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Moghaddam HS, Parsaei M, Taghavizanjani F, Cattarinussi G, Aarabi MH, Sambataro F. White matter alterations in affective and non-affective early psychosis: A diffusion MRI study. J Affect Disord 2024; 351:615-623. [PMID: 38290585 DOI: 10.1016/j.jad.2024.01.238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 01/06/2024] [Accepted: 01/26/2024] [Indexed: 02/01/2024]
Abstract
BACKGROUND The early years after the onset of psychotic disorders, known as "early psychosis" (EP) are critical to determining the path of psychosis trajectory. We used a Diffusion Magnetic Resonance Imaging (DMRI) connectometry approach to assess the microstructural changes of white matter (WM) associated with EP. METHODS We used the Human Connectome Project in Early Psychosis (HCP-EP) dataset to collect DMRI data from patients with EP. The imaging data were processed in the Montreal Neuroimaging Initiative space and transformed into quantitative anisotropy (QA). The QA value was translated into the WM connectivity of each tract and used in the subsequent analysis. RESULTS 121 patients with EP (94 non-affective/27 affective) and 56 healthy controls were recruited. EP was associated with increased QA in the body and tapetum of corpus callosum (CC) and decreased QA in the bilateral cerebellum, and middle cerebellar peduncle. Compared to non-affective psychosis, affective psychosis showed increased QA in the bilateral cerebellum and vermis and decreased QA in the forceps minor, body of CC, right cingulum, and bilateral inferior fronto-occipital fasciculus. Furthermore, QA changes in several WM tracts were correlated with positive and negative symptom scale scores. LIMITATIONS DMRI intrinsic limitations, limited sample size, and neurobiological effects of psychotropic treatment. CONCLUSIONS EP is associated with alterations in WM connectivity primarily in the CC and cerebellar regions. Also, affective and non-affective psychosis have distinct alterations in WM connectivity. These results can be used for the early diagnosis and differentiation of psychotic disorders.
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Affiliation(s)
| | - Mohammadamin Parsaei
- Maternal, Fetal & Neonatal Research Center, Family Health Research Institute, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
| | - Fateme Taghavizanjani
- Psychiatric Research Center, Roozbeh Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Giulia Cattarinussi
- Department of Neuroscience (DNS), University of Padova, Padua, Italy; Padova Neuroscience Center, University of Padova, Padua, Italy; Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Mohammad Hadi Aarabi
- Department of Neuroscience (DNS), University of Padova, Padua, Italy; Padova Neuroscience Center, University of Padova, Padua, Italy
| | - Fabio Sambataro
- Department of Neuroscience (DNS), University of Padova, Padua, Italy; Padova Neuroscience Center, University of Padova, Padua, Italy.
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Parsaei M, Hasehmi SM, Seyedmirzaei H, Cattarinussi G, Sambataro F, Brambilla P, Delvecchio G. Microstructural white matter alterations associated with social anxiety disorders: A systematic review. J Affect Disord 2024; 350:78-88. [PMID: 38220105 DOI: 10.1016/j.jad.2024.01.118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 12/04/2023] [Accepted: 01/09/2024] [Indexed: 01/16/2024]
Abstract
BACKGROUND Social anxiety disorder (SAD) is a psychiatric condition characterized by impaired social functioning that negatively impacts individuals' quality of life. Previous neuroimaging studies have revealed morphological and functional changes in various brain regions associated with SAD. Recent advances in diffusion tensor imaging (DTI) and diffusion-weighted imaging (DWI) have enabled the investigation of microstructural white matter (WM) alterations in SAD. This study aims to provide an overview of DTI/DWI studies exploring WM microstructure changes in SAD. METHODS A systematic search on PubMed, Scopus, Web of Science, and PsycINFO was conducted for relevant records on July 8, 2023. An exploratory meta-analysis was also performed. RESULTS Eight studies were reviewed. Consistent findings indicated reduced fractional anisotropy and increased diffusivity measures in different WM tracts in SAD patients compared to healthy controls. These alterations were mostly observed within regions of the fronto-limbic network, like uncinate fasciculus (UF) and superior and inferior longitudinal fasciculi (SLF and ILF). Finally, our exploratory meta-analysis on four studies utilizing a voxel-wise analytic approach yielded no significant differences between SAD patients and controls. LIMITATIONS Limited number of studies, small sample sizes, and heterogeneity in analysis methods. CONCLUSIONS Patients with SAD exhibited altered WM integrity, particularly in the UF, SLF, and ILF, compared to healthy controls. However, due to the limited number of included studies, our meta-analysis yielded no significant differences between SAD patients and controls. Therefore, future research is crucial to unravel the link between altered WM structure and the involvement of other limbic and cortical structures in SAD pathogenesis.
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Affiliation(s)
- Mohammadamin Parsaei
- Maternal, Fetal & Neonatal Research Center, Family Health Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Homa Seyedmirzaei
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran; Interdisciplinary Neuroscience Research Program Tehran University of Medical Sciences, Tehran, Iran
| | - Giulia Cattarinussi
- Department of Neuroscience (DNS), Padua Neuroscience Center, University of Padova, Padua, Italy; Padua Neuroscience Center, University of Padova, Padua, Italy
| | - Fabio Sambataro
- Department of Neuroscience (DNS), Padua Neuroscience Center, University of Padova, Padua, Italy; Padua Neuroscience Center, University of Padova, Padua, Italy
| | - Paolo Brambilla
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy; Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Giuseppe Delvecchio
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
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3
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Geraci F, Passiatore R, Penzel N, Laudani S, Bertolino A, Blasi G, Graziano ACE, Kikidis GC, Mazza C, Parihar M, Rampino A, Sportelli L, Trevisan N, Drago F, Papaleo F, Sambataro F, Pergola G, Leggio GM. Sex dimorphism controls dysbindin-related cognitive dysfunctions in mice and humans with the contribution of COMT. Mol Psychiatry 2024:10.1038/s41380-024-02527-3. [PMID: 38532008 DOI: 10.1038/s41380-024-02527-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Revised: 03/05/2024] [Accepted: 03/12/2024] [Indexed: 03/28/2024]
Abstract
Cognitive dysfunctions are core-enduring symptoms of schizophrenia, with important sex-related differences. Genetic variants of the DTBPN1 gene associated with reduced dysbindin-1 protein (Dys) expression negatively impact cognitive functions in schizophrenia through a functional epistatic interaction with Catechol-O-methyltransferase (COMT). Dys is involved in the trafficking of dopaminergic receptors, crucial for prefrontal cortex (PFC) signaling regulation. Moreover, dopamine signaling is modulated by estrogens via inhibition of COMT expression. We hypothesized a sex dimorphism in Dys-related cognitive functions dependent on COMT and estrogen levels. Our multidisciplinary approach combined behavioral-molecular findings on genetically modified mice, human postmortem Dys expression data, and in vivo fMRI during a working memory task performance. We found cognitive impairments in male mice related to genetic variants characterized by reduced Dys protein expression (pBonferroni = 0.0001), as well as in male humans through a COMT/Dys functional epistatic interaction involving PFC brain activity during working memory (t(23) = -3.21; pFDR = 0.004). Dorsolateral PFC activity was associated with lower working memory performance in males only (p = 0.04). Also, male humans showed decreased Dys expression in dorsolateral PFC during adulthood (pFDR = 0.05). Female Dys mice showed preserved cognitive performances with deficits only with a lack of estrogen tested in an ovariectomy model (pBonferroni = 0.0001), suggesting that genetic variants reducing Dys protein expression could probably become functional in females when the protective effect of estrogens is attenuated, i.e., during menopause. Overall, our results show the differential impact of functional variants of the DTBPN1 gene interacting with COMT on cognitive functions across sexes in mice and humans, underlying the importance of considering sex as a target for patient stratification and precision medicine in schizophrenia.
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Affiliation(s)
- Federica Geraci
- Department of Biomedical and Biotechnological Sciences, University of Catania, 95123, Catania, Italy
| | - Roberta Passiatore
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, 70124, Bari, Italy
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 21205, Baltimore, MD, USA
| | - Nora Penzel
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, 70124, Bari, Italy
| | - Samuele Laudani
- Department of Biomedical and Biotechnological Sciences, University of Catania, 95123, Catania, Italy
| | - Alessandro Bertolino
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, 70124, Bari, Italy
- Psychiatric Unit - University Hospital, 70124, Bari, Italy
| | - Giuseppe Blasi
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, 70124, Bari, Italy
- Psychiatric Unit - University Hospital, 70124, Bari, Italy
| | - Adriana C E Graziano
- Department of Biomedical and Biotechnological Sciences, University of Catania, 95123, Catania, Italy
| | - Gianluca C Kikidis
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, 70124, Bari, Italy
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 21205, Baltimore, MD, USA
| | - Ciro Mazza
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, 70124, Bari, Italy
| | - Madhur Parihar
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 21205, Baltimore, MD, USA
| | - Antonio Rampino
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, 70124, Bari, Italy
- Psychiatric Unit - University Hospital, 70124, Bari, Italy
| | - Leonardo Sportelli
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, 70124, Bari, Italy
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 21205, Baltimore, MD, USA
- Department of Human Genetics, Radboud University Nijmegen, 6525 GD, Nijmegen, The Netherlands
| | - Nicolò Trevisan
- Department of Neuroscience (DNS), University of Padova, 35121, Padova, Italy
| | - Filippo Drago
- Department of Biomedical and Biotechnological Sciences, University of Catania, 95123, Catania, Italy
| | - Francesco Papaleo
- Genetics of Cognition Laboratory, Neuroscience area, Istituto Italiano di Tecnologia, Genova, Italy
| | - Fabio Sambataro
- Department of Neuroscience (DNS), University of Padova, 35121, Padova, Italy
| | - Giulio Pergola
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, 70124, Bari, Italy
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 21205, Baltimore, MD, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 21205, Baltimore, MD, USA
| | - Gian Marco Leggio
- Department of Biomedical and Biotechnological Sciences, University of Catania, 95123, Catania, Italy.
