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Bioengineering
Special Issues
Multimodal Neuroimaging Techniques: Progress and Application
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Multimodal Neuroimaging Techniques: Progress and Application

A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".

Deadline for manuscript submissions: 30 April 2024 | Viewed by 4040

Special Issue Editor

Dr. Frédéric Grouiller

E-Mail Website
Guest Editor
CIBM MRI HUG-UNIGE, Clinical MR Imaging Section, Geneva University Hospitals, Geneva, Switzerland
Interests: multimodal neuroimaging; EEG-fMRI; ultra-high field MRI; virtual reality; cognitive neurosciences; neurofeedback; quantitative imaging

Special Issue Information

Dear Colleagues,

Multimodal imaging is revolutionizing neuroscience, offering exciting new opportunities to explore the complex functioning of the brain. By combining signals from various imaging modalities, including functional, structural, diffusion, and perfusion MRI, as well as MEG, EEG, fNIRS, PET, TMS, and other emerging techniques, neuroscientists can gain a comprehensive understanding of brain function and structure. Each modality offers unique advantages and complementarity, providing a more detailed picture of the spatio-temporal dynamics of the brain. Recent technological advancements have expanded the capabilities of multimodal imaging, including ultra-high-field MRI and OPM-MEG, which allow for sublaminar imaging. Additionally, the integration of VR technology into many imaging setups has opened up new avenues for studying brain function. The processing of multimodal signals has advanced significantly through state-of-the-art methodologies such as deep learning algorithms, artificial intelligence models, and graph-theoretic approaches. The real-time processing of multimodal imaging is also of great interest, particularly in the fields of Brain Computer Interface (BCI) and neurofeedback. This Special Issue will cover the latest developments in multimodal neuroimaging, including acquisition methods, technological advancements, and analysis tools, with a particular emphasis on ultra-high-field multimodal imaging.

Dr. Frédéric Grouiller
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Bioengineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (4 papers)

