1
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Yang B, Liu H, Jiang T, Yu S. Fluctuation in cortical excitation/inhibition modulates capability of attention across time scales ranging from hours to seconds. Cereb Cortex 2024; 34:bhae309. [PMID: 39076112 DOI: 10.1093/cercor/bhae309] [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: 05/13/2024] [Revised: 07/04/2024] [Accepted: 07/13/2024] [Indexed: 07/31/2024] Open
Abstract
Sustained attention, as the basis of general cognitive ability, naturally varies across different time scales, spanning from hours, e.g. from wakefulness to drowsiness state, to seconds, e.g. trial-by-trail fluctuation in a task session. Whether there is a unified mechanism underneath such trans-scale variability remains unclear. Here we show that fluctuation of cortical excitation/inhibition (E/I) is a strong modulator to sustained attention in humans across time scales. First, we observed the ability to attend varied across different brain states (wakefulness, postprandial somnolence, sleep deprived), as well as within any single state with larger swings. Second, regardless of the time scale involved, we found highly attentive state was always linked to more balanced cortical E/I characterized by electroencephalography (EEG) features, while deviations from the balanced state led to temporal decline in attention, suggesting the fluctuation of cortical E/I as a common mechanism underneath trans-scale attentional variability. Furthermore, we found the variations of both sustained attention and cortical E/I indices exhibited fractal structure in the temporal domain, exhibiting features of self-similarity. Taken together, these results demonstrate that sustained attention naturally varies across different time scales in a more complex way than previously appreciated, with the cortical E/I as a shared neurophysiological modulator.
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Affiliation(s)
- Binghao Yang
- Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, No. 95, Zhongguancun East Road, Haidian District, Beijing 100190, China
- School of Future Technology, University of Chinese Academy of Sciences, No. 19, Yuquan Road, Shijingshan District, Beijing 100049, China
- Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Chinese Academy of Sciences, No. 230, Yueyang Road, Shanghai 200031, China
| | - Hao Liu
- Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, No. 95, Zhongguancun East Road, Haidian District, Beijing 100190, China
- Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Chinese Academy of Sciences, No. 230, Yueyang Road, Shanghai 200031, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, No. 19, Yuquan Road, Shijingshan District, Beijing 100049, China
| | - Tianzi Jiang
- Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, No. 95, Zhongguancun East Road, Haidian District, Beijing 100190, China
- Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Chinese Academy of Sciences, No. 230, Yueyang Road, Shanghai 200031, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, No. 19, Yuquan Road, Shijingshan District, Beijing 100049, China
- Xiaoxiang Institute for Brain Health and Yongzhou Central Hospital, No. 151, Xiaoshui West Road, Lingling District, Yongzhou 425000, Hunan Province, China
| | - Shan Yu
- Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, No. 95, Zhongguancun East Road, Haidian District, Beijing 100190, China
- School of Future Technology, University of Chinese Academy of Sciences, No. 19, Yuquan Road, Shijingshan District, Beijing 100049, China
- Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Chinese Academy of Sciences, No. 230, Yueyang Road, Shanghai 200031, China
- Lead contact. Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, No. 95, Zhongguancun East Road, Haidian District, Beijing 100190, China
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2
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Milne GA, Lisi M, McLean A, Zheng R, Groen II, Dekker TM. Perceptual reorganization from prior knowledge emerges late in childhood. iScience 2024; 27:108787. [PMID: 38303715 PMCID: PMC10831247 DOI: 10.1016/j.isci.2024.108787] [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: 04/06/2023] [Revised: 09/05/2023] [Accepted: 01/02/2024] [Indexed: 02/03/2024] Open
Abstract
Human vision relies heavily on prior knowledge. Here, we show for the first time that prior-knowledge-induced reshaping of visual inputs emerges gradually in late childhood. To isolate the effects of prior knowledge on perception, we presented 4- to 12-year-olds and adults with two-tone images - hard-to-recognize degraded photos. In adults, seeing the original photo triggers perceptual reorganization, causing mandatory recognition of the two-tone version. This involves top-down signaling from higher-order brain areas to early visual cortex. We show that children younger than 7-9 years do not experience this knowledge-guided shift, despite viewing the original photo immediately before each two-tone. To assess computations underlying this development, we compared human performance to three neural networks with varying architectures. The best-performing model behaved much like 4- to 5-year-olds, displaying feature-based rather than holistic processing strategies. The reconciliation of prior knowledge with sensory input undergoes a striking age-related shift, which may underpin the development of many perceptual abilities.
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Affiliation(s)
- Georgia A. Milne
- Institute of Ophthalmology, University College London, EC1V 9EL London, UK
- Division of Psychology and Language Sciences, University College London, WC1H 0AP London, UK
| | - Matteo Lisi
- Department of Psychology, Royal Holloway, University of London, TW20 0EX London, UK
| | - Aisha McLean
- Institute of Ophthalmology, University College London, EC1V 9EL London, UK
| | - Rosie Zheng
- Informatics Institute, University of Amsterdam, 1098 XH Amsterdam, the Netherlands
| | - Iris I.A. Groen
- Informatics Institute, University of Amsterdam, 1098 XH Amsterdam, the Netherlands
| | - Tessa M. Dekker
- Institute of Ophthalmology, University College London, EC1V 9EL London, UK
- Division of Psychology and Language Sciences, University College London, WC1H 0AP London, UK
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3
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Manippa V, Palmisano A, Ventura M, Rivolta D. The Neural Correlates of Developmental Prosopagnosia: Twenty-Five Years on. Brain Sci 2023; 13:1399. [PMID: 37891769 PMCID: PMC10605188 DOI: 10.3390/brainsci13101399] [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: 08/08/2023] [Revised: 09/21/2023] [Accepted: 09/29/2023] [Indexed: 10/29/2023] Open
Abstract
Faces play a crucial role in social interactions. Developmental prosopagnosia (DP) refers to the lifelong difficulty in recognizing faces despite the absence of obvious signs of brain lesions. In recent decades, the neural substrate of this condition has been extensively investigated. While early neuroimaging studies did not reveal significant functional and structural abnormalities in the brains of individuals with developmental prosopagnosia (DPs), recent evidence identifies abnormalities at multiple levels within DPs' face-processing networks. The current work aims to provide an overview of the convergent and contrasting findings by examining twenty-five years of neuroimaging literature on the anatomo-functional correlates of DP. We included 55 original papers, including 63 studies that compared the brain structure (MRI) and activity (fMRI, EEG, MEG) of healthy control participants and DPs. Despite variations in methods, procedures, outcomes, sample selection, and study design, this scoping review suggests that morphological, functional, and electrophysiological features characterize DPs' brains, primarily within the ventral visual stream. Particularly, the functional and anatomical connectivity between the Fusiform Face Area and the other face-sensitive regions seems strongly impaired. The cognitive and clinical implications as well as the limitations of these findings are discussed in light of the available knowledge and challenges in the context of DP.
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Affiliation(s)
- Valerio Manippa
- Department of Education, Psychology and Communication, University of Bari Aldo Moro, 70122 Bari, Italy; (V.M.); (A.P.); (M.V.)
| | - Annalisa Palmisano
- Department of Education, Psychology and Communication, University of Bari Aldo Moro, 70122 Bari, Italy; (V.M.); (A.P.); (M.V.)
- Chair of Lifespan Developmental Neuroscience, TUD Dresden University of Technology, 01069 Dresden, Germany
| | - Martina Ventura
- Department of Education, Psychology and Communication, University of Bari Aldo Moro, 70122 Bari, Italy; (V.M.); (A.P.); (M.V.)
- The MARCS Institute for Brain, Behaviour, and Development, Western Sydney University, Sydney 2145, Australia
| | - Davide Rivolta
- Department of Education, Psychology and Communication, University of Bari Aldo Moro, 70122 Bari, Italy; (V.M.); (A.P.); (M.V.)
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4
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Zhu J, Zikopoulos B, Yazdanbakhsh A. A neural model of modified excitation/inhibition and feedback levels in schizophrenia. Front Psychiatry 2023; 14:1199690. [PMID: 37900297 PMCID: PMC10600455 DOI: 10.3389/fpsyt.2023.1199690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 07/20/2023] [Indexed: 10/31/2023] Open
Abstract
Introduction The strength of certain visual illusions, including contrast-contrast and apparent motion, is weakened in individuals with schizophrenia. Such phenomena have been interpreted as the impaired integration of inhibitory and excitatory neural responses, and impaired top-down feedback mechanisms. Methods To investigate whether and how these factors influence the perceived contrast-contrast and apparent motion illusions in individuals with schizophrenia, we propose a two-layer network, with top-down feedback from layer 2 to layer 1 that can model visual receptive fields (RFs) and their inhibitory and excitatory subfields. Results Our neural model suggests that illusion perception changes in individuals with schizophrenia can be influenced by altered top-down mechanisms and the organization of the on-center off-surround receptive fields. Alteration of the RF inhibitory surround and/or the excitatory center can replicate the difference of illusion precepts between individuals with schizophrenia within certain clinical states and normal controls. The results show that the simulated top-down feedback modulation enlarges the difference of the model illusion representations, replicating the difference between the two groups. Discussion We propose that the heterogeneity of visual and in general sensory processing in certain clinical states of schizophrenia can be largely explained by the degree of top-down feedback reduction, emphasizing the critical role of top-down feedback in illusion perception, and to a lesser extent on the imbalance of excitation/inhibition. Our neural model provides a mechanistic explanation for the modulated visual percepts of contrast-contrast and apparent motion in schizophrenia with findings that can explain a broad range of visual perceptual observations in previous studies. The two-layer motif of the current model provides a general framework that can be tailored to investigate subcortico-cortical (such as thalamocortical) and cortico-cortical networks, bridging neurobiological changes in schizophrenia and perceptual processing.
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Affiliation(s)
- Jiating Zhu
- Program in Brain, Behavior & Cognition, Department of Psychological and Brain Sciences, Boston University, Boston, MA, United States
| | - Basilis Zikopoulos
- Human Systems Neuroscience Laboratory, Department of Health Sciences, Boston University, Boston, MA, United States
- Department of Anatomy & Neurobiology, Boston University School of Medicine, Boston, MA, United States
- Center for Systems Neuroscience, Boston University, Boston, MA, United States
- Graduate Program for Neuroscience, Boston University, Boston, MA, United States
| | - Arash Yazdanbakhsh
- Center for Systems Neuroscience, Boston University, Boston, MA, United States
- Graduate Program for Neuroscience, Boston University, Boston, MA, United States
- Computational Neuroscience and Vision Laboratory, Department of Psychological and Brain Sciences, Boston University, Boston, MA, United States
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5
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Borra D, Bossi F, Rivolta D, Magosso E. Deep learning applied to EEG source-data reveals both ventral and dorsal visual stream involvement in holistic processing of social stimuli. Sci Rep 2023; 13:7365. [PMID: 37147445 PMCID: PMC10162973 DOI: 10.1038/s41598-023-34487-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 05/02/2023] [Indexed: 05/07/2023] Open
Abstract
Perception of social stimuli (faces and bodies) relies on "holistic" (i.e., global) mechanisms, as supported by picture-plane inversion: perceiving inverted faces/bodies is harder than perceiving their upright counterpart. Albeit neuroimaging evidence suggested involvement of face-specific brain areas in holistic processing, their spatiotemporal dynamics and selectivity for social stimuli is still debated. Here, we investigate the spatiotemporal dynamics of holistic processing for faces, bodies and houses (adopted as control non-social category), by applying deep learning to high-density electroencephalographic signals (EEG) at source-level. Convolutional neural networks were trained to classify cortical EEG responses to stimulus orientation (upright/inverted), separately for each stimulus type (faces, bodies, houses), resulting to perform well above chance for faces and bodies, and close to chance for houses. By explaining network decision, the 150-200 ms time interval and few visual ventral-stream regions were identified as mostly relevant for discriminating face and body orientation (lateral occipital cortex, and for face only, precuneus cortex, fusiform and lingual gyri), together with two additional dorsal-stream areas (superior and inferior parietal cortices). Overall, the proposed approach is sensitive in detecting cortical activity underlying perceptual phenomena, and by maximally exploiting discriminant information contained in data, may reveal spatiotemporal features previously undisclosed, stimulating novel investigations.
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Affiliation(s)
- Davide Borra
- Department of Electrical, Electronic and Information Engineering "Guglielmo Marconi" (DEI), University of Bologna, Cesena Campus, Cesena, Italy
| | - Francesco Bossi
- MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - Davide Rivolta
- Department of Education, Psychology, and Communication, University of Bari Aldo Moro, Bari, Italy
| | - Elisa Magosso
- Department of Electrical, Electronic and Information Engineering "Guglielmo Marconi" (DEI), University of Bologna, Cesena Campus, Cesena, Italy.
