15 May 2020: Making decisions on probabilistic outcomes requires retrieval and integration of the possible outcomes. In a new study using magnetoencephalography, we let participants play a risky decision-making game and derived magnetic field patterns that discriminated the outcomes. We then decoded outcome-related brain activity during decision making and found sequential (alternating) outcome retrieval that was dependent on loss magnitude and predicted upcoming behaviour (Castegnetti et al., 2020, Nature Communications).
11 May 2020: Taking risks to obtain reward is important, and adolescence is the time to learn this balance. In a new paper, we looked at predictors of risky foraging in N = 781 people aged 14-24. We split the data into a discovery and hold-out sample, and pre-registered all hypotheses before accessing the holdout. Sex is the best predictor of performance and behaviour, with males earning 20% more than females, but not “surviving” less often in this computer game. Further independent (but smaller) impact of IQ, as well as self-reported cognitive complexity and daringness. No effect of anxiety, and surprisingly, of age and maturation. Notably, self-reported anxiety and daringness are uncorrelated in this sample. What may underly the large impact of sex? Our results are in keeping with a recent field study in Uber drivers that found males take bigger risk and consequently earn more. Certain features of our game and of the gig economy (e.g. no cooperation possible, single-shot payment) may disadvantage females. (Bach, Moutoussis et al. 2020, Nature Human Behaviour).
01 April 2020: Just in time for the upcoming workshop, PsPM version 4.3.0 is released with bugfixes and new features. Thanks to everybody involved, in particular Ivan Rojkov! Get the software here.
30 March 2020 COVID-19 update: All research involving participant visits has been paused at both sites due to the pandemic. All meetings and teachings have moved online. Planned PsPM courses at ESCAN and EMHFC have been cancelled by the organisers. Instead, we are offering a free live-online PsPM workshop from 06 April to 20 May 2020. More details on the PsPM website.
16 March 2020: A reminder/extinction procedure has been suggested as a protocol for editing unwanted aversive memories, but evidence from human replication studies is mixed. Most studies have used threat-conditioned SCR as a model system; those that used fear-potentiated startle found no effect of the manipulation. Here, former MSc student Josua Zimmermann measured threat-conditioned pupil size responses (PSR) and SCR, in N=71 participants, and finds no effect of the manipulation in either measure (Zimmermann & Bach 2020, Learning & Memory).
28 February 2020: We are running the next full PsPM workshop on 30.6.-01.07.2020 at ESCAN 2020 in Budapest. This 2-day workshop will include theoretical and practical sessions on eyetracking (pupillometry and gaze analysis), SCR, ECG, respiration and startle-eyeblink measurement. Training will be adapted to participant’s previous exposure to PsPM, SPM or Matlab. Participants are welcome to bring along specific questions on PsPM, or experiments that they are planning to analyse with PsPM.
24 February 2020: Psychophysiological Modelling (PsPM) is being developed with an eye on measurement of fear conditioning. In a new review, we summarise the background and requirements for measuring human fear conditioning, cover technical details of PsPM models used for this purpose, and what PsPM adds. It turns out that required sample sizes to achieve a given level of statistical power can differ up to a factor of three between different observables, and between PsPM and alternative methods (Bach & Melinscak 2020, Behaviour Research and Therapy).
24 January 2020: We welcome Jack Brookes who joined the UCL-based lab as a post doc and will be working on virtual reality serious games. Congratulations to Karita Ojala who successfully defended her PhD thesis at UZH this week!
17 January 2020: Using intuition to design informative experiments, which allow accurate statistical inferences, is challenging. This is especially true in fields where there has been a proliferation of increasingly complex theoretical models. The study of associative learning provides an example of such a field (e.g., see Tzovara et al. 2018). In a new paper, we propose for associative learning experiments to be algorithmically optimized. Through simulations we show that optimized experiments may provide substantially improved statistical inferences. Due to the generality of the simulation-based experimental design framework, the proposed approach may also be useful in other learning and decision making experimental domains (Melinscak & Bach 2020, PLOS Computational Biology).
12 December 2019: Christmas dinner in Zurich – this year enjoying Chinese food while commencing to wind down after a year’s hard work. We also welcomed our new study coordinator Aneta and administrative assistant Ilona who started with us in November.
4 November 2019: We migrated PsPM to GitHub and released version 4.2.1 – including various changes to increase ease of use, several bugfixes and new tests . Thanks to everybody involved, in particular Eshref Yozdemir! Get the software here.
09 October 2017: Classically, amygdala and thalamus are required to learn threat predictions, without a necessary role for cortex. However, some rodent research suggests that to discriminate threat-predicting cues from cues predicting safety, sensory cortex is required. We have recently shown that Heschl’s gyrus in human auditory cortex represents threat associations, over and above the physical difference between threat- and safety-predicting cues, both for physically simple (monophone) and complex (spatiotemporal patterns) sounds. Here, we replicate this finding for a different class of sounds without temporal discriminative features, and confirm it is restricted to primary auditory cortex within Heschl’s gyrus (Staib et al. 2019, Human Brain Mapping, in press). In ongoing work, we seek to establish whether these representations are causally required for threat learning.
