Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade

Information Fusion, Journal Year: 2023, Volume and Issue: 99, P. 101898 - 101898

Published: June 25, 2023

Mental health is a basic need for sustainable and developing society. The prevalence financial burden of mental illness have increased globally, especially in response to community worldwide pandemic events. Children suffering from such disorders find it difficult cope with educational, occupational, personal, societal developments, treatments are not accessible all. Advancements technology resulted much research examining the use artificial intelligence detect or identify characteristics illness. Therefore, this paper presents systematic review nine developmental (Autism spectrum disorder, Attention deficit hyperactivity Schizophrenia, Anxiety, Depression, Dyslexia, Post-traumatic stress Tourette syndrome, Obsessive-compulsive disorder) prominent children adolescents. Our focuses on automated detection these using physiological signals. This also detailed discussion signal analysis, feature engineering, decision-making their advantages, future directions challenges papers published children. We presented details dataset description, validation techniques, features extracted models. present open questions availability, uncertainty, explainability, hardware implementation resources analysis machine deep learning Finally, main findings study conclusion section.

Language: Английский

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Editorial: Multimodal approaches to investigating neural dynamics in cognition and related clinical conditions: integrating EEG, MEG, and fMRI data

Frontiers in Systems Neuroscience, Journal Year: 2025, Volume and Issue: 19

Published: Feb. 11, 2025

neuroanatomical information, behavioral data including performance evaluations on a working memory task, were analyzed as key indicator of the effects neurofeedback and associated cerebral hemodynamic changes over time. The findings indicated that training was effective in enhancing prefrontal activity maintaining cognitive function acute stroke patients. multidimensional approach enabled thorough examination relationship between brain structure, function, behavior.Jones, Keith G., et al. conducted detailed EEG patterns during propofol-induced burst suppression patients with treatment-resistant depression. Their study identifies distinct types activity, highlighting variability neural responses to anesthesia. Participants randomized receive either high-or low-dose propofol infusions. identified three 1-broadband bursts, 2-spindles, 3-low-frequency each varying significantly across subjects terms occurrence, spectral power, spatial scalp. Combining clinical (e.g., drug dosages patient characteristics) provided valuable insights into individualization anesthetic dosing diverse propofol, potentially leading more tailored treatment strategies practice.In another study, Mertiens, Sean, investigated how Parkinson's disease (PD) affects resting state networks (RSNs) using MEG measure phase-amplitude coupling (PAC). This combined T1-MRI scans. captured dynamic oscillations PAC within RSNs, while accurate source reconstruction signals. integration allows for precise mapping RSNs revealed significant alterations these PD compared healthy controls, particularly sensorimotor network (SMN). Levodopa medication normalized SMN toward similar though no observed optimal frequencies, suggesting levodopa primarily motor symptoms without influencing all same way.The results above-mentioned studies demonstrate combining different modalities can enhance process provide deeper diseases disorders. However, previously discussed, integrating multiple present challenges, some are focused improving addressing technical issues. Karittevlis, Christodoulos, introduce novel method analyzing evoked somatosensory stimulation, aimed at identifying early thalamus cortex. EEG-MEG often face challenges accurately determining due reliance complex models many assumptions. These be inaccurate because skull distorts electrical Additionally, stimulus trials complicate achievement consistent results. proposes straightforward bypasses modeling uses called virtual sensors (VS), which combines directly capture activity. improves accuracy elicited trial-to-trial variability, offering clearer reliable communication regions. By simplifying computational processes, authors potential applications real-time brain-computer interfaces, practical benefits multimodal approaches applied neuroscience.The by Dayarian, N, Khadem, A leverages recording MRI-based head new algorithm localization. Accurate localization is crucial diagnosing planning treatments neurological disorders such epilepsy, precisely location abnormal It also plays role surgical planning, helping minimize damage critical regions, aids monitoring progression tailoring individual patients, thus personalized medicine (Yang al., 2023).However, faces several geometry brain, complicates modeling. Traditional methods struggle heterogeneous properties tissues low resolution EEG, making it difficult differentiate closely situated sources. signals susceptible noise artifacts, muscle or eye