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Samoylov I, Arcara G, Buyanova I, Davydova E, Pereverzeva D, Sorokin A, Tyushkevich S, Mamokhina U, Danilina K, Dragoy O, Arutiunian V. Altered neural synchronization in response to 2 Hz amplitude-modulated tones in the auditory cortex of children with Autism Spectrum Disorder: An MEG study. Int J Psychophysiol 2024; 203:112405. [PMID: 39053734 DOI: 10.1016/j.ijpsycho.2024.112405] [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: 03/31/2024] [Revised: 05/13/2024] [Accepted: 07/17/2024] [Indexed: 07/27/2024]
Abstract
OBJECTIVE Some studies have hypothesized that atypical neural synchronization at the delta frequency band in the auditory cortex is associated with phonological and language skills in children with Autism Spectrum Disorder (ASD), but it is still poorly understood. This study investigated this neural activity and addressed the relationships between auditory response and behavioral measures of children with ASD. METHODS We used magnetoencephalography and individual brain models to investigate 2 Hz Auditory Steady-State Response (ASSR) in 20 primary-school-aged children with ASD and 20 age-matched typically developing (TD) controls. RESULTS First, we found a between-group difference in the localization of the auditory response, so as the topology of 2 Hz ASSR was more superior and posterior in TD children when comparing to children with ASD. Second, the power of 2 Hz ASSR was reduced in the ASD group. Finally, we observed a significant association between the amplitude of neural response and language skills in children with ASD. CONCLUSIONS The study provided the evidence of reduced neural response in children with ASD and its relation to language skills. SIGNIFICANCE These findings may inform future interventions targeting auditory and language impairments in ASD population.
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Affiliation(s)
- Ilya Samoylov
- Center for Language and Brain, HSE University, Moscow, Russia.
| | | | - Irina Buyanova
- Center for Language and Brain, HSE University, Moscow, Russia; University of Otago, Dunedin, New Zealand
| | - Elizaveta Davydova
- Federal Resource Center for ASD, Moscow State University of Psychology and Education, Moscow, Russia; Chair of Differential Psychology and Psychophysiology, Moscow State University of Psychology and Education, Moscow, Russia
| | - Darya Pereverzeva
- Federal Resource Center for ASD, Moscow State University of Psychology and Education, Moscow, Russia
| | - Alexander Sorokin
- Federal Resource Center for ASD, Moscow State University of Psychology and Education, Moscow, Russia; Haskins Laboratories, New Haven, CT, USA
| | - Svetlana Tyushkevich
- Federal Resource Center for ASD, Moscow State University of Psychology and Education, Moscow, Russia
| | - Uliana Mamokhina
- Federal Resource Center for ASD, Moscow State University of Psychology and Education, Moscow, Russia
| | - Kamilla Danilina
- Federal Resource Center for ASD, Moscow State University of Psychology and Education, Moscow, Russia; Scientific Research and Practical Center for Pediatric Psychoneurology, Moscow, Russia
| | - Olga Dragoy
- Center for Language and Brain, HSE University, Moscow, Russia; Institute of Linguistics, Russian Academy of Sciences, Moscow, Russia
| | - Vardan Arutiunian
- Center for Child Health, Behavior and Development, Seattle Children's Research Institute, Seattle, WA, USA
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McKeon SD, Perica MI, Calabro FJ, Foran W, Hetherington H, Moon CH, Luna B. Prefrontal Excitation/ Inhibition Balance Supports Adolescent Enhancements in Circuit Signal to Noise Ratio. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.08.15.608100. [PMID: 39229165 PMCID: PMC11370379 DOI: 10.1101/2024.08.15.608100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 09/05/2024]
Abstract
The development and refinement of neuronal circuitry allow for stabilized and efficient neural recruitment, supporting adult-like behavioral performance. During adolescence, the maturation of PFC is proposed to be a critical period (CP) for executive function, driven by a break in balance between glutamatergic excitation and GABAergic inhibition (E/I) neurotransmission. During CPs, cortical circuitry fine-tunes to improve information processing and reliable responses to stimuli, shifting from spontaneous to evoked activity, enhancing the SNR, and promoting neural synchronization. Harnessing 7T MR spectroscopy and EEG in a longitudinal cohort (N = 164, ages 10-32 years, 283 neuroimaging sessions), we outline associations between age-related changes in glutamate and GABA neurotransmitters and EEG measures of cortical SNR. We find developmental decreases in spontaneous activity and increases in cortical SNR during our auditory steady state task using 40 Hz stimuli. Decreases in spontaneous activity were associated with glutamate levels in DLPFC, while increases in cortical SNR were associated with more balanced Glu and GABA levels. These changes were associated with improvements in working memory performance. This study provides evidence of CP plasticity in the human PFC during adolescence, leading to stabilized circuitry that allows for the optimal recruitment and integration of multisensory input, resulting in improved executive function.
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Affiliation(s)
- Shane D McKeon
- Department of Bioengineering, University of Pittsburgh, PA, USA
- The Center for the Neural Basis of Cognition, University of Pittsburgh, PA, USA
| | - Maria I Perica
- The Center for the Neural Basis of Cognition, University of Pittsburgh, PA, USA
- Department of Psychology, University of Pittsburgh, PA, USA
| | - Finnegan J Calabro
- Department of Bioengineering, University of Pittsburgh, PA, USA
- The Center for the Neural Basis of Cognition, University of Pittsburgh, PA, USA
- Department of Psychiatry, University of Pittsburgh, PA, USA
| | - Will Foran
- Department of Psychiatry, University of Pittsburgh, PA, USA
| | - Hoby Hetherington
- Resonance Research Incorporated, Billerica, MA, USA
- Department of Radiology, University of Missouri, Columbia, MO, USA
| | - Chan-Hong Moon
- Department of Radiology, University of Pittsburgh, PA, USA
| | - Beatriz Luna
- The Center for the Neural Basis of Cognition, University of Pittsburgh, PA, USA
- Department of Psychiatry, University of Pittsburgh, PA, USA
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Yusuf PA, Hubka P, Konerding W, Land R, Tillein J, Kral A. Congenital deafness reduces alpha-gamma cross-frequency coupling in the auditory cortex. Hear Res 2024; 449:109032. [PMID: 38797035 DOI: 10.1016/j.heares.2024.109032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 04/30/2024] [Accepted: 05/13/2024] [Indexed: 05/29/2024]
Abstract
Neurons within a neuronal network can be grouped by bottom-up and top-down influences using synchrony in neuronal oscillations. This creates the representation of perceptual objects from sensory features. Oscillatory activity can be differentiated into stimulus-phase-locked (evoked) and non-phase-locked (induced). The former is mainly determined by sensory input, the latter by higher-level (cortical) processing. Effects of auditory deprivation on cortical oscillations have been studied in congenitally deaf cats (CDCs) using cochlear implant (CI) stimulation. CI-induced alpha, beta, and gamma activity were compromised in the auditory cortex of CDCs. Furthermore, top-down information flow between secondary and primary auditory areas in hearing cats, conveyed by induced alpha oscillations, was lost in CDCs. Here we used the matching pursuit algorithm to assess components of such oscillatory activity in local field potentials recorded in primary field A1. Additionally to the loss of induced alpha oscillations, we also found a loss of evoked theta activity in CDCs. The loss of theta and alpha activity in CDCs can be directly related to reduced high-frequency (gamma-band) activity due to cross-frequency coupling. Here we quantified such cross-frequency coupling in adult 1) hearing-experienced, acoustically stimulated cats (aHCs), 2) hearing-experienced cats following acute pharmacological deafening and subsequent CIs, thus in electrically stimulated cats (eHCs), and 3) electrically stimulated CDCs. We found significant cross-frequency coupling in all animal groups in > 70% of auditory-responsive sites. The predominant coupling in aHCs and eHCs was between theta/alpha phase and gamma power. In CDCs such coupling was lost and replaced by alpha oscillations coupling to delta/theta phase. Thus, alpha/theta oscillations synchronize high-frequency gamma activity only in hearing-experienced cats. The absence of induced alpha and theta oscillations contributes to the loss of induced gamma power in CDCs, thereby signifying impaired local network activity.
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Affiliation(s)
- Prasandhya A Yusuf
- Hannover Medical School, Institute of AudioNeuroTechnology and Department of Experimental Otology of the ENT Clinics, Hannover, Germany; Faculty of Medicine University of Indonesia, Department of Medical Physiology and Biophysics / Medical Technology IMERI, Jakarta, Indonesia.
| | - Peter Hubka
- Hannover Medical School, Institute of AudioNeuroTechnology and Department of Experimental Otology of the ENT Clinics, Hannover, Germany
| | - Wiebke Konerding
- Hannover Medical School, Institute of AudioNeuroTechnology and Department of Experimental Otology of the ENT Clinics, Hannover, Germany
| | - Rüdiger Land
- Hannover Medical School, Institute of AudioNeuroTechnology and Department of Experimental Otology of the ENT Clinics, Hannover, Germany
| | - Jochen Tillein
- J.W. Goethe University, Department of Otorhinolaryngology, Frankfurt am Main, Germany
| | - Andrej Kral
- Hannover Medical School, Institute of AudioNeuroTechnology and Department of Experimental Otology of the ENT Clinics, Hannover, Germany; Australian Hearing Hub, School of Medicine and Health Sciences, Macquarie University, Sydney, Australia
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Arutiunian V, Santhosh M, Neuhaus E, Borland H, Tompkins C, Bernier RA, Bookheimer SY, Dapretto M, Gupta AR, Jack A, Jeste S, McPartland JC, Naples A, Van Horn JD, Pelphrey KA, Webb SJ. The relationship between gamma-band neural oscillations and language skills in youth with Autism Spectrum Disorder and their first-degree relatives. Mol Autism 2024; 15:19. [PMID: 38711098 PMCID: PMC11075235 DOI: 10.1186/s13229-024-00598-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 04/18/2024] [Indexed: 05/08/2024] Open
Abstract
BACKGROUND Most children with Autism Spectrum Disorder (ASD) have co-occurring language impairments and some of these autism-specific language difficulties are also present in their non-autistic first-degree relatives. One of the possible neural mechanisms associated with variability in language functioning is alterations in cortical gamma-band oscillations, hypothesized to be related to neural excitation and inhibition balance. METHODS We used a high-density 128-channel electroencephalography (EEG) to register brain response to speech stimuli in a large sex-balanced sample of participants: 125 youth with ASD, 121 typically developing (TD) youth, and 40 unaffected siblings (US) of youth with ASD. Language skills were assessed with Clinical Evaluation of Language Fundamentals. RESULTS First, during speech processing, we identified significantly elevated gamma power in ASD participants compared to TD controls. Second, across all youth, higher gamma power was associated with lower language skills. Finally, the US group demonstrated an intermediate profile in both language and gamma power, with nonverbal IQ mediating the relationship between gamma power and language skills. LIMITATIONS We only focused on one of the possible neural contributors to variability in language functioning. Also, the US group consisted of a smaller number of participants in comparison to the ASD or TD groups. Finally, due to the timing issue in EEG system we have provided only non-phase-locked analysis. CONCLUSIONS Autistic youth showed elevated gamma power, suggesting higher excitation in the brain in response to speech stimuli and elevated gamma power was related to lower language skills. The US group showed an intermediate pattern of gamma activity, suggesting that the broader autism phenotype extends to neural profiles.
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Affiliation(s)
- Vardan Arutiunian
- Center for Child Health, Behavior and Development, Seattle Children's Research Institute, 1920 Terry Ave., Seattle, WA, 98101, USA
| | - Megha Santhosh
- Center for Child Health, Behavior and Development, Seattle Children's Research Institute, 1920 Terry Ave., Seattle, WA, 98101, USA
| | - Emily Neuhaus
- Center for Child Health, Behavior and Development, Seattle Children's Research Institute, 1920 Terry Ave., Seattle, WA, 98101, USA
- Department of Psychiatry and Behavioral Science, University of Washington, Seattle, WA, USA
- Institute of Human Development and Disability, University of Washington, Seattle, WA, USA
| | - Heather Borland
- Center for Child Health, Behavior and Development, Seattle Children's Research Institute, 1920 Terry Ave., Seattle, WA, 98101, USA
| | - Chris Tompkins
- Department of Psychiatry and Behavioral Science, University of Washington, Seattle, WA, USA
- Institute of Human Development and Disability, University of Washington, Seattle, WA, USA
| | - Raphael A Bernier
- Department of Psychiatry and Behavioral Science, University of Washington, Seattle, WA, USA
| | - Susan Y Bookheimer
- Center for Autism Research and Treatment, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Mirella Dapretto
- Center for Autism Research and Treatment, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Abha R Gupta
- Department of Pediatrics, Yale School of Medicine, New Haven, CT, USA
- Yale Child Study Center, Yale School of Medicine, New Haven, CT, USA
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
| | - Allison Jack
- Department of Psychology, George Mason University, Fairfax, VA, USA
| | - Shafali Jeste
- Department of Neurology, Children's Hospital of Los Angeles, Los Angeles, CA, USA
| | | | - Adam Naples
- Yale Child Study Center, Yale School of Medicine, New Haven, CT, USA
| | - John D Van Horn
- School of Data Science, University of Virginia, Charlottesville, VA, USA
| | - Kevin A Pelphrey
- Department of Neurology, School of Medicine, University of Virginia, Charlottesville, VA, USA
| | - Sara Jane Webb
- Center for Child Health, Behavior and Development, Seattle Children's Research Institute, 1920 Terry Ave., Seattle, WA, 98101, USA.
- Department of Psychiatry and Behavioral Science, University of Washington, Seattle, WA, USA.
- Institute of Human Development and Disability, University of Washington, Seattle, WA, USA.
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Neklyudova A, Kuramagomedova R, Voinova V, Sysoeva O. Atypical brain responses to 40-Hz click trains in girls with Rett syndrome: Auditory steady-state response and sustained wave. Psychiatry Clin Neurosci 2024; 78:282-290. [PMID: 38321640 DOI: 10.1111/pcn.13638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 12/01/2023] [Accepted: 12/27/2023] [Indexed: 02/08/2024]
Abstract
AIM The current study aimed to infer neurophysiological mechanisms of auditory processing in children with Rett syndrome (RTT)-rare neurodevelopmental disorders caused by MECP2 mutations. We examined two brain responses elicited by 40-Hz click trains: auditory steady-state response (ASSR), which reflects fine temporal analysis of auditory input, and sustained wave (SW), which is associated with integral processing of the auditory signal. METHODS We recorded electroencephalogram findings in 43 patients with RTT (aged 2.92-17.1 years) and 43 typically developing children of the same age during 40-Hz click train auditory stimulation, which lasted for 500 ms and was presented with interstimulus intervals of 500 to 800 ms. Mixed-model ancova with age as a covariate was used to compare amplitude of ASSR and SW between groups, taking into account the temporal dynamics and topography of the responses. RESULTS Amplitude of SW was atypically small in children with RTT starting from early childhood, with the difference from typically developing children decreasing with age. ASSR showed a different pattern of developmental changes: the between-group difference was negligible in early childhood but increased with age as ASSR increased in the typically developing group, but not in those with RTT. Moreover, ASSR was associated with expressive speech development in patients, so that children who could use words had more pronounced ASSR. CONCLUSION ASSR and SW show promise as noninvasive electrophysiological biomarkers of auditory processing that have clinical relevance and can shed light onto the link between genetic impairment and the RTT phenotype.
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Affiliation(s)
- Anastasia Neklyudova
- Laboratory of Human Higher Nervous Activity, Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Science, Moscow, Russia
| | - Rabiat Kuramagomedova
- Veltischev Research and Clinical Institute for Pediatrics of the Pirogov, Russian National Research Medical University, Ministry of Health of Russian Federation, Moscow, Russia
| | - Victoria Voinova
- Veltischev Research and Clinical Institute for Pediatrics of the Pirogov, Russian National Research Medical University, Ministry of Health of Russian Federation, Moscow, Russia
| | - Olga Sysoeva
- Laboratory of Human Higher Nervous Activity, Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Science, Moscow, Russia
- Faculty of Biology and Biotechnology, HSE University, Moscow, Russia
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Ahlfors SP, Graham S, Bharadwaj H, Mamashli F, Khan S, Joseph RM, Losh A, Pawlyszyn S, McGuiggan NM, Vangel M, Hämäläinen MS, Kenet T. No Differences in Auditory Steady-State Responses in Children with Autism Spectrum Disorder and Typically Developing Children. J Autism Dev Disord 2024; 54:1947-1960. [PMID: 36932270 DOI: 10.1007/s10803-023-05907-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/23/2022] [Indexed: 03/19/2023]
Abstract
Auditory steady-state response (ASSR) has been studied as a potential biomarker for abnormal auditory sensory processing in autism spectrum disorder (ASD), with mixed results. Motivated by prior somatosensory findings of group differences in inter-trial coherence (ITC) between ASD and typically developing (TD) individuals at twice the steady-state stimulation frequency, we examined ASSR at 25 and 50 as well as 43 and 86 Hz in response to 25-Hz and 43-Hz auditory stimuli, respectively, using magnetoencephalography. Data were recorded from 22 ASD and 31 TD children, ages 6-17 years. ITC measures showed prominent ASSRs at the stimulation and double frequencies, without significant group differences. These results do not support ASSR as a robust ASD biomarker of abnormal auditory processing in ASD. Furthermore, the previously observed atypical double-frequency somatosensory response in ASD did not generalize to the auditory modality. Thus, the hypothesis about modality-independent abnormal local connectivity in ASD was not supported.
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Affiliation(s)
- Seppo P Ahlfors
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA.
- Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA.
