiatry).
19 January 2017: For us, 2016 was the year of Psychophysiological Modelling – with 7 research papers on methods & models development. In 2017, we will demonstrate how these methods (and our ethobehavioural computer games) can be used to tackle neuroscience questions.