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4
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Castellini G, Tarchi L, Cassioli E, Ricca V, Abbate Daga G, Aguglia A, Albert U, Atti A, Barlati S, Blasi G, Carmassi C, Carrà G, De Fazio P, De Panfilis C, Di Lorenzo G, Ferrari S, Goracci A, Gramaglia C, Luciano M, Martinotti G, Menchetti M, Menculini G, Nanni MG, Nivoli A, Pinna F, Pompili M, Rosso G, Sambataro F, Sampogna G, Sani G, Serafini G, Signorelli MS, Tosato S, Ventriglio A, Viganò C, Volpe U, Fiorillo A. The interplay between mentalization, personality traits and burnout in psychiatry training: Results from a large multicenter controlled study. Acta Psychiatr Scand 2024; 149:177-194. [PMID: 38167781 DOI: 10.1111/acps.13649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 11/05/2023] [Accepted: 12/10/2023] [Indexed: 01/05/2024]
Abstract
BACKGROUND A better characterization of educational processes during psychiatry training is needed, both to foster personal resilience and occupational proficiency. METHODS An adequate coverage of medical residents at the national level was reached (41.86% of the total reference population, 29 out of 36 training centers-80.55%). Controls were recruited among residents in other medical specialties. All participants were assessed by questionnaires to evaluate early life experiences, attachment style, personality traits, coping strategies, emotional competencies. A Structural Equation Model (SEM) framework was employed to investigate the interplay between individual factors. RESULTS A total sample of 936 people was recruited (87.9% response-rate; 645 residents in psychiatry, 291 other medical residents). Psychiatry trainees reported a higher prevalence of adverse childhood experiences (emotional abuse, emotional neglect, physical neglect), greater attachment insecurity (anxious or avoidant) in comparison to other medical trainees. Psychiatry residents also reported higher social support-seeking as a coping strategy, lower problem-orientation, and lower transcendence. Lower neuroticism, higher openness to experience, and higher emotional awareness were also observed in psychiatry trainees. Psychiatry training was associated with a redefinition of conflict management skills as a function of seniority. The SEM model provided support for an interplay between early traumatic experiences, mentalization skills (coping strategies, emotion regulation), interpersonal competencies and occupational distress. CONCLUSIONS The findings of the present study supported a theoretical model based on mentalization theory for the interactions between personal and relational competencies in psychiatry training, thus providing potential target of remodulation and redefinition of this specific process of education.
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Affiliation(s)
- Giovanni Castellini
- Psychiatry Unit, Department of Health Sciences, University of Florence, Florence, Italy
| | - Livio Tarchi
- Psychiatry Unit, Department of Health Sciences, University of Florence, Florence, Italy
| | - Emanuele Cassioli
- Psychiatry Unit, Department of Health Sciences, University of Florence, Florence, Italy
| | - Valdo Ricca
- Psychiatry Unit, Department of Health Sciences, University of Florence, Florence, Italy
| | | | - Andrea Aguglia
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, and Maternal and Child Health, Psychiatry Section, University of Genoa, IRCCS San Martino, Genoa, Italy
| | - Umberto Albert
- Department of Medicine, Surgery and Health Sciences, University of Trieste and Department of Mental Health, Trieste, Italy
| | - Annarita Atti
- Section of Psychiatry, Department of Medical and Surgical Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Stefano Barlati
- Department of Clinical and Experimental Sciences, University of Brescia and Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy
| | - Giuseppe Blasi
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy
| | - Claudia Carmassi
- Department of Clinical and Experimental Medicine, Psychiatric Clinic, Azienda Ospedaliero-Universitaria Pisana, University of Pisa, Pisa, Italy
| | - Giuseppe Carrà
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Pasquale De Fazio
- Department of Health Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Chiara De Panfilis
- Unit of Neuroscience, Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Giorgio Di Lorenzo
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Silvia Ferrari
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Arianna Goracci
- Department of Molecular and Developmental medicine, University of Siena, Siena, Italy
| | - Carla Gramaglia
- Department of Translational Medicine, Università del Piemonte Orientale, Novara, Italy
| | - Mario Luciano
- Department of Psychiatry, University of Campania "L. Vanvitelli", Naples, Italy
| | - Giovanni Martinotti
- Department of Neurosciences, Imaging and Clinical Sciences, 'G. D'Annunzio' University, Chieti, Italy
| | - Marco Menchetti
- Section of Psychiatry, Department of Medical and Surgical Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | | | - Maria Giulia Nanni
- Department of Neuroscience and Rehabilitation, Institute of Psychiatry, University of Ferrara, Ferrara, Italy
| | - Alessandra Nivoli
- Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy
| | - Federica Pinna
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Maurizio Pompili
- Department of Neurosciences, Mental Health, and Sensory Organs, Faculty of Medicine and Psychology, Suicide Prevention Centre, Sant'Andrea Hospital, Sapienza University of Rome, Rome, Italy
| | - Gianluca Rosso
- Department of Neurosciences, University of Turin, Turin, Italy
| | - Fabio Sambataro
- Department of Neuroscience (DNS), University of Padova, Padua, Italy
| | - Gaia Sampogna
- Department of Psychiatry, University of Campania "L. Vanvitelli", Naples, Italy
| | - Gabriele Sani
- Department of Neuroscience, Section of Psychiatry, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Gianluca Serafini
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, and Maternal and Child Health, Psychiatry Section, University of Genoa, IRCCS San Martino, Genoa, Italy
| | - Maria Salvina Signorelli
- Psychiatry Unit, Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Sarah Tosato
- Section of Psychiatry, Department of Neuroscience, Biomedicine and Movement, University of Verona, Verona, Italy
| | - Antonio Ventriglio
- Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy
| | - Caterina Viganò
- Department of Biomedical and Clinical Sciences, Luigi Sacco and Aldo Ravelli Center for Neurotechnology and Brain Therapeutic, University of Milan, Milano, Italy
| | - Umberto Volpe
- Unit of Clinical Psychiatry, Department of Neurosciences/DIMSC, School of Medicine and Surgery, Polytechnic University of Marche, Ancona, Italy
| | - Andrea Fiorillo
- Department of Psychiatry, University of Campania "L. Vanvitelli", Naples, Italy
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5
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Kubera KM, Rashidi M, Schmitgen MM, Barth A, Hirjak D, Otte ML, Sambataro F, Calhoun VD, Wolf RC. Functional network interactions in patients with schizophrenia with persistent auditory verbal hallucinations: A multimodal MRI fusion approach using three-way pICA. Schizophr Res 2024; 265:20-29. [PMID: 37024417 DOI: 10.1016/j.schres.2023.03.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Revised: 02/18/2023] [Accepted: 03/03/2023] [Indexed: 04/08/2023]
Abstract
Over the last decade, there have been an increasing number of functional magnetic resonance imaging (fMRI) studies examining brain activity in schizophrenia (SZ) patients with persistent auditory verbal hallucinations (AVH) using either task-based or resting-state fMRI (rs-fMRI) paradigms. Such data have been conventionally collected and analyzed as distinct modalities, disregarding putative crossmodal interactions. Recently, it has become possible to incorporate two or more modalities in one comprehensive analysis to uncover hidden patterns of neural dysfunction not sufficiently captured by separate analysis. A novel multivariate fusion approach to multimodal data analysis, i.e., parallel independent component analysis (pICA), has been previously shown to be a powerful tool in this regard. We utilized three-way pICA to study covarying components among fractional amplitude of low-frequency fluctuations (fALFF) for rs-MRI and task-based activation computed from an alertness and a working memory (WM) paradigm of 15 SZ patients with AVH, 16 non-hallucinating SZ patients (nAVH), and 19 healthy controls (HC). The strongest connected triplet (false discovery rate (FDR)-corrected pairwise correlations) comprised a frontostriatal/temporal network (fALFF), a temporal/sensorimotor network (alertness task), and a frontoparietal network (WM task). Frontoparietal and frontostriatal/temporal network strength significantly differed between AVH patients and HC. Phenomenological features such as omnipotence and malevolence of AVH were associated with temporal/sensorimotor and frontoparietal network strength. The transmodal data confirm a complex interplay of neural systems subserving attentional processes and cognitive control interacting with speech and language processing networks. In addition, the data emphasize the importance of sensorimotor regions modulating specific symptom dimensions of AVH.
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Affiliation(s)
- Katharina M Kubera
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Germany
| | - Mahmoud Rashidi
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Germany
| | - Mike M Schmitgen
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Germany
| | - Anja Barth
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Germany
| | - Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Marie-Luise Otte
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Germany
| | - Fabio Sambataro
- Department of Neuroscience (DNS), University of Padua, Padua, Italy; Padua Neuroscience Center, University of Padua, Padua, Italy
| | - Vince D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
| | - Robert C Wolf
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Germany.
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Toffanin T, Cattarinussi G, Ghiotto N, Lussignoli M, Pavan C, Pieri L, Schiff S, Finatti F, Romagnolo F, Folesani F, Nanni MG, Caruso R, Zerbinati L, Belvederi Murri M, Ferrara M, Pigato G, Grassi L, Sambataro F. Effects of electroconvulsive therapy on cortical thickness in depression: a systematic review. Acta Neuropsychiatr 2024:1-15. [PMID: 38343196 DOI: 10.1017/neu.2024.6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/14/2024]
Abstract
OBJECTIVE Electroconvulsive therapy (ECT) is one of the most studied and validated available treatments for severe or treatment-resistant depression. However, little is known about the neural mechanisms underlying ECT. This systematic review aims to critically review all structural magnetic resonance imaging studies investigating longitudinal cortical thickness (CT) changes after ECT in patients with unipolar or bipolar depression. METHODS We performed a search on PubMed, Medline, and Embase to identify all available studies published before April 20, 2023. A total of 10 studies were included. RESULTS The investigations showed widespread increases in CT after ECT in depressed patients, involving mainly the temporal, insular, and frontal regions. In five studies, CT increases in a non-overlapping set of brain areas correlated with the clinical efficacy of ECT. The small sample size, heterogeneity in terms of populations, comorbidities, and ECT protocols, and the lack of a control group in some investigations limit the generalisability of the results. CONCLUSIONS Our findings support the idea that ECT can increase CT in patients with unipolar and bipolar depression. It remains unclear whether these changes are related to the clinical response. Future larger studies with longer follow-up are warranted to thoroughly address the potential role of CT as a biomarker of clinical response after ECT.
