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Felicetti F, Ruggieri S, Ruotolo I, Livi C, Sellitto G, D'Ambrosi G, Nistri R, Ianniello A, Borriello G, Pozzilli C, Petracca M. Improvement of measured and perceived disability in overweight patients with Multiple Sclerosis trough different patterns of Mediterranean hypocaloric diet. Mult Scler Relat Disord 2025; 94:106271. [PMID: 39823692 DOI: 10.1016/j.msard.2025.106271] [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: 04/12/2024] [Revised: 12/21/2024] [Accepted: 01/12/2025] [Indexed: 01/20/2025]
Abstract
OBJECTIVES overweight and other cardiovascular risk factors are known contributors to disability accrual in Multiple Sclerosis (MS). We aimed to explore the impact of three hypocaloric dietetic patterns, based on the Mediterranean diet, on cardiovascular risk and clinical status in overweight persons with MS (pwMS). MATERIAL AND METHODS overweight pwMS (body mass index-BMI ≥25 kg/m2) were prospectively enrolled, randomly allocated to three hypocaloric dietetic plans differing in macronutrients composition (carbohydrates/proteins/lipids: diet A 65 %/15 %/20 %; diet B 35 %/25 %/40 %; diet C 50 %/20 %/30 %) and followed-up for 1 year (6 months of dietetic intervention + 6 months of observation). The Multiple Sclerosis Performance Test, a self-administered, iPad®-based system for quantifying cognition, upper and lower extremity motor function, and vision was performed at baseline, 6 and 12 months. Questionnaires for the evaluation of sleep quality, fatigue, anxiety, depression, stigma, social participation and satisfaction were administered. Information about cardiovascular risk parameters (BMI, waist circumference-WC, umbilical circumference-UC, hip circumference-HP, blood pressure, HDL and LDL cholesterol, triglycerides, glycemia) were collected. Adherence to the dietetic plan was quantified as days of complete to insufficient adherence across the treatment period. Between-group comparisons were performed with Chi-square and ANOVA; longitudinal analyses with one-way ANOVA for repeated measures and mixed-design ANOVA. RESULTS fifty-three patients completed the study (diet A n = 19, diet B n = 18, diet C n = 16). The three groups were well matched for sex, age, disease duration and EDSS. Along the 6 months of dietetic intervention, no difference in adherence was detected across the three dietetic plans (p = 0.84). Overall, patients showed a significant weight loss over time (p < 0.001) with no difference across diets (p = 0.34). BMI, WC, UC, HC and cholesterol improved over time (p ranging from 0.06 to 0.001), with no differences across diets (p ranging from 0.16 to 0.58). Among all tested clinical variables, fatigue, anxiety, information processing speed and manual dexterity improved significantly (p = 0.005, p = 0.012, p = 0.013, p = 0.005), with no differences across diets (p = 0.84, p = 0.89, p = 0.53, p = 0.72). CONCLUSION dietetic interventions in overweight pwMS, irrespective of their specific macronutrients composition, are able to improve the cardiovascular profile, the perception of subjective symptoms as well as objective disability scores.
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Affiliation(s)
| | - Serena Ruggieri
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | | | - Chiara Livi
- MS Center, Sant'Andrea Hospital, Rome, Italy
| | - Giovanni Sellitto
- MS Center, Sant'Andrea Hospital, Rome, Italy; Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | | | | | - Antonio Ianniello
- MS Center, Sant'Andrea Hospital, Rome, Italy; Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Giovanna Borriello
- MS Center, Neurology Unit, Fatebenefratelli San Pietro Hospital, Rome, Italy
| | - Carlo Pozzilli
- MS Center, Sant'Andrea Hospital, Rome, Italy; Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Maria Petracca
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy.
