Frontiers in neuroergonomics最新文献

{"title":"EEG hyperscanning in intellectual disability: a scoping review with implications for cognitive stimulation therapy.","authors":"Pavithra Pavithra, James K Bradshaw Bernacchi, Salma Ahmed, Garret McDermott, Mary McCarron, Philip McCallion, Eimear McGlinchey, Alejandro Lopez Valdes","doi":"10.3389/fnrgo.2026.1757738","DOIUrl":"10.3389/fnrgo.2026.1757738","url":null,"abstract":"<p><p>Electroencephalography (EEG) hyperscanning has emerged as a valuable method for examining social dynamics during group-based activities and may serve as a promising outcome measure in group interventions. Cognitive stimulation therapy (CST) is one such interventions shown to improve cognition and quality of life in people with dementia and has recently been adapted for individuals with intellectual disability (ID). However, the potential for obtaining objective neural markers of CST benefit via EEG and hyperscanning is yet to be explored. This scoping review aims to identify existing evidence and gaps related to the use of EEG within CST research for adults with ID by examining three relevant areas: (1) the use of individual EEG and hyperscanning to evaluate cognitive and social outcomes in CST; (2) the evidence base for individual and group-based CST in people with ID; and (3) the use of EEG to evaluate cognitive and social outcomes for people with ID. Following the PRISMA-ScR guidelines, studies were searched in CINAHL, MEDLINE, PsychInfo, and EMBASE. Our search focused on adult participants with ID and studies that used EEG for the purpose of evaluating cognitive or social outcomes. Currently, there are no studies that use EEG to evaluate CST in adults with ID. Following screening and eligibility assessment, no studies met the inclusion criteria for EEG and CST. Five studies were included for CST and ID, and 14 articles met criteria for EEG and ID. In total, 19 articles were included in the final review. The evidence base suggests that EEG has been successfully used to investigate neural mechanism in ID and Down Syndrome related Alzheimer's disease. Existing CST research in ID remains largely feasibility-focused but some preliminary findings show cognitive benefits, enhanced enjoyment, and social connectedness. Our review shows that there is a large gap when it comes to any objective metrics for CST in general. Given that there is evidence of EEG studies including populations with ID, we propose that this gap can be filled by EEG hyperscanning which offers a non-invasive, objective approach to evaluate cognitive and social outcomes in people with ID in future CST research.</p>","PeriodicalId":517413,"journal":{"name":"Frontiers in neuroergonomics","volume":"7 ","pages":"1757738"},"PeriodicalIF":3.1,"publicationDate":"2026-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13111357/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147793787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial: Virtual and robotic embodiment.","authors":"Giacinto Barresi, Klaus Gramann, Giovanni Vecchiato, Gaetano Tieri, Philipp Beckerle","doi":"10.3389/fnrgo.2026.1805149","DOIUrl":"10.3389/fnrgo.2026.1805149","url":null,"abstract":"","PeriodicalId":517413,"journal":{"name":"Frontiers in neuroergonomics","volume":"7 ","pages":"1805149"},"PeriodicalIF":3.1,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13079273/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147701415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of inter-brain synchrony in group-based electroencephalography to assess task-dependent interactions.","authors":"Alex Kennedy, Nathan Shields, Sean Farrell, Alejandro Lopez Valdes","doi":"10.3389/fnrgo.2026.1774423","DOIUrl":"10.3389/fnrgo.2026.1774423","url":null,"abstract":"<p><strong>Introduction: </strong>Social interaction and cooperative behavior are inherent and important aspects of daily life. Neuroscience research has demonstrated that neural activity synchronizes during cooperative group behavior. Hyperscanning, a method of simultaneously recording neural activity from two or more subjects, allows insight into the underpinnings of neural dynamics.</p><p><strong>Methods: </strong>This study involves a triadic 24-channel EEG hyperscanning experiment, using a cooperative card game to elicit group interaction and cognitive puzzle games as individual control tasks. The study was split into two separate experiments. Experiment One, where two groups repeatedly performed experimental blocks and Experiment Two where 10 individual groups participated in one block, where an adversary was randomly introduced to determine if negative social behavior changed neural synchrony. After removing artefactual contributions of muscle and eyeblink components and task duration discrepancies that may affect the group's synchrony, the neural correlation between subjects was examined via Inter-Subject Correlation (ISC). Linear mixed-effect models were used to assess the magnitude of differences in ISC, unadjusted, and adjusted trial-duration.