1
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Usha KC, Suma HN, Appaji A. Regional-based static and dynamic alterations in Alzheimer disease: a longitudinal study. ARQUIVOS DE NEURO-PSIQUIATRIA 2024; 82:1-11. [PMID: 38977265 DOI: 10.1055/s-0044-1787761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
BACKGROUND Alzheimer disease (AD) leads to cognitive decline and alters functional connectivity (FC) in key brain regions. Resting-state functional magnetic resonance imaging (rs-fMRI) assesses these changes using static-FC for overall correlation and dynamic-FC for temporal variability. OBJECTIVE In AD, there is altered FC compared to normal conditions. The present study investigates possible region-specific functional abnormalities occurring longitudinally over 1 year. Our aim is to evaluate the potential usefulness of the static and dynamic approaches in identifying biomarkers of AD progression. METHODS The study involved 15 AD and 20 healthy participants from the Alzheimer's Disease Neuroimaging Initiative 2 (ADNI2) database, tracked over 2 visits within 1 year. Using constrained-independent component analysis, we assessed FC changes across 80-regions of interest in AD over the year, examining both static and dynamic conditions. RESULTS The average regional FC decreased in AD compared to healthy subjects at baseline and after 1 year. The dynamic condition identifies similarities with a few additional changes in the FC compared to the static condition. In both analyses, the baseline assessment revealed reduced connectivity between the following regions: right-middle-occipital and left-superior-occipital, left-hippocampus and right-postcentral, left-lingual and left-fusiform, and precuneus and left-thalamus. Additionally, increased connectivity was found between the left-superior-occipital and precuneus regions. In the 1-year AD assessment, increased connectivity was noted between the right-superior-temporal-pole and right-insular, right-hippocampus and left-caudate, right-middle-occipital and right-superior-temporal-pole, and posterior-cingulate-cortex and middle-temporal-pole regions. CONCLUSION Significant changes were observed at baseline in the frontal, occipital, and core basal-ganglia regions, progressing towards the temporal lobe and subcortical regions in the following year. After 1 year, we observed the aforementioned region-specific neurological differences in AD, significantly aiding diagnosis and disease tracking.
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Affiliation(s)
- Kuppe Channappa Usha
- B.M.S. College of Engineering, Department of Electronics and Communication Engineering, Bengaluru Karnataka, India
| | | | - Abhishek Appaji
- B.M.S. College of Engineering, Department of Medical Electronics, Bengaluru Karnataka, India
- Maastricht University, University Eye Clinic Maastricht, Maastricht, Netherlands
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2
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Li D, Mao M, Zhang X, Hou D, Zhang S, Hao J, Cui X, Niu Y, Xiang J, Wang B. Gender effects on the controllability of hemispheric white matter networks. Cereb Cortex 2023; 33:1643-1658. [PMID: 35483707 DOI: 10.1093/cercor/bhac162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 04/03/2022] [Accepted: 04/04/2022] [Indexed: 11/13/2022] Open
Abstract
Male and female adults exhibited significant group differences in brain white matter (WM) asymmetry and WM network controllability. However, gender differences in controllability of hemispheric WM networks between males and females remain to be determined. Based on 1 principal atlas and 1 replication atlas, this work characterized the average controllability (AC) and modal controllability (MC) of hemispheric WM network based on 1 principal dataset and 2 replication datasets. All results showed that males had higher AC of left hemispheric networks than females. And significant hemispheric asymmetry was revealed in regional AC and MC. Furthermore, significant gender differences in the AC asymmetry were mainly found in regions lie in the frontoparietal network, and the MC asymmetry was found in regions involving auditory and emotion process. Finally, we found significant associations between regional controllability and cognitive features. Taken together, this work could provide a novel perspective for understanding gender differences in hemispheric WM asymmetry and cognitive function between males and females.
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Affiliation(s)
- Dandan Li
- College of Information and Computer, Taiyuan University of Technology, No. 79, Yingze West Street, Taiyuan, Shanxi, 030024, China
| | - Min Mao
- College of Information and Computer, Taiyuan University of Technology, No. 79, Yingze West Street, Taiyuan, Shanxi, 030024, China
| | - Xi Zhang
- College of Information and Computer, Taiyuan University of Technology, No. 79, Yingze West Street, Taiyuan, Shanxi, 030024, China
| | - Dianni Hou
- College of Information and Computer, Taiyuan University of Technology, No. 79, Yingze West Street, Taiyuan, Shanxi, 030024, China
| | - Shanshan Zhang
- College of Information and Computer, Taiyuan University of Technology, No. 79, Yingze West Street, Taiyuan, Shanxi, 030024, China
| | - Jiangping Hao
- College of Information and Computer, Taiyuan University of Technology, No. 79, Yingze West Street, Taiyuan, Shanxi, 030024, China
| | - Xiaohong Cui
- College of Information and Computer, Taiyuan University of Technology, No. 79, Yingze West Street, Taiyuan, Shanxi, 030024, China
| | - Yan Niu
- College of Information and Computer, Taiyuan University of Technology, No. 79, Yingze West Street, Taiyuan, Shanxi, 030024, China
| | - Jie Xiang
- College of Information and Computer, Taiyuan University of Technology, No. 79, Yingze West Street, Taiyuan, Shanxi, 030024, China
| | - Bin Wang
- College of Information and Computer, Taiyuan University of Technology, No. 79, Yingze West Street, Taiyuan, Shanxi, 030024, China
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3
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Sonkusare S, Qiong D, Zhao Y, Liu W, Yang R, Mandali A, Manssuer L, Zhang C, Cao C, Sun B, Zhan S, Voon V. Frequency dependent emotion differentiation and directional coupling in amygdala, orbitofrontal and medial prefrontal cortex network with intracranial recordings. Mol Psychiatry 2022; 28:1636-1646. [PMID: 36460724 DOI: 10.1038/s41380-022-01883-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 11/04/2022] [Accepted: 11/10/2022] [Indexed: 12/04/2022]
Abstract
The amygdala, orbitofrontal cortex (OFC) and medial prefrontal cortex (mPFC) form a crucial part of the emotion circuit, yet their emotion induced responses and interactions have been poorly investigated with direct intracranial recordings. Such high-fidelity signals can uncover precise spectral dynamics and frequency differences in valence processing allowing novel insights on neuromodulation. Here, leveraging the unique spatio-temporal advantages of intracranial electroencephalography (iEEG) from a cohort of 35 patients with intractable epilepsy (with 71 contacts in amygdala, 31 in OFC and 43 in mPFC), we assessed the spectral dynamics and interactions between the amygdala, OFC and mPFC during an emotional picture viewing task. Task induced activity showed greater broadband gamma activity in the negative condition compared to positive condition in all the three regions. Similarly, beta activity was increased in the negative condition in the amygdala and OFC while decreased in mPFC. Furthermore, beta activity of amygdala showed significant negative association with valence ratings. Critically, model-based computational analyses revealed unidirectional connectivity from mPFC to the amygdala and bidirectional communication between OFC-amygdala and OFC-mPFC. Our findings provide direct neurophysiological evidence for a much-posited model of top-down influence of mPFC over amygdala and a bidirectional influence between OFC and the amygdala. Altogether, in a relatively large sample size with human intracranial neuronal recordings, we highlight valence-dependent spectral dynamics and dyadic coupling within the amygdala-mPFC-OFC network with implications for potential targeted neuromodulation in emotion processing.
