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The recent development of multiband functional magnetic resonance imaging (MB-fMRI) allows for the reduction of sampling period by simultaneously exciting multiple slices-the number of which is referred to as the multiband factor. Simultaneously recorded electroencephalography (EEG)/MB-fMRI has yet to be validated for data quality against conventional single band (SB)-fMRI. Pilot scans were conducted on phantoms twice and on a healthy volunteer to ensure no heating effects. In the main study, two thermometer probes were attached to 16 healthy individuals (ages 20-39, 9 females) whilst they completed two sets of 16-min resting-state and two sets of 9-min n-back task scans-each set consisting of one MB4 and one SB pulse sequence. No heating effects were reported and thermometer data showed mean increases of < 1.0 °C. Minimal differences between the two scan types were found in EEG channel variance and spectra. Expected decreases in MB4-fMRI tSNR were observed. In n-back task scans, little to no differences were detected in both EEG source analyses and fMRI local analyses for mixed effects. Resting-state posterior cingulate cortex seed-based analyses of the default mode network along with EEG-informed fMRI analysis of the occipital alpha anticorrelation effect showed improved statistical and spatial sensitivity at lower scan durations. Using EEG/MB4-fMRI for n-back tasks provided no statistical advantages nor disadvantages. However, for studying the resting-state, MB4-fMRI potentially allows for reduced scanning durations for equivalent statistical significance to be obtained or alternatively, larger effect sizes for the same scanning duration. As such, simultaneous EEG/MB4-fMRI is a viable alternative to EEG/SB-fMRI.
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http://dx.doi.org/10.1007/s10548-020-00761-w | DOI Listing |
Neurotrauma Rep
August 2025
Department of Radiology, Weill Cornell Medicine; New York, New York, USA.
Traumatic brain injury (TBI) impairs attention and executive function, often through disrupted coordination between cognitive and autonomic systems. While electroencephalography (EEG) and pupillometry are widely used to assess neural and autonomic responses independently, little is known about how these systems interact in TBI. Understanding their coordination is essential to identify compensatory mechanisms that may support attention under conditions of neural inefficiency.
View Article and Find Full Text PDFFront Med (Lausanne)
August 2025
School of Sport and Exercise Rehabilitation, Jinzhou Medical University, Liaoning, China.
Objective: This study aimed to describe the MRI features of lower limbs (thighs and calves) in patients with anti-NXP2 antibody positive myositis, and explore their relationship with clinical manifestations and prognosis.
Methods: Adult patients with anti-NXP2 antibody who underwent both thigh and calf MRI examinations simultaneously were enrolled between 2017 and 2023. The MRI features and medical records of patients were reviewed.
Psychophysiology
September 2025
Department of Cognitive Neurology, University Medical Center Göttingen, Göttingen, Germany.
Exercise influences visual processing and is accompanied by neural and physiological changes in the body. Yet, the underlying mechanisms by which neural and physiological responses to exercise impact ensuing perception remain poorly understood. In particular, the effects of exercise-induced cardiac changes on visual perception and electrophysiological activity are unclear.
View Article and Find Full Text PDFJ Oral Rehabil
September 2025
Center for Advanced Oral Medicine, Hokkaido University Hospital, Sapporo, Japan.
Background: It has not been established how electromyographic (EMG) data of masticatory muscles can estimate bite force (BF) during daily activities at home, such as eating and bruxism, utilising the EMG-BF correlation.
Objective: This study aimed to investigate the relationship between actual BF and BF estimated using corresponding EMG data and additional information on BF and EMG measured on a separate day.
Methods: Participants were 16 volunteers.
Nat Methods
September 2025
Department of Radiology, Michigan State University, East Lansing, MI, USA.
Concurrent recording of electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI) signals reveals cross-scale neurovascular dynamics crucial for explaining fundamental linkages between function and behaviors. However, MRI scanners generate artifacts for EEG detection. Despite existing denoising methods, cabled connections to EEG receivers are susceptible to environmental fluctuations inside MRI scanners, creating baseline drifts that complicate EEG signal retrieval from the noisy background.
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