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Mo F, Zhao H, Li Y, Cai H, Song Y, Wang R, Yu Y, Zhu J. Network Localization of State and Trait of Auditory Verbal Hallucinations in Schizophrenia. Schizophr Bull 2024:sbae020. [PMID: 38401526 DOI: 10.1093/schbul/sbae020] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/26/2024]
Abstract
BACKGROUND AND HYPOTHESIS Neuroimaging studies investigating the neural substrates of auditory verbal hallucinations (AVH) in schizophrenia have yielded mixed results, which may be reconciled by network localization. We sought to examine whether AVH-state and AVH-trait brain alterations in schizophrenia localize to common or distinct networks. STUDY DESIGN We initially identified AVH-state and AVH-trait brain alterations in schizophrenia reported in 48 previous studies. By integrating these affected brain locations with large-scale discovery and validation resting-state functional magnetic resonance imaging datasets, we then leveraged novel functional connectivity network mapping to construct AVH-state and AVH-trait dysfunctional networks. STUDY RESULTS The neuroanatomically heterogeneous AVH-state and AVH-trait brain alterations in schizophrenia localized to distinct and specific networks. The AVH-state dysfunctional network comprised a broadly distributed set of brain regions mainly involving the auditory, salience, basal ganglia, language, and sensorimotor networks. Contrastingly, the AVH-trait dysfunctional network manifested as a pattern of circumscribed brain regions principally implicating the caudate and inferior frontal gyrus. Additionally, the AVH-state dysfunctional network aligned with the neuromodulation targets for effective treatment of AVH, indicating possible clinical relevance. CONCLUSIONS Apart from unifying the seemingly irreproducible neuroimaging results across prior AVH studies, our findings suggest different neural mechanisms underlying AVH state and trait in schizophrenia from a network perspective and more broadly may inform future neuromodulation treatment for AVH.
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Affiliation(s)
- Fan Mo
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- Research Center of Clinical Medical Imaging, Anhui Province, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei, China
| | - Han Zhao
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- Research Center of Clinical Medical Imaging, Anhui Province, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei, China
| | - Yifan Li
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- Research Center of Clinical Medical Imaging, Anhui Province, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei, China
| | - Huanhuan Cai
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- Research Center of Clinical Medical Imaging, Anhui Province, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei, China
| | - Yang Song
- Department of Pain, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Rui Wang
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- Research Center of Clinical Medical Imaging, Anhui Province, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei, China
| | - Yongqiang Yu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- Research Center of Clinical Medical Imaging, Anhui Province, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei, China
| | - Jiajia Zhu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- Research Center of Clinical Medical Imaging, Anhui Province, Hefei, China
- Anhui Provincial Institute of Translational Medicine, Hefei, China
- Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei, China
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Ghieh R, Krężołek M, Gawęda Ł. Self-monitoring deficits in schizophrenia: A cross-sectional study of the underlying cognitive mechanisms. Schizophr Res 2024; 264:378-385. [PMID: 38237359 DOI: 10.1016/j.schres.2024.01.015] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 11/09/2023] [Accepted: 01/03/2024] [Indexed: 03/01/2024]
Abstract
BACKGROUND People diagnosed with schizophrenia share underlying cognitive deficits in self-monitoring (i.e., identifying the source of self-generated behaviours). This study aimed to investigate whether self-monitoring deficits in schizophrenia are due to a cognitive response bias towards external perceptions or a reduced discriminability of imagined and performed actions. We hypothesised that self-monitoring deficits in individuals with schizophrenia are primarily driven by bottom-up processes, leading to a compromised ability to discriminate between internally generated behaviours as opposed to a cognitive response bias towards performed actions. METHODS We recruited 333 participants, including 192 with schizophrenia and 141 healthy controls. As part of the Action-Memory Task, participants were instructed to either imagine or physically perform 36 different actions, half of which were presented as pictograms and half as text. In the test phase, participants indicated whether they had performed or imagined each action, whether it appeared in text or pictogram, or whether it was a new action. Using Signal Detection Theory, the study primarily analysed group differences in discriminability and response-bias. RESULTS Participants with schizophrenia made significantly more self-monitoring errors than healthy controls. This was primarily due to significantly lower sensitivity, but not a response bias. Whereas recognition memory errors were driven by both lower sensitivity and a response bias. CONCLUSIONS The findings suggest that self-monitoring in schizophrenia was specifically impaired by a compromised discriminability of imagined and performed events and an inability to appropriately compensate by adjusting decision-thresholds. Implications on the role of bottom-up and top-down cognitive mechanisms are discussed.
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Affiliation(s)
- Rachid Ghieh
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Martyna Krężołek
- II Department of Psychiatry, Medical University of Warsaw, Poland
| | - Łukasz Gawęda
- Experimental Psychopathology Lab, Institute of Psychology, Polish Academy of Sciences, Warsaw, Poland.
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Hu X, Wang S, Zhou H, Li N, Zhong C, Luo W, Liu S, Fu F, Meng Y, Ding Z, Cheng B. Altered Functional Connectivity Strength in Distinct Brain Networks of Children With Early-Onset Schizophrenia. J Magn Reson Imaging 2023; 58:1617-1623. [PMID: 36932678 DOI: 10.1002/jmri.28682] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 03/05/2023] [Accepted: 03/06/2023] [Indexed: 03/19/2023] Open
Abstract
BACKGROUND Schizophrenia is regarded as a brain network or connectome disorder that is associated with neurodevelopment. Children with early-onset schizophrenia (EOS) provide an opportunity to evaluate the neuropathology of schizophrenia at a very early stage without potential confounding factors. But dysfunction in brain networks of schizophrenia is inconsistent. PURPOSE To identify abnormal functional connectivity (FC) in EOS patients and relationships with clinical symptoms, we aimed to reveal neuroimaging phenotypes of EOS. STUDY TYPE Prospective, cross-sectional. POPULATION Twenty-six female/22 male patients (age:14.3 ± 3.45 years) with first-episode EOS, 27 female/22 male age- and gender-matched healthy controls (HC) (age:14.1 ± 4.32). FIELD STRENGTH/SEQUENCE 3-T, resting-state (rs) gradient-echo echo-planar imaging and three-dimensional magnetization-prepared rapid gradient-echo imaging. ASSESSMENT Intelligence quotient (IQ) was measured by the Wechsler Intelligence Scale-Fourth edition for Children (WISC-IV). The clinical symptoms were evaluated by the Positive and Negative Syndrome Scale (PANSS). FC strength (FCS) from rs functional MRI (rsfMRI) was used to investigate functional integrity of global brain regions. In addition, associations between regionally altered FCS and clinical symptoms in EOS patients were examined. STATISTICAL TESTS Two-sample t-test controlling for sample size, diagnostic method, brain volume algorithm, and age of the subjects, Bonferroni correction, Pearson's correlation analysis. A P-value <0.05 with a minimum cluster size of 50 voxels was considered statistically significant. RESULTS Compared with HC, EOS patients had significantly lower total IQ scores (IQ:91.5 ± 16.1), increased FCS in the bilateral precuneus, left dorsolateral prefrontal cortex, left thalamus, and left parahippocampus (paraHIP), and decreased FCS in the right cerebellum posterior lobe and right superior temporal gyrus. The PANSS total score of EOS patients (PANSS total score:74.30 ± 7.23) was found to be positively correlated to FCS in the left paraHIP (r = 0.45). DATA CONCLUSION Our study revealed that disrupted FC of brain hubs illustrate multiple abnormalities in brain networks in EOS patients. EVIDENCE LEVEL 1 TECHNICAL EFFICACY STAGE: 2.
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Affiliation(s)
- Xiao Hu
- Department of Rehabilitation Medicine, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Song Wang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Hui Zhou
- Department of Rehabilitation Medicine, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Na Li
- Department of Rehabilitation Medicine, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Can Zhong
- Department of Rehabilitation Medicine, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Weiling Luo
- Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Sijia Liu
- School of Sociality and Psychology, Southwest Minzu University, Chengdu, China
| | - Fanghui Fu
- School of Sociality and Psychology, Southwest Minzu University, Chengdu, China
| | - Yajing Meng
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Zhiyong Ding
- Department of Medical Imaging, Qujing Maternal and Child Health Care Hospital, Qujing, China
| | - Bochao Cheng
- Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, China
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Conring F, Gangl N, Derome M, Wiest R, Federspiel A, Walther S, Stegmayer K. Associations of resting-state perfusion and auditory verbal hallucinations with and without emotional content in schizophrenia. Neuroimage Clin 2023; 40:103527. [PMID: 37871539 PMCID: PMC10598456 DOI: 10.1016/j.nicl.2023.103527] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 09/21/2023] [Accepted: 10/09/2023] [Indexed: 10/25/2023]
Abstract
Auditory Verbal Hallucinations (AVH) are highly prevalent in patients with schizophrenia. AVH with high emotional content lead to particularly poor functional outcome. Increasing evidence shows that AVH are associated with alterations in structure and function in language and memory related brain regions. However, neural correlates of AVH with emotional content remain unclear. In our study (n = 91), we related resting-state cerebral perfusion to AVH and emotional content, comparing four groups: patients with AVH with emotional content (n = 13), without emotional content (n = 14), without hallucinations (n = 20) and healthy controls (n = 44). Patients with AVH and emotional content presented with increased perfusion within the amygdala and the ventromedial and dorsomedial prefrontal cortex (vmPFC/ dmPFC) compared to patients with AVH without emotional content. In addition, patients with any AVH showed hyperperfusion within the anterior cingulate gyrus, the vmPFC/dmPFC, the right hippocampus, and the left pre- and postcentral gyrus compared to patients without AVH. Our results indicate metabolic alterations in brain areas critical for the processing of emotions as key for the pathophysiology of AVH with emotional content. Particularly, hyperperfusion of the amygdala may reflect and even trigger emotional content of AVH, while hyperperfusion of the vmPFC/dmPFC cluster may indicate insufficient top-down amygdala regulation in patients with schizophrenia.
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Affiliation(s)
- Frauke Conring
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland; Graduate School for Health Sciences, University of Bern, Bern, Switzerland.
| | - Nicole Gangl
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland; Graduate School for Health Sciences, University of Bern, Bern, Switzerland
| | - Melodie Derome
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Roland Wiest
- Support Center of Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern, Switzerland
| | - Andrea Federspiel
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Sebastian Walther
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Katharina Stegmayer
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
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Zandbagleh A, Mirzakuchaki S, Daliri MR, Sumich A, Anderson JD, Sanei S. Graph-based analysis of EEG for schizotypy classification applying flicker Ganzfeld stimulation. Schizophrenia (Heidelb) 2023; 9:64. [PMID: 37735164 PMCID: PMC10514040 DOI: 10.1038/s41537-023-00395-4] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 09/11/2023] [Indexed: 09/23/2023]
Abstract
Ganzfeld conditions induce alterations in brain function and pseudo-hallucinatory experiences, particularly in people with high positive schizotypy. The current study uses graph-based parameters to investigate and classify brain networks under Ganzfeld conditions as a function of positive schizotypy. Participants from the general population (14 high schizotypy (HS), 29 low schizotypy (LS)) had an electroencephalography assessment during Ganzfeld conditions, with varying visual activation (8 frequencies of random light flicker) and soundscape-induced mood (neutral, serenity, and anxiety). Weighted functional networks were computed in six frequency sub-bands (delta, theta, alpha-low, alpha-high, beta, and gamma) as a function of light-flicker frequency and mood. The brain network was analyzed using graph theory parameters, including clustering coefficient (CC), strength, and global efficiency (GE). It was found that the LS groups had higher CC and strength than the HS groups, especially in bilateral temporal and frontotemporal brain regions. Moreover, some decreases in CC and strength measures were found in LS groups among occipital and parieto-occipital brain regions. LS groups also had significantly higher GE in all Ganzfeld conditions compared to the HS groups. The random under-sampling boosting (RUSBoost) algorithm achieved the best classification performance with an accuracy of 95.34%, specificity of 96.55%, and sensitivity of 92.85% during an anxiety-induction Ganzfeld condition. This is the first exploration of the relationship between brain functional state changes under Ganzfeld conditions in individuals who vary in positive schizotypy. The accuracy of graph-based parameters in classifying brain states as a function of schizotypy is shown, particularly for brain activity during anxiety induction, and should be investigated in psychosis.
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Affiliation(s)
- Ahmad Zandbagleh
- School of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran
| | - Sattar Mirzakuchaki
- School of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran.
| | - Mohammad Reza Daliri
- School of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran
| | - Alexander Sumich
- Division of Psychology, Nottingham Trent University, Main Campus, Nottingham, UK
| | - John D Anderson
- Division of Psychology, Nottingham Trent University, Main Campus, Nottingham, UK
| | - Saeid Sanei
- School of Science and Technology, Nottingham Trent University, Clifton Lane, Nottingham, UK
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Zarghami TS, Zeidman P, Razi A, Bahrami F, Hossein‐Zadeh G. Dysconnection and cognition in schizophrenia: A spectral dynamic causal modeling study. Hum Brain Mapp 2023; 44:2873-2896. [PMID: 36852654 PMCID: PMC10089110 DOI: 10.1002/hbm.26251] [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: 10/12/2022] [Revised: 01/28/2023] [Accepted: 02/13/2023] [Indexed: 03/01/2023] Open
Abstract
Schizophrenia (SZ) is a severe mental disorder characterized by failure of functional integration (aka dysconnection) across the brain. Recent functional connectivity (FC) studies have adopted functional parcellations to define subnetworks of large-scale networks, and to characterize the (dys)connection between them, in normal and clinical populations. While FC examines statistical dependencies between observations, model-based effective connectivity (EC) can disclose the causal influences that underwrite the observed dependencies. In this study, we investigated resting state EC within seven large-scale networks, in 66 SZ and 74 healthy subjects from a public dataset. The results showed that a remarkable 33% of the effective connections (among subnetworks) of the cognitive control network had been pathologically modulated in SZ. Further dysconnection was identified within the visual, default mode and sensorimotor networks of SZ subjects, with 24%, 20%, and 11% aberrant couplings. Overall, the proportion of discriminative connections was remarkably larger in EC (24%) than FC (1%) analysis. Subsequently, to study the neural correlates of impaired cognition in SZ, we conducted a canonical correlation analysis between the EC parameters and the cognitive scores of the patients. As such, the self-inhibitions of supplementary motor area and paracentral lobule (in the sensorimotor network) and the excitatory connection from parahippocampal gyrus to inferior temporal gyrus (in the cognitive control network) were significantly correlated with the social cognition, reasoning/problem solving and working memory capabilities of the patients. Future research can investigate the potential of whole-brain EC as a biomarker for diagnosis of brain disorders and for neuroimaging-based cognitive assessment.