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Affiliation(s)
- Saurabh Sonkusare
- Department of Neurosurgery, Centre for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Department of Psychiatry, University of Cambridge, Cambridge, UK.,Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Ding Qiong
- Department of Neurosurgery, Centre for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
| | - Yijie Zhao
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.,Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
| | - Wei Liu
- Department of Neurosurgery, Centre for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ruoqi Yang
- Department of Neurosurgery, Centre for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Alekhya Mandali
- Department of Psychiatry, University of Cambridge, Cambridge, UK.,Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.,MRC Brain Network Dynamics Unit, University of Oxford, Oxford, UK
| | - Luis Manssuer
- Department of Neurosurgery, Centre for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Department of Psychiatry, University of Cambridge, Cambridge, UK.,Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Chencheng Zhang
- Department of Neurosurgery, Centre for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chunyan Cao
- Department of Neurosurgery, Centre for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bomin Sun
- Department of Neurosurgery, Centre for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shikun Zhan
- Department of Neurosurgery, Centre for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Valerie Voon
- Department of Psychiatry, University of Cambridge, Cambridge, UK. .,Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
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4
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Snelleksz M, Rossell SL, Gibbons A, Nithianantharajah J, Dean B. Evidence that the frontal pole has a significant role in the pathophysiology of schizophrenia. Psychiatry Res 2022; 317:114850. [PMID: 36174274 DOI: 10.1016/j.psychres.2022.114850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 09/07/2022] [Accepted: 09/11/2022] [Indexed: 01/04/2023]
Abstract
Different regions of the cortex have been implicated in the pathophysiology of schizophrenia. Recently published data suggested there are many more changes in gene expression in the frontal pole (Brodmann's Area (BA) 10) compared to the dorsolateral prefrontal cortex (BA 9) and the anterior cingulate cortex (BA 33) from patients with schizophrenia. These data argued that the frontal pole is significantly affected by the pathophysiology of schizophrenia. The frontal pole is a region necessary for higher cognitive functions and is highly interconnected with many other brain regions. In this review we summarise the growing body of evidence to support the hypothesis that a dysfunctional frontal pole, due at least in part to its widespread effects on brain function, is making an important contribution to the pathophysiology of schizophrenia. We detail the many structural, cellular and molecular abnormalities in the frontal pole from people with schizophrenia and present findings that argue the symptoms of schizophrenia are closely linked to dysfunction in this critical brain region.
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Affiliation(s)
- Megan Snelleksz
- Synaptic Biology and Cognition Laboratory, The Florey Institute for Neuroscience and Mental Health, Parkville, Victoria, Australia; The Florey Department of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Susan L Rossell
- Centre for Mental Health, School of Health Sciences, Swinburne University, Melbourne, Victoria, Australia; Department of Psychiatry, St Vincent's Hospital, Melbourne, Victoria, Australia
| | - Andrew Gibbons
- The Department of Psychiatry, Monash University, Clayton, Victoria, Australia
| | - Jess Nithianantharajah
- The Florey Department of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Brian Dean
- Synaptic Biology and Cognition Laboratory, The Florey Institute for Neuroscience and Mental Health, Parkville, Victoria, Australia; The Florey Department of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia.
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5
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Bralet MC, Mitelman SA, Goodman CR, Lincoln S, Hazlett EA, Buchsbaum MS. Fluorodeoxyglucose positron emission tomography scans in patients with alcohol use disorder. Alcohol Clin Exp Res 2022; 46:994-1010. [PMID: 35451074 DOI: 10.1111/acer.14845] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 03/17/2022] [Accepted: 04/16/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Diminished uptake of fluorodeoxyglucose (FDG) has been observed in patients with alcohol use disorder (AUD) but little statistical contrast of the regional brain deficits has been undertaken. This study examined prefrontal cortex inter-regional Brodmann area differences to delineate patterns associated with behavioral, neurotransmitter, and general toxicity hypotheses of cerebral involvement in AUD. METHODS We obtained data from FDG positron emission tomography (PET) and anatomical magnetic resonance imaging (MRI) for 87 patients with AUD and 41 age- and sex-matched healthy volunteers. Patients were alcohol dependent and had negative breathalyzer tests at the time of imaging. They were assessed with the Beck Depression Inventory, Alcohol Urge Questionnaire, Obsessive Compulsive Drinking Scale, Spielberger State/Trait Anxiety Scale, Buss-Durkee Hostility Inventory, and the Drinker Inventory of Consequences (DrInC). PET images were co-registered to MRI and both voxel × voxel statistical mapping and stereotaxic regions of interest were obtained. RESULTS Compared with healthy volunteers, patients with AUD had lower relative metabolic rates in the frontal, temporal, and parietal lobes, localizable most prominently to the dorsolateral and nearly all orbital prefrontal cortex, superior temporal gyrus, and inferior parietal lobule. In contrast, metabolic rates in the medial orbitofrontal and anterior cingulate cortex, and the subcortical structures (thalamus, cerebellum, ventral striatum, and the dorsal raphe nucleus) in patients were significantly greater. The severity of alcohol-related consequences as assessed by the DrInC scale was most highly associated with lower metabolism in the caudate, dorsolateral prefrontal, frontopolar, and anteroposterior cingulate cortex. CONCLUSIONS Despite widespread metabolic abnormalities, decreases in AUD were most marked in frontal executive areas, consistent with diminished impulse control, and increases were most prominent in the striatum and cingulate areas, consistent with a suppressed reward system.
