Recurrent connectivity supports higher-level visual and semantic object representations in the brain.

Visual object recognition has been traditionally conceptualised as a predominantly feedforward process through the ventral visual pathway. While feedforward artificial neural networks (ANNs) can achieve human-level classification on some image-labelling tasks, it's unclear whether computational models of vision alone can accurately capture the evolving spatiotemporal neural dynamics. Here, we probe these dynamics using a combination of representational similarity and connectivity analyses of fMRI and MEG data recorded during the recognition of familiar, unambiguous objects. Modelling the visual and semantic properties of our stimuli using an artificial neural network as well as a semantic feature model, we find that unique aspects of the neural architecture and connectivity dynamics relate to visual and semantic object properties. Critically, we show that recurrent processing between the anterior and posterior ventral temporal cortex relates to higher-level visual properties prior to semantic object properties, in addition to semantic-related feedback from the frontal lobe to the ventral temporal lobe between 250 and 500 ms after stimulus onset. These results demonstrate the distinct contributions made by semantic object properties in explaining neural activity and connectivity, highlighting it as a core part of object recognition not fully accounted for by current biologically inspired neural networks.

Parameters of prediction: Multidimensional characterization of top-down influence in visual perception.

Despite the recent popularity of predictive processing models of brain function, the term prediction is often instantiated very differently across studies. These differences in definition can substantially change the type of cognitive or neural operation hypothesised and thus have critical implications for the corresponding behavioural and neural correlates during visual perception. Here, we propose a five-dimensional scheme to characterise different parameters of prediction. Namely, flow of information, mnemonic origin, specificity, complexity, and temporal precision. We describe these dimensions and provide examples of their application to previous work. Such a characterisation not only facilitates the integration of findings across studies, but also helps stimulate new research questions.

Goal-oriented representations in the human hippocampus during planning and navigation.

Recent work in cognitive and systems neuroscience has suggested that the hippocampus might support planning, imagination, and navigation by forming cognitive maps that capture the abstract structure of physical spaces, tasks, and situations. Navigation involves disambiguating similar contexts, and the planning and execution of a sequence of decisions to reach a goal. Here, we examine hippocampal activity patterns in humans during a goal-directed navigation task to investigate how contextual and goal information are incorporated in the construction and execution of navigational plans. During planning, hippocampal pattern similarity is enhanced across routes that share a context and a goal. During navigation, we observe prospective activation in the hippocampus that reflects the retrieval of pattern information related to a key-decision point. These results suggest that, rather than simply representing overlapping associations or state transitions, hippocampal activity patterns are shaped by context and goals.

Contextual Expectations Shape Cortical Reinstatement of Sensory Representations.

When making a turn at a familiar intersection, we know what items and landmarks will come into view. These perceptual expectations, or predictions, come from our knowledge of the context; however, it is unclear how memory and perceptual systems interact to support the prediction and reactivation of sensory details in cortex. To address this, human participants learned the spatial layout of animals positioned in a cross maze. During fMRI, participants of both sexes navigated between animals to reach a target, and in the process saw a predictable sequence of five animal images. Critically, to isolate activity patterns related to item predictions, rather than bottom-up inputs, one-fourth of trials ended early, with a blank screen presented instead. Using multivariate pattern similarity analysis, we reveal that activity patterns in early visual cortex, posterior medial regions, and the posterior hippocampus showed greater similarity when seeing the same item compared with different items. Further, item effects in posterior hippocampus were specific to the sequence context. Critically, activity patterns associated with seeing an item in visual cortex and posterior medial cortex, were also related to activity patterns when an item was expected, but omitted, suggesting sequence predictions were reinstated in these regions. Finally, multivariate connectivity showed that patterns in the posterior hippocampus at one position in the sequence were related to patterns in early visual cortex and posterior medial cortex at a later position. Together, our results support the idea that hippocampal representations facilitate sensory processing by modulating visual cortical activity in anticipation of expected items.SIGNIFICANCE STATEMENT Our visual world is a series of connected events, where we can predict what we might see next based on our recent past. Understanding the neural circuitry and mechanisms of the perceptual and memory systems that support these expectations is fundamental to revealing how we perceive and act in our world. Using brain imaging, we studied what happens when we expect to see specific visual items, and how such expectations relate to top-down memory signals. We find both visual and memory systems reflect item predictions, and moreover, we show that hippocampal activity supports predictions of future expected items. This demonstrates that the hippocampus acts to predict upcoming items, and reinstates such predictions in cortex.

Towards real-world neuroscience using mobile EEG and augmented reality.

