Comparing structure–function relationships in brain networks using EEG and fNIRS DOI Creative Commons
Rosmary Blanco, Maria Giulia Preti, Cemal Koba

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Ноя. 22, 2024

Identifying relationships between structural and functional networks is crucial for understanding the large-scale organization of human brain. The potential contribution emerging techniques like near-infrared spectroscopy to investigate structure–functional relationship has yet be explored. In our study, using simultaneous Electroencephalography (EEG) Functional (fNIRS) recordings from 18 subjects, we characterize global local structure–function coupling source-reconstructed EEG fNIRS signals in both resting state motor imagery tasks, as this during task periods remains underexplored. Employing mathematical framework graph signal processing, how varies across electrical hemodynamic different brain states. Results show that resembles slower-frequency at rest, with variations states oscillations. Locally, heterogeneous, greater sensory cortex increased decoupling association cortex, following unimodal transmodal gradient. Discrepancies are noted, particularly frontoparietal network. Cross-band representations neural activity revealed lower correspondence irrespective while showing specificity somatomotor network a task. Overall, these findings initiate multimodal comprehension when affordable imaging.

Язык: Английский

Applications and advances of combined fMRI-fNIRs techniques in brain functional research DOI Creative Commons
Lin Yang, Zehua Wang

Frontiers in Neurology, Год журнала: 2025, Номер 16

Опубликована: Март 18, 2025

Understanding the intricate functions of human brain requires multimodal approaches that integrate complementary neuroimaging techniques. This review systematically examines integration functional magnetic resonance imaging (fMRI) and near-infrared spectroscopy (fNIRs) in research, addressing their synergistic potential, methodological advancements, clinical neuroscientific applications, persistent challenges. We conducted a comprehensive literature 63 studies (from PubMed Web Science up to September 2024) using keyword combinations such as fMRI, fNIRs, imaging. Our analysis reveals three key findings: (1) Methodological Synergy: Combining fMRI's high spatial resolution with fNIRs's superior temporal portability enables robust spatiotemporal mapping neural activity, validated across motor, cognitive, tasks. Additionally, this study experimental paradigms data processing techniques essential for effective neuroimaging. (2) Applications: The categorizes methodologies into synchronous asynchronous detection modes, highlighting respective applications localization, validation efficacy, mechanism discovery. Synchronous modes have advanced research neurological disorders (e.g., stroke, Alzheimer's), social cognition, neuroplasticity, while novel hyperscanning extend naturalistic, interactive settings. (3) Challenges: Hardware incompatibilities electromagnetic interference MRI environments), limitations restricted motion paradigms), fusion complexities hinder widespread adoption. future direction emphasizes hardware innovation (such fNIR probe compatible MRI), standardized protocol driven by machine learning, etc. solve depth limitation infer subcortical activities. synthesis underscores transformative potential fMRI-fNIRs bridging gaps neuroimaging, enhancing diagnostic therapeutic strategies paving way innovations research.

Язык: Английский

Процитировано

1
Continuous Wave-Diffuse Optical Tomography (CW-DOT) in Human Brain Mapping: A Review DOI Creative Commons

Shuyuan Guan,

Yuhang Li, Yuanyuan Gao

и другие.

Sensors, Год журнала: 2025, Номер 25(7), С. 2040 - 2040

Опубликована: Март 25, 2025

Continuous wave-diffuse optical tomography (CW-DOT) has emerged as a promising non-invasive neuroimaging technique for assessing brain function. Its ability to provide mapping with high spatial resolution over traditional functional near-infrared spectroscopy (fNIRS) garnered significant interest in clinical and cognitive neuroscience. In this review, we critically summarized the hardware, reconstruction algorithms, applications of CW-DOT human mapping, providing an up-to-date overview guidelines future studies conduct studies. ScienceDirect, PubMed, Web Science, IEEE Xplore databases were searched from their inception up 1 July 2024. A total 83 articles included final systematic review. The review focused on existing hardware systems, algorithms CW-DOT, both settings Finally, highlighted current challenges potential directions research, including absence standardized protocols pressing need enhanced quantitative precision. This underscores sophisticated capabilities particularly realm imaging. Extensive neuroscience research attested technique's anatomical precision reliability, establishing it potent instrument practice.

Язык: Английский

Процитировано

0
Functional connectivity of default mode network in non-hospitalized patients with post-COVID cognitive complaints DOI Creative Commons

D. L. Madden,

Tressie M. Stephens,

Jim Scott

и другие.

Frontiers in Neuroscience, Год журнала: 2025, Номер 19

Опубликована: Апрель 10, 2025

Neurologic impairment is common in patients with acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection. While severe COVID have a higher prevalence of neurologic symptoms, as many one five mild may also be affected, exhibiting impaired memory well other cognitive dysfunctions. To characterize the effect on brain, current study recruited group adults post-COVID complaints but mild, non-hospitalized cases. They were then evaluated through formal neuropsychological testing and underwent functional MRI brain. The participants our performed nearly expected for cognitively intact individuals. Additionally, we characterized connectivity default mode network (DMN), which known functions including attention involved normal aging degenerative diseases. Along retention DMN, results found DMN to associated neurocognitive performance region-of-interest whole-brain analyses. between key nodes was positively correlated scores (r = 0.51, p 0.02), performers connectivity. Our findings provide neuroimaging evidence brain networks among individuals experiencing deficits beyond recovery COVID. These imaging outcomes indicate trends furthering understanding guidance recovering from

Язык: Английский

Процитировано

0
Controlling jaw-related motion artifacts in functional near-infrared spectroscopy DOI Creative Commons
Fan Zhang,

Adaira Reid,

Alissa Schroeder

и другие.

