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Articles by Roland Wiest
AI adoption and workflow optimization following orchestration platform implementation and structured change management
Abstract Artificial intelligence (AI) adoption in radiology remains limited by workflow integration challenges, lack of interoperability, and barriers to user engagement. We implemented a dual-track socio-technical strategy in a tertiary-care neuroradiology department, combining a vendor-neutral AI orchestration platform with a structured change management program, including user education, workflow standardization, documentation, feedback mechanisms, and governance.
Navigating the Artificial Intelligence Revolution in Clinical Neurology: A New Multidisciplinary Task Force Within the European Academy of Neurology
1 Introduction Artificial intelligence (AI) stands at the forefront of technological innovation, representing a pivotal branch of computer science focused on developing algorithms and models that enable machines to perform tasks typically associated with human intelligence [1].
Fast surface reconstruction of human brain MRI: benchmarking deep-learning based morphometry tools
Abstract Time efficient and reliable pipelines for quantitative evaluation of structural brain MRI are essential to utilize the potential of morphometry tools for large scale research projects as well as to pave the path towards future clinical applications.
Visualizing pain-processing networks with 7T resting-state functional MRI using pseudo-continuous arterial spin labeling
Abstract Arterial spin labeling (ASL) at ultra‑high field MRI at 7 T provides enhanced signal‑to‑noise ratio and spatial resolution, enabling more sensitive functional imaging. The objective of this study was to investigate regional perfusion changes and their relationship to perceived pain during sustained capsaicin‑induced nociception.
Loss of regional theta differentiation in TMS-EEG response marks network dysfunction in psychosis risk
Abstract The clinical high-risk state for psychosis (CHR-P) aims to identify individuals in a potential prodromal phase of the disorder. Brain network dysconnectivity is believed to underlie psychotic disorders and has been studied using concurrent transcranial magnetic stimulation (TMS) and electroencephalography (EEG). However, such data is not yet available for individuals in the CHR-P state.
DeepISLES: a clinically validated ischemic stroke segmentation model from the ISLES'22 challenge - Nature Communications
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Abstract Diffusion-weighted MRI is critical for diagnosing and managing ischemic stroke, but variability in images and disease presentation limits the generalizability of AI algorithms. We present DeepISLES, a robust ensemble algorithm developed from top submissions to the 2022 Ischemic Stroke Lesion Segmentation challenge we organized.
By Mauricio Reyes, Alexandre Hutton, Roland Wiest, Waldo Valenzuela, David Robben, Vincenzo Anania, Christian Heitkamp, Sabine Van Huffel, Hyunsu Jeong, Chiho Yoon, Chulhong Kim, Jiayu Huo, Sébastien Ourselin, Arnau Oliver, Liam Chalcroft, Jeroen Bertels, Ewout Heylen, Maged Goubran, Susanne Wegener, Florian Kofler, Suprosanna Shit, Bjoern Menze, Jan S. Kirschke
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Nature
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Exploring imitation of within hand prehensile object manipulation using fMRI and graph theory analysis - Scientific Reports
Abstract This study aims to establish an imitation task of multi-finger haptics in the context of regular grasping and regrasping processes during activities of daily living. A video guided the 26 healthy, right-handed volunteers through the three phases of the task: (1) fixation of a hand holding a cuboid, (2) observation of the sensori-motor manipulation, (3) imitation of that motor action.
Adaptation of the Concept of Brain Reserve for the Prediction of Stroke Outcome: Proxies, Neural Mechanisms, and Significance for Research
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Four New Cases of Progressive Ataxia and Palatal Tremor (PAPT) and a Literature Review
This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by 1,*, 2 and 1 1 Department of Neurology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland 2 Department of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland * Author to whom correspondence should be addressed. Clin. Transl. Neurosci.
Resting-state perfusion in motor and fronto-limbic areas is linked to diminished expression of emotion and speech in schizophrenia - Schizophrenia
Abstract Negative symptoms (NS) are a core component of schizophrenia affecting community functioning and quality of life. We tested neural correlates of NS considering NS factors and consensus subdomains. We assessed NS using the Clinical Assessment Interview for Negative Symptoms and the Scale for Assessment of Negative Symptoms. Arterial spin labeling was applied to measure resting-state cerebral blood flow (rCBF) in 47 schizophrenia patients and 44 healthy controls.
Distinct and shared patterns of brain plasticity during electroconvulsive therapy and treatment as usual in depression: an observational multimodal MRI-study | Translational Psychiatry
Abstract Electroconvulsive therapy (ECT) is a highly effective treatment for depression. Previous studies point to ECT-induced volume increase in the hippocampi and amygdalae, and to increase in cortical thickness. However, it is unclear if these neuroplastic changes are associated with treatment response.
The LUMIERE dataset: Longitudinal Glioblastoma MRI with expert RANO evaluation - Scientific Data
Abstract Publicly available Glioblastoma (GBM) datasets predominantly include pre-operative Magnetic Resonance Imaging (MRI) or contain few follow-up images for each patient. Access to fully longitudinal datasets is critical to advance the refinement of treatment response assessment. We release a single-center longitudinal GBM MRI dataset with expert ratings of selected follow-up studies according to the response assessment in neuro-oncology criteria (RANO).
