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Davenport TE, Blitshteyn S, Clague-Baker N, Davies-Payne D, Treisman GJ, Tyson SF. Long COVID Is Not a Functional Neurologic Disorder. J Pers Med 2024; 14:799. [PMID: 39201991 PMCID: PMC11355889 DOI: 10.3390/jpm14080799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2024] [Revised: 07/22/2024] [Accepted: 07/23/2024] [Indexed: 09/03/2024] Open
Abstract
Long COVID is a common sequela of SARS-CoV-2 infection. Data from numerous scientific studies indicate that long COVID involves a complex interaction between pathophysiological processes. Long COVID may involve the development of new diagnosable health conditions and exacerbation of pre-existing health conditions. However, despite this rapidly accumulating body of evidence regarding the pathobiology of long COVID, psychogenic and functional interpretations of the illness presentation continue to be endorsed by some healthcare professionals, creating confusion and inappropriate diagnostic and therapeutic pathways for people living with long COVID. The purpose of this perspective is to present a clinical and scientific rationale for why long COVID should not be considered as a functional neurologic disorder. It will begin by discussing the parallel historical development of pathobiological and psychosomatic/sociogenic diagnostic constructs arising from a common root in neurasthenia, which has resulted in the collective understandings of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and functional neurologic disorder (FND), respectively. We will also review the case definition criteria for FND and the distinguishing clinical and neuroimaging findings in FND vs. long COVID. We conclude that considering long COVID as FND is inappropriate based on differentiating pathophysiologic mechanisms and distinguishing clinical findings.
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Affiliation(s)
- Todd E. Davenport
- Department of Physical Therapy, University of the Pacific, Stockton, CA 95211, USA
- Workwell Foundation, Santa Rosa, CA 95403, USA
| | - Svetlana Blitshteyn
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University of Buffalo, Buffalo, NY 14203, USA
- Dysautonomia Clinic, Williamsville, NY 14221, USA
| | - Nicola Clague-Baker
- School of Allied Health Professions and Nursing, Institute of Population Health, University of Liverpool, Liverpool L69 7ZX, UK
| | - David Davies-Payne
- Department of Radiology, Starship Children’s Hospital, Auckland 1023, New Zealand
| | - Glenn J. Treisman
- Department of Psychiatry, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA;
| | - Sarah F. Tyson
- School of Health Sciences, University of Manchester, Manchester M14 4PX, UK;
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Westlin C, Guthrie AJ, Paredes-Echeverri S, Maggio J, Finkelstein S, Godena E, Millstein D, MacLean J, Ranford J, Freeburn J, Adams C, Stephen C, Diez I, Perez DL. Machine learning classification of functional neurological disorder using structural brain MRI features. J Neurol Neurosurg Psychiatry 2024:jnnp-2024-333499. [PMID: 39033019 DOI: 10.1136/jnnp-2024-333499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 06/25/2024] [Indexed: 07/23/2024]
Abstract
BACKGROUND Brain imaging studies investigating grey matter in functional neurological disorder (FND) have used univariate approaches to report group-level differences compared with healthy controls (HCs). However, these findings have limited translatability because they do not differentiate patients from controls at the individual-level. METHODS 183 participants were prospectively recruited across three groups: 61 patients with mixed FND (FND-mixed), 61 age-matched and sex-matched HCs and 61 age, sex, depression and anxiety-matched psychiatric controls (PCs). Radial basis function support vector machine classifiers with cross-validation were used to distinguish individuals with FND from HCs and PCs using 134 FreeSurfer-derived grey matter MRI features. RESULTS Patients with FND-mixed were differentiated from HCs with an accuracy of 0.66 (p=0.005; area under the receiving operating characteristic (AUROC)=0.74); this sample was also distinguished from PCs with an accuracy of 0.60 (p=0.038; AUROC=0.56). When focusing on the functional motor disorder subtype (FND-motor, n=46), a classifier robustly differentiated these patients from HCs (accuracy=0.72; p=0.002; AUROC=0.80). FND-motor could not be distinguished from PCs, and the functional seizures subtype (n=23) could not be classified against either control group. Important regions contributing to statistically significant multivariate classifications included the cingulate gyrus, hippocampal subfields and amygdalar nuclei. Correctly versus incorrectly classified participants did not differ across a range of tested psychometric variables. CONCLUSIONS These findings underscore the interconnection of brain structure and function in the pathophysiology of FND and demonstrate the feasibility of using structural MRI to classify the disorder. Out-of-sample replication and larger-scale classifier efforts incorporating psychiatric and neurological controls are needed.
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Affiliation(s)
- Christiana Westlin
- Functional Neurological Disorder Research Group, Division of Behavioral Neurology & Integrated Brain Medicine, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Andrew J Guthrie
- Functional Neurological Disorder Research Group, Division of Behavioral Neurology & Integrated Brain Medicine, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Sara Paredes-Echeverri
- Functional Neurological Disorder Research Group, Division of Behavioral Neurology & Integrated Brain Medicine, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Julie Maggio
- Functional Neurological Disorder Research Group, Division of Behavioral Neurology & Integrated Brain Medicine, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Physical Therapy, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Sara Finkelstein
- Functional Neurological Disorder Research Group, Division of Behavioral Neurology & Integrated Brain Medicine, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Ellen Godena
- Functional Neurological Disorder Research Group, Division of Behavioral Neurology & Integrated Brain Medicine, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Daniel Millstein
- Functional Neurological Disorder Research Group, Division of Behavioral Neurology & Integrated Brain Medicine, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Julie MacLean
- Functional Neurological Disorder Research Group, Division of Behavioral Neurology & Integrated Brain Medicine, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Occupational Therapy, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Jessica Ranford
- Functional Neurological Disorder Research Group, Division of Behavioral Neurology & Integrated Brain Medicine, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Occupational Therapy, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Jennifer Freeburn
- Functional Neurological Disorder Research Group, Division of Behavioral Neurology & Integrated Brain Medicine, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Speech, Language, and Swallowing Disorders, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Caitlin Adams
- Functional Neurological Disorder Research Group, Division of Behavioral Neurology & Integrated Brain Medicine, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Christopher Stephen
- Functional Neurological Disorder Research Group, Division of Behavioral Neurology & Integrated Brain Medicine, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Movement Disorders Division, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Ibai Diez
- Functional Neurological Disorder Research Group, Division of Behavioral Neurology & Integrated Brain Medicine, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - David L Perez
- Functional Neurological Disorder Research Group, Division of Behavioral Neurology & Integrated Brain Medicine, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
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3
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Jungilligens J, Perez DL. Predictive Processing and the Pathophysiology of Functional Neurological Disorder. Curr Top Behav Neurosci 2024. [PMID: 38755514 DOI: 10.1007/7854_2024_473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/18/2024]
Abstract
The contemporary neuroscience understanding of the brain as an active inference organ supports that our conscious experiences, including sensorimotor perceptions, depend on the integration of probabilistic predictions with incoming sensory input across hierarchically organized levels. As in other systems, these complex processes are prone to error under certain circumstances, which may lead to alterations in their outcomes (i.e., variations in sensations and movements). Such variations are an important aspect of functional neurological disorder, a complex disorder at the interface of brain-mind-body interactions. Thus, predictive processing frameworks offer fundamental mechanistic insights into the pathophysiology of functional neurological disorder. In recent years, many of the aspects relevant to the neurobiology of functional neurological disorder - e.g., aberrant motor and sensory processes, symptom expectation, self-agency, and illness beliefs, as well as interoception, allostasis, and emotion - have been investigated through the lens of predictive processing frameworks. Here, we provide an overview of the current state of research on predictive processing and the pathophysiology of functional neurological disorder.
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Affiliation(s)
- Johannes Jungilligens
- Behavioral Neurology Research Group, Department of Neurology, University Hospital Knappschaftskrankenhaus Bochum, Ruhr University Bochum, Bochum, Germany
| | - David L Perez
- Division of Behavioral Neurology and Integrated Brain Medicine, Department of Neurology, Functional Neurological Disorder Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Division of Neuropsychiatry, Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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Danyeli LV, Sen ZD, Colic L, Opel N, Refisch A, Blekic N, Macharadze T, Kretzschmar M, Munk MJ, Gaser C, Speck O, Walter M, Li M. Cortical thickness of the posterior cingulate cortex is associated with the ketamine-induced altered sense of self: An ultra-high field MRI study. J Psychiatr Res 2024; 172:136-143. [PMID: 38382237 DOI: 10.1016/j.jpsychires.2024.02.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 01/31/2024] [Accepted: 02/07/2024] [Indexed: 02/23/2024]
Abstract
Subanesthetic doses of ketamine induce an antidepressant effect within hours in individuals with treatment-resistant depression while it furthermore induces immediate but transient psychotomimetic effects. Among these psychotomimetic effects, an altered sense of self has specifically been associated with the antidepressant response to ketamine as well as psychedelics. However, there is plenty of variation in the extent of the drug-induced altered sense of self experience that might be explained by differences in basal morphological characteristics, such as cortical thickness. Regions that have been previously associated with a psychedelics-induced sense of self and with ketamine's mechanism of action, are the posterior cingulate cortex (PCC) and the pregenual anterior cingulate cortex (pgACC). In this randomized, placebo-controlled, double-blind cross-over magnetic resonance imaging study, thirty-five healthy male participants (mean age ± standard deviation (SD) = 25.1 ± 4.2 years) were scanned at 7 T. We investigated whether the cortical thickness of two DMN regions, the PCC and the pgACC, are associated with disembodiment and experience of unity scores, which were used to index the ketamine-induced altered sense of self. We observed a negative correlation between the PCC cortical thickness and the disembodiment scores (R = -0.54, p < 0.001). In contrast, no significant association was found between the pgACC cortical thickness and the ketamine-induced altered sense of self. In the context of the existing literature, our findings highlight the importance of the PCC as a structure involved in the mechanism of ketamine-induced altered sense of self that seems to be shared with different antidepressant agents with psychotomimetic effects operating on different classes of transmitter systems.
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Affiliation(s)
- Lena Vera Danyeli
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Clinical Affective Neuroimaging Laboratory (CANLAB), Magdeburg, Germany; Department of Psychiatry and Psychotherapy, University Tübingen, Tübingen, Germany; Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Halle-Jena-Magdeburg, Germany
| | - Zümrüt Duygu Sen
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Clinical Affective Neuroimaging Laboratory (CANLAB), Magdeburg, Germany; Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Halle-Jena-Magdeburg, Germany
| | - Lejla Colic
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Halle-Jena-Magdeburg, Germany; German Center for Mental Health (DZPG), partner site Halle-Jena-Magdeburg, Germany
| | - Nils Opel
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Halle-Jena-Magdeburg, Germany; German Center for Mental Health (DZPG), partner site Halle-Jena-Magdeburg, Germany
| | - Alexander Refisch
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Halle-Jena-Magdeburg, Germany
| | - Nikolai Blekic
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Clinical Affective Neuroimaging Laboratory (CANLAB), Magdeburg, Germany
| | - Tamar Macharadze
- Department of Anesthesiology and Intensive Care Medicine, Medical Faculty, Otto-von-Guericke University Magdeburg, Magdeburg, Germany; Department Systems Physiology of Learning, Leibniz Institute for Neurobiology, Magdeburg, Germany; Center for Behavioral Brain Sciences, Magdeburg, Germany; Department of Behavioral Neurology, Leibniz Institute for Neurobiology, Magdeburg, Germany
| | - Moritz Kretzschmar
- Department of Anesthesiology and Intensive Care Medicine, Medical Faculty, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - MatthiasH J Munk
- Department of Psychiatry and Psychotherapy, University Tübingen, Tübingen, Germany; Systems Neurophysiology, Department of Biology, Darmstadt University of Technology, Darmstadt, Germany
| | - Christian Gaser
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Halle-Jena-Magdeburg, Germany; German Center for Mental Health (DZPG), partner site Halle-Jena-Magdeburg, Germany; Department of Neurology, Jena University Hospital, Jena, Germany
| | - Oliver Speck
- Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Halle-Jena-Magdeburg, Germany; German Center for Mental Health (DZPG), partner site Halle-Jena-Magdeburg, Germany; Center for Behavioral Brain Sciences, Magdeburg, Germany; Department of Behavioral Neurology, Leibniz Institute for Neurobiology, Magdeburg, Germany; Department of Biomedical Magnetic Resonance, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Martin Walter
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Clinical Affective Neuroimaging Laboratory (CANLAB), Magdeburg, Germany; Department of Psychiatry and Psychotherapy, University Tübingen, Tübingen, Germany; Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Halle-Jena-Magdeburg, Germany; German Center for Mental Health (DZPG), partner site Halle-Jena-Magdeburg, Germany; Center for Behavioral Brain Sciences, Magdeburg, Germany; Department of Behavioral Neurology, Leibniz Institute for Neurobiology, Magdeburg, Germany.
| | - Meng Li
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Clinical Affective Neuroimaging Laboratory (CANLAB), Magdeburg, Germany; Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Halle-Jena-Magdeburg, Germany.
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Mueller C, Sharma AA, Szaflarski JP. Peripheral and Central Nervous System Biomarkers of Inflammation in Functional Seizures: Assessment with Magnetic Resonance Spectroscopy. Neuropsychiatr Dis Treat 2023; 19:2729-2743. [PMID: 38077237 PMCID: PMC10710262 DOI: 10.2147/ndt.s437063] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 11/21/2023] [Indexed: 02/12/2024] Open
Abstract
Purpose Inflammation may link trauma to clinical symptoms in functional seizures (FS). We compared brain temperature and metabolites in FS, psychiatric (PCs) and healthy controls (HCs) and quantified their associations with serum biomarkers of inflammation and clinical symptoms. Patients and Methods Brain temperature and metabolites were measured with whole-brain magnetic resonance spectroscopic imaging (MRSI) and compared between groups in regions of interest and the whole brain. Relationships with inflammatory biomarkers and symptoms were assessed with Pearson correlations. Results Brain temperature was higher in FS than HCs in the orbitofrontal cortex (OFC) and anterior cingulate gyrus (ACG) and lower in the occipital cortex and frontal lobe. PCs showed lower temperatures than HCs in the frontal lobe including precentral gyrus and in the cerebellum. Myo-inositol (MINO) was higher in FS than HCs in the precentral gyrus, posterior temporal gyrus, ACG and OFC, and choline (CHO) was higher in the occipital lobe. CHO was higher in PCs than HCs in the ACG and OFC, and N-acetylaspartate (NAA) was higher in the ACG. There were no significant correlations with the serum inflammatory biomarkers. In FS, brain temperature correlated with depression, quality of life, psychological symptoms, and disability, CHO correlated with disability, and MINO correlated with hostility, disability, and quality of life. Conclusion Some of the previously identified neuroimaging abnormalities in FS may be related to comorbid psychiatric symptoms, while others, such as abnormalities in sensorimotor cortex, occipital regions, and the temporo-parietal junction may be specific to FS. Overlapping MINO and temperature increases in the ACG and OFC in FS suggest neuroinflammation.
