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Background and Purpose: Supervised deep learning is the state-of-the-art method for stroke lesion segmentation on NCCT. Supervised methods require manual lesion annotations for model development, while unsupervised deep learning methods such as generative adversarial networks do not. The aim of this study was to develop and evaluate a generative adversarial network to segment infarct and hemorrhagic stroke lesions on follow-up NCCT scans., Materials and Methods: Training data consisted of 820 patients with baseline and follow-up NCCT from 3 Dutch acute ischemic stroke trials. A generative adversarial network was optimized to transform a follow-up scan with a lesion to a generated baseline scan without a lesion by generating a difference map that was subtracted from the follow-up scan. The generated difference map was used to automatically extract lesion segmentations. Segmentation of primary hemorrhagic lesions, hemorrhagic transformation of ischemic stroke, and 24-hour and 1-week follow-up infarct lesions were evaluated relative to expert annotations with the Dice similarity coefficient, Bland-Altman analysis, and intraclass correlation coefficient., Results: The median Dice similarity coefficient was 0.31 (interquartile range, 0.08-0.59) and 0.59 (interquartile range, 0.29-0.74) for the 24-hour and 1-week infarct lesions, respectively. A much lower Dice similarity coefficient was measured for hemorrhagic transformation (median, 0.02; interquartile range, 0-0.14) and primary hemorrhage lesions (median, 0.08; interquartile range, 0.01-0.35). Predicted lesion volume and the intraclass correlation coefficient were good for the 24-hour (bias, 3 mL; limits of agreement, -64-59 mL; intraclass correlation coefficient, 0.83; 95% CI, 0.78-0.88) and excellent for the 1-week (bias, -4 m; limits of agreement,-66-58 mL; intraclass correlation coefficient, 0.90; 95% CI, 0.83-0.93) follow-up infarct lesions., Conclusions: An unsupervised generative adversarial network can be used to obtain automated infarct lesion segmentations with a moderate Dice similarity coefficient and good volumetric correspondence., (© 2022 by American Journal of Neuroradiology.)

In this paper, we propose the use of Recurrent Inference Machines (RIMs) to perform T 1 and T 2 mapping. The RIM is a neural network framework that learns an iterative inference process based on the signal model, similar to conventional statistical methods for quantitative MRI (QMRI), such as the Maximum Likelihood Estimator (MLE). This framework combines the advantages of both data-driven and model-based methods, and, we hypothesize, is a promising tool for QMRI. Previously, RIMs were used to solve linear inverse reconstruction problems. Here, we show that they can also be used to optimize non-linear problems and estimate relaxometry maps with high precision and accuracy. The developed RIM framework is evaluated in terms of accuracy and precision and compared to an MLE method and an implementation of the Residual Neural Network (ResNet). The results show that the RIM improves the quality of estimates compared to the other techniques in Monte Carlo experiments with simulated data, test-retest analysis of a system phantom, and in-vivo scans. Additionally, inference with the RIM is 150 times faster than the MLE, and robustness to (slight) variations of scanning parameters is demonstrated. Hence, the RIM is a promising and flexible method for QMRI. Coupled with an open-source training data generation tool, it presents a compelling alternative to previous methods., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 The Author(s). Published by Elsevier B.V. All rights reserved.)

Background: The ventral anterior limb of the internal capsule (vALIC) is a target for deep brain stimulation (DBS) in obsessive-compulsive disorder (OCD). Conventional surgical planning is based on anatomical landmarks., Objective/hypothesis: We hypothesized that treatment response depends on the location of the active DBS contacts with respect to individual white matter bundle trajectories. This study thus aimed to elucidate whether vALIC DBS can benefit from bundle-specific targeting., Methods: We performed tractography analysis of two fiber bundles, the anterior thalamic radiation (ATR) and the supero-lateral branch of the medial forebrain bundle (MFB), using diffusion-weighted magnetic resonance imaging (DWI) data. Twelve patients (10 females) who had received bilateral vALIC DBS for at least 12 months were included. We related the change in OCD symptom severity on the Yale-Brown obsessive-compulsive scale (Y-BOCS) between baseline and one-year follow-up with the distances from the active contacts to the ATR and MFB. We further analyzed the relation between treatment response and stimulation sites in standard anatomical space., Results: We found that active stimulation of the vALIC closer to the MFB than the ATR was associated with better treatment outcome (p = 0.04; r 2  = 0.34). In standard space, stimulation sites were largely overlapping between treatment (non)responders, suggesting response is independent of the anatomically defined electrode position., Conclusion: These findings suggest that vALIC DBS for OCD may benefit from MFB-specific implantation and highlight the importance of corticolimbic connections in OCD response to DBS. Prospective investigation is necessary to validate the clinical use of MFB targeting., (Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.)