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Affiliation(s)
- Tommaso Toffanin
- Department of Neuroscience and Rehabilitation, Institute of Psychiatry, University of Ferrara, Ferrara, Italy
| | - Giulia Cattarinussi
- Department of Neuroscience (DNS), University of Padova, Padua, Italy
- Padova Neuroscience Center, University of Padova, Padua, Italy
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, London, UK
| | - Niccolò Ghiotto
- Department of Neuroscience (DNS), University of Padova, Padua, Italy
| | | | - Chiara Pavan
- Department of Neuroscience (DNS), University of Padova, Padua, Italy
| | - Luca Pieri
- Department of Medicine, University of Padova, Padua, Italy
| | - Sami Schiff
- Department of Medicine, University of Padova, Padua, Italy
| | - Francesco Finatti
- Department of Neuroscience (DNS), University of Padova, Padua, Italy
| | - Francesca Romagnolo
- Department of Neuroscience and Rehabilitation, Institute of Psychiatry, University of Ferrara, Ferrara, Italy
| | - Federica Folesani
- Department of Neuroscience and Rehabilitation, Institute of Psychiatry, University of Ferrara, Ferrara, Italy
| | - Maria Giulia Nanni
- Department of Neuroscience and Rehabilitation, Institute of Psychiatry, University of Ferrara, Ferrara, Italy
| | - Rosangela Caruso
- Department of Neuroscience and Rehabilitation, Institute of Psychiatry, University of Ferrara, Ferrara, Italy
| | - Luigi Zerbinati
- Department of Neuroscience and Rehabilitation, Institute of Psychiatry, University of Ferrara, Ferrara, Italy
| | - Martino Belvederi Murri
- Department of Neuroscience and Rehabilitation, Institute of Psychiatry, University of Ferrara, Ferrara, Italy
| | - Maria Ferrara
- Department of Neuroscience and Rehabilitation, Institute of Psychiatry, University of Ferrara, Ferrara, Italy
| | - Giorgio Pigato
- Department of Psychiatry, Padova University Hospital, Padua, Italy
| | - Luigi Grassi
- Department of Neuroscience and Rehabilitation, Institute of Psychiatry, University of Ferrara, Ferrara, Italy
| | - Fabio Sambataro
- Department of Neuroscience (DNS), University of Padova, Padua, Italy
- Padova Neuroscience Center, University of Padova, Padua, Italy
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7
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Meda N, Miola A, Cattarinussi G, Sambataro F. Whole-brain structural and functional neuroimaging of individuals who attempted suicide and people who did not: A systematic review and exploratory coordinate-based meta-analysis. Eur Neuropsychopharmacol 2024; 79:66-77. [PMID: 38237538 DOI: 10.1016/j.euroneuro.2023.10.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 10/11/2023] [Accepted: 10/14/2023] [Indexed: 02/06/2024]
Abstract
Suicide is the cause of death of approximately 800,000 people a year. Despite the relevance of this behaviour, risk assessment tools rely on clinician experience and subjective ratings. Given that previous suicide attempts are the single strongest predictors of future attempts, we designed a systematic review and coordinate-based meta-analysis to demonstrate whether neuroimaging features can help distinguish individuals who attempted suicide from subjects who did not. Out of 5,659 publications from PubMed, Scopus, and Web of Science, we summarised 102 experiments and meta-analysed 23 of them. A cluster in the right superior temporal gyrus, a region implicated in emotional processing, might be functionally hyperactive in individuals who attempted suicide. No statistically significant differences in brain morphometry were evidenced. Furthermore, we used JuSpace to show that this cluster is enriched in 5-HT1A heteroreceptors in the general population. This exploratory meta-analysis provides a putative neural substrate linked to previous suicide attempts. Heterogeneity in the analytical techniques and weak or absent power analysis of the studies included in this review currently limit the applicability of the findings, the replication of which should be prioritised.
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Affiliation(s)
- Nicola Meda
- Department of Neuroscience, University of Padova, Via Giustiniani, 3, Padua, Italy; Padova University Hospital, Padua, Italy
| | - Alessandro Miola
- Department of Neuroscience, University of Padova, Via Giustiniani, 3, Padua, Italy; Padova Neuroscience Center, University of Padova, Padua, Italy; Casa di Cura Parco dei Tigli, Padova, Italy
| | - Giulia Cattarinussi
- Department of Neuroscience, University of Padova, Via Giustiniani, 3, Padua, Italy; Padova Neuroscience Center, University of Padova, Padua, Italy
| | - Fabio Sambataro
- Department of Neuroscience, University of Padova, Via Giustiniani, 3, Padua, Italy; Padova University Hospital, Padua, Italy; Padova Neuroscience Center, University of Padova, Padua, Italy.
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Cattarinussi G, Pouya P, Grimaldi DA, Dini MZ, Sambataro F, Brambilla P, Delvecchio G. Cortical alterations in relatives of patients with bipolar disorder: A review of magnetic resonance imaging studies. J Affect Disord 2024; 345:234-243. [PMID: 37865341 DOI: 10.1016/j.jad.2023.10.097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 09/11/2023] [Accepted: 10/15/2023] [Indexed: 10/23/2023]
Abstract
INTRODUCTION Bipolar disorder (BD) is a severe mental disorder characterized by high heritability rates. Widespread brain cortical alterations have been reported in BD patients, mostly involving the frontal, temporal and parietal regions. Importantly, also unaffected relatives of BD patients (BD-RELs) present abnormalities in cortical measures, which are not influenced by disease-related factors, such as medication use and illness duration. Here, we collected all available evidence on cortical measures in BD-RELs to further our knowledge on the potential cortical alterations associated with the vulnerability and the resilience to BD. METHODS A search on PubMed, Web of Science and Scopus was performed to identify neuroimaging studies exploring cortical alterations in BD-RELs, including cortical thickness (CT), surface area (SA), gyrification (GI) and cortical complexity. Eleven studies were included. Of these, five assessed CT, five examined CT and SA and one explored CT, SA and GI. RESULTS Overall, a heterogeneous pattern of cortical alterations emerged. The areas more consistently linked with genetic liability for BD were the prefrontal and sensorimotor regions. Mixed evidence was reported in the temporal and cingulate areas. LIMITATIONS The small sample size and the heterogeneity in terms of methodologies and the characteristics of the participants limit the generalizability of our results. CONCLUSIONS Our findings suggest that the genetic liability for BD is related to reduced CT in the prefrontal cortex, which might be a marker of risk for BD, and increased CT within the sensorimotor cortex, which could represent a marker of resilience.
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Affiliation(s)
- Giulia Cattarinussi
- Department of Neuroscience (DNS), Padua Neuroscience Center, University of Padova, Padua, Italy; Padua Neuroscience Center, University of Padova, Padua, Italy
| | - Parnia Pouya
- Research Center for Evidence-Based Medicine, Health Management and Safety Promotion Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran; Iranian EBM Center: A Joanna Briggs Institute Affiliated Group, Iran; Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
| | | | - Mahta Zare Dini
- Research Center for Evidence-Based Medicine, Health Management and Safety Promotion Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran; Iranian EBM Center: A Joanna Briggs Institute Affiliated Group, Iran; Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Fabio Sambataro
- Department of Neuroscience (DNS), Padua Neuroscience Center, University of Padova, Padua, Italy; Padua Neuroscience Center, University of Padova, Padua, Italy
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Giuseppe Delvecchio
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.
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9
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Hirjak D, Ams M, Gass P, Kubera KM, Sambataro F, Foucher JR, Northoff G, Wolf RC. Historical postmortem studies on catatonia: Close reading and analysis of Kahlbaum's cases and scientific texts between 1800 and 1900. Schizophr Res 2024; 263:18-26. [PMID: 37147227 DOI: 10.1016/j.schres.2023.04.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Revised: 02/17/2023] [Accepted: 04/05/2023] [Indexed: 05/07/2023]
Abstract
In the 19th century, postmortem brain examination played a central role in the search for the neurobiological origin of psychiatric and neurological disorders. During that time, psychiatrists, neurologists, and neuropathologists examined autopsied brains from catatonic patients and postulated that catatonia is an organic brain disease. In line with this development, human postmortem studies of the 19th century became increasingly important in the conception of catatonia and might be seen as precursors of modern neuroscience. In this report, we closely examined autopsy reports of eleven catatonia patients of Karl Ludwig Kahlbaum. Further, we performed a close reading and analysis of previously (systematically) identified historical German and English texts between 1800 and 1900 for autopsy reports of catatonia patients. Two main findings emerged: (i) Kahlbaum's most important finding in catatonia patients was the opacity of the arachnoid; (ii) historical human postmortem studies of catatonia patients postulated a number of neuroanatomical abnormalities such as cerebral enlargement or atrophy, anemia, inflammation, suppuration, serous effusion, or dropsy as well as alterations of brain blood vessels such as rupture, distension or ossification in the pathogenesis of catatonia. However, the exact localization has often been missing or inaccurate, probably due to the lack of standardized subdivision/nomenclature of the respective brain areas. Nevertheless, Kahlbaum's 11 autopsy reports and the identified neuropathological studies between 1800 and 1900 made important discoveries, which still have the potential to inform and bolster modern neuroscientific research in catatonia.