- Alma Mater Research Institute for Human-Centered Artificial Intelligence, University of Bologna, Bologna, Italy.
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6
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Schallmo MP, Weldon KB, Kamath RS, Moser HR, Montoya SA, Killebrew KW, Demro C, Grant AN, Marjańska M, Sponheim SR, Olman CA. The Psychosis Human Connectome Project: Design and rationale for studies of visual neurophysiology. Neuroimage 2023; 272:120060. [PMID: 36997137 PMCID: PMC10153004 DOI: 10.1016/j.neuroimage.2023.120060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 03/22/2023] [Accepted: 03/27/2023] [Indexed: 04/01/2023] Open
Abstract
Visual perception is abnormal in psychotic disorders such as schizophrenia. In addition to hallucinations, laboratory tests show differences in fundamental visual processes including contrast sensitivity, center-surround interactions, and perceptual organization. A number of hypotheses have been proposed to explain visual dysfunction in psychotic disorders, including an imbalance between excitation and inhibition. However, the precise neural basis of abnormal visual perception in people with psychotic psychopathology (PwPP) remains unknown. Here, we describe the behavioral and 7 tesla MRI methods we used to interrogate visual neurophysiology in PwPP as part of the Psychosis Human Connectome Project (HCP). In addition to PwPP (n = 66) and healthy controls (n = 43), we also recruited first-degree biological relatives (n = 44) in order to examine the role of genetic liability for psychosis in visual perception. Our visual tasks were designed to assess fundamental visual processes in PwPP, whereas MR spectroscopy enabled us to examine neurochemistry, including excitatory and inhibitory markers. We show that it is feasible to collect high-quality data across multiple psychophysical, functional MRI, and MR spectroscopy experiments with a sizable number of participants at a single research site. These data, in addition to those from our previously described 3 tesla experiments, will be made publicly available in order to facilitate further investigations by other research groups. By combining visual neuroscience techniques and HCP brain imaging methods, our experiments offer new opportunities to investigate the neural basis of abnormal visual perception in PwPP.
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Affiliation(s)
- Michael-Paul Schallmo
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN.
| | - Kimberly B Weldon
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN; Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN
| | - Rohit S Kamath
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN
| | - Hannah R Moser
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN
| | - Samantha A Montoya
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN
| | - Kyle W Killebrew
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN
| | - Caroline Demro
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN; Department of Psychology, University of Minnesota, Minneapolis, MN
| | - Andrea N Grant
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN
| | - Małgorzata Marjańska
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN
| | - Scott R Sponheim
- Veterans Affairs Medical Center, Minneapolis, MN; Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN
| | - Cheryl A Olman
- Department of Psychology, University of Minnesota, Minneapolis, MN; Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN
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7
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Palmisano A, Chiarantoni G, Bossi F, Conti A, D'Elia V, Tagliente S, Nitsche MA, Rivolta D. Face pareidolia is enhanced by 40 Hz transcranial alternating current stimulation (tACS) of the face perception network. Sci Rep 2023; 13:2035. [PMID: 36739325 PMCID: PMC9899232 DOI: 10.1038/s41598-023-29124-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 01/31/2023] [Indexed: 02/05/2023] Open
Abstract
Pareidolia refers to the perception of ambiguous sensory patterns as carrying a specific meaning. In its most common form, pareidolia involves human-like facial features, where random objects or patterns are illusionary recognized as faces. The current study investigated the neurophysiological correlates of face pareidolia via transcranial alternating current stimulation (tACS). tACS was delivered at gamma (40 Hz) frequency over critical nodes of the "face perception" network (i.e., right lateral occipito-temporal and left prefrontal cortex) of 75 healthy participants while completing four face perception tasks ('Mooney test' for faces, 'Toast test', 'Noise pareidolia test', 'Pareidolia task') and an object perception task ('Mooney test' for objects). In this single-blind, sham-controlled between-subjects study, participants received 35 min of either Sham, Online, (40Hz-tACS_ON), or Offline (40Hz-tACS_PRE) stimulation. Results showed that face pareidolia was causally enhanced by 40Hz-tACS_PRE in the Mooney test for faces in which, as compared to sham, participants more often misperceived scrambled stimuli as faces. In addition, as compared to sham, participants receiving 40Hz-tACS_PRE showed similar reaction times (RTs) when perceiving illusory faces and correctly recognizing noise stimuli in the Toast test, thus not exhibiting hesitancy in identifying faces where there were none. Also, 40Hz-tACS_ON induced slower rejections of face pareidolia responses in the Noise pareidolia test. The current study indicates that 40 Hz tACS can enhance pareidolic illusions in healthy individuals and, thus, that high frequency (i.e., gamma band) oscillations are critical in forming coherent and meaningful visual perception.
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Affiliation(s)
- Annalisa Palmisano
- Department of Education, Psychology, and Communication, University of Bari Aldo Moro, Bari, Italy.
| | - Giulio Chiarantoni
- Department of Education, Psychology, and Communication, University of Bari Aldo Moro, Bari, Italy
| | | | - Alessio Conti
- Department of Education, Psychology, and Communication, University of Bari Aldo Moro, Bari, Italy
| | - Vitiana D'Elia
- Department of Education, Psychology, and Communication, University of Bari Aldo Moro, Bari, Italy
| | - Serena Tagliente
- Department of Education, Psychology, and Communication, University of Bari Aldo Moro, Bari, Italy
| | - Michael A Nitsche
- Department of Psychology and Neurosciences, Leibniz Research Center for Working Environment and Human Factors (IfADo), Dortmund, Germany.,Department of Neurology, University Medical Hospital Bergmannsheil, Bochum, Germany
| | - Davide Rivolta
- Department of Education, Psychology, and Communication, University of Bari Aldo Moro, Bari, Italy.,School of Psychology, University of East London (UEL), London, UK
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8
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Ronconi L, Florio V, Bronzoni S, Salvetti B, Raponi A, Giupponi G, Conca A, Basso D. Wider and Stronger Inhibitory Ring of the Attentional Focus in Schizophrenia. Brain Sci 2023; 13:brainsci13020211. [PMID: 36831754 PMCID: PMC9954763 DOI: 10.3390/brainsci13020211] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 01/17/2023] [Accepted: 01/24/2023] [Indexed: 01/31/2023] Open
Abstract
Anomalies of attentional selection have been repeatedly described in individuals with schizophrenia spectrum disorders. However, a precise analysis of their ability to inhibit irrelevant visual information during attentional selection is not documented. Recent behavioral as well as neurophysiological and computational evidence showed that attentional search among different competing stimuli elicits an area of suppression in the immediate surrounding of the attentional focus. In the present study, the strength and spatial extension of this surround suppression were tested in individuals with schizophrenia and neurotypical controls. Participants were asked to report the orientation of a visual "pop-out" target, which appeared in different positions within a peripheral array of non-target stimuli. In half of the trials, after the target appeared, a probe circle circumscribed a non-target stimulus at various target-to-probe distances; in this case, participants were asked to report the probe orientation instead. Results suggest that, as compared to neurotypical controls, individuals with schizophrenia showed stronger and spatially more extended filtering of visual information in the areas surrounding their attentional focus. This increased filtering of visual information outside the focus of attention might potentially hamper their ability to integrate different elements into coherent percepts and influence higher order behavioral, affective, and cognitive domains.
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Affiliation(s)
- Luca Ronconi
- School of Psychology, Vita-Salute San Raffaele University, 20132 Milan, Italy
- Division of Neuroscience, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy
- Correspondence:
| | - Vincenzo Florio
- Psychiatric Service of the Health District of Bozen, 39100 Bozen, Italy
| | - Silvia Bronzoni
- Psychiatric Service of the Health District of Bozen, 39100 Bozen, Italy
| | - Beatrice Salvetti
- Psychiatric Service of the Health District of Bozen, 39100 Bozen, Italy
| | - Agnese Raponi
- Psychiatric Service of the Health District of Bozen, 39100 Bozen, Italy
| | | | - Andreas Conca
- Psychiatric Service of the Health District of Bozen, 39100 Bozen, Italy
| | - Demis Basso
- CESLab, Faculty of Education, Free University of Bozen, 39042 Brixen, Italy
- Centro de Investigación en Neuropsicologia y Neurociencias Cognitivas (CINPSI Neurocog), Universidad Católica del Maule, Av. San Miguel, Talca 3480094, Chile
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9
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Saiz-Masvidal C, Contreras F, Soriano-Mas C, Mezquida G, Díaz-Caneja CM, Vieta E, Amoretti S, Lobo A, González-Pinto A, Janssen J, Sagué-Vilavella M, Castro-Fornieles J, Bergé D, Bioque M, Lois NG, Parellada M, Bernardo M. Structural covariance predictors of clinical improvement at 2-year follow-up in first-episode psychosis. Prog Neuropsychopharmacol Biol Psychiatry 2023; 120:110645. [PMID: 36181960 DOI: 10.1016/j.pnpbp.2022.110645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 09/07/2022] [Accepted: 09/22/2022] [Indexed: 11/30/2022]
Abstract
The relationship between structural brain alterations and prediction of clinical improvement in first-episode psychosis (FEP) has been scarcely studied. We investigated whether structural covariance, a well-established approach to identify abnormal patterns of volumetric correlation across distant brain regions, which allows incorporating network-level information to structural assessments, is associated with longitudinal clinical course. We assessed a sample of 74 individuals from a multicenter study. Magnetic resonance imaging scans were acquired at baseline, and clinical assessments at baseline and at a 2-year follow-up. Participants were split in two groups as a function of their clinical improvement after 2 years (i.e., ≥ < 40% reduction in psychotic symptom severity, (n = 29, n = 45)). We performed a seed-based approach and focused our analyses on 3 cortical and 4 subcortical regions of interest to identify alterations in cortical and cortico-subcortical networks. Improvers presented an increased correlation between the volumes of the right posterior cingulate cortex (PCC) and the left precentral gyrus, and between the left PCC and the left middle occipital gyrus. They also showed an increased correlation between right posterior hippocampus and left angular gyrus volumes. Our study provides a novel mean to identify structural correlates of clinical improvement in FEP, describing clinically-relevant anatomical differences in terms of large-scale brain networks, which is better aligned with prevailing neurobiological models of psychosis. The results involve brain regions considered to participate in the multisensory processing of bodily signals and the construction of bodily self-consciousness, which resonates with recent theoretical accounts in psychosis research.
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Affiliation(s)
- Cristina Saiz-Masvidal
- Department of Psychiatry, Bellvitge University Hospital, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain; Department of Clinical Sciences, School of Medicine, University of Barcelona, Spain
| | - Fernando Contreras
- Department of Psychiatry, Bellvitge University Hospital, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Madrid, Spain
| | - Carles Soriano-Mas
- Department of Psychiatry, Bellvitge University Hospital, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Madrid, Spain; Department of Social Psychology and Quantitative Psychology, University of Barcelona, Spain.