</p><p><strong>Results: </strong>Similar neural synchrony levels were observed in the group members in Experiment One (unadjusted: cooperative ISC = 0.286 ± 0.013, individual ISC = 0.267 ± 0.02, baseline ISC = 0.219 ± 0.008, duration-adjusted: cooperative ISC = 0.225 ± 0.015, individual ISC = 0.278 ± 0.017, baseline ISC = 0.23 ± 0.007) and Experiment Two (unadjusted and duration-adjusted: cooperative ISC = 0.186 ± 0.009, individual ISC = 0.177 ± 0.01, baseline ISC = 0.157 ± 0.005).</p><p><strong>Discussion: </strong>While no statistically significant differences were found between cooperative and non-cooperative tasks, task-based synchrony was higher than resting state synchrony. Furthermore, significantly higher brain synchrony was observed in cooperative tasks when there were no adversaries present in the group. This study highlights the importance of analysis parameters like the analysis time window and task contrasts avoiding similarities in cognitive demands when evaluating brain synchronization in naturalistic environments for group-based interactions.</p>","PeriodicalId":517413,"journal":{"name":"Frontiers in neuroergonomics","volume":"7 ","pages":"1774423"},"PeriodicalIF":3.1,"publicationDate":"2026-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13076319/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147694595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"SSVEP-driven BCI authentication with reduced number of EEG electrodes across high and low frequency ranges.","authors":"Ayas Kiser, Atilla Cantürk, Ivan Volosyak","doi":"10.3389/fnrgo.2026.1741655","DOIUrl":"10.3389/fnrgo.2026.1741655","url":null,"abstract":"<p><p>Growing concerns over data privacy, credential theft, and spoofing attacks have highlighted the limitations of traditional authentication methods in high-security settings. To address these challenges, we propose a steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) authentication system that verifies short-lived, session-specific identity prompts using neural activity. The proposed system uses a single flickering visual stimulus to encode a unique, system-generated random code that remains unknown to the user. Instead of relying on conscious input, the system directly extracts the user's brain responses to the stimulus. Authentication is achieved by matching the frequency components of the recorded electroencephalography (EEG) signals to those embedded in the visual stimulus, enabling implicit verification without prior training or manual interaction. In an online BCI study involving 21 healthy participants, we evaluated four configurations differing in stimulation frequencies and EEG electrode count. Mean symbol-level accuracy reached 99% (95% CI: 98.3 -99.6) for high-frequency stimulation with three electrodes, 95% (95% CI: 91.1 -98.2) for high-frequency stimulation with a single electrode, 97% (95% CI: 95.1 -98.4) for low-frequency stimulation with three electrodes, and 96% (95% CI: 94.5 -97.8) for low-frequency stimulation with a single electrode. The corresponding mean trial durations were 38.6 s, 76.6 s, 17.2 s, and 27.1 s, respectively. Participants generally rated high-frequency flickering stimuli as more comfortable, whereas setup time and EEG wearability were identified as the main barriers to usability. These findings demonstrate that SSVEP-based authentication can provide accurate and training-free implicit authentication, while also offering potential resistance to spoofing attacks. The results suggest that this passive BCI approach is a promising direction for secure authentication, although practical deployment will require further improvements in speed, comfort, and wearability.</p>","PeriodicalId":517413,"journal":{"name":"Frontiers in neuroergonomics","volume":"7 ","pages":"1741655"},"PeriodicalIF":3.1,"publicationDate":"2026-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13062250/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147679981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identifying neural correlates of cognitive workload in high-performance motorsport simulation: an integrated EEG and telemetry analysis of driver performance.","authors":"Wasinee Terapaptommakol, Yuil Tripathee, Danai Phaoharuhansa, Tipporn Laohakangvalvit","doi":"10.3389/fnrgo.2026.1765659","DOIUrl":"10.3389/fnrgo.2026.1765659","url":null,"abstract":"<p><p>High-performance motorsport requires precise cognitive regulation and rapid decision-making under extreme dynamic conditions, yet traditional vehicle telemetry alone cannot reveal the psychophysiological mechanisms that influence driving performance. This study presents an integrated neuroengineering framework combining electroencephalography (EEG), and vehicle telemetry to identify objective neural markers of cognitive workload, emotional valence, and mental fatigue in a high-fidelity Formula 1 simulation. 