movements, obscure true hinder (Michel Brunet, 2019;Hirata 2024). Many techniques rely assumptions about models, may not reflect anatomical variations, further impacting (Hirata co-registration model critical, any misalignment affect results.Dayarian, propose hybrid strengths boundary element (BEM) finite (FEM), address challenges. BEM effectively isotropic regions dipolar sources, FEM handles complex, anisotropic greater accuracy. validating this realistic achieves improvements forward problem solutions. demonstrates enhanced error metrics alone, value incorporating information from MRI improve precision neuroimaging analyses.Each imaging has its own advantages limitations, outlined Table 1. To fast dynamics, high temporal essential rapid Among non-invasive techniques, stand out their millisecondlevel resolution, them ideal studying processes. In contrast, fMRI fNIRS offer order seconds, limits applicability investigating dynamics.In most sensitive fMRI, followed fNIRS, MEG, EEG. High mapping. offers highest (in millimeters), allowing visualization active layers. lowest resolution. Although have been developed mitigate limitation, they volume conduction require density electrodes determine (Liu 2023).Apart factors usage complexity, portability, cost considerations when se Apart selecting method. leverage various limitations technique, recommended. simultaneous use two presents following sections.The primary advantage EEG-fMRI co-recording ability both (through data) data), resulting comprehensive understanding One issue need MR-compatible hardware, increase costs. systems designed non-magnetic induced voltages currents could arise radiofrequency gradient fields scans (Mele 2019;Scrivener, 2021;Warbrick, 2022). If adequately controlled, cause heating ECG leads, posing risks participants (Kugel 2003).To risks, careful design wires materials resistant built-in resistors necessary. addition, magnetic environment quality signals, reduce signal-to-noise ratio, post-processing influence MRI's fields, effect generally minimal disregarded. typically lying down, suitable requiring positions, sitting, standing, walking. Moreover, environment's cold temperatures intense uncomfortable especially children elderly, confounding Lastly, well-suited sleep disorder discomfort impracticality extended scanning sessions (Duyn, 2012;Mele 2019;Ebrahimzadeh 2022).Analyzing recordings unique requires specific methods. Common analysis include (Huster 2012;Abreu 2018):1. Symmetrical Approaches  Model-Based Techniques: involve creating mathematical understand data. complexities ensuring Despite mentioned frequently used than other approaches. preference likely maturity technologies relatively lower systems.While notable lack inability record sitting standing restricted duration, an noisy. Functional near-infrared spectroscopy (fNIRS) addresses measuring metabolic similarly but flexibility. influenced differences skin color hair type, positions (sitting, walking) periods. Consequently, EEG-fNIRS provides solution concerns portability systems. smaller maintenance requirements 2021;Uchitel 2021).One challenge configuring related interference. Ongoing technological development needed (Ahn Jun, 2017;Chen 2020;Li 2022).Pre-processing processing modality steps, introduces additional negative impact one modalities. solutions (Hossain 2022;Li 2022;Mughal 2022) facilitates data, thereby overall function.Simultaneous achieve necessity systems, adverse recordings. researchers employ (Im 2005;Plis 2010;Hall 2014;Cichy 2016):1. Minimize Temporal Overlap: Reduce concurrent time lessen 2. Use Precise Timing Triggers: Ensure alignment timing triggers. 3. Shield sensors: Protect external electromagnetic 4. Apply ICA: ICA separate signals.These help difficulties facilitating data.To MEG-fMRI co-recording, replacing advantageous. substitution reducing MEG's higher superior ratio common MEG-fNIRS MEG-fNIRS. difficulty achieving arises differing physical modality. For instance, configuration optodes necessitates placement align optimally measurement points (Ru 2022).To analyze integrate preprocessing fusion recommended:1. Alignment: Synchronize reference. MEG: filtering remove drifts high-frequency noise, artifacts. fNIRS: Perform baseline correction detrending manage slow wavelet adaptive handle motion physiological noise.3. Spatial Align coordinates reference.4. Data Standardization: comparability standardizing data.Feature Extraction Fusion: Extract relevant features datasets combine advanced canonical correlation (CCA), joint independent component (jICA), algorithms.These enable interpretation datasets.Along methods, functions Behavioral includes person's psychological tasks, response time, correlate behaviors, providing processed brain. electrophysiological reveal brain-behavioral interactions view functions.Thus, choice depends research type objectives. 2 summary, continue advance, pivotal developing diagnostic therapeutic psychiatric Future should focus analysis, optimizing sensor configurations, robust Such advancements deepen our pathology, opportunities neuroscience applications. Notably, review articles cover combination separately, collection original empirical value.