Our visual environment impacts multiple aspects of cognition including perception, attention and memory, yet most studies traditionally remove or control the external environment. As a result, we have a limited understanding of neurocognitive processes beyond the controlled lab environment. Here, we aim to study neural processes in real-world environments, while also maintaining a degree of control over perception. To achieve this, we combined mobile EEG (mEEG) and augmented reality (AR), which allows us to place virtual objects into the real world. We validated this AR and mEEG approach using a well-characterised cognitive response-the face inversion effect. Participants viewed upright and inverted faces in three EEG tasks (1) a lab-based computer task, (2) walking through an indoor environment while seeing face photographs, and (3) walking through an indoor environment while seeing virtual faces. We find greater low frequency EEG activity for inverted compared to upright faces in all experimental tasks, demonstrating that cognitively relevant signals can be extracted from mEEG and AR paradigms. This was established in both an epoch-based analysis aligned to face events, and a GLM-based approach that incorporates continuous EEG signals and face perception states. Together, this research helps pave the way to exploring neurocognitive processes in real-world environments while maintaining experimental control using AR.

Context effects on object recognition in real-world environments: A study protocol.

Background: The environments that we live in impact on our ability to recognise objects, with recognition being facilitated when objects appear in expected locations (congruent) compared to unexpected locations (incongruent). However, these findings are based on experiments where the object is isolated from its environment. Moreover, it is not clear which components of the recognition process are impacted by the environment. In this experiment, we seek to examine the impact real world environments have on object recognition. Specifically, we will use mobile electroencephalography (mEEG) and augmented reality (AR) to investigate how the visual and semantic processing aspects of object recognition are changed by the environment. Methods: We will use AR to place congruent and incongruent virtual objects around indoor and outdoor environments. During the experiment a total of 34 participants will walk around the environments and find these objects while we record their eye movements and neural signals. We will perform two primary analyses. First, we will analyse the event-related potential (ERP) data using paired samples t-tests in the N300/400 time windows in an attempt to replicate congruency effects on the N300/400. Second, we will use representational similarity analysis (RSA) and computational models of vision and semantics to determine how visual and semantic processes are changed by congruency. Conclusions: Based on previous literature, we hypothesise that scene-object congruence would facilitate object recognition. For ERPs, we predict a congruency effect in the N300/N400, and for RSA we predict that higher level visual and semantic information will be represented earlier for congruent scenes than incongruent scenes. By collecting mEEG data while participants are exploring a real-world environment, we will be able to determine the impact of a natural context on object recognition, and the different processing stages of object recognition.

'They were aware of who I was as a person': Patients' and health professionals' experiences of using the PEGASUS intervention to facilitate decision-making around breast reconstruction.

OBJECTIVE: Many women choose to have breast reconstruction after mastectomy; however, decision-making can be difficult and expectations are often unmet. The PEGASUS intervention (Patient Expectations and Goals: Assisting Shared Understanding of Surgery) was developed to support shared decision-making by helping women and healthcare professionals to clarify and discuss their individual expectations around surgery. This study aimed to explore patients' and health professionals' experiences of using the intervention and its implementation. METHODS: Forty interviews were conducted with participants in a large scale, multi-site trial of the effectiveness of PEGASUS, from 'intervention' (n=16) and 'usual care' groups (n=11), and healthcare professionals (n=13). Data were analysed using thematic analysis. RESULTS: 'Usual care' participants described feeling overwhelmed in decision-making ('bombarded'), often using their own research to break down information ('process of elimination'). In contrast, intervention group participants described PEGASUS providing focus ('focus amongst the frenetic'), and increased connection with clinicians ('more than a number'). Healthcare professionals described increased focus on patient priorities ('shifting focus'), but stressed the need for whole team buy-in ('collective commitment'). CONCLUSIONS: The PEGASUS intervention offered a qualitatively different experience to individuals considering breast reconstruction, with potential to enhance patients' and healthcare professionals' feelings of shared decision-making and patient-centred care. TRIAL REGISTRATION: ISRCTN 18000391 (https://doi.org/10.1186/ISRCTN18000391) 27/01/2016.

Losartan Has No Effect on High Altitude Diuresis or Acute Mountain Sickness in Well-Acclimatizing Individuals.

