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Caeyenberghs K, Imms P, Irimia A, Monti MM, Esopenko C, de Souza NL, Dominguez D JF, Newsome MR, Dobryakova E, Cwiek A, Mullin HAC, Kim NJ, Mayer AR, Adamson MM, Bickart K, Breedlove KM, Dennis EL, Disner SG, Haswell C, Hodges CB, Hoskinson KR, Johnson PK, Königs M, Li LM, Liebel SW, Livny A, Morey RA, Muir AM, Olsen A, Razi A, Su M, Tate DF, Velez C, Wilde EA, Zielinski BA, Thompson PM, Hillary FG. ENIGMA's simple seven: Recommendations to enhance the reproducibility of resting-state fMRI in traumatic brain injury. Neuroimage Clin 2024; 42:103585. [PMID: 38531165 PMCID: PMC10982609 DOI: 10.1016/j.nicl.2024.103585] [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] [Received: 09/21/2023] [Revised: 02/22/2024] [Accepted: 02/25/2024] [Indexed: 03/28/2024]
Abstract
Resting state functional magnetic resonance imaging (rsfMRI) provides researchers and clinicians with a powerful tool to examine functional connectivity across large-scale brain networks, with ever-increasing applications to the study of neurological disorders, such as traumatic brain injury (TBI). While rsfMRI holds unparalleled promise in systems neurosciences, its acquisition and analytical methodology across research groups is variable, resulting in a literature that is challenging to integrate and interpret. The focus of this narrative review is to address the primary methodological issues including investigator decision points in the application of rsfMRI to study the consequences of TBI. As part of the ENIGMA Brain Injury working group, we have collaborated to identify a minimum set of recommendations that are designed to produce results that are reliable, harmonizable, and reproducible for the TBI imaging research community. Part one of this review provides the results of a literature search of current rsfMRI studies of TBI, highlighting key design considerations and data processing pipelines. Part two outlines seven data acquisition, processing, and analysis recommendations with the goal of maximizing study reliability and between-site comparability, while preserving investigator autonomy. Part three summarizes new directions and opportunities for future rsfMRI studies in TBI patients. The goal is to galvanize the TBI community to gain consensus for a set of rigorous and reproducible methods, and to increase analytical transparency and data sharing to address the reproducibility crisis in the field.
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Affiliation(s)
- Karen Caeyenberghs
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia.
| | - Phoebe Imms
- Ethel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA.
| | - Andrei Irimia
- Ethel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA; Alfred E. Mann Department of Biomedical Engineering, Andrew & Erna Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA; Department of Quantitative & Computational Biology, Dana and David Dornsife College of Arts & Sciences, University of Southern California, Los Angeles, CA, USA.
| | - Martin M Monti
- Department of Psychology, UCLA, USA; Brain Injury Research Center (BIRC), Department of Neurosurgery, UCLA, USA.
| | - Carrie Esopenko
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, NY, USA.
| | - Nicola L de Souza
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, NY, USA.
| | - Juan F Dominguez D
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia.
| | - Mary R Newsome
- Michael E. DeBakey VA Medical Center, Houston, TX, USA; H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX, USA; TBI and Concussion Center, Department of Neurology, University of Utah, Salt Lake City, UT, USA.
| | - Ekaterina Dobryakova
- Center for Traumatic Brain Injury, Kessler Foundation, East Hanover, NJ, USA; Rutgers New Jersey Medical School, Newark, NJ, USA.
| | - Andrew Cwiek
- Department of Psychology, Penn State University, State College, PA, USA.
| | - Hollie A C Mullin
- Department of Psychology, Penn State University, State College, PA, USA.
| | - Nicholas J Kim
- Ethel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA; Alfred E. Mann Department of Biomedical Engineering, Andrew & Erna Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA.
| | - Andrew R Mayer
- Mind Research Network, Albuquerque, NM, USA; Departments of Neurology and Psychiatry, University of New Mexico School of Medicine, Albuquerque, NM, USA.
| | - Maheen M Adamson
- Women's Operational Military Exposure Network (WOMEN) & Rehabilitation Department, VA Palo Alto, Palo Alto, CA, USA; Rehabilitation Service, VA Palo Alto, Palo Alto, CA, USA; Neurosurgery, Stanford School of Medicine, Stanford, CA, USA.
| | - Kevin Bickart
- UCLA Steve Tisch BrainSPORT Program, USA; Department of Neurology, David Geffen School of Medicine at UCLA, USA.
| | - Katherine M Breedlove
- Center for Clinical Spectroscopy, Brigham and Women's Hospital, Boston, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA.
| | - Emily L Dennis
- TBI and Concussion Center, Department of Neurology, University of Utah, Salt Lake City, UT, USA; George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, UT, USA.
| | - Seth G Disner
- Minneapolis VA Health Care System, Minneapolis, MN, USA; Department of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, Minneapolis, MN, USA.
