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The neurocognitive bases of human multimodal food perception: consciousness.

This review explores how we become aware of the (integrated) flavor of food. In recent years, progress has been made understanding the neural correlates of consciousness. Experimental and computational data have been largely based on the visual system. Contemporary neurobiological frameworks of consciousness are reviewed, concluding that neural reverberation among forward- and back-projecting neural ensembles across brain areas is a common theme. In an attempt to extrapolate these concepts to the oral-sensory and olfactory systems involved with multimodal flavor perception, the integration of the sensory information of which into a flavor gestalt has been reviewed elsewhere (Verhagen, J.V., Engelen, L., 2006. The neurocognitive bases of human multimodal food perception: Sensory integration. Neurosci. Biobehav. Rev. 30(5): 613_650), I reconceptualize the flavor-sensory system by integrating it into a larger neural system termed the Homeostatic Interoceptive System (HIS). This system consists of an oral (taste, oral touch, etc.) and non-oral part (non oral-thermosensation, pain, etc.) which are anatomically and functionally highly similar. Consistent with this new concept and with a large volume of experimental data, I propose that awareness of intraoral food is related to the concomitant reverberant self-sustained activation of a coalition of neuronal subsets in agranular insula and orbitofrontal cortex (affect, hedonics) and agranular insula and perirhinal cortex (food identity), as well as the amygdala (affect and identity) in humans. I further discuss the functional anatomy in relation essential nodes. These formulations are by necessity to some extent speculative.

Brain↗

HXMS: a standardized file format for HX-MS data.

MOTIVATION: Hydrogen/deuterium exchange-mass spectrometry (HX-MS) is a rapidly expanding technique used to investigate protein conformational ensembles. The growing popularity and utility of HX-MS has driven the development of diverse instrumentation and software, resulting in inconsistent, non-standardized data analysis and representation. Most HX-MS data formats also employ only mean deuteration representations of the data rather than full isotopic mass spectra, which reduces the information content of the data and limits downstream quantitative analysis. RESULTS: Inspired by reliable protein structure and genomics data formats, we present HXMS, a unified, lightweight, scalable, and human-readable file format for HX-MS data. The HXMS format preserves the isotopic mass envelopes for all peptides, captures the full experimental time-course including fully deuterated control samples, and contains all other key information. It supports multimodal distributions, post-translational modifications (PTMs), and experimental replicates. To promote compatibility with existing HX-MS workflows, we also developed PFLink, a Python package that converts exported data files from commonly used HX-MS software to the HXMS format. PFLink and the HXMS format will enable quantitative, higher-resolution data processing, improved data sharing and storage among HX-MS practitioners, future machine learning applications, and further developments in HX-MS analysis. AVAILABILITY AND IMPLEMENTATION: PFLink is publicly available to install locally on HuggingFace, alongside documentation, or use online at HuggingFace (https://huggingface.co/spaces/glasgow-lab/PFlink). The supplementary information includes sample input files, sample HXMS files, and a generic unfilled PFlink custom CSV file that users may populate with key experimental conditions and results, which can then be read and converted into the HXMS format.

Software↗

The multi-component model of working memory: explorations in experimental cognitive psychology.

There are a number of ways one can hope to describe and explain cognitive abilities, each of them contributing a unique and valuable perspective. Cognitive psychology tries to develop and test functional accounts of cognitive systems that explain the capacities and properties of cognitive abilities as revealed by empirical data gathered by a range of behavioral experimental paradigms. Much of the research in the cognitive psychology of working memory has been strongly influenced by the multi-component model of working memory [Baddeley AD, Hitch GJ (1974) Working memory. In: Recent advances in learning and motivation, Vol. 8 (Bower GA, ed), pp 47-90. New York: Academic Press; Baddeley AD (1986) Working memory. Oxford, UK: Clarendon Press; Baddeley A. Working memory: Thought and action. Oxford: Oxford University Press, in press]. By expanding the notion of a passive short-term memory to an active system that provides the basis for complex cognitive abilities, the model has opened up numerous questions and new lines of research. In this paper we present the current revision of the multi-component model that encompasses a central executive, two unimodal storage systems: a phonological loop and a visuospatial sketchpad, and a further component, a multimodal store capable of integrating information into unitary episodic representations, termed episodic buffer. We review recent empirical data within experimental cognitive psychology that has shaped the development of the multicomponent model and the understanding of the capacities and properties of working memory. Research based largely on dual-task experimental designs and on neuropsychological evidence has yielded valuable information about the fractionation of working memory into independent stores and processes, the nature of representations in individual stores, the mechanisms of their maintenance and manipulation, the way the components of working memory relate to each other, and the role they play in other cognitive abilities. With many questions still open and new issues emerging, we believe that the multicomponent model will continue to stimulate research while providing a comprehensive functional description of working memory.

