Face Pareidolia Research Articles

Rabbit in the moon, monkey in the flower

Rabbit in the moon, monkey in the flower

Event-Related Potentials Elicited by Face and Face Pareidolia in Parkinson's Disease.

Background Parkinson's disease is associated with impaired ability to recognize emotional facial expressions. In addition to a visual processing disorder, a visual recognition disorder may be involved in these patients. Pareidolia is a type of complex visual illusion that permits the interpretation of a vague stimulus as something known to the observer. Parkinson's patients experience pareidolic illusions. N170 and N250 waveforms are two event-related potentials (ERPs) involved in emotional facial expression recognition. Objective In this study, we investigated how Parkinson's patients process face and face-pareidolia stimuli at the neural level using N170, vertex positive potential (VPP), and N250 components of event-related potentials. Methods To examine the response of face and face-pareidolia processing in Parkinson's patients, we measured the N170, VPP, and N250 components of the event-related brain potentials in a group of 21 participants with Parkinson's disease and 26 control participants. Results We found that the latencies of N170 and VPP responses to both face and face-pareidolia stimuli were increased along with their amplitudes, and the amplitude of N250 responses decreased in Parkinson's patients compared to the control group. In both control and Parkinson's patients, face stimuli generated greater ERP amplitude and shorter latency in responses than did face-pareidolia stimuli. Conclusion The results of our study showed that ERPs associated with face and also face-pareidolia stimuli processing are changed in early-stage neurophysiological activity in the temporoparietal cortex of Parkinson's patients.

Face pareidolia in schizophrenia

BackgroundFaces convey valuable daily life social signals. As in most psychiatric conditions, non-verbal social cognition or its components including face processing may be aberrant in schizophrenia (SZ). Social participation of individuals with SZ is vital for their quality of life, and remediation of social abilities in this population is of high relevance both for society and clinical care. MethodTuning to faces in non-face images such as shadows, grilled toasts, or ink blots is called face pareidolia. Humans possess high sensitivity to facial signals: even fetuses and infants are well tuned to coarse face cues. Here we assessed face tuning in individuals with SZ and person-by-person matched controls by using a new experimental tool, a set of food-plate images bordering on the Giuseppe Arcimboldo style. The key benefit of these images is that single components do not trigger face processing. Results and conclusionsThe outcome indicates that individuals with SZ exhibit aberrant face tuning in face-like non-face images (χ2(1) = 17.44, p = 0.0001) that can hamper adaptive interaction with peers and social participation hindering, in turn, clinical remediation. Face response rate in SZ patients was related to the scores on the event arrangement task tapping social cognition (Pearson product-moment correlation, r = 0.602, p = 0.01) and on picture completion task assessing visual perceptual organization (Spearman's rho = 0.614, p = 0.009). Therefore, poor performance on the face tuning task is unlikely to be accounted for by deviant general cognitive abilities, but rather by impairments in perceptual integration and social cognition. Comparison of these findings with data in autism and other neuropsychiatric conditions provides novel insights on the origins of face tuning in SZ and triggers brain imaging research.

Brain activity underlying face and face pareidolia processing: an ERP study.

Face pareidolia is described as an interpretation of any unrelated object seen for the first time as a face. It is still unclear how to face pareidolia is processed. In this study, the neural basis of face and face pareidolia processing was investigated through recording event-related potentials (ERPs). The ERPs were recorded from 35 right-handed and healthy participants in response to faces and face pareidolia. Amplitudes and latencies of N170, vertex-positive potential (VPP), and N250 components were analyzed, and current source density (CSD) maps relevant to these components were obtained. N170 response was earlier and larger in response to faces compared to face pareidolias. VPP is also evoked earlier in response to faces as in the case of N170; however, the VPP amplitude was larger for face pareidolias than for faces. Statistical analyses did not reveal any differences between faces and face pareidolias in terms of N250 component. The results indicated that faces and face pareidolias are processed in the early stages of visual perception. In addition, the N250 component does not reflect the neural processing of faces and face pareidolias.

Changes in face and face pareidolia processing in patients with migraine: an ERP study.