| | - Courtney Haswell
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA.
| | - Cooper B Hodges
- TBI and Concussion Center, Department of Neurology, University of Utah, Salt Lake City, UT, USA; George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, UT, USA; Department of Psychology, Brigham Young University, Provo, UT, USA.
| | - Kristen R Hoskinson
- Center for Biobehavioral Health, The Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH, USA; Department of Pediatrics, The Ohio State University College of Medicine, OH, USA.
| | - Paula K Johnson
- TBI and Concussion Center, Department of Neurology, University of Utah, Salt Lake City, UT, USA; Neuroscience Center, Brigham Young University, Provo, UT, USA.
| | - Marsh Königs
- Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Emma Neuroscience Group, The Netherlands; Amsterdam Reproduction and Development, Amsterdam, The Netherlands.
| | - Lucia M Li
- C3NL, Imperial College London, United Kingdom; UK DRI Centre for Health Care and Technology, Imperial College London, United Kingdom.
| | - Spencer W Liebel
- TBI and Concussion Center, Department of Neurology, University of Utah, Salt Lake City, UT, USA; George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, UT, USA.
| | - Abigail Livny
- Division of Diagnostic Imaging, Sheba Medical Center, Tel-Hashomer, Israel; Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel; Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
| | - Rajendra A Morey
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA; Duke-UNC Brain Imaging and Analysis Center, Duke University, Durham, NC, USA; VA Mid-Atlantic Mental Illness Research Education and Clinical Center, Durham, NC, USA.
| | - Alexandra M Muir
- Department of Psychology, Brigham Young University, Provo, UT, USA.
| | - Alexander Olsen
- Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway; Clinic of Rehabilitation, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway; NorHEAD - Norwegian Centre for Headache Research, Norwegian University of Science and Technology, Trondheim, Norway.
| | - Adeel Razi
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, VIC 3800, Australia; Wellcome Centre for Human Neuroimaging, University College London, WC1N 3AR London, United Kingdom; CIFAR Azrieli Global Scholars Program, CIFAR, Toronto, ON, Canada.
| | - Matthew Su
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX, USA.
| | - David F Tate
- TBI and Concussion Center, Department of Neurology, University of Utah, Salt Lake City, UT, USA; George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, UT, USA.
| | - Carmen Velez
- TBI and Concussion Center, Department of Neurology, University of Utah, Salt Lake City, UT, USA; George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, UT, USA.
| | - Elisabeth A Wilde
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX, USA; TBI and Concussion Center, Department of Neurology, University of Utah, Salt Lake City, UT, USA; George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, UT, USA.
| | - Brandon A Zielinski
- Departments of Pediatrics, Neurology, and Neuroscience, University of Florida, Gainesville, FL, USA; Departments of Pediatrics, Neurology, and Radiology, University of Utah, Salt Lake City, UT, USA.
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, University of Southern California, Marina del Rey, CA, USA.
| | - Frank G Hillary
- Department of Psychology, Penn State University, State College, PA, USA; Department of Neurology, Hershey Medical Center, PA, USA.
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Imms P, Clemente A, Deutscher E, Radwan AM, Akhlaghi H, Beech P, Wilson PH, Irimia A, Poudel G, Domínguez Duque JF, Caeyenberghs K. Exploring personalized structural connectomics for moderate to severe traumatic brain injury. Netw Neurosci 2023; 7:160-183. [PMID: 37334004 PMCID: PMC10270710 DOI: 10.1162/netn_a_00277] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 09/06/2022] [Indexed: 10/03/2023] Open
Abstract
Graph theoretical analysis of the structural connectome has been employed successfully to characterize brain network alterations in patients with traumatic brain injury (TBI). However, heterogeneity in neuropathology is a well-known issue in the TBI population, such that group comparisons of patients against controls are confounded by within-group variability. Recently, novel single-subject profiling approaches have been developed to capture inter-patient heterogeneity. We present a personalized connectomics approach that examines structural brain alterations in five chronic patients with moderate to severe TBI who underwent anatomical and diffusion magnetic resonance imaging. We generated individualized profiles of lesion characteristics and network measures (including personalized graph metric GraphMe plots, and nodal and edge-based brain network alterations) and compared them against healthy reference cases (N = 12) to assess brain damage qualitatively and quantitatively at the individual level. Our findings revealed alterations of brain networks with high variability between patients. With validation and comparison to stratified, normative healthy control comparison cohorts, this approach could be used by clinicians to formulate a neuroscience-guided integrative rehabilitation program for TBI patients, and for designing personalized rehabilitation protocols based on their unique lesion load and connectome.
