Jan Ernsting
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View article: MRI-derived estimation of biological aging in patients with affective disorders in a 9-year follow-up - a prospective marker of future recurrence
MRI-derived estimation of biological aging in patients with affective disorders in a 9-year follow-up - a prospective marker of future recurrence Open
We investigated whether the brain age gap (BAG)—the difference between chronological age and age estimated from structural MRI scans—is associated with long-term disease course in affective disorders, using a prospective nine-year follow-u…
View article: Toward Personalized Neuroscience: Evaluating Individual‐Level Information in Neural Mass Models
Toward Personalized Neuroscience: Evaluating Individual‐Level Information in Neural Mass Models Open
Macroscale brain modeling using neural mass models (NMMs) offers a framework for simulating human whole‐brain dynamics. These models are pivotal for investigating the brain as a complex dynamic system, exploring phenomena like bifurcations…
View article: Classification of major depressive disorder using vertex-wise brain sulcal depth, curvature, and thickness with a deep and a shallow learning model
Classification of major depressive disorder using vertex-wise brain sulcal depth, curvature, and thickness with a deep and a shallow learning model Open
Major depressive disorder (MDD) is a complex psychiatric disorder that affects the lives of hundreds of millions of individuals around the globe. Even today, researchers debate if morphological alterations in the brain are linked to MDD, l…
View article: OR27-04 Unraveling the Genetic Architecture of Male Fertility: A Population-Based GWAS of Testicular Volume Using Machine Learning-Based Segmentation
OR27-04 Unraveling the Genetic Architecture of Male Fertility: A Population-Based GWAS of Testicular Volume Using Machine Learning-Based Segmentation Open
Disclosure: P. Beeken: None. J. Ernsting: None. L. Ogoniak: None. J. Kockwelp: None. T. Hahn: None. B. Risse: None. A.S. Busch: None. Background: The genetic factors influencing male fertility remain elusive. While testicular volume closel…
View article: Towards population scale testis volume segmentation in DIXON MRI
Towards population scale testis volume segmentation in DIXON MRI Open
Testis size is known to be one of the main predictors of male fertility, usually assessed in clinical workup via palpation or imaging. Despite its potential, population-level evaluation of testicular volume using imaging remains underexplo…
View article: Soft Drink Consumption and Depression Mediated by Gut Microbiome Alterations
Soft Drink Consumption and Depression Mediated by Gut Microbiome Alterations Open
Importance Soft drink consumption is linked to negative physical and mental health outcomes, but its association with major depressive disorder (MDD) and the underlying mechanisms remains unclear. Objective To examine the association betwe…
View article: MRI-derived estimation of biological aging in patients with affective disorders in a 9-year follow-up - a prospective marker of future recurrence
MRI-derived estimation of biological aging in patients with affective disorders in a 9-year follow-up - a prospective marker of future recurrence Open
Background We investigated associations of the brain age gap (BAG), the difference between actual and estimated age derived from MRI scans, with disease course over nine years in patients with affective disorders in a long-term prospective…
View article: pyAKI—An open source solution to automated acute kidney injury classification
pyAKI—An open source solution to automated acute kidney injury classification Open
Objective Acute kidney injury (AKI) is a frequent complication in critically ill patients, affecting up to 50% of patients in the intensive care units. The lack of standardized and open-source tools for applying the Kidney Disease Improvin…
View article: Judged by your neighbors: Brain structural normativity profiles for large and heterogeneous samples
Judged by your neighbors: Brain structural normativity profiles for large and heterogeneous samples Open
The detection of norm deviations is fundamental to clinical decision making and impacts our ability to diagnose and treat diseases effectively. Current normative modeling approaches rely on generic comparisons and quantify deviations in re…
View article: Towards Population Scale Testis Volume Segmentation in DIXON MRI
Towards Population Scale Testis Volume Segmentation in DIXON MRI Open
Testis size is known to be one of the main predictors of male fertility, usually assessed in clinical workup via palpation or imaging. Despite its potential, population-level evaluation of testicular volume using imaging remains underexplo…
View article: deepmriprep: Voxel-based Morphometry (VBM) Preprocessing via Deep Neural Networks
deepmriprep: Voxel-based Morphometry (VBM) Preprocessing via Deep Neural Networks Open
Voxel-based Morphometry (VBM) has emerged as a powerful approach in neuroimaging research, utilized in over 7,000 studies since the year 2000. Using Magnetic Resonance Imaging (MRI) data, VBM assesses variations in the local density of bra…
View article: GateNet: A novel neural network architecture for automated flow cytometry gating
GateNet: A novel neural network architecture for automated flow cytometry gating Open
GateNet enables fully end-to-end automated gating in flow cytometry, overcoming the labor-intensive and error-prone nature of manual adjustments. The neural network achieves human-level performance on unseen samples and generalizes well to…
View article: Proceedings of the OHBM Brainhack 2022
Proceedings of the OHBM Brainhack 2022 Open
OHBM Brainhack 2022 took place in June 2022. The first hybrid OHBM hackathon, it had an in-person component taking place in Glasgow and three hubs around the globe to improve inclusivity and fit as many timezones as possible. In the buzzin…
