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Ge Y, Yu Y, Huang S, Huang X, Wang L, Jiang Y. Life motion signals bias the perception of apparent motion direction. Br J Psychol 2024; 115:115-128. [PMID: 37623746 DOI: 10.1111/bjop.12680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Accepted: 07/17/2023] [Indexed: 08/26/2023]
Abstract
Walking direction conveyed by biological motion (BM) cues, which humans are highly sensitive to since birth, can elicit involuntary shifts of attention to enhance the detection of static targets. Here, we demonstrated that such intrinsic sensitivity to walking direction could also modulate the direction perception of simultaneously presented dynamic stimuli. We showed that the perceived direction of apparent motion was biased towards the walking direction even though observers had been informed in advance that the walking direction of BM did not predict the apparent motion direction. In particular, rightward BM cues had an advantage over leftward BM cues in altering the perception of motion direction. Intriguingly, this perceptual bias disappeared when BM cues were shown inverted, or when the critical biological characteristics were removed from the cues. Critically, both the perceptual direction bias and the rightward advantage persisted even when only local BM cues were presented without any global configuration. Furthermore, the rightward advantage was found to be specific to social cues (i.e., BM), as it vanished when non-social cues (i.e., arrows) were utilized. Taken together, these findings support the existence of a specific processing mechanism for life motion signals and shed new light on their influences in a dynamic environment.
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Affiliation(s)
- Yiping Ge
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
- Chinese Institute for Brain Research, Beijing, China
| | - Yiwen Yu
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
- Chinese Institute for Brain Research, Beijing, China
| | - Suqi Huang
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
- Chinese Institute for Brain Research, Beijing, China
| | - Xinyi Huang
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
- Chinese Institute for Brain Research, Beijing, China
| | - Li Wang
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
- Chinese Institute for Brain Research, Beijing, China
| | - Yi Jiang
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
- Chinese Institute for Brain Research, Beijing, China
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2
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Huang S, Ge Y, Wang L, Jiang Y. Life motion signals modulate visual working memory. Psychon Bull Rev 2024; 31:380-388. [PMID: 37620631 DOI: 10.3758/s13423-023-02362-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/07/2023] [Indexed: 08/26/2023]
Abstract
Previous research has demonstrated that biological motion (BM) cues can induce a reflexive attentional orienting effect, a phenomenon referred to as social attention. However, it remains undetermined whether BM cues can further affect higher-order cognitive processes, such as visual working memory (WM). By combining a modified central pre-cueing paradigm with a traditional WM change detection task, the current study investigated whether the walking direction of BM, as a non-predictive central cue, could modulate the encoding process of WM. Results revealed a significant improvement in WM performance for the items appearing at the location cued by the walking direction of BM. The observed effect disappeared when the BM cues were shown inverted, or when the critical biological characteristics of the cues were removed. Crucially, this effect could be extended to upright feet motion cues without global configuration, reflecting the key role of local BM signals in modulating WM. More importantly, such a BM-induced modulation effect was not observed with inanimate motion cues, although these cues can also elicit attentional effects. Our findings suggest that the attentional effect induced by life motion signals can penetrate to higher-order cognitive processes, and provide compelling evidence for the existence of "life motion detector" in the human brain from a high-level cognitive function perspective.
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Affiliation(s)
- Suqi Huang
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, 19A Yuquan Road, Beijing, 100049, China
- Chinese Institute for Brain Research, 26 Science Park Road, Beijing, 102206, China
| | - Yiping Ge
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, 19A Yuquan Road, Beijing, 100049, China
- Chinese Institute for Brain Research, 26 Science Park Road, Beijing, 102206, China
| | - Li Wang
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, China.
- Department of Psychology, University of Chinese Academy of Sciences, 19A Yuquan Road, Beijing, 100049, China.
- Chinese Institute for Brain Research, 26 Science Park Road, Beijing, 102206, China.
| | - Yi Jiang
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, 19A Yuquan Road, Beijing, 100049, China
- Chinese Institute for Brain Research, 26 Science Park Road, Beijing, 102206, China
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3
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Cheng Y, Yuan X, Jiang Y. Eye pupil signals life motion perception. Atten Percept Psychophys 2024; 86:579-586. [PMID: 37258891 DOI: 10.3758/s13414-023-02729-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/05/2023] [Indexed: 06/02/2023]
Abstract
The ability to readily detect and recognize biological motion (BM) is fundamental to survival and interpersonal communication. However, perception of BM is strongly disrupted when it is shown upside down. This well-known inversion effect is proposed to be caused by a life motion detection mechanism highly tuned to gravity-compatible motion cues. In the current study, we assessed the inversion effect in BM perception using a no-report pupillometry. We found that the pupil size was significantly enlarged when observers viewed upright BMs (gravity-compatible) compared with the inverted counterparts (gravity-incompatible). Importantly, such an effect critically depended on the dynamic biological characteristics, and could be extended to local feet motion signals. These findings demonstrate that the eye pupil can signal gravity-dependent life motion perception. More importantly, with the convenience, objectivity, and noninvasiveness of pupillometry, the current study paves the way for the potential application of pupillary responses in detecting the deficiency of life motion perception in individuals with socio-cognitive disorders.
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Affiliation(s)
- Yuhui Cheng
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China
- Chinese Institute for Brain Research, Beijing, 102206, China
| | - Xiangyong Yuan
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China.
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China.
- Chinese Institute for Brain Research, Beijing, 102206, China.
| | - Yi Jiang
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China.
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China.
- Chinese Institute for Brain Research, Beijing, 102206, China.
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4
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Matsushima T, Izumi T, Vallortigara G. The domestic chick as an animal model of autism spectrum disorder: building adaptive social perceptions through prenatally formed predispositions. Front Neurosci 2024; 18:1279947. [PMID: 38356650 PMCID: PMC10864568 DOI: 10.3389/fnins.2024.1279947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Accepted: 01/10/2024] [Indexed: 02/16/2024] Open
Abstract
Equipped with an early social predisposition immediately post-birth, humans typically form associations with mothers and other family members through exposure learning, canalized by a prenatally formed predisposition of visual preference to biological motion, face configuration, and other cues of animacy. If impaired, reduced preferences can lead to social interaction impairments such as autism spectrum disorder (ASD) via misguided canalization. Despite being taxonomically distant, domestic chicks could also follow a homologous developmental trajectory toward adaptive socialization through imprinting, which is guided via predisposed preferences similar to those of humans, thereby suggesting that chicks are a valid animal model of ASD. In addition to the phenotypic similarities in predisposition with human newborns, accumulating evidence on the responsible molecular mechanisms suggests the construct validity of the chick model. Considering the recent progress in the evo-devo studies in vertebrates, we reviewed the advantages and limitations of the chick model of developmental mental diseases in humans.
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Affiliation(s)
- Toshiya Matsushima
- Department of Biology, Faculty of Science, Hokkaido University, Sapporo, Japan
- Faculty of Pharmaceutical Science, Health Science University of Hokkaido, Tobetsu, Japan
- Centre for Mind/Brain Sciences, University of Trento, Rovereto, Italy
| | - Takeshi Izumi
- Faculty of Pharmaceutical Science, Health Science University of Hokkaido, Tobetsu, Japan
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Shen L, Lu X, Wang Y, Jiang Y. Audiovisual correspondence facilitates the visual search for biological motion. Psychon Bull Rev 2023; 30:2272-2281. [PMID: 37231177 PMCID: PMC10728268 DOI: 10.3758/s13423-023-02308-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/05/2023] [Indexed: 05/27/2023]
Abstract
Hearing synchronous sounds may facilitate the visual search for the concurrently changed visual targets. Evidence for this audiovisual attentional facilitation effect mainly comes from studies using artificial stimuli with relatively simple temporal dynamics, indicating a stimulus-driven mechanism whereby synchronous audiovisual cues create a salient object to capture attention. Here, we investigated the crossmodal attentional facilitation effect on biological motion (BM), a natural, biologically significant stimulus with complex and unique dynamic profiles. We found that listening to temporally congruent sounds, compared with incongruent sounds, enhanced the visual search for BM targets. More intriguingly, such a facilitation effect requires the presence of distinctive local motion cues (especially the accelerations in feet movement) independent of the global BM configuration, suggesting a crossmodal mechanism triggered by specific biological features to enhance the salience of BM signals. These findings provide novel insights into how audiovisual integration boosts attention to biologically relevant motion stimuli and extend the function of a proposed life detection system driven by local kinematics of BM to multisensory life motion perception.
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Affiliation(s)
- Li Shen
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China
- Chinese Institute for Brain Research, Beijing, 102206, China
| | - Xiqian Lu
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China
- Chinese Institute for Brain Research, Beijing, 102206, China
| | - Ying Wang
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, China.
