scholarly journals fMRI activation during face processing: Differential effects of spatial frequency manipulation in healthy controls and people with schizophrenia

2010 ◽  
Vol 9 (8) ◽  
pp. 473-473 ◽  
Author(s):  
S. All ◽  
D. Little ◽  
T. Susmaras ◽  
S. Berten ◽  
B. Essex ◽  
...  
Keyword(s):  
Spatial Frequency ◽  
Face Processing ◽  
Healthy Controls ◽  
Differential Effects

scholarly journals 2288 Neural correlates of face processing in autism spectrum disorder: A quantitative meta-analysis of current literature and future directions

2018 ◽  
Vol 2 (S1) ◽  
pp. 21-22
Author(s):  
Carla J. Ammons ◽  
Mary-Elizabeth Winslett ◽  
Rajesh K. Kana
Keyword(s):  
Autism Spectrum Disorder ◽  
Face Processing ◽  
Repetitive Behavior ◽  
Autism Spectrum ◽  
Small Sample ◽  
Spectrum Disorder ◽  
Future Research ◽  
Healthy Controls ◽  
Specific Level

OBJECTIVES/SPECIFIC AIMS: Autism spectrum disorder (ASD) affects 1 in 68 people and includes restricted, repetitive behavior, and social communication deficits. Aspects of face processing (i.e., identity, emotion perception) are impaired in some with ASD. Neuroimaging studies have shown aberrant patterns of brain activation and connectivity of face processing regions. However, small sample sizes and inconsistent results have hindered clinical utility of these findings. The study aims to establish consistent patterns of brain responses to faces in ASD and provide directions for future research. METHODS/STUDY POPULATION: Neuroimaging studies were identified through a multi-database search according to PRISMA guidelines. In total, 23 studies were retained for a sample size of 383 healthy controls and 345 ASD. Peak coordinates were extracted for activation likelihood estimation (ALE) in GingerALE v2.3.6. Follow-up ALE analyses investigated directed Versus undirected gaze, static Versus dynamic, emotional Versus neutral, and familiar Versus unfamiliar faces. RESULTS/ANTICIPATED RESULTS: Faces produced bilateral activation of the fusiform gyrus (FG) in healthy controls (−42 −52 −20; 22 −74 −12, p<0.05, FDR) and left FG activation in ASD (−42 −54 −16, p<0.05, FDR). Activation in both groups was lateral to the mid-fusiform sulcus. Follow-up results pending. DISCUSSION/SIGNIFICANCE OF IMPACT: Reduced right FG activation to faces may inform biomarker or response to intervention studies. Mid-fusiform sulcus proved a reliable predictor of functional divides should be investigated on a subject-specific level.

Impaired Recognition of Negative Facial Emotions in Body Dysmorphic Disorder

2019 ◽  
Vol 25 (08) ◽  
pp. 884-889 ◽  
Author(s):  
Sally A. Grace ◽  
Wei Lin Toh ◽  
Ben Buchanan ◽  
David J. Castle ◽  
Susan L. Rossell
Keyword(s):  
Emotion Recognition ◽  
Face Processing ◽  
Body Dysmorphic Disorder ◽  
Recognition Task ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Emotional Expressions ◽  
Healthy Controls ◽  
Facial Emotions ◽  
Healthy Control

Abstract Objectives: Patients with body dysmorphic disorder (BDD) have difficulty in recognising facial emotions, and there is evidence to suggest that there is a specific deficit in identifying negative facial emotions, such as sadness and anger. Methods: This study investigated facial emotion recognition in 19 individuals with BDD compared with 21 healthy control participants who completed a facial emotion recognition task, in which they were asked to identify emotional expressions portrayed in neutral, happy, sad, fearful, or angry faces. Results: Compared to the healthy control participants, the BDD patients were generally less accurate in identifying all facial emotions but showed specific deficits for negative emotions. The BDD group made significantly more errors when identifying neutral, angry, and sad faces than healthy controls; and were significantly slower at identifying neutral, angry, and happy faces. Conclusions: These findings add to previous face-processing literature in BDD, suggesting deficits in identifying negative facial emotions. There are treatment implications as future interventions would do well to target such deficits.