Brain↗

Pre- and intra-irradiation multimodal image registration: principles and first experiments.

Accurately repositioning the patient with respect to CT or MR images is essential for high precision radiotherapy. We show that portal images may be automatically registered with 3D pre-session data (typically morphological images like CT or MR images), thus enabling an automatic adjustment of the planned strategy to the actual position of the patient. Based on computer vision techniques, the principles of this new method of multimodal image registration are presented, and the first experiments with a phantom are analysed.

Humans↗

Issues in the classification of multimodal communication signals.

Communication involves complex behavior in multiple sensory channels, or "modalities." We provide an overview of multimodal communication and its costs and benefits, place examples of signals and displays from an array of taxa, sensory systems, and functions into our signal classification system, and consider issues surrounding the categorization of multimodal signals. The broadest level of classification is between signals with redundant and nonredundant components, with finer distinctions in each category. We recommend that researchers gather information on responses to each component of a multimodal signal as well as the response to the signal as a whole. We discuss the choice of categories, whether to categorize signals on the basis of the signal or the response, and how to classify signals if data are missing. The choice of behavioral assay may influence the outcome, as may the context of the communicative event. We also consider similarities and differences between multimodal and unimodal composite signals and signals that are sequentially, rather than simultaneously, multimodal.

Animal Communication↗

Neural net identification of thumb movement using spectral characteristics of magnetic cortical rhythms.

Neural nets have shown great promise as tools for reducing and examining multi-dimensional data. When carefully tuned with selected data sets of individual subjects neural nets have indisputable potential in identifying distinct stages of voluntary finger movements. However, robust, automatized data description methods would be needed to eventually extend the use of neural networks into visualization of brain activity during more complex, multimodal tasks where the cortical processes are not equally well understood. We explored the suitability of a self-organizing map (SOM) in the widely studied case of voluntary finger movements (left and right thumb), using as input such spectral characteristics that showed systematic task-dependent changes when averaged over repeated movements. SOMs constructed without individual fine-tuning and with generally chosen training parameters from these spectral features identified correctly 85% of the ongoing movements but, somewhat surprisingly, not the side of thumb movement. Even for this inclusive choice of input, the neural nets were sensitive to transient signals, but focused fine tuning, based on a priori known subgroups in the data, is clearly required for more detailed classification. Thus, a neural net visualization is likely not the most attractive first approach for characterization of cortical processing during complex multimodal tasks.

Brain Mapping↗

Failure at the primary site following multimodality treatment in advanced head and neck cancer.

Recurrence at the primary site is an important cause of morbidity and mortality in head and neck cancer. In patients with stages III and IV disease treated surgically at Memorial Sloan-Kettering Cancer Center between 1960 and 1970, cancer recurred at the primary site in 39% even when the margins had been deemed satisfactory, and in 73% when the margins were unsatisfactory. Between 1975 and 1980, we treated 114 previously untreated patients with stages III and IV epidermoid carcinoma of the oral cavity, oropharynx, hypopharynx, or larynx with a combination of surgery and postoperative radiation therapy. Twenty-seven patients also received preoperative chemotherapy. One hundred seven patients were evaluable for disease control at the primary site by the combined treatment. Cancer recurred at the primary site in 6 patients, including 2% of 47 patients whose surgical margins had been satisfactory and 10.5% of 60 patients whose surgical margins had been unsatisfactory. Of the latter, recurrence was seen in 5% of the 25 patients whose margins were less than 5 mm but were microscopically uninvolved, and in 15% of the 35 patients whose margins were microscopically involved by cancer. Comparison of these data with our historical control group suggests a decrease in the failure rate at the primary site with multimodality treatment. However, it still appears important to secure microscopically negative margins for the best results.

Antineoplastic Agents↗

Behavioral correlates of developmental expressive language disorder.