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Nyári A, Kokas Z, Szamosi S, Fricska-Nagy Z, Kincses ZT, Füvesi J, Biernacki T, Klivényi P, Bencsik K, Sandi D. Fatigue and depression influence the prevalence of anxiety in patients with multiple sclerosis. Neurol Sci 2025; 46:325-334. [PMID: 39174771 DOI: 10.1007/s10072-024-07737-9] [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: 05/09/2024] [Accepted: 08/19/2024] [Indexed: 08/24/2024]
Abstract
BACKGROUND There is scarce information in Middle-Eastern Europe regarding the prevalence of anxiety in patients with multiple sclerosis (pwMS) and its association with different clinical-demographic factors. OBJECTIVE We aimed to determine the prevalence of anxiety in Hungarian MS patients and to analyze associated factors. MATERIALS AND METHODS We evaluated 260 PwMS with the STAI-5 anxiety questionnaire. Fatigue (FIS), depression (BDI-II) and cognition (BICAMS) were also measured. Patients underwent standard neurological evaluations to evaluate Expanded Disability Status Scale (EDSS), and also measured the fine motor skills of the hand with the 9-hole peg test (9HPT), and the walking distance with the 25-foot walking test (T25FW). RESULTS We identified 23.1% (N = 60) of the patients with anxiety (only state, trait or both forms concurrently). According to our two univariate, multivariable logistic regression analysis, fatigue and depression are strongly associated with both state and trait anxiety. In the absence of fatigue, the odds of trait anxiety are 82% lower (OR: 0.18; 95% CI: 0.06-0.53; p = 0.002), while in the case of pwMS without depression, the odds are reduced by 81% (OR: 0.19; CI95%= 0.07-0.51, p = 0.001). This association with fatigue (OR: 0.33; CI95%= 0.13-0.85, p = 0.021) and depression (OR: 0.14; CI95%=0.06-0.35; p < 0.001) can also be statistically verified on state anxiety. Importantly, a significant association with state anxiety was found in SPSM patients as well (OR: 34.94; CI95%=2.55-479.61; p = 0.008). CONCLUSIONS Anxiety was strongly associated with fatigue, depression, and secondary progressive disease form. These results emphasize the burden of psychiatric morbidity in pwMS.
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Affiliation(s)
- Aliz Nyári
- Department of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary
| | - Zsófia Kokas
- Department of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary
| | - Szabolcs Szamosi
- Department of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary
| | - Zsanett Fricska-Nagy
- Department of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary
| | - Zsigmond Tamás Kincses
- Department of Radiology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary
| | - Judit Füvesi
- Department of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary
| | - Tamás Biernacki
- Department of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary
| | - Péter Klivényi
- Department of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary
| | - Krisztina Bencsik
- Department of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary
| | - Dániel Sandi
- Department of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary.
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3
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Jellinger KA. Behavioral disorders in multiple sclerosis: a comprehensive review. J Neural Transm (Vienna) 2025; 132:1-22. [PMID: 39231817 DOI: 10.1007/s00702-024-02816-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Accepted: 07/28/2024] [Indexed: 09/06/2024]
Abstract
Multiple sclerosis (MS) is a heterogenous autoimmune-mediated disease of the central nervous system (CNS) characterized by inflammation, demyelination and chronic progressive neurodegeneration. Among its broad and unpredictable range of neuropsychiatric symptoms, behavioral changes are common, even from the early stages of the disease, while they are associated with cognitive deficits in advanced MS. According to DSM-5, behavioral disorders include attention deficits, oppositional, defiant and conduct disorders, anxiety, panic, obsessive-compulsive disorders (OCD), disruptive and emotional disorders, while others include also irritability, agitation, aggression and executive dysfunctions. Approximately 30 to 80% of individuals with MS demonstrate behavioral changes associated with disease progression. They are often combined with depression and other neuropsychiatric disorders, but usually not correlated with motor deficits, suggesting different pathomechanisms. These and other alterations contribute to disability in MS. While no specific neuropathological data for behavioral changes in MS are available, those in demyelination animal models share similarities with white matter and neuroinflammatory abnormalities in humans. Neuroimaging revealed prefrontal cortical atrophy, interhemispheric inhibition and disruption of fronto-striato-thalamic and frontoparietal networks. This indicates multi-regional patterns of cerebral disturbances within the MS pathology although their pathogenic mechanisms await further elucidation. Benefits of social, psychological, behavioral interventions and exercise were reported. Based on systematical analysis of PubMed, Google Scholar and Cochrane library, current epidemiological, clinical, neuroimaging and pathogenetic evidence are reviewed that may aid early identification of behavioral symptoms in MS, and promote new therapeutic targets and strategies.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, Vienna, A-1150, Austria.