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Affiliation(s)
- Christina Mueller
- Department of Neurology, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Ayushe A Sharma
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Jerzy P Szaflarski
- Departments of Neurology, Neurobiology, and Neurosurgery, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
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Sone D. White Matter Structural Connectivity and Its Impact on Psychogenic Non-Epileptic Seizures: An Evidence-Based Review. Neuropsychiatr Dis Treat 2023; 19:1573-1579. [PMID: 37457838 PMCID: PMC10349606 DOI: 10.2147/ndt.s402378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 07/06/2023] [Indexed: 07/18/2023] Open
Abstract
Psychiatric non-epileptic seizure (PNES), also known as a form of functional neurological disorders (FND), is a common but still underrecognized disorder presenting seizure-like symptoms and no electrophysiological abnormality. Despite the significant burden of this disorder, the neurobiological mechanisms are not clearly understood, which hinders the development of better diagnosis and treatment. In the recent neuroimaging research on PNES, brain network analysis has become a relevant topic beyond conventional methodologies. The human brain is a highly intricate system of interconnected regions that collaborate to facilitate a wide range of cognitive and behavioral functions. White matter tracts, which are comprised of bundles of axonal fibers, are the primary means by which information is transmitted between different brain regions. As such, comprehending the organization and structure of the brain's white matter network is critical for gaining insight into its functional architecture. This review article aims to provide an overview of the brain mechanisms underlying PNES, with a special focus on analyzing brain networks.
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Affiliation(s)
- Daichi Sone
- Department of Psychiatry, Jikei University School of Medicine, Tokyo, Japan
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Weber S, Bühler J, Vanini G, Loukas S, Bruckmaier R, Aybek S. Identification of biopsychological trait markers in functional neurological disorders. Brain 2023; 146:2627-2641. [PMID: 36417451 PMCID: PMC10232283 DOI: 10.1093/brain/awac442] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 11/07/2022] [Accepted: 11/12/2022] [Indexed: 11/26/2023] Open
Abstract
Stress is a well-known risk factor to develop a functional neurological disorder, a frequent neuropsychiatric medical condition in which patients experience a variety of disabling neurological symptoms. Only little is known about biological stress regulation, and how it interacts with predisposing biological and psychosocial risk factors. Dysregulation of the hypothalamic-pituitary-adrenal axis in patients with functional neurological disorders has been postulated, but its relationship to preceding psychological trauma and brain anatomical changes remains to be elucidated. We set out to study the hypothalamic-pituitary-adrenal axis analysing the cortisol awakening response and diurnal baseline cortisol in 86 patients with mixed functional neurological symptoms compared to 76 healthy controls. We then examined the association between cortisol regulation and the severity and duration of traumatic life events. Finally, we analysed volumetric brain alterations in brain regions particularly sensitive to psychosocial stress, acting on the assumption of the neurotoxic effect of prolonged cortisol exposure. Overall, patients had a significantly flatter cortisol awakening response (P < 0.001) and reported longer (P = 0.01) and more severe (P < 0.001) emotional neglect as compared to healthy controls. Moreover, volumes of the bilateral amygdala and hippocampus were found to be reduced in patients. Using a partial least squares correlation, we found that in patients, emotional neglect plays a role in the multivariate pattern between trauma history and hypothalamic-pituitary-adrenal axis dysfunction, while cortisol did not relate to reduced brain volumes. This suggests that psychological stress acts as a precipitating psychosocial risk factor, whereas a reduced brain volume rather represents a biological predisposing trait marker for the disorder. Contrarily, an inverse relationship between brain volume and cortisol was found in healthy controls, representing a potential neurotoxic effect of cortisol. These findings support the theory of reduced subcortical volumes representing a predisposing trait factor in functional neurological disorders, rather than a state effect of the illness. In summary, this study supports a stress-diathesis model for functional neurological disorders and showed an association between different attributes of trauma history and abnormalities in hypothalamus-pituitary-adrenal axis function. Moreover, we suggest that reduced hippocampal and amygdalar volumes represent a biological 'trait marker' for functional neurological disorder patients, which might contribute to a reduced resilience to stress.
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Affiliation(s)
- Samantha Weber
- Department of Neurology, Psychosomatic Medicine Unit, Inselspital Bern University Hospital, University of Bern, 3012 Bern, Switzerland
- Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, 3010 Bern, Switzerland
- Graduate School for Cellular and Biomedical Sciences (GCB), University of Bern, 3010 Bern, Switzerland
| | - Janine Bühler
- Department of Neurology, Psychosomatic Medicine Unit, Inselspital Bern University Hospital, University of Bern, 3012 Bern, Switzerland
- Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, 3010 Bern, Switzerland
- Graduate School for Health Sciences (GHS), University of Bern, 3012 Bern, Switzerland
| | - Giorgio Vanini
- Department of Neurology, Psychosomatic Medicine Unit, Inselspital Bern University Hospital, University of Bern, 3012 Bern, Switzerland
| | - Serafeim Loukas
- Department of Neurology, Psychosomatic Medicine Unit, Inselspital Bern University Hospital, University of Bern, 3012 Bern, Switzerland
- Division of Development and Growth, Department of Pediatrics, University of Geneva, 1211 Geneva, Switzerland
- Institute of Bioengineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
| | - Rupert Bruckmaier
- Veterinary Physiology, Vetsuisse Faculty, University of Bern, 3012 Bern, Switzerland
| | - Selma Aybek
- Department of Neurology, Psychosomatic Medicine Unit, Inselspital Bern University Hospital, University of Bern, 3012 Bern, Switzerland
- Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, 3010 Bern, Switzerland
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Roberts NA, Villarreal LD, Burleson MH. Socioemotional self- and co-regulation in functional seizures: comparing high and low posttraumatic stress. Front Psychiatry 2023; 14:1135590. [PMID: 37255682 PMCID: PMC10225681 DOI: 10.3389/fpsyt.2023.1135590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Accepted: 04/13/2023] [Indexed: 06/01/2023] Open
Abstract
Functional seizures (FS) are seizure-like symptoms without electroencephalogram (EEG)-based epileptic activity. Those with FS often show emotion-related dysfunction and disrupted interpersonal relationships, in which posttraumatic stress disorder symptoms (PTS) may play a role. We sought to better understand trauma comorbidities and socioemotional processes in FS, including affectionate touch, a form of social connection linked to emotion regulation and awareness. We administered questionnaires online to a community sample of 89 trauma-exposed FS participants (FS diagnoses were self-reported), 51 with and 38 without clinical-level PTS (FS-PTShi, FS-PTSlo) and 216 seizure-free matched trauma-exposed controls (TCs), 91 with and 125 without clinical-level PTS (TC-PTShi, TC-PTSlo) per the Posttraumatic Stress Disorder Symptom Checklist (PCL). As hypothesized, both FS-PTShi and FS-PTSlo reported more emotional avoidance (Brief Experiential Avoidance Questionnaire), more emotion regulation difficulties (Difficulties in Emotion Regulation Scale), and more perceived stress (Perceived Stress Scale) than PTS-matched counterparts. FS-PTShi also reported less reappraisal (Emotion Regulation Questionnaire), more loneliness (UCLA Loneliness Scale), and less frequent affectionate touch (Physical Affection Scale) during waking and surrounding sleep than TC-PTShi, whereas FS-PTSlo and TC-PTSlo did not differ. Neither FS group differed from PTS-matched controls in emotion suppression (Emotion Regulation Questionnaire) or comfort with social touch (Social Touch Questionnaire). Among FS, FS-PTShi reported more difficulties than FS-PTSlo on nearly all measures (non-significant trend for social support). Findings underscore potential synergistic effects of FS and PTS clinical symptoms in shaping experiences of one's emotions and social world, suggesting fostering meaningful connections with others, including via affectionate touch, is an important treatment target.
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Goodman AM, Kakulamarri P, Nenert R, Allendorfer JB, Philip NS, Correia S, LaFrance WC, Szaflarski JP. Relationship between intrinsic network connectivity and psychiatric symptom severity in functional seizures. J Neurol Neurosurg Psychiatry 2023; 94:136-143. [PMID: 36302640 DOI: 10.1136/jnnp-2022-329838] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 10/11/2022] [Indexed: 01/12/2023]
Abstract
BACKGROUND Traumatic brain injury (TBI) may precipitate the onset of functional seizures (FSs). Many patients with FS report at least one prior TBI, and these patients typically present with more severe psychiatric comorbidities. TBI and psychopathology are linked to changes in neural network connectivity, but their combined effects on these networks and relationship to the effects of FS remain unclear. We hypothesised that resting-state functional connectivity (rsFC) would differ between patients with FS and TBI (FS+TBI) compared with TBI without FS (TBI only), with variability only partially explained by the presence of psychopathology. METHODS Patients with FS+TBI (n=52) and TBI only (n=54) were matched for age and sex. All participants completed psychiatric assessments prior to resting-state functional MRI at 3 T. Independent component analysis identified five canonical rsFC networks related to emotion and motor functions. RESULTS Five linear mixed-effects analyses identified clusters of connectivity coefficients that differed between groups within the posterior cingulate of the default mode network, insula and supramarginal gyrus of the executive control network and bilateral anterior cingulate of the salience network (all α=0.05, corrected). Cluster signal extractions revealed decreased contributions to each network for FS+TBI compared to TBI only. Planned secondary analyses demonstrated correlations between signal and severity of mood, anxiety, somatisation and global functioning symptoms. CONCLUSIONS These findings indicate the presence of aberrant connectivity in FS and extend the biopsychosocial network model by demonstrating that common aetiology is linked to both FS and comorbidities, but the overlap in affected networks varies by comorbid symptoms.
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Affiliation(s)
- Adam M Goodman
- Neurology, The University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Pranav Kakulamarri
- Neurology, The University of Alabama at Birmingham, Birmingham, Alabama, USA.,Psychology, The University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Rodolphe Nenert
- Neurology, The University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Jane B Allendorfer
- Neurology, The University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Noah S Philip
- RR&D Center for Neurorestoration and Neurotechnology, VA Providence Healthcare System, Providence, Rhode Island, USA.,Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Stephen Correia
- RR&D Center for Neurorestoration and Neurotechnology, VA Providence Healthcare System, Providence, Rhode Island, USA.,Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - W Curt LaFrance
- RR&D Center for Neurorestoration and Neurotechnology, VA Providence Healthcare System, Providence, Rhode Island, USA.,Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA.,Neurology, Alpert Medical School of Brown University, Providence, RI, USA.,Division of Neuropsychiatry and Behavioral Neurology, Rhode Island Hospital, Providence, Rhode Island, USA
| | - Jerzy P Szaflarski
- Neurology, The University of Alabama at Birmingham, Birmingham, Alabama, USA
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10
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Blanco S, Mitra S, Howard C, Sumich A. Psychological trauma, mood and social isolation do not explain elevated dissociation in functional neurological disorder (FND). PERSONALITY AND INDIVIDUAL DIFFERENCES 2023. [DOI: 10.1016/j.paid.2022.111952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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11
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Murphy RJ. Depersonalization/Derealization Disorder and Neural Correlates of Trauma-related Pathology: A Critical Review. INNOVATIONS IN CLINICAL NEUROSCIENCE 2023; 20:53-59. [PMID: 37122581 PMCID: PMC10132272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
Depersonalization and derealization refer to an estranged state of mind that involves a profound feeling of detachment from one's sense of self and the surrounding environment, respectively. The phenomena co-occur on a continuum of severity, ranging from a transient experience as a normal reaction to a traumatic event to a highly debilitating condition with persistent symptoms, formally described as depersonalization/derealization disorder (DPDR). Lack of awareness of DPDR is partly due to a limited neurobiological framework, and there remains a significant risk of misdiagnosis in clinical practice. Earlier literature has focused on several brain regions involved in the experience of depersonalization and derealization, including adaptive responses to stress via defense cascades comprising autonomic functioning, the hypothalamic-pituitary-adrenal (HPA) axis, and various other neurocircuits. Recent evidence has also demonstrated the role of more complex mechanisms that are bolstered by dissociative features, such as emotional dysregulation and disintegration of the body schema. This review intends to abridge the prevailing knowledge regarding structural and functional brain alterations associated with DPDR with that of its heterogenic manifestations. DPDR is not merely the disruption of various sensory integrations, but also of several large-scale brain networks. Although a comprehensive antidote is not available for DPDR, a holistic route to the neurobiological context in DPDR may improve general understanding of the disorder and help afflicted individuals re-establish their sense of personal identity. Such information may also be useful in the development of novel pharmacological agents and targeted psychological interventions.