The association of behavior problems with preschool language disorders has been documented extensively. However, researchers have typically failed to differentiate subgroups of language-impaired children, to use observational data in documenting the behavior disorders, or to study children at the youngest ages. Using a multimodal assessment, this study examined parent-child interaction and behavior problems in a clearly defined subgroup of language-impaired children, those with developmental expressive language disorder (ELD). These children exhibit a delay in expressive language compared with receptive language and nonverbal cognitive skills. Subjects were identified and studied at the youngest age at which the disorder can be assessed. A group of ELD children, averaging 27 months of age, was contrasted with a group of normally developing children, matched for age, sex, and receptive language ability. Groups were compared on observed parent-child interactions as well as maternal responses on the Parenting Stress Index, the Eyberg Child Behavior Inventory, and a behavior-related structured interview. ELD children, when compared with normally developing children, exhibited higher levels of negative behavior and were perceived as different by their parents.

Child Behavior Disorders↗

Decoding cancer with artificial intelligence: Transforming research, diagnosis, and therapy with future insights.

Cancer remains one of the leading global health burdens, with increasing complexity in genomic, imaging, and clinical datasets presenting significant challenges for effective management. Artificial intelligence (AI) has emerged as a powerful tool to address these challenges by enabling pattern recognition, knowledge integration, and data-driven decision-making. This review highlights recent advances in the application of AI across cancer research, diagnosis, and therapy. In research, AI accelerates drug discovery and repurposing, enhances genomic data interpretation, and facilitates biomarker identification through multi-omics integration. In diagnosis, AI has demonstrated high technical performance in radiology for lesion detection and image segmentation, in pathology for tumour grading and molecular prediction, and in liquid biopsy for non-invasive biomarker analysis. In therapy, AI supports precision medicine by predicting treatment responses, monitoring disease progression, and optimizing clinical trial design. Despite these advances, barriers such as data heterogeneity, algorithmic bias, interpretability, and regulatory challenges remain. Future directions, including explainable AI, federated learning, multimodal modelling, and digital twins, hold promise for translating AI-driven innovations into routine oncology practice. Significance Statement This review provides a timely synthesis of recent (2020-2025) advances in artificial intelligence across cancer research, diagnosis, and therapy, highlighting applications in drug discovery, genomics, multi-omics biomarker identification, and clinical decision-making. By integrating technological progress with translational and clinical relevance, this work serves as a valuable resource for bridging AI innovation with precision oncology practice. As a narrative review, the literature was identified through targeted PubMed, Scopus, and Google Scholar searches, combining terms for artificial intelligence, machine learning, and deep learning with cancer-related keywords, with priority given to peer-reviewed studies published between 2020 and 2025, seminal earlier works, and official regulatory or guideline documents. Within each domain, representative studies were selected to illustrate methodological diversity, clinical context, and current translational readiness rather than to provide exhaustive coverage of an extremely rapidly evolving field.

Artificial intelligence↗

Role of functional magnetic resonance imaging in the evaluation of patients with malformations caused by cortical development.

As functional MR imaging (fMRI) continues to offer unparalleled advantages in probing neural activity, diagnostic applications continue to flourish. The evaluation of malformations caused by abnormalities of cortical development is an area in which fMRI has an emerging role and potential to provide new insights into epileptogenesis through multimodal integration with electroencephalagraphy. The clinical impact, however, is just beginning to be felt as new data emerge.

Brain Mapping↗

Using immersive technology for postural research and rehabilitation.

Posture has traditionally been examined by isolating individual control pathways to determine their specific contributions. However, if these pathways are responsive to functional contexts, then their responses may differ when the system is receiving simultaneous inputs from multiple pathways. Thus, we may never fully understand how the central nervous system (CNS) organizes behaviors in the real world from studies conducted in the minimized environment of the laboratory. The consequence of this is that when findings from the laboratory are applied to therapeutic intervention, the intervention may not be appropriate for all circumstances and will not fully meet the needs of the patient. We have united an immersive dynamic virtual environment with motion of a posture platform to record the biomechanical and physiological responses to combined visual, vestibular, and proprioceptive inputs. The virtual environment possesses content, contrast, and texture so that we can examine postural responses as they might occur in a complex, real-world environment. In this paper we specifically describe the factors guiding our choices of virtual technology and present data from young adults, elderly adults, and an individual with bilateral labyrinthine loss to demonstrate how multimodal inputs influence their postural response organization. Significant implications for future experimental and rehabilitation protocols are also discussed.