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Affiliation(s)
- Phoebe Imms
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Adam Clemente
- Healthy Brain and Mind Research Centre, School of Behavioural, Health, and Human Sciences, Faculty of Health Sciences, Australian Catholic University, Fitzroy, Victoria, Australia
| | - Evelyn Deutscher
- Cognitive Neuroscience Unit, School of Psychology, Faculty of Health, Deakin University, Burwood, Victoria, Australia
| | - Ahmed M. Radwan
- KU Leuven, Department of Imaging and Pathology, Translational MRI, Leuven, Belgium
| | - Hamed Akhlaghi
- Emergency Department, St. Vincent’s Hospital (Melbourne), Faculty of Health, Deakin University, Melbourne, Victoria, Australia
| | - Paul Beech
- Department of Radiology and Nuclear Medicine, The Alfred Hospital, Melbourne, Victoria, Australia
| | - Peter H. Wilson
- Healthy Brain and Mind Research Centre, School of Behavioural, Health, and Human Sciences, Faculty of Health Sciences, Australian Catholic University, Fitzroy, Victoria, Australia
| | - Andrei Irimia
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
- Corwin D. Denney Research Center, Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA
- Department of Quantitative and Computational Biology, Dana and David Dornsife College of Arts and Sciences, University of Southern California, Los Angeles, CA, USA
| | - Govinda Poudel
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria, Australia
| | - Juan F. Domínguez Duque
- Cognitive Neuroscience Unit, School of Psychology, Faculty of Health, Deakin University, Burwood, Victoria, Australia
| | - Karen Caeyenberghs
- Cognitive Neuroscience Unit, School of Psychology, Faculty of Health, Deakin University, Burwood, Victoria, Australia
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Manthey A, Sierk A, Brakemeier EL, Walter H, Daniels JK. Does trauma-focused psychotherapy change the brain? A systematic review of neural correlates of therapeutic gains in PTSD. Eur J Psychotraumatol 2021; 12:1929025. [PMID: 34394855 PMCID: PMC8354020 DOI: 10.1080/20008198.2021.1929025] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/30/2022] Open
Abstract
BACKGROUND Meta-analytic results indicate that posttraumatic stress disorder (PTSD) is associated with hypoactivation of the medial prefrontal cortex (mPFC), hyperactivation of the amygdala, and volume reductions of the hippocampus. Effective psychotherapeutic treatments were hypothesized to normalize these neural patterns via upregulation of prefrontal structures, which in turn downregulate limbic regions. OBJECTIVE To gain a sound understanding of the effects of successful psychotherapy on the brain, neural changes from pre- to post-treatment in PTSD patients will be aggregated. METHOD A systematic literature search identified 24 original studies employing structural or functional MRI measurements both before and after treatment of patients diagnosed with PTSD. RESULTS In conjunction, the review returned little evidence of an activation increase in the mPFC/rostral anterior cingulate cortex (rACC) following successful treatment. Five out of 12 studies observed such an increase (especially during emotion processing tasks), albeit in partially non-overlapping brain regions. Conversely, neither the putative related activation decrease in the amygdala nor volumetric changes or altered activation during the resting state could be convincingly established. CONCLUSION Successful psychological treatments might potentially work via upregulation of the mPFC, which thus may be involved in symptom reduction. However, the role of the amygdala in recovery from PTSD remains unclear. There is currently no indication that the various PTSD treatment approaches employed by the reviewed studies differ regarding their action mechanisms, but further research on this topic is needed.
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Affiliation(s)
- Antje Manthey
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Anika Sierk
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Eva-Lotta Brakemeier
- Department of Clinical Psychology and Psychotherapy, Universität Greifswald, Greifswald, Germany.,Psychologische Hochschule Berlin, Berlin, Germany
| | - Henrik Walter
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Judith K Daniels
- Psychologische Hochschule Berlin, Berlin, Germany.,Department of Clinical Psychology, University of Groningen, Groningen, The Netherlands
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Ahmed MR, Zhang Y, Liu Y, Liao H. Single Volume Image Generator and Deep Learning-Based ASD Classification. IEEE J Biomed Health Inform 2020; 24:3044-3054. [DOI: 10.1109/jbhi.2020.2998603] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Marwood L, Wise T, Perkins AM, Cleare AJ. Meta-analyses of the neural mechanisms and predictors of response to psychotherapy in depression and anxiety. Neurosci Biobehav Rev 2018; 95:61-72. [PMID: 30278195 PMCID: PMC6267850 DOI: 10.1016/j.neubiorev.2018.09.022] [Citation(s) in RCA: 88] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2018] [Revised: 09/17/2018] [Accepted: 09/25/2018] [Indexed: 12/18/2022]
Abstract
Understanding the neural mechanisms underlying psychological therapy could aid understanding of recovery processes and help target treatments. The dual-process model hypothesises that psychological therapy is associated with increased emotional-regulation in prefrontal brain regions and decreased implicit emotional-reactivity in limbic regions; however, research has yielded inconsistent findings. Meta-analyses of brain activity changes accompanying psychological therapy (22 studies, n = 352) and neural predictors of symptomatic improvement (11 studies, n = 293) in depression and anxiety were conducted using seed-based d mapping. Both resting-state and task-based studies were included, and analysed together and separately. The most robust findings were significant decreases in anterior cingulate/paracingulate gyrus, inferior frontal gyrus and insula activation after therapy. Cuneus activation was predictive of subsequent symptom change. The results are in agreement with neural models of improved emotional-reactivity following therapy as evidenced by decreased activity within the anterior cingulate and insula. We propose compensatory as well as corrective neural mechanisms of action underlie therapeutic efficacy, and suggest the dual-process model may be too simplistic to account fully for treatment mechanisms. More research on predictors of psychotherapeutic response is required to provide reliable predictors of response.
