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Cognitive neuroscience

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https://www.readbyqxmd.com/read/28646400/a-brief-assessment-tool-for-investigating-facets-of-moral-judgment-from-realistic-vignettes
#1
Michael Kruepke, Erin K Molloy, Konrad Bresin, Aron K Barbey, Edelyn Verona
Humans make moral judgments every day, and research demonstrates that these evaluations are based on a host of related event features (e.g., harm, legality). In order to acquire systematic data on how moral judgments are made, our assessments need to be expanded to include real-life, ecologically valid stimuli that take into account the numerous event features that are known to influence moral judgment. To facilitate this, Knutson et al. (in Social Cognitive and Affective Neuroscience, 5(4), 378-384, 2010) developed vignettes based on real-life episodic memories rated concurrently on key moral features; however, the method is time intensive (~1...
June 23, 2017: Behavior Research Methods
https://www.readbyqxmd.com/read/28642938/correlation-weighted-sparse-group-representation-for-brain-network-construction-in-mci-classification
#2
Renping Yu, Han Zhang, Le An, Xiaobo Chen, Zhihui Wei, Dinggang Shen
Analysis of brain functional connectivity network (BFCN) has shown great potential in understanding brain functions and identifying biomarkers for neurological and psychiatric disorders, such as Alzheimer's disease and its early stage, mild cognitive impairment (MCI). In all these applications, the accurate construction of biologically meaningful brain network is critical. Due to the sparse nature of the brain network, sparse learning has been widely used for complex BFCN construction. However, the conventional l1-norm penalty in the sparse learning equally penalizes each edge (or link) of the brain network, which ignores the link strength and could remove strong links in the brain network...
October 2016: Medical Image Computing and Computer-assisted Intervention: MICCAI ..
https://www.readbyqxmd.com/read/28641239/automatic-recognition-of-fmri-derived-functional-networks-using-3d-convolutional-neural-networks
#3
Yu Zhao, Qinglin Dong, Shu Zhang, Wei Zhang, Hanbo Chen, Xi Jiang, Lei Guo, Xintao Hu, Junwei Han, Tianming Liu
Current fMRI data modeling techniques such as Independent Component Analysis (ICA) and Sparse Coding methods can effectively reconstruct dozens or hundreds of concurrent interacting functional brain networks simultaneously from the whole brain fMRI signals. However, such reconstructed networks have no correspondences across different subjects. Thus, automatic, effective and accurate classification and recognition of these large numbers of fMRI-derived functional brain networks are very important for subsequent steps of functional brain analysis in cognitive and clinical neuroscience applications...
June 15, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28634436/dual-coding-theory-explains-biphasic-collective-computation-in-neural-decision-making
#4
Bryan C Daniels, Jessica C Flack, David C Krakauer
A central question in cognitive neuroscience is how unitary, coherent decisions at the whole organism level can arise from the distributed behavior of a large population of neurons with only partially overlapping information. We address this issue by studying neural spiking behavior recorded from a multielectrode array with 169 channels during a visual motion direction discrimination task. It is well known that in this task there are two distinct phases in neural spiking behavior. Here we show Phase I is a distributed or incompressible phase in which uncertainty about the decision is substantially reduced by pooling information from many cells...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28634305/data-driven-extraction-of-a-nested-model-of-human-brain-function
#5
Taylor Bolt, Jason S Nomi, B T Thomas Yeo, Lucina Q Uddin
Decades of cognitive neuroscience research have revealed two basic facts regarding task-driven brain activation patterns. First, distinct patterns of activation occur in response to different task demands. Second, a superordinate, dichotomous pattern of activation/de-activation, is common across a variety of task demands. We explore the possibility that a hierarchical model incorporates these two observed brain activation phenomena into a unifying framework. We apply a latent variable approach, exploratory bi-factor analysis, to a large set of human (both sexes) brain activation maps (n = 108) encompassing cognition, perception, action and emotion behavioral domains, to determine the potential existence of a nested structure of factors that underlies a variety of commonly observed activation patterns...
June 20, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28632043/simultanagnosia-and-object-individuation
#6
Veronica Mazza
Simultanagnosic patients have difficulty in perceiving multiple objects when presented simultaneously. In this review article, I discuss how neuropsychological research on simultanagnosia has been inspirational for two interconnected lines of research related to the core mechanisms by which the visual system processes cluttered scenes. First, I review previous studies on enumeration tasks indicating that, despite their inability to identify multiple objects, simultanagnosic patients can enumerate up to 2-3 elements as efficiently as healthy individuals (the so-called "subitizing" phenomenon)...