| | - Gisela Mezquida
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Madrid, Spain; Barcelona Clínic Schizophrenia Unit (BCSU), Neuroscience Institute, Hospital Clínic de Barcelona, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Department of Clinical Foundations, Pharmacology Unit, University of Barcelona, Barcelona, Spain
| | - Covadonga M Díaz-Caneja
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Madrid, Spain; Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón and School of Medicine, Universidad Complutense de Madrid, Madrid, Spain
| | - Eduard Vieta
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Madrid, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Bipolar and Depressive Disorders Unit, Clinical Institute of Neurosciences, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Silvia Amoretti
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Madrid, Spain; Barcelona Clínic Schizophrenia Unit (BCSU), Neuroscience Institute, Hospital Clínic de Barcelona, Barcelona, Spain; Bipolar and Depressive Disorders Unit, Clinical Institute of Neurosciences, Hospital Clinic, University of Barcelona, Barcelona, Spain; Group of Psychiatry, Mental Health and Addictions, Psychiatric Genetics Unit, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain
| | - Antonio Lobo
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Madrid, Spain; Department of Medicine and Psychiatry, Universidad de Zaragoza, Zaragoza, Spain; Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain
| | - Ana González-Pinto
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Madrid, Spain; Instituto de Investigación Sanitaria Bioaraba (BIOARABA), Vitoria, Spain; Department of Psychiatry, Hospital Universitario de Alava, Vitoria, Spain; Universidad del País Vasco/ Euskal Harriko Unibertsitatea (UPV/EHU), País Vasco, Spain
| | - Joost Janssen
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Madrid, Spain; Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón and School of Medicine, Universidad Complutense de Madrid, Madrid, Spain
| | - Maria Sagué-Vilavella
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Madrid, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Bipolar and Depressive Disorders Unit, Clinical Institute of Neurosciences, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Josefina Castro-Fornieles
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Madrid, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Department of Child and Adolescent Psychiatry and Psychology, 2017SGR881, Institut Clínic de Neurociències, Hospital Clínic Universitari, Barcelona, Spain; Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Daniel Bergé
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Madrid, Spain; Institute of Neuropsychiatry and Addiction of the Barcelona MAR Health Park, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain; Department of Medicine and Life Sciences, Pompeu Fabra University (UPF), Barcelona, Spain
| | - Miquel Bioque
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Madrid, Spain; Barcelona Clínic Schizophrenia Unit (BCSU), Neuroscience Institute, Hospital Clínic de Barcelona, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Noemi G Lois
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Madrid, Spain; Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón and School of Medicine, Universidad Complutense de Madrid, Madrid, Spain
| | - Mara Parellada
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Madrid, Spain; Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón and School of Medicine, Universidad Complutense de Madrid, Madrid, Spain
| | - Miguel Bernardo
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Madrid, Spain; Barcelona Clínic Schizophrenia Unit (BCSU), Neuroscience Institute, Hospital Clínic de Barcelona, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Department of Clinical Foundations, Pharmacology Unit, University of Barcelona, Barcelona, Spain
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10
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Giersch A, Laprévote V. Perceptual Functioning. Curr Top Behav Neurosci 2023; 63:79-113. [PMID: 36306053 DOI: 10.1007/7854_2022_393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Perceptual disorders are not part of the diagnosis criteria for schizophrenia. Yet, a considerable amount of work has been conducted, especially on visual perception abnormalities, and there is little doubt that visual perception is altered in patients. There are several reasons why such perturbations are of interest in this pathology. They are observed during the prodromal phase of psychosis, they are related to the pathophysiology (clinical disorganization, disorders of the sense of self), and they are associated with neuronal connectivity disorders. Perturbations occur at different levels of processing and likely affect how patients interact and adapt to their surroundings. The literature has become very large, and here we try to summarize different models that have guided the exploration of perception in patients. We also illustrate several lines of research by showing how perception has been investigated and by discussing the interpretation of the results. In addition to discussing domains such as contrast sensitivity, masking, and visual grouping, we develop more recent fields like processing at the level of the retina, and the timing of perception.
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Affiliation(s)
- Anne Giersch
- University of Strasbourg, INSERM U1114, Centre Hospitalier Régional Universitaire de Strasbourg, Strasbourg, France.
| | - Vincent Laprévote
- University of Strasbourg, INSERM U1114, Centre Hospitalier Régional Universitaire de Strasbourg, Strasbourg, France
- CLIP Centre de Liaison et d'Intervention Précoce, Centre Psychothérapique de Nancy, Laxou, France
- Faculté de Médecine, Université de Lorraine, Vandoeuvre-lès-Nancy, France
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11
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Hirano Y, Uhlhaas PJ. Current findings and perspectives on aberrant neural oscillations in schizophrenia. Psychiatry Clin Neurosci 2021; 75:358-368. [PMID: 34558155 DOI: 10.1111/pcn.13300] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 08/20/2021] [Accepted: 09/09/2021] [Indexed: 12/11/2022]
Abstract
There is now consistent evidence that neural oscillation at low- and high-frequencies constitute an important aspect of the pathophysiology of schizophrenia. Specifically, impaired rhythmic activity may underlie the deficit to generate coherent cognition and behavior, leading to the characteristic symptoms of psychosis and cognitive deficits. Importantly, the generating mechanisms of neural oscillations are relatively well-understood and thus enable the targeted search for the underlying circuit impairments and novel treatment targets. In the following review, we will summarize and assess the evidence for aberrant rhythmic activity in schizophrenia through evaluating studies that have utilized Electro/Magnetoencephalography to examine neural oscillations during sensory and cognitive tasks as well as during resting-state measurements. These data will be linked to current evidence from post-mortem, neuroimaging, genetics, and animal models that have implicated deficits in GABAergic interneurons and glutamatergic neurotransmission in oscillatory deficits in schizophrenia. Finally, we will highlight methodological and analytical challenges as well as provide recommendations for future research.
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Affiliation(s)
- Yoji Hirano
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Institute of Industrial Science, The University of Tokyo, Tokyo, Japan
| | - Peter J Uhlhaas
- Department of Child and Adolescent Psychiatry, Charité - Universitätsmedizin, Berlin, Germany
- Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK
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12
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Genetic risk for schizophrenia is associated with altered visually-induced gamma band activity: evidence from a population sample stratified polygenic risk. Transl Psychiatry 2021; 11:592. [PMID: 34785639 PMCID: PMC8595678 DOI: 10.1038/s41398-021-01678-z] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 09/29/2021] [Accepted: 10/05/2021] [Indexed: 12/12/2022] Open
Abstract
Gamma oscillations (30-90 Hz) have been proposed as a signature of cortical visual information processing, particularly the balance between excitation and inhibition, and as a biomarker of neuropsychiatric diseases. Magnetoencephalography (MEG) provides highly reliable visual-induced gamma oscillation estimates, both at sensor and source level. Recent studies have reported a deficit of visual gamma activity in schizophrenia patients, in medication naive subjects, and high-risk clinical participants, but the genetic contribution to such a deficit has remained unresolved. Here, for the first time, we use a genetic risk score approach to assess the relationship between genetic risk for schizophrenia and visual gamma activity in a population-based sample drawn from a birth cohort. We compared visual gamma activity in a group (N = 104) with a high genetic risk profile score for schizophrenia (SCZ-PRS) to a group with low SCZ-PRS (N = 99). Source-reconstructed V1 activity was extracted using beamformer analysis applied to MEG recordings using individual MRI scans. No group differences were found in the induced gamma peak amplitude or peak frequency. However, a non-parametric statistical contrast of the response spectrum revealed more robust group differences in the amplitude of high-beta/gamma power across the frequency range, suggesting that overall spectral shape carries important biological information beyond the individual frequency peak. Our findings show that changes in gamma band activity correlate with liability to schizophrenia and suggest that the index changes to synaptic function and neuronal firing patterns that are of pathophysiological relevance rather than consequences of the disorder.
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13
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Mittal VA, Ellman LM, Strauss GP, Walker EF, Corlett PR, Schiffman J, Woods SW, Powers AR, Silverstein SM, Waltz JA, Zinbarg R, Chen S, Williams T, Kenney J, Gold JM. Computerized Assessment of Psychosis Risk. JOURNAL OF PSYCHIATRY AND BRAIN SCIENCE 2021; 6:e210011. [PMID: 34307899 PMCID: PMC8302046 DOI: 10.20900/jpbs.20210011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Early detection and intervention with young people at clinical high risk (CHR) for psychosis is critical for prevention efforts focused on altering the trajectory of psychosis. Early CHR research largely focused on validating clinical interviews for detecting at-risk individuals; however, this approach has limitations related to: (1) specificity (i.e., only 20% of CHR individuals convert to psychosis) and (2) the expertise and training needed to administer these interviews is limited. The purpose of our study is to develop the computerized assessment of psychosis risk (CAPR) battery, consisting of behavioral tasks that require minimal training to administer, can be administered online, and are tied to the neurobiological systems and computational mechanisms implicated in psychosis. The aims of our study are as follows: (1A) to develop a psychosis-risk calculator through the application of machine learning (ML) methods to the measures from the CAPR battery, (1B) evaluate group differences on the risk calculator score and test the hypothesis that the risk calculator score of the CHR group will differ from help-seeking and healthy controls, (1C) evaluate how baseline CAPR battery performance relates to symptomatic outcome two years later (i.e., conversion and symptomatic worsening). These aims will be explored in 500 CHR participants, 500 help-seeking individuals, and 500 healthy controls across the study sites. This project will provide a next-generation CHR battery, tied to illness mechanisms and powered by cutting-edge computational methods that can be used to facilitate the earliest possible detection of psychosis risk.
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Affiliation(s)
- Vijay A. Mittal
- Institutes for Policy Research (IPR) and Innovations in Developmental Sciences (DevSci), Departments of Psychology, Psychiatry, Medical Social Sciences, Northwestern University, Evanston, IL 60208, USA
| | - Lauren M. Ellman
- Department of Psychology, Temple University, Philadelphia, PA 19122, USA
| | - Gregory P. Strauss
- Departments of Psychology and Neuroscience, University of Georgia, Athens, GA 30602, USA
| | - Elaine F. Walker
- Department of Psychology and Program in Neuroscience, Emory University, Atlanta, GA 30322, USA
| | | | - Jason Schiffman
- Department of Psychological Science, 4201 Social and Behavioral Sciences Gateway, University of California, Irvine, CA 92697, USA
| | - Scott W. Woods
- Department of Psychiatry, Yale University, New Haven, CT 06519, USA
| | - Albert R. Powers
- Department of Psychiatry, Yale University, New Haven, CT 06519, USA
| | - Steven M. Silverstein
- Center for Visual Science, Departments of Psychiatry, Neuroscience and Ophthalmology, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - James A. Waltz
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228, USA
| | - Richard Zinbarg
- Department of Psychology, Northwestern University, Evanston, IL 60208, USA
- The Family Institute at Northwestern University, Evanston, IL 60208, USA
| | - Shuo Chen
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228, USA
| | - Trevor Williams
- Department of Psychology, Northwestern University, Evanston, IL 60208, USA
| | - Joshua Kenney
- Department of Psychiatry, Yale University, New Haven, CT 06519, USA
| | - James M. Gold
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228, USA
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14
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Bianciardi B, Uhlhaas PJ. Do NMDA-R antagonists re-create patterns of spontaneous gamma-band activity in schizophrenia? A systematic review and perspective. Neurosci Biobehav Rev 2021; 124:308-323. [PMID: 33581223 DOI: 10.1016/j.neubiorev.2021.02.005] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 01/29/2021] [Accepted: 02/03/2021] [Indexed: 12/13/2022]
Abstract
NMDA-R hypofunctioninig is a core pathophysiological mechanism in schizophrenia. However, it is unclear whether the physiological changes observed following NMDA-R antagonist administration are consistent with gamma-band alterations in schizophrenia. This systematic review examined the effects of NMDA-R antagonists on the amplitude of spontaneous gamma-band activity and functional connectivity obtained from preclinical (n = 24) and human (n = 9) studies and compared these data to resting-state EEG/MEG-measurements in schizophrenia patients (n = 27). Overall, the majority of preclinical and human studies observed increased gamma-band power following acute administration of NMDA-R antagonists. However, the direction of gamma-band power alterations in schizophrenia were inconsistent, which involved upregulation (n = 10), decreases (n = 7), and no changes (n = 8) in spectral power. Five out of 6 preclinical studies observed increased connectivity, while in healthy controls receiving Ketamine and in schizophrenia patients the direction of connectivity results was also inconsistent. Accordingly, the effects of NMDA-R hypofunctioning on gamma-band oscillations are different than pathophysiological signatures observed in schizophrenia. The implications of these findings for current E/I balance models of schizophrenia are discussed.
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Affiliation(s)
- Bianca Bianciardi
- Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK
| | - Peter J Uhlhaas
- Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK; Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany.
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15
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Manduca JD, Thériault RK, Perreault ML. Glycogen synthase kinase-3: The missing link to aberrant circuit function in disorders of cognitive dysfunction? Pharmacol Res 2020; 157:104819. [PMID: 32305493 DOI: 10.1016/j.phrs.2020.104819] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Revised: 02/10/2020] [Accepted: 04/07/2020] [Indexed: 12/15/2022]
Abstract
Elevated GSK-3 activity has been implicated in cognitive dysfunction associated with various disorders including Alzheimer's disease, schizophrenia, type 2 diabetes, traumatic brain injury, major depressive disorder and bipolar disorder. Further, aberrant neural oscillatory activity in, and between, cortical regions and the hippocampus is consistently present within these same cognitive disorders. In this review, we will put forth the idea that increased GSK-3 activity serves as a pathological convergence point across cognitive disorders, inducing similar consequent impacts on downstream signaling mechanisms implicated in the maintenance of processes critical to brain systems communication and normal cognitive functioning. In this regard we suggest that increased activation of GSK-3 and neuronal oscillatory dysfunction are early pathological changes that may be functionally linked. Mechanistic commonalities between these disorders of cognitive dysfunction will be discussed and potential downstream targets of GSK-3 that may contribute to neuronal oscillatory dysfunction identified.
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Affiliation(s)
- Joshua D Manduca
- Department of Molecular and Cellular Biology, University of Guelph, ON, Canada
| | | | - Melissa L Perreault
- Department of Molecular and Cellular Biology, University of Guelph, ON, Canada.