Migraine is a multifactorial brain disorder characterized by recurrent disabling headache attacks. One of the possible mechanisms in the pathogenesis of migraine may be a decrease in inhibitory cortical stimuli in the primary visual cortex attributable to cortical hyperexcitability. The aim of this study was to investigate the neural correlates underlying face and face pareidolia processing in terms of the event-related potential (ERP) components, N170, vertex positive potential (VPP), and N250, in patients with migraine. In total, 40 patients with migraine without aura, 23 patients with migraine and aura, and 30 healthy controls were enrolled. We recorded ERPs during the presentation of face and face pareidolia images. N170, VPP, and N250 mean amplitudes and latencies were examined. N170 was significantly greater in patients with migraine with aura than in healthy controls. VPP amplitude was significantly greater in patients with migraine without aura than in healthy controls. The face stimuli evoked significantly earlier VPP responses to faces (168.7 ms, SE = 1.46) than pareidolias (173.4 ms, SE = 1.41) in patients with migraine with aura. We did not find a significant difference between N250 amplitude for face and face pareidolia processing. A significant difference was observed between the groups for pareidolia in terms of N170 [F(2,86) = 14,75, P < 0.001] and VPP [F(2,86) = 16.43, P < 0.001] amplitudes. Early ERPs are a valuable tool to study the neural processing of face processing in patients with migraine to demonstrate visual cortical hyperexcitability.NEW & NOTEWORTHY Event-related potentials (ERPs) are important for understanding face and face pareidolia processing in patients with migraine. N170, vertex positive potential (VPP), and N250 ERPs were investigated. N170 was revealed as a potential component of cortical excitability for face and face pareidolia processing in patients with migraine.

Do you see the “face”? Individual differences in face pareidolia

People tend to see faces from non-face objects or meaningless patterns. Such illusory face perception is called face pareidolia. Previous studies have revealed an interesting fact that there are huge individual differences in face pareidolia experience among the population. Here, we review previous findings on individual differences in face pareidolia experience from four categories: sex differences, developmental factors, personality traits and neurodevelopmental factors. We further discuss underlying cognitive or neural mechanisms to explain why some perceive the objects as faces while others do not. The individual differences in face pareidolia could not only offer scientific insights on how the brain works to process face information, but also suggest potential clinical applications.

Pareidolia-proneness, reality discrimination errors, and visual hallucination-like experiences in a non-clinical sample

ABSTRACTIntroduction: It has been proposed that hallucinations occur because of problems with reality discrimination (when internal, self-generated cognitions are misattributed to an external, non-self source) and because of elevated levels of top-down processing. In this study, we examined whether visual reality discrimination abilities and elevated top-down processing (assessed via face pareidolia-proneness) were associated with how often non-clinical participants report visual hallucination-like experiences.Methods: Participants (N = 82, mean age = 23.12 years) completed a visual reality discrimination task and a face pareidolia task, as well as self-report measures of schizotypy and of the frequency of visual hallucination-like experiences.Results: Regression analysis demonstrated that the number of false alarms made on the visual reality discrimination task and the number of hits made on the face pareidolia task were independent predictors of the frequency of visual hallucination-like experiences. Correlations between performance on the tasks and levels of schizotypy were not statistically significant.Conclusions: These findings suggest that weaker visual reality discrimination abilities and elevated levels of top-down processing are associated with visual hallucination-proneness and are discussed in terms of the idea that clinical visual hallucinations and non-clinical visual hallucination-like experiences share similar cognitive mechanisms.

How does the macaque brain characterize face pareidolia?

How does the macaque brain characterize face pareidolia?

A machine learning approach to predict perceptual decisions: an insight into face pareidolia

The perception of an external stimulus not only depends upon the characteristics of the stimulus but is also influenced by the ongoing brain activity prior to its presentation. In this work, we directly tested whether spontaneous electrical brain activities in prestimulus period could predict perceptual outcome in face pareidolia (visualizing face in noise images) on a trial-by-trial basis. Participants were presented with only noise images but with the prior information that some faces would be hidden in these images, while their electrical brain activities were recorded; participants reported their perceptual decision, face or no-face, on each trial. Using differential hemispheric asymmetry features based on large-scale neural oscillations in a machine learning classifier, we demonstrated that prestimulus brain activities could achieve a classification accuracy, discriminating face from no-face perception, of 75% across trials. The time–frequency features representing hemispheric asymmetry yielded the best classification performance, and prestimulus alpha oscillations were found to be mostly involved in predicting perceptual decision. These findings suggest a mechanism of how prior expectations in the prestimulus period may affect post-stimulus decision making.