Background and Purpose: White matter hyperintensities of presumed vascular origin in elderly patients with hypertension may be part of a general cerebral perfusion deficit, involving not only the white matter hyperintensities but also the surrounding normal-appearing white matter and gray matter. We aimed to study the relation between white matter hyperintensity volume and CBF and assess whether white matter hyperintensities are related to a general perfusion deficit., Materials and Methods: In 185 participants of the Prevention of Dementia by Intensive Vascular Care trial between 72 and 80 years of age with systolic hypertension, white matter hyperintensity volume and CBF were derived from 3D FLAIR and arterial spin-labeling MR imaging, respectively. We compared white matter hyperintensity CBF, normal-appearing white matter CBF, and GM CBF across quartiles of white matter hyperintensity volume and assessed the continuous relation between these CBF estimates and white matter hyperintensity volume by using linear regression., Results: Mean white matter hyperintensity CBF was markedly lower in higher quartiles of white matter hyperintensity volume, and white matter hyperintensity volume and white matter hyperintensity CBF were negatively related (standardized β = -0.248, P = .001) in linear regression. We found no difference in normal-appearing white matter or GM CBF across quartiles of white matter hyperintensity volume or any relation between white matter hyperintensity volume and normal-appearing white matter CBF (standardized β = -0.065, P = .643) or GM CBF (standardized β = -0.035, P = .382) in linear regression., Conclusions: Higher white matter hyperintensity volume in elderly individuals with hypertension was associated with lower perfusion within white matter hyperintensities, but not with lower perfusion in the surrounding normal-appearing white matter or GM. These findings suggest that white matter hyperintensities in elderly individuals with hypertension relate to local microvascular alterations rather than a general cerebral perfusion deficit., Competing Interests: None of the authors have any conflicts of interest., (© 2016 by American Journal of Neuroradiology.)

Preclinical studies suggest that dexamphetamine (dAMPH) can lead to monoaminergic neurotoxicity. This exploratory study aimed to investigate effects of recreational dAMPH use on the dopamine (DA) and noradrenaline (NA) systems in humans. To that purpose, eight male abstinent dAMPH (26.0 ± 4.0 years) users and 10 age- and IQ-matched male healthy control subjects (23.0 ± 3.8) underwent neuropsychological testing sensitive to DAergic function and single photon emission computed tomography (SPECT) scanning with [(123)I]FP-CIT to determine striatal DA transporter (DAT) binding. In addition, changes in cerebral blood flow (CBF) induced by the DA/NA reuptake inhibitor methylphenidate (MPH) were measured using pharmacological magnetic resonance imaging (phMRI). Performance of dAMPH users was significantly worse on executive function and verbal memory tasks. Striatal DAT binding ratios were on average lower in dAMPH users (near-significant, p=0.05). In addition, CBF in control subjects decreased significantly in response to MPH in gray matter and basal ganglia, among which the striatum, thalamus and hippocampus by 10% to 29%. However, in dAMPH users the CBF response was blunted in most brain areas studied, only decreasing in the hippocampus and orbitofrontal cortex. When comparing groups, CBF response was found to be significantly different in the thalamus with a decrease for healthy controls and a blunted response in dAMPH users. Collectively, our findings of a blunted hemodynamic response in monoaminergic regions, in combination with indications for lower striatal DAT binding and poorer behavioral measures are likely to represent DAergic dysfunction in dAMPH users, although NAergic dysfunction may also play a role., (Copyright © 2013 Elsevier B.V. and ECNP. All rights reserved.)

