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Kokubun K, Nemoto K, Yamakawa Y. Smartphone app for lifestyle improvement improves brain health and boosts the vitality and cognitive function of healthy middle-aged adults. Brain Behav 2024; 14:e3500. [PMID: 38685801 PMCID: PMC11058401 DOI: 10.1002/brb3.3500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 03/20/2024] [Accepted: 04/06/2024] [Indexed: 05/02/2024] Open
Abstract
INTRODUCTION The number of smartphone apps for brain training is increasing, and the number of people who are working on brain training is also increasing. However, researchers disagree about the effectiveness of brain training. METHODS Therefore, in this study, we conducted an intervention test with the participation of 70 healthy middle-aged men and women and measured the effect of smartphone apps on lifestyle improvement using brain healthcare quotient calculated from brain imaging data. RESULTS As a result, in the intervention group, significant improvements were seen in fractional anisotropy (FA) of the whole brain, corpus callosum, internal capsule, corona radiata, posterior thalamic radiation, external capsule, and superior longitudinal fasciculus. Additionally, in the intervention group, these FA increments correlated with improvements in cognitive function as measured by the trail-making test and vigor as measured by the Profile of Mood States 2nd Edition. CONCLUSION The results of this study suggest that improving lifestyle habits through smartphone apps can improve brain health and cognitive and emotional performance of healthy middle-aged adults. This is consistent with previous research that suggests that FA integrity in the limbic-thalamo-cortical pathway influences cognitive function and emotion regulation.
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Affiliation(s)
- Keisuke Kokubun
- Open Innovation InstituteKyoto UniversityKyotoJapan
- Graduate School of ManagementKyoto UniversityKyotoJapan
| | - Kiyotaka Nemoto
- Department of Psychiatry, Institute of MedicineUniversity of TsukubaTsukubaJapan
| | - Yoshinori Yamakawa
- Open Innovation InstituteKyoto UniversityKyotoJapan
- Graduate School of ManagementKyoto UniversityKyotoJapan
- Institute of Innovative Research, Tokyo Institute of TechnologyMeguroTokyoJapan
- ImPACT Program of Council for Science, Technology and Innovation (Cabinet Office, Government of Japan)ChiyodaTokyoJapan
- Office for Academic and Industrial InnovationKobe UniversityKobeJapan
- Brain ImpactKyotoJapan
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Li T, Qin R, Li C, Li L, Wang X, Wang L. Diffusion kurtosis imaging of brain white matter alteration in patients with coronary artery disease based on the TBSS method. Front Aging Neurosci 2024; 16:1301826. [PMID: 38425783 PMCID: PMC10901985 DOI: 10.3389/fnagi.2024.1301826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 01/29/2024] [Indexed: 03/02/2024] Open
Abstract
Object The aim of our study was to examine the alterations in microstructure in patients with coronary artery disease (CAD) and cognitive impairment (CI) using diffusion kurtosis imaging (DKI). Additionally, we aimed to investigate the potential correlation between DKI parameters and cognitive function. Materials and methods A total of 28 CAD patients and 30 healthy controls (HC) were prospectively enrolled in our study. All participants underwent routine and diffusion sequences of head imaging. DKE software was utilized to generate various diffusion kurtosis imaging parameters (DKI), including kurtosis fractional anisotropy (KFA), mean kurtosis (MK), axial kurtosis (AK), radial kurtosis (RK), fractional anisotropy (FA), and mean diffusivity (MD). Nonparametric tests were conducted using tract-based spatial statistics (TBSS) to compare the parameter values between the two groups. The parameter values of the significantly different fiber tracts were extracted and correlated with the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) scores. Results Compared to the HC group, patients with coronary artery disease exhibited significant reductions in FA values in the bilateral Superior corona radiata, bilateral Anterior corona radiata, bilateral Posterior corona radiata, corpus callosum, left Posterior thalamic radiation, right Posterior limb of internal capsule, Anterior limb of internal capsule, and Cerebral peduncle, as well as in the left Superior longitudinal fasciculus. Additionally, KFA values decreased in the bilateral Anterior corona radiata, bilateral Anterior limb of internal capsule, and Genu of the corpus callosum. The MK values decreased in the right Posterior corona radiata, Retrolenticular part of the internal capsule, Posterior thalamic radiation (including optic radiation), Superior longitudinal fasciculus, and left Posterior thalamic radiation (including optic radiation). Moreover, the RK values decreased in the bilateral Retrolenticular part of the internal capsule, right Posterior thalamic radiation (including optic radiation), and Superior longitudinal fasciculus, as well as in the left Superior longitudinal fasciculus and Posterior thalamic radiation (including optic radiation) (p < 0.01, TFCE corrected), while no significant differences were observed in other parameter values (p > 0.01, TFCE corrected). The FA values of the right posterior limb of the internal capsule (r = 0.610, p = 0.001) and the right cerebral peduncle (r = 0.622, p < 0.001) were positively correlated with MMSE scores. Additionally, a significant correlation between kurtosis and diffusion coefficient parameters (FA and KFA) was observed. Conclusion CAD patients showed radial shrinkage and complexity of brain white matter microstructure. Whole-brain white matter analysis based on TBSS DKI can objectively reflect the characteristics of white matter damage in CAD patients, providing a basis for the auxiliary diagnosis of CAD with CI.
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Affiliation(s)
- Tong Li
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Rui Qin
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Cuicui Li
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Lin Li
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Ximing Wang
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Li Wang
- Department of Health Management Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
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Guo Y, Xia Y, Chen K. The body mass index is associated with increased temporal variability of functional connectivity in brain reward system. Front Nutr 2023; 10:1210726. [PMID: 37388634 PMCID: PMC10300418 DOI: 10.3389/fnut.2023.1210726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Accepted: 05/24/2023] [Indexed: 07/01/2023] Open
Abstract
The reward system has been proven to be contributed to the vulnerability of obesity. Previous fMRI studies have shown abnormal functional connectivity of the reward system in obesity. However, most studies were based on static index such as resting-state functional connectivity (FC), ignoring the dynamic changes over time. To investigate the dynamic neural correlates of obesity susceptibility, we used a large, demographically well-characterized sample from the Human Connectome Project (HCP) to determine the relationship of body mass index (BMI) with the temporal variability of FC from integrated multilevel perspectives, i.e., regional and within- and between-network levels. Linear regression analysis was used to investigate the association between BMI and temporal variability of FC, adjusting for covariates of no interest. We found that BMI was positively associated with regional FC variability in reward regions, such as the ventral orbitofrontal cortex and visual regions. At the intra-network level, BMI was positively related to the variability of FC within the limbic network (LN) and default mode network (DMN). At the inter-network level, variability of connectivity of LN with DMN, frontoparietal, sensorimotor, and ventral attention networks showed positive correlations with BMI. These findings provided novel evidence for abnormal dynamic functional interaction between the reward network and the rest of the brain in obesity, suggesting a more unstable state and over-frequent interaction of the reward network and other attention and cognitive networks. These findings, thus, provide novel insight into obesity interventions that need to decrease the dynamic interaction between reward networks and other brain networks through behavioral treatment and neural modulation.