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Affiliation(s)
- Rachael J Murphy
- Dr. Murphy is with the Department of Psychiatry at Lehigh Valley Health Network in Bethlehem, Pennsylvania
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12
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Campbell MC, Smakowski A, Rojas-Aguiluz M, Goldstein LH, Cardeña E, Nicholson TR, Reinders AATS, Pick S. Dissociation and its biological and clinical associations in functional neurological disorder: systematic review and meta-analysis. BJPsych Open 2022; 9:e2. [PMID: 36451595 PMCID: PMC9798224 DOI: 10.1192/bjo.2022.597] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND Studies have reported elevated rates of dissociative symptoms and comorbid dissociative disorders in functional neurological disorder (FND); however, a comprehensive review is lacking. AIMS To systematically review the severity of dissociative symptoms and prevalence of comorbid dissociative disorders in FND and summarise their biological and clinical associations. METHOD We searched Embase, PsycInfo and MEDLINE up to June 2021, combining terms for FND and dissociation. Studies were eligible if reporting dissociative symptom scores or rates of comorbid dissociative disorder in FND samples. Risk of bias was appraised using modified Newcastle-Ottawa criteria. The findings were synthesised qualitatively and dissociative symptom scores were included in a meta-analysis (PROSPERO CRD42020173263). RESULTS Seventy-five studies were eligible (FND n = 3940; control n = 3073), most commonly prospective case-control studies (k = 54). Dissociative disorders were frequently comorbid in FND. Psychoform dissociation was elevated in FND compared with healthy (g = 0.90, 95% CI 0.66-1.14, I2 = 70%) and neurological controls (g = 0.56, 95% CI 0.19-0.92, I2 = 67%). Greater psychoform dissociation was observed in FND samples with seizure symptoms versus healthy controls (g = 0.94, 95% CI 0.65-1.22, I2 = 42%) and FND samples with motor symptoms (g = 0.40, 95% CI -0.18 to 1.00, I2 = 54%). Somatoform dissociation was elevated in FND versus healthy controls (g = 1.80, 95% CI 1.25-2.34, I2 = 75%). Dissociation in FND was associated with more severe functional symptoms, worse quality of life and brain alterations. CONCLUSIONS Our findings highlight the potential clinical utility of assessing patients with FND for dissociative symptomatology. However, fewer studies investigated FND samples with motor symptoms and heterogeneity between studies and risk of bias were high. Rigorous investigation of the prevalence, features and mechanistic relevance of dissociation in FND is needed.
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Affiliation(s)
- Malcolm C Campbell
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; and Central and North West London NHS Foundation Trust, London, UK
| | - Abigail Smakowski
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; and University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Maya Rojas-Aguiluz
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - Laura H Goldstein
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - Etzel Cardeña
- Center for Research on Consciousness and Anomalous Psychology (CERCAP), Department of Psychology, Lund University, Lund, Sweden
| | - Timothy R Nicholson
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | | | - Susannah Pick
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
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13
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Jungilligens J, Popkirov S, Perez DL, Diez I. Linking gene expression patterns and brain morphometry to trauma and symptom severity in patients with functional seizures. Psychiatry Res Neuroimaging 2022; 326:111533. [PMID: 36055038 PMCID: PMC9968826 DOI: 10.1016/j.pscychresns.2022.111533] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 06/05/2022] [Accepted: 08/24/2022] [Indexed: 11/30/2022]
Abstract
Within stress-diathesis models, adverse life experiences (ALEs) increase the susceptibility to functional neurological symptoms through neuroplasticity effects. We aimed to characterize potential genetic influences on this relationship in 20 patients with functional seizures. Questionnaires, structural MRIs and Allen Human Brain Atlas gene expression information were used to probe the intersection of symptom severity (Somatoform Dissociation Questionnaire, SDQ-20), ALE burden, and gray matter volumes. SDQ-20 scores positively correlated with sexual trauma, emotional neglect, and threat to life experiences. Higher SDQ-20 scores related to lower bilateral insula, left orbitofrontal, right amygdala, and perigenual/posterior cingulate volumes. Higher sexual trauma burden correlated with lower right posterior insula and putamen volumes; higher emotional neglect related to lower bilateral insula/right amygdala volumes. Findings in left insula/ventral precentral gyrus (SDQ-20), right insula/putamen (sexual trauma), and right amygdala (emotional neglect) held when controlling for comorbid psychopathology. At the intersection of symptom severity and sexual trauma volumetric findings, genes overrepresented in adrenergic, serotonergic, and oxytocin receptor signaling as well as in cortical and amygdala development were spatially correlated. In conclusion, ALEs and symptom severity were associated with gray matter volumes in cingulo-insular and amygdala areas, spatially overlapping with expression patterns of genes involved in stress-related signaling and neurodevelopment.
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Affiliation(s)
- Johannes Jungilligens
- Department of Neurology, University Hospital Knappschaftskrankenhaus, Ruhr University Bochum, Bochum, Germany; Functional Neurological Disorder Unit, Division of Cognitive Behavioral Neurology, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America.
| | - Stoyan Popkirov
- Department of Neurology, University Hospital Knappschaftskrankenhaus, Ruhr University Bochum, Bochum, Germany
| | - David L Perez
- Functional Neurological Disorder Unit, Division of Cognitive Behavioral Neurology, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America; Division of Neuropsychiatry, Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Ibai Diez
- Functional Neurological Disorder Unit, Division of Cognitive Behavioral Neurology, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America; Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
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14
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Kerr WT, Tatekawa H, Lee JK, Karimi AH, Sreenivasan SS, O'Neill J, Smith JM, Hickman LB, Savic I, Nasrullah N, Espinoza R, Narr K, Salamon N, Beimer NJ, Hadjiiski LM, Eliashiv DS, Stacey WC, Engel J, Feusner JD, Stern JM. Clinical MRI morphological analysis of functional seizures compared to seizure-naïve and psychiatric controls. Epilepsy Behav 2022; 134:108858. [PMID: 35933959 DOI: 10.1016/j.yebeh.2022.108858] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 06/26/2022] [Accepted: 07/15/2022] [Indexed: 11/15/2022]
Abstract
PURPOSE Functional seizures (FS), also known as psychogenic nonepileptic seizures (PNES), are physical manifestations of acute or chronic psychological distress. Functional and structural neuroimaging have identified objective signs of this disorder. We evaluated whether magnetic resonance imaging (MRI) morphometry differed between patients with FS and clinically relevant comparison populations. METHODS Quality-screened clinical-grade MRIs were acquired from 666 patients from 2006 to 2020. Morphometric features were quantified with FreeSurfer v6. Mixed-effects linear regression compared the volume, thickness, and surface area within 201 regions-of-interest for 90 patients with FS, compared to seizure-naïve patients with depression (n = 243), anxiety (n = 68), and obsessive-compulsive disorder (OCD, n = 41), respectively, and to other seizure-naïve controls with similar quality MRIs, accounting for the influence of multiple confounds including depression and anxiety based on chart review. These comparison populations were obtained through review of clinical records plus research studies obtained on similar scanners. RESULTS After Bonferroni-Holm correction, patients with FS compared with seizure-naïve controls exhibited thinner bilateral superior temporal cortex (left 0.053 mm, p = 0.014; right 0.071 mm, p = 0.00006), thicker left lateral occipital cortex (0.052 mm, p = 0.0035), and greater left cerebellar white-matter volume (1085 mm3, p = 0.0065). These findings were not accounted for by lower MRI quality in patients with FS. CONCLUSIONS These results reinforce prior indications of structural neuroimaging correlates of FS and, in particular, distinguish brain morphology in FS from that in depression, anxiety, and OCD. Future work may entail comparisons with other psychiatric disorders including bipolar and schizophrenia, as well as exploration of brain structural heterogeneity within FS.
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Affiliation(s)
- Wesley T Kerr
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA; Department of Neurology, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA; Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA.
| | - Hiroyuki Tatekawa
- Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - John K Lee
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Amir H Karimi
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Siddhika S Sreenivasan
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Joseph O'Neill
- Division of Child & Adolescent Psychiatry, Jane & Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA; Brain Research Institute, University of California Los Angeles, Los Angeles, CA, USA
| | - Jena M Smith
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - L Brian Hickman
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Ivanka Savic
- Department of Women's and Children's Health, Karolinska Institute and Neurology Clinic, Karolinksa University Hospital, Karolinska Universitetssjukhuset, Stockholm, Sweden
| | - Nilab Nasrullah
- Department of Women's and Children's Health, Karolinska Institute and Neurology Clinic, Karolinksa University Hospital, Karolinska Universitetssjukhuset, Stockholm, Sweden
| | - Randall Espinoza
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Katherine Narr
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Noriko Salamon
- Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Nicholas J Beimer
- Department of Neurology, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA; Department of Psychiatry, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Lubomir M Hadjiiski
- Department of Radiology, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Dawn S Eliashiv
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - William C Stacey
- Department of Neurology, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
| | - Jerome Engel
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA; Brain Research Institute, University of California Los Angeles, Los Angeles, CA, USA; Department of Neurobiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Jamie D Feusner
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA; Centre for Addiction and Mental Health, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada; Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | - John M Stern
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
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15
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Lizarazo DA, Guarnizo A. The Nosologic Term "Conversive" Disorder Should Be Abandoned. AJNR Am J Neuroradiol 2022; 43:E17. [PMID: 35863778 PMCID: PMC9575429 DOI: 10.3174/ajnr.a7504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- D A Lizarazo
- Fundación Santa Fe de BogotáUniversidad El BosqueBogotá, Colombia
| | - A Guarnizo
- Fundación Santa Fe de BogotáUniversidad El BosqueBogotá, Colombia
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16
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Kearns NT, Contractor AA, Weiss NH. Measurement Invariance of the Reckless and Self-destructive Behaviors Construct Assessed by the Posttrauma Risky Behaviors Questionnaire (PRBQ) Across Trauma Type and Trauma Count. JOURNAL OF PSYCHOPATHOLOGY AND BEHAVIORAL ASSESSMENT 2022. [DOI: 10.1007/s10862-021-09923-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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17
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Ertan D, Aybek S, LaFrance WC, Kanemoto K, Tarrada A, Maillard L, El-Hage W, Hingray C. Functional (psychogenic non-epileptic/dissociative) seizures: why and how? J Neurol Neurosurg Psychiatry 2022; 93:144-157. [PMID: 34824146 DOI: 10.1136/jnnp-2021-326708] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 10/18/2021] [Indexed: 11/04/2022]
Abstract
Functional seizures (FS) known also as psychogenic non-epileptic seizures or dissociative seizures, present with ictal semiological manifestations, along with various comorbid neurological and psychological disorders. Terminology inconsistencies and discrepancies in nomenclatures of FS may reflect limitations in understanding the neuropsychiatric intricacies of this disorder. Psychological and neurobiological processes of FS are incompletely understood. Nevertheless, important advances have been made on underlying neuropsychopathophysiological mechanisms of FS. These advances provide valuable information about the underlying mechanisms of mind-body interactions. From this perspective, this narrative review summarises recent studies about aetiopathogenesis of FS at two levels: possible risk factors (why) and different aetiopathogenic models of FS (how). We divided possible risk factors for FS into three categories, namely neurobiological, psychological and cognitive risk factors. We also presented different models of FS based on psychological and neuroanatomical understanding, multilevel models and integrative understanding of FS. This work should help professionals to better understand current views on the multifactorial mechanisms involved in the development of FS. Shedding light on the different FS profiles in terms of aetiopathogenesis will help guide how best to direct therapy, based on these different underlying mechanisms.
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Affiliation(s)
- Deniz Ertan
- CRAN,UMR7039, Centre de Recherche en Automatique de Nancy, Vandoeuvre les Nancy, Grand Est, France.,Unité de recherche clinique, Établissement Médical de La Teppe, Tain-l'Hermitage, France
| | - Selma Aybek
- Department of Clinical Neuroscience, Hopitaux Universitaires de Geneve, Geneva, Switzerland.,Department of Clinical Neuroscience, Inselspital Universitatsspital Bern Universitatsklinik fur Neurologie, Bern, Switzerland
| | - W Curt LaFrance
- Psychiatry and Neurology, Brown Medical School Rhode Island Hospital, Providence, Rhode Island, USA
| | - Kousuke Kanemoto
- Neuropsychiatric Department, Aichi Medical University, Nagakute, Aichi, Japan
| | - Alexis Tarrada
- Neurology Department, CHRU de Nancy, Nancy, Lorraine, France.,University Psychiatry Department, Centre Psychothérapique de Nancy, Laxou, Lorraine, France
| | - Louis Maillard
- CRAN,UMR7039, Centre de Recherche en Automatique de Nancy, Vandoeuvre les Nancy, Grand Est, France.,Neurology Department, CHRU de Nancy, Nancy, Lorraine, France
| | - Wissam El-Hage
- Department of Psychiatry, CHRU Tours, Tours, Centre, France
| | - Coraline Hingray
- Neurology Department, CHRU de Nancy, Nancy, Lorraine, France .,University Psychiatry Department, Centre Psychothérapique de Nancy, Laxou, Lorraine, France
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18
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Aberizk K, Collins MA, Addington J, Bearden CE, Cadenhead KS, Cornblatt BA, Mathalon DH, McGlashan TH, Perkins DO, Tsuang MT, Woods SW, Cannon TD, Walker EF. Life Event Stress and Reduced Cortical Thickness in Youth at Clinical High Risk for Psychosis and Healthy Control Subjects. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2022; 7:171-179. [PMID: 33930604 PMCID: PMC8551305 DOI: 10.1016/j.bpsc.2021.04.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 03/21/2021] [Accepted: 04/20/2021] [Indexed: 02/03/2023]
Abstract
BACKGROUND A decline in cortical thickness during early life appears to be a normal neuromaturational process. Accelerated cortical thinning has been linked with conversion to psychosis among individuals at clinical high risk for psychosis (CHR-P). Previous research indicates that exposure to life event stress (LES) is associated with exaggerated cortical thinning in both healthy and clinical populations, and LES is also linked with conversion to psychosis in CHR-P. To date, there are no reports on the relationship of LES with cortical thickness in CHR-P. This study examines this relationship and whether LES is linked with cortical thinning to a greater degree in individuals at CHR-P who convert to psychosis compared with individuals at CHR-P who do not convert and healthy control subjects. METHODS Controlling for age and gender (364 male, 262 female), this study examined associations between LES and baseline cortical thickness in 436 individuals at CHR-P (375 nonconverters and 61 converters) and 190 comparison subjects in the North American Prodrome Longitudinal Study. RESULTS Findings indicate that prebaseline cumulative LES is associated with reduced baseline cortical thickness in several regions among the CHR-P and control groups. Evidence suggests that LES is a risk factor for thinner cortex to the same extent across diagnostic groups, while CHR-P status is linked with thinner cortex in select regions after accounting for LES. CONCLUSIONS This research provides additional evidence to support the role of LES in cortical thinning in both healthy youth and those at CHR-P. Potential underlying mechanisms of the findings and implications for future research are discussed.