17 September 2019: Last Wednesday, September 11th, our traditional Summer BBQ took place – this time together with our three partner labs (CRPP Synapse & Trauma). We spent a cheerful evening with colleagues and friends at the nearby Quartierhof Wynegg. Ahead of the official part of the evening we said goodbye to our PhD Student, Karita Ojala, who sadly leaves us after three years’ time as well as to Lena Rhonheimer, our Student Research Assistant for the past year. Thank you both for your commitment – it was a pleasure having you in our team! We wish you all the best for the future and a lot of success with your endeavours!
16 September 2019: PsPM 4.2.0 released – including new pupil preprocessing, pupil foreshortening error correction and QRS detection algorithms; performance optimizations to pupil data import functions; new tests, bugfixes and changes to the behaviour of some functions to make PsPM more uniform and easier to use. Thanks to everybody involved! Get the software here.
12 September 2019: MMP-9 inhibition appears to attenuate memory consolidation (see our previous paper: (Bach et al 2018, Molecular Psychiatry). It could also be a target for blocking reconsolidation. In a new paper, we tested this hypothesis in human threat conditioning. We find that doxycycline has no specific impact on a reminded cue, but confers a global reduction in extinction learning and threat learning beyond the clearance of the drug. This may point towards a more long-lasting impact of doxycycline treatment on memory plasticity (Bach et al. 2019b, Journal of Neuroscience).
02 September 2019: Approach-avoidance conflict behaviour requires anterior hippocampus, and in a range of tests also amygdala. Most of these tests require a number of individual actions, and which of these rely on hippocampus or amygdala is unclear. In a clinical lesion study together with our colleagues at the Charité Department of Neurology in Berlin, we show that human hippocampus lesions impair the decision to stay away from reward when danger is high, but leave swift escape from threat intact. Amygdala lesions, in contrast, do not impair the decision to stay away from report but markedly increase the vigour of escape from threat (Bach et al. 2019a, Journal of Neuroscience).
14 August 2019: Dominik Bach has accepted an appointment as Principal Research Fellow at the UCL Queen Square Institute of Neurology, University College London. He will be joining the Max-Planck/UCL Centre for Computational Psychiatry and Ageing Research, and the Wellcome Centre for Human Neuroimaging, as a Principal Investigator later in the year, while research activities continue in Zurich.
11 July 2019: Many ethological approach-avoidance conflict tests do not allow separating different action components. This impedes investigation whether they are under the same or dissociable neural control. We have previously developed a human computer game to separate action components (Bach 2015 PLOS CB). Here, our collaborators at Platrad build on this idea and present a novel 2-lever approach-avoidance conflict test for mice that separates decision to approach, approach latency, and approach vigour (Oberrauch et al., 2019, Psychopharmacology).
04 July 2019: Magnetoencephalography (MEG) measures the magnetic field emitted by the brain and allows reconstructing the underlying neural activity. For deep sources such as the amygdala, it has been unclear whether what appears as source activity is really coming from this source, or from nearby areas. In this new paper, Athina Tzovara and colleagues at UZH and UCL record high-precision MEG. They then show that the measured data can be better explained with reconstruction models that allow for sources in the amygdala than for models that do not. Furthermore, just moving this anatomical location by 3 mm made the explained variance drop decisively. This demonstrates the spatial precision of the method. They then analyse amygdala source data during threat conditioning and find a pattern that is rather different from what is commonly observed in short rodent experiments (Tzovara et al., 2019 Human Brain Mapping).
17 June 2019: PsPM 4.1.1 released – including new models and data processing methods, support for two new eye tracker formats, various improvements and bugfixes. Thanks to everybody involved! Get the software here.
4 June 2019: In this new article, the CRPP PIs Dominik Bach, Steven Brown, Birgit Kleim and Shiva Tyagarajan, review evidence for roles of the extracellular matrix in learning and memory, and in experience-dependent psychiatric conditions. They then suggest how control of the extracellular matrix could be leveraged for innovative treatments and discuss possible aetiological mechanisms of extracellular matrix alterations in psychiatric disorders. Swiss Medical Weekly, 149:w20060.
2 May 2019: In a new paper, Christoph Korn investigates how humans decide to forage under combined risk of starvation and predation in an virtual approach-avoidance conflict task (Korn & Bach, 2019, Nature Human Behaviour). He shows that participants rely both on predator probability, and on the normatively optimal policy. Predator probability was related to BOLD signals in hippocampus and amygdala. The optimal policy was related to medial prefrontal cortex.
23 April 2019: Human threat learning measures mostly rely on psychophysiological responses (e.g. SCR, respiration responses, ECG, pupillary responses…). In a newly published article, Yanfang Xia, Angelina Gurkina and Dominik Bach adapt an existing Pavlovian-to-Instrumental transfer (PIT) paradigm with modifications in reinforcers to demonstrate conditioned facilitation of formally unrelated instrumental avoidance behavior in humans. They also apply this PIT measure as an additional novel behavioral human threat learning measure (Xia, Gurkina & Bach, Learning & Memory, 2019).
27 March 2019: Launch of the CRPP Synapse & Trauma Website https://www.synapsetrauma.uzh.ch/en.html
26 March 2019: Professor Raffael Kalisch gives talk on the exciting topic of resilience at the Psychiatric Hospital Zurich: Resilience – it’s not what you think it is.