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Research

15 pages, 1767 KiB  
Article
The Role of Treatment-Related Parameters and Brain Morphology in the Lesion Volume of Magnetic-Resonance-Guided Focused Ultrasound Thalamotomy in Patients with Tremor-Dominant Neurological Conditions
by Rosa Morabito, Simona Cammaroto, Annalisa Militi, Chiara Smorto, Carmelo Anfuso, Angelo Lavano, Francesco Tomasello, Giuseppe Di Lorenzo, Amelia Brigandì, Chiara Sorbera, Lilla Bonanno, Augusto Ielo, Martina Vatrano, Silvia Marino, Alberto Cacciola, Antonio Cerasa and Angelo Quartarone
Bioengineering 2024, 11(4), 373; https://doi.org/10.3390/bioengineering11040373 - 12 Apr 2024
Viewed by 549
Abstract
Purpose: To determine the best predictor of lesion volume induced by magnetic resonance (MR)-guided focused ultrasound (MRgFUS) thalamotomy in patients with tremor-dominant symptoms in Parkinson’s disease (PD) and essential tremor (ET) patients. Methods: Thirty-six neurological patients with medication-refractory tremor (n°19 PD; n°17 ET) [...] Read more.
Purpose: To determine the best predictor of lesion volume induced by magnetic resonance (MR)-guided focused ultrasound (MRgFUS) thalamotomy in patients with tremor-dominant symptoms in Parkinson’s disease (PD) and essential tremor (ET) patients. Methods: Thirty-six neurological patients with medication-refractory tremor (n°19 PD; n°17 ET) were treated using a commercial MRgFUS brain system (Exablate Neuro 4000, Insightec) integrated with a 1.5 T MRI unit (Sigma HDxt; GE Medical System). Linear regression analysis was used to determine how the demographic, clinical, radiological (Fazekas scale), volumetric (total GM/WM/CSF volume, cortical thickness), and MRgFUS-related parameters [Skull Density Ratio (SDR), n° of transducer elements, n° of sonications, skull area, maximal energy delivered (watt), maximal power delivered (joule), maximal sonication time delivered, maximal mean temperature reached (T°C_max), accumulated thermal dose (ATD)] impact on ventral intermediate (VIM)-thalamotomy-related 3D volumetric lesions of necrosis and edema. Results: The VIM thalamotomy was clinically efficacious in improving the tremor symptoms of all the patients as measured at 1 week after treatment. Multiple regression analysis revealed that T°C_max and n° of transducer elements were the best predictors of the necrosis and edema volumes. Moreover, total WM volume also predicted the size of necrosis. Conclusions: Our study provides new insights into the clinical MRgFUS procedures that can be used to forecast brain lesion size and improve treatment outcomes. Full article
(This article belongs to the Special Issue Multimodal Neuroimaging Techniques: Progress and Application)
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17 pages, 8324 KiB  
Article
Measurement of the Mapping between Intracranial EEG and fMRI Recordings in the Human Brain
by David W Carmichael, Serge Vulliemoz, Teresa Murta, Umair Chaudhary, Suejen Perani, Roman Rodionov, Maria Joao Rosa, Karl J Friston and Louis Lemieux
Bioengineering 2024, 11(3), 224; https://doi.org/10.3390/bioengineering11030224 - 27 Feb 2024
Cited by 2 | Viewed by 960
Abstract
There are considerable gaps in our understanding of the relationship between human brain activity measured at different temporal and spatial scales. Here, electrocorticography (ECoG) measures were used to predict functional MRI changes in the sensorimotor cortex in two brain states: at rest and [...] Read more.
There are considerable gaps in our understanding of the relationship between human brain activity measured at different temporal and spatial scales. Here, electrocorticography (ECoG) measures were used to predict functional MRI changes in the sensorimotor cortex in two brain states: at rest and during motor performance. The specificity of this relationship to spatial co-localisation of the two signals was also investigated. We acquired simultaneous ECoG-fMRI in the sensorimotor cortex of three patients with epilepsy. During motor activity, high gamma power was the only frequency band where the electrophysiological response was co-localised with fMRI measures across all subjects. The best model of fMRI changes across states was its principal components, a parsimonious description of the entire ECoG spectrogram. This model performed much better than any others that were based either on the classical frequency bands or on summary measures of cross-spectral changes. The region-specific fMRI signal is reflected in spatially and spectrally distributed EEG activity. Full article
(This article belongs to the Special Issue Multimodal Neuroimaging Techniques: Progress and Application)
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19 pages, 3090 KiB  
Article
Self-Regulation of Attention in Children in a Virtual Classroom Environment: A Feasibility Study
by Carole Guedj, Rémi Tyrand, Emmanuel Badier, Lou Planchamp, Madison Stringer, Myriam Ophelia Zimmermann, Victor Férat, Russia Ha-Vinh Leuchter and Frédéric Grouiller
Bioengineering 2023, 10(12), 1352; https://doi.org/10.3390/bioengineering10121352 - 24 Nov 2023
Cited by 1 | Viewed by 1193
Abstract
Attention is a crucial cognitive function that enables us to selectively focus on relevant information from the surrounding world to achieve our goals. Impairments in sustained attention pose challenges, particularly in children with attention deficit hyperactivity disorder, a neurodevelopmental disorder characterized by impulsive [...] Read more.
Attention is a crucial cognitive function that enables us to selectively focus on relevant information from the surrounding world to achieve our goals. Impairments in sustained attention pose challenges, particularly in children with attention deficit hyperactivity disorder, a neurodevelopmental disorder characterized by impulsive and inattentive behavior. While psychostimulant medications are the most effective ADHD treatment, they often yield unwanted side effects, making it crucial to explore non-pharmacological treatments. We propose a groundbreaking protocol that combines electroencephalography-based neurofeedback with virtual reality (VR) as an innovative approach to address attention deficits. By integrating a virtual classroom environment, we aim to enhance the transferability of attentional control skills while simultaneously increasing motivation and interest among children. The present study demonstrates the feasibility of this approach through an initial assessment involving a small group of healthy children, showcasing its potential for future evaluation in ADHD children. Preliminary results indicate high engagement and positive feedback. Pre- and post-protocol assessments via EEG and fMRI recordings suggest changes in attentional function. Further validation is required, but this protocol is a significant advancement in neurofeedback therapy for ADHD. The integration of EEG-NFB and VR presents a novel avenue for enhancing attentional control and addressing behavioral challenges in children with ADHD. Full article
(This article belongs to the Special Issue Multimodal Neuroimaging Techniques: Progress and Application)
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14 pages, 4180 KiB  
Article
Validation of Lead-DBS β-Oscillation Localization with Directional Electrodes
by Colette Boëx, Abdullah Al Awadhi, Rémi Tyrand, Marco V. Corniola, Astrid Kibleur, Vanessa Fleury, Pierre R. Burkhard and Shahan Momjian
Bioengineering 2023, 10(8), 898; https://doi.org/10.3390/bioengineering10080898 - 28 Jul 2023
Viewed by 912
Abstract
In deep brain stimulation (DBS) studies in patients with Parkinson’s disease, the Lead-DBS toolbox allows the reconstruction of the location of β-oscillations in the subthalamic nucleus (STN) using Vercise Cartesia directional electrodes (Boston Scientific). The objective was to compare these probabilistic locations with [...] Read more.
In deep brain stimulation (DBS) studies in patients with Parkinson’s disease, the Lead-DBS toolbox allows the reconstruction of the location of β-oscillations in the subthalamic nucleus (STN) using Vercise Cartesia directional electrodes (Boston Scientific). The objective was to compare these probabilistic locations with those of intraoperative monopolar β-oscillations computed from local field potentials (0.5–3 kHz) recorded by using shielded single wires and an extracranial shielded reference electrode. For each electrode contact, power spectral densities of the β-band (13–31 Hz) were compared with those of all eight electrode contacts on the directional electrodes. The DBS Intrinsic Template AtLas (DISTAL), electrophysiological, and DBS target atlases of the Lead-DBS toolbox were applied to the reconstructed electrodes from preoperative MRI and postoperative CT. Thirty-six electrodes (20 patients: 7 females, 13 males; both STN electrodes for 16 of 20 patients; one single STN electrode for 4 of 20 patients) were analyzed. Stimulation sites both dorsal and/or lateral to the sensorimotor STN were the most efficient. In 33 out of 36 electrodes, at least one contact was measured with stronger β-oscillations, including 23 electrodes running through or touching the ventral subpart of the β-oscillations’ probabilistic volume, while 10 did not touch it but were adjacent to this volume; in 3 out of 36 electrodes, no contact was found with β-oscillations and all 3 were distant from this volume. Monopolar local field potentials confirmed the ventral subpart of the probabilistic β-oscillations. Full article
(This article belongs to the Special Issue Multimodal Neuroimaging Techniques: Progress and Application)
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