From 3f32e959f25aa6eb470cacf66f3aed1a299f07fd Mon Sep 17 00:00:00 2001 From: Forgejo Actions Date: Fri, 26 Jun 2026 07:07:00 +0000 Subject: [PATCH 1/8] Auto-update publications --- .../Hanke_etal_Zenodo_2026_06_07.md | 57 +++++++++++++++++++ 1 file changed, 57 insertions(+) create mode 100644 content/publications/Hanke_etal_Zenodo_2026_06_07.md diff --git a/content/publications/Hanke_etal_Zenodo_2026_06_07.md b/content/publications/Hanke_etal_Zenodo_2026_06_07.md new file mode 100644 index 00000000..37d08a2b --- /dev/null +++ b/content/publications/Hanke_etal_Zenodo_2026_06_07.md @@ -0,0 +1,57 @@ +--- +contributors: +- michael-hanke +- stephan-heunis +date: '2026-06-07' +external_url: https://doi.org/10.5281/zenodo.20583435 +layout: publication +params: + licenses: + - CC-BY-4.0 +projects: +- q02 +title: 'Lab in a box: A build-your- own-open-lab software toolkit' +topics: +- rdm + +--- + +Over the past two years, our team has been working on an interoperable software toolstack that is open source, self-hosted, and covers basic relevant needs of a computational neuroscience lab.Notably, a number of software solutions came into existance or were deployed or further developed thanks to interactions of different software communities during RDM workshops or the distribits conference for distributed data management technologies (distribits.live).Our objective is to design an approach that allows storing data of arbitrary size, flexible semantic meta data, and the relations between these data; and to provide ways to query those relations and access the underlying data, as well as exposing selected data for websites, knowledge bases, or data catalogs.The system components are either fully compatible or integrated with the DataLad (Halchenko et al., 2021) ecosystem for data management.At the core of the stack, we have developed the following software components: + + + +Forgejo-aneksajo[1]: A lightweight collaboration hub for code and data thanks to native git-annex support. It has a comparable feature set to GitHub (CI/CD, private versus public repositories, container registry, …), but allows further customization (including, for example, nii-vue integrations for DICOM and Nifti previews, self-hosted runners for CI/CD actions, self-hosted container registries, …). + +Shacl-vue[2] and dumpthings[3]: The front- and backend for a metadata annotation stack, tuned for flexibly and user-friendly collecting, curating, storing, and quering metadata. + +datalad-concepts[4]: A set of pragmatic meta data schemas that enable alignment with arbitrary vocabularies. The schemas feed directly into the metadata editor, and can also be easily extended. + + +In addition, a set of existing open source softwares complements the stack:Hugo-based website scaffolds can be bootstrapped from or extended with meta data from the meta data stack.Hedgedoc, with authentication via a forgejo-annexajo hub, constitutes a feature-rich collaborative editor.And a CalDAV-based calendar and task service provides custom calendars and shared todo lists.While the components are all standalone and can be deployed individually, they are tightly integrated and interopable, enabling additional usecases when combined.For example, the metadata annotation stack gains permission management and document upload routines when used together with forgejo-aneksajo.In addition, the system is an optimal fit around the DataLad tool for data versioning and publication.Importantly, the deployment for each service is automated using pyinfra[5] to make initial setup, configuration and maintenance effortless, even for scientists without experience in IT administration. In conclusion, we have created a lab-in-a-box toolkit with self-hostable, open source software solutions for the digital service needs of an open neuroscience lab.All resources are openly available and can be found at https://hub.psychoinformatics.de/lab-in-a-box/liab-deploymentsThe stack strengthens the digital sovereignty and resilience by replacing commercial services whose available hinges on for-profit companies and that can be vulnerable to political or technical instability.Successful roll-out in different neuroscientific contexts have proven its initial utility, and ensure continuous improvement through co-development and user feedback. + +  + + + +https://codeberg.org/forgejo-aneksajo/forgejo-aneksajo ↩︎ + + + +https://github.com/psychoinformatics-de/shacl-vue ↩︎ + + + + +https://github.com/christian-monch/dump-things-server ↩︎ + + + + +https://concepts.datalad.org/ ↩︎ + + + + +https://hub.datalad.org/infra/deployments ↩︎ + +Hanke, M., Heunis, S., Mönch, C., Waite, A., Hariharapura Shivashankar, V., Waite, L., Wagner, A. S., & Riße, M. (2026). Lab in a box: A build-your- own-open-lab software toolkit. Zenodo. https://doi.org/10.5281/ZENODO.20583435 -- 2.52.0 From 36914fe202b8a96fc29e8795265d7762e20c7f4c Mon Sep 17 00:00:00 2001 From: Forgejo Actions Date: Tue, 30 Jun 2026 05:15:53 +0000 Subject: [PATCH 2/8] Auto-update publications --- ...occaro_etal_Psychiatry_Research_1997_12.md | 20 +++++++++++++++++++ 1 file changed, 20 insertions(+) create mode 100644 content/publications/Coccaro_etal_Psychiatry_Research_1997_12.md diff --git a/content/publications/Coccaro_etal_Psychiatry_Research_1997_12.md b/content/publications/Coccaro_etal_Psychiatry_Research_1997_12.md new file mode 100644 index 00000000..1478106f --- /dev/null +++ b/content/publications/Coccaro_etal_Psychiatry_Research_1997_12.md @@ -0,0 +1,20 @@ +--- +contributors: [] +date: '1997-12-05' +external_url: https://doi.org/10.1016/S0165-1781(97)00119-4 +layout: publication +params: + licenses: [] +projects: [] +title: 'Assessment of life history of aggression: development and psychometric characteristics' +topics: +- aggressive-behavior +- antisocial-personality-disorder +- borderline-personality-disorder + +--- + +The Life History of Aggression (LHA) assessment was administered to up to 252 subjects. In addition to a total LHA score, subscale scores for Aggression, Social Consequences and Antisocial Behavior, and Self-directed Aggression were calculated. Test-retest stability, interrater agreement, and internal consistency reliability were excellent both for the LHA Total score and the LHA Aggression subscore. There were moderately strong correlations between these scores and both self-reports of aggressive tendency (Buss-Durkee Hostility Inventory: n = 214) and recent overt aggression (Overt Aggression Scale-Modified for Out-patients: n = 61). LHA Total scores were highest among subjects with Antisocial or Borderline Personality Disorder. These results support the use of the LHA assessment, and especially the LHA Aggression subscore, as a measure of life history of aggressive behavior. + +Coccaro, E. F., Berman, M. E., & Kavoussi, R. J. (1997). Assessment of life history of aggression: development and psychometric characteristics. Psychiatry Research, 73(3), 147–157. https://doi.org/10.1016/s0165-1781(97)00119-4 + -- 2.52.0 From 3f0a08efbbe2566f9676eeb98918c5614690b101 Mon Sep 17 00:00:00 2001 From: Forgejo Actions Date: Thu, 2 Jul 2026 03:01:29 +0000 Subject: [PATCH 3/8] chore: auto-generate content from metadata --- content/contributors/michael-hanke/portrait.webp | 1 + 1 file changed, 1 insertion(+) create mode 100644 content/contributors/michael-hanke/portrait.webp diff --git a/content/contributors/michael-hanke/portrait.webp b/content/contributors/michael-hanke/portrait.webp new file mode 100644 index 00000000..d4a78ef4 --- /dev/null +++ b/content/contributors/michael-hanke/portrait.webp @@ -0,0 +1 @@ +/annex/objects/VURL--https&c%%hub.trr379.de%git-annex-8e1f6dc5c07b656cb8c364a999d5ed91 -- 2.52.0 From 5d8571138b4fd8dbce266fe06f3eac8db42bed7a Mon Sep 17 00:00:00 2001 From: Forgejo Actions Date: Thu, 2 Jul 2026 05:07:01 +0000 Subject: [PATCH 4/8] Auto-update contributors --- content/contributors/michael-hanke/_index.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/content/contributors/michael-hanke/_index.md b/content/contributors/michael-hanke/_index.md index 0429859e..3f775592 100644 --- a/content/contributors/michael-hanke/_index.md +++ b/content/contributors/michael-hanke/_index.md @@ -11,7 +11,7 @@ params: orcid: 0000-0001-6398-6370 name-title: Prof. Dr. sortkey: Hanke;Michael;Prof. Dr. - affiliation: Heinrich Heine University Düsseldorf; Forschungszentrum Jülich + affiliation: Forschungszentrum Jülich; Heinrich Heine University Düsseldorf active: true layout: contributor --- @@ -19,5 +19,5 @@ layout: contributor Michael Hanke is a professor at the Heinrich Heine University Düsseldorf, and head of the Psychoinformatics group in the Institute for Neuroscience and Medicine (INM-7) at the Forschungszentrum Jülich. He has co-created several -neuroinformatics software projects, among them the NeuroDebian, PyMVPA, and +neuroinformatics soft ware projects, among them