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China.
- Chinese Institute for Brain Research, Beijing, 102206, China.
| | - Yi Jiang
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China
- Chinese Institute for Brain Research, Beijing, 102206, China
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6
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Mundy P. Research on social attention in autism and the challenges of the research domain criteria (RDoC) framework. Autism Res 2023; 16:697-712. [PMID: 36932883 DOI: 10.1002/aur.2910] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 02/22/2023] [Indexed: 03/19/2023]
Abstract
The fuzzy nature of categories of psychopathology, such as autism, leads to significant research challenges. Alternatively, focusing research on the study of a common set of important and well-defined psychological constructs across psychiatric conditions may make the fundamental etiological processes of psychopathology easier to discern and treat (Cuthbert, 2022). The development of the research domain criteria (RDoC) framework is designed to guide this new research approach (Insel et al., 2010). However, progress in research may be expected to continually refine and reorganize the understanding of the specifics of these mental processes (Cuthbert & Insel, 2013). Moreover, knowledge gleaned from the study of both normative and atypical development can be mutually informative in the evolution of our understanding of these fundamental processes. A case in point is the study of social attention. This Autism 101 commentary provides an educational summary of research over the last few decades indicates that social attention is major construct in the study of human social-cognitive development, autism and other forms of psychopathology. The commentary also describes how this research can inform the Social Process dimension of the RDoC framework.
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Affiliation(s)
- Peter Mundy
- School of Education, Department of Psychiatry and the MIND Institute, University of California at Davis, Davis, California, USA
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7
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Cortical encoding of rhythmic kinematic structures in biological motion. Neuroimage 2023; 268:119893. [PMID: 36693597 DOI: 10.1016/j.neuroimage.2023.119893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 01/04/2023] [Accepted: 01/20/2023] [Indexed: 01/22/2023] Open
Abstract
Biological motion (BM) perception is of great survival value to human beings. The critical characteristics of BM information lie in kinematic cues containing rhythmic structures. However, how rhythmic kinematic structures of BM are dynamically represented in the brain and contribute to visual BM processing remains largely unknown. Here, we probed this issue in three experiments using electroencephalogram (EEG). We found that neural oscillations of observers entrained to the hierarchical kinematic structures of the BM sequences (i.e., step-cycle and gait-cycle for point-light walkers). Notably, only the cortical tracking of the higher-level rhythmic structure (i.e., gait-cycle) exhibited a BM processing specificity, manifested by enhanced neural responses to upright over inverted BM stimuli. This effect could be extended to different motion types and tasks, with its strength positively correlated with the perceptual sensitivity to BM stimuli at the right temporal brain region dedicated to visual BM processing. Modeling results further suggest that the neural encoding of spatiotemporally integrative kinematic cues, in particular the opponent motions of bilateral limbs, drives the selective cortical tracking of BM information. These findings underscore the existence of a cortical mechanism that encodes periodic kinematic features of body movements, which underlies the dynamic construction of visual BM perception.
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8
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Troje NF, Chang DHF. Life Detection From Biological Motion. CURRENT DIRECTIONS IN PSYCHOLOGICAL SCIENCE 2023; 32:26-32. [PMID: 36875153 PMCID: PMC9975895 DOI: 10.1177/09637214221128252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
Abstract
Life motion, the active movements of people and other animals, contains a wealth of information that is potentially accessible to the visual system of an observer. Biological-motion point-light displays have been widely used to study both the information contained in life motion stimuli and the visual mechanisms that make use of it. Biological motion conveys motion-mediated dynamic shape, which in turn can be used for identification and recognition of the agent, but it also contains local visual invariants that humans and other animals use as a general detection system that signals the presence of other agents in the visual environment. Here, we review recent research on behavioral, neurophysiological, and genetic aspects of this life-detection system and discuss its functional significance in the light of earlier hypotheses.
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Affiliation(s)
- Nikolaus F Troje
- Department of Biology & Centre for Vision Science, York University
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9
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Wang Z, Manassi M, Ren Z, Ghirardo C, Canas-Bajo T, Murai Y, Zhou M, Whitney D. Idiosyncratic biases in the perception of medical images. Front Psychol 2022; 13:1049831. [PMID: 36600706 PMCID: PMC9806180 DOI: 10.3389/fpsyg.2022.1049831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 11/29/2022] [Indexed: 12/23/2022] Open
Abstract
Introduction Radiologists routinely make life-altering decisions. Optimizing these decisions has been an important goal for many years and has prompted a great deal of research on the basic perceptual mechanisms that underlie radiologists' decisions. Previous studies have found that there are substantial individual differences in radiologists' diagnostic performance (e.g., sensitivity) due to experience, training, or search strategies. In addition to variations in sensitivity, however, another possibility is that radiologists might have perceptual biases-systematic misperceptions of visual stimuli. Although a great deal of research has investigated radiologist sensitivity, very little has explored the presence of perceptual biases or the individual differences in these. Methods Here, we test whether radiologists' have perceptual biases using controlled artificial and Generative Adversarial Networks-generated realistic medical images. In Experiment 1, observers adjusted the appearance of simulated tumors to match the previously shown targets. In Experiment 2, observers were shown with a mix of real and GAN-generated CT lesion images and they rated the realness of each image. Results We show that every tested individual radiologist was characterized by unique and systematic perceptual biases; these perceptual biases cannot be simply explained by attentional differences, and they can be observed in different imaging modalities and task settings, suggesting that idiosyncratic biases in medical image perception may widely exist. Discussion Characterizing and understanding these biases could be important for many practical settings such as training, pairing readers, and career selection for radiologists. These results may have consequential implications for many other fields as well, where individual observers are the linchpins for life-altering perceptual decisions.
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Affiliation(s)
- Zixuan Wang
- Department of Psychology, University of California, Berkeley, Berkeley, CA, United States,*Correspondence: Zixuan Wang,
| | - Mauro Manassi
- School of Psychology, University of Aberdeen, King’s College, Aberdeen, United Kingdom
| | - Zhihang Ren
- Department of Psychology, University of California, Berkeley, Berkeley, CA, United States,Vision Science Group, University of California, Berkeley, Berkeley, CA, United States
| | - Cristina Ghirardo
- Department of Psychology, University of California, Berkeley, Berkeley, CA, United States
| | - Teresa Canas-Bajo
- Department of Psychology, University of California, Berkeley, Berkeley, CA, United States,Vision Science Group, University of California, Berkeley, Berkeley, CA, United States
| | - Yuki Murai
- Center for Information and Neural Networks, National Institute of Information and Communications Technology, Koganei, Japan
| | - Min Zhou
- Department of Pediatrics, The First People's Hospital of Shuangliu District, Chengdu, Sichuan, China
| | - David Whitney
- Department of Psychology, University of California, Berkeley, Berkeley, CA, United States,Vision Science Group, University of California, Berkeley, Berkeley, CA, United States,Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States
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10
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Matsushima T, Miura M, Patzke N, Toji N, Wada K, Ogura Y, Homma KJ, Sgadò P, Vallortigara G. Fetal blockade of nicotinic acetylcholine transmission causes autism-like impairment of biological motion preference in the neonatal chick. Cereb Cortex Commun 2022; 3:tgac041. [PMID: 37674673 PMCID: PMC10478028 DOI: 10.1093/texcom/tgac041] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Revised: 10/16/2022] [Accepted: 10/25/2022] [Indexed: 09/08/2023] Open
Abstract
Several environmental chemicals are suspected risk factors for autism spectrum disorder (ASD), including valproic acid (VPA) and pesticides acting on nicotinic acetylcholine receptors (nAChRs), if administered during pregnancy. However, their target processes in fetal neuro-development are unknown. We report that the injection of VPA into the fetus impaired imprinting to an artificial object in neonatal chicks, while a predisposed preference for biological motion (BM) remained intact. Blockade of nAChRs acted oppositely, sparing imprinting and impairing BM preference. Beside ketamine and tubocurarine, significant effects of imidacloprid (a neonicotinoid insecticide) appeared at a dose ≤1 ppm. In accord with the behavioral dissociations, VPA enhanced histone acetylation in the primary cell culture of fetal telencephalon, whereas ketamine did not. VPA reduced the brain weight and the ratio of NeuN-positive cells (matured neurons) in the telencephalon of hatchlings, whereas ketamine/tubocurarine did not. Despite the distinct underlying mechanisms, both VPA and nAChR blockade similarly impaired imprinting to biological image composed of point-light animations. Furthermore, both impairments were abolished by postnatal bumetanide treatment, suggesting a common pathology underlying the social attachment malformation. Neurotransmission via nAChR is thus critical for the early social bond formation, which is hindered by ambient neonicotinoids through impaired visual predispositions for animate objects.