Delamere, John P., Susie B. Bradwell, Christopher T. Lewis, Alex Clarke, and Arthur R. Bradwell. Losartan has no effect on high altitude diuresis or acute mountain sickness in well-acclimatizing individuals. High Alt Med Biol. 22:96-101, 2021. Introduction: The diuretic response that occurs on ascent to altitude is associated with suppression of aldosterone. We speculated that losartan, an angiotensin II receptor blocker, might further reduce aldosterone activity thereby enhancing the diuresis. Materials and Methods: Twenty subjects (paired for angiotensin converting enzyme genotypes [II:ID:DD] gender and age) were randomized, on a double-blind basis, to either daily losartan, 100 mg, or placebo. During 7 days of motorized ascent from 2,850 to 5,035 m, collections of 24-hour urine output were measured daily with samples taken for sodium (Na+) and potassium (K+) concentrations. In addition, measurements were made of blood gases and aldosterone concentrations. Results: During the main ascent, there were similar progressive increases in 24-hour urine volumes in placebo and losartan groups with no change in Na+ or K+ excretion. There were negative correlations between mean 24-hour urine volumes and PaO2 (r = -0.97, p < 0.03), and the diuretic response and acute mountain sickness scores at 5,053 m (r = -0.51, p < 0.03). There were no significant changes in aldosterone concentrations measured at baseline and at our high point on day 6 within or between the losartan and placebo groups. Conclusion: The high altitude diuretic response was not increased by losartan indicating aldosterone activity was suppressed in individuals on placebo who were acclimatizing well to altitude.

The visual and semantic features that predict object memory: Concept property norms for 1,000 object images.

Humans have a remarkable fidelity for visual long-term memory, and yet the composition of these memories is a longstanding debate in cognitive psychology. While much of the work on long-term memory has focused on processes associated with successful encoding and retrieval, more recent work on visual object recognition has developed a focus on the memorability of specific visual stimuli. Such work is engendering a view of object representation as a hierarchical movement from low-level visual representations to higher level categorical organization of conceptual representations. However, studies on object recognition often fail to account for how these high- and low-level features interact to promote distinct forms of memory. Here, we use both visual and semantic factors to investigate their relative contributions to two different forms of memory of everyday objects. We first collected normative visual and semantic feature information on 1,000 object images. We then conducted a memory study where we presented these same images during encoding (picture target) on Day 1, and then either a Lexical (lexical cue) or Visual (picture cue) memory test on Day 2. Our findings indicate that: (1) higher level visual factors (via DNNs) and semantic factors (via feature-based statistics) make independent contributions to object memory, (2) semantic information contributes to both true and false memory performance, and (3) factors that predict object memory depend on the type of memory being tested. These findings help to provide a more complete picture of what factors influence object memorability. These data are available online upon publication as a public resource.

The Safety and Efficacy of Phage Therapy for Bone and Joint Infections: A Systematic Review.

Bacterial resistance to antibiotics has catalysed interest in alternative antimicrobial strategies. Bacteriophages (phages) are viruses of bacteria with a long history of successful therapeutic use. Phage therapy is a promising antibacterial strategy for infections with a biofilm component, including recalcitrant bone and joint infections, which have significant social, financial and human impacts. Here, we report a systematic review of the safety and efficacy of phage therapy for the treatment of bone and joint infections. Three electronic databases were systematically searched for articles that reported primary data about human phage therapy for bone and joint infections. Two authors independently assessed study eligibility and performed data extraction. Seventeen reports were eligible for inclusion in this review, representing the treatment of 277 patients. A cautionary, crude, efficacy estimate revealed that 93.1% (n = 258/277) achieved clinical resolution, 3.3% (n = 9/277) had improvement and 3.6% (n = 10/277) showed no improvement. Seven of the nine reports that directly commented on the safety of phage therapy did not express safety concerns. The adverse effects reported in the remaining two were not severe and were linked to the presence of contaminating endotoxins and pre-existing liver pathology in a patient treated with high-titre intravenous phage therapy. Three other reports, from 1940-1987, offered general comments on the safety of phage therapy and documented adverse effects consistent with endotoxin co-administration concomitant with the use of raw phage lysates. Together, the reports identified by this review suggest that appropriately purified phages represent a safe and highly efficacious treatment option for complex and intractable bone and joint infections.

On the Selection of Neural Network Architecture for Supervised Motor Unit Identification from High-Density Surface EMG.