the NeuroDebian, PyMVPA, and DataLad. \ No newline at end of file -- 2.52.0 From 6031d798b0c8093c6e5078244e523aa00d51f6ec Mon Sep 17 00:00:00 2001 From: Forgejo Actions Date: Thu, 2 Jul 2026 05:15:59 +0000 Subject: [PATCH 5/8] Auto-update publications --- .../1d83a26e43a9b7cedb556d5f841d8b46.md | 17 +++++++++ .../8037201f34eb7b0805a9f9bdf0091877.md | 2 + .../8a59d4dc28412b877bffc2bcbeb60e56.md | 37 +++++++++++++++++++ .../Backhaus_etal_Research_2026_03_06.md | 20 ++++++++++ .../Gramegna_etal_InReview_2026_05_19.md | 19 ++++++++++ .../Halchenko_etal_JOSS_2021_07_01.md | 19 ++++++++++ ...Review_of_General_Psychology_2026_01_16.md | 2 +- .../Li_etal_Brain_Struct_Funct_2025_01_15.md | 21 +++++++++++ .../Sturm_etal_InReview_2026_04_14.md | 19 ++++++++++ 9 files changed, 155 insertions(+), 1 deletion(-) create mode 100644 content/publications/1d83a26e43a9b7cedb556d5f841d8b46.md create mode 100644 content/publications/8a59d4dc28412b877bffc2bcbeb60e56.md create mode 100644 content/publications/Backhaus_etal_Research_2026_03_06.md create mode 100644 content/publications/Gramegna_etal_InReview_2026_05_19.md create mode 100644 content/publications/Halchenko_etal_JOSS_2021_07_01.md create mode 100644 content/publications/Li_etal_Brain_Struct_Funct_2025_01_15.md create mode 100644 content/publications/Sturm_etal_InReview_2026_04_14.md diff --git a/content/publications/1d83a26e43a9b7cedb556d5f841d8b46.md b/content/publications/1d83a26e43a9b7cedb556d5f841d8b46.md new file mode 100644 index 00000000..2f8ff2ed --- /dev/null +++ b/content/publications/1d83a26e43a9b7cedb556d5f841d8b46.md @@ -0,0 +1,17 @@ +--- +contributors: [] +date: null +external_url: https://doi.org/doi.org/10.3389/frcha.2026.1765690 +layout: publication +params: + licenses: [] +projects: +- b02 +title: 'The long-term impact of adverse childhood experiences on externalizing aggressiveness: + sensitive periods during childhood and adolescence' +topics: +- aggressive-behavior + +--- + +The association of adverse childhood experiences (ACEs) with the perpetration of aggressive behavior across the lifespan has repeatedly been demonstrated. However, whereas age-specific impacts of ACEs on neural and psychological development are discussed, little is known about sensitive periods during childhood and adolescence in which ACEs may exert the most severe effects on an individual's propensity for aggression. Thus, the present study retrospectively assessed ACEs during early childhood (up to 5 years), late childhood (6–11 years), and adolescence (12 years and above) in 204 adults and examined age-dependent relations to current externalizing aggressiveness. Although the general ACE-aggression link could be replicated, no clear evidence emerged for age-specific impacts. While the total ACE burden was highest during adolescence and only ACEs during adolescence were associated with increased adult aggressiveness, the strengths of the relationships between ACEs and aggressiveness did not differ significantly depending on the examined age groups. Nevertheless, our results underscore the need for future research to implement more sophisticated age-sensitive approaches to examine the association of ACEs with aggressive behavior as an important basis for the design of promising prevention and intervention measures. diff --git a/content/publications/8037201f34eb7b0805a9f9bdf0091877.md b/content/publications/8037201f34eb7b0805a9f9bdf0091877.md index c13e0895..75a4c85a 100644 --- a/content/publications/8037201f34eb7b0805a9f9bdf0091877.md +++ b/content/publications/8037201f34eb7b0805a9f9bdf0091877.md @@ -11,3 +11,5 @@ title: 'The Reactive-Proactive Aggression Questionnaire: Differential Correlates topics: [] --- + +This study reports the development of the Reactive–Proactive Aggression Questionnaire (RPQ), and the differential correlates of these two forms of aggression. Antisocial, psychosocial and personality measures were obtained at ages 7 and 16 years in schoolboys, while the RPQ was administered to 334 of the boys at age 16 years. Confirmatory factor analysis indicated a significant fit for a two-factor proactive–reactive model that replicated from one independent subsample to another. Proactive aggression was uniquely characterized at age 7 by initiation of fights, strong-arm tactics, delinquency, poor school motivation, poor peer relationships, single-parent status, psychosocial adversity, substance-abusing parents, and hyperactivity, and at age 16 by a psychopathic personality, blunted affect, delinquency, and serious violent offending. Reactive aggression was uniquely characterized at age 16 by impulsivity, hostility, social anxiety, lack of close friends, unusual perceptual experiences, and ideas of reference. Findings confirm and extend the differential correlates of proactive–reactive aggression, and demonstrate that this brief but reliable and valid self-report instrument can be used to assess proactive and reactive aggression in child and adolescent samples. Aggr. Behav. 