Top Research Papers on Neuroscience

Philosophers and neuroscientists address central issues in both fields, including morality, action, mental illness, consciousness, perception, and memory. Philosophers and neuroscientists grapple with the same profound questions involving consciousness, perception, behavior, and moral judgment, but only recently have the two disciplines begun to work together. This volume offers fourteen original chapters that address these issues, each written by a team that includes at least one philosopher and one neuroscientist, who integrate disciplinary perspectives and reflect the latest research in bot...

The sixth edition of the foundational reference on cognitive neuroscience, with entirely new material that covers the latest research, experimental approaches, and measurement methodologies. Each edition of this classic reference has proved to be a benchmark in the developing field of cognitive neuroscience. The sixth edition of The Cognitive Neurosciences continues to chart new directions in the study of the biological underpinnings of complex cognition—the relationship between the structural and physiological mechanisms of the nervous system and the psychological reality of the mind. It offe...

Elucidating the neuroscience of cancer, which calls for interdisciplinary collaboration among the fields of neuroscience, developmental biology, immunology and cancer biology, may advance effective therapies for many of the most difficult to treat malignancies.

Major contemporary lines of inquiry are reviewed, including current accounts of group-based categorization; formation and updating of prejudice and stereotypes; effects of prejudice on perception, emotion, and decision making; and the self-regulation of prejudice.

This work focuses on the development of Temperament and Attention through Evolutionary and Epidemiological Genetics: Attention-Deficit/Hyperactivity Disorder as an Extreme Phenotypic Variant.

Recombinant viruses are the workhorse of modern neuroscience. Whether one would like to understand a neuron's morphology, natural activity patterns, molecular composition, connectivity or behavioural and physiologic function, most studies begin with the injection of an engineered virus, often an adeno-associated virus or herpes simplex virus, among many other types. Recombinant viruses currently enable some combination of cell type-specific, circuit-selective, activity-dependent and spatiotemporally resolved transgene expression. Viruses are now used routinely to study the molecular and cellul...

The logic, implementation and interpretation of null models of connectomes are described, randomization and generative approaches to constructing null networks are introduced, and a taxonomy of network methods for statistical inference is outlined.

Contextualizing sleep health with respect to its determinants would enable neuroscientists to more effectively translate sleep health into clinical practice, and help transcend disciplinary boundaries such that social-environmental considerations related to sleep would become an ever-greater presence in the clinic.

Current GNN-based methods are reviewed, highlighting the ways that they have been used in several applications related to brain graphs such as missing brain graph synthesis and disease classification, and charting a path toward a better application of GNN models in network neuroscience field for neurological disorder diagnosis and population graph integration.

OpenNeuro is described, a BRAIN Initiative data archive that provides the ability to openly share data from a broad range of brain imaging data types following the FAIR principles for data sharing, highlighting the importance of the Brain Imaging Data Structure standard for enabling effective curation, sharing, and reuse of data.

How tissue-clearing methods could provide an unbiased, system-level view of mammalian bodies and human specimens is discussed and future opportunities for the use of these methods in human neuroscience are discussed.

The aim of this review is to thoroughly discuss the current state of human and animal tinnitus research, outline current challenges, and highlight new and exciting research opportunities.

Empathy reflects the ability to perceive and be sensitive to the emotional states of others, often eliciting a motivation to care for their well-being. It plays a central role in prosocial behavior and inhibition of aggression. While the development of empathy has traditionally been examined with behavioral and observational methods, a growing body of work in neuroscience using eye-tracking, functional MRI, electroencephalography, electromyography and near-infrared spectroscopy, casts new light on the neurobiological mechanisms involved in the capacity to connect with one another and share the...

Findings from three high‐risk cohorts, each tapping a distinct disruption to maternal‐infant bonding (prematurity, maternal depression, and early life stress/trauma), and followed from birth to adolescence/young adulthood, demonstrate how components of the neurobiology of affiliation confer resilience and uniquely shape the social brain.

This Commentary seeks to describe the burgeoning field of "cancer neuroscience" and encourage multidisciplinary collaboration for the study of cancer-nervous system interactions.

Animals evolved in complex environments, producing a wide range of behaviors, including navigation, foraging, prey capture, and conspecific interactions, which vary over timescales ranging from milliseconds to days. Historically, these behaviors have been the focus of study for ecology and ethology, while systems neuroscience has largely focused on short timescale behaviors that can be repeated thousands of times and occur in highly artificial environments. Thanks to recent advances in machine learning, miniaturization, and computation, it is newly possible to study freely moving animals in mo...

This work defines aesthetics as the study of how and why sensory stimuli acquire hedonic value and proposes that this definition leads to concrete empirical questions, such as how perceptual information comes to engage value signals in the reward circuit or why different psychological and neurobiological factors elicit different appreciation events for identical sensory objects.