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Affiliation(s)
- Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.
| | - Miriam Ams
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Peter Gass
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Katharina M Kubera
- Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Heidelberg, Germany
| | - Fabio Sambataro
- Department of Neuroscience, Università degli studi di Padova, Padova, Italy; Padova Neuroscience Center, Università degli studi di Padova, Padova, Italy
| | - Jack R Foucher
- ICube - CNRS UMR 7357, Neurophysiology, FMTS, University of Strasbourg, CEMNIS (UF 4768) Non-invasive Neuromodulation Center, University Hospital Strasbourg, BP 426, 67 091 Strasbourg, France
| | - Georg Northoff
- Mind, Brain Imaging and Neuroethics Research Unit, The Royal's Institute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada
| | - Robert Christian Wolf
- Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Heidelberg, Germany
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10
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Cattarinussi G, Gugliotta AA, Hirjak D, Wolf RC, Sambataro F. Brain mechanisms underlying catatonia: A systematic review. Schizophr Res 2024; 263:194-207. [PMID: 36404217 DOI: 10.1016/j.schres.2022.11.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 11/02/2022] [Accepted: 11/03/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND Catatonia is a complex psychomotor disorder characterized by motor, affective, and behavioral symptoms. Despite being known for almost 150 years, its pathomechanisms are still largely unknown. METHODS A systematic research on PubMed, Web of Science, and Scopus was conducted to identify neuroimaging studies conducted on group or single individuals with catatonia. Overall, 33 studies employing structural magnetic resonance imaging (sMRI, n = 11), functional magnetic resonance imaging (fMRI, n = 10), sMRI and fMRI (n = 2), functional near-infrared spectroscopy (fNIRS, n = 1), single positron emission computer tomography (SPECT, n = 4), positron emission tomography (PET, n = 4), and magnetic resonance spectroscopy (MRS, n = 1), and 171 case reports were retrieved. RESULTS Observational sMRI studies showed numerous brain changes in catatonia, including diffuse atrophy and signal hyperintensities, while case-control studies reported alterations in fronto-parietal and limbic regions, the thalamus, and the striatum. Task-based and resting-state fMRI studies found abnormalities located primarily in the orbitofrontal, medial prefrontal, motor cortices, cerebellum, and brainstem. Lastly, metabolic and perfusion changes were observed in the basal ganglia, prefrontal, and motor areas. Most of the case-report studies described widespread white matter lesions and frontal, temporal, or basal ganglia hypoperfusion. CONCLUSIONS Catatonia is characterized by structural, functional, perfusion, and metabolic cortico-subcortical abnormalities. However, the majority of studies and case reports included in this systematic review are affected by considerable heterogeneity, both in terms of populations and neuroimaging techniques, which calls for a cautious interpretation. Further elucidation, through future neuroimaging research, could have great potential to improve the description of the neural motor and psychomotor mechanisms underlying catatonia.
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Affiliation(s)
- Giulia Cattarinussi
- Department of Neuroscience (DNS), University of Padova, Padova, Italy; Padova Neuroscience Center, University of Padova, Padova, Italy
| | | | - Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Robert C Wolf
- Department of General Psychiatry at the Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany
| | - Fabio Sambataro
- Department of Neuroscience (DNS), University of Padova, Padova, Italy; Padova Neuroscience Center, University of Padova, Padova, Italy.
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11
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Cattarinussi G, Di Giorgio A, Moretti F, Bondi E, Sambataro F. Dynamic functional connectivity in schizophrenia and bipolar disorder: A review of the evidence and associations with psychopathological features. Prog Neuropsychopharmacol Biol Psychiatry 2023; 127:110827. [PMID: 37473954 DOI: 10.1016/j.pnpbp.2023.110827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 06/05/2023] [Accepted: 07/10/2023] [Indexed: 07/22/2023]
Abstract
Alterations of functional network connectivity have been implicated in the pathophysiology of schizophrenia (SCZ) and bipolar disorder (BD). Recent studies also suggest that the temporal dynamics of functional connectivity (dFC) can be altered in these disorders. Here, we summarized the existing literature on dFC in SCZ and BD, and their association with psychopathological and cognitive features. We systematically searched PubMed, Web of Science, and Scopus for studies investigating dFC in SCZ and BD and identified 77 studies. Our findings support a general model of dysconnectivity of dFC in SCZ, whereas a heterogeneous picture arose in BD. Although dFC alterations are more severe and widespread in SCZ compared to BD, dysfunctions of a triple network system underlying goal-directed behavior and sensory-motor networks were present in both disorders. Furthermore, in SCZ, positive and negative symptoms were associated with abnormal dFC. Implications for understanding the pathophysiology of disorders, the role of neurotransmitters, and treatments on dFC are discussed. The lack of standards for dFC metrics, replication studies, and the use of small samples represent major limitations for the field.
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Affiliation(s)
- Giulia Cattarinussi
- Department of Neuroscience (DNS), University of Padova, Italy; Padova Neuroscience Center, University of Padova, Italy
| | - Annabella Di Giorgio
- Department of Mental Health and Addictions, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Federica Moretti
- Department of Medicine and Surgery, University of Milan Bicocca, Milan, Italy
| | - Emi Bondi
- Department of Mental Health and Addictions, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Fabio Sambataro
- Department of Neuroscience (DNS), University of Padova, Italy; Padova Neuroscience Center, University of Padova, Italy.
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12
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Rezaei S, Gharepapagh E, Rashidi F, Cattarinussi G, Sanjari Moghaddam H, Di Camillo F, Schiena G, Sambataro F, Brambilla P, Delvecchio G. Machine learning applied to functional magnetic resonance imaging in anxiety disorders. J Affect Disord 2023; 342:54-62. [PMID: 37683943 DOI: 10.1016/j.jad.2023.09.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 08/21/2023] [Accepted: 09/05/2023] [Indexed: 09/10/2023]
Abstract
BACKGROUND Brain functional abnormalities have been commonly reported in anxiety disorders, including generalized anxiety disorder, social anxiety disorder, panic disorder, agoraphobia, and specific phobias. The role of functional abnormalities in the discrimination of these disorders can be tested with machine learning (ML) techniques. Here, we aim to provide a comprehensive overview of ML studies exploring the potential discriminating role of functional brain alterations identified by functional magnetic resonance imaging (fMRI) in anxiety disorders. METHODS We conducted a search on PubMed, Web of Science, and Scopus of ML investigations using fMRI as features in patients with anxiety disorders. A total of 12 studies (resting-state fMRI n = 5, task-based fMRI n = 6, resting-state and task-based fMRI n=1) met our inclusion criteria. RESULTS Overall, the studies showed that, regardless of the classifiers, alterations in functional connectivity and aberrant neural activation involving the amygdala, anterior cingulate cortex, hippocampus, insula, orbitofrontal cortex, temporal pole, cerebellum, default mode network, dorsal attention network, sensory network, and affective network were able to discriminate patients with anxiety from controls, with accuracies spanning from 36 % to 94 %. LIMITATIONS The small sample size, different ML approaches and heterogeneity in the selection of regions included in the multivariate pattern analyses limit the conclusions of the present review. CONCLUSIONS ML methods using fMRI as features can distinguish patients with anxiety disorders from healthy controls, indicating that these techniques could be used as a helpful tool for the diagnosis and the development of more targeted treatments for these disorders.
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Affiliation(s)
- Sahar Rezaei
- Connective Tissue Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; Department of Nuclear Medicine, Medical School, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Esmaeil Gharepapagh
- Connective Tissue Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; Department of Nuclear Medicine, Medical School, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Fatemeh Rashidi
- Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Giulia Cattarinussi
- Department of Neuroscience (DNS), University of Padova, Padua, Italy; Padova Neuroscience Center, University of Padova, Padua, Italy
| | | | - Fabio Di Camillo
- Department of Neuroscience (DNS), University of Padova, Padua, Italy
| | - Giandomenico Schiena
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Fabio Sambataro
- Department of Neuroscience (DNS), University of Padova, Padua, Italy; Padova Neuroscience Center, University of Padova, Padua, Italy
| | - Paolo Brambilla
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy; Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Giuseppe Delvecchio
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
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13
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Cattarinussi G, Grimaldi DA, Sambataro F. Spontaneous Brain Activity Alterations in First-Episode Psychosis: A Meta-analysis of Functional Magnetic Resonance Imaging Studies. Schizophr Bull 2023; 49:1494-1507. [PMID: 38029279 PMCID: PMC10686347 DOI: 10.1093/schbul/sbad044] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2023]
Abstract
BACKGROUND AND HYPOTHESIS Several studies have shown that spontaneous brain activity, including the total and fractional amplitude of low-frequency fluctuations (LFF) and regional homogeneity (ReHo), is altered in psychosis. Nonetheless, neuroimaging results show a high heterogeneity. For this reason, we gathered the extant literature on spontaneous brain activity in first-episode psychosis (FEP), where the effects of long-term treatment and chronic disease are minimal. STUDY DESIGN A systematic research was conducted on PubMed, Scopus, and Web of Science to identify studies exploring spontaneous brain activity and local connectivity in FEP estimated using functional magnetic resonance imaging. 20 LFF and 15 ReHo studies were included. Coordinate-Based Activation Likelihood Estimation Meta-Analyses stratified by brain measures, age (adolescent vs adult), and drug-naïve status were performed to identify spatially-convergent alterations in spontaneous brain activity in FEP. STUDY RESULTS We found a significant increase in LFF in FEP compared to healthy controls (HC) in the right striatum and in ReHo in the left striatum. When pooling together all studies on LFF and ReHo, spontaneous brain activity was increased in the bilateral striatum and superior and middle frontal gyri and decreased in the right precentral gyrus and the right inferior frontal gyrus compared to HC. These results were also replicated in the adult and drug-naïve samples. CONCLUSIONS Abnormalities in the frontostriatal circuit are present in early psychosis independently of treatment status. Our findings support the view that altered frontostriatal can represent a core neural alteration of the disorder and could be a target of treatment.
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Affiliation(s)
- Giulia Cattarinussi
- Department of Neuroscience (DNS), University of Padova, Padua, Italy
- Department of Neuroscience (DNS), Padova Neuroscience Center, University of Padova, Padua, Italy
| | | | - Fabio Sambataro
- Department of Neuroscience (DNS), University of Padova, Padua, Italy
- Department of Neuroscience (DNS), Padova Neuroscience Center, University of Padova, Padua, Italy
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14
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Visalli A, Ambrosini E, Viviani G, Sambataro F, Tenconi E, Vallesi A. On the relationship between emotions and cognitive control: Evidence from an observational study on emotional priming Stroop task. PLoS One 2023; 18:e0294957. [PMID: 38011212 PMCID: PMC10681184 DOI: 10.1371/journal.pone.0294957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Accepted: 11/10/2023] [Indexed: 11/29/2023] Open
Abstract
Evidence is discordant regarding how emotional processing and cognitive control interact to shape behavior. This observational study sought to examine this interaction by looking at the distinction between proactive and reactive modes of control and how they relate to emotional processing. Seventy-four healthy participants performed an emotional priming Stroop task. On each trial, target stimuli of a spatial Stroop task were preceded by sad or neutral facial expressions, providing two emotional conditions. To manipulate the requirement of both proactive and reactive control, the proportion of congruent trials (PC) was varied at the list-wide (LWPC) and item-specific (ISPC) levels, respectively. We found that sad priming led to behavioral costs only in trials with low proactive and reactive cognitive control demands. Our findings suggest that emotional processing affects cognitive processes other than cognitive control in the Stroop task. Moreover, both proactive and reactive control modes seem effective in overcoming emotional interference of priming stimuli.