Non-invasive assessment of human neurotransmitter function is a highly valuable tool in clinical research. Despite the current interest in task-based pharmacological MRI (phMRI) for the assessment of neural correlates of serotonin (5-HT) function, test-retest reliability of this technique has not yet been established. Using a placebo-controlled crossover design, we aimed to examine the repeatability of task-related phMRI with a single dose of oral citalopram in twelve healthy female subjects. Since we were interested in the drug's effect on neural correlates of 5-HT related cognitive processes, a sensorimotor and an emotional face processing paradigm were used. For both paradigms, we found no significant effects of the oral citalopram challenge on task-positive brain activity with whole-brain analysis. With ROI-based analysis, there was a small effect of the challenge related to emotional processing in the amygdala, but this effect could not be reproduced between sessions. We did however find reproducible effects of the challenge on task-negative BOLD-responses, particularly in the medial frontal cortex and paracingulate gyrus. In conclusion, our data shows that a single oral dose of citalopram does not reliably affect emotional processing and sensorimotor activity, but does influence task-negative processes in the frontal cortex. This latter finding validates previous studies indicating a role for 5-HT in suppression of the task-negative network during goal-directed behavior., (Copyright © 2013 Elsevier Inc. All rights reserved.)

Pharmacological magnetic resonance imaging (phMRI) maps the neurovascular response to a pharmacological challenge and is increasingly used to assess neurotransmitter systems. Here we investigated the hemodynamic response to a dopaminergic (DAergic) challenge with dextroamphetamine (dAMPH) in humans using arterial spin labeling (ASL) based phMRI. Twelve healthy male subjects aged 21.0years (±1.5) were included. We used a pseudo-continuous ASL sequence (40min) to quantify cerebral blood flow (CBF) and started dAMPH infusion (0.3mg/kg) after 10min. On another day, we measured baseline dopamine D2/3 receptor availability with [(123)I]IBZM single photon emission computed tomography (SPECT). Baseline measures on mood and impulsivity and subjective behavioral responses to dAMPH were obtained. CBF response was corrected for cardiovascular effects using an occipital cortex mask for internal reference. Corrected CBF (sCBF) was analyzed using ROI-based and voxel-based analysis, in addition to independent component analysis (ICA). CBF data was correlated to D2/3 receptor availability and behavioral measures. Subjects reported experiencing euphoria following dAMPH administration. In the striatum sCBF significantly increased, as demonstrated by all three analysis methods. Voxel-based analysis and ICA also showed increased sCBF in the thalamus, anterior cingulate and cerebellum. Decreased sCBF was observed in several cortical areas, the posterior cingulated and paracingulate cortex. Apart from one ICA component, no correlations were found with sCBF changes and D2/3 receptor availability and behavioral measures. Our observations are in line with literature and provide further evidence that ASL-based phMRI with dAMPH is a promising technique to assess DAergic function in human subjects., (Copyright © 2013 Elsevier Inc. All rights reserved.)

Assessment of cerebral serotonin (5-HT) function with arterial spin labeling (ASL)-based pharmacological magnetic resonance imaging (phMRI) could be a highly useful tool in clinical psychiatric research. The goal of this study was to verify the reliability of ASL-based phMRI after an oral challenge of a selective serotonin reuptake inhibitor (SSRI) in repeated assessment of cerebral 5-HT function. In a placebo-controlled, within-subject crossover study we investigated the effect of a single oral dose of citalopram on brain cerebral blood flow (CBF) using a pulsed ASL sequence (PASL) in twelve female healthy volunteers. The within-session repeatability of the PASL signal was good for all regions tested (wsCV<15%). Both ROI- and voxel-based analyses revealed small but significant effects of a citalopram challenge on CBF values in 5-HT rich brain regions, among which the frontal gyrus and thalamus. These effects could however not be replicated between sessions, most probably due to the small effect size of the oral citalopram challenge on cerebral blood flow. We therefore conclude that the test-retest reliability of PASL phMRI with an oral citalopram challenge is low, limiting the technique's sensitivity to time-dependent changes and consequently its use as a (clinical) research tool., (Copyright © 2012 Elsevier Inc. All rights reserved.)