Although Fos has been used as a marker of cellular activity since the 1990s, which molecular mechanism participates in the regulation of the expression of this protein is still unknown because the gene and the protein are not specific to neurons or glial cells.

ABSTRACT Humans are inherently emotional creatures due to our social nature, and emotions are able to influence how well we learn and even affect academic outcomes. Emotions are rarely a chief concern in educational settings, and we will discuss the mechanisms underlying how emotions are processed in the brain and how they influence the key aspects of learning—attention, memory, and motivation. The brain mechanisms of emotional and cognitive relationships are then detailed in order to provide some context within the modern developments of neuroscience. This will help to clarify the relationshi...

The parsimony, the diversity of the phenomena that the model has explained, and its illuminating brain function at all three of Marr's levels of analysis make Bayesian causal inference a strong neuroscience theory.

Nervous system-cancer interactions can regulate oncogenesis, growth, invasion and metastatic spread, treatment resistance, stimulation of tumor-promoting inflammation, and impairment of anti-cancer immunity.

It is suggested that the field may be moving toward a theoretical consensus, in which different models relating to basic emotion theory and psychological constructionism may be considered as complementary, working at different levels of the phylogenetic hierarchy.

The history of Spatiotemporal Neuroscience is discussed and more philosophical issues like the need to dissolve the mind-body problem and replace it by the world-brain relation and the question for different levels of time including their nestedness are discussed.

This perspective discusses the link between the nervous system and the induction of hallmark capabilities, revealing neurons and neuronal projections (axons) as hallmark-inducing constituents of the TME.

A historical introduction, an overview on the chemistry, pharmacological profiles, adverse effects, addiction liability, regulatory status, and the impact on chemical neuroscience of the 2-benzylbenzimidazoles are provided.

It is found that women-led work tends to be undercited relative to expectations and this imbalance is driven largely by the citation practices of men and is increasing over time as the field diversifies.

The latest advances in creating sophisticated whole-brain computational models with interacting neuronal and neurotransmitter systems that can be studied fully in silico to predict and design novel pharmacological and electromagnetic interventions to rebalance them in disease are described.

Applications of GQDs in bioimaging, photophysical therapies and drug delivery to the central nervous system will be considered, unraveling their potential in the neuroscientific field.

Like many scientific disciplines, neuroscience has increasingly attempted to confront pervasive gender imbalances within the field. While much of the conversation has centered around publishing and conference participation, recent research in other fields has called attention to the prevalence of gender bias in citation practices. Because of the downstream effects that citations can have on visibility and career advancement, understanding and eliminating gender bias in citation practices is vital for addressing inequity in a scientific community. In this study, we sought to determine whether t...

A comprehensive review of Canonical correlation analysis and its variant techniques and a general guideline in how to select the most appropriate CCA‐related technique based on the properties of available data sets and particularly targeted neuroscience questions is provided.

Existing neuroscience literature is reviewed to identify concepts, methods and challenges that might be addressed by social feelings research, and the influence and modulation of social feelings on interpersonal affiliation, parent-child attachments, moral sentiments, interpersonal stressors, and emotional communication are highlighted.

Human neuroscience methods are biased to exclude data from dark skin and coarse hair—traits common in Black people—and possibly people with racial trauma, and strategies to prevent a biased ‘unusable data crisis’ are outlined.

This review summarizes advances in electrical, optical and microfluidic neural interfaces with characteristics that suggest near-term potential for broad deployment to the neuroscience community.

First‐ and third‐person shooter games are no longer unique in the extent to which they load upon cognitive abilities, and a host of other game genres appear to place similar degrees of load upon these systems.

The results indicate that the underrepresentation of women-led publications in reference sections is also characteristic of papers published in JoCN over the past decade, and this pattern of citation imbalances is present for all gender classes of authors, implicating systemic factors.

The associations among neurotransmitters, hormones, brain networks, and cognitive functions in the context of positive emotions and affect are reviewed in order to advance a primary aim of the Human Affectome Project.

Findings from convergent neuroscience approaches that aim to understand how genes may contribute to ASD pathobiology are discussed and a systems-level understanding of ASD genetic risk holds promise for clarifying pathOBiology and advancing therapeutics are discussed.

The crucial issues in the current knowledge are identified and the results of several decades of research about the RN are summarized, ranging from animal models to human diseases, to draw a comprehensive overview on RN functional anatomy and bridge the gap between basic and translational research.

DeepInterpolation is a self-supervised deep learning-based denoising approach for calcium imaging, electrophysiology and fMRI data that increases the signal-to-noise ratio and allows extraction of more information from the processed data than from the raw data.

This work advocates for a complementary approach to model species development, that is, model clade development, as a way to integrate an evolutionary comparative approach with neurobiological and behavioral experiments.