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Collantoni E, Alberti F, Dahmen B, von Polier G, Konrad K, Herpertz-Dahlmann B, Favaro A, Seitz J. Intra-individual cortical networks in Anorexia Nervosa: Evidence from a longitudinal dataset. EUROPEAN EATING DISORDERS REVIEW 2024; 32:298-309. [PMID: 37876109 DOI: 10.1002/erv.3043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 10/14/2023] [Accepted: 10/16/2023] [Indexed: 10/26/2023]
Abstract
OBJECTIVE This work investigates cortical thickness (CT) and gyrification patterns in Anorexia Nervosa (AN) before and after short-term weight restoration using graph theory tools. METHODS 38 female adolescents with AN underwent structural magnetic resonance imaging scans at baseline and after - on average - 3.5 months following short-term weight restoration while 53 age-matched healthy controls (HCs) were scanned once. Graph measures were compared between groups and longitudinally within the AN group. Associations with clinical measures such as age of onset, duration of illness, BMI standard deviation score (BMI-SDS), and longitudinal weight changes were tested via stepwise regression. RESULTS Cortical thickness graphs of patients with acute AN displayed lower modularity and small-world index (SWI) than HCs. Modularity recovered after weight gain. Reduced global efficiency and SWI were observed in patients at baseline compared to HCs based on gyrification networks. Significant associations between local clustering of CT at admission and BMI-SDS, and clustering/global efficiency of gyrification and duration of illness emerged. CONCLUSIONS Our results indicate a shift towards less organised CT networks in patients with acute AN. After weight recovery, the disarrangement seems to be partially reduced. However, longer-term follow-ups are needed to determine whether cortical organizational patterns fully return to normal.
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Affiliation(s)
- Enrico Collantoni
- Department of Neurosciences, University of Padua, Padova, Italy
- Padua Neuroscience Center, University of Padua, Padova, Italy
| | | | - Brigitte Dahmen
- Child and Adolescent Psychiatry, University Hospital, RWTH Aachen, Aachen, Germany
| | - Georg von Polier
- Child and Adolescent Psychiatry, University Hospital, RWTH Aachen, Aachen, Germany
- Child and Adolescent Psychiatry, University Hospital, Frankfurt, Germany
| | - Kerstin Konrad
- Child and Adolescent Psychiatry, University Hospital, RWTH Aachen, Aachen, Germany
- Section Neuropsychology, Child and Adolescent Psychiatry, University Hospital, RWTH Aachen, Aachen, Germany
| | | | - Angela Favaro
- Department of Neurosciences, University of Padua, Padova, Italy
- Padua Neuroscience Center, University of Padua, Padova, Italy
| | - Jochen Seitz
- Child and Adolescent Psychiatry, University Hospital, RWTH Aachen, Aachen, Germany
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2
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Chu C, He N, Zeljic K, Zhang Z, Wang J, Li J, Liu Y, Zhang Y, Sun B, Li D, Yan F, Zhang C, Liu C. Subthalamic and pallidal stimulation in Parkinson's disease induce distinct brain topological reconstruction. Neuroimage 2022; 255:119196. [PMID: 35413446 DOI: 10.1016/j.neuroimage.2022.119196] [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: 12/08/2021] [Revised: 04/02/2022] [Accepted: 04/07/2022] [Indexed: 10/18/2022] Open
Abstract
The subthalamic nucleus (STN) and globus pallidus internus (GPi) are the two most common and effective target brain areas for deep brain stimulation (DBS) treatment of advanced Parkinson's disease. Although DBS has been shown to restore functional neural circuits of this disorder, the changes in topological organization associated with active DBS of each target remain unknown. To investigate this, we acquired resting-state functional magnetic resonance imaging (fMRI) data from 34 medication-free patients with Parkinson's disease that had DBS electrodes implanted in either the subthalamic nucleus or internal globus pallidus (n = 17 each), in both ON and OFF DBS states. Sixteen age-matched healthy individuals were used as a control group. We evaluated the regional information processing capacity and transmission efficiency of brain networks with and without stimulation, and recorded how stimulation restructured the brain network topology of patients with Parkinson's disease. For both targets, the variation of local efficiency in motor brain regions was significantly correlated (p < 0.05) with improvement rate of the Uniform Parkinson's Disease Rating Scale-III scores, with comparable improvements in motor function for the two targets. However, non-motor brain regions showed changes in topological organization during active stimulation that were target-specific. Namely, targeting the STN decreased the information transmission of association, limbic and paralimbic regions, including the inferior frontal gyrus angle, insula, temporal pole, superior occipital gyri, and posterior cingulate, as evidenced by the simultaneous decrease of clustering coefficient and local efficiency. GPi-DBS had a similar effect on the caudate and lenticular nuclei, but enhanced information transmission in the cingulate gyrus. These effects were not present in the DBS-OFF state for GPi-DBS, but persisted for STN-DBS. Our results demonstrate that DBS to the STN and GPi induce distinct brain network topology reconstruction patterns, providing innovative theoretical evidence for deciphering the mechanism through which DBS affects disparate targets in the human brain.
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Affiliation(s)
- Chunguang Chu
- School of Electrical and Information Engineering, Tianjin University, Tianjin, China
| | - Naying He
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Kristina Zeljic
- School of Health Sciences, City, University of London, London, EC1V 0HB, UK
| | - Zhen Zhang
- School of Electrical and Information Engineering, Tianjin University, Tianjin, China
| | - Jiang Wang
- School of Electrical and Information Engineering, Tianjin University, Tianjin, China
| | - Jun Li
- School of Information Science and Technology, Shanghai Tech University, Shanghai, China
| | - Yu Liu
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Youmin Zhang
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bomin Sun
- Department of Neurosurgery, Center for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Clinical Neuroscience Center, Ruijin Hospital LuWan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Dianyou Li
- Department of Neurosurgery, Center for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Clinical Neuroscience Center, Ruijin Hospital LuWan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fuhua Yan
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Chencheng Zhang
- Department of Neurosurgery, Center for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Clinical Neuroscience Center, Ruijin Hospital LuWan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Research Center for Brain Science and Brain-Inspired Technology, Shanghai, China.
| | - Chen Liu
- School of Electrical and Information Engineering, Tianjin University, Tianjin, China.
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Gupta A, Bhatt RR, Rivera-Cancel A, Makkar R, Kragel PA, Rodriguez T, Graner JL, Alaverdyan A, Hamadani K, Vora P, Naliboff B, Labus JS, LaBar KS, Mayer EA, Zucker N. Complex functional brain network properties in anorexia nervosa. J Eat Disord 2022; 10:13. [PMID: 35123579 PMCID: PMC8817538 DOI: 10.1186/s40337-022-00534-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 01/19/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Anorexia nervosa (AN) is a disorder characterized by an incapacitating fear of weight gain and by a disturbance in the way the body is experienced, facets that motivate dangerous weight loss behaviors. Multimodal neuroimaging studies highlight atypical neural activity in brain networks involved in interoceptive awareness and reward processing. METHODS The current study used resting-state neuroimaging to model the architecture of large-scale functional brain networks and characterize network properties of individual brain regions to clinical measures. Resting-state neuroimaging was conducted in 62 adolescents, 22 (21 female) with a history of AN and 40 (39 female) healthy controls (HCs). Sensorimotor and basal ganglia regions, as part of a 165-region whole-brain network, were investigated. Subject-specific functional brain networks were computed to index centrality. A contrast analysis within the general linear model covarying for age was performed. Correlations between network properties and behavioral measures were conducted (significance q < .05). RESULTS Compared to HCs, AN had lower connectivity from sensorimotor regions, and greater connectivity from the left caudate nucleus to the right postcentral gyrus. AN demonstrated lower sensorimotor centrality, but higher basal ganglia centrality. Sensorimotor connectivity dyads and centrality exhibited negative correlations with body dissatisfaction and drive for thinness, two essential features of AN. CONCLUSIONS These findings suggest that AN is associated with greater communication from the basal ganglia, and lower information propagation in sensorimotor cortices. This is consistent with the clinical presentation of AN, where individuals exhibit patterns of rigid habitual behavior that is not responsive to bodily needs, and seem "disconnected" from their bodies.
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Affiliation(s)
- Arpana Gupta
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, UCLA, Los Angeles, CA, 90095, USA. .,David Geffen School of Medicine, UCLA, Los Angeles, CA, 90095, USA. .,Vatche and Tamar Manoukian Division of Digestive Diseases, UCLA, Los Angeles, CA, 90095, USA.
| | - Ravi R Bhatt
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, UCLA, Los Angeles, CA, 90095, USA.,Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine at USC, University of Southern California, Los Angeles, USA
| | | | - Rishi Makkar
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, UCLA, Los Angeles, CA, 90095, USA
| | | | - Thomas Rodriguez
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, UCLA, Los Angeles, CA, 90095, USA
| | - John L Graner
- Department of Psychology and Neuroscience, Duke University, Durham, USA
| | - Anita Alaverdyan
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, UCLA, Los Angeles, CA, 90095, USA
| | - Kareem Hamadani
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, UCLA, Los Angeles, CA, 90095, USA
| | - Priten Vora
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, UCLA, Los Angeles, CA, 90095, USA
| | - Bruce Naliboff
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, UCLA, Los Angeles, CA, 90095, USA.,David Geffen School of Medicine, UCLA, Los Angeles, CA, 90095, USA.,Vatche and Tamar Manoukian Division of Digestive Diseases, UCLA, Los Angeles, CA, 90095, USA
| | - Jennifer S Labus
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, UCLA, Los Angeles, CA, 90095, USA.,David Geffen School of Medicine, UCLA, Los Angeles, CA, 90095, USA.,Vatche and Tamar Manoukian Division of Digestive Diseases, UCLA, Los Angeles, CA, 90095, USA
| | - Kevin S LaBar
- Department of Psychology and Neuroscience, Duke University, Durham, USA
| | - Emeran A Mayer
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, UCLA, Los Angeles, CA, 90095, USA.,David Geffen School of Medicine, UCLA, Los Angeles, CA, 90095, USA.,Vatche and Tamar Manoukian Division of Digestive Diseases, UCLA, Los Angeles, CA, 90095, USA.,Ahmanson-Lovelace Brain Mapping Center, UCLA, Los Angeles, CA, 90095, USA
| | - Nancy Zucker
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, USA.,Department of Psychology and Neuroscience, Duke University, Durham, USA
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Collantoni E, Alberti F, Meregalli V, Meneguzzo P, Tenconi E, Favaro A. Brain networks in eating disorders: a systematic review of graph theory studies. Eat Weight Disord 2022; 27:69-83. [PMID: 33754274 PMCID: PMC8860943 DOI: 10.1007/s40519-021-01172-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2020] [Accepted: 03/12/2021] [Indexed: 11/05/2022] Open
Abstract
PURPOSE Recent evidence from neuroimaging research has shown that eating disorders (EDs) are characterized by alterations in interconnected neural systems, whose characteristics can be usefully described by connectomics tools. The present paper aimed to review the neuroimaging literature in EDs employing connectomic tools, and, specifically, graph theory analysis. METHODS A systematic review of the literature was conducted to identify studies employing graph theory analysis on patients with eating disorders published before the 22nd of June 2020. RESULTS Twelve studies were included in the systematic review. Ten of them address anorexia nervosa (AN) (AN = 199; acute AN = 85, weight recovered AN with acute diagnosis = 24; fully recovered AN = 90). The remaining two articles address patients with bulimia nervosa (BN) (BN = 48). Global and regional unbalance in segregation and integration properties were described in both disorders. DISCUSSION The literature concerning the use of connectomics tools in EDs evidenced the presence of alterations in the topological characteristics of brain networks at a global and at a regional level. Changes in local characteristics involve areas that have been demonstrated to be crucial in the neurobiology and pathophysiology of EDs. Regional imbalances in network properties seem to reflect on global patterns. LEVEL OF EVIDENCE Level I, systematic review.
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Affiliation(s)
- Enrico Collantoni
- Department of Neurosciences, University of Padua, Via Giustiniani, 2, 35128, Padua, Italy.
| | - Francesco Alberti
- Department of Neurosciences, University of Padua, Via Giustiniani, 2, 35128, Padua, Italy
| | - Valentina Meregalli
- Department of Neurosciences, University of Padua, Via Giustiniani, 2, 35128, Padua, Italy
| | - Paolo Meneguzzo
- Department of Neurosciences, University of Padua, Via Giustiniani, 2, 35128, Padua, Italy
| | - Elena Tenconi
- Department of Neurosciences, University of Padua, Via Giustiniani, 2, 35128, Padua, Italy.,Padua Neuroscience Center, University of Padua, Padua, Italy
| | - Angela Favaro
- Department of Neurosciences, University of Padua, Via Giustiniani, 2, 35128, Padua, Italy.,Padua Neuroscience Center, University of Padua, Padua, Italy
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Collantoni E, Meneguzzo P, Tenconi E, Meregalli V, Manara R, Favaro A. Shift Toward Randomness in Brain Networks of Patients With Anorexia Nervosa: The Role of Malnutrition. Front Neurosci 2021; 15:645139. [PMID: 33841085 PMCID: PMC8024518 DOI: 10.3389/fnins.2021.645139] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 02/15/2021] [Indexed: 01/12/2023] Open
Abstract
No study to date investigated structural white matter (WM) connectome characteristics in patients with anorexia nervosa (AN). Previous research in AN found evidence of imbalances in global and regional connectomic brain architecture and highlighted a role of malnutrition in determining structural brain changes. The aim of our study was to explore the characteristics of the WM network architecture in a sample of patients with AN. Thirty-six patients with AN and 36 healthy women underwent magnetic resonance imaging to obtain a high-resolution three-dimensional T1-weighted anatomical image and a diffusion tensor imaging scan. Probabilistic tractography data were extracted and analyzed in their network properties through graph theory tools. In comparison to healthy women, patients with AN showed lower global network segregation (normalized clustering: p = 0.029), an imbalance between global network integration and segregation (i.e., lower small-worldness: p = 0.031), and the loss of some of the most integrative and influential hubs. Both clustering and small-worldness correlated with the lowest lifetime body mass index. A significant relationship was found between the average regional loss of cortical volume and changes in network properties of brain nodes: the more the difference in the cortical volume of brain areas, the more the increase in the centrality of corresponding nodes in the whole brain, and the decrease in clustering and efficiency of the nodes of parietal cortex. Our findings showed an unbalanced connectome wiring in AN patients, which seems to be influenced by malnutrition and loss of cortical volume. The role of this rearrangement in the maintenance and prognosis of AN and its reversibility with clinical improvement needs to be established by future studies.
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Affiliation(s)
| | - Paolo Meneguzzo
- Department of Neurosciences, University of Padua, Padua, Italy
| | - Elena Tenconi
- Department of Neurosciences, University of Padua, Padua, Italy.,Padova Neuroscience Center, University of Padua, Padua, Italy
| | | | - Renzo Manara
- Department of Neurosciences, University of Padua, Padua, Italy
| | - Angela Favaro
- Department of Neurosciences, University of Padua, Padua, Italy.,Padova Neuroscience Center, University of Padua, Padua, Italy
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Pang D, Gao Y, Liao L, Ying X. Brain functional network alterations caused by a strong desire to void in healthy adults: a graph theory analysis study. Neurourol Urodyn 2020; 39:1966-1976. [PMID: 32806881 DOI: 10.1002/nau.24445] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 05/08/2020] [Accepted: 06/16/2020] [Indexed: 11/06/2022]
Abstract
PURPOSE This resting-state functional magnetic resonance imaging (fMRI) study determined the functional connectivity (FC) changes and topologic property alterations of the brain functional network provoked by a strong desire to void in healthy adults using a graph theory analysis (GTA). MATERIALS AND METHODS Thirty-four healthy, right-handed subjects filled their bladders by drinking water. The subjects were scanned under an empty bladder and a strong desire to void states. The Pearson's correlation coefficients were calculated among 90 brain regions in the automated anatomical labeling (AAL) atlas to construct the brain functional network. A paired t test (P < .05, after false discovery rate [FDR] correction) was used to detect significant differences in the FC, topologic properties (small-world parameters [gamma, sigma], Cp, Lp, Eglob, Eloc, and Enodal) between the two states in all subjects. RESULTS Both the two states showed small-world network properties. The clustering coefficient (Cp) and local efficiency (Eloc) in the whole brain network decreased, while the FC within the default mode network (DMN) increased during the strong desire to void compared with the empty bladder state. Moreover, an increased nodal efficiency (Enodal) was detected in the basal ganglia (BG), DMN, sensorimotor-related network (SMN), and visual network (VN). CONCLUSION We detected FC changes and topologic property alterations in brain functional networks caused by a strong desire to void in healthy and suggest that the micturition control may be a process dominated by DMN and coordinated by multiple sub-networks (such as, BG, SMN, and VN), which could serve as a baseline for understanding the pathologic process underlying bladder dysfunction and be useful to improve targeted therapy in the future.
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Affiliation(s)
- Dongqing Pang
- Rehabilitation School of Capital Medical University, Department of Urology of Capital Medical University, Beijing, China.,Department of Urology, China Rehabilitation Research Centre, Beijing, China
| | - Yi Gao
- Rehabilitation School of Capital Medical University, Department of Urology of Capital Medical University, Beijing, China.,Department of Urology, China Rehabilitation Research Centre, Beijing, China
| | - Limin Liao
- Rehabilitation School of Capital Medical University, Department of Urology of Capital Medical University, Beijing, China.,Department of Urology, China Rehabilitation Research Centre, Beijing, China
| | - Xiaoqian Ying
- Rehabilitation School of Capital Medical University, Department of Urology of Capital Medical University, Beijing, China.,Department of Urology, China Rehabilitation Research Centre, Beijing, China
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