June 6, 2017: Cognitive Neuropsychology
https://www.readbyqxmd.com/read/28630450/concurrent-talking-in-immersive-virtual-reality-on-the-dominance-of-visual-speech-cues
#7
Mar Gonzalez-Franco, Antonella Maselli, Dinei Florencio, Nikolai Smolyanskiy, Zhengyou Zhang
Humans are good at selectively listening to specific target conversations, even in the presence of multiple concurrent speakers. In our research, we study how auditory-visual cues modulate this selective listening. We do so by using immersive Virtual Reality technologies with spatialized audio. Exposing 32 participants to an Information Masking Task with concurrent speakers, we find significantly more errors in the decision-making processes triggered by asynchronous audiovisual speech cues. More precisely, the results show that lips on the Target speaker matched to a secondary (Mask) speaker's audio severely increase the participants' comprehension error rates...
June 19, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28628004/visual-field-map-clusters-in-human-frontoparietal-cortex
#8
Wayne E Mackey, Jonathan Winawer, Clayton E Curtis
The visual neurosciences have made enormous progress in recent decades, in part because of the ability to drive visual areas by their sensory inputs, allowing researchers to reliably define visual areas across individuals and across species. Similar strategies for parcellating higher-order cortex have proven elusive. Here, using a novel experimental task and nonlinear population receptive field modeling we map and characterize the topographic organization of several regions in human frontoparietal cortex. We discover representations of both polar angle and eccentricity that are organized into clusters, similar to visual cortex, where multiple gradients of polar angle of the contralateral visual field share a confluent fovea...
June 19, 2017: ELife
https://www.readbyqxmd.com/read/28626813/hallucinations-as-top-down-effects-on-perception
#9
Albert R Powers, Megan Kelley, Philip R Corlett
The problem of whether and how information is integrated across hierarchical brain networks embodies a fundamental tension in contemporary cognitive neuroscience, and by extension, cognitive neuropsychiatry. Indeed, the penetrability of perceptual processes in a 'top-down' manner by higher-level cognition-a natural extension of hierarchical models of perception-may contradict a strictly modular view of mental organization. Furthermore, some in the cognitive science community have challenged cognitive penetration as an unlikely, if not impossible, process...
September 2016: Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
https://www.readbyqxmd.com/read/28626392/sensing-the-worst-neurophenomenological-perspectives-on-neutral-stimuli-misperception-in-schizophrenia-spectrum
#10
Mariateresa Sestito, Josef Parnas, Carlo Maggini, Vittorio Gallese
While investigating social cognitive impairments in schizophrenia, prominent evidence has been found that patients with schizophrenia show a tendency to misclassify neutral stimuli as negatively valenced. Within this population, patients presenting delusions are more prone to this phenomenon. In a previous study, Schizophrenia spectrum (SzSp) patients rated positive, negative and neutral stimuli that were multimodally presented, while assessed with a checklist exploring anomalous subjective experiences and evaluated for positive and negative symptomatology...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28624265/the-neuroscience-of-understanding-the-emotions-of-others
#11
REVIEW
Robert P Spunt, Ralph Adolphs
We cannot help but impute emotions to the behaviors of others, and constantly infer not only what others are feeling, but also why they feel that way. The comprehension of other people's emotional states is computationally complex and difficult, requiring the flexible, context-sensitive deployment of cognitive operations that encompass rapid orienting to, and recognition of, emotionally salient cues; classification of emotions into culturally-learned categories; and using an abstract theory of mind to reason about what caused the emotion, what future actions the person might be planning, and what we should do next in response...
June 15, 2017: Neuroscience Letters
https://www.readbyqxmd.com/read/28620289/dazzled-by-the-mystery-of-mentalism-the-cognitive-neuroscience-of-mental-athletes
#12
Andres Rieznik, Mikhail Lebedev, Mariano Sigman
No abstract text is available yet for this article.
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28619656/the-large-scale-functional-connectivity-correlates-of-consciousness-and-arousal-during-the-healthy-and-pathological-human-sleep-cycle
#13
REVIEW
Enzo Tagliazucchi, Eus J W van Someren
Advances in neuroimaging have greatly improved our understanding of human sleep from a systems neuroscience perspective. However, cognition and awareness are reduced during sleep, hindering the applicability of standard task-based paradigms. Methods recently developed to study spontaneous brain activity fluctuations have proven useful to overcome this limitation. In this review, we focus on the concept of functional connectivity (FC, i.e. statistical covariance between brain activity signals) and its application to functional magnetic resonance imaging (fMRI) data acquired during sleep...
June 12, 2017: NeuroImage
https://www.readbyqxmd.com/read/28619529/on-the-partnership-between-neural-representations-of-object-categories-and-visual-features-in-the-ventral-visual-pathway
#14
Stefania Bracci, J Brendan Ritchie, Hans Op de Beeck
A dominant view in the cognitive neuroscience of object vision is that regions of the ventral visual pathway exhibit some degree of category selectivity. However, recent findings obtained with multivariate pattern analyses (MVPA) suggest that apparent category selectivity in these regions is dependent on more basic visual features of stimuli. In which case a rethinking of the function and organization of the ventral pathway may be in order. We suggest that addressing this issue of functional specificity requires clear coding hypotheses, about object category and visual features, which make contrasting predictions about neuroimaging results in ventral pathway regions...