Adult↗

Characterization of Staphylococcus aureus-platelet binding by quantitative flow cytometric analysis.

Quantitative analyses of Staphylococcus aureus binding to platelets were done using flow cytometry after bacterial exposure to the following treatments: proteases (trypsin, protease K), antibiotics (oxacillin, gentamicin), surface carbohydrate modifiers (sodium periodate, anticapsular antibody), or platelet microbicidal protein. In separate studies, platelets were exposed to a monoclonal antibody to their Fc receptor (Fc gamma RII) before binding was quantified. The percentage of bacteria bound to platelets varied significantly among strains (22.1% +/- 3.8% to 76.4 +/- 3.2%). For all isolates, binding to platelets was rapid, saturable, and reversible, suggesting a receptor-ligand interaction. The following modifiers significantly reduced binding: platelet microbicidal protein (by 32.1% +/- 5.2%; P less than .001), homologous (but not heterologous) anticapsular antibody (by 17.7% +/- 1.9%; P less than .05), sodium periodate (by 36.3% +/- 4.3%; P less than .005), and anti-platelet Fc monoclonal antibody (by 41.5% +/- 4.4%; P less than .002). Collectively, these data suggest that the mechanism(s) involved in S. aureus-platelet binding are complex and multimodal, involving carbohydrate-rich and platelet microbicidal protein-susceptible S. aureus surface ligands as well as the platelet Fc receptor.

Animals↗

Gastrin-releasing peptide is a growth factor for human neuroblastomas.

OBJECTIVE: To evaluate whether gastrin-releasing peptide (GRP) and GRP receptor (GRP-R) expression correlate with tumor behavior and to examine the mitogenic actions of GRP on neuroblastomas. SUMMARY BACKGROUND DATA: Neuroblastoma is the most common solid tumor of infants and children. Despite recent advances in multimodality treatment regimens, the survival for advanced-stage tumors remains dismal. Neuroblastomas are known to produce GRP; however, the proliferative effects of GRP on neuroblastomas have not been elucidated. METHODS: Sections of paraffin-embedded neuroblastomas from 33 patients were analyzed for GRP and GRP-R protein expression by immunohistochemistry. Functional binding of GRP-R to the Ca2+ signaling pathway was examined. In addition, the proliferative effect of GRP on neuroblastoma cells (SK-N-SH, IMR-32, SH-SY5Y, LAN-1) was determined. RESULTS: Immunohistochemical analysis showed GRP and GRP-R protein expression in neuroblastomas; an increased expression of GRP-R was noted in a higher percentage of undifferentiated tumors compared with tumors that were benign. GRP-R mRNA was confirmed in neuroblastoma cell lines. GRP treatment resulted in intracellular calcium [Ca2+]i mobilization in two cell lines (SK-N-SH, LAN-1). GRP treatment stimulated growth of all four neuroblastoma cell lines; this effect was inhibited in SK-N-SH cells by pretreatment with GRP antibody. CONCLUSIONS: These findings show increased GRP-R expression in the more aggressive and undifferentiated neuroblastomas. The synchronous expression of GRP and its receptor, GRP-R, suggests a role for these proteins in tumor growth. Moreover, these findings show enhanced proliferation of neuroblastoma cells in vitro after GRP treatment, suggesting that GRP may act as an autocrine and/or paracrine growth factor for neuroblastomas. Treatment with specific GRP-R antagonists may provide novel adjuvant therapy for neuroblastomas in children.

Calcium↗

Merkel cell carcinoma (primary cutaneous neuroendocrine carcinoma): an overview on management.

Merkel cell carcinoma is an uncommon but aggressive primary cutaneous neuroendocrine (small cell) carcinoma. There is ongoing debate regarding the optimal treatment of this disease. The early literature comprised small institutional studies with inherent weaknesses. Recent data have emerged from larger studies, including those from Australian institutions, that adds support to a multimodality approach as best practice. Despite this, the outcome for patients with unfavourable disease remains poor and in most series 25-30% of patients die as a direct result of Merkel cell carcinoma. The head and neck is the commonest site for presentation (50-60%) and wide excision (2-3 cm) of the primary lesion is usually recommended, although achieving this is often difficult within functional and cosmetic constraints. All clinically node-negative patients should be considered candidates for elective nodal treatment and those with clinical nodal disease should undergo nodal dissection and adjuvant radiotherapy. Recent evidence suggests that patients treated with surgery and adjuvant locoregional radiotherapy experience a better disease-free survival compared with those undergoing surgery alone. The role of platinum-based chemotherapy is evolving. The aim of this article is to discuss relevant issues in the management of a patient with Merkel cell carcinoma.

