Occipital Cortex of Blind Individuals Is Functionally Coupled with Executive Control Areas of Frontal Cortex

In congenital blindness, the occipital cortex responds to a range of nonvisual inputs, including tactile, auditory, and linguistic stimuli. Are these changes in functional responses to stimuli accompanied by altered interactions with nonvisual functional networks? To answer this question, we introduce a data-driven method that searches across cortex for functional connectivity differences across groups. Replicating prior work, we find increased fronto-occipital functional connectivity in congenitally blind relative to blindfolded sighted participants. We demonstrate that this heightened connectivity extends over most of occipital cortex but is specific to a subset of regions in the inferior, dorsal, and medial frontal lobe. To assess the functional profile of these frontal areas, we used an n-back working memory task and a sentence comprehension task. We find that, among prefrontal areas with overconnectivity to occipital cortex, one left inferior frontal region responds to language over music. By contrast, the majority of these regions responded to working memory load but not language. These results suggest that in blindness occipital cortex interacts more with working memory systems and raise new questions about the function and mechanism of occipital plasticity.David & Lucile Packard FoundationNational Science Foundation (U.S.). Graduate Research Fellowship Progra

On The Specialization of Neural Modules

A number of machine learning models have been proposed with the goal of achieving systematic generalization: the ability to reason about new situations by combining aspects of previous experiences. These models leverage compositional architectures which aim to learn specialized modules dedicated to structures in a task that can be composed to solve novel problems with similar structures. While the compositionality of these architectures is guaranteed by design, the modules specializing is not. Here we theoretically study the ability of network modules to specialize to useful structures in a dataset and achieve systematic generalization. To this end we introduce a minimal space of datasets motivated by practical systematic generalization benchmarks. From this space of datasets we present a mathematical definition of systematicity and study the learning dynamics of linear neural modules when solving components of the task. Our results shed light on the difficulty of module specialization, what is required for modules to successfully specialize, and the necessity of modular architectures to achieve systematicity. Finally, we confirm that the theoretical results in our tractable setting generalize to more complex datasets and non-linear architectures

Thin-slice perception develops slowly

Body language and facial gesture provide sufficient visual information to support high-level social inferences from “thin slices” of behavior. Given short movies of nonverbal behavior, adults make reliable judgments in a large number of tasks. Here we find that the high precision of adults’ nonverbal social perception depends on the slow development, over childhood, of sensitivity to subtle visual cues. Children and adult participants watched short silent clips in which a target child played with Lego blocks either in the (off-screen) presence of an adult or alone. Participants judged whether the target was playing alone or not; that is, they detected the presence of a social interaction (from the behavior of one participant in that interaction). This task allowed us to compare performance across ages with the true answer. Children did not reach adult levels of performance on this task until 9 or 10 years of age, and we observed an interaction between age and video reversal. Adults and older children benefitted from the videos being played in temporal sequence, rather than reversed, suggesting that adults (but not young children) are sensitive to natural movement in social interactions.Ellison Medical FoundationNational Institutes of Health (U.S.). National Center for Research Resources (COBRE Grant P20 RR020151

Digitalization of Seaports - Visions of the Future

The book discusses the potential development of seaports in the context of Digitalization. Major challenges of and business opportunities for seaports arising from the megatrend Digitalization and prerequisites that need to be fulfilled to seize these opportunities are described. Major trends are technological innovations, globalization, demographic change, urbanization, and sustainability as well as port management trends. Digitizing processes in and between seaports leads to a network of seaports that transfers the smartPORT concept to the entire maritime logistics chain, meaning the collaboration and connection of individual Smart Ports. This enables a better handling of complexity. The network is supposed to interlink information and data between participating ports, creating a breeding ground to jointly develop future-oriented and innovative solutions and digital business models within a value creating network. Using scenarios for the future development of seaports the reader gets an impression on how digitized seaports could look like. These scenarios are (1) Maritime transport; (2) Transhipment and hinterland transport; (3) Infrastructure and energy; (4) New business models

Single-neuronal predictions of others’ beliefs in humans

© 2021, Springer Nature Limited part of Springer Nature. Human social behaviour crucially depends on our ability to reason about others. This capacity for theory of mind has a vital role in social cognition because it enables us not only to form a detailed understanding of the hidden thoughts and beliefs of other individuals but also to understand that they may differ from our own1–3. Although a number of areas in the human brain have been linked to social reasoning4,5 and its disruption across a variety of psychosocial disorders6–8, the basic cellular mechanisms that underlie human theory of mind remain undefined. Here, using recordings from single cells in the human dorsomedial prefrontal cortex, we identify neurons that reliably encode information about others’ beliefs across richly varying scenarios and that distinguish self- from other-belief-related representations. By further following their encoding dynamics, we show how these cells represent the contents of the others’ beliefs and accurately predict whether they are true or false. We also show how they track inferred beliefs from another’s specific perspective and how their activities relate to behavioural performance. Together, these findings reveal a detailed cellular process in the human dorsomedial prefrontal cortex for representing another’s beliefs and identify candidate neurons that could support theory of mind

Does Platelet Administration Affect Mortality in Elderly Head-Injured Patients Taking Antiplatelet Medications?

A significant portion of patients sustaining traumatic brain injury (TBI) take antiplatelet medications (aspirin or clopidogrel), which have been associated with increased morbidity and mortality. In an attempt to alleviate the risk of increased bleeding, platelet transfusion has become standard practice in some institutions. This study was designed to determine if platelet transfusion reduces mortality in patients with TBI on antiplatelet medications. Databases from two Level I trauma centers were reviewed. Patients with TBI 50 years of age or older with documented preinjury use of clopidogrel or aspirin were included in our cohort. Patients who received platelet transfusions were compared with those who did not to assess outcome differences between them. Demographics and other patient characteristics abstracted included Injury Severity Score, Glasgow Coma Scale, hospital length of stay, and warfarin use. Three hundred twenty-eight patients comprised the study group. Of these patients, 166 received platelet transfusion and 162 patients did not. Patients who received platelets had a mortality rate of 17.5 per cent (29 of 166), whereas those who did not receive platelets had a mortality rate of 16.7 per cent (27 of 162) (P = 0.85). Transfusion of platelets in patients with TBI using antiplatelet therapy did not reduce mortality

Does Platelet Administration Affect Mortality in Elderly Head-Injured Patients Taking Antiplatelet Medications?

A significant portion of patients sustaining traumatic brain injury (TBI) take antiplatelet medications (aspirin or clopidogrel), which have been associated with increased morbidity and mortality. In an attempt to alleviate the risk of increased bleeding, platelet transfusion has become standard practice in some institutions. This study was designed to determine if platelet transfusion reduces mortality in patients with TBI on antiplatelet medications. Databases from two Level I trauma centers were reviewed. Patients with TBI 50 years of age or older with documented preinjury use of clopidogrel or aspirin were included in our cohort. Patients who received platelet transfusions were compared with those who did not to assess outcome differences between them. Demographics and other patient characteristics abstracted included Injury Severity Score, Glasgow Coma Scale, hospital length of stay, and warfarin use. Three hundred twenty-eight patients comprised the study group. Of these patients, 166 received platelet transfusion and 162 patients did not. Patients who received platelets had a mortality rate of 17.5 per cent (29 of 166), whereas those who did not receive platelets had a mortality rate of 16.7 per cent (27 of 162) (P = 0.85). Transfusion of platelets in patients with TBI using antiplatelet therapy did not reduce mortality