23 papers · ranked by Valyu relevance
Hamad Yahia Abu Mhanna, Ahmad Fairuz Omar, Yasmin Md Radzi, Ammar A. Oglat + 7 more
'Ammar A. Oglat' 'Hanan Fawaz Akhdar' 'Haytham Al Ewaidat' 'Abdallah Almahmoud' 'Abdel-Baset Bani Yaseen' 'Laith Al Badarneh' 'Omar Alhamad' 'Laith Alhamad'] The utilization of functional magnetic resonance imaging (fMRI) is critical in the preoperative planning phase of brain tumor surgery because it allows for a…
Yifei Hu, X. Jessie Jeng
Accurate delineation of tumor-adjacent functional brain regions is essential for planning function-preserving neurosurgery. Functional magnetic resonance imaging (fMRI) is increasingly used for presurgical counseling and planning. When analyzing presurgical fMRI data, false negatives are more dangerous to the patients…
Logan Dowdle, Geoffrey Ghose, Steen Moeller, Kamil Ugurbil + 2 more
FMRI has become a key tool for human neuroscience. At ultra-high field (=> 7 Tesla) it is possible to acquire images with submillimeter spatial precision, which allows examinations of mesoscale functional organization. Studying the brain at this scale does not come without its challenges, however. To tackle some of…
Hussain Khalid Al-Arfaj, Abdulaziz Mohammad Al-Sharydah, Sari Saleh AlSuhaibani, Soliman Alaqeel + 3 more
'Sari Saleh AlSuhaibani' 'Soliman Alaqeel' 'Tarek Yousry' 'Yoshihiro Noda' 'Rajendra D Badgaiyan'] Functional magnetic resonance imaging (fMRI) is among the newest techniques of advanced neuroimaging that offer the opportunity for neuroradiologists, neurophysiologists, neuro-oncologists, and neurosurgeons to…
Luca Vizioli, Lasse Knudsen, Steen Moeller, Logan Dowdle + 13 more
One of the most important frontiers in the efforts to improve functional imaging of brain activity (fMRI) is the recent push to increase the magnetic fields for human imaging beyond 10 Tesla. Having established safety, large gains in signal-to-noise-ratio (SNR), and novel radiofrequency arrays that capture the higher…
Authors not listed
Alzheimer’s disease (AD) is a neurodegenerative disorder characterized by progressive cognitive decline and widespread neurovascular disturbances. Traditional fMRI provides valuable spatial maps of blood-oxygen-level-dependent (BOLD) changes but often lacks the capacity to quantify the interplay of cerebral blood flow…
Sijin Yu, Zijiao Chen, Wenxuan Wu, Shengxian Chen + 5 more
Reconstructing visual stimuli from human brain activity (e.g., fMRI) bridges neuroscience and computer vision by decoding neural representations. However, existing methods often overlook critical brain structure-function relationships, flattening spatial information and neglecting individual anatomical variations. To…
Arthur P C Spencer, Jasmine Nguyen-Duc, Inès de Riedmatten, Filip Szczepankiewicz + 1 more
Functional MRI (fMRI) using the blood-oxygen level dependent (BOLD) signal provides valuable insight into grey matter activity. However, uncertainty surrounds the white matter BOLD signal. Apparent diffusion coefficient (ADC) offers an alternative fMRI contrast sensitive to transient cellular deformations during neural…
Sneha Noble, Chakka Sai Pradeep, Neelam Sinha, Thomas Gregor Issac
structural disparities in fMRI Time-Series of DMN Authors: ['Sneha Noble' 'Chakka Sai Pradeep' 'Neelam Sinha' 'Thomas Gregor Issac'] Abstract—Time series from different regions of interest (ROI) of default mode network (DMN) from Functional Magnetic Resonance Imaging (fMRI) can reveal significant differences between…
Joshua K. Marchant, Natalie G. Ferris, Diana Grass, Magdelena S. Allen + 20 more
'Magdelena S. Allen' 'Vivek Gopalakrishnan' 'Mark Olchanyi' 'Devang Sehgal' 'Maxina Sheft' 'Amelia Strom' 'Berkin Bilgic' 'Brian Edlow' 'Elizabeth M. C. Hillman' 'Meher R. Juttukonda' 'Laura Lewis' 'Shahin Nasr' 'Aapo Nummenmaa' 'Jonathan R. Polimeni' 'Roger B. H. Tootell' 'Lawrence L. Wald' 'Hui Wang' 'Anastasia…
Zitong Lu, Yile Wang
Alignment Authors: ['Zitong Lu' 'Yile Wang'] Deep convolutional neural networks (DCNNs) have demonstrated excellent performance in object recognition and have been found to share some similarities with brain visual processing. However, the substantial gap between DCNNs and human visual perception still exists.…
Shan Gao, Ryleigh Nash, Shannon Burns, Yuan Chang Leong