Antineoplastic Combined Chemotherapy Protocols↗

Implementation of antibiotic management teams in Belgian hospitals.

In 2002-03, the Belgian government subsidized in part the activities of local Antibiotic Managers (AMs) in 36 hospitals selected based on the presence of an operational multidisciplinary Antibiotic Management Team (AMT). AMs were trained as Internists (28), Microbiologists (13) and Hospital Pharmacists (13). The hospitals were representative of Belgian hospitals in affiliation, regional origin and size. The financing scheme allowed the implementation of 175 antibiotic management interventions, with a mean of 5 interventions/hospital. The activities reported in the first 9-month progress reports were analyzed according to national guidelines for AMTs. All hospitals irrespective of size or affiliation had undertaken a wide range of measures: review of formulary (29), implementation of new clinical guidelines (24), restricted access to selected antibiotics (25), improvement of antibiotic susceptibility testing methods (12), development of antibiotic consumption database (35) and analysis of antibacterial susceptibility data (31). Advertisement type categorization of communication methods showed that education of prescribers was based on multimodal communication. All hospitals used at least one passive method, 39% at least one active method and 55% at least one personalized method. The quality of communication was higher in hospitals with teaching affiliation. In conclusion, hospitals that received a financial incentive under theAMT pilot phase have developed multimodal antibiotic policy interventions independently of the hospital size and teaching status. Extension to all Belgian hospitals appears warranted. The impact of AMTs and AMs on the quality of use of antibiotics and trends of antibiotic resistance and cost will be monitored based on standardized indicators.

Anti-Bacterial Agents↗

A process for developing community consensus regarding the diagnosis and management of attention-deficit/hyperactivity disorder.