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Affiliation(s)
- Tahereh S. Zarghami
- Bio‐Electric Department, School of Electrical and Computer Engineering, College of EngineeringUniversity of TeranTehranIran
- Human Motor Control and Computational Neuroscience Laboratory, School of Electrical and Computer Engineering, College of EngineeringUniversity of TehranTehranIran
| | - Peter Zeidman
- The Wellcome Centre for Human NeuroimagingUniversity College LondonLondonUK
| | - Adeel Razi
- The Wellcome Centre for Human NeuroimagingUniversity College LondonLondonUK
- Turner Institute for Brain and Mental HealthMonash UniversityClaytonVictoriaAustralia
- Monash Biomedical ImagingMonash UniversityClaytonVictoriaAustralia
- CIFAR Azrieli Global Scholars Program, CIFARTorontoCanada
| | - Fariba Bahrami
- Bio‐Electric Department, School of Electrical and Computer Engineering, College of EngineeringUniversity of TeranTehranIran
- Human Motor Control and Computational Neuroscience Laboratory, School of Electrical and Computer Engineering, College of EngineeringUniversity of TehranTehranIran
| | - Gholam‐Ali Hossein‐Zadeh
- Bio‐Electric Department, School of Electrical and Computer Engineering, College of EngineeringUniversity of TeranTehranIran
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Soler-Vidal J, Fuentes-Claramonte P, Salgado-Pineda P, Ramiro N, García-León MÁ, Torres ML, Arévalo A, Guerrero-Pedraza A, Munuera J, Sarró S, Salvador R, Hinzen W, McKenna P, Pomarol-Clotet E. Brain correlates of speech perception in schizophrenia patients with and without auditory hallucinations. PLoS One 2022; 17:e0276975. [PMID: 36525414 PMCID: PMC9757556 DOI: 10.1371/journal.pone.0276975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 10/18/2022] [Indexed: 12/23/2022] Open
Abstract
The experience of auditory verbal hallucinations (AVH, "hearing voices") in schizophrenia has been found to be associated with reduced auditory cortex activation during perception of real auditory stimuli like tones and speech. We re-examined this finding using 46 patients with schizophrenia (23 with frequent AVH and 23 hallucination-free), who underwent fMRI scanning while they heard words, sentences and reversed speech. Twenty-five matched healthy controls were also examined. Perception of words, sentences and reversed speech all elicited activation of the bilateral superior temporal cortex, the inferior and lateral prefrontal cortex, the inferior parietal cortex and the supplementary motor area in the patients and the healthy controls. During the sentence and reversed speech conditions, the schizophrenia patients as a group showed reduced activation in the left primary auditory cortex (Heschl's gyrus) relative to the healthy controls. No differences were found between the patients with and without hallucinations in any condition. This study therefore fails to support previous findings that experience of AVH attenuates speech-perception-related brain activations in the auditory cortex. At the same time, it suggests that schizophrenia patients, regardless of presence of AVH, show reduced activation in the primary auditory cortex during speech perception, a finding which could reflect an early information processing deficit in the disorder.
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Affiliation(s)
- Joan Soler-Vidal
- FIDMAG Hermanas Hospitalarias Research Foundation, Sant Boi de Llobregat, Spain
- CIBERSAM (G15), Barcelona, Spain
- Universitat de Barcelona, Barcelona, Spain
- Benito Menni Complex Asistencial en Salut Mental, Sant Boi de Llobregat, Spain
| | - Paola Fuentes-Claramonte
- FIDMAG Hermanas Hospitalarias Research Foundation, Sant Boi de Llobregat, Spain
- CIBERSAM (G15), Barcelona, Spain
| | - Pilar Salgado-Pineda
- FIDMAG Hermanas Hospitalarias Research Foundation, Sant Boi de Llobregat, Spain
- CIBERSAM (G15), Barcelona, Spain
| | | | - María Ángeles García-León
- FIDMAG Hermanas Hospitalarias Research Foundation, Sant Boi de Llobregat, Spain
- CIBERSAM (G15), Barcelona, Spain
| | | | | | | | - Josep Munuera
- Diagnostic Imaging and Image Guided Therapy, Institut de Recerca Sant Joan de Déu, Santa Rosa 39–57, Esplugues de Llobregat, Spain
- Diagnostic Imaging Department, Hospital Sant Joan de Déu, Passeig Sant Joan de Déu 2, Barcelona, Spain
- Hospital de Sant Joan de Déu, Barcelona, Spain
| | - Salvador Sarró
- FIDMAG Hermanas Hospitalarias Research Foundation, Sant Boi de Llobregat, Spain
- CIBERSAM (G15), Barcelona, Spain
| | - Raymond Salvador
- FIDMAG Hermanas Hospitalarias Research Foundation, Sant Boi de Llobregat, Spain
- CIBERSAM (G15), Barcelona, Spain
| | - Wolfram Hinzen
- Universitat Pompeu Fabra, Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Peter McKenna
- FIDMAG Hermanas Hospitalarias Research Foundation, Sant Boi de Llobregat, Spain
- CIBERSAM (G15), Barcelona, Spain
- * E-mail:
| | - Edith Pomarol-Clotet
- FIDMAG Hermanas Hospitalarias Research Foundation, Sant Boi de Llobregat, Spain
- CIBERSAM (G15), Barcelona, Spain
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Abstract
The hippocampus has a well-established role in spatial and episodic memory but a broader function has been proposed including aspects of perception and relational processing. Neural bases of sound analysis have been described in the pathway to auditory cortex, but wider networks supporting auditory cognition are still being established. We review what is known about the role of the hippocampus in processing auditory information, and how the hippocampus itself is shaped by sound. In examining imaging, recording, and lesion studies in species from rodents to humans, we uncover a hierarchy of hippocampal responses to sound including during passive exposure, active listening, and the learning of associations between sounds and other stimuli. We describe how the hippocampus' connectivity and computational architecture allow it to track and manipulate auditory information - whether in the form of speech, music, or environmental, emotional, or phantom sounds. Functional and structural correlates of auditory experience are also identified. The extent of auditory-hippocampal interactions is consistent with the view that the hippocampus makes broad contributions to perception and cognition, beyond spatial and episodic memory. More deeply understanding these interactions may unlock applications including entraining hippocampal rhythms to support cognition, and intervening in links between hearing loss and dementia.
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Affiliation(s)
| | - Meher Lad
- Translational and Clinical Research Institute, Newcastle University Medical School, Newcastle upon Tyne, UK
| | - William Sedley
- Translational and Clinical Research Institute, Newcastle University Medical School, Newcastle upon Tyne, UK
| | - Timothy D Griffiths
- Biosciences Institute, Newcastle University Medical School, Newcastle upon Tyne, UK; Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, UK; Human Brain Research Laboratory, Department of Neurosurgery, University of Iowa Hospitals and Clinics, Iowa City, USA
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9
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Ji R, Zhou M, Ou N, Chen H, Li Y, Zhuo L, Huang X, Huang G. Large-scale networks underlie cognitive insight differs between untreated adolescents ongoing their first schizophrenic episode and their reference non-schizophrenic mates. Heliyon 2022; 8:e10818. [PMID: 36217472 PMCID: PMC9547213 DOI: 10.1016/j.heliyon.2022.e10818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 06/03/2022] [Accepted: 09/22/2022] [Indexed: 10/25/2022] Open
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Paul AK, Bose A, Kalmady SV, Shivakumar V, Sreeraj VS, Parlikar R, Narayanaswamy JC, Dursun SM, Greenshaw AJ, Greiner R, Venkatasubramanian G. Superior temporal gyrus functional connectivity predicts transcranial direct current stimulation response in Schizophrenia: A machine learning study. Front Psychiatry 2022; 13:923938. [PMID: 35990061 PMCID: PMC9388779 DOI: 10.3389/fpsyt.2022.923938] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Accepted: 07/19/2022] [Indexed: 11/26/2022] Open
Abstract
Transcranial direct current stimulation (tDCS) is a promising adjuvant treatment for persistent auditory verbal hallucinations (AVH) in Schizophrenia (SZ). Nonetheless, there is considerable inter-patient variability in the treatment response of AVH to tDCS in SZ. Machine-learned models have the potential to predict clinical response to tDCS in SZ. This study aims to examine the feasibility of identifying SZ patients with persistent AVH (SZ-AVH) who will respond to tDCS based on resting-state functional connectivity (rs-FC). Thirty-four SZ-AVH patients underwent resting-state functional MRI at baseline followed by add-on, twice-daily, 20-min sessions with tDCS (conventional/high-definition) for 5 days. A machine learning model was developed to identify tDCS treatment responders based on the rs-FC pattern, using the left superior temporal gyrus (LSTG) as the seed region. Functional connectivity between LSTG and brain regions involved in auditory and sensorimotor processing emerged as the important predictors of the tDCS treatment response. L1-regularized logistic regression model had an overall accuracy of 72.5% in classifying responders vs. non-responders. This model outperformed the state-of-the-art convolutional neural networks (CNN) model-both without (59.41%) and with pre-training (68.82%). It also outperformed the L1-logistic regression model trained with baseline demographic features and clinical scores of SZ patients. This study reports the first evidence that rs-fMRI-derived brain connectivity pattern can predict the clinical response of persistent AVH to add-on tDCS in SZ patients with 72.5% accuracy.
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Affiliation(s)
- Animesh Kumar Paul
- Alberta Machine Intelligence Institute, University of Alberta, Edmonton, AB, Canada
- Department of Computing Science, University of Alberta, Edmonton, AB, Canada
| | - Anushree Bose
- Schizophrenia Clinic, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, India
- Translational Psychiatry Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neuro Sciences, Bengaluru, India
| | - Sunil Vasu Kalmady
- Alberta Machine Intelligence Institute, University of Alberta, Edmonton, AB, Canada
- Canadian VIGOUR Centre, University of Alberta, Edmonton, AB, Canada
| | - Venkataram Shivakumar
- Schizophrenia Clinic, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, India
- Translational Psychiatry Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neuro Sciences, Bengaluru, India
| | - Vanteemar S Sreeraj
- Schizophrenia Clinic, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, India
- Translational Psychiatry Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neuro Sciences, Bengaluru, India
| | - Rujuta Parlikar
- Schizophrenia Clinic, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, India
- Translational Psychiatry Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neuro Sciences, Bengaluru, India
| | - Janardhanan C Narayanaswamy
- Schizophrenia Clinic, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, India
- Translational Psychiatry Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neuro Sciences, Bengaluru, India
| | - Serdar M Dursun
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada
| | | | - Russell Greiner
- Alberta Machine Intelligence Institute, University of Alberta, Edmonton, AB, Canada
- Department of Computing Science, University of Alberta, Edmonton, AB, Canada
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada
| | - Ganesan Venkatasubramanian
- Schizophrenia Clinic, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, India
- Translational Psychiatry Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neuro Sciences, Bengaluru, India
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11
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Zhang J, Zhang T, Chen YC, Chen H, Feng Y, Tang WW, Zheng JX. Decreased brain functional connectivity associated with cognitive dysfunction in women with second pregnancy. Front Aging Neurosci 2022; 14:963943. [PMID: 36072487 PMCID: PMC9444322 DOI: 10.3389/fnagi.2022.963943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 07/06/2022] [Indexed: 11/30/2022] Open
Abstract
Purpose Previous research has found that women with second pregnancy may have an increased risk of cognitive dysfunction. This study aims to investigate the intrinsic functional connectivity (FC) pattern of the DMN anchored on posterior cingulate cortex (PCC) in postpartum women, especially the parous women using resting-state functional magnetic resonance imaging (rs-fMRI). Methods Twenty parous women, 26 primiparous women, and 30 nulliparous women were included for rs-fMRI scan. They were age and education well matched. A seed based FC method was conducted to reveal FC patterns with other brain regions using a region of interest in the PCC. The relationships between FC patterns and cognitive performance were further detected. Results Relative to primiparous women, parous women had significantly decreased FC primarily between the PCC and the right middle frontal gyrus and right parahippocampal gyrus. The decreased FC to the right parahippocampal gyrus in parous women was positively associated with the reduced DST scores (rho = 0.524, p = 0.031). Moreover, parous women compared with nulliparous women showed significantly decreased FC between the PCC and the left superior frontal gyrus and left middle frontal gyrus. The reduced FC to the left superior frontal gyrus in parous women was also positively associated with the lower DST scores (rho = 0.550, p = 0.022). Conclusion Our result highlights that women with second pregnancy revealed decreased FC between the DMN regions with the parahippocampal gyrus and prefrontal cortex, which was correlated with specific impaired cognitive function. This study may provide new insights into the neuropathological mechanisms of postpartum cognitive impairment and enhance our understanding of the neurobiological aspects during postpartum period.
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Affiliation(s)
- Juan Zhang
- Department of Neurology, Nanjing Yuhua Hospital, Yuhua Branch of Nanjing First Hospital, Nanjing, China
| | - Tao Zhang
- Department of Radiology, Nanjing Maternity and Child Health Care Hospital, Women’s Hospital of Nanjing Medical University, Nanjing, China
| | - Yu-Chen Chen
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Huiyou Chen
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Yuan Feng
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Wen-Wei Tang
- Department of Radiology, Nanjing Maternity and Child Health Care Hospital, Women’s Hospital of Nanjing Medical University, Nanjing, China
- *Correspondence: Wen-Wei Tang,
| | - Jin-Xia Zheng
- Department of Radiology, Nanjing Maternity and Child Health Care Hospital, Women’s Hospital of Nanjing Medical University, Nanjing, China
- Jin-Xia Zheng,
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12
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Hugdahl K, Craven AR, Johnsen E, Ersland L, Stoyanov D, Kandilarova S, Brunvoll Sandøy L, Kroken RA, Løberg EM, Sommer IEC. Neural Activation in the Ventromedial Prefrontal Cortex Precedes Conscious Experience of Being in or out of a Transient Hallucinatory State. Schizophr Bull 2022; 49:S58-S67. [PMID: 35596662 PMCID: PMC9960028 DOI: 10.1093/schbul/sbac028] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [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] [Indexed: 11/12/2022]
Abstract
BACKGROUND AND HYPOTHESES Auditory verbal hallucinations (AVHs) is not only a common symptom in schizophrenia but also observed in individuals in the general population. Despite extensive research, AVHs are poorly understood, especially their underlying neuronal architecture. Neuroimaging methods have been used to identify brain areas and networks that are activated during hallucinations. A characteristic feature of AVHs is, however, that they fluctuate over time, with varying frequencies of starts and stops. An unanswered question is, therefore, what neuronal events co-occur with the initiation and inhibition of an AVH episode. STUDY DESIGN We investigated brain activation with fMRI in 66 individuals who experienced multiple AVH-episodes while in the scanner. We extracted time-series fMRI-data and monitored changes second-by-second from 10 s before to 15 s after participants indicated the start and stop of an episode, respectively, by pressing a hand-held response-button. STUDY RESULTS We found a region in the ventromedial prefrontal cortex (VMPFC) which showed a significant increase in activation initiated a few seconds before participants indicated the start of an episode, and a corresponding decrease in activation initiated a few seconds before the end of an episode. CONCLUSIONS The consistent increase and decrease in activation in this area in advance of the consciously experienced presence or absence of the "voice" imply that this region may act as a switch in turning episodes on and off. The activation is unlikely to be confounded by motor responses. The findings could have clinical implications for brain stimulation treatments, like transcranial magnetic stimulation.
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Affiliation(s)
- Kenneth Hugdahl
- To whom correspondence should be addressed; IBMP, University of Bergen, Jonas Lies vei 91, 5009 Bergen, Norway; tel: +47-91181062, e-mail:
| | - Alexander R Craven
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway,Department of Clinical Engineering, Haukeland University Hospital, Bergen, Norway
| | - Erik Johnsen
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway,NORMENT Center for the Study of Mental Disorders, Haukeland University Hospital, Bergen, Norway,Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Lars Ersland
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway,Department of Clinical Engineering, Haukeland University Hospital, Bergen, Norway
| | - Drozdstoy Stoyanov
- Department of Psychiatry and Medical Psychology, and Research Institute, Medical University of Plovdiv, Plovdiv, Bulgaria
| | - Sevdalina Kandilarova
- Department of Psychiatry and Medical Psychology, and Research Institute, Medical University of Plovdiv, Plovdiv, Bulgaria
| | - Lydia Brunvoll Sandøy
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
| | - Rune A Kroken
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway,NORMENT Center for the Study of Mental Disorders, Haukeland University Hospital, Bergen, Norway
| | - Else-Marie Løberg
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway,NORMENT Center for the Study of Mental Disorders, Haukeland University Hospital, Bergen, Norway,Department of Addiction Medicine, Haukeland University Hospital, Bergen, Norway,Department of Clinical Psychology, University of Bergen, Bergen, Norway
| | - Iris E C Sommer
- Rijks Universiteit Groningen (RUG), Department of Biomedical Sciences of Cells and Systems and Department of Psychiatry, University Medical CenterGroningen (UMCG), Netherlands
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13
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Schutte MJL, Voppel A, Collin G, Abramovic L, Boks MPM, Cahn W, van Haren NEM, Hugdahl K, Koops S, Mandl RCW, Sommer IEC. Modular-Level Functional Connectome Alterations in Individuals With Hallucinations Across the Psychosis Continuum. Schizophr Bull 2022; 48:684-694. [PMID: 35179210 PMCID: PMC9077417 DOI: 10.1093/schbul/sbac007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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] [Indexed: 11/14/2022]
Abstract
Functional connectome alterations, including modular network organization, have been related to the experience of hallucinations. It remains to be determined whether individuals with hallucinations across the psychosis continuum exhibit similar alterations in modular brain network organization. This study assessed functional connectivity matrices of 465 individuals with and without hallucinations, including patients with schizophrenia and bipolar disorder, nonclinical individuals with hallucinations, and healthy controls. Modular brain network organization was examined at different scales of network resolution, including (1) global modularity measured as Qmax and Normalised Mutual Information (NMI) scores, and (2) within- and between-module connectivity. Global modular organization was not significantly altered across groups. However, alterations in within- and between-module connectivity were observed for higher-order cognitive (e.g., central-executive salience, memory, default mode), and sensory modules in patients with schizophrenia and nonclinical individuals with hallucinations relative to controls. Dissimilar patterns of altered within- and between-module connectivity were found bipolar disorder patients with hallucinations relative to controls, including the visual, default mode, and memory network, while connectivity patterns between visual, salience, and cognitive control modules were unaltered. Bipolar disorder patients without hallucinations did not show significant alterations relative to controls. This study provides evidence for alterations in the modular organization of the functional connectome in individuals prone to hallucinations, with schizophrenia patients and nonclinical individuals showing similar alterations in sensory and higher-order cognitive modules. Other higher-order cognitive modules were found to relate to hallucinations in bipolar disorder patients, suggesting differential neural mechanisms may underlie hallucinations across the psychosis continuum.
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Affiliation(s)
- Maya J L Schutte
- Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands,Department of Psychiatry, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Alban Voppel
- To whom correspondence should be addressed; Neuroimaging Center, PO Box 196, 9700 AD, Groningen, The Netherlands; tel: +31 88 75 58672, fax: +31887555487, e-mail:
| | - Guusje Collin
- Department of Psychiatry, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands,Department of Psychiatry, Beth Israel Deaconess Medical Center and Massachusetts Mental Health Center, Harvard Medical School, Boston, MA, USA,McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA,Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Lucija Abramovic
- Department of Psychiatry, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Marco P M Boks
- Department of Psychiatry, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Wiepke Cahn
- Department of Psychiatry, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Neeltje E M van Haren
- Department of Psychiatry, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands,Department of Child and adolescent psychiatry/psychology, Erasmus University Medical Center, Sophia’s Children’s Hospital, Rotterdam, Netherlands
| | - Kenneth Hugdahl
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway,Department of Psychiatry, Haukeland University Hospital, Bergen, Norway,Department of Radiology, Haukeland University Hospital, Bergen, Norway,NORMENT Norwegian Center for the Study of Mental Disorders, Haukeland University hospital, Bergen, Norway
| | - Sanne Koops
- Department of Psychiatry, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - René C W Mandl
- Department of Psychiatry, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Iris E C Sommer
- Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands,Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
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14
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Paunova R, Kandilarova S, Todeva-radneva A, Latypova A, Kherif F, Stoyanov D. Application of Mass Multivariate Analysis on Neuroimaging Data Sets for Precision Diagnostics of Depression. Diagnostics (Basel) 2022; 12:469. [PMID: 35204560 PMCID: PMC8871050 DOI: 10.3390/diagnostics12020469] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 01/18/2022] [Accepted: 02/08/2022] [Indexed: 01/29/2023] Open
Abstract
We used the Mass Multivariate Method on structural, resting-state, and task-related fMRI data from two groups of patients with schizophrenia and depression in order to define several regions of significant relevance to the differential diagnosis of those conditions. The regions included the left planum polare (PP), the left opercular part of the inferior frontal gyrus (OpIFG), the medial orbital gyrus (MOrG), the posterior insula (PIns), and the parahippocampal gyrus (PHG). This study delivered evidence that a multimodal neuroimaging approach can potentially enhance the validity of psychiatric diagnoses. Structural, resting-state, or task-related functional MRI modalities cannot provide independent biomarkers. Further studies need to consider and implement a model of incremental validity combining clinical measures with different neuroimaging modalities to discriminate depressive disorders from schizophrenia. Biological signatures of disease on the level of neuroimaging are more likely to underpin broader nosological entities in psychiatry.
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15
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Fovet T, Yger P, Lopes R, de Pierrefeu A, Duchesnay E, Houenou J, Thomas P, Szaffarczyk S, Domenech P, Jardri R. Decoding Activity in Broca's Area Predicts the Occurrence of Auditory Hallucinations Across Subjects. Biol Psychiatry 2022; 91:194-201. [PMID: 34742546 DOI: 10.1016/j.biopsych.2021.08.024] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [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] [Received: 06/02/2021] [Revised: 08/19/2021] [Accepted: 08/31/2021] [Indexed: 12/11/2022]
Abstract
BACKGROUND Functional magnetic resonance imaging (fMRI) capture aims at detecting auditory-verbal hallucinations (AVHs) from continuously recorded brain activity. Establishing efficient capture methods with low computational cost that easily generalize between patients remains a key objective in precision psychiatry. To address this issue, we developed a novel automatized fMRI-capture procedure for AVHs in patients with schizophrenia (SCZ). METHODS We used a previously validated but labor-intensive personalized fMRI-capture method to train a linear classifier using machine learning techniques. We benchmarked the performances of this classifier on 2320 AVH periods versus resting-state periods obtained from SCZ patients with frequent symptoms (n = 23). We characterized patterns of blood oxygen level-dependent activity that were predictive of AVH both within and between subjects. Generalizability was assessed with a second independent sample gathering 2000 AVH labels (n = 34 patients with SCZ), while specificity was tested with a nonclinical control sample performing an auditory imagery task (840 labels, n = 20). RESULTS Our between-subject classifier achieved high decoding accuracy (area under the curve = 0.85) and discriminated AVH from rest and verbal imagery. Optimizing the parameters on the first schizophrenia dataset and testing its performance on the second dataset led to an out-of-sample area under the curve of 0.85 (0.88 for the converse test). We showed that AVH detection critically depends on local blood oxygen level-dependent activity patterns within Broca's area. CONCLUSIONS Our results demonstrate that it is possible to reliably detect AVH states from fMRI blood oxygen level-dependent signals in patients with SCZ using a multivariate decoder without performing complex preprocessing steps. These findings constitute a crucial step toward brain-based treatments for severe drug-resistant hallucinations.
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Affiliation(s)
- Thomas Fovet
- Plasticity & SubjectivitY team, Lille Neuroscience & Cognition Research Centre, University of Lille, INSERM U1172, Lille, France; CURE platform, Psychiatry Department, Fontan Hospital, Centre Hospitalier Universitaire de Lille, Lille, France; Centre National de Ressources et de Résilience Lille-Paris, France
| | - Pierre Yger
- Plasticity & SubjectivitY team, Lille Neuroscience & Cognition Research Centre, University of Lille, INSERM U1172, Lille, France; Institut de la Vision, Sorbonne Université, INSERM, Centre national de la recherche scientifique, Paris, France
| | - Renaud Lopes
- Vascular & Cognitive Deficits team, Lille Neuroscience & Cognition Research Centre, University of Lille, INSERM U1172, Lille, France; In-vivo Imaging and Functions core facility, Neuroradiology Department, Centre Hospitalier Universitaire de Lille, Lille, France
| | | | | | - Josselin Houenou
- NeuroSpin, Univ Paris Saclay, CEA, Gif-sur-Yvette, France; Neurosurgery, Psychiatry and Addictology Departments, Groupe Hospitalier Universitaire Henri-Mondor, AP-HP, Créteil, France; Faculté de Santé UPEC, Université Paris Est Créteil, Créteil, France
| | - Pierre Thomas
- Plasticity & SubjectivitY team, Lille Neuroscience & Cognition Research Centre, University of Lille, INSERM U1172, Lille, France; CURE platform, Psychiatry Department, Fontan Hospital, Centre Hospitalier Universitaire de Lille, Lille, France
| | - Sébastien Szaffarczyk
- Plasticity & SubjectivitY team, Lille Neuroscience & Cognition Research Centre, University of Lille, INSERM U1172, Lille, France
| | - Philippe Domenech
- Institut du Cerveau et de la Moelle épinière, Sorbonne Université, INSERM, Centre national de la recherche scientifique, Paris, France; Neurosurgery, Psychiatry and Addictology Departments, Groupe Hospitalier Universitaire Henri-Mondor, AP-HP, Créteil, France; Faculté de Santé UPEC, Université Paris Est Créteil, Créteil, France
| | - Renaud Jardri
- Plasticity & SubjectivitY team, Lille Neuroscience & Cognition Research Centre, University of Lille, INSERM U1172, Lille, France; CURE platform, Psychiatry Department, Fontan Hospital, Centre Hospitalier Universitaire de Lille, Lille, France.
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16
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López-Silva P, Cavieres Á, Humpston C. The phenomenology of auditory verbal hallucinations in schizophrenia and the challenge from pseudohallucinations. Front Psychiatry 2022; 13:826654. [PMID: 36051554 PMCID: PMC9424625 DOI: 10.3389/fpsyt.2022.826654] [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] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 07/25/2022] [Indexed: 11/13/2022] Open
Abstract
In trying to make sense of the extensive phenomenological variation of first-personal reports on auditory verbal hallucinations, the concept of pseudohallucination is originally introduced to designate any hallucinatory-like phenomena not exhibiting some of the paradigmatic features of "genuine" hallucinations. After its introduction, Karl Jaspers locates the notion of pseudohallucinations into the auditory domain, appealing to a distinction between hallucinatory voices heard within the subjective inner space (pseudohallucination) and voices heard in the outer external space (real hallucinations) with differences in their sensory richness. Jaspers' characterization of the term has been the target of a number of phenomenological, conceptual and empirically-based criticisms. From this latter point of view, it has been claimed that the concept cannot capture distinct phenomena at the neurobiological level. Over the last years, the notion of pseudohallucination seems to be falling into disuse as no major diagnostic system seems to refer to it. In this paper, we propose that even if the concept of pseudohallucination is not helpful to differentiate distinct phenomena at the neurobiological level, the inner/outer distinction highlighted by Jaspers' characterization of the term still remains an open explanatory challenge for dominant theories about the neurocognitive origin of auditory verbal hallucinations. We call this, "the challenge from pseudohallucinations". After exploring this issue in detail, we propose some phenomenological, conceptual, and empirical paths for future research that might help to build up a more contextualized and dynamic view of auditory verbal hallucinatory phenomena.
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Affiliation(s)
- Pablo López-Silva
- School of Psychology, Faculty of Social Sciences, Universidad de Valparaíso, Valparaíso, Chile.,Millennium Institute for Research in Depression and Personality (MIDAP), Santiago, Chile
| | - Álvaro Cavieres
- Department of Psychiatry, School of Medicine, Faculty of Medicine, Universidad de Valparaíso, Valparaíso, Chile
| | - Clara Humpston
- School of Psychology, University of York, York, United Kingdom.,School of Psychology, Institute for Mental Health, University of Birmingham, Birmingham, United Kingdom
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17
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Sharaev M, Malashenkova I, Maslennikova A, Zakharova N, Bernstein A, Burnaev E, Mamedova G, Krynskiy S, Ogurtsov D, Kondrateva E, Druzhinina P, Zubrikhina M, Arkhipov A, Strelets V, Ushakov V. Diagnosis of Schizophrenia Based on the Data of Various Modalities: Biomarkers and Machine Learning Techniques (Review). Sovrem Tekhnologii Med 2022; 14:53-75. [PMID: 37181835 PMCID: PMC10171060 DOI: 10.17691/stm2022.14.5.06] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Indexed: 05/16/2023] Open
Abstract
Schizophrenia is a socially significant mental disorder resulting frequently in severe forms of disability. Diagnosis, choice of treatment tactics, and rehabilitation in clinical psychiatry are mainly based on the assessment of behavioral patterns, socio-demographic data, and other investigations such as clinical observations and neuropsychological testing including examination of patients by the psychiatrist, self-reports, and questionnaires. In many respects, these data are subjective and therefore a large number of works have appeared in recent years devoted to the search for objective characteristics (indices, biomarkers) of the processes going on in the human body and reflected in the behavioral and psychoneurological patterns of patients. Such biomarkers are based on the results of instrumental and laboratory studies (neuroimaging, electro-physiological, biochemical, immunological, genetic, and others) and are successfully being used in neurosciences for understanding the mechanisms of the emergence and development of nervous system pathologies. Presently, with the advent of new effective neuroimaging, laboratory, and other methods of investigation and also with the development of modern methods of data analysis, machine learning, and artificial intelligence, a great number of scientific and clinical studies is being conducted devoted to the search for the markers which have diagnostic and prognostic value and may be used in clinical practice to objectivize the processes of establishing and clarifying the diagnosis, choosing and optimizing treatment and rehabilitation tactics, predicting the course and outcome of the disease. This review presents the analysis of the works which describe the correlates between the diagnosis of schizophrenia, established by health professionals, various manifestations of the psychiatric disorder (its subtype, variant of the course, severity degree, observed symptoms, etc.), and objectively measured characteristics/quantitative indicators (anatomical, functional, immunological, genetic, and others) obtained during instrumental and laboratory examinations of patients. A considerable part of these works has been devoted to correlates/biomarkers of schizophrenia based on the data of structural and functional (at rest and under cognitive load) MRI, EEG, tractography, and immunological data. The found correlates/biomarkers reflect anatomic disorders in the specific brain regions, impairment of functional activity of brain regions and their interconnections, specific microstructure of the brain white matter and the levels of connectivity between the tracts of various structures, alterations of electrical activity in various parts of the brain in different EEG spectral ranges, as well as changes in the innate and adaptive links of immunity. Current methods of data analysis and machine learning to search for schizophrenia biomarkers using the data of diverse modalities and their application during building and interpretation of predictive diagnostic models of schizophrenia have been considered in the present review.
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Affiliation(s)
- M.G. Sharaev
- Senior Researcher; Skolkovo Institute of Science and Technology (Skoltech), Territory of Skolkovo Innovation Center, Bldg 1, 30 Bolshoy Boulevard, Moscow, 121205, Russia; Department Senior Researcher; N.A. Alekseyev Psychiatric Clinical Hospital No.1, 2 Zagorodnoye Shosse, Moscow, 117152, Russia
- Corresponding author: Maksim G. Sharaev, e-mail:
| | - I.K. Malashenkova
- Head of the Laboratory of Molecular Immunology and Virology; National Research Center “Kurchatov Institute”, 1 Akademika Kurchatova Square, Moscow, 123182, Russia; Senior Researcher, Laboratory of Clinical Immunology; Federal Research and Clinical Center of Physical-Chemical Medicine, Federal Medical Biological Agency of Russia, 1A Malaya Pirogovskaya St., Moscow, 119435, Russia
| | - A.V. Maslennikova
- Researcher, Laboratory of Human Higher Nervous Activity; Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, 5A Butlerova St., Moscow, 117485, Russia
| | - N.V. Zakharova
- Head of the Laboratory for Fundamental Research Methods, Research Clinical Center of Neuropsychiatry; N.A. Alekseyev Psychiatric Clinical Hospital No.1, 2 Zagorodnoye Shosse, Moscow, 117152, Russia
| | - A.V. Bernstein
- Professor, Professor of the Center of Applied Artificial Intelligence; Skolkovo Institute of Science and Technology (Skoltech), Territory of Skolkovo Innovation Center, Bldg 1, 30 Bolshoy Boulevard, Moscow, 121205, Russia
| | - E.V. Burnaev
- Associate Professor, Professor of the Center of Applied Artificial Intelligence; Skolkovo Institute of Science and Technology (Skoltech), Territory of Skolkovo Innovation Center, Bldg 1, 30 Bolshoy Boulevard, Moscow, 121205, Russia
| | - G.S. Mamedova
- Junior Researcher, Laboratory for Fundamental Research Methods, Research Clinical Center of Neuropsychiatry; N.A. Alekseyev Psychiatric Clinical Hospital No.1, 2 Zagorodnoye Shosse, Moscow, 117152, Russia
| | - S.A. Krynskiy
- Researcher, Laboratory of Molecular Immunology and Virology; National Research Center “Kurchatov Institute”, 1 Akademika Kurchatova Square, Moscow, 123182, Russia
| | - D.P. Ogurtsov
- Researcher, Laboratory of Molecular Immunology and Virology; National Research Center “Kurchatov Institute”, 1 Akademika Kurchatova Square, Moscow, 123182, Russia
| | - E.A. Kondrateva
- PhD Student; Skolkovo Institute of Science and Technology (Skoltech), Territory of Skolkovo Innovation Center, Bldg 1, 30 Bolshoy Boulevard, Moscow, 121205, Russia
| | - P.V. Druzhinina
- PhD Student; Skolkovo Institute of Science and Technology (Skoltech), Territory of Skolkovo Innovation Center, Bldg 1, 30 Bolshoy Boulevard, Moscow, 121205, Russia
| | - M.O. Zubrikhina
- PhD Student; Skolkovo Institute of Science and Technology (Skoltech), Territory of Skolkovo Innovation Center, Bldg 1, 30 Bolshoy Boulevard, Moscow, 121205, Russia
| | - A.Yu. Arkhipov
- Researcher, Laboratory of Human Higher Nervous Activity; Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, 5A Butlerova St., Moscow, 117485, Russia
| | - V.B. Strelets
- Chief Researcher, Laboratory of Human Higher Nervous Activity; Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, 5A Butlerova St., Moscow, 117485, Russia
| | - V.L. Ushakov
- Associate Professor, Chief Researcher, Institute for Advanced Brain Research; Lomonosov Moscow State University, 27/1 Lomonosov Avenue, Moscow, 119192, Russia; Head of the Department; N.A. Alekseyev Psychiatric Clinical Hospital No.1, 2 Zagorodnoye Shosse, Moscow, 117152, Russia; Senior Researcher; National Research Nuclear University MEPhI, 31 Kashirskoye Shosse, Moscow, 115409, Russia
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18
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Khalil M, Hollander P, Raucher-Chéné D, Lepage M, Lavigne KM. Structural brain correlates of cognitive function in schizophrenia: A meta-analysis. Neurosci Biobehav Rev 2021; 132:37-49. [PMID: 34822878 DOI: 10.1016/j.neubiorev.2021.11.034] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [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: 04/14/2021] [Revised: 11/18/2021] [Accepted: 11/21/2021] [Indexed: 12/20/2022]
Abstract
Schizophrenia is characterized by cognitive impairments and widespread structural brain abnormalities. Brain structure-cognition associations have been extensively studied in schizophrenia, typically involving individual cognitive domains or brain regions of interest. Findings in overlapping and diffuse brain regions may point to structural alterations in large-scale brain networks. We performed a systematic review and meta-analysis examining whether brain structure-cognition associations can be explained in terms of biologically meaningful brain networks. Of 7,261 screened articles, 88 were included in a series of meta-analyses assessing publication bias, heterogeneity, and study quality. Significant associations were found between overall brain structure and eight MATRICS-inspired cognitive domains. Brain structure mapped onto the seven Yeo functionally defined networks and extraneous structures (amygdala, hippocampus, and cerebellum) typically showed associations with conceptually related cognitive domains, with higher-level domains (e.g., executive function, social cognition) associated with more networks. These findings synthesize the extensive literature on brain structure and cognition in schizophrenia from a contemporary network neuroscience perspective and suggest that brain structure-cognition associations in schizophrenia may follow functional network architecture.
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Affiliation(s)
- Marianne Khalil
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada
| | - Philippine Hollander
- Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada; Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Delphine Raucher-Chéné
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada; Department of Psychiatry, University Hospital of Reims, EPSM Marne, Reims, France; Cognition, Health, and Society Laboratory (EA 6291), University of Reims, Champagne-Ardenne, Reims, France
| | - Martin Lepage
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada
| | - Katie M Lavigne
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada; Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
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19
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Barber L, Reniers R, Upthegrove R. A review of functional and structural neuroimaging studies to investigate the inner speech model of auditory verbal hallucinations in schizophrenia. Transl Psychiatry 2021; 11:582. [PMID: 34764242 DOI: 10.1038/s41398-021-01670-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 08/14/2021] [Accepted: 09/23/2021] [Indexed: 11/29/2022] Open
Abstract
Although the pathophysiology of auditory verbal hallucinations remains uncertain, the inner speech model remains a prominent theory. A systematic review and meta-analyses of both functional and structural neuroimaging studies were performed to investigate the inner speech model. Of the 417 papers retrieved, 26 met the inclusion criteria. Meta-analyses found the left insula to be significantly active during auditory verbal hallucinations and to have a significantly reduced grey matter volume in hallucinators. Dysfunction of the left insula may contribute to the misattribution of inner speech due to its suggested roles in both inner speech production and the salience network. No significant activity was found at Broca's area or Heschl's gyrus during auditory verbal hallucinations. Furthermore, no structural abnormalities were found at these sites or in the arcuate fasciculi. Overall, evidence was found to both support and oppose the inner speech model. Further research should particularly include a systematic review of task-based trait studies with a focus on inner speech production and self-referential processing, and analyses of additional language-related white matter tracts.
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20
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Hu J, Xu JJ, Shang S, Chen H, Yin X, Qi J, Wu Y. Cerebral Blood Flow Difference Between Acute and Chronic Tinnitus Perception: A Perfusion Functional Magnetic Resonance Imaging Study. Front Neurosci 2021; 15:752419. [PMID: 34675772 PMCID: PMC8523683 DOI: 10.3389/fnins.2021.752419] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 08/30/2021] [Indexed: 11/13/2022] Open
Abstract
Purpose: The central nervous mechanism of acute tinnitus is different from that of chronic tinnitus, which may be related to the difference of cerebral blood flow (CBF) perfusion in certain regions. To verify this conjecture, we used arterial spin labeling (ASL) perfusion magnetic resonance imaging (MRI) in this study to compare the CBF alterations of patients with acute and chronic tinnitus. Methods: The current study included patients with chronic tinnitus (n = 35), acute tinnitus (n = 30), and healthy controls (n = 40) who were age-, sex-, and education-matched. All participants underwent MRI scanning and then ASL images were obtained to measure CBF of the entire brain and analyze the differences between groups as well as the correlations with tinnitus characteristics. Results: The chronic tinnitus group showed increased z-CBF in the right superior temporal gyrus (STG) and superior frontal gyrus (SFG) when compared with the acute tinnitus patients. Further connectivity analysis found enhanced CBF connectivity between the right STG and fusiform gyrus (FG), the right SFG and left middle occipital gyrus (MOG), as well as the right parahippocampal gyrus (PHG). Moreover, in the chronic tinnitus group, the tinnitus handicap questionnaire (THQ) score was positively correlated with the normalized z-CBF of right STG (r = 0.440, p = 0.013). Conclusion: Our results confirmed that the CBF changes in some brain regions were different between acute and chronic tinnitus patients, which was correlated with certain tinnitus characteristics. This is of great value to further research on chronicity of tinnitus, and ASL has a promising application in the measurement of CBF.
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Affiliation(s)
- Jinghua Hu
- Department of Otolaryngology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Jin-Jing Xu
- Department of Otolaryngology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Song’an Shang
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Huiyou Chen
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Xindao Yin
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Jianwei Qi
- Department of Otolaryngology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Yuanqing Wu
- Department of Otolaryngology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
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21
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Fuentes-Claramonte P, Soler-Vidal J, Salgado-Pineda P, García-León MÁ, Ramiro N, Santo-Angles A, Llanos Torres M, Tristany J, Guerrero-Pedraza A, Munuera J, Sarró S, Salvador R, Hinzen W, McKenna PJ, Pomarol-Clotet E. Auditory hallucinations activate language and verbal short-term memory, but not auditory, brain regions. Sci Rep 2021; 11:18890. [PMID: 34556714 PMCID: PMC8460641 DOI: 10.1038/s41598-021-98269-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 08/31/2021] [Indexed: 11/12/2022] Open
Abstract
Auditory verbal hallucinations (AVH, ‘hearing voices’) are an important symptom of schizophrenia but their biological basis is not well understood. One longstanding approach proposes that they are perceptual in nature, specifically that they reflect spontaneous abnormal neuronal activity in the auditory cortex, perhaps with additional ‘top down’ cognitive influences. Functional imaging studies employing the symptom capture technique—where activity when patients experience AVH is compared to times when they do not—have had mixed findings as to whether the auditory cortex is activated. Here, using a novel variant of the symptom capture technique, we show that the experience of AVH does not induce auditory cortex activation, even while real speech does, something that effectively rules out all theories that propose a perceptual component to AVH. Instead, we find that the experience of AVH activates language regions and/or regions that are engaged during verbal short-term memory.
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Affiliation(s)
- Paola Fuentes-Claramonte
- FIDMAG Hermanas Hospitalarias Research Foundation, C/. Dr. Antoni Pujadas 38, 08830, Sant Boi de Llobregat, Barcelona, Spain.,CIBERSAM, Madrid, Spain
| | - Joan Soler-Vidal
- FIDMAG Hermanas Hospitalarias Research Foundation, C/. Dr. Antoni Pujadas 38, 08830, Sant Boi de Llobregat, Barcelona, Spain.,CIBERSAM, Madrid, Spain.,Universitat de Barcelona, Barcelona, Spain.,Benito Menni Complex Asistencial en Salut Mental, Sant Boi de Llobregat, Spain
| | - Pilar Salgado-Pineda
- FIDMAG Hermanas Hospitalarias Research Foundation, C/. Dr. Antoni Pujadas 38, 08830, Sant Boi de Llobregat, Barcelona, Spain.,CIBERSAM, Madrid, Spain
| | - María Ángeles García-León
- FIDMAG Hermanas Hospitalarias Research Foundation, C/. Dr. Antoni Pujadas 38, 08830, Sant Boi de Llobregat, Barcelona, Spain.,CIBERSAM, Madrid, Spain
| | | | - Aniol Santo-Angles
- FIDMAG Hermanas Hospitalarias Research Foundation, C/. Dr. Antoni Pujadas 38, 08830, Sant Boi de Llobregat, Barcelona, Spain
| | | | | | | | | | - Salvador Sarró
- FIDMAG Hermanas Hospitalarias Research Foundation, C/. Dr. Antoni Pujadas 38, 08830, Sant Boi de Llobregat, Barcelona, Spain.,CIBERSAM, Madrid, Spain
| | - Raymond Salvador
- FIDMAG Hermanas Hospitalarias Research Foundation, C/. Dr. Antoni Pujadas 38, 08830, Sant Boi de Llobregat, Barcelona, Spain.,CIBERSAM, Madrid, Spain
| | - Wolfram Hinzen
- ICREA (Institució Catalana de Recerca i Estudis Avançats), Barcelona, Spain.,Universitat Pompeu Fabra, Barcelona, Spain
| | - Peter J McKenna
- FIDMAG Hermanas Hospitalarias Research Foundation, C/. Dr. Antoni Pujadas 38, 08830, Sant Boi de Llobregat, Barcelona, Spain. .,CIBERSAM, Madrid, Spain.
| | - Edith Pomarol-Clotet
- FIDMAG Hermanas Hospitalarias Research Foundation, C/. Dr. Antoni Pujadas 38, 08830, Sant Boi de Llobregat, Barcelona, Spain.,CIBERSAM, Madrid, Spain
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22
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Zhou M, Zhuo L, Ji R, Gao Y, Yao H, Feng R, Zhang L, Huang G, Huang X. Alterations in functional network centrality in first-episode drug-naïve adolescent-onset schizophrenia. Brain Imaging Behav 2021; 16:316-323. [PMID: 34410608 DOI: 10.1007/s11682-021-00505-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/13/2021] [Indexed: 02/05/2023]
Abstract
Schizophrenia is a disorder resulting from aberrant brain networks and circuits. In the current study, we aimed to investigate specific network alterations in adolescent-onset schizophrenia (AOS) and to help identify the neurophysiological mechanisms of this adolescent disorder. We recruited forty-one subjects, including 20 AOS patients and 21 matched healthy controls (HCs), and we acquired brain images to examine the specific changes in functional network patterns using degree centrality (DC), which quantifies the strength of the local functional connectivity hubs. Whole-brain correlation analysis was applied to assess the relationships between clinical characteristics and DC measurements. The AOS group exhibited increased DC in the right inferior frontal lobe, right fusiform gyrus and right thalamus (p < 0.05, AlphaSim correction). Whole-brain correlation analysis found that the DC value in the right parahippocampus was positively correlated with PANSS-positive symptom scores (r = 0.80); DC in the right superior parietal lobe (SPL) was positively correlated with PANSS-negative symptom scores (r = 0.79); DC in the left precuneus was positively correlated with self-certainty (SC) scores (r = 0.70); and DC in the left medial frontal gyrus (MFG) was negatively correlated with self-reflectiveness (SR) scores (r = 0.69). We conclude that frontoparietal network and cortico-thalamo-cortical pathway disruptions could play key roles in the neurophysiological mechanisms underlying AOS. In AOS patients, the right parahippocampus and SPL are important structures associated with positive and negative symptoms, respectively, and the left precuneus and MFG contribute to deficits in cognitive insights.
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Affiliation(s)
- Ming Zhou
- Center of Psychoradiology, Department of Radiology, The Third Hospital of Mianyang/Sichuan Mental Health Center, Mianyang, 621000, Sichuan, People's Republic of China
| | - Lihua Zhuo
- Center of Psychoradiology, Department of Radiology, The Third Hospital of Mianyang/Sichuan Mental Health Center, Mianyang, 621000, Sichuan, People's Republic of China
| | - Ruofei Ji
- Department of Psychiatry, The Third Hospital of Mianyang/Sichuan Mental Health Center, Mianyang, 621000, Sichuan, People's Republic of China
| | - Yingxue Gao
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Hongchao Yao
- Center of Psychoradiology, Department of Radiology, The Third Hospital of Mianyang/Sichuan Mental Health Center, Mianyang, 621000, Sichuan, People's Republic of China
| | - Ruohan Feng
- Center of Psychoradiology, Department of Radiology, The Third Hospital of Mianyang/Sichuan Mental Health Center, Mianyang, 621000, Sichuan, People's Republic of China.,Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Lianqing Zhang
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Guoping Huang
- Center of Psychoradiology, Department of Radiology, The Third Hospital of Mianyang/Sichuan Mental Health Center, Mianyang, 621000, Sichuan, People's Republic of China. .,Department of Psychiatry, The Third Hospital of Mianyang/Sichuan Mental Health Center, Mianyang, 621000, Sichuan, People's Republic of China.
| | - Xiaoqi Huang
- Center of Psychoradiology, Department of Radiology, The Third Hospital of Mianyang/Sichuan Mental Health Center, Mianyang, 621000, Sichuan, People's Republic of China. .,Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, China.
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23
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Na G, Kwak SH, Jang SH, Noh HE, Kim J, Yang S, Jung J. Supplementary Effect of Choline Alfoscerate on Speech Recognition in Patients With Age-Related Hearing Loss: A Prospective Study in 34 Patients (57 Ears). Front Aging Neurosci 2021; 13:684519. [PMID: 34149400 PMCID: PMC8211767 DOI: 10.3389/fnagi.2021.684519] [Citation(s) in RCA: 4] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 05/10/2021] [Indexed: 11/13/2022] Open
Abstract
To investigate the effect of choline alfoscerate (CA) on hearing amplification in patients with age related hearing loss, we performed a prospective case-control observational study from March 2016 to September 2020. We assessed patients with bilateral word recognition score (WRS) <50% using monosyllabic words. The patients were 65-85 years old, without any history of dementia, Alzheimer's disease, parkinsonism, or depression. After enrollment, all patients started using hearing aids (HA). The CA group received a daily dose of 800 mg CA for 11 months. We performed between-group comparisons of audiological data, including pure tone audiometry, WRS, HA fitting data obtained using real-ear measurement (REM), and the Abbreviated Profile of Hearing Aid benefit scores after treatment. After CA administration, the WRS improved significantly in the CA group (4.2 ± 8.3%), but deteriorated in the control group (-0.6 ± 8.1%, p = 0.035). However, there was no significant between-group difference in the change in pure tone thresholds and aided speech intelligibility index calculated from REM. These findings suggest that the difference in WRS was relevant to central speech understanding rather than peripheral audibility. Therefore, administering oral CA could effectively enrich listening comprehension in older HA users.
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Affiliation(s)
- Gina Na
- Department of Otorhinolaryngology, Yonsei University College of Medicine, Seoul, South Korea.,Department of Otorhinolaryngology, Ilsan Paik Hospital, Inje University College of Medicine, Goyang, South Korea
| | - Sang Hyun Kwak
- Department of Otorhinolaryngology, St. Vincent Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Seung Hyun Jang
- Department of Otorhinolaryngology, Yonsei University College of Medicine, Seoul, South Korea
| | - Hye Eun Noh
- Department of Otorhinolaryngology, Yonsei University College of Medicine, Seoul, South Korea
| | - Jungghi Kim
- Department of Otorhinolaryngology, Yonsei University College of Medicine, Seoul, South Korea
| | - SeungJoon Yang
- Department of Otorhinolaryngology, Yonsei University College of Medicine, Seoul, South Korea
| | - Jinsei Jung
- Department of Otorhinolaryngology, Yonsei University College of Medicine, Seoul, South Korea
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24
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Stein F, Meller T, Brosch K, Schmitt S, Ringwald K, Pfarr JK, Meinert S, Thiel K, Lemke H, Waltemate L, Grotegerd D, Opel N, Jansen A, Nenadić I, Dannlowski U, Krug A, Kircher T. Psychopathological Syndromes Across Affective and Psychotic Disorders Correlate With Gray Matter Volumes. Schizophr Bull 2021; 47:1740-1750. [PMID: 33860786 PMCID: PMC8530386 DOI: 10.1093/schbul/sbab037] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [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: 02/06/2023]
Abstract
INTRODUCTION More than a century of research on the neurobiological underpinnings of major psychiatric disorders (major depressive disorder [MDD], bipolar disorder [BD], schizophrenia [SZ], and schizoaffective disorder [SZA]) has been unable to identify diagnostic markers. An alternative approach is to study dimensional psychopathological syndromes that cut across categorical diagnoses. The aim of the current study was to identify gray matter volume (GMV) correlates of transdiagnostic symptom dimensions. METHODS We tested the association of 5 psychopathological factors with GMV using multiple regression models in a sample of N = 1069 patients meeting Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria for MDD (n = 818), BD (n = 132), and SZ/SZA (n = 119). T1-weighted brain images were acquired with 3-Tesla magnetic resonance imaging and preprocessed with CAT12. Interactions analyses (diagnosis × psychopathological factor) were performed to test whether local GMV associations were driven by DSM-IV diagnosis. We further tested syndrome specific regions of interest (ROIs). RESULTS Whole brain analysis showed a significant negative association of the positive formal thought disorder factor with GMV in the right middle frontal gyrus, the paranoid-hallucinatory syndrome in the right fusiform, and the left middle frontal gyri. ROI analyses further showed additional negative associations, including the negative syndrome with bilateral frontal opercula, positive formal thought disorder with the left amygdala-hippocampus complex, and the paranoid-hallucinatory syndrome with the left angular gyrus. None of the GMV associations interacted with DSM-IV diagnosis. CONCLUSIONS We found associations between psychopathological syndromes and regional GMV independent of diagnosis. Our findings open a new avenue for neurobiological research across disorders, using syndrome-based approaches rather than categorical diagnoses.
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Affiliation(s)
- Frederike Stein
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind Brain and Behavior, University of Marburg, Marburg, Germany,To whom correspondence should be addressed; Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; tel: +49-6421-58-63831, fax: +49-6421-58-68939, e-mail:
| | - Tina Meller
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind Brain and Behavior, University of Marburg, Marburg, Germany
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind Brain and Behavior, University of Marburg, Marburg, Germany
| | - Simon Schmitt
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind Brain and Behavior, University of Marburg, Marburg, Germany
| | - Kai Ringwald
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind Brain and Behavior, University of Marburg, Marburg, Germany
| | - Julia Katharina Pfarr
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind Brain and Behavior, University of Marburg, Marburg, Germany
| | - Susanne Meinert
- Department of Psychiatry University of Münster, Münster, Germany
| | - Katharina Thiel
- Department of Psychiatry University of Münster, Münster, Germany
| | - Hannah Lemke
- Department of Psychiatry University of Münster, Münster, Germany
| | - Lena Waltemate
- Department of Psychiatry University of Münster, Münster, Germany
| | | | - Nils Opel
- Department of Psychiatry University of Münster, Münster, Germany
| | - Andreas Jansen
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind Brain and Behavior, University of Marburg, Marburg, Germany
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind Brain and Behavior, University of Marburg, Marburg, Germany
| | - Udo Dannlowski
- Department of Psychiatry University of Münster, Münster, Germany
| | - Axel Krug
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind Brain and Behavior, University of Marburg, Marburg, Germany,Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind Brain and Behavior, University of Marburg, Marburg, Germany
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25
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Abstract
Crohn's disease (CD), a chronic inflammatory bowel disease, involved in brain structural and functional changes, including the amygdala. Amygdala is a key structure in the limbic system and its related circuits are implicated in processing of emotion, pain and sensory. However, limited study of the amygdala is elucidated in CD. This study mainly investigated altered functional connectivity (FC) of the amygdala in CD patients during resting-state. Magnetic resonance imaging scans were acquired from 42 CD patients and 35 healthy controls (HCs). Whole amygdala bilaterally were selected as regions of interest (ROIs). Voxel-based morphometry and FC methods were applied to investigate the differences of structure or intrinsic connectivity of the amygdala between the two groups, separately. Pearson correlations were performed to explore relationships between the clinical characteristics and neuroimaging findings in CD patients. Based on the whole amygdala bilaterally as ROIs, compared with HCs, CD patients showed no statistical differences of grey matter destiny but exhibited decreased FC between the amygdala and insula, parahippocampus, as well as anterior middle cingulate cortex/dorsal anterior cingulate cortex. CD patients had negative correlation between the disease duration and amygdala-insula connectivity. In the patient group, patients with higher anxiety or depression scores revealed increased FC of the amygdala with thalamus and orbitofrontal cortex. Our results reveal that aberrant FC of the amygdala may be involved in processing of visceral pain and sensation, and emotion in CD. These findings may further enhance the understanding of neural mechanisms of CD.
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Affiliation(s)
- Yingying Fan
- Life Science Research Center, School of Life Science and Technology, Xidian University, Xi'an, 710071, China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, 710071, China
| | - Chunhui Bao
- Key Laboratory of Acupuncture and Immunological Effects, Shanghai University of Traditional Chinese Medicine, Shanghai, 200030, China
| | - Ying Wei
- Life Science Research Center, School of Life Science and Technology, Xidian University, Xi'an, 710071, China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, 710071, China
| | - Jiayu Wu
- Life Science Research Center, School of Life Science and Technology, Xidian University, Xi'an, 710071, China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, 710071, China
| | - Yingsong Zhao
- Life Science Research Center, School of Life Science and Technology, Xidian University, Xi'an, 710071, China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, 710071, China
| | - Xiao Zeng
- Life Science Research Center, School of Life Science and Technology, Xidian University, Xi'an, 710071, China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, 710071, China
| | - Wei Qin
- Life Science Research Center, School of Life Science and Technology, Xidian University, Xi'an, 710071, China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, 710071, China
| | - Huangan Wu
- Key Laboratory of Acupuncture and Immunological Effects, Shanghai University of Traditional Chinese Medicine, Shanghai, 200030, China.
| | - Peng Liu
- Life Science Research Center, School of Life Science and Technology, Xidian University, Xi'an, 710071, China.
- Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, 710071, China.
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26
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Mohagheghian F, Khajehpour H, Samadzadehaghdam N, Eqlimi E, Jalilvand H, Makkiabadi B, Deevband MR. Altered effective brain network topology in tinnitus: An EEG source connectivity analysis. Biomed Signal Process Control 2021. [DOI: 10.1016/j.bspc.2020.102331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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27
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Thakkar KN, Mathalon DH, Ford JM. Reconciling competing mechanisms posited to underlie auditory verbal hallucinations. Philos Trans R Soc Lond B Biol Sci 2021; 376:20190702. [PMID: 33308062 PMCID: PMC7741078 DOI: 10.1098/rstb.2019.0702] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [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] [Accepted: 08/24/2020] [Indexed: 01/21/2023] Open
Abstract
Perception is not the passive registration of incoming sensory data. Rather, it involves some analysis by synthesis, based on past experiences and context. One adaptive consequence of this arrangement is imagination-the ability to richly simulate sensory experiences, interrogate and manipulate those simulations, in service of action and decision making. In this paper, we will discuss one possible cost of this adaptation, namely hallucinations-perceptions without sensory stimulation, which characterize serious mental illnesses like schizophrenia, but which also occur in neurological illnesses, and-crucially for the present piece-are common also in the non-treatment-seeking population. We will draw upon a framework for imagination that distinguishes voluntary from non-voluntary experiences and explore the extent to which the varieties and features of hallucinations map onto this distinction, with a focus on auditory-verbal hallucinations (AVHs)-colloquially, hearing voices. We will propose that sense of agency for the act of imagining is key to meaningfully dissecting different forms and features of AVHs, and we will outline the neural, cognitive and phenomenological sequelae of this sense. We will conclude that a compelling unifying framework for action, perception and belief-predictive processing-can incorporate observations regarding sense of agency, imagination and hallucination. This article is part of the theme issue 'Offline perception: voluntary and spontaneous perceptual experiences without matching external stimulation'.
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Affiliation(s)
- Katharine N. Thakkar
- Department of Psychology, Michigan State University, East Lansing, MI, USA
- Department of Psychiatry and Behavioral Medicine, Michigan State University, East Lansing, MI, USA
| | - Daniel H. Mathalon
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco (UCSF), San Francisco, CA, USA
- Mental Health Service, Veterans Affairs San Francisco Healthcare System, San Francisco, CA, USA
| | - Judith M. Ford
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco (UCSF), San Francisco, CA, USA
- Mental Health Service, Veterans Affairs San Francisco Healthcare System, San Francisco, CA, USA
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Schutte MJL, Bohlken MM, Collin G, Abramovic L, Boks MPM, Cahn W, Dauwan M, van Dellen E, van Haren NEM, Hugdahl K, Koops S, Mandl RCW, Sommer IEC. Functional connectome differences in individuals with hallucinations across the psychosis continuum. Sci Rep 2021; 11:1108. [PMID: 33441965 PMCID: PMC7806763 DOI: 10.1038/s41598-020-80657-8] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Accepted: 12/17/2020] [Indexed: 01/29/2023] Open
Abstract
Hallucinations may arise from an imbalance between sensory and higher cognitive brain regions, reflected by alterations in functional connectivity. It is unknown whether hallucinations across the psychosis continuum exhibit similar alterations in functional connectivity, suggesting a common neural mechanism, or whether different mechanisms link to hallucinations across phenotypes. We acquired resting-state functional MRI scans of 483 participants, including 40 non-clinical individuals with hallucinations, 99 schizophrenia patients with hallucinations, 74 bipolar-I disorder patients with hallucinations, 42 bipolar-I disorder patients without hallucinations, and 228 healthy controls. The weighted connectivity matrices were compared using network-based statistics. Non-clinical individuals with hallucinations and schizophrenia patients with hallucinations exhibited increased connectivity, mainly among fronto-temporal and fronto-insula/cingulate areas compared to controls (P < 0.001 adjusted). Differential effects were observed for bipolar-I disorder patients with hallucinations versus controls, mainly characterized by decreased connectivity between fronto-temporal and fronto-striatal areas (P = 0.012 adjusted). No connectivity alterations were found between bipolar-I disorder patients without hallucinations and controls. Our results support the notion that hallucinations in non-clinical individuals and schizophrenia patients are related to altered interactions between sensory and higher-order cognitive brain regions. However, a different dysconnectivity pattern was observed for bipolar-I disorder patients with hallucinations, which implies a different neural mechanism across the psychosis continuum.
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Affiliation(s)
- Maya J L Schutte
- Department of Biomedical Sciences of Cells and Systems, University of Groningen, University Medical Center Groningen, Neuroimaging Center, PO Box 196, 9700 AD, Groningen, The Netherlands.
| | - Marc M Bohlken
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Guusje Collin
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands.,Department of Psychiatry, Beth Israel Deaconess Medical Center and Massachusetts Mental Health Center, Harvard Medical School, Boston, MA, USA.,McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Lucija Abramovic
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Marco P M Boks
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Wiepke Cahn
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Meenakshi Dauwan
- Department of Biomedical Sciences of Cells and Systems, University of Groningen, University Medical Center Groningen, Neuroimaging Center, PO Box 196, 9700 AD, Groningen, The Netherlands
| | - Edwin van Dellen
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands.,Department of Intensive Care Medicine and UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Neeltje E M van Haren
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands.,Department of Child and Adolescent Psychiatry, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Kenneth Hugdahl
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway.,Department of Psychiatry, Haukeland University Hospital, Bergen, Norway.,Department of Radiology, Haukeland University Hospital, Bergen, Norway.,NORMENT Center for the Study of Mental Disorders, University of Oslo, Oslo, Norway
| | - Sanne Koops
- Department of Biomedical Sciences of Cells and Systems, University of Groningen, University Medical Center Groningen, Neuroimaging Center, PO Box 196, 9700 AD, Groningen, The Netherlands
| | - René C W Mandl
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Iris E C Sommer
- Department of Biomedical Sciences of Cells and Systems, University of Groningen, University Medical Center Groningen, Neuroimaging Center, PO Box 196, 9700 AD, Groningen, The Netherlands.,Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
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Marschall TM, Ćurčić-Blake B, Brederoo SG, Renken RJ, Linszen MMJ, Koops S, Sommer IEC. Spontaneous brain activity underlying auditory hallucinations in the hearing-impaired. Cortex 2021; 136:1-13. [PMID: 33450598 DOI: 10.1016/j.cortex.2020.12.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 11/09/2020] [Accepted: 12/05/2020] [Indexed: 11/22/2022]
Abstract
Auditory hallucinations, the perception of a sound without a corresponding source, are common in people with hearing impairment. Two forms can be distinguished: simple (i.e., tinnitus) and complex hallucinations (speech and music). Little is known about the precise mechanisms underlying these types of hallucinations. Here we tested the assumption that spontaneous activity in the auditory pathways, following deafferentation, underlies these hallucinations and is related to their phenomenology. By extracting (fractional) Amplitude of Low Frequency Fluctuation [(f)ALFF] scores from resting state fMRI of 18 hearing impaired patients with complex hallucinations (voices or music), 18 hearing impaired patients with simple hallucinations (tinnitus or murmuring), and 20 controls with normal hearing, we investigated differences in spontaneous brain activity between these groups. Spontaneous activity in the anterior and posterior cingulate cortex of hearing-impaired groups was significantly higher than in the controls. The group with complex hallucinations showed elevated activity in the bilateral temporal cortex including Wernicke's area, while spontaneous activity of the group with simple hallucinations was mainly located in the cerebellum. These results suggest a decrease in error monitoring in both hearing-impaired groups. Spontaneous activity of language-related areas only in complex hallucinations suggests that the manifestation of the spontaneous activity represents the phenomenology of the hallucination. The link between cerebellar activity and simple hallucinations, such as tinnitus, is new and may have consequences for treatment.
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Lin YH, Dhanaraj V, Mackenzie AE, Young IM, Tanglay O, Briggs RG, Chakraborty AR, Hormovas J, Fonseka RD, Kim SJ, Yeung JT, Teo C, Sughrue ME. Anatomy and White Matter Connections of the Parahippocampal Gyrus. World Neurosurg 2021; 148:e218-e226. [PMID: 33412321 DOI: 10.1016/j.wneu.2020.12.136] [Citation(s) in RCA: 6] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Revised: 12/23/2020] [Accepted: 12/24/2020] [Indexed: 10/22/2022]
Abstract
BACKGROUND The parahippocampal gyrus is understood to have a role in high cognitive functions including memory encoding and retrieval and visuospatial processing. A detailed understanding of the exact location and nature of associated white tracts could significantly improve postoperative morbidity related to declining capacity. Through diffusion tensor imaging-based fiber tracking validated by gross anatomic dissection as ground truth, we have characterized these connections based on relationships to other well-known structures. METHODS Diffusion imaging from the Human Connectome Project for 10 healthy adult controls was used for tractography analysis. We evaluated the parahippocampal gyrus as a whole based on connectivity with other regions. All parahippocampal gyrus tracts were mapped in both hemispheres, and a lateralization index was calculated with resultant tract volumes. RESULTS We identified 2 connections of the parahippocampal gyrus: inferior longitudinal fasciculus and cingulum. Lateralization of the cingulum was detected (P < 0.05). CONCLUSIONS The parahippocampal gyrus is an important center for memory processing. Subtle differences in executive functioning following surgery for limbic tumors may be better understood in the context of the fiber-bundle anatomy highlighted by this study.
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Affiliation(s)
- Yueh-Hsin Lin
- Centre for Minimally Invasive Neurosurgery Prince of Wales Private Hospital, Sydney, Australia
| | - Vukshitha Dhanaraj
- Centre for Minimally Invasive Neurosurgery Prince of Wales Private Hospital, Sydney, Australia
| | - Alana E Mackenzie
- Centre for Minimally Invasive Neurosurgery Prince of Wales Private Hospital, Sydney, Australia
| | | | - Onur Tanglay
- Centre for Minimally Invasive Neurosurgery Prince of Wales Private Hospital, Sydney, Australia
| | - Robert G Briggs
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Arpan R Chakraborty
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Jorge Hormovas
- Centre for Minimally Invasive Neurosurgery Prince of Wales Private Hospital, Sydney, Australia
| | - R Dineth Fonseka
- Centre for Minimally Invasive Neurosurgery Prince of Wales Private Hospital, Sydney, Australia
| | - Sihyong J Kim
- Centre for Minimally Invasive Neurosurgery Prince of Wales Private Hospital, Sydney, Australia
| | - Jacky T Yeung
- Centre for Minimally Invasive Neurosurgery Prince of Wales Private Hospital, Sydney, Australia
| | - Charles Teo
- Centre for Minimally Invasive Neurosurgery Prince of Wales Private Hospital, Sydney, Australia
| | - Michael E Sughrue
- Centre for Minimally Invasive Neurosurgery Prince of Wales Private Hospital, Sydney, Australia.
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31
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Curtis MT, Coffman BA, Salisbury DF. Parahippocampal area three gray matter is reduced in first-episode schizophrenia spectrum: Discovery and replication samples. Hum Brain Mapp 2020; 42:724-736. [PMID: 33219733 PMCID: PMC7814759 DOI: 10.1002/hbm.25256] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [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: 05/26/2020] [Revised: 09/02/2020] [Accepted: 10/07/2020] [Indexed: 12/27/2022] Open
Abstract
Early course schizophrenia is associated with reduced gray matter. The specific structures affected first and how deficits impact symptoms and cognition remain unresolved. We used the Human Connectome Project multimodal parcellation (HCP‐MMP) to precisely identify cortical areas and investigate thickness abnormalities in discovery and replication samples of first‐episode schizophrenia spectrum individuals (FESz). In the discovery sample, T1w scans were acquired from 31 FESz and 31 matched healthy controls (HC). Thickness was calculated for 360 regions in Freesurfer. In the replication sample, high‐resolution T1w, T2w, and BOLD‐rest scans were acquired from 23 FESz and 32 HC and processed with HCP protocols. Thickness was calculated for regions significant in the discovery sample. After FDR correction (q < .05), left and right parahippocampal area 3 (PHA3) were significantly thinner in FESz. In the replication sample, bilateral PHA3 were again thinner in FESz (q < .05). Exploratory correlation analyses revealed left PHA3 was positively associated with hallucinations and right PHA3 was positively associated with processing speed, working memory, and verbal learning. The novel use of the HCP‐MMP in two independent FESz samples revealed thinner bilateral PHA3, suggesting this byway between cortical and limbic processing is a critical site of pathology near the emergence of psychosis.
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Affiliation(s)
- Mark T Curtis
- Clinical Neurophysiology Research Laboratory, Western Psychiatric Hospital, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Brian A Coffman
- Clinical Neurophysiology Research Laboratory, Western Psychiatric Hospital, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Dean F Salisbury
- Clinical Neurophysiology Research Laboratory, Western Psychiatric Hospital, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
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32
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Saatci Ö, Yüksel Aslier NG, Arici Düz Ö. Efficacy of caloric vestibular stimulation for the treatment of idiopathic tinnitus. Journal of Surgery and Medicine 2020; 4:1041-1045. [DOI: 10.28982/josam.809898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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33
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Pinheiro AP, Schwartze M, Kotz SA. Cerebellar circuitry and auditory verbal hallucinations: An integrative synthesis and perspective. Neurosci Biobehav Rev 2020; 118:485-503. [DOI: 10.1016/j.neubiorev.2020.08.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Revised: 06/30/2020] [Accepted: 08/07/2020] [Indexed: 02/06/2023]
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Lan L, Li J, Chen Y, Chen W, Li W, Zhao F, Chen G, Liu J, Chen Y, Li Y, Wang CD, Zheng Y, Cai Y. Alterations of brain activity and functional connectivity in transition from acute to chronic tinnitus. Hum Brain Mapp 2020; 42:485-494. [PMID: 33090584 PMCID: PMC7776005 DOI: 10.1002/hbm.25238] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [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: 07/19/2020] [Revised: 09/04/2020] [Accepted: 09/29/2020] [Indexed: 02/06/2023] Open
Abstract
The objective of this study was to investigate alterations to brain activity and functional connectivity in patients with tinnitus, exploring neural features in the transition from acute to chronic phantom perception. Twenty‐four patients with acute tinnitus, 23 patients with chronic tinnitus, and 32 healthy controls were recruited. High‐density electroencephalography (EEG) was used to explore changes in brain areas and functional connectivity in different groups. When compared with healthy subjects, acute tinnitus patients had a significant reduction in superior frontal cortex activity across all frequency bands, whereas chronic tinnitus patients had a significant reduction in the superior frontal cortex at beta 3 and gamma frequency bands as well as a significant increase in the inferior frontal cortex at delta‐band and superior temporal cortex at alpha 1 frequency band. When compared to the chronic tinnitus group, the acute tinnitus group activity was significantly increased in the middle frontal and parietal gyrus at the gamma‐band. Functional connectivity analysis showed that the chronic tinnitus group had increased connections between the parahippocampus gyrus, posterior cingulate cortex, and precuneus when compared with the healthy group. Alterations of local brain activity and connections between the parahippocampus gyrus and other nonauditory areas appeared in the transition from acute to chronic tinnitus. This indicates that the appearance and development of tinnitus is a dynamic process involving aberrant local neural activity and abnormal connectivity in multifunctional brain networks.
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Affiliation(s)
- Liping Lan
- Department of Otolaryngology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou City, Guangdong Province, China.,Institute of Hearing and Speech-Language Science, Sun Yat-sen University, Guangzhou City, Guangdong Province, China
| | - Jiahong Li
- Department of Otolaryngology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou City, Guangdong Province, China.,Institute of Hearing and Speech-Language Science, Sun Yat-sen University, Guangzhou City, Guangdong Province, China
| | - Yanhong Chen
- Department of Otolaryngology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou City, Guangdong Province, China.,Institute of Hearing and Speech-Language Science, Sun Yat-sen University, Guangzhou City, Guangdong Province, China
| | - Wan Chen
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Wenrui Li
- Department of Otolaryngology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou City, Guangdong Province, China.,Institute of Hearing and Speech-Language Science, Sun Yat-sen University, Guangzhou City, Guangdong Province, China
| | - Fei Zhao
- Department of Speech and Language Therapy and Hearing Science, Cardiff Metropolitan University, Cardiff, UK.,Department of Hearing and Speech Science, Xinhua College, Sun Yat-Sen University, Guangzhou, China
| | - Guisheng Chen
- Department of Otolaryngology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou City, Guangdong Province, China.,Institute of Hearing and Speech-Language Science, Sun Yat-sen University, Guangzhou City, Guangdong Province, China
| | - Jiahao Liu
- Department of Otolaryngology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou City, Guangdong Province, China.,Institute of Hearing and Speech-Language Science, Sun Yat-sen University, Guangzhou City, Guangdong Province, China
| | - Yuchen Chen
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Yuanqing Li
- School of Automation Science and Engineering, South China University of Technology, Guangzhou, China
| | - Chang-Dong Wang
- School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China
| | - Yiqing Zheng
- Department of Otolaryngology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou City, Guangdong Province, China.,Institute of Hearing and Speech-Language Science, Sun Yat-sen University, Guangzhou City, Guangdong Province, China
| | - Yuexin Cai
- Department of Otolaryngology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou City, Guangdong Province, China.,Institute of Hearing and Speech-Language Science, Sun Yat-sen University, Guangzhou City, Guangdong Province, China
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Yu YJ, Liang RB, Yang QC, Ge QM, Li QY, Li B, Shi WQ, Shao Y. Altered Spontaneous Brain Activity Patterns in Patients After Lasik Surgery Using Amplitude of Low-Frequency Fluctuation: A Resting-State Functional MRI Study. Neuropsychiatr Dis Treat 2020; 16:1907-1917. [PMID: 32821107 PMCID: PMC7423348 DOI: 10.2147/ndt.s252850] [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] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2020] [Accepted: 06/28/2020] [Indexed: 01/18/2023] Open
Abstract
OBJECTIVE Previous studies demonstrated that myopia could result in alterations of brain activity in specific areas. However, whether the visual function could improve by Lasik surgery, with the brain activity alterations also change, is still unknown. Here, we intended to use the amplitude of low-frequency fluctuation (ALFF) technique to investigate the intrinsic brain activity changes in pre-Lasik (PRL) and post-Lasik (POL) patients. METHODS A total of 15 patients with myopia (nine male and six female) were recruited in our study, who were matched according to age, weight, and height. These patients comprised both the PRL and POL groups, which is self-controlled. The patients all underwent resting-state functional magnetic resonance imaging (MRI), and the spontaneous brain activity changes were recorded by the ALFF technique. The data were recorded and arranged in the receiver operating characteristic (ROC) curve, which presented how intrinsic activities altered in different brain regions. Moreover, by Graphpad prism 8, we can analyze the linear correlation between HADS (Hospital Anxiety and Depression Scale) and ALFF values as well. RESULTS Differences in ALFF values existed in brain regions between the same patient before and after the Lasik operation. The regions with increased ALFF values after Lasik surgery were the left parahippocampal gyrus, cerebellar vermis, and left posterior cingulate cortex. The regions with decreased ALFF values after Lasik surgery were the left supramarginal gyrus and right trigonometric inferior frontal gyrus. CONCLUSION We demonstrated significant fluctuations of ALFF values in specific brain areas between the same patients before and after the Lasik surgery. The altered ALFF values reflected the hyperactivity or hypoactivity of the specific brain areas, which may help predict the recovery level of patients' vision after Lasik surgery. Furthermore, based on the experimental results that presented significant activity alterations in specific brian regions, patients could be speculated equipped with a better visual function.
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Affiliation(s)
- Ya-Jie Yu
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang330006, Jiangxi, People’s Republic of China
| | - Rong-Bin Liang
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang330006, Jiangxi, People’s Republic of China
| | - Qi-Chen Yang
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong999077, People’s Republic of China
| | - Qian-Min Ge
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang330006, Jiangxi, People’s Republic of China
| | - Qiu-Yu Li
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang330006, Jiangxi, People’s Republic of China
| | - Biao Li
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang330006, Jiangxi, People’s Republic of China
| | - Wen-Qing Shi
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang330006, Jiangxi, People’s Republic of China
| | - Yi Shao
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang330006, Jiangxi, People’s Republic of China
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Hu DK, Li LY, Lopour BA, Martin EA. Schizotypy dimensions are associated with altered resting state alpha connectivity. Int J Psychophysiol 2020; 155:175-183. [PMID: 32599002 DOI: 10.1016/j.ijpsycho.2020.06.012] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [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: 03/20/2020] [Revised: 05/27/2020] [Accepted: 06/22/2020] [Indexed: 11/16/2022]
Abstract
The disconnection hypothesis of schizophrenia says that symptoms are explained by dysfunctional connections across a wide range of brain networks. Despite some support for this hypothesis, there have been mixed findings. One reason for these may be the multidimensional nature of schizophrenia symptoms. In order to clarify the relationship between symptoms and brain networks, the current study included individuals at risk for schizophrenia-spectrum disorders who either report extreme levels of positive schizotypy traits (perceptual aberrations and magical ideation, or "PerMag"; n = 23), or an extreme negative schizotypy trait (social anhedonia, or "SocAnh"; n = 19), as well as a control group (n = 18). Resting-state alpha electroencephalography was collected, and functional networks for each subject were measured using the phase-lag index to calculate the connectivity between channel pairs based on the symmetry of instantaneous phase differences over time. Furthermore, graph theory measures were introduced to identify network features exclusive to schizotypy groups. We found that the PerMag group exhibited a smaller difference in node strength and clustering coefficient in frontal/occipital and central/occipital regional comparisons compared to controls, suggesting a more widespread network. The SocAnh group exhibited a larger difference in degree in the central/occipital regional comparison relative to controls, suggesting a localized occipital focus in the connectivity network. Regional differences in functional connectivity suggest that different schizotypy dimensions are manifested at the network level by different forms of disconnections. Taken together, these findings lend further support to the disconnection hypothesis and suggest that altered connectivity networks may serve as a potential biomarker for schizophrenia risk.
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Affiliation(s)
- Derek K Hu
- Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, USA
| | - Lilian Y Li
- Department of Psychological Science, University of California, Irvine, Irvine, CA, USA
| | - Beth A Lopour
- Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, USA
| | - Elizabeth A Martin
- Department of Psychological Science, University of California, Irvine, Irvine, CA, USA.
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Cachia A, Cury C, Brunelin J, Plaze M, Delmaire C, Oppenheim C, Medjkane F, Thomas P, Jardri R. Deviations in early hippocampus development contribute to visual hallucinations in schizophrenia. Transl Psychiatry 2020; 10:102. [PMID: 32214096 PMCID: PMC7096500 DOI: 10.1038/s41398-020-0779-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [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: 07/22/2019] [Revised: 02/17/2020] [Accepted: 02/26/2020] [Indexed: 01/06/2023] Open
Abstract
Auditory hallucinations (AHs) are certainly the most emblematic experiences in schizophrenia, but visual hallucinations (VHs) are also commonly observed in this developmental psychiatric disorder. Notably, several studies have suggested a possible relationship between the clinical variability in hallucinations' phenomenology and differences in brain development/maturation. In schizophrenia, impairments of the hippocampus, a medial temporal structure involved in mnesic and neuroplastic processes, have been repeatedly associated with hallucinations, particularly in the visual modality. However, the possible neurodevelopmental origin of hippocampal impairments in VHs has never been directly investigated. A classic marker of early atypical hippocampal development is incomplete hippocampal inversion (IHI). In this study, we compared IHI patterns in healthy volunteers, and two subgroups of carefully selected schizophrenia patients experiencing frequent hallucinations: (a) those with pure AHs and (b) those with audio-visual hallucinations (A+VH). We found that VHs were associated with a specific IHI pattern. Schizophrenia patients with A+VH exhibited flatter left hippocampi than patients with pure AHs or healthy controls. This result first confirms that the greater clinical impairment observed in A+VH patients may relate to an increased neurodevelopmental weight in this subpopulation. More importantly, these findings bring crucial hints to better specify the sensitivity period of A+VH-related IHI during early brain development.
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Affiliation(s)
- Arnaud Cachia
- Université de Paris, Institut de Psychiatrie et Neurosciences de Paris, INSERM, GHU Paris psychiatrie & neurosciences, F-75005, Paris, France. .,Université de Paris, Laboratoire de Psychologie du développement et de l'Education de l'Enfant, CNRS, F-75005, Paris, France. .,Institut Universitaire de France, Paris, France.
| | - Claire Cury
- grid.83440.3b0000000121901201Department of Medical Physics and Biomedical Engineering, University College, London, UK ,grid.410368.80000 0001 2191 9284Univ Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, EMPENN — ERL U 1228, F-35000 Rennes, France
| | - Jérôme Brunelin
- grid.25697.3f0000 0001 2172 4233INSERM U 1028, CNRS UMR-5292, Lyon Neuroscience Research Center, PSYR2 Team, Université de Lyon, CH le Vinatier, Lyon, France
| | - Marion Plaze
- Université de Paris, Institut de Psychiatrie et Neurosciences de Paris, INSERM, GHU Paris psychiatrie & neurosciences, F-75005 Paris, France
| | - Christine Delmaire
- grid.410463.40000 0004 0471 8845CHU Lille, Salengro Hospital, Neuroradiology dpt, 59000 Lille, France
| | - Catherine Oppenheim
- Université de Paris, Institut de Psychiatrie et Neurosciences de Paris, INSERM, GHU Paris psychiatrie & neurosciences, F-75005 Paris, France
| | - François Medjkane
- grid.410463.40000 0004 0471 8845CHU Lille, Hôpital Fontan, Plateforme CIC - CURE, 59000 Lille, France ,Univ Lille, INSERM U-1172, CHU Lille, Lille Neuroscience & Cognition Centre (LiNC), Plasticity & SubjectivitY (PSY) team, 59000 Lille, France
| | - Pierre Thomas
- grid.410463.40000 0004 0471 8845CHU Lille, Hôpital Fontan, Plateforme CIC - CURE, 59000 Lille, France ,Univ Lille, INSERM U-1172, CHU Lille, Lille Neuroscience & Cognition Centre (LiNC), Plasticity & SubjectivitY (PSY) team, 59000 Lille, France
| | - Renaud Jardri
- grid.410463.40000 0004 0471 8845CHU Lille, Hôpital Fontan, Plateforme CIC - CURE, 59000 Lille, France ,Univ Lille, INSERM U-1172, CHU Lille, Lille Neuroscience & Cognition Centre (LiNC), Plasticity & SubjectivitY (PSY) team, 59000 Lille, France
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Abstract
Perceptual disturbances in psychosis, such as auditory verbal hallucinations, are associated with increased baseline activity in the associative auditory cortex and increased dopamine transmission in the associative striatum. Perceptual disturbances are also associated with perceptual biases that suggest increased reliance on prior expectations. We review theoretical models of perceptual inference and key supporting physiological evidence, as well as the anatomy of associative cortico-striatal loops that may be relevant to auditory perceptual inference. Integrating recent findings, we outline a working framework that bridges neurobiology and the phenomenology of perceptual disturbances via theoretical models of perceptual inference.
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BAHADIR A. Applications of Functional Near-Infrared Spectroscopy (fNIRS)- Based Neurofeedback (NF) Training in Neurophsychiatric Disorders. Konuralp Tıp Dergisi 2020. [DOI: 10.18521/ktd.670281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Gao J, Zhang D, Wang L, Wang W, Fan Y, Tang M, Zhang X, Lei X, Wang Y, Yang J, Zhang X. Altered Effective Connectivity in Schizophrenic Patients With Auditory Verbal Hallucinations: A Resting-State fMRI Study With Granger Causality Analysis. Front Psychiatry 2020; 11:575. [PMID: 32670108 PMCID: PMC7327618 DOI: 10.3389/fpsyt.2020.00575] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [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: 03/31/2020] [Accepted: 06/05/2020] [Indexed: 11/13/2022] Open
Abstract
PURPOSE Auditory verbal hallucinations (AVH) are among the most common and prominent symptoms of schizophrenia. Although abnormal functional connectivity associated with AVH has been reported in multiple regions, the changes in information flow remain unclear. In this study, we aimed to elucidate causal influences related to AVH in key regions of auditory, language, and memory networks, by using Granger causality analysis (GCA). PATIENTS AND METHODS Eighteen patients with schizophrenia with AVH and eighteen matched patients without AVH who received resting-state fMRI scans were enrolled in the study. The bilateral superior temporal gyrus (STG), Broca's area, Wernicke's area, putamen, and hippocampus were selected as regions of interest. RESULTS Granger causality (GC) increased from Broca's area to the left STG, and decreased from the right homolog of Wernicke's area to the right homolog of Broca's area, and from the right STG to the right hippocampus in the AVH group compared with the non-AVH group. Correlation analysis showed that the normalized GC ratios from the left STG to Broca's area, from the left STG to the right homolog of Broca's area, and from the right STG to the right homolog of Broca's area were negatively correlated with severity of AVH, and the normalized GC ratios from Broca's area to the left hippocampus and from Broca's area to the right STG were positively correlated with severity of AVH. CONCLUSION Our findings indicate a causal influence of pivotal regions involving the auditory, language, and memory networks in schizophrenia with AVH, which provide a deeper understanding of the neural mechanisms underlying AVH.
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Affiliation(s)
- Jie Gao
- Department of MRI, Shaanxi Provincial People's Hospital, Xi'an, China
| | - Dongsheng Zhang
- Department of MRI, Shaanxi Provincial People's Hospital, Xi'an, China
| | - Lei Wang
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Wei Wang
- Department of Psychiatry, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Yajuan Fan
- Department of Psychiatry, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Min Tang
- Department of MRI, Shaanxi Provincial People's Hospital, Xi'an, China
| | - Xin Zhang
- Department of MRI, Shaanxi Provincial People's Hospital, Xi'an, China
| | - Xiaoyan Lei
- Department of MRI, Shaanxi Provincial People's Hospital, Xi'an, China
| | - Yarong Wang
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jian Yang
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Xiaoling Zhang
- Department of MRI, Shaanxi Provincial People's Hospital, Xi'an, China
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Cruz LN, Del Pozzo J, Zar T, Hansen M. Phenomenology of Voice-Hearing in Psychosis Spectrum Disorders: a Review of Neural Mechanisms. Curr Behav Neurosci Rep 2019; 6:243-52. [DOI: 10.1007/s40473-019-00196-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Abstract
OBJECTIVE Integration of multiple datasets is a hot topic in many fields. When studying complex mental disorders, great effort has been dedicated to fusing genetic and brain imaging data. However, an increasing number of studies have pointed out the importance of epigenetic factors in the cause of psychiatric diseases. In this study, we endeavor to fill the gap by combining epigenetics (e.g., DNA methylation) with imaging data (e.g., fMRI) to identify biomarkers for schizophrenia (SZ). METHODS We propose to combine linear regression with canonical correlation analysis (CCA) in a relaxed yet coupled manner to extract discriminative features for SZ that are co-expressed in the fMRI and DNA methylation data. RESULT After validation through simulations, we applied our method to real imaging epigenetics data of 184 subjects from the Mental Illness and Neuroscience Discovery Clinical Imaging Consortium. After significance test, we identified 14 brain regions and 44 cytosine-phosphate-guanine(CpG) sites. Average classification accuracy is [Formula: see text]. By linking the CpG sites to genes, we identified pathways Guanosine ribonucleotides de novo biosynthesis and Guanosine nucleotides de novo biosynthesis, and a GO term Perikaryon. CONCLUSION This imaging epigenetics study has identified both brain regions and genes that are associated with neuron development and memory processing. These biomarkers contribute to a good understanding of the mechanism underlying SZ but are overlooked by previous imaging genetics studies. SIGNIFICANCE Our study sheds light on the understanding and diagnosis of SZ with a imaging epigenetics approach, which is demonstrated to be effective in extracting novel biomarkers associated with SZ.
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Storchak H, Hudak J, Fallgatter AJ, Ehlis AC. Entwicklung eines Neurofeedback-Protokolls zur Reduktion verbal akustischer Halluzinationen. Psychotherapeut 2019. [DOI: 10.1007/s00278-019-0353-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Liang S, Li Y, Zhang Z, Kong X, Wang Q, Deng W, Li X, Zhao L, Li M, Meng Y, Huang F, Ma X, Li XM, Greenshaw AJ, Shao J, Li T. Classification of First-Episode Schizophrenia Using Multimodal Brain Features: A Combined Structural and Diffusion Imaging Study. Schizophr Bull 2019; 45:591-599. [PMID: 29947804 PMCID: PMC6483586 DOI: 10.1093/schbul/sby091] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [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: 02/05/2023]
Abstract
Recent neuroanatomical pattern recognition studies have shown some promises for developing an objective neuroimaging-based classification related to schizophrenia. This study explored the feasibility of reliably identifying schizophrenia using single and multimodal multivariate neuroimaging features. Multiple brain measures including regional gray matter (GM) volume, cortical thickness, gyrification, fractional anisotropy (FA), and mean diffusivity (MD) were extracted using fully automated procedures. We used Gradient Boosting Decision Tree to identify the most frequently selected features of each set of neuroanatomical metric and fused multimodal measures. The current classification model was trained and validated based on 98 patients with first-episode schizophrenia (FES) and 106 matched healthy controls (HCs). The classification model was trained and tested in an independent dataset of 54 patients with FES and 48 HCs using imaging data acquired on a different magnetic resonance imaging scanner. Using the most frequently selected features from fused structural and diffusion tensor imaging metrics, a classification accuracy of 75.05% was achieved, which was higher than accuracy derived from a single imaging metric. Most prominent discriminative features included cortical thickness of left transverse temporal gyrus and right parahippocampal gyrus, the FA of left corticospinal tract and right external capsule. In the independent cohort, average accuracy was 76.54%, derived from combined features selected from cortical thickness, gyrification, FA, and MD. These features characterized by GM abnormalities and white matter disruptions have discriminative power with respect to the underlying pathological changes in the brain of individuals having schizophrenia. Our results further highlight the potential advantage of multimodal data fusion for identifying schizophrenia.
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Affiliation(s)
- Sugai Liang
- Mental Health Centre and Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China,West China Brain Research Centre, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yinfei Li
- Mental Health Centre and Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China,West China Brain Research Centre, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Zhong Zhang
- Big Data Research Center, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China
| | - Xiangzhen Kong
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Qiang Wang
- Mental Health Centre and Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Wei Deng
- Mental Health Centre and Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China,West China Brain Research Centre, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xiaojing Li
- Mental Health Centre and Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Liansheng Zhao
- Mental Health Centre and Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Mingli Li
- Mental Health Centre and Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yajing Meng
- Mental Health Centre and Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Feng Huang
- Big Data Research Center, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China
| | - Xiaohong Ma
- Mental Health Centre and Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xin-min Li
- Department of Psychiatry, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, AB, Canada
| | - Andrew J Greenshaw
- Department of Psychiatry, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, AB, Canada
| | - Junming Shao
- Big Data Research Center, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China
| | - Tao Li
- Mental Health Centre and Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China,West China Brain Research Centre, West China Hospital, Sichuan University, Chengdu, Sichuan, China,To whom correspondence should be addressed; West China Mental Health Centre, West China Hospital, Sichuan University, No. 28th Dianxin Nan Str., Chengdu, Sichuan 610041, China; tel.: 86-28-85423561, fax: 86-28-85422632, e-mail:
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Chen X, Ji GJ, Zhu C, Bai X, Wang L, He K, Gao Y, Tao L, Yu F, Tian Y, Wang K. Neural Correlates of Auditory Verbal Hallucinations in Schizophrenia and the Therapeutic Response to Theta-Burst Transcranial Magnetic Stimulation. Schizophr Bull 2019; 45:474-483. [PMID: 29733409 PMCID: PMC6403092 DOI: 10.1093/schbul/sby054] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [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] [Indexed: 12/15/2022]
Abstract
Auditory verbal hallucinations (AVHs) are a core symptom of schizophrenia, and resistant to antipsychotic medication in a substantial proportion of patients. This study aimed to investigate the neural correlates of AVHs in schizophrenia patients and its response to a modified continuous theta-burst stimulation (cTBS) by transcranial magnetic stimulation. In a cross-sectional experiment, resting-state functional magnetic resonance images were collected from 31 AVH schizophrenia patients, 26 non-AVH schizophrenia patients, and 33 sex-/age-matched healthy controls (HCs). Functional connectivity strength (FCS) maps were compared among groups by 1-way analysis of variance (ANOVA). In a longitudinal experiment, 16 and 11 AVH patients received real and sham cTBS treatment for 15 days, respectively. Notably, this was not a randomized control trail. Changes in AVH and FCS were analyzed by 2-way ANOVA and 2-sample t-test, respectively. In the cross-sectional experiment, comparison of FCS maps identified 8 clusters among groups, but only one cluster (in left cerebellum) differed significantly in AVH patients compared to both HCs and non-AVH patients. In the longitudinal experiment, the real cTBS group showed a greater improvement in symptoms and a larger FCS decrease in left cerebellum than the sham group. Pearson's correlation analysis indicated that baseline FCS of the overlapping cerebellum cluster (between the cross-sectional and longitudinal findings) was negatively correlated with symptom improvement in the real treatment group. These findings emphasize the role of the left cerebellum in both the pathophysiology and clinical treatment of AVHs in schizophrenia patients.
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Affiliation(s)
- Xingui Chen
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China,Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Anhui Province, China,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Gong-Jun Ji
- Department of Medical Psychology, Chaohu Clinical Medical College, Anhui Medical University, Hefei, China
| | - Chunyan Zhu
- Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Anhui Province, China,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China,Department of Medical Psychology, Chaohu Clinical Medical College, Anhui Medical University, Hefei, China
| | - Xiaomeng Bai
- Department of Medical Psychology, Chaohu Clinical Medical College, Anhui Medical University, Hefei, China
| | - Lu Wang
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China
| | | | - Yaxiang Gao
- Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Anhui Province, China
| | - Longxiang Tao
- Department of Radiology, the First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Fengqiong Yu
- Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Anhui Province, China,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China,Department of Medical Psychology, Chaohu Clinical Medical College, Anhui Medical University, Hefei, China
| | - Yanghua Tian
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China,Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Anhui Province, China,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China,Department of Medical Psychology, Chaohu Clinical Medical College, Anhui Medical University, Hefei, China
| | - Kai Wang
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China,Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Anhui Province, China,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China,Department of Medical Psychology, Chaohu Clinical Medical College, Anhui Medical University, Hefei, China,To whom correspondence should be addressed; Laboratory of Cognitive Neuropsychology, Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei 230032, China; tel: +86-551-62923704, fax: +86-551-62922418, e-mail:
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Storchak H, Hudak J, Haeussinger FB, Rosenbaum D, Fallgatter AJ, Ehlis AC. Reducing auditory verbal hallucinations by means of fNIRS neurofeedback - A case study with a paranoid schizophrenic patient. Schizophr Res 2019; 204:401-403. [PMID: 30269928 DOI: 10.1016/j.schres.2018.09.018] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2018] [Revised: 09/10/2018] [Accepted: 09/16/2018] [Indexed: 11/27/2022]
Affiliation(s)
- Helena Storchak
- Psychophysiology and Optical Imaging, Department of Psychiatry and Psychotherapy, University Hospital Tübingen, Calwerstr. 14, 72076 Tübingen, Germany.
| | - Justin Hudak
- Psychophysiology and Optical Imaging, Department of Psychiatry and Psychotherapy, University Hospital Tübingen, Calwerstr. 14, 72076 Tübingen, Germany; LEAD Graduate School & Research Network, University of Tübingen, Gartenstr. 29, 72074 Tübingen, Germany
| | - Florian B Haeussinger
- Psychophysiology and Optical Imaging, Department of Psychiatry and Psychotherapy, University Hospital Tübingen, Calwerstr. 14, 72076 Tübingen, Germany
| | - David Rosenbaum
- Psychophysiology and Optical Imaging, Department of Psychiatry and Psychotherapy, University Hospital Tübingen, Calwerstr. 14, 72076 Tübingen, Germany
| | - Andreas J Fallgatter
- Psychophysiology and Optical Imaging, Department of Psychiatry and Psychotherapy, University Hospital Tübingen, Calwerstr. 14, 72076 Tübingen, Germany; LEAD Graduate School & Research Network, University of Tübingen, Gartenstr. 29, 72074 Tübingen, Germany; Werner Reichardt Centre for Integrative Neuroscience (CIN), University of Tübingen, Otfried-Mueller-Str. 25, 72076 Tübingen, Germany
| | - Ann-Christine Ehlis
- Psychophysiology and Optical Imaging, Department of Psychiatry and Psychotherapy, University Hospital Tübingen, Calwerstr. 14, 72076 Tübingen, Germany; LEAD Graduate School & Research Network, University of Tübingen, Gartenstr. 29, 72074 Tübingen, Germany
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Zheng W, Peng Z, Pengfei Z, Jing L, Heyu D, Hongxia Y, Yawen L, Zhengyu Z, Shusheng G, Zhenghan Y, Han L, Zhenchang W. Long-term reactions to pulsatile tinnitus are marked by weakened short-range functional connectivity within a brain network in the right temporal lobe. J Magn Reson Imaging 2018; 49:1629-1637. [PMID: 30575157 DOI: 10.1002/jmri.26545] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [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: 07/17/2018] [Revised: 09/29/2018] [Accepted: 10/02/2018] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND There have been recent efforts to characterize brain functional activity features in patients with pulsatile tinnitus (PT). These efforts have revealed evidence of aberrant functional connectivity (FC) of the right middle temporal gyrus (MTG) in PT patients with prolonged disease duration. PURPOSE To assess the possible predictive effect of aberrant FC of MTG in PT patients with prolonged disease duration. STUDY TYPE Retrospective. POPULATION Thirty-four patients with recent-onset PT (RPTIN), 24 patients with long-term PT (LPTIN), and 35 age-, gender-, and education-matched healthy controls were enrolled. FIELD STRENGTH/SEQUENCE 3.0T MRI system and echo-planar imaging (EPI) sequence, 3D brain volume imaging (BRAVO) sequence. ASSESSMENT Functional MRI data preprocessing was performed in Data Processing & Analysis for Brain Imaging (DPABI) and Statistical Parametric Mapping (SPM) 8. The FC analyses were conducted using the software REST. STATISTICAL TESTS One-way analysis of covariance was conducted between three groups with age and gender as covariates, and post-hoc analysis was used to identify the sources of group effects. Pearson's correlation analysis was conducted for the z-values of altered FC strength in the PT group and the clinical data. RESULTS Among hubs belonging to the executive control network, the default mode network (DMN), and limbic network, the strength of FC was mainly decreased in the patient groups compared with normal controls (P < 0.05). Relative to RPTIN patients and normal controls, LPTIN patients were further characterized by significantly decreased FC between several short-range brain regions adjacent to the seed (P < 0.05). Finally, disease duration was negatively correlated with decreased FC between the seed and right fusiform gyrus/parahippocampal gyrus, right inferior frontal gyrus, and right MTG (a brain area adjacent to the seed region). DATA CONCLUSION Long-term reactions to PT mainly involved weakened short-range FC, especially within a functional network in the right temporal lobe. LEVEL OF EVIDENCE 4 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018.
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Affiliation(s)
- Wang Zheng
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, P.R. China
| | - Zhang Peng
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, P.R. China
| | - Zhao Pengfei
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, P.R. China
| | - Li Jing
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, P.R. China
| | - Ding Heyu
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, P.R. China
| | - Yin Hongxia
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, P.R. China
| | - Liu Yawen
- School of Biological Science and Medical Engineering, Beihang University, Beijing, P.R. China
| | - Zhang Zhengyu
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, P.R. China
| | - Gong Shusheng
- Department of Otolaryngology Head and Neck Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, P.R. China
| | - Yang Zhenghan
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, P.R. China
| | - Lv Han
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, P.R. China
| | - Wang Zhenchang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, P.R. China
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Abstract
Objectives:Schizophrenia is a predominant product of pathological alterations distributed throughout interconnected neural systems. Functional connections (FCs) methodology is an effective lever to investigate macroscopic neural activity patterns underlying critical aspects of cognition and behaviour. However, region properties of brain architecture have been less investigated by special markers of dynamical graph in general mental disorders. Methods:Embracing the eigenvector centrality in holism significance, our important process is to uncover noticeable edges and regions with antagonistic stance between morbid and normal FCs of 67 healthy controls (HCs) and 53 chronic schizophrenia patients (SZs). Results: Results suggest that, there are 12 abnormal edges with significant p value of FCs weight, such as lingual gyrus L versus cuneus L, thalamus L versus middle frontal gyrus R, superior temporal gyrus R versus thalamus R. Importantly, SZs' superior temporal gyrus R, parahippocampal gyrus L and parahippocampal gyrus R are endowed with different eigenvector centrality scores. Conclusion: Consistent with SZs' positive symptoms of hallucinations, and negative symptoms of thinking impairment, it can be infer that the functional separation and integration are destroyed in schizophrenia. Thought the strict contrastive study, it is worth stressing that eigenvector centrality is a meaningful biological marker to excavating schizophrenic psychopathology.
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Affiliation(s)
- Bo Chen
- a School of Science , Hangzhou Dianzi University , Hangzhou , PR China
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49
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Chen B. Abnormal cortical region and subsystem complexity in dynamical functional connectivity of chronic schizophrenia: A new graph index for fMRI analysis. J Neurosci Methods 2018; 311:28-37. [PMID: 30316890 DOI: 10.1016/j.jneumeth.2018.10.011] [Citation(s) in RCA: 4] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2018] [Revised: 10/10/2018] [Accepted: 10/10/2018] [Indexed: 11/28/2022]
Abstract
OBJECTIVES Schizophrenia is a predominant product of pathological alterations distributed throughout interconnected neural systems. Designing new objectively diagnostic methods are burning questions. Dynamical functional connectivity (DFCs) methodology based on fMRI data is an effective lever to investigate changeability evolution in macroscopic neural activity patterns underlying critical aspects of cognition and behavior. However, region properties of brain architecture have been less investigated by special indexes of dynamical graph in general mental disorders. METHODS Embracing the network dynamics concept, we introduce topology entropy index (TE-scores) which is focused on time-varying aspects of FCs, hence develop a new framework for researching the dysfunctional roots of schizophrenia in holism significance. In this work, the important process is to uncover noticeable regions endowed with antagonistic stance in TE-scores of between morbid and normal DFCs of 63 healthy controls (HCs) and 57 chronic schizophrenia patients (SZs). RESULTS For the whole brain region levels, right olfactory, right hippocampus, left parahippocampal gyrus, right parahippocampal gyrus, left amygdala, and left cuneus in SZs are endowed with significantly different TE-scores. At brain subsystems level, TE-scores in DMN are abnormal in the SZs. Comparison with existing method(s): Topology entropy in DFCs is introduced to explore the dynamical information organization of diverse regions and their abnormal changes in mental illness. Several classical graph indexes (such as degree strength, betweenness, centrality) in the static brain network measure the region importance of FCs under senses of information integration and separation process. Although highly related to degree strength by comparing the corresponding values, topology entropy further explores the regions' aberrant adaptability of functional contact and function switching. CONCLUSION TE-scores of abnormal regions in SZs are associated to the passive apathetic social withdrawal, unusual thought content, disturbance of volition, preoccupation, active social avoidance and hallucinatory symptoms. Thought the strict contrastive study, it is worth stressing that topology entropy is a meaningful biological marker to excavating schizophrenic psychopathology.
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Affiliation(s)
- Bo Chen
- School of Science, Hangzhou Dianzi University, Hangzhou, Zhejiang, 310018, PR China.
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50
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Looijestijn J, Blom JD, Hoek HW, Renken R, Liemburg E, Sommer IEC, Aleman A, Goekoop R. Draining the pond and catching the fish: Uncovering the ecosystem of auditory verbal hallucinations. Neuroimage Clin 2018; 20:830-843. [PMID: 30273840 PMCID: PMC6169251 DOI: 10.1016/j.nicl.2018.09.016] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Revised: 09/09/2018] [Accepted: 09/18/2018] [Indexed: 12/18/2022]
Abstract
The various models proposed for the mediation of auditory verbal hallucinations (AVH) implicate a considerable number of brain areas and mechanisms. To establish which of those mechanisms are actually involved in the mediation of AVH, we developed a novel method to analyze functional MRI data, which allows for the detection of the full network of mutually interacting brain states, and the identification of those states that are relevant to the mediation of AVH, while applying a minimum number of preconceived assumptions. This method is comparable to the draining of a pond to lay bare the full ecosystem that affects the presence of a particular fish species. We used this model to analyze the fMRI data of 85 psychotic patients experiencing AVH. The data were decomposed into 98 independent components (ICs) representing all major functions active in the brain during scanning. ICs involved in mediating AVH were identified by associating their time series with the hallucination time series as provided by subjects within the scanner. Using graph theory, a network of interacting ICs was created, which was clustered into IC modules. We used causal reasoning software to determine the direction of links in this network, and discover the chain of events that leads to the conscious experience of hallucinations. Hallucinatory activity was linked to three of the seven IC clusters and 11 of the 98 ICs. ICs with the most influential roles in producing AVH-related activity were those within the so-called salience network (comprising the anterior cingulate gyrus, right insula, Broca's homologue, premotor cortex, and supramarginal gyrus). Broca's area and the cerebellar regions were significantly, but more distantly involved in the mediation of AVH. These results support the notion that AVH are largely mediated by the salience network. We therefore propose that the mediation of AVH in the context of schizophrenia spectrum disorders involves the attribution of an excess of negative salience by anterior-cingulate areas to linguistic input from Broca's right homologue, followed by subsequent processing errors in areas further 'downstream' the causal chain of events. We provide a detailed account of the origin of AVH for this patient group, and make suggestions for selective interventions directed at the most relevant brain areas.
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Affiliation(s)
- Jasper Looijestijn
- Parnassia Psychiatric Institute, Kiwistraat 43, 2552 DH The Hague, the Netherlands; Neuroimaging Center, University Medical Center Groningen, University of Groningen, Antonius Deusinglaan 2, 9713 AW Groningen, the Netherlands.
| | - Jan Dirk Blom
- Parnassia Psychiatric Institute, Kiwistraat 43, 2552 DH The Hague, the Netherlands; Department of Psychiatry, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9700 RB Groningen, the Netherlands; Faculty of Social and Behavioural Sciences, Leiden University, Wassenaarseweg 52, 2333 AK Leiden, the Netherlands
| | - Hans W Hoek
- Parnassia Psychiatric Institute, Kiwistraat 43, 2552 DH The Hague, the Netherlands; Department of Psychiatry, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9700 RB Groningen, the Netherlands; Department of Epidemiology, Columbia University, 722 West 168th St, New York, NY, USA
| | - Remco Renken
- Neuroimaging Center, University Medical Center Groningen, University of Groningen, Antonius Deusinglaan 2, 9713 AW Groningen, the Netherlands
| | - Edith Liemburg
- Neuroimaging Center, University Medical Center Groningen, University of Groningen, Antonius Deusinglaan 2, 9713 AW Groningen, the Netherlands; Department of Psychiatry, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9700 RB Groningen, the Netherlands
| | - Iris E C Sommer
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9700 RB Groningen, the Netherlands; Psychiatry Department, University Medical Center Utrecht & Rudolf Magnus Institute for Neuroscience, Utrecht, the Netherlands
| | - André Aleman
- Neuroimaging Center, University Medical Center Groningen, University of Groningen, Antonius Deusinglaan 2, 9713 AW Groningen, the Netherlands
| | - Rutger Goekoop
- Parnassia Psychiatric Institute, Kiwistraat 43, 2552 DH The Hague, the Netherlands
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