In the last decade, accurate identification of motor unit (MU) firings received a lot of research interest. Different decomposition methods have been developed, each with its advantages and disadvantages. In this study, we evaluated the capability of three different types of neural networks (NNs), namely dense NN, long short-term memory (LSTM) NN and convolutional NN, to identify MU firings from high-density surface electromyograms (HDsEMG). Each type of NN was evaluated on simulated HDsEMG signals with a known MU firing pattern and high variety of MU characteristics. Compared to dense NN, LSTM and convolutional NN yielded significantly higher precision and significantly lower miss rate of MU identification. LSTM NN demonstrated higher sensitivity to noise than convolutional NN.Clinical Relevance-MU identification from HDsEMG signals offers valuable insight into neurophysiology of motor system but requires relatively high level of expert knowledge. This study assesses the capability of self-learning artificial neural networks to cope with this problem.

Hypoxia is not the primary mechanism contributing to exercise-induced proteinuria.

INTRODUCTION: Proteinuria increases at altitude and with exercise, potentially as a result of hypoxia. Using urinary alpha-1 acid glycoprotein (α1-AGP) levels as a sensitive marker of proteinuria, we examined the impact of relative hypoxia due to high altitude and blood pressure-lowering medication on post-exercise proteinuria. METHODS: Twenty individuals were pair-matched for sex, age and ACE genotype. They completed maximal exercise tests once at sea level and twice at altitude (5035 m). Losartan (100 mg/day; angiotensin-receptor blocker) and placebo were randomly assigned within each pair 21 days before ascent. The first altitude exercise test was completed within 24-48 hours of arrival (each pair within ~1 hour). Acetazolamide (125 mg two times per day) was administrated immediately after this test for 48 hours until the second altitude exercise test. RESULTS: With placebo, post-exercise α1-AGP levels were similar at sea level and altitude. Odds ratio (OR) for increased resting α1-AGP at altitude versus sea level was greater without losartan (2.16 times greater). At altitude, OR for reduced post-exercise α1-AGP (58% lower) was higher with losartan than placebo (2.25 times greater, p=0.059) despite similar pulse oximetry (SpO2) (p=0.95) between groups. Acetazolamide reduced post-exercise proteinuria by approximately threefold (9.3±9.7 vs 3.6±6.0 µg/min; p=0.025) although changes were not correlated (r=-0.10) with significant improvements in SpO2 (69.1%±4.5% vs 75.8%±3.8%; p=0.001). DISCUSSION: Profound systemic hypoxia imposed by altitude does not result in greater post-exercise proteinuria than sea level. Losartan and acetazolamide may attenuate post-exercise proteinuria, however further research is warranted.

Dynamic activity patterns in the anterior temporal lobe represents object semantics.

The anterior temporal lobe (ATL) is considered a crucial area for the representation of transmodal concepts. Recent evidence suggests that specific regions within the ATL support the representation of individual object concepts, as shown by studies combining multivariate analysis methods and explicit measures of semantic knowledge. This research looks to further our understanding by probing conceptual representations at a spatially and temporally resolved neural scale. Representational similarity analysis was applied to human intracranial recordings from anatomically defined lateral to medial ATL sub-regions. Neural similarity patterns were tested against semantic similarity measures, where semantic similarity was defined by a hybrid corpus-based and feature-based approach. Analyses show that the perirhinal cortex, in the medial ATL, significantly related to semantic effects around 200 to 400 ms, and were greater than more lateral ATL regions. Further, semantic effects were present in low frequency (theta and alpha) oscillatory phase signals. These results provide converging support that more medial regions of the ATL support the representation of basic-level visual object concepts within the first 400 ms, and provide a bridge between prior fMRI and MEG work by offering detailed evidence for the presence of conceptual representations within the ATL.

Determinants of hamstring fascicle length in professional rugby league athletes.

OBJECTIVES: Investigate the determinants of hamstring fascicle length in professional rugby league players. DESIGN: Retrospective cohort study METHODS: Thirty-three elite male athletes underwent testing in the pre-season and in-season periods. Fascicle length measurements of the biceps femoris long head, 3D kinematics and elapsed time-periods at thigh angular velocities between 20°/s to peak velocity during a single-leg Nordic hamstring strength test, GPS-derived running loads, age and previous injury history were all recorded. Fixed effect determinants for fascicle length were analyzed using multiple linear regression. RESULTS: Significant determinants of hamstring fascicle length were observed. Multivariate regression analysis showed modifiable factors including chronic (56 days) running volumes >80% of measured peak velocity and maximum velocity itself collectively explained 43% of the variability in the fascicle length data, whilst peak eccentric strength and elapsed time under load from 20°/s to peak thigh angular velocity collectively contributed an additional 44%. Chronic running volumes >90% of individually measured peak velocity and the 'break angle' during a Nordic eccentric contraction were not significant contributors to the final model. Non-modifiable risk factors (age and previous injury) contributed the remaining 13%. CONCLUSIONS: Managing high velocity running exposure as well as eccentric strength allows for ˜90% of the controllable determinants in fascicle length within elite athlete populations. An important contributor to the explained variability within fascicle length (superseded only by chronic velocity exposure and peak eccentric strength) was an athletes ability to achieve a prolonged contraction at long lengths during eccentric strength training rather than the angle of failure during the contraction in itself.