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4
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Khormi I, Fazlollahi A, Al-iedani O, Vidyasagar R, Ayton S, Alshehri A, Paton B, Ramadan S, Lechner-Scott J. Quantitative susceptibility mapping of the fear circuit: Associations with silent symptoms in relapsing-remitting multiple sclerosis. Neuroradiol J 2024:19714009241303123. [PMID: 39631056 PMCID: PMC11618841 DOI: 10.1177/19714009241303123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2024] Open
Abstract
Background: Multiple sclerosis (MS) is a long-term autoimmune inflammatory disorder that affects the central nervous system leading to neurodegeneration, and can involve a variety of symptoms. These symptoms can include fatigue, anxiety, depression, and cognitive decline, which may be silent. The objective of this study was to explore changes in brain iron deposition in people with relapsing-remitting MS (pw-RRMS) compared to healthy controls (HCs), with a particular focus on regions of fear circuit. Additionally, the study aimed to evaluate relationship between iron deposition in these areas and clinical measurements. Methods: Pw-RRMS and HCs participants underwent brain MRI scans using quantitative susceptibility mapping (QSM) to assess iron deposition in the fear circuit between the two groups. The study analyzed correlations between brain susceptibility changes and clinical measurements. Results: We recruited 35 pw-RRMS (mean age = 46.7 ± 11 years; median EDSS = 2.5) and 18 HCs (mean age = 40.6 ± 17.8 years). Our research revealed significant increases in QSM signals relating to iron deposition in pw-RRMS compared to HCs, whole fear circuit (β = 5.82, p < 0.001), caudate (β = 21.48, p < 0.001), and putamen (β = 17.53, p = 0.03), showing the greatest difference. The whole fear circuit and particularly the caudate are strongly associated with fatigue in pw-RRMS. QSM values in the anterior cingulate cortex significantly differed between pw-RRMS with normal and abnormal depression scores (p = 0.007). Conclusions: These results strengthen the relationship between increased iron deposition in fear circuit regions and specific silent symptoms in pw-RRMS. However, further studies are required to confirm these findings and clarify the implications of iron accumulation in MS pathophysiology.
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Affiliation(s)
- Ibrahim Khormi
- School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Department of Applied Radiologic Technology, College of Applied Medical Sciences, University of Jeddah, Jeddah, Saudi Arabia
| | - Amir Fazlollahi
- Department of Radiology, University of Melbourne, Melbourne, VIC, Australia
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Oun Al-iedani
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, Australia
| | - Rishma Vidyasagar
- Department of Radiology, University of Melbourne, Melbourne, VIC, Australia
| | - Scott Ayton
- The Florey Institute of Neuroscience and Mental Health, Melbourne, VIC, Australia
- The Florey Department of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Abdulaziz Alshehri
- School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Department of Radiology, King Fahd Hospital of the University, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Bryan Paton
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- School of Psychological Sciences, College of Engineering, Science, and the Environment, University of Newcastle, Callaghan, NSW, Australia
| | - Saadallah Ramadan
- School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Jeannette Lechner-Scott
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Department of Neurology, John Hunter Hospital, New Lambton Heights, Australia
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, Australia
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Tüscher O, Muthuraman M, Horstmann JP, Horta G, Radyushkin K, Baumgart J, Sigurdsson T, Endle H, Ji H, Kuhnhäuser P, Götz J, Kepser LJ, Lotze M, Grabe HJ, Völzke H, Leehr EJ, Meinert S, Opel N, Richers S, Stroh A, Daun S, Tittgemeyer M, Uphaus T, Steffen F, Zipp F, Groß J, Groppa S, Dannlowski U, Nitsch R, Vogt J. Altered cortical synaptic lipid signaling leads to intermediate phenotypes of mental disorders. Mol Psychiatry 2024; 29:3537-3552. [PMID: 38806692 PMCID: PMC11541086 DOI: 10.1038/s41380-024-02598-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Revised: 04/23/2024] [Accepted: 05/03/2024] [Indexed: 05/30/2024]
Abstract
Excitation/inhibition (E/I) balance plays important roles in mental disorders. Bioactive phospholipids like lysophosphatidic acid (LPA) are synthesized by the enzyme autotaxin (ATX) at cortical synapses and modulate glutamatergic transmission, and eventually alter E/I balance of cortical networks. Here, we analyzed functional consequences of altered E/I balance in 25 human subjects induced by genetic disruption of the synaptic lipid signaling modifier PRG-1, which were compared to 25 age and sex matched control subjects. Furthermore, we tested therapeutic options targeting ATX in a related mouse line. Using EEG combined with TMS in an instructed fear paradigm, neuropsychological analysis and an fMRI based episodic memory task, we found intermediate phenotypes of mental disorders in human carriers of a loss-of-function single nucleotide polymorphism of PRG-1 (PRG-1R345T/WT). Prg-1R346T/WT animals phenocopied human carriers showing increased anxiety, a depressive phenotype and lower stress resilience. Network analysis revealed that coherence and phase-amplitude coupling were altered by PRG-1 deficiency in memory related circuits in humans and mice alike. Brain oscillation phenotypes were restored by inhibtion of ATX in Prg-1 deficient mice indicating an interventional potential for mental disorders.
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Affiliation(s)
- Oliver Tüscher
- Department of Psychiatry and Psychotherapy, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
- Leibniz Institute for Resilience Research Mainz, Mainz, Germany
- Institute for Molecular Biology Mainz, Mainz, Germany
| | - Muthuraman Muthuraman
- Department of Neurology, Johannes Gutenberg-University Mainz, Mainz, Germany
- Department of Neurology, Neural engineering with Signal Analytics and Artificial Intelligence (NESA-AI), University Hospital of Würzburg, Würzburg, Germany
- Informatics for Medical Technology, University Augsburg, Augsburg, Germany
| | - Johann-Philipp Horstmann
- Department of Psychiatry and Psychotherapy, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Guilherme Horta
- Focus Program Translational Neuroscience, Johannes Gutenberg-University Mainz, Mainz, Germany
- Institute of Anatomy, University Medical Center Mainz, Mainz, Germany
| | - Konstantin Radyushkin
- TARC, Translational Animal Research Center, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Jan Baumgart
- TARC, Translational Animal Research Center, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Torfi Sigurdsson
- Institute of Neurophysiology, University Medical Center, Goethe-University Frankfurt, Frankfurt, Germany
| | - Heiko Endle
- Department of Molecular and Translational Neuroscience, Institute of Anatomy II, Cluster of Excellence-Cellular Stress Response in Aging-Associated Diseases (CECAD), Center of Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | - Haichao Ji
- Department of Molecular and Translational Neuroscience, Institute of Anatomy II, Cluster of Excellence-Cellular Stress Response in Aging-Associated Diseases (CECAD), Center of Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | - Prisca Kuhnhäuser
- Department of Molecular and Translational Neuroscience, Institute of Anatomy II, Cluster of Excellence-Cellular Stress Response in Aging-Associated Diseases (CECAD), Center of Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | - Jan Götz
- Department of Molecular and Translational Neuroscience, Institute of Anatomy II, Cluster of Excellence-Cellular Stress Response in Aging-Associated Diseases (CECAD), Center of Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | - Lara-Jane Kepser
- Department of Molecular and Translational Neuroscience, Institute of Anatomy II, Cluster of Excellence-Cellular Stress Response in Aging-Associated Diseases (CECAD), Center of Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | - Martin Lotze
- Functional Imaging Unit, Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Henry Völzke
- Department SHIP/Clinical Epidemiological Research, Institute of Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Elisabeth J Leehr
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- Institute for Translational Neuroscience, University of Münster, Münster, Germany
| | - Susanne Meinert
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- Institute for Translational Neuroscience, University of Münster, Münster, Germany
| | - Nils Opel
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Sebastian Richers
- Institute for Translational Neuroscience, University of Münster, Münster, Germany
| | - Albrecht Stroh
- Institute of Pathophysiology, Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Silvia Daun
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (IMN-3), Research Centre Jülich, Jülich, Germany
| | - Marc Tittgemeyer
- Max Planck Institute of Metabolism Research, Cologne, Cluster of Excellence-Cellular Stress Response in Aging-Associated Diseases (CECAD), Cologne, Germany
| | - Timo Uphaus
- Department of Neurology, Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Falk Steffen
- Department of Neurology, Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Frauke Zipp
- Department of Neurology, Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Joachim Groß
- Institute for Biomagnetism and Biosignalanalysis, University of Münster, Münster, Germany
| | - Sergiu Groppa
- Department of Neurology, Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Robert Nitsch
- Institute for Translational Neuroscience, University of Münster, Münster, Germany.
| | - Johannes Vogt
- Department of Neurology, Johannes Gutenberg-University Mainz, Mainz, Germany.
- Department of Molecular and Translational Neuroscience, Institute of Anatomy II, Cluster of Excellence-Cellular Stress Response in Aging-Associated Diseases (CECAD), Center of Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany.
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Baller EB, Luo AC, Schindler MK, Cooper EC, Pecsok MK, Cieslak MC, Martin ML, Bar-Or A, Elahi A, Perrone CM, Reid D, Spangler BC, Satterthwaite TD, Shinohara RT. Association of Anxiety with Uncinate Fasciculus Lesion Burden in Multiple Sclerosis. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.10.08.24315108. [PMID: 39417125 PMCID: PMC11482984 DOI: 10.1101/2024.10.08.24315108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 10/19/2024]
Abstract
Importance Multiple sclerosis (MS) is an immune-mediated neurological disorder that affects 2.4 million people world-wide, and up to 60% experience anxiety. Objective We investigated how anxiety in MS is associated with white matter lesion burden in the uncinate fasciculus (UF). Design Retrospective case-control study of participants who received research-quality 3-tesla (3T) neuroimaging as part of MS clinical care from 2010-2018. Analyses were performed from June 1st to September 30th, 2024. Setting Single-center academic medical specialty MS clinic. Participants Participants were identified from the electronic medical record. All participants were diagnosed by an MS specialist and completed research-quality MRI at 3T. After excluding participants with poor image quality, 372 were stratified into three groups which were balanced for age and sex: 1) MS without anxiety (MS+noA, n=99); 2) MS with mild anxiety (MS+mildA, n=249); and 3) MS with severe anxiety (MS+severeA, n=24). Exposure Anxiety diagnosis and anxiolytic medication. Main Outcome and Measure We first evaluated whether MS+severeA patients had greater lesion burden in the UF than MS+noA. Next, we examined whether increasing anxiety severity was associated with greater UF lesion burden. Generalized additive models were employed, with the burden of lesions (e.g. proportion of fascicle impacted) within the UF as the outcome measure and sex and spline of age as covariates. Results UF burden was higher in MS+severeA as compared to MS+noA (T=2.02, P=0.045, Cohen's f 2=0.19). A dose-response effect was also found, where higher mean UF burden was associated with higher anxiety severity (T=2.08, P=0.038, Cohen's f 2=0.10). Conclusions and Relevance We demonstrate that overall lesion burden in UF was associated with the presence and severity of anxiety in patients with MS. Future studies linking white matter lesion burden in UF with treatment prognosis are warranted.
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Affiliation(s)
- Erica B. Baller
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA USA
- Penn Lifespan Informatics and Neuroimaging Center (PennLINC), Philadelphia, PA USA
| | - Audrey C. Luo
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA USA
- Penn Lifespan Informatics and Neuroimaging Center (PennLINC), Philadelphia, PA USA
| | - Matthew K. Schindler
- Department of Neurology, University of Pennsylvania, Philadelphia, PA USA
- Center for Neuroinflammation and Neurotherapeutics, University of Pennsylvania, Philadelphia, PA USA
| | - Elena C. Cooper
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA USA
- Penn Lifespan Informatics and Neuroimaging Center (PennLINC), Philadelphia, PA USA
| | - Margaret K. Pecsok
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA USA
| | - Matthew C. Cieslak
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA USA
- Penn Lifespan Informatics and Neuroimaging Center (PennLINC), Philadelphia, PA USA
| | - Melissa Lynne Martin
- Penn Statistics in Imaging and Visualization Center (PennSIVE), Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA USA
| | - Amit Bar-Or
- Department of Neurology, University of Pennsylvania, Philadelphia, PA USA
- Center for Neuroinflammation and Neurotherapeutics, University of Pennsylvania, Philadelphia, PA USA
| | - Ameena Elahi
- Department of Information Services, University of Pennsylvania, Philadelphia, PA USA
| | - Christopher M. Perrone
- Department of Neurology, University of Pennsylvania, Philadelphia, PA USA
- Center for Neuroinflammation and Neurotherapeutics, University of Pennsylvania, Philadelphia, PA USA
| | - Donovan Reid
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA USA
| | - Bailey C. Spangler
- Penn Statistics in Imaging and Visualization Center (PennSIVE), Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA USA
| | - Theodore D. Satterthwaite
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA USA
- Penn Lifespan Informatics and Neuroimaging Center (PennLINC), Philadelphia, PA USA
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA USA
| | - Russell T. Shinohara
- Penn Statistics in Imaging and Visualization Center (PennSIVE), Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA USA
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA USA
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7
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Chu M, Jiang D, Li D, Yan S, Liu L, Nan H, Wang Y, Wang Y, Yue A, Ren L, Chen K, Rosa-Neto P, Lu J, Wu L. Atrophy network mapping of clinical subtypes and main symptoms in frontotemporal dementia. Brain 2024; 147:3048-3058. [PMID: 38426222 PMCID: PMC11370799 DOI: 10.1093/brain/awae067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 12/18/2023] [Accepted: 02/10/2024] [Indexed: 03/02/2024] Open
Abstract
Frontotemporal dementia (FTD) is a disease of high heterogeneity, apathy and disinhibition present in all subtypes of FTD and imposes a significant burden on families/society. Traditional neuroimaging analysis has limitations in elucidating the network localization due to individual clinical and neuroanatomical variability. The study aims to identify the atrophy network map associated with different FTD clinical subtypes and determine the specific localization of the network for apathy and disinhibition. Eighty FTD patients [45 behavioural variant FTD (bvFTD) and 35 semantic variant progressive primary aphasia (svPPA)] and 58 healthy controls at Xuanwu Hospital were enrolled as Dataset 1; 112 FTD patients including 50 bvFTD, 32 svPPA and 30 non-fluent variant PPA (nfvPPA) cases, and 110 healthy controls from the Frontotemporal Lobar Degeneration Neuroimaging Initiative (FTLDNI) dataset were included as Dataset 2. Initially, single-subject atrophy maps were defined by comparing cortical thickness in each FTD patient versus healthy controls. Next, the network of brain regions functionally connected to each FTD patient's location of atrophy was determined using seed-based functional connectivity in a large (n = 1000) normative connectome. Finally, we used atrophy network mapping to define clinical subtype-specific network (45 bvFTD, 35 svPPA and 58 healthy controls in Dataset 1; 50 bvFTD, 32 svPPA, 30 nfvPPA and 110 healthy controls in Dataset 2) and symptom-specific networks [combined Datasets 1 and 2, apathy without depression versus non-apathy without depression (80:26), disinhibition versus non-disinhibition (88:68)]. We compare the result with matched symptom networks derived from patients with focal brain lesions or conjunction analysis. Through the analysis of two datasets, we identified heterogeneity in atrophy patterns among FTD patients. However, these atrophy patterns are connected to a common brain network. The primary regions affected by atrophy in FTD included the frontal and temporal lobes, particularly the anterior temporal lobe. bvFTD connects to frontal and temporal cortical areas, svPPA mainly impacts the anterior temporal region and nfvPPA targets the inferior frontal gyrus and precentral cortex regions. The apathy-specific network was localized in the orbital frontal cortex and ventral striatum, while the disinhibition-specific network was localized in the bilateral orbital frontal gyrus and right temporal lobe. Apathy and disinhibition atrophy networks resemble known motivational and criminal lesion networks, respectively. A significant correlation was found between the apathy/disinhibition scores and functional connectivity between atrophy maps and the peak of the networks. This study localizes the common network of clinical subtypes and main symptoms in FTD, guiding future FTD neuromodulation interventions.
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Affiliation(s)
- Min Chu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Deming Jiang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Dan Li
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Shaozhen Yan
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Li Liu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Haitian Nan
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Yingtao Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Yihao Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Ailing Yue
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Liankun Ren
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Kewei Chen
- School of Mathematics and Statistics, Banner Alzheimer’s Institute, University of Arizona, Arizona Alzheimer’s Consortium, Arizona State University, Tempe, AZ 85014-3666, USA
| | - Pedro Rosa-Neto
- McGill Centre for Studies in Aging, Alzheimer’s Disease Research Unit, Montreal H4H 1R3, Canada
| | - Jie Lu
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Liyong Wu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
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8
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Xie M, Liu X, Wang A, Hao Y. Symptom network connectivity and interaction among people with HIV in China: secondary analysis based on a cross-sectional survey. BMC Public Health 2024; 24:2331. [PMID: 39198725 PMCID: PMC11351592 DOI: 10.1186/s12889-024-19728-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 08/08/2024] [Indexed: 09/01/2024] Open
Abstract
BACKGROUND The symptom burden in people with HIV (PWH) is considerable. Nonetheless, the identification of a central symptom, or bridge symptom, among the myriad symptoms experienced by PWH remains unclear. This study seeks to establish networks of symptom experiences within different clusters and investigate the relationships and interconnectedness between these symptoms in PWH. METHODS A multicenter, cross-sectional descriptive design was carried out in China over two periods: November 2021 to January 2022 and April 2022 to May 2022. A total of 711 PWH completed online questionnaires, providing information on demographics and the 27-item Self-Report Symptom Scale. The symptom network was analyzed using Network/Graph theory, allowing for the exploration of connections between physical, cognitive, and psychological symptoms. This analysis was based on data from a subset of 493 individuals out of the total 711 PWH. RESULTS A total of 493 PWH who exhibited symptoms out of a total of 711 PWH were analyzed. The average number of symptoms reported was 5.367. The most prevalent symptom was sleep disturbance (37.98%). In the node centrality analysis, a cognitive symptom, 'becoming confusing', emerged as the most central symptom with significant values for node centrality (strength = 1.437, betweenness = 140.000, closeness = 0.003). Fever was identified as the bridge symptom with the highest bridge strength (0.547), bridge closeness (0.053), lower bridge betweenness (23.000), and bridge expectedinfluence (0.285). Overall, our network displayed good accuracy and stability. CONCLUSION Early identification and assessment of the central or bridge symptoms should be emphasized in clinical practice. According to the findings from network analysis, healthcare providers should proactively explore intervention strategies or bundle care to alleviate the burden of symptoms and enable anticipatory care.
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Affiliation(s)
- Meilian Xie
- Nursing Management Department, Beijing Ditan Hospital Capital Medical University, Beijing, China
| | - Xiaoyu Liu
- School of Statistics, Capital University of Economics and Business, Beijing, China.
| | - Aiping Wang
- Department of Public Service, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, China
| | - Yiwei Hao
- Department of Medical Records and Statistics, Beijing Ditan Hospital Capital Medical University, Beijing, China
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9
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Jellinger KA. Depression and anxiety in multiple sclerosis. Review of a fatal combination. J Neural Transm (Vienna) 2024; 131:847-869. [PMID: 38869643 DOI: 10.1007/s00702-024-02792-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Accepted: 06/01/2024] [Indexed: 06/14/2024]
Abstract
Depression and anxiety are the most frequent neuropsychiatric symptoms of multiple sclerosis (MS), an autoimmune-mediated demyelinating neurodegenerative disease. Their prevalence is 25-65% and 20-54%, respectively, often associated with chronic fatigue and cognitive impairment, but usually not correlated with motor and other deficits, suggesting different pathophysiological mechanisms. Both disorders often arise before MS diagnosis, lead to faster disability and impair the quality of life. Risk factors are (young) age, genetic and family history burden. While no specific neuropathological data for depression (and anxiety) in MS are available, modern neuroimaging studies showed bilateral fronto-temporal, subcortical and limbic atrophies, microstructural white matter lesions and disruption of frontoparietal, limbic and neuroendocrine networks. The pathogenesis of both depression and anxiety in MS is related to shared mechanisms including oxidative stress, mitochondrial dysfunction, neuroinflammation and neuroendocrine mechanisms inducing complex functional and structural brain lesions, but they are also influenced by social and other factors. Unfortunately, MS patients with anxiety, major depression or suicidal thoughts are often underassessed and undertreated. Current treatment, in addition to antidepressant therapy include transcranial magnetic stimulation, cognitive, relaxation, dietary and other healthcare measures that must be individualized. The present state-of- the-art review is based on systematic analysis of PubMed, Google Scholar and Cochrane Library until May 2024, with focus on the prevalence, clinical manifestation, neuroimaging data, immune mechanisms and treatment options. Depression and anxiety in MS, like in many other neuroimmune disorders, are related, among others, to multi-regional patterns of cerebral disturbances and complex pathogenic mechanisms that deserve further elucidation as a basis for early diagnosis and adequate management to improve the quality of life in this disabling disease.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, Vienna, A-1150, Austria.
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10
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Lechner-Scott J, Giovannoni G, Hawkes CH, Levy M, Yeh EA. Depression and anxiety in MS: symptoms or comorbidity? Mult Scler Relat Disord 2024; 88:105758. [PMID: 39003971 DOI: 10.1016/j.msard.2024.105758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Affiliation(s)
- J Lechner-Scott
- Department of Neurology, John Hunter Hospital, Newcastle, Australia; Hunter Medical Research Institute, University of Newcastle.
| | - G Giovannoni
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - C H Hawkes
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - M Levy
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - E A Yeh
- Division of Neurology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, ON, Canada
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11
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von Zedtwitz K, Tebartz van Elst L, Urbach H, Groppa S, Schiele MA, Prüss H, Domschke K, Stich O, Hannibal L, Endres D. Obsessive-compulsive symptoms and brain lesions compatible with multiple sclerosis. J Neural Transm (Vienna) 2024; 131:281-286. [PMID: 38289491 PMCID: PMC10874305 DOI: 10.1007/s00702-023-02737-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 12/27/2023] [Indexed: 02/18/2024]
Abstract
Autoimmune-mediated obsessive-compulsive disorder (OCD) can occur in multiple sclerosis (MS). Here, a well-studied case study of a patient with OCD and MS-compatible diagnostic findings is presented. The 42-year-old female patient had displayed OCD symptoms for 6 years. Magnetic resonance imaging (MRI) identified several periventricular and one brainstem lesion suggestive of demyelination. Cerebrospinal fluid (CSF) analyses detected an increased white blood cell count, intrathecal immunoglobulin (Ig) G and IgM synthesis, CSF-specific oligoclonal bands, and a positive MRZ reaction. Neopterin was increased, but sarcoidosis was excluded. In the absence of neurological attacks and clues for MRI-based dissemination in time, a radiologically isolated syndrome, the pre-disease stage of MS, was diagnosed. Neurotransmitter measurements of CSF detected reduced serotonin levels. In the absence of visible strategic demyelinating lesions within the cortico-striato-thalamo-cortical circuits, OCD symptoms may relate to reduced intrathecal serotonin levels and mild neuroinflammatory processes. Serotonin abnormalities in MS should be studied further, as they could potentially explain the association between neuroinflammation and mental illnesses.
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Affiliation(s)
- Katharina von Zedtwitz
- Department of Psychiatry 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
| | - Horst Urbach
- Department of Neuroradiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Sergiu Groppa
- Department of Neurology, Focus Program Translational Neuroscience, Rhine-Main Neuroscience Network, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Miriam A Schiele
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Harald Prüss
- Department of Neurology and Experimental Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
| | - Katharina Domschke
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Oliver Stich
- Department of Neurology and Neurophysiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Luciana Hannibal
- Laboratory of Clinical Biochemistry and Metabolism, Department of General Pediatrics, Adolescent Medicine and Neonatology, 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.
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12
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Ayache SS, Chalah MA. Neuroimaging and neuromodulation of invisible symptoms in multiple sclerosis. Front Hum Neurosci 2024; 18:1376095. [PMID: 38454906 PMCID: PMC10917909 DOI: 10.3389/fnhum.2024.1376095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 02/12/2024] [Indexed: 03/09/2024] Open
Affiliation(s)
- Samar S. Ayache
- Department of Neurology, Gilbert and Rose-Marie Chagoury School of Medicine, Byblos, Lebanon
- Institut de la Colonne Vertébrale et des NeuroSciences (ICVNS), Centre Médico-Chirurgical Bizet, Paris, France
- EA4391 Excitabilité Nerveuse and Thérapeutique, Université Paris Est Créteil, Creteil, France
- Department of Clinical Neurophysiology, DMU FIxIT, Henri Mondor University Hospital, Assistance Publique-Hôpitaux de Paris (APHP), Creteil, France
| | - Moussa A. Chalah
- Department of Neurology, Gilbert and Rose-Marie Chagoury School of Medicine, Byblos, Lebanon
- Institut de la Colonne Vertébrale et des NeuroSciences (ICVNS), Centre Médico-Chirurgical Bizet, Paris, France
- Pôle Hospitalo-Universitaire Psychiatrie Paris 15, GHU Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Paris, France
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13
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Margoni M, Preziosa P, Rocca MA, Filippi M. Depressive symptoms, anxiety and cognitive impairment: emerging evidence in multiple sclerosis. Transl Psychiatry 2023; 13:264. [PMID: 37468462 PMCID: PMC10356956 DOI: 10.1038/s41398-023-02555-7] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 06/28/2023] [Accepted: 06/30/2023] [Indexed: 07/21/2023] Open
Abstract
Neuropsychiatric abnormalities may be broadly divided in two categories: disorders of mood, affect, and behavior and abnormalities affecting cognition. Among these conditions, clinical depression, anxiety and neurocognitive disorders are the most common in multiple sclerosis (MS), with a substantial impact on patients' quality of life and adherence to treatments. Such manifestations may occur from the earliest phases of the disease but become more frequent in MS patients with a progressive disease course and more severe clinical disability. Although the pathogenesis of these neuropsychiatric manifestations has not been fully defined yet, brain structural and functional abnormalities, consistently observed with magnetic resonance imaging (MRI), together with genetic and immunologic factors, have been suggested to be key players. Even though the detrimental clinical impact of such manifestations in MS patients is a matter of crucial importance, at present, they are often overlooked in the clinical setting. Moreover, the efficacy of pharmacologic and non-pharmacologic approaches for their amelioration has been poorly investigated, with the majority of studies showing marginal or no beneficial effect of different therapeutic approaches, possibly due to the presence of multiple and heterogeneous underlying pathological mechanisms and intrinsic methodological limitations. A better evaluation of these manifestations in the clinical setting and improvements in the understanding of their pathophysiology may offer the potential to develop tools for differentiating these mechanisms in individual patients and ultimately provide a principled basis for treatment selection. This review provides an updated overview regarding the pathophysiology of the most common neuropsychiatric symptoms in MS, the clinical and MRI characteristics that have been associated with mood disorders (i.e., depression and anxiety) and cognitive impairment, and the treatment approaches currently available or under investigation.
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Affiliation(s)
- Monica Margoni
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Paolo Preziosa
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Vita-Salute San Raffaele University, Milan, Italy.
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy.
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