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset - Scientific Data
Abstract Magnetic resonance imaging (MRI) is an important imaging modality in stroke. Computer based automated medical image processing is increasingly finding its way into clinical routine. The Ischemic Stroke Lesion Segmentation (ISLES) challenge is a continuous effort to develop and identify benchmark methods for acute and sub-acute ischemic stroke lesion segmentation.
Structural network alterations in focal and generalized epilepsy assessed in a worldwide ENIGMA study follow axes of epilepsy risk gene expression - Nature Communications
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Abstract Epilepsy is associated with genetic risk factors and cortico-subcortical network alterations, but associations between neurobiological mechanisms and macroscale connectomics remain unclear. This multisite ENIGMA-Epilepsy study examined whole-brain structural covariance networks in patients with epilepsy and related findings to postmortem epilepsy risk gene expression patterns.
By Sara Larivière, Jessica Royer, Raúl Rodríguez-Cruces, Antonio Gambardella, Luis Concha, Leonardo Bonilha, Martin Domin Verified, Roland Wiest, Hamid Soltanian-Zadeh, Aoife Griffin, Matteo Lenge, Theodor Rüber, Orrin Devinsky, Pasquale Striano, Sean N. Hatton, Sjoerd B. Vos, John Duncan, Boris C. Bernhardt, Clarissa L. Yasuda, Niels K. Focke, Sonya Foley, Angelo Labate, Vijay Tiwari
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Nature
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Clinical neuroimaging in intracerebral haemorrhage related to cerebral small vessel disease: contemporary practice and emerging concepts
MRI is the gold-standard for the non-invasive diagnosis of SVD. Presence, distribution, and severity of SVD markers (cerebral microbleeds, cortical superficial siderosis, white matter hyperintensities, lacunes, enlarged perivascular spaces) are associated with the underlying type and severity of the SVD and can help to predict ICH recurrence [67 Fazekas F, Kleinert R, Roob G, et al.
Neuronal current imaging: An experimental method to investigate electrical currents in dogs with idiopathic epilepsy
Abbreviations APL adjustable pressure limiting BOLD blood oxygen level-dependent CSF cerebrospinal fluid EEG - HFO high-frequency oscillation IE idiopathic epilepsy MRI magnetic resonance imaging NCI neuronal current imaging pcSIRS phase-cycled stimulus-induced rotary saturation PEEP positive end expiratory pressure SL spin-locking TA time of acquisition TCI target-controlled infusion TE echo time TR repetition time 1 INTRODUCTION Epilepsy is a common neurological disorder in dogs with a...
Neural correlates of sense of agency in motor control: A neuroimaging meta-analysis
Loading metrics Open Access Peer-reviewed Research Article Giuseppe A. Zito , Roland Wiest, Selma Aybek Giuseppe A. Zito, Roland Wiest, Selma Aybek Published: June 5, 2020 https://doi.org/10.1371/journal.pone.0234321 Figures Abstract The sense of agency (SoA) refers to the perception that an action is the consequence of one’s own intention. Studies exploring the SoA with neuroimaging techniques summarized the available data and confirmed a role of fronto-parietal areas and subcortical structures.
The effect of optimistic expectancies on attention bias: Neural and behavioral correlates
Abstract Optimism bias and positive attention bias are important features of healthy information processing. Recent findings suggest dynamic bidirectional optimism-attention interactions, but the underlying neural mechanisms remain to be identified. The current functional magnetic resonance imaging (fMRI) study, therefore, investigated the neural mechanisms underlying causal effects of optimistic expectancies on attention.
Implicit Vocabulary Learning during Sleep Is Bound to Slow-Wave Peaks
(Current Biology 29, 541–553.e1–e7; February 18, 2019) In the original version of the article’s Supplemental Information, the cell values of Table S4 were erroneously duplicated from Table S2. The marginal means of Table S4 correctly represented the data but did not represent the cell values of the table. This error and a small typographical error (missing word “potential” in “event-related potential”) in the description of Table S6 have been corrected online.
Implicit Vocabulary Learning during Sleep Is Bound to Slow-Wave Peaks
Highlights • Humans can encode verbal associative information (word pairs) during slow-wave sleep • Memory was best for pairs that were encoded in sync with ongoing slow-wave peaks • Slow-wave sleep appears to entail windows of opportunity for synaptic potentiation • The hippocampus mediated retrieval, suggesting episodic memory formation during sleep Summary Learning while asleep is a dream of mankind, but is often deemed impossible because sleep lacks the conscious awareness and...
Adult Onset Metachromatic Leukodystrophy Without Electroclinical Peripheral Nervous System Involvement
Background Metachromatic leukodystrophy (MLD) is a lysosomal storage disease caused by the deficiency of arylsulfatase A (ARSA). Clinically, the disease is heterogeneous with respect to the age of onset, affection of peripheral and central nervous systems, and progression.
Relevance of the cerebral collateral circulation in ischaemic stroke: time is brain, but collaterals set the pace
Collateral blood circulation is common in most species as a system of vascular redundancy designed to preserve blood supply in the event of failure of the primary blood supplying system. In humans, collateral circulation can be found in most organs, and the blood supply to the brain especially is secured by an extensive collateral circulation system. The collateral circuits to the brain can be divided into primary and secondary routes.
Swiss Medical Weekly - Article
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