View article: pyAKI -- An Open Source Solution to Automated KDIGO classification
pyAKI -- An Open Source Solution to Automated KDIGO classification Open
Acute Kidney Injury (AKI) is a frequent complication in critically ill patients, affecting up to 50% of patients in the intensive care units. The lack of standardized and open-source tools for applying the Kidney Disease Improving Global O…
View article: A Systematic Evaluation of Machine Learning–Based Biomarkers for Major Depressive Disorder
A Systematic Evaluation of Machine Learning–Based Biomarkers for Major Depressive Disorder Open
Importance Biological psychiatry aims to understand mental disorders in terms of altered neurobiological pathways. However, for one of the most prevalent and disabling mental disorders, major depressive disorder (MDD), no informative bioma…
View article: GateNet: A novel Neural Network Architecture for Automated Flow Cytometry Gating
GateNet: A novel Neural Network Architecture for Automated Flow Cytometry Gating Open
Flow cytometry is widely used to identify cell populations in patient-derived fluids such as peripheral blood (PB) or cerebrospinal fluid (CSF). While ubiquitous in research and clinical practice, flow cytometry requires gating, i.e. cell …
View article: Classification of Major Depressive Disorder Using Vertex-Wise Brain Sulcal Depth, Curvature, and Thickness with a Deep and a Shallow Learning Model
Classification of Major Depressive Disorder Using Vertex-Wise Brain Sulcal Depth, Curvature, and Thickness with a Deep and a Shallow Learning Model Open
Major depressive disorder (MDD) is a complex psychiatric disorder that affects the lives of hundreds of millions of individuals around the globe. Even today, researchers debate if morphological alterations in the brain are linked to MDD, l…
View article: Interrelated effects of age and parenthood on whole-brain controllability: protective effects of parenthood in mothers
Interrelated effects of age and parenthood on whole-brain controllability: protective effects of parenthood in mothers Open
Background Controllability is a measure of the brain’s ability to orchestrate neural activity which can be quantified in terms of properties of the brain’s network connectivity. Evidence from the literature suggests that aging can exert a …
View article: Deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks
Deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks Open
Brain extraction in magnetic resonance imaging (MRI) data is an important segmentation step in many neuroimaging preprocessing pipelines. Image segmentation is one of the research fields in which deep learning had the biggest impact in rec…
View article: PHOTONAI-Graph - A Python Toolbox for Graph Machine Learning
PHOTONAI-Graph - A Python Toolbox for Graph Machine Learning Open
Graph data is an omnipresent way to represent information in machine learning. Especially, in neuroscience research, data from Diffusion-Tensor Imaging (DTI) and functional Magnetic Resonance Imaging (fMRI) is commonly represented as graph…
View article: Cross-validation for the estimation of effect size generalizability in mass-univariate brain-wide association studies
Cross-validation for the estimation of effect size generalizability in mass-univariate brain-wide association studies Open
Introduction Statistical effect sizes are systematically overestimated in small samples, leading to poor generalizability and replicability of findings in all areas of research. Due to the large number of variables, this is particularly pr…
View article: A Systematic Evaluation of Machine Learning-based Biomarkers for Major Depressive Disorder across Modalities
A Systematic Evaluation of Machine Learning-based Biomarkers for Major Depressive Disorder across Modalities Open
Background Biological psychiatry aims to understand mental disorders in terms of altered neurobiological pathways. However, for one of the most prevalent and disabling mental disorders, Major Depressive Disorder (MDD), patients only margin…
View article: From Group-Differences to Single-Subject Probability: Conformal Prediction-based Uncertainty Estimation for Brain-Age Modeling
From Group-Differences to Single-Subject Probability: Conformal Prediction-based Uncertainty Estimation for Brain-Age Modeling Open
The brain-age gap is one of the most investigated risk markers for brain changes across disorders. While the field is progressing towards large-scale models, recently incorporating uncertainty estimates, no model to date provides the singl…
View article: Towards a network control theory of electroconvulsive therapy response
Towards a network control theory of electroconvulsive therapy response Open
Electroconvulsive Therapy (ECT) is arguably the most effective intervention for treatment-resistant depression. While large interindividual variability exists, a theory capable of explaining individual response to ECT remains elusive. To a…
View article: Quantifying Deviations of Brain Structure and Function in Major Depressive Disorder Across Neuroimaging Modalities
Quantifying Deviations of Brain Structure and Function in Major Depressive Disorder Across Neuroimaging Modalities Open
Results of this case-control study suggest that even for maximum univariate biological differences, deviations between patients with MDD and healthy controls were remarkably small, single-participant prediction was not possible, and simila…
View article: Interrelated effects of age and parenthood on whole-brain controllability: protective effects of parenthood in mothers
Interrelated effects of age and parenthood on whole-brain controllability: protective effects of parenthood in mothers Open
Background Controllability is a measure of the brain’s ability to orchestrate neural activity which can be quantified in terms of properties of the brain’s network connectivity. Evidence from the literature suggests that aging can exert a …