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Westlin C, Guthrie AJ, Bleier C, Finkelstein SA, Maggio J, Ranford J, MacLean J, Godena E, Millstein D, Paredes-Echeverri S, Freeburn J, Adams C, Stephen CD, Diez I, Perez DL. Delineating network integration and segregation in the pathophysiology of functional neurological disorder. Brain Commun 2025; 7:fcaf195. [PMID: 40433115 PMCID: PMC12107243 DOI: 10.1093/braincomms/fcaf195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2025] [Revised: 04/02/2025] [Accepted: 05/19/2025] [Indexed: 05/29/2025] Open
Abstract
Functional neurological disorder (FND) is a neuropsychiatric condition that is framed as a multi-network brain problem. Despite this conceptualization, studies have generally focused on specific regions or connectivity features, under-characterizing the complex and nuanced role of resting-state networks in FND pathophysiology. This study employed three complementary graph theory analyses to delineate the functional network architecture in FND. Specifically, we investigated whole-brain weighted-degree, isocortical integration and isocortical segregation extracted from resting-state functional MRI data prospectively collected from 178 participants: 61 individuals with mixed FND; 58 psychiatric controls matched on age, sex, depression, anxiety and post-traumatic stress disorder severity; and 59 age- and sex-matched healthy controls. All analyses were adjusted for age, sex and antidepressant use and focused on differences between FND versus psychiatric controls, with individual-subject maps normalized to healthy controls. Compared to psychiatric controls, patients with mixed FND exhibited increased weighted-degree in the right dorsal anterior cingulate and superior frontal gyrus and the left inferior frontal gyrus and supplementary motor area. Isocortical integration analyses revealed increased between-network connectivity for somatomotor network areas, with widespread heightened connections to regions of the default mode, frontoparietal and salience networks. Isocortical segregation analyses revealed increased within-network connectivity for the frontoparietal network. Secondary analyses of functional motor disorder (n = 46) and functional seizure (n = 23) subtypes (versus psychiatric controls) revealed both shared and unique patterns of altered connectivity across subtypes, including increased weighted-degree and integrated connectivity in the left posterior insula and anterior/mid-cingulate in functional motor disorder and increased segregated connectivity in the right angular gyrus for functional seizures. In post hoc between-group analyses, findings remained significant adjusting for depression, anxiety and post-traumatic stress disorder severity, as well as for childhood maltreatment. Post hoc correlations revealed significant relationships between connectivity metrics in several of these regions and somatic symptom severity across FND and psychiatric control participants. Notably, individual connectivity values were predominantly within the range of healthy controls (with patients with FND generally showing tendencies for increased connectivity and psychiatric controls showing tendencies towards decreased connectivity), indicating subtle shifts in the network architecture rather than gross abnormalities. This study provides novel mechanistic insights (i.e. increased somatomotor integration) and specificity regarding the neurobiology of FND, highlighting both shared mechanisms across subtypes and subtype-specific patterns. The results support the notion that FND involves aberrant within- and between-network communication, setting the stage for biologically informed treatment development and large-scale replication.
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Affiliation(s)
- Christiana Westlin
- Functional Neurological Disorder Research Group, Department of Neurology, Massachusetts General Hospital, Mass General Brigham, Harvard Medical School, Boston, MA 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Mass General Brigham, Harvard Medical School, Boston, MA 02129, USA
- Department of Psychiatry, Massachusetts General Hospital, Mass General Brigham, Harvard Medical School, Boston, MA 02114, USA
| | - Andrew J Guthrie
- Functional Neurological Disorder Research Group, Department of Neurology, Massachusetts General Hospital, Mass General Brigham, Harvard Medical School, Boston, MA 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Mass General Brigham, Harvard Medical School, Boston, MA 02129, USA
| | - Cristina Bleier
- Functional Neurological Disorder Research Group, Department of Neurology, Massachusetts General Hospital, Mass General Brigham, Harvard Medical School, Boston, MA 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Mass General Brigham, Harvard Medical School, Boston, MA 02129, USA
| | - Sara A Finkelstein
- Functional Neurological Disorder Research Group, Department of Neurology, Massachusetts General Hospital, Mass General Brigham, Harvard Medical School, Boston, MA 02114, USA
| | - Julie Maggio
- Functional Neurological Disorder Research Group, Department of Neurology, Massachusetts General Hospital, Mass General Brigham, Harvard Medical School, Boston, MA 02114, USA
- Department of Physical Therapy, Massachusetts General Hospital, Mass General Brigham, Boston, MA 02114, USA
| | - Jessica Ranford
- Functional Neurological Disorder Research Group, Department of Neurology, Massachusetts General Hospital, Mass General Brigham, Harvard Medical School, Boston, MA 02114, USA
- Department of Occupational Therapy, Massachusetts General Hospital, Mass General Brigham, Boston, MA 02114, USA
| | - Julie MacLean
- Functional Neurological Disorder Research Group, Department of Neurology, Massachusetts General Hospital, Mass General Brigham, Harvard Medical School, Boston, MA 02114, USA
- Department of Occupational Therapy, Massachusetts General Hospital, Mass General Brigham, Boston, MA 02114, USA
| | - Ellen Godena
- Functional Neurological Disorder Research Group, Department of Neurology, Massachusetts General Hospital, Mass General Brigham, Harvard Medical School, Boston, MA 02114, USA
| | - Daniel Millstein
- Functional Neurological Disorder Research Group, Department of Neurology, Massachusetts General Hospital, Mass General Brigham, Harvard Medical School, Boston, MA 02114, USA
- Department of Psychiatry, Massachusetts General Hospital, Mass General Brigham, Harvard Medical School, Boston, MA 02114, USA
| | - Sara Paredes-Echeverri
- Functional Neurological Disorder Research Group, Department of Neurology, Massachusetts General Hospital, Mass General Brigham, Harvard Medical School, Boston, MA 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Mass General Brigham, Harvard Medical School, Boston, MA 02129, USA
| | - Jennifer Freeburn
- Functional Neurological Disorder Research Group, Department of Neurology, Massachusetts General Hospital, Mass General Brigham, Harvard Medical School, Boston, MA 02114, USA
- Department of Speech, Language, and Swallowing Disorders, Massachusetts General Hospital, Mass General Brigham, Boston, MA 02114, USA
| | - Caitlin Adams
- Functional Neurological Disorder Research Group, Department of Neurology, Massachusetts General Hospital, Mass General Brigham, Harvard Medical School, Boston, MA 02114, USA
- Department of Psychiatry, Massachusetts General Hospital, Mass General Brigham, Harvard Medical School, Boston, MA 02114, USA
| | - Christopher D Stephen
- Functional Neurological Disorder Research Group, Department of Neurology, Massachusetts General Hospital, Mass General Brigham, Harvard Medical School, Boston, MA 02114, USA
- Movement Disorders Division, Department of Neurology, Massachusetts General Hospital, Mass General Brigham, Harvard Medical School, Boston, MA 02114, USA
| | - Ibai Diez
- Functional Neurological Disorder Research Group, Department of Neurology, Massachusetts General Hospital, Mass General Brigham, Harvard Medical School, Boston, MA 02114, USA
- Computational Neuroimaging Lab, Biobizkaia Health Research Institute, Barakaldo 48903, Spain
- Ikerbasque, Baske Foundation for Science, Bilbao 48009, Spain
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - David L Perez
- Functional Neurological Disorder Research Group, Department of Neurology, Massachusetts General Hospital, Mass General Brigham, Harvard Medical School, Boston, MA 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Mass General Brigham, Harvard Medical School, Boston, MA 02129, USA
- Department of Psychiatry, Massachusetts General Hospital, Mass General Brigham, Harvard Medical School, Boston, MA 02114, USA
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2
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Butler M, Bird C, Maggio C, Durden A, Modlin N, Campbell-Coker K, Edwards M, Pick S, Millman LM, Lowery E, Bhagavan C, Kanaan R, Golder D, Mildon B, Mehta M, Rucker J, Nicholson TR. Probing the functional magnetic resonance imaging response to psilocybin in functional neurological disorder (PsiFUND): study protocol. Wellcome Open Res 2025; 9:401. [PMID: 39372842 PMCID: PMC11450546 DOI: 10.12688/wellcomeopenres.22543.1] [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] [Accepted: 03/20/2025] [Indexed: 10/08/2024] Open
Abstract
Background Functional neurological disorder (FND) is a common cause of neurological symptoms including seizures and movement disorders. It can be debilitating, is associated with high health and social care costs, and can have a poor prognosis. Functional magnetic resonance imaging (fMRI) has suggested FND is a multi-network disorder. Converging evidence suggests that other mechanisms including dissociation, interoception, and motor agency may be abnormal in people with FND. Psychedelics are currently under investigation for numerous neuropsychiatric disorders and have been shown to disrupt functional brain networks. Administering psychedelics to people with FND will help us to probe mechanistic theories of the disorder. Protocol In this open-label neuroimaging study, we will administer 25mg oral psilocybin with psychological support to people with chronic FND (target n = 24). Participants will undergo resting-state and task-based (Libet's clock, a measure of motor agency) fMRI sequences which will be compared in a pre-post manner. Additional mechanistic outcomes including measures of interoception (heartbeat tracking task), somatisation, illness perceptions, suggestibility, and dissociation will be collected. Data on expectancy, preparedness, and subjective experience of the psychedelic experience will also be gathered. Participants will be followed up for three months following psilocybin administration. fMRI changes in networks will be analysed using seed-based approaches, and additional exploratory analysis of resting-state imaging will take place. Discussion The study will help us to probe the mechanisms thought to potentially underpin FND. As the first modern study of psychedelics in FND, it will also help us to understand whether psychedelic administration alongside psychological support might be safe and feasible in this patient population.
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Affiliation(s)
- Matt Butler
- Neuropsychiatry Research and Education Group, King's College London, London, England, UK
- Psychoactive Trials Group, King's College London, London, England, UK
- Department of Neuroimaging, King's College London, London, England, UK
| | - Catherine Bird
- Psychoactive Trials Group, King's College London, London, England, UK
| | - Carolina Maggio
- Psychoactive Trials Group, King's College London, London, England, UK
| | - Amy Durden
- Psychoactive Trials Group, King's College London, London, England, UK
| | - Nadav Modlin
- Psychoactive Trials Group, King's College London, London, England, UK
| | | | - Mark Edwards
- Neuropsychiatry Research and Education Group, King's College London, London, England, UK
| | - Susannah Pick
- Psychological Sciences, King's College London, London, England, UK
| | | | - Emily Lowery
- Neuropsychiatry Research and Education Group, King's College London, London, England, UK
| | - Chiranth Bhagavan
- Department of Psychiatry, The University of Melbourne, Melbourne, Victoria, Australia
- Austin Health, Heidelberg, Victoria, Australia
| | - Richard Kanaan
- Department of Psychiatry, The University of Melbourne, Melbourne, Victoria, Australia
- Austin Health, Heidelberg, Victoria, Australia
| | | | | | - Mitul Mehta
- Department of Neuroimaging, King's College London, London, England, UK
| | - James Rucker
- Psychoactive Trials Group, King's College London, London, England, UK
| | - Timothy R Nicholson
- Neuropsychiatry Research and Education Group, King's College London, London, England, UK
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3
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Baglioni V, Esposito D, Bernardi K, Novelli M, Zaccaria V, Galosi S, Pisani F. Misdiagnosis of functional neurological symptom disorders in paediatrics: Narrative review and relevant case report. Clin Child Psychol Psychiatry 2024; 29:1026-1042. [PMID: 38515429 DOI: 10.1177/13591045241240805] [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] [Indexed: 03/23/2024]
Abstract
Functional neurological symptom disorders (FNSD) pose a common challenge in clinical practice, particularly in pediatric cases where the clinical phenotypes can be intricate and easily confused with structural disturbances. The frequent coexistence of FNSDs with other medical disorders often results in misdiagnosis. In this review, we highlight the distinctions between FNSD and various psychiatric and neurological conditions. Contrary to the misconception that FNSD is a diagnosis of exclusion, we underscore its nature as a diagnosis of inclusion, contingent upon recognizing specific clinical features. However, our focus is on a critical learning point illustrated by the case of a 14-year-old male initially diagnosed with FNSD, but subsequently found to have a rare primary monogenic movement disorder (paroxysmal kinesigenic dyskinesia, PKD). The crucial takeaway from this case is the importance of avoiding an FNSD diagnosis based solely on psychiatric comorbidity and suppressible symptoms. Instead, clinicians should diligently assess for specific features indicative of FNSD, which were absent in this case. This emphasizes the importance of making a diagnosis of inclusion. Extended follow-up and clinical-oriented genetic testing might help identify comorbidities, prevent misdiagnosis, and guide interventions in complex cases, which cannot be simply classified as "functional" solely because other conditions can be excluded.
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Affiliation(s)
- Valentina Baglioni
- Child Neurology and Psychiatry Unit, Department of Human Neuroscience, Sapienza University, Italy
| | - Dario Esposito
- Child Neurology and Psychiatry Unit, Department of Human Neuroscience, Sapienza University, Italy
| | - Katerina Bernardi
- Child Neurology and Psychiatry Unit, Department of Human Neuroscience, Sapienza University, Italy
| | - Maria Novelli
- Child Neurology and Psychiatry Unit, Department of Human Neuroscience, Sapienza University, Italy
| | - Valerio Zaccaria
- Child Neurology and Psychiatry Unit, Department of Human Neuroscience, Sapienza University, Italy
| | - Serena Galosi
- Child Neurology and Psychiatry Unit, Department of Human Neuroscience, Sapienza University, Italy
| | - Francesco Pisani
- Child Neurology and Psychiatry Unit, Department of Human Neuroscience, Sapienza University, Italy
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4
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Mouchabac S, Lacambre M, Carle-Toulemonde G, Drapier D. [Functional neurological disorders and forensic medicine: Clinical and practical characteristics]. L'ENCEPHALE 2023:S0013-7006(23)00088-X. [PMID: 37400335 DOI: 10.1016/j.encep.2023.06.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 06/06/2023] [Indexed: 07/05/2023]
Abstract
Functional neurological disorders (FND) have long been a challenge for medicine, both on clinical and psychodynamic point of view. The medico-legal issue is often relegated to the background in medicine, and FND patients also suffer from such neglected topic. Nonetheless, despite the difficulty to properly diagnose FND and the numerous associated organic and/or psychiatric comorbidities, FND patients report a significant level of deficiency and a high alteration of quality of life when compared to other well-recognized chronic disorders such as Parkinson's disease or epilepsy. Whether it is for the estimation of a personal injury, a prejudice, after-effects following a medical accident or certain legal contexts requiring the elimination of a factitious disorder or a simulation, the uncertainty and imprecision in the medico-legal assessment can imply notable consequences on the patient. In this article, we propose to define the different medico-legal contexts in which FND can occur that of the legal expert, that of the consulting physician, that of the so-called recourse physician and finally that of the attending physician who can provide detailed medical files to the patient in order to help him/her in his/her procedures. We then explain how to use standardized objective evaluation tools validated by the learned societies and how to encourage multidisciplinary cross-evaluation. Finally, we specify how to differentiate FND from historically FND-associated disorders (factitious and simulated disorders), through the clinical criteria, considering the difficulties linked to the uncertainty in the clinical examination of these disorders in a medico-legal context. In addition to the rigorous completion of expertise missions, we aim to reduce two damaging consequences characterizing FND: diagnostic delay and the patients' suffering through stigma.
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Affiliation(s)
- Stéphane Mouchabac
- Département de psychiatrie, hôpital Saint-Antoine, AP-HP, Sorbonne Université, Paris, France.
| | - Mathieu Lacambre
- Département urgence et post-urgence psychiatrique, Coordination de la filière psychiatrie légale, pôle urgences, CHU de Lapeyronie, Montpellier, France
| | - Guilhem Carle-Toulemonde
- Cabinet de psychosomatique et stimulation magnétique transcrânienne, clinique Saint-Exupery, Toulouse, France
| | - Dominique Drapier
- Département de psychiatrie adulte, CH Guillaume-Régnier, université de Rennes 1, centre d'investigation clinique CIC Inserm 1414, Rennes, France
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5
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Mueller K, Růžička F, Slovák M, Forejtová Z, Dušek P, Dušek P, Jech R, Serranová T. Symptom-severity-related brain connectivity alterations in functional movement disorders. Neuroimage Clin 2022; 34:102981. [PMID: 35287089 PMCID: PMC8921488 DOI: 10.1016/j.nicl.2022.102981] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 03/01/2022] [Accepted: 03/02/2022] [Indexed: 01/21/2023]
Abstract
Brain connectivity alterations were found in functional movement disorders. Hyperconnectivity in temporoparietal junction and precuneus in functional weakness. Consistent brain connectivity differences with four different centrality measures. Motor symptom severity correlates positively with connectivity in functional weakness.
Background Functional movement disorders, a common cause of neurological disabilities, can occur with heterogeneous motor manifestations including functional weakness. However, the underlying mechanisms related to brain function and connectivity are unknown. Objective To identify brain connectivity alterations related to functional weakness we assessed network centrality changes in a group of patients with heterogeneous motor manifestations using task-free functional MRI in combination with different network centrality approaches. Methods Task-free functional MRI was performed in 48 patients with heterogeneous motor manifestations including 28 patients showing functional weakness and 65 age- and sex-matched healthy controls. Functional connectivity differences were assessed using different network centrality approaches, i.e. global correlation, eigenvector centrality, and intrinsic connectivity. Motor symptom severity was assessed using The Simplified Functional Movement Disorders Rating Scale and correlated with network centrality. Results Comparing patients with and without functional weakness showed significant network centrality differences in the left temporoparietal junction and precuneus. Patients with functional weakness showed increased centrality in the same anatomical regions when comparing functional weakness with healthy controls. Moreover, in the same regions, patients with functional weakness showed a positive correlation between motor symptom severity and network centrality. This correlation was shown to be specific to functional weakness with an interaction analysis, confirming a significant difference between patients with and without functional weakness. Conclusions We identified the temporoparietal junction and precuneus as key regions involved in brain connectivity alterations related to functional weakness. We propose that both regions may be promising targets for phenotype-specific non-invasive brain stimulation.
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Affiliation(s)
- Karsten Mueller
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
| | - Filip Růžička
- Department of Neurology and Center of Clinical Neuroscience, Charles University in Prague, First Faculty of Medicine and General University Hospital in Prague, Czech Republic
| | - Matěj Slovák
- Department of Neurology and Center of Clinical Neuroscience, Charles University in Prague, First Faculty of Medicine and General University Hospital in Prague, Czech Republic
| | - Zuzana Forejtová
- Department of Neurology and Center of Clinical Neuroscience, Charles University in Prague, First Faculty of Medicine and General University Hospital in Prague, Czech Republic
| | - Petr Dušek
- Department of Neurology and Center of Clinical Neuroscience, Charles University in Prague, First Faculty of Medicine and General University Hospital in Prague, Czech Republic
| | - Pavel Dušek
- Department of Neurology and Center of Clinical Neuroscience, Charles University in Prague, First Faculty of Medicine and General University Hospital in Prague, Czech Republic
| | - Robert Jech
- Department of Neurology and Center of Clinical Neuroscience, Charles University in Prague, First Faculty of Medicine and General University Hospital in Prague, Czech Republic
| | - Tereza Serranová
- Department of Neurology and Center of Clinical Neuroscience, Charles University in Prague, First Faculty of Medicine and General University Hospital in Prague, Czech Republic.
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6
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García-Cabeza I, Epifanio MDM. ASTASIA-ABASIA, PSYCHOGENIC OR ORGANIC? IT ́S NOT EASY. ACTAS ESPANOLAS DE PSIQUIATRIA 2022; 50:160-162. [PMID: 35643974 PMCID: PMC10803837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Accepted: 05/01/2022] [Indexed: 06/15/2023]
Abstract
Astasia-abasia was described by Paul Blocq as a psychogenic condition; later, several brain injuries have been described for its explanation too.
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Affiliation(s)
- Ignacio García-Cabeza
- Servicio de Psiquiatría de Adultos HGU Gregrorio Marañón. Universidad Complutense de Madrid
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7
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Hartmann M, Falconer CJ, Kaelin-Lang A, Müri RM, Mast FW. Imagined paralysis reduces motor cortex excitability. Psychophysiology 2022; 59:e14069. [PMID: 35393640 PMCID: PMC9539708 DOI: 10.1111/psyp.14069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 12/16/2021] [Accepted: 03/26/2022] [Indexed: 11/27/2022]
Abstract
Mental imagery is a powerful capability that engages similar neurophysiological processes that underlie real sensory and motor experiences. Previous studies show that motor cortical excitability can increase during mental imagery of actions. In this study, we focused on possible inhibitory effects of mental imagery on motor functions. We assessed whether imagined arm paralysis modulates motor cortical excitability in healthy participants, as measured by motor evoked potentials (MEPs) of the hand induced by near-threshold transcranial magnetic stimulation (TMS) over the primary motor cortex hand area. We found lower MEP amplitudes during imagined arm paralysis when compared to imagined leg paralysis or baseline stimulation without paralysis imagery. These results show that purely imagined bodily constraints can selectively inhibit basic motor corticospinal functions. The results are discussed in the context of motoric embodiment/disembodiment.
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Affiliation(s)
- Matthias Hartmann
- Department of Psychology, University of Bern, Bern, Switzerland.,Faculty of Psychology, UniDistance Suisse, Brig, Switzerland
| | - Caroline J Falconer
- Department of Psychology, University of Bern, Bern, Switzerland.,Department of Clinical Educational and Health Psychology, University College London, London, UK
| | - Alain Kaelin-Lang
- Department of Neurology, University Hospital, University of Bern, Bern, Switzerland.,Department of BioMedical Research, University Hospital, University of Bern, Bern, Switzerland.,Neurocenter of Southern Switzerland, Regional Hospital of Lugano, Lugano, Switzerland.,Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland
| | - René M Müri
- Department of Neurology, University Hospital, University of Bern, Bern, Switzerland.,Department of BioMedical Research, University Hospital, University of Bern, Bern, Switzerland
| | - Fred W Mast
- Department of Psychology, University of Bern, Bern, Switzerland
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8
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Functional neurological disorder: new subtypes and shared mechanisms. Lancet Neurol 2022; 21:537-550. [PMID: 35430029 PMCID: PMC9107510 DOI: 10.1016/s1474-4422(21)00422-1] [Citation(s) in RCA: 203] [Impact Index Per Article: 67.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 10/14/2021] [Accepted: 11/24/2021] [Indexed: 01/12/2023]
Abstract
Functional neurological disorder is common in neurological practice. A new approach to the positive diagnosis of this disorder focuses on recognisable patterns of genuinely experienced symptoms and signs that show variability within the same task and between different tasks over time. Psychological stressors are common risk factors for functional neurological disorder, but are often absent. Four entities-functional seizures, functional movement disorders, persistent perceptual postural dizziness, and functional cognitive disorder-show similarities in aetiology and pathophysiology and are variants of a disorder at the interface between neurology and psychiatry. All four entities have distinctive features and can be diagnosed with the support of clinical neurophysiological studies and other biomarkers. The pathophysiology of functional neurological disorder includes overactivity of the limbic system, the development of an internal symptom model as part of a predictive coding framework, and dysfunction of brain networks that gives movement the sense of voluntariness. Evidence supports tailored multidisciplinary treatment that can involve physical and psychological therapy approaches.
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9
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Kirkwood B, Mark VW. Consistency of inclusion criteria for functional movement disorder clinical research studies: A systematic review. NeuroRehabilitation 2022; 50:169-178. [DOI: 10.3233/nre-228002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND: Functional movement disorders (FMDs) are a common cause of disability. With an increasing research interest in FMD, including the emergence of intervention trials, it is crucial that research methodology be examined, and standardized protocols be developed. OBJECTIVE: To characterize the current inclusion criteria used to select patients for FMD research studies and review the consistency and appropriateness of these criteria. METHODS: We identified studies of potential biomarkers for FMD that were published over the last two decades and performed a qualitative analysis on the finally included studies. RESULTS: We identified 79 articles and found inconsistent inclusion criteria. The Fahn-Williams and DSM-IV criteria were the most commonly applied, but neither accounted for the majority (Fahn-Williams 46%, DSM-IV 32% of the total). The selection of the inclusion criteria depended in part on the phenotype of FMD under investigation. We also identified inclusion methodologies that were not appropriate, such as the inclusion of low-certainty diagnoses and diagnosing by excluding specific biomarkers rather than including patients based on clinical characteristics that commonly are thought to suggest FMD. CONCLUSIONS: Significant variability exists with the inclusion criteria for FMD research studies. This variability could limit reproducibility and the appropriate aggregation of data for meta-analysis. Advancing FMD rehabilitation research will need standardized inclusion criteria. We make some suggestions.
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Affiliation(s)
- Brian Kirkwood
- Department of Physical Medicine and Rehabilitation, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Victor W. Mark
- Department of Physical Medicine and Rehabilitation, University of Alabama at Birmingham, Birmingham, AL, USA
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA
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10
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Roydeva MI, Reinders AATS. Biomarkers of Pathological Dissociation: A Systematic Review. Neurosci Biobehav Rev 2021; 123:120-202. [PMID: 33271160 DOI: 10.1016/j.neubiorev.2020.11.019] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Revised: 08/20/2020] [Accepted: 11/15/2020] [Indexed: 02/06/2023]
Abstract
Pathological dissociation is a severe, debilitating and transdiagnostic psychiatric symptom. This review identifies biomarkers of pathological dissociation in a transdiagnostic manner to recommend the most promising research and treatment pathways in support of the precision medicine framework. A total of 205 unique studies that met inclusion criteria were included. Studies were divided into four biomarker categories, namely neuroimaging, psychobiological, psychophysiological and genetic biomarkers. The dorsomedial and dorsolateral prefrontal cortex, bilateral superior frontal regions, (anterior) cingulate, posterior association areas and basal ganglia are identified as neurofunctional biomarkers of pathological dissociation and decreased hippocampal, basal ganglia and thalamic volumes as neurostructural biomarkers. Increased oxytocin and prolactin and decreased tumor necrosis factor alpha (TNF-α) are identified as psychobiological markers. Psychophysiological biomarkers, including blood pressure, heart rate and skin conductance, were inconclusive. For the genetic biomarker category studies related to dissociation were limited and no clear directionality of effect was found to warrant identification of a genetic biomarker. Recommendations for future research pathways and possible clinical applicability are provided.
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Affiliation(s)
- Monika I Roydeva
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Antje A T S Reinders
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom.
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11
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Sasikumar S, Strafella AP. The neuroimaging evidence of brain abnormalities in functional movement disorders. Brain 2021; 144:2278-2283. [PMID: 33744915 DOI: 10.1093/brain/awab131] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 01/29/2021] [Accepted: 02/11/2021] [Indexed: 11/14/2022] Open
Abstract
Neuroimaging has been pivotal in identifying and reframing our understanding of functional movement disorders (FMDs). If accessible, it compensates for the limitations of the clinical exam and is especially useful where there is overlap of functional symptoms with classical presentations of disease. Imaging in FMDs has increasingly identified structural and functional abnormalities that implicate hypoactivation of the cortical and subcortical motor pathways and increased modulation by the limbic system. Neurobiological theories suggest an impaired sense of agency, faulty top-down regulation of motor movement and abnormal emotional processing in these individuals. This framework challenges our traditional understanding of FMDs as distinct from the deceptive term of 'organic' diseases and proposes that these conditions not be considered as mutually exclusive. This review summarizes the literature to date and explores the role of imaging in the diagnosis of FMDs and in detecting its underlying molecular network.
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Affiliation(s)
- Sanskriti Sasikumar
- Division of Neurology, University of Toronto, Toronto, Ontario, Canada.,Morton and Gloria Shulman Movement Disorder Unit and E.J. Safra Parkinson Disease Program, Neurology Division, Depart. of Medicine, Toronto Western Hospital, UHN, University of Toronto, Ontario, M5G 2C4 Canada
| | - Antonio P Strafella
- Division of Neurology, University of Toronto, Toronto, Ontario, Canada.,Morton and Gloria Shulman Movement Disorder Unit and E.J. Safra Parkinson Disease Program, Neurology Division, Depart. of Medicine, Toronto Western Hospital, UHN, University of Toronto, Ontario, M5G 2C4 Canada.,Krembil Research Institute, UHN, University of Toronto, Ontario, M5T 2S8 Canada.,Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, M5T 2S8 Canada
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12
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Utility of Preoperative Blood-Oxygen-Level-Dependent Functional MR Imaging in Patients with a Central Nervous System Neoplasm. Neuroimaging Clin N Am 2021; 31:93-102. [PMID: 33220831 PMCID: PMC10040207 DOI: 10.1016/j.nic.2020.09.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Functional neuroimaging provides means to understand the relationship between brain structure and associated functions. Functional MR (fMR) imaging can offer a unique insight into preoperative planning for central nervous system (CNS) neoplasms by identifying areas of the brain effected or spared by the neoplasm. BOLD (blood-oxygen-level-dependent) fMR imaging can be reliably used to map eloquent cortex presurgically and is sufficiently accurate for neurosurgical planning. In patients with brain tumors undergoing neurosurgical intervention, fMR imaging can decrease postoperative morbidity. This article discusses the applications, significance, and interpretation of BOLD fMR imaging, and its applications in presurgical planning for CNS neoplasms.
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13
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Thomsen BLC, Teodoro T, Edwards MJ. Biomarkers in functional movement disorders: a systematic review. J Neurol Neurosurg Psychiatry 2020; 91:1261-1269. [PMID: 33087421 DOI: 10.1136/jnnp-2020-323141] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 08/11/2020] [Accepted: 09/23/2020] [Indexed: 11/04/2022]
Abstract
Functional movement disorders (FMD) are proposed to reflect a specific problem with voluntary control of movement, despite normal intent to move and an intact neural capacity for movement. In many cases, a positive diagnosis of FMD can be established on clinical grounds. However, the diagnosis remains challenging in certain scenarios, and there is a need for predictors of treatment response and long-term prognosis.In this context, we performed a systematic review of biomarkers in FMD. Eighty-six studies met our predefined criteria and were included.We found fairly reliable electroencephalography and electromyography-based diagnostic biomarkers for functional myoclonus and tremor. Promising biomarkers have also been described for functional paresis, gait and balance disorders. In contrast, there is still a lack of diagnostic biomarkers of functional dystonia and tics, where clinical diagnosis is often also more challenging. Importantly, many promising findings focus on pathophysiology and reflect group-level comparisons, but cannot differentiate on an individual basis. Some biomarkers also require access to time-consuming and resource-consuming techniques such as functional MRI.In conclusion, there are important gaps in diagnostic biomarkers in FMD in the areas of most clinical uncertainty. There is also is a lack of treatment response and prognostic biomarkers to aid in the selection of patients who would benefit from rehabilitation and other forms of treatment.
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Affiliation(s)
- Birgitte Liang Chen Thomsen
- Neurology, Bispebjerg Hospital, Copenhagen, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Tiago Teodoro
- Neurosciences Research Centre, St George's University of London, London, UK.,Instituto de Medicina Molecular, University of Lisbon, Lisboa, Portugal
| | - Mark J Edwards
- Neurosciences Research Centre, St George's University of London, London, UK
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14
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Marapin RS, van der Stouwe AMM, de Jong BM, Gelauff JM, Vergara VM, Calhoun VD, Dalenberg JR, Dreissen YEM, Koelman JHTM, Tijssen MAJ, van der Horn HJ. The chronnectome as a model for Charcot's 'dynamic lesion' in functional movement disorders. Neuroimage Clin 2020; 28:102381. [PMID: 32927233 PMCID: PMC7495110 DOI: 10.1016/j.nicl.2020.102381] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 08/07/2020] [Accepted: 08/09/2020] [Indexed: 01/14/2023]
Abstract
This exploratory study set out to investigate dynamic functional connectivity (dFC) in patients with jerky and tremulous functional movement disorders (JT-FMD). The focus in this work is on dynamic brain states, which represent distinct dFC patterns that reoccur in time and across subjects. Resting-state fMRI data were collected from 17 patients with JT-FMD and 17 healthy controls (HC). Symptom severity was measured using the Clinical Global Impression-Severity scale. Depression and anxiety were measured using the Beck Depression Inventory (BDI) and Beck Anxiety Inventory (BAI), respectively. Independent component analysis was used to extract functional brain components. After computing dFC, dynamic brain states were determined for every subject using k-means clustering. Compared to HC, patients with JT-FMD spent more time in a state that was characterized predominantly by increasing medial prefrontal, and decreasing posterior midline connectivity over time. They also tended to visit this state more frequently. In addition, patients with JT-FMD transitioned significantly more often between different states compared to HC, and incorporated a state with decreasing medial prefrontal, and increasing posterior midline connectivity in their attractor, i.e., the cyclic patterns of state transitions. Altogether, this is the first study that demonstrates altered functional brain network dynamics in JT-FMD that may support concepts of increased self-reflective processes and impaired sense of agency as driving factors in FMD.
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Affiliation(s)
- Ramesh S Marapin
- Department of Neurology, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands; Expertise Center Movement Disorders Groningen, University Medical Center Groningen (UMCG), Groningen, The Netherlands.
| | - A M Madelein van der Stouwe
- Department of Neurology, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands; Expertise Center Movement Disorders Groningen, University Medical Center Groningen (UMCG), Groningen, The Netherlands.
| | - Bauke M de Jong
- Department of Neurology, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands.
| | - Jeannette M Gelauff
- Department of Neurology, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
| | - Victor M Vergara
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, Emory, 55 Park Pl NE, Atlanta, GA 30303, United States
| | - Vince D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, Emory, 55 Park Pl NE, Atlanta, GA 30303, United States.
| | - Jelle R Dalenberg
- Department of Neurology, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands; Expertise Center Movement Disorders Groningen, University Medical Center Groningen (UMCG), Groningen, The Netherlands.
| | - Yasmine E M Dreissen
- Neurology and Clinical Neurophysiology, Amsterdam University Medical Center, location AMC, Amsterdam, The Netherlands.
| | - Johannes H T M Koelman
- Neurology and Clinical Neurophysiology, Amsterdam University Medical Center, location AMC, Amsterdam, The Netherlands.
| | - Marina A J Tijssen
- Department of Neurology, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands; Expertise Center Movement Disorders Groningen, University Medical Center Groningen (UMCG), Groningen, The Netherlands.
| | - Harm J van der Horn
- Department of Neurology, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands.
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15
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Chaudhry AA, Naim S, Gul M, Chaudhry A, Chen M, Jandial R, Badie B. Utility of Preoperative Blood-Oxygen-Level-Dependent Functional MR Imaging in Patients with a Central Nervous System Neoplasm. Radiol Clin North Am 2019; 57:1189-1198. [PMID: 31582044 DOI: 10.1016/j.rcl.2019.07.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Functional neuroimaging provides means to understand the relationship between brain structure and associated functions. Functional MR (fMR) imaging can offer a unique insight into preoperative planning for central nervous system (CNS) neoplasms by identifying areas of the brain effected or spared by the neoplasm. BOLD (blood-oxygen-level-dependent) fMR imaging can be reliably used to map eloquent cortex presurgically and is sufficiently accurate for neurosurgical planning. In patients with brain tumors undergoing neurosurgical intervention, fMR imaging can decrease postoperative morbidity. This article discusses the applications, significance, and interpretation of BOLD fMR imaging, and its applications in presurgical planning for CNS neoplasms.
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Affiliation(s)
- Ammar A Chaudhry
- Precision Imaging Lab, Department of Diagnostic Radiology, City of Hope National Cancer Center, 1500 East Duarte Road, Los Angeles, CA 91010, USA.
| | - Sohaib Naim
- Department of Diagnostic Radiology, City of Hope National Cancer Center, 1500 East Duarte Road, Los Angeles, CA 91010, USA
| | - Maryam Gul
- Department of Diagnostic Radiology, City of Hope National Cancer Center, 1500 East Duarte Road, Los Angeles, CA 91010, USA
| | - Abbas Chaudhry
- Department of Diagnostic Radiology, City of Hope National Cancer Center, 1500 East Duarte Road, Los Angeles, CA 91010, USA
| | - Mike Chen
- Department of Neurosurgery, City of Hope National Cancer Center, 1500 East Duarte Road, Los Angeles, CA 91010, USA
| | - Rahul Jandial
- Department of Neurosurgery, City of Hope National Cancer Center, 1500 East Duarte Road, Los Angeles, CA 91010, USA
| | - Behnam Badie
- Department of Neurosurgery, City of Hope National Cancer Center, 1500 East Duarte Road, Los Angeles, CA 91010, USA
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Abstract
Purpose of Review Functional movement disorders are common and disabling causes of abnormal movement control. Here, we review the current state of the evidence on the use of neuroimaging in Functional movement disorders, particularly its role in helping to unravel the pathophysiology of this enigmatic condition. Recent Findings In recent years, there has been a shift in thinking about functional movement disorder, away from a focus on high-level psychological precipitants as in Freudian conversion theories, or even an implicit belief they are ‘put-on’ for secondary gain. New research has emphasised novel neurobiological models incorporating emotional processing, self-representation and agency. Summary Neuroimaging has provided new insights into functional movement disorders, supporting emerging neurobiological theories implicating dysfunctional emotional processing, self-image and sense of agency. Recent studies have also found subtle structural brain changes in patients with functional disorders, arguing against a strict functional/structural dichotomy.
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17
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Lv Y, Li L, Song Y, Han Y, Zhou C, Zhou D, Zhang F, Xue Q, Liu J, Zhao L, Zhang C, Han X. The Local Brain Abnormalities in Patients With Transient Ischemic Attack: A Resting-State fMRI Study. Front Neurosci 2019; 13:24. [PMID: 30804735 PMCID: PMC6371034 DOI: 10.3389/fnins.2019.00024] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2018] [Accepted: 01/11/2019] [Indexed: 11/28/2022] Open
Abstract
Background: Transient ischemic attack (TIA) is an important risk factor for stroke. Despite the transient episodes of clinical symptoms, brain alterations are still observed in patients with TIA. However, the functional mechanism of transient ischemia is still unclear. Here, we employed resting-state functional magnetic resonance imaging (rs-fMRI) to explore the functional abnormalities in patients with TIA. Methods: 48 TIA patients and 41 age- and sex-matched healthy controls (HCs) were enrolled in the study. For each participant, we collected rs-fMRI data and clinical/physiological/biochemical data. Amplitude of low frequency fluctuation (ALFF), regional homogeneity (ReHo), and degree centrality (DC) were then calculated. Two sample t-tests were performed to compare the ALFF, ReHo, and DC maps between the two groups. Furthermore, a correlation analysis was performed to explore the relationship between local brain abnormalities and clinical/physiological/biochemical characteristics tests in TIA patients. Results: Compared with the HCs, the TIA patients exhibited decreased ALFF in the left middle temporal gyrus, decreased DC in the triangular part of right inferior frontal gyrus, and no significant statistical difference in ReHo. No correlation was found between local abnormalities and clinical/physiological/biochemical scores in the patients with TIA. Conclusion: Collectively, we found decreased ALFF and DC in patients with TIA which provide evidence for local brain dysfunctions and may help to understand the pathological mechanism for the disease.
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Affiliation(s)
- Yating Lv
- Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China.,Department of Neurology, Anshan Changda Hospital, Anshan, China
| | - Lingyu Li
- Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China.,Department of Neurology, Anshan Changda Hospital, Anshan, China
| | - Yulin Song
- Department of Neurology, Anshan Changda Hospital, Anshan, China
| | - Yu Han
- Department of Neurology, The First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Chengshu Zhou
- Department of Neurology, Anshan Changda Hospital, Anshan, China
| | - Dan Zhou
- Department of Neurology, Anshan Changda Hospital, Anshan, China
| | - Fuding Zhang
- Department of Neurology, Anshan Changda Hospital, Anshan, China
| | - Qiming Xue
- Department of Image, Anshan Changda Hospital, Anshan, China
| | - Jinling Liu
- Department of Ultrasonics, Anshan Changda Hospital, Anshan, China
| | - Lijuan Zhao
- Department of Neurology, Anshan Changda Hospital, Anshan, China
| | - Cairong Zhang
- Department of Neurology, Anshan Changda Hospital, Anshan, China
| | - Xiujie Han
- Department of Neurology, Anshan Changda Hospital, Anshan, China
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18
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Psychogenic Nonepileptic Seizures (PNES) as a Network Disorder - Evidence From Neuroimaging of Functional (Psychogenic) Neurological Disorders. Epilepsy Curr 2018; 18:211-216. [PMID: 30254510 DOI: 10.5698/1535-7597.18.4.211] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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19
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Conejero I, Thouvenot E, Abbar M, Mouchabac S, Courtet P, Olié E. Neuroanatomy of conversion disorder: towards a network approach. Rev Neurosci 2018; 29:355-368. [DOI: 10.1515/revneuro-2017-0041] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2017] [Accepted: 09/16/2017] [Indexed: 01/22/2023]
Abstract
Abstract
The pathophysiology of conversion disorder is not well understood, although studies using functional brain imaging in patients with motor and sensory symptoms are progressively increasing. We conducted a systematic review of the literature with the aim of summarising the available data on the neuroanatomical features of this disorder. We also propose a general model of the neurobiological disturbance in motor conversion disorder. We systematically searched articles in Medline using the Medical Subject Headings terms ‘(conversion disorder or hysterical motor disorder) and (neuropsychology or cognition) or (functional magnetic resonance imaging or positron emission tomography or neuroimaging) or (genetics or polymorphisms or epigenetics) or (biomarkers or biology)’, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Two authors independently reviewed the retrieved records and abstracts, assessed the exhaustiveness of data abstraction, and confirmed the quality rating. Analysis of the available literature data shows that multiple specialised brain networks (self-agency, action monitoring, salience system, and memory suppression) influence action selection and modulate supplementary motor area activation. Some findings suggest that conceptualisation of movement and motor intention is preserved in patients with limb weakness. More studies are needed to fully understand the brain alterations in conversion disorders and pave the way for the development of effective therapeutic strategies.
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20
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Hassa T, Sebastian A, Liepert J, Weiller C, Schmidt R, Tüscher O. Symptom-specific amygdala hyperactivity modulates motor control network in conversion disorder. NEUROIMAGE-CLINICAL 2017; 15:143-150. [PMID: 28529870 PMCID: PMC5429234 DOI: 10.1016/j.nicl.2017.04.004] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Revised: 04/05/2017] [Accepted: 04/07/2017] [Indexed: 11/27/2022]
Abstract
Initial historical accounts as well as recent data suggest that emotion processing is dysfunctional in conversion disorder patients and that this alteration may be the pathomechanistic neurocognitive basis for symptoms in conversion disorder. However, to date evidence of direct interaction of altered negative emotion processing with motor control networks in conversion disorder is still lacking. To specifically study the neural correlates of emotion processing interacting with motor networks we used a task combining emotional and sensorimotor stimuli both separately as well as simultaneously during functional magnetic resonance imaging in a well characterized group of 13 conversion disorder patients with functional hemiparesis and 19 demographically matched healthy controls. We performed voxelwise statistical parametrical mapping for a priori regions of interest within emotion processing and motor control networks. Psychophysiological interaction (PPI) was used to test altered functional connectivity of emotion and motor control networks. Only during simultaneous emotional stimulation and passive movement of the affected hand patients displayed left amygdala hyperactivity. PPI revealed increased functional connectivity in patients between the left amygdala and the (pre-)supplemental motor area and the subthalamic nucleus, key regions within the motor control network. These findings suggest a novel mechanistic direct link between dysregulated emotion processing and motor control circuitry in conversion disorder. We studied emotion processing effects on motor networks in conversion disorder (CD). Simultaneous motor and emotional stimulation resulted in enhanced amygdala activation. Left amygdala showed increased functional connectivity with an inhibitory motor loop. This suggests a direct link of impaired emotion processing and motor networks in CD.
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Affiliation(s)
- Thomas Hassa
- Lurija Institute for Rehabilitation and Health Sciences, Allensbach, Germany; Neurological Rehabilitation Center Kliniken Schmieder, Allensbach, Germany
| | - Alexandra Sebastian
- Department of Psychiatry and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Germany
| | - Joachim Liepert
- Neurological Rehabilitation Center Kliniken Schmieder, Allensbach, Germany
| | - Cornelius Weiller
- Department of Neurology, Albert Ludwigs University of Freiburg, Germany
| | - Roger Schmidt
- Department of Psychotherapeutic Neurology Konstanz and Gailingen, Neurological Rehabilitation Center Kliniken Schmieder Konstanz, Germany; Department of Psychology, University of Konstanz, Germany.
| | - Oliver Tüscher
- Department of Psychiatry and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Germany; Department of Neurology, Albert Ludwigs University of Freiburg, Germany
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21
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Trpevski I, Dimitrova T, Boshkovski T, Stikov N, Kocarev L. Graphlet characteristics in directed networks. Sci Rep 2016; 6:37057. [PMID: 27830769 PMCID: PMC5103263 DOI: 10.1038/srep37057] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2016] [Accepted: 10/17/2016] [Indexed: 11/28/2022] Open
Abstract
Graphlet analysis is part of network theory that does not depend on the choice of the network null model and can provide comprehensive description of the local network structure. Here, we propose a novel method for graphlet-based analysis of directed networks by computing first the signature vector for every vertex in the network and then the graphlet correlation matrix of the network. This analysis has been applied to brain effective connectivity networks by considering both direction and sign (inhibitory or excitatory) of the underlying directed (effective) connectivity. In particular, the signature vectors for brain regions and the graphlet correlation matrices of the brain effective network are computed for 40 healthy subjects and common dependencies are revealed. We found that the signature vectors (node, wedge, and triangle degrees) are dominant for the excitatory effective brain networks. Moreover, by considering only those correlations (or anti correlations) in the correlation matrix that are significant (>0.7 or <−0.7) and are presented in more than 60% of the subjects, we found that excitatory effective brain networks show stronger causal (measured with Granger causality) patterns (G-causes and G-effects) than inhibitory effective brain networks.
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Affiliation(s)
- Igor Trpevski
- Macedonian Academy of Sciences and Arts, Skopje, Republic of Macedonia
| | - Tamara Dimitrova
- Macedonian Academy of Sciences and Arts, Skopje, Republic of Macedonia
| | - Tommy Boshkovski
- Macedonian Academy of Sciences and Arts, Skopje, Republic of Macedonia
| | - Nikola Stikov
- Institute for Biomedical Engineering, Ecole Polytechnique, Montreal, QC, Canada.,Montreal Heart Institute, Montreal, QC, Canada
| | - Ljupcho Kocarev
- Macedonian Academy of Sciences and Arts, Skopje, Republic of Macedonia.,Faculty of Computer Science and Engineering, UKIM, Skopje, Republic of Macedonia.,BioCircuits Institute, UC San Diego, La Jolla, CA 92093-0402, USA
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