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Shi C, Xin X, Zhang J. A novel multigranularity feature-selection method based on neighborhood mutual information and its application in autistic patient identification. Biomed Signal Process Control 2022. [DOI: 10.1016/j.bspc.2022.103887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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2
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Marinello WP, Gillera SEA, Fanning MJ, Malinsky LB, Rhodes CL, Horman BM, Patisaul HB. Effects of developmental exposure to FireMaster® 550 (FM 550) on microglia density, reactivity and morphology in a prosocial animal model. Neurotoxicology 2022; 91:140-154. [PMID: 35526706 DOI: 10.1016/j.neuro.2022.04.015] [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: 02/01/2022] [Revised: 04/29/2022] [Accepted: 04/29/2022] [Indexed: 11/20/2022]
Abstract
Microglia are known to shape brain sex differences critical for social and reproductive behaviors. Chemical exposures can disrupt brain sexual differentiation but there is limited data regarding how they may impact microglia distribution and function. We focused on the prevalent flame retardant mixture Firemaster 550 (FM 550) which is used in foam-based furniture and infant products including strollers and nursing pillows because it disrupts sexually dimorphic behaviors. We hypothesized early life FM 550 exposure would disrupt microglial distribution and reactivity in brain regions known to be highly sexually dimorphic or associated with social disorders in humans. We used prairie voles (Microtus ochrogaster) because they display spontaneous prosocial behaviors not seen in rats or mice and are thus a powerful model for studying chemical exposure-related impacts on social behaviors and their underlying neural systems. We have previously demonstrated that perinatal FM 550 exposure sex-specifically impacts socioemotional behaviors in prairie voles. We first established that, unlike in rats, the postnatal colonization of the prairie vole brain is not sexually dimorphic. Vole dams were then exposed to FM 550 (0, 500, 1000, 2000 µg/day) via subcutaneous injections through gestation, and pups were directly exposed beginning the day after birth until weaning. Adult offspring's brains were assessed for number and type (ramified, intermediate, ameboid) of microglia in the medial prefrontal cortex (mPFC), cerebellum (lobules VI-VII) and amygdala. Effects were sex- and dose-specific in the regions of interests. Overall, FM 550 exposure resulted in reduced numbers of microglia in most regions examined, with the 1000 µg FM 550 exposed males particularly affected. To further quantify differences in microglia morphology in the 1000 µg FM 550 group, Sholl and skeleton analysis were carried out on individual microglia. Microglia from control females had a more ramified phenotype compared to control males while 1000 µg FM 550-exposed males had decreased branching and ramification compared to same-sex controls. Future studies will examine the impact on the exposure to FM 550 on microglia during development given the critical role of these cells in shaping neural circuits.
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Affiliation(s)
- William P Marinello
- Department of Biological Sciences, NC State University, Raleigh, NC 27695, USA
| | | | - Marley J Fanning
- Department of Biological Sciences, NC State University, Raleigh, NC 27695, USA
| | - Lacey B Malinsky
- Department of Biological Sciences, NC State University, Raleigh, NC 27695, USA
| | - Cassie L Rhodes
- Department of Biological Sciences, NC State University, Raleigh, NC 27695, USA
| | - Brian M Horman
- Department of Biological Sciences, NC State University, Raleigh, NC 27695, USA
| | - Heather B Patisaul
- Department of Biological Sciences, NC State University, Raleigh, NC 27695, USA; Center for Human Health and the Environment, NC State University, Raleigh, NC 27695, USA.
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3
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Attenuated link between the medial prefrontal cortex and the amygdala in children with autism spectrum disorder: Evidence from effective connectivity within the "social brain". Prog Neuropsychopharmacol Biol Psychiatry 2021; 111:110147. [PMID: 33096157 DOI: 10.1016/j.pnpbp.2020.110147] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 09/21/2020] [Accepted: 10/16/2020] [Indexed: 01/27/2023]
Abstract
Although accumulating neuroimaging studies have reported that social behavior deficits in children with autism spectrum disorders (ASD) are commonly attributed to the dysfunction of social brain regions underlying social cognition, the dynamic interaction within the social brain network and its association with social deficits remain unclear. Here, resting-state functional magnetic resonance imaging data obtained from Autism Brain Imaging Data Exchange (I and II) were analyzed in 105 children with ASD and 102 demographically matched typically developing controls (TDCs) (age range: 7-12 years old). Term-based meta-analysis combined the prior reference and anatomical labeling were used to define the regions of interests of the social brain network, and multivariate Granger causality analysis with blind deconvolution was employed to assess the effective connectivity within the social brain network in the ASD and TDC groups. Between-group comparison revealed significantly attenuated effective connectivity from the medial prefrontal cortex (mPFC) to the bilateral amygdala in children with the ASD group compared with TDC group. In addition, raw values of the effective connectivity from the mPFC to the bilateral amygdala were used to predict social deficits in ASD. Our findings indicate the impaired mPFC-amygdala pathway and its association with social deficits in children with ASD and provide a new perspective into the neuropathology of the developing autistic brain.