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Affiliation(s)
- Toshiya Matsushima
- Department of Biology, Faculty of Science, Hokkaido University, Sapporo 060-0810, Japan
- Faculty of Pharmaceutical Science, Health Science University of Hokkaido, Tobetsu 061-0293, Japan
- Center for Mind/Brain Sciences, University of Trento, Rovereto 38068, Italy
| | - Momoko Miura
- Department of Biology, Faculty of Science, Hokkaido University, Sapporo 060-0810, Japan
- Faculty of Pharmaceutical Science, Health Science University of Hokkaido, Tobetsu 061-0293, Japan
| | - Nina Patzke
- Department of Biology, Faculty of Science, Hokkaido University, Sapporo 060-0810, Japan
- Health and Medical University, Potsdam 14471, Germany
| | - Noriyuki Toji
- Department of Biology, Faculty of Science, Hokkaido University, Sapporo 060-0810, Japan
| | - Kazuhiro Wada
- Department of Biology, Faculty of Science, Hokkaido University, Sapporo 060-0810, Japan
| | - Yukiko Ogura
- Graduate School of Information Science and Technology, The University of Tokyo, Tokyo 113-8654, Japan
- Japan Science and Technology Agency, PRESTO, Kawaguchi 332-0012, Japan
| | - Koichi J Homma
- Department of Molecular Biology, Faculty of Pharmaceutical Sciences, Teikyo University, Tokyo 173-8605, Japan
| | - Paola Sgadò
- Center for Mind/Brain Sciences, University of Trento, Rovereto 38068, Italy
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11
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Pavlova MA, Romagnano V, Kubon J, Isernia S, Fallgatter AJ, Sokolov AN. Ties between reading faces, bodies, eyes, and autistic traits. Front Neurosci 2022; 16:997263. [PMID: 36248653 PMCID: PMC9554539 DOI: 10.3389/fnins.2022.997263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 08/12/2022] [Indexed: 11/29/2022] Open
Abstract
While reading covered with masks faces during the COVID-19 pandemic, for efficient social interaction, we need to combine information from different sources such as the eyes (without faces hidden by masks) and bodies. This may be challenging for individuals with neuropsychiatric conditions, in particular, autism spectrum disorders. Here we examined whether reading of dynamic faces, bodies, and eyes are tied in a gender-specific way, and how these capabilities are related to autistic traits expression. Females and males accomplished a task with point-light faces along with a task with point-light body locomotion portraying different emotional expressions. They had to infer emotional content of displays. In addition, participants were administered the Reading the Mind in the Eyes Test, modified and Autism Spectrum Quotient questionnaire. The findings show that only in females, inferring emotions from dynamic bodies and faces are firmly linked, whereas in males, reading in the eyes is knotted with face reading. Strikingly, in neurotypical males only, accuracy of face, body, and eyes reading was negatively tied with autistic traits. The outcome points to gender-specific modes in social cognition: females rely upon merely dynamic cues while reading faces and bodies, whereas males most likely trust configural information. The findings are of value for examination of face and body language reading in neuropsychiatric conditions, in particular, autism, most of which are gender/sex-specific. This work suggests that if male individuals with autistic traits experience difficulties in reading covered with masks faces, these deficits may be unlikely compensated by reading (even dynamic) bodies and faces. By contrast, in females, reading covered faces as well as reading language of dynamic bodies and faces are not compulsorily connected to autistic traits preventing them from paying high costs for maladaptive social interaction.
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Affiliation(s)
- Marina A. Pavlova
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health (TüCMH), Medical School and University Hospital, Eberhard Karls University of Tübingen, Tübingen, Germany
- *Correspondence: Marina A. Pavlova,
| | - Valentina Romagnano
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health (TüCMH), Medical School and University Hospital, Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Julian Kubon
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health (TüCMH), Medical School and University Hospital, Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Sara Isernia
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | - Andreas J. Fallgatter
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health (TüCMH), Medical School and University Hospital, Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Alexander N. Sokolov
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health (TüCMH), Medical School and University Hospital, Eberhard Karls University of Tübingen, Tübingen, Germany
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12
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Ma X, Yuan X, Liu J, Shen L, Yu Y, Zhou W, Liu Z, Jiang Y. Gravity-Dependent Animacy Perception in Zebrafish. RESEARCH (WASHINGTON, D.C.) 2022; 2022:9829016. [PMID: 36128180 PMCID: PMC9470206 DOI: 10.34133/2022/9829016] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Accepted: 07/29/2022] [Indexed: 11/13/2022]
Abstract
Biological motion (BM), depicted by a handful of point lights attached to the major joints, conveys rich animacy information, which is significantly disrupted if BM is shown upside down. This well-known inversion effect in BM perception is conserved in terrestrial vertebrates and is presumably a manifestation of an evolutionarily endowed perceptual filter (i.e., life motion detector) tuned to gravity-compatible BM. However, it remains unknown whether aquatic animals, living in a completely different environment from terrestrial animals, perceive BM in a gravity-dependent manner. Here, taking advantage of their typical shoaling behaviors, we used zebrafish as a model animal to examine the ability of teleosts to discriminate between upright (gravity-compatible) and inverted (gravity-incompatible) BM signals. We recorded their swimming trajectories and quantified their preference based on dwelling time and head orientation. The results obtained from three experiments consistently showed that zebrafish spent significantly more time swimming in proximity to and orienting towards the upright BM relative to the inverted BM or other gravity-incompatible point-light stimuli (i.e., the non-BM). More intriguingly, when the recorded point-light video clips of fish were directly compared with those of human walkers and pigeons, we could identify a unique and consistent pattern of accelerating movements in the vertical (gravity) direction. These findings, to our knowledge, demonstrate for the first time the inversion effect in BM perception in simple aquatic vertebrates and suggest that the evolutionary origin of gravity-dependent BM processing may be traced back to ancient aquatic animals.
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Affiliation(s)
- Xiaohan Ma
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Chinese Institute for Brain Research, Beijing 102206, China
| | - Xiangyong Yuan
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Chinese Institute for Brain Research, Beijing 102206, China
| | - Jiahuan Liu
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
| | - Li Shen
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Chinese Institute for Brain Research, Beijing 102206, China
| | - Yiwen Yu
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Chinese Institute for Brain Research, Beijing 102206, China
| | - Wen Zhou
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Chinese Institute for Brain Research, Beijing 102206, China
| | - Zuxiang Liu
- University of Chinese Academy of Sciences, Beijing 100049, China
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei 230088, China
| | - Yi Jiang
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Chinese Institute for Brain Research, Beijing 102206, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei 230088, China
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13
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Cheng Y, Liu W, Yuan X, Jiang Y. Following Other People's Footsteps: A Contextual-Attraction Effect Induced by Biological Motion. Psychol Sci 2022; 33:1522-1531. [PMID: 35985032 DOI: 10.1177/09567976221091211] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Our visual system is bombarded with numerous social interactions that form intangible social bonds among people, as exemplified by synchronized walking in crowds. Here, we investigated whether these perceived social bonds implicitly intrude on visual perception and induce a contextual effect. Using multiple point-light walkers and a classical contextual paradigm, we tested 72 college-age adults across six experiments and found that the perceived direction of the central walker was attracted toward the direction of the surrounding walkers. The observed contextual-attraction effect occurred even when the surrounding walkers differed from the central walker in gender and walking speed but disappeared when they were asynchronously presented or replaced by inanimate motion. Strikingly, this contextual-attraction effect partially persisted in the context of local motion rather than static figures. These findings, in contrast to the typical contextual-repulsion effect, lend support for the distinctiveness of perceived social bonds on contextual modulation and suggest a specialized contextual mechanism tuned to social factors.