15 participants drove on the Silverstone Circuit in the simulation platform, during which physiological data were continuously recorded and synchronized. Performance tiers were classified using k-means clustering on lap times and trajectory consistency, followed by EEG-based analysis of workload and fatigue indices. Results showed that high-performing drivers exhibited efficient workload modulation, higher alertness, and reduced fatigue compared to lower-performing drivers. A track-specific \"cognitive workload profile\" was also identified, revealing that technically demanding corners induced higher neural workload, whereas moderate turns corresponded to transient engagement peaks. The findings demonstrate that integrating EEG with telemetry enables objective, data-driven assessment of driver cognitive states and provides a foundation for predictive modeling, driver performance optimization, and advanced simulation-based training systems in high-performance vehicle engineering.</p>","PeriodicalId":517413,"journal":{"name":"Frontiers in neuroergonomics","volume":"7 ","pages":"1765659"},"PeriodicalIF":3.1,"publicationDate":"2026-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13012976/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147523129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Not just heard, but judged: a multidimensional perspective on auditory attention in everyday life.","authors":"Silvia Korte, Martin G Bleichner","doi":"10.3389/fnrgo.2026.1693662","DOIUrl":"10.3389/fnrgo.2026.1693662","url":null,"abstract":"<p><p>This review examines how listeners evaluate sounds in everyday contexts and how auditory attention research has approached this process. While experimental paradigms have yielded important insights into auditory processing, their constructs often rely on task-specific definitions that may not fully reflect how sounds are perceived and interpreted outside the laboratory. We argue that auditory evaluation is shaped by the interaction of acoustic properties, affective tone, task demands, and contextual framing. To account for this, we propose a multidimensional framework based on arousal, valence, and context, which enables a more flexible characterization of how sounds are judged in everyday listening. We also examine how different methodological approaches highlight distinct facets of this evaluative process. By focusing on the conditions under which sounds are experienced, this review contributes to a more integrative understanding of auditory attention across both controlled and naturalistic settings.</p>","PeriodicalId":517413,"journal":{"name":"Frontiers in neuroergonomics","volume":"7 ","pages":"1693662"},"PeriodicalIF":3.1,"publicationDate":"2026-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12968287/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147438589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-method characterization of neurophysiological and biological stress responses in surgical teams during real surgical procedures.","authors":"Vincenzo Ronca, Lidia Castagneto Gissey, Maria Irene Bellini, Alessandra Iodice, Valentina Sada, Emilia Sbardella, Ludovica Vincenzi, Pietro Aricò, Gianluca Di Flumeri, Andrea Giorgi, Alessia Vozzi, Rossella Capotorto, Fabio Babiloni, Giovanni Casella, Gianluca Borghini","doi":"10.3389/fnrgo.2026.1702748","DOIUrl":"10.3389/fnrgo.2026.1702748","url":null,"abstract":"<p><strong>Purpose: </strong>The surgical operating room is a high-stakes environment where stress can impact performance and patient safety. While hormonal and neurophysiological markers are established stress indicators, integrative studies in real-world surgical settings are scarce. This study aimed to provide a comprehensive, multimodal characterization of stress in surgical teams during live operations, comparing neurophysiological, biological, and behavioral responses across different levels of expertise and surgical phases. The goal was to validate a multi-method approach and identify objective markers for monitoring stress in real-time.</p><p><strong>Method: </strong>Surgical teams, each composed of four members, were categorized as \"Expert\" or \"Novice\" based on the lead surgeon's experience. All teams performed a standardized inguinal hernia repair. Continuous electroencephalography (EEG) and electrodermal activity (EDA) were recorded throughout the procedure to derive stress indices. Blood samples were collected pre- and post-surgery to measure Adrenocorticotropic Hormone (ACTH) and cortisol levels. Subjective stress was assessed via questionnaires, and team performance was quantified using a Combined Behavioral Teamwork Index (CBTI) based on surgical time, materials used, and patient outcomes.</p><p><strong>Finding: </strong>Neurophysiological data showed that the EEG-based stress index was significantly higher in Novice surgeons compared to Experts, particularly during the final and most demanding phase of the surgery (<i>p</i> = 0.008). This effect was most pronounced for the lead Novice surgeon (<i>p</i> = 0.01). Similarly, the EDA-based stress index was higher overall in Novices (<i>p</i> = 0.02). Post-surgery, ACTH levels increased significantly in Novices while decreasing in Experts (<i>p</i> = 0.008), indicating a sustained endocrine stress response in the less experienced group. Strong positive correlations were found between the EEG-stress index and both ACTH levels (<i>R</i> = 0.67) and subjective stress (<i>R</i> = 0.63), validating the multimodal assessment.