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Affiliation(s)
- Yiqun Guo
- School of Innovation and Entrepreneurship Education, Chongqing University of Posts and Telecommunications, Chongqing, China
- Research Center of Biomedical Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China
| | - Yuxiao Xia
- The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ke Chen
- School of Innovation and Entrepreneurship Education, Chongqing University of Posts and Telecommunications, Chongqing, China
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4
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Celeghin A, Palermo S, Giampaolo R, Di Fini G, Gandino G, Civilotti C. Brain Correlates of Eating Disorders in Response to Food Visual Stimuli: A Systematic Narrative Review of FMRI Studies. Brain Sci 2023; 13:brainsci13030465. [PMID: 36979275 PMCID: PMC10046850 DOI: 10.3390/brainsci13030465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 02/28/2023] [Accepted: 03/07/2023] [Indexed: 03/12/2023] Open
Abstract
This article summarizes the results of studies in which functional magnetic resonance imaging (fMRI) was performed to investigate the neurofunctional activations involved in processing visual stimuli from food in individuals with anorexia nervosa (AN), bulimia nervosa (BN) and binge eating disorder (BED). A systematic review approach based on the PRISMA guidelines was used. Three databases—Scopus, PubMed and Web of Science (WoS)—were searched for brain correlates of each eating disorder. From an original pool of 688 articles, 30 articles were included and discussed. The selected studies did not always overlap in terms of research design and observed outcomes, but it was possible to identify some regularities that characterized each eating disorder. As if there were two complementary regulatory strategies, AN seems to be associated with general hyperactivity in brain regions involved in top-down control and emotional areas, such as the amygdala, insula and hypothalamus. The insula and striatum are hyperactive in BN patients and likely involved in abnormalities of impulsivity and emotion regulation. Finally, the temporal cortex and striatum appear to be involved in the neural correlates of BED, linking this condition to use of dissociative strategies and addictive aspects. Although further studies are needed, this review shows that there are specific activation pathways. Therefore, it is necessary to pay special attention to triggers, targets and maintenance processes in order to plan effective therapeutic interventions. Clinical implications are discussed.
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Affiliation(s)
- Alessia Celeghin
- Department of Psychology, University of Turin, 10124 Turin, Italy
| | - Sara Palermo
- Department of Psychology, University of Turin, 10124 Turin, Italy
- Neuroradiology Unit, Department of Diagnostic and Technology, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy
| | | | - Giulia Di Fini
- Department of Psychology, University of Turin, 10124 Turin, Italy
| | | | - Cristina Civilotti
- Department of Psychology, University of Turin, 10124 Turin, Italy
- Faculty of Educational Science, Salesian University Institute (IUSTO), 10155 Turin, Italy
- Correspondence:
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Maier S, Joos A, Tebartz van Elst L, Ebert D, Endres D, Domschke K, Lahmann C, Zeeck A, Runge K, Denzel D, Reisert M, Nickel K. Reduced structural connectivity in the corpus callosum in patients with anorexia nervosa. EUROPEAN EATING DISORDERS REVIEW 2022; 30:341-352. [DOI: 10.1002/erv.2894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 02/19/2022] [Accepted: 02/21/2022] [Indexed: 11/06/2022]
Affiliation(s)
- Simon Maier
- Department of Psychiatry and Psychotherapy, Medical Center – University of Freiburg, Faculty of Medicine University of Freiburg Freiburg Germany
| | - Andreas Joos
- Department of Psychosomatic Medicine and Psychotherapy, Medical Center – University of Freiburg, Faculty of Medicine University of Freiburg Freiburg Germany
| | - Ludger Tebartz van Elst
- Department of Psychiatry and Psychotherapy, Medical Center – University of Freiburg, Faculty of Medicine University of Freiburg Freiburg Germany
| | - Dieter Ebert
- Department of Psychiatry and Psychotherapy, Medical Center – University of Freiburg, Faculty of Medicine University of Freiburg Freiburg Germany
| | - Dominique Endres
- Department of Psychiatry and Psychotherapy, Medical Center – University of Freiburg, Faculty of Medicine University of Freiburg Freiburg Germany
| | - Katharina Domschke
- Department of Psychiatry and Psychotherapy, Medical Center – University of Freiburg, Faculty of Medicine University of Freiburg Freiburg Germany
- Center for Basics in Neuromodulation, Faculty of Medicine University of Freiburg Freiburg Germany
| | - Claas Lahmann
- Department of Psychosomatic Medicine and Psychotherapy, Medical Center – University of Freiburg, Faculty of Medicine University of Freiburg Freiburg Germany
| | - Almut Zeeck
- Department of Psychosomatic Medicine and Psychotherapy, Medical Center – University of Freiburg, Faculty of Medicine University of Freiburg Freiburg Germany
| | - Kimon Runge
- Department of Psychiatry and Psychotherapy, Medical Center – University of Freiburg, Faculty of Medicine University of Freiburg Freiburg Germany
| | - Dominik Denzel
- Department of Psychiatry and Psychotherapy, Medical Center – University of Freiburg, Faculty of Medicine University of Freiburg Freiburg Germany
| | - Marco Reisert
- Department of Radiology, Medical Physics, Medical Center – University of Freiburg, Faculty of Medicine University of Freiburg Freiburg Germany
| | - Kathrin Nickel
- Department of Psychiatry and Psychotherapy, Medical Center – University of Freiburg, Faculty of Medicine University of Freiburg Freiburg Germany
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Laczkovics C, Nenning KH, Wittek T, Schmidbauer V, Schwarzenberg J, Maurer ES, Wagner G, Seidel S, Philipp J, Prayer D, Kasprian G, Karwautz A. White matter integrity is disrupted in adolescents with acute anorexia nervosa: A diffusion tensor imaging study. Psychiatry Res Neuroimaging 2022; 320:111427. [PMID: 34952446 DOI: 10.1016/j.pscychresns.2021.111427] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 12/09/2021] [Accepted: 12/10/2021] [Indexed: 11/30/2022]
Abstract
Anorexia nervosa (AN) is a highly debilitating mental illness with multifactorial etiology. It oftentimes begins in adolescence, therefore understanding the pathophysiology in this period is important. Few studies investigated the possible impact of the acute state of illness on white matter (WM) tissue properties in the developing adolescent brain. The present study expands our understanding of the implications of AN and starvation on WM integrity. 67 acutely ill adolescent patients suffering from AN restricting type were compared with 32 healthy controls using diffusion tensor imaging assessing fractional anisotropy (FA) and mean diffusivity (MD). We found widespread alterations in the vast majority of the WM regions with significantly decreased FA and increased MD in the AN group. In this highly selective sample in the acute stage of AN, the alterations are likely to be the consequence of starvation. Still, we cannot rule out that some of the affected regions might play a key role in AN-specific psychopathology.