32:159–171, 2006. © 2006 Wiley-Liss, Inc. diff --git a/content/publications/8a59d4dc28412b877bffc2bcbeb60e56.md b/content/publications/8a59d4dc28412b877bffc2bcbeb60e56.md new file mode 100644 index 00000000..d8848213 --- /dev/null +++ b/content/publications/8a59d4dc28412b877bffc2bcbeb60e56.md @@ -0,0 +1,37 @@ +--- +contributors: [] +date: '2025-05-07' +external_url: https://doi.org/10.23668/psycharchives.16330 +layout: publication +params: + licenses: [] +projects: [] +title: Neural, behavioral, and speech indicators of mood-congruent bias in major depressive + disorder +topics: +- dfg-206-09 + +--- + +Aim: This study aims to explore the neural, behavioral, and speech indicators of mood- +congruent bias in Major Depressive Disorder (MDD), investigating the relationship between +emotional processing biases and cognitive control deficits in MDD. +Method: Using a novel video paradigm during fMRI, facial expressions (happy/sad) were +subliminally presented (16.7 ms) congruent or incongruent with video content (happy/sad) in a +large sample (N = 126; MDD: n = 60, Control: n = 66). Psychological testing and speech +recordings during a storytelling task of positive and negative life events were conducted outside +the scanner. +Results: During dynamic emotional cues, faster and more accurate detection was apparent when +the emotion of the video content and the subliminal prime expression were congruent. Patients +exhibited reduced task performance (subjective ratings and reaction times) compared to +controls. Reduced accuracy was found in MDD particularly when happy videos were +interrupted by a sad primer. Neuroimaging showed increased activation in the right inferior and +middle occipital and temporal gyri. An interaction between speech features and psychological +measures was not moderated by the group. +Conclusion: Neuroimaging reflects compensatory mechanisms in MDD, indicating increased +cognitive effort in processing emotional content. Multimodal evidence highlights the +coexistence and mutual contribution of emotional and cognitive mechanisms, which together +underscore maladaptive patterns that may exacerbate mood-congruent biases and the +persistence and intensity of depressive symptoms. + +Schräder, J., Sieberg, R., Menne, F., Dörr, F., Tröger, J., Habel, U., König, A., & Wagels, L. (2025). Neural, Behavioral, and Speech Indicators of Mood-Congruent Bias in Major Depressive Disorder. PsychArchives. https://doi.org/10.23668/PSYCHARCHIVES.16330 diff --git a/content/publications/Backhaus_etal_Research_2026_03_06.md b/content/publications/Backhaus_etal_Research_2026_03_06.md new file mode 100644 index 00000000..a2a060d0 --- /dev/null +++ b/content/publications/Backhaus_etal_Research_2026_03_06.md @@ -0,0 +1,20 @@ +--- +contributors: [] +date: '2026-03-06' +external_url: https://doi.org/10.34133/research.1215 +layout: publication +params: + licenses: [] +projects: +- b02 +- b02 +title: 'A translational neural network mechanism of resilience: top-down control and + plasticity of the visual cortex relates to resilient outcome and performance' +topics: [] + +--- + +To reduce mental disorder prevalence, the understanding of resilience to stress-related disorder and its neurobiological mechanisms has come into the focus of biomedical research to develop both biologically rooted prevention and innovative therapeutic approaches for stress-related disorder. While some resilience mechanisms have been exemplified on the molecular, cellular, and brain-regional level, evidence on the neural systems level is rather sparse. We present the first translational evidence of adaptive plasticity in visual microcircuits and top-down modulation onto the visual system as a neurobiological resilience mechanism at the neural systems level in both humans and mice. In humans, we demonstrate that this adaptive microcircuit plasticity is linked to