</p><p><strong>Conclusion: </strong>This study demonstrates that a multimodal approach can effectively characterize stress dynamics in a real-world surgical environment. The EEG-derived metric emerged as the most sensitive indicator, capable of discriminating stress levels with high temporal and role-specific precision. Novice surgeons exhibit significantly greater neurophysiological and endocrine stress responses, underscoring the need for targeted support and advanced training protocols. These findings lay the groundwork for developing real-time, objective stress monitoring systems to enhance surgical performance, training, and patient safety.</p>","PeriodicalId":517413,"journal":{"name":"Frontiers in neuroergonomics","volume":"7 ","pages":"1702748"},"PeriodicalIF":3.1,"publicationDate":"2026-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12957276/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147367806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"When robots reshape teams: neurodynamic insights into taskwork and teamwork in search and rescue.","authors":"Robert J Spenceley, Ranjana K Mehta","doi":"10.3389/fnrgo.2026.1771753","DOIUrl":"10.3389/fnrgo.2026.1771753","url":null,"abstract":"<p><strong>Introduction: </strong>Beyond traditional, dyadic human-robot interaction, embedding robots into multi-human teams, such as search and rescue (SAR), requires an understanding of fundamental aspects of team composition and dynamics. While considerable work has examined how robot agents influence both taskwork and teamwork, few studies have focused on identifying which factor best explains differences in team outputs. This research investigates the neurodynamics of taskwork and teamwork as SAR teams transition between multi-human (mH) and multi-human-robot (mHR) configurations.</p><p><strong>Methods: </strong>Electroencephalogram (EEG) has been a key tool in human teamwork research because of its sensitivity to changes in cognitive states such as mental workload, sustained attention, and engagement. Specifically, EEG power spectral density (PSD), particularly frontal theta activity (4-7 Hz), has been used to assess variations in mental workload and social cognition associated with task performance. EEG hyperscanning, which evaluates interbrain synchrony between two or more individuals, using metrics such as weighted phase lag index (wPLI), has been widely employed to study teamwork among humans. In this study, PSD and EEG hyperscanning were used to analyze taskwork and teamwork in 22 teams comprising a highly engaged SAR team member (mission commander), a less-involved member (safety officer), and a navigator as they searched for victims in a virtual emergency environment. The navigator was either a trained researcher posing as a participant or a virtual robot, with the robot's performance manipulated using the Wizard of Oz technique.</p><p><strong>Results: </strong>Results for taskwork show that the social-cognitive abilities of mission commanders, but not those of safety officers, are adversely impacted by a robot navigator compared with a human navigator, despite the perceived workload remaining stable. Although team trust outcomes were similar, neural synchrony across occipital, parietal, and temporal regions increased in mHR teams relative to mH teams, indicating different neurodynamical patterns of teamwork.</p><p><strong>Discussion: </strong>The study findings provide evidence that both taskwork and teamwork are fundamentally altered in mHR teams, regardless of the effectiveness of robotic capabilities and functions, compared with mH teams. Therefore, beyond dyadic interactions, multi-human robot teaming must be viewed as a fundamentally distinct team construct rather than simply an extension of human-human teaming.</p>","PeriodicalId":517413,"journal":{"name":"Frontiers in neuroergonomics","volume":"7 ","pages":"1771753"},"PeriodicalIF":3.1,"publicationDate":"2026-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12932610/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147313905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hybrid EEG-fNIRS phoneme classification based on imagined and perceived speech.","authors":"Manuel Hons, Silvia Erika Kober, Selina Christin Wriessnegger, Guilherme Wood","doi":"10.3389/fnrgo.2026.1696865","DOIUrl":"10.3389/fnrgo.2026.1696865","url":null,"abstract":"<p><strong>Introduction: </strong>Individuals affected by severe motor impairments often have no means of communicating with others. To build an intuitive speech prosthesis, imagined speech brain-computer interface research began to prosper with numerous studies attempting to classify imagined speech from brain signals. While unimodal neuroimaging techniques, such as electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) have been widely used, multimodal approaches combining two or more of them remain scarce.