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Affiliation(s)
- Yuhui Cheng
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences.,Department of Psychology, University of Chinese Academy of Sciences.,Chinese Institute for Brain Research, Beijing, China
| | - Wenjie Liu
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences.,Department of Psychology, University of Chinese Academy of Sciences.,Chinese Institute for Brain Research, Beijing, China
| | - Xiangyong Yuan
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences.,Department of Psychology, University of Chinese Academy of Sciences.,Chinese Institute for Brain Research, Beijing, China
| | - Yi Jiang
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences.,Department of Psychology, University of Chinese Academy of Sciences.,Chinese Institute for Brain Research, Beijing, China
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14
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Knight EJ, Krakowski AI, Freedman EG, Butler JS, Molholm S, Foxe JJ. Attentional influences on neural processing of biological motion in typically developing children and those on the autism spectrum. Mol Autism 2022; 13:33. [PMID: 35850696 PMCID: PMC9290301 DOI: 10.1186/s13229-022-00512-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 06/29/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Biological motion imparts rich information related to the movement, actions, intentions and affective state of others, which can provide foundational support for various aspects of social cognition and behavior. Given that atypical social communication and cognition are hallmark symptoms of autism spectrum disorder (ASD), many have theorized that a potential source of this deficit may lie in dysfunctional neural mechanisms of biological motion processing. Synthesis of existing literature provides some support for biological motion processing deficits in autism spectrum disorder, although high study heterogeneity and inconsistent findings complicate interpretation. Here, we attempted to reconcile some of this residual controversy by investigating a possible modulating role for attention in biological motion processing in ASD. METHODS We employed high-density electroencephalographic recordings while participants observed point-light displays of upright, inverted and scrambled biological motion under two task conditions to explore spatiotemporal dynamics of intentional and unintentional biological motion processing in children and adolescents with ASD (n = 27), comparing them to a control cohort of neurotypical (NT) participants (n = 35). RESULTS Behaviorally, ASD participants were able to discriminate biological motion with similar accuracy to NT controls. However, electrophysiologic investigation revealed reduced automatic selective processing of upright biologic versus scrambled motion stimuli in ASD relative to NT individuals, which was ameliorated when task demands required explicit attention to biological motion. Additionally, we observed distinctive patterns of covariance between visual potentials evoked by biological motion and functional social ability, such that Vineland Adaptive Behavior Scale-Socialization domain scores were differentially associated with biological motion processing in the N1 period in the ASD but not the NT group. LIMITATIONS The cross-sectional design of this study does not allow us to definitively answer the question of whether developmental differences in attention to biological motion cause disruption in social communication, and the sample was limited to children with average or above cognitive ability. CONCLUSIONS Together, these data suggest that individuals with ASD are able to discriminate, with explicit attention, biological from non-biological motion but demonstrate diminished automatic neural specificity for biological motion processing, which may have cascading implications for the development of higher-order social cognition.
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Affiliation(s)
- Emily J Knight
- The Frederick J. and Marion A. Schindler Cognitive Neurophysiology Laboratory, Department of Neuroscience, University of Rochester School of Medicine and Dentistry, The Del Monte Institute for Neuroscience, University of Rochester Medical Center, 601 Elmwood Avenue, Box 603, Rochester, NY, 14642, USA. .,Division of Developmental and Behavioral Pediatrics, Department of Pediatrics, University of Rochester Medical Center, School of Medicine and Dentistry, University of Rochester, 601 Elmwood Avenue, Box 671, Rochester, NY, 14642, USA.
| | - Aaron I Krakowski
- The Cognitive Neurophysiology Laboratory, Department of Pediatrics and Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA.,Program in Cognitive Neuroscience, The Graduate Center of the City University of New York, 365 Fifth Avenue, New York, NY, 10016, USA
| | - Edward G Freedman
- The Frederick J. and Marion A. Schindler Cognitive Neurophysiology Laboratory, Department of Neuroscience, University of Rochester School of Medicine and Dentistry, The Del Monte Institute for Neuroscience, University of Rochester Medical Center, 601 Elmwood Avenue, Box 603, Rochester, NY, 14642, USA
| | - John S Butler
- The Cognitive Neurophysiology Laboratory, Department of Pediatrics and Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA.,School of Mathematical Sciences, Technological University Dublin, Kevin Street, Dublin, Ireland
| | - Sophie Molholm
- The Frederick J. and Marion A. Schindler Cognitive Neurophysiology Laboratory, Department of Neuroscience, University of Rochester School of Medicine and Dentistry, The Del Monte Institute for Neuroscience, University of Rochester Medical Center, 601 Elmwood Avenue, Box 603, Rochester, NY, 14642, USA.,The Cognitive Neurophysiology Laboratory, Department of Pediatrics and Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA.,Program in Cognitive Neuroscience, The Graduate Center of the City University of New York, 365 Fifth Avenue, New York, NY, 10016, USA
| | - John J Foxe
- The Frederick J. and Marion A. Schindler Cognitive Neurophysiology Laboratory, Department of Neuroscience, University of Rochester School of Medicine and Dentistry, The Del Monte Institute for Neuroscience, University of Rochester Medical Center, 601 Elmwood Avenue, Box 603, Rochester, NY, 14642, USA. .,The Cognitive Neurophysiology Laboratory, Department of Pediatrics and Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA. .,Program in Cognitive Neuroscience, The Graduate Center of the City University of New York, 365 Fifth Avenue, New York, NY, 10016, USA.
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15
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Duarte JV, Abreu R, Castelo-Branco M. A two-stage framework for neural processing of biological motion. Neuroimage 2022; 259:119403. [PMID: 35738331 DOI: 10.1016/j.neuroimage.2022.119403] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Revised: 05/18/2022] [Accepted: 06/19/2022] [Indexed: 11/26/2022] Open
Abstract
It remains to be understood how biological motion is hierarchically computed, from discrimination of local biological motion animacy to global dynamic body perception. Here, we addressed this functional separation of the correlates of the perception of local biological motion from perception of global motion of a body. We hypothesized that local biological motion processing can be isolated, by using a single dot motion perceptual decision paradigm featuring the biomechanical details of local realistic motion of a single joint. To ensure that we were indeed tackling processing of biological motion properties we used a discrimination instead of detection task. We discovered using representational similarity analysis that two key early dorsal and two ventral stream regions (visual motion selective hMT+ and V3A, extrastriate body area EBA and a region within fusiform gyrus FFG) showed robust and separable signals related to encoding of local biological motion and global motion-mediated shape. These signals reflected two independent processing stages, as revealed by representational similarity analysis and deconvolution of fMRI responses to each motion pattern. This study showed that higher level pSTS encodes both classes of biological motion in a similar way, revealing a higher-level integrative stage, reflecting scale independent biological motion perception. Our results reveal a two-stage framework for neural computation of biological motion, with an independent contribution of dorsal and ventral regions for the initial stage.
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Affiliation(s)
- João Valente Duarte
- Centre of Biomedical Imaging and Translational Research (CIBIT), Institute of Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Portugal; Faculty of Medicine, University of Coimbra, Portugal
| | - Rodolfo Abreu
- Centre of Biomedical Imaging and Translational Research (CIBIT), Institute of Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Portugal
| | - Miguel Castelo-Branco
- Centre of Biomedical Imaging and Translational Research (CIBIT), Institute of Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Portugal; Faculty of Medicine, University of Coimbra, Portugal.
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16
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Wang Y, Zhang X, Wang C, Huang W, Xu Q, Liu D, Zhou W, Chen S, Jiang Y. Modulation of biological motion perception in humans by gravity. Nat Commun 2022; 13:2765. [PMID: 35589705 PMCID: PMC9120521 DOI: 10.1038/s41467-022-30347-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 04/26/2022] [Indexed: 12/02/2022] Open
Abstract
The human visual perceptual system is highly sensitive to biological motion (BM) but less sensitive to its inverted counterpart. This perceptual inversion effect may stem from our selective sensitivity to gravity-constrained life motion signals and confer an adaptive advantage to creatures living on Earth. However, to what extent and how such selective sensitivity is shaped by the Earth’s gravitational field is heretofore unexplored. Taking advantage of a spaceflight experiment and its ground-based analog via 6° head-down tilt bed rest (HDTBR), we show that prolonged microgravity/HDTBR reduces the inversion effect in BM perception. No such change occurs for face perception, highlighting the particular role of gravity in regulating kinematic motion analysis. Moreover, the reduced BM inversion effect is associated with attenuated orientation-dependent neural responses to BM rather than general motion cues and correlated with strengthened functional connectivity between cortical regions dedicated to visual BM processing (i.e., pSTS) and vestibular gravity estimation (i.e., insula). These findings suggest that the neural computation of gravity may act as an embodied constraint, presumably implemented through visuo-vestibular interaction, to sustain the human brain’s selective tuning to life motion signals. Utilizing spaceflight and its ground-based analog, the authors show how the Earth’s gravity sustains the human brain’s orientation-dependent sensitivity to biological motion signals based on neural computations of visual and vestibular gravitational cues.
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Affiliation(s)
- Ying Wang
- State Key Laboratory of Brain and Cognitive Sciences, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.,Chinese Institute for Brain Research, Beijing, China
| | - Xue Zhang
- State Key Laboratory of Brain and Cognitive Sciences, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.,Chinese Institute for Brain Research, Beijing, China.,Institute of Aviation Human Factors and Cognitive Neuroscience, Department of Aviation Psychology, Flight Technology college, Civil Aviation Flight University of China, Guanghan, China
| | - Chunhui Wang
- National Key Laboratory of Human Factors Engineering, China Astronaut Research and Training Center, Beijing, China
| | - Weifen Huang
- National Key Laboratory of Human Factors Engineering, China Astronaut Research and Training Center, Beijing, China
| | - Qian Xu
- State Key Laboratory of Brain and Cognitive Sciences, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.,Chinese Institute for Brain Research, Beijing, China
| | - Dong Liu
- State Key Laboratory of Brain and Cognitive Sciences, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.,Chinese Institute for Brain Research, Beijing, China
| | - Wen Zhou
- State Key Laboratory of Brain and Cognitive Sciences, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.,Chinese Institute for Brain Research, Beijing, China
| | - Shanguang Chen
- National Key Laboratory of Human Factors Engineering, China Astronaut Research and Training Center, Beijing, China. .,China Manned Space Agency, Beijing, China.
| | - Yi Jiang
- State Key Laboratory of Brain and Cognitive Sciences, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing, China. .,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China. .,Chinese Institute for Brain Research, Beijing, China. .,Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China.