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Affiliation(s)
- Katrina Aberizk
- Department of Psychology, Emory University, Atlanta, Georgia.
| | - Meghan A Collins
- Department of Psychology, Yale University, New Haven, Connecticut
| | - Jean Addington
- Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
| | - Carrie E Bearden
- Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, California; Department of Psychology, University of California Los Angeles, Los Angeles, California
| | - Kristin S Cadenhead
- Department of Psychiatry, University of California San Diego, San Diego, California
| | | | - Daniel H Mathalon
- Department of Psychiatry, University of California San Francisco, San Francisco, California; San Francisco VA Medical Center, San Francisco, California
| | | | - Diana O Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina
| | - Ming T Tsuang
- Department of Psychiatry, University of California San Diego, San Diego, California
| | - Scott W Woods
- Department of Psychiatry, Yale University, New Haven, Connecticut
| | - Tyrone D Cannon
- Department of Psychology, Yale University, New Haven, Connecticut; Department of Psychiatry, Yale University, New Haven, Connecticut
| | - Elaine F Walker
- Department of Psychology, Emory University, Atlanta, Georgia
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19
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Sense of agency disturbances in movement disorders: A comprehensive review. Conscious Cogn 2021; 96:103228. [PMID: 34715456 DOI: 10.1016/j.concog.2021.103228] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 10/08/2021] [Accepted: 10/19/2021] [Indexed: 11/20/2022]
Abstract
Sense of agency refers to the experience that one's self-generated action causes an event in the external environment. Here, we review the behavioural and brain evidence of aberrant experiences of agency in movement disorders, clinical conditions characterized by either a paucity or an excess of movements unrelated to the patient's intention. We show that specific abnormal agency experiences characterize several movement disorders. Those manifestations are typically associated with structural and functional brain abnormalities. However, the evidence is sometimes conflicting, especially when considering results obtained through different agency measures. The present review aims to create order in the existing literature on sense of agency investigations in movement disorders and to provide a coherent overview framed within current neurocognitive models of motor awareness.
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20
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Yang R, He L, Zhang Z, Zhou W, Liu J. The Higher Parietal Cortical Thickness in Abstinent Methamphetamine Patients Is Correlated With Functional Connectivity and Age of First Usage. Front Hum Neurosci 2021; 15:705863. [PMID: 34526885 PMCID: PMC8435861 DOI: 10.3389/fnhum.2021.705863] [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: 05/06/2021] [Accepted: 08/09/2021] [Indexed: 01/11/2023] Open
Abstract
Aim This study aimed to explore the changes of cortical thickness in abstinent methamphetamine (MA) patients compared with healthy controls. Materials and Methods Three-tesla structural and functional magnetic resonance imaging (MRI) was obtained from 38 abstinent methamphetamine-dependent (AMD) patients and 32 demographically equivalent healthy controls. The cortical thickness was assessed using FreeSurfer software. General linear model was used to get brain regions with significant different cortical thickness between groups (p < 0.05, Monte Carlo simulation corrected). The mean cortical thickness value and functional connectivity with all other brain regions was extracted from those significant regions. Moreover, correlation coefficients were calculated in the AMD group to assess the relations between the mean cortical thickness, functional connectivity and age when they first took MA and the duration of both MA use and abstinence. Results The AMD group showed significant cortical thickness increase in one cluster located in the parietal cortex, including right posterior central gyrus, supramarginal gyrus, and superior parietal lobule. In addition, cortical thickness values of those regions were all significant and negatively correlated with the age when patients first used MA. The cortical thickness of right posterior gyrus were positively correlated with its functional connectivities with left middle frontal gyrus and both left and right medial orbitofrontal gyrus. Conclusion The higher cortical thickness in the parietal cortex of the AMD group is in agreement with findings in related studies of increased glucose metabolism and gray matter volume. Importantly, the negative correlation between parietal cortical thickness and age of first MA suggested that adolescent brains are more vulnerable to MA’s neurotoxic effect.
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Affiliation(s)
- Ru Yang
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Lei He
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China.,Department of Radiology, The First People's Hospital of Yueyang, Yueyang, China
| | - Zhixue Zhang
- Department of Radiology, The First Hospital of Hunan University of Chinese Medicine, Changsha, China
| | - Wenming Zhou
- Department of Radiology, The First People's Hospital of Yueyang, Yueyang, China
| | - Jun Liu
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China
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21
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Kustov GV, Zinchuk MS, Rider FK, Pashnin EV, Voinova NI, Avedisova AS, Guekht AB. [Psychogenic non-epileptic seizures]. Zh Nevrol Psikhiatr Im S S Korsakova 2021; 121:112-118. [PMID: 34481446 DOI: 10.17116/jnevro2021121081112] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
The review provides epidemiological data and discuss the associated burden of non-epileptic seizures (PNES). Data on the prevalence, socio-demographic and clinical risk factors for the development of PNES are presented. The hypotheses of the PNES origin, including the contribution of psychological trauma, are considered. We also describe contemporary methods for differential diagnosis of epileptic seizures and PNES, including biomarkers and the use of diagnostic questionnaires. Special attention is given to the issues of the psychiatric comorbidity of PNES.
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Affiliation(s)
- G V Kustov
- Research and Clinical Center for Neuropsychiatry, Moscow, Russia
| | - M S Zinchuk
- Research and Clinical Center for Neuropsychiatry, Moscow, Russia
| | - F K Rider
- Research and Clinical Center for Neuropsychiatry, Moscow, Russia
| | - E V Pashnin
- Research and Clinical Center for Neuropsychiatry, Moscow, Russia
| | - N I Voinova
- Research and Clinical Center for Neuropsychiatry, Moscow, Russia
| | - A S Avedisova
- Research and Clinical Center for Neuropsychiatry, Moscow, Russia.,Federal Medical Research Centre for Psychiatry and Narcology, Moscow, Russia
| | - A B Guekht
- Research and Clinical Center for Neuropsychiatry, Moscow, Russia.,Pirogov Russian National Research Medical University, Moscow, Russia
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22
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Feinstein A, Voon V. Understanding conversion disorder: How contemporary brain imaging is shedding light on an early Freudian concept. J Psychiatr Res 2021; 141:353-357. [PMID: 34304040 DOI: 10.1016/j.jpsychires.2021.07.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 06/30/2021] [Accepted: 07/12/2021] [Indexed: 10/20/2022]
Abstract
Conversion disorder, also called Functional Neurological Symptom Disorder is poorly understood by many in the medical profession and is associated with considerable health care costs. Sigmund Freud, in an early, pre-psychoanalytic period paper, suggested that hysterical motor paralyses arose from a "functional or dynamic lesion" which was no different from an organic one, but rather an altered expression of it. He linked this functional brain disturbance to an excess of affect, a faulty conceptualization on the part of the symptomatic individual of how the affected organ works, and elements of dissociation and dual consciousness. One hundred and thirty years later converging functional imaging studies provide support for the excess affect component of his hypothesis. A small but growing fMRI literature has revealed bottom-up hyperactive neural activity in limbic regions and a potential failure of top-down regulation from prefrontal regions. Aberrant functional connectivity of limbic-motor regions now provides a mechanistic model that sheds light on an early Freudian theory explaining, in part, how symptoms of Conversion Disorder arise.
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Affiliation(s)
- Anthony Feinstein
- Department of Psychiatry, University of Toronto and Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, Ontario, M4N 3M5, Canada.
| | - Valerie Voon
- University of Cambridge. Addenbrookes Hospital, Level E4, Box 189, Cambridge, CB20QQ, United Kingdom.
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Labate A, Martino I, Caligiuri ME, Fortunato F, Bruni A, Segura-Garcia C, Arcuri P, De Fazio P, Cerasa A, Gambardella A. Orbito-frontal thinning together with a somatoform dissociation might be the fingerprint of PNES. Epilepsy Behav 2021; 121:108044. [PMID: 34051606 DOI: 10.1016/j.yebeh.2021.108044] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 04/21/2021] [Accepted: 04/30/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVE To investigate neuroanatomical changes in patients with psychogenic nonepileptic seizures (PNES) compared to major depressive disorder (MDD) and healthy controls. METHODS Forty-two drug-naïve PNES subjects and 25 patients with MDD, matched for demographic characteristics and level of depression (as measured by Beck Depression Inventory-II, BDI-II), were consecutively recruited. Patients performed an extensive neuropsychiatric assessment including: Hamilton Anxiety Rating Scale, Traumatic Experience Checklist, Dissociative Experiences Scale, Toronto Alexithymia Scale and Somatoform Dissociation Questionnaire (SDQ-20). All patients, together with 78 healthy matched controls, underwent 3T brain MRI followed by surface-based morphometry. RESULTS Cortical thickness analysis revealed significant cortical thinning in bilateral medial orbitofrontal cortex (OFC) and left rostral anterior cingulate cortex (ACC) in patients with MDD compared to subjects with PNES and controls. Interestingly, increased thickness of the right pars triangularis was found in PNES subjects compared to controls. PNES showed higher scores in SDQ-20 (p < 0.001) compared to MDD, which was corroborated by neuroimaging data, where somatoform dissociation scores correlated with morphological changes in the left medial OFC. CONCLUSION Our results show selective cortical thinning over the medial OFC in patients with PNES compared to wider regions of thinning in patients with MDD. Somatoform dissociation was the only psychopathological assessment significantly different in PNES and MDD.
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Affiliation(s)
- Angelo Labate
- Institute of Neurology, Department of Medical and Surgical Sciences, Magna Graecia University of Catanzaro, Italy.
| | - Iolanda Martino
- Institute of Neurology, Department of Medical and Surgical Sciences, Magna Graecia University of Catanzaro, Italy
| | - Maria Eugenia Caligiuri
- Neuroscience Research Center, Department of Medical and Surgical Sciences, Magna Graecia University of Catanzaro, Italy
| | - Francesco Fortunato
- Institute of Neurology, Department of Medical and Surgical Sciences, Magna Graecia University of Catanzaro, Italy
| | - Antonella Bruni
- Institute of Psychiatry, Department of Medical and Surgical Sciences, Magna Graecia University of Catanzaro, Italy
| | - Cristina Segura-Garcia
- Institute of Psychiatry, Department of Medical and Surgical Sciences, Magna Graecia University of Catanzaro, Italy
| | - Pierpaolo Arcuri
- Neuroscience Research Center, Department of Medical and Surgical Sciences, Magna Graecia University of Catanzaro, Italy
| | - Pasquale De Fazio
- Institute of Psychiatry, Department of Medical and Surgical Sciences, Magna Graecia University of Catanzaro, Italy
| | - Antonio Cerasa
- IRIB, National Research Council, Mangone, CS, Italy; S. Anna Institute and Research in Advanced Neurorehabilitation (RAN) Crotone, Crotone, Italy
| | - Antonio Gambardella
- Institute of Neurology, Department of Medical and Surgical Sciences, Magna Graecia University of Catanzaro, Italy; Neuroscience Research Center, Department of Medical and Surgical Sciences, Magna Graecia University of Catanzaro, Italy; Neuroimaging Research Unit, Institute of Molecular Bioimaging and Physiology, National Research Council, Catanzaro, Italy
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Jeong H, Lee YJ, Kim N, Jeon S, Jun JY, Yoo SY, Lee SH, Lee J, Kim SJ. Increased medial prefrontal cortical thickness and resilience to traumatic experiences in North Korean refugees. Sci Rep 2021; 11:14910. [PMID: 34290327 PMCID: PMC8295347 DOI: 10.1038/s41598-021-94452-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 07/12/2021] [Indexed: 11/09/2022] Open
Abstract
Little is known regarding structural brain changes in traumatized refugees and the association with psychopathology. In the present study, the cortical thickness in North Korean refugees and the association with psychological symptoms were explored. North Korean refugees with lifetime post-traumatic stress disorder (PTSD group, n = 27), trauma-exposed North Korean refugees without lifetime PTSD (trauma-exposed control (TEC) group, n = 23), and healthy South Korean controls without traumatic experiences (HC group, n = 51) completed questionnaires assessing depression, anxiety, somatization, and PTSD symptoms. The cortical thickness was measured by magnetic resonance imaging (MRI) using FreeSurfer. Age- and sex-adjusted cortical thickness of the right medial prefrontal cortex (mPFC) was greater in the TEC group than in the HC group. However, significant differences were not observed between the PTSD and HC groups. Increased right mPFC thickness was significantly correlated with less anxiety and somatization after controlling for age and sex in the TEC group, but not in the PTSD or HC groups. North Korean refugees who did not develop PTSD after trauma showed increased right mPFC thickness, which was associated with less severe psychiatric symptoms. These findings indicate that increased mPFC thickness might have helped to reduce PTSD and psychiatric symptoms after trauma, and likely reflects resilience achieved by potentially enhancing emotional regulation in the mPFC.
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Affiliation(s)
- Hyunwoo Jeong
- Geumsan-Gun Public Health Center, Geumsan, Republic of Korea
| | - Yu Jin Lee
- Department of Psychiatry and Center for Sleep and Chronobiology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Nambeom Kim
- Neuroscience Research Institute, Gachon University, Incheon, Republic of Korea
| | - Sehyun Jeon
- Department of Psychiatry, Korea University College of Medicine, Korea University Anam Hospital, Seoul, Republic of Korea
| | - Jin Yong Jun
- Department of Psychiatry, Seoul National Hospital, Seoul, Republic of Korea
| | - So Young Yoo
- Department of Psychiatry, National Medical Center, Seoul, Republic of Korea
| | - So Hee Lee
- Department of Psychiatry, National Medical Center, Seoul, Republic of Korea
| | - Jooyoung Lee
- Department of Psychiatry, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea
| | - Seog Ju Kim
- Department of Psychiatry, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea.