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th Street, Rm. 2301, Charlestown, MA, 02129, USA.
| | - Steven Graham
- Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Hari Bharadwaj
- Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
- Department of Speech, Language, and Hearing Sciences, Boston University, Boston, MA, USA
- Department of Speech, Language, & Hearing Sciences and Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA
| | - Fahimeh Mamashli
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
- Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Sheraz Khan
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
- Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Robert M Joseph
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA
| | - Ainsley Losh
- Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Stephanie Pawlyszyn
- Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Nicole M McGuiggan
- Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Mark Vangel
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
- Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Matti S Hämäläinen
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
- Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Tal Kenet
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
- Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
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Petley L, Blankenship C, Hunter LL, Stewart HJ, Lin L, Moore DR. Amplitude Modulation Perception and Cortical Evoked Potentials in Children With Listening Difficulties and Their Typically Developing Peers. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2024; 67:633-656. [PMID: 38241680 PMCID: PMC11000788 DOI: 10.1044/2023_jslhr-23-00317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 09/01/2023] [Accepted: 11/09/2023] [Indexed: 01/21/2024]
Abstract
PURPOSE Amplitude modulations (AMs) are important for speech intelligibility, and deficits in speech intelligibility are a leading source of impairment in childhood listening difficulties (LiD). The present study aimed to explore the relationships between AM perception and speech-in-noise (SiN) comprehension in children and to determine whether deficits in AM processing contribute to childhood LiD. Evoked responses were used to parse the neural origins of AM processing. METHOD Forty-one children with LiD and 44 typically developing children, ages 8-16 years, participated in the study. Behavioral AM depth thresholds were measured at 4 and 40 Hz. SiN tasks included the Listening in Spatialized Noise-Sentences Test (LiSN-S) and a coordinate response measure (CRM)-based task. Evoked responses were obtained during an AM change detection task using alternations between 4 and 40 Hz, including the N1 of the acoustic change complex, auditory steady-state response (ASSR), P300, and a late positive response (late potential [LP]). Maturational effects were explored via age correlations. RESULTS Age correlated with 4-Hz AM thresholds, CRM separated talker scores, and N1 amplitude. Age-normed LiSN-S scores obtained without spatial or talker cues correlated with age-corrected 4-Hz AM thresholds and area under the LP curve. CRM separated talker scores correlated with AM thresholds and area under the LP curve. Most behavioral measures of AM perception correlated with the signal-to-noise ratio and phase coherence of the 40-Hz ASSR. AM change response time also correlated with area under the LP curve. Children with LiD exhibited deficits with respect to 4-Hz thresholds, AM change accuracy, and area under the LP curve. CONCLUSIONS The observed relationships between AM perception and SiN performance extend the evidence that modulation perception is important for understanding SiN in childhood. In line with this finding, children with LiD demonstrated poorer performance on some measures of AM perception, but their evoked responses implicated a primarily cognitive deficit. SUPPLEMENTAL MATERIAL https://doi.org/10.23641/asha.25009103.
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Affiliation(s)
- Lauren Petley
- Communication Sciences Research Center, Cincinnati Children's Hospital Medical Center, OH
- Patient Services Research, Cincinnati Children's Hospital Medical Center, OH
- Department of Psychology, Clarkson University, Potsdam, NY
| | - Chelsea Blankenship
- Communication Sciences Research Center, Cincinnati Children's Hospital Medical Center, OH
- Patient Services Research, Cincinnati Children's Hospital Medical Center, OH
| | - Lisa L. Hunter
- Communication Sciences Research Center, Cincinnati Children's Hospital Medical Center, OH
- Patient Services Research, Cincinnati Children's Hospital Medical Center, OH
- Department of Otolaryngology, College of Medicine, University of Cincinnati, OH
- Department of Communication Sciences and Disorders, College of Allied Health Sciences, University of Cincinnati, OH
| | | | - Li Lin
- Communication Sciences Research Center, Cincinnati Children's Hospital Medical Center, OH
- Patient Services Research, Cincinnati Children's Hospital Medical Center, OH
| | - David R. Moore
- Communication Sciences Research Center, Cincinnati Children's Hospital Medical Center, OH
- Patient Services Research, Cincinnati Children's Hospital Medical Center, OH
- Department of Otolaryngology, College of Medicine, University of Cincinnati, OH
- Manchester Centre for Audiology and Deafness, The University of Manchester, United Kingdom
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Lasnick OHM, Hoeft F. Sensory temporal sampling in time: an integrated model of the TSF and neural noise hypothesis as an etiological pathway for dyslexia. Front Hum Neurosci 2024; 17:1294941. [PMID: 38234592 PMCID: PMC10792016 DOI: 10.3389/fnhum.2023.1294941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 12/04/2023] [Indexed: 01/19/2024] Open
Abstract
Much progress has been made in research on the causal mechanisms of developmental dyslexia. In recent years, the "temporal sampling" account of dyslexia has evolved considerably, with contributions from neurogenetics and novel imaging methods resulting in a much more complex etiological view of the disorder. The original temporal sampling framework implicates disrupted neural entrainment to speech as a causal factor for atypical phonological representations. Yet, empirical findings have not provided clear evidence of a low-level etiology for this endophenotype. In contrast, the neural noise hypothesis presents a theoretical view of the manifestation of dyslexia from the level of genes to behavior. However, its relative novelty (published in 2017) means that empirical research focused on specific predictions is sparse. The current paper reviews dyslexia research using a dual framework from the temporal sampling and neural noise hypotheses and discusses the complementary nature of these two views of dyslexia. We present an argument for an integrated model of sensory temporal sampling as an etiological pathway for dyslexia. Finally, we conclude with a brief discussion of outstanding questions.
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Affiliation(s)
- Oliver H. M. Lasnick
- brainLENS Laboratory, Department of Psychological Sciences, University of Connecticut, Storrs, CT, United States
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Lasnick OHM, Hancock R, Hoeft F. Left-dominance for resting-state temporal low-gamma power in children with impaired word-decoding and without comorbid ADHD. PLoS One 2023; 18:e0292330. [PMID: 38157354 PMCID: PMC10756518 DOI: 10.1371/journal.pone.0292330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 12/08/2023] [Indexed: 01/03/2024] Open
Abstract
One theory of the origins of reading disorders (i.e., dyslexia) is a language network which cannot effectively 'entrain' to speech, with cascading effects on the development of phonological skills. Low-gamma (low-γ, 30-45 Hz) neural activity, particularly in the left hemisphere, is thought to correspond to tracking at phonemic rates in speech. The main goals of the current study were to investigate temporal low-γ band-power during rest in a sample of children and adolescents with and without reading disorder (RD). Using a Bayesian statistical approach to analyze the power spectral density of EEG data, we examined whether (1) resting-state temporal low-γ power was attenuated in the left temporal region in RD; (2) low-γ power covaried with individual reading performance; (3) low-γ temporal lateralization was atypical in RD. Contrary to our expectations, results did not support the hypothesized effects of RD status and poor decoding ability on left hemisphere low-γ power or lateralization: post-hoc tests revealed that the lack of atypicality in the RD group was not due to the inclusion of those with comorbid attentional deficits. However, post-hoc tests also revealed a specific left-dominance for low-γ rhythms in children with reading deficits only, when participants with comorbid attentional deficits were excluded. We also observed an inverse relationship between decoding and left-lateralization in the controls, such that those with better decoding skills were less likely to show left-lateralization. We discuss these unexpected findings in the context of prior theoretical frameworks on temporal sampling. These results may reflect the importance of real-time language processing to evoke gamma rhythms in the phonemic range during childhood and adolescence.
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Affiliation(s)
- Oliver H. M. Lasnick
- Department of Psychological Sciences, University of Connecticut, Storrs, Connecticut, United States of America
| | - Roeland Hancock
- Wu Tsai Institute, Yale University, New Haven, Connecticut, United States of America
| | - Fumiko Hoeft
- Department of Psychological Sciences, University of Connecticut, Storrs, Connecticut, United States of America
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Petley L, Blankenship C, Hunter LL, Stewart HJ, Lin L, Moore DR. Amplitude modulation perception and cortical evoked potentials in children with listening difficulties and their typically-developing peers. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.10.26.23297523. [PMID: 37961469 PMCID: PMC10635202 DOI: 10.1101/2023.10.26.23297523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Purpose Amplitude modulations (AM) are important for speech intelligibility, and deficits in speech intelligibility are a leading source of impairment in childhood listening difficulties (LiD). The present study aimed to explore the relationships between AM perception and speech-in-noise (SiN) comprehension in children and to determine whether deficits in AM processing contribute to childhood LiD. Evoked responses were used to parse the neural origin of AM processing. Method Forty-one children with LiD and forty-four typically-developing children, ages 8-16 y.o., participated in the study. Behavioral AM depth thresholds were measured at 4 and 40 Hz. SiN tasks included the LiSN-S and a Coordinate Response Measure (CRM)-based task. Evoked responses were obtained during an AM Change detection task using alternations between 4 and 40 Hz, including the N1 of the acoustic change complex, auditory steady-state response (ASSR), P300, and a late positive response (LP). Maturational effects were explored via age correlations. Results Age correlated with 4 Hz AM thresholds, CRM Separated Talker scores, and N1 amplitude. Age-normed LiSN-S scores obtained without spatial or talker cues correlated with age-corrected 4 Hz AM thresholds and area under the LP curve. CRM Separated Talker scores correlated with AM thresholds and area under the LP curve. Most behavioral measures of AM perception correlated with the SNR and phase coherence of the 40 Hz ASSR. AM Change RT also correlated with area under the LP curve. Children with LiD exhibited deficits with respect to 4 Hz thresholds, AM Change accuracy, and area under the LP curve. Conclusions The observed relationships between AM perception and SiN performance extend the evidence that modulation perception is important for understanding SiN in childhood. In line with this finding, children with LiD demonstrated poorer performance on some measures of AM perception, but their evoked responses implicated a primarily cognitive deficit.
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Usui K, Kirihara K, Araki T, Tada M, Koshiyama D, Fujioka M, Nishimura R, Ando S, Koike S, Sugiyama H, Shirakawa T, Toriyama R, Masaoka M, Fujikawa S, Endo K, Yamasaki S, Nishida A, Kasai K. Longitudinal change in mismatch negativity (MMN) but not in gamma-band auditory steady-state response (ASSR) is associated with psychological difficulties in adolescence. Cereb Cortex 2023; 33:11070-11079. [PMID: 37815245 PMCID: PMC10631957 DOI: 10.1093/cercor/bhad346] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 07/26/2023] [Accepted: 08/21/2023] [Indexed: 10/11/2023] Open
Abstract
Adolescence is a critical period for psychological difficulties. Auditory mismatch negativity (MMN) and gamma-band auditory steady-state response (ASSR) are representative electrophysiological indices that mature during adolescence. However, the longitudinal association between MMN/ASSR and psychological difficulties among adolescents remains unclear. We measured MMN amplitude for duration and frequency changes and ASSR twice in a subsample (n = 67, mean age 13.4 and 16.1 years, respectively) from a large-scale population-based cohort. No significant longitudinal changes were observed in any of the electroencephalography indices. Changes in SDQ-TD were significantly associated with changes in duration MMN, but not frequency MMN and ASSR. Furthermore, the subgroup with higher SDQ-TD at follow-up showed a significant duration MMN decrease over time, whereas the subgroup with lower SDQ-TD did not. The results of our population neuroscience study suggest that insufficient changes in electroencephalography indices may have been because of the short follow-up period or non-monotonic change during adolescence, and indicated that the longitudinal association with psychological difficulties was specific to the duration MMN. These findings provide new insights that electrophysiological change may underlie the development of psychosocial difficulties emerging in adolescence.
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Affiliation(s)
- Kaori Usui
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
- Department of Community Mental Health & Law, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, 187-8551, Japan
| | - Kenji Kirihara
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
- Disability Services Office, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Tsuyoshi Araki
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
- Department of Neuropsychiatry, Teikyo University Hospital, Mizonokuchi, Tokyo, 213-8507, Japan
| | - Mariko Tada
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
- Office for Mental Health Support, Center for Research on Counseling and Support Services, The University of Tokyo, Tokyo, 113-8655, Japan
- The International Research Center for Neurointelligence (WPI-IRCN), University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo, 113-0033, Japan
| | - Daisuke Koshiyama
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Mao Fujioka
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Ryoichi Nishimura
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Shuntaro Ando
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
- Department of Psychiatry and Behavioral Sciences, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Shinsuke Koike
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
- The International Research Center for Neurointelligence (WPI-IRCN), University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo, 113-0033, Japan
- University of Tokyo Institute for Diversity & Adaptation of Human Mind (UTIDAHM), Tokyo, 113-8655, Japan
- Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, Tokyo, 153-8902, Japan
| | - Hiroshi Sugiyama
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Toru Shirakawa
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
- Department of Electrical Engineering and Computer Science, Faculty of Systems Design, Tokyo Metropolitan University, Tokyo, 192-0397 Japan
| | - Rie Toriyama
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Mio Masaoka
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Shinya Fujikawa
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Kaori Endo
- Department of Psychiatry and Behavioral Sciences, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Syudo Yamasaki
- Department of Psychiatry and Behavioral Sciences, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Atsushi Nishida
- Department of Psychiatry and Behavioral Sciences, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
- The International Research Center for Neurointelligence (WPI-IRCN), University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo, 113-0033, Japan
- University of Tokyo Institute for Diversity & Adaptation of Human Mind (UTIDAHM), Tokyo, 113-8655, Japan
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Rodríguez-González V, Núñez P, Gómez C, Shigihara Y, Hoshi H, Tola-Arribas MÁ, Cano M, Guerrero Á, García-Azorín D, Hornero R, Poza J. Connectivity-based Meta-Bands: A new approach for automatic frequency band identification in connectivity analyses. Neuroimage 2023; 280:120332. [PMID: 37619796 DOI: 10.1016/j.neuroimage.2023.120332] [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: 04/02/2023] [Revised: 07/05/2023] [Accepted: 08/14/2023] [Indexed: 08/26/2023] Open
Abstract
The majority of electroencephalographic (EEG) and magnetoencephalographic (MEG) studies filter and analyse neural signals in specific frequency ranges, known as "canonical" frequency bands. However, this segmentation, is not exempt from limitations, mainly due to the lack of adaptation to the neural idiosyncrasies of each individual. In this study, we introduce a new data-driven method to automatically identify frequency ranges based on the topological similarity of the frequency-dependent functional neural network. The resting-state neural activity of 195 cognitively healthy subjects from three different databases (MEG: 123 subjects; EEG1: 27 subjects; EEG2: 45 subjects) was analysed. In a first step, MEG and EEG signals were filtered with a narrow-band filter bank (1 Hz bandwidth) from 1 to 70 Hz with a 0.5 Hz step. Next, the connectivity in each of these filtered signals was estimated using the orthogonalized version of the amplitude envelope correlation to obtain the frequency-dependent functional neural network. Finally, a community detection algorithm was used to identify communities in the frequency domain showing a similar network topology. We have called this approach the "Connectivity-based Meta-Bands" (CMB) algorithm. Additionally, two types of synthetic signals were used to configure the hyper-parameters of the CMB algorithm. We observed that the classical approaches to band segmentation are partially aligned with the underlying network topologies at group level for the MEG signals, but they are missing individual idiosyncrasies that may be biasing previous studies, as revealed by our methodology. On the other hand, the sensitivity of EEG signals to reflect this underlying frequency-dependent network structure is limited, revealing a simpler frequency parcellation, not aligned with that defined by the "canonical" frequency bands. To the best of our knowledge, this is the first study that proposes an unsupervised band segmentation method based on the topological similarity of functional neural network across frequencies. This methodology fully accounts for subject-specific patterns, providing more robust and personalized analyses, and paving the way for new studies focused on exploring the frequency-dependent structure of brain connectivity.
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Affiliation(s)
- Víctor Rodríguez-González
- Biomedical Engineering Group, University of Valladolid, Valladolid, Spain; Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III (CIBER-BBN), Spain.
| | - Pablo Núñez
- Biomedical Engineering Group, University of Valladolid, Valladolid, Spain; Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III (CIBER-BBN), Spain; Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium
| | - Carlos Gómez
- Biomedical Engineering Group, University of Valladolid, Valladolid, Spain; Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III (CIBER-BBN), Spain
| | | | | | - Miguel Ángel Tola-Arribas
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III (CIBER-BBN), Spain; Servicio de Neurología. Hospital Universitario Río Hortega, Valladolid, Spain
| | - Mónica Cano
- Servicio de Neurología. Hospital Universitario Río Hortega, Valladolid, Spain
| | - Ángel Guerrero
- Hospital Clínico Universitario, Valladolid, Spain; Department of Medicine, University of Valladolid, Spain
| | | | - Roberto Hornero
- Biomedical Engineering Group, University of Valladolid, Valladolid, Spain; Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III (CIBER-BBN), Spain; IMUVA, Instituto de Investigación en Matemáticas, University of Valladolid, Spain
| | - Jesús Poza
- Biomedical Engineering Group, University of Valladolid, Valladolid, Spain; Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III (CIBER-BBN), Spain; IMUVA, Instituto de Investigación en Matemáticas, University of Valladolid, Spain
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13
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Wu J, Song J, He Y, Li Z, Deng H, Huang Z, Xie X, Wong NML, Tao J, Lee TMC, Chan CCH. Effect of Tai Chi on Young Adults with Subthreshold Depression via a Stress-Reward Complex: A Randomized Controlled Trial. SPORTS MEDICINE - OPEN 2023; 9:90. [PMID: 37768381 PMCID: PMC10539242 DOI: 10.1186/s40798-023-00637-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 09/17/2023] [Indexed: 09/29/2023]
Abstract
BACKGROUND Subthreshold depression is a highly prevalent mood disorder in young adults. Mind-body exercises, such as Tai Chi, have been adopted as interventions for clinical depressive symptoms. However, the possible effect and underlying mechanism of Tai Chi on subthreshold depression of young individuals remain unclear. This randomized controlled study aimed to evaluate the effects of Tai Chi training and tested the combined stress and reward circuitry model for subthreshold depression. RESULTS A total of 103 participants completed this trial, with 49 in the 12-week 24-style Tai Chi group and 54 participants in control group. Our results showed significantly lower scores on depressive symptoms (P = 0.002) and anxiety symptoms (P = 0.009) and higher scores on quality of life (P = 0.002) after Tai Chi training. There were significant reductions in salivary cortisol levels (P = 0.007) and putamen gray matter volume (P < 0.001) in the Tai Chi group. The changes in cortisol levels and putamen gray matter volume had direct (bootstrapping confidence interval [- 0.91, - 0.11]) and indirect effects (bootstrapping confidence interval [- 0.65, - 0.19]) on the changes induced by Tai Chi training on depressive symptoms, respectively. CONCLUSION The stress-reward complex results indicated an interaction between lowering stress levels and increasing reward circuitry activity associated with the alleviation of depressive symptoms among participants. The 12-week Tai Chi training was effective in improving the symptoms and quality of life of young adults with subthreshold depression. Trial Registration Chinese Registry of Clinical Trials (Registration Number: ChiCTR1900028289, Registered December 12, 2019).