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17
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Piccinini G. Situated Neural Representations: Solving the Problems of Content. Front Neurorobot 2022; 16:846979. [PMID: 35496901 PMCID: PMC9049929 DOI: 10.3389/fnbot.2022.846979] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 03/23/2022] [Indexed: 11/19/2022] Open
Abstract
Situated approaches to cognition maintain that cognition is embodied, embedded, enactive, and affective (and extended, but that is not relevant here). Situated approaches are often pitched as alternatives to computational and representational approaches, according to which cognition is computation over representations. I argue that, far from being opposites, situatedness and neural representation are more deeply intertwined than anyone suspected. To show this, I introduce a neurocomputational account of cognition that relies on neural representations. I argue not only that this account is compatible with (non-question-begging) situated approaches, but also that it requires embodiment, embeddedness, enaction, and affect at its very core. That is, constructing neural representations and their semantic content, and learning computational processes appropriate for their content, requires a tight dynamic interaction between nervous system, body, and environment. Most importantly, I argue that situatedness is needed to give a satisfactory account of neural representation: neurocognitive systems that are embodied, embedded, affective, dynamically interact with their environment, and use feedback from their interaction to shape their own representations and computations (1) can construct neural representations with original semantic content, (2) their neural vehicles and the way they are processed are automatically coordinated with their content, (3) such content is causally efficacious, (4) is determinate enough for the system's purposes, (5) represents the distal stimulus, and (6) can misrepresent. This proposal hints at what is needed to build artifacts with some of the basic cognitive capacities possessed by neurocognitive systems.
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18
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Mundy P, Bullen J. The Bidirectional Social-Cognitive Mechanisms of the Social-Attention Symptoms of Autism. Front Psychiatry 2022; 12:752274. [PMID: 35173636 PMCID: PMC8841840 DOI: 10.3389/fpsyt.2021.752274] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 12/20/2021] [Indexed: 11/13/2022] Open
Abstract
Differences in social attention development begin to be apparent in the 6th to 12th month of development in children with Autism Spectrum Disorder (ASD) and theoretically reflect important elements of its neurodevelopmental endophenotype. This paper examines alternative conceptual views of these early social attention symptoms and hypotheses about the mechanisms involved in their development. One model emphasizes mechanism involved in the spontaneous allocation of attention to faces, or social orienting. Alternatively, another model emphasizes mechanisms involved in the coordination of attention with other people, or joint attention, and the socially bi-directional nature of its development. This model raises the possibility that atypical responses of children to the attention or the gaze of a social partner directed toward themselves may be as important in the development of social attention symptoms as differences in the development of social orienting. Another model holds that symptoms of social attention may be important to early development, but may not impact older individuals with ASD. The alterative model is that the social attention symptoms in infancy (social orienting and joint attention), and social cognitive symptoms in childhood and adulthood share common neurodevelopmental substrates. Therefore, differences in early social attention and later social cognition constitute a developmentally continuous axis of symptom presentation in ASD. However, symptoms in older individuals may be best measured with in vivo measures of efficiency of social attention and social cognition in social interactions rather than the accuracy of response on analog tests used in measures with younger children. Finally, a third model suggests that the social attention symptoms may not truly be a symptom of ASD. Rather, they may be best conceptualized as stemming from differences domain general attention and motivation mechanisms. The alternative argued for here that infant social attention symptoms meet all the criteria of a unique dimension of the phenotype of ASD and the bi-directional phenomena involved in social attention cannot be fully explained in terms of domain general aspects of attention development.
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Affiliation(s)
- Peter Mundy
- Department of Learning and Mind Sciences, School of Education, University of California, Davis, Davis, CA, United States
- Department of Psychiatry and Behavioral Science and The MIND Institute, UC Davis School of Medicine, Sacramento, CA, United States
| | - Jenifer Bullen
- Department of Human Development, School of Human Ecology, University of California, Davis, Davis, CA, United States
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19
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Grazia A, Wimmer M, Müller-Putz GR, Wriessnegger SC. Neural Suppression Elicited During Motor Imagery Following the Observation of Biological Motion From Point-Light Walker Stimuli. Front Hum Neurosci 2022; 15:788036. [PMID: 35069155 PMCID: PMC8779203 DOI: 10.3389/fnhum.2021.788036] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 12/10/2021] [Indexed: 11/26/2022] Open
Abstract
Introduction: Advantageous effects of biological motion (BM) detection, a low-perceptual mechanism that allows the rapid recognition and understanding of spatiotemporal characteristics of movement via salient kinematics information, can be amplified when combined with motor imagery (MI), i.e., the mental simulation of motor acts. According to Jeannerod's neurostimulation theory, asynchronous firing and reduction of mu and beta rhythm oscillations, referred to as suppression over the sensorimotor area, are sensitive to both MI and action observation (AO) of BM. Yet, not many studies investigated the use of BM stimuli using combined AO-MI tasks. In this study, we assessed the neural response in the form of event-related synchronization and desynchronization (ERD/S) patterns following the observation of point-light-walkers and concordant MI, as compared to MI alone. Methods: Twenty right-handed healthy participants accomplished the experimental task by observing BM stimuli and subsequently performing the same movement using kinesthetic MI (walking, cycling, and jumping conditions). We recorded an electroencephalogram (EEG) with 32 channels and performed time-frequency analysis on alpha (8-13 Hz) and beta (18-24 Hz) frequency bands during the MI task. A two-way repeated-measures ANOVA was performed to test statistical significance among conditions and electrodes of interest. Results: The results revealed significant ERD/S patterns in the alpha frequency band between conditions and electrode positions. Post hoc comparisons showed significant differences between condition 1 (walking) and condition 3 (jumping) over the left primary motor cortex. For the beta band, a significantly less difference in ERD patterns (p < 0.01) was detected only between condition 3 (jumping) and condition 4 (reference). Discussion: Our results confirmed that the observation of BM combined with MI elicits a neural suppression, although just in the case of jumping. This is in line with previous findings of AO and MI (AOMI) eliciting a neural suppression for simulated whole-body movements. In the last years, increasing evidence started to support the integration of AOMI training as an adjuvant neurorehabilitation tool in Parkinson's disease (PD). Conclusion: We concluded that using BM stimuli in AOMI training could be promising, as it promotes attention to kinematic features and imitative motor learning.
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Affiliation(s)
- Alice Grazia
- Deutsches Zentrum für Neurodegenerative Erkrankungen, Rostock-Greifswald, Rostock, Germany
- Department of General Psychology, University of Padova, Padua, Italy
| | - Michael Wimmer
- Institute of Neural Engineering, Graz University of Technology, Graz, Austria
| | - Gernot R. Müller-Putz
- Institute of Neural Engineering, Graz University of Technology, Graz, Austria
- BioTechMed-Graz, Graz, Austria
| | - Selina C. Wriessnegger
- Institute of Neural Engineering, Graz University of Technology, Graz, Austria
- BioTechMed-Graz, Graz, Austria
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20
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Chen L, Xu Q, Shen L, Yuan T, Wang Y, Zhou W, Jiang Y. Distinct Contributions of Genes and Environment to Visual Size Illusion and the Underlying Neural Mechanism. Cereb Cortex 2021; 32:1014-1023. [PMID: 34379728 PMCID: PMC8889949 DOI: 10.1093/cercor/bhab262] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 06/29/2021] [Accepted: 06/30/2021] [Indexed: 11/12/2022] Open
Abstract
As exemplified by the Ebbinghaus illusion, the perceived size of an object can be significantly biased by its surrounding context. The phenomenon is experienced by humans as well as other species, hence likely evolutionarily adaptive. Here, we examined the heritability of the Ebbinghaus illusion using a combination of the classic twin method and multichannel functional near-infrared spectroscopy. Results show that genes account for over 50% of the variance in the strength of the experienced illusion. Interestingly, activations evoked by the Ebbinghaus stimuli in the early visual cortex are explained by genetic factors whereas those in the posterior temporal cortex are explained by environmental factors. In parallel, the feedforward functional connectivity between the occipital cortex and the temporal cortex is modulated by genetic effects whereas the feedback functional connectivity is entirely shaped by environment, despite both being significantly correlated with the strength of the experienced illusion. These findings demonstrate that genetic and environmental factors work in tandem to shape the context-dependent visual size illusion, and shed new light on the links among genes, environment, brain, and subjective experience.