Journal of Neuroscience Methods, Год журнала: 2023, Номер 388, С. 109810 - 109810

Опубликована: Фев. 2, 2023

Functional near-infrared spectroscopy (fNIRS) as a non-invasive optical neuroimaging technique has demonstrated great potential in monitoring cerebral activity. Due to its portability and compatibility with medical implants, fNIRS seen increasing applications studying the hearing, language cognitive functions. However, is susceptible artifacts related jaw movements, such teeth clenching, swallowing speaking, which affect recordings over temporal, parietal frontal/prefrontal cortices. We investigated two new approaches control jaw-related motion artifacts, an individually customized bite bar apparatus denoising algorithm namely PCA-GLM based on multi-channel from long-separation short-separation montage. first recorded data while subjects performed clenching task, then auditory task resting-state without bar. Our results have shown that can introduce spurious, task-evoked-like responses signals. A for each participant effectively suppressed movement-related activities fNIRS, at both conditions. Moreover, method are improve responses, by significantly reducing within-subject standard deviation, task-related contrast-to-noise ratio, yielding stronger activations stimuli. The current study novel will benefit of functions normal healthy patients.

Язык: Английский

Процитировано

4
Distinct Time-Resolved Brain-Wide Coactivations in Oxygenated and Deoxygenated Hemoglobin DOI Creative Commons
Ali Fahim Khan, Han Yuan, Zachary A. Smith

и другие.

IEEE Transactions on Biomedical Engineering, Год журнала: 2024, Номер 71(8), С. 2463 - 2472

Опубликована: Март 18, 2024

Human resting-state networks (RSNs) estimated from oxygenated (HbO) and deoxygenated hemoglobin (HbR) data exhibit strong similarities, while task-based studies show different dynamics in HbR HbO responses. Such a discrepancy might be explained due to time-averaged estimations of RSNs. Our study investigated differences between on time-resolved brain-wide coactivation patterns (CAPs).

Язык: Английский

Процитировано

1
Structure-Function Relationship in Electrical and Hemodynamic Brain Networks: Insights from EEG and fNIRS during Rest and Task States DOI
Rosmary Blanco, Maria Giulia Preti, Cemal Koba

и другие.

Опубликована: Апрель 29, 2024

ABSTRACT Identifying relationships between structural and functional networks is crucial for understanding the large-scale organization of human brain. The potential contribution emerging techniques like near-infrared spectroscopy to investigate structure-functional relationship has yet be explored. In our study, we characterize global local structure-function coupling using source-reconstructed Electroencephalography (EEG) Functional (fNIRS) signals in both resting state motor imagery tasks, as this during task periods remains underexplored. Employing mathematical framework graph signal processing, how varies across electrical hemodynamic different brain states. Results show that fNIRS resembles slower-frequency EEG at rest, with variations states oscillations. Locally, heterogeneous, greater sensory cortex increased decoupling association cortex, following unimodal transmodal gradient. Discrepancies are noted, particularly frontoparietal network. Cross-band representations neural activity revealed lower correspondence irrespective while showing specificity somatomotor network a task. Overall, these findings initiate multimodal comprehension when affordable imaging.

Язык: Английский

Процитировано

1
Test-retest Reliability of Neurovascular Coupling and Impairment in Epilepsy Measured by fNIRS and EEG DOI

Q.T. Smith,

Intouch August Limvaree,

Jesse Farrand

и другие.

Опубликована: Июль 15, 2024

Simultaneous fNIRS-EEG is a cost efficient, noninvasive, and adaptable multimodal imaging method that measures both the hemodynamics electrical activity of brain. Neurovascular coupling (NVC) an important mechanism in brain which increased neuronal propels increase oxygenated hemoglobin as well decrease deoxygenated local cerebral blood flow to specific area. Previous literature has suggested NVC may be impaired individuals with epilepsy. The unique approach measure quantify via intriguing probe clinical settings. Therefore, purpose present study determine reliability group healthy subjects investigate pilot sample epileptic patients compare through series auditory tasks using simultaneous fNIRS-EEG. Results showed excellent test-retest agreement fNIRS responses for control group. Meanwhile, abnormally lower were observed patient These results provide data fNIRS-EEG-based testing show promise can detect individuals.

Язык: Английский

Процитировано

1
Comparing structure–function relationships in brain networks using EEG and fNIRS DOI Creative Commons
Rosmary Blanco, Maria Giulia Preti, Cemal Koba

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Ноя. 22, 2024

Identifying relationships between structural and functional networks is crucial for understanding the large-scale organization of human brain. The potential contribution emerging techniques like near-infrared spectroscopy to investigate structure–functional relationship has yet be explored. In our study, using simultaneous Electroencephalography (EEG) Functional (fNIRS) recordings from 18 subjects, we characterize global local structure–function coupling source-reconstructed EEG fNIRS signals in both resting state motor imagery tasks, as this during task periods remains underexplored. Employing mathematical framework graph signal processing, how varies across electrical hemodynamic different brain states. Results show that resembles slower-frequency at rest, with variations states oscillations. Locally, heterogeneous, greater sensory cortex increased decoupling association cortex, following unimodal transmodal gradient. Discrepancies are noted, particularly frontoparietal network. Cross-band representations neural activity revealed lower correspondence irrespective while showing specificity somatomotor network a task. Overall, these findings initiate multimodal comprehension when affordable imaging.

Язык: Английский

Процитировано

0