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Affiliation(s)
| | - Ettore Ambrosini
- Department of Neuroscience, University of Padova, Padova, Italy
- Padova Neuroscience Center, University of Padova, Padova, Italy
- Department of General Psychology, University of Padova, Padova, Italy
| | - Giada Viviani
- Department of Neuroscience, University of Padova, Padova, Italy
- Padova Neuroscience Center, University of Padova, Padova, Italy
| | - Fabio Sambataro
- Department of Neuroscience, University of Padova, Padova, Italy
- Padova Neuroscience Center, University of Padova, Padova, Italy
| | - Elena Tenconi
- Department of Neuroscience, University of Padova, Padova, Italy
- Padova Neuroscience Center, University of Padova, Padova, Italy
| | - Antonino Vallesi
- Department of Neuroscience, University of Padova, Padova, Italy
- Padova Neuroscience Center, University of Padova, Padova, Italy
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15
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Shafie M, Shahmohamadi E, Cattarinussi G, Sanjari Moghaddam H, Akhondzadeh S, Sambataro F, Moltrasio C, Delvecchio G. Resting-state functional magnetic resonance imaging alterations in borderline personality disorder: A systematic review. J Affect Disord 2023; 341:335-345. [PMID: 37673288 DOI: 10.1016/j.jad.2023.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 08/24/2023] [Accepted: 09/01/2023] [Indexed: 09/08/2023]
Abstract
BACKGROUND Borderline personality disorder (BPD) is a severe psychiatric disorder characterized by emotion dysregulation, impulsivity, and interpersonal disturbances. Several structural and functional neuroimaging abnormalities have been described in BPD. In particular, resting-state functional magnetic resonance imaging (rs-fMRI) studies have recently suggested various connectivity alterations within and between large-scale brain networks in BPD. This review aimed at providing an updated summary of the evidence reported by the available rs-fMRI studies in BPD individuals. METHODS A search on PubMed, Scopus, and Web of Science was performed to identify rs-fMRI alterations in BPD. A total of 15 studies met our inclusion criteria. RESULTS Overall, aberrant resting-state functional connectivity (rs-FC) within and between default mode network (DMN), salience network (SN), and central executive network (CEN) were observed in BPD compared to healthy controls, as well as selective functional impairments in bilateral amygdala, anterior and posterior cingulate cortex, hippocampus, and prefrontal cortex. LIMITATIONS The observational design, small sample size, prevalence of females, high rates of concurrent comorbidities and medications, and heterogeneity across imaging methodologies limit the generalizability of the results. CONCLUSIONS The identification of altered patterns of rs-FC within and between selective brain networks, including DMN, SN, and CEN, could further our knowledge of the clinical symptoms of BPD, and therefore, future studies with multimodal methodologies and longitudinal designs are warranted to further explore the neural correlates of this disorder.
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Affiliation(s)
- Mahan Shafie
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Giulia Cattarinussi
- Department of Neuroscience (DNS), Padua Neuroscience Center, University of Padova, Padua, Italy; Padua Neuroscience Center, University of Padova, Padua, Italy
| | - Hossein Sanjari Moghaddam
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran; Psychiatry and Psychology Research Center, Roozbeh Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Shahin Akhondzadeh
- Psychiatry and Psychology Research Center, Roozbeh Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Fabio Sambataro
- Department of Neuroscience (DNS), Padua Neuroscience Center, University of Padova, Padua, Italy; Padua Neuroscience Center, University of Padova, Padua, Italy
| | - Chiara Moltrasio
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Giuseppe Delvecchio
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
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16
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Parsaei M, Taghavizanjani F, Cattarinussi G, Moghaddam HS, Di Camillo F, Akhondzadeh S, Sambataro F, Brambilla P, Delvecchio G. Classification of suicidality by training supervised machine learning models with brain MRI findings: A systematic review. J Affect Disord 2023; 340:766-791. [PMID: 37567348 DOI: 10.1016/j.jad.2023.08.034] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 07/03/2023] [Accepted: 08/04/2023] [Indexed: 08/13/2023]
Abstract
BACKGROUND Suicide is a global public health issue causing around 700,000 deaths worldwide each year. Therefore, identifying suicidal thoughts and behaviors in patients can help lower the suicide-related mortality rate. This review aimed to investigate the feasibility of suicidality identification by applying supervised Machine Learning (ML) methods to Magnetic Resonance Imaging (MRI) data. METHODS We conducted a systematic search on PubMed, Scopus, and Web of Science to identify studies examining suicidality by applying ML methods to MRI features. Also, the Prediction Model Risk of Bias Assessment Tool (PROBAST) was employed for the quality assessment. RESULTS 23 studies met the inclusion criteria. Of these, 20 developed prediction models without external validation and 3 developed prediction models with external validation. The performance of ML models varied among the reviewed studies, with the highest reported values of accuracies and Area Under the Curve (AUC) ranging from 51.7 % to 100 % and 0.52 to 1, respectively. Over half of the studies that reported accuracy (12/21) or AUC (13/16) achieved values of ≥0.8. Our comparative analysis indicated that deep learning exhibited the highest predictive performance compared to other ML models. The most commonly identified discriminative imaging features were resting-state functional connectivity and grey matter volume within prefrontal-limbic structures. LIMITATIONS Small sample sizes, lack of external validation, heterogeneous study designs, and ML model development. CONCLUSIONS Most of the studies developed ML models capable of ML-based suicide identification, although ML models' predictive performance varied across the reviewed studies. Thus, further well-designed is necessary to uncover the true potential of different ML models in this field.
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Affiliation(s)
| | | | - Giulia Cattarinussi
- Department of Neuroscience (DNS), University of Padova, Padua, Italy; Padua Neuroscience Center, University of Padova, Padua, Italy
| | - Hossein Sanjari Moghaddam
- School of Medicine, Tehran University of Medical Science, Tehran, Iran; Psychiatry and Psychology Research Center, Roozbeh Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Fabio Di Camillo
- Department of Neuroscience (DNS), University of Padova, Padua, Italy
| | - Shahin Akhondzadeh
- Psychiatry and Psychology Research Center, Roozbeh Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Fabio Sambataro
- Department of Neuroscience (DNS), University of Padova, Padua, Italy; Padua Neuroscience Center, University of Padova, Padua, Italy
| | - Paolo Brambilla
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy; Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Giuseppe Delvecchio
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
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17
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Valizadeh P, Cattarinussi G, Sambataro F, Brambilla P, Delvecchio G. Neuroimaging alterations associated with medication use in early-onset bipolar disorder: An updated review. J Affect Disord 2023; 339:984-997. [PMID: 37481130 DOI: 10.1016/j.jad.2023.07.098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 07/11/2023] [Accepted: 07/18/2023] [Indexed: 07/24/2023]
Abstract
BACKGROUND Pediatric bipolar disorder (PBD) is a severe disorder characterized by mood fluctuations starting at a young age. Several neuroimaging studies revealed a specific biological signature of PBD involving alterations in the amygdala and prefrontal regions. Considering the growing concerns regarding the effects of PBD treatments on developing brains, this review aims to provide an overview of the studies investigating the effect of mood stabilizers, antipsychotics, and anticonvulsants on neuroimaging findings in PBD. METHODS We searched PubMed, Scopus, and Web of Science to identify all structural magnetic resonance imaging (sMRI), functional magnetic resonance imaging (fMRI), and diffusion tensor imaging (DTI) studies exploring the effects of medications on neuroimaging findings in PBD. A total of 18 studies met our inclusion criteria (fMRI n = 11, sMRI n = 6, DTI n = 1). RESULTS Although the findings varied highly across the studies, some investigations consistently indicated that medications primarily affect the prefrontal cortex and the amygdala. Moreover, despite some exceptions, the reported medication effects predominantly lean towards structural and functional normalization. LIMITATIONS The reviewed studies differ in methods, medications, and fMRI paradigms. Furthermore, most studies used observational approaches with small sample sizes, minimizing the statistical power. CONCLUSIONS Evidence suggests the potential of antipsychotics and mood stabilizers to modulate the neuroimaging findings in PBD patients, mostly normalizing brain structure and function in key mood-regulating regions.