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4
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The default mode network in cognition: a topographical perspective. Nat Rev Neurosci 2021; 22:503-513. [PMID: 34226715 DOI: 10.1038/s41583-021-00474-4] [Citation(s) in RCA: 297] [Impact Index Per Article: 99.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/20/2021] [Indexed: 02/06/2023]
Abstract
The default mode network (DMN) is a set of widely distributed brain regions in the parietal, temporal and frontal cortex. These regions often show reductions in activity during attention-demanding tasks but increase their activity across multiple forms of complex cognition, many of which are linked to memory or abstract thought. Within the cortex, the DMN has been shown to be located in regions furthest away from those contributing to sensory and motor systems. Here, we consider how our knowledge of the topographic characteristics of the DMN can be leveraged to better understand how this network contributes to cognition and behaviour.
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Arioli M, Cattaneo Z, Ricciardi E, Canessa N. Overlapping and specific neural correlates for empathizing, affective mentalizing, and cognitive mentalizing: A coordinate-based meta-analytic study. Hum Brain Mapp 2021; 42:4777-4804. [PMID: 34322943 PMCID: PMC8410528 DOI: 10.1002/hbm.25570] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 05/10/2021] [Accepted: 06/15/2021] [Indexed: 01/10/2023] Open
Abstract
While the discussion on the foundations of social understanding mainly revolves around the notions of empathy, affective mentalizing, and cognitive mentalizing, their degree of overlap versus specificity is still unclear. We took a meta-analytic approach to unveil the neural bases of cognitive mentalizing, affective mentalizing, and empathy, both in healthy individuals and pathological conditions characterized by social deficits such as schizophrenia and autism. We observed partially overlapping networks for cognitive and affective mentalizing in the medial prefrontal, posterior cingulate, and lateral temporal cortex, while empathy mainly engaged fronto-insular, somatosensory, and anterior cingulate cortex. Adjacent process-specific regions in the posterior lateral temporal, ventrolateral, and dorsomedial prefrontal cortex might underpin a transition from abstract representations of cognitive mental states detached from sensory facets to emotionally-charged representations of affective mental states. Altered mentalizing-related activity involved distinct sectors of the posterior lateral temporal cortex in schizophrenia and autism, while only the latter group displayed abnormal empathy related activity in the amygdala. These data might inform the design of rehabilitative treatments for social cognitive deficits.