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Affiliation(s)
- Lihong Chen
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian 116029, P.R. China.,Key Laboratory of Brain and Cognitive Neuroscience, Liaoning Province, Dalian 116029, P.R. China.,State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, P.R. China
| | - Qian Xu
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, P.R. China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, P.R. China.,Chinese Institute for Brain Research, Beijing 102206, P.R. China
| | - Li Shen
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, P.R. China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, P.R. China.,Chinese Institute for Brain Research, Beijing 102206, P.R. China
| | - Tian Yuan
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, P.R. China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, P.R. China.,Chinese Institute for Brain Research, Beijing 102206, P.R. China
| | - Ying Wang
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, P.R. China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, P.R. China.,Chinese Institute for Brain Research, Beijing 102206, P.R. China
| | - Wen Zhou
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, P.R. China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, P.R. China.,Chinese Institute for Brain Research, Beijing 102206, P.R. China
| | - Yi Jiang
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, P.R. China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, P.R. China.,Chinese Institute for Brain Research, Beijing 102206, P.R. China.,Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei 230088, P.R. China
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21
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Spatiotemporal dynamics of responses to biological motion in the human brain. Cortex 2021; 136:124-139. [PMID: 33545617 DOI: 10.1016/j.cortex.2020.12.015] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Revised: 05/27/2020] [Accepted: 12/10/2020] [Indexed: 01/01/2023]
Abstract
We sought to understand the spatiotemporal characteristics of biological motion perception. We presented observers with biological motion walkers that differed in terms of form coherence or kinematics (i.e., the presence or absence of natural acceleration). Participants were asked to discriminate the facing direction of the stimuli while their magnetoencephalographic responses were concurrently imaged. We found that two univariate response components can be observed around ~200 msec and ~650 msec post-stimulus onset, each engaging lateral-occipital and parietal cortex prior to temporal and frontal cortex. Moreover, while univariate responses show biological motion form-specificity only after 300 msec, multivariate patterns specific to form can be well discriminated from those for local cues as early as 100 msec after stimulus onset. By finally examining the representational similarity of fMRI and MEG patterned responses, we show that early responses to biological motion are most likely sourced to occipital cortex while later responses likely originate from extrastriate body areas.
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22
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Kaliukhovich DA, Manyakov NV, Bangerter A, Ness S, Skalkin A, Boice M, Goodwin MS, Dawson G, Hendren R, Leventhal B, Shic F, Pandina G. Visual Preference for Biological Motion in Children and Adults with Autism Spectrum Disorder: An Eye-Tracking Study. J Autism Dev Disord 2021; 51:2369-2380. [PMID: 32951157 PMCID: PMC8189980 DOI: 10.1007/s10803-020-04707-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
Participants with autism spectrum disorder (ASD) (n = 121, mean [SD] age: 14.6 [8.0] years) and typically developing (TD) controls (n = 40, 16.4 [13.3] years) were presented with a series of videos representing biological motion on one side of a computer monitor screen and non-biological motion on the other, while their eye movements were recorded. As predicted, participants with ASD spent less overall time looking at presented stimuli than TD participants (P < 10-3) and showed less preference for biological motion (P < 10-5). Participants with ASD also had greater average latencies than TD participants of the first fixation on both biological (P < 0.01) and non-biological motion (P < 0.02). Findings suggest that individuals with ASD differ from TD individuals on multiple properties of eye movements and biological motion preference.
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Affiliation(s)
- Dzmitry A. Kaliukhovich
- grid.419619.20000 0004 0623 0341Janssen Pharmaceutica NV, Turnhoutseweg 30, 2340 Beerse, Belgium
| | - Nikolay V. Manyakov
- grid.419619.20000 0004 0623 0341Janssen Pharmaceutica NV, Turnhoutseweg 30, 2340 Beerse, Belgium
| | - Abigail Bangerter
- grid.497530.c0000 0004 0389 4927Janssen Research & Development, LLC, 1125 Trenton-Harbourton Road, Titusville, NJ 08560 USA
| | - Seth Ness
- grid.497530.c0000 0004 0389 4927Janssen Research & Development, LLC, 1125 Trenton-Harbourton Road, Titusville, NJ 08560 USA
| | - Andrew Skalkin
- grid.497530.c0000 0004 0389 4927Janssen Research & Development, LLC, 1125 Trenton-Harbourton Road, Titusville, NJ 08560 USA ,Present Address: DataGrok, Inc., 1800 JFK Blvd Suite 300, PMB 90078, Philadelphia, PA 19103 USA
| | - Matthew Boice
- grid.497530.c0000 0004 0389 4927Janssen Research & Development, LLC, 1125 Trenton-Harbourton Road, Titusville, NJ 08560 USA
| | - Matthew S. Goodwin
- grid.261112.70000 0001 2173 3359Department of Health Sciences, Bouvé College of Health Sciences, Northeastern University, 312E Robinson Hall, 360 Huntington Avenue, Boston, MA 02115 USA
| | - Geraldine Dawson
- grid.26009.3d0000 0004 1936 7961Duke Center for Autism and Brain Development, Duke University School of Medicine, 2608 Erwin Road, Suite 30, Durham, NC 27705 USA
| | - Robert Hendren
- grid.34477.330000000122986657Present Address: Center for Child Health, Behavior and Development, Seattle Children’s Research Institute, Department of Pediatrics, University of Washington School of Medicine, 2001 8th Ave Suite #400, Seattle, WA 98121 USA
| | - Bennett Leventhal
- grid.266102.10000 0001 2297 6811Benioff Children’s Hospital, University of California, San Francisco, 401 Parnassus Ave, Langley Porter, San Francisco, CA 94143-0984 USA
| | - Frederick Shic
- grid.34477.330000000122986657Present Address: Center for Child Health, Behavior and Development, Seattle Children’s Research Institute, Department of Pediatrics, University of Washington School of Medicine, 2001 8th Ave Suite #400, Seattle, WA 98121 USA ,grid.47100.320000000419368710Yale Child Study Center, Yale University School of Medicine, New Haven, USA
| | - Gahan Pandina
- grid.497530.c0000 0004 0389 4927Janssen Research & Development, LLC, 1125 Trenton-Harbourton Road, Titusville, NJ 08560 USA
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23
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Yu Y, Ji H, Wang L, Jiang Y. Cross-modal social attention triggered by biological motion cues. J Vis 2020; 20:21. [PMID: 33112938 PMCID: PMC7594627 DOI: 10.1167/jov.20.10.21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Previous research has demonstrated that biological motion (BM) cues can induce reflexive attentional orienting. This BM-triggered social attention has hitherto only been investigated within visual modality. It remains unknown whether and to what extent social attention induced by BM cues can occur across different sensory modalities. By introducing auditory stimuli to a modified central cueing paradigm, we showed that observers responded significantly faster to auditory targets presented in the walking direction of BM than in the opposite direction, reflecting the notion that BM cues can trigger cross-modal social attention. This effect was not due to the viewpoint effect of the global configuration and could be extended to local BM cues without any global configuration. Critically, such cross-modal social attention was sensitive to the orientation of BM cues and completely disappeared when critical biological characteristics were removed. Our findings, taken together, support the existence of a special multimodal attention mechanism tuned to life motion signals and shed new light on the unique and cross-modal nature of social attention.
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Affiliation(s)
- Yiwen Yu
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.,Chinese Institute for Brain Research, Beijing, China.,
| | - Haoyue Ji
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.,Chinese Institute for Brain Research, Beijing, China.,
| | - Li Wang
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.,Chinese Institute for Brain Research, Beijing, China.,
| | - Yi Jiang
- State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.,Chinese Institute for Brain Research, Beijing, China.,Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China.,
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24
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Zhu Z, Chen B, Na R, Fang W, Zhang W, Zhou Q, Zhou S, Lei H, Huang A, Chen T, Ni D, Gu Y, Liu J, Rao Y, Fang F. A genome-wide association study reveals a substantial genetic basis underlying the Ebbinghaus illusion. J Hum Genet 2020; 66:261-271. [PMID: 32939015 DOI: 10.1038/s10038-020-00827-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 08/03/2020] [Accepted: 08/04/2020] [Indexed: 11/09/2022]
Abstract
The Ebbinghaus illusion (EI) is an optical illusion of relative size perception that reflects the contextual integration ability in the visual modality. The current study investigated the genetic basis of two subtypes of EI, EI overestimation, and EI underestimation in humans, using quantitative genomic analyses. A total of 2825 Chinese adults were tested on their magnitudes of EI overestimation and underestimation using the method of adjustment, a standard psychophysical protocol. Heritability estimation based on common single nucleotide polymorphisms (SNPs) revealed a moderate heritability (34.3%) of EI overestimation but a nonsignificant heritability of EI underestimation. A meta-analysis of two phases (phase 1: n = 1986, phase 2: n = 839) of genome-wide association study (GWAS) discovered 1969 and 58 SNPs reaching genome-wide significance for EI overestimation and EI underestimation, respectively. Among these SNPs, 55 linkage-disequilibrium-independent SNPs were associated with EI overestimation in phase 1 with genome-wide significance and their associations could be confirmed in phase 2 cohort. Gene-based analyses found seven genes to be associated with EI overestimation at the genome-wide level, two from meta-analysis, and five from classical two-stage analysis. Overall, this study provided consistent evidence for a substantial genetic basis of the Ebbinghaus illusion.