Language: Английский

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Diagnostic and monitoring applications using near infrared (NIR) spectroscopy in cancer and other diseases

Photodiagnosis and Photodynamic Therapy, Journal Year: 2023, Volume and Issue: 42, P. 103633 - 103633

Published: May 27, 2023

Early cancer diagnosis plays a critical role in improving treatment outcomes and increasing survival rates for certain cancers. NIR spectroscopy offers rapid cost-effective approach to evaluate the optical properties of tissues at microvessel level provides valuable molecular insights. The integration with advanced data-driven algorithms portable instruments has made it cutting-edge technology medical applications. is simple, non-invasive affordable analytical tool that complements expensive imaging modalities such as functional magnetic resonance imaging, positron emission tomography computed tomography. By examining tissue absorption, scattering, concentrations oxygen, water, lipids, can reveal inherent differences between tumor normal tissue, often revealing specific patterns help stratify disease. In addition, ability assess blood flow, oxygenation, oxygen metabolism key paradigm its application diagnosis. This review evaluates effectiveness detection characterization disease, particularly cancer, or without incorporation chemometrics machine learning algorithms. report highlights potential significantly improve discrimination benign malignant tumors accurately predict outcomes. more applications are studied large patient cohorts, consistent advances clinical implementation be expected, making adjunct therapy management. Ultimately, into diagnostics promises prognosis by providing new insights physiology.

Language: Английский

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Advanced near‐infrared light approaches for neuroimaging and neuromodulation

BMEMat, Journal Year: 2023, Volume and Issue: 1(2)

Published: May 5, 2023

Abstract Almost all physiological processes of animals are controlled by the brain, including language, cognitive, memory, learning, emotion and so forth. Minor brain dysfunction usually leads to diseases disorders. Therefore, it' is greatly meaningful urgent for scientists have a better understanding structure function. Optical approaches can provide powerful tools imaging modulating brain. In particular, optical in near‐infrared (NIR) window (700–1700 nm) exhibit excellent prosperities deep tissue penetration low scattering absorption compared with those visible windows (400–700 nm), which provides promising approach develop desired methods neuroimaging neuromodulation tissues. this review, variable types NIR light neural ions, membrane potential, neurotransmitters, other critical molecules functions summarized. latest breakthrough research regulation NIR‐II (1000–1700 highlighted. Finally, we conclude challenges prospects light‐based both basic further clinical translation.

Language: Английский

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Towards Practical BCI-Driven Wheelchairs: A Systematic Review Study

IEEE Transactions on Neural Systems and Rehabilitation Engineering, Journal Year: 2023, Volume and Issue: 31, P. 1030 - 1044

Published: Jan. 1, 2023

The use of brain signals in controlling wheelchairs is a promising solution for many disabled individuals, specifically those who are suffering from motor neuron disease affecting the proper functioning their units. Almost two decades since first work, applicability EEG-driven still limited to laboratory environments. In this systematic review study has been conducted identify state-of-the-art and different models adopted literature. Furthermore, strong emphasis devoted introducing challenges impeding broad technology as well latest research trends each areas.

Language: Английский

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Interdisciplinary views of fNIRS: Current advancements, equity challenges, and an agenda for future needs of a diverse fNIRS research community

Frontiers in Integrative Neuroscience, Journal Year: 2023, Volume and Issue: 17

Published: Feb. 27, 2023

Functional Near-Infrared Spectroscopy (fNIRS) is an innovative and promising neuroimaging modality for studying brain activity in real-world environments. While fNIRS has seen rapid advancements hardware, software, research applications since its emergence nearly 30 years ago, limitations still exist regarding all three areas, where existing practices contribute to greater bias within the neuroscience community. We spotlight through lens of different end-application users, including unique perspective a manufacturer, report challenges using this technology across several disciplines populations. Through review domains utilized, we identify address presence bias, specifically due restraints current technology, limited diversity among sample populations, societal prejudice that infiltrates today's research. Finally, provide resources minimizing application agenda future use equitable, diverse, inclusive.