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Affiliation(s)
- Lindsey Marwood
- Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; South London and Maudsley NHS Foundation Trust, London, UK.
| | - Toby Wise
- Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, London, UK; Wellcome Trust Centre for Neuroimaging, University College London, London, UK
| | - Adam M Perkins
- Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Anthony J Cleare
- Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; South London and Maudsley NHS Foundation Trust, London, UK
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Sharda M, Tuerk C, Chowdhury R, Jamey K, Foster N, Custo-Blanch M, Tan M, Nadig A, Hyde K. Music improves social communication and auditory-motor connectivity in children with autism. Transl Psychiatry 2018; 8:231. [PMID: 30352997 PMCID: PMC6199253 DOI: 10.1038/s41398-018-0287-3] [Citation(s) in RCA: 69] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Revised: 08/10/2018] [Accepted: 09/26/2018] [Indexed: 01/04/2023] Open
Abstract
Music has been identified as a strength in people with Autism Spectrum Disorder; however, there is currently no neuroscientific evidence supporting its benefits. Given its universal appeal, intrinsic reward value and ability to modify brain and behaviour, music may be a potential therapeutic aid in autism. Here we evaluated the neurobehavioural outcomes of a music intervention, compared to a non-music control intervention, on social communication and brain connectivity in school-age children (ISRCTN26821793). Fifty-one children aged 6-12 years with autism were randomized to receive 8-12 weeks of music (n = 26) or non-music intervention (n = 25). The music intervention involved use of improvisational approaches through song and rhythm to target social communication. The non-music control was a structurally matched behavioural intervention implemented in a non-musical context. Groups were assessed before and after intervention on social communication and resting-state functional connectivity of fronto-temporal brain networks. Communication scores were higher in the music group post-intervention (difference score = 4.84, P = .01). Associated post-intervention resting-state brain functional connectivity was greater in music vs. non-music groups between auditory and subcortical regions (z = 3.94, P < .0001) and auditory and fronto-motor regions (z = 3.16, P < .0001). Post-intervention brain connectivity was lower between auditory and visual regions in the music compared to the non-music groups, known to be over-connected in autism (z = 4.01, P < .00001). Post-intervention brain connectivity in the music group was related to communication improvement (z = 3.57, P < .0001). This study provides the first evidence that 8-12 weeks of individual music intervention can indeed improve social communication and functional brain connectivity, lending support to further investigations of neurobiologically motivated models of music interventions in autism.
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Affiliation(s)
- Megha Sharda
- International Laboratory for Brain, Music and Sound Research (BRAMS), Department of Psychology, University of Montreal, Pavilion Marie-Victorin, 90 Avenue Vincent D'Indy, Montreal, QC, H2V 2S9, Canada.
- Centre for Research on Brain, Language and Music (CRBLM), Faculty of Medicine, McGill University, Rabinovitch House, 3640 de la Montagne, Montreal, QC, H3G 2A8, Canada.
