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Ueta Y, Miyata M. Functional and structural synaptic remodeling mechanisms underlying somatotopic organization and reorganization in the thalamus. Neurosci Biobehav Rev 2023; 152:105332. [PMID: 37524138 DOI: 10.1016/j.neubiorev.2023.105332] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 05/09/2023] [Accepted: 07/27/2023] [Indexed: 08/02/2023]
Abstract
The somatosensory system organizes the topographic representation of body maps, termed somatotopy, at all levels of an ascending hierarchy. Postnatal maturation of somatotopy establishes optimal somatosensation, whereas deafferentation in adults reorganizes somatotopy, which underlies pathological somatosensation, such as phantom pain and complex regional pain syndrome. Here, we focus on the mouse whisker somatosensory thalamus to study how sensory experience shapes the fine topography of afferent connectivity during the critical period and what mechanisms remodel it and drive a large-scale somatotopic reorganization after peripheral nerve injury. We will review our findings that, following peripheral nerve injury in adults, lemniscal afferent synapses onto thalamic neurons are remodeled back to immature configuration, as if the critical period reopens. The remodeling process is initiated with local activation of microglia in the brainstem somatosensory nucleus downstream to injured nerves and heterosynaptically controlled by input from GABAergic and cortical neurons to thalamic neurons. These fruits of thalamic studies complement well-studied cortical mechanisms of somatotopic organization and reorganization and unveil potential intervention points in treating pathological somatosensation.
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Affiliation(s)
- Yoshifumi Ueta
- Division of Neurophysiology, Department of Physiology, School of Medicine, Tokyo Women's Medical University, Tokyo 162-8666, Japan
| | - Mariko Miyata
- Division of Neurophysiology, Department of Physiology, School of Medicine, Tokyo Women's Medical University, Tokyo 162-8666, Japan.
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2
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Roy MJ, Keyser DO, Rowe SS, Hernandez RS, Dovel M, Romero H, Lee D, Menezes M, Magee E, Brooks DJ, Lai C, Gill J, Wiri S, Metzger E, Werner JK, Brungart D, Kulinski DM, Nathan D, Carr WS. Methodology of the INVestigating traIning assoCiated blasT pAthology (INVICTA) study. BMC Med Res Methodol 2022; 22:317. [PMID: 36513998 PMCID: PMC9746108 DOI: 10.1186/s12874-022-01807-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 11/29/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Subconcussive blast exposure during military training has been the subject of both anecdotal concerns and reports in the medical literature, but prior studies have often been small and have used inconsistent methods. METHODS This paper presents the methodology employed in INVestigating traIning assoCiated blasT pAthology (INVICTA) to assess a wide range of aspects of brain function, including immediate and delayed recall, gait and balance, audiologic and oculomotor function, cerebral blood flow, brain electrical activity and neuroimaging and blood biomarkers. RESULTS A number of the methods employed in INVICTA are relatively easy to reproducibly utilize, and can be completed efficiently, while other measures require greater technical expertise, take longer to complete, or may have logistical challenges. CONCLUSIONS This presentation of methods used to assess the impact of blast exposure on the brain is intended to facilitate greater uniformity of data collection in this setting, which would enable comparison between different types of blast exposure and environmental circumstances, as well as to facilitate meta-analyses and syntheses across studies.
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Affiliation(s)
- Michael J. Roy
- grid.265436.00000 0001 0421 5525Department of Medicine, Center for Neuroscience and Regenerative Medicine, Uniformed Services University, Bethesda, MD 20814 USA
| | - David O. Keyser
- grid.265436.00000 0001 0421 5525Department of Medicine, Center for Neuroscience and Regenerative Medicine, Uniformed Services University, Bethesda, MD 20814 USA
| | - Sheilah S. Rowe
- grid.265436.00000 0001 0421 5525Department of Medicine, Center for Neuroscience and Regenerative Medicine, Uniformed Services University, Bethesda, MD 20814 USA ,grid.201075.10000 0004 0614 9826Henry M. Jackson Foundation, Rockville, MD USA
| | - Rene S. Hernandez
- grid.265436.00000 0001 0421 5525Department of Medicine, Center for Neuroscience and Regenerative Medicine, Uniformed Services University, Bethesda, MD 20814 USA ,grid.201075.10000 0004 0614 9826Henry M. Jackson Foundation, Rockville, MD USA
| | - Marcia Dovel
- grid.265436.00000 0001 0421 5525Department of Medicine, Center for Neuroscience and Regenerative Medicine, Uniformed Services University, Bethesda, MD 20814 USA ,grid.201075.10000 0004 0614 9826Henry M. Jackson Foundation, Rockville, MD USA
| | - Holland Romero
- grid.265436.00000 0001 0421 5525Department of Medicine, Center for Neuroscience and Regenerative Medicine, Uniformed Services University, Bethesda, MD 20814 USA ,grid.201075.10000 0004 0614 9826Henry M. Jackson Foundation, Rockville, MD USA
| | - Diana Lee
- grid.265436.00000 0001 0421 5525Department of Medicine, Center for Neuroscience and Regenerative Medicine, Uniformed Services University, Bethesda, MD 20814 USA ,grid.201075.10000 0004 0614 9826Henry M. Jackson Foundation, Rockville, MD USA
| | - Matthew Menezes
- grid.265436.00000 0001 0421 5525Department of Medicine, Center for Neuroscience and Regenerative Medicine, Uniformed Services University, Bethesda, MD 20814 USA ,grid.201075.10000 0004 0614 9826Henry M. Jackson Foundation, Rockville, MD USA
| | - Elizabeth Magee
- grid.265436.00000 0001 0421 5525Department of Medicine, Center for Neuroscience and Regenerative Medicine, Uniformed Services University, Bethesda, MD 20814 USA ,grid.201075.10000 0004 0614 9826Henry M. Jackson Foundation, Rockville, MD USA
| | - Danielle J. Brooks
- grid.265436.00000 0001 0421 5525Department of Medicine, Center for Neuroscience and Regenerative Medicine, Uniformed Services University, Bethesda, MD 20814 USA ,grid.201075.10000 0004 0614 9826Henry M. Jackson Foundation, Rockville, MD USA
| | - Chen Lai
- grid.265436.00000 0001 0421 5525Department of Medicine, Center for Neuroscience and Regenerative Medicine, Uniformed Services University, Bethesda, MD 20814 USA ,grid.201075.10000 0004 0614 9826Henry M. Jackson Foundation, Rockville, MD USA
| | - Jessica Gill
- grid.265436.00000 0001 0421 5525Department of Medicine, Center for Neuroscience and Regenerative Medicine, Uniformed Services University, Bethesda, MD 20814 USA ,grid.94365.3d0000 0001 2297 5165National Institutes of Health, Bethesda, MD USA
| | - Suthee Wiri
- grid.422775.10000 0004 0477 9461Applied Research Associates, Albuquerque, NM USA
| | - Elizabeth Metzger
- grid.265436.00000 0001 0421 5525Department of Medicine, Center for Neuroscience and Regenerative Medicine, Uniformed Services University, Bethesda, MD 20814 USA ,grid.201075.10000 0004 0614 9826Henry M. Jackson Foundation, Rockville, MD USA
| | - J. Kent Werner
- grid.265436.00000 0001 0421 5525Department of Medicine, Center for Neuroscience and Regenerative Medicine, Uniformed Services University, Bethesda, MD 20814 USA
| | - Douglas Brungart
- grid.414467.40000 0001 0560 6544Walter Reed National Military Medical Center, Bethesda, MD USA
| | - Devon M. Kulinski
- grid.414467.40000 0001 0560 6544Walter Reed National Military Medical Center, Bethesda, MD USA
| | - Dominic Nathan
- grid.265436.00000 0001 0421 5525Department of Medicine, Center for Neuroscience and Regenerative Medicine, Uniformed Services University, Bethesda, MD 20814 USA ,grid.201075.10000 0004 0614 9826Henry M. Jackson Foundation, Rockville, MD USA
| | - Walter S. Carr
- grid.507680.c0000 0001 2230 3166Center for Military Psychiatry and Neuroscience, Walter Reed Army Institute of Research, Silver Spring, MD USA
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3
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Leisman G, Melillo R. Front and center: Maturational dysregulation of frontal lobe functional neuroanatomic connections in attention deficit hyperactivity disorder. Front Neuroanat 2022; 16:936025. [PMID: 36081853 PMCID: PMC9446472 DOI: 10.3389/fnana.2022.936025] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 07/29/2022] [Indexed: 12/21/2022] Open
Abstract
Frontal lobe function may not universally explain all forms of attention deficit hyperactivity disorder (ADHD) but the frontal lobe hypothesis described supports an internally consistent model for integrating the numerous behaviors associated with ADHD. The paper examines the developmental trajectories of frontal and prefrontal lobe development, framing ADHD as maturational dysregulation concluding that the cognitive, motor, and behavioral abilities of the presumptive majority of ADHD children may not primarily be disordered or dysfunctional but reflect maturational dysregulation that is inconsistent with the psychomotor and cognitive expectations for the child’s chronological and mental age. ADHD children demonstrate decreased activation of the right and middle prefrontal cortex. Prefrontal and frontal lobe regions have an exuberant network of shared pathways with the diencephalic region, also having a regulatory function in arousal as well as with the ascending reticular formation which has a capacity for response suppression to task-irrelevant stimuli. Prefrontal lesions oftentimes are associated with the regulatory breakdown of goal-directed activity and impulsivity. In conclusion, a presumptive majority of childhood ADHD may result from maturational dysregulation of the frontal lobes with effects on the direct, indirect and/or, hyperdirect pathways.
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Affiliation(s)
- Gerry Leisman
- Movement and Cognition Laboratory, Department of Physical Therapy, University of Haifa, Haifa, Israel
- Department of Neurology, University of Medical Sciences of Havana, Havana, Cuba
- *Correspondence: Gerry Leisman,
| | - Robert Melillo
- Movement and Cognition Laboratory, Department of Physical Therapy, University of Haifa, Haifa, Israel
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4
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Sasaki R, Watanabe H, Onishi H. Therapeutic benefits of noninvasive somatosensory cortex stimulation on cortical plasticity and somatosensory function: a systematic review. Eur J Neurosci 2022; 56:4669-4698. [PMID: 35804487 DOI: 10.1111/ejn.15767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 05/23/2022] [Accepted: 06/09/2022] [Indexed: 11/28/2022]
Abstract
Optimal limb coordination requires efficient transmission of somatosensory information to the sensorimotor cortex. The primary somatosensory cortex (S1) is frequently damaged by stroke, resulting in both somatosensory and motor impairments. Noninvasive brain stimulation (NIBS) to the primary motor cortex is thought to induce neural plasticity that facilitates neurorehabilitation. Several studies have also examined if NIBS to the S1 can enhance somatosensory processing as assessed by somatosensory-evoked potentials (SEPs) and improve behavioral task performance, but it remains uncertain if NIBS can reliably modulate S1 plasticity or even whether SEPs can reflect this plasticity. This systematic review revealed that NIBS has relatively minor effects on SEPs or somatosensory task performance, but larger early SEP changes after NIBS can still predict improved performance. Similarly, decreased paired-pulse inhibition in S1 post-NIBS is associated with improved somatosensory performance. However, several studies still debate the role of inhibitory function in somatosensory performance after NIBS in terms of the direction of the change (that, disinhibition or inhibition). Altogether, early SEP and paired-pulse inhibition (particularly inter-stimulus intervals of 30-100 ms) may become useful biomarkers for somatosensory deficits, but improved NIBS protocols are required for therapeutic applications.
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Affiliation(s)
- Ryoki Sasaki
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Niigata, Japan.,Discipline of Physiology, School of Biomedicine, The University of Adelaide, Adelaide, Australia
| | - Hiraku Watanabe
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Niigata, Japan.,Department of Physical Therapy, Niigata University of Health and Welfare, Niigata, Japan
| | - Hideaki Onishi
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, Niigata, Japan.,Department of Physical Therapy, Niigata University of Health and Welfare, Niigata, Japan
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5
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Kaur S, Espenhahn S, Bell T, Godfrey KJ, Nwaroh C, Giuffre A, Cole L, Beltrano W, Yan T, Stokoe M, Haynes L, Hou TY, Tommerdahl M, Bray S, Harris AD. Nonlinear age effects in tactile processing from early childhood to adulthood. Brain Behav 2022; 12:e2644. [PMID: 35676225 PMCID: PMC9304836 DOI: 10.1002/brb3.2644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 05/10/2022] [Accepted: 05/12/2022] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND Tactile processing plays a pivotal role in the early stages of human development; however, little is known about tactile function in young children. An understanding of how tactile processing changes with age from early childhood to adulthood is fundamental in understanding altered tactile experiences in neurodevelopmental disorders, such as autism spectrum disorder. METHODS In this cross-sectional study, 142 children and adults aged 3-23 years completed a vibrotactile testing battery consisting of 5 tasks, which rely on different cortical and cognitive mechanisms. The battery was designed to be suitable for testing in young children to investigate how tactile processing changes from early childhood to adulthood. RESULTS Our results suggest a pattern of rapid, age-related changes in tactile processing toward lower discrimination thresholds (lower discrimination thresholds = greater sensitivity) across early childhood, though we acknowledge limitations with cross-sectional data. Differences in the rate of change across tasks were observed, with tactile performance reaching adult-like levels at a younger age on some tasks compared to others. CONCLUSIONS While it is known that early childhood is a period of profound development including tactile processing, our data provides evidence for subtle differences in the developmental rate of the various underlying cortical, physical, and cognitive processes. Further, we are the first to show the feasibility of vibrotactile testing in early childhood (<6 years). The results of this work provide estimates of age-related differences in performance, which could have important implications as a reference for investigating altered tactile processing in developmental disorders.
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Affiliation(s)
- Sakshi Kaur
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Svenja Espenhahn
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Tiffany Bell
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Kate J Godfrey
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.,Department of Neuroscience, University of Calgary, Calgary, Alberta, Canada
| | - Chidera Nwaroh
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Adrianna Giuffre
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.,Department of Neuroscience, University of Calgary, Calgary, Alberta, Canada
| | - Lauran Cole
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.,Department of Neuroscience, University of Calgary, Calgary, Alberta, Canada
| | - Winnica Beltrano
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Tingting Yan
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Mehak Stokoe
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Logan Haynes
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Tasha Yuntao Hou
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Mark Tommerdahl
- Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Signe Bray
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Ashley D Harris
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
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6
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Dugré JR, Eickhoff SB, Potvin S. Meta-analytical transdiagnostic neural correlates in common pediatric psychiatric disorders. Sci Rep 2022; 12:4909. [PMID: 35318371 PMCID: PMC8941086 DOI: 10.1038/s41598-022-08909-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 03/09/2022] [Indexed: 01/04/2023] Open
Abstract
In the last decades, neuroimaging studies have attempted to unveil the neurobiological markers underlying pediatric psychiatric disorders. Yet, the vast majority of neuroimaging studies still focus on a single nosological category, which limit our understanding of the shared/specific neural correlates between these disorders. Therefore, we aimed to investigate the transdiagnostic neural correlates through a novel and data-driven meta-analytical method. A data-driven meta-analysis was carried out which grouped similar experiments’ topographic map together, irrespectively of nosological categories and task-characteristics. Then, activation likelihood estimation meta-analysis was performed on each group of experiments to extract spatially convergent brain regions. One hundred forty-seven experiments were retrieved (3124 cases compared to 3100 controls): 79 attention-deficit/hyperactivity disorder, 32 conduct/oppositional defiant disorder, 14 anxiety disorders, 22 major depressive disorders. Four significant groups of experiments were observed. Functional characterization suggested that these groups of aberrant brain regions may be implicated internally/externally directed processes, attentional control of affect, somato-motor and visual processes. Furthermore, despite that some differences in rates of studies involving major depressive disorders were noticed, nosological categories were evenly distributed between these four sets of regions. Our results may reflect transdiagnostic neural correlates of pediatric psychiatric disorders, but also underscore the importance of studying pediatric psychiatric disorders simultaneously rather than independently to examine differences between disorders.
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Affiliation(s)
- Jules R Dugré
- Research Center of the Institut Universitaire en Santé Mentale de Montréal, 7331 Hochelaga, Montreal, QC, H1N 3V2, Canada. .,Department of Psychiatry and Addictology, Faculty of Medicine, University of Montreal, Montreal, Canada.
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine (INM-7), Jülich, Germany.,Institute for Systems Neuroscience, Heinrich Heine University, Düsseldorf, Germany
| | - Stéphane Potvin
- Research Center of the Institut Universitaire en Santé Mentale de Montréal, 7331 Hochelaga, Montreal, QC, H1N 3V2, Canada. .,Department of Psychiatry and Addictology, Faculty of Medicine, University of Montreal, Montreal, Canada.
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7
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McGeown JP, Hume PA, Kara S, King D, Theadom A. Preliminary Evidence for the Clinical Utility of Tactile Somatosensory Assessments of Sport-Related mTBI. SPORTS MEDICINE - OPEN 2021; 7:56. [PMID: 34370132 PMCID: PMC8353035 DOI: 10.1186/s40798-021-00340-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Accepted: 06/23/2021] [Indexed: 11/28/2022]
Abstract
OBJECTIVES To evaluate the clinical utility of tactile somatosensory assessments to assist clinicians in diagnosing sport-related mild traumatic brain injury (SR-mTBI), classifying recovery trajectory based on performance at initial clinical assessment, and determining if neurophysiological recovery coincided with clinical recovery. RESEARCH DESIGN Prospective cohort study with normative controls. METHODS At admission (n = 79) and discharge (n = 45/79), SR-mTBI patients completed the SCAT-5 symptom scale, along with the following three components from the Cortical Metrics Brain Gauge somatosensory assessment (BG-SA): temporal order judgement (TOJ), TOJ with confounding condition (TOJc), and duration discrimination (DUR). To assist SR-mTBI diagnosis on admission, BG-SA performance was used in logistic regression to discriminate cases belonging to the SR-mTBI sample or a healthy reference sample (pooled BG-SA data for healthy participants in previous studies). Decision trees evaluated how accurately BG-SA performance classified SR-mTBI recovery trajectories. RESULTS BG-SA TOJ, TOJc, and DUR poorly discriminated between cases belonging to the SR-mTBI sample or a healthy reference sample (0.54-0.70 AUC, 47.46-64.71 PPV, 48.48-61.11 NPV). The BG-SA evaluated did not accurately classify SR-mTBI recovery trajectories (> 14-day resolution 48%, ≤14-day resolution 54%, lost to referral/follow-up 45%). Mann-Whitney U tests revealed differences in BG-SA TOJc performance between SR-mTBI participants and the healthy reference sample at initial clinical assessment and at clinical recovery (p < 0.05). CONCLUSIONS BG-SA TOJ, TOJc, and DUR appear to have limited clinical utility to assist clinicians with diagnosing SR-mTBI or predicting recovery trajectories under ecologically valid conditions. Neurophysiological abnormalities persisted beyond clinical recovery given abnormal BG-SA TOJc performance observed when SR-mTBI patients achieved clinical recovery.
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Affiliation(s)
- Joshua P McGeown
- Sports Performance Research Institute New Zealand (SPRINZ), Faculty of Health and Environmental Science, Auckland University of Technology, Private Bag 92006, Auckland, 1142, New Zealand.
- Traumatic Brain Injury Network, Auckland University of Technology, Auckland, New Zealand.
| | - Patria A Hume
- Sports Performance Research Institute New Zealand (SPRINZ), Faculty of Health and Environmental Science, Auckland University of Technology, Private Bag 92006, Auckland, 1142, New Zealand
- Traumatic Brain Injury Network, Auckland University of Technology, Auckland, New Zealand
| | - Stephen Kara
- Axis Sports Medicine Clinic, Auckland, New Zealand
| | - Doug King
- Sports Performance Research Institute New Zealand (SPRINZ), Faculty of Health and Environmental Science, Auckland University of Technology, Private Bag 92006, Auckland, 1142, New Zealand
- Traumatic Brain Injury Network, Auckland University of Technology, Auckland, New Zealand
- School of Science and Technology, University of New England, Armidale, NSW, Australia
| | - Alice Theadom
- Traumatic Brain Injury Network, Auckland University of Technology, Auckland, New Zealand
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8
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Guttentag S, Bishop S, Doggett R, Shalev R, Kaplan M, Dyson M, Cohen M, Lord C, Di Martino A. The utility of parent-report screening tools in differentiating autism versus attention-deficit/hyperactivity disorder in school-age children. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2021; 26:473-487. [PMID: 34219504 DOI: 10.1177/13623613211030071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
LAY ABSTRACT We tested the ability of a short, recently developed parent interview and two widely used parent-report questionnaires to discriminate school-age verbal children with autism spectrum disorder from those with attention-deficit/hyperactivity disorder without autism spectrum disorder (ADHDw/oASD). These measures included the Autism Symptom Interview - School-Age, the Social Responsiveness Scale - 2nd Edition, and the Social Communication Questionnaire - Lifetime. The classification accuracy of all three parent screeners fell in the moderate range. Accuracy varied by instrument, and the Social Communication Questionnaire - Lifetime questionniare showed the highest accuracy. Children with autism spectrum disorder who were incorrectly classified by all parent screeners did not differ from those correctly classified in regard to demographics, intellectual abilities, nor in any specific clinical area beyond general parent concerns. These findings showed that there are valid screening options for assessing school-age verbal children with autism spectrum disorder versus ADHDw/oASD. They also underscore the need to assess multiple sources of information for increased accuracy.
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Affiliation(s)
- Sara Guttentag
- Child Mind Institute, USA.,Ferkauf Graduate School of Psychology, Yeshiva University, USA.,Hassenfeld Children's Hospital at NYU Langone, USA
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9
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Favorov O, Challener T, Tommerdahl M. An Experimental Animal Model that Parallels Neurosensory Assessments of Concussion. Mil Med 2021; 186:552-558. [PMID: 33499481 DOI: 10.1093/milmed/usaa441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 08/18/2020] [Accepted: 11/16/2020] [Indexed: 11/13/2022] Open
Abstract
INTRODUCTION Tactile-based quantitative sensory assessments have proven successful in differentiating concussed vs. non-concussed individuals. One potential advantage of this methodology is that an experimental animal model can be used to obtain neurophysiological recordings of the neural activity in the somatosensory cortex evoked in response to the same tactile stimuli that are used in human sensory assessments and establish parallels between various metrics of stimulus-evoked cortical activity and perception of the stimulus attributes. MATERIALS AND METHODS Stimulus-evoked neural activity was recorded via extracellular microelectrodes in rat primary somatosensory cortex (S1) in response to vibrotactile stimuli that are used in two particular human sensory assessments (reaction time (RT) and amplitude discrimination). Experiments were conducted on healthy control and brain-injured (BI) rats. RESULTS Similar to the effects of mild traumatic brain injuries (mTBI) on human neurosensory assessments, comparable experimentally induced brain injuries in rats resulted in the following: (1) elevation of S1 responsivity to vibrotactile stimulation that depended nonlinearly on stimulus amplitude, significantly reducing its capacity to discriminate between stimuli of different amplitudes; (2) 50% reduction in S1 signal-to-noise ratios, which can be expected to contribute to elevation of RT in BI rats; and (3) 60% increase in intertrial variability of S1 responses to vibrotactile stimulation, which can be expected to contribute to elevation of RT variability in BI rats. CONCLUSIONS The results demonstrate suggestive similarities between neurophysiological observations made in the experimental rat mTBI model and observations made in post-concussion individuals with regard to three sensory assessment metrics (amplitude discrimination, RT, and RT variability). This is the first successful model that demonstrates that perceptual metrics obtained from human individuals are impacted by mTBI in a manner consistent with neurophysiological observations obtained from rat S1.
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Affiliation(s)
- Oleg Favorov
- Joint Department of Biomedical Engineering, University of North Carolina, Chapel Hill, NC, 27599-7575, USA
| | - Tim Challener
- Joint Department of Biomedical Engineering, University of North Carolina, Chapel Hill, NC, 27599-7575, USA
| | - Mark Tommerdahl
- Joint Department of Biomedical Engineering, University of North Carolina, Chapel Hill, NC, 27599-7575, USA.,Cortical Metrics LLC, Carrboro, NC, 27510, USA
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10
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Espenhahn S, Godfrey KJ, Kaur S, Ross M, Nath N, Dmitrieva O, McMorris C, Cortese F, Wright C, Murias K, Dewey D, Protzner AB, McCrimmon A, Bray S, Harris AD. Tactile cortical responses and association with tactile reactivity in young children on the autism spectrum. Mol Autism 2021; 12:26. [PMID: 33794998 PMCID: PMC8017878 DOI: 10.1186/s13229-021-00435-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 03/23/2021] [Indexed: 01/01/2023] Open
Abstract
Background Unusual behavioral reactions to sensory stimuli are frequently reported in individuals on the autism spectrum (AS). Despite the early emergence of sensory features (< age 3) and their potential impact on development and quality of life, little is known about the neural mechanisms underlying sensory reactivity in early childhood autism. Methods Here, we used electroencephalography (EEG) to investigate tactile cortical processing in young children aged 3–6 years with autism and in neurotypical (NT) children. Scalp EEG was recorded from 33 children with autism, including those with low cognitive and/or verbal abilities, and 45 age- and sex-matched NT children during passive tactile fingertip stimulation. We compared properties of early and later somatosensory-evoked potentials (SEPs) and their adaptation with repetitive stimulation between autistic and NT children and assessed whether these neural measures are linked to “real-world” parent-reported tactile reactivity. Results As expected, we found elevated tactile reactivity in children on the autism spectrum. Our findings indicated no differences in amplitude or latency of early and mid-latency somatosensory-evoked potentials (P50, N80, P100), nor adaptation between autistic and NT children. However, latency of later processing of tactile information (N140) was shorter in young children with autism compared to NT children, suggesting faster processing speed in young autistic children. Further, correlational analyses and exploratory analyses using tactile reactivity as a grouping variable found that enhanced early neural responses were associated with greater tactile reactivity in autism. Limitations The relatively small sample size and the inclusion of a broad range of autistic children (e.g., with low cognitive and/or verbal abilities) may have limited our power to detect subtle group differences and associations. Hence, replications are needed to verify these results. Conclusions Our findings suggest that electrophysiological somatosensory cortex processing measures may be indices of “real-world” tactile reactivity in early childhood autism. Together, these findings advance our understanding of the neurophysiological mechanisms underlying tactile reactivity in early childhood autism and, in the clinical context, may have therapeutic implications. Supplementary Information The online version contains supplementary material available at 10.1186/s13229-021-00435-9.
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Affiliation(s)
- Svenja Espenhahn
- Department of Radiology, Cumming School of Medicine, University of Calgary, 2500 University Drive NW, Calgary, AB, T2N 4N1, Canada. .,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, AB, Canada. .,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada. .,Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.
| | - Kate J Godfrey
- Department of Clinical Neuroscience, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, AB, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Sakshi Kaur
- Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, AB, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Maia Ross
- Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, AB, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Niloy Nath
- Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, AB, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Olesya Dmitrieva
- Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, AB, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Carly McMorris
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada.,The Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, AB, Canada.,Werklund School of Education, University of Calgary, Calgary, AB, Canada.,Department of Psychology, Faculty of Arts, University of Calgary, Calgary, AB, Canada
| | - Filomeno Cortese
- Department of Radiology, Cumming School of Medicine, University of Calgary, 2500 University Drive NW, Calgary, AB, T2N 4N1, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Charlene Wright
- Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, AB, Canada
| | - Kara Murias
- Department of Clinical Neuroscience, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Deborah Dewey
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.,Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Andrea B Protzner
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.,The Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, AB, Canada.,Department of Psychology, Faculty of Arts, University of Calgary, Calgary, AB, Canada
| | - Adam McCrimmon
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada.,Werklund School of Education, University of Calgary, Calgary, AB, Canada
| | - Signe Bray
- Department of Radiology, Cumming School of Medicine, University of Calgary, 2500 University Drive NW, Calgary, AB, T2N 4N1, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, AB, Canada.,Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Ashley D Harris
- Department of Radiology, Cumming School of Medicine, University of Calgary, 2500 University Drive NW, Calgary, AB, T2N 4N1, Canada.,Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, AB, Canada.,Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
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11
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The development of visuotactile congruency effects for sequences of events. J Exp Child Psychol 2021; 207:105094. [PMID: 33714049 DOI: 10.1016/j.jecp.2021.105094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 12/11/2020] [Accepted: 01/07/2021] [Indexed: 11/23/2022]
Abstract
Sensitivity to the temporal coherence of visual and tactile signals increases perceptual reliability and is evident during infancy. However, it is not clear how, or whether, bidirectional visuotactile interactions change across childhood. Furthermore, no study has explored whether viewing a body modulates how children perceive visuotactile sequences of events. Here, children aged 5-7 years (n = 19), 8 and 9 years (n = 21), and 10-12 years (n = 24) and adults (n = 20) discriminated the number of target events (one or two) in a task-relevant modality (touch or vision) and ignored distractors (one or two) in the opposing modality. While participants performed the task, an image of either a hand or an object was presented. Children aged 5-7 years and 8 and 9 years showed larger crossmodal interference from visual distractors when discriminating tactile targets than the converse. Across age groups, this was strongest when two visual distractors were presented with one tactile target, implying a "fission-like" crossmodal effect (perceiving one event as two events). There was no influence of visual context (viewing a hand or non-hand image) on visuotactile interactions for any age group. Our results suggest robust interference from discontinuous visual information on tactile discrimination of sequences of events during early and middle childhood. These findings are discussed with respect to age-related changes in sensory dominance, selective attention, and multisensory processing.
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12
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Buyuktaskin D, Iseri E, Guney E, Gunendi Z, Cengiz B. Somatosensory Temporal Discrimination in Autism Spectrum Disorder. Autism Res 2021; 14:656-667. [PMID: 33522138 DOI: 10.1002/aur.2479] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 12/15/2020] [Accepted: 12/20/2020] [Indexed: 12/14/2022]
Abstract
Sensory differences are common in Autism Spectrum Disorder (ASD). While there is no well-accepted method to measure sensory differences objectively, there is accumulating evidence from recent years concerning sensory perception, including data concerning temporal discrimination thresholds of individuals with ASD as measured by different measures. The somatosensory temporal discrimination (STD) test measures the threshold at which an individual can temporally discriminate multiple tactile stimuli delivered in succession. We aimed to investigate tactile perception in ASD and hypothesized that children with ASD have impaired STD related to their subjective sensory symptoms and daily difficulties. Thirty adolescents with ASD and 30 typically developed subjects were recruited. The Childhood Autism Rating Scale, Strengths and Difficulties Questionnaire, and Adolescent/Adult Sensory Profile were implemented before STD evaluation. Average somatosensory detection (1.48 ± 0.42) and discrimination thresholds (112.70 ± 43.45) of the children with ASD were significantly higher (P = 0.010, P = 0.001, respectively) than those of the controls (1.18 ± 0.42, 79.95 ± 31.60, respectively). Sensory seeking scores of the ASD group (40.8 ± 7.60) were significantly lower (P = 0.024) than those of the control group (45.83 ± 9.17). However, the psychophsycal thresholds did not have any statistically significant relationships with subjective sensory symptoms or daily difficulties. This study demonstrates impaired sensory processing in ASD evaluated by STD and its lack of relationship with subjective sensory symptoms and daily difficulties. This psychophysical evidence of increased STD thresholds and decreased sensory seeking profile supports the disturbances in the regulation of sensory processing in ASD. LAY SUMMARY: Sensory differences are common in autism; however, there is no well-accepted method to measure them objectively. This study aims to investigate somatosensory differences and their relation with sensory and emotional/behavioral difficulties of children with autism. We show that autistic children have higher tactile discrimination thresholds and fewer sensory seeking behaviors. This supports the presence of impairments in sensory processing in autism. Measuring the sensory differences may help understanding clinical symptoms and neurobiological underpinings of autism. Autism Res 2021, 14: 656-667. © 2021 International Society for Autism Research and Wiley Periodicals LLC.
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Affiliation(s)
- Dicle Buyuktaskin
- Department of Child and Adolescent Psychiatry, Cizre Dr. Selahattin Cizrelioglu State Hospital, Sirnak, Turkey.,Department of Child and Adolescent Psychiatry, Gazi University, Ankara, Turkey
| | - Elvan Iseri
- Department of Child and Adolescent Psychiatry, Gazi University, Ankara, Turkey
| | - Esra Guney
- Department of Child and Adolescent Psychiatry, Gazi University, Ankara, Turkey
| | - Zafer Gunendi
- Department of Physical Therapy and Rehabilitation, Gazi University, Ankara, Turkey
| | - Bulent Cengiz
- Department of Neurology, Gazi University, Ankara, Turkey
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13
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Piccardi ES, Begum Ali J, Jones EJH, Mason L, Charman T, Johnson MH, Gliga T. Behavioural and neural markers of tactile sensory processing in infants at elevated likelihood of autism spectrum disorder and/or attention deficit hyperactivity disorder. J Neurodev Disord 2021; 13:1. [PMID: 33390154 PMCID: PMC7780639 DOI: 10.1186/s11689-020-09334-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Accepted: 11/04/2020] [Indexed: 12/29/2022] Open
Abstract
Backgrounds Atypicalities in tactile processing are reported in autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) but it remains unknown if they precede and associate with the traits of these disorders emerging in childhood. We investigated behavioural and neural markers of tactile sensory processing in infants at elevated likelihood of ASD and/or ADHD compared to infants at typical likelihood of the disorders. Further, we assessed the specificity of associations between infant markers and later ASD or ADHD traits. Methods Ninety-one 10-month-old infants participated in the study (n = 44 infants at elevated likelihood of ASD; n = 20 infants at elevated likelihood of ADHD; n = 9 infants at elevated likelihood of ASD and ADHD; n = 18 infants at typical likelihood of the disorders). Behavioural and EEG responses to pairs of tactile stimuli were experimentally recorded and concurrent parental reports of tactile responsiveness were collected. ASD and ADHD traits were measured at 24 months through standardized assessment (ADOS-2) and parental report (ECBQ), respectively. Results There was no effect of infants’ likelihood status on behavioural markers of tactile sensory processing. Conversely, increased ASD likelihood associated with reduced neural repetition suppression to tactile input. Reduced neural repetition suppression at 10 months significantly predicted ASD (but not ADHD) traits at 24 months across the entire sample. Elevated tactile sensory seeking at 10 months moderated the relationship between early reduced neural repetition suppression and later ASD traits. Conclusions Reduced tactile neural repetition suppression is an early marker of later ASD traits in infants at elevated likelihood of ASD or ADHD, suggesting that a common pathway to later ASD traits exists despite different familial backgrounds. Elevated tactile sensory seeking may act as a protective factor, mitigating the relationship between early tactile neural repetition suppression and later ASD traits.
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Affiliation(s)
- Elena Serena Piccardi
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, London, UK.
| | - Jannath Begum Ali
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, London, UK
| | - Emily J H Jones
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, London, UK
| | - Luke Mason
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, London, UK
| | - Tony Charman
- Institute of Psychiatry, Psychology & Neuroscience, Psychology Department, King's College London, London, UK
| | - Mark H Johnson
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, London, UK.,Department of Psychology, Cambridge University, Cambridge, UK
| | - Teodora Gliga
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, London, UK.,Department of Psychology, University of East Anglia, Norwich, UK
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14
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Mikami M, Hirota T, Takahashi M, Adachi M, Saito M, Koeda S, Yoshida K, Sakamoto Y, Kato S, Nakamura K, Yamada J. Atypical Sensory Processing Profiles and Their Associations With Motor Problems In Preschoolers With Developmental Coordination Disorder. Child Psychiatry Hum Dev 2021; 52:311-320. [PMID: 32529540 PMCID: PMC7973923 DOI: 10.1007/s10578-020-01013-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
The aims of this study were to identify sensory processing profiles specific to preschoolers with DCD in a community sample and examine the association of sensory processing problems with motor coordination difficulties in these children. Sixty-three 5-year-old children with DCD and without other neurodevelopmental disorders and 106 age-matched typically developing children participated in this study. Sensory processing problems were assessed using the Sensory Profile. Our results demonstrated problems in wide sensory processing patterns (low registration, sensitivity and avoiding) and areas (auditory, vestibular, touch and oral) in children with DCD compared with typically developing children. Additionally, the association of problems in sensory processing patterns (sensitivity and avoiding) and areas (touch and auditory) with motor coordination difficulties were identified in children with DCD alone. Our findings indicate that sensory processing abnormalities may contribute to the pathophysiology of DCD, suggesting the importance of assessing sensory processing functions in children with DCD.
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Affiliation(s)
- Misaki Mikami
- grid.257016.70000 0001 0673 6172Department of Comprehensive Rehabilitation Science, Graduate School of Health Sciences, Hirosaki University, 66-1 Honcho, Hirosaki, Aomori, Japan ,grid.54432.340000 0004 0614 710XResearch Fellow of Japan Society for the Promotion of Science, Tokyo, Japan
| | - Tomoya Hirota
- grid.266102.10000 0001 2297 6811Department of Psychiatry, University of California San Francisco, San Francisco, USA ,grid.257016.70000 0001 0673 6172Department of Neuropsychiatry, Graduate School of Medicine, Hirosaki University, Hirosaki, Japan
| | - Michio Takahashi
- grid.257016.70000 0001 0673 6172Department of Clinical Psychological Science, Graduate School of Health Sciences, Hirosaki University, Hirosaki, Japan ,grid.257016.70000 0001 0673 6172Research Center for Child Mental Development, Graduate School of Medicine, Hirosaki University, Hirosaki, Japan
| | - Masaki Adachi
- grid.257016.70000 0001 0673 6172Department of Clinical Psychological Science, Graduate School of Health Sciences, Hirosaki University, Hirosaki, Japan ,grid.257016.70000 0001 0673 6172Research Center for Child Mental Development, Graduate School of Medicine, Hirosaki University, Hirosaki, Japan
| | - Manabu Saito
- grid.257016.70000 0001 0673 6172Department of Neuropsychiatry, Graduate School of Medicine, Hirosaki University, Hirosaki, Japan
| | - Shuhei Koeda
- grid.257016.70000 0001 0673 6172Department of Comprehensive Rehabilitation Science, Graduate School of Health Sciences, Hirosaki University, 66-1 Honcho, Hirosaki, Aomori, Japan
| | - Kazutaka Yoshida
- grid.257016.70000 0001 0673 6172Department of Neuropsychiatry, Graduate School of Medicine, Hirosaki University, Hirosaki, Japan
| | - Yui Sakamoto
- grid.257016.70000 0001 0673 6172Department of Neuropsychiatry, Graduate School of Medicine, Hirosaki University, Hirosaki, Japan
| | - Sumi Kato
- grid.443302.20000 0004 0369 9531Department of Management and Low, Aomori Chuo Gakuin University, Aomori, Japan
| | - Kazuhiko Nakamura
- grid.257016.70000 0001 0673 6172Department of Neuropsychiatry, Graduate School of Medicine, Hirosaki University, Hirosaki, Japan ,grid.257016.70000 0001 0673 6172Research Center for Child Mental Development, Graduate School of Medicine, Hirosaki University, Hirosaki, Japan
| | - Junko Yamada
- Department of Comprehensive Rehabilitation Science, Graduate School of Health Sciences, Hirosaki University, 66-1 Honcho, Hirosaki, Aomori, Japan.
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15
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Hirvikoski T, Lajic S, Jokinen J, Renhorn E, Trillingsgaard A, Kadesjö B, Gillberg C, Borg J. Using the five to fifteen-collateral informant questionnaire for retrospective assessment of childhood symptoms in adults with and without autism or ADHD. Eur Child Adolesc Psychiatry 2021; 30:1367-1381. [PMID: 32710229 PMCID: PMC8440248 DOI: 10.1007/s00787-020-01600-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2019] [Accepted: 07/08/2020] [Indexed: 11/25/2022]
Abstract
Due to lack of previous studies, we aimed at evaluating the use of the Five to Fifteen (FTF) questionnaire in adults with neurodevelopmental disorders (NDD) and in controls without NDD. The NDD group consisted of adults with autism spectrum disorder ASD (n = 183) or attention-deficit/hyperactivity disorder (ADHD) (n = 174) without intellectual disability, recruited from a tertiary outpatient clinic. A web survey was used to collect data from general population adult control group without NDD (n = 738). The participants were retrospectively rated by their parents regarding childhood symptoms, using five to fifteen-collateral informant questionnaire (FTF-CIQ). Adults with NDD had higher FTF-CIQ domain and subdomain scores than controls, and displayed similar test profiles as children with corresponding diagnosis in previous studies. Based on the FTF-CIQ domain scores, 84.2% of the study participants (93% of the controls; 64% of the adults with NDD) were correctly classified in a logistic regression analysis. Likewise, Receiver Operating Characteristic (ROC) curve analysis on FTF-CIQ total sum score indicated that a cut-off value of 20.50 correctly classified 90% of the controls and 67% of the clinical cases, whilst a cut-off value of 30.50 correctly classified 84% of the controls and 77% of the clinical cases. The factor analysis revealed three underlying components: learning difficulties, cognitive and executive functions; social skills and emotional/behavioural symptoms; as well as motor and perceptual skills. Whilst not designed as a diagnostic instrument, the FTF-CIQ may be useful for providing information on childhood symptoms and associated difficulties in individuals assessed for NDD as adults.
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Affiliation(s)
- Tatja Hirvikoski
- Pediatric Neuropsychiatry Unit, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.
- Habilitation and Health, Region Stockholm, Stockholm, Sweden.
- Center for Psychiatry Research, Region Stockholm, Stockholm, Sweden.
- Center for Neurodevelopmental Disorders at Karolinska Institutet (KIND), CAP Research Center, Gävlegatan 22B, 11330, Stockholm, Sweden.
| | - S Lajic
- Pediatric Endocrinology Unit, Department of Women's and Children's Health, Karolinska InstitutetKarolinska University Hospital, Stockholm, Sweden
| | - J Jokinen
- Center for Psychiatry Research, Region Stockholm, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - E Renhorn
- Pediatric Neuropsychiatry Unit, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
- Habilitation and Health, Region Stockholm, Stockholm, Sweden
| | | | - B Kadesjö
- Gillberg Neuropsychiatry Centre, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Sahlgrenska University Hospital, Gothenburg, Sweden
| | - C Gillberg
- Gillberg Neuropsychiatry Centre, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Sahlgrenska University Hospital, Gothenburg, Sweden
| | - J Borg
- Center for Psychiatry Research, Region Stockholm, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
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16
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Holden J, Francisco E, Tommerdahl A, Lensch R, Kirsch B, Zai L, Pearce AJ, Favorov OV, Dennis RG, Tommerdahl M. Methodological Problems With Online Concussion Testing. Front Hum Neurosci 2020; 14:509091. [PMID: 33132870 PMCID: PMC7559397 DOI: 10.3389/fnhum.2020.509091] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Accepted: 08/26/2020] [Indexed: 01/25/2023] Open
Abstract
Reaction time testing is widely used in online computerized concussion assessments, and most concussion studies utilizing the metric have demonstrated varying degrees of difference between concussed and non-concussed individuals. The problem with most of these online concussion assessments is that they predominantly rely on consumer grade technology. Typical administration of these reaction time tests involves presenting a visual stimulus on a computer monitor and prompting the test subject to respond as quickly as possible via keypad or computer mouse. However, inherent delays and variabilities are introduced to the reaction time measure by both computer and associated operating systems that the concussion assessment tool is installed on. The authors hypothesized systems that are typically used to collect concussion reaction time data would demonstrate significant errors in reaction time measurements. To remove human bias, a series of experiments was conducted robotically to assess timing errors introduced by reaction time tests under four different conditions. In the first condition, a visual reaction time test was conducted by flashing a visual stimulus on a computer monitor. Detection was via photodiode and mechanical response was delivered via computer mouse. The second condition employed a mobile device for the visual stimulus, and the mechanical response was delivered to the mobile device's touchscreen. The third condition simulated a tactile reaction time test, and mechanical response was delivered via computer mouse. The fourth condition also simulated a tactile reaction time test, but response was delivered to a dedicated device designed to store the interval between stimulus delivery and response, thus bypassing any problems hypothesized to be introduced by computer and/or computer software. There were significant differences in the range of responses recorded from the four different conditions with the reaction time collected from visual stimulus on a mobile device being the worst and the device with dedicated hardware designed for the task being the best. The results suggest that some of the commonly used visual tasks on consumer grade computers could be (and have been) introducing significant errors for reaction time testing and that dedicated hardware designed for the reaction time task is needed to minimize testing errors.
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Affiliation(s)
| | | | | | | | - Bryan Kirsch
- Cortical Metrics LLC, Carrboro, NC, United States
| | - Laila Zai
- Lucent Research, Denver, CO, United States
| | - Alan J Pearce
- College of Health Science and Engineering, LaTrobe University, Melbourne, VIC, Australia
| | - Oleg V Favorov
- Department of Biomedical Engineering, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Robert G Dennis
- Cortical Metrics LLC, Carrboro, NC, United States.,Department of Biomedical Engineering, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Mark Tommerdahl
- Cortical Metrics LLC, Carrboro, NC, United States.,Department of Biomedical Engineering, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
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17
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Puts NA, Ryan M, Oeltzschner G, Horska A, Edden RAE, Mahone EM. Reduced striatal GABA in unmedicated children with ADHD at 7T. Psychiatry Res Neuroimaging 2020; 301:111082. [PMID: 32438277 DOI: 10.1016/j.pscychresns.2020.111082] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Revised: 03/30/2020] [Accepted: 03/31/2020] [Indexed: 12/12/2022]
Abstract
Attention-deficit hyperactive disorder (ADHD) is characterized by inattention and increased impulsive and hypermotoric behaviors.Despite the high prevalence and impact of ADHD, little is known about the underlying neurophysiology of ADHD. The main inhibitory and excitatory neurotransmitters γ-aminobutyric acid (GABA) and glutamate are receiving increased attention in ADHD and can be measured using Magnetic Resonance Spectroscopy (MRS). However, MRS studies in ADHD are limited. We measured GABA and glutamate in young unmedicated participants, utilizing high magnetic field strength. Fifty unmedicated children (26 with ADHD, 24 controls) aged 5-9 years completed MRS at 7T and behavioral testing. GABA and glutamate were measured in dorsolateral prefrontal cortex (DLPFC), anterior cingulate cortex (ACC), premotor cortex (PMC), and striatum, and estimated using LCModel. Children with ADHD showed poorer inhibitory control and significantly reduced GABA/Cr in the striatum, but not in ACC, DLPFC, or PMC regions. There were no significant group differences for Glu/Cr levels, or correlations with behavioral manifestations of ADHD. The primary finding of this study is a reduction of striatal GABA levels in unmedicated children with ADHD at 7T. These findings provide guidance for future studies or interventions. Reduced striatal GABA may be a marker for specific GABA-related treatment for ADHD.
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Affiliation(s)
- Nicolaas A Puts
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, 600 N Wolfe St., Baltimore, MD 21287, United States; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, 707 N Broadway, Baltimore, MD 21205, United States; Department of Forensic and Neurodevelopmental Sciences, Sackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigny Park, London, SE5 8AB, United Kingdom.
| | - Matthew Ryan
- Department of Neuropsychology, Kennedy Krieger Institute, 1750 E. Fairmount Ave., Baltimore, MD 21231 United States
| | - Georg Oeltzschner
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, 600 N Wolfe St., Baltimore, MD 21287, United States; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, 707 N Broadway, Baltimore, MD 21205, United States
| | - Alena Horska
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, 600 N Wolfe St., Baltimore, MD 21287, United States
| | - Richard A E Edden
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, 600 N Wolfe St., Baltimore, MD 21287, United States; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, 707 N Broadway, Baltimore, MD 21205, United States
| | - E Mark Mahone
- Department of Neuropsychology, Kennedy Krieger Institute, 1750 E. Fairmount Ave., Baltimore, MD 21231 United States; Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University School of Medicine, 600 N Wolfe St., Baltimore, MD 21287, United States
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Espenhahn S, Yan T, Beltrano W, Kaur S, Godfrey K, Cortese F, Bray S, Harris AD. The effect of movie-watching on electroencephalographic responses to tactile stimulation. Neuroimage 2020; 220:117130. [PMID: 32622982 DOI: 10.1016/j.neuroimage.2020.117130] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 05/28/2020] [Accepted: 06/29/2020] [Indexed: 12/22/2022] Open
Abstract
Movie-watching is becoming a popular acquisition method to increase compliance and enable neuroimaging data collection in challenging populations such as children, with potential to facilitate studying the somatosensory system. However, relatively little is known about the possible crossmodal (audiovisual) influence of movies on cortical somatosensory processing. In this study, we examined the impact of dynamic audiovisual movies on concurrent cortical somatosensory processing using electroencephalography (EEG). Forty healthy young adults (18-25 years) received passive tactile fingertip stimulation while watching an "entertaining" movie and a novel "low-demand" movie called 'Inscapes' compared to eyes-open rest. Watching a movie did not modulate properties of early or late somatosensory-evoked potentials (SEPs). Similarly, no crossmodal influence on somatosensory adaptation, denoted by a reduction in SEP amplitude with repetitive tactile stimulation, was found. The prominent oscillatory responses in the alpha and beta frequency bands following tactile stimulation differed as a function of viewing condition, with stronger alpha/beta event-related desynchronization (ERD) during movie-watching compared to rest. These findings highlight that movie-watching is a valid acquisition method during which SEPs can be measured in basic research and clinical studies, but that the attentional demands of movies need to be taken into account when performing oscillatory analyses.
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Affiliation(s)
- Svenja Espenhahn
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada; Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.
| | - Tingting Yan
- Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada; Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Winnica Beltrano
- Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada; Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Sakshi Kaur
- Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada; Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Kate Godfrey
- Department of Neuroscience, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada; Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
| | - Filomeno Cortese
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Signe Bray
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada; Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Ashley D Harris
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Child and Adolescent Imaging Research (CAIR) Program, University of Calgary, Calgary, Alberta, Canada; Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
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19
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Boehme R, Frost Karlsson M, Heilig M, Olausson H, Capusan AJ. Sharpened self-other distinction in attention deficit hyperactivity disorder. Neuroimage Clin 2020; 27:102317. [PMID: 32599550 PMCID: PMC7327378 DOI: 10.1016/j.nicl.2020.102317] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 06/02/2020] [Accepted: 06/13/2020] [Indexed: 01/02/2023]
Abstract
INTRODUCTION Differentiation between self-produced tactile stimuli and touch by others is necessary for social interactions and for a coherent concept of "self". In attention-deficit-hyperactivity-disorder (ADHD), tactile hypersensitivity and social cognition problems are part of the symptomatology, but pathophysiological mechanisms are largely unknown. Differentiation of self- and non-self- generated sensations might be key to understand and develop novel strategies for managing hypersensitivity. Here, we compared the neural signatures of affective self- and other-touch between adults with ADHD and neurotypical controls (NC). METHODS Twenty-eight adult ADHD participants and 30 age- and gender-matched NC performed a self-other-touch-task during functional magnetic resonance imaging: they stroked their own arm, an object, or were stroked by the experimenter. In addition, tactile detection thresholds and rubber hand illusion (RHI) were measured. RESULTS ADHD participants had more autistic traits than NC and reported to engage less in interpersonal touch. They also reported to be more sensitive to tactile stimuli. Compared to NC, ADHD participants showed enhanced responses to both the self- and other-touch conditions: stronger deactivation during self-touch in the anterior and posterior insula, and increased activation during other-touch in primary somatosensory cortex. ADHD participants had intact tactile detection thresholds, but were less susceptible to the RHI. CONCLUSIONS Unaltered detection thresholds suggest that peripheral processing is intact, and that hypersensitivity might be driven by central mechanisms. This has clinical implications for managing somatosensory hypersensitivity in ADHD. The more pronounced differentiation between self- and other-touch might indicate a clearer self-other-distinction. This is of interest regarding body ownership perception in both NC and ADHD, and possibly other psychiatric conditions with altered self-experiences, like schizophrenia. A sharper boundary of the own body might relate to deficits in social cognition and tactile hypersensitivity.
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Affiliation(s)
- Rebecca Boehme
- Center for Social and Affective Neuroscience, Linköping University, Department of Biomedical and Clinical Sciences, 58185 Linköping, Sweden; Center for Medical Imaging and Visualization, Linköping University, 58185 Linköping, Sweden.
| | - Morgan Frost Karlsson
- Center for Social and Affective Neuroscience, Linköping University, Department of Biomedical and Clinical Sciences, 58185 Linköping, Sweden
| | - Markus Heilig
- Center for Social and Affective Neuroscience, Linköping University, Department of Biomedical and Clinical Sciences, 58185 Linköping, Sweden; Department of Psychiatry, Linköping University, 58185 Linköping, Sweden; Center for Medical Imaging and Visualization, Linköping University, 58185 Linköping, Sweden
| | - Håkan Olausson
- Center for Social and Affective Neuroscience, Linköping University, Department of Biomedical and Clinical Sciences, 58185 Linköping, Sweden; Department of Clinical Neurophysiology, Linköping University Hospital, 58185 Linköping, Sweden; Center for Medical Imaging and Visualization, Linköping University, 58185 Linköping, Sweden
| | - Andrea Johansson Capusan
- Center for Social and Affective Neuroscience, Linköping University, Department of Biomedical and Clinical Sciences, 58185 Linköping, Sweden; Department of Psychiatry, Linköping University, 58185 Linköping, Sweden
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20
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Tommerdahl M, Francisco E, Holden J, Lensch R, Tommerdahl A, Kirsch B, Dennis R, Favorov O. An Accurate Measure of Reaction Time can Provide Objective Metrics of Concussion. ACTA ACUST UNITED AC 2020. [DOI: 10.37714/josam.v2i2.31] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
There have been numerous reports of neurological assessments of post-concussed athletes and many deploy some type of reaction time assessment. However, most of the assessment tools currently deployed rely on consumer-grade computer systems to collect this data. In a previous report, we demonstrated the inaccuracies that typical computer systems introduce to hardware and software to collect these metrics with robotics (Holden et al, 2020). In that same report, we described the accuracy of a tactile based reaction time test (administered with the Brain Gauge) as approximately 0.3 msec and discussed the shortcoming of other methods for collecting reaction time. The latency errors introduced with those alternative methods were reported as high as 400 msec and the system variabilities could be as high as 80 msec, and these values are several orders of magnitude above the control values previously reported for reaction time (200-220msec) and reaction time variability (10-20 msec). In this report, we examined the reaction time and reaction time variability from 396 concussed individuals and found that there were significant differences in the reaction time metrics obtained from concussed and non-concussed individuals for 14-21 days post-concussion. A survey of the literature did not reveal comparable sensitivity in reaction time testing in concussion studies using alternative methods. This finding was consistent with the prediction put forth by Holden and colleagues with robotics testing of the consumer grade computer systems that are commonly utilized by researchers conducting reaction time testing on concussed individuals. The significant difference in fidelity between the methods commonly used by concussion researchers is attributed to the differences in accuracy of the measures deployed and/or the increases in biological fidelity introduced by tactile based reaction times over visually administered reaction time tests. Additionally, while most of the commonly used computerized testing assessment tools require a pre-season baseline test to predict a neurological insult, the tactile based methods reported in this paper did not utilize any baselines for comparisons. The reaction time data reported was one test of a battery of tests administered to the population studied, and this is the first of a series of papers that will examine each of those tests independently.
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21
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Mikkelsen M, He J, Tommerdahl M, Edden RAE, Mostofsky SH, Puts NAJ. Reproducibility of flutter-range vibrotactile detection and discrimination thresholds. Sci Rep 2020; 10:6528. [PMID: 32300187 PMCID: PMC7162987 DOI: 10.1038/s41598-020-63208-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Accepted: 02/18/2020] [Indexed: 11/24/2022] Open
Abstract
Somatosensory processing can be probed empirically through vibrotactile psychophysical experiments. Psychophysical approaches are valuable for investigating both normal and abnormal tactile function in healthy and clinical populations. To date, the test-retest reliability of vibrotactile detection and discrimination thresholds has yet to be established. This study sought to assess the reproducibility of vibrotactile detection and discrimination thresholds in human adults using an established vibrotactile psychophysical battery. Fifteen healthy adults underwent three repeat sessions of an eleven-task battery that measured a range of vibrotactile measures, including reaction time, detection threshold, amplitude and frequency discrimination, and temporal order judgement. Coefficients of variation and intraclass correlation coefficients (ICCs) were calculated for the measures in each task. Linear mixed-effects models were used to test for length and training effects and differences between tasks within the same domain. Reaction times were shown to be the most reproducible (ICC: ~0.9) followed by detection thresholds (ICC: ~0.7). Frequency discrimination thresholds were the least reproducible (ICC: ~0.3). As reported in prior studies, significant differences in measures between related tasks were also found, demonstrating the reproducibility of task-related effects. These findings show that vibrotactile detection and discrimination thresholds are reliable, further supporting the use of psychophysical experiments to probe tactile function.
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Affiliation(s)
- Mark Mikkelsen
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
- F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Jason He
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mark Tommerdahl
- Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Richard A E Edden
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
- F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Stewart H Mostofsky
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, USA
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nicolaas A J Puts
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA.
- Department of Forensic and Neurodevelopmental Sciences, Sackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK.
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22
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Rahman MS, Yau JM. Somatosensory interactions reveal feature-dependent computations. J Neurophysiol 2019; 122:5-21. [DOI: 10.1152/jn.00168.2019] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Our ability to perceive and discriminate textures is based on the processing of high-frequency vibrations generated on the fingertip as it scans across a surface. Although much is known about the processing of vibration amplitude and frequency information when cutaneous stimulation is experienced at a single location on the body, how these stimulus features are processed when touch occurs at multiple locations is poorly understood. We evaluated participants’ ability to discriminate tactile cues (100–300 Hz) on one hand while they ignored distractor cues experienced on their other hand. We manipulated the relative positions of the hands to characterize how limb position influenced cutaneous touch interactions. In separate experiments, participants judged either the frequency or intensity of mechanical vibrations. We found that vibrations experienced on one hand always systematically modulated the perception of vibrations on the other hand. Notably, bimanual interaction patterns and their sensitivity to hand locations differed according to stimulus feature. Somatosensory interactions in intensity perception were only marked by attenuation that was invariant to hand position manipulations. In contrast, interactions in frequency perception consisted of both bias and sensitivity changes that were more pronounced when the hands were held in close proximity. We implemented models to infer the neural computations that mediate somatosensory interactions in the intensity and frequency dimensions. Our findings reveal obligatory and feature-dependent somatosensory interactions that may be supported by both feature-specific and feature-general operations. NEW & NOTEWORTHY Little is known about the neural computations mediating feature-specific sensory interactions between the hands. We show that vibrations experienced on one hand systematically modulate the perception of vibrations felt on the other hand. Critically, interaction patterns and their dependence on the relative positions of the hands differed depending on whether participants judged vibration intensity or frequency. These results, which we recapitulate with models, imply that somatosensory interactions are mediated by feature-dependent neural computations.
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Affiliation(s)
| | - Jeffrey M. Yau
- Department of Neuroscience, Baylor College of Medicine, Houston, Texas
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23
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Navarra RL, Waterhouse BD. Considering noradrenergically mediated facilitation of sensory signal processing as a component of psychostimulant-induced performance enhancement. Brain Res 2019; 1709:67-80. [DOI: 10.1016/j.brainres.2018.06.027] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2018] [Revised: 06/12/2018] [Accepted: 06/19/2018] [Indexed: 10/28/2022]
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