Arvid Lundervold
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View article: Brain Morphometry and Cognitive Features in the Prediction of Irritable Bowel Syndrome
Brain Morphometry and Cognitive Features in the Prediction of Irritable Bowel Syndrome Open
Background/Objectives: Irritable bowel syndrome (IBS) is a gut–brain disorder characterized by abdominal pain, altered bowel habits, and psychological distress. While brain–gut interactions are recognized in IBS pathophysiology, the relati…
View article: AI-generated and doctors' answers to health-related questions
AI-generated and doctors' answers to health-related questions Open
The answers generated by GPT-4 were rated as more empathetic, informative and helpful than the answers from doctors. This suggests that AI could serve as an aid to healthcare personnel by drafting good responses to health-related questions.
View article: Personalized prognosis & treatment using an optimal predictor machine: An example study on conversion from Mild Cognitive Impairment to Alzheimer's Disease
Personalized prognosis & treatment using an optimal predictor machine: An example study on conversion from Mild Cognitive Impairment to Alzheimer's Disease Open
The present work presents a statistically sound, rigorous, and model-free algorithm for use in personalized medicine. The algorithm is designed first to learn from a set of clinical data with relevant predictors and predictands, and then t…
View article: Spatial-Temporal Recurrence Patterns of Grade 4 Glioma Using Deep Learning Integrated mpMRI and Molecular Pathology: A Multi-Centre Longitudinal Study
Spatial-Temporal Recurrence Patterns of Grade 4 Glioma Using Deep Learning Integrated mpMRI and Molecular Pathology: A Multi-Centre Longitudinal Study Open
View article: Deep-learning segmentation of the substantia nigra from multiparametric MRI: Application to Parkinson’s disease
Deep-learning segmentation of the substantia nigra from multiparametric MRI: Application to Parkinson’s disease Open
Loss of dopaminergic neurons in the substantia nigra (SN) pars compacta (SNc) is a pathological hallmark of Parkinson’s disease (PD). This is accompanied by a reduction of the dopamine synthesis byproduct neuromelanin (NM), which can be de…
View article: Brain Morphometry and Cognitive Features in Prediction of Irritable Bowel Syndrome
Brain Morphometry and Cognitive Features in Prediction of Irritable Bowel Syndrome Open
Background/Objectives: Irritable bowel syndrome (IBS) is a gut-brain disorder characterized by abdominal pain, altered bowel habits, and psychological distress. While brain-gut interactions are recognized in IBS pathophysiology, the relati…
View article: Decoding IBS: a machine learning approach to psychological distress and gut-brain interaction
Decoding IBS: a machine learning approach to psychological distress and gut-brain interaction Open
View article: Fecal bacteria and short‐chain fatty acids in irritable bowel syndrome: Relations to subtype
Fecal bacteria and short‐chain fatty acids in irritable bowel syndrome: Relations to subtype Open
Background The relationship between gut microbiota and irritable bowel syndrome (IBS) subtype is unclear. We aimed to explore whether differences in fecal bacteria composition and short‐chain fatty acid (SCFA) levels were associated with s…
View article: Distinct Longitudinal Brain White Matter Microstructure Changes and Associated Polygenic Risk of Common Psychiatric Disorders and Alzheimer’s Disease in the UK Biobank
Distinct Longitudinal Brain White Matter Microstructure Changes and Associated Polygenic Risk of Common Psychiatric Disorders and Alzheimer’s Disease in the UK Biobank Open
View article: Brain asymmetries from mid- to late life and hemispheric brain age
Brain asymmetries from mid- to late life and hemispheric brain age Open
View article: Distinct longitudinal brain white matter microstructure changes and associated polygenic risk of common psychiatric disorders and Alzheimer’s disease in the UK Biobank
Distinct longitudinal brain white matter microstructure changes and associated polygenic risk of common psychiatric disorders and Alzheimer’s disease in the UK Biobank Open
During the course of adulthood and ageing, white matter (WM) structure and organisation are characterised by slow degradation processes such as demyelination and shrinkage. An acceleration of such ageing process has been linked to the deve…
View article: Cognitive function in patients with irritable bowel syndrome: impairment is common and only weakly correlated with depression/anxiety and severity of gastrointestinal symptoms
Cognitive function in patients with irritable bowel syndrome: impairment is common and only weakly correlated with depression/anxiety and severity of gastrointestinal symptoms Open
Cognitive and emotional function were more severely affected in patients with IBS than in HCs. The weak correlation between the two functional areas suggests that both should be assessed as part of a clinical examination of patients with I…
View article: Brain asymmetries from mid- to late life and hemispheric brain age
Brain asymmetries from mid- to late life and hemispheric brain age Open
The human brain demonstrates structural and functional asymmetries which have implications for ageing and mental and neurological disease development. We used a set of magnetic resonance imaging (MRI) metrics derived from structural and di…
View article: Bio-psycho-social factors’ associations with brain age: a large-scale UK Biobank diffusion study of 35,749 participants
Bio-psycho-social factors’ associations with brain age: a large-scale UK Biobank diffusion study of 35,749 participants Open
Brain age refers to age predicted by brain features. Brain age has previously been associated with various health and disease outcomes and suggested as a potential biomarker of general health. Few previous studies have systematically asses…
View article: Assessment of Self-Reported Executive Function in Patients with Irritable Bowel Syndrome Using a Machine-Learning Framework
Assessment of Self-Reported Executive Function in Patients with Irritable Bowel Syndrome Using a Machine-Learning Framework Open
Introduction: Irritable bowel syndrome (IBS) is characterized as a disorder of the gut–brain interaction (DGBI). Here, we explored the presence of problems related to executive function (EF) in patients with IBS and tested the relative imp…
View article: Brain‐wide associations between white matter and age highlight the role of fornix microstructure in brain ageing