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16
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Bossi F, Premoli I, Pizzamiglio S, Balaban S, Ricciardelli P, Rivolta D. Theta- and Gamma-Band Activity Discriminates Face, Body and Object Perception. Front Hum Neurosci 2020; 14:74. [PMID: 32226369 PMCID: PMC7080986 DOI: 10.3389/fnhum.2020.00074] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Accepted: 02/20/2020] [Indexed: 12/12/2022] Open
Abstract
Face and body perception is mediated by configural mechanisms, which allow the perception of these stimuli as a whole, rather than the sum of individual parts. Indirect measures of configural processing in visual cognition are the face and body inversion effects (FIE and BIE), which refer to the drop in performance when these stimuli are perceived upside-down. Albeit FIE and BIE have been well characterized at the behavioral level, much still needs to be understood in terms of the neurophysiological correlates of these effects. Thus, in the current study, the brain’s electrical activity has been recorded by a 128 channel electroencephalogram (EEG) in 24 healthy participants while perceiving (upright and inverted) faces, bodies and houses. EEG data were analyzed in both the time domain (i.e., event-related potentials—ERPs) and the frequency domain [i.e., induced theta (5–7 Hz) and gamma (28–45 Hz) oscillations]. ERPs amplitude results showed increased N170 amplitude for inverted faces and bodies (compared to the same stimuli presented in canonical position) but not for houses. ERPs latency results showed delayed N170 components for inverted (vs. upright) faces, houses, but not bodies. Spectral analysis of induced oscillations indicated physiological FIE and BIE; that is decreased gamma-band synchronization over right occipito-temporal electrodes for inverted (vs. upright) faces, and increased bilateral frontoparietal theta-band synchronization for inverted (vs. upright) faces. Furthermore, increased left occipito-temporal and right frontal theta-band synchronization for upright (vs. inverted) bodies was found. Our findings, thus, demonstrate clear differences in the neurophysiological correlates of face and body perception. The neurophysiological FIE suggests disruption of feature binding processes (decrease in occipital gamma oscillations for inverted faces), together with enhanced feature-based attention (increase in frontoparietal theta oscillations for inverted faces). In contrast, the BIE may suggest that structural encoding for bodies is mediated by the first stages of configural processing (decrease in occipital theta oscillations for inverted bodies).
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Affiliation(s)
- Francesco Bossi
- Department of Psychology, University of Milan-Bicocca, Milan, Italy.,School of Psychology, University of East London (UEL), London, United Kingdom
| | - Isabella Premoli
- Institute of Psychiatry, Psychology, and Neuroscience (IoPPN), King's College London, London, United Kingdom
| | - Sara Pizzamiglio
- School of Architecture, Computing and Engineering, University of East London (UEL), London, United Kingdom
| | - Sema Balaban
- School of Psychology, University of East London (UEL), London, United Kingdom
| | - Paola Ricciardelli
- Department of Psychology, University of Milan-Bicocca, Milan, Italy.,NeuroMI: Milan Center for Neuroscience, Milan, Italy
| | - Davide Rivolta
- School of Psychology, University of East London (UEL), London, United Kingdom.,Department of Education, Psychology, and Communication, University of Bari Aldo Moro, Bari, Italy
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17
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Improving audio-visual temporal perception through training enhances beta-band activity. Neuroimage 2020; 206:116312. [DOI: 10.1016/j.neuroimage.2019.116312] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Revised: 09/18/2019] [Accepted: 10/22/2019] [Indexed: 11/19/2022] Open
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18
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Monti C, Sozzi M, Bossi F, Corbo M, Rivolta D. Atypical holistic processing of facial identity and expression in a case of acquired prosopagnosia. Cogn Neuropsychol 2020; 36:358-382. [PMID: 31983272 DOI: 10.1080/02643294.2020.1718071] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Typical face perception is mediated by holistic processing (i.e., the simultaneous integration of face parts into a whole representation). People with Acquired Prosopagnosia (AP), who have lost the ability to recognise faces after a brain lesion, should thus show atypical holistic coding. Our aim is to use the composite-face effect (CFE) as a measure of holistic processing in ST, a 48-year-old woman with AP but normal recognition of facial expressions of emotions, and matched healthy control participants. Two experiments examining the CFE for identity (Experiment 1) and for expression of emotions (Experiment 2) were conducted. Contrary to controls, in both experiments, ST showed an atypical (i.e., reversed) CFE, thus suggesting altered holistic mechanisms affecting both components of perceptual judgement. Results also suggest that normal facial expression recognition is achievable even with holistic processing difficulties, possibly through compensatory, part-based, mechanisms.
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Affiliation(s)
- Cecilia Monti
- Department of Neurorehabilitation Sciences, Casa di Cura del Policlinico, Milano, Italy
| | - Matteo Sozzi
- Department of Neurorehabilitation Sciences, Casa di Cura del Policlinico, Milano, Italy.,Department of Neuroscience, Neurology Unit, "A.Manzoni" Hospital, Lecco, Italy
| | | | - Massimo Corbo
- Department of Neurorehabilitation Sciences, Casa di Cura del Policlinico, Milano, Italy
| | - Davide Rivolta
- Department of Education, Psychology and Communication, University of Bari Aldo Moro, Bari, Italy
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19
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Ohara N, Hirano Y, Oribe N, Tamura S, Nakamura I, Hirano S, Tsuchimoto R, Ueno T, Togao O, Hiwatashi A, Nakao T, Onitsuka T. Neurophysiological Face Processing Deficits in Patients With Chronic Schizophrenia: An MEG Study. Front Psychiatry 2020; 11:554844. [PMID: 33101080 PMCID: PMC7495506 DOI: 10.3389/fpsyt.2020.554844] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 08/19/2020] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Neuropsychological studies have revealed that patients with schizophrenia (SZ) have facial recognition difficulties and a reduced visual evoked N170 response to human faces. However, detailed neurophysiological evidence of this face processing deficit in SZ with a higher spatial resolution has yet to be acquired. In this study, we recorded visual evoked magnetoencephalography (MEG) and examined whether M170 (a magnetic counterpart of the N170) activity deficits are specific to faces in patients with chronic SZ. METHODS Participants were 26 patients with SZ and 26 healthy controls (HC). The M170 responses to faces and cars were recorded from whole-head MEG, and global field power over each temporal cortex was analyzed. The distributed M170 sources were also localized using a minimum-norm estimation (MNE) method. Correlational analyses between M170 responses and demographics/symptoms were performed. RESULTS As expected, the M170 was significantly smaller in the SZ compared with the HC group in response to faces, but not to cars (faces: p = 0.01; cars: p = 0.55). The MNE analysis demonstrated that while the M170 was localized over the fusiform face area (FFA) in the HC group, visual-related brain regions other than the FFA were strongly activated in the SZ group in both stimulus conditions. The severity of negative symptoms was negatively correlated with M170 power (rho = -0.47, p = 0.01) in SZ. Within HC, there was a significant correlation between age and the M170 responses to faces averaged for both hemispheres (rho = 0.60, p = 0.001), while such a relationship was not observed in patients with SZ (rho = 0.09, p = 0.67). CONCLUSION The present study showed specific reductions in the M170 response to human faces in patients with SZ. Our findings could suggest that SZ is characterized by face processing deficits that are associated with the severity of negative symptoms. Thus, we suggest that social cognition impairments in SZ might, at least in part, be caused by this functional face processing deficit.
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Affiliation(s)
- Naotoshi Ohara
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Medical Corporation Seiryokai, Mimamigaoka Hospital, Fukuoka, Japan
| | - Yoji Hirano
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Department of Psychiatry, Harvard Medical School, Boston, MA, United States
| | - Naoya Oribe
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Division of Clinical Research, National Hospital Organization, Hizen Psychiatric Medical Center, Saga, Japan
| | - Shunsuke Tamura
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Itta Nakamura
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Shogo Hirano
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Rikako Tsuchimoto
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Center for Health Sciences and Counseling, Kyushu University, Fukuoka, Japan
| | - Takefumi Ueno
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Division of Clinical Research, National Hospital Organization, Hizen Psychiatric Medical Center, Saga, Japan
| | - Osamu Togao
- Department of Molecular Imaging and Diagnosis, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Akio Hiwatashi
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Tomohiro Nakao
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Toshiaki Onitsuka
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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20
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Sauer A, Grent-'t-Jong T, Wibral M, Grube M, Singer W, Uhlhaas PJ. A MEG Study of Visual Repetition Priming in Schizophrenia: Evidence for Impaired High-Frequency Oscillations and Event-Related Fields in Thalamo-Occipital Cortices. Front Psychiatry 2020; 11:561973. [PMID: 33329101 PMCID: PMC7719679 DOI: 10.3389/fpsyt.2020.561973] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Accepted: 10/19/2020] [Indexed: 12/02/2022] Open
Abstract
Background: Cognitive dysfunctions represent a core feature of schizophrenia and a predictor for clinical outcomes. One possible mechanism for cognitive impairments could involve an impairment in the experience-dependent modifications of cortical networks. Methods: To address this issue, we employed magnetoencephalography (MEG) during a visual priming paradigm in a sample of chronic patients with schizophrenia (n = 14), and in a group of healthy controls (n = 14). We obtained MEG-recordings during the presentation of visual stimuli that were presented three times either consecutively or with intervening stimuli. MEG-data were analyzed for event-related fields as well as spectral power in the 1-200 Hz range to examine repetition suppression and repetition enhancement. We defined regions of interest in occipital and thalamic regions and obtained virtual-channel data. Results: Behavioral priming did not differ between groups. However, patients with schizophrenia showed prominently reduced oscillatory response to novel stimuli in the gamma-frequency band as well as significantly reduced repetition suppression of gamma-band activity and reduced repetition enhancement of beta-band power in occipital cortex to both consecutive repetitions as well as repetitions with intervening stimuli. Moreover, schizophrenia patients were characterized by a significant deficit in suppression of the C1m component in occipital cortex and thalamus as well as of the late positive component (LPC) in occipital cortex. Conclusions: These data provide novel evidence for impaired repetition suppression in cortical and subcortical circuits in schizophrenia. Although behavioral priming was preserved, patients with schizophrenia showed deficits in repetition suppression as well as repetition enhancement in thalamic and occipital regions, suggesting that experience-dependent modification of neural circuits is impaired in the disorder.
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Affiliation(s)
- Andreas Sauer
- Department of Neurophysiology, Max Planck Institute for Brain Research, Frankfurt am Main, Germany.,Singer Lab, Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation With Max Planck Society, Frankfurt am Main, Germany
| | - Tineke Grent-'t-Jong
- Institute of Neuroscience and Psychology, University of Glasgow, Scotland, United Kingdom.,Department of Child and Adolescent Psychiatry, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Michael Wibral
- Campus Institute for Dynamics of Biological Networks, Georg-August University, Göttingen, Germany
| | - Michael Grube
- Department of Psychiatry and Psychotherapy-Psychosomatics, Municipal Clinic, Frankfurt am Main, Germany
| | - Wolf Singer
- Department of Neurophysiology, Max Planck Institute for Brain Research, Frankfurt am Main, Germany.,Singer Lab, Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation With Max Planck Society, Frankfurt am Main, Germany.,Frankfurt Institute for Advanced Studies (FIAS), Frankfurt am Main, Germany
| | - Peter J Uhlhaas
- Institute of Neuroscience and Psychology, University of Glasgow, Scotland, United Kingdom.,Department of Child and Adolescent Psychiatry, Charité-Universitätsmedizin Berlin, Berlin, Germany
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21
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Gonzalez-Perez M, Wakui E, Thoma V, Nitsche MA, Rivolta D. Transcranial alternating current stimulation (tACS) at 40 Hz enhances face and object perception. Neuropsychologia 2019; 135:107237. [DOI: 10.1016/j.neuropsychologia.2019.107237] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Revised: 07/26/2019] [Accepted: 10/20/2019] [Indexed: 01/06/2023]
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22
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Salisbury DF, Krompinger JW, Lynn SK, Onitsuka T, McCarley RW. Neutral face and complex object neurophysiological processing deficits in long-term schizophrenia and in first hospitalized schizophrenia-spectrum individuals. Int J Psychophysiol 2019; 145:57-64. [PMID: 31173768 DOI: 10.1016/j.ijpsycho.2019.06.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2018] [Revised: 05/31/2019] [Accepted: 06/03/2019] [Indexed: 11/30/2022]
Abstract
BACKGROUND Face processing is impaired in long-term schizophrenia as indexed by a reduced face-related N170 event-related potential (ERP) that corresponds with volumetric decreases in right fusiform gyrus. Impairment in face processing may constitute an object-specific deficit in schizophrenia that relates to social impairment and misattribution of social signs in the disease, or the face deficit may be part of a more general deficit in complex visual processing. Further, it is not clear the degree to which face and complex object processing deficits are present early in disease course. To that end, the current study investigated face- and object-elicited N170 in long-term schizophrenia and the first hospitalized schizophrenia-spectrum. METHODS ERPs were collected from 32 long-term schizophrenia patients and 32 matched controls, and from 31 first hospitalization patients and 31 matched controls. Subjects detected rarely presented butterflies among non-target neutral faces and automobiles. RESULTS For both patient groups, the N170s to all stimuli were significantly attenuated. Despite this overall reduction, the increase in N170 amplitude to faces was intact in both patient samples. Symptoms were not correlated with N170 amplitude or latency to faces. CONCLUSIONS Information processing of complex stimuli is fundamentally impaired in schizophrenia, as reflected in attenuated N170 ERPs in both first hospitalized and long-term patients. This suggests the presence of low-level visual complex object processing deficits near disease onset that persist with disease course.