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Affiliation(s)
- Jingsong Wu
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
- The Academy of Rehabilitation Industry, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
| | - Jian Song
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
- The Academy of Rehabilitation Industry, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
| | - Youze He
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
- The Academy of Rehabilitation Industry, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
| | - Zhaoying Li
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
| | - Haiyin Deng
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
| | - Zhenming Huang
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
| | - Xiaoting Xie
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
| | - Nichol M L Wong
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Rm 656, The Jockey Club Tower, Pokfulam Road, Pokfulam, Hong Kong, People's Republic of China
- Laboratory of Neuropsychology and Human Neuroscience, The University of Hong Kong, Pokfulam, Hong Kong, People's Republic of China
| | - Jing Tao
- National-Local Joint Engineering Research Center of Rehabilitation Medicine Technology, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China.
- Fujian Key Laboratory of Rehabilitation Technology, Fujian University of Traditional Chinese Medicine, 1 Huatuo Road, Minhou Shangjie, Fuzhou, 350122, Fujian, People's Republic of China.
| | - Tatia M C Lee
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Rm 656, The Jockey Club Tower, Pokfulam Road, Pokfulam, Hong Kong, People's Republic of China.
- Laboratory of Neuropsychology and Human Neuroscience, The University of Hong Kong, Pokfulam, Hong Kong, People's Republic of China.
| | - Chetwyn C H Chan
- Department of Psychology, The Education University of Hong Kong, Tai Po, Hong Kong, People's Republic of China.
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14
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McKeon SD, Calabro F, Thorpe RV, de la Fuente A, Foran W, Parr AC, Jones SR, Luna B. Age-related differences in transient gamma band activity during working memory maintenance through adolescence. Neuroimage 2023; 274:120112. [PMID: 37105338 PMCID: PMC10214866 DOI: 10.1016/j.neuroimage.2023.120112] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 04/06/2023] [Accepted: 04/13/2023] [Indexed: 04/29/2023] Open
Abstract
Adolescence is a stage of development characterized by neurodevelopmental specialization of cognitive processes. In particular, working memory continues to improve through adolescence, with increases in response accuracy and decreases in response latency continuing well into the twenties. Human electroencephalogram (EEG) studies indicate that gamma oscillations (35-65 Hz) during the working memory delay period support the maintenance of mnemonic information guiding subsequent goal-driven behavior, which decrease in power with development. Importantly, recent electrophysiological studies have shown that gamma events, more so than sustained activity, may underlie working memory maintenance during the delay period. However, developmental differences in gamma events during working memory have not been studied. Here, we used EEG in conjunction with a novel spectral event processing approach to investigate age-related differences in transient gamma band activity during a memory guided saccade (MGS) task in 164 10- to 30-year-olds. Total gamma power was found to significantly decrease through adolescence, replicating prior findings. Results from the spectral event pipeline showed age-related decreases in the mean power of gamma events and trial-by-trial power variability across both the delay period and fixation epochs of the MGS task. In addition, we found that while event number decreased with age during the fixation period, the developmental decrease during the delay period was more dramatic, resulting in an increase in event spiking from fixation to delay in adolescence but not adulthood. While average power of the transient gamma events was found to mediate age-related differences in total gamma power in the fixation and delay periods, the number of gamma events was related to total power in only the delay period, suggesting that the power of gamma events may underlie the sustained gamma activity seen in EEG literature while the number of events may directly support age-related improvements in working memory maintenance. Our findings provide compelling new evidence for mechanistic changes in neural processing characterized by refinements in neural function as behavior becomes optimized in adulthood.
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Affiliation(s)
- Shane D McKeon
- Department of Bioengineering, University of Pittsburgh, PA, 15213, United States; The Center for the Neural Basis of Cognition, University of Pittsburgh, PA, 15213, United States.
| | - Finnegan Calabro
- Department of Bioengineering, University of Pittsburgh, PA, 15213, United States; The Center for the Neural Basis of Cognition, University of Pittsburgh, PA, 15213, United States; Department of Psychiatry, University of Pittsburgh, PA, 15213, United States
| | - Ryan V Thorpe
- Department of Neuroscience, Brown University, Providence, RI, United States
| | - Alethia de la Fuente
- Department of Physics, University of Buenos Aires, Argentina; Institute of Cognitive and Translational Neuroscience, INECO Foundation, Favaloro University, Buenos Aires, Argentina; National Scientific and Technical Research Council, Buenos Aires, Argentina
| | - Will Foran
- Department of Psychiatry, University of Pittsburgh, PA, 15213, United States
| | - Ashley C Parr
- The Center for the Neural Basis of Cognition, University of Pittsburgh, PA, 15213, United States; Department of Psychiatry, University of Pittsburgh, PA, 15213, United States
| | - Stephanie R Jones
- Department of Neuroscience, Brown University, Providence, RI, United States
| | - Beatriz Luna
- The Center for the Neural Basis of Cognition, University of Pittsburgh, PA, 15213, United States; Department of Psychiatry, University of Pittsburgh, PA, 15213, United States.
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15
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Tada M, Kirihara K, Koshiyama D, Nagai T, Fujiouka M, Usui K, Satomura Y, Koike S, Sawada K, Matsuoka J, Morita K, Araki T, Kasai K. Alterations of auditory-evoked gamma oscillations are more pronounced than alterations of spontaneous power of gamma oscillation in early stages of schizophrenia. Transl Psychiatry 2023; 13:218. [PMID: 37365182 DOI: 10.1038/s41398-023-02511-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 05/23/2023] [Accepted: 06/05/2023] [Indexed: 06/28/2023] Open
Abstract
Several animal models of schizophrenia and patients with chronic schizophrenia have shown increased spontaneous power of gamma oscillations. However, the most robust alterations of gamma oscillations in patients with schizophrenia are reduced auditory-oscillatory responses. We hypothesized that patients with early-stage schizophrenia would have increased spontaneous power of gamma oscillations and reduced auditory-oscillatory responses. This study included 77 participants, including 27 ultra-high-risk (UHR) individuals, 19 patients with recent-onset schizophrenia (ROS), and 31 healthy controls (HCs). The auditory steady-state response (ASSR) and spontaneous power of gamma oscillations measured as induced power during the ASSR period were calculated using electroencephalography during 40-Hz auditory click-trains. The ASSRs were lower in the UHR and ROS groups than in the HC group, whereas the spontaneous power of gamma oscillations in the UHR and ROS groups did not significantly differ from power in the HC group. Both early-latency (0-100 ms) and late-latency (300-400 ms) ASSRs were significantly reduced and negatively correlated with the spontaneous power of gamma oscillations in the ROS group. In contrast, UHR individuals exhibited reduced late-latency ASSR and a correlation between the unchanged early-latency ASSR and the spontaneous power of gamma oscillations. ASSR was positively correlated with the hallucinatory behavior score in the ROS group. Correlation patterns between the ASSR and spontaneous power of gamma oscillations differed between the UHR and ROS groups, suggesting that the neural dynamics involved in non-stimulus-locked/task modulation change with disease progression and may be disrupted after psychosis onset.
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Affiliation(s)
- Mariko Tada
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
- International Research Center for Neurointelligence (WPI-IRCN), UTIAS, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.
- Office for Mental Health Support, Center for Research on Counseling and Support Services, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.
| | - Kenji Kirihara
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Daisuke Koshiyama
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Tatsuya Nagai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Mao Fujiouka
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Kaori Usui
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Yoshihiro Satomura
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Shinsuke Koike
- International Research Center for Neurointelligence (WPI-IRCN), UTIAS, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
- The University of Tokyo Institute for Diversity and Adaptation of Human Mind (UTIDAHM), 3-8-1 Komaba, Meguro-ku, Tokyo, 153-8902, Japan
- Center for Evolutionary Cognitive Sciences, Graduate School of Arts and Sciences, The University of Tokyo, 3-8-1 Komaba, Meguro-ku, Tokyo, 153-8902, Japan
| | - Kingo Sawada
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
- Office for Mental Health Support, Center for Research on Counseling and Support Services, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Jun Matsuoka
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Kentaro Morita
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Tsuyoshi Araki
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
- International Research Center for Neurointelligence (WPI-IRCN), UTIAS, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
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Arutiunian V, Arcara G, Buyanova I, Davydova E, Pereverzeva D, Sorokin A, Tyushkevich S, Mamokhina U, Danilina K, Dragoy O. Neuromagnetic 40 Hz Auditory Steady-State Response in the left auditory cortex is related to language comprehension in children with Autism Spectrum Disorder. Prog Neuropsychopharmacol Biol Psychiatry 2023; 122:110690. [PMID: 36470421 DOI: 10.1016/j.pnpbp.2022.110690] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 11/06/2022] [Accepted: 11/29/2022] [Indexed: 12/08/2022]
Abstract
Language impairment is comorbid in most children with Autism Spectrum Disorder (ASD), but its neural mechanisms are still poorly understood. Some studies hypothesize that the atypical low-level sensory perception in the auditory cortex accounts for the abnormal language development in these children. One of the potential non-invasive measures of such low-level perception can be the cortical gamma-band oscillations registered with magnetoencephalography (MEG), and 40 Hz Auditory Steady-State Response (40 Hz ASSR) is a reliable paradigm for eliciting auditory gamma response. Although there is research in children with and without ASD using 40 Hz ASSR, nothing is known about the relationship between this auditory response in children with ASD and their language abilities measured directly in formal assessment. In the present study, we used MEG and individual brain models to investigate 40 Hz ASSR in primary-school-aged children with and without ASD. It was also used to assess how the strength of the auditory response is related to language abilities of children with ASD, their non-verbal IQ, and social functioning. A total of 40 children were included in the study. The results demonstrated that 40 Hz ASSR was reduced in the right auditory cortex in children with ASD when comparing them to typically developing controls. Importantly, our study provides the first evidence of the association between 40 Hz ASSR in the language-dominant left auditory cortex and language comprehension in children with ASD. This link was domain-specific because the other brain-behavior correlations were non-significant.
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Affiliation(s)
| | | | - Irina Buyanova
- Center for Language and Brain, HSE University, Moscow, Russia
| | - Elizaveta Davydova
- Federal Resource Center for ASD, Moscow State University of Psychology and Education, Moscow, Russia; Chair of Differential Psychology and Psychophysiology, Moscow State University of Psychology and Education, Moscow, Russia
| | - Darya Pereverzeva
- Federal Resource Center for ASD, Moscow State University of Psychology and Education, Moscow, Russia
| | - Alexander Sorokin
- Federal Resource Center for ASD, Moscow State University of Psychology and Education, Moscow, Russia; Haskins Laboratories, New Haven, CT, United States of America
| | - Svetlana Tyushkevich
- Federal Resource Center for ASD, Moscow State University of Psychology and Education, Moscow, Russia
| | - Uliana Mamokhina
- Federal Resource Center for ASD, Moscow State University of Psychology and Education, Moscow, Russia
| | - Kamilla Danilina
- Federal Resource Center for ASD, Moscow State University of Psychology and Education, Moscow, Russia
| | - Olga Dragoy
- Center for Language and Brain, HSE University, Moscow, Russia; Institute of Linguistics, Russian Academy of Sciences, Moscow, Russia
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Orekhova EV, Manyukhina VO, Galuta IA, Prokofyev AO, Goiaeva DE, Obukhova TS, Fadeev KA, Schneiderman JF, Stroganova TA. Gamma oscillations point to the role of primary visual cortex in atypical motion processing in autism. PLoS One 2023; 18:e0281531. [PMID: 36780507 PMCID: PMC9925089 DOI: 10.1371/journal.pone.0281531] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 01/25/2023] [Indexed: 02/15/2023] Open
Abstract
Neurophysiological studies suggest that abnormal neural inhibition may explain a range of sensory processing differences in autism spectrum disorders (ASD). In particular, the impaired ability of people with ASD to visually discriminate the motion direction of small-size objects and their reduced perceptual suppression of background-like visual motion may stem from deficient surround inhibition within the primary visual cortex (V1) and/or its atypical top-down modulation by higher-tier cortical areas. In this study, we estimate the contribution of abnormal surround inhibition to the motion-processing deficit in ASD. For this purpose, we used a putative correlate of surround inhibition-suppression of the magnetoencephalographic (MEG) gamma response (GR) caused by an increase in the drift rate of a large annular high-contrast grating. The motion direction discrimination thresholds for the gratings of different angular sizes (1° and 12°) were assessed in a separate psychophysical paradigm. The MEG data were collected in 42 boys with ASD and 37 typically developing (TD) boys aged 7-15 years. Psychophysical data were available in 33 and 34 of these participants, respectively. The results showed that the GR suppression in V1 was reduced in boys with ASD, while their ability to detect the direction of motion was compromised only in the case of small stimuli. In TD boys, the GR suppression directly correlated with perceptual suppression caused by increasing stimulus size, thus suggesting the role of the top-down modulations of V1 in surround inhibition. In ASD, weaker GR suppression was associated with the poor directional sensitivity to small stimuli, but not with perceptual suppression. These results strongly suggest that a local inhibitory deficit in V1 plays an important role in the reduction of directional sensitivity in ASD and that this perceptual deficit cannot be explained exclusively by atypical top-down modulation of V1 by higher-tier cortical areas.
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Affiliation(s)
- Elena V. Orekhova
- Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russian Federation
- * E-mail:
| | - Viktoriya O. Manyukhina
- Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russian Federation
- National Research University Higher School of Economics, Moscow, Russian Federation
| | - Ilia A. Galuta
- Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russian Federation
| | - Andrey O. Prokofyev
- Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russian Federation
| | - Dzerassa E. Goiaeva
- Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russian Federation
| | - Tatiana S. Obukhova
- Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russian Federation
| | - Kirill A. Fadeev
- Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russian Federation
| | - Justin F. Schneiderman
- MedTech West and the Institute of Neuroscience and Physiology, Sahlgrenska Academy, The University of Gothenburg, Gothenburg, Sweden
| | - Tatiana A. Stroganova
- Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russian Federation
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18
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Curtis MT, Sklar AL, Coffman BA, Salisbury DF. Functional connectivity and gray matter deficits within the auditory attention circuit in first-episode psychosis. Front Psychiatry 2023; 14:1114703. [PMID: 36860499 PMCID: PMC9968732 DOI: 10.3389/fpsyt.2023.1114703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 01/24/2023] [Indexed: 02/16/2023] Open
Abstract
Background Selective attention deficits in first episode of psychosis (FEP) can be indexed by impaired attentional modulation of auditory M100. It is unknown if the pathophysiology underlying this deficit is restricted to auditory cortex or involves a distributed attention network. We examined the auditory attention network in FEP. Methods MEG was recorded from 27 FEP and 31 matched healthy controls (HC) while alternately ignoring or attending tones. A whole-brain analysis of MEG source activity during auditory M100 identified non-auditory areas with increased activity. Time-frequency activity and phase-amplitude coupling were examined in auditory cortex to identify the attentional executive carrier frequency. Attention networks were defined by phase-locking at the carrier frequency. Spectral and gray matter deficits in the identified circuits were examined in FEP. Results Attention-related activity was identified in prefrontal and parietal regions, markedly in precuneus. Theta power and phase coupling to gamma amplitude increased with attention in left primary auditory cortex. Two unilateral attention networks were identified with precuneus seeds in HC. Network synchrony was impaired in FEP. Gray matter thickness was reduced within the left hemisphere network in FEP but did not correlate with synchrony. Conclusion Several extra-auditory attention areas with attention-related activity were identified. Theta was the carrier frequency for attentional modulation in auditory cortex. Left and right hemisphere attention networks were identified, with bilateral functional deficits and left hemisphere structural deficits, though FEP showed intact auditory cortex theta phase-gamma amplitude coupling. These novel findings indicate attention-related circuitopathy early in psychosis potentially amenable to future non-invasive interventions.
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Affiliation(s)
| | | | | | - Dean F. Salisbury
- Clinical Neurophysiology Research Laboratory, Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
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19
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Du X, Hare S, Summerfelt A, Adhikari BM, Garcia L, Marshall W, Zan P, Kvarta M, Goldwaser E, Bruce H, Gao S, Sampath H, Kochunov P, Simon JZ, Hong LE. Cortical connectomic mediations on gamma band synchronization in schizophrenia. Transl Psychiatry 2023; 13:13. [PMID: 36653335 PMCID: PMC9849210 DOI: 10.1038/s41398-022-02300-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Revised: 12/07/2022] [Accepted: 12/22/2022] [Indexed: 01/20/2023] Open
Abstract
Aberrant gamma frequency neural oscillations in schizophrenia have been well demonstrated using auditory steady-state responses (ASSR). However, the neural circuits underlying 40 Hz ASSR deficits in schizophrenia remain poorly understood. Sixty-six patients with schizophrenia spectrum disorders and 85 age- and gender-matched healthy controls completed one electroencephalography session measuring 40 Hz ASSR and one imaging session for resting-state functional connectivity (rsFC) assessments. The associations between the normalized power of 40 Hz ASSR and rsFC were assessed via linear regression and mediation models. We found that rsFC among auditory, precentral, postcentral, and prefrontal cortices were positively associated with 40 Hz ASSR in patients and controls separately and in the combined sample. The mediation analysis further confirmed that the deficit of gamma band ASSR in schizophrenia was nearly fully mediated by three of the rsFC circuits between right superior temporal gyrus-left medial prefrontal cortex (MPFC), left MPFC-left postcentral gyrus (PoG), and left precentral gyrus-right PoG. Gamma-band ASSR deficits in schizophrenia may be associated with deficient circuitry level connectivity to support gamma frequency synchronization. Correcting gamma band deficits in schizophrenia may require corrective interventions to normalize these aberrant networks.