Looking to the future: Priorities for translating research to impact in the field of appearance and body image.

The field of body image and appearance research and practice is progressing; however, there is still work to be done to ensure broad societal impact. This article consolidates reflections from a range of established and early career experts in the field of appearance and body image, with a focus on stimulating and guiding future agenda setting and translation from research to impact. We conducted a thematic analysis of transcripts from nine recorded 5-minute presentations, delivered by researchers and clinicians as part of a special invited presentation session at a biennial international conference, 'Appearance Matters,' in the UK. Four themes were identified: Moving Beyond the Individual; Consolidation and Collaboration; Commitment to Implementation; and Positive and Protective Frameworks. These themes are discussed alongside recommendations for researchers and practitioners working in these fields to advance research, advocacy, and impact outside of academia.

The Crisis in Psychiatric Hospital Care: Changing the Model to Continuous, Integrative Behavioral Health Care.

Inpatient psychiatric hospital services, as they currently exist, have little to no evidence base. Deficits in the current system represent a critical missed opportunity to improve the trajectory of patients' lives and long-term outcomes. The authors posit that a fresh approach to hospitalization is needed, one that incorporates distinct, measurable goals tied to a comprehensive, individualized treatment plan tailored to address a patient's lifetime course of illness. A structured approach can ultimately improve care quality and continuity by allowing for rigorous testing of each aspect of the assessment and care provision process, improving patient outcomes and care engagement while shortening average lengths of hospital stays, and accelerating the movement of care to cost-effective, need-specific settings. In an effort to move the field toward establishing a systematic, evidence-based protocol for hospital-based psychiatric care, the authors describe a new model, called the S.E.T.U.P. approach.

Neural dynamics of semantic composition.

Human speech comprehension is remarkable for its immediacy and rapidity. The listener interprets an incrementally delivered auditory input, millisecond by millisecond as it is heard, in terms of complex multilevel representations of relevant linguistic and nonlinguistic knowledge. Central to this process are the neural computations involved in semantic combination, whereby the meanings of words are combined into more complex representations, as in the combination of a verb and its following direct object (DO) noun (e.g., "eat the apple"). These combinatorial processes form the backbone for incremental interpretation, enabling listeners to integrate the meaning of each word as it is heard into their dynamic interpretation of the current utterance. Focusing on the verb-DO noun relationship in simple spoken sentences, we applied multivariate pattern analysis and computational semantic modeling to source-localized electro/magnetoencephalographic data to map out the specific representational constraints that are constructed as each word is heard, and to determine how these constraints guide the interpretation of subsequent words in the utterance. Comparing context-independent semantic models of the DO noun with contextually constrained noun models reflecting the semantic properties of the preceding verb, we found that only the contextually constrained model showed a significant fit to the brain data. Pattern-based measures of directed connectivity across the left hemisphere language network revealed a continuous information flow among temporal, inferior frontal, and inferior parietal regions, underpinning the verb's modification of the DO noun's activated semantics. These results provide a plausible neural substrate for seamless real-time incremental interpretation on the observed millisecond time scales.

Perceptual and conceptual processing of visual objects across the adult lifespan.

Making sense of the external world is vital for multiple domains of cognition, and so it is crucial that object recognition is maintained across the lifespan. We investigated age differences in perceptual and conceptual processing of visual objects in a population-derived sample of 85 healthy adults (24-87 years old) by relating measures of object processing to cognition across the lifespan. Magnetoencephalography (MEG) was recorded during a picture naming task to provide a direct measure of neural activity, that is not confounded by age-related vascular changes. Multiple linear regression was used to estimate neural responsivity for each individual, namely the capacity to represent visual or semantic information relating to the pictures. We find that the capacity to represent semantic information is linked to higher naming accuracy, a measure of task-specific performance. In mature adults, the capacity to represent semantic information also correlated with higher levels of fluid intelligence, reflecting domain-general performance. In contrast, the latency of visual processing did not relate to measures of cognition. These results indicate that neural responsivity measures relate to naming accuracy and fluid intelligence. We propose that maintaining neural responsivity in older age confers benefits in task-related and domain-general cognitive processes, supporting the brain maintenance view of healthy cognitive ageing.