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Ronny Redlich

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3 papers

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YNIMG Journal 2025 Journal Article

Divergent neural correlates of intolerance of uncertainty subdimensions: Insights from multimodal analyses of reward processing

Antonia Küttner
Esther Zwiky
Philine König
Konrad Schöniger
Robin Kamrla
Gina Sophie Scheiwe
Lara Fleischer
Julia Andreev

BACKGROUND: Intolerance of uncertainty (IU) is a transdiagnostic factor in mental disorders, affecting emotional, cognitive, and behavioral functioning. While IU influences the processing of uncertain rewards, analyses of its distinct subdimensions and their associations with different reward modalities remain limited. METHODS: Functional and structural magnetic resonance imaging (MRI) scans were acquired from 243 adult participants (m/f: 89/154). During functional MRI, participants completed a monetary reward paradigm involving both positive and negative reward feedback. Associations between brain function and structure and IU subdimensions prospective IU, inhibitory IU and burden due to IU were examined at the whole-brain level and within the bilateral insula and nucleus accumbens (NAcc). RESULTS: = 0.029). CONCLUSIONS: Our analyses provide evidence that IU dimensions are differentially associated with neural reward-related processing and brain structure, reinforcing the importance of conceptualizing IU as a multifaceted construct. The most salient associations were observed for burden due to IU, which reflects affective distress in response to uncertainty, emphasizing the relevance of emotional experience in IU.

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YNICL Journal 2020 Journal Article

Electroconvulsive therapy modulates grey matter increase in a hub of an affect processing network

Julia A. Camilleri
Felix Hoffstaedter
Maxim Zavorotny
Rebecca Zöllner
Robert Christian Wolf
Philipp Thomann
Ronny Redlich
Nils Opel

A growing number of recent studies has suggested that the neuroplastic effects of electroconvulsive therapy (ECT) might be prominent enough to be detected through changes of regional gray matter volumes (GMV) during the course of the treatment. Given that ECT patients are difficult to recruit for imaging studies, most publications, however, report only on small samples. Addressing this challenge, we here report results of a structural imaging study on ECT patients that pooled patients from five German sites. Whole-brain voxel-based morphometry (VBM) analysis was performed to detect structural differences in 85 patients with unipolar depression before and after ECT, when compared to 86 healthy controls. Both task-independent and task-dependent physiological whole-brain functional connectivity patterns of these regions were modeled using additional data from healthy subjects. All emerging regions were additionally functionally characterized using the BrainMap database. Our VBM analysis detected a significant increase of GMV in the right hippocampus/amygdala region in patients after ECT compared to healthy controls. In healthy subjects this region was found to be enrolled in a network associated with emotional processing and memory. A region in the left fusiform gyrus was additionally found to have higher GMV in controls when compared with patients at baseline. This region showed minor changes after ECT. Our data points to a GMV increase in patients post ECT in regions that seem to constitute a hub of an emotion processing network. This appears as a plausible antidepressant mechanism and could explain the efficacy of ECT not only in the treatment of unipolar depression, but also of affective symptoms across heterogeneous disorders.

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YNICL Journal 2017 Journal Article

The Global ECT-MRI Research Collaboration (GEMRIC): Establishing a multi-site investigation of the neural mechanisms underlying response to electroconvulsive therapy

Leif Oltedal
Hauke Bartsch
Ole Johan Evjenth Sørhaug
Ute Kessler
Christopher Abbott
Annemieke Dols
Max L Stek
Lars Ersland

Major depression, currently the world's primary cause of disability, leads to profound personal suffering and increased risk of suicide. Unfortunately, the success of antidepressant treatment varies amongst individuals and can take weeks to months in those who respond. Electroconvulsive therapy (ECT), generally prescribed for the most severely depressed and when standard treatments fail, produces a more rapid response and remains the most effective intervention for severe depression. Exploring the neurobiological effects of ECT is thus an ideal approach to better understand the mechanisms of successful therapeutic response. Though several recent neuroimaging studies show structural and functional changes associated with ECT, not all brain changes associate with clinical outcome. Larger studies that can address individual differences in clinical and treatment parameters may better target biological factors relating to or predictive of ECT-related therapeutic response. We have thus formed the Global ECT-MRI Research Collaboration (GEMRIC) that aims to combine longitudinal neuroimaging as well as clinical, behavioral and other physiological data across multiple independent sites. Here, we summarize the ECT sample characteristics from currently participating sites, and the common data-repository and standardized image analysis pipeline developed for this initiative. This includes data harmonization across sites and MRI platforms, and a method for obtaining unbiased estimates of structural change based on longitudinal measurements with serial MRI scans. The optimized analysis pipeline, together with the large and heterogeneous combined GEMRIC dataset, will provide new opportunities to elucidate the mechanisms of ECT response and the factors mediating and predictive of clinical outcomes, which may ultimately lead to more effective personalized treatment approaches.

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