interactions between neurocognitive domains—executive and perceptual—and between brain regions—frontal and occipital—in specific oscillatory frequencies (β band in frontal inferior frontal gyrus and γ band in occipital V2). Additionally, expanding upon prior resilience research, our findings offer further evidence that phenotypic resilience is associated not only with macro- and microcircuit plasticity but also with better performance in neurocognitive functions central to resilience, i.e., perceptual discrimination in mice and cognitive control in humans. In mice, using awake 2-photon calcium imaging, we observed distinct resilient and susceptible network phenotypes in mouse visual cortex. Resilient animals surpassed both susceptible animals and nonstressed controls in their ability to encode visual afferents. This suggests an improved performance supporting the concepts of posttraumatic growth and stress inoculation on a neurobiological level. Resilience at the neural systems level involves active, dynamic processes rather than being merely passive responses to stress and constitutes a first example that neural network states of resilience are metastable, self-stabilizing, and noncontinuous entities that could serve as a target for new neural network interventions for fostering resilience. + +Backhaus, H., Pinzuti, E., Altahini, S., Dietrich, A., Tsutsui, K.-I., Sasaki, T., Kitajo, K., Ruffini, N., Wierczeiko, A., Tevosian, M., Wibral, M., Stroh, A., & Tüscher, O. (2026). A translational neural network mechanism of resilience: top-down-control and plasticity of the visual cortex relates to resilient outcome and performance. Research. https://doi.org/10.34133/research.1215 + diff --git a/content/publications/Gramegna_etal_InReview_2026_05_19.md b/content/publications/Gramegna_etal_InReview_2026_05_19.md new file mode 100644 index 00000000..5416ee50 --- /dev/null +++ b/content/publications/Gramegna_etal_InReview_2026_05_19.md @@ -0,0 +1,19 @@ +--- +contributors: [] +date: '2026-05-19' +external_url: https://doi.org/10.21203/rs.3.rs-9402530/v1 +layout: publication +params: + licenses: [] +projects: [] +title: 'Altered resting-state functional connectivity in patients with alcohol use + disorder and first-degree relatives: a group independent component analysis' +topics: +- aggressive-behavior + +--- + +Alcohol use disorder (AUD) is associated with widespread functional changes across the brain, particularly within networks supporting executive control, attention, and self-referential processing. However, it remains unclear whether similar neural patterns are present in first-degree relatives (FDRs) of individuals with AUD, who have increased genetic and environmental risk to develop the disorder. We examined resting-state functional connectivity differences within large-scale brain networks among 19 AUD patients, 12 FDRs, and 24 healthy controls (HCs), and assessed associations with abstinence duration in AUD. Grey matter volume was also assessed using voxel-based morphometry. Compared with HCs, AUD patients showed increased connectivity within the frontoparietal (FPN) and default mode network (DMN). FDRs also exhibited altered FPN and DMN connectivity relative to HCs, suggesting a possible familial or exposure-related effect. Additionally, FDRs showed heightened precentral connectivity and reduced precuneus connectivity within the sensorimotor network (SMN). Within the AUD group, longer abstinence duration was associated with increased FPN connectivity and decreased connectivity within the salience (SN) and dorsal attention network (DAN), consistent with partial functional normalization. No significant group differences were observed in grey matter volume. Overall, these findings highlight both persistent and potentially reversible alterations in large-scale brain networks associated with chronic alcohol exposure. Identifying common network-level connectivity patterns in AUD patients and FDRs can inform our understanding of neural correlates relevant to vulnerability to alcohol-related disorders. + +Gramegna, C., Habel, U., Schmahl, C., & Weidler, C. (2026). Altered resting-state functional connectivity in patients with alcohol use disorder and first-degree relatives: a group independent component analysis. https://doi.org/10.21203/rs.3.rs-9402530/v1 + diff --git a/content/publications/Halchenko_etal_JOSS_2021_07_01.md b/content/publications/Halchenko_etal_JOSS_2021_07_01.md