| | - Carola Tuerk
- International Laboratory for Brain, Music and Sound Research (BRAMS), Department of Psychology, University of Montreal, Pavilion Marie-Victorin, 90 Avenue Vincent D'Indy, Montreal, QC, H2V 2S9, Canada
| | - Rakhee Chowdhury
- International Laboratory for Brain, Music and Sound Research (BRAMS), Department of Psychology, University of Montreal, Pavilion Marie-Victorin, 90 Avenue Vincent D'Indy, Montreal, QC, H2V 2S9, Canada
| | - Kevin Jamey
- International Laboratory for Brain, Music and Sound Research (BRAMS), Department of Psychology, University of Montreal, Pavilion Marie-Victorin, 90 Avenue Vincent D'Indy, Montreal, QC, H2V 2S9, Canada
- Centre for Research on Brain, Language and Music (CRBLM), Faculty of Medicine, McGill University, Rabinovitch House, 3640 de la Montagne, Montreal, QC, H3G 2A8, Canada
| | - Nicholas Foster
- International Laboratory for Brain, Music and Sound Research (BRAMS), Department of Psychology, University of Montreal, Pavilion Marie-Victorin, 90 Avenue Vincent D'Indy, Montreal, QC, H2V 2S9, Canada
- Centre for Research on Brain, Language and Music (CRBLM), Faculty of Medicine, McGill University, Rabinovitch House, 3640 de la Montagne, Montreal, QC, H3G 2A8, Canada
| | - Melanie Custo-Blanch
- International Laboratory for Brain, Music and Sound Research (BRAMS), Department of Psychology, University of Montreal, Pavilion Marie-Victorin, 90 Avenue Vincent D'Indy, Montreal, QC, H2V 2S9, Canada
- Centre for Research on Brain, Language and Music (CRBLM), Faculty of Medicine, McGill University, Rabinovitch House, 3640 de la Montagne, Montreal, QC, H3G 2A8, Canada
| | - Melissa Tan
- Westmount Music Therapy, 4695 Maisonneuve Boulevard West, Westmount, QC, H3Z 1S4, Canada
| | - Aparna Nadig
- Centre for Research on Brain, Language and Music (CRBLM), Faculty of Medicine, McGill University, Rabinovitch House, 3640 de la Montagne, Montreal, QC, H3G 2A8, Canada
- School of Communication Sciences and Disorders, Faculty of Medicine, McGill University, 2001 Avenue McGill College, Montréal, QC, H3A 1G1, Canada
| | - Krista Hyde
- International Laboratory for Brain, Music and Sound Research (BRAMS), Department of Psychology, University of Montreal, Pavilion Marie-Victorin, 90 Avenue Vincent D'Indy, Montreal, QC, H2V 2S9, Canada
- Centre for Research on Brain, Language and Music (CRBLM), Faculty of Medicine, McGill University, Rabinovitch House, 3640 de la Montagne, Montreal, QC, H3G 2A8, Canada
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Naji B, Ekhtiari H. New Generation of Psychotherapies Inspired by Cognitive Neuroscience Development: Emergence of Neurocognitive Therapies. Basic Clin Neurosci 2016; 7:179-84. [PMID: 27563409 PMCID: PMC4981828 DOI: 10.15412/j.bcn.03070301] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Borzooyeh Naji
- Translational Neuroscience Program, Institute for Cognitive Science Studies, Tehran, Iran
| | - Hamed Ekhtiari
- Translational Neuroscience Program, Institute for Cognitive Science Studies, Tehran, Iran.; Neurocognitive Laboratory, Iranian National Center for Addiction Studies, Tehran University of Medical Sciences, Tehran, Iran.; Neuroimaging and Analysis Group (NIAG), Research Center for Molecular and Cellular Imaging (RCMCI), Tehran University of Medical Sciences, Tehran, Iran
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Analysis of glucose metabolism of 18F-FDG in major depression patients using PET imaging: Correlation of salivary cortisol and α-amylase. Neurosci Lett 2016; 629:52-57. [DOI: 10.1016/j.neulet.2016.06.039] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2016] [Revised: 05/22/2016] [Accepted: 06/20/2016] [Indexed: 11/21/2022]
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Pushkarskaya H, Tolin D, Ruderman L, Kirshenbaum A, Kelly JM, Pittenger C, Levy I. Decision-making under uncertainty in obsessive-compulsive disorder. J Psychiatr Res 2015; 69:166-73. [PMID: 26343609 PMCID: PMC4562025 DOI: 10.1016/j.jpsychires.2015.08.011] [Citation(s) in RCA: 57] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2015] [Revised: 07/24/2015] [Accepted: 08/07/2015] [Indexed: 11/18/2022]
Abstract
Obsessive compulsive disorder (OCD) produces profound morbidity. Difficulties with decision-making and intolerance of uncertainty are prominent clinical features in many patients. The nature and etiology of these deficits are poorly understood. We used a well-validated choice task, grounded in behavioral economic theory, to investigate differences in valuation and value-based choice during decision making under uncertainty in 20 unmedicated participants with OCD and 20 matched healthy controls. Participants' choices were used to assess individual decision-making characteristics. OCD participants did not differ from healthy controls in how they valued uncertain options when outcome probabilities were known (risk) but were more likely than healthy controls to avoid uncertain options when these probabilities were imprecisely specified (ambiguity). Compared to healthy controls, individuals with OCD were less consistent in their choices and less able to identify options that should be clearly preferable. These abnormalities correlated with symptom severity. These results suggest that value-based choices during decision-making are abnormal in OCD. Individuals with OCD show elevated intolerance of uncertainty, but only when outcome probabilities are themselves uncertain. Future research focused on the neural valuation network, which is implicated in value-based computations, may provide new neurocognitive insights into the pathophysiology of OCD. Deficits in decision-making processes may represent a target for therapeutic intervention.