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Somatoform Dissociative Symptoms Have No Impact on the Outcome of Trauma-Focused Treatment for Severe PTSD. J Clin Med 2021; 10:jcm10081553. [PMID: 33917166 PMCID: PMC8067818 DOI: 10.3390/jcm10081553] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 04/01/2021] [Accepted: 04/05/2021] [Indexed: 12/29/2022] Open
Abstract
For patients with complex or other severe forms of PTSD, particularly in cases with dissociative symptoms, different treatment approaches have been suggested. However, the influence of somatoform dissociation on the effectiveness of trauma-focused treatment has hardly ever been studied. This study aims to test the hypotheses that (1) PTSD patients reporting a low level and those reporting a high level of somatoform dissociative symptoms would both benefit from an intensive trauma-focused treatment, and that (2) somatoform dissociative symptoms would alleviate. Participants were 220 patients with severe PTSD, enrolled in an intensive treatment program combining EMDR therapy and prolonged exposure therapy, without a preceding stabilization phase. Trauma history was diversified, and comorbidity was high. PTSD symptoms (CAPS-5 and PCL-5) and somatoform dissociative symptoms (SDQ-5 and SDQ-20) were assessed at pre-treatment, post-treatment and at six months after completion of treatment. The course of both PTSD and somatoform dissociative symptoms was compared for individuals reporting low and for those reporting high levels of somatoform dissociative symptoms. Large effect sizes were observed regarding PTSD symptoms reduction for patients with both low and high levels of somatoform dissociation. Somatoform dissociation did not impact improvement in terms of PTSD symptom reduction. The severity of somatoform dissociative symptoms decreased significantly in both groups. This decrease was greater for those with a positive screen for a dissociative disorder. These results add further support to the notion that the presence of strong somatoform dissociative symptoms in patients with PTSD does not necessarily call for a different treatment approach. Clinical implications are discussed.
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26
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Sojka P, Paredes-Echeverri S, Perez DL. Are Functional (Psychogenic Nonepileptic) Seizures the Sole Expression of Psychological Processes? Curr Top Behav Neurosci 2021; 55:329-351. [PMID: 33768494 DOI: 10.1007/7854_2021_225] [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] [Indexed: 03/17/2023]
Abstract
Functional [psychogenic nonepileptic/dissociative] seizures (FND-seiz) and related functional neurological disorder subtypes were of immense interest to early founders of modern-day neurology and psychiatry. Unfortunately, the divide that occurred between the both specialties throughout the mid-twentieth century placed FND-seiz at the borderland between the two disciplines. In the process, a false Cartesian dualism emerged that labeled psychiatric conditions as impairments of the mind and neurological conditions as disturbances in structural neuroanatomy. Excitingly, modern-day neuropsychiatric perspectives now consider neurologic and psychiatric conditions as disorders of both brain and mind. In this article, we aim to integrate neurologic and psychiatric perspectives in the conceptual framing of FND-seiz. In doing so, we explore emerging relationships between symptoms, neuropsychological constructs, brain networks, and neuroendocrine/autonomic biomarkers of disease. Evidence suggests that the neuropsychological constructs of emotion processing, attention, interoception, and self-agency are important in the pathophysiology of FND-seiz. Furthermore, FND-seiz is a multi-network brain disorder, with evidence supporting roles for disturbances within and across the salience, limbic, attentional, multimodal integration, and sensorimotor networks. Risk factors, including the magnitude of previously experienced adverse life events, relate to individual differences in network architecture and neuroendocrine profiles. The time has come to use an integrated neuropsychiatric approach that embraces the closely intertwined relationship between physical health and mental health to conceptualize FND-seiz and related functional neurological disorder subtypes.
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Affiliation(s)
- Petr Sojka
- Department of Psychiatry, University Hospital Brno, Brno, Czech Republic.
| | - Sara Paredes-Echeverri
- Functional Neurological Disorder Research Program, Cognitive Behavioral Neurology Divisions, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - David L Perez
- Functional Neurological Disorder Research Program, Cognitive Behavioral Neurology and Neuropsychiatry Divisions, Departments of Neurology and Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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27
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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: 10] [Impact Index Per Article: 3.3] [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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28
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Perez DL, Nicholson TR, Asadi-Pooya AA, Bègue I, Butler M, Carson AJ, David AS, Deeley Q, Diez I, Edwards MJ, Espay AJ, Gelauff JM, Hallett M, Horovitz SG, Jungilligens J, Kanaan RAA, Tijssen MAJ, Kozlowska K, LaFaver K, LaFrance WC, Lidstone SC, Marapin RS, Maurer CW, Modirrousta M, Reinders AATS, Sojka P, Staab JP, Stone J, Szaflarski JP, Aybek S. Neuroimaging in Functional Neurological Disorder: State of the Field and Research Agenda. Neuroimage Clin 2021; 30:102623. [PMID: 34215138 PMCID: PMC8111317 DOI: 10.1016/j.nicl.2021.102623] [Citation(s) in RCA: 81] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 03/03/2021] [Indexed: 02/06/2023]
Abstract
Functional neurological disorder (FND) was of great interest to early clinical neuroscience leaders. During the 20th century, neurology and psychiatry grew apart - leaving FND a borderland condition. Fortunately, a renaissance has occurred in the last two decades, fostered by increased recognition that FND is prevalent and diagnosed using "rule-in" examination signs. The parallel use of scientific tools to bridge brain structure - function relationships has helped refine an integrated biopsychosocial framework through which to conceptualize FND. In particular, a growing number of quality neuroimaging studies using a variety of methodologies have shed light on the emerging pathophysiology of FND. This renewed scientific interest has occurred in parallel with enhanced interdisciplinary collaborations, as illustrated by new care models combining psychological and physical therapies and the creation of a new multidisciplinary FND society supporting knowledge dissemination in the field. Within this context, this article summarizes the output of the first International FND Neuroimaging Workgroup meeting, held virtually, on June 17th, 2020 to appraise the state of neuroimaging research in the field and to catalyze large-scale collaborations. We first briefly summarize neural circuit models of FND, and then detail the research approaches used to date in FND within core content areas: cohort characterization; control group considerations; task-based functional neuroimaging; resting-state networks; structural neuroimaging; biomarkers of symptom severity and risk of illness; and predictors of treatment response and prognosis. Lastly, we outline a neuroimaging-focused research agenda to elucidate the pathophysiology of FND and aid the development of novel biologically and psychologically-informed treatments.
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Affiliation(s)
- David L Perez
- Departments of Neurology and Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
| | - Timothy R Nicholson
- Section of Cognitive Neuropsychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Ali A Asadi-Pooya
- Epilepsy Research Center, Shiraz University of Medical Sciences, Shiraz Iran; Department of Neurology, Jefferson Comprehensive Epilepsy Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Indrit Bègue
- Division of Adult Psychiatry, Department of Psychiatry, University of Geneva, Geneva Switzerland; Service of Neurology Department of Clinical Neuroscience, University of Geneva, Geneva, Switzerland
| | - Matthew Butler
- Section of Cognitive Neuropsychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Alan J Carson
- Centre for Clinical Brain Sciences, The University of Edinburgh, EH16 4SB, UK
| | - Anthony S David
- Institute of Mental Health, University College London, London, UK
| | - Quinton Deeley
- South London and Maudsley NHS Foundation Trust, London UK Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
| | - Ibai Diez
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Mark J Edwards
- Neurosciences Research Centre, St George's University of London, London, UK
| | - Alberto J Espay
- James J. and Joan A. Gardner Center for Parkinson's Disease and Movement Disorders, Department of Neurology, University of Cincinnati, Cincinnati, OH, USA
| | - Jeannette M Gelauff
- Department of Neurology, Amsterdam UMC, Vrije Universiteit Amsterdam, de Boelelaan 1117, Amsterdam, Netherlands
| | - Mark Hallett
- Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Silvina G Horovitz
- Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Johannes Jungilligens
- Department of Neurology, University Hospital Knappschaftskrankenhaus Bochum, Ruhr University Bochum, Germany
| | - Richard A A Kanaan
- Department of Psychiatry, University of Melbourne, Austin Health Heidelberg, Australia
| | - Marina A J Tijssen
- Expertise Center Movement Disorders Groningen, University Medical Center Groningen, Groningen, University of Groningen, The Netherlands
| | - Kasia Kozlowska
- The Children's Hospital at Westmead, Westmead Institute of Medical Research, University of Sydney Medical School, Sydney, NSW, Australia
| | - Kathrin LaFaver
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - W Curt LaFrance
- Departments of Psychiatry and Neurology, Rhode Island Hospital, Brown University, Providence, RI, USA
| | - Sarah C Lidstone
- Edmond J. Safra Program in Parkinson's Disease and the Morton and Gloria Shulman Movement Disorders Clinic, University Health Network and the University of Toronto, Toronto, Ontario, Canada
| | - Ramesh S Marapin
- Expertise Center Movement Disorders Groningen, University Medical Center Groningen, Groningen, University of Groningen, The Netherlands
| | - Carine W Maurer
- Department of Neurology, Stony Brook University Renaissance School of Medicine, Stony Brook, NY, USA
| | - Mandana Modirrousta
- Department of Psychiatry, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3T 2N2, Canada
| | - Antje A T S Reinders
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Petr Sojka
- Department of Psychiatry, University Hospital Brno, Czech Republic
| | - Jeffrey P Staab
- Departments of Psychiatry and Psychology and Otorhinolaryngology-Head and Neck Surgery, Mayo Clinic Rochester, MN, USA
| | - Jon Stone
- Centre for Clinical Brain Sciences, The University of Edinburgh, EH16 4SB, UK
| | - Jerzy P Szaflarski
- University of Alabama at Birmingham Epilepsy Center, Department of Neurology, University of Alabama at Birmingham Birmingham, AL, USA
| | - Selma Aybek
- Neurology Department, Psychosomatic Medicine Unit, Bern University Hospital Inselspital, University of Bern, Bern, Switzerland
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Diez I, Williams B, Kubicki MR, Makris N, Perez DL. Reduced limbic microstructural integrity in functional neurological disorder. Psychol Med 2021; 51:485-493. [PMID: 31769368 PMCID: PMC7247956 DOI: 10.1017/s0033291719003386] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
BACKGROUND Functional neurological disorder (FND) is a condition at the intersection of neurology and psychiatry. Individuals with FND exhibit corticolimbic abnormalities, yet little is known about the role of white matter tracts in the pathophysiology of FND. This study characterized between-group differences in microstructural integrity, and correlated fiber bundle integrity with symptom severity, physical disability, and illness duration. METHODS A diffusion tensor imaging (DTI) study was performed in 32 patients with mixed FND compared to 36 healthy controls. Diffusion-weighted magnetic resonance images were collected along with patient-reported symptom severity, physical disability (Short Form Health Survey-36), and illness duration data. Weighted-degree and link-level graph theory and probabilistic tractography analyses characterized fractional anisotropy (FA) values across cortico-subcortical connections. Results were corrected for multiple comparisons. RESULTS Compared to controls, FND patients showed reduced FA in the stria terminalis/fornix, medial forebrain bundle, extreme capsule, uncinate fasciculus, cingulum bundle, corpus callosum, and striatal-postcentral gyrus projections. Except for the stria terminalis/fornix, these differences remained significant adjusting for depression and anxiety. In within-group analyses, physical disability inversely correlated with stria terminalis/fornix and medial forebrain bundle FA values; illness duration negatively correlated with stria terminalis/fornix white matter integrity. A FND symptom severity composite score did not correlate with FA in patients. CONCLUSIONS In this first DTI study of mixed FND, microstructural differences were observed in limbic and associative tracts implicated in salience, defensive behaviors, and emotion regulation. These findings advance our understanding of neurocircuit pathways in the pathophysiology of FND.
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Affiliation(s)
- Ibai Diez
- Department of Neurology, Functional Neurology Research Group, Behavioral Neurology Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
- Gordon Center, Department of Nuclear Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Neurotechnology Laboratory, Tecnalia Health Department, Derio, Spain
| | - Benjamin Williams
- Department of Neurology, Functional Neurology Research Group, Behavioral Neurology Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Marek R. Kubicki
- Department of Psychiatry, Center for Morphometric Analysis, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Nikos Makris
- Department of Psychiatry, Center for Morphometric Analysis, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - David L. Perez
- Department of Neurology, Functional Neurology Research Group, Behavioral Neurology Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
- Department of Psychiatry, Neuropsychiatry Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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30
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Rossetti MG, Delvecchio G, Calati R, Perlini C, Bellani M, Brambilla P. Structural neuroimaging of somatoform disorders: A systematic review. Neurosci Biobehav Rev 2020; 122:66-78. [PMID: 33359097 DOI: 10.1016/j.neubiorev.2020.12.017] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 11/25/2020] [Accepted: 12/16/2020] [Indexed: 10/22/2022]
Abstract
Although there has been an increment in neuroimaging research in somatoform disorders (SD), to date little is known about the neural correlates of these diseases. Therefore, in this systematic, review we aimed at summarizing the existing evidence of structural brain alterations in SD as per DSM-IV and DSM-5 criteria. Three electronic databases (Scopus, PubMed and Web of Science) were searched. Only case-control studies using structural neuroimaging were included. Forty-five out of 369 articles fulfilled inclusion criteria and were reviewed. Compared to controls, subjects with SD showed morphological alterations encompassing motor, limbic and somatosensory circuits. Although far from being conclusive, the results suggested that SD are characterized by selective alterations of large-scale brain networks implicated in cognitive control, emotion regulation and processing, stress and somatic-visceral perception. This review highlights the need for further multimodal neuroimaging studies with longitudinal designs, in larger and better-characterized samples, to elucidate the temporal and causal relationship between neuroanatomical changes and SD, which is paramount for informing tailored treatments.
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Affiliation(s)
- Maria Gloria Rossetti
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Italy; Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Giuseppe Delvecchio
- University of Milan, Department of Pathophysiology and Transplantation, Milan, Italy
| | - Raffaella Calati
- Department of Psychology, University of Milano-Bicocca, Milan, Italy; Department of Adult Psychiatry, Nîmes University Hospital, Nîmes, France
| | - Cinzia Perlini
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Clinical Psychology, University of Verona, Verona, Italy; USD Clinical Psychology, Azienda Ospedaliera Universitaria Integrata (AOUI) of Verona, Verona, Italy
| | - Marcella Bellani
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Italy; UOC Psychiatry, Azienda Ospedaliera Universitaria Integrata (AOUI) of Verona, Verona, Italy
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; University of Milan, Department of Pathophysiology and Transplantation, Milan, Italy.