There remain large discrepancies between pediatricians' practice patterns and the American Academy of Pediatrics (AAP) guidelines for the assessment and treatment of children with attention-deficit/hyperactivity disorder (ADHD). Several studies raise additional concerns about access to ADHD treatment for girls, blacks, and poorer individuals. Barriers may occur at multiple levels, including identification and referral by school personnel, parents' help-seeking behavior, diagnosis by the medical provider, treatment decisions, and acceptance of treatment. Such findings confirm the importance of establishing appropriate mechanisms to ensure that children of both genders and all socioeconomic, racial, and ethnic groups receive appropriate assessment and treatment. Publication of the AAP ADHD toolkit provides resources to assist with implementing the ADHD guidelines in clinical practice. These resources address a number of the barriers to office implementation, including unfamiliarity with Diagnostic and Statistical Manual of Mental Disorders criteria, difficulty identifying comorbidities, and inadequate knowledge of effective coding practices. Also crucial to the success of improved processes within clinical practice is community collaboration in care, particularly collaboration with the educational system. Such collaboration addresses other barriers to good care, such as pressures from parents and schools to prescribe stimulants, cultural biases that may prevent schools from assessing children for ADHD or may prevent families from seeking health care, and inconsistencies in recognition and referral among schools in the same system. Collaboration may also create efficiencies in collection of data and school-physician communications, thereby decreasing physicians' non-face-to-face (and thus nonreimbursable) elements of care. This article describes a process used in Guilford County, North Carolina, to develop a consensus among health care providers, educators, and child advocates regarding the assessment and treatment of children with symptoms of ADHD. The outcome, ie, a community protocol followed by school personnel and community physicians for >10 years, ensures communication and collaboration between educators and physicians in the assessment and treatment of children with symptoms of ADHD. This protocol has the potential to increase practice efficiency, improve practice standards for children with ADHD, and enhance identification of children in schools. Perhaps most importantly, the community process through which the protocol was developed and implemented has an educational component that increases the knowledge of school personnel about ADHD and its treatment, increasing the likelihood that referrals will be appropriate and increasing the likelihood that children will benefit from coordination of interventions among school personnel, physicians, and parents. The protocol reflects a consensus of school personnel and community health care providers regarding the following: (1) ideal ADHD assessment and management principles; (2) a common entry point (a team) at schools for children needing assessment because of inattention and classroom behavior problems, whether the problems present first to a medical provider, the behavioral health system, or the school; (3) a protocol followed by the school system, recognizing the schools' resource limitations but meeting the needs of community health care providers for classroom observations, psychoeducational testing, parent and teacher behavior rating scales, and functional assessment; (4) a packet of information about each child who is determined to need medical assessment; (5) a contact person or team at each physician's office to receive the packet from the school and direct it to the appropriate clinician; (6) an assessment process that investigates comorbidities and applies appropriate diagnostic criteria; (7) evidence-based interventions; (8) processes for follow-up monitoring of children after establishment of a treatment plan; (9) roles for central participants (school personnel, physicians, school nurses, and mental health professionals) in assessment, management, and follow-up monitoring of children with attention problems; (10) forms for collecting and exchanging information at every step; (11) processes and key contacts for flow of communication at every step; and (12) a plan for educating school and health care professionals about the new processes. A replication of the community process, initiated in Forsyth County, North Carolina, in 2001, offers insights into the role of the AAP ADHD guidelines in facilitating development of a community consensus protocol. This replication also draws attention to identification and referral barriers at the school level. The following recommendations, drawn from the 2 community processes, describe a role for physicians in the collaborative community care of children with symptoms of ADHD. (1) Achieve consensus with the school system regarding the role of school personnel in collecting data for children with learning and behavior problems; components to consider include (a) vision and hearing screening, (b) school/academic histories, (c) classroom observation by a counselor, (d) parent and teacher behavior rating scales (eg, Vanderbilt, Conner, or Achenbach scales), (e) consideration of speech/language evaluation, (f) screening intelligence testing, (g) screening achievement testing, (h) full intelligence and achievement testing if discrepancies are apparent in abbreviated tests, and (i) trials of classroom interventions. (2) Use pediatric office visits to identify children with academic or behavior problems and symptoms of inattention (history or questionnaire). (3) Refer identified children to the contact person at each child's school, requesting information in accordance with community consensus. (4) Designate a contact person to receive school materials for the practice. (5) Review the packet from the school and incorporate school data into the clinical assessment. (6) Reinforce with the parents and the school the need for multimodal intervention, including academic and study strategies for the classroom and home, in-depth psychologic testing of children whose discrepancies between cognitive level and achievement suggest learning or language disabilities and the need for an individualized educational plan (special education), consideration of the "other health impaired" designation as an alternate route to an individualized educational plan or 504 plan (classroom accommodations), behavior-modification techniques for targeted behavior problems, and medication trials, as indicated. (7) Refer the patient to a mental health professional if the assessment suggests coexisting conditions. (8) Use communication forms to share diagnostic and medication information, recommended interventions, and follow-up plans with the school and the family. (9) Receive requested teacher and parent follow-up reports and make adjustments in therapy as indicated by the child's functioning in targeted areas. (10) Maintain communication with the school and the parents, especially at times of transition (eg, beginning and end of the school year, change of schools, times of family stress, times of change in management, adolescence, and entry into college or the workforce).

Adolescent↗

Some visual influences on human postural equilibrium: binocular versus monocular fixation.

The importance of vision for postural equilibrium has long been known; traditionally, this visual contribution to the control of posture has been analyzed primarily in terms of optical and retinal phenomena. Recently, however, there has been some suggestion that binocular and monocular fixation of identical stimuli have differential effects. Three experiments were conducted in order to measure self-generated movement (sway during quiet standing) of the body's center of gravity while field structure, ankle proprioception, and binocular/monocular fixation were varied. Field structure was varied from total darkness, to the presence of single and multiple LEDs in the dark, to full field structure (i.e., the richness of the feed back information was varied). Ankle proprioception was varied by changing foot position from side-by-side to heel-to-toe positions. Results indicate that (1) ankle-joint input is a significant factor in reducing sway, (2) binocular fixation attenuates sway relative to monocular fixation, under otherwise identical visual conditions, and (3) this difference persists in total darkness. Taken together, the data indicate that the visual influence on postural equilibrium results from a complex synergy that receives multimodal inputs. A simple optical/retinal explanation is not sufficient.

Adolescent↗