</p><p><strong>Methods: </strong>In this study offline phoneme decoding based on hybrid EEG-fNIRS data was performed. Twenty-two right-handed participants performed imagined and perceived speech trials encompassing four phonemes /a/,/i/,/b/ and /k/. Features in the form of power spectral densities and mean hemoglobin concentration changes were extracted from EEG and fNIRS data, respectively. Features were ranked according to the mutual information criterion relative to the target vector, and the optimal number of features to include was determined through optimization via 10-fold cross-validation.</p><p><strong>Results: </strong>Hybrid classification yielded accuracy scores of 77.29% and 76.05% regarding imagined and perceived speech, respectively. In both conditions, hybrid and EEG-based classification performances did not differ significantly, while fNIRS based phoneme discrimination produced lower accuracies.</p><p><strong>Discussion: </strong>This study represents an innovative phoneme decoding attempt based on multimodal EEG-fNIRS data, both in terms of imagined speech and perception. Four-class imagined speech classification was primarily driven by EEG features yet outperformed comparable previous studies.</p>","PeriodicalId":517413,"journal":{"name":"Frontiers in neuroergonomics","volume":"7 ","pages":"1696865"},"PeriodicalIF":3.1,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12929534/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147313932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reviewing digital collaborative interactions with multimodal hyperscanning through an ever-growing database.","authors":"Anna Vorreuther, Anne-Marie Brouwer, Mathias Vukelić","doi":"10.3389/fnrgo.2026.1756956","DOIUrl":"10.3389/fnrgo.2026.1756956","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Introduction: &lt;/strong&gt;Digital technologies now mediate a substantial proportion of human collaboration, reshaping how individuals coordinate attention, share information, and jointly act on goals. These digitally mediated interactions engage neural, physiological, and behavioral processes differently compared to face-to-face settings. Mobile hyperscanning, i.e., simultaneous (neuro-)physiological measures of two or more individuals, offers a unique window into these multidimensional dynamics. Yet, the existing literature is highly fragmented in design, modality, and analytic rigor, making it difficult to accumulate knowledge. This review systematically synthesizes hyperscanning research investigating collaboration involving digital components and identifies key methodological and conceptual gaps that must be addressed to advance the field.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;We searched Scopus, PubMed, and Web of Science (April 2025) for mobile hyperscanning studies on digital collaboration. Forty-five eligible studies involving simultaneous measurements of at least two healthy adults engaged in collaborative tasks with a digital interaction component were included. Studies were categorized across 13 dimensions, including modality, task design, interaction type, analysis method, and cognitive domain. To ensure transparency and support cumulative synthesis, we created a continuously updated online resource (\"InterBrainDB\").&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Most studies relied on unimodal neuroimaging, predominantly electroencephalography (EEG) or functional near-infrared spectroscopy (fNIRS), with only seven studies implementing multimodal combinations. Study designs favored cooperative tasks or naturalistic scenarios with symmetrical roles, typically using same-sex dyads of unfamiliar individuals. Non-verbal interaction was studied slightly more often than verbal. Analytically, functional connectivity dominated, whereas effective connectivity, multimodal fusion, and machine learning were scarcely used. Executive and social cognition were more frequently investigated than creativity, memory, and language.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Discussion: &lt;/strong&gt;Research on digital collaboration through hyperscanning is growing, yet progress is limited by methodological heterogeneity, narrow use of modalities, and analytical conservatism. Future advances will require: (1) multimodal integration to fully capture neural, physiological, and behavioral dynamics; (2) systematic comparisons across varying degrees of digitalization to understand how technology shapes interaction; (3) physiology-informed analysis frameworks capable of modeling high-dimensional interpersonal dynamics; and (4) clearer reporting standards to enable reproducibility and large-scale synthesis. Resources like our InterBrainDB can structure a community-driven progress toward ecologically grounded models of digitally mediated collaboration, a domain of increasing scientific and societal relevance","PeriodicalId":517413,"journal":{"name":"Frontiers in neuroergonomics","volume":"7 ","pages":"1756956"},"PeriodicalIF":3.1,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12929548/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147313886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}