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Khodadadi M, Helluy X, Güntürkün O, Behroozi M. Segmented spin-echo echo-planar imaging improves whole-brain BOLD functional MRI in awake pigeon brains. NMR Biomed 2024; 37:e5034. [PMID: 37681398 DOI: 10.1002/nbm.5034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 08/10/2023] [Accepted: 08/18/2023] [Indexed: 09/09/2023]
Abstract
Functional magnetic resonance imaging (fMRI) in awake small animals such as pigeons or songbirds opens a new window into the neural fundaments of cognitive behavior. However, high-field fMRI in the avian brain is challenging due to strong local magnetic field inhomogeneities caused by air cavities in the skull. A spoiled gradient-echo fMRI sequence has already been used to map the auditory network in songbirds, but due to susceptibility artifacts only 50% of the whole brain could be recorded. Since whole-brain fMRI coverage is vital to reveal whole-brain networks, an MRI sequence that is less susceptible to these artifacts was required. This was recently achieved in various bird species by using a rapid acquisition with relaxation enhancement (RARE) sequence. Weak blood oxygen level-dependent (BOLD) sensitivity, low temporal resolution, and heat caused by the long train of RF refocusing pulses are the main limits of RARE fMRI at high magnetic fields. To go beyond some of these limitations, we here describe the implementation of a two-segmented spin-echo echo-planar imaging (SE-EPI). The proposed sequence covers the whole brain of awake pigeons. The sequence was applied to investigate the auditory network in awake pigeons and assessed the relative merits of this method in comparison with the single-shot RARE sequence. At the same imaging resolution but with a volume acquisition of 3 s versus 4 s for RARE, the two-segmented SE-EPI provided twice the strength of BOLD activity compared with the single-shot RARE sequence, while the image signal-to-noise ratio (SNR) and in particular the temporal SNR were very similar for the two sequences. In addition, the activation patterns in two-segmented SE-EPI data are more symmetric and larger than single-shot RARE results. Two-segmented SE-EPI represents a valid alternative to the RARE sequence in avian fMRI research since it yields more than twice the BOLD sensitivity per unit of time with much less energy deposition and better temporal resolution, particularly for event-related experiments.
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Affiliation(s)
- Mina Khodadadi
- Department of Biopsychology, Institute of Cognitive Neuroscience, Faculty of Psychology, Ruhr-University Bochum, Bochum, Germany
- Department of Basic Sciences, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran
| | - Xavier Helluy
- Department of Biopsychology, Institute of Cognitive Neuroscience, Faculty of Psychology, Ruhr-University Bochum, Bochum, Germany
- Department of Neurophysiology, Faculty of Medicine, Ruhr University Bochum, Bochum, Germany
| | - Onur Güntürkün
- Department of Biopsychology, Institute of Cognitive Neuroscience, Faculty of Psychology, Ruhr-University Bochum, Bochum, Germany
- Research Center One Health Ruhr, Research Alliance Ruhr, Ruhr University Bochum, Bochum, Germany
| | - Mehdi Behroozi
- Department of Biopsychology, Institute of Cognitive Neuroscience, Faculty of Psychology, Ruhr-University Bochum, Bochum, Germany
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Coray RC, Zimmermann J, Haugg A, Baumgartner MR, Steuer AE, Seifritz E, Stock AK, Beste C, Cole DM, Quednow BB. The functional connectome of 3,4-methyldioxymethamphetamine-related declarative memory impairments. Hum Brain Mapp 2023; 44:5079-5094. [PMID: 37530403 PMCID: PMC10502674 DOI: 10.1002/hbm.26438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 06/30/2023] [Accepted: 07/14/2023] [Indexed: 08/03/2023] Open
Abstract