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Affiliation(s)
- Clarissa Laczkovics
- Eating Disorders Unit, Department of Child and Adolescent Psychiatry, Medical University of Vienna, Austria.
| | - Karl-Heinz Nenning
- Computational Imaging Research Lab, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria
| | - Tanja Wittek
- Eating Disorders Unit, Department of Child and Adolescent Psychiatry, Medical University of Vienna, Austria
| | - Victor Schmidbauer
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria
| | - Julia Schwarzenberg
- Eating Disorders Unit, Department of Child and Adolescent Psychiatry, Medical University of Vienna, Austria
| | - Elisabeth Sophie Maurer
- Eating Disorders Unit, Department of Child and Adolescent Psychiatry, Medical University of Vienna, Austria
| | - Gudrun Wagner
- Eating Disorders Unit, Department of Child and Adolescent Psychiatry, Medical University of Vienna, Austria
| | - Stefan Seidel
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria
| | - Julia Philipp
- Eating Disorders Unit, Department of Child and Adolescent Psychiatry, Medical University of Vienna, Austria
| | - Daniela Prayer
- Department of Neurology, Medical University of Vienna, Austria
| | - Gregor Kasprian
- Department of Neurology, Medical University of Vienna, Austria
| | - Andreas Karwautz
- Eating Disorders Unit, Department of Child and Adolescent Psychiatry, Medical University of Vienna, Austria
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7
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Tadayonnejad R, Majid DA, Tsolaki E, Rane R, Wang H, Moody TD, Pauli WM, Pouratian N, Bari AA, Murray SB, O'Doherty JP, Feusner JD. Mesolimbic Neurobehavioral Mechanisms of Reward Motivation in Anorexia Nervosa: A Multimodal Imaging Study. Front Psychiatry 2022; 13:806327. [PMID: 35321230 PMCID: PMC8934777 DOI: 10.3389/fpsyt.2022.806327] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Accepted: 02/10/2022] [Indexed: 01/04/2023] Open
Abstract
Diminished motivation to pursue and obtain primary and secondary rewards has been demonstrated in anorexia nervosa (AN). However, the neurobehavioral mechanisms underlying the behavioral activation component of aberrant reward motivation remains incompletely understood. This work aims to explore this underexplored facet of reward motivation in AN. We recruited female adolescents with AN, restricting type (n = 32) and a healthy control group (n = 28). All participants underwent functional magnetic resonance imaging (fMRI) while performing a monetary reward task. Diffusion MRI data was also collected to examine the reward motivation circuit's structural connectivity. Behavioral results demonstrated slower speed of reward-seeking behavior in those with AN compared with controls. Accompanying this was lower functional connectivity and reduced white matter structural integrity of the connection between the ventral tegmental area/substantia nigra pars compacta and the nucleus accumbens within the mesolimbic circuit. Further, there was evidence of neurobehavioral decoupling in AN between reward-seeking behavior and mesolimbic regional activation and functional connectivity. Aberrant activity of the bed nucleus of the stria terminalis (BNST) and its connectivity with the mesolimbic system was also evident in AN during the reward motivation period. Our findings suggest functional and structural dysconnectivity within a mesolimbic reward circuit, neurofunctional decoupling from reward-seeking behavior, and abnormal BNST function and circuit interaction with the mesolimbic system. These results show behavioral indicators of aberrant reward motivation in AN, particularly in its activational component. This is mediated neuronally by mesolimbic reward circuit functional and structural dysconnectivity as well as neurobehavioral decoupling. Based on these findings, we suggest a novel circuit-based mechanism of impaired reward processing in AN, with the potential for translation to developing more targeted and effective treatments in this difficult-to-treat psychiatric condition.
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Affiliation(s)
- Reza Tadayonnejad
- Division of Neuromodulation, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States.,Division of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, United States
| | - Ds-Adnan Majid
- Cognitive Neuroscience, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States
| | - Evangelia Tsolaki
- Department of Neursurgery, University of California, Los Angeles, Los Angeles, CA, United States
| | - Riddhi Rane
- Cognitive Neuroscience, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States
| | - Huan Wang
- Cognitive Neuroscience, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States
| | - Teena D Moody
- Cognitive Neuroscience, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States
| | - Wolfgang M Pauli
- Artificial Intelligence Platform, Microsoft, Redmon, WA, United States
| | - Nader Pouratian
- Department of Neursurgery, University of California, Los Angeles, Los Angeles, CA, United States.,University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Ausaf A Bari
- Department of Neursurgery, University of California, Los Angeles, Los Angeles, CA, United States
| | - Stuart B Murray
- Department of Psychiatry and the Behavioral Sciences, University of Southern California, Los Angeles, CA, United States
| | - John P O'Doherty
- Division of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, United States.,Computation & Neural Systems Program, California Institute of Technology, Pasadena, CA, United States
| | - Jamie D Feusner
- Cognitive Neuroscience, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States.,Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
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8
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Inter-individual body mass variations relate to fractionated functional brain hierarchies. Commun Biol 2021; 4:735. [PMID: 34127795 PMCID: PMC8203627 DOI: 10.1038/s42003-021-02268-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 05/06/2021] [Indexed: 02/05/2023] Open
Abstract
Variations in body mass index (BMI) have been suggested to relate to atypical brain organization, yet connectome-level substrates of BMI and their neurobiological underpinnings remain unclear. Studying 325 healthy young adults, we examined associations between functional connectivity and inter-individual BMI variations. We utilized non-linear connectome manifold learning techniques to represent macroscale functional organization along continuous hierarchical axes that dissociate low level and higher order brain systems. We observed an increased differentiation between unimodal and heteromodal association networks in individuals with higher BMI, indicative of a disrupted modular architecture and hierarchy of the brain. Transcriptomic decoding and gene enrichment analyses identified genes previously implicated in genome-wide associations to BMI and specific cortical, striatal, and cerebellar cell types. These findings illustrate functional connectome substrates of BMI variations in healthy young adults and point to potential molecular associations.
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Seiger R, Gryglewski G, Klöbl M, Kautzky A, Godbersen GM, Rischka L, Vanicek T, Hienert M, Unterholzner J, Silberbauer LR, Michenthaler P, Handschuh P, Hahn A, Kasper S, Lanzenberger R. The Influence of Acute SSRI Administration on White Matter Microstructure in Patients Suffering From Major Depressive Disorder and Healthy Controls. Int J Neuropsychopharmacol 2021; 24:542-550. [PMID: 33667309 PMCID: PMC8299824 DOI: 10.1093/ijnp/pyab008] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 01/20/2021] [Accepted: 02/25/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Selective serotonin reuptake inhibitors (SSRIs) are predominantly prescribed for people suffering from major depressive disorder. These antidepressants exert their effects by blocking the serotonin transporter (SERT), leading to increased levels of serotonin in the synaptic cleft and subsequently to an attenuation of depressive symptoms and elevation in mood. Although long-term studies investigating white matter (WM) alterations after exposure to antidepressant treatment exist, results on the acute effects on the brain's WM microstructure are lacking. METHODS In this interventional longitudinal study, 81 participants were included (33 patients and 48 healthy controls). All participants underwent diffusion weighted imaging on 2 separate days, receiving either citalopram or placebo using a randomized, double-blind, cross-over design. Fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity were calculated within the FMRIB software library and analyzed using tract-based spatial statistics. RESULTS The repeated-measures ANOVA model revealed significant decreases after SSRI administration in mean diffusivity, axial diffusivity, and radial diffusivity regardless of the group (P < .05, family-wise error [FWE] corrected). Results were predominantly evident in frontal WM regions comprising the anterior corona radiata, corpus callosum, and external capsule and in distinct areas of the frontal blade. No increases in diffusivity were found, and no changes in fractional anisotropy were present. CONCLUSIONS Our investigation provides the first evidence, to our knowledge, that fast WM microstructure adaptations within 1 hour after i.v. SSRI administration precede elevations in mood due to SSRI treatment. These results add a new facet to the complex mode of action of antidepressant therapy. This study was registered at clinicaltrials.gov with the identifier NCT02711215.
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Affiliation(s)
- R Seiger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - G Gryglewski
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - M Klöbl
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - A Kautzky
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - G M Godbersen
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - L Rischka
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - T Vanicek
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - M Hienert
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - J Unterholzner
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - L R Silberbauer
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - P Michenthaler
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - P Handschuh
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - A Hahn
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - S Kasper
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - R Lanzenberger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria,Correspondence: Prof. Rupert Lanzenberger, PD MD, Neuroimaging Labs (NIL) – PET, MRI, EEG, TMS and Chemical Lab, Department of Psychiatry and Psychotherapy, Medical University of Vienna, Waehringer Guertel 18–20, 1090 Vienna, Austria ()
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10
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Wang Z, Bai L, Liu Q, Wang S, Sun C, Zhang M, Zhang Y. Corpus callosum integrity loss predicts cognitive impairment in Leukoaraiosis. Ann Clin Transl Neurol 2020; 7:2409-2420. [PMID: 33119959 PMCID: PMC7732249 DOI: 10.1002/acn3.51231] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 09/24/2020] [Accepted: 10/06/2020] [Indexed: 12/29/2022] Open
Abstract
Objective To investigate regional white matter fibers loss in Leukoaraiosis (LA) and its relationship with cognitive impairments. Methods Fifty‐six participants with LA and 38 healthy controls underwent clinical evaluations and MR scans. Participants with LA were classified as cognitively normal (LA‐NC, n = 18), vascular cognitive impairment of none dementia (LA‐VCIND, n = 24), and vascular dementia (LA‐VaD, n = 14) by Mini‐Mental State Examination and Clinical Dementia Rating. Cognitive domains including visual‐spatial, naming, attention, language, abstraction, memory, and orientation were assessed. With the use of Tract‐based spatial statistics, mean fractional anisotropy (FA) of major white matter fiber tracts were compared between LA and controls and among LA groups with varying levels of cognitive impairments. Regression analyses were performed to evaluate relationships between FA values and cognitive performance. Results Participants showed significant FA reduction in the corpus callosum (CC), bilateral corona radiata, anterior limb of the internal capsule, external capsule, posterior thalamic radiation, and superior longitudinal fasciculus compared to controls and across LA groups. The LA‐VaD group showed consistent damage in the body and genu of CC compared to the LA‐NC and LA‐VCIND groups. A positive correlation between visual‐spatial and FA reduction in right anterior corona radiates in LA‐VCIND and body of CC in LA‐ VaD. Interpretation We found regional fiber loss in the CC across the cognitive spectrum in patients with LA and correlations between FA and visuospatial impairment in the anterior corona radiata in patients with LA‐VCIND and in the body of CC in patients with LA‐VaD.
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Affiliation(s)
- Zhuonan Wang
- The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China.,Department of Medical Imaging, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Lijun Bai
- The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China
| | - Qi Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shan Wang
- The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China
| | - Chuanzhu Sun
- The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China
| | - Ming Zhang
- Department of Medical Imaging, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Yumei Zhang
- Department of Rehabilitation, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
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11
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Park BY, Byeon K, Lee MJ, Chung CS, Kim SH, Morys F, Bernhardt B, Dagher A, Park H. Whole-brain functional connectivity correlates of obesity phenotypes. Hum Brain Mapp 2020; 41:4912-4924. [PMID: 32804441 PMCID: PMC7643372 DOI: 10.1002/hbm.25167] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 07/09/2020] [Accepted: 08/01/2020] [Indexed: 12/11/2022] Open
Abstract
Dysregulated neural mechanisms in reward and somatosensory circuits result in an increased appetitive drive for and reduced inhibitory control of eating, which in turn causes obesity. Despite many studies investigating the brain mechanisms of obesity, the role of macroscale whole‐brain functional connectivity remains poorly understood. Here, we identified a neuroimaging‐based functional connectivity pattern associated with obesity phenotypes by using functional connectivity analysis combined with machine learning in a large‐scale (n ~ 2,400) dataset spanning four independent cohorts. We found that brain regions containing the reward circuit positively associated with obesity phenotypes, while brain regions for sensory processing showed negative associations. Our study introduces a novel perspective for understanding how the whole‐brain functional connectivity correlates with obesity phenotypes. Furthermore, we demonstrated the generalizability of our findings by correlating the functional connectivity pattern with obesity phenotypes in three independent datasets containing subjects of multiple ages and ethnicities. Our findings suggest that obesity phenotypes can be understood in terms of macroscale whole‐brain functional connectivity and have important implications for the obesity neuroimaging community.