new file mode 100644 index 00000000..2b948db0 --- /dev/null +++ b/content/publications/Halchenko_etal_JOSS_2021_07_01.md @@ -0,0 +1,19 @@ +--- +contributors: +- michael-hanke +date: '2021-07-01' +external_url: https://doi.org/10.21105/joss.03262 +layout: publication +params: + licenses: [] +projects: [] +title: 'DataLad: distributed system for joint management of code, data, and their + relationship' +topics: [] + +--- + +DataLad is a Python-based tool for the joint management of code, data, and their relationship, built on top of a versatile system for data logistics (git-annex) and the most popular distributed version control system (Git). It adapts principles of open-source software development and distribution to address the technical challenges of data management, data sharing, and digital provenance collection across the life cycle of digital objects. DataLad aims to make data management as easy as managing code. It streamlines procedures to consume, publish, and update data, for data of any size or type, and to link them as precisely versioned, lightweight dependencies. DataLad helps to make science more reproducible and FAIR (Wilkinson et al., 2016). It can capture complete and actionable process provenance of data transformations to enable automatic re-computation. The DataLad project (datalad.org) delivers a completely open, pioneering platform for flexible decentralized research data management (RDM) (Hanke, Pestilli, et al., 2021). It features a Python and a command-line interface, an extensible architecture, and does not depend on any centralized services but facilitates interoperability with a plurality of existing tools and services. In order to maximize its utility and target audience, DataLad is available for all major operating systems, and can be integrated into established workflows and environments with minimal friction. + +Halchenko, Y., Meyer, K., Poldrack, B., Solanky, D., Wagner, A., Gors, J., MacFarlane, D., Pustina, D., Sochat, V., Ghosh, S., Mönch, C., Markiewicz, C., Waite, L., Shlyakhter, I., de la Vega, A., Hayashi, S., Häusler, C., Poline, J.-B., Kadelka, T., et al. (2021). DataLad: distributed system for joint management of code, data, and their relationship. Journal of Open Source Software, 6(63), 3262. https://doi.org/10.21105/joss.03262 + diff --git a/content/publications/Hernandez-Pena_etal_Review_of_General_Psychology_2026_01_16.md b/content/publications/Hernandez-Pena_etal_Review_of_General_Psychology_2026_01_16.md index 99e149ff..d79656fb 100644 --- a/content/publications/Hernandez-Pena_etal_Review_of_General_Psychology_2026_01_16.md +++ b/content/publications/Hernandez-Pena_etal_Review_of_General_Psychology_2026_01_16.md @@ -15,7 +15,7 @@ topics: [] --- - +Aggression is a complex behavior that is difficult to capture using traditional methods, such as questionnaires and lab-based aggression tasks. These methods present challenges due to social desirability bias and limitations in translating findings into real-world situations. In this review, we discuss how emerging technologies, including virtual reality, video games, hyperscanning, biosignal recording, ecological momentary assessment and social media analysis, offer improved construct and ecological validity and can contribute to the refinement of integrative theoretical models of aggression. We comprehensively address advantages (e.g., immersion, realistic simulation, real-time and context-sensitive data collection and interpersonal dynamics) and limitations of each technology compared to traditional methods and highlight remaining gaps in aggression research. Additionally, we examine aggressive behavior related to the emergence of new technologies in digital spaces, focusing particularly on cyberbullying and the metaverse. We also review machine learning approaches for detecting cyber-aggression on social media platforms. We propose shifting from static, individual-level assessments to dynamic, context-sensitive frameworks that capture aggression in real time, in more ecological settings and digital environments. This shift in operationalization holds the potential to advance theoretical understanding, guide future research and inform clinical and forensic interventions. Hernandez-Pena, L., Koch, J., Raine, A., & Wagels, L. (2026). Future Directions in Aggression Research: The Contribution of Technology-Integrated Operationalizations. Review of General Psychology, 30(2), 