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31
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Sojka P, Diez I, Bareš M, Perez DL. Individual differences in interoceptive accuracy and prediction error in motor functional neurological disorders: A DTI study. Hum Brain Mapp 2020; 42:1434-1445. [PMID: 33615622 PMCID: PMC7927304 DOI: 10.1002/hbm.25304] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 11/12/2020] [Accepted: 11/22/2020] [Indexed: 12/16/2022] Open
Abstract
In motor functional neurological disorders (mFND), relationships between interoception (a construct of high theoretical relevance to its pathophysiology) and neuroanatomy have not been previously investigated. This study characterized white matter in mFND patients compared to healthy controls (HCs), and investigated associations between fiber bundle integrity and cardiac interoception. Voxel‐based analysis and tractography quantified fractional anisotropy (FA) in 38 mFND patients compared to 38 HCs. Secondary analyses compared functional seizures (FND‐seiz; n = 21) or functional movement disorders (n = 17) to HCs. Network lesion mapping identified gray matter origins of implicated fiber bundles. Within‐group mFND analyses investigated relationships between FA, heartbeat tracking accuracy and interoceptive trait prediction error (discrepancies between interoceptive accuracy and self‐reported bodily awareness). Results were corrected for multiple comparisons, and all findings were adjusted for depression and trait anxiety. mFND and HCs did not show any between‐group interoceptive accuracy or FA differences. However, the FND‐seiz subgroup compared to HCs showed decreased integrity in right‐lateralized tracts: extreme capsule/inferior fronto‐occipital fasciculus, arcuate fasciculus, inferior longitudinal fasciculus, and thalamic/striatum to occipital cortex projections. These alterations originated predominantly from the right temporoparietal junction and inferior temporal gyrus. In mFND patients, individual differences in interoceptive accuracy and interoceptive trait prediction error correlated with fiber bundle integrity originating from the insula, temporoparietal junction, putamen and thalamus among other regions. In this first study investigating brain‐interoception relationships in mFND, individual differences in interoceptive accuracy and trait prediction error mapped onto multimodal integration‐related fiber bundles. Right‐lateralized limbic and associative tract disruptions distinguished FND‐seiz from HCs.
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Affiliation(s)
- Petr Sojka
- Department of Psychiatry, Faculty of Medicine, Masaryk University Brno and University Hospital, Brno, Brno, Czech Republic.,Department of Psychology and Psychosomatics, Faculty of Medicine, Masaryk University and University Hospital Brno, Brno, Czech Republic
| | - Ibai Diez
- Department of Neurology, Functional Neurological Disorder Research Program, Behavioral Neurology Unit, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts, USA.,Gordon Center, Department of Nuclear Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Martin Bareš
- First Department of Neurology, Faculty of Medicine, Masaryk University and St. Anne's University Hospital, Brno, Czech Republic.,Department of Neurology, School of Medicine, University of Minnesota, Minneapolis, Minnesota, USA
| | - David L Perez
- Department of Neurology, Functional Neurological Disorder Research Program, Behavioral Neurology Unit, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts, USA.,Department of Psychiatry, Neuropsychiatry Unit, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
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Roydeva MI, Reinders AATS. Biomarkers of Pathological Dissociation: A Systematic Review. Neurosci Biobehav Rev 2020; 123:120-202. [PMID: 33271160 DOI: 10.1016/j.neubiorev.2020.11.019] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [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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Balachandran N, Goodman AM, Allendorfer JB, Martin AN, Tocco K, Vogel V, LaFrance WC, Szaflarski JP. Relationship between neural responses to stress and mental health symptoms in psychogenic nonepileptic seizures after traumatic brain injury. Epilepsia 2020; 62:107-119. [PMID: 33238045 DOI: 10.1111/epi.16758] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 10/20/2020] [Accepted: 10/20/2020] [Indexed: 12/19/2022]
Abstract
OBJECTIVE To utilize traumatic brain injury (TBI) as a model for investigating functioning during acute stress experiences in psychogenic nonepileptic seizures (PNES) and to identify neural mechanisms underlying the link between changes in processing of stressful experiences and mental health symptoms in PNES. METHODS We recruited 94 participants: 50 with TBI only (TBI-only) and 44 with TBI and PNES (TBI + PNES). Participants completed mood (Beck Depression Inventory-II), anxiety (Beck Anxiety Inventory), and posttraumatic stress disorder (PTSD) symptom (PTSD Checklist-Specific Event) assessments before undergoing functional magnetic resonance imaging during an acute psychosocial stress task. Linear mixed-effects analyses identified clusters of significant interactions between group and neural responses to stressful math performance and stressful auditory feedback conditions within limbic brain regions (volume-corrected α = .05). Spearman rank correlation tests compared mean cluster signals to symptom assessments (false discovery rate-corrected α = .05). RESULTS Demographic and TBI-related measures were similar between groups; TBI + PNES demonstrated worse clinical symptom severity compared to TBI-only. Stressful math performance induced relatively greater reactivity within dorsomedial prefrontal cortex (PFC) and right hippocampal regions and relatively reduced reactivity within left hippocampal and dorsolateral PFC regions for TBI + PNES compared to TBI-only. Stressful auditory feedback induced relatively reduced reactivity within ventral PFC, cingulate, hippocampal, and amygdala regions for TBI + PNES compared to TBI-only. Changes in responses to stressful math within hippocampal and dorsal PFC regions were correlated with increased mood, anxiety, and PTSD symptom severity. SIGNIFICANCE Corticolimbic functions underlying processing of stressful experiences differ between patients with TBI + PNES and those with TBI-only. Relationships between these neural responses and symptom assessments suggest potential pathophysiologic mechanisms in PNES.
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Affiliation(s)
- Neha Balachandran
- Department of Neurology, UAB Epilepsy Center, University of Alabama at Birmingham, Birmingham, AL, USA.,Departments of Neurobiology and Psychology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Adam M Goodman
- Department of Neurology, UAB Epilepsy Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Jane B Allendorfer
- Department of Neurology, UAB Epilepsy Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Amber N Martin
- Department of Neurology, UAB Epilepsy Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Krista Tocco
- Providence Veterans Administration Medical Center, Rhode Island Hospital, Brown University, Providence, RI, USA
| | - Valerie Vogel
- Providence Veterans Administration Medical Center, Rhode Island Hospital, Brown University, Providence, RI, USA
| | - W Curt LaFrance
- Providence Veterans Administration Medical Center, Rhode Island Hospital, Brown University, Providence, RI, USA
| | - Jerzy P Szaflarski
- Department of Neurology, UAB Epilepsy Center, University of Alabama at Birmingham, Birmingham, AL, USA
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Hoeritzauer I, Carson A, Statham P, Panicker JN, Granitsiotis V, Eugenicos M, Summers D, Demetriades AK, Stone J. Scan-Negative Cauda Equina Syndrome: A Prospective Cohort Study. Neurology 2020; 96:e433-e447. [PMID: 33177221 DOI: 10.1212/wnl.0000000000011154] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Accepted: 09/04/2020] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To describe clinical features relevant to diagnosis, mechanism, and etiology in patients with "scan-negative" cauda equina syndrome (CES). METHODS We carried out a prospective study of consecutive patients presenting with the clinical features of CES to a regional neurosurgery center comprising semi-structured interview and questionnaires investigating presenting symptoms, neurologic examination, psychiatric and functional disorder comorbidity, bladder/bowel/sexual function, distress, and disability. RESULTS A total of 198 patients presented consecutively over 28 months. A total of 47 were diagnosed with scan-positive CES (mean age 48 years, 43% female). A total of 76 mixed category patients had nerve root compression/displacement without CES compression (mean age 46 years, 71% female) and 61 patients had scan-negative CES (mean age 40 years, 77% female). An alternative neurologic cause of CES emerged in 14/198 patients during admission and 4/151 patients with mean duration 25 months follow-up. Patients with scan-negative CES had more positive clinical signs of a functional neurologic disorder (11% scan-positive CES vs 34% mixed and 68% scan-negative, p < 0.0001), were more likely to describe their current back pain as worst ever (41% vs 46% and 70%, p = 0.005), and were more likely to have symptoms of a panic attack at onset (37% vs 57% and 70%, p = 0.001). Patients with scan-positive CES were more likely to have reduced/absent bilateral ankle jerks (78% vs 30% and 12%, p < 0.0001). There was no significant difference between groups in the frequency of reduced anal tone and urinary retention. CONCLUSION The first well-phenotyped, prospective study of scan-negative CES supports a model in which acute pain, medication, and mechanisms overlapping with functional neurologic disorders may be relevant.
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Affiliation(s)
- Ingrid Hoeritzauer
- From the Centre for Clinical Brain Sciences (I.H., A.C., A.K.D., J.S.), University of EdinburghDepartments of Clinical Neurosciences (I.H., A.C., P.S., A.K.D., J.S.), Neurosurgery (P.S., A.K.D.), Urology (V.G.), Gastroenterology (M.E.), and Neuroradiology (D.S.), Western General HospitalDepartment of Rehabilitation Medicine (A.C.), NHS Lothian, EdinburghDepartment of Uro-Neurology (J.N.P.), The National Hospital of Neurology and Neurosurgery and UCL Queen Square Institute of Neurology, LondonEdinburgh Spinal Surgery Outcomes Study Group (I.H., P.S., A.K.D.), UK.
| | - Alan Carson
- From the Centre for Clinical Brain Sciences (I.H., A.C., A.K.D., J.S.), University of EdinburghDepartments of Clinical Neurosciences (I.H., A.C., P.S., A.K.D., J.S.), Neurosurgery (P.S., A.K.D.), Urology (V.G.), Gastroenterology (M.E.), and Neuroradiology (D.S.), Western General HospitalDepartment of Rehabilitation Medicine (A.C.), NHS Lothian, EdinburghDepartment of Uro-Neurology (J.N.P.), The National Hospital of Neurology and Neurosurgery and UCL Queen Square Institute of Neurology, LondonEdinburgh Spinal Surgery Outcomes Study Group (I.H., P.S., A.K.D.), UK
| | - Patrick Statham
- From the Centre for Clinical Brain Sciences (I.H., A.C., A.K.D., J.S.), University of EdinburghDepartments of Clinical Neurosciences (I.H., A.C., P.S., A.K.D., J.S.), Neurosurgery (P.S., A.K.D.), Urology (V.G.), Gastroenterology (M.E.), and Neuroradiology (D.S.), Western General HospitalDepartment of Rehabilitation Medicine (A.C.), NHS Lothian, EdinburghDepartment of Uro-Neurology (J.N.P.), The National Hospital of Neurology and Neurosurgery and UCL Queen Square Institute of Neurology, LondonEdinburgh Spinal Surgery Outcomes Study Group (I.H., P.S., A.K.D.), UK
| | - Jalesh N Panicker
- From the Centre for Clinical Brain Sciences (I.H., A.C., A.K.D., J.S.), University of EdinburghDepartments of Clinical Neurosciences (I.H., A.C., P.S., A.K.D., J.S.), Neurosurgery (P.S., A.K.D.), Urology (V.G.), Gastroenterology (M.E.), and Neuroradiology (D.S.), Western General HospitalDepartment of Rehabilitation Medicine (A.C.), NHS Lothian, EdinburghDepartment of Uro-Neurology (J.N.P.), The National Hospital of Neurology and Neurosurgery and UCL Queen Square Institute of Neurology, LondonEdinburgh Spinal Surgery Outcomes Study Group (I.H., P.S., A.K.D.), UK
| | - Voula Granitsiotis
- From the Centre for Clinical Brain Sciences (I.H., A.C., A.K.D., J.S.), University of EdinburghDepartments of Clinical Neurosciences (I.H., A.C., P.S., A.K.D., J.S.), Neurosurgery (P.S., A.K.D.), Urology (V.G.), Gastroenterology (M.E.), and Neuroradiology (D.S.), Western General HospitalDepartment of Rehabilitation Medicine (A.C.), NHS Lothian, EdinburghDepartment of Uro-Neurology (J.N.P.), The National Hospital of Neurology and Neurosurgery and UCL Queen Square Institute of Neurology, LondonEdinburgh Spinal Surgery Outcomes Study Group (I.H., P.S., A.K.D.), UK
| | - Maria Eugenicos
- From the Centre for Clinical Brain Sciences (I.H., A.C., A.K.D., J.S.), University of EdinburghDepartments of Clinical Neurosciences (I.H., A.C., P.S., A.K.D., J.S.), Neurosurgery (P.S., A.K.D.), Urology (V.G.), Gastroenterology (M.E.), and Neuroradiology (D.S.), Western General HospitalDepartment of Rehabilitation Medicine (A.C.), NHS Lothian, EdinburghDepartment of Uro-Neurology (J.N.P.), The National Hospital of Neurology and Neurosurgery and UCL Queen Square Institute of Neurology, LondonEdinburgh Spinal Surgery Outcomes Study Group (I.H., P.S., A.K.D.), UK
| | - David Summers
- From the Centre for Clinical Brain Sciences (I.H., A.C., A.K.D., J.S.), University of EdinburghDepartments of Clinical Neurosciences (I.H., A.C., P.S., A.K.D., J.S.), Neurosurgery (P.S., A.K.D.), Urology (V.G.), Gastroenterology (M.E.), and Neuroradiology (D.S.), Western General HospitalDepartment of Rehabilitation Medicine (A.C.), NHS Lothian, EdinburghDepartment of Uro-Neurology (J.N.P.), The National Hospital of Neurology and Neurosurgery and UCL Queen Square Institute of Neurology, LondonEdinburgh Spinal Surgery Outcomes Study Group (I.H., P.S., A.K.D.), UK
| | - Andreas K Demetriades
- From the Centre for Clinical Brain Sciences (I.H., A.C., A.K.D., J.S.), University of EdinburghDepartments of Clinical Neurosciences (I.H., A.C., P.S., A.K.D., J.S.), Neurosurgery (P.S., A.K.D.), Urology (V.G.), Gastroenterology (M.E.), and Neuroradiology (D.S.), Western General HospitalDepartment of Rehabilitation Medicine (A.C.), NHS Lothian, EdinburghDepartment of Uro-Neurology (J.N.P.), The National Hospital of Neurology and Neurosurgery and UCL Queen Square Institute of Neurology, LondonEdinburgh Spinal Surgery Outcomes Study Group (I.H., P.S., A.K.D.), UK
| | - Jon Stone
- From the Centre for Clinical Brain Sciences (I.H., A.C., A.K.D., J.S.), University of EdinburghDepartments of Clinical Neurosciences (I.H., A.C., P.S., A.K.D., J.S.), Neurosurgery (P.S., A.K.D.), Urology (V.G.), Gastroenterology (M.E.), and Neuroradiology (D.S.), Western General HospitalDepartment of Rehabilitation Medicine (A.C.), NHS Lothian, EdinburghDepartment of Uro-Neurology (J.N.P.), The National Hospital of Neurology and Neurosurgery and UCL Queen Square Institute of Neurology, LondonEdinburgh Spinal Surgery Outcomes Study Group (I.H., P.S., A.K.D.), UK
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Goodman AM, Allendorfer JB, Blum AS, Bolding MS, Correia S, Ver Hoef LW, Gaston TE, Grayson LE, Kraguljac NV, Lahti AC, Martin AN, Monroe WS, Philip NS, Tocco K, Vogel V, LaFrance WC, Szaflarski JP. White matter and neurite morphology differ in psychogenic nonepileptic seizures. Ann Clin Transl Neurol 2020; 7:1973-1984. [PMID: 32991786 PMCID: PMC7545605 DOI: 10.1002/acn3.51198] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 08/10/2020] [Accepted: 08/24/2020] [Indexed: 12/25/2022] Open
Abstract
OBJECTIVE To further evaluate the relationship between the clinical profiles and limbic and motor brain regions and their connecting pathways in psychogenic nonepileptic seizures (PNES). Neurite Orientation Dispersion and Density Indices (NODDI) multicompartment modeling was used to test the relationships between tissue alterations in patients with traumatic brain injury (TBI) and multiple psychiatric symptoms. METHODS The sample included participants with prior TBI (TBI; N = 37) but no PNES, and with TBI and PNES (TBI + PNES; N = 34). Participants completed 3T Siemens Prisma MRI high angular resolution imaging diffusion protocol. Statistical maps, including fractional anisotropy (FA), mean diffusivity (MD), neurite dispersion [orientation dispersion index (ODI)] and density [intracellular volume fraction (ICVF), and free water (i.e., isotropic) volume fraction (V-ISO)] signal intensity, were generated for each participant. Linear mixed-effects models identified clusters of between-group differences in indices of white matter changes. Pearson's r correlation tests assessed any relationship between signal intensity and psychiatric symptoms. RESULTS Compared to TBI, TBI + PNES revealed decreases in FA, ICVF, and V-ISO and increases in MD for clusters within cingulum bundle, uncinate fasciculus, fornix/stria terminalis, and corticospinal tract pathways (cluster threshold α = 0.05). Indices of white matter changes for these clusters correlated with depressive, anxiety, PTSD, psychoticism, and somatization symptom severity (FDR threshold α = 0.05). A follow-up within-group analysis revealed that these correlations failed to reach the criteria for significance in the TBI + PNES group alone. INTERPRETATION The results expand support for the hypothesis that alterations in pathways comprising the specific PNES network correspond to patient profiles. These findings implicate myelin-specific changes as possible contributors to PNES, thus introducing novel potential treatment targets.