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Affiliation(s)
- Maria Arioli
- Department of Psychology, University of Milano-Bicocca, Milan, Italy
| | - Zaira Cattaneo
- Department of Psychology, University of Milano-Bicocca, Milan, Italy.,IRCCS Mondino Foundation, Pavia, Italy
| | | | - Nicola Canessa
- ICoN center, Scuola Universitaria Superiore IUSS, Pavia, Italy.,Istituti Clinici Scientifici Maugeri IRCCS, Cognitive Neuroscience Laboratory of Pavia Institute, Pavia, Italy
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6
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Functional brain abnormalities associated with comorbid anxiety in autism spectrum disorder. Dev Psychopathol 2021; 32:1273-1286. [PMID: 33161905 DOI: 10.1017/s0954579420000772] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Anxiety disorders are common in autism spectrum disorder (ASD) and associated with social-communication impairment and repetitive behavior symptoms. The neurobiology of anxiety in ASD is unknown, but amygdala dysfunction has been implicated in both ASD and anxiety disorders. Using resting-state functional magnetic resonance imaging, we compared amygdala-prefrontal and amygdala-striatal connections across three demographically matched groups studied in the Autism Brain Imaging Data Exchange (ABIDE): ASD with a comorbid anxiety disorder (N = 25; ASD + Anxiety), ASD without a comorbid disorder (N = 68; ASD-NoAnx), and typically developing controls (N = 139; TD). Relative to ASD-NoAnx and TD controls, ASD + Anxiety individuals had decreased connectivity between the amygdala and dorsal/rostral anterior cingulate cortex (dACC/rACC). The functional connectivity of these connections was not affected in ASD-NoAnx, and amygdala connectivity with ventral ACC/medial prefrontal cortex (mPFC) circuits was not different in ASD + Anxiety or ASD-NoAnx relative to TD. Decreased amygdala-dorsomedial prefrontal cortex (dmPFC)/rACC connectivity was associated with more severe social impairment in ASD + Anxiety; amygdala-striatal connectivity was associated with restricted, repetitive behavior (RRB) symptom severity in ASD-NoAnx individuals. These findings suggest comorbid anxiety in ASD is associated with disrupted emotion-monitoring processes supported by amygdala-dACC/mPFC pathways, whereas emotion regulation systems involving amygdala-ventromedial prefrontal cortex (vmPFC) are relatively spared. Our results highlight the importance of accounting for comorbid anxiety for parsing ASD neurobiological heterogeneity.
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7
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Artificial bee colony clustering with self-adaptive crossover and stepwise search for brain functional parcellation in fMRI data. Soft comput 2019. [DOI: 10.1007/s00500-018-3467-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Lake EMR, Finn ES, Noble SM, Vanderwal T, Shen X, Rosenberg MD, Spann MN, Chun MM, Scheinost D, Constable RT. The Functional Brain Organization of an Individual Allows Prediction of Measures of Social Abilities Transdiagnostically in Autism and Attention-Deficit/Hyperactivity Disorder. Biol Psychiatry 2019; 86:315-326. [PMID: 31010580 PMCID: PMC7311928 DOI: 10.1016/j.biopsych.2019.02.019] [Citation(s) in RCA: 67] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Revised: 02/01/2019] [Accepted: 02/02/2019] [Indexed: 12/17/2022]
Abstract
BACKGROUND Autism spectrum disorder and attention-deficit/hyperactivity disorder (ADHD) are associated with complex changes as revealed by functional magnetic resonance imaging. To date, neuroimaging-based models are not able to characterize individuals with sufficient sensitivity and specificity. Further, although evidence shows that ADHD traits occur in individuals with autism spectrum disorder, and autism spectrum disorder traits in individuals with ADHD, the neurofunctional basis of the overlap is undefined. METHODS Using individuals from the Autism Brain Imaging Data Exchange and ADHD-200, we apply a data-driven, subject-level approach, connectome-based predictive modeling, to resting-state functional magnetic resonance imaging data to identify brain-behavior associations that are predictive of symptom severity. We examine cross-diagnostic commonalities and differences. RESULTS Using leave-one-subject-out and split-half analyses, we define networks that predict Social Responsiveness Scale, Autism Diagnostic Observation Schedule, and ADHD Rating Scale scores and confirm that these networks generalize to novel subjects. Networks share minimal overlap of edges (<2%) but some common regions of high hubness (Brodmann areas 10, 11, and 21, cerebellum, and thalamus). Further, predicted Social Responsiveness Scale scores for individuals with ADHD are linked to ADHD symptoms, supporting the hypothesis that brain organization relevant to autism spectrum disorder severity shares a component associated with attention in ADHD. Predictive connections and high-hubness regions are found within a wide range of brain areas and across conventional networks. CONCLUSIONS An individual's functional connectivity profile contains information that supports dimensional, nonbinary classification in autism spectrum disorder and ADHD. Furthermore, we can determine disorder-specific and shared neurofunctional pathology using our method.