Language: Английский

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The evolution of neuromodulation for chronic stroke: From neuroplasticity mechanisms to brain-computer interfaces

Neurotherapeutics, Journal Year: 2024, Volume and Issue: 21(3), P. e00337 - e00337

Published: Feb. 19, 2024

Stroke is one of the most common and debilitating neurological conditions worldwide. Those who survive experience motor, sensory, speech, vision, and/or cognitive deficits that severely limit remaining quality life. While rehabilitation programs can help improve patients' symptoms, recovery often limited, patients frequently continue to impairments in functional status. In this review, invasive neuromodulation techniques augment effects conventional methods are described, including vagus nerve stimulation (VNS), deep brain (DBS) brain-computer interfaces (BCIs). addition, evidence base for each these techniques, pivotal trials, future directions explored. Finally, emerging technologies such as near-infrared spectroscopy (fNIRS) shift artificial intelligence-enabled implants wearables examined. field implantable devices chronic stroke still a nascent stage, data reviewed suggestive immense potential reducing impact impairment from globally prevalent disorder.

Language: Английский

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Spatial correspondence of cortical activity measured with whole head fNIRS and fMRI: Toward clinical use within subject

NeuroImage, Journal Year: 2024, Volume and Issue: 290, P. 120569 - 120569

Published: March 8, 2024

Functional near infrared spectroscopy (fNIRS) and functional magnetic resonance imaging (fMRI) both measure the hemodynamic response, so modalities are expected to have a strong correspondence in regions of cortex adjacent scalp. To assess whether fNIRS can be used clinically manner similar fMRI, 22 healthy adult participants underwent same-day fMRI whole-head testing while they performed separate motor (finger tapping) visual (flashing checkerboard) tasks. Analyses were conducted within across subjects for each approach, significant task-related activity compared on cortical surface. The spatial between detection was good terms true positive rate, with overlap up 68% analyses (group analysis) an average 47.25% individual subject. At group level, predictive value 51% relative fMRI. subject lower (41.5%), reflecting presence without activity. This could reflect task-correlated sources physiologic noise and/or differences sensitivity measures changes (vs. combined) oxy de-oxyhemoglobin. results suggest as noninvasive modality promising clinical utility assessment brain superficial physically skull.

Language: Английский

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The Contribution of Functional Near-Infrared Spectroscopy (fNIRS) to the Study of Neurodegenerative Disorders: A Narrative Review

Diagnostics, Journal Year: 2024, Volume and Issue: 14(6), P. 663 - 663

Published: March 21, 2024

Functional near-infrared spectroscopy (fNIRS) is an innovative neuroimaging method that offers several advantages over other commonly used modalities. This narrative review investigated the potential contribution of this to study neurodegenerative disorders. Thirty-four studies involving patients with Alzheimer’s disease (AD), mild cognitive impairment (MCI), frontotemporal dementia (FTD), Parkinson’s (PD), or amyotrophic lateral sclerosis (ALS) and healthy controls were reviewed. Overall, it was revealed prefrontal cortex individuals MCI may engage compensatory mechanisms support declining brain functions. A rightward shift suggested compensate for loss left capacity in course decline. In parallel, some reported failure early AD; lack appropriate hemodynamic responses serve as biomarker neurodegeneration. One article assessing FTD demonstrated a heterogeneous cortical activation pattern compared AD, indicating fNIRS contribute challenging distinction these conditions. Regarding PD, there evidence resources (especially executive function) recruited locomotor impairments. As ALS, data involvement extra-motor networks even absence measurable impairment.

Language: Английский

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Impact of Built Environments on Human Perception: A Systematic Review of Physiological Measures and Machine Learning

Journal of Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 112319 - 112319

Published: March 1, 2025

Language: Английский

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