Objectives: To prospectively assess dynamic contrast-enhanced (DCE-)MRI as compared to conventional sequences in patients with luminal Crohn's disease., Methods: Patients with Crohn's disease undergoing MRI and ileocolonoscopy within 1 month had DCE-MRI (3T) during intravenous contrast injection of gadobutrol, single shot fast spin echo sequence and 3D T1-weighted spoiled gradient echo sequence, a dynamic coronal 3D T1-weighted fast spoiled gradient were performed before and after gadobutrol. Maximum enhancement (ME) and initial slope of increase (ISI) were calculated for four colon segments (ascending colon+coecum, transverse colon, descending colon+sigmoid, rectum) and (neo)terminal ileum. C-reactive protein (CRP), Crohn's disease activity index (CDAI), per patient and per segment Crohn's disease endoscopic index of severity (CDEIS) and disease duration were determined. Mean values of the (DCE-)MRI parameters in each segment from each patient were compared between four disease activity groups (normal mucosa, non-ulcerative lesions, mild ulcerative and severe ulcerative disease) with Mann-Whitney test with Bonferroni adjustment. Spearman correlation coefficients were calculated for continuous variables., Results: Thirty-three patients were included (mean age 37 years; 23 females, median CDEIS 4.4). ME and ISI correlated weakly with segmental CDEIS (r=0.485 and r=0.206) and ME per patient correlated moderately with CDEIS (r=0.551). ME was significantly higher in segments with mild (0.378) or severe (0.388) ulcerative disease compared to normal mucosa (0.304) (p<0.001). No ulcerations were identified at conventional sequences. ME correlated with disease duration in diseased segments (r=0.492), not with CDAI and CRP., Conclusions: DCE-MRI can be used as a method for detecting Crohn's disease ulcerative lesions., (Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.)

3,4-Methylenedioxymethamphetamine (MDMA or ecstasy) is a popular recreational drug that has been shown to induce loss of brain serotonin (5-HT) neurons. The purpose of this study was to determine the usefulness of pharmacological magnetic resonance imaging (phMRI) in assessing 5-HT dysfunction by examining the hemodynamic response evoked by infusion with the selective 5-HT reuptake inhibitor citalopram. We studied the effects of MDMA on brain hemodynamics using arterial spin labeling (ASL) based phMRI following a citalopram challenge (7.5mg/kg, i.v.), combined with [¹²³I]β-CIT SPECT imaging in ten male MDMA users and seven healthy non-users. Single photon emission computed tomography (SPECT) imaging was used to assess the availability of 5-HT transporters (SERT). Imaging results were compared with the results of behavioral measures and mood changes following drug administration, in both groups (using the Beck Depression Inventory, Barratt Impulsiveness Scale and a visual analog scale). Reductions in SERT binding were observed in the occipital cortex of MDMA users. In line with this, citalopram induced decreases in cerebral blood flow (CBF) in the occipital cortex of MDMA users. ASL based phMRI also detected a CBF decrease in the thalamus of MDMA users. In concordance with imaging findings, behavioral measures differed significantly between MDMA users and controls. MDMA users had higher impulsivity scores and felt more uncomfortable after citalopram infusion, compared with control subjects. Our findings indicate that phMRI is very well suited for in-vivo assessment of 5-HT dysfunction., (Copyright © 2011 Elsevier B.V. and ECNP. All rights reserved.)

A technique called 'shaving' is introduced to automatically extract the combination of relevant image regions in a comparative study. No hypothesis is needed, as in conventional pre-defined or expert selected region of interest (ROI)-analysis. In contrast to traditional voxel based analysis (VBA), correlations within the data can be modeled using principal component analysis (PCA) and linear discriminant analysis (LDA). A study into schizophrenia using diffusion tensor imaging (DTI) serves as an application. Conventional VBA found a decreased fractional anisotropy (FA) in a part of the genu of the corpus callosum and an increased FA in larger parts of white matter. The proposed method reproduced the decrease in FA in the corpus callosum and found an increase in the posterior limb of the internal capsule and uncinate fasciculus. A correlation between the decrease in the corpus callosum and the increase in the uncinate fasciculus was demonstrated.