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Affiliation(s)
- Adam M. Goodman
- Department of Neurology and the UAB Epilepsy CenterUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Jane B. Allendorfer
- Department of Neurology and the UAB Epilepsy CenterUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Andrew S. Blum
- Department of NeurologyRhode Island HospitalProvidenceRhode IslandUSA
- Brown UniversityProvidenceRhode IslandUSA
| | - Mark S. Bolding
- Department of RadiologyUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Stephen Correia
- Brown UniversityProvidenceRhode IslandUSA
- Department of Psychiatry and Human BehaviorAlpert Medical SchoolBrown UniversityRhode Island HospitalProvidenceRhode IslandUSA
- Center for Neurorestoration and NeurotechnologyProvidence VA Medical CenterProvidenceRhode IslandUSA
| | - Lawrence W. Ver Hoef
- Department of Neurology and the UAB Epilepsy CenterUniversity of Alabama at BirminghamBirminghamAlabamaUSA
- Birmingham VA Medical CenterBirminghamAlabamaUSA
| | - Tyler E. Gaston
- Department of Neurology and the UAB Epilepsy CenterUniversity of Alabama at BirminghamBirminghamAlabamaUSA
- Birmingham VA Medical CenterBirminghamAlabamaUSA
| | - Leslie E. Grayson
- Department of Neurology and the UAB Epilepsy CenterUniversity of Alabama at BirminghamBirminghamAlabamaUSA
- Birmingham VA Medical CenterBirminghamAlabamaUSA
- Children’s of AlabamaUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Nina V. Kraguljac
- Department of Psychiatry and Behavioral NeurobiologyUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Adrienne C. Lahti
- Department of Psychiatry and Behavioral NeurobiologyUniversity of Alabama at BirminghamBirminghamAlabamaUSA
- Departments of Neurobiology and NeurosurgeryUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Amber N. Martin
- Department of Neurology and the UAB Epilepsy CenterUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - William S. Monroe
- Department of Research ComputingUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Noah S. Philip
- Brown UniversityProvidenceRhode IslandUSA
- Center for Neurorestoration and NeurotechnologyProvidence VA Medical CenterProvidenceRhode IslandUSA
| | - Krista Tocco
- Department of NeurologyRhode Island HospitalProvidenceRhode IslandUSA
- Brown UniversityProvidenceRhode IslandUSA
- Center for Neurorestoration and NeurotechnologyProvidence VA Medical CenterProvidenceRhode IslandUSA
| | - Valerie Vogel
- Department of NeurologyRhode Island HospitalProvidenceRhode IslandUSA
- Brown UniversityProvidenceRhode IslandUSA
- Center for Neurorestoration and NeurotechnologyProvidence VA Medical CenterProvidenceRhode IslandUSA
| | - W. Curt LaFrance
- Center for Neurorestoration and NeurotechnologyProvidence VA Medical CenterProvidenceRhode IslandUSA
- Departments of Psychiatry and NeurologyRhode Island Hospital and Brown UniversityProvidenceRhode IslandUSA
| | - Jerzy P. Szaflarski
- Department of Neurology and the UAB Epilepsy CenterUniversity of Alabama at BirminghamBirminghamAlabamaUSA
- Children’s of AlabamaUniversity of Alabama at BirminghamBirminghamAlabamaUSA
- Departments of Neurobiology and NeurosurgeryUniversity of Alabama at BirminghamBirminghamAlabamaUSA
- Comprehensive Neuroscience CenterUniversity of Alabama at BirminghamBirminghamAlabamaUSA
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Changes in brain glucose metabolism and connectivity in somatoform disorders: an 18F-FDG PET study. Eur Arch Psychiatry Clin Neurosci 2020; 270:881-891. [PMID: 31720787 DOI: 10.1007/s00406-019-01083-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Accepted: 11/05/2019] [Indexed: 01/18/2023]
Abstract
Somatoform disorders (SFD) are defined as a syndrome characterized by somatic symptoms which cannot be explained by organic reasons. Chronic or recurrent forms of somatization lead to heavy emotional and financial burden to the patients and their families. However, the underlying etiology of SFD is largely unknown. The purpose of this study is to investigate the changed brain glucose metabolic pattern in SFD. In this study, 18 SFD patients and 21 matched healthy controls were enrolled and underwent an 18F-FDG PET scan. First, we explored the altered brain glucose metabolism in SFD. Then, we calculated the mean 18F-FDG uptake values for 90 AAL regions, and detected the changed brain metabolic connectivity between the most significantly changed regions and all other regions. In addition, the Pearson coefficients between the neuropsychological scores and regional brain 18F-FDG uptake values were computed for SFD patients. We found that SFD patients showed extensive hypometabolism in bilateral superolateral prefrontal cortex, insula, and regions in bilateral temporal gyrus, right angular gyrus, left gyrus rectus, right fusiform gyrus, right rolandic operculum and bilateral occipital gyrus. The metabolic connectivity between right insula and prefrontal areas, as well as within prefrontal areas was enhanced in SFD. And several brain regions were associated with the somatic symptoms, including insula, putamen, middle temporal gyrus, superior parietal gyrus and orbital part of inferior frontal gyrus. Our study revealed widespread alterations of the brain glucose metabolic pattern in SFD patients. Those findings might elucidate the neuronal mechanisms with glucose metabolism and shed light on the pathology of SFD.
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Moenter A. Being in touch: The potential benefits and the use of attuned touch in psychotherapy for functional neurological symptoms (FNS). EUROPEAN JOURNAL OF TRAUMA & DISSOCIATION 2020. [DOI: 10.1016/j.ejtd.2020.100161] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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38
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A new simple brain segmentation method for extracerebral intracranial tumors. PLoS One 2020; 15:e0230754. [PMID: 32302315 PMCID: PMC7164623 DOI: 10.1371/journal.pone.0230754] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2019] [Accepted: 03/07/2020] [Indexed: 12/01/2022] Open
Abstract
Normal brain segmentation is available via FreeSurfer, Vbm, and Ibaspm software. However, these software packages cannot perform segmentation of the brain for patients with brain tumors. As we know, damage from extracerebral tumors to the brain occurs mainly by way of pushing and compressing while leaving the structure of the brain intact. Three-dimensional (3D) imaging, augmented reality (AR), and virtual reality (VR) technology have begun to be applied in clinical practice. The free medical open-source software 3D Slicer allows us to perform 3D simulations on a computer and requires little user interaction. Moreover, 3D Slicer can integrate with the third-party software mentioned above. The relationship between the tumor and surrounding brain tissue can be judged, but accurate brain segmentation cannot be performed using 3D Slicer. In this study, we combine 3D Slicer and FreeSurfer to provide a novel brain segmentation method for extracerebral tumors. This method can help surgeons identify the “real” relationship between the lesion and adjacent brain tissue before surgery and improve preoperative planning.
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Sta Cruz S, Dinov ID, Herting MM, González-Zacarías C, Kim H, Toga AW, Sepehrband F. Imputation Strategy for Reliable Regional MRI Morphological Measurements. Neuroinformatics 2020; 18:59-70. [PMID: 31054076 PMCID: PMC6829024 DOI: 10.1007/s12021-019-09426-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Regional morphological analysis represents a crucial step in most neuroimaging studies. Results from brain segmentation techniques are intrinsically prone to certain degrees of variability, mainly as results of suboptimal segmentation. To reduce this inherent variability, the errors are often identified through visual inspection and then corrected (semi)manually. Identification and correction of incorrect segmentation could be very expensive for large-scale studies. While identification of the incorrect results can be done relatively fast even with manual inspection, the correction step is extremely time-consuming, as it requires training staff to perform laborious manual corrections. Here we frame the correction phase of this problem as a missing data problem. Instead of manually adjusting the segmentation outputs, our computational approach aims to derive accurate morphological measures by machine learning imputation. Data imputation techniques may be used to replace missing or incorrect region average values with carefully chosen imputed values, all of which are computed based on other available multivariate information. We examined our approach of correcting segmentation outputs on a cohort of 970 subjects, which were undergone an extensive, time-consuming, manual post-segmentation correction. A random forest imputation technique recovered the gold standard results with a significant accuracy (r = 0.93, p < 0.0001; when 30% of the segmentations were considered incorrect in a non-random fashion). The random forest technique proved to be most effective for big data studies (N > 250).
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Affiliation(s)
- Shaina Sta Cruz
- Department of Communication Sciences and Disorders, California State University, Fullerton, CA, USA
- Public Health Graduate Program, University of California Merced, Merced, CA, USA
| | - Ivo D Dinov
- Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
- Statistics Online Computational Resource, Department of Health Behavior and Biological, Michigan Institute for Data Science, University of Michigan, Ann Arbor, MI, USA
| | - Megan M Herting
- Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
- Department of Pediatrics, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Clio González-Zacarías
- Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA
| | - Hosung Kim
- Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Arthur W Toga
- Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Farshid Sepehrband
- Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA.
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Individual differences in social network size linked to nucleus accumbens and hippocampal volumes in functional neurological disorder: A pilot study. J Affect Disord 2019; 258:50-54. [PMID: 31394458 PMCID: PMC6783807 DOI: 10.1016/j.jad.2019.07.061] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Revised: 07/07/2019] [Accepted: 07/29/2019] [Indexed: 01/16/2023]
Abstract
BACKGROUND In the biopsychosocial formulation of functional neurological (conversion) disorder (FND), little is known about relationships between social behavior and brain anatomy. We hypothesized that social behavior would relate to brain areas implicated in affiliative behaviors and that social network size would correlate with symptom severity and predisposing vulnerabilities in FND. METHODS This neuroimaging pilot probed how social network size, as measured by the Social Network Index, related to structural brain profiles in 23 patients with motor FND (15 woman and 8 men). FreeSurfer cortical thickness and subcortical volumetric analyses were performed correcting for multiple comparisons. Stratified analyses compared FND patients with a low social network size to matched healthy controls. Secondary exploratory analyses in an expanded sample of 38 FND patients investigated relationships between social network size, risk factors and patient-reported symptom severity. RESULTS Adjusting for age and gender, neuroimaging analyses showed that social network size positively correlated with left nucleus accumbens and hippocampal volumes in patients with FND; stratified analyses did not show any group-level differences. In individuals with FND, social network size correlated with health-related quality of life, graduating college, working full-time and a non-epileptic seizure diagnosis; social network size inversely related to lifetime trauma burden, post-traumatic stress disorder severity and age. LIMITATIONS Only patient-reported scales were used and social network size information was not collected for healthy subjects. CONCLUSIONS This neuroimaging pilot adds to the literature linking affiliation network brain areas to pro-social behaviors and enhances the biopsychosocial conceptualization of FND.