Functional near-infrared spectroscopy (fNIRS) offers a portable, cost-effective alternative to functional magnetic resonance imaging (fMRI) for non-invasively measuring neural activity. However, fNIRS measurements are limited to cortical regions near the scalp, missing important medial and deeper brain areas. We…
Maël Donoso
Electroencephalography (EEG) and functional Magnetic Resonance Imaging (fMRI) are two widely used neuroimaging techniques, with complementary strengths and weaknesses. Predicting fMRI activity from EEG activity could give us the best of both worlds, and open new horizons for neuroscience research and neurotechnology…
Manuel Morante, Kristian Frølich, Naveed ur Rehman
connectivity at different timescales Authors: ['Manuel Morante' 'Kristian Frølich' 'Naveed ur Rehman'] Human brains exhibit highly organized multiscale neurophysiological dynamics. Understanding those dynamic changes and the neuronal networks involved is critical for understanding how the brain functions in health and…
Di Cesare G., Peter Zeidman, Giada Lombardi, Burcu A. Ürgen + 2 more
'Giada Lombardi' 'Alessandra Sciutti'] - a Italian Institute of Technology, Cognitive Architecture for Collaborative Technologies Unit, Genova, Italy. - b Wellcome Centre for Human Neuroimaging, UCL, 12 Queen Square, London WC1N 3AR, United Kingdom. - c Department of Psychology and Interdisciplinary Neuroscience…
Franziska Klein, Stefan Debener, Karsten Witt, Cornelia Kranczioch
Compared to functional magnetic resonance imaging (fMRI), functional near infrared spectroscopy (fNIRS) has several advantages that make it particularly interesting for neurofeedback (NFB). A pre-requisite for NFB applications is that with fNIRS, signals from the brain region of interest can be measured. This study…
Isla L. Jones, Chiara Bulgarelli, Sara De Felice, Paola Pinti + 1 more
Significance Functional near-infrared spectroscopy (fNIRS) is a unique neuroimaging methodology with high portability and tolerance of motion, making it well-suited to research in dynamic real-world environments. However, it is crucial to carefully design fNIRS paradigms to suit the unique requirements of real-world…
Andrew C. Murphy, Romain Duprat, Theodore D. Satterthwaite, Desmond J. Oathes + 1 more
'Desmond J. Oathes' 'Dani S. Bassett'] Functional connectivity between brain regions tracks symptom severity in a wide variety of neuropsychiatric disorders. Transcranial magnetic stimulation (TMS) is a powerful tool to directly alter regional activity and indirectly alter functional connectivity. Predicting how the…
Benjamin Mosch, Verena Hagena, Stephan Herpertz, Martin Diers
Background Previous studies have repeatedly found distinct brain morphometric changes in patients with fibromyalgia (FM), mainly affecting gray and white matter abnormalities in areas related to sensory and affective pain processing. However, few studies have thus far linked different types of structural changes and…
Truc Chu, Kiyomitstu Niioka, Ippeita Dan, Sungho Tak
Functional near-infrared spectroscopy (fNIRS) is an optical neuroimaging technique that measures brain activity by detecting changes in oxygenated and deoxygenated hemoglobin concentrations. Although methods exist for estimating causal interactions among brain regions using fNIRS data, current approaches typically rely…
Kadharbatcha S Saleem, Alexandru V Avram, Cecil Chern-Chyi Yen, Kulam Najmudeen Magdoom + 2 more
Subcortical nuclei and other deep brain structures play essential roles in regulating the central and peripheral nervous systems. However, many of these nuclei and their subregions are challenging to identify and delineate in conventional MRI due to their small size, hidden location, and often subtle contrasts compared…
Michael S. Elmalem, Hanna Moody, James K. Ruffle, Michel Thiebaut de Schotten + 4 more
'Michel Thiebaut de Schotten' 'Patrick Haggard' 'Beate Diehl' 'Parashkev Nachev' 'Ashwani Jha'] - 1 UCL Queen Square Institute of Neurology, London, United Kingdom Department of Brain Repair and Rehabilitation High Dimensional Neurology Group 2 National Hospital for Neurology and Neurosurgery, London, United Kingdom 3…
Authors not listed
Understanding the spatial organization and dynamics of physicochemical processes in operating catalytic reactors is essential for optimizing their performance. Unfortunately, the power of NMR-based techniques is significantly impaired in such studies due to severe broadening and distortions of NMR signals caused by the…