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Affiliation(s)
- Dean F Salisbury
- McLean Hospital, Harvard Medical School, Department of Psychiatry, Belmont, MA, USA.
| | - Jason W Krompinger
- McLean Hospital, Harvard Medical School, Department of Psychiatry, Belmont, MA, USA
| | - Spencer K Lynn
- McLean Hospital, Harvard Medical School, Department of Psychiatry, Belmont, MA, USA
| | - Toshiaki Onitsuka
- Veteran Affairs Healthcare System - Brockton Division, Brockton, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Robert W McCarley
- Veteran Affairs Healthcare System - Brockton Division, Brockton, MA, USA; Harvard Medical School, Boston, MA, USA
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23
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Flounders MW, González-García C, Hardstone R, He BJ. Neural dynamics of visual ambiguity resolution by perceptual prior. eLife 2019; 8:41861. [PMID: 30843519 PMCID: PMC6415935 DOI: 10.7554/elife.41861] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2018] [Accepted: 02/25/2019] [Indexed: 11/30/2022] Open
Abstract
Past experiences have enormous power in shaping our daily perception. Currently, dynamical neural mechanisms underlying this process remain mysterious. Exploiting a dramatic visual phenomenon, where a single experience of viewing a clear image allows instant recognition of a related degraded image, we investigated this question using MEG and 7 Tesla fMRI in humans. We observed that following the acquisition of perceptual priors, different degraded images are represented much more distinctly in neural dynamics starting from ~500 ms after stimulus onset. Content-specific neural activity related to stimulus-feature processing dominated within 300 ms after stimulus onset, while content-specific neural activity related to recognition processing dominated from 500 ms onward. Model-driven MEG-fMRI data fusion revealed the spatiotemporal evolution of neural activities involved in stimulus, attentional, and recognition processing. Together, these findings shed light on how experience shapes perceptual processing across space and time in the brain.
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Affiliation(s)
- Matthew W Flounders
- Neuroscience Institute, New York University Langone Medical Center, New York, United States
| | | | - Richard Hardstone
- Neuroscience Institute, New York University Langone Medical Center, New York, United States
| | - Biyu J He
- Neuroscience Institute, New York University Langone Medical Center, New York, United States.,Department of Neurology, New York University Langone Medical Center, New York, United States.,Department of Neuroscience and Physiology, New York University Langone Medical Center, New York, United States.,Department of Radiology, New York University Langone Medical Center, New York, United States
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24
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Hirt V, Schubring D, Schalinski I, Rockstroh B. Mismatch negativity and cognitive performance in the course of schizophrenia. Int J Psychophysiol 2019; 145:30-39. [PMID: 30684515 DOI: 10.1016/j.ijpsycho.2019.01.006] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2018] [Revised: 01/06/2019] [Accepted: 01/21/2019] [Indexed: 02/01/2023]
Abstract
BACKGROUND Cognitive deficits and abnormal event-related brain potentials (ERP) have been proposed as risk markers for the development of schizophrenia. Evidence is inconclusive whether these markers indicate a risk for the development of psychosis or illness progression. METHODS The present study aimed at further clarification by comparing symptom expression (Brief Psychiatric Rating Scale, BRPS), the ERP Mismatch Negativity (MMN), and neuropsychological performance on the MATRICS Consensus Cognitive Battery between healthy controls (HC, n = 38) and individuals at different stages of illness: individuals at risk for psychosis (ARP, n = 33), patients at first admission, thus, early stage (ES, n = 35), chronic schizophrenia patients (CS, n = 25). Moreover, symptom expression was reassessed for ARP and ES at a 6 months follow-up. RESULTS MMN was smaller in individuals with manifest psychosis (ES, CS) than in HC, but did not differ between ARP and HC. In contrast, ARP showed similar cognitive deficits as ES and CS, all three groups differing from HC. Lower cognitive performance predicted higher symptom severity at index assessments and 6 months follow-up in ARP and ES, while MMN did not explain additional variance. CONCLUSION MMN seems to mark manifest psychosis, independent of early or chronic stage, while cognitive deficits mark early present psychopathology in individuals at risk for and with diagnosed psychosis rather than illness progression.
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Affiliation(s)
- Vanessa Hirt
- Department of Psychology, PO Box 905, University of Konstanz, 78457 Konstanz, Germany.
| | - David Schubring
- Department of Psychology, PO Box 905, University of Konstanz, 78457 Konstanz, Germany.
| | - Inga Schalinski
- Department of Psychology, PO Box 905, University of Konstanz, 78457 Konstanz, Germany.
| | - Brigitte Rockstroh
- Department of Psychology, PO Box 905, University of Konstanz, 78457 Konstanz, Germany.
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25
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Schwiedrzik CM, Melloni L, Schurger A. Mooney face stimuli for visual perception research. PLoS One 2018; 13:e0200106. [PMID: 29979727 PMCID: PMC6034866 DOI: 10.1371/journal.pone.0200106] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Accepted: 06/19/2018] [Indexed: 11/18/2022] Open
Abstract
In 1957, Craig Mooney published a set of human face stimuli to study perceptual closure: the formation of a coherent percept on the basis of minimal visual information. Images of this type, now known as "Mooney faces", are widely used in cognitive psychology and neuroscience because they offer a means of inducing variable perception with constant visuo-spatial characteristics (they are often not perceived as faces if viewed upside down). Mooney's original set of 40 stimuli has been employed in several studies. However, it is often necessary to use a much larger stimulus set. We created a new set of over 500 Mooney faces and tested them on a cohort of human observers. We present the results of our tests here, and make the stimuli freely available via the internet. Our test results can be used to select subsets of the stimuli that are most suited for a given experimental purpose.
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Affiliation(s)
- Caspar M. Schwiedrzik
- Neural Circuits and Cognition Lab, European Neuroscience Institute, Göttingen, Germany
- University Medical Center Goettingen, Göttingen, Germany
| | - Lucia Melloni
- Department of Neurosurgery, Columbia University, New York, New York, United States of America
- Neuroscience Department, Max Planck Institute for Empirical Aesthetics, Frankfurt am Main, Germany
| | - Aaron Schurger
- INSERM, Cognitive Neuroimaging Unit, Gif sur Yvette, France
- Commissariat à l’Energie Atomique, Direction des Sciences du Vivant, I2BM, NeuroSpin center, Gif sur Yvette, France
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26
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Anticevic A, Krystal JH, Murray JD. Meeting Emerging Challenges and Opportunities in Psychiatry Through Computational Neuroscience. COMPUTATIONAL PSYCHIATRY 2018. [DOI: 10.1016/b978-0-12-809825-7.02004-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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27
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Silverstein SM, Demmin DL, Bednar JA. Computational Modeling of Contrast Sensitivity and Orientation Tuning in First-Episode and Chronic Schizophrenia. COMPUTATIONAL PSYCHIATRY (CAMBRIDGE, MASS.) 2017; 1:102-131. [PMID: 30090855 PMCID: PMC6067832 DOI: 10.1162/cpsy_a_00005] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/17/2017] [Accepted: 05/16/2017] [Indexed: 12/11/2022]
Abstract
Computational modeling is a useful method for generating hypotheses about the contributions of impaired neurobiological mechanisms, and their interactions, to psychopathology. Modeling is being increasingly used to further our understanding of schizophrenia, but to date, it has not been applied to questions regarding the common perceptual disturbances in the disorder. In this article, we model aspects of low-level visual processing and demonstrate how this can lead to testable hypotheses about both the nature of visual abnormalities in schizophrenia and the relationships between the mechanisms underlying these disturbances and psychotic symptoms. Using a model that incorporates retinal, lateral geniculate nucleus (LGN), and V1 activity, as well as gain control in the LGN, homeostatic adaptation in V1, lateral excitation and inhibition in V1, and self-organization of synaptic weights based on Hebbian learning and divisive normalization, we show that (a) prior data indicating increased contrast sensitivity for low-spatial-frequency stimuli in first-episode schizophrenia can be successfully modeled as a function of reduced retinal and LGN efferent activity, leading to overamplification at the cortical level, and (b) prior data on reduced contrast sensitivity and broadened orientation tuning in chronic schizophrenia can be successfully modeled by a combination of reduced V1 lateral inhibition and an increase in the Hebbian learning rate at V1 synapses for LGN input. These models are consistent with many current findings, and they predict several relationships that have not yet been demonstrated. They also have implications for understanding changes in brain and visual function from the first psychotic episode to the chronic stage of illness.
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Affiliation(s)
- Steven M. Silverstein
- Rutgers University Behavioral Health Care, Piscataway, New Jersey, USA
- Robert Wood Johnson Medical School Department of Psychiatry, Rutgers University, Piscataway, New Jersey, USA
| | - Docia L. Demmin
- Rutgers University Behavioral Health Care, Piscataway, New Jersey, USA
- Department of Psychology, Rutgers University, Piscataway, New Jersey, USA
| | - James A. Bednar
- School of Informatics, University of Edinburgh, Edinburgh, Scotland
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28
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Costantino AI, Titoni M, Bossi F, Premoli I, Nitsche MA, Rivolta D. Preliminary Evidence of "Other-Race Effect"-Like Behavior Induced by Cathodal-tDCS over the Right Occipital Cortex, in the Absence of Overall Effects on Face/Object Processing. Front Neurosci 2017; 11:661. [PMID: 29249931 PMCID: PMC5714884 DOI: 10.3389/fnins.2017.00661] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2017] [Accepted: 11/13/2017] [Indexed: 11/13/2022] Open
Abstract
Neuromodulation techniques such as tDCS have provided important insight into the neurophysiological mechanisms that mediate cognition. Albeit anodal tDCS (a-tDCS) often enhances cognitive skills, the role of cathodal tDCS (c-tDCS) in visual cognition is largely unexplored and inconclusive. Here, in a single-blind, sham-controlled study, we investigated the offline effects of 1.5 mA c-tDCS over the right occipital cortex of 86 participants on four tasks assessing perception and memory of both faces and objects. Results demonstrated that c-tDCS does not overall affect performance on the four tasks. However, post-hoc exploratory analysis on participants' race (Caucasian vs. non-Caucasians), showed a "face-specific" performance decrease (≈10%) in non-Caucasian participants only. This preliminary evidence suggests that c-tDCS can induce "other-race effect (ORE)-like" behavior in non-Caucasian participants that did not show any ORE before stimulation (and in case of sham stimulation). Our results add relevant information about the breadth of cognitive processes and visual stimuli that can be modulated by c-tDCS, about the design of effective neuromodulation protocols, and have important implications for the potential neurophysiological bases of ORE.
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Affiliation(s)
| | - Matilde Titoni
- School of Psychology, University of East London, London, United Kingdom
| | - Francesco Bossi
- School of Psychology, University of East London, London, United Kingdom.,Department of Psychology, University of Milano-Bicocca, Milan, Italy
| | - Isabella Premoli
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, United Kingdom
| | - Michael A Nitsche
- Department of Psychology and Neuroscience, Leibniz Research Center for Working Environment and Human Factors, Dortmund, Germany.,Department of Neurology, University Medical Hospital Bergmannsheil, Bochum, Germany
| | - Davide Rivolta
- School of Psychology, University of East London, London, United Kingdom.,Department of Education, Psychology and Communication, University of Bari Aldo Moro, Bari, Italy
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29
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Bonemei R, Costantino AI, Battistel I, Rivolta D. The perception of (naked only) bodies and faceless heads relies on holistic processing: Evidence from the inversion effect. Br J Psychol 2017; 109:232-243. [PMID: 28940474 DOI: 10.1111/bjop.12271] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2016] [Revised: 09/04/2017] [Indexed: 11/28/2022]
Abstract
Faces and bodies are more difficult to perceive when presented inverted than when presented upright (i.e., stimulus inversion effect), an effect that has been attributed to the disruption of holistic processing. The features that can trigger holistic processing in faces and bodies, however, still remain elusive. In this study, using a sequential matching task, we tested whether stimulus inversion affects various categories of visual stimuli: faces, faceless heads, faceless heads in body context, headless bodies naked, whole bodies naked, headless bodies clothed, and whole bodies clothed. Both accuracy and inversion efficiency score results show inversion effects for all categories but for clothed bodies (with and without heads). In addition, the magnitude of the inversion effect for face, naked body, and faceless heads was similar. Our findings demonstrate that the perception of faces, faceless heads, and naked bodies relies on holistic processing. Clothed bodies (with and without heads), on the other side, may trigger clothes-sensitive rather than body-sensitive perceptual mechanisms.
