NIRS-EEG

Last updated on 2022-09-07

There are multiple brain imaging modalities available nowadays. But how do you decide which modality fits your research best? fNIRS is known for the fact that it is non-invasive, portable, and has a good spatial resolution. EEG on the other hand is known for its non-invasiveness and superior temporal resolution. By combining these two brain imaging modalities, you can measure brain activity in a non-invasive manner with excellent temporal and spatial resolution.

multimodal
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Restoring brain connectivity by phrenic nerve stimulation in sedated and mechanically ventilated patients

Background In critically ill patients, deep sedation and mechanical ventilation suppress the brain-diaphragm-lung axis and are …
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Brain-movement relationship during upper-limb functional movements in chronic post-stroke patients

Background Following a stroke, brain activation reorganisation, movement compensatory strategies, motor performance and their evolution …
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Novel multimodal sensing and machine learning strategies to classify cognitive workload in laparoscopic surgery

Background Surgeons can experience elevated cognitive workload (CWL) during surgery due to various factors including operative …
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Temporal Convolutional Network-Enhanced Real-Time Implicit Emotion Recognition with an Innovative Wearable fNIRS-EEG Dual-Modal System

Emotion recognition remains an intricate task at the crossroads of psychology and artificial intelligence, necessitating real-time, …
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Brain activity response to cues during gait in Parkinson’s disease: A study protocol

Various cueing strategies (internal and external) have been used to alleviate gait deficits in Parkinson’s disease (PD). However, it …
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Aging effects on electrical and hemodynamic responses in the sensorimotor network during unilateral proximal upper limb functional tasks

Healthy aging leads to poorer performance in upper limb (UL) daily living movements. Understanding the neural correlates linked with UL …
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Automatic depression diagnosis through hybrid EEG and near-infrared spectroscopy features using support vector machine

Depression is a common mental disorder that seriously affects patients’ social function and daily life. Its accurate diagnosis remains …
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Bimodal EEG-fNIRS in Neuroergonomics. Current Evidence and Prospects for Future Research

Neuroergonomics focuses on the brain signatures and associated mental states underlying behavior to design human-machine interfaces …
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Identification of Cognitive Workload during Surgical Tasks with Multimodal Deep Learning

The operating room (OR) is a dynamic and complex environment consisting of a multidisciplinary team working together in a high take …
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Multimodal Assessment of Cognitive Workload Using Neural, Subjective and Behavioural Measures in Smart Factory Settings

Collaborative robots (cobots) have largely replaced conventional industrial robots in today’s workplaces, particularly in manufacturing …
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Motor Imagery Decoding Enhancement Based on Hybrid EEG-fNIRS Signals

This study explores the combination of electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) to enhance the …
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The Effect of Skeletal Muscle Oxygenation on Hemodynamics, Cerebral Oxygenation and Activation, and Exercise Performance during Incremental Exercise to Exhaustion in Male Cyclists

This study aimed to elucidate whether muscle blood flow restriction during maximal exercise is associated with alterations in …
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Recovering arm function in chronic stroke patients using combined anodal HD-tDCS and virtual reality therapy (ReArm): a study protocol for a randomized controlled trial

Abstract Background After a stroke, 80% of the chronic patients have difficulties to use their paretic upper limb (UL) in activities …
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Optimized electroencephalogram and functional near-infrared spectroscopy-based mental workload detection method for practical applications

Abstract Background Mental workload is a critical consideration in complex man–machine systems design. Among various mental workload …
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Cortical Activity Underlying Gait Improvements Achieved With Dopaminergic Medication During Usual Walking and Obstacle Avoidance in Parkinson Disease

Background Dopaminergic medication improves gait in people with Parkinson disease (PD). However, it remains unclear if dopaminergic …
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Feasibility of combining functional near-infrared spectroscopy with electroencephalography to identify chronic stroke responders to cerebellar transcranial direct current stimulation—a computational modeling and portable neuroimaging methodological study

Feasibility of portable neuroimaging of cerebellar transcranial direct current stimulation (ctDCS) effects on the cerebral cortex has …
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Short report on research trends during the COVID-19 pandemic and use of telehealth interventions and remote brain research in children with autism spectrum disorder

Following the outbreak of the COVID-19 pandemic, the delivery of face-to-face (F2F) therapeutic interventions and neuroimaging …
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Is Cortical Activation During Walking Different Between Parkinson's Disease Motor Subtypes?