面孔空想性错视及其神经机制

面孔空想性错视及其神经机制

Effects of Face Images and Face Pareidolia on Consumers' Responses to Print Advertising

ABSTRACT This research investigates whether print advertisements featuring faces (i.e., face advertisements) or facelike images (i.e., pareidolian advertisements) better capture consumer attention than advertisements that do not include such elements. In two studies, the researchers examined the effects of exposing consumers to print advertisements containing faces or pareidolian images for short time lapses—one-half, one, and three seconds. The results show that both advertisement types captured viewers9 attention and more frequently were recognized than advertisements that did not feature faces or facelike objects. Both face advertisements and pareidolian advertisements increased brand recognition and advertisement preference. Theoretical and operational implications are discussed.

Neural mechanisms underlying visual pareidolia processing: An fMRI study.

Objectives:Pareidolia is the interpretation of previously unseen and unrelated objects as familiar due to previous learning. The present study aimed to determine the specific brain areas that exhibited activation during real-face and face-pareidolia processing.Methods:Functional Magnetic Resonance Imaging (fMRI) scans were performed on 20 healthy subjects under real-face and face-pareidolia conditions in National Magnetic Resonance Research Center (UMRAM), Ankara, Turkey from April 2016 to January 2017. FSL software was used to conduct a FEAT higher level (group) analysis to identify the brain areas activated during real-face and face-pareidolia processing.Results:Under both the real-face and face-pareidolia conditions, activation was observed in the Prefrontal Cortex (PFCX), occipital cortex V1, occipital cortex V2, and inferior temporal regions. Also under both conditions, the same degree of activation was observed in the right Fusiform Face Area (FFA) and the right PFCX. On the other hand, PFCX activation was not evident under the real-face versus face scrambled or face-pareidolia versus pareidolia scrambled conditions.Conclusions:The present findings suggest that, as in real-face perception, face-pareidolia requires interaction between top-down and bottom-up brain regions including the FFA and frontal and occipitotemporal areas. Additionally, whole-brain analyses revealed that the right PFCX played an important role in processing real faces and in face pareidolia (illusory face perception), as did the FFA.

Decreased front-tmporal connection is associated with face pareidolia in Parkinsonʼs disease

Background: Face pareidolia is complex visual illusion in which one perceives ambiguous objects as faces. Although face pareidolia may occur in healthy subjects, previous studies reported Parkinsonʼs disease (PD) patients experience it much frequently. However, neural mechanism of pareidolia is unclear.

Evidence for face pareidolia in rhesus monkeys.

In everyday life we have a tendency to see faces in non-face objects; a famous example is the face of a nondescript man on the surface of mars. Although these misperceptions are often very compelling, it is not known whether "face pareidolia" is unique to humans or whether it is an experience shared with other animals. Like humans, rhesus monkeys have a functionally defined face-processing system, comprised of multiple interconnected areas distributed along the ventral visual pathway. In this study, we reasoned that the potential analogy between this system and our own made it likely that rhesus monkeys also experience face pareidolia. To test this hypothesis, we first collected 15 examples of face pareidolia from the public domain together with objects matched for object-content. An additional 15 photographs were taken of unfamiliar rhesus monkey faces. All possible pairs of these 45 images were shown to 5 male rhesus monkeys, one at a time for 4 seconds, in a visual paired comparison task. We collected two dependent variables (the total amount of time spent looking at each image; first fixation in each trial). In addition to replicating the common observation that rhesus monkeys look longer at face stimuli than other kinds of objects, we also found clear evidence that monkeys look for longer periods of time (and first) at examples of face pareidolia than at object-matched control images. We repeated this experiment with the images inverted and collected independent data from human participants (N = 10) who were asked to rate how face-like each image was on a 200-point scale. Overall, our results indicate that monkeys also see face configurations in non-face objects and, as such, provide the first compelling evidence of face pareidolia in any species other than our own. Meeting abstract presented at VSS 2017