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Affiliation(s)
- Xiaoming Du
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA.
| | - Stephanie Hare
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Ann Summerfelt
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Bhim M Adhikari
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Laura Garcia
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Wyatt Marshall
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Peng Zan
- Department of Electrical & Computer Engineering, University of Maryland, College Park, MD, USA
| | - Mark Kvarta
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Eric Goldwaser
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Heather Bruce
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Si Gao
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Hemalatha Sampath
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Peter Kochunov
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Jonathan Z Simon
- Department of Electrical & Computer Engineering, University of Maryland, College Park, MD, USA
- Department of Biology, University of Maryland, College Park, MD, USA
- Institute for Systems Research, University of Maryland, College Park, MD, USA
| | - L Elliot Hong
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
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20
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Arutiunian V, Arcara G, Buyanova I, Gomozova M, Dragoy O. The age-related changes in 40 Hz Auditory Steady-State Response and sustained Event-Related Fields to the same amplitude-modulated tones in typically developing children: A magnetoencephalography study. Hum Brain Mapp 2022; 43:5370-5383. [PMID: 35833318 PMCID: PMC9812253 DOI: 10.1002/hbm.26013] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 06/24/2022] [Accepted: 06/24/2022] [Indexed: 01/15/2023] Open
Abstract
Recent studies have revealed that gamma-band oscillatory and transient evoked potentials may change with age during childhood. It is hypothesized that these changes can be associated with a maturation of GABAergic neurotransmission and, subsequently, the age-related changes of excitation-inhibition balance in the neural circuits. One of the reliable paradigms for investigating these effects in the auditory cortex is 40 Hz Auditory Steady-State Response (ASSR), where participants are presented with the periodic auditory stimuli. It is known that such stimuli evoke two types of responses in magnetoencephalography (MEG)-40 Hz steady-state gamma response (or 40 Hz ASSR) and auditory evoked response called sustained Event-Related Field (ERF). Although several studies have been conducted in children, focusing on the changes of 40 Hz ASSR with age, almost nothing is known about the age-related changes of the sustained ERF to the same periodic stimuli and their relationships with changes in the gamma strength. Using MEG, we investigated the association between 40 Hz steady-state gamma response and sustained ERF response to the same stimuli and also their age-related changes in the group of 30 typically developing 7-to-12-year-old children. The results revealed a tight relationship between 40 Hz ASSR and ERF, indicating that the age-related increase in strength of 40 Hz ASSR was associated with the age-related decrease of the amplitude of ERF. These effects were discussed in the light of the maturation of the GABAergic system and excitation-inhibition balance development, which may contribute to the changes in ASSR and ERF.
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Affiliation(s)
| | | | | | | | - Olga Dragoy
- Center for Language and BrainHSE UniversityMoscowRussia,Institute of LinguisticsRussian Academy of SciencesMoscowRussia
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21
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Mancini V, Rochas V, Seeber M, Roehri N, Rihs TA, Ferat V, Schneider M, Uhlhaas PJ, Eliez S, Michel CM. Aberrant Developmental Patterns of Gamma-Band Response and Long-Range Communication Disruption in Youths With 22q11.2 Deletion Syndrome. Am J Psychiatry 2022; 179:204-215. [PMID: 35236117 DOI: 10.1176/appi.ajp.2021.21020190] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Brain oscillations play a pivotal role in synchronizing responses of local and global ensembles of neurons. Patients with schizophrenia exhibit impairments in oscillatory response, which are thought to stem from abnormal maturation during critical developmental stages. Studying individuals at genetic risk for psychosis, such as 22q11.2 deletion carriers, from childhood to adulthood may provide insights into developmental abnormalities. METHODS The authors acquired 106 consecutive T1-weighted MR images and 40-Hz auditory steady-state responses (ASSRs) with high-density (256 channel) EEG in a group of 58 22q11.2 deletion carriers and 48 healthy control subjects. ASSRs were analyzed with 1) time-frequency analysis using Morlet wavelet decomposition, 2) intertrial phase coherence (ITPC), and 3) theta-gamma phase-amplitude coupling estimated in the source space between brain regions activated by the ASSRs. Additionally, volumetric analyses were performed with FreeSurfer. Subanalyses were conducted in deletion carriers who endorsed psychotic symptoms and in subgroups with different age bins. RESULTS Deletion carriers had decreased theta and late-latency 40-Hz ASSRs and phase synchronization compared with control subjects. Deletion carriers with psychotic symptoms displayed a further reduction of gamma-band response, decreased ITPC, and decreased top-down modulation of gamma-band response in the auditory cortex. Reduced gamma-band response was correlated with the atrophy of auditory cortex in individuals with psychotic symptoms. In addition, a linear increase of theta and gamma power from childhood to adulthood was found in control subjects but not in deletion carriers. CONCLUSIONS The results suggest that while all deletion carriers exhibit decreased gamma-band response, more severe local and long-range communication abnormalities are associated with the emergence of psychotic symptoms and gray matter loss. Additionally, the lack of age-related changes in deletion carriers indexes a potential developmental impairment in circuits underlying the maturation of neural oscillations during adolescence. The progressive disruption of gamma-band response in 22q11.2 deletion syndrome supports a developmental perspective toward understanding and treating psychotic disorders.
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Affiliation(s)
- Valentina Mancini
- Developmental Imaging and Psychopathology Laboratory (Mancini, Schneider, Eliez) and Department of Genetic Medicine and Development (Eliez), University of Geneva School of Medicine, Geneva; Functional Brain Mapping Laboratory, Department of Basic Neurosciences, University of Geneva, Geneva (Rochas, Seeber, Roehri, Rihs, Ferat, Michel); Clinical Psychology Unit for Intellectual and Developmental Disabilities, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva (Schneider); Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, Scotland (Uhlhaas); Department of Child and Adolescent Psychiatry, Psychosomatic Medicine and Psychotherapy, Charité Universitätsmedizin, Berlin (Uhlhaas); Center for Biomedical Imaging (CIBM) of Lausanne and Geneva (Michel)
| | - Vincent Rochas
- Developmental Imaging and Psychopathology Laboratory (Mancini, Schneider, Eliez) and Department of Genetic Medicine and Development (Eliez), University of Geneva School of Medicine, Geneva; Functional Brain Mapping Laboratory, Department of Basic Neurosciences, University of Geneva, Geneva (Rochas, Seeber, Roehri, Rihs, Ferat, Michel); Clinical Psychology Unit for Intellectual and Developmental Disabilities, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva (Schneider); Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, Scotland (Uhlhaas); Department of Child and Adolescent Psychiatry, Psychosomatic Medicine and Psychotherapy, Charité Universitätsmedizin, Berlin (Uhlhaas); Center for Biomedical Imaging (CIBM) of Lausanne and Geneva (Michel)
| | - Martin Seeber
- Developmental Imaging and Psychopathology Laboratory (Mancini, Schneider, Eliez) and Department of Genetic Medicine and Development (Eliez), University of Geneva School of Medicine, Geneva; Functional Brain Mapping Laboratory, Department of Basic Neurosciences, University of Geneva, Geneva (Rochas, Seeber, Roehri, Rihs, Ferat, Michel); Clinical Psychology Unit for Intellectual and Developmental Disabilities, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva (Schneider); Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, Scotland (Uhlhaas); Department of Child and Adolescent Psychiatry, Psychosomatic Medicine and Psychotherapy, Charité Universitätsmedizin, Berlin (Uhlhaas); Center for Biomedical Imaging (CIBM) of Lausanne and Geneva (Michel)
| | - Nicolas Roehri
- Developmental Imaging and Psychopathology Laboratory (Mancini, Schneider, Eliez) and Department of Genetic Medicine and Development (Eliez), University of Geneva School of Medicine, Geneva; Functional Brain Mapping Laboratory, Department of Basic Neurosciences, University of Geneva, Geneva (Rochas, Seeber, Roehri, Rihs, Ferat, Michel); Clinical Psychology Unit for Intellectual and Developmental Disabilities, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva (Schneider); Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, Scotland (Uhlhaas); Department of Child and Adolescent Psychiatry, Psychosomatic Medicine and Psychotherapy, Charité Universitätsmedizin, Berlin (Uhlhaas); Center for Biomedical Imaging (CIBM) of Lausanne and Geneva (Michel)
| | - Tonia A Rihs
- Developmental Imaging and Psychopathology Laboratory (Mancini, Schneider, Eliez) and Department of Genetic Medicine and Development (Eliez), University of Geneva School of Medicine, Geneva; Functional Brain Mapping Laboratory, Department of Basic Neurosciences, University of Geneva, Geneva (Rochas, Seeber, Roehri, Rihs, Ferat, Michel); Clinical Psychology Unit for Intellectual and Developmental Disabilities, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva (Schneider); Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, Scotland (Uhlhaas); Department of Child and Adolescent Psychiatry, Psychosomatic Medicine and Psychotherapy, Charité Universitätsmedizin, Berlin (Uhlhaas); Center for Biomedical Imaging (CIBM) of Lausanne and Geneva (Michel)
| | - Victor Ferat
- Developmental Imaging and Psychopathology Laboratory (Mancini, Schneider, Eliez) and Department of Genetic Medicine and Development (Eliez), University of Geneva School of Medicine, Geneva; Functional Brain Mapping Laboratory, Department of Basic Neurosciences, University of Geneva, Geneva (Rochas, Seeber, Roehri, Rihs, Ferat, Michel); Clinical Psychology Unit for Intellectual and Developmental Disabilities, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva (Schneider); Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, Scotland (Uhlhaas); Department of Child and Adolescent Psychiatry, Psychosomatic Medicine and Psychotherapy, Charité Universitätsmedizin, Berlin (Uhlhaas); Center for Biomedical Imaging (CIBM) of Lausanne and Geneva (Michel)
| | - Maude Schneider
- Developmental Imaging and Psychopathology Laboratory (Mancini, Schneider, Eliez) and Department of Genetic Medicine and Development (Eliez), University of Geneva School of Medicine, Geneva; Functional Brain Mapping Laboratory, Department of Basic Neurosciences, University of Geneva, Geneva (Rochas, Seeber, Roehri, Rihs, Ferat, Michel); Clinical Psychology Unit for Intellectual and Developmental Disabilities, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva (Schneider); Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, Scotland (Uhlhaas); Department of Child and Adolescent Psychiatry, Psychosomatic Medicine and Psychotherapy, Charité Universitätsmedizin, Berlin (Uhlhaas); Center for Biomedical Imaging (CIBM) of Lausanne and Geneva (Michel)
| | - Peter J Uhlhaas
- Developmental Imaging and Psychopathology Laboratory (Mancini, Schneider, Eliez) and Department of Genetic Medicine and Development (Eliez), University of Geneva School of Medicine, Geneva; Functional Brain Mapping Laboratory, Department of Basic Neurosciences, University of Geneva, Geneva (Rochas, Seeber, Roehri, Rihs, Ferat, Michel); Clinical Psychology Unit for Intellectual and Developmental Disabilities, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva (Schneider); Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, Scotland (Uhlhaas); Department of Child and Adolescent Psychiatry, Psychosomatic Medicine and Psychotherapy, Charité Universitätsmedizin, Berlin (Uhlhaas); Center for Biomedical Imaging (CIBM) of Lausanne and Geneva (Michel)
| | - Stephan Eliez
- Developmental Imaging and Psychopathology Laboratory (Mancini, Schneider, Eliez) and Department of Genetic Medicine and Development (Eliez), University of Geneva School of Medicine, Geneva; Functional Brain Mapping Laboratory, Department of Basic Neurosciences, University of Geneva, Geneva (Rochas, Seeber, Roehri, Rihs, Ferat, Michel); Clinical Psychology Unit for Intellectual and Developmental Disabilities, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva (Schneider); Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, Scotland (Uhlhaas); Department of Child and Adolescent Psychiatry, Psychosomatic Medicine and Psychotherapy, Charité Universitätsmedizin, Berlin (Uhlhaas); Center for Biomedical Imaging (CIBM) of Lausanne and Geneva (Michel)
| | - Christoph M Michel
- Developmental Imaging and Psychopathology Laboratory (Mancini, Schneider, Eliez) and Department of Genetic Medicine and Development (Eliez), University of Geneva School of Medicine, Geneva; Functional Brain Mapping Laboratory, Department of Basic Neurosciences, University of Geneva, Geneva (Rochas, Seeber, Roehri, Rihs, Ferat, Michel); Clinical Psychology Unit for Intellectual and Developmental Disabilities, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva (Schneider); Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, Scotland (Uhlhaas); Department of Child and Adolescent Psychiatry, Psychosomatic Medicine and Psychotherapy, Charité Universitätsmedizin, Berlin (Uhlhaas); Center for Biomedical Imaging (CIBM) of Lausanne and Geneva (Michel)
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22
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Roberts TPL, Bloy L, Liu S, Ku M, Blaskey L, Jackel C. Magnetoencephalography Studies of the Envelope Following Response During Amplitude-Modulated Sweeps: Diminished Phase Synchrony in Autism Spectrum Disorder. Front Hum Neurosci 2022; 15:787229. [PMID: 34975438 PMCID: PMC8714804 DOI: 10.3389/fnhum.2021.787229] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 11/01/2021] [Indexed: 11/13/2022] Open
Abstract
Prevailing theories of the neural basis of at least a subset of individuals with autism spectrum disorder (ASD) include an imbalance of excitatory and inhibitory neurotransmission. These circuitry imbalances are commonly probed in adults using auditory steady-state responses (ASSR, driven at 40 Hz) to elicit coherent electrophysiological responses (EEG/MEG) from intact circuitry. Challenges to the ASSR methodology occur during development, where the optimal ASSR driving frequency may be unknown. An alternative approach (more agnostic to driving frequency) is the amplitude-modulated (AM) sweep in which the amplitude of a tone (with carrier frequency 500 Hz) is modulated as a sweep from 10 to 100 Hz over the course of ∼15 s. Phase synchrony of evoked responses, measured via intra-trial coherence, is recorded (by EEG or MEG) as a function of frequency. We applied such AM sweep stimuli bilaterally to 40 typically developing and 80 children with ASD, aged 6–18 years. Diagnoses were confirmed by DSM-5 criteria as well as autism diagnostic observation schedule (ADOS) observational assessment. Stimuli were presented binaurally during MEG recording and consisted of 20 AM swept stimuli (500 Hz carrier; sweep 10–100 Hz up and down) with a duration of ∼30 s each. Peak intra-trial coherence values and peak response frequencies of source modeled responses (auditory cortex) were examined. First, the phase synchrony or inter-trial coherence (ITC) of the ASSR is diminished in ASD; second, hemispheric bias in the ASSR, observed in typical development (TD), is maintained in ASD, and third, that the frequency at which the peak response is obtained varies on an individual basis, in part dependent on age, and with altered developmental trajectories in ASD vs. TD. Finally, there appears an association between auditory steady-state phase synchrony (taken as a proxy of neuronal circuitry integrity) and clinical assessment of language ability/impairment. We concluded that (1) the AM sweep stimulus provides a mechanism for probing ASSR in an unbiased fashion, during developmental maturation of peak response frequency, (2) peak frequencies vary, in part due to developmental age, and importantly, (3) ITC at this peak frequency is diminished in ASD, with the degree of ITC disturbance related to clinically assessed language impairment.
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Affiliation(s)
- Timothy P L Roberts
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Luke Bloy
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Song Liu
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Matthew Ku
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Lisa Blaskey
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Carissa Jackel
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, United States
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23
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Ali R, Gollwitzer S, Reindl C, Hamer H, Coras R, Blümcke I, Buchfelder M, Hastreiter P, Rampp S. Phase-Amplitude Coupling measures for determination of the epileptic network: A methodological comparison. J Neurosci Methods 2022; 370:109484. [DOI: 10.1016/j.jneumeth.2022.109484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 12/29/2021] [Accepted: 01/18/2022] [Indexed: 12/01/2022]
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24
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Räsänen N, Tiihonen J, Koskuvi M, Lehtonen Š, Koistinaho J. The iPSC perspective on schizophrenia. Trends Neurosci 2021; 45:8-26. [PMID: 34876311 DOI: 10.1016/j.tins.2021.11.002] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 09/29/2021] [Accepted: 11/10/2021] [Indexed: 12/17/2022]
Abstract
Over a decade of schizophrenia research using human induced pluripotent stem cell (iPSC)-derived neural models has provided substantial data describing neurobiological characteristics of the disorder in vitro. Simultaneously, translation of the results into general mechanistic concepts underlying schizophrenia pathophysiology has been trailing behind. Given that modeling brain function using cell cultures is challenging, the gap between the in vitro models and schizophrenia as a clinical disorder has remained wide. In this review, we highlight reproducible findings and emerging trends in recent schizophrenia-related iPSC studies. We illuminate the relevance of the results in the context of human brain development, with a focus on processes coinciding with critical developmental periods for schizophrenia.
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Affiliation(s)
- Noora Räsänen
- Neuroscience Center, University of Helsinki, Helsinki, Finland
| | - Jari Tiihonen
- Neuroscience Center, University of Helsinki, Helsinki, Finland; Department of Clinical Neuroscience, Karolinska Institutet, Solna, Sweden; Center for Psychiatric Research, Stockholm City Council, Stockholm, Sweden; Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Kuopio, Finland
| | - Marja Koskuvi
- Neuroscience Center, University of Helsinki, Helsinki, Finland; A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Šárka Lehtonen
- Neuroscience Center, University of Helsinki, Helsinki, Finland; A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Jari Koistinaho
- Neuroscience Center, University of Helsinki, Helsinki, Finland; A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland.
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25
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Foliaki ST, Schwarz B, Groveman BR, Walters RO, Ferreira NC, Orrù CD, Smith A, Wood A, Schmit OM, Freitag P, Yuan J, Zou W, Bosio CM, Carroll JA, Haigh CL. Neuronal excitatory-to-inhibitory balance is altered in cerebral organoid models of genetic neurological diseases. Mol Brain 2021; 14:156. [PMID: 34635127 PMCID: PMC8507222 DOI: 10.1186/s13041-021-00864-w] [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] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 09/29/2021] [Indexed: 12/31/2022] Open
Abstract
The neuro-physiological properties of individuals with genetic pre-disposition to neurological disorders are largely unknown. Here we aimed to explore these properties using cerebral organoids (COs) derived from fibroblasts of individuals with confirmed genetic mutations including PRNPE200K, trisomy 21 (T21), and LRRK2G2019S, which are associated with Creutzfeldt Jakob disease, Down Syndrome, and Parkinson's disease. We utilized no known disease/healthy COs (HC) as normal function controls. At 3-4 and 6-10 months post-differentiation, COs with mutations showed no evidence of disease-related pathology. Electrophysiology assessment showed that all COs exhibited mature neuronal firing at 6-10 months old. At this age, we observed significant changes in the electrophysiology of the COs with disease-associated mutations (dCOs) as compared with the HC, including reduced neuronal network communication, slowing neuronal oscillations, and increased coupling of delta and theta phases to the amplitudes of gamma oscillations. Such changes were linked with the detection of hypersynchronous events like spike-and-wave discharges. These dysfunctions were associated with altered production and release of neurotransmitters, compromised activity of excitatory ionotropic receptors including receptors of kainate, AMPA, and NMDA, and changed levels and function of excitatory glutamatergic synapses and inhibitory GABAergic synapses. Neuronal properties that modulate GABAergic inhibition including the activity of Na-K-Cl cotransport 1 (NKCC1) in Cl- homeostasis and the levels of synaptic and extra-synaptic localization of GABA receptors (GABARs) were altered in the T21 COs only. The neurosteroid allopregnanolone, a positive modulator of GABARs, was downregulated in all the dCOs. Treatment with this neurosteroid significantly improved the neuronal communication in the dCOs, possibly through improving the GABAergic inhibition. Overall, without the manifestation of any disease-related pathology, the genetic mutations PRNPE200K, T21, and LRRK2G2019S significantly altered the neuronal network communication in dCOs by disrupting the excitatory-to-inhibitory balance.
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Affiliation(s)
- Simote T Foliaki
- Laboratory of Persistent Viral Diseases, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, MT, 59840, USA
| | - Benjamin Schwarz
- Laboratory of Bacteriology, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, MT, 59840, USA
| | - Bradley R Groveman
- Laboratory of Persistent Viral Diseases, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, MT, 59840, USA
| | - Ryan O Walters
- Laboratory of Persistent Viral Diseases, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, MT, 59840, USA
| | - Natalia C Ferreira
- Laboratory of Persistent Viral Diseases, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, MT, 59840, USA
| | - Christina D Orrù
- Laboratory of Persistent Viral Diseases, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, MT, 59840, USA
| | - Anna Smith
- Laboratory of Persistent Viral Diseases, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, MT, 59840, USA
| | - Aleksandar Wood
- Laboratory of Persistent Viral Diseases, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, MT, 59840, USA
| | - Olivia M Schmit
- Laboratory of Bacteriology, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, MT, 59840, USA
| | - Phoebe Freitag
- Laboratory of Bacteriology, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, MT, 59840, USA
| | - Jue Yuan
- Departments of Pathology and Neurology, Case Western Reserve University School of Medicine, Cleveland, OH, 44106, USA
| | - Wenquan Zou
- Departments of Pathology and Neurology, Case Western Reserve University School of Medicine, Cleveland, OH, 44106, USA
| | - Catharine M Bosio
- Laboratory of Bacteriology, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, MT, 59840, USA
| | - James A Carroll
- Laboratory of Persistent Viral Diseases, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, MT, 59840, USA
| | - Cathryn L Haigh
- Laboratory of Persistent Viral Diseases, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, MT, 59840, USA.
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26
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Mariscal MG, Levin AR, Gabard-Durnam LJ, Xie W, Tager-Flusberg H, Nelson CA. EEG Phase-Amplitude Coupling Strength and Phase Preference: Association with Age over the First Three Years after Birth. eNeuro 2021; 8:ENEURO.0264-20.2021. [PMID: 34049989 PMCID: PMC8225408 DOI: 10.1523/eneuro.0264-20.2021] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 04/26/2021] [Accepted: 05/10/2021] [Indexed: 01/11/2023] Open
Abstract
Phase-amplitude coupling (PAC), the coupling of the phase of slower electrophysiological oscillations with the amplitude of faster oscillations, is thought to facilitate dynamic integration of neural activity in the brain. Although the brain undergoes dramatic change and development during the first few years of life, how PAC changes through this developmental period has not been extensively studied. Here, we examined PAC through electroencephalography (EEG) data collected during an awake, eyes-open EEG collection paradigm in 98 children between the ages of three months and three years. We employed non-parametric clustering methods to identify areas of significant PAC across a range of frequency pairs and electrode locations, and examined how PAC strength and phase preference develops in these areas. We found that PAC, primarily between the α-β and γ frequencies, was positively correlated with age from early infancy to early childhood (p = 2.035 × 10-6). Additionally, we found γ over anterior electrodes coupled with the rising phase of the α-β waveform, while γ over posterior electrodes coupled with the falling phase of the α-β waveform; this regionalized phase preference became more prominent with age. This opposing trend may reflect each region's specialization toward feedback or feedforward processing, respectively, suggesting opportunities for back translation in future studies.
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Affiliation(s)
- Michael G Mariscal
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115
| | - April R Levin
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115
| | - Laurel J Gabard-Durnam
- Division of Developmental Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02215
| | - Wanze Xie
- Division of Developmental Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02215
| | - Helen Tager-Flusberg
- Department of Psychological and Brain Sciences, Boston University, Boston, MA 02215
| | - Charles A Nelson
- Division of Developmental Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02215
- Harvard Graduate School of Education, Cambridge, MA 02138
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Alakuş C, Larocque D, Jacquemont S, Barlaam F, Martin CO, Agbogba K, Lippé S, Labbe A. Conditional canonical correlation estimation based on covariates with random forests. Bioinformatics 2021; 37:2714-2721. [PMID: 33693547 DOI: 10.1093/bioinformatics/btab158] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 02/03/2021] [Accepted: 03/03/2021] [Indexed: 11/14/2022] Open
Abstract
MOTIVATION Investigating the relationships between two sets of variables helps to understand their interactions and can be done with canonical correlation analysis (CCA). However, the correlation between the two sets can sometimes depend on a third set of covariates, often subject-related ones such as age, gender, or other clinical measures. In this case, applying CCA to the whole population is not optimal and methods to estimate conditional CCA, given the covariates, can be useful. RESULTS We propose a new method called Random Forest with Canonical Correlation Analysis (RFCCA) to estimate the conditional canonical correlations between two sets of variables given subject-related covariates. The individual trees in the forest are built with a splitting rule specifically designed to partition the data to maximize the canonical correlation heterogeneity between child nodes. We also propose a significance test to detect the global effect of the covariates on the relationship between two sets of variables. The performance of the proposed method and the global significance test is evaluated through simulation studies that show it provides accurate canonical correlation estimations and well-controlled Type-1 error. We also show an application of the proposed method with EEG data. AVAILABILITY RFCCA is implemented in a freely available R package on CRAN (https://CRAN.R-project.org/package=RFCCA). SUPPLEMENTARY INFORMATION Supplementary material are available at Bioinformatics online.
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Affiliation(s)
- Cansu Alakuş
- Department of Decision Sciences, HEC Montréal, Montréal, QC H3T 2A7, Canada
| | - Denis Larocque
- Department of Decision Sciences, HEC Montréal, Montréal, QC H3T 2A7, Canada
| | - Sébastien Jacquemont
- Department of Pediatrics, Université de Montréal, Montréal, QC H3T 1C5, Canada.,CHU Sainte-Justine Research Center, Université de Montréal, Montréal, QC H3T 1C5, Canada
| | - Fanny Barlaam
- CHU Sainte-Justine Research Center, Université de Montréal, Montréal, QC H3T 1C5, Canada
| | - Charles-Olivier Martin
- CHU Sainte-Justine Research Center, Université de Montréal, Montréal, QC H3T 1C5, Canada
| | - Kristian Agbogba
- CHU Sainte-Justine Research Center, Université de Montréal, Montréal, QC H3T 1C5, Canada
| | - Sarah Lippé
- Department of Psychology, Université de Montréal, Montréal, QC H3T 1J4, Canada.,CHU Sainte-Justine Research Center, Université de Montréal, Montréal, QC H3T 1C5, Canada
| | - Aurélie Labbe
- Department of Decision Sciences, HEC Montréal, Montréal, QC H3T 2A7, Canada
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28
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A randomized cross-over trial to define neurophysiological correlates of AV-101 N-methyl-D-aspartate receptor blockade in healthy veterans. Neuropsychopharmacology 2021; 46:820-827. [PMID: 33318635 PMCID: PMC8027791 DOI: 10.1038/s41386-020-00917-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 10/22/2020] [Accepted: 11/13/2020] [Indexed: 12/03/2022]
Abstract
The kynurenine pathway (KP) is a strategic metabolic system that combines regulation of neuronal excitability via glutamate receptor function and neuroinflammation via other KP metabolites. This pathway has great promise in treatment of depression and suicidality. The KP modulator AV-101 (4-chlorokynurenine, 4-Cl-KYN), an oral prodrug of 7-chlorokynurenic acid (7-Cl-KYNA), an N-methyl-D-aspartate receptor (NMDAR) glycine site antagonist, and of 4-chloro-3-hydroxyanthranilic acid (4-Cl-3-HAA), a suppressor of NMDAR agonist quinolinic acid (QUIN), is a promising potential antidepressant that targets glutamate functioning via the KP. However, a recent placebo-controlled clinical trial of AV-101 in depression found negative results. This raises the question of whether AV-101 can penetrate the brain and engage the NMDAR and KP effectively. To address this problem, ten healthy US military veterans (mean age = 32.6 years ± 6.11; 1 female) completed a phase-1 randomized, double-blind, placebo-controlled, crossover study to examine dose-related effects of AV-101 (720 and 1440 mg) on NMDAR engagement measured by γ-frequency band auditory steady-state response (40 Hz ASSR) and resting EEG. Linear mixed models revealed that 1440 mg AV-101, but not 720 mg, increased 40 Hz ASSR and 40 Hz ASSR γ-inter-trial phase coherence relative to placebo. AV-101 also increased 4-Cl-KYN, 7-Cl-KYNA, 4-Cl-3-HAA, 3-HAA, and KYNA in a dose-dependent manner, without affecting KYN and QUIN. AV-101 was safe and well tolerated. These results corroborate brain target engagement of 1440 mg AV-101 in humans, consistent with blockade of interneuronal NMDAR blockade. Future studies should test higher doses of AV-101 in depression. Suicidal behavior, which has been associated with high QUIN and low KYNA, is also a potential target for AV-101.
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29
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Walker CP, Buse JB, Frohlich F. Experimental increase of blood glucose alters resting state EEG measures of excitation-inhibition balance. Exp Physiol 2021; 106:803-811. [PMID: 33507550 DOI: 10.1113/ep089211] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 01/25/2021] [Indexed: 11/08/2022]
Abstract
NEW FINDINGS What is the central question of this study? Glucose is the dominant energy source for the brain. However, little is known about how glucose metabolism impacts the coordination of network activity in the brain in healthy adults. What is the main finding and its importance? We demonstrate that both α oscillations and the aperiodic signal components of the resting EEG are modulated by experimentally elevated blood glucose concentrations. Our findings suggest that glucose increases measures associated with excitation-inhibition (E:I) balance, but that the effect on α oscillations might plateau. Understanding the relationship between glucose consumption and E:I balance is crucial to developing our understanding of how metabolism shapes human brain activity. ABSTRACT Brain network oscillations can be divided broadly into periodic and aperiodic signal components, which are sensitive to state-dependent changes in network coordination and excitation-inhibition (E:I) balance. We sought to address whether the dominant energy source of the brain, glucose, is implicated in the regulation of network activity and excitability. We conducted an experimenter-blind, crossover study of the effect of blood glucose level (BGL) on the resting EEG frequency spectrum. Participants consumed a glucose drink (75 g glucose) or an equivalent volume of water on two separate visits. EEG data were sampled before and ≤3 h after the drink. We found that the experimentally induced changes in BGL exhibited an inverted U-shaped relationship, with changes in the individual α frequency peak, whereas the slope of the aperiodic signal component of the frequency spectrum showed a positive linear association suggestive of greater excitation. In contrast, peak α power, which is typically associated with top-down inhibitory processes, was negatively associated with changes in BGL. Collectively, these results suggest that high BGL alters brain network coordination in the form of α oscillations and measures associated with E:I balance.
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Affiliation(s)
- Christopher P Walker
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Carolina Center for Neurostimulation, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - John B Buse
- Department of Medicine, Division of Endocrinology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Flavio Frohlich
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Carolina Center for Neurostimulation, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Department of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
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30
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Basso JC, Satyal MK, Rugh R. Dance on the Brain: Enhancing Intra- and Inter-Brain Synchrony. Front Hum Neurosci 2021; 14:584312. [PMID: 33505255 PMCID: PMC7832346 DOI: 10.3389/fnhum.2020.584312] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Accepted: 12/03/2020] [Indexed: 12/11/2022] Open
Abstract
Dance has traditionally been viewed from a Eurocentric perspective as a mode of self-expression that involves the human body moving through space, performed for the purposes of art, and viewed by an audience. In this Hypothesis and Theory article, we synthesize findings from anthropology, sociology, psychology, dance pedagogy, and neuroscience to propose The Synchronicity Hypothesis of Dance, which states that humans dance to enhance both intra- and inter-brain synchrony. We outline a neurocentric definition of dance, which suggests that dance involves neurobehavioral processes in seven distinct areas including sensory, motor, cognitive, social, emotional, rhythmic, and creative. We explore The Synchronicity Hypothesis of Dance through several avenues. First, we examine evolutionary theories of dance, which suggest that dance drives interpersonal coordination. Second, we examine fundamental movement patterns, which emerge throughout development and are omnipresent across cultures of the world. Third, we examine how each of the seven neurobehaviors increases intra- and inter-brain synchrony. Fourth, we examine the neuroimaging literature on dance to identify the brain regions most involved in and affected by dance. The findings presented here support our hypothesis that we engage in dance for the purpose of intrinsic reward, which as a result of dance-induced increases in neural synchrony, leads to enhanced interpersonal coordination. This hypothesis suggests that dance may be helpful to repattern oscillatory activity, leading to clinical improvements in autism spectrum disorder and other disorders with oscillatory activity impairments. Finally, we offer suggestions for future directions and discuss the idea that our consciousness can be redefined not just as an individual process but as a shared experience that we can positively influence by dancing together.
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Affiliation(s)
- Julia C Basso
- Department of Human Nutrition, Foods, and Exercise, Virginia Tech, Blacksburg, VA, United States.,Center for Transformative Research on Health Behaviors, Fralin Biomedical Research Institute, Virginia Tech, Blacksburg, VA, United States.,School of Neuroscience, Virginia Tech, Blacksburg, VA, United States
| | - Medha K Satyal
- Graduate Program in Translational Biology, Medicine, and Health, Virginia Tech, Blacksburg, VA, United States
| | - Rachel Rugh
- Center for Communicating Science, Virginia Tech, Blacksburg, VA, United States.,School of Performing Arts, Virginia Tech, Blacksburg, VA, United States
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31
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Roberts TPL, Bloy L, Liu S, Ku M, Blaskey L, Jackel C. Magnetoencephalography Studies of the Envelope Following Response During Amplitude-Modulated Sweeps: Diminished Phase Synchrony in Autism Spectrum Disorder. Front Hum Neurosci 2021. [PMID: 34975438 DOI: 10.3389/fnhum.2021a.787229] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/19/2023] Open
Abstract
Prevailing theories of the neural basis of at least a subset of individuals with autism spectrum disorder (ASD) include an imbalance of excitatory and inhibitory neurotransmission. These circuitry imbalances are commonly probed in adults using auditory steady-state responses (ASSR, driven at 40 Hz) to elicit coherent electrophysiological responses (EEG/MEG) from intact circuitry. Challenges to the ASSR methodology occur during development, where the optimal ASSR driving frequency may be unknown. An alternative approach (more agnostic to driving frequency) is the amplitude-modulated (AM) sweep in which the amplitude of a tone (with carrier frequency 500 Hz) is modulated as a sweep from 10 to 100 Hz over the course of ∼15 s. Phase synchrony of evoked responses, measured via intra-trial coherence, is recorded (by EEG or MEG) as a function of frequency. We applied such AM sweep stimuli bilaterally to 40 typically developing and 80 children with ASD, aged 6-18 years. Diagnoses were confirmed by DSM-5 criteria as well as autism diagnostic observation schedule (ADOS) observational assessment. Stimuli were presented binaurally during MEG recording and consisted of 20 AM swept stimuli (500 Hz carrier; sweep 10-100 Hz up and down) with a duration of ∼30 s each. Peak intra-trial coherence values and peak response frequencies of source modeled responses (auditory cortex) were examined. First, the phase synchrony or inter-trial coherence (ITC) of the ASSR is diminished in ASD; second, hemispheric bias in the ASSR, observed in typical development (TD), is maintained in ASD, and third, that the frequency at which the peak response is obtained varies on an individual basis, in part dependent on age, and with altered developmental trajectories in ASD vs. TD. Finally, there appears an association between auditory steady-state phase synchrony (taken as a proxy of neuronal circuitry integrity) and clinical assessment of language ability/impairment. We concluded that (1) the AM sweep stimulus provides a mechanism for probing ASSR in an unbiased fashion, during developmental maturation of peak response frequency, (2) peak frequencies vary, in part due to developmental age, and importantly, (3) ITC at this peak frequency is diminished in ASD, with the degree of ITC disturbance related to clinically assessed language impairment.