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Affiliation(s)
- Rob Bonemei
- School of Psychology, University of East London (UEL), UK
| | | | | | - Davide Rivolta
- School of Psychology, University of East London (UEL), UK.,Department of Education, Psychology and Communication, University of Bari Aldo Moro, Italy
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30
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Krystal JH, Anticevic A, Yang GJ, Dragoi G, Driesen NR, Wang XJ, Murray JD. Impaired Tuning of Neural Ensembles and the Pathophysiology of Schizophrenia: A Translational and Computational Neuroscience Perspective. Biol Psychiatry 2017; 81:874-885. [PMID: 28434616 PMCID: PMC5407407 DOI: 10.1016/j.biopsych.2017.01.004] [Citation(s) in RCA: 138] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2016] [Revised: 12/14/2016] [Accepted: 01/04/2017] [Indexed: 10/20/2022]
Abstract
The functional optimization of neural ensembles is central to human higher cognitive functions. When the functions through which neural activity is tuned fail to develop or break down, symptoms and cognitive impairments arise. This review considers ways in which disturbances in the balance of excitation and inhibition might develop and be expressed in cortical networks in association with schizophrenia. This presentation is framed within a developmental perspective that begins with disturbances in glutamate synaptic development in utero. It considers developmental correlates and consequences, including compensatory mechanisms that increase intrinsic excitability or reduce inhibitory tone. It also considers the possibility that these homeostatic increases in excitability have potential negative functional and structural consequences. These negative functional consequences of disinhibition may include reduced working memory-related cortical activity associated with the downslope of the "inverted-U" input-output curve, impaired spatial tuning of neural activity and impaired sparse coding of information, and deficits in the temporal tuning of neural activity and its implication for neural codes. The review concludes by considering the functional significance of noisy activity for neural network function. The presentation draws on computational neuroscience and pharmacologic and genetic studies in animals and humans, particularly those involving N-methyl-D-aspartate glutamate receptor antagonists, to illustrate principles of network regulation that give rise to features of neural dysfunction associated with schizophrenia. While this presentation focuses on schizophrenia, the general principles outlined in the review may have broad implications for considering disturbances in the regulation of neural ensembles in psychiatric disorders.
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Affiliation(s)
- John H. Krystal
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT USA,Department of Neuroscience, Yale University School of Medicine, New Haven, CT USA,Clinical Neuroscience Division, VA National Center for PTSD, VA Connecticut Healthcare System, West Haven, CT USA,Behavioral Health Services, Yale-New Haven Hospital, New Haven, CT USA
| | - Alan Anticevic
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT USA,Department of Psychology, Yale University
| | - Genevieve J. Yang
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT USA,Department of Neuroscience, Yale University School of Medicine, New Haven, CT USA
| | - George Dragoi
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT USA,Department of Neuroscience, Yale University School of Medicine, New Haven, CT USA
| | - Naomi R. Driesen
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT USA,Clinical Neuroscience Division, VA National Center for PTSD, VA Connecticut Healthcare System, West Haven, CT USA
| | | | - John D. Murray
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT USA
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31
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Foss-Feig JH, Adkinson BD, Ji JL, Yang G, Srihari VH, McPartland JC, Krystal JH, Murray JD, Anticevic A. Searching for Cross-Diagnostic Convergence: Neural Mechanisms Governing Excitation and Inhibition Balance in Schizophrenia and Autism Spectrum Disorders. Biol Psychiatry 2017; 81:848-861. [PMID: 28434615 PMCID: PMC5436134 DOI: 10.1016/j.biopsych.2017.03.005] [Citation(s) in RCA: 163] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2016] [Revised: 02/06/2017] [Accepted: 03/05/2017] [Indexed: 01/08/2023]
Abstract
Recent theoretical accounts have proposed excitation and inhibition (E/I) imbalance as a possible mechanistic, network-level hypothesis underlying neural and behavioral dysfunction across neurodevelopmental disorders, particularly autism spectrum disorder (ASD) and schizophrenia (SCZ). These two disorders share some overlap in their clinical presentation as well as convergence in their underlying genes and neurobiology. However, there are also clear points of dissociation in terms of phenotypes and putatively affected neural circuitry. We highlight emerging work from the clinical neuroscience literature examining neural correlates of E/I imbalance across children and adults with ASD and adults with both chronic and early-course SCZ. We discuss findings from diverse neuroimaging studies across distinct modalities, conducted with electroencephalography, magnetoencephalography, proton magnetic resonance spectroscopy, and functional magnetic resonance imaging, including effects observed both during task and at rest. Throughout this review, we discuss points of convergence and divergence in the ASD and SCZ literature, with a focus on disruptions in neural E/I balance. We also consider these findings in relation to predictions generated by theoretical neuroscience, particularly computational models predicting E/I imbalance across disorders. Finally, we discuss how human noninvasive neuroimaging can benefit from pharmacological challenge studies to reveal mechanisms in ASD and SCZ. Collectively, we attempt to shed light on shared and divergent neuroimaging effects across disorders with the goal of informing future research examining the mechanisms underlying the E/I imbalance hypothesis across neurodevelopmental disorders. We posit that such translational efforts are vital to facilitate development of neurobiologically informed treatment strategies across neuropsychiatric conditions.
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Affiliation(s)
- Jennifer H Foss-Feig
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai Hospital, New York, New York; Seaver Autism Center, Icahn School of Medicine at Mount Sinai Hospital, New York, New York; Child Study Center, Yale University School of Medicine, New Haven, Connecticut; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.
| | - Brendan D Adkinson
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Jie Lisa Ji
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; Interdepartmental Neuroscience Program, Yale University, New Haven, Connecticut
| | - Genevieve Yang
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; Interdepartmental Neuroscience Program, Yale University, New Haven, Connecticut
| | - Vinod H Srihari
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - James C McPartland
- Child Study Center, Yale University School of Medicine, New Haven, Connecticut; Department of Psychology, Yale University, New Haven, Connecticut
| | - John H Krystal
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; Division of Neurocognition, Neurocomputation, & Neurogenetics (N3), Yale University School of Medicine, New Haven, Connecticut; Department of Neurobiology, Yale University School of Medicine, New Haven, Connecticut; Interdepartmental Neuroscience Program, Yale University, New Haven, Connecticut; Abraham Ribicoff Research Facilities, Connecticut Mental Health Center, New Haven, Connecticut
| | - John D Murray
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; Division of Neurocognition, Neurocomputation, & Neurogenetics (N3), Yale University School of Medicine, New Haven, Connecticut; Department of Neurobiology, Yale University School of Medicine, New Haven, Connecticut
| | - Alan Anticevic
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; Division of Neurocognition, Neurocomputation, & Neurogenetics (N3), Yale University School of Medicine, New Haven, Connecticut; Interdepartmental Neuroscience Program, Yale University, New Haven, Connecticut; Department of Psychology, Yale University, New Haven, Connecticut
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32
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Negrini M, Brkić D, Pizzamiglio S, Premoli I, Rivolta D. Neurophysiological Correlates of Featural and Spacing Processing for Face and Non-face Stimuli. Front Psychol 2017; 8:333. [PMID: 28348535 PMCID: PMC5346548 DOI: 10.3389/fpsyg.2017.00333] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2016] [Accepted: 02/22/2017] [Indexed: 11/13/2022] Open
Abstract
The peculiar ability of humans to recognize hundreds of faces at a glance has been attributed to face-specific perceptual mechanisms known as holistic processing. Holistic processing includes the ability to discriminate individual facial features (i.e., featural processing) and their spatial relationships (i.e., spacing processing). Here, we aimed to characterize the spatio-temporal dynamics of featural- and spacing-processing of faces and objects. Nineteen healthy volunteers completed a newly created perceptual discrimination task for faces and objects (i.e., the "University of East London Face Task") while their brain activity was recorded with a high-density (128 electrodes) electroencephalogram. Our results showed that early event related potentials at around 100 ms post-stimulus onset (i.e., P100) are sensitive to both facial features and spacing between the features. Spacing and features discriminability for objects occurred at circa 200 ms post-stimulus onset (P200). These findings indicate the existence of neurophysiological correlates of spacing vs. features processing in both face and objects, and demonstrate faster brain processing for faces.
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Affiliation(s)
- Marcello Negrini
- School of Psychology, University of East LondonLondon, UK; Department of Economics (AE1), School of Business and Economics, Maastricht UniversityMaastricht, Netherlands
| | - Diandra Brkić
- School of Psychology, University of East LondonLondon, UK; Aston Brain Centre, School of Life and Health Sciences, Aston UniversityBirmingham, UK
| | - Sara Pizzamiglio
- School of Architecture, Computing and Engineering, University of East London London, UK
| | - Isabella Premoli
- Institute of Psychiatry, Psychology and Neuroscience, King's College London London, UK
| | - Davide Rivolta
- School of Psychology, University of East London London, UK
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33
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Pratt J, Dawson N, Morris BJ, Grent-'t-Jong T, Roux F, Uhlhaas PJ. Thalamo-cortical communication, glutamatergic neurotransmission and neural oscillations: A unique window into the origins of ScZ? Schizophr Res 2017; 180:4-12. [PMID: 27317361 DOI: 10.1016/j.schres.2016.05.013] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2016] [Revised: 05/12/2016] [Accepted: 05/17/2016] [Indexed: 12/11/2022]
Abstract
The thalamus has recently received renewed interest in systems-neuroscience and schizophrenia (ScZ) research because of emerging evidence highlighting its important role in coordinating functional interactions in cortical-subcortical circuits. Moreover, higher cognitive functions, such as working memory and attention, have been related to thalamo-cortical interactions, providing a novel perspective for the understanding of the neural substrate of cognition. The current review will support this perspective by summarizing evidence on the crucial role of neural oscillations in facilitating thalamo-cortical (TC) interactions during normal brain functioning and their potential impairment in ScZ. Specifically, we will focus on the relationship between NMDA-R mediated (glutamatergic) neurotransmission in TC-interactions. To this end, we will first review the functional anatomy and neurotransmitters in thalamic circuits, followed by a review of the oscillatory signatures and cognitive processes supported by TC-circuits. In the second part of the paper, data from preclinical research as well as human studies will be summarized that have implicated TC-interactions as a crucial target for NMDA-receptor hypofunctioning. Finally, we will compare these neural signatures with current evidence from ScZ-research, suggesting a potential overlap between alterations in TC-circuits as the result of NMDA-R deficits and stage-specific alterations in large-scale networks in ScZ.
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Affiliation(s)
- Judith Pratt
- Strathclyde Institute of Pharmacy & Biomedical Sciences, Univ. of Strathclyde, United Kingdom
| | - Neil Dawson
- Division of Biomedical and Life Sciences, University of Lancaster, United Kingdom
| | - Brain J Morris
- Institute of Neuroscience and Psychology, Univ. of Glasgow, United Kingdom
| | | | - Frederic Roux
- School of Psychology, University of Birmingham, United Kingdom
| | - Peter J Uhlhaas
- Institute of Neuroscience and Psychology, Univ. of Glasgow, United Kingdom.