The chronic intake of 3,4-methylenedioxymethamphetamine (MDMA, "ecstasy") bears a strong risk for sustained declarative memory impairments. Although such memory deficits have been repeatedly reported, their neurofunctional origin remains elusive. Therefore, we here investigate the neuronal basis of altered declarative memory in recurrent MDMA users at the level of brain connectivity. We examined a group of 44 chronic MDMA users and 41 demographically matched controls. Declarative memory performance was assessed by the Rey Auditory Verbal Learning Test and a visual associative learning test. To uncover alterations in the whole brain connectome between groups, we employed a data-driven multi-voxel pattern analysis (MVPA) approach on participants' resting-state functional magnetic resonance imaging data. Recent MDMA use was confirmed by hair analyses. MDMA users showed lower performance in delayed recall across tasks compared to well-matched controls with moderate-to-strong effect sizes. MVPA revealed a large cluster located in the left postcentral gyrus of global connectivity differences between groups. Post hoc seed-based connectivity analyses with this cluster unraveled hypoconnectivity to temporal areas belonging to the auditory network and hyperconnectivity to dorsal parietal regions belonging to the dorsal attention network in MDMA users. Seed-based connectivity strength was associated with verbal memory performance in the whole sample as well as with MDMA intake patterns in the user group. Our findings suggest that functional underpinnings of MDMA-related memory impairments encompass altered patterns of multimodal sensory integration within auditory processing regions to a functional heteromodal connector hub, the left postcentral gyrus. In addition, hyperconnectivity in regions of a cognitive control network might indicate compensation for degraded sensory processing.
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Affiliation(s)
- Rebecca C Coray
- Experimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy, and Psychosomatics, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, ETH Zurich and University of Zurich, Zurich, Switzerland
| | - Josua Zimmermann
- Experimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy, and Psychosomatics, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, ETH Zurich and University of Zurich, Zurich, Switzerland
| | - Amelie Haugg
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Markus R Baumgartner
- Center for Forensic Hair Analytics, Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland
| | - Andrea E Steuer
- Department of Forensic Pharmacology and Toxicology, Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland
| | - Erich Seifritz
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Ann-Kathrin Stock
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Christian Beste
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - David M Cole
- Experimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy, and Psychosomatics, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Boris B Quednow
- Experimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy, and Psychosomatics, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, ETH Zurich and University of Zurich, Zurich, Switzerland
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Wang J, Wang X, Wang R, Duan X, Chen H, He C, Zhai J, Wu L, Chen H. Atypical Resting-State Functional Connectivity of Intra/Inter-Sensory Networks Is Related to Symptom Severity in Young Boys With Autism Spectrum Disorder. Front Physiol 2021; 12:626338. [PMID: 33868000 PMCID: PMC8044873 DOI: 10.3389/fphys.2021.626338] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 02/16/2021] [Indexed: 11/21/2022] Open
Abstract
Autism spectrum disorder (ASD) has been reported to have altered brain connectivity patterns in sensory networks, assessed using resting-state functional magnetic imaging (rs-fMRI). However, the results have been inconsistent. Herein, we aimed to systematically explore the interaction between brain sensory networks in 3–7-year-old boys with ASD (N = 29) using independent component analysis (ICA). Participants were matched for age, head motion, and handedness in the MRI scanner. We estimated the between-group differences in spatial patterns of the sensory resting-state networks (RSNs). Subsequently, the time series of each RSN were extracted from each participant’s preprocessed data and associated estimates of interaction strength between intra- and internetwork functional connectivity (FC) and symptom severity in children with ASD. The auditory network (AN), higher visual network (HVN), primary visual network (PVN), and sensorimotor network (SMN) were identified. Relative to TDs, individuals with ASD showed increased FC in the AN and SMN, respectively. Higher positive connectivity between the PVN and HVN in the ASD group was shown. The strength of such connections was associated with symptom severity. The current study might suggest that the abnormal connectivity patterns of the sensory network regions may underlie impaired higher-order multisensory integration in ASD children, and be associated with social impairments.