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Affiliation(s)
- Helen Pushkarskaya
- Section of Comparative Medicine, Yale School of Medicine, New Haven, CT 06510, USA.
| | - David Tolin
- Department of Psychiatry, Yale School of Medicine, New Haven, CT 06510, USA; Anxiety Disorders Center, Institute of Living, Hartford Hospital, Hartford, CT 06114, USA
| | - Lital Ruderman
- Section of Comparative Medicine, Yale School of Medicine, New Haven, CT 06510, USA
| | - Ariel Kirshenbaum
- Department of Neurobiology, Yale School of Medicine, New Haven, CT 06510, USA
| | - J MacLaren Kelly
- Department of Psychiatry, Yale School of Medicine, New Haven, CT 06510, USA
| | - Christopher Pittenger
- Department of Psychiatry, Yale School of Medicine, New Haven, CT 06510, USA; Department of Psychology, Yale University, New Haven, CT 06510, USA; Child Study Center, Yale School of Medicine, New Haven, CT 06510, USA
| | - Ifat Levy
- Section of Comparative Medicine, Yale School of Medicine, New Haven, CT 06510, USA; Department of Neurobiology, Yale School of Medicine, New Haven, CT 06510, USA
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Using neuroimaging to evaluate and guide pharmacological and psychotherapeutic treatments for mood disorders in children. CNS Spectr 2015; 20:359-68. [PMID: 25659836 DOI: 10.1017/s1092852914000819] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Mood disorders are increasing in childhood, and often require multimodal and comprehensive treatment plans to address a complex array of symptoms and associated morbidities. Pharmacotherapy, in combination with psychotherapeutic interventions, is essential for treatment and stabilization. Current evidence supports the use of a number of interventions in children and adolescents diagnosed with DSM-5 mood spectrum disorders, which are associated with impairments in prefrontal-striatal-limbic networks, which are key for emotional functioning and regulation. Yet, little is known about the neurobiological effects of interventions on the developing brain. This chapter provides a synopsis of the literature demonstrating the neural effects of psychotropic medications and psychotherapy in youth with depressive or bipolar spectrum disorders. Additional longitudinal and biological studies are warranted to characterize the effects of these interventions on all phases and stages of mood illness development in children and adolescents.
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Rapin I. Classification of behaviorally defined disorders: biology versus the DSM. J Autism Dev Disord 2015; 44:2661-6. [PMID: 24816869 DOI: 10.1007/s10803-014-2127-5] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Three levels of investigation underlie all biologically based attempts at classification of behaviorally defined developmental and psychiatric disorders: Level A, pseudo-categorical classification of mostly dimensional descriptions of behaviors and their disorders included in the 2013 American Psychiatric Association's Fifth Edition of the Diagnostic and Statistical Manual (DSM-5); Level C, mostly categorical classification of genetic and environmental causes (etiologies) of Level A disorders; and Level B, the pathophysiologic--both categorical and dimensional--biologic mechanisms underlying Level A "diagnoses" which comprise hierarchically interacting molecular, cellular, and neural networks and major brain pathways orchestrated by Level C etiologies. Besides modest numbers of effective psychotropic medications and their derivatives, major advances in treatment have addressed the behavioral symptoms of Level A-defined developmental and psychiatric disorders. The National Institute of Mental Health proposes support for a new biologically based Research Domain Criteria (RDoC) classification; its goal is to apply to behaviorally defined Level A developmental and psychiatric disorders the biologically based Level C and Level B research strategies that have greatly accelerated treatment and prevention of medical disorders. It plans to supplement effective educational and behavioral symptom-based interventions with faster, more potent and specific biologic therapies and, hopefully, to discover how effective behavioral interventions alter brain function. This commentary raises the question of whether a hybrid nosology that maps biology onto behavior is attainable. At a minimum, such a nosologic effort requires greater in-depth and better informed dialog between investigators of behavior and biology than occurs typically, and more realistic communication of the implications of research results to the public.