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34
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López-Caballero F, Zarnowiec K, Escera C. Differential deviant probability effects on two hierarchical levels of the auditory novelty system. Biol Psychol 2016; 120:1-9. [DOI: 10.1016/j.biopsycho.2016.08.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2016] [Revised: 06/16/2016] [Accepted: 08/02/2016] [Indexed: 11/25/2022]
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35
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Grent-'t-Jong T, Rivolta D, Sauer A, Grube M, Singer W, Wibral M, Uhlhaas PJ. MEG-measured visually induced gamma-band oscillations in chronic schizophrenia: Evidence for impaired generation of rhythmic activity in ventral stream regions. Schizophr Res 2016; 176:177-185. [PMID: 27349815 DOI: 10.1016/j.schres.2016.06.003] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2016] [Revised: 05/14/2016] [Accepted: 06/04/2016] [Indexed: 11/27/2022]
Abstract
BACKGROUND Gamma-band oscillations are prominently impaired in schizophrenia, but the nature of the deficit and relationship to perceptual processes is unclear. METHODS 16 patients with chronic schizophrenia (ScZ) and 16 age-matched healthy controls completed a visual paradigm while magnetoencephalographic (MEG) data was recorded. Participants had to detect randomly occurring stimulus acceleration while viewing a concentric moving grating. MEG data were analyzed for spectral power (1-100Hz) at sensor- and source-level to examine the brain regions involved in aberrant rhythmic activity, and for contribution of differences in baseline activity towards the generation of low- and high-frequency power. RESULTS Our data show reduced gamma-band power at sensor level in schizophrenia patients during stimulus processing while alpha-band and baseline spectrum were intact. Differences in oscillatory activity correlated with reduced behavioral detection rates in the schizophrenia group and higher scores on the "Cognitive Factor" of the Positive and Negative Syndrome Scale. Source reconstruction revealed that extra-striate (fusiform/lingual gyrus), but not striate (cuneus), visual cortices contributed towards the reduced activity observed at sensor-level in ScZ patients. Importantly, differences in stimulus-related activity were not due to differences in baseline activity. CONCLUSIONS Our findings highlight that MEG-measured high-frequency oscillations during visual processing can be robustly identified in ScZ. Our data further suggest impairments that involve dysfunctions in ventral stream processing and a failure to increase gamma-band activity in a task-context. Implications of these findings are discussed in the context of current theories of cortical-subcortical circuit dysfunctions and perceptual processing in ScZ.
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Affiliation(s)
- Tineke Grent-'t-Jong
- Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, United Kingdom.
| | - Davide Rivolta
- Department of Neurophysiology, Max Planck Institute for Brain Research, Frankfurt am Main 60528, Germany; Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Frankfurt am Main 60528, Germany; School of Psychology, University of East London (UEL), London, United Kingdom
| | - Andreas Sauer
- Department of Neurophysiology, Max Planck Institute for Brain Research, Frankfurt am Main 60528, Germany; Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Frankfurt am Main 60528, Germany
| | - Michael Grube
- Department of Psychiatry and Psychotherapy - Psychosomatics, Municipal Clinic, Frankfurt am Main 65929, Germany
| | - Wolf Singer
- Department of Neurophysiology, Max Planck Institute for Brain Research, Frankfurt am Main 60528, Germany; Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Frankfurt am Main 60528, Germany; Frankfurt Institute for Advanced Studies (FIAS), Johann Wolfgang Goethe University, Frankfurt am Main, Germany
| | - Michael Wibral
- MEG Unit, Brain Imaging Centre (BIC), Johann Wolfgang Goethe University, Frankfurt am Main 60529, Germany
| | - Peter J Uhlhaas
- Department of Neurophysiology, Max Planck Institute for Brain Research, Frankfurt am Main 60528, Germany; Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Frankfurt am Main 60528, Germany; Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, United Kingdom
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Papale LA, Li S, Madrid A, Zhang Q, Chen L, Chopra P, Jin P, Keleş S, Alisch RS. Sex-specific hippocampal 5-hydroxymethylcytosine is disrupted in response to acute stress. Neurobiol Dis 2016; 96:54-66. [PMID: 27576189 DOI: 10.1016/j.nbd.2016.08.014] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2016] [Revised: 08/18/2016] [Accepted: 08/23/2016] [Indexed: 01/18/2023] Open
Abstract
Environmental stress is among the most important contributors to increased susceptibility to develop psychiatric disorders. While it is well known that acute environmental stress alters gene expression, the molecular mechanisms underlying these changes remain largely unknown. 5-hydroxymethylcytosine (5hmC) is a novel environmentally sensitive epigenetic modification that is highly enriched in neurons and is associated with active neuronal transcription. Recently, we reported a genome-wide disruption of hippocampal 5hmC in male mice following acute stress that was correlated to altered transcript levels of genes in known stress related pathways. Since sex-specific endocrine mechanisms respond to environmental stimulus by altering the neuronal epigenome, we examined the genome-wide profile of hippocampal 5hmC in female mice following exposure to acute stress and identified 363 differentially hydroxymethylated regions (DhMRs) linked to known (e.g., Nr3c1 and Ntrk2) and potentially novel genes associated with stress response and psychiatric disorders. Integration of hippocampal expression data from the same female mice found stress-related hydroxymethylation correlated to altered transcript levels. Finally, characterization of stress-induced sex-specific 5hmC profiles in the hippocampus revealed 778 sex-specific acute stress-induced DhMRs some of which were correlated to altered transcript levels that produce sex-specific isoforms in response to stress. Together, the alterations in 5hmC presented here provide a possible molecular mechanism for the adaptive sex-specific response to stress that may augment the design of novel therapeutic agents that will have optimal effectiveness in each sex.
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Affiliation(s)
- Ligia A Papale
- Department of Psychiatry, University of Wisconsin, Madison, WI, USA
| | - Sisi Li
- Department of Psychiatry, University of Wisconsin, Madison, WI, USA; Neuroscience Training Program, University of Wisconsin, Madison, WI, USA
| | - Andy Madrid
- Department of Psychiatry, University of Wisconsin, Madison, WI, USA; Neuroscience Training Program, University of Wisconsin, Madison, WI, USA
| | - Qi Zhang
- Department of Statistics, University of Nebraska, Lincoln, NE, USA
| | - Li Chen
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA
| | - Pankaj Chopra
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA
| | - Peng Jin
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA
| | - Sündüz Keleş
- Department of Statistics, Biostatistics, and Medical Informatics, University of Wisconsin, Madison, WI, USA
| | - Reid S Alisch
- Department of Psychiatry, University of Wisconsin, Madison, WI, USA.
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Gasparini CF, Smith RA, Griffiths LR. Genetic insights into migraine and glutamate: a protagonist driving the headache. J Neurol Sci 2016; 367:258-68. [PMID: 27423601 DOI: 10.1016/j.jns.2016.06.016] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2015] [Revised: 05/11/2016] [Accepted: 06/08/2016] [Indexed: 12/12/2022]
Abstract
Migraine is a complex polygenic disorder that continues to be a great source of morbidity in the developed world with a prevalence of 12% in the Caucasian population. Genetic and pharmacological studies have implicated the glutamate pathway in migraine pathophysiology. Glutamate profoundly impacts brain circuits that regulate core symptom domains in a range of neuropsychiatric conditions and thus remains a "hot" target for drug discovery. Glutamate has been implicated in cortical spreading depression (CSD), the phenomenon responsible for migraine with aura and in animal models carrying FHM mutations. Genotyping case-control studies have shown an association between glutamate receptor genes, namely, GRIA1 and GRIA3 with migraine with indirect supporting evidence from GWAS. New evidence localizes PRRT2 at glutamatergic synapses and shows it affects glutamate signalling and glutamate receptor activity via interactions with GRIA1. Glutamate-system defects have also been recently implicated in a novel FHM2 ATP1A2 disease-mutation mouse model. Adding to the growing evidence neurophysiological findings support a role for glutamate in cortical excitability. In addition to the existence of multiple genes to choreograph the functions of fast-signalling glutamatergic neurons, glutamate receptor diversity and regulation is further increased by the post-translational mechanisms of RNA editing and miRNAs. Ongoing genetic studies, GWAS and meta-analysis implicate neurogenic mechanisms in migraine pathology and the first genome-wide associated locus for migraine on chromosome X. Finally, in addition to glutamate modulating therapies, the kynurenine pathway has emerged as a candidate for involvement in migraine pathophysiology. In this review we discuss recent genetic evidence and glutamate modulating therapies that bear on the hypothesis that a glutamatergic mechanism may be involved in migraine susceptibility.
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Affiliation(s)
- Claudia F Gasparini
- Menzies Health Institute Queensland, Griffith University Gold Coast, Parklands Drive, Southport, QLD 4222, Australia
| | - Robert A Smith
- Genomics Research Centre, Institute of Health and Biomedical Innovation, School of Biomedical Sciences, Queensland University of Technology, Musk Ave, Kelvin Grove, QLD 4059, Australia
| | - Lyn R Griffiths
- Genomics Research Centre, Institute of Health and Biomedical Innovation, School of Biomedical Sciences, Queensland University of Technology, Musk Ave, Kelvin Grove, QLD 4059, Australia.
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Abstract
PURPOSE OF REVIEW We review our current understanding of abnormal γ band oscillations in schizophrenia, their association with symptoms and the underlying cortical circuit abnormality, with a particular focus on the role of fast-spiking parvalbumin gamma-aminobutyric acid (GABA) neurons in the disease state. RECENT FINDINGS Clinical electrophysiological studies of schizophrenia patients and pharmacological models of the disorder show an increase in spontaneous γ band activity (not stimulus-evoked) measures. These findings provide a crucial link between preclinical and clinical work examining the role of γ band activity in schizophrenia. MRI-based experiments measuring cortical GABA provides evidence supporting impaired GABAergic neurotransmission in schizophrenia patients, which is correlated with γ band activity level. Several studies suggest that stimulation of the cortical circuitry, directly or via subcortical structures, has the potential to modulate cortical γ activity, and improve cognitive function. SUMMARY Abnormal γ band activity is observed in patients with schizophrenia and disease models in animals, and is suggested to underlie the psychosis and cognitive/perceptual deficits. Convergent evidence from both clinical and preclinical studies suggest the central factor in γ band abnormalities is impaired GABAergic neurotransmission, particularly in a subclass of neurons which express parvalbumin. Rescue of γ band abnormalities presents an intriguing option for therapeutic intervention.
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Rivolta D, Puce A, Williams MA. Editorial: Facing the Other: Novel Theories and Methods in Face Perception Research. Front Hum Neurosci 2016; 10:32. [PMID: 26903840 PMCID: PMC4744850 DOI: 10.3389/fnhum.2016.00032] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2015] [Accepted: 01/19/2016] [Indexed: 11/13/2022] Open
Affiliation(s)
- Davide Rivolta
- School of Psychology, University of East London London, UK
| | - Aina Puce
- Department of Psychological and Brain Sciences, Indiana University Bloomington, IN, USA
| | - Mark A Williams
- Perception in Action Research Centre, and ARC Centre of Excellence in Cognition and its Disorders, Department of Cognitive Science, Faculty of Human Sciences, Macquarie University Sydney, NSW, Australia
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40
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Barbieri M, Negrini M, Nitsche MA, Rivolta D. Anodal-tDCS over the human right occipital cortex enhances the perception and memory of both faces and objects. Neuropsychologia 2016; 81:238-244. [DOI: 10.1016/j.neuropsychologia.2015.12.030] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2015] [Revised: 12/10/2015] [Accepted: 12/28/2015] [Indexed: 11/28/2022]
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Silverstein SM. Visual Perception Disturbances in Schizophrenia: A Unified Model. NEBRASKA SYMPOSIUM ON MOTIVATION. NEBRASKA SYMPOSIUM ON MOTIVATION 2016; 63:77-132. [PMID: 27627825 DOI: 10.1007/978-3-319-30596-7_4] [Citation(s) in RCA: 71] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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Abstract
Since its introduction in 1957, the Mooney test has continued to see active use in studies of visual perception, in studies using brain imaging, and in clinical research. Mooney's original version is of limited length, however, and was designed to be administered by time-consuming personal interview. We have developed a new, extended version of the Mooney test that is suitable for online testing and for use in a test-retest paradigm. The Mooney-Verhallen Test (MVT) comprises 144 trials, takes on average less than 10 min to complete, and has a Spearman-Brown-corrected test-retest reliability of ρ = .89. We outline our methods for developing the stimuli and for selecting the final stimulus set, and we present the results from two rounds of testing on two independent samples of 374 participants and 505 participants, respectively. The test is freely available for scientific use.
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44
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Rivolta D, Heidegger T, Scheller B, Sauer A, Schaum M, Birkner K, Singer W, Wibral M, Uhlhaas PJ. Ketamine Dysregulates the Amplitude and Connectivity of High-Frequency Oscillations in Cortical-Subcortical Networks in Humans: Evidence From Resting-State Magnetoencephalography-Recordings. Schizophr Bull 2015; 41:1105-14. [PMID: 25987642 PMCID: PMC4535642 DOI: 10.1093/schbul/sbv051] [Citation(s) in RCA: 111] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Hypofunctioning of the N-methyl-D-aspartate receptor (NMDA-R) has been prominently implicated in the pathophysiology of schizophrenia (ScZ). The current study tested the effects of ketamine, a dissociative anesthetic and NMDA-R antagonist, on resting-state activity recorded with magnetoencephalography (MEG) in healthy volunteers. In a single-blind cross-over design, each participant (n = 12) received, on 2 different sessions, a subanesthetic dose of S-ketamine (0.006 mg/Kg) and saline injection. MEG-data were analyzed at sensor- and source-level in the beta (13-30 Hz) and gamma (30-90 Hz) frequency ranges. In addition, connectivity analysis at source-level was performed using transfer entropy (TE). Ketamine increased gamma-power while beta-band activity was decreased. Specifically, elevated 30-90 Hz activity was pronounced in subcortical (thalamus and hippocampus) and cortical (frontal and temporal cortex) regions, whilst reductions in beta-band power were localized to the precuneus, cerebellum, anterior cingulate, temporal and visual cortex. TE analysis demonstrated increased information transfer in a thalamo-cortical network after ketamine administration. The findings are consistent with the pronounced dysregulation of high-frequency oscillations following the inhibition of NMDA-R in animal models of ScZ as well as with evidence from electroencephalogram-data in ScZ-patients and increased functional connectivity during early illness stages. Moreover, our data highlight the potential contribution of thalamo-cortical connectivity patterns towards ketamine-induced neuronal dysregulation, which may be relevant for the understanding of ScZ as a disorder of disinhibition of neural circuits.