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Affiliation(s)
- Jia Wang
- Department of Children's and Adolescent Health, Public Health College of Harbin Medical University, Harbin, China
| | - Xiaomin Wang
- Department of Children's and Adolescent Health, Public Health College of Harbin Medical University, Harbin, China.,Pediatric Health Care Section, Ningbo Women & Children's Hospital, Ningbo, China
| | - Runshi Wang
- Ministry of Education (MOE), Key Lab for NeuroInformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China.,School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Xujun Duan
- Ministry of Education (MOE), Key Lab for NeuroInformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China.,School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Heng Chen
- School of Medicine, Guizhou University, Guiyang, China
| | - Changchun He
- Ministry of Education (MOE), Key Lab for NeuroInformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China.,School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Jinhe Zhai
- Department of Children's and Adolescent Health, Public Health College of Harbin Medical University, Harbin, China
| | - Lijie Wu
- Department of Children's and Adolescent Health, Public Health College of Harbin Medical University, Harbin, China
| | - Huafu Chen
- Ministry of Education (MOE), Key Lab for NeuroInformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China.,School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, China
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Chen J, Wu W, Xiang Z, Wang Q, Huang X, Lu C, Liu S, Chen Y, Yang J. Aberrant default mode network and auditory network underlying the sympathetic skin response of the penis (PSSR) of patients with premature ejaculation: A resting-state fMRI study. Andrology 2020; 9:277-287. [PMID: 32996293 DOI: 10.1111/andr.12914] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2020] [Revised: 09/21/2020] [Accepted: 09/23/2020] [Indexed: 12/27/2022]
Abstract
INTRODUCTION Hyperactivity of the sympathetic nervous system is considered as an important component involved in the pathological mechanisms of premature ejaculation (PE). However, the neural mechanisms of PE with high sympathetic activity are still not well understood. METHODS The activity of the sympathetic innervations in the penis was evaluated by the sympathetic skin response of the penis (PSSR) with an electromyograph and evoked potential equipment. Resting-state functional magnetic resonance imaging (fMRI) data were acquired from 18 PE patients with high sympathetic activity (sPE), 17 PE patients with normal sympathetic activity (nsPE), and 24 healthy controls (HC). We investigated the neural basis of sPE based on the measure of regional homogeneity (ReHo). Moreover, the correlations between brain regions with altered ReHo and PEDT scores and PSSR latencies in the patient group were explored. RESULTS Altered ReHo values among three groups were found in the temporal, cingulated, and parietal cortex in the default mode network (DMN), as well as the temporal cortex in the auditory network (AUD). Compared with HC, Patients with sPE had increased ReHo values of brain regions in DMN, AUD, and decreased ReHo values of brain regions in DMN. In addition, increased ReHo values were found in DMN of patients with nsPE, while decreased ReHo values were found in DMN and the attention network (AN). Moreover, sPE patients had increased ReHo values in AUD and decreased ReHo values in DMN when compared with nsPE patients. Finally, altered ReHo values of brain regions in DMN and AUD were associated with PEDT scores and PSSR latencies in the patient group. CONCLUSION Our results suggested that PE patients had abnormal ReHo values in DMN, AUD, and AN. Patients with sPE were characterized by increased neuronal activity in AUD and decreased activity in DMN. This highlighted the significances of DMN, AUD, and AN in the pathophysiology of PE and also provided potential neuroimaging biomarkers for distinguishing sPE from nsPE and HC.