262–289. https://doi.org/10.1177/10892680251412856 diff --git a/content/publications/Li_etal_Brain_Struct_Funct_2025_01_15.md b/content/publications/Li_etal_Brain_Struct_Funct_2025_01_15.md new file mode 100644 index 00000000..1eb59637 --- /dev/null +++ b/content/publications/Li_etal_Brain_Struct_Funct_2025_01_15.md @@ -0,0 +1,21 @@ +--- +contributors: +- klaus-mathiak +date: '2025-01-15' +external_url: https://doi.org/10.1007/s00429-025-02891-y +layout: publication +params: + licenses: + - CC-BY-NC-ND-4.0 +projects: [] +title: Targeting aggression with prefrontal high-definition transcranial direct current + stimulation +topics: +- aggressive-behavior + +--- + +Heightened aggression is associated with behavioural and neural deficits in inhibitory control. Transcranial direct current stimulation (tDCS) shows promise in facilitating inhibitory control and reducing aggression. However, the mixed effects and widespread electric fields of tDCS warrant more precise stimulation methods. High-definition tDCS (HD-tDCS) may enhance focality to target the right inferior frontal gyrus (rIFG), a key region in inhibitory control. In a double-blind and sham-controlled study, we investigated behavioral and neural differences between anodal and sham HD-tDCS in a subsequent Taylor Aggression Paradigm (TAP). Anodal HD-tDCS was applied at 1.5 mA for 20 min over the rIFG. Reference electrodes were located at TP8, PZ, FC3, and FP1. 41 healthy male participants were randomly assigned to either anodal (19) or sham (22) HD-tDCS and completed the TAP during functional magnetic resonance imaging. Anodal HD-tDCS did not directly reduce aggression; however, the stimulation weakened the effect of provocation on aggressive behaviour. Imaging results indicated that anodal HD-tDCS was associated with a positive provocation-related increase of bilateral parietal lobule (IPL) activation. Taken together, behavioural and neuroimaging findings suggest that anodal rIFG stimulation may engage the inhibitory control network as reflected in reduced responsiveness to provocation and increased activation during provocation. + +Li, Y., Baqapuri, H. I., Keller, M., Wolter, S., Zhang, C., Cong, F., & Mathiak, K. (2025). Physiological fingerprinting of audiovisual warnings in assisted driving conditions: an investigation of fMRI and peripheral physiological indicators. Brain Structure and Function, 230(2). https://doi.org/10.1007/s00429-025-02891-y + diff --git a/content/publications/Sturm_etal_InReview_2026_04_14.md b/content/publications/Sturm_etal_InReview_2026_04_14.md new file mode 100644 index 00000000..a081a9a3 --- /dev/null +++ b/content/publications/Sturm_etal_InReview_2026_04_14.md @@ -0,0 +1,19 @@ +--- +contributors: [] +date: '2026-04-14' +external_url: https://doi.org/10.21203/rs.3.rs-8595091/v1 +layout: publication +params: + licenses: [] +projects: [] +title: Global metadata catalogue of youth cohorts with genetic and aggression-related + data +topics: +- aggressive-behavior + +--- + +Aggressive behavior in youth is partially heritable and clinically and socially important. Despite its importance, research is fragmented across disciplines and cohorts, limiting large-scale genetically informed analyses. Therefore, we systematically mapped existing cohorts that include measures of aggression and genetic data from participants under 18 years of age. We conducted a systematic search of PubMed using 5,400 automatically generated queries combining five controlled vocabularies (age, mental health, aggression, data type, study type). From 5,254 unique records (retrieved January 20, 2025), a large language model pipeline extracted explicitly named cohorts, followed by semi-automated alias deduplication. Human reviewers then screened 188 studies using standardized inclusion criteria: documented accessibility, available genetic data, sample size > 1,000, inclusion of minors < 18 years old, and validated aggression phenotypes. Forty-four cohorts met all criteria, representing ∼ 890,000 individuals worldwide. Technical validation assessed the reproducibility of the automated name extraction and inter-rater agreement. The catalog supports discovery of cohorts and facilitates future cross-cohort studies of aggression-related outcomes in youth. + +Sturm, M., Berg, L. M., Berg, I., Sarma, H., Hartmann, J., Girschik, D., Freitag, C. M., & Chiocchetti, A. G. (2026). 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