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Affiliation(s)
- Marie-Cécile Bralet
- Crisalid Unit (FJ5), CHI Clermont de l'Oise, Clermont, France.,Inserm Unit U669, Maison de Solenn, Universities Paris, Paris, France.,GDR 3557 Recherche Psychiatrie, Paris, France
| | - Serge A Mitelman
- Departments of Psychiatry and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Department of Psychiatry, Division of Child and Adolescent Psychiatry, Elmhurst Hospital Center, Elmhurst, New York, USA
| | - Chelain R Goodman
- Department of Radiation Oncology, Division of Radiation Oncology, University of Texas, Austin, Texas, USA
| | - Samantha Lincoln
- Departments of Psychiatry and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Erin A Hazlett
- Departments of Psychiatry and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Mental Illness Research, Education, and Clinical Center (VISN 2), James J. Peters VAMC, Bronx, New York, USA
| | - Monte S Buchsbaum
- Departments of Psychiatry and Radiology, University of California, San Diego, San Diego, California, USA.,Departments of Psychiatry and Radiology, University of California, Irvine, Irvine, California, USA
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6
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Pondelis NJ, Moulton EA. Supraspinal Mechanisms Underlying Ocular Pain. Front Med (Lausanne) 2022; 8:768649. [PMID: 35211480 PMCID: PMC8862711 DOI: 10.3389/fmed.2021.768649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 12/27/2021] [Indexed: 12/04/2022] Open
Abstract
Supraspinal mechanisms of pain are increasingly understood to underlie neuropathic ocular conditions previously thought to be exclusively peripheral in nature. Isolating individual causes of centralized chronic conditions and differentiating them is critical to understanding the mechanisms underlying neuropathic eye pain and ultimately its treatment. Though few functional imaging studies have focused on the eye as an end-organ for the transduction of noxious stimuli, the brain networks related to pain processing have been extensively studied with functional neuroimaging over the past 20 years. This article will review the supraspinal mechanisms that underlie pain as they relate to the eye.
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Affiliation(s)
- Nicholas J Pondelis
- Brain and Eye Pain Imaging Lab, Pain and Affective Neuroscience Center, Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States
| | - Eric A Moulton
- Brain and Eye Pain Imaging Lab, Pain and Affective Neuroscience Center, Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States.,Department of Ophthalmology, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States
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7
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Lee TW, Tramontano G. Automatic parcellation of resting-state cortical dynamics by iterative community detection and similarity measurements. AIMS Neurosci 2021; 8:526-542. [PMID: 34877403 PMCID: PMC8611189 DOI: 10.3934/neuroscience.2021028] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 09/01/2021] [Indexed: 11/24/2022] Open
Abstract
To investigate the properties of a large-scale brain network, it is a common practice to reduce the dimension of resting state functional magnetic resonance imaging (rs-fMRI) data to tens to hundreds of nodes. This study presents an analytic streamline that incorporates modular analysis and similarity measurements (MOSI) to fulfill functional parcellation (FP) of the cortex. MOSI is carried out by iteratively dividing a module into sub-modules (via the Louvain community detection method) and unifying similar neighboring sub-modules into a new module (adjacent sub-modules with a similarity index <0.05) until the brain modular structures of successive runs become constant. By adjusting the gamma value, a parameter in the Louvain algorithm, MOSI may segment the cortex with different resolutions. rs-fMRI scans of 33 healthy subjects were selected from the dataset of the Rockland sample. MOSI was applied to the rs-fMRI data after standardized pre-processing steps. The results indicate that the parcellated modules by MOSI are more homogeneous in content. After reducing the grouped voxels to representative neural nodes, the network structures were explored. The resultant network components were comparable with previous reports. The validity of MOSI in achieving data reduction has been confirmed. MOSI may provide a novel starting point for further investigation of the network properties of rs-fMRI data. Potential applications of MOSI are discussed.
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Affiliation(s)
- Tien-Wen Lee
- The Neuro Cognitive Institute (NCI) Clinical Research Foundation, NJ 07856, US.,Department of Psychiatry, Dajia Lee's General Hospital, Lee's Medical Corporation, Taichung 43748, Taiwan
| | - Gerald Tramontano
- The Neuro Cognitive Institute (NCI) Clinical Research Foundation, NJ 07856, US
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8
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Zhang Q, Zeng Y, Zhang T, Yang T. Comparison Between Human and Rodent Neurons for Persistent Activity Performance: A Biologically Plausible Computational Investigation. Front Syst Neurosci 2021; 15:628839. [PMID: 34566587 PMCID: PMC8459009 DOI: 10.3389/fnsys.2021.628839] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 08/20/2021] [Indexed: 11/13/2022] Open
Abstract
Elucidating the multi-scale detailed differences between the human brain and other brains will help shed light on what makes us unique as a species. Computational models help link biochemical and anatomical properties to cognitive functions and predict key properties of the cortex. Here, we present a detailed human neocortex network, with all human neuron parameters derived from the newest Allen Brain human brain cell database. Compared with that of rodents, the human neural network maintains more complete and accurate information under the same graphic input. Unique membrane properties in human neocortical neurons enhance the human brain's capacity for signal processing.
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Affiliation(s)
- Qian Zhang
- Institute of Automation, Chinese Academy of Sciences (CAS), Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Yi Zeng
- Institute of Automation, Chinese Academy of Sciences (CAS), Beijing, China.,University of Chinese Academy of Sciences, Beijing, China.,Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences (CAS), Shanghai, China.,National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences (CAS), Beijing, China
| | - Tielin Zhang
- Institute of Automation, Chinese Academy of Sciences (CAS), Beijing, China
| | - Taoyi Yang
- Institute of Automation, Chinese Academy of Sciences (CAS), Beijing, China
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9
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10
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Chase HW. Computing the Uncontrollable: Insights from Computational Modelling of Learning and Choice in Depression. Curr Behav Neurosci Rep 2021. [DOI: 10.1007/s40473-021-00228-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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11
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Li Q, Xiao M, Song S, Huang Y, Chen X, Liu Y, Chen H. The personality dispositions and resting-state neural correlates associated with aggressive children. Soc Cogn Affect Neurosci 2020; 15:1004-1016. [PMID: 32991698 PMCID: PMC7647379 DOI: 10.1093/scan/nsaa134] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 09/03/2020] [Accepted: 09/24/2020] [Indexed: 11/16/2022] Open
Abstract
Despite aggression being detrimental to children's physical health, mental health and social development, the dispositional and neurological antecedents of aggression in the child are poorly understood. Here we examined the relationship between trait aggression as measured by Buss and Warren's Aggression Questionnaire and personality traits measured with Big Five Questionnaire for Children in 77 primary-school children and recorded resting-state brain activity (fractional amplitude of low-frequency fluctuations [fALFF]) and resting-state functional connectivity (rsFC) using functional magnetic resonance imaging. The present results showed that trait aggression was negatively correlated with agreeableness and positively correlated with neuroticism. The brain analyses showed that children with a higher propensity for aggression had a lower fALFF mainly in the left superior temporal gyrus, right parahippocampal gyrus and left supramarginal gyrus. Physical and total aggressions were negatively associated with rsFC between the right parahippocampal gyrus and the right putamen. Further analysis revealed that this rsFC could moderate the influence of neuroticism on total aggression. Moreover, the results suggest the presence of a sex difference in the neurodevelopmental mechanisms underlying aggression in middle childhood. Overall, our findings indicate that aggressive children have lower agreeableness and higher neuroticism, and the underlying neural systems are mainly implicated in social judgment and empathy.
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Affiliation(s)
- Qingqing Li
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | | | | | | | | | | | - Hong Chen
- Correspondence should be addressed to: Hong Chen, Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Tiansheng Road No.2, Beibei District, Chongqing, China. E-mail:
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12
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Rolls ET, Cheng W, Gong W, Qiu J, Zhou C, Zhang J, Lv W, Ruan H, Wei D, Cheng K, Meng J, Xie P, Feng J. Functional Connectivity of the Anterior Cingulate Cortex in Depression and in Health. Cereb Cortex 2020; 29:3617-3630. [PMID: 30418547 DOI: 10.1093/cercor/bhy236] [Citation(s) in RCA: 72] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2018] [Revised: 08/27/2018] [Accepted: 08/31/2018] [Indexed: 12/22/2022] Open
Abstract
The first voxel-level resting-state functional connectivity (FC) neuroimaging analysis of depression of the anterior cingulate cortex (ACC) showed in 282 patients with major depressive disorder compared with 254 controls, some higher, and some lower FCs. However, in 125 unmedicated patients, primarily increases of FC were found: of the subcallosal anterior cingulate with the lateral orbitofrontal cortex, of the pregenual/supracallosal anterior cingulate with the medial orbitofrontal cortex, and of parts of the anterior cingulate with the inferior frontal gyrus, superior parietal lobule, and with early cortical visual areas. In the 157 medicated patients, these and other FCs were lower than in the unmedicated group. Parcellation was performed based on the FC of individual ACC voxels in healthy controls. A pregenual subdivision had high FC with medial orbitofrontal cortex areas, and a supracallosal subdivision had high FC with lateral orbitofrontal cortex and inferior frontal gyrus. The high FC in depression between the lateral orbitofrontal cortex and the subcallosal parts of the ACC provides a mechanism for more non-reward information transmission to the ACC, contributing to depression. The high FC between the medial orbitofrontal cortex and supracallosal ACC in depression may also contribute to depressive symptoms.
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Affiliation(s)
- Edmund T Rolls
- Department of Computer Science, University of Warwick, Coventry, UK.,Oxford Centre for Computational Neuroscience, Oxford, UK
| | - Wei Cheng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Weikang Gong
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Jiang Qiu
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China.,Department of Psychology, Southwest University, Chongqing, China
| | - Chanjuan Zhou
- Institute of Neuroscience, Chongqing Medical University, Chongqing, China.,Department of Neurology, Yongchuan Hospital of Chongqing Medical University, Chongqing, China
| | - Jie Zhang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Wujun Lv
- School of Mathematics, Shanghai University Finance and Economics, Shanghai, PR China
| | - Hongtao Ruan
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.,School of Mathematical Sciences, School of Life Science and the Collaborative Innovation Center for Brain Science, Fudan University, Shanghai, PR China
| | - Dongtao Wei
- Department of Psychology, Southwest University, Chongqing, China
| | - Ke Cheng
- Institute of Neuroscience, Chongqing Medical University, Chongqing, China.,College of Basic Medical Sciences, Chongqing Medical University, Chongqing, China
| | - Jie Meng
- Department of Psychology, Southwest University, Chongqing, China
| | - Peng Xie
- Institute of Neuroscience, Chongqing Medical University, Chongqing, China.,Chongqing Key Laboratory of Neurobiology, Chongqing, China.,Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jianfeng Feng
- Department of Computer Science, University of Warwick, Coventry, UK.,Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.,School of Mathematical Sciences, School of Life Science and the Collaborative Innovation Center for Brain Science, Fudan University, Shanghai, PR China
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13
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Moss RA. Psychotherapy in pain management: New viewpoints and treatment targets based on a brain theory. AIMS Neurosci 2020; 7:194-207. [PMID: 32995484 PMCID: PMC7519970 DOI: 10.3934/neuroscience.2020013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 06/30/2020] [Indexed: 11/24/2022] Open
Abstract
The current paper provides an explanation of neurophysiological pain processing based the Dimensional Systems Model (DSM), a theory of higher cortical functions in which the cortical column is considered the binary digit for all cortical functions. Within the discussion, novel views on the roles of the basal ganglia, cerebellum, and cingulate cortex are presented. Additionally, an applied Clinical Biopsychological Model (CBM) based on the DSM will be discussed as related to psychological treatment with chronic pain patients. Three specific areas that have not been adequately addressed in the psychological treatment of chronic pain patients will be discussed based on the CBM. The treatment approaches have been effectively used in a clinical setting. Conclusions focus on a call for researchers and clinicians to fully evaluate the value of both the DSM and CBM.
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Affiliation(s)
- Robert A. Moss
- North Mississippi Regional Pain Consultants, 4381 Eason Blvd., Tupelo, MS 38801 USA
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14
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Hu X, Zhang L, Bu X, Li H, Gao Y, Lu L, Tang S, Wang Y, Huang X, Gong Q. White matter disruption in obsessive-compulsive disorder revealed by meta-analysis of tract-based spatial statistics. Depress Anxiety 2020; 37:620-631. [PMID: 32275111 DOI: 10.1002/da.23008] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Revised: 02/29/2020] [Accepted: 03/10/2020] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Exploring white matter (WM) microstructural alterations is a momentous step for gaining insights about underlying mechanisms of obsessive-compulsive disorder (OCD) and improving the efficacy of therapies for this condition. Many tract-based spatial statistics (TBSS) studies have revealed abnormalities of fractional anisotropy (FA; an index of WM integrity) in OCD. However, research works have not drawn robust conclusions. Therefore, we integrated the findings of TBSS studies to identify the most consistent FA changes in OCD using meta-analytical approach. METHODS Online databases were systematically searched for all TBSS studies comparing FA between patients with OCD and controls. A coordinate-based meta-analysis was performed using anisotropic effect size version of the seed-based d mapping software. Meanwhile, meta-regression was used to explore the potential association of clinical characteristics with regional FA abnormalities. RESULTS Our meta-analysis included 488 OCD patients and 519 controls across 17 datasets. FA reductions were identified in the genu of the corpus callosum and the left orbitofrontal WM in OCD patients relative to controls. Metaregression analyses showed that the FA in the left orbitofrontal WM was negatively and independently correlated with symptom severity and illness duration in patients with OCD. CONCLUSIONS The current study provides a quantitative overview of TBSS findings in OCD and demonstrates the most prominent and replicable WM abnormalities in OCD are in the anterior part of the brain including interhemispheric connection and orbitofrontal region. Additionally, our findings suggest that FA reduction in the orbitofrontal WM might be a potential biomarker in predicting disease severity and progression in patients with OCD.
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Affiliation(s)
- Xinyu Hu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Lianqing Zhang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Xuan Bu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Hailong Li
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Yingxue Gao
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Lu Lu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Shi Tang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Yanlin Wang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Xiaoqi Huang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China.,Psychoradiology Research Unit of the Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China.,Psychoradiology Research Unit of the Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, Sichuan, China
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15
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Simmank F, Avram M, Fehse K, Sander T, Zaytseva Y, Paolini M, Bao Y, Silveira S. Morality in advertising: An fMRI study on persuasion in communication. Psych J 2020; 9:629-643. [PMID: 32515144 DOI: 10.1002/pchj.358] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Revised: 11/01/2019] [Accepted: 11/11/2019] [Indexed: 11/06/2022]
Abstract
Advertising slogans serve the function of persuasive communication by presenting catchy phrases. To decide whether a slogan is convincing or not, cognitive reasoning is assumed to be complemented by a more implicit and intuitive route of information processing, presumably similar to evaluating normative judgments in moral statements. We employed functional magnetic resonance imaging (fMRI) while Western male subjects judged advertising slogans and moral statements as another decision task with subjective nature. Compared to a neutral control condition that targeted declarative memory and to an aesthetic-related condition, the evaluation processes in both domains engaged the anterior medial prefrontal cortex (mPFC), which is associated with decision-making incorporating personal value. Conjoint activations were also observed in the left temporoparietal junction (TPJ) when compared to the aesthetics condition. Results are discussed with reference to domain-independence, a suspected difference to aesthetic-like appreciations, and functional organization in the mPFC and the TPJ.
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Affiliation(s)
- Fabian Simmank
- Institute of Medical Psychology, Ludwig-Maximilians-University, Munich, Germany.,Human Science Center, Ludwig-Maximilians-University, Munich, Germany
| | - Mihai Avram
- Department of Neuroradiology, Klinikum rechts der Isar, Technical University Munich, Munich, Germany.,TUM-NIC Neuroimaging Center, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
| | - Kai Fehse
- Institute of Medical Psychology, Ludwig-Maximilians-University, Munich, Germany.,Human Science Center, Ludwig-Maximilians-University, Munich, Germany
| | | | - Yuliya Zaytseva
- Institute of Medical Psychology, Ludwig-Maximilians-University, Munich, Germany.,Human Science Center, Ludwig-Maximilians-University, Munich, Germany.,National Institute of Mental Health, Klecany, Czech Republic.,Department of Psychiatry and Medical Psychology, 3rd Faculty of Medicine, Charles University in Prague, Prague, Czech Republic
| | - Marco Paolini
- Department of Radiology, Ludwig-Maximilians-University, Munich, Germany
| | - Yan Bao
- Institute of Medical Psychology, Ludwig-Maximilians-University, Munich, Germany.,Human Science Center, Ludwig-Maximilians-University, Munich, Germany.,School of Psychological and Cognitive Sciences, Peking University, Beijing, China.,Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China
| | - Sarita Silveira
- Institute of Medical Psychology, Ludwig-Maximilians-University, Munich, Germany.,Human Science Center, Ludwig-Maximilians-University, Munich, Germany
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16
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Chase HW, Grace AA, Fox PT, Phillips ML, Eickhoff SB. Functional differentiation in the human ventromedial frontal lobe: A data-driven parcellation. Hum Brain Mapp 2020; 41:3266-3283. [PMID: 32314470 PMCID: PMC7375078 DOI: 10.1002/hbm.25014] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Revised: 03/06/2020] [Accepted: 04/07/2020] [Indexed: 12/18/2022] Open
Abstract
Ventromedial regions of the frontal lobe (vmFL) are thought to play a key role in decision-making and emotional regulation. However, aspects of this area's functional organization, including the presence of a multiple subregions, their functional and anatomical connectivity, and the cross-species homologies of these subregions with those of other species, remain poorly understood. To address this uncertainty, we employed a two-stage parcellation of the region to identify six distinct structures within the region on the basis of data-driven classification of functional connectivity patterns obtained using the meta-analytic connectivity modeling (MACM) approach. From anterior to posterior, the derived subregions included two lateralized posterior regions, an intermediate posterior region, a dorsal and ventral central region, and a single anterior region. The regions were characterized further by functional connectivity derived using resting-state fMRI and functional decoding using the Brain Map database. In general, the regions could be differentiated on the basis of different patterns of functional connectivity with canonical "default mode network" regions and/or subcortical regions such as the striatum. Together, the findings suggest the presence of functionally distinct neural structures within vmFL, consistent with data from experimental animals as well prior demonstrations of anatomical differences within the region. Detailed correspondence with the anterior cingulate, medial orbitofrontal cortex, and rostroventral prefrontal cortex, as well as specific animal homologs are discussed. The findings may suggest future directions for resolving potential functional and structural correspondence of subregions within the frontal lobe across behavioral contexts, and across mammalian species.
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Affiliation(s)
- Henry W Chase
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Anthony A Grace
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.,Department of Neuroscience and Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Peter T Fox
- Research Imaging Institute, University of Texas Health Science Center, San Antonio, Texas, USA.,Department of Radiology, University of Texas Health Science Center, San Antonio, Texas, USA.,Department of Psychiatry, University of Texas Health Science Center, San Antonio, Texas, USA.,Research and Development Service, South Texas Veterans Health Care System, San Antonio, Texas, USA
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Simon B Eickhoff
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
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17
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Wojtasik M, Bludau S, Eickhoff SB, Mohlberg H, Gerboga F, Caspers S, Amunts K. Cytoarchitectonic Characterization and Functional Decoding of Four New Areas in the Human Lateral Orbitofrontal Cortex. Front Neuroanat 2020; 14:2. [PMID: 32116573 PMCID: PMC7014920 DOI: 10.3389/fnana.2020.00002] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Accepted: 01/17/2020] [Indexed: 11/20/2022] Open
Abstract
A comprehensive concept of the biological basis of reward, social and emotional behavior, and language requires a deeper understanding of the microstructure and connectivity of the underlying brain regions. Such understanding could provide deeper insights into their role in functional networks, and form the anatomical basis of the functional segregation of this region as shown in recent in vivo imaging studies. Here, we investigated the cytoarchitecture of the lateral orbitofrontal cortex (lateral OFC) in serial histological sections of 10 human postmortem brains by image analysis and a statistically reproducible approach to detect borders between cortical areas. Profiles of the volume fraction of cell bodies were therefore extracted from digitized histological images, describing laminar changes from the layer I/layer II boundary to the white matter. As a result, four new areas, Fo4–7, were identified. Area Fo4 was mainly found in the anterior orbital gyrus (AOG), Fo5 anteriorly in the inferior frontal gyrus (IFG), Fo6 in the lateral orbital gyrus (LOG), and Fo7 in the lateral orbital sulcus. Areas differed in cortical thickness, abundance and size of pyramidal cells in layer III and degree of granularity in layer IV. A hierarchical cluster analysis was used to quantify cytoarchitectonic differences between them. The 3D-reconstructed areas were transformed into the single-subject template of the Montreal Neurological Institute (MNI), where probabilistic maps and a maximum probability map (MPM) were calculated as part of the JuBrain Cytoarchitectonic Atlas. These maps served as reference data to study the functional properties of the areas using the BrainMap database. The type of behavioral tasks that activated them was analyzed to get first insights of co-activation patterns of the lateral OFC and its contribution to cognitive networks. Meta-analytic connectivity modeling (MACM) showed that functional decoding revealed activation in gustatory perception in Fo4; reward and somesthetic perception in Fo5; semantic processing and pain perception in Fo6; and emotional processing and covert reading in Fo7. Together with existing maps of the JuBrain Cytoarchitectonic Atlas, the new maps can now be used as an open-source reference for neuroimaging studies, allowing to further decode brain function.
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Affiliation(s)
- Magdalena Wojtasik
- Cécile and Oskar Vogt-Institute for Brain Research, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Sebastian Bludau
- Institute of Neuroscience and Medicine 1 (INM-1), Research Center Jülich, Jülich, Germany
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine 7 (INM-7), Research Center Jülich, Jülich, Germany.,Institut für Systemische Neurowissenschaften, Medizinische Fakultät, Heinrich-Heine Universität Düsseldorf, Düsseldorf, Germany
| | - Hartmut Mohlberg
- Institute of Neuroscience and Medicine 1 (INM-1), Research Center Jülich, Jülich, Germany
| | - Fatma Gerboga
- Cécile and Oskar Vogt-Institute for Brain Research, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Svenja Caspers
- Institute of Neuroscience and Medicine 1 (INM-1), Research Center Jülich, Jülich, Germany.,Institute for Anatomy I, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Katrin Amunts
- Cécile and Oskar Vogt-Institute for Brain Research, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine 1 (INM-1), Research Center Jülich, Jülich, Germany
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18
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Hu X, Zhang L, Bu X, Li H, Li B, Tang W, Lu L, Hu X, Tang S, Gao Y, Yang Y, Roberts N, Gong Q, Huang X. Localized Connectivity in Obsessive-Compulsive Disorder: An Investigation Combining Univariate and Multivariate Pattern Analyses. Front Behav Neurosci 2019; 13:122. [PMID: 31249515 PMCID: PMC6584748 DOI: 10.3389/fnbeh.2019.00122] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2018] [Accepted: 05/20/2019] [Indexed: 02/05/2023] Open
Abstract
Recent developments in psychoradiological researches have highlighted the disrupted organization of large-scale functional brain networks in obsessive-compulsive disorder (OCD). However, whether abnormal activation of localized brain areas would affect network dysfunction remains to be fully characterized. We applied both univariate analysis and multivariate pattern analysis (MVPA) approaches to investigate the abnormalities of regional homogeneity (ReHo), an index to measure the localized connectivity, in 88 medication-free patients with OCD and 88 healthy control subjects (HCS). Resting-state functional magnetic resonance imaging (RS-fMRI) data of all the participants were acquired in a 3.0-T scanner. First, we adopted a traditional univariate analysis to explore ReHo alterations between the patient group and the control group. Subsequently, we utilized a support vector machine (SVM) to examine whether ReHo could be further used to differentiate patients with OCD from HCS at the individual level. Relative to HCS, OCD patients showed lower ReHo in the bilateral cerebellum and higher ReHo in the bilateral superior frontal gyri (SFG), right inferior parietal gyrus (IPG), and precuneus [P < 0.05, family-wise error (FWE) correction]. ReHo value in the left SFG positively correlated with Yale-Brown Obsessive Compulsive Scale (Y-BOCS) total score (r = 0 0.241, P = 0.024) and obsessive subscale (r = 0.224, P = 0.036). The SVM classification regarding ReHo yielded an accuracy of 78.98% (sensitivity = 78.41%, specificity = 79.55%) with P < 0.001 after permutation testing. The most discriminative regions contributing to the SVM classification were mainly located in the frontal, temporal, and parietal regions as well as in the cerebellum while the right orbital frontal cortex was identified with the highest discriminative power. Our findings not only suggested that the localized activation disequilibrium between the prefrontal cortex (PFC) and the cerebellum appeared to be associated with the pathophysiology of OCD but also indicated the translational role of the localized connectivity as a potential discriminative pattern to detect OCD at the individual level.
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Affiliation(s)
- Xinyu Hu
- Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China
| | - Lianqing Zhang
- Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China
| | - Xuan Bu
- Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China
| | - Hailong Li
- Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China
| | - Bin Li
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Wanjie Tang
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Lu Lu
- Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China
| | - Xiaoxiao Hu
- Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China
| | - Shi Tang
- Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China
| | - Yingxue Gao
- Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China
| | - Yanchun Yang
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Neil Roberts
- Clinical Research Imaging Centre (CRIC), The Queen's Medical Research Institute (QMRI), University of Edinburgh, Edinburgh, United Kingdom
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China
| | - Xiaoqi Huang
- Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China
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19
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Rolls ET. The orbitofrontal cortex and emotion in health and disease, including depression. Neuropsychologia 2019; 128:14-43. [DOI: 10.1016/j.neuropsychologia.2017.09.021] [Citation(s) in RCA: 106] [Impact Index Per Article: 21.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Revised: 09/04/2017] [Accepted: 09/20/2017] [Indexed: 12/16/2022]
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20
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Liao J, Li T, Dong W, Wang J, Tian J, Liu J, Quan W, Yan J. Reduced prefrontal-temporal cortical activation during verbal fluency task in obsessive-compulsive disorder: A multi-channel near-infrared spectroscopy study. J Psychiatr Res 2019; 109:33-40. [PMID: 30468975 DOI: 10.1016/j.jpsychires.2018.11.006] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Revised: 11/03/2018] [Accepted: 11/03/2018] [Indexed: 01/26/2023]
Abstract
Functional neuroimaging studies by near-infrared spectroscopy (NIRS) have focused on the role of the prefrontal cortex (PFC) in the pathophysiology of obsessive-compulsive disorder (OCD). However, the reported areas in the PFC were inconsistent in OCD, and correlations between hemodynamic response and clinical symptoms have not been investigated. This study aimed to evaluate the hemodynamic response related to the verbal fluency task (VFT) and assess the relationship between activation and clinical status in OCD patients using a 52-channel NIRS with a wide coverage over the prefrontal and temporal cortices. Seventy patients with OCD and 70 age-, gender- and education level-matched healthy control subjects were examined by NIRS. The relative concentration changes of oxygenated hemoglobin ([oxy-Hb]) were measured. The Yale-Brown obsessive-compulsive scale (Y-BOCS) was used to evaluate the severity of OCD symptoms. Compared to healthy controls group, OCD patients showed smaller [oxy-Hb] changes in most areas of the prefrontal and temporal cortex, including the bilateral orbitofrontal cortex (OFC), right dorsolateral prefrontal cortex (DLPFC), bilateral inferior prefrontal cortex (IPFC), bilateral frontopolar cortex (FPC), left superior temporal gyrus (STG), and bilateral middle temporal gyrus (MTG). Furthermore, the [oxy-Hb] changes in the right FPC were negatively correlated with the Y-BOCS obsessions score and Y-BOCS total score, and the [oxy-Hb] changes in the left OFC were negatively correlated with the Y-BOCS compulsions score. These results suggest that patients with OCD have reduced prefrontal-temporal cortex hemodynamic responses, and that the abnormalities of brain activation were associated with the severity of OCD symptoms.
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Affiliation(s)
- Jinmin Liao
- Inpatient Unit, Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, NHC (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Tian Li
- Inpatient Unit, Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, NHC (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Wentian Dong
- Department of Translational Medicine, Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, NHC (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Jiuju Wang
- Department of Translational Medicine, Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, NHC (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Ju Tian
- Department of Translational Medicine, Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, NHC (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Jin Liu
- Department of Translational Medicine, Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, NHC (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Wenxiang Quan
- Department of Translational Medicine, Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, NHC (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China.
| | - Jun Yan
- Inpatient Unit, Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, NHC (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China.
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21
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Zilles K, Amunts K. Cytoarchitectonic and receptorarchitectonic organization in Broca's region and surrounding cortex. Curr Opin Behav Sci 2018. [DOI: 10.1016/j.cobeha.2018.02.011] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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22
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Lee TW, Xue SW. Functional connectivity maps based on hippocampal and thalamic dynamics may account for the default-mode network. Eur J Neurosci 2018; 47:388-398. [PMID: 29359833 DOI: 10.1111/ejn.13828] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2017] [Revised: 12/10/2017] [Accepted: 01/08/2018] [Indexed: 11/27/2022]
Abstract
The default-mode network (DMN) has been reported to comprise a set of inter-connected transmodal cortical areas, including the posterior cingulate cortex (PCC), medial prefrontal cortex, posterior inferior parietal lobule, lateral temporal region and others. However, the subcortical constituents of the DMN are still not clear. This study aimed to examine whether the correlation maps derived from subcortical structures may also account for neural pattern of the DMN. Structural magnetic resonance imaging (MRI) and resting-state functional MRI scans of 36 subjects were selected from the Rockland sample (Nathan Kline Institute). The hippocampus and thalamus were chosen as subcortical regions of interest (ROIs). Each ROI was partitioned into composite modules which in turn provided simplified and representative dynamics of blood-oxygen-level-dependent (BOLD) signals. PCC-seeded and ROI-based correlation maps were compared by conjunction analyses and paired t-tests (corrected P < 0.05). Our results unveiled that the hippocampus-, thalamus- and PCC-centred correlation patterns actually overlapped to a substantial degree. Integrating the signals in the thalamus and hippocampus altogether fully explained the PCC-seeded DMN. Supplementary analyses based on the BOLD dynamics in several subcortical nuclei (caudate, putamen and globus pallidus) were dissimilar to the DMN. The DMN derived from the ROI/seed-based approach may represent combined limbic and region-specific informatics (and their closely interacting neural substrates). The possible causes for previous methods of task-induced deactivation and seed-based correlation that failed to depict the holistic limbic picture are discussed. The neocortical manifestation of DMN may reflect the limbic information in the transmodal brain regions.
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Affiliation(s)
- Tien-Wen Lee
- Center for Cognition and Brain Disorders, Hangzhou Normal University, Room 301, No. 19, Shuyuan Building, No. 2318, Yuhangtang Rd, Hangzhou 311121, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China.,Department of Psychiatry, Dajia Lee's General Hospital, Lee's Medical Corporation, Taichung, Taiwan
| | - Shao-Wei Xue
- Center for Cognition and Brain Disorders, Hangzhou Normal University, Room 301, No. 19, Shuyuan Building, No. 2318, Yuhangtang Rd, Hangzhou 311121, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China
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23
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Samara Z, Evers EAT, Peeters F, Uylings HBM, Rajkowska G, Ramaekers JG, Stiers P. Orbital and Medial Prefrontal Cortex Functional Connectivity of Major Depression Vulnerability and Disease. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2018; 3:348-357. [PMID: 29628067 DOI: 10.1016/j.bpsc.2018.01.004] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2017] [Revised: 01/12/2018] [Accepted: 01/16/2018] [Indexed: 01/29/2023]
Abstract
BACKGROUND Pathophysiology models of major depression (MD) center on the dysfunction of various cortical areas within the orbital and medial prefrontal cortex. While independent structural and functional abnormalities in these areas are consistent findings in MD, the complex interactions among them and the rest of the cortex remain largely unexplored. METHODS We used resting-state functional magnetic resonance imaging connectivity to systematically map alterations in the communication between orbital and medial prefrontal cortex fields and the rest of the brain in MD. Functional connectivity (FC) maps from participants with current MD (n = 35), unaffected first-degree relatives (n = 36), and healthy control subjects (n = 38) were subjected to conjunction analyses to distinguish FC markers of MD vulnerability and FC markers of MD disease. RESULTS FC abnormalities in MD vulnerability were found for dorsal medial wall regions and the anterior insula and concerned altered communication of these areas with the inferior parietal cortex and dorsal posterior cingulate, occipital areas and the brainstem. FC aberrations in current MD included the anterior insula, rostral and dorsal anterior cingulate cortex, and lateral orbitofrontal areas and concerned altered communication with the dorsal striatum, the cerebellum, the precuneus, the anterior prefrontal cortex, somatomotor cortex, dorsolateral prefrontal cortex, and visual areas in the occipital and inferior temporal lobes. CONCLUSIONS Functionally delineated parcellation maps can be used to identify putative connectivity markers in extended cortical regions such as the orbital and medial prefrontal cortex. The anterior insula and the rostral anterior cingulate cortex play a central role in the pathophysiology of MD, being consistently implicated both in the MD vulnerability and MD disease states.
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Affiliation(s)
- Zoe Samara
- Department of Neuropsychology and Psychopharmacology, Maastricht University, Maastricht, The Netherlands.
| | - Elisabeth A T Evers
- Department of Neuropsychology and Psychopharmacology, Maastricht University, Maastricht, The Netherlands
| | - Frenk Peeters
- Department of Neuropsychology and Psychopharmacology, Maastricht University, Maastricht, The Netherlands
| | - Harry B M Uylings
- Department of Anatomy and Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
| | - Grazyna Rajkowska
- Department of Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, Mississippi
| | - Johannes G Ramaekers
- Department of Neuropsychology and Psychopharmacology, Maastricht University, Maastricht, The Netherlands
| | - Peter Stiers
- Department of Neuropsychology and Psychopharmacology, Maastricht University, Maastricht, The Netherlands
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24
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Klasen M, Wolf D, Eisner PD, Habel U, Repple J, Vernaleken I, Schlüter T, Eggermann T, Zerres K, Zepf FD, Mathiak K. Neural networks underlying trait aggression depend on MAOA gene alleles. Brain Struct Funct 2017; 223:873-881. [PMID: 29019036 DOI: 10.1007/s00429-017-1528-6] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2016] [Accepted: 09/20/2017] [Indexed: 12/29/2022]
Abstract
Low expressing alleles of the MAOA gene (MAOA-L) have been associated with an increased risk for developing an aggressive personality. This suggests an MAOA-L-specific neurobiological vulnerability associated with trait aggression. The neural networks underlying this vulnerability are unknown. The present study investigated genotype-specific associations between resting state brain networks and trait aggression (Buss-Perry Aggression Questionnaire) in 82 healthy Caucasian males. Genotype influences on aggression-related networks were studied for intrinsic and seed-based brain connectivity. Intrinsic connectivity was higher in the ventromedial prefrontal cortex (VMPFC) of MAOA-L compared to high expressing allele (MAOA-H) carriers. Seed-based connectivity analyses revealed genotype differences in the functional involvement of this region. MAOA genotype modulated the relationship between trait aggression and VMPFC connectivity with supramarginal gyrus (SMG) and areas of the default mode network (DMN). Separate analyses for the two groups were performed to better understand how the genotype modulated the relationship between aggression and brain networks. They revealed a positive correlation between VMPFC connectivity and aggression in right angular gyrus (AG) and a negative correlation in right SMG in the MAOA-L group. No such effect emerged in the MAOA-H carriers. The results indicate a particular relevance of VMPFC for aggression in MAOA-L carriers; in specific, a detachment from the DMN along with a strengthened coupling to the AG seems to go along with lower trait aggression. MAOA-L carriers may thus depend on a synchronization of emotion regulation systems (VMPFC) with core areas of empathy (SMG) to prevent aggression.
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Affiliation(s)
- Martin Klasen
- Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Pauwelsstr. 30, 52074, Aachen, Germany.
- JARA-Translational Brain Medicine, RWTH Aachen University, 52074, Aachen, Germany.
| | - Dhana Wolf
- Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Pauwelsstr. 30, 52074, Aachen, Germany
- JARA-Translational Brain Medicine, RWTH Aachen University, 52074, Aachen, Germany
| | - Patrick D Eisner
- Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Pauwelsstr. 30, 52074, Aachen, Germany
- JARA-Translational Brain Medicine, RWTH Aachen University, 52074, Aachen, Germany
| | - Ute Habel
- Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Pauwelsstr. 30, 52074, Aachen, Germany
- JARA-Translational Brain Medicine, RWTH Aachen University, 52074, Aachen, Germany
| | - Jonathan Repple
- Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Pauwelsstr. 30, 52074, Aachen, Germany
- JARA-Translational Brain Medicine, RWTH Aachen University, 52074, Aachen, Germany
- Department of Psychiatry and Psychotherapy, University of Muenster, 48149, Münster, Germany
| | - Ingo Vernaleken
- Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Pauwelsstr. 30, 52074, Aachen, Germany
- JARA-Translational Brain Medicine, RWTH Aachen University, 52074, Aachen, Germany
| | - Thorben Schlüter
- Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Pauwelsstr. 30, 52074, Aachen, Germany
- JARA-Translational Brain Medicine, RWTH Aachen University, 52074, Aachen, Germany
| | - Thomas Eggermann
- Institute of Human Genetics, Medical School, RWTH Aachen University, 52074, Aachen, Germany
| | - Klaus Zerres
- Institute of Human Genetics, Medical School, RWTH Aachen University, 52074, Aachen, Germany
| | - Florian D Zepf
- JARA-Translational Brain Medicine, RWTH Aachen University, 52074, Aachen, Germany
- Centre & Discipline of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy; School of Medicine, Division of Paediatrics and Child Health & Division of Psychiatry and Clinical Neurosciences, The University of Western Australia, Perth, Australia
- Specialised Child and Adolescent Mental Health Services, Department of Health in Western Australia, Perth, Australia
| | - Klaus Mathiak
- Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Pauwelsstr. 30, 52074, Aachen, Germany
- JARA-Translational Brain Medicine, RWTH Aachen University, 52074, Aachen, Germany
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Hassanpour MS, Eggebrecht AT, Peelle JE, Culver JP. Mapping effective connectivity within cortical networks with diffuse optical tomography. NEUROPHOTONICS 2017; 4:041402. [PMID: 28744475 PMCID: PMC5521306 DOI: 10.1117/1.nph.4.4.041402] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2017] [Accepted: 06/21/2017] [Indexed: 05/11/2023]
Abstract
Understanding how cortical networks interact in response to task demands is important both for providing insight into the brain's processing architecture and for managing neurological diseases and mental disorders. High-density diffuse optical tomography (HD-DOT) is a neuroimaging technique that offers the significant advantages of having a naturalistic, acoustically controllable environment and being compatible with metal implants, neither of which is possible with functional magnetic resonance imaging. We used HD-DOT to study the effective connectivity and assess the modulatory effects of speech intelligibility and syntactic complexity on functional connections within the cortical speech network. To accomplish this, we extend the use of a generalized psychophysiological interaction (PPI) analysis framework. In particular, we apply PPI methods to event-related HD-DOT recordings of cortical oxyhemoglobin activity during auditory sentence processing. We evaluate multiple approaches for selecting cortical regions of interest and for modeling interactions among these regions. Our results show that using subject-based regions has minimal effect on group-level connectivity maps. We also demonstrate that incorporating an interaction model based on estimated neural activity results in significantly stronger effective connectivity. Taken together our findings support the use of HD-DOT with PPI methods for noninvasively studying task-related modulations of functional connectivity.
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Affiliation(s)
- Mahlega S. Hassanpour
- Washington University in St. Louis, Department of Physics, St. Louis, Missouri, United States
- Washington University in St. Louis, Department of Radiology, St. Louis, Missouri, United States
- Address all correspondence to: Mahlega S. Hassanpour, E-mail:
| | - Adam T. Eggebrecht
- Washington University in St. Louis, Department of Radiology, St. Louis, Missouri, United States
| | - Jonathan E. Peelle
- Washington University in St. Louis, Department of Otolaryngology, St. Louis, Missouri, United States
| | - Joseph P. Culver
- Washington University in St. Louis, Department of Physics, St. Louis, Missouri, United States
- Washington University in St. Louis, Department of Radiology, St. Louis, Missouri, United States
- Washington University in St. Louis, Department of Biomedical Engineering, St. Louis, Missouri, United States
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