Brain‐wide associations between white matter and age highlight the role of fornix microstructure in brain ageing Open
Unveiling the details of white matter (WM) maturation throughout ageing is a fundamental question for understanding the ageing brain. In an extensive comparison of brain age predictions and age‐associations of WM features from different di…
View article: A psychological symptom based machine learning model for clinical evaluation of irritable bowel syndrome
A psychological symptom based machine learning model for clinical evaluation of irritable bowel syndrome Open
Background: Irritable bowel syndrome (IBS) is a chronic functional gastrointestinal disorder characterized by recurrent abdominal pain associated with alterations in stool form and/or stool frequency. Co-morbidities such as anxiety, depres…
View article: Personalized prognosis & treatment using an optimal predictor machine: An example study on conversion from Mild Cognitive Impairment to Alzheimer's Disease
Personalized prognosis & treatment using an optimal predictor machine: An example study on conversion from Mild Cognitive Impairment to Alzheimer's Disease Open
The present work presents a statistically sound, rigorous, and model-free algorithm for use in personalized medicine. The algorithm is designed first to learn from a set of clinical data with relevant predictors and predictands, and then t…
View article: Personalized prognosis & treatment using an optimal predictor machine: An example study on conversion from Mild Cognitive Impairment to Alzheimer's Disease
Personalized prognosis & treatment using an optimal predictor machine: An example study on conversion from Mild Cognitive Impairment to Alzheimer's Disease Open
The present work presents a statistically sound, rigorous, and model-free algorithm for use in personalized medicine. The algorithm is designed first to learn from a set of clinical data with relevant predictors and predictands, and then t…
View article: Feasibility of deep learning-based tumor segmentation for target delineation and response assessment in grade-4 glioma using multi-parametric MRI
Feasibility of deep learning-based tumor segmentation for target delineation and response assessment in grade-4 glioma using multi-parametric MRI Open
Background Tumor burden assessment is essential for radiation therapy (RT), treatment response evaluation, and clinical decision-making. However, manual tumor delineation remains laborious and challenging due to radiological complexity. Th…
View article: Bio-psycho-social factors’ associations with brain age: a large-scale UK Biobank diffusion study of 35,749 participants
Bio-psycho-social factors’ associations with brain age: a large-scale UK Biobank diffusion study of 35,749 participants Open
Brain age refers to age predicted by brain features. Brain age has previously been associated with various health and disease outcomes and suggested as a potential biomarker of general health. Few previous studies have systematically asses…
View article: Brain-wide associations between white matter and age highlight the role of fornix microstructure in brain ageing
Brain-wide associations between white matter and age highlight the role of fornix microstructure in brain ageing Open
Unveiling the details of white matter (WM) maturation throughout ageing is a fundamental question for understanding the ageing brain. In an extensive comparison of brain age predictions and age- associations of WM features from different d…
View article: Gut bless you: The microbiota-gut-brain axis in irritable bowel syndrome
Gut bless you: The microbiota-gut-brain axis in irritable bowel syndrome Open
Irritable bowel syndrome (IBS) is a common clinical label for medically unexplained gastrointestinal symptoms, recently described as a disturbance of the microbiota-gut-brain axis. Despite decades of research, the pathophysiology of this h…
View article: Healthy Kidney Segmentation in the Dce-Mr Images Using a Convolutional Neural Network and Temporal Signal Characteristics
Healthy Kidney Segmentation in the Dce-Mr Images Using a Convolutional Neural Network and Temporal Signal Characteristics Open
Quantification of renal perfusion based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) requires determination of signal intensity time courses in the region of renal parenchyma. Thus, selection of voxels representing the…
View article: Pulmonary Nodule Classification in Lung Cancer from 3D Thoracic CT Scans Using fastai and MONAI.
Pulmonary Nodule Classification in Lung Cancer from 3D Thoracic CT Scans Using fastai and MONAI. Open
We construct a convolutional neural network to classify pulmonary nodules as malignant or benign in the context of lung cancer. To construct and train our model, we use our novel extension of the fastai deep learning framework to 3D medica…
View article: A predictive framework based on brain volume trajectories enabling early detection of Alzheimer's disease
A predictive framework based on brain volume trajectories enabling early detection of Alzheimer's disease Open
We present a framework for constructing predictive models of cognitive decline from longitudinal MRI examinations, based on mixed effects models and machine learning. We apply the framework to detect conversion from cognitively normal (CN)…
View article: 1q21.1 distal copy number variants are associated with cerebral and cognitive alterations in humans
1q21.1 distal copy number variants are associated with cerebral and cognitive alterations in humans Open
View article: 1q21.1 distal copy number variants are associated with cerebral and cognitive alterations in humans
1q21.1 distal copy number variants are associated with cerebral and cognitive alterations in humans Open
Low-frequency 1q21.1 distal deletion and duplication copy number variant (CNV) carriers are predisposed to multiple neurodevelopmental disorders including schizophrenia, autism and intellectual disability. Human carriers display a high pre…
View article: Automated segmentation of endometrial cancer on MR images using deep learning
Automated segmentation of endometrial cancer on MR images using deep learning Open
View article: Kidney Segmentation in Renal Magnetic Resonance Imaging - Current Status and Prospects
Kidney Segmentation in Renal Magnetic Resonance Imaging - Current Status and Prospects Open
Magnetic resonance imaging has achieved an increasingly important role in the clinical work-up of renal diseases such chronic kidney disease (CKD). A large panel of parameters have been proposed to diagnose CKD among them total kidney volu…