Differential effects of bifrontal tDCS on arousal and sleep duration in insomnia patients and healthy controls

2019 ◽  
Vol 12 (3) ◽  
pp. 674-683 ◽  
Author(s):  
Lukas Frase ◽  
Peter Selhausen ◽  
Lukas Krone ◽  
Sulamith Tsodor ◽  
Friederike Jahn ◽  
...  
Keyword(s):  
Sleep Duration ◽  
Healthy Controls ◽  
Differential Effects

scholarly journals Red background facilitates low spatial frequency fearful face processing in groups with high autistic tendency

2019 ◽  
Vol 19 (10) ◽  
pp. 24d
Author(s):  
Eveline Mu ◽  
Laila Hugrass ◽  
David P Crewther
Keyword(s):  
Spatial Frequency ◽  
Face Processing ◽  
Fearful Face

Spatial Frequency Thresholds for Detecting Latent Facial Signals of Threat

Perception ◽  
2019 ◽  
Vol 48 (3) ◽  
pp. 214-227
Author(s):  
Nicholas Watier ◽  
Brock DeGagne
Keyword(s):  
Spatial Frequency ◽  
Face Processing ◽  
Visual Information ◽  
Forced Choice ◽  
Face Identification ◽  
Staircase Procedure ◽  
Spatial Frequencies

This study examined whether latent facial signals of threat can be detected at more extreme ranges of spatial frequencies (SFs), and thus with fewer frequencies from an optimal middle band for face identification, compared with latent nonthreatening facial signals. Using an adaptive staircase procedure and a two-interval forced-choice same-different task, SF thresholds from the lower and higher ends of the SF spectrum were obtained for nonexpressive threatening and nonthreatening faces. Threatening faces were discriminated from neutral faces more quickly and accurately, and engendered more extreme SF thresholds, compared with nonthreatening faces. The results indicate that the components of latent threatening facial signals can be detected under a greater degree of impoverished visual information for face processing compared with their nonthreatening counterparts.

scholarly journals Emotion Recognition in Low-Spatial Frequencies Is Partly Preserved following Traumatic Brain Injury

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Alessia Celeghin ◽  
Valentina Galetto ◽  
Marco Tamietto ◽  
Marina Zettin
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Spatial Frequency ◽  
Emotion Recognition ◽  
Diffuse Axonal Injury ◽  
Reaction Times ◽  
Emotion Perception ◽  
High Spatial Frequency ◽  
Healthy Controls ◽  
Spatial Frequencies

After a Traumatic Brain Injury (TBI), emotion recognition is typically impaired. This is commonly attributed to widespread multifocal damage in cortical areas involved in emotion processing as well as to Diffuse Axonal Injury (DAI). However, current models suggest that emotional recognition is subserved by a distributed network cantered on the amygdala, which involves both cortical and subcortical structures. While the cortical system is preferentially tuned to process high spatial frequencies, the subcortical networks are more sensitive to low-spatial frequencies. The aim of this study was to evaluate whether emotion perception from low-spatial frequencies underpinning the subcortical system is relatively preserved in TBI patients. We tested a group of 14 subjects with severe TBI and 20 matched healthy controls. Each participant was asked to recognize the emotion expressed by each stimulus that consisted of happy and fearful faces, filtered for their low and high spatial frequencies components. Results in TBI patients’ performances showed that low-spatial frequency expressions were recognized with higher accuracy and faster reaction times when compared to high spatial frequency stimuli. On the contrary, healthy controls did not show any effect in the two conditions, neither for response accuracy nor for reaction times. The outcomes of this study indicate that emotion perception from low-spatial frequencies is relatively preserved in TBI, thereby suggesting spare of functioning in the subcortical system in mediating emotion recognition.

Faster, stronger, lateralized: Low spatial frequency information supports face processing

2011 ◽  
Vol 49 (13) ◽  
pp. 3583-3590 ◽  
Author(s):  
Bhuvanesh Awasthi ◽  
Jason Friedman ◽  
Mark A. Williams
Keyword(s):  
Spatial Frequency ◽  
Face Processing ◽  
Frequency Information

scholarly journals Spatial Frequency and Face Processing in Children with Autism and Asperger Syndrome

2004 ◽  
Vol 34 (2) ◽  
pp. 199-210 ◽  
Author(s):  
Christine Deruelle ◽  
Cecilie Rondan ◽  
Bruno Gepner ◽  
Carole Tardif
Keyword(s):  
Spatial Frequency ◽  
Asperger Syndrome ◽  
Face Processing ◽  
Children With Autism
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