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Affiliation(s)
- Isabelle Rapin
- The Saul R. Korey Department of Neurology, The Department of Pediatrics, The Rose F. Kennedy Center for Research on Intellectual and Developmental Disabilities, Albert Einstein College of Medicine, Bronx, NY, 10461, USA,
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Crowther A, Smoski MJ, Minkel J, Moore T, Gibbs D, Petty C, Bizzell J, Schiller CE, Sideris J, Carl H, Dichter GS. Resting-state connectivity predictors of response to psychotherapy in major depressive disorder. Neuropsychopharmacology 2015; 40:1659-73. [PMID: 25578796 PMCID: PMC4915248 DOI: 10.1038/npp.2015.12] [Citation(s) in RCA: 76] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2014] [Revised: 11/24/2014] [Accepted: 12/16/2014] [Indexed: 12/23/2022]
Abstract
Despite the heterogeneous symptom presentation and complex etiology of major depressive disorder (MDD), functional neuroimaging studies have shown with remarkable consistency that dysfunction in mesocorticolimbic brain systems are central to the disorder. Relatively less research has focused on the identification of biological markers of response to antidepressant treatment that would serve to improve the personalized delivery of empirically supported antidepressant interventions. In the present study, we investigated whether resting-state functional brain connectivity (rs-fcMRI) predicted response to Behavioral Activation Treatment for Depression, an empirically validated psychotherapy modality designed to increase engagement with rewarding stimuli and reduce avoidance behaviors. Twenty-three unmedicated outpatients with MDD and 20 matched nondepressed controls completed rs-fcMRI scans after which the MDD group received an average of 12 sessions of psychotherapy. The mean change in Beck Depression Inventory-II scores after psychotherapy was 12.04 points, a clinically meaningful response. Resting-state neuroimaging data were analyzed with a seed-based approach to investigate functional connectivity with four canonical resting-state networks: the default mode network, the dorsal attention network, the executive control network, and the salience network. At baseline, the MDD group was characterized by relative hyperconnectivity of multiple regions with precuneus, anterior insula, dorsal anterior cingulate cortex (dACC), and left dorsolateral prefrontal cortex seeds and by relative hypoconnectivity with intraparietal sulcus, anterior insula, and dACC seeds. Additionally, connectivity of the precuneus with the left middle temporal gyrus and connectivity of the dACC with the parahippocampal gyrus predicted the magnitude of pretreatment MDD symptoms. Hierarchical linear modeling revealed that response to psychotherapy in the MDD group was predicted by pretreatment connectivity of the right insula with the right middle temporal gyrus and the left intraparietal sulcus with the orbital frontal cortex. These results add to the nascent body of literature investigating pretreatment rs-fcMRI predictors of antidepressant treatment response and is the first study to examine rs-fcMRI predictors of response to psychotherapy.
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Affiliation(s)
- Andrew Crowther
- UNC Neurobiology Curriculum, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Moria J Smoski
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA
| | - Jared Minkel
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA,Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Tyler Moore
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA
| | - Devin Gibbs
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA
| | - Chris Petty
- Duke-UNC Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA
| | - Josh Bizzell
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA,Duke-UNC Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA
| | - Crystal Edler Schiller
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA
| | - John Sideris
- Frank Porter Graham Child Development Institute, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Hannah Carl
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Gabriel S Dichter
- UNC Neurobiology Curriculum, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA,Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA,Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA,Duke-UNC Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA,Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, CB 7155, Chapel Hill, NC 27599-7155, USA, Tel: +1 919 445 0132, Fax: +1 919 966 2230, E-mail:
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Dichter GS, Gibbs D, Smoski MJ. A systematic review of relations between resting-state functional-MRI and treatment response in major depressive disorder. J Affect Disord 2015; 172:8-17. [PMID: 25451389 PMCID: PMC4375066 DOI: 10.1016/j.jad.2014.09.028] [Citation(s) in RCA: 225] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2014] [Revised: 08/13/2014] [Accepted: 09/02/2014] [Indexed: 12/19/2022]
Abstract
BACKGROUND Resting-state functional magnetic resonance imaging (fMRI) is a promising predictor of treatment response in major depressive disorder (MDD). METHODS A search for papers published in English was conducted using PubMed with the following words: depression, treatment, resting-state, connectivity, and fMRI. Findings from 21 studies of relations between resting-state fMRI and treatment response in MDD are presented, and common findings and themes are discussed. RESULTS The use of resting-state fMRI in research on MDD treatment response has yielded a number of consistent findings that provide a basis for understanding the potential mechanisms of action of antidepressant treatment response. These included (1) associations between response to antidepressant medications and increased functional connectivity between frontal and limbic brain regions, possibly resulting in greater inhibitory control over neural circuits that process emotions; (2) connectivity of visual recognition circuits in studies that compared treatment resistant and treatment sensitive patients; (3) response to TMS was consistently predicted by subcallosal cortex connectivity; and (4) hyperconnectivity of the default mode network and hypoconnectivity of the cognitive control network differentiated treatment-resistant from treatment-sensitive MDD patients. LIMITATIONS There was also considerable variability between studies with respect to study designs and analytic strategies that made direct comparisons across all studies difficult. CONCLUSIONS Continued standardization of study designs and analytic strategies as well as aggregation of larger datasets will allow the field to better elucidate the potential mechanisms of action of treatment response in patients with MDD to ultimately generate algorithms to predict which patients will respond to which antidepressant treatments.
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Affiliation(s)
- Gabriel S. Dichter
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC 27599, USA,Correspondence: Dr. Gabriel S. Dichter, , Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, CB 7255, Chapel Hill, NC 27599-7255, USA
| | - Devin Gibbs
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC 27599, USA
| | - Moria J. Smoski
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham NC 27710, USA
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Abstract
In this paper, I will review why psychotherapy is relevant to the question of how consciousness relates to brain plasticity. A great deal of the research and theorizing on consciousness and the brain, including my own on hallucinations for example (Collerton and Perry, 2011) has focused upon specific changes in conscious content which can be related to temporal changes in restricted brain systems. I will argue that psychotherapy, in contrast, allows only a focus on holistic aspects of consciousness; an emphasis which may usefully complement what can be learnt from more specific methodologies.
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Affiliation(s)
- Daniel Collerton
- Clinical Psychology, Northumberland, Tyne and Wear NHS Foundation Trust Gateshead, UK ; Newcastle upon Tyne Newcastle University, UK
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Abstract
This review presents an overview of functional magnetic resonance imaging findings in autism spectrum disorders (ASDS), although there is considerable heterogeneity with respect to results across studies, common themes have emerged, including: (i) hypoactivation in nodes of the "social brain" during social processing tasks, including regions within the prefrontal cortex, the posterior superior temporal sulcus, the amygdala, and the fusiform gyrus; (ii) aberrant frontostriatal activation during cognitive control tasks relevant to restricted and repetitive behaviors and interests, including regions within the dorsal prefrontal cortex and the basal ganglia; (iii) differential lateralization and activation of language processing and production regions during communication tasks; (iv) anomalous mesolimbic responses to social and nonsocial rewards; (v) task-based long-range functional hypoconnectivity and short-range hyper-connectivity; and (vi) decreased anterior-posterior functional connectivity during resting states. These findings provide mechanistic accounts of ASD pathophysiology and suggest directions for future research aimed at elucidating etiologic models and developing rationally derived and targeted treatments.
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Affiliation(s)
- Gabriel S Dichter
- Departments of Psychiatry and Psychology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
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Bishop DVM. Research Review: Emanuel Miller Memorial Lecture 2012 - neuroscientific studies of intervention for language impairment in children: interpretive and methodological problems. J Child Psychol Psychiatry 2013; 54:247-59. [PMID: 23278309 PMCID: PMC3593170 DOI: 10.1111/jcpp.12034] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
BACKGROUND Our ability to look at structure and function of a living brain has increased exponentially since the early 1970s. Many studies of developmental disorders now routinely include a brain imaging or electrophysiological component. Amid current enthusiasm for applications of neuroscience to educational interventions, we need to pause to consider what neuroimaging data can tell us. Images of brain activity are seductive, and have been used to give credibility to commercial interventions, yet we have only a limited idea of what the brain bases of language disorders are, let alone how to alter them. SCOPE AND FINDINGS A review of six studies of neuroimaging correlates of language intervention found recurring methodological problems: lack of an adequate control group, inadequate power, incomplete reporting of data, no correction for multiple comparisons, data dredging and failure to analyse treatment effects appropriately. In addition, there is a tendency to regard neuroimaging data as more meaningful than behavioural data, even though it is behaviour that interventions aim to alter. CONCLUSION In our current state of knowledge, it would be better to spend research funds doing well-designed trials of behavioural treatment to establish which methods are effective, rather than rushing headlong into functional imaging studies of unproven treatments.
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Affiliation(s)
- D V M Bishop
- Department of Experimental Psychology, University of Oxford, Oxford, UK.
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Singh MK, Chang KD. The Neural Effects of Psychotropic Medications in Children and Adolescents. Child Adolesc Psychiatr Clin N Am 2012; 21:753-71. [PMID: 23040900 PMCID: PMC3590023 DOI: 10.1016/j.chc.2012.07.010] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Little is known about the neurobiological effects of psychotropic medications used in the treatment of children and adolescents diagnosed with a psychiatric disorder. This review provides a synopsis of the literature demonstrating the neural effects associated with exposure to psychotropic medication in youth using multimodal neuroimaging. The article concludes by illustrating how, taken together, these studies suggest that pharmacological interventions during childhood do indeed affect brain structure and function in a detectable manner, and the effects appear to be ameliorative.
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18
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Dichter GS. Functional magnetic resonance imaging of autism spectrum disorders. DIALOGUES IN CLINICAL NEUROSCIENCE 2012; 14:319-51. [PMID: 23226956 PMCID: PMC3513685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 03/22/2024]
Abstract
This review presents an overview of functional magnetic resonance imaging findings in autism spectrum disorders (ASDS), although there is considerable heterogeneity with respect to results across studies, common themes have emerged, including: (i) hypoactivation in nodes of the "social brain" during social processing tasks, including regions within the prefrontal cortex, the posterior superior temporal sulcus, the amygdala, and the fusiform gyrus; (ii) aberrant frontostriatal activation during cognitive control tasks relevant to restricted and repetitive behaviors and interests, including regions within the dorsal prefrontal cortex and the basal ganglia; (iii) differential lateralization and activation of language processing and production regions during communication tasks; (iv) anomalous mesolimbic responses to social and nonsocial rewards; (v) task-based long-range functional hypoconnectivity and short-range hyper-connectivity; and (vi) decreased anterior-posterior functional connectivity during resting states. These findings provide mechanistic accounts of ASD pathophysiology and suggest directions for future research aimed at elucidating etiologic models and developing rationally derived and targeted treatments.
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Affiliation(s)
- Gabriel S Dichter
- Departments of Psychiatry and Psychology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
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