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Affiliation(s)
- Davide Rivolta
- Department of Neurophysiology, Max Planck Institute for Brain Research, Frankfurt am Main, Germany;,Ernst Strüngmann Institute for Neuroscience (ESI) in cooperation with Max Planck Society (ESI), Frankfurt am Main, Germany;,School of Psychology, University of East London (UEL), London, UK
| | - Tonio Heidegger
- Department of Neurology, Goethe University, Frankfurt am Main, Germany
| | - Bertram Scheller
- Clinic for Anesthesia, Intensive Care Medicine and Pain Therapy, Johann Wolfgang Goethe UniversityFrankfurt am Main, Germany
| | - Andreas Sauer
- Department of Neurophysiology, Max Planck Institute for Brain Research, Frankfurt am Main, Germany;,Ernst Strüngmann Institute for Neuroscience (ESI) in cooperation with Max Planck Society (ESI), Frankfurt am Main, Germany
| | | | - Katharina Birkner
- Department of Neurophysiology, Max Planck Institute for Brain Research, Frankfurt am Main, Germany;,Ernst Strüngmann Institute for Neuroscience (ESI) in cooperation with Max Planck Society (ESI), Frankfurt am Main, Germany
| | - Wolf Singer
- Department of Neurophysiology, Max Planck Institute for Brain Research, Frankfurt am Main, Germany;,Ernst Strüngmann Institute for Neuroscience (ESI) in cooperation with Max Planck Society (ESI), Frankfurt am Main, Germany;,Frankfurt Institute for Advanced Studies (FIAS), Frankfurt am Main, Germany
| | | | - Peter J. Uhlhaas
- Department of Neurophysiology, Max Planck Institute for Brain Research, Frankfurt am Main, Germany;,Ernst Strüngmann Institute for Neuroscience (ESI) in cooperation with Max Planck Society (ESI), Frankfurt am Main, Germany;,Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK,*To whom correspondence should be addressed; Institute of Neuroscience and Psychology, University of Glasgow, Hillead Street 58, Glasgow, G12 8QB, UK; tel: 44-141-330-8730, fax: 44-141-330-8730, e-mail:
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Javitt DC. Meeting overview: Sensory perception and schizophrenia, Lausanne, Switzerland June 31-July 1, 2014. SCHIZOPHRENIA RESEARCH-COGNITION 2015; 2:42-45. [PMID: 29114453 PMCID: PMC5609646 DOI: 10.1016/j.scog.2015.04.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/31/2014] [Accepted: 04/20/2015] [Indexed: 11/07/2022]
Abstract
Schizophrenia is increasingly being viewed as a “whole brain” disorder with deficits affecting widespread cortical and subcortical networks. Within this context, studies of visual cortical function may be particularly important both because visual processing deficits directly affect social and occupational function and because these systems are well characterized at the basic science level, permitting informative translational research. This article summarizes a conference on visual processing dysfunction in schizophrenia held in Lausanne, Switzerland from June 30 to July 1, 2014 and introduces this special issue. Speakers focused on multiple aspects of visual dysfunction in schizophrenia using behavioral, neurophysiological and fMRI-based approaches. Four main themes emerged. First was a focus on response disturbances within the early visual system, using paradigms such as sensory EEG and MEG-based responses. Second, behavioral deficits were noted in processing related to local interaction within visual regions, using paradigms such as Vernier acuity or contour integration. These deficits provided potential model systems to understand impaired connectivity within the brain in schizophrenia more generally. Third, several visual measures were found to correlate highly with symptoms and/or neurocognitive processing. Deficits in contour integration, for example, correlated highly with conceptual disorganization, whereas perceptual instability correlated with delusion formation. These findings highlight links between perceptual-level disturbance and clinical manifestation. Finally, the potential involvement of specific neurotransmitter receptors, including N-methyl-D-aspartate (NMDA)-type glutamate receptors and alpha7 nicotinic receptors were discussed as potential etiological mechanisms. Overall, the meeting highlighted the contributions of visual pathway dysfunction to the etiopathogenesis of neurocognitive dysfunction in schizophrenia.
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Affiliation(s)
- Daniel C Javitt
- Division of Experimental Therapeutics Columbia University Medical Center, Schizophrenia Research Nathan Kline Institute for Psychiatric Research, 1051 Riverside Drive, Unit 21, New York, NY 10032 USA
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Rivolta D, Woolgar A, Palermo R, Butko M, Schmalzl L, Williams MA. Multi-voxel pattern analysis (MVPA) reveals abnormal fMRI activity in both the "core" and "extended" face network in congenital prosopagnosia. Front Hum Neurosci 2014; 8:925. [PMID: 25431556 PMCID: PMC4230164 DOI: 10.3389/fnhum.2014.00925] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2014] [Accepted: 10/30/2014] [Indexed: 11/13/2022] Open
Abstract
The ability to identify faces is mediated by a network of cortical and subcortical brain regions in humans. It is still a matter of debate which regions represent the functional substrate of congenital prosopagnosia (CP), a condition characterized by a lifelong impairment in face recognition, and affecting around 2.5% of the general population. Here, we used functional Magnetic Resonance Imaging (fMRI) to measure neural responses to faces, objects, bodies, and body-parts in a group of seven CPs and ten healthy control participants. Using multi-voxel pattern analysis (MVPA) of the fMRI data we demonstrate that neural activity within the “core” (i.e., occipital face area and fusiform face area) and “extended” (i.e., anterior temporal cortex) face regions in CPs showed reduced discriminability between faces and objects. Reduced differentiation between faces and objects in CP was also seen in the right parahippocampal cortex. In contrast, discriminability between faces and bodies/body-parts and objects and bodies/body-parts across the ventral visual system was typical in CPs. In addition to MVPA analysis, we also ran traditional mass-univariate analysis, which failed to show any group differences in face and object discriminability. In sum, these findings demonstrate (i) face-object representations impairments in CP which encompass both the “core” and “extended” face regions, and (ii) superior power of MVPA in detecting group differences.
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Affiliation(s)
- Davide Rivolta
- School of Psychology, University of East London London, UK ; Perception in Action Research Centre, and ARC Centre of Excellence in Cognition and its Disorders, Department of Cognitive Science, Faculty of Human Sciences, Macquarie University Sydney, NSW, Australia
| | - Alexandra Woolgar
- Perception in Action Research Centre, and ARC Centre of Excellence in Cognition and its Disorders, Department of Cognitive Science, Faculty of Human Sciences, Macquarie University Sydney, NSW, Australia
| | - Romina Palermo
- School of Psychology, and ARC Centre of Excellence in Cognition and its Disorders, University of Western Australia Crawley, WA, Australia
| | - Marina Butko
- Perception in Action Research Centre, and ARC Centre of Excellence in Cognition and its Disorders, Department of Cognitive Science, Faculty of Human Sciences, Macquarie University Sydney, NSW, Australia
| | - Laura Schmalzl
- Department of Family and Preventive Medicine, University of California San Diego La Jolla, CA, USA
| | - Mark A Williams
- Perception in Action Research Centre, and ARC Centre of Excellence in Cognition and its Disorders, Department of Cognitive Science, Faculty of Human Sciences, Macquarie University Sydney, NSW, Australia
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Liccione D, Moruzzi S, Rossi F, Manganaro A, Porta M, Nugrahaningsih N, Caserio V, Allegri N. Familiarity is not notoriety: phenomenological accounts of face recognition. Front Hum Neurosci 2014; 8:672. [PMID: 25225476 PMCID: PMC4150445 DOI: 10.3389/fnhum.2014.00672] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2014] [Accepted: 08/12/2014] [Indexed: 11/30/2022] Open
Abstract
From a phenomenological perspective, faces are perceived differently from objects as their perception always involves the possibility of a relational engagement (Bredlau, 2011). This is especially true for familiar faces, i.e., faces of people with a history of real relational engagements. Similarly, valence of emotional expressions assumes a key role, as they define the sense and direction of this engagement. Following these premises, the aim of the present study is to demonstrate that face recognition is facilitated by at least two variables, familiarity and emotional expression, and that perception of familiar faces is not influenced by orientation. In order to verify this hypothesis, we implemented a 3 × 3 × 2 factorial design, showing 17 healthy subjects three type of faces (unfamiliar, personally familiar, famous) characterized by three different emotional expressions (happy, hungry/sad, neutral) and in two different orientation (upright vs. inverted). We showed every subject a total of 180 faces with the instructions to give a familiarity judgment. Reaction times (RTs) were recorded and we found that the recognition of a face is facilitated by personal familiarity and emotional expression, and that this process is otherwise independent from a cognitive elaboration of stimuli and remains stable despite orientation. These results highlight the need to make a distinction between famous and personally familiar faces when studying face perception and to consider its historical aspects from a phenomenological point of view.
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Affiliation(s)
- Davide Liccione
- Lombard School of Psychotherapy Pavia, Italy ; Department of Brain and Behavioral Sciences, University of Pavia Pavia, Italy
| | - Sara Moruzzi
- Lombard School of Psychotherapy Pavia, Italy ; Department of Brain and Behavioral Sciences, University of Pavia Pavia, Italy
| | - Federica Rossi
- Lombard School of Psychotherapy Pavia, Italy ; Nursing Home De Rodolfi Vigevano, Pavia, Italy
| | | | - Marco Porta
- Department of Engineering, University of Pavia Pavia, Italy
| | | | | | - Nicola Allegri
- Lombard School of Psychotherapy Pavia, Italy ; Department of Brain and Behavioral Sciences, University of Pavia Pavia, Italy
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Vakli P, Németh K, Zimmer M, Schweinberger SR, Kovács G. Altering second-order configurations reduces the adaptation effects on early face-sensitive event-related potential components. Front Hum Neurosci 2014; 8:426. [PMID: 24971058 PMCID: PMC4054655 DOI: 10.3389/fnhum.2014.00426] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2014] [Accepted: 05/28/2014] [Indexed: 12/03/2022] Open
Abstract
The spatial distances among the features of a face are commonly referred to as second-order relations, and the coding of these properties is often regarded as a cornerstone in face recognition. Previous studies have provided mixed results regarding whether the N170, a face-sensitive component of the event-related potential, is sensitive to second-order relations. Here we investigated this issue in a gender discrimination paradigm following long-term (5 s) adaptation to normal or vertically stretched male and female faces, considering that the latter manipulation substantially alters the position of the inner facial features. Gender-ambiguous faces were more likely judged to be female following adaptation to a male face and vice versa. This aftereffect was smaller but statistically significant after being adapted to vertically stretched when compared to unstretched adapters. Event-related potential recordings revealed that adaptation effects measured on the amplitude of the N170 show strong modulations by the second-order relations of the adapter: reduced N170 amplitude was observed, however, this reduction was smaller in magnitude after being adapted to stretched when compared to unstretched faces. These findings suggest early face-processing, as reflected in the N170 component, proceeds by extracting the spatial relations of inner facial features.
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Affiliation(s)
- Pál Vakli
- Department of Cognitive Science, Budapest University of Technology and Economics Budapest, Hungary
| | - Kornél Németh
- Department of Cognitive Science, Budapest University of Technology and Economics Budapest, Hungary
| | - Márta Zimmer
- Department of Cognitive Science, Budapest University of Technology and Economics Budapest, Hungary
| | - Stefan R Schweinberger
- Institute of Psychology, Friedrich Schiller University of Jena Jena, Germany ; DFG Research Unit Person Perception, Friedrich Schiller University of Jena Jena, Germany
| | - Gyula Kovács
- Department of Cognitive Science, Budapest University of Technology and Economics Budapest, Hungary ; Institute of Psychology, Friedrich Schiller University of Jena Jena, Germany ; DFG Research Unit Person Perception, Friedrich Schiller University of Jena Jena, Germany
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