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Affiliation(s)
- Zijian Zhu
- School of Psychology, Shaanxi Normal University, 710062, Xi'an, China
| | - Biqing Chen
- PKU-IDG/McGovern Institute for Brain Research, and Peking-Tsinghua Center for Life Sciences, Peking University, 100871, Beijing, China.,Central Laboratory, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, 210029, Nanjing, China
| | - Ren Na
- PKU-IDG/McGovern Institute for Brain Research, and Peking-Tsinghua Center for Life Sciences, Peking University, 100871, Beijing, China
| | - Wan Fang
- PKU-IDG/McGovern Institute for Brain Research, and Peking-Tsinghua Center for Life Sciences, Peking University, 100871, Beijing, China.,Beijing Innovative Center for Genomics, Peking University School of Life Sciences, and National Institute of Biological Sciences, 102206, Beijing, China
| | - Wenxia Zhang
- PKU-IDG/McGovern Institute for Brain Research, and Peking-Tsinghua Center for Life Sciences, Peking University, 100871, Beijing, China
| | - Qin Zhou
- College of Laboratory Medicine, Chongqing Medical University, 400016, Chongqing, China
| | - Shanbi Zhou
- University-Town Hospital of Chongqing Medical University, 401331, Chongqing, China
| | - Han Lei
- College of Laboratory Medicine, Chongqing Medical University, 400016, Chongqing, China
| | - Ailong Huang
- College of Laboratory Medicine, Chongqing Medical University, 400016, Chongqing, China
| | - Tingmei Chen
- College of Laboratory Medicine, Chongqing Medical University, 400016, Chongqing, China
| | - Dongsheng Ni
- Division of Molecular Nephrology and Creative Training Center for Undergraduates, M.O.E. Key Laboratory of Medical Diagnostics, College of Laboratory Medicine, Chongqing Medical University, 400016, Chongqing, China
| | - Yuping Gu
- Division of Molecular Nephrology and Creative Training Center for Undergraduates, M.O.E. Key Laboratory of Medical Diagnostics, College of Laboratory Medicine, Chongqing Medical University, 400016, Chongqing, China
| | - Jianing Liu
- Division of Molecular Nephrology and Creative Training Center for Undergraduates, M.O.E. Key Laboratory of Medical Diagnostics, College of Laboratory Medicine, Chongqing Medical University, 400016, Chongqing, China
| | - Yi Rao
- PKU-IDG/McGovern Institute for Brain Research, and Peking-Tsinghua Center for Life Sciences, Peking University, 100871, Beijing, China. .,Beijing Innovative Center for Genomics, Peking University School of Life Sciences, and National Institute of Biological Sciences, 102206, Beijing, China.
| | - Fang Fang
- PKU-IDG/McGovern Institute for Brain Research, and Peking-Tsinghua Center for Life Sciences, Peking University, 100871, Beijing, China. .,School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, 100871, Beijing, China.
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25
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Karaminis T, Arrighi R, Forth G, Burr D, Pellicano E. Adaptation to the Speed of Biological Motion in Autism. J Autism Dev Disord 2020; 50:373-385. [PMID: 31630295 PMCID: PMC6994433 DOI: 10.1007/s10803-019-04241-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
Autistic individuals often present atypicalities in adaptation-the continuous recalibration of perceptual systems driven by recent sensory experiences. Here, we examined such atypicalities in human biological motion. We used a dual-task paradigm, including a running-speed discrimination task ('comparing the speed of two running silhouettes') and a change-detection task ('detecting fixation-point shrinkages') assessing attention. We tested 19 school-age autistic and 19 age- and ability-matched typical participants, also recording eye-movements. The two groups presented comparable speed-discrimination abilities and, unexpectedly, comparable adaptation. Accuracy in the change-detection task and the scatter of eye-fixations around the fixation point were also similar across groups. Yet, the scatter of fixations reliably predicted the magnitude of adaptation, demonstrating the importance of controlling for attention in adaptation studies.
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Affiliation(s)
- Themis Karaminis
- Department of Psychology, Edge Hill University, St Helens Rd, Ormskirk, L39 4QP, UK. .,Centre for Research in Autism and Education, UCL, London, UK.
| | - Roberto Arrighi
- Department of Neuroscience, Psychology, Pharmacology and Child Health, University of Florence, Viale Pieraccini 6, 50139, Florence, Italy.,Institute of Neuroscience, National Research Council (CNR), Pisa, Italy
| | - Georgia Forth
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, SE5 8AF, UK.,Centre for Research in Autism and Education, UCL, London, UK
| | - David Burr
- Department of Neuroscience, Psychology, Pharmacology and Child Health, University of Florence, Viale Pieraccini 6, 50139, Florence, Italy.,Institute of Neuroscience, National Research Council (CNR), Via Giuseppe Moruzzi 1, 56125, Pisa, Italy
| | - Elizabeth Pellicano
- Department of Educational Studies, Macquarie University, Building X5B, Wally's Walk, Sydney, NSW, 2109, Australia.,Centre for Research in Autism and Education, UCL, London, UK
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26
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The two-process theory of biological motion processing. Neurosci Biobehav Rev 2020; 111:114-124. [PMID: 31945392 DOI: 10.1016/j.neubiorev.2020.01.010] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2018] [Revised: 12/12/2019] [Accepted: 01/08/2020] [Indexed: 01/22/2023]
Abstract
Perception, identification, and understanding of others' actions from motion information are vital for our survival in the social world. A breakthrough in the understanding of action perception was the discovery that our visual system is sensitive to human action from the sparse motion input of only a dozen point lights, a phenomenon known as biological motion (BM) processing. Previous psychological and computational models cannot fully explain the emerging evidence for the existence of BM processing during early ontogeny. Here, we propose a two-process model of the mechanisms underlying BM processing. We hypothesize that the first system, the 'Step Detector,' rapidly processes the local foot motion and feet-below-the-body information that is specific to vertebrates, is less dependent on postnatal learning, and involves subcortical networks. The second system, the 'Bodily Action Evaluator,' slowly processes the fine global structure-from-motion, is specific to conspecific, and dependent on gradual learning processed in cortical networks. This proposed model provides new insight into research on the development of BM processing.
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27
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Gazestani VH, Pramparo T, Nalabolu S, Kellman BP, Murray S, Lopez L, Pierce K, Courchesne E, Lewis NE. A perturbed gene network containing PI3K-AKT, RAS-ERK and WNT-β-catenin pathways in leukocytes is linked to ASD genetics and symptom severity. Nat Neurosci 2019; 22:1624-1634. [PMID: 31551593 PMCID: PMC6764590 DOI: 10.1038/s41593-019-0489-x] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2018] [Accepted: 08/07/2019] [Indexed: 12/14/2022]
Abstract
Hundreds of genes are implicated in autism spectrum disorder (ASD) but the mechanisms through which they contribute to ASD pathophysiology remain elusive. Here, we analyzed leukocyte transcriptomics from 1–4 year-old male toddlers with ASD or typical development from the general population. We discovered a perturbed gene network that includes genes that are highly expressed during fetal brain development and which is dysregulated in hiPSC-derived neuron models of ASD. High-confidence ASD risk genes emerge as upstream regulators of the network, and many risk genes may impact the network by modulating RAS/ERK, PI3K/AKT, and WNT/β-catenin signaling pathways. We found that the degree of dysregulation in this network correlated with the severity of ASD symptoms in the toddlers. These results demonstrate how the heterogeneous genetics of ASD may dysregulate a core network to influence brain development at prenatal and very early postnatal ages and, thereby, the severity of later ASD symptoms.