Parkinson’s disease (PD) is often classified into tremor dominant (TD) and postural instability gait disorder (PIGD) subtypes. …
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Neurophysiological correlates of tDCS-induced modulation of cortical sensorimotor networks: A simultaneous fNIRS-EEG study

Transcranial direct current stimulation (tDCS) is a noninvasive and portable brain stimulation technique that is ideally suited to …
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Using noninvasive methods to drive brain-computer interface (BCI): The role of electroencephalography and functional near-infrared spectroscopy in BCI

The success of brain-computer interfaces (BCI) systems is largely dependent on the ability to record and interpret clear …
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NIRS-EEG joint imaging during transcranial direct current stimulation: Online parameter estimation with an autoregressive model

Background Transcranial direct current stimulation (tDCS) has been shown to perturb both cortical neural activity and hemodynamics …
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Near-infrared spectroscopy - electroencephalography-based brain-state-dependent electrotherapy: A computational approach based on excitation-inhibition balance hypothesis

Stroke is the leading cause of severe chronic disability and the second cause of death worldwide with 15 million new cases and 50 …
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Effective Connectivity of Cortical Sensorimotor Networks During Finger Movement Tasks: A Simultaneous fNIRS, fMRI, EEG Study

Recently, interest has been growing to understand the underlying dynamic directional relationship between simultaneously activated …
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Temporal cortex activation to audiovisual speech in norma-hearing and cochlear implant users measured with functional near-infrared spectroscopy

Background: Speech understanding may rely not only on auditory, but also on visual information. Non-invasive functional neuroimaging …
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Investigating deep learning for fNIRS based BCI

Functional Near infrared Spectroscopy (fNIRS) is a relatively young modality for measuring brain activity which has recently shown …
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Electrocortical and Hemodynamic Changes within the Brain during Incremental Bicycle Exercise in Normoxia and Hypoxia—A Combined EEG/NIRS Study

Title from masthead (publisher’s Web site, viewed Apr. 16, 2003).
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Exploring the capability of wireless near infrared spectroscopy as a portable seizure detection device for epilepsy patients

Purpose Near infrared spectroscopy (NIRS) has proved useful in measuring significant hemodynamic changes in the brain during epileptic …
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Investigating online effects of transcranial direct current stimulation from NIRS-EEG joint-imaging using Kalman Filter based online parameter estimation of an autoregressive model Investigating online effects of transcranial direct current stimulation fr

Although, there has been a significant improvement in neuroimaging technologies and analysis methods, the fundamental relationship …
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A hybrid EEG-fNIRS BCI: Motor imagery for EEG and mental arithmetic for fNIRS

In this paper, we have combined electroencephalography (EEG) and functional near-infrared spectroscopy (fNRIS) to make a hybrid …
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Combined EEG-fNIRS decoding of motor attempt and imagery for brain switch control: An offline study in patients with tetraplegia

Combining electrophysiological and hemodynamic features is a novel approach for improving current performance of brain switches based …
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Multimodal integration of fNIRS, fMRI and EEG neuroimaging

Investigating human brain function can be improved byemploying a multimodal neuroimaging approach. The integrationof different …
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Measuring workload using a combination of electroencephalography and near infrared spectroscopy

The ability to continuously monitor workload in a real-world environment would have important implications for the offline design of …
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TMS: A navigator for NIRS of the primary motor cortex?

Near-infrared spectroscopy (NIRS) is a non-invasive optical imaging technique, which is increasingly used to measure hemodynamic …
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Effects of skin on bias and reproducibility of near-infrared spectroscopy measurement of cerebral oxygenation changes in porcine brain

The influence of skin on the bias and reproducibility of regional cerebral oxygenation measurements is investigated using cw …
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