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Affiliation(s)
- Parya Valizadeh
- School of Medicine, Tehran University of Medical Science, Tehran, Iran; Neuroscience Research Group (NRG), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Giulia Cattarinussi
- Department of Neuroscience (DNS), Padua Neuroscience Center, University of Padova, Padua, Italy; Padua Neuroscience Center, University of Padova, Padua, Italy
| | - Fabio Sambataro
- Department of Neuroscience (DNS), Padua Neuroscience Center, University of Padova, Padua, Italy; Padua Neuroscience Center, University of Padova, Padua, Italy
| | - Paolo Brambilla
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy; Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Giuseppe Delvecchio
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
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Fornaro M, Caiazza C, Solini N, De Prisco M, Billeci M, Vannini M, Shorr R, Caiolo S, Lussignoli M, Siskind D, Pigato G, Barone A, Sambataro F, de Bartolomeis A, Correll CU, Solmi M. Pharmacological interventions for antipsychotic-related sialorrhea: a systematic review and network meta-analysis of randomized trials. Mol Psychiatry 2023; 28:3648-3660. [PMID: 37821573 DOI: 10.1038/s41380-023-02266-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 08/30/2023] [Accepted: 09/11/2023] [Indexed: 10/13/2023]
Abstract
Antipsychotic-induced sialorrhea carries a significant burden, but evidence-based treatment guidance is incomplete, warranting network meta-analysis (NMA) of pharmacological interventions for antipsychotic-related sialorrhea. PubMed Central/PsycInfo/Cochrane Central database/Clinicaltrials.gov/WHO-ICTRP and the Chinese Electronic Journal Database (Qikan.cqvip.com) were searched for published/unpublished RCTs of antipsychotic-induced sialorrhea (any definition) in adults, up to 06/12/2023. We assessed global/local inconsistencies, publication bias, risk of bias (RoB2), and confidence in the evidence, conducting subgroup/sensitivity analyses. Co-primary efficacy outcomes were changes in saliva production (standardized mean difference/SMD) and study-defined response (risk ratios/RRs). The acceptability outcome was all-cause discontinuation (RR). Primary nodes were molecules; the mechanism of action (MoA) was secondary. Thirty-four RCTs entered a systematic review, 33 NMA (n = 1958). All interventions were for clozapine-induced sialorrhea in subjects with mental disorders. Regarding individual agents and response, metoclopramide (RR = 3.11, 95% C.I. = 1.39-6.98), cyproheptadine, (RR = 2.76, 95% C.I. = 2.00-3.82), sulpiride (RR = 2.49, 95% C.I. = 1.65-3.77), propantheline (RR = 2.39, 95% C.I. = 1.97-2.90), diphenhydramine (RR = 2.32, 95% C.I. = 1.88-2.86), benzhexol (RR = 2.32, 95% C.I. = 1.59-3.38), doxepin (RR = 2.30, 95% C.I. = 1.85-2.88), amisulpride (RR = 2.23, 95% C.I. = 1.30-3.81), chlorpheniramine (RR = 2.20, 95% C.I. = 1.67-2.89), amitriptyline (RR = 2.09, 95% C.I. = 1.34-3.26), atropine, (RR = 2.03, 95% C.I. = 1.22-3.38), and astemizole, (RR = 1.70, 95% C.I. = 1.28-2.26) outperformed placebo, but not glycopyrrolate or ipratropium. Across secondary nodes (k = 28, n = 1821), antimuscarinics (RR = 2.26, 95% C.I. = 1.91-2.68), benzamides (RR = 2.23, 95% C.I. = 1.75-3.10), TCAs (RR = 2.23, 95% C.I. = 1.83-2.72), and antihistamines (RR = 2.18, 95% C.I. = 1.83-2.59) outperformed placebo. In head-to-head comparisons, astemizole and ipratropium were outperformed by several interventions. All secondary nodes, except benzamides, outperformed the placebo on the continuous efficacy outcome. For nocturnal sialorrhea, neither benzamides nor atropine outperformed the placebo. Active interventions did not differ significantly from placebo regarding constipation or sleepiness/drowsiness. Low-confidence findings prompt caution in the interpretation of the results. Considering primary nodes' co-primary efficacy outcomes and head-to-head comparisons, efficacy for sialorrhea is most consistent for the following agents, decreasing from metoclopramide through cyproheptadine, sulpiride, propantheline, diphenhydramine, benzhexol, doxepin, amisulpride, chlorpheniramine, to amitriptyline, and atropine (the latter not for nocturnal sialorrhea). Shared decision-making with the patient should guide treatment decisions regarding clozapine-related sialorrhea.
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Affiliation(s)
- Michele Fornaro
- Section of Psychiatry - Department of Neuroscience, Reproductive Sciences, and Dentistry, University School of Medicine Federico II, Naples, Italy.
| | - Claudio Caiazza
- Section of Psychiatry - Department of Neuroscience, Reproductive Sciences, and Dentistry, University School of Medicine Federico II, Naples, Italy
| | - Niccolò Solini
- Section of Psychiatry - Department of Neuroscience, Reproductive Sciences, and Dentistry, University School of Medicine Federico II, Naples, Italy
| | - Michele De Prisco
- Bipolar and Depressive Disorders Unit, IDIBAPS, CIBERSAM, Hospital Clinic, Barcelona, Catalonia, Spain
| | - Martina Billeci
- Section of Psychiatry - Department of Neuroscience, Reproductive Sciences, and Dentistry, University School of Medicine Federico II, Naples, Italy
| | - Martina Vannini
- Section of Psychiatry - Department of Neuroscience, Reproductive Sciences, and Dentistry, University School of Medicine Federico II, Naples, Italy
| | | | - Stefano Caiolo
- Department of Neuroscience, University of Padova, Padua, Italy
| | | | - Dan Siskind
- Metro South Addiction and Mental Health Service, Brisbane, QLD, Australia; School of Medicine, University of Queensland, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Giorgio Pigato
- Azienda Ospedale Università Padova, Padua University-Hospital, Padua, Italy
| | - Annarita Barone
- Section of Psychiatry - Department of Neuroscience, Reproductive Sciences, and Dentistry, University School of Medicine Federico II, Naples, Italy
| | - Fabio Sambataro
- Department of Neuroscience, University of Padova, Padua, Italy
| | - Andrea de Bartolomeis
- Section of Psychiatry - Department of Neuroscience, Reproductive Sciences, and Dentistry, University School of Medicine Federico II, Naples, Italy
- Staff UNESCO Chair for Health Education and Sustainable Development at Federico II University of Naples, Naples, Italy
| | - Christoph U Correll
- Department of Psychiatry, Northwell Health, The Zucker Hillside Hospital, Glen Oaks, NY, USA
- Department of Psychiatry and Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
| | - Marco Solmi
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
- The Ottawa Hospital, Mental Health Department, Ottawa, ON, Canada
- Ottawa Hospital Research Institute (OHRI) Clinical Epidemiology Program University of Ottawa, Ottawa, ON, Canada
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
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19
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Passiatore R, Antonucci LA, DeRamus TP, Fazio L, Stolfa G, Sportelli L, Kikidis GC, Blasi G, Chen Q, Dukart J, Goldman AL, Mattay VS, Popolizio T, Rampino A, Sambataro F, Selvaggi P, Ulrich W, Weinberger DR, Bertolino A, Calhoun VD, Pergola G. Changes in patterns of age-related network connectivity are associated with risk for schizophrenia. Proc Natl Acad Sci U S A 2023; 120:e2221533120. [PMID: 37527347 PMCID: PMC10410767 DOI: 10.1073/pnas.2221533120] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 05/24/2023] [Indexed: 08/03/2023] Open
Abstract
Alterations in fMRI-based brain functional network connectivity (FNC) are associated with schizophrenia (SCZ) and the genetic risk or subthreshold clinical symptoms preceding the onset of SCZ, which often occurs in early adulthood. Thus, age-sensitive FNC changes may be relevant to SCZ risk-related FNC. We used independent component analysis to estimate FNC from childhood to adulthood in 9,236 individuals. To capture individual brain features more accurately than single-session fMRI, we studied an average of three fMRI scans per individual. To identify potential familial risk-related FNC changes, we compared age-related FNC in first-degree relatives of SCZ patients mostly including unaffected siblings (SIB) with neurotypical controls (NC) at the same age stage. Then, we examined how polygenic risk scores for SCZ influenced risk-related FNC patterns. Finally, we investigated the same risk-related FNC patterns in adult SCZ patients (oSCZ) and young individuals with subclinical psychotic symptoms (PSY). Age-sensitive risk-related FNC patterns emerge during adolescence and early adulthood, but not before. Young SIB always followed older NC patterns, with decreased FNC in a cerebellar-occipitoparietal circuit and increased FNC in two prefrontal-sensorimotor circuits when compared to young NC. Two of these FNC alterations were also found in oSCZ, with one exhibiting reversed pattern. All were linked to polygenic risk for SCZ in unrelated individuals (R2 varied from 0.02 to 0.05). Young PSY showed FNC alterations in the same direction as SIB when compared to NC. These results suggest that age-related neurotypical FNC correlates with genetic risk for SCZ and is detectable with MRI in young participants.