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Affiliation(s)
- Vahid H Gazestani
- Autism Center of Excellence, Department of Neuroscience, University of California San Diego, La Jolla, CA, USA.,Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.,Novo Nordisk Foundation Center for Biosustainability, University of California San Diego, La Jolla, CA, USA
| | - Tiziano Pramparo
- Autism Center of Excellence, Department of Neuroscience, University of California San Diego, La Jolla, CA, USA
| | - Srinivasa Nalabolu
- Autism Center of Excellence, Department of Neuroscience, University of California San Diego, La Jolla, CA, USA
| | - Benjamin P Kellman
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.,Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, USA
| | - Sarah Murray
- Department of Pathology, University of California San Diego, La Jolla, CA, USA
| | - Linda Lopez
- Autism Center of Excellence, Department of Neuroscience, University of California San Diego, La Jolla, CA, USA
| | - Karen Pierce
- Autism Center of Excellence, Department of Neuroscience, University of California San Diego, La Jolla, CA, USA
| | - Eric Courchesne
- Autism Center of Excellence, Department of Neuroscience, University of California San Diego, La Jolla, CA, USA.
| | - Nathan E Lewis
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA. .,Novo Nordisk Foundation Center for Biosustainability, University of California San Diego, La Jolla, CA, USA. .,Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, USA. .,Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
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28
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Abstract
AbstractThe Beijing Twin Study (BeTwiSt), which was established in 2006, is an ongoing study aiming to investigate the genetic and environmental etiology of adolescent psychopathology. Resting-state brain imaging datasets have been examined for same-sex twins, and other psychological traits and emotional and behavioral variables have been examined for all twins. Based on the registry, the main findings regarding the etiological mechanism underlying adolescent development, magnetic resonance imaging results, and genetic and environmental influences on other psychological traits have been published. This article summarizes the key findings in these three areas and discusses future plans for the BeTwiSt.
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29
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Zhu Z, Chen B, Na R, Fang W, Zhang W, Zhou Q, Zhou S, Lei H, Huang A, Chen T, Ni D, Gu Y, Liu J, Rao Y, Fang F. Heritability of human visual contour integration-an integrated genomic study. Eur J Hum Genet 2019; 27:1867-1875. [PMID: 31363184 DOI: 10.1038/s41431-019-0478-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2019] [Revised: 06/11/2019] [Accepted: 07/16/2019] [Indexed: 11/09/2022] Open
Abstract
Contour integration, a key visual function to deal with occlusion and discontinuity in natural scenes, is essential to human survival. However, individuals are not equally well equipped with this ability. In particular, contour integration deficiencies are commonly detected in patients with mental disorders, especially schizophrenia. To understand the underlying sources of these individual differences, the current study investigated the genetic basis of contour integration in humans. A total of 2619 normal participants were tested on their ability to detect continuous contours embedded in a cluttered background. Quantitative genomic analysis was performed, involving heritability estimation based on single nucleotide polymorphisms (SNPs) and association testing at SNP, gene, and pathway levels. Heritability estimation showed that common SNPs contributed 49.5% (standard error of the mean = 15.6%) of overall phenotypic variation, indicating moderate heritability of contour integration. Two-stage genome-wide association analysis (GWAS) detected four SNPs reaching genome-wide significance in the discovery test (N = 1931) but not passing the replication test (N = 688). Gene-level analysis further revealed a significant genome-wide association of a microRNA-encoding gene MIR1178 in both the discovery and replication cohorts. Another gene poly(A)-binding protein nuclear 1 like, cytoplasmic (PABPN1L) showed suggestive significance in the discovery cohort (p < 1 × 10-4) and was replicated in the replication cohort (p = 0.009). The pathway analysis did not detect any significant pathway. Taken together, this study identified significant gene associations with contour integration and provided support for a genetic transmission of the ability to perceive continuous contours in the environment.
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Affiliation(s)
- Zijian Zhu
- PKU-IDG/McGovern Institute for Brain Research, and Peking-Tsinghua Center for Life Sciences, Peking University, 100871, Beijing, China
| | - Biqing Chen
- PKU-IDG/McGovern Institute for Brain Research, and Peking-Tsinghua Center for Life Sciences, Peking University, 100871, Beijing, China.,Central Laboratory, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, 210029, Nanjing, China
| | - Ren Na
- PKU-IDG/McGovern Institute for Brain Research, and Peking-Tsinghua Center for Life Sciences, Peking University, 100871, Beijing, China
| | - Wan Fang
- PKU-IDG/McGovern Institute for Brain Research, and Peking-Tsinghua Center for Life Sciences, Peking University, 100871, Beijing, China.,Beijing Innovative Center for Genomics, Peking University School of Life Sciences, and National Institute of Biological Sciences, 102206, Beijing, China
| | - Wenxia Zhang
- PKU-IDG/McGovern Institute for Brain Research, and Peking-Tsinghua Center for Life Sciences, Peking University, 100871, Beijing, China
| | - Qin Zhou
- College of Laboratory Medicine, Chongqing Medical University, 400016, Chongqing, China
| | - Shanbi Zhou
- University-Town Hospital of Chongqing Medical University, 401331, Chongqing, China
| | - Han Lei
- College of Laboratory Medicine, Chongqing Medical University, 400016, Chongqing, China
| | - Ailong Huang
- College of Laboratory Medicine, Chongqing Medical University, 400016, Chongqing, China
| | - Tingmei Chen
- College of Laboratory Medicine, Chongqing Medical University, 400016, Chongqing, China
| | - Dongsheng Ni
- Division of Molecular Nephrology and Creative Training Center for Undergraduates, M.O.E. Key Laboratory of Medical Diagnostics, College of Laboratory Medicine, Chongqing Medical University, 400016, Chongqing, China
| | - Yuping Gu
- Division of Molecular Nephrology and Creative Training Center for Undergraduates, M.O.E. Key Laboratory of Medical Diagnostics, College of Laboratory Medicine, Chongqing Medical University, 400016, Chongqing, China
| | - Jianing Liu
- Division of Molecular Nephrology and Creative Training Center for Undergraduates, M.O.E. Key Laboratory of Medical Diagnostics, College of Laboratory Medicine, Chongqing Medical University, 400016, Chongqing, China
| | - Yi Rao
- PKU-IDG/McGovern Institute for Brain Research, and Peking-Tsinghua Center for Life Sciences, Peking University, 100871, Beijing, China. .,Beijing Innovative Center for Genomics, Peking University School of Life Sciences, and National Institute of Biological Sciences, 102206, Beijing, China.
| | - Fang Fang
- PKU-IDG/McGovern Institute for Brain Research, and Peking-Tsinghua Center for Life Sciences, Peking University, 100871, Beijing, China. .,School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, 100871, Beijing, China.
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30
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Lee KS, Chang DHF. Biological motion perception is differentially predicted by Autistic trait domains. Sci Rep 2019; 9:11029. [PMID: 31363154 PMCID: PMC6667460 DOI: 10.1038/s41598-019-47377-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Accepted: 07/16/2019] [Indexed: 11/09/2022] Open
Abstract
We tested the relationship between biological motion perception and the Autism-Spectrum Quotient. In three experiments, we indexed observers' performance on a classic left-right discrimination task in which participants were asked to report the facing direction of walkers containing solely structural or kinematics information, a motion discrimination task in which participants were asked to indicate the apparent motion of a (non-biological) random-dot stimulus, and a novel naturalness discrimination task. In the naturalness discrimination task, we systematically manipulated the degree of natural acceleration contained in the stimulus by parametrically morphing between a fully veridical stimulus and one where acceleration was removed. Participants were asked to discriminate the more natural stimulus (i.e., acceleration-containing stimulus) from the constant velocity stimulus. Although we found no reliable associations between overall AQ scores nor subdomain scores with performance on the direction-related tasks, we found a robust association between performance on the biological motion naturalness task and attention switching domain scores. Our findings suggest that understanding the relationship between the Autism Spectrum and perception is a far more intricate problem than previously suggested. While it has been shown that the AQ can be used as a proxy to tap into perceptual endophenotypes in Autism, the eventual diagnostic value of the perceptual task depends on the task's consideration of biological content and demands.
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Affiliation(s)
- Ka Shu Lee
- Department of Psychology, The University of Hong Kong, Hong Kong, China
| | - Dorita H F Chang
- Department of Psychology, The University of Hong Kong, Hong Kong, China. .,State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China.
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31
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Larsch J, Baier H. Biological Motion as an Innate Perceptual Mechanism Driving Social Affiliation. Curr Biol 2018; 28:3523-3532.e4. [DOI: 10.1016/j.cub.2018.09.014] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2018] [Revised: 08/13/2018] [Accepted: 09/10/2018] [Indexed: 12/31/2022]
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32
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Stepping into the genetics of biological motion processing. Proc Natl Acad Sci U S A 2018; 115:1687-1689. [PMID: 29440436 DOI: 10.1073/pnas.1722625115] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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