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Affiliation(s)
- Evelyn M R Lake
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, Yale University, New Haven, Connecticut.
| | - Emily S Finn
- Section on Functional Imaging Methods, National Institute of Mental Health, Bethesda, Maryland
| | - Stephanie M Noble
- Interdepartmental Neuroscience Program, Yale School of Medicine, Yale University, New Haven, Connecticut
| | - Tamara Vanderwal
- Yale Child Study Center, Yale School of Medicine, Yale University, New Haven, Connecticut
| | - Xilin Shen
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, Yale University, New Haven, Connecticut
| | - Monica D Rosenberg
- Department of Psychology, Yale School of Medicine, Yale University, New Haven, Connecticut; Department of Psychology, University of Chicago, Chicago, Illinois
| | - Marisa N Spann
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, New York
| | - Marvin M Chun
- Interdepartmental Neuroscience Program, Yale School of Medicine, Yale University, New Haven, Connecticut; Department of Psychology, Yale School of Medicine, Yale University, New Haven, Connecticut; Department of Neurobiology, Yale School of Medicine, Yale University, New Haven, Connecticut
| | - Dustin Scheinost
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, Yale University, New Haven, Connecticut
| | - R Todd Constable
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, Yale University, New Haven, Connecticut; Interdepartmental Neuroscience Program, Yale School of Medicine, Yale University, New Haven, Connecticut; Department of Neurosurgery, Yale School of Medicine, Yale University, New Haven, Connecticut
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9
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Holiga Š, Hipp JF, Chatham CH, Garces P, Spooren W, D’Ardhuy XL, Bertolino A, Bouquet C, Buitelaar JK, Bours C, Rausch A, Oldehinkel M, Bouvard M, Amestoy A, Caralp M, Gueguen S, Ly-Le Moal M, Houenou J, Beckmann CF, Loth E, Murphy D, Charman T, Tillmann J, Laidi C, Delorme R, Beggiato A, Gaman A, Scheid I, Leboyer M, d’Albis MA, Sevigny J, Czech C, Bolognani F, Honey GD, Dukart J. Patients with autism spectrum disorders display reproducible functional connectivity alterations. Sci Transl Med 2019. [DOI: 10.1126/scitranslmed.aat9223 order by 39635--] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Affiliation(s)
- Štefan Holiga
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann–La Roche Ltd., Grenzacherstrasse 124, 4070 Basel, Switzerland
| | - Joerg F. Hipp
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann–La Roche Ltd., Grenzacherstrasse 124, 4070 Basel, Switzerland
| | - Christopher H. Chatham
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann–La Roche Ltd., Grenzacherstrasse 124, 4070 Basel, Switzerland
| | - Pilar Garces
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann–La Roche Ltd., Grenzacherstrasse 124, 4070 Basel, Switzerland
| | - Will Spooren
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann–La Roche Ltd., Grenzacherstrasse 124, 4070 Basel, Switzerland
| | - Xavier Liogier D’Ardhuy
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann–La Roche Ltd., Grenzacherstrasse 124, 4070 Basel, Switzerland
| | - Alessandro Bertolino
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann–La Roche Ltd., Grenzacherstrasse 124, 4070 Basel, Switzerland
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari ‘Aldo Moro’, 70121 Bari, Italy
| | - Céline Bouquet
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann–La Roche Ltd., Grenzacherstrasse 124, 4070 Basel, Switzerland
| | - Jan K. Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University Nijmegen Medical center, Nijmegen 6525 EN, Netherlands
| | - Carsten Bours
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University Nijmegen Medical center, Nijmegen 6525 EN, Netherlands
| | - Annika Rausch
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University Nijmegen Medical center, Nijmegen 6525 EN, Netherlands
| | - Marianne Oldehinkel
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University Nijmegen Medical center, Nijmegen 6525 EN, Netherlands
- Brain & Mental Health Laboratory, Monash Institute of Cognitive and Clinical Neurosciences and School of Psychological Sciences, Monash University, Clayton, VIC 3800, Australia
| | - Manuel Bouvard
- Pôle Universitaire de Psychiatrie de l'Enfant et de l'Adolescent, Hôpital Charles Perrens Bordeaux, 33076 Bordeaux, France
| | - Anouck Amestoy
- Pôle Universitaire de Psychiatrie de l'Enfant et de l'Adolescent, Hôpital Charles Perrens Bordeaux, 33076 Bordeaux, France
| | - Mireille Caralp
- INSERM, National Biobank Infrastructure, 75013 Paris, France
| | - Sonia Gueguen
- INSERM, Clinical Research Department, 75014 Paris, France
| | | | - Josselin Houenou
- Hôpitaux Universitaires Mondor, DHU PePSY, Pôle de psychiatrie, Faculté de Médecine, Université Paris Est, INSERM U955, IMRB, Equipe 15, Psychiatrie Translationnelle, Fondation FondaMental, 94000 Créteil, France
- NeuroSpin, UNIACT Lab, Psychiatry Team, CEA Saclay, 91191 Gif-Sur-Yvette, France
| | - Christian F. Beckmann
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University Nijmegen Medical center, Nijmegen 6525 EN, Netherlands
| | - Eva Loth
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK
| | - Declan Murphy
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK
| | - Tony Charman
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK
| | - Julian Tillmann
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK
- Department of Applied Psychology: Health, Development, Enhancement, and Intervention, University of Vienna, 1010 Vienna, Austria
| | - Charles Laidi
- Hôpitaux Universitaires Mondor, DHU PePSY, Pôle de psychiatrie, Faculté de Médecine, Université Paris Est, INSERM U955, IMRB, Equipe 15, Psychiatrie Translationnelle, Fondation FondaMental, 94000 Créteil, France
| | - Richard Delorme
- APHP, Robert Debré Hospital, Child and Adolescent Psychiatry Department, Paris, France
- Pasteur Institute, 75019 Paris, France
| | - Anita Beggiato
- APHP, Robert Debré Hospital, Child and Adolescent Psychiatry Department, Paris, France
- Pasteur Institute, 75019 Paris, France
| | - Alexandru Gaman
- Hôpitaux Universitaires Mondor, DHU PePSY, Pôle de psychiatrie, Faculté de Médecine, Université Paris Est, INSERM U955, IMRB, Equipe 15, Psychiatrie Translationnelle, Fondation FondaMental, 94000 Créteil, France
| | - Isabelle Scheid
- Hôpitaux Universitaires Mondor, DHU PePSY, Pôle de psychiatrie, Faculté de Médecine, Université Paris Est, INSERM U955, IMRB, Equipe 15, Psychiatrie Translationnelle, Fondation FondaMental, 94000 Créteil, France
| | - Marion Leboyer
- Hôpitaux Universitaires Mondor, DHU PePSY, Pôle de psychiatrie, Faculté de Médecine, Université Paris Est, INSERM U955, IMRB, Equipe 15, Psychiatrie Translationnelle, Fondation FondaMental, 94000 Créteil, France
| | - Marc-Antoine d’Albis
- Hôpitaux Universitaires Mondor, DHU PePSY, Pôle de psychiatrie, Faculté de Médecine, Université Paris Est, INSERM U955, IMRB, Equipe 15, Psychiatrie Translationnelle, Fondation FondaMental, 94000 Créteil, France
- NeuroSpin, UNIACT Lab, Psychiatry Team, CEA Saclay, 91191 Gif-Sur-Yvette, France
| | - Jeff Sevigny
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann–La Roche Ltd., Grenzacherstrasse 124, 4070 Basel, Switzerland
| | - Christian Czech
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann–La Roche Ltd., Grenzacherstrasse 124, 4070 Basel, Switzerland
| | - Federico Bolognani
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann–La Roche Ltd., Grenzacherstrasse 124, 4070 Basel, Switzerland
- Therachon AG, Aeschenvorstadt 36, 4051 Basel, Switzerland
| | - Garry D. Honey
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann–La Roche Ltd., Grenzacherstrasse 124, 4070 Basel, Switzerland
| | - Juergen Dukart
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann–La Roche Ltd., Grenzacherstrasse 124, 4070 Basel, Switzerland
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, 52428 Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, 40223 Düsseldorf, Germany
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10
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Holiga Š, Hipp JF, Chatham CH, Garces P, Spooren W, D’Ardhuy XL, Bertolino A, Bouquet C, Buitelaar JK, Bours C, Rausch A, Oldehinkel M, Bouvard M, Amestoy A, Caralp M, Gueguen S, Ly-Le Moal M, Houenou J, Beckmann CF, Loth E, Murphy D, Charman T, Tillmann J, Laidi C, Delorme R, Beggiato A, Gaman A, Scheid I, Leboyer M, d’Albis MA, Sevigny J, Czech C, Bolognani F, Honey GD, Dukart J. Patients with autism spectrum disorders display reproducible functional connectivity alterations. Sci Transl Med 2019; 11:11/481/eaat9223. [DOI: 10.1126/scitranslmed.aat9223] [Citation(s) in RCA: 80] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2018] [Revised: 11/22/2018] [Accepted: 02/05/2019] [Indexed: 01/16/2023]
Abstract
Despite the high clinical burden, little is known about pathophysiology underlying autism spectrum disorder (ASD). Recent resting-state functional magnetic resonance imaging (rs-fMRI) studies have found atypical synchronization of brain activity in ASD. However, no consensus has been reached on the nature and clinical relevance of these alterations. Here, we addressed these questions in four large ASD cohorts. Using rs-fMRI, we identified functional connectivity alterations associated with ASD. We tested for associations of these imaging phenotypes with clinical and demographic factors such as age, sex, medication status, and clinical symptom severity. Our results showed reproducible patterns of ASD-associated functional hyper- and hypoconnectivity. Hypoconnectivity was primarily restricted to sensory-motor regions, whereas hyperconnectivity hubs were predominately located in prefrontal and parietal cortices. Shifts in cortico-cortical between-network connectivity from outside to within the identified regions were shown to be a key driver of these abnormalities. This reproducible pathophysiological phenotype was partially associated with core ASD symptoms related to communication and daily living skills and was not affected by age, sex, or medication status. Although the large effect sizes in standardized cohorts are encouraging with respect to potential application as a treatment and for patient stratification, the moderate link to clinical symptoms and the large overlap with healthy controls currently limit the usability of identified alterations as diagnostic or efficacy readout.
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11
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A Protective Mechanism against Illusory Perceptions Is Amygdala-Dependent. J Neurosci 2019; 39:3301-3308. [PMID: 30804094 DOI: 10.1523/jneurosci.2577-18.2019] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2018] [Revised: 01/17/2019] [Accepted: 02/08/2019] [Indexed: 11/21/2022] Open
Abstract
Most people have a clear sense of body ownership, preserving them from physical harm. However, perceptual body illusions - famously the rubber hand illusion (RHI) - can be elicited experimentally in healthy individuals. We hypothesize that the amygdala, a core component of neural circuits of threat processing, is involved in protective mechanisms against disturbed body perceptions. To test this hypothesis, we started by investigating two monozygotic human twin sisters with focal bilateral amygdala damage due to Urbach-Wiethe disease. Relative to 20 healthy women, the twins exhibited, on two occasions 1 year apart, augmented RHI responses in form of faster illusion onset and increased vividness ratings. Following up on these findings, we conducted a volumetric brain morphometry study involving an independent, gender-mixed sample of 57 healthy human volunteers (36 female, 21 male). Our results revealed a positive correlation between amygdala volume and RHI onset, i.e., the smaller the amygdala, the less time it took the RHI to emerge. This raised the question of whether a similar phenotype would result from experimental amygdala inhibition. To dampen amygdala reactivity, we intranasally administered the peptide hormone oxytocin to the same 57 individuals in a randomized trial before conducting the RHI. Compared with placebo, oxytocin treatment yielded enhanced RHI responses, again evident in accelerated illusion onset and increased vividness ratings. Together, the present series of experiments provides converging evidence for the amygdala's unprecedented role in reducing susceptibility to the RHI, thus protecting the organism from the potentially fatal threats of a distorted bodily self.SIGNIFICANCE STATEMENT Compelling evidence indicates that the amygdala is of vital importance for danger detection and fear processing. However, lethal threats can arise not only from menacing external stimuli but also from distortions in bodily self-perception. Intriguingly, the amygdala's modulatory role in such illusory body perceptions is still elusive. To probe the amygdala's involvement in illusory body experiences, we conducted a multi-methodological series of experiments in a rare human amygdala lesion model, complemented by a morphological and pharmaco-modulatory experiment in healthy volunteers. Our findings convergently suggest that the amygdala's integrity is indispensable for maintaining an unbiased, precise perception of our bodily self. Hence, the amygdala might shield us against distortions in self-perception and the resultant loss of behavioral control of our organism.