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Affiliation(s)
- Roberta Passiatore
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, 70124Bari, Italy
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, and Emory University, 30303Atlanta, GA
- Institute of Neuroscience and Medicine, Brain and Behavior, Research Centre Jülich, 52428Jülich, Germany
| | - Linda A. Antonucci
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, 70124Bari, Italy
| | - Thomas P. DeRamus
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, and Emory University, 30303Atlanta, GA
| | - Leonardo Fazio
- Department of Medicine and Surgery, Libera Università Mediterranea Giuseppe Degennaro, 70010Casamassima, Italy
| | - Giuseppe Stolfa
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, 70124Bari, Italy
| | - Leonardo Sportelli
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, 70124Bari, Italy
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 21205Baltimore, MD
| | - Gianluca C. Kikidis
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, 70124Bari, Italy
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 21205Baltimore, MD
| | - Giuseppe Blasi
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, 70124Bari, Italy
- Psychiatric Unit, University Hospital, 70124Bari, Italy
| | - Qiang Chen
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 21205Baltimore, MD
| | - Juergen Dukart
- Institute of Neuroscience and Medicine, Brain and Behavior, Research Centre Jülich, 52428Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, 40225Düsseldorf, Germany
| | - Aaron L. Goldman
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 21205Baltimore, MD
| | - Venkata S. Mattay
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 21205Baltimore, MD
- Department of Neurology and Radiology, Johns Hopkins Medical Campus, 21287Baltimore, MD
| | - Teresa Popolizio
- Neuroradiology Unit, Scientific Institute for Research, Hospitalization and Health Care, Casa Sollievo della Sofferenza, 71013San Giovanni Rotondo, Foggia, Italy
| | - Antonio Rampino
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, 70124Bari, Italy
- Psychiatric Unit, University Hospital, 70124Bari, Italy
| | - Fabio Sambataro
- Section of Psychiatry, Department of Neuroscience, University of Padova, 35121Padua, Italy
| | - Pierluigi Selvaggi
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, 70124Bari, Italy
- Psychiatric Unit, University Hospital, 70124Bari, Italy
| | - William Ulrich
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 21205Baltimore, MD
| | - Apulian Network on Risk for Psychosis
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, 70124Bari, Italy
- Department of Mental Health, Azienda Sanitaria Locale Foggia, 71121Foggia, Italy
- Department of Clinical and Experimental Medicine, University of Foggia, 71122Foggia, Italy
- Department of Mental Health, Azienda Sanitaria Locale Barletta-Andria-Trani, 76123Andria, Italy
- Department of Mental Health, Azienda Sanitaria Locale Bari, 70132Bari, Italy
- Department of Mental Health, Azienda Sanitaria Locale Brindisi, 72100Brindisi, Italy
| | - Daniel R. Weinberger
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 21205Baltimore, MD
- Department of Neurology and Radiology, Johns Hopkins Medical Campus, 21287Baltimore, MD
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 21205Baltimore, MD
- Department of Neuroscience, Johns Hopkins University School of Medicine, 21287Baltimore, MD
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, 21287Baltimore, MD
| | - Alessandro Bertolino
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, 70124Bari, Italy
- Psychiatric Unit, University Hospital, 70124Bari, Italy
| | - Vince D. Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, and Emory University, 30303Atlanta, GA
| | - Giulio Pergola
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, 70124Bari, Italy
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 21205Baltimore, MD
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 21205Baltimore, MD
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20
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Cattarinussi G, Gugliotta AA, Sambataro F. The Risk for Schizophrenia-Bipolar Spectrum: Does the Apple Fall Close to the Tree? A Narrative Review. Int J Environ Res Public Health 2023; 20:6540. [PMID: 37569080 PMCID: PMC10418911 DOI: 10.3390/ijerph20156540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 07/24/2023] [Accepted: 08/04/2023] [Indexed: 08/13/2023]
Abstract
Schizophrenia (SCZ) and bipolar disorder (BD) are severe psychiatric disorders that share clinical features and several risk genes. Important information about their genetic underpinnings arises from intermediate phenotypes (IPs), quantifiable biological traits that are more prevalent in unaffected relatives (RELs) of patients compared to the general population and co-segregate with the disorders. Within IPs, neuropsychological functions and neuroimaging measures have the potential to provide useful insight into the pathophysiology of SCZ and BD. In this context, the present narrative review provides a comprehensive overview of the available evidence on deficits in neuropsychological functions and neuroimaging alterations in unaffected relatives of SCZ (SCZ-RELs) and BD (BD-RELs). Overall, deficits in cognitive functions including intelligence, memory, attention, executive functions, and social cognition could be considered IPs for SCZ. Although the picture for cognitive alterations in BD-RELs is less defined, BD-RELs seem to present worse performances compared to controls in executive functioning, including adaptable thinking, planning, self-monitoring, self-control, and working memory. Among neuroimaging markers, SCZ-RELs appear to be characterized by structural and functional alterations in the cortico-striatal-thalamic network, while BD risk seems to be associated with abnormalities in the prefrontal, temporal, thalamic, and limbic regions. In conclusion, SCZ-RELs and BD-RELs present a pattern of cognitive and neuroimaging alterations that lie between patients and healthy individuals. Similar abnormalities in SCZ-RELs and BD-RELs may be the phenotypic expression of the shared genetic mechanisms underlying both disorders, while the specificities in neuropsychological and neuroimaging profiles may be associated with the differential symptom expression in the two disorders.
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Affiliation(s)
- Giulia Cattarinussi
- Department of Neuroscience (DNS), University of Padova, 35131 Padova, Italy; (G.C.); (A.A.G.)
- Padova Neuroscience Center, University of Padova, 35131 Padova, Italy
| | - Alessio A. Gugliotta
- Department of Neuroscience (DNS), University of Padova, 35131 Padova, Italy; (G.C.); (A.A.G.)
| | - Fabio Sambataro
- Department of Neuroscience (DNS), University of Padova, 35131 Padova, Italy; (G.C.); (A.A.G.)
- Padova Neuroscience Center, University of Padova, 35131 Padova, Italy
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21
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Miola A, Trevisan N, Salvucci M, Minerva M, Valeggia S, Manara R, Sambataro F. Network dysfunction of sadness facial expression processing and morphometry in euthymic bipolar disorder. Eur Arch Psychiatry Clin Neurosci 2023:10.1007/s00406-023-01649-z. [PMID: 37498325 DOI: 10.1007/s00406-023-01649-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Accepted: 07/07/2023] [Indexed: 07/28/2023]
Abstract
Facial emotion recognition (FER), including sadness, is altered in bipolar disorder (BD). However, the relationship between this impairment and the brain structure in BD is relatively unexplored. Furthermore, its association with clinical variables and with the subtypes of BD remains to be clarified. Twenty euthymic patients with BD type I (BD-I), 28 BD type II (BD-II), and 45 healthy controls completed a FER test and a 3D-T1-weighted magnetic resonance imaging. Gray matter volume (GMV) of the cortico-limbic regions implicated in emotional processing was estimated and their relationship with FER performance was investigated using network analysis. Patients with BD-I had worse total and sadness-related FER performance relative to the other groups. Total FER performance was significantly negatively associated with illness duration and positively associated with global functioning in patients with BD-I. Sadness-related FER performance was also significantly negatively associated with the number of previous manic episodes. Network analysis showed a reduced association of the GMV of the frontal-insular-occipital areas in patients with BD-I, with a greater edge strength between sadness-related FER performance and amygdala GMV relative to controls. Our results suggest that FER performance, particularly for facial sadness, may be distinctively impaired in patients with BD-I. The pattern of reduced interrelationship in the frontal-insular-occipital regions and a stronger positive relationship between facial sadness recognition and the amygdala GMV in BD may reflect altered cortical modulation of limbic structures that ultimately predisposes to emotional dysregulation. Future longitudinal studies investigating the effect of mood state on FER performance in BD are warranted.
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Affiliation(s)
- Alessandro Miola
- Department of Neuroscience (DNS), University of Padova, Via Giustiniani 5, Padua, Italy
| | - Nicolò Trevisan
- Department of Neuroscience (DNS), University of Padova, Via Giustiniani 5, Padua, Italy
| | - Margherita Salvucci
- Department of Neuroscience (DNS), University of Padova, Via Giustiniani 5, Padua, Italy
| | - Matteo Minerva
- Department of Neuroscience (DNS), University of Padova, Via Giustiniani 5, Padua, Italy
| | - Silvia Valeggia
- Department of Neuroscience (DNS), University of Padova, Via Giustiniani 5, Padua, Italy
| | - Renzo Manara
- Department of Neuroscience (DNS), University of Padova, Via Giustiniani 5, Padua, Italy
- Padova Neuroscience Center, University of Padova, Padua, Italy
| | - Fabio Sambataro
- Department of Neuroscience (DNS), University of Padova, Via Giustiniani 5, Padua, Italy.
- Padova Neuroscience Center, University of Padova, Padua, Italy.
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Shamabadi A, Karimi H, Cattarinussi G, Moghaddam HS, Akhondzadeh S, Sambataro F, Schiena G, Delvecchio G. Neuroimaging Correlates of Treatment Response to Transcranial Magnetic Stimulation in Bipolar Depression: A Systematic Review. Brain Sci 2023; 13:brainsci13050801. [PMID: 37239273 DOI: 10.3390/brainsci13050801] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 05/10/2023] [Accepted: 05/10/2023] [Indexed: 05/28/2023] Open
Abstract
Transcranial magnetic stimulation (TMS) has become a promising strategy for bipolar disorder (BD). This study reviews neuroimaging findings, indicating functional, structural, and metabolic brain changes associated with TMS in BD. Web of Science, Embase, Medline, and Google Scholar were searched without any restrictions for studies investigating neuroimaging biomarkers, through structural magnetic resonance imaging (MRI), diffusion tensor imaging (DTI), functional MRI (fMRI), magnetic resonance spectroscopy (MRS), positron emission tomography (PET), and single photon emission computed tomography (SPECT), in association with response to TMS in patients with BD. Eleven studies were included (fMRI = 4, MRI = 1, PET = 3, SPECT = 2, and MRS = 1). Important fMRI predictors of response to repetitive TMS (rTMS) included higher connectivity of emotion regulation and executive control regions. Prominent MRI predictors included lower ventromedial prefrontal cortex connectivity and lower superior frontal and caudal middle frontal volumes. SPECT studies found hypoconnectivity of the uncus/parahippocampal cortex and right thalamus in non-responders. The post-rTMS changes using fMRI mostly showed increased connectivity among the areas neighboring the coil. Increased blood perfusion was reported post-rTMS in PET and SPECT studies. Treatment response comparison between unipolar depression and BD revealed almost equal responses. Neuroimaging evidence suggests various correlates of response to rTMS in BD, which needs to be further replicated in future studies.