June 12, 2017: Neuropsychologia
https://www.readbyqxmd.com/read/28616997/emotion-and-the-prefrontal-cortex-an-integrative-review
#15
Matthew L Dixon, Ravi Thiruchselvam, Rebecca Todd, Kalina Christoff
The prefrontal cortex (PFC) plays a critical role in the generation and regulation of emotion. However, we lack an integrative framework for understanding how different emotion-related functions are organized across the entire expanse of the PFC, as prior reviews have generally focused on specific emotional processes (e.g., decision making) or specific anatomical regions (e.g., orbitofrontal cortex). Additionally, psychological theories and neuroscientific investigations have proceeded largely independently because of the lack of a common framework...
June 15, 2017: Psychological Bulletin
https://www.readbyqxmd.com/read/28610948/adaptive-capacity-an-evolutionary-neuroscience-model-linking-exercise-cognition-and-brain-health
#16
REVIEW
David A Raichlen, Gene E Alexander
The field of cognitive neuroscience was transformed by the discovery that exercise induces neurogenesis in the adult brain, with the potential to improve brain health and stave off the effects of neurodegenerative disease. However, the basic mechanisms underlying exercise-brain connections are not well understood. We use an evolutionary neuroscience approach to develop the adaptive capacity model (ACM), detailing how and why physical activity improves brain function based on an energy-minimizing strategy. Building on studies showing a combined benefit of exercise and cognitive challenge to enhance neuroplasticity, our ACM addresses two fundamental questions: (i) what are the proximate and ultimate mechanisms underlying age-related brain atrophy, and (ii) how do lifestyle changes influence the trajectory of healthy and pathological aging?...
June 10, 2017: Trends in Neurosciences
https://www.readbyqxmd.com/read/28609153/the-wiley-handbook-on-the-cognitive-neuroscience-of-learning
#17
Geoffrey Hall
No abstract text is available yet for this article.
June 13, 2017: Quarterly Journal of Experimental Psychology: QJEP
https://www.readbyqxmd.com/read/28605207/kinesiophobia-and-maladaptive-coping-strategies-prevent-improvements-in-pain-catastrophizing-following-pain-neuroscience-education-in-fibromyalgia-chronic-fatigue-syndrome-an-explorative-study
#18
Anneleen Malfliet, Jessica Van Oosterwijck, Mira Meeus, Barbara Cagnie, Lieven Danneels, Mieke Dolphens, Ronald Buyl, Jo Nijs
Many patients with chronic fatigue syndrome(CFS) and/or fibromyalgia(FM) have little understanding of their condition, leading to maladaptive pain cognitions and coping strategies. These should be tackled during therapy, for instance by pain neurophysiology education (PNE). Although positive effects of PNE are well-established, it remains unclear why some patients benefit more than others. This paper aims at exploring characteristics of patients responding poor to PNE to further improve its effectiveness. Data from two RCT's were pooled to search for baseline predictors...
June 12, 2017: Physiotherapy Theory and Practice
https://www.readbyqxmd.com/read/28604790/sparse-eeg-meg-source-estimation-via-a-group-lasso
#19
Michael Lim, Justin M Ales, Benoit R Cottereau, Trevor Hastie, Anthony M Norcia
Non-invasive recordings of human brain activity through electroencephalography (EEG) or magnetoencelphalography (MEG) are of value for both basic science and clinical applications in sensory, cognitive, and affective neuroscience. Here we introduce a new approach to estimating the intra-cranial sources of EEG/MEG activity measured from extra-cranial sensors. The approach is based on the group lasso, a sparse-prior inverse that has been adapted to take advantage of functionally-defined regions of interest for the definition of physiologically meaningful groups within a functionally-based common space...
2017: PloS One
https://www.readbyqxmd.com/read/28602945/the-energy-landscape-underpinning-module-dynamics-in-the-human-brain-connectome
#20
Arian Ashourvan, Shi Gu, Marcelo G Mattar, Jean M Vettel, Danielle S Bassett
Human brain dynamics can be viewed through the lens of statistical mechanics, where neurophysiological activity evolves around and between local attractors representing mental states. Many physically-inspired models of these dynamics define brain states based on instantaneous measurements of regional activity. Yet, recent work in network neuroscience has provided evidence that the brain might also be well-characterized by time-varying states composed of locally coherent activity or functional modules. We study this network-based notion of brain state to understand how functional modules dynamically interact with one another to perform cognitive functions...
June 7, 2017: NeuroImage
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