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Affiliation(s)
- Bo-Yong Park
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada
| | - Kyoungseob Byeon
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, South Korea.,Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea
| | - Mi Ji Lee
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Chin-Sang Chung
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Se-Hong Kim
- Department of Family Medicine, St. Vincent's Hospital, Catholic University College of Medicine, Suwon, South Korea
| | - Filip Morys
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada
| | - Boris Bernhardt
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada
| | - Alain Dagher
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada
| | - Hyunjin Park
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea.,School of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon, South Korea
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12
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Lee H, Park BY, Byeon K, Won JH, Kim M, Kim SH, Park H. Multivariate association between brain function and eating disorders using sparse canonical correlation analysis. PLoS One 2020; 15:e0237511. [PMID: 32785278 PMCID: PMC7423138 DOI: 10.1371/journal.pone.0237511] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Accepted: 07/28/2020] [Indexed: 12/26/2022] Open
Abstract
Eating disorder is highly associated with obesity and it is related to brain dysfunction as well. Still, the functional substrates of the brain associated with behavioral traits of eating disorder are underexplored. Existing neuroimaging studies have explored the association between eating disorder and brain function without using all the information provided by the eating disorder related questionnaire but by adopting summary factors. Here, we aimed to investigate the multivariate association between brain function and eating disorder at fine-grained question-level information. Our study is a retrospective secondary analysis that re-analyzed resting-state functional magnetic resonance imaging of 284 participants from the enhanced Nathan Kline Institute-Rockland Sample database. Leveraging sparse canonical correlation analysis, we associated the functional connectivity of all brain regions and all questions in the eating disorder questionnaires. We found that executive- and inhibitory control-related frontoparietal networks showed positive associations with questions of restraint eating, while brain regions involved in the reward system showed negative associations. Notably, inhibitory control-related brain regions showed a positive association with the degree of obesity. Findings were well replicated in the independent validation dataset (n = 34). The results of this study might contribute to a better understanding of brain function with respect to eating disorder.
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Affiliation(s)
- Hyebin Lee
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, Korea
| | - Bo-yong Park
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada
| | - Kyoungseob Byeon
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, Korea
| | - Ji Hye Won
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, Korea
| | - Mansu Kim
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Se-Hong Kim
- Department of Family Medicine, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Suwon, Korea
| | - Hyunjin Park
- Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, Korea
- School of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon, Korea
- * E-mail:
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13
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Zhang S, Wang W, Su X, Li L, Yang X, Su J, Tan Q, Zhao Y, Sun H, Kemp GJ, Gong Q, Yue Q. White Matter Abnormalities in Anorexia Nervosa: Psychoradiologic Evidence From Meta-Analysis of Diffusion Tensor Imaging Studies Using Tract Based Spatial Statistics. Front Neurosci 2020; 14:159. [PMID: 32194371 PMCID: PMC7063983 DOI: 10.3389/fnins.2020.00159] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Accepted: 02/11/2020] [Indexed: 02/05/2023] Open
Abstract
Background: Anorexia nervosa (AN) is a debilitating illness whose neural basis remains unclear. Studies using tract-based spatial statistics (TBSS) with diffusion tensor imaging (DTI) have demonstrated differences in white matter (WM) microarchitecture in AN, but the findings are inconclusive and controversial. Objectives: To identify the most consistent WM abnormalities among previous TBSS studies of differences in WM microarchitecture in AN. Methods: By systematically searching online databases, a total of 11 datasets were identified, including 245 patients with AN and 246 healthy controls (HC). We used Seed-based d Mapping to analyze fractional anisotropy (FA) differences between AN patients and HC, and performed meta-regression analysis to explore the effects of clinical characteristics on WM abnormalities in AN. Results: The pooled results of all AN patients showed robustly lower FA in the corpus callosum (CC) and the cingulum compared to HC. These two regions preserved significance in the sensitivity analysis as well as in all subgroup analyses. Fiber tracking showed that the WM tracts primarily involved were the body of the CC and the cingulum bundle. Meta-regression analysis revealed that the body mass index and mean age were not linearly correlated with the lower FA. Conclusions: The most consistent WM microstructural differences in AN were in the interhemispheric connections and limbic association fibers. These common “targets” advance our understanding of the complex neural mechanisms underlying the puzzling symptoms of AN, and may help in developing early treatment approaches.
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Affiliation(s)
- Simin Zhang
- Department of Radiology, Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China
| | - Weina Wang
- Department of Radiology, Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China
| | - Xiaorui Su
- Department of Radiology, Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China
| | - Lei Li
- Department of Radiology, Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China
| | - Xibiao Yang
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Jingkai Su
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Qiaoyue Tan
- Department of Radiology, Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China
| | - Youjin Zhao
- Department of Radiology, Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China
| | - Huaiqiang Sun
- Department of Radiology, Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China
| | - Graham J Kemp
- Liverpool Magnetic Resonance Imaging Centre (LiMRIC) and Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, United Kingdom
| | - Qiyong Gong
- Department of Radiology, Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China
| | - Qiang Yue
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
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14
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Park BY, Byeon K, Lee MJ, Kim SH, Park H. The orbitofrontal cortex functionally links obesity and white matter hyperintensities. Sci Rep 2020; 10:2930. [PMID: 32076088 PMCID: PMC7031356 DOI: 10.1038/s41598-020-60054-x] [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: 11/07/2019] [Accepted: 02/06/2020] [Indexed: 12/13/2022] Open
Abstract
Many studies have linked dysfunction in cognitive control-related brain regions with obesity and the burden of white matter hyperintensities (WMHs). This study aimed to explore how functional connectivity differences in the brain are associated with WMH burden and degree of obesity using resting-state functional magnetic resonance imaging (fMRI) in 182 participants. Functional connectivity measures were compared among four different groups: (1) low WMH burden, non-obese; (2) low WMH burden, obese; (3) high WMH burden, non-obese; and (4) high WMH burden, obese. At a large-scale network-level, no networks showed significant interaction effects, but the frontoparietal network showed a main effect of degree of obesity. At a finer node level, the orbitofrontal cortex showed interaction effects between periventricular WMH burden and degree of obesity. Higher functional connectivity was observed when the periventricular WMH burden and degree of obesity were both high. These results indicate that the functional connectivity of the orbitofrontal cortex is affected by the mutual interaction between the periventricular WMHs and degree of obesity. Our results suggest that this region links obesity with WMHs in terms of functional connectivity.
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Affiliation(s)
- Bo-Yong Park
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, H3A 2B4, Canada
| | - Kyoungseob Byeon
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, 16419, South Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, 16419, South Korea
| | - Mi Ji Lee
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, South Korea
| | - Se-Hong Kim
- Department of Family Medicine, St. Vincent's Hospital, Catholic University College of Medicine, Suwon, 16247, South Korea
| | - Hyunjin Park
- Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, 16419, South Korea.
- School of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon, 16419, South Korea.
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15
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Meneguzzo P, Collantoni E, Solmi M, Tenconi E, Favaro A. Anorexia nervosa and diffusion weighted imaging: An open methodological question raised by a systematic review and a fractional anisotropy anatomical likelihood estimation meta-analysis. Int J Eat Disord 2019; 52:1237-1250. [PMID: 31518016 DOI: 10.1002/eat.23160] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Revised: 08/14/2019] [Accepted: 08/15/2019] [Indexed: 12/25/2022]
Abstract
BACKGROUND Anorexia nervosa (AN) is characterized by white matter abnormalities in neuroimaging studies. Fractional anisotropy (FA) is a diffusion tensor imaging (DTI) index that is considered an instrument for the evaluation of white matter alterations. However, the literature has recently pointed out the role of the partial volume effect (PVE) as a confounding factor for the identification of juxtaposed tissues. Our goal was to review the DTI literature in AN and evaluate possible confounding factors linked to the reported results. METHOD A systematic review of the literature was conducted to identify Diffusion Tensor Imaging studies of individuals with AN and, subsequently, an anatomical likelihood estimation (ALE) meta-analysis was performed on studies published before March 18, 2019. RESULTS Twenty-four studies (AN = 517, controls = 542) were included in the qualitative systematic review of the literature. Ten published studies underwent the ALE-analysis (AN = 210, controls = 229), plus data from an unpublished cohort (AN = 38, controls = 38). Two clusters of decreased FA were identified, namely in the left corona radiata, and in the left thalamus. Only one article took the PVE correction analysis into account. CONCLUSIONS The alterations identified must be considered within the limits of a possible methodological bias regarding PVE and free water and re-analysis of the data may be recommended. The preliminary data showed that the alteration of white matter pathways between the limbic structures and brain cortex may be linked to the processing of somatosensory information that could play a key role in the psychopathology of the disorder.
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Affiliation(s)
- Paolo Meneguzzo
- Department of Neurosciences, University of Padova, Padova, Italy
| | | | - Marco Solmi
- Department of Neurosciences, University of Padova, Padova, Italy.,Padova Neuroscience Center, University of Padova, Padova, Italy
| | - Elena Tenconi
- Department of Neurosciences, University of Padova, Padova, Italy.,Padova Neuroscience Center, University of Padova, Padova, Italy
| | - Angela Favaro
- Department of Neurosciences, University of Padova, Padova, Italy.,Padova Neuroscience Center, University of Padova, Padova, Italy
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16
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Gaudio S, Carducci F, Piervincenzi C, Olivo G, Schiöth HB. Altered thalamo–cortical and occipital–parietal– temporal–frontal white matter connections in patients with anorexia and bulimia nervosa: a systematic review of diffusion tensor imaging studies. J Psychiatry Neurosci 2019; 44:324-339. [PMID: 30994310 PMCID: PMC6710091 DOI: 10.1503/jpn.180121] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Anorexia nervosa and bulimia nervosa are complex mental disorders, and their etiology is still not fully understood. This paper reviews the literature on diffusion tensor imaging studies in patients with anorexia nervosa and bulimia nervosa to explore the usefulness of white matter microstructural analysis in understanding the pathophysiology of eating disorders. METHODS We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to identify diffusion tensor imaging studies that compared patients with an eating disorder to control groups. We searched relevant databases for studies published from database inception to August 2018, using combinations of select keywords. We categorized white matter tracts according to their 3 main classes: projection (i.e., thalamo–cortical), association (i.e., occipital–parietal–temporal–frontal) and commissural (e.g., corpus callosum). RESULTS We included 19 papers that investigated a total of 427 participants with current or previous eating disorders and 444 controls. Overall, the studies used different diffusion tensor imaging approaches and showed widespread white matter abnormalities in patients with eating disorders. Despite differences among the studies, patients with anorexia nervosa showed mainly white matter microstructural abnormalities of thalamo–cortical tracts (i.e., corona radiata, thalamic radiations) and occipital–parietal–temporal–frontal tracts (i.e., left superior longitudinal and inferior fronto-occipital fasciculi). It was less clear whether white matter alterations persist after recovery from anorexia nervosa. Available data on bulimia nervosa were partially similar to those for anorexia nervosa. LIMITATIONS Study sample composition and diffusion tensor imaging analysis techniques were heterogeneous. The number of studies on bulimia nervosa was too limited to be conclusive. CONCLUSION White matter microstructure appears to be affected in anorexia nervosa, and these alterations may play a role in the pathophysiology of this eating disorder. Although we found white matter alterations in bulimia nervosa that were similar to those in anorexia nervosa, white matter changes in bulimia nervosa remain poorly investigated, and these findings were less conclusive. Further studies with longitudinal designs and multi-approach analyses are needed to better understand the role of white matter changes in eating disorders.
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Affiliation(s)
- Santino Gaudio
- From the Department of Neuroscience, Functional Pharmacology, Uppsala University, Uppsala, Sweden (Gaudio, Olivo, Schiöth); the Centre for Integrated Research, Area of Diagnostic Imaging, Universita Campus Bio-Medico di Roma, Rome, Italy (Gaudio); the Department of Physiology and Pharmacology, Neuroimaging Laboratory, Sapienza University, Rome, Italy (Carducci, Piervincenzi); and the Institute for Translational Medicine and Biotechnology, Sechenov First Moscow State Medical University, Moscow, Russia (Schiöth)
| | - Filippo Carducci
- From the Department of Neuroscience, Functional Pharmacology, Uppsala University, Uppsala, Sweden (Gaudio, Olivo, Schiöth); the Centre for Integrated Research, Area of Diagnostic Imaging, Universita Campus Bio-Medico di Roma, Rome, Italy (Gaudio); the Department of Physiology and Pharmacology, Neuroimaging Laboratory, Sapienza University, Rome, Italy (Carducci, Piervincenzi); and the Institute for Translational Medicine and Biotechnology, Sechenov First Moscow State Medical University, Moscow, Russia (Schiöth)
| | - Claudia Piervincenzi
- From the Department of Neuroscience, Functional Pharmacology, Uppsala University, Uppsala, Sweden (Gaudio, Olivo, Schiöth); the Centre for Integrated Research, Area of Diagnostic Imaging, Universita Campus Bio-Medico di Roma, Rome, Italy (Gaudio); the Department of Physiology and Pharmacology, Neuroimaging Laboratory, Sapienza University, Rome, Italy (Carducci, Piervincenzi); and the Institute for Translational Medicine and Biotechnology, Sechenov First Moscow State Medical University, Moscow, Russia (Schiöth)
| | - Gaia Olivo
- From the Department of Neuroscience, Functional Pharmacology, Uppsala University, Uppsala, Sweden (Gaudio, Olivo, Schiöth); the Centre for Integrated Research, Area of Diagnostic Imaging, Universita Campus Bio-Medico di Roma, Rome, Italy (Gaudio); the Department of Physiology and Pharmacology, Neuroimaging Laboratory, Sapienza University, Rome, Italy (Carducci, Piervincenzi); and the Institute for Translational Medicine and Biotechnology, Sechenov First Moscow State Medical University, Moscow, Russia (Schiöth)
| | - Helgi B. Schiöth
- From the Department of Neuroscience, Functional Pharmacology, Uppsala University, Uppsala, Sweden (Gaudio, Olivo, Schiöth); the Centre for Integrated Research, Area of Diagnostic Imaging, Universita Campus Bio-Medico di Roma, Rome, Italy (Gaudio); the Department of Physiology and Pharmacology, Neuroimaging Laboratory, Sapienza University, Rome, Italy (Carducci, Piervincenzi); and the Institute for Translational Medicine and Biotechnology, Sechenov First Moscow State Medical University, Moscow, Russia (Schiöth)
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17
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von Schwanenflug N, Müller DK, King JA, Ritschel F, Bernardoni F, Mohammadi S, Geisler D, Roessner V, Biemann R, Marxen M, Ehrlich S. Dynamic changes in white matter microstructure in anorexia nervosa: findings from a longitudinal study. Psychol Med 2019; 49:1555-1564. [PMID: 30149815 DOI: 10.1017/s003329171800212x] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Gray matter (GM) 'pseudoatrophy' is well-documented in patients with anorexia nervosa (AN), but changes in white matter (WM) are less well understood. Here we investigated the dynamics of microstructural WM brain changes in AN patients during short-term weight restoration in a combined longitudinal and cross-sectional study design. METHODS Diffusion-weighted images were acquired in young AN patients before (acAN-Tp1, n = 56) and after (acAN-Tp2, n = 44) short-term weight restoration as well as in age-matched healthy controls (HC, n = 60). Images were processed using Tract-Based-Spatial-Statistics to compare fractional anisotropy (FA) across groups and timepoints. RESULTS In the cross-sectional comparison, FA was significantly reduced in the callosal body in acAN-Tp1 compared with HC, while no differences were found between acAN-Tp2 and HC. In the longitudinal arm, FA increased with weight gain in acAN-Tp2 relative to acAN-Tp1 in large parts of the callosal body and the fornix, while it decreased in the right corticospinal tract. CONCLUSIONS Our findings reveal that dynamic, bidirectional changes in WM microstructure in young underweight patients with AN can be reversed with brief weight restoration therapy. These results parallel those previously observed in GM and suggest that alterations in WM in non-chronic AN are also state-dependent and rapidly reversible with successful intervention.
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Affiliation(s)
- Nina von Schwanenflug
- Division of Psychological and Social Medicine and Developmental Neuroscience,Faculty of Medicine,Technische Universität Dresden,Dresden,Germany
| | - Dirk K Müller
- Department of Psychiatry and Neuroimaging Center,Technische Universität Dresden,Dresden,Germany
| | - Joseph A King
- Division of Psychological and Social Medicine and Developmental Neuroscience,Faculty of Medicine,Technische Universität Dresden,Dresden,Germany
| | - Franziska Ritschel
- Division of Psychological and Social Medicine and Developmental Neuroscience,Faculty of Medicine,Technische Universität Dresden,Dresden,Germany
| | - Fabio Bernardoni
- Division of Psychological and Social Medicine and Developmental Neuroscience,Faculty of Medicine,Technische Universität Dresden,Dresden,Germany
| | - Siawoosh Mohammadi
- Department of Systems Neuroscience,Medical Center Hamburg-Eppendorf,Hamburg,Germany
| | - Daniel Geisler
- Division of Psychological and Social Medicine and Developmental Neuroscience,Faculty of Medicine,Technische Universität Dresden,Dresden,Germany
| | - Veit Roessner
- Department of Child and Adolescent Psychiatry,Faculty of Medicine,Eating Disorder Research and Treatment Center, Technische Universität Dresden,Dresden,Germany
| | - Ronald Biemann
- Institute of Clinical Chemistry and Pathobiochemistry, Otto-von-Guericke University,Magdeburg,Germany
| | - Michael Marxen
- Department of Psychiatry and Neuroimaging Center,Technische Universität Dresden,Dresden,Germany
| | - Stefan Ehrlich
- Division of Psychological and Social Medicine and Developmental Neuroscience,Faculty of Medicine,Technische Universität Dresden,Dresden,Germany
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18
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Barona M, Brown M, Clark C, Frangou S, White T, Micali N. White matter alterations in anorexia nervosa: Evidence from a voxel-based meta-analysis. Neurosci Biobehav Rev 2019; 100:285-295. [PMID: 30851283 DOI: 10.1016/j.neubiorev.2019.03.002] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Revised: 02/08/2019] [Accepted: 03/05/2019] [Indexed: 02/06/2023]
Abstract
Anorexia nervosa (AN) is a severe psychiatric disorder with a complex and poorly understood etiology. Recent studies have sought to investigate differences in white matter microstructure in AN, with significant results in several brain regions. A systematic literature search of Embase, PubMed and Psychinfo databases was conducted in order to identify Diffusion Tensor Imaging (DTI) studies of patients with AN and controls. We performed a meta-analysis of studies that met our inclusion criteria (N = 13) using effect size-signed differential mapping (AES-SDM) to detect differences in Fractional Anisotropy (FA) in patients with AN (N = 227) compared to healthy controls (N = 243). The quantitative meta-analysis of DTI studies identified decreased FA in the posterior areas of the corpus callosum, the left superior longitudinal fasciculus II, and the left precentral gyrus, as well as increased FA in the right cortico-spinal projections, and lingual gyrus in AN vs. controls. Studies of WM architecture are still limited in AN; further studies with longitudinal design are needed to better understand the complexity of abnormalities, and their persistence.
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Affiliation(s)
- Manuela Barona
- UCL Great Ormond Street Institute of Child Health, London, UK
| | - Melanie Brown
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, USA
| | | | - Sophia Frangou
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Tonya White
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Nadia Micali
- UCL Great Ormond Street Institute of Child Health, London, UK; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, USA; Department of Psychiatry, University of Geneva, Geneva, Switzerland.
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19
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Olivo G, Swenne I, Zhukovsky C, Tuunainen A, Saaid A, Salonen‐Ros H, Larsson E, Brooks SJ, Schiöth HB. Preserved white matter microstructure in adolescent patients with atypical anorexia nervosa. Int J Eat Disord 2019; 52:166-174. [PMID: 30676658 PMCID: PMC6590352 DOI: 10.1002/eat.23012] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Revised: 12/10/2018] [Accepted: 12/17/2018] [Indexed: 12/17/2022]
Abstract
OBJECTIVE Patients with atypical anorexia nervosa (AN) are often in the normal-weight range at presentation; however, signs of starvation and medical instability are not rare. White matter (WM) microstructural correlates of atypical AN have not yet been investigated, leaving an important gap in our knowledge regarding the neural pathogenesis of this disorder. METHOD We investigated WM microstructural integrity in 25 drug-naïve adolescent patients with atypical AN and 25 healthy controls, using diffusion tensor imaging (DTI) with a tract-based spatial statistics (TBSS) approach. Psychological variables related to the eating disorder and depressive symptoms were also evaluated by administering the eating disorder examination questionnaire (EDE-Q) and the Montgomery-Åsberg depression rating scale (MADRS-S) respectively, to all participants. RESULTS Patients and controls were in the normal-weight range and did not differ from the body mass index standard deviations for their age. No between groups difference in WM microstructure could be detected. DISCUSSION Our findings support the hypothesis that brain structural alterations may not be associated to early-stage atypical AN. These findings also suggest that previous observations of alterations in WM microstructure in full syndrome AN may constitute state-related consequences of severe weight loss. Whether the preservation of WM structure is a pathogenetically discriminant feature of atypical AN or only an effect of a less severe nutritional disturbance, will have to be verified by future studies on larger samples, possibly directly comparing AN and atypical AN.
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Affiliation(s)
- Gaia Olivo
- Department of Neuroscience, Functional PharmacologyUppsala UniversityUppsalaSweden
| | - Ingemar Swenne
- Department of Women's and Children's HealthUppsala UniversityUppsalaSweden
| | - Christina Zhukovsky
- Department of Neuroscience, Functional PharmacologyUppsala UniversityUppsalaSweden
| | - Anna‐Kaisa Tuunainen
- Department of Neuroscience, Functional PharmacologyUppsala UniversityUppsalaSweden
| | - Avista Saaid
- Department of Neuroscience, Functional PharmacologyUppsala UniversityUppsalaSweden
| | - Helena Salonen‐Ros
- Department of Neuroscience, Child and Adolescent PsychiatryUppsala UniversityUppsalaSweden
| | - Elna‐Marie Larsson
- Department of Surgical Sciences, RadiologyUppsala UniversityUppsalaSweden
| | - Samantha J. Brooks
- Department of Human BiologyUniversity of Cape TownCape TownSouth Africa,School of Natural Sciences and PsychologyResearch Centre for Brain & BehaviourLiverpoolUnited Kingdom
| | - Helgi B. Schiöth
- Department of Neuroscience, Functional PharmacologyUppsala UniversityUppsalaSweden
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20
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Park BY, Lee MJ, Kim M, Kim SH, Park H. Structural and Functional Brain Connectivity Changes Between People With Abdominal and Non-abdominal Obesity and Their Association With Behaviors of Eating Disorders. Front Neurosci 2018; 12:741. [PMID: 30364290 PMCID: PMC6193119 DOI: 10.3389/fnins.2018.00741] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2018] [Accepted: 09/26/2018] [Indexed: 12/13/2022] Open
Abstract
Abdominal obesity is important for understanding obesity, which is a worldwide medical problem. We explored structural and functional brain differences in people with abdominal and non-abdominal obesity by using multimodal neuroimaging and up-to-date analysis methods. A total of 274 overweight people, whose body mass index exceeded 25, were enrolled in this study. Participants were divided into abdominal and non-abdominal obesity groups using a waist–hip ratio threshold of 0.9 for males and 0.85 for females. Structural and functional brain differences were assessed with diffusion tensor imaging and resting-state functional magnetic resonance imaging. Centrality measures were computed from structural fiber tractography, and static and dynamic functional connectivity matrices. Significant inter-group differences in structural and functional connectivity were found using degree centrality (DC) values. The associations between the DC values of the identified regions/networks and behaviors of eating disorder scores were explored. The highest association was achieved by combining DC values of the cerebral peduncle, anterior corona radiata, posterior corona radiata (from structural connectivity), frontoparietal network (from static connectivity), and executive control network (from dynamic connectivity) compared to the use of structural or functional connectivity only. Our results demonstrated the effectiveness of multimodal imaging data and found brain regions or networks that may be responsible for behaviors of eating disorders in people with abdominal obesity.
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Affiliation(s)
- Bo-Yong Park
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, South Korea.,Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea
| | - Mi Ji Lee
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Mansu Kim
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, South Korea.,Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea
| | - Se-Hong Kim
- Department of Family Medicine, St. Vincent's Hospital, Catholic University College of Medicine, Suwon, South Korea
| | - Hyunjin Park
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea.,School of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon, South Korea
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Structural Neuroimaging of Anorexia Nervosa: Future Directions in the Quest for Mechanisms Underlying Dynamic Alterations. Biol Psychiatry 2018; 83:224-234. [PMID: 28967386 PMCID: PMC6053269 DOI: 10.1016/j.biopsych.2017.08.011] [Citation(s) in RCA: 101] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2017] [Revised: 07/21/2017] [Accepted: 08/14/2017] [Indexed: 02/07/2023]
Abstract
Anorexia nervosa (AN) is a serious eating disorder characterized by self-starvation and extreme weight loss. Pseudoatrophic brain changes are often readily visible in individual brain scans, and AN may be a valuable model disorder to study structural neuroplasticity. Structural magnetic resonance imaging studies have found reduced gray matter volume and cortical thinning in acutely underweight patients to normalize following successful treatment. However, some well-controlled studies have found regionally greater gray matter and persistence of structural alterations following long-term recovery. Findings from diffusion tensor imaging studies of white matter integrity and connectivity are also inconsistent. Furthermore, despite the severity of AN, the number of existing structural neuroimaging studies is still relatively low, and our knowledge of the underlying cellular and molecular mechanisms for macrostructural brain changes is rudimentary. We critically review the current state of structural neuroimaging in AN and discuss the potential neurobiological basis of structural brain alterations in the disorder, highlighting impediments to progress, recent developments, and promising future directions. In particular, we argue for the utility of more standardized data collection, adopting a connectomics approach to understanding brain network architecture, employing advanced magnetic resonance imaging methods that quantify biomarkers of brain tissue microstructure, integrating data from multiple imaging modalities, strategic longitudinal observation during weight restoration, and large-scale data pooling. Our overarching objective is to motivate carefully controlled research of brain structure in eating disorders, which will ultimately help predict therapeutic response and improve treatment.
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Correction: Limbic-thalamo-cortical projections and reward-related circuitry integrity affects eating behavior: A longitudinal DTI study in adolescents with restrictive eating disorders. PLoS One 2017; 12:e0176646. [PMID: 28426755 PMCID: PMC5398699 DOI: 10.1371/journal.pone.0176646] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
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