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Affiliation(s)
- Ahmad Shamabadi
- Psychiatric Research Center, Roozbeh Psychiatric Hospital, Tehran University of Medical Sciences, Tehran M9HV+R6Q, Iran
- School of Medicine, Tehran University of Medical Sciences, Tehran P94V+8MF, Iran
| | - Hanie Karimi
- Psychiatric Research Center, Roozbeh Psychiatric Hospital, Tehran University of Medical Sciences, Tehran M9HV+R6Q, Iran
- School of Medicine, Tehran University of Medical Sciences, Tehran P94V+8MF, Iran
| | - Giulia Cattarinussi
- Department of Neuroscience (DNS), Padua Neuroscience Center, University of Padova, 35131 Padua, Italy
| | - Hossein Sanjari Moghaddam
- Psychiatric Research Center, Roozbeh Psychiatric Hospital, Tehran University of Medical Sciences, Tehran M9HV+R6Q, Iran
| | - Shahin Akhondzadeh
- Psychiatric Research Center, Roozbeh Psychiatric Hospital, Tehran University of Medical Sciences, Tehran M9HV+R6Q, Iran
| | - Fabio Sambataro
- Department of Neuroscience (DNS), Padua Neuroscience Center, University of Padova, 35131 Padua, Italy
| | - Giandomenico Schiena
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Giuseppe Delvecchio
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
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23
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Simonetti A, Luciano M, Sampogna G, Rocca BD, Mancuso E, De Fazio P, Di Nicola M, Di Lorenzo G, Pepe M, Sambataro F, Signorelli MS, Koukopoulos AE, Chiaie RD, Fiorillo A, Sani G. Effect of affective temperament on illness characteristics of subjects with bipolar disorder and major depressive disorder. J Affect Disord 2023; 334:227-237. [PMID: 37156280 DOI: 10.1016/j.jad.2023.04.130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 03/18/2023] [Accepted: 04/29/2023] [Indexed: 05/10/2023]
Abstract
BACKGROUND Affective temperaments represent the stable, biologically determined substrates of mood disorders. The relationship between affective temperaments and bipolar disorder (BD) or major depressive disorder (MDD) has been described. However, the strength of such relationship should be tested while considering other factors influencing the diagnosis of BD/MDD. Literature also lacks a comprehensive description of the interplay between affective temperament and characteristics of mood disorders. The aim of the present study is to address these issues. METHODS This is a multicentric observational study including 7 Italian university sites. Five-hundred-fifty-five euthymic subjects with BD/MDD were enrolled and further divided in those with hyperthymic (Hyper, N = 143), cyclothymic (Cyclo, N = 133), irritable (Irr, N = 49), dysthymic (Dysth, N = 155), and anxious (Anx N = 76) temperaments. Linear, binary, ordinal and logistic regressions were performed to assess the association between affective temperaments and i) diagnosis of BD/MDD; ii) characteristics of illness severity and course. RESULTS Hyper, Cyclo and Irr were more likely to be associated with BD, together with earlier age of onset and presence of a first-degree relative with BD. Anx and Dysth were more associated with MDD. Differences in association between affective temperaments and characteristics of BD/MDD were observed for hospital admissions, phase-related psychotic symptoms, length and type of depression, comorbidity and pharmacological intake. LIMITATIONS Small sample size, cross-sectional design, recall biases. CONCLUSION Specific affective temperaments were associated to certain characteristics of illness severity and course of BD or MDD. Evaluation of affective temperaments might help a deeper understanding of mood disorders.
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Affiliation(s)
- Alessio Simonetti
- Department of Neuroscience, Section of Psychiatry, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy
| | - Mario Luciano
- Department of Psychiatry, University of Campania Luigi Vanvitelli, 80138 Naples, Italy
| | - Gaia Sampogna
- Department of Psychiatry, University of Campania Luigi Vanvitelli, 80138 Naples, Italy
| | - Bianca Della Rocca
- Department of Psychiatry, University of Campania Luigi Vanvitelli, 80138 Naples, Italy
| | - Emiliana Mancuso
- Department of Psychiatry, University of Campania Luigi Vanvitelli, 80138 Naples, Italy
| | - Pasquale De Fazio
- Department of Health Sciences, University Magna Graecia of Catanzaro, 88100 Catanzaro, Italy
| | - Marco Di Nicola
- Department of Neuroscience, Section of Psychiatry, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy; Department of Neuroscience, Section of Psychiatry, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Giorgio Di Lorenzo
- Department of Systems Medicine, University of Rome Tor Vergata, 00133 Rome, Italy
| | - Maria Pepe
- Department of Neuroscience, Section of Psychiatry, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy; Department of Neuroscience, Section of Psychiatry, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Fabio Sambataro
- Department of Neuroscience, University of Padova, 35121 Padua, Italy
| | - Maria Salvina Signorelli
- Psychiatry Unit, Department of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy
| | | | | | - Andrea Fiorillo
- Department of Psychiatry, University of Campania Luigi Vanvitelli, 80138 Naples, Italy
| | - Gabriele Sani
- Department of Neuroscience, Section of Psychiatry, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy; Department of Neuroscience, Section of Psychiatry, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.
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24
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Seyedmirzaei H, Katebian S, Pourkand D, Cattarinussi G, Sambataro F, Brambilla P, Delvecchio G. Effects of COVID-19 pandemic on depression in patients with schizophrenia: A mini-review of the current evidence. J Affect Disord 2023; 332:143-149. [PMID: 37003432 PMCID: PMC10063456 DOI: 10.1016/j.jad.2023.03.087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 03/14/2023] [Accepted: 03/20/2023] [Indexed: 04/03/2023]
Abstract
BACKGROUND Since the emergence of COVID-19, there have been concerns about the psychological effects of the pandemic on people's mental health around the world. People with psychotic disorders like schizophrenia (SCZ) may be more prone to develop mood disorders during the lockdowns due to their limited access to healthcare, reduced social support, and probable cognitive impairment. METHODS We conducted a systematic search on PubMed and Scopus to explore the effects of the pandemic on depressive symptoms in individuals with SCZ. A total of 12 studies were included. RESULTS Overall, studies suggested higher depression rates in patients with SCZ compared to healthy controls. Isolation due to the COVID-19 infection emerged as a risk factor for the development of depressive symptoms. However, results regarding the longitudinal changes of depression in SCZ patients during the lockdowns were inconsistent. LIMITATIONS The small sample sizes of studies, different depression scales and stages of the lockdowns, as well as the different government policies and restriction levels across the countries limit the conclusions of the present review. CONCLUSIONS Our review suggests an increased probability of depression in patients with SCZ during the pandemic. Identifying the risk factors for developing depression in this population helps find new, suitable approaches to address patients' needs and lower the adverse psychological effects of the pandemic.
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Affiliation(s)
- Homa Seyedmirzaei
- School of Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Saba Katebian
- School of Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Donya Pourkand
- School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Giulia Cattarinussi
- Department of Neuroscience (DNS), University of Padova, Padua, Italy; Padova Neuroscience Center, University of Padova, Padua, Italy
| | - Fabio Sambataro
- Department of Neuroscience (DNS), University of Padova, Padua, Italy; Padova Neuroscience Center, University of Padova, Padua, Italy
| | - Paolo Brambilla
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy; Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Giuseppe Delvecchio
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.
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25
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Henemann GM, Schmitgen MM, Wolf ND, Hirjak D, Kubera KM, Sambataro F, Bach P, Koenig J, Wolf RC. Cognitive domain-independent aberrant frontoparietal network strength in individuals with excessive smartphone use. Psychiatry Res Neuroimaging 2023; 329:111593. [PMID: 36724625 DOI: 10.1016/j.pscychresns.2023.111593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 11/30/2022] [Accepted: 01/12/2023] [Indexed: 01/15/2023]
Abstract
Excessive smartphone use (ESU) may fulfill criteria for addictive behavior. In contrast to other related behavioral addictions, particularly Internet Gaming Disorder, little is known about the neural correlates underlying ESU. In this study, we used functional magnetic resonance imaging (fMRI) to acquire task data from three distinct behavioral paradigms, i.e. cue-reactivity, inhibition, and working memory, in individuals with psychometrically defined ESU (n = 19) compared to controls (n-ESU; n = 20). The Smartphone Addiction Inventory (SPAI) was used to quantify ESU-severity according to a novel five-factor model (SPAI-I). A multivariate data fusion approach, i.e. joint Independent Component Analysis (jICA) was employed to analyze fMRI-data derived from three separate experimental conditions, but analyzed jointly to detect converging and domain-independent neural signatures that differ between persons with vs. those without ESU. Across the three functional tasks, jICA identified a predominantly frontoparietal system that showed lower network strength in individuals with ESU compared to n-ESU (p < 0.05 FDR-corrected). Furthermore, significant associations between frontoparietal network strength and SPAI-I's dimensions "time spent" and "craving" were found. The data suggest a frontoparietal cognitive control network as cognitive domain-independent neural signature of excessive and potentially addictive smartphone use.
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Affiliation(s)
- Gudrun M Henemann
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Germany
| | - Mike M Schmitgen
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Germany
| | - Nadine D Wolf
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Germany
| | - Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Katharina M Kubera
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Germany
| | - Fabio Sambataro
- Department of Neurosciences, Padua Neuroscience Center, University of Padova, Padua, Italy
| | - Patrick Bach
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Julian Koenig
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Cologne, Germany
| | - Robert Christian Wolf
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Germany.
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26
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Trevisan N, Di Camillo F, Ghiotto N, Cattarinussi G, Sala M, Sambataro F. The complexity of cortical folding is reduced in chronic cocaine users. Addict Biol 2023; 28:e13268. [PMID: 36825487 PMCID: PMC10078524 DOI: 10.1111/adb.13268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 12/16/2022] [Accepted: 01/09/2023] [Indexed: 02/04/2023]
Abstract
Cocaine use is a worldwide health problem with psychiatric, somatic and socioeconomic complications, being the second most widely used illicit drug in the world. Despite several structural neuroimaging studies, the alterations in cortical morphology associated with cocaine use and addiction are still poorly understood. In this study, we compared the complexity of cortical folding (CCF), a measure that aims to summarize the convoluted structure of the cortex between patients with cocaine addiction (n = 52) and controls (n = 36), and correlated it with characteristics of addiction and impulsivity. We found that patients with cocaine addiction had greater impulsivity and showed reduced CCF in a cluster that encompassed the left insula and the supramarginal gyrus (SMG) and in one in the left medial orbitofrontal cortex. Finally, the CCF in the left medial orbitofrontal cortex was correlated with the age of onset of cocaine addiction and with attentional impulsivity. Overall, our findings suggest that chronic cocaine use is associated with changes in the cortical surface in the fronto-parieto-limbic regions that underlie emotional regulation and these changes are associated with earlier cocaine use. Future longitudinal studies are warranted to unravel the association of these changes with the diathesis for the disorder and with the chronic use of this substance.
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Affiliation(s)
- Nicolò Trevisan
- Department of Neuroscience (DNS), University of Padova, Padua, Italy.,Padova Neuroscience Center, University of Padova, Padua, Italy
| | - Fabio Di Camillo
- Department of Neuroscience (DNS), University of Padova, Padua, Italy
| | - Niccolò Ghiotto
- Department of Neuroscience (DNS), University of Padova, Padua, Italy
| | - Giulia Cattarinussi
- Department of Neuroscience (DNS), University of Padova, Padua, Italy.,Padova Neuroscience Center, University of Padova, Padua, Italy
| | - Maddalena Sala
- Department of Neