scholarly journals Localized Task-Invariant Emotional Valence Encoding Revealed by Intracranial Recordings

2021 ◽  
Author(s):  
Daniel S Weisholtz ◽  
Gabriel Kreiman ◽  
David A Silbersweig ◽  
Emily Stern ◽  
Brannon Cha ◽  
...  
Keyword(s):  
Facial Expressions ◽  
Emotional Valence ◽  
The Other ◽  
Middle Temporal Gyrus ◽  
Neural Encoding ◽  
Middle Temporal ◽  
High Gamma ◽  
Intracranial Electroencephalography ◽  
Intracranial Recordings ◽  
Conceptual Meaning

Abstract The ability to distinguish between negative, positive and neutral valence is a key part of emotion perception. Emotional valence has conceptual meaning that supersedes any particular type of stimulus, although it is typically captured experimentally in association with particular tasks. We sought to identify neural encoding for task-invariant emotional valence. We evaluated whether high gamma responses (HGRs) to visually displayed words conveying emotions could be used to decode emotional valence from HGRs to facial expressions. Intracranial electroencephalography (iEEG) was recorded from fourteen individuals while they participated in two tasks, one involving reading words with positive, negative, and neutral valence, and the other involving viewing faces with positive, negative, and neutral facial expressions. Quadratic discriminant analysis was used to identify information in the HGR that differentiates the three emotion conditions. A classifier was trained on the emotional valence labels from one task and was cross-validated on data from the same task (within-task classifier) as well as the other task (between-task classifier). Emotional valence could be decoded in the left medial orbitofrontal cortex and middle temporal gyrus, both using within-task classifiers as well as between-task classifiers. These observations suggest the presence of task-independent emotional valence information in the signals from these regions.

scholarly journals Neural Encoding of Auditory Features during Music Perception and Imagery: Insight into the Brain of a Piano Player Auditory Features and Music Imagery

2017 ◽  
Author(s):  
Stephanie Martin ◽  
Christian Mikutta ◽  
Matthew K. Leonard ◽  
Dylan Hungate ◽  
Stefan Koelsch ◽  
...  
Keyword(s):  
Neural Activity ◽  
Music Perception ◽  
Inferior Frontal Gyrus ◽  
Superior Temporal Gyrus ◽  
Middle Temporal Gyrus ◽  
Neural Encoding ◽  
High Gamma ◽  
Central Gyrus ◽  
Spectrotemporal Receptive Field ◽  
Auditory Features

AbstractIt remains unclear how the human cortex represents spectrotemporal sound features during auditory imagery, and how this representation compares to auditory perception. To assess this, we recorded electrocorticographic signals from an epileptic patient with proficient music ability in two conditions. First, the participant played two piano pieces on an electronic piano with the sound volume of the digital keyboard on. Second, the participant replayed the same piano pieces, but without auditory feedback, and the participant was asked to imagine hearing the music in his mind. In both conditions, the sound output of the keyboard was recorded, thus allowing precise time-locking between the neural activity and the spectrotemporal content of the music imagery. For both conditions, we built encoding models to predict high gamma neural activity (70-150Hz) from the spectrogram representation of the recorded sound. We found robust similarities between perception and imagery – in frequency and temporal tuning properties in auditory areas.AbbreviationsECoGelectrocorticographyHGhigh gammaIFGinferior frontal gyrusMTGmiddle temporal gyrusPost-CGpost-central gyrusPre-CGpre-central gyrusSMGsupramarginal gyrusSTGsuperior temporal gyrusSTRFspectrotemporal receptive field

scholarly journals A Cognitive Linguistic Study of Silence/Pause-Based Incongruities in Selected Instances from Mind Your Language's Sitcom Series

2018 ◽  
Vol 1 (30) ◽  
pp. 795-829
Author(s):  
Rana H. Al-Bahrani
Keyword(s):  
Facial Expressions ◽  
The Other ◽  
Linguistic Study ◽  
Other Hand ◽  
Cognitive Linguistic ◽  
Facial Gestures

The present research aims at: First, to examine the reasons behind using silence/pause-based unintentional incongruities in selected instances from the British Sitcom Mind Your Language; second, to explore specifically the types of silence/pause-based unintentional incongruities and the different facial gestures that accompany each of these types. To meet these two objectives, the analysis will be theoretically and conceptually-based, respectively. Conclusions, as far as the first objective is concerned, have shown that silence can be used to reflect: the sense of being inattentive; lack of understanding; being unfamiliar with what one hears; the time needed for thinking and associating, and the act of hiding one's nervousness, etc. As for pause, it is used for reflecting the sense of being confused; indicating that there is an interrupting event; and giving time to oneself to comprehend, re-consider, and correct what one has said, etc. As for the second objective, it has been concluded that silence appears to have the four categories cited by Kostiuk (2012); these included the structural, reflexive, tactical, and ignorant types of silence. Pauses, on the other hand, have only three categories: tactical, structural, and reflexive. Speaking of the reactions and facial expressions that accompany silence when encountering unintentionally incongruous events, they include the following: closing one's eyes, and feeling amazed, proud, shocked, and speechless, etc. whereas those that accompany pause are: feeling confused, asking a question for clarification, and opening one's mouth, etc.  

scholarly journals Multiple overlapping dynamic patterns of the visual sensory network in schizophrenia

2020 ◽  
Author(s):  
Mohammad S.E Sendi ◽  
Godfrey D Pearlson ◽  
Daniel H Mathalon ◽  
Judith M Ford ◽  
Adrian Preda ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Visual Processing ◽  
Information Transfer ◽  
Pearson Correlation ◽  
Visual Learning ◽  
Network Connectivity ◽  
Resting State Fmri ◽  
Connectivity Pattern ◽  
Middle Temporal Gyrus ◽  
Middle Temporal

Although visual processing impairments have been explored in schizophrenia (SZ), their underlying neurobiology of the visual processing impairments has not been widely studied. Also, while some research has hinted at differences in information transfer and flow in SZ, there are few investigations of the dynamics of functional connectivity within visual networks. In this study, we analyzed resting-state fMRI data of the visual sensory network (VSN) in 160 healthy control (HC) subjects and 151 SZ subjects. We estimated 9 independent components within the VSN. Then, we calculated the dynamic functional network connectivity (dFNC) using the Pearson correlation. Next, using k-means clustering, we partitioned the dFNCs into five distinct states, and then we calculated the portion of time each subject spent in each state, that we termed the occupancy rate (OCR). Using OCR, we compared HC with SZ subjects and investigated the link between OCR and visual learning in SZ subjects. Besides, we compared the VSN functional connectivity of SZ and HC subjects in each state. We found that this network is indeed highly dynamic. Each state represents a unique connectivity pattern of fluctuations in VSN FNC, and all states showed significant disruption in SZ. Overall, HC showed stronger connectivity within the VSN in states. SZ subjects spent more time in a state in which the connectivity between the middle temporal gyrus and other regions of VNS is highly negative. Besides, OCR in a state with strong positive connectivity between middle temporal gyrus and other regions correlated significantly with visual learning scores in SZ.

scholarly journals IN VIVO ASSESSMENT OF AMYLOID AND GLUCOSE SIGNATURES IN SUBJECTIVE COGNITIVE DECLINE SUBJECTS

2021 ◽  
pp. 2140018
Author(s):  
XIAOFENG YU ◽  
ZHILONG ZHU ◽  
SHUZHAN ZHENG ◽  
JIAN JIANG ◽  
JUANJUAN JIANG ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Characteristic Curve ◽  
Standardized Uptake Value ◽  
Brain Regions ◽  
Middle Temporal Gyrus ◽  
Subjective Cognitive Decline ◽  
Middle Temporal ◽  
Main Effect ◽  
Heschl Gyrus