Decoding face pareidolia in the human brain with fMRI

Decoding face pareidolia in the human brain with fMRI

Face Pareidolia in the Rhesus Monkey

Face perception in humans and nonhuman primates is rapid and accurate [1-4]. In the human brain, a network of visual-processing regions is specialized for faces [5-7]. Although face processing is a priority of the primate visual system, face detection is not infallible. Face pareidolia is the compelling illusion of perceiving facial features on inanimate objects, such as the illusory face on the surface of the moon. Although face pareidolia is commonly experienced by humans, its presence in other species is unknown. Here we provide evidence for face pareidolia in a species known to possess a complex face-processing system [8-10]: the rhesus monkey (Macaca mulatta). In a visual preference task [11,12], monkeys looked longer at photographs of objects that elicited face pareidolia in human observers than at photographs of similar objects that did not elicit illusory faces. Examination of eye movements revealed that monkeys fixated the illusory internal facial features in a pattern consistent with how they view photographs of faces [13]. Although the specialized response to faces observed in humans [1, 3, 5-7, 14] is often argued to be continuous across primates [4, 15], it was previously unclear whether face pareidolia arose from a uniquely human capacity. For example, pareidolia could be a product of the human aptitude for perceptual abstraction or result from frequent exposure to cartoons and illustrations that anthropomorphize inanimate objects. Instead, our results indicate that the perception of illusory facial features on inanimate objects is driven by a broadly tuned face-detection mechanism that we share with other species.

Seeing Objects as Faces Enhances Object Detection.

The face is a special visual stimulus. Both bottom-up processes for low-level facial features and top-down modulation by face expectations contribute to the advantages of face perception. However, it is hard to dissociate the top-down factors from the bottom-up processes, since facial stimuli mandatorily lead to face awareness. In the present study, using the face pareidolia phenomenon, we demonstrated that face awareness, namely seeing an object as a face, enhances object detection performance. In face pareidolia, some people see a visual stimulus, for example, three dots arranged in V shape, as a face, while others do not. This phenomenon allows us to investigate the effect of face awareness leaving the stimulus per se unchanged. Participants were asked to detect a face target or a triangle target. While target per se was identical between the two tasks, the detection sensitivity was higher when the participants recognized the target as a face. This was the case irrespective of the stimulus eccentricity or the vertical orientation of the stimulus. These results demonstrate that seeing an object as a face facilitates object detection via top-down modulation. The advantages of face perception are, therefore, at least partly, due to face awareness.

House pareidolia occurs more frequently than face pareidolia in peripheral vision

House pareidolia occurs more frequently than face pareidolia in peripheral vision

Seeing Jesus in toast: Neural and behavioral correlates of face pareidolia

Face pareidolia is the illusory perception of non-existent faces. The present study, for the first time, contrasted behavioral and neural responses of face pareidolia with those of letter pareidolia to explore face-specific behavioral and neural responses during illusory face processing. Participants were shown pure-noise images but were led to believe that 50% of them contained either faces or letters; they reported seeing faces or letters illusorily 34% and 38% of the time, respectively. The right fusiform face area (rFFA) showed a specific response when participants “saw” faces as opposed to letters in the pure-noise images. Behavioral responses during face pareidolia produced a classification image (CI) that resembled a face, whereas those during letter pareidolia produced a CI that was letter-like. Further, the extent to which such behavioral CIs resembled faces was directly related to the level of face-specific activations in the rFFA. This finding suggests that the rFFA plays a specific role not only in processing of real faces but also in illusory face perception, perhaps serving to facilitate the interaction between bottom-up information from the primary visual cortex and top-down signals from the prefrontal cortex (PFC). Whole brain analyses revealed a network specialized in face pareidolia, including both the frontal and occipitotemporal regions. Our findings suggest that human face processing has a strong top-down component whereby sensory input with even the slightest suggestion of a face can result in the interpretation of a face.