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12
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Iidaka T, Kogata T, Mano Y, Komeda H. Thalamocortical Hyperconnectivity and Amygdala-Cortical Hypoconnectivity in Male Patients With Autism Spectrum Disorder. Front Psychiatry 2019; 10:252. [PMID: 31057443 PMCID: PMC6482335 DOI: 10.3389/fpsyt.2019.00252] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Accepted: 04/02/2019] [Indexed: 01/06/2023] Open
Abstract
Background: Analyses of resting-state functional magnetic resonance imaging (rs-fMRI) have been performed to investigate pathophysiological changes in the brains of patients with autism spectrum disorder (ASD) relative to typically developing controls (CTLs). However, the results of these previous studies, which have reported mixed patterns of hypo- and hyperconnectivity, are controversial, likely due to the small sample sizes and limited age range of included participants. Methods: To overcome this issue, we analyzed multisite neuroimaging data from a large sample (n = 626) of male participants aged between 5 and 29 years (mean age = 13 years). The rs-fMRI data were preprocessed using SPM12 and DPARSF software, and signal changes in 90 brain regions were extracted. Multiple linear regression was used to exclude the effect of site differences in connectivity data. Subcortical-cortical connectivity was computed using connectivities in the hippocampus, amygdala, caudate nucleus, putamen, pallidum, and thalamus. Eighty-eight connectivities in each structure were compared between patients with ASD and CTLs using multiple linear regression with group, age, and age × group interactions, head movement parameters, and overall connectivity as variables. Results: After correcting for multiple comparisons, patients in the ASD group exhibited significant increases in connectivity between the thalamus and 19 cortical regions distributed throughout the fronto-parietal lobes, including the temporo-parietal junction and posterior cingulate cortices. In addition, there were significant decreases in connectivity between the amygdala and six cortical regions. The mean effect size of hyperconnectivity (0.25) was greater than that for hypoconnectivity (0.08). No other subcortical structures showed significant group differences. A group-by-age interaction was observed for connectivity between the thalamus and motor-somatosensory areas. Conclusions: These results demonstrate that pathophysiological changes associated with ASD are more likely related to thalamocortical hyperconnectivity than to amygdala-cortical hypoconnectivity. Future studies should examine full sets of clinical and behavioral symptoms in combination with functional connectivity to explore possible biomarkers for ASD.
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Affiliation(s)
- Tetsuya Iidaka
- Brain & Mind Research Center, Nagoya University, Nagoya, Japan.,Department of Physical and Occupational Therapy, Graduate School of Medicine, Nagoya University, Nagoya, Japan
| | - Tomohiro Kogata
- Department of Physical and Occupational Therapy, Graduate School of Medicine, Nagoya University, Nagoya, Japan
| | - Yoko Mano
- Department of Physical and Occupational Therapy, Graduate School of Medicine, Nagoya University, Nagoya, Japan
| | - Hidetsugu Komeda
- Department of Education, Psychology, and Human Studies, Aoyama Gakuin University, Tokyo, Japan
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13
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Odriozola P, Dajani DR, Burrows CA, Gabard-Durnam LJ, Goodman E, Baez AC, Tottenham N, Uddin LQ, Gee DG. Atypical frontoamygdala functional connectivity in youth with autism. Dev Cogn Neurosci 2018; 37:100603. [PMID: 30581125 PMCID: PMC6570504 DOI: 10.1016/j.dcn.2018.12.001] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Revised: 11/11/2018] [Accepted: 12/05/2018] [Indexed: 01/26/2023] Open
Abstract
Functional connectivity (FC) between the amygdala and the ventromedial prefrontal cortex underlies socioemotional functioning, a core domain of impairment in autism spectrum disorder (ASD). Although frontoamygdala circuitry undergoes dynamic changes throughout development, little is known about age-related changes in frontoamygdala networks in ASD. Here we characterize frontoamygdala resting-state FC in a cross-sectional sample (ages 7–25) of 58 typically developing (TD) individuals and 53 individuals with ASD. Contrary to hypotheses, individuals with ASD did not show different age-related patterns of frontoamygdala FC compared with TD individuals. However, overall group differences in frontoamygdala FC were observed. Specifically, relative to TD individuals, individuals with ASD showed weaker frontoamygdala FC between the right basolateral (BL) amygdala and the rostral anterior cingulate cortex (rACC). These findings extend prior work to a broader developmental range in ASD, and indicate ASD-related differences in frontoamygdala FC that may underlie core socioemotional impairments in children and adolescents with ASD.