Subjective cognitive decline (SCD), characterized by self-perceived subtle cognitive impairment ahead of the appearance of explicit and measurable cognitive deficits, is regarded as the preclinical manifestation of the pathological change continuum of Alzheimer’s disease (AD). We were committed to exploring the amyloid and glucose metabolic signatures related to imminent brain metabolic changes in SCD subjects. This study included 39 subjects (mean age = 71.9 years; 14 males and 25 females) diagnosed with SCD disease and 39 gender-matched healthy controls (HCs) (mean age = 75.2; 16 males and 23 females) with brain [18F] fluorodeoxyglucose positron emission tomography (PET) images and [18F] florbetapir PET images. The standardized uptake value ratios (SUVRs) of PET images within the regions of interest (ROIs) were calculated. Inter-group SUVR differences were assessed by two-sample [Formula: see text]-testing and receiver operating characteristic curve (ROC) analyses. A generalized linear model (GLM) was employed to evaluate the correlations between amyloid and FDG uptake. Compared with HCs, SCD subjects showed significantly increased amyloid SUVR, as well as significantly increased glucose SUVR in the olfactory, amygdala, thalamus, heschl gyrus, superior and middle temporal gyrus and temporal pole (all [Formula: see text]). The amyloid SUVR of thalamus was found to have a better ROC result (area under the curve (AUC): 0.77, 95% confidence interval (CI): 0.66–0.86) in the HC group, as was the case with the glucose SUVR of the middle temporal gyrus (AUC: 0.83, 95% CI: 0.73–0.91). There were significant positive correlations between amyloid and glucose SUVRs ([Formula: see text]). The amyloid SUVR of the thalamus showed a significantly better main effect (odd ratio [Formula: see text] 2.91, 95% CI: 1.44–6.7, [Formula: see text]), and the glucose SUVR of the heschl gyrus indicated an enhanced main effect (odd ratio [Formula: see text] 5.08, 95% CI: 1.86–18.15, [Formula: see text]). SCD subjects demonstrated significant amyloid accumulation and glucose hypermetabolism in specific brain regions, and amyloid pathology overlapped with regions of glucose abnormality. These findings may advance the understanding of imminent pathological changes in the SCD stage and help to provide clinical guidelines for interventional management.

scholarly journals Separable convolutional neural networks for facial expressions recognition

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Andry Chowanda
Keyword(s):  
Neural Networks ◽  
Social Interactions ◽  
Facial Expressions ◽  
Convolutional Neural Networks ◽  
The Other ◽  
Computational Power ◽  
Facial Cues ◽  
Emotional Recognition ◽  
Testing Accuracy ◽  
Facial Expressions Recognition

AbstractSocial interactions are important for us, humans, as social creatures. Emotions play an important part in social interactions. They usually express meanings along with the spoken utterances to the interlocutors. Automatic facial expressions recognition is one technique to automatically capture, recognise, and understand emotions from the interlocutor. Many techniques proposed to increase the accuracy of emotions recognition from facial cues. Architecture such as convolutional neural networks demonstrates promising results for emotions recognition. However, most of the current models of convolutional neural networks require an enormous computational power to train and process emotional recognition. This research aims to build compact networks with depthwise separable layers while also maintaining performance. Three datasets and three other similar architectures were used to be compared with the proposed architecture. The results show that the proposed architecture performed the best among the other architectures. It achieved up to 13% better accuracy and 6–71% smaller and more compact than the other architectures. The best testing accuracy achieved by the architecture was 99.4%.

Unconditional and conditional as categories of the dialectic of law

2021 ◽  
pp. 58
Author(s):  
Grigory N. Utkin
Keyword(s):  
Theoretical Analysis ◽  
Social Life ◽  
The Other ◽  
Other Hand ◽  
Dialectical Relationship ◽  
Three Stages ◽  
The One ◽  
Dialectical Analysis ◽  
Conceptual Meaning

The article reveals the conceptual, meaning-forming role of the categories of the unconditional and conditional in law. At the same time, their dialectical relationship with each other and with other categories is put in the center of attention. The dialectic of the unconditional and conditional is revealed by achieving the unity of the three stages of theoretical analysis, which allows us to present the unconditional and conditional, on the one hand, as the content of all concepts, through which the idea of law is generally expressed in various aspects and elements; on the other hand, the entire set of categories subject to dialectical analysis appears as elements of the content of the unconditional and conditional as semantic units that Express the universal characteristics of law in its features, isolation from other forms of social life.

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