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Affiliation(s)
- Timothy P L Roberts
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Luke Bloy
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Song Liu
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Matthew Ku
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Lisa Blaskey
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Carissa Jackel
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, United States
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32
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Stroganova TA, Komarov KS, Sysoeva OV, Goiaeva DE, Obukhova TS, Ovsiannikova TM, Prokofyev AO, Orekhova EV. Left hemispheric deficit in the sustained neuromagnetic response to periodic click trains in children with ASD. Mol Autism 2020; 11:100. [PMID: 33384021 PMCID: PMC7775632 DOI: 10.1186/s13229-020-00408-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Accepted: 12/17/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Deficits in perception and production of vocal pitch are often observed in people with autism spectrum disorder (ASD), but the neural basis of these deficits is unknown. In magnetoencephalogram (MEG), spectrally complex periodic sounds trigger two continuous neural responses-the auditory steady state response (ASSR) and the sustained field (SF). It has been shown that the SF in neurotypical individuals is associated with low-level analysis of pitch in the 'pitch processing center' of the Heschl's gyrus. Therefore, alternations in this auditory response may reflect atypical processing of vocal pitch. The SF, however, has never been studied in people with ASD. METHODS We used MEG and individual brain models to investigate the ASSR and SF evoked by monaural 40 Hz click trains in boys with ASD (N = 35) and neurotypical (NT) boys (N = 35) aged 7-12-years. RESULTS In agreement with the previous research in adults, the cortical sources of the SF in children were located in the left and right Heschl's gyri, anterolateral to those of the ASSR. In both groups, the SF and ASSR dominated in the right hemisphere and were higher in the hemisphere contralateral to the stimulated ear. The ASSR increased with age in both NT and ASD children and did not differ between the groups. The SF amplitude did not significantly change between the ages of 7 and 12 years. It was moderately attenuated in both hemispheres and was markedly delayed and displaced in the left hemisphere in boys with ASD. The SF delay in participants with ASD was present irrespective of their intelligence level and severity of autism symptoms. LIMITATIONS We did not test the language abilities of our participants. Therefore, the link between SF and processing of vocal pitch in children with ASD remains speculative. CONCLUSION Children with ASD demonstrate atypical processing of spectrally complex periodic sound at the level of the core auditory cortex of the left-hemisphere. The observed neural deficit may contribute to speech perception difficulties experienced by children with ASD, including their poor perception and production of linguistic prosody.
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Affiliation(s)
- T A Stroganova
- Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russian Federation
| | - K S Komarov
- Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russian Federation
| | - O V Sysoeva
- Institute of Higher Nervous Activity, Russian Academy of Science, Moscow, Russian Federation
| | - D E Goiaeva
- Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russian Federation
| | - T S Obukhova
- Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russian Federation
| | - T M Ovsiannikova
- Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russian Federation
| | - A O Prokofyev
- Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russian Federation
| | - E V Orekhova
- Center for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russian Federation. .,MedTech West and the Institute of Neuroscience and Physiology, Sahlgrenska Academy, The University of Gothenburg, Gothenburg, Sweden.
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33
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Stephen JM, Solis I, Janowich J, Stern M, Frenzel MR, Eastman JA, Mills MS, Embury CM, Coolidge NM, Heinrichs-Graham E, Mayer A, Liu J, Wang YP, Wilson TW, Calhoun VD. The Developmental Chronnecto-Genomics (Dev-CoG) study: A multimodal study on the developing brain. Neuroimage 2020; 225:117438. [PMID: 33039623 DOI: 10.1016/j.neuroimage.2020.117438] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 08/07/2020] [Accepted: 10/05/2020] [Indexed: 01/10/2023] Open
Abstract
Brain development has largely been studied through unimodal analysis of neuroimaging data, providing independent results for structural and functional data. However, structure clearly impacts function and vice versa, pointing to the need for performing multimodal data collection and analysis to improve our understanding of brain development, and to further inform models of typical and atypical brain development across the lifespan. Ultimately, such models should also incorporate genetic and epigenetic mechanisms underlying brain structure and function, although currently this area is poorly specified. To this end, we are reporting here a multi-site, multi-modal dataset that captures cognitive function, brain structure and function, and genetic and epigenetic measures to better quantify the factors that influence brain development in children originally aged 9-14 years. Data collection for the Developmental Chronnecto-Genomics (Dev-CoG) study (http://devcog.mrn.org/) includes cognitive, emotional, and social performance scales, structural and functional MRI, diffusion MRI, magnetoencephalography (MEG), and saliva collection for DNA analysis of single nucleotide polymorphisms (SNPs) and DNA methylation patterns. Across two sites (The Mind Research Network and the University of Nebraska Medical Center), data from over 200 participants were collected and these children were re-tested annually for at least 3 years. The data collection protocol, sample demographics, and data quality measures for the dataset are presented here. The sample will be made freely available through the collaborative informatics and neuroimaging suite (COINS) database at the conclusion of the study.
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Affiliation(s)
- J M Stephen
- The Mind Research Network a division of Lovelace Biomedical Research Institute, Albuquerque, NM, United States.
| | - I Solis
- The Mind Research Network a division of Lovelace Biomedical Research Institute, Albuquerque, NM, United States; Department of Psychology, University of New Mexico, Albuquerque, NM, United States
| | - J Janowich
- The Mind Research Network a division of Lovelace Biomedical Research Institute, Albuquerque, NM, United States; Department of Psychology, University of New Mexico, Albuquerque, NM, United States
| | - M Stern
- The Mind Research Network a division of Lovelace Biomedical Research Institute, Albuquerque, NM, United States; Department of Psychology, University of New Mexico, Albuquerque, NM, United States
| | - M R Frenzel
- University of Nebraska Medical Center, Omaha, NE, United States
| | - J A Eastman
- University of Nebraska Medical Center, Omaha, NE, United States
| | - M S Mills
- University of Nebraska Medical Center, Omaha, NE, United States
| | - C M Embury
- University of Nebraska Medical Center, Omaha, NE, United States
| | - N M Coolidge
- University of Nebraska Medical Center, Omaha, NE, United States
| | | | - A Mayer
- The Mind Research Network a division of Lovelace Biomedical Research Institute, Albuquerque, NM, United States
| | - J Liu
- The Mind Research Network a division of Lovelace Biomedical Research Institute, Albuquerque, NM, United States
| | - Y P Wang
- Tulane University, New Orleans, LA, United States
| | - T W Wilson
- University of Nebraska Medical Center, Omaha, NE, United States
| | - V D Calhoun
- The Mind Research Network a division of Lovelace Biomedical Research Institute, Albuquerque, NM, United States; Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, United States; Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, United States
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34
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Tada M, Kirihara K, Koshiyama D, Fujioka M, Usui K, Uka T, Komatsu M, Kunii N, Araki T, Kasai K. Gamma-Band Auditory Steady-State Response as a Neurophysiological Marker for Excitation and Inhibition Balance: A Review for Understanding Schizophrenia and Other Neuropsychiatric Disorders. Clin EEG Neurosci 2020; 51:234-243. [PMID: 31402699 DOI: 10.1177/1550059419868872] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Altered gamma oscillations have attracted considerable attention as an index of the excitation/inhibition (E/I) imbalance in schizophrenia and other neuropsychiatric disorders. The auditory steady-state response (ASSR) has been the most robust probe of abnormal gamma oscillatory dynamics in schizophrenia. Here, we review recent ASSR studies in patients with schizophrenia and other neuropsychiatric disorders. Preclinical ASSR research, which has contributed to the elucidation of the underlying pathophysiology of these diseases, is also discussed. The developmental trajectory of the ASSR has been explored and may show signs of the maturation and disruption of E/I balance in adolescence. Animal model studies have shown that synaptic interactions between parvalbumin-positive GABAergic interneurons and pyramidal neurons contribute to the regulation of E/I balance, which is related to the generation of gamma oscillation. Therefore, ASSR alteration may be a significant electrophysiological finding related to the E/I imbalance in neuropsychiatric disorders, which is a cross-disease feature and may reflect clinical staging. Future studies regarding ASSR generation, especially in nonhuman primate models, will advance our understanding of the brain circuit and the molecular mechanisms underlying neuropsychiatric disorders.
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Affiliation(s)
- Mariko Tada
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.,International Research Center for Neurointelligence (WPI-IRCN), UTIAS, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Kenji Kirihara
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Daisuke Koshiyama
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Mao Fujioka
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Kaori Usui
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Takanori Uka
- Department of Integrative Physiology, Graduate School of Medicine, University of Yamanashi, Chuo, Yamanashi, Japan
| | - Misako Komatsu
- Laboratory for Molecular Analysis of Higher Brain Function, RIKEN Center for Brain Science, Hirosawa, Wako, Saitama, Japan
| | - Naoto Kunii
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.,Department of Neurosurgery, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Tsuyoshi Araki
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.,International Research Center for Neurointelligence (WPI-IRCN), UTIAS, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
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Seymour RA, Rippon G, Gooding-Williams G, Sowman PF, Kessler K. Reduced auditory steady state responses in autism spectrum disorder. Mol Autism 2020; 11:56. [PMID: 32611372 PMCID: PMC7329477 DOI: 10.1186/s13229-020-00357-y] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Accepted: 06/10/2020] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Auditory steady state responses (ASSRs) are elicited by clicktrains or amplitude-modulated tones, which entrain auditory cortex at their specific modulation rate. Previous research has reported reductions in ASSRs at 40 Hz for autism spectrum disorder (ASD) participants and first-degree relatives of people diagnosed with ASD (Mol Autism. 2011;2:11, Biol Psychiatry. 2007;62:192-197). METHODS Using a 1.5 s-long auditory clicktrain stimulus, designed to elicit an ASSR at 40 Hz, this study attempted to replicate and extend these findings. Magnetencephalography (MEG) data were collected from 18 adolescent ASD participants and 18 typically developing controls. RESULTS The ASSR localised to bilateral primary auditory regions. Regions of interest were thus defined in left and right primary auditory cortex (A1). While the transient gamma-band response (tGBR) from 0-0.1 s following presentation of the clicktrain stimulus was not different between groups, for either left or right A1, the ASD group had reduced oscillatory power at 40 Hz from 0.5 to 1.5 s post-stimulus onset, for both left and right A1. Additionally, the ASD group had reduced inter-trial coherence (phase consistency over trials) at 40 Hz from 0.64-0.82 s for right A1 and 1.04-1.22 s for left A1. LIMITATIONS In this study, we did not conduct a clinical autism assessment (e.g. the ADOS), and therefore, it remains unclear whether ASSR power and/or ITC are associated with the clinical symptoms of ASD. CONCLUSION Overall, our results support a specific reduction in ASSR oscillatory power and inter-trial coherence in ASD, rather than a generalised deficit in gamma-band responses. We argue that this could reflect a developmentally relevant reduction in non-linear neural processing.
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Affiliation(s)
- R A Seymour
- Aston Neuroscience Institute, School of Life and Health Sciences, Aston University, Birmingham, B4 7ET, UK.
- Department of Cognitive Science, Macquarie University, Sydney, 2109, Australia.
- Wellcome Centre for Human Neuroimaging, Queen Square Institute of Neurology, University College London, 12 Queen Square, London, WC1N 3AR, UK.
| | - G Rippon
- Aston Neuroscience Institute, School of Life and Health Sciences, Aston University, Birmingham, B4 7ET, UK
| | - G Gooding-Williams
- Aston Neuroscience Institute, School of Life and Health Sciences, Aston University, Birmingham, B4 7ET, UK
| | - P F Sowman
- Department of Cognitive Science, Macquarie University, Sydney, 2109, Australia
| | - K Kessler
- Aston Neuroscience Institute, School of Life and Health Sciences, Aston University, Birmingham, B4 7ET, UK.
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Ono Y, Kudoh K, Ikeda T, Takahashi T, Yoshimura Y, Minabe Y, Kikuchi M. Auditory steady-state response at 20 Hz and 40 Hz in young typically developing children and children with autism spectrum disorder. Psychiatry Clin Neurosci 2020; 74:354-361. [PMID: 32155301 DOI: 10.1111/pcn.12998] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2019] [Revised: 02/02/2020] [Accepted: 03/01/2020] [Indexed: 12/01/2022]
Abstract
AIM The early detection of autistic tendencies in children is essential for providing proper care and education. The auditory steady-state response (ASSR) provides a passive, non-invasive technique for assessing neural synchrony at specific response frequencies in many mental disorders, including autism spectrum disorder (ASD), but few studies have investigated its use in young children. This study investigated the ASSR at 20 Hz and 40 Hz in typically developing (TD) children and children with ASD aged 5-7 years. METHODS The participants were 23 children with ASD and 32 TD children aged 5-7 years. Using a custom-made magnetoencephalography device, we measured ASSR at 20 Hz and 40 Hz, compared the results between groups, and evaluated the association with intellectual function as measured by Kaufmann Assessment Battery for Children. RESULTS Responses to 20 Hz and 40 Hz were clearly detected in both groups with no significant difference identified. Consistent with previous findings, right dominance of the 40-Hz ASSR was observed in both groups. In the TD children, the right-side 40-Hz ASSR was correlated with age. The Kaufmann Assessment Battery for Children score was correlated with the left-side 40-Hz ASSR in both groups. CONCLUSION Right-dominant ASSR was successfully detected in young TD children and children with ASD. No difference in ASSR was observed between the children with ASD and the TD children, although the right-side 40-Hz ASSR increased with age only in the TD children. Left-side 40-Hz ASSR was associated with intelligence score in both groups.
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Affiliation(s)
- Yasuki Ono
- Department of Psychiatry and Neurobiology, Graduate School of Medical Science, Kanazawa University, Kanazawa, Japan
| | | | - Takashi Ikeda
- Research Center for Child Mental Development, Kanazawa University, Kanazawa, Japan
| | - Tetsuya Takahashi
- Department of Neuropsychiatry, Faculty of Medical Science, University of Fukui, Kanazawa, Japan
| | - Yuko Yoshimura
- Research Center for Child Mental Development, Kanazawa University, Kanazawa, Japan
| | - Yoshio Minabe
- Department of Psychiatry and Neurobiology, Graduate School of Medical Science, Kanazawa University, Kanazawa, Japan.,Research Center for Child Mental Development, Kanazawa University, Kanazawa, Japan
| | - Mitsuru Kikuchi
- Research Center for Child Mental Development, Kanazawa University, Kanazawa, Japan
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Ohki T, Matsuda T, Gunji A, Takei Y, Sakuma R, Kaneko Y, Inagaki M, Hanakawa T, Ueda K, Fukuda M, Hiraki K. Timing of phase-amplitude coupling is essential for neuronal and functional maturation of audiovisual integration in adolescents. Brain Behav 2020; 10:e01635. [PMID: 32342667 PMCID: PMC7303405 DOI: 10.1002/brb3.1635] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Revised: 02/08/2020] [Accepted: 03/19/2020] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE The ability to integrate audiovisual information matures late in adolescents, but its neuronal mechanism is still unknown. Recent studies showed that phase-amplitude coupling (PAC) of neuronal oscillations, which is defined as the modulation of high-frequency amplitude by low-frequency phase, is associated with audiovisual integration in adults. Thus, we investigated how PAC develops in adolescents and whether it is related to the functional maturation of audiovisual integration. In particular, we focused on the timing of PAC (or the coupling phase), which is defined as the low-frequency phase with maximum high-frequency amplitude. METHODS Using magnetoencephalography (MEG) on 15 adults and 14 adolescents while they performed an audiovisual speech integration task, we examined PAC in association cortexes with a trial-by-trial analysis. RESULTS Whereas delta-beta coupling was consistently observed in both adults and adolescents, we found that the timing of delta-beta PAC was delayed by 20-40 milliseconds in adolescents compared with adults. In addition, a logistic regression analysis revealed that the task performance improves as the timing of delta-beta PAC in the right temporal pole (TP) got closer to the trough position (180 degrees). CONCLUSION These results suggest that the timing of PAC is essential for binding audiovisual information and underlies the developmental process in adolescents.
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Affiliation(s)
- Takefumi Ohki
- Graduate School of Arts and Sciences, University of Tokyo, Tokyo, Japan.,Department of Developmental Disorders, National Institute of Mental Health, National Centre of Neurology and Psychiatry, Tokyo, Japan.,Department of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Japan.,Osaka University Institute for Advanced Co-Creation Studies, Suita, Japan
| | - Takeru Matsuda
- Department of Mathematical Informatics, Graduate School of Information Science and Technology, University of Tokyo, Tokyo, Japan.,Mathematical Informatics Collaboration Unit, RIKEN Center for Brain Science, Saitama, Japan
| | - Atsuko Gunji
- Department of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Japan.,College of Education, Yokohama National University, Yokohama, Japan.,Department of Advanced Neuroimaging, Integrative Brain Imaging Center, National Centre of Neurology and Psychiatry, Tokyo, Japan
| | - Yuichi Takei
- Department of Psychiatry and Neuroscience, Gunma University Graduate School of Medicine, Gunma, Japan
| | - Ryusuke Sakuma
- Department of Developmental Disorders, National Institute of Mental Health, National Centre of Neurology and Psychiatry, Tokyo, Japan.,Clinical Center for Developmental Disorders, Shirayuri College, Tokyo, Japan
| | - Yuu Kaneko
- Department of Neurosurgery, National Center Hospital, National Centre of Neurology and Psychiatry, Tokyo, Japan
| | - Masumi Inagaki
- Department of Developmental Disorders, National Institute of Mental Health, National Centre of Neurology and Psychiatry, Tokyo, Japan
| | - Takashi Hanakawa
- Department of Advanced Neuroimaging, Integrative Brain Imaging Center, National Centre of Neurology and Psychiatry, Tokyo, Japan
| | - Kazuhiro Ueda
- Graduate School of Arts and Sciences, University of Tokyo, Tokyo, Japan
| | - Masato Fukuda
- Department of Psychiatry and Neuroscience, Gunma University Graduate School of Medicine, Gunma, Japan
| | - Kazuo Hiraki
- Graduate School of Arts and Sciences, University of Tokyo, Tokyo, Japan
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Opendak M, Theisen E, Blomkvist A, Hollis K, Lind T, Sarro E, Lundström JN, Tottenham N, Dozier M, Wilson DA, Sullivan RM. Adverse caregiving in infancy blunts neural processing of the mother. Nat Commun 2020; 11:1119. [PMID: 32111822 PMCID: PMC7048726 DOI: 10.1038/s41467-020-14801-3] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2019] [Accepted: 02/03/2020] [Indexed: 12/17/2022] Open
Abstract
The roots of psychopathology frequently take shape during infancy in the context of parent-infant interactions and adversity. Yet, neurobiological mechanisms linking these processes during infancy remain elusive. Here, using responses to attachment figures among infants who experienced adversity as a benchmark, we assessed rat pup cortical local field potentials (LFPs) and behaviors exposed to adversity in response to maternal rough and nurturing handling by examining its impact on pup separation-reunion with the mother. We show that during adversity, pup cortical LFP dynamic range decreased during nurturing maternal behaviors, but was minimally impacted by rough handling. During reunion, adversity-experiencing pups showed aberrant interactions with mother and blunted cortical LFP. Blocking pup stress hormone during either adversity or reunion restored typical behavior, LFP power, and cross-frequency coupling. This translational approach suggests adversity-rearing produces a stress-induced aberrant neurobehavioral processing of the mother, which can be used as an early biomarker of later-life pathology.
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Affiliation(s)
- Maya Opendak
- Department of Child and Adolescent Psychiatry, NYU Langone Health, New York, NY, 10016, USA. .,Emotional Brain Institute, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, 10962, USA.
| | - Emma Theisen
- Emotional Brain Institute, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, 10962, USA
| | - Anna Blomkvist
- Department of Child and Adolescent Psychiatry, NYU Langone Health, New York, NY, 10016, USA.,Department of Psychology, Stockholm University, Stockholm, Sweden
| | - Kaitlin Hollis
- Department of Child and Adolescent Psychiatry, NYU Langone Health, New York, NY, 10016, USA
| | - Teresa Lind
- Psychological and Brain Sciences, University of Delaware, Newark, DE, 19716, USA.,Department of Psychiatry, UCSD, San Diego, CA, USA.,Child and Adolescent Services Research Center (CASRC), San Diego, CA, USA
| | - Emma Sarro
- Department of Child and Adolescent Psychiatry, NYU Langone Health, New York, NY, 10016, USA.,Emotional Brain Institute, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, 10962, USA.,Dominican College, Orangeburg, NY, 10962, USA
| | - Johan N Lundström
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Nim Tottenham
- Department of Psychology, Columbia University, New York, NY, USA
| | - Mary Dozier
- Psychological and Brain Sciences, University of Delaware, Newark, DE, 19716, USA
| | - Donald A Wilson
- Department of Child and Adolescent Psychiatry, NYU Langone Health, New York, NY, 10016, USA.,Emotional Brain Institute, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, 10962, USA.,Center for Neural Science, New York University, New York, NY, 10003, USA
| | - Regina M Sullivan
- Department of Child and Adolescent Psychiatry, NYU Langone Health, New York, NY, 10016, USA. .,Emotional Brain Institute, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, 10962, USA. .,Center for Neural Science, New York University, New York, NY, 10003, USA.
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Edgar JC. Identifying electrophysiological markers of autism spectrum disorder and schizophrenia against a backdrop of normal brain development. Psychiatry Clin Neurosci 2020; 74:1-11. [PMID: 31472015 PMCID: PMC10150852 DOI: 10.1111/pcn.12927] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 08/26/2019] [Accepted: 08/27/2019] [Indexed: 01/25/2023]
Abstract
An examination of electroencephalographic and magnetoencephalographic studies demonstrates how age-related changes in brain neural function temporally constrain their use as diagnostic markers. A first example shows that, given maturational changes in the resting-state peak alpha frequency in typically developing children but not in children who have autism spectrum disorder (ASD), group differences in alpha-band activity characterize only a subset of children who have ASD. A second example, auditory encoding processes in schizophrenia, shows that the complication of normal age-related brain changes on detecting and interpreting group differences in neural activity is not specific to children. MRI studies reporting group differences in the rate of brain maturation demonstrate that a group difference in brain maturation may be a concern for all diagnostic brain markers. Attention to brain maturation is needed whether one takes a DSM-5 or a Research Domain Criteria approach to research. For example, although there is interest in cross-diagnostic studies comparing brain measures in ASD and schizophrenia, such studies are difficult given that measures are obtained in one group well after and in the other much closer to the onset of symptoms. In addition, given differences in brain activity among infants, toddlers, children, adolescents, and younger and older adults, creating tasks and research designs that produce interpretable findings across the life span and yet allow for development is difficult at best. To conclude, brain imaging findings show an effect of brain maturation on diagnostic markers separate from (and potentially difficult to distinguish from) effects of disease processes. Available research with large samples already provides direction about the age range(s) when diagnostic markers are most robust and informative.
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Affiliation(s)
- J Christopher Edgar
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, USA
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40
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Murphy N, Ramakrishnan N, Walker CP, Polizzotto NR, Cho RY. Intact Auditory Cortical Cross-Frequency Coupling in Early and Chronic Schizophrenia. Front Psychiatry 2020; 11:507. [PMID: 32581881 PMCID: PMC7287164 DOI: 10.3389/fpsyt.2020.00507] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Accepted: 05/18/2020] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Previous work has identified a hierarchical organization of neural oscillations that supports performance of complex cognitive and perceptual tasks, and can be indexed with phase-amplitude coupling (PAC) between low- and high-frequency oscillations. Our aim was to employ enhanced source localization afforded by magnetoencephalography (MEG) to expand on earlier reports of intact auditory cortical PAC in schizophrenia and to investigate how PAC may evolve over the early and chronic phases of the illness. METHODS Individuals with early schizophrenia (n=12) (≤5 years of illness duration), chronic schizophrenia (n=16) (>5 years of illness duration) and healthy comparators (n = 17) performed the auditory steady state response (ASSR) to 40, 30, and 20 Hz stimuli during MEG recordings. We estimated amplitude and PAC on the MEG ASSR source localized to the auditory cortices. RESULTS Gamma amplitude during 40-Hz ASSR exhibited a significant group by hemisphere interaction, with both patient groups showing reduced right hemisphere amplitude and no overall lateralization in contrast to the right hemisphere lateralization demonstrated in controls. We found significant PAC in the right auditory cortex during the 40-Hz entrainment condition relative to baseline, however, PAC did not differ significantly between groups. CONCLUSIONS In the current study, we demonstrated an apparent sparing of ASSR-related PAC across phases of the illness, in contrast with impaired cortical gamma oscillation amplitudes. The distinction between our PAC and evoked ASSR findings supports the notion of separate but interacting circuits for the generation and maintenance of sensory gamma oscillations. The apparent sparing of PAC in both early and chronic schizophrenia patients could imply that the neuropathology of schizophrenia differentially affects these mechanisms across different stages of the disease. Future studies should investigate the distinction between PAC during passive tasks and more cognitively demanding task such as working memory so that we can begin to understand the influence of schizophrenia neuropathology on the larger framework for modulating neurocomputational capacity.
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Affiliation(s)
- Nicholas Murphy
- Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States.,Research Service Line, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, United States
| | - Nithya Ramakrishnan
- Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States.,Research Service Line, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, United States
| | - Christopher P Walker
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Nicola R Polizzotto
- Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Raymond Y Cho
- Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States.,Research Service Line, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, United States.,Menninger Clinic, Houston, TX, United States
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41
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Edgar JC, Blaskey L, Green HL, Konka K, Shen G, Dipiero MA, Berman JI, Bloy L, Liu S, McBride E, Ku M, Kuschner ES, Airey M, Kim M, Franzen RE, Miller GA, Roberts TPL. Maturation of Auditory Cortex Neural Activity in Children and Implications for Auditory Clinical Markers in Diagnosis. Front Psychiatry 2020; 11:584557. [PMID: 33329127 PMCID: PMC7717950 DOI: 10.3389/fpsyt.2020.584557] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 10/15/2020] [Indexed: 01/14/2023] Open
Abstract
Functional brain markers that can inform research on brain abnormalities, and especially those ready to facilitate clinical work on such abnormalities, will need to show not only considerable sensitivity and specificity but enough consistency with respect to developmental course that their validity in individual cases can be trusted. A challenge to establishing such markers may be individual differences in developmental course. The present study examined auditory cortex activity in children at an age when developmental changes to the auditory cortex 50 ms (M50) and 100 ms (M100) components are prominent to better understand the use of auditory markers in pediatric clinical research. MEG auditory encoding measures (auditory evoked fields in response to pure tone stimuli) were obtained from 15 typically developing children 6-8 years old, with measures repeated 18 and 36 months after the initial exam. MEG analyses were conducted in source space (i.e., brain location), with M50 and M100 sources identified in left and right primary/secondary auditory cortex (Heschl's gyrus). A left and right M50 response was observed at all times (Time 1, Time 2, Time 3), with M50 latency (collapsing across hemisphere) at Time 3 (77 ms) 10 ms earlier than Time 1 (87 ms; p < 0.001) and with M50 responses on average (collapsing across time) 5 ms earlier in the right (80 ms) than left hemisphere (85 ms; p < 0.05). In the majority of children, however, M50 latency changes were not constant across the three-year period; for example, whereas in some children a ~10 ms latency reduction was observed from Time 1 to Time 2, in other children a ~10 ms latency reduction was observed from Time 2 to Time 3. M100 responses were defined by a significant "peak" of detected power with magnetic field topography opposite M50 and occurring 50-100 ms later than the M50. Although M100s were observed in a few children at Time 1 and Time 2 (and more often in the right than left hemisphere), M100s were not observed in the majority of children except in the right hemisphere at Time 3. In sum, longitudinal findings showed large between- and within-subject variability in rate of change as well as time to reach neural developmental milestones (e.g., presence of a detectable M100 response). Findings also demonstrated the need to examine whole-brain activity, given hemisphere differences in the rate of auditory cortex maturation. Pediatric research will need to take such normal variability into account when seeking clinical auditory markers.
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Affiliation(s)
- J Christopher Edgar
- Department of Radiology, Lurie Family Foundations Magnetoencephalography Imaging Center, The Children's Hospital of Philadelphia, Philadelphia, PA, United States.,Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Lisa Blaskey
- Department of Radiology, Lurie Family Foundations Magnetoencephalography Imaging Center, The Children's Hospital of Philadelphia, Philadelphia, PA, United States.,Department of Pediatrics, Center for Autism Research, The Children's Hospital of Philadelphia, Philadelphia, PA, United States.,Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Heather L Green
- Department of Radiology, Lurie Family Foundations Magnetoencephalography Imaging Center, The Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Kimberly Konka
- Department of Radiology, Lurie Family Foundations Magnetoencephalography Imaging Center, The Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Guannan Shen
- Department of Radiology, Lurie Family Foundations Magnetoencephalography Imaging Center, The Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Marissa A Dipiero
- Department of Radiology, Lurie Family Foundations Magnetoencephalography Imaging Center, The Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Jeffrey I Berman
- Department of Radiology, Lurie Family Foundations Magnetoencephalography Imaging Center, The Children's Hospital of Philadelphia, Philadelphia, PA, United States.,Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Luke Bloy
- Department of Radiology, Lurie Family Foundations Magnetoencephalography Imaging Center, The Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Song Liu
- Department of Radiology, Lurie Family Foundations Magnetoencephalography Imaging Center, The Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Emma McBride
- Department of Radiology, Lurie Family Foundations Magnetoencephalography Imaging Center, The Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Matt Ku
- Department of Radiology, Lurie Family Foundations Magnetoencephalography Imaging Center, The Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Emily S Kuschner
- Department of Radiology, Lurie Family Foundations Magnetoencephalography Imaging Center, The Children's Hospital of Philadelphia, Philadelphia, PA, United States.,Department of Pediatrics, Center for Autism Research, The Children's Hospital of Philadelphia, Philadelphia, PA, United States.,Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Megan Airey
- Department of Radiology, Lurie Family Foundations Magnetoencephalography Imaging Center, The Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Mina Kim
- Department of Radiology, Lurie Family Foundations Magnetoencephalography Imaging Center, The Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Rose E Franzen
- Department of Radiology, Lurie Family Foundations Magnetoencephalography Imaging Center, The Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Gregory A Miller
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States.,Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Timothy P L Roberts
- Department of Radiology, Lurie Family Foundations Magnetoencephalography Imaging Center, The Children's Hospital of Philadelphia, Philadelphia, PA, United States.,Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
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Hartkopf J, Moser J, Schleger F, Preissl H, Keune J. Changes in event-related brain responses and habituation during child development - A systematic literature review. Clin Neurophysiol 2019; 130:2238-2254. [PMID: 31711004 DOI: 10.1016/j.clinph.2019.08.029] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2019] [Revised: 08/07/2019] [Accepted: 08/24/2019] [Indexed: 01/09/2023]
Abstract
OBJECTIVE This systematic review highlights the influence of developmental changes of the central nervous system on habituation assessment during child development. Therefore, studies on age dependant changes in event-related brain responses as well as studies on behavioural and neurophysiological habituation during child development are compiled and discussed. METHODS Two PubMed searches with terms "(development evoked brain response (fetus OR neonate OR children) (electroencephalography OR magnetoencephalography))" and with terms "(psychology habituation (fetal OR neonate OR children) (human brain))" were performed to identify studies on developmental changes in event-related brain responses as well as habituation studies during child development. RESULTS Both search results showed a wide diversity of subjects' ages, stimulation protocols and examined behaviour or components of event-related brain responses as well as a demand for more longitudinal study designs. CONCLUSIONS A conclusive statement about clear developmental trends in event-related brain responses or in neurophysiological habituation studies is difficult to draw. Future studies should implement longitudinal designs, combination of behavioural and neurophysiological habituation measurement and more complex habituation paradigms to assess several habituation criteria. SIGNIFICANCE This review emphasizes that event-related brain responses underlie certain changes during child development which should be more considered in the context of neurophysiological habituation studies.
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Affiliation(s)
- Julia Hartkopf
- Institute for Diabetes Research and Metabolic Diseases/German Center for Diabetes Research (DZD e.V.) of the Helmholtz Center Munich at the University of Tuebingen, Otfried-Mueller-Strasse 10, 72076 Tuebingen, Germany; fMEG-Center, University of Tuebingen, Otfried-Mueller-Strasse 47, 72076 Tuebingen, Germany.
| | - Julia Moser
- Institute for Diabetes Research and Metabolic Diseases/German Center for Diabetes Research (DZD e.V.) of the Helmholtz Center Munich at the University of Tuebingen, Otfried-Mueller-Strasse 10, 72076 Tuebingen, Germany; fMEG-Center, University of Tuebingen, Otfried-Mueller-Strasse 47, 72076 Tuebingen, Germany.
| | - Franziska Schleger
- Institute for Diabetes Research and Metabolic Diseases/German Center for Diabetes Research (DZD e.V.) of the Helmholtz Center Munich at the University of Tuebingen, Otfried-Mueller-Strasse 10, 72076 Tuebingen, Germany; fMEG-Center, University of Tuebingen, Otfried-Mueller-Strasse 47, 72076 Tuebingen, Germany.
| | - Hubert Preissl
- Institute for Diabetes Research and Metabolic Diseases/German Center for Diabetes Research (DZD e.V.) of the Helmholtz Center Munich at the University of Tuebingen, Otfried-Mueller-Strasse 10, 72076 Tuebingen, Germany; fMEG-Center, University of Tuebingen, Otfried-Mueller-Strasse 47, 72076 Tuebingen, Germany.
| | - Jana Keune
- fMEG-Center, University of Tuebingen, Otfried-Mueller-Strasse 47, 72076 Tuebingen, Germany; Department of Neurology, Klinikum Bayreuth GmbH, Hohe Warte 8, 95445 Bayreuth, Germany.
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De Stefano LA, Schmitt LM, White SP, Mosconi MW, Sweeney JA, Ethridge LE. Developmental Effects on Auditory Neural Oscillatory Synchronization Abnormalities in Autism Spectrum Disorder. Front Integr Neurosci 2019; 13:34. [PMID: 31402856 PMCID: PMC6670023 DOI: 10.3389/fnint.2019.00034] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2019] [Accepted: 07/11/2019] [Indexed: 01/02/2023] Open
Abstract
Previous studies have found alterations in 40 Hz oscillatory activity in response to auditory stimuli in adults with Autism Spectrum Disorder (ASD). The current study sought to examine the specificity and developmental trajectory of these findings by driving the cortex to oscillate at a range of frequencies in both children and adults with and without ASD. Fifteen participants with ASD (3 female, aged 6–23 years) and 15 age-matched controls (4 female, aged 6–25 years) underwent dense-array EEG as they listened to a carrier tone amplitude-modulated by a sinusoid linearly increasing in frequency from 0–100 Hz over 2 s. EEG data were analyzed for inter-trial phase coherence (ITPC) and single-trial power (STP). Older participants with ASD displayed significantly decreased ability to phase-lock to the stimulus in the low gamma frequency range relative to their typically developing (TD) counterparts, while younger ASD and TD did not significantly differ from each other. An interaction between age and diagnosis suggested that TD and ASD also show different developmental trajectories for low gamma power; TD showed a significant decrease in low gamma power with age, while ASD did not. Regardless of age, increased low gamma STP was significantly correlated with increased clinical scores for repetitive behaviors in the ASD group, particularly insistence on sameness. This study contributes to a growing body of evidence supporting alterations in auditory processing in ASD. Older ASD participants showed more pronounced low gamma deficits than younger participants, suggesting an altered developmental trajectory for neural activity contributing to auditory processing deficits that may also be more broadly clinically relevant. Future studies are needed employing a longitudinal approach to confirm findings of this cross-sectional study.
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Affiliation(s)
- Lisa A De Stefano
- Department of Psychology, The University of Oklahoma, Norman, OK, United States
| | - Lauren M Schmitt
- Division of Developmental and Behavioral Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
| | - Stormi P White
- Department of Pediatrics, Emory University School of Medicine, Marcus Autism Center, Atlanta, GA, United States
| | - Matthew W Mosconi
- Schiefelbusch Institute for Life Span Studies and Clinical Child Psychology Program, University of Kansas, Lawrence, KS, United States.,Kansas Center for Autism Research and Training (KCART), Kansas City, KS, United States
| | - John A Sweeney
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, United States
| | - Lauren E Ethridge
- Department of Psychology, The University of Oklahoma, Norman, OK, United States.,Department of Pediatrics, Section on Developmental & Behavioral Pediatrics, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
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Port RG, Dipiero MA, Ku M, Liu S, Blaskey L, Kuschner ES, Edgar JC, Roberts TP, Berman JI. Children with Autism Spectrum Disorder Demonstrate Regionally Specific Altered Resting-State Phase-Amplitude Coupling. Brain Connect 2019; 9:425-436. [PMID: 30900464 PMCID: PMC6588114 DOI: 10.1089/brain.2018.0653] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
Studies suggest that individuals with autism spectrum disorder (ASD) exhibit altered electrophysiological alpha to gamma phase-amplitude coupling (PAC). Preliminary reports with small samples report conflicting findings regarding the directionality of the alpha to gamma PAC alterations in ASD. The present study examined resting-state activity throughout the brain in a relatively large sample of 119 children with ASD and 47 typically developing children. Children with ASD demonstrated regionally specific abnormalities in alpha to low-gamma PAC, with increased alpha to low-gamma PAC for a central midline source and decreased PAC at lateral sources. Group differences in local gamma-band power did not account for the regional group differences in alpha to low-gamma PAC. Moreover, local alpha power did not significantly modulate alpha to low-gamma PAC estimates. Finally, PAC estimates were correlated with Social Responsiveness Scale (SRS) indicating clinical relevance of the PAC metric. In conclusion, alpha to low-gamma PAC alterations in ASD demonstrate a heterogeneous spatial profile consistent with previous studies and were related to symptom severity.
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Affiliation(s)
- Russell G. Port
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Department of Radiology, Lurie Family Foundations MEG Imaging Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Marissa A. Dipiero
- Department of Radiology, Lurie Family Foundations MEG Imaging Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Matthew Ku
- Department of Radiology, Lurie Family Foundations MEG Imaging Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Song Liu
- Department of Radiology, Lurie Family Foundations MEG Imaging Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Lisa Blaskey
- Department of Radiology, Lurie Family Foundations MEG Imaging Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
- Department of Pediatrics, Center for Autism Research, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Emily S. Kuschner
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Department of Radiology, Lurie Family Foundations MEG Imaging Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - J. Christopher Edgar
- Department of Radiology, Lurie Family Foundations MEG Imaging Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Timothy P.L. Roberts
- Department of Radiology, Lurie Family Foundations MEG Imaging Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jeffrey I. Berman
- Department of Radiology, Lurie Family Foundations MEG Imaging Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
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45
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Okada N, Ando S, Sanada M, Hirata-Mogi S, Iijima Y, Sugiyama H, Shirakawa T, Yamagishi M, Kanehara A, Morita M, Yagi T, Hayashi N, Koshiyama D, Morita K, Sawada K, Ikegame T, Sugimoto N, Toriyama R, Masaoka M, Fujikawa S, Kanata S, Tada M, Kirihara K, Yahata N, Araki T, Jinde S, Kano Y, Koike S, Endo K, Yamasaki S, Nishida A, Hiraiwa-Hasegawa M, Bundo M, Iwamoto K, Tanaka SC, Kasai K. Population-neuroscience study of the Tokyo TEEN Cohort (pn-TTC): Cohort longitudinal study to explore the neurobiological substrates of adolescent psychological and behavioral development. Psychiatry Clin Neurosci 2019; 73:231-242. [PMID: 30588712 DOI: 10.1111/pcn.12814] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Revised: 12/06/2018] [Accepted: 12/25/2018] [Indexed: 12/14/2022]
Abstract
AIM Adolescence is a crucial stage of psychological development and is critically vulnerable to the onset of psychopathology. Our understanding of how the maturation of endocrine, epigenetics, and brain circuit may underlie psychological development in adolescence, however, has not been integrated. Here, we introduce our research project, the population-neuroscience study of the Tokyo TEEN Cohort (pn-TTC), a longitudinal study to explore the neurobiological substrates of development during adolescence. METHODS Participants in the first wave of the pn-TTC (pn-TTC-1) study were recruited from those of the TTC study, a large-scale epidemiological survey in which 3171 parent-adolescent pairs were recruited from the general population. Participants underwent psychological, cognitive, sociological, and physical assessment. Moreover, adolescents and their parents underwent magnetic resonance imaging (MRI; structural MRI, resting-state functional MRI, and magnetic resonance spectroscopy), and adolescents provided saliva samples for hormone analysis and for DNA analysis including epigenetics. Furthermore, the second wave (pn-TTC-2) followed similar methods as in the first wave. RESULTS A total of 301 parent-adolescent pairs participated in the pn-TTC-1 study. Moreover, 281 adolescents participated in the pn-TTC-2 study, 238 of whom were recruited from the pn-TTC-1 sample. The instruction for data request is available at: http://value.umin.jp/data-resource.html. CONCLUSION The pn-TTC project is a large-scale and population-neuroscience-based survey with a plan of longitudinal biennial follow up. Through this approach we seek to elucidate adolescent developmental mechanisms according to biopsychosocial models. This current biomarker research project, using minimally biased samples recruited from the general population, has the potential to expand the new research field of population neuroscience.
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Affiliation(s)
- Naohiro Okada
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo, Japan
| | - Shuntaro Ando
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,Department of Psychiatry and Behavioral Sciences, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Motoyuki Sanada
- Center for Applied Psychological Science, Kwansei Gakuin University, Nishinomiya, Japan
| | - Sachiko Hirata-Mogi
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Yudai Iijima
- Department of Psychiatry and Behavioral Sciences, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan.,Department of Physical and Health Education, Graduate School of Education, The University of Tokyo, Tokyo, Japan
| | - Hiroshi Sugiyama
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,Department of Integrated Educational Sciences, Graduate School of Education, The University of Tokyo, Tokyo, Japan
| | - Toru Shirakawa
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Mika Yamagishi
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Akiko Kanehara
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Masaya Morita
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Tomoko Yagi
- Department of Child Psychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Noriyuki Hayashi
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Daisuke Koshiyama
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kentaro Morita
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kingo Sawada
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Tempei Ikegame
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,Department of Molecular Psychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Noriko Sugimoto
- Department of Child Psychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Rie Toriyama
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Mio Masaoka
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Shinya Fujikawa
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Sho Kanata
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,Department of Psychiatry, Teikyo University School of Medicine, Tokyo, Japan
| | - Mariko Tada
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo, Japan
| | - Kenji Kirihara
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Noriaki Yahata
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,Department of Molecular Imaging and Theranostics, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan
| | - Tsuyoshi Araki
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Seiichiro Jinde
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Yukiko Kano
- Department of Child Psychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Shinsuke Koike
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo, Japan.,UTokyo Institute for Diversity and Adaptation of Human Mind (UTIDAHM), The University of Tokyo, Tokyo, Japan
| | - Kaori Endo
- Department of Psychiatry and Behavioral Sciences, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Syudo Yamasaki
- Department of Psychiatry and Behavioral Sciences, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Atsushi Nishida
- Department of Psychiatry and Behavioral Sciences, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Mariko Hiraiwa-Hasegawa
- Department of Evolutionary Studies of Biosystems, School of Advanced Sciences, Graduate University for Advanced Studies (SOKENDAI), Hayama, Japan
| | - Miki Bundo
- Department of Molecular Psychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,Department of Molecular Brain Science, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan
| | - Kazuya Iwamoto
- Department of Molecular Psychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,Department of Molecular Brain Science, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan
| | - Saori C Tanaka
- Department of Computational Neurobiology, ATR Computational Neuroscience Laboratories, Kyoto, Japan
| | - Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo, Japan
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Huyck JJ, Rosen MJ. Development of perception and perceptual learning for multi-timescale filtered speech. THE JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA 2018; 144:667. [PMID: 30180675 DOI: 10.1121/1.5049369] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2017] [Accepted: 07/18/2018] [Indexed: 06/08/2023]
Abstract
The perception of temporally changing auditory signals has a gradual developmental trajectory. Speech is a time-varying signal, and slow changes in speech (filtered at 0-4 Hz) are preferentially processed by the right hemisphere, while the left extracts faster changes (filtered at 22-40 Hz). This work examined the ability of 8- to 19-year-olds to both perceive and learn to perceive filtered speech presented diotically for each filter type (low vs high) and dichotically for preferred or non-preferred laterality. Across conditions, performance improved with increasing age, indicating that the ability to perceive filtered speech continues to develop into adolescence. Across age, performance was best when both bands were presented dichotically, but with no benefit for presentation to the preferred hemisphere. Listeners thus integrated slow and fast transitions between the two ears, benefitting from more signal information, but not in a hemisphere-specific manner. After accounting for potential ceiling effects, learning was greatest when both bands were presented dichotically. These results do not support the idea that cochlear implants could be improved by providing differentially filtered information to each ear. Listeners who started with poorer performance learned more, a factor which could contribute to the positive cochlear implant outcomes typically seen in younger children.
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Affiliation(s)
- Julia Jones Huyck
- Speech Pathology and Audiology Program, Kent State University, 1325 Theatre Drive, Kent, Ohio 44242, USA
| | - Merri J Rosen
- Department of Anatomy and Neurobiology, Northeast Ohio Medical University, 4209 State Route 44, Rootstown, Ohio 44272, USA
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Riley JD, Chen EE, Winsell J, Davis EP, Glynn LM, Baram TZ, Sandman CA, Small SL, Solodkin A. Network specialization during adolescence: Hippocampal effective connectivity in boys and girls. Neuroimage 2018; 175:402-412. [PMID: 29649560 PMCID: PMC5978413 DOI: 10.1016/j.neuroimage.2018.04.013] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Revised: 04/04/2018] [Accepted: 04/08/2018] [Indexed: 12/15/2022] Open
Abstract
Adolescence is a complex period of concurrent mental and physical development that facilitates adult functioning at multiple levels. Despite the growing number of neuroimaging studies of cognitive development in adolescence focusing on regional activation patterns, there remains a paucity of information about the functional interactions across these participating regions that are critical for cognitive functioning, including memory. The current study used structural equation modeling (SEM) to determine how interactions among brain regions critical for memory change over the course of adolescence. We obtained functional MRI in 77 individuals aged 8-16 years old, divided into younger (ages 8-10) and older (ages > 11) cohorts, using an incidental encoding memory task to activate hippocampus formation and associated brain networks, as well as behavioral data on memory function. SEM was performed on the imaging data for four groups (younger girls, younger boys, older girls, and older boys) that were subsequently compared using a stacked model approach. Significant differences were seen between the models for these groups. Younger boys had a predominantly posterior distribution of connections originating in primary visual regions and terminating on multi-modal processing regions. In older boys, there was a relatively greater anterior connection distribution, with increased effective connectivity within association and multi-modal processing regions. Connection patterns in younger girls were similar to those of older boys, with a generally anterior-posterior distributed network among sensory, multi-modal, and limbic regions. In contrast, connections in older girls were widely distributed but relatively weaker. Memory performance increased with age, without a significant difference between the sexes. These findings suggest a progressive reorganization among brain regions, with a commensurate increase in efficiency of cognitive functioning, from younger to older individuals in both girls and boys, providing insight into the age- and gender-specific processes at play during this critical transition period.
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Affiliation(s)
- Jeffrey D Riley
- Department of Neurology, University of California Irvine, USA.
| | - E Elinor Chen
- Department of Anatomy & Neurobiology, University of California Irvine, USA
| | - Jessica Winsell
- Department of Anatomy & Neurobiology, University of California Irvine, USA
| | | | - Laura M Glynn
- Department of Psychology, Chapman University, USA; Department of Psychiatry & Human Behavior, University of California Irvine, USA
| | - Tallie Z Baram
- Department of Neurology, University of California Irvine, USA; Department of Anatomy & Neurobiology, University of California Irvine, USA; Department of Pediatrics, University of California Irvine, USA
| | - Curt A Sandman
- Department of Psychiatry & Human Behavior, University of California Irvine, USA
| | - Steven L Small
- Department of Neurology, University of California Irvine, USA
| | - Ana Solodkin
- Department of Neurology, University of California Irvine, USA; Department of Anatomy & Neurobiology, University of California Irvine, USA
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48
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Input-dependent modulation of MEG gamma oscillations reflects gain control in the visual cortex. Sci Rep 2018; 8:8451. [PMID: 29855596 PMCID: PMC5981429 DOI: 10.1038/s41598-018-26779-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Accepted: 05/17/2018] [Indexed: 01/06/2023] Open
Abstract
Gamma-band oscillations arise from the interplay between neural excitation (E) and inhibition (I) and may provide a non-invasive window into the state of cortical circuitry. A bell-shaped modulation of gamma response power by increasing the intensity of sensory input was observed in animals and is thought to reflect neural gain control. Here we sought to find a similar input-output relationship in humans with MEG via modulating the intensity of a visual stimulation by changing the velocity/temporal-frequency of visual motion. In the first experiment, adult participants observed static and moving gratings. The frequency of the MEG gamma response monotonically increased with motion velocity whereas power followed a bell-shape. In the second experiment, on a large group of children and adults, we found that despite drastic developmental changes in frequency and power of gamma oscillations, the relative suppression at high motion velocities was scaled to the same range of values across the life-span. In light of animal and modeling studies, the modulation of gamma power and frequency at high stimulation intensities characterizes the capacity of inhibitory neurons to counterbalance increasing excitation in visual networks. Gamma suppression may thus provide a non-invasive measure of inhibitory-based gain control in the healthy and diseased brain.
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Edgar JC, Fisk CL, Chen YH, Stone-Howell B, Liu S, Hunter MA, Huang M, Bustillo J, Cañive JM, Miller GA. Identifying auditory cortex encoding abnormalities in schizophrenia: The utility of low-frequency versus 40 Hz steady-state measures. Psychophysiology 2018; 55:e13074. [PMID: 29570815 DOI: 10.1111/psyp.13074] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2018] [Revised: 02/15/2018] [Accepted: 02/15/2018] [Indexed: 11/28/2022]
Abstract
Magnetoencephalography (MEG) and EEG have identified poststimulus low frequency and 40 Hz steady-state auditory encoding abnormalities in schizophrenia (SZ). Negative findings have also appeared. To identify factors contributing to these inconsistencies, healthy control (HC) and SZ group differences were examined in MEG and EEG source space and EEG sensor space, with better group differentiation hypothesized for source than sensor measures given greater predictive utility for source measures. Fifty-five HC and 41 chronic SZ were presented 500 Hz sinusoidal stimuli modulated at 40 Hz during simultaneous whole-head MEG and EEG. MEG and EEG source models using left and right superior temporal gyrus (STG) dipoles estimated trial-to-trial phase similarity and percent change from prestimulus baseline. Group differences in poststimulus low-frequency activity and 40 Hz steady-state response were evaluated. Several EEG sensor analysis strategies were also examined. Poststimulus low-frequency group differences were observed across all methods. Given an age-related decrease in left STG 40 Hz steady-state activity in HC (HC > SZ), 40 Hz steady-state group differences were evident only in younger participants' source measures. Findings thus indicated that optimal data collection and analysis methods depend on the auditory encoding measure of interest. In addition, whereas results indicated that HC and SZ auditory encoding low-frequency group differences are generally comparable across modality and analysis strategy (and thus not dependent on obtaining construct-valid measures of left and right auditory cortex activity), 40 Hz steady-state group-difference findings are much more dependent on analysis strategy, with 40 Hz steady-state source-space findings providing the best group differentiation.
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Affiliation(s)
- J C Edgar
- The Children's Hospital of Philadelphia and University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Charles L Fisk
- The Children's Hospital of Philadelphia and University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Yu-Han Chen
- The Children's Hospital of Philadelphia and University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Breannan Stone-Howell
- Department of Psychiatry, The University of New Mexico School of Medicine, Center for Psychiatric Research, Albuquerque, New Mexico, USA.,New Mexico Raymond G. Murphy VA Healthcare System, Psychiatry Research, Albuquerque, New Mexico, USA
| | - Song Liu
- The Children's Hospital of Philadelphia and University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Michael A Hunter
- Department of Psychiatry, The University of New Mexico School of Medicine, Center for Psychiatric Research, Albuquerque, New Mexico, USA.,New Mexico Raymond G. Murphy VA Healthcare System, Psychiatry Research, Albuquerque, New Mexico, USA
| | - Mingxiong Huang
- Department of Radiology, University of California, San Diego, San Diego, California, USA.,Department of Radiology, San Diego VA Healthcare System, San Diego, California, USA
| | - Juan Bustillo
- Department of Psychiatry, The University of New Mexico School of Medicine, Center for Psychiatric Research, Albuquerque, New Mexico, USA
| | - José M Cañive
- Department of Psychiatry, The University of New Mexico School of Medicine, Center for Psychiatric Research, Albuquerque, New Mexico, USA.,New Mexico Raymond G. Murphy VA Healthcare System, Psychiatry Research, Albuquerque, New Mexico, USA
| | - Gregory A Miller
- Department of Psychology and Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California, USA
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