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Affiliation(s)
- Paola Odriozola
- Department of Psychology, Yale University, New Haven, CT 06511, USA; Department of Psychology, University of Miami, Coral Gables, FL 33124, USA.
| | - Dina R Dajani
- Department of Psychology, University of Miami, Coral Gables, FL 33124, USA
| | | | | | - Emma Goodman
- Department of Psychology, Yale University, New Haven, CT 06511, USA
| | - Adriana C Baez
- Department of Psychology, University of Miami, Coral Gables, FL 33124, USA
| | - Nim Tottenham
- Department of Psychology, Columbia University, New York, NY 10027, USA
| | - Lucina Q Uddin
- Department of Psychology, University of Miami, Coral Gables, FL 33124, USA; Neuroscience Program, University of Miami Miller School of Medicine, Miami FL, 33136, USA
| | - Dylan G Gee
- Department of Psychology, Yale University, New Haven, CT 06511, USA
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14
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Yang J, Ju L, Yang C, Xue J, Setlow B, Morey TE, Gravenstein N, Seubert CN, Vasilopoulos T, Martynyuk AE. Effects of combined brief etomidate anesthesia and postnatal stress on amygdala expression of Cl - cotransporters and corticotropin-releasing hormone and alcohol intake in adult rats. Neurosci Lett 2018; 685:83-89. [PMID: 30125644 DOI: 10.1016/j.neulet.2018.08.019] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2018] [Revised: 08/09/2018] [Accepted: 08/16/2018] [Indexed: 01/18/2023]
Abstract
Early life stressors, including general anesthesia, can have adverse effects on adult neural and behavioral outcomes, such as disruptions in inhibitory signaling, stress responsivity and increased risk of psychiatric disorders. Here we used a rat model to determine the effects of combined exposure to etomidate (ET) neonatal anesthesia and maternal separation on adult amygdala expression of genes for corticotropin-releasing hormone (Crh) and the chloride co-transporters Nkcc1 and Kcc2, as well as ethanol intake. Male and female Sprague-Dawley rats were subjected to 2 h of ET anesthesia on postnatal days (P) 4, 5, or 6 followed by maternal separation for 3 h on P10 (ET + SEP). During the P91-P120 period rats had daily 2 h access to three 0.05% saccharin solutions containing 0%, 5%, or 10% ethanol, followed by gene expression analyses. The ET + SEP group had increased Crh mRNA levels and Nkcc1/Kcc2 mRNA ratios in the amygdala, with greater increases in Nkcc1/Kcc2 mRNA ratios in males. A moderate increase in 5% ethanol intake was evident in the ET + SEP males, but not females, after calculation of the ratio of alcohol intake between the last week and first week of exposure. In contrast, control males tended to decrease alcohol consumption during the same period. A brief exposure to ET combined with a subsequent episode of stress early in life induced significant alterations in expression of amygdala Crh, Nkcc1 and Kcc2 with greater changes in the Cl- transporter expression in males. The possibility of increased alcohol intake in the exposed males requires further confirmation using different alcohol intake paradigms.
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Affiliation(s)
- Jiaojiao Yang
- Department of Anesthesiology, University of Florida College of Medicine, Gainesville, FL, United States
| | - Lingsha Ju
- Department of Anesthesiology, University of Florida College of Medicine, Gainesville, FL, United States
| | - Chunyao Yang
- Department of Anesthesiology, University of Florida College of Medicine, Gainesville, FL, United States
| | - Jinhu Xue
- Department of Anesthesiology, University of Florida College of Medicine, Gainesville, FL, United States
| | - Barry Setlow
- The McKnight Brain Institute, University of Florida College of Medicine, Gainesville, FL, United States; Department of Psychiatry, University of Florida College of Medicine, Gainesville, FL, United States
| | - Timothy E Morey
- Department of Anesthesiology, University of Florida College of Medicine, Gainesville, FL, United States
| | - Nikolaus Gravenstein
- Department of Anesthesiology, University of Florida College of Medicine, Gainesville, FL, United States; The McKnight Brain Institute, University of Florida College of Medicine, Gainesville, FL, United States
| | - Christoph N Seubert
- Department of Anesthesiology, University of Florida College of Medicine, Gainesville, FL, United States
| | - Terrie Vasilopoulos
- Department of Anesthesiology, University of Florida College of Medicine, Gainesville, FL, United States
| | - Anatoly E Martynyuk
- Department of Anesthesiology, University of Florida College of Medicine, Gainesville, FL, United States; The McKnight Brain Institute, University of Florida College of Medicine, Gainesville, FL, United States.
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