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Wang Z, Yuan Y, You J, Zhang Z. Disrupted structural brain connectome underlying the cognitive deficits in remitted late-onset depression. Brain Imaging Behav 2019; 14:1600-1611. [DOI: 10.1007/s11682-019-00091-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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Bègue I, Adams C, Stone J, Perez DL. Structural alterations in functional neurological disorder and related conditions: a software and hardware problem? Neuroimage Clin 2019; 22:101798. [PMID: 31146322 PMCID: PMC6484222 DOI: 10.1016/j.nicl.2019.101798] [Citation(s) in RCA: 65] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Revised: 03/20/2019] [Accepted: 03/26/2019] [Indexed: 01/01/2023]
Abstract
Functional neurological (conversion) disorder (FND) is a condition at the interface of neurology and psychiatry. A "software" vs. "hardware" analogy describes abnormal neurobiological mechanisms occurring in the context of intact macroscopic brain structure. While useful for explanatory and treatment models, this framework may require more nuanced considerations in the context of quantitative structural neuroimaging findings in FND. Moreover, high co-occurrence of FND and somatic symptom disorders (SSD) as defined in DSM-IV (somatization disorder, somatoform pain disorder, and undifferentiated somatoform disorder; referred to as SSD for brevity in this article) raises the possibility of a partially overlapping pathophysiology. In this systematic review, we use a transdiagnostic approach to review and appraise the structural neuroimaging literature in FND and SSD. While larger sample size studies are needed for definitive characterization, this article highlights that individuals with FND and SSD may exhibit sensorimotor, prefrontal, striatal-thalamic, paralimbic, and limbic structural alterations. The structural neuroimaging literature is contextualized within the neurobiology of stress-related neuroplasticity, gender differences, psychiatric comorbidities, and the greater spectrum of functional somatic disorders. Future directions that could accelerate the characterization of the pathophysiology of FND and DSM-5 SSD are outlined, including "disease staging" discussions to contextualize subgroups with or without structural changes. Emerging neuroimaging evidence suggests that some individuals with FND and SSD may have a "software" and "hardware" problem, although if structural alterations are present the neural mechanisms of functional disorders remain distinct from lesional neurological conditions. Furthermore, it remains unclear whether structural alterations relate to predisposing vulnerabilities or consequences of the disorder.
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Affiliation(s)
- Indrit Bègue
- Department of Psychiatry, University of Geneva, Switzerland; Service of Adult Psychiatry, Department of Mental Health and Psychiatry, University Hospitals of Geneva, Switzerland; Laboratory for Behavioral Neurology and Imaging of Cognition, Geneva Neuroscience Center, University of Geneva, Switzerland
| | - Caitlin Adams
- Functional Neurology Research Group, Departments of Neurology and Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Inpatient Psychiatry Division, Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jon Stone
- Centre for Clinical Brain Sciences, Western General Hospital, NHS Lothian and University of Edinburgh, Edinburgh, UK
| | - David L Perez
- Functional Neurology Research Group, Departments of Neurology and Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 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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Ospina JP, Jalilianhasanpour R, Perez DL. The role of the anterior and midcingulate cortex in the neurobiology of functional neurologic disorder. HANDBOOK OF CLINICAL NEUROLOGY 2019; 166:267-279. [PMID: 31731915 DOI: 10.1016/b978-0-444-64196-0.00014-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Functional neurologic disorder (FND)/conversion disorder is a prevalent and disabling condition at the intersection of neurology and psychiatry. Clinicians often report feeling ill-equipped treating patients with FND, perpetuated by a historically limited understanding of neurobiologic disease mechanisms. In this review, we summarize the neuroimaging literature across the spectrum of sensorimotor FND, including functional imaging studies during rest, sensorimotor performance, and emotional-processing tasks as well as structural magnetic resonance imaging findings. Particular attention is given to studies implicating the anterior and middle cingulate cortex and related salience network structures (insula, amygdala, and periaqueductal gray) in the neurobiology of FND. Neuroimaging studies identify cingulo-insular functional alterations during rest, motor performance, and emotion processing in FND populations. The literature also supports that patients with FND exhibit heightened amygdalar and periaqueductal gray reactivity to emotionally valenced stimuli, enhanced coupling between amygdalar and motor control areas, and increased amygdalar volumes. The structural neuroimaging literature also implicates cingulo-insular areas in the pathophysiology of FND, though these findings require replication and clarification. While more research is needed to fully elucidate the pathophysiology of FND, salience network alterations appear present in some FND populations and can be contextualized using biopsychosocial models for FND.
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Affiliation(s)
- Juan Pablo Ospina
- Department of Neurology, Cognitive Behavioral Neurology Unit, Functional Neurology Research Group, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Rozita Jalilianhasanpour
- Department of Neurology, Cognitive Behavioral Neurology Unit, Functional Neurology Research Group, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - David L Perez
- Departments of Neurology and Psychiatry, Cognitive Behavioral Neurology and Neuropsychiatry Units, Functional Neurology Research Group, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
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Sone D, Sato N, Ota M, Kimura Y, Matsuda H. Widely Impaired White Matter Integrity and Altered Structural Brain Networks in Psychogenic Non-Epileptic Seizures. Neuropsychiatr Dis Treat 2019; 15:3549-3555. [PMID: 31920315 PMCID: PMC6939397 DOI: 10.2147/ndt.s235159] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Accepted: 12/06/2019] [Indexed: 01/05/2023] Open
Abstract
OBJECTIVE The underlying neural correlates of psychogenic non-epileptic seizures (PNES) are still unknown and their identification would be helpful for clinicians and patients. This study aimed to reveal details of white matter microstructure and alterations in brain structural networks in patients with PNES by using diffusion tensor imaging (DTI) and graph theoretical connectivity analysis. METHODS Seventeen patients with PNES and 26 age- and sex-matched healthy controls were enrolled. All participants underwent DTI on a 3.0-T MRI scanner, and fractional anisotropy (FA) and mean diffusivity (MD) maps were compared by tract-based spatial statistics. Additionally, the structural networks derived from DTI data were analyzed using graph theory and two different parcellation schemes. RESULTS Patients with PNES showed widespread decreases in FA and increases in MD, particularly in the deep white matter. In addition, graph theoretical analysis revealed impaired brain networks in PNES, including increased path length, decreased network efficiency, altered nodal topology, and reduced regional connectivity in the right posterior areas. CONCLUSION We found widely impaired white matter integrity and impaired brain structural networks in Japanese patients with PNES. These findings contribute to the accumulation of evidence on PNES and may improve understanding of this condition.
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Affiliation(s)
- Daichi Sone
- Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Noriko Sato
- Department of Radiology, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Miho Ota
- Department of Neuropsychiatry, Division of Clinical Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
| | - Yukio Kimura
- Department of Radiology, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Hiroshi Matsuda
- Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan
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Affiliation(s)
- Ria Pal
- University of Rochester School of Medicine and Dentistry, Rochester, New York
| | - Jorina Elbers
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California.
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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: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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Williams B, Jalilianhasanpour R, Matin N, Fricchione GL, Sepulcre J, Keshavan MS, LaFrance WC, Dickerson BC, Perez DL. Individual differences in corticolimbic structural profiles linked to insecure attachment and coping styles in motor functional neurological disorders. J Psychiatr Res 2018; 102:230-237. [PMID: 29702433 PMCID: PMC6005758 DOI: 10.1016/j.jpsychires.2018.04.006] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2018] [Revised: 03/16/2018] [Accepted: 04/05/2018] [Indexed: 12/12/2022]
Abstract
BACKGROUND Insecure attachment and maladaptive coping are important predisposing vulnerabilities for Functional Neurological Disorders (FND)/Conversion Disorder, yet no prior structural neuroimaging studies have investigated biomarkers associated with these risk factors in FND populations. This magnetic resonance imaging study examined cortical thickness and subcortical volumes associated with self-reported attachment and coping styles in patients with FND. We hypothesized that insecure attachment and maladaptive coping would relate to limbic-paralimbic structural alterations. METHODS FreeSurfer cortical thickness and subcortical volumetric analyses were performed in 26 patients with motor FND (21 women; 5 men) and 27 healthy controls (22 women; 5 men). For between-group comparisons, patients with FND were stratified by Relationship Scales Questionnaire, Ways of Coping Scale-Revised, and Connor-Davidson Resilience Scale scores. Within-group analyses were also performed in patients with FND. All analyses were performed in the complete cohort and separately in women only to evaluate for gender-specific effects. Cortical thickness analyses were whole-brain corrected at the cluster-wise level; subcortical analyses were Bonferroni corrected. RESULTS In women with FND, dismissing attachment correlated with reduced left parahippocampal cortical thickness. Confrontive coping was associated with reduced right hippocampal volume, while accepting responsibility positively correlated with right precentral gyrus cortical thickness. These findings held adjusting for anti-depressant use. All FND-related findings were within the normal range when compared to healthy women. CONCLUSION These observations connect individual-differences in limbic-paralimbic and premotor structures to attachment and coping styles in FND. The relationship between parahippocampal thickness and dismissing attachment may indicate aberrant social-emotional and contextual appraisal in women with FND.
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Affiliation(s)
- Benjamin Williams
- Department of Neurology, Functional Neurology Research Group, Cognitive Behavioral Neurology Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Rozita Jalilianhasanpour
- Department of Neurology, Functional Neurology Research Group, Cognitive Behavioral Neurology Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Nassim Matin
- Department of Neurology, Functional Neurology Research Group, Cognitive Behavioral Neurology Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Gregory L. Fricchione
- Department of Psychiatry, Benson-Henry Institute for Mind Body Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Jorge Sepulcre
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Matcheri S. Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - W. Curt LaFrance
- Neuropsychiatry and Behavioral Neurology Division, Rhode Island Hospital, Departments of Psychiatry and Neurology, Brown University, Alpert Medical School, Providence, Rhode Island, USA
| | - Bradford C. Dickerson
- Department of Neurology, Frontotemporal Disorders Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - David L. Perez
- Department of Neurology, Functional Neurology Research Group, Cognitive Behavioral Neurology Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA,Department of Psychiatry, Neuropsychiatry Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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Perez DL, Keshavan MS, Scharf JM, Boes AD, Price BH. Bridging the Great Divide: What Can Neurology Learn From Psychiatry? J Neuropsychiatry Clin Neurosci 2018; 30:271-278. [PMID: 29939105 PMCID: PMC6309772 DOI: 10.1176/appi.neuropsych.17100200] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
Neurology and psychiatry share common historical origins and rely on similar tools to study brain disorders. Yet the practical integration of medical and scientific approaches across these clinical neurosciences remains elusive. Although much has been written about the need to incorporate emerging systems-level, cellular-molecular, and genetic-epigenetic advances into a science of mind for psychiatric disorders, less attention has been given to applying clinical neuroscience principles to conceptualize neurologic conditions with an integrated neurobio-psycho-social approach. In this perspective article, the authors briefly outline the historically interwoven and complicated relationship between neurology and psychiatry. Through a series of vignettes, the authors then illustrate how some traditional psychiatric conditions are being reconceptualized in part as disorders of neurodevelopment and awareness. They emphasize the intersection of neurology and psychiatry by highlighting conditions that cut across traditional diagnostic boundaries. The authors argue that the divide between neurology and psychiatry can be narrowed by moving from lesion-based toward circuit-based understandings of neuropsychiatric disorders, from unidirectional toward bidirectional models of brain-behavior relationships, from exclusive reliance on categorical diagnoses toward transdiagnostic dimensional perspectives, and from silo-based research and treatments toward interdisciplinary approaches. The time is ripe for neurologists and psychiatrists to implement an integrated clinical neuroscience approach to the assessment and management of brain disorders. The subspecialty of behavioral neurology & neuropsychiatry is poised to lead the next generation of clinicians to merge brain science with psychological and social-cultural factors. These efforts will catalyze translational research, revitalize training programs, and advance the development of impactful patient-centered treatments.
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Affiliation(s)
- David L. Perez
- Behavioral Neurology Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
- Neuropsychiatry Unit, Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Matcheri S. Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Jeremiah M. Scharf
- Movement Disorders Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
- Division of Cognitive and Behavioral Neurology, Department of Neurology, Brigham and Women’s Hospital, Boston, MA
| | - Aaron D. Boes
- Departments of Pediatrics, Neurology and Psychiatry, University of Iowa Health Care, Carver College of Medicine, Iowa City, IA
| | - Bruce H. Price
- Behavioral Neurology Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
- Department of Neurology, McLean Hospital, Harvard Medical School, Belmont, MA
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Jafari Z, Kolb BE, Mohajerani MH. Chronic traffic noise stress accelerates brain impairment and cognitive decline in mice. Exp Neurol 2018; 308:1-12. [PMID: 29936225 DOI: 10.1016/j.expneurol.2018.06.011] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Revised: 06/08/2018] [Accepted: 06/21/2018] [Indexed: 11/26/2022]
Abstract
Although traffic noise exposure is a well-known environmental pollutant whose negative health effect has been discussed in different aspects of the human life, only a few animal studies have tackled this issue as a cohort study, which is not feasible to be addressed in human studies. In addition to the deleterious impact of the daytime noise on well-being, chronic nocturnal noise can also disturb sleep and affects physical and mental health, but to date, little research has examined the neurobiological effects of light/dark cycles of traffic noise exposure. We investigated the effects of light/dark cycles and sex on the impact of chronic traffic noise exposure on mouse brain structure-function. The mice were randomly assigned to either one of two stress conditions or a control condition. Animals were exposed to traffic noise on either the light-cycle (LC) or dark-cycle (DC) for 30 days. Traffic noise exposure caused the hypothalamic-pituitary-adrenal (HPA) axis hyperactivity, anxiety-like behavior, impairments in learning and memory, dysfunction in balance and motor coordination, and a reduction in variety of brain measures including a brain volume, medial prefrontal cortex (mPFC) area, cortical thickness, hippocampal volume, amygdala area, and the neural density in mPFC and dentate gyrus. All behavioral and brain measures revealed adverse effects of the chronic noise stress irrespective of the LC/DC exposure or sex. Our findings were a re-emphasis on the significance of noise prevention and mitigation strategies for public health.
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Affiliation(s)
- Zahra Jafari
- Department of Neuroscience, Canadian Center for Behavioural Neuroscience, University of Lethbridge, Lethbridge, AB T1K 3M4, Canada; Department of Basic Sciences in Rehabilitation, School of Rehabilitation Sciences, Iran University of Medical Science (IUMS), Tehran, Iran
| | - Bryan E Kolb
- Department of Neuroscience, Canadian Center for Behavioural Neuroscience, University of Lethbridge, Lethbridge, AB T1K 3M4, Canada.
| | - Majid H Mohajerani
- Department of Neuroscience, Canadian Center for Behavioural Neuroscience, University of Lethbridge, Lethbridge, AB T1K 3M4, Canada.
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