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Affiliation(s)
- Jianhuai Chen
- Department of Andrology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Wanke Wu
- Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Ziliang Xiang
- Department of Andrology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Qing Wang
- Department of Andrology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Xinfei Huang
- Department of Andrology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Chao Lu
- Department of Radiology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Shaowei Liu
- Department of Radiology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Yun Chen
- Department of Andrology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Jie Yang
- Department of Urology, Jiangsu Provincial People's Hospital, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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Kuiper JJ, Lin YH, Young IM, Bai MY, Briggs RG, Tanglay O, Fonseka RD, Hormovas J, Dhanaraj V, Conner AK, O'Neal CM, Sughrue ME. A parcellation-based model of the auditory network. Hear Res 2020; 396:108078. [PMID: 32961519 DOI: 10.1016/j.heares.2020.108078] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Revised: 09/01/2020] [Accepted: 09/11/2020] [Indexed: 10/23/2022]
Abstract
INTRODUCTION The auditory network plays an important role in interaction with the environment. Multiple cortical areas, such as the inferior frontal gyrus, superior temporal gyrus and adjacent insula have been implicated in this processing. However, understanding of this network's connectivity has been devoid of tractography specificity. METHODS Using attention task-based functional magnetic resonance imaging (MRI) studies, an activation likelihood estimation (ALE) of the auditory network was generated. Regions of interest corresponding to the cortical parcellation scheme previously published under the Human Connectome Project were co-registered onto the ALE in the Montreal Neurological Institute coordinate space, and visually assessed for inclusion in the network. Diffusion spectrum MRI-based fiber tractography was performed to determine the structural connections between cortical parcellations comprising the network. RESULTS Fifteen cortical regions were found to be part of the auditory network: areas 44 and 8C, auditory area 1, 4, and 5, frontal operculum area 4, the lateral belt, medial belt and parabelt, parietal area F centromedian, perisylvian language area, retroinsular cortex, supplementary and cingulate eye field and the temporoparietal junction area 1. These regions showed consistent interconnections between adjacent parcellations. The frontal aslant tract was found to connect areas within the frontal lobe, while the arcuate fasciculus was found to connect the frontal and temporal lobe, and subcortical U-fibers were found to connect parcellations within the temporal area. Further studies may refine this model with the ultimate goal of clinical application.
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Affiliation(s)
- Joseph J Kuiper
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Yueh-Hsin Lin
- Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Suite 19, Level 7 Prince of Wales Private Hospital, Randwick, Sydney, NSW 2031, Australia
| | | | - Michael Y Bai
- Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Suite 19, Level 7 Prince of Wales Private Hospital, Randwick, Sydney, NSW 2031, Australia
| | - Robert G Briggs
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Onur Tanglay
- Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Suite 19, Level 7 Prince of Wales Private Hospital, Randwick, Sydney, NSW 2031, Australia
| | - R Dineth Fonseka
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Jorge Hormovas
- Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Suite 19, Level 7 Prince of Wales Private Hospital, Randwick, Sydney, NSW 2031, Australia
| | - Vukshitha Dhanaraj
- Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Suite 19, Level 7 Prince of Wales Private Hospital, Randwick, Sydney, NSW 2031, Australia
| | - Andrew K Conner
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Christen M O'Neal
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Michael E Sughrue
- Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Suite 19, Level 7 Prince of Wales Private Hospital, Randwick, Sydney, NSW 2031, Australia.
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Joo SW, Yoon W, Jo YT, Kim H, Kim Y, Lee J. Aberrant Executive Control and Auditory Networks in Recent-Onset Schizophrenia. Neuropsychiatr Dis Treat 2020; 16:1561-1570. [PMID: 32606708 PMCID: PMC7319504 DOI: 10.2147/ndt.s254208] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Accepted: 05/27/2020] [Indexed: 12/21/2022] Open
Abstract
PURPOSE Despite a large number of resting-state functional MRI (rsfMRI) studies in schizophrenia, current evidence on the abnormalities of functional connectivity (FC) of resting-state networks shows high variability, and the findings on recent-onset schizophrenia are insufficient compared to those on chronic schizophrenia. PATIENTS AND METHODS We performed a rsfMRI in 46 patients with recent-onset schizophrenia and 22 healthy controls. Group independent component brainmap and dual regression were performed for voxel-wise comparisons between the groups. Correlation of the symptom severity, cognitive function, duration of illness, and a total antipsychotics dose with FC was evaluated with Spearman's rho correlation. RESULTS The patient group had areas with a significantly decreased FC compared to that of the control group in which it existed in the left supplementary motor cortex and supramarginal gyrus (the executive control network) and the right postcentral gyrus (the auditory network). The patient group had a significant correlation of the total antipsychotics dose with the FC of the cluster in the left supplementary motor cortex in the executive control network. CONCLUSION Patients with recent-onset schizophrenia have decreased FC of the executive control and auditory networks compared to healthy controls.
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Affiliation(s)
- Sung Woo Joo
- Medical Corps, Republic of Korea Navy 1st Fleet, Donghae, Republic of Korea
| | - Woon Yoon
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Young Tak Jo
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Harin Kim
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Yangsik Kim
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Jungsun Lee
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
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Aubinet C, Larroque SK, Heine L, Martial C, Majerus S, Laureys S, Di Perri C. Clinical subcategorization of minimally conscious state according to resting functional connectivity. Hum Brain Mapp 2018; 39:4519-4532. [PMID: 29972267 PMCID: PMC6866360 DOI: 10.1002/hbm.24303] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2016] [Revised: 05/15/2018] [Accepted: 06/20/2018] [Indexed: 11/11/2022] Open
Abstract
Patients in minimally conscious state (MCS) have been subcategorized in MCS plus and MCS minus, based on command-following, intelligible verbalization or intentional communication. We here aimed to better characterize the functional neuroanatomy of MCS based on this clinical subcategorization by means of resting state functional magnetic resonance imaging (fMRI). Resting state fMRI was acquired in 292 MCS patients and a seed-based analysis was conducted on a convenience sample of 10 MCS plus patients, 9 MCS minus patients and 35 healthy subjects. We investigated the left and right frontoparietal networks (FPN), auditory network, default mode network (DMN), thalamocortical connectivity and DMN between-network anticorrelations. We also employed an analysis based on regions of interest (ROI) to examine interhemispheric connectivity and investigated intergroup differences in gray/white matter volume by means of voxel-based morphometry. We found a higher connectivity in MCS plus as compared to MCS minus in the left FPN, specifically between the left dorso-lateral prefrontal cortex and left temporo-occipital fusiform cortex. No differences between patient groups were observed in the auditory network, right FPN, DMN, thalamocortical and interhemispheric connectivity, between-network anticorrelations and gray/white matter volume. Our preliminary group-level results suggest that the clinical subcategorization of MCS may involve functional connectivity differences in a language-related executive control network. MCS plus and minus patients are seemingly not differentiated by networks associated to auditory processing, perception of surroundings and internal awareness/self-mentation, nor by interhemispheric integration and structural brain damage.
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Affiliation(s)
- Charlène Aubinet
- Coma Science Group, GIGA Research Center and Neurology DepartmentUniversity and University Hospital of LiègeLiègeBelgium
| | - Stephen Karl Larroque
- Coma Science Group, GIGA Research Center and Neurology DepartmentUniversity and University Hospital of LiègeLiègeBelgium
| | - Lizette Heine
- Auditory Cognition and Psychoacoustics Team – Lyon Neuroscience Research Center (UCBL, CNRS UMR5292, Inserm U1028)LyonFrance
| | - Charlotte Martial
- Coma Science Group, GIGA Research Center and Neurology DepartmentUniversity and University Hospital of LiègeLiègeBelgium
| | - Steve Majerus
- Psychology and Neuroscience of Cognition Research UnitUniversity of LiegeBelgium
| | - Steven Laureys
- Coma Science Group, GIGA Research Center and Neurology DepartmentUniversity and University Hospital of LiègeLiègeBelgium
| | - Carol Di Perri
- Coma Science Group, GIGA Research Center and Neurology DepartmentUniversity and University Hospital of LiègeLiègeBelgium
- Centre for Clinical Brain Sciences UK Dementia Research Institute, Centre for Dementia PreventionUniversity of EdinburghEdinburghUnited Kingdom
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Zhang Y, Mao Z, Feng S, Liu X, Zhang J, Yu X. Monaural-driven Functional Changes within and Beyond the Auditory Cortical Network: Evidence from Long-term Unilateral Hearing Impairment. Neuroscience 2017; 371:296-308. [PMID: 29253520 DOI: 10.1016/j.neuroscience.2017.12.015] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2017] [Revised: 12/06/2017] [Accepted: 12/11/2017] [Indexed: 01/14/2023]
Abstract
Long-term unilateral hearing impairment (UHI) results in changes in hearing and psychoacoustic performance that are likely related to cortical reorganization. However, the underlying functional changes in the brain are not yet fully understood. Here, we studied alterations in inter- and intra-hemispheric resting-state functional connectivity (RSFC) in 38 patients with long-term UHI caused by acoustic neuroma. Resting-state fMRI data from 17 patients with left-sided hearing impairment (LHI), 21 patients with right-sided hearing impairment (RHI) and 21 healthy controls (HCs) were collected. We applied voxel-mirrored homotopic connectivity analysis to investigate the interhemispheric interactions. To study alterations in between-network interactions, we used four cytoarchitectonically identified subregions in the auditory cortex as "seeds" for whole-brain RSFC analysis. We found that long-term imbalanced auditory input to the brain resulted in (1) enhanced interhemispheric RSFC between the contralateral and ipsilateral auditory networks and (2) differential patterns of altered RSFCs with other sensory (visual and somatomotor) and higher-order (default mode and ventral attention) networks among the four auditory cortical subregions. These altered RSFCs within and beyond the auditory network were dependent on the side of hearing impairment. The results were reproducible when the analysis was restricted to patients with severe-to-profound UHI and patients with hearing-impairment durations greater than 24 months. Together, we demonstrated that long-term UHI drove cortical functional changes within and beyond the auditory network, providing empirical evidence for the association between brain changes and hearing disorders.
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Affiliation(s)
- Yanyang Zhang
- Department of Neurosurgery, PLA General Hospital, Beijing 100853, China
| | - Zhiqi Mao
- Department of Neurosurgery, PLA General Hospital, Beijing 100853, China
| | - Shiyu Feng
- Department of Neurosurgery, PLA General Hospital, Beijing 100853, China
| | - Xinyun Liu
- Department of Radiology, PLA General Hospital, Beijing 100853, China
| | - Jun Zhang
- Department of Neurosurgery, PLA General Hospital, Beijing 100853, China
| | - Xinguang Yu
- Department of Neurosurgery, PLA General Hospital, Beijing 100853, China.
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Heine L, Castro M, Martial C, Tillmann B, Laureys S, Perrin F. Exploration of Functional Connectivity During Preferred Music Stimulation in Patients with Disorders of Consciousness. Front Psychol 2015; 6:1704. [PMID: 26617542 PMCID: PMC4637404 DOI: 10.3389/fpsyg.2015.01704] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2015] [Accepted: 10/22/2015] [Indexed: 01/26/2023] Open
Abstract
Preferred music is a highly emotional and salient stimulus, which has previously been shown to increase the probability of auditory cognitive event-related responses in patients with disorders of consciousness (DOC). To further investigate whether and how music modifies the functional connectivity of the brain in DOC, five patients were assessed with both a classical functional connectivity scan (control condition), and a scan while they were exposed to their preferred music (music condition). Seed-based functional connectivity (left or right primary auditory cortex), and mean network connectivity of three networks linked to conscious sound perception were assessed. The auditory network showed stronger functional connectivity with the left precentral gyrus and the left dorsolateral prefrontal cortex during music as compared to the control condition. Furthermore, functional connectivity of the external network was enhanced during the music condition in the temporo-parietal junction. Although caution should be taken due to small sample size, these results suggest that preferred music exposure might have effects on patients auditory network (implied in rhythm and music perception) and on cerebral regions linked to autobiographical memory.
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Affiliation(s)
- Lizette Heine
- Coma Science Group, GIGA & Cyclotron Research Center and Neurology Department, University and University Hospital of Liège Liège, Belgium ; Auditory Cognition and Psychoacoustics Team - Lyon Neuroscience Research Center (UCBL, CNRS, UMR 5292, INSERM U1028) Lyon, France
| | - Maïté Castro
- Auditory Cognition and Psychoacoustics Team - Lyon Neuroscience Research Center (UCBL, CNRS, UMR 5292, INSERM U1028) Lyon, France
| | - Charlotte Martial
- Coma Science Group, GIGA & Cyclotron Research Center and Neurology Department, University and University Hospital of Liège Liège, Belgium
| | - Barbara Tillmann
- Auditory Cognition and Psychoacoustics Team - Lyon Neuroscience Research Center (UCBL, CNRS, UMR 5292, INSERM U1028) Lyon, France
| | - Steven Laureys
- Coma Science Group, GIGA & Cyclotron Research Center and Neurology Department, University and University Hospital of Liège Liège, Belgium
| | - Fabien Perrin
- Auditory Cognition and Psychoacoustics Team - Lyon Neuroscience Research Center (UCBL, CNRS, UMR 5292, INSERM U1028) Lyon, France
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Waters F, Allen P, Aleman A, Fernyhough C, Woodward TS, Badcock JC, Barkus E, Johns L, Varese F, Menon M, Vercammen A, Larøi F. Auditory hallucinations in schizophrenia and nonschizophrenia populations: a review and integrated model of cognitive mechanisms. Schizophr Bull 2012; 38:683-93. [PMID: 22446568 PMCID: PMC3406530 DOI: 10.1093/schbul/sbs045] [Citation(s) in RCA: 270] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
While the majority of cognitive studies on auditory hallucinations (AHs) have been conducted in schizophrenia (SZ), an increasing number of researchers are turning their attention to different clinical and nonclinical populations, often using SZ findings as a model for research. Recent advances derived from SZ studies can therefore be utilized to make substantial progress on AH research in other groups. The objectives of this article were to (1) present an up-to-date review regarding the cognitive mechanisms of AHs in SZ, (2) review findings from cognitive research conducted in other clinical and nonclinical groups, and (3) integrate these recent findings into a cohesive framework. First, SZ studies show that the cognitive underpinnings of AHs include self-source-monitoring deficits and executive and inhibitory control dysfunctions as well as distortions in top-down mechanisms, perceptual and linguistic processes, and emotional factors. Second, consistent with SZ studies, findings in other population groups point to the role of top-down processing, abnormalities in executive inhibition, and negative emotions. Finally, we put forward an integrated model of AHs that incorporates the above findings. We suggest that AHs arise from an interaction between abnormal neural activation patterns that produce salient auditory signals and top-down mechanisms that include signal detection errors, executive and inhibition deficits, a tapestry of expectations and memories, and state characteristics that influence how these experiences are interpreted. Emotional factors play a particular prominent role at all levels of this hierarchy. Our model is distinctively powerful in explaining a range of phenomenological characteristics of AH across a spectrum of disorders.
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Affiliation(s)
- Flavie Waters
- Centre for Clinical Research in Neuropsychiatry, Graylands Hospital, North Metro Area Mental Health Perth, Australia.
| | - Paul Allen
- Department of Psychosis Studies, Institute of Psychiatry, King's College, London, UK
| | - André Aleman
- University Medical Center Groningen, Groningen, The Netherlands,Department of Psychology, University of Groningen, Groningen, The Netherlands
| | | | - Todd S. Woodward
- Department of Psychiatry, University of British Columbia, Vancouver, Canada,Department of Research, BC Mental Health and Addiction Research Institute, Vancouver, Canada
| | - Johanna C. Badcock
- Centre for Clinical Research in Neuropsychiatry, Graylands Hospital, Perth, Australia,School of Psychiatry and Clinical Neurosciences, The University of Western Australia, Perth, Australia
| | - Emma Barkus
- School of psychology, University of Wollongong, New South Wales, Australia
| | - Louise Johns
- Department of Psychology, Institute of Psychiatry, King's College, London UK
| | - Filippo Varese
- School of Psychology, Bangor University, North Wales, UK
| | - Mahesh Menon
- Schizophrenia Program and PET Centre, Centre for Addiction and Mental Health, Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Ans Vercammen
- Schizophrenia Program and PET Centre, Centre for Addiction and Mental Health, Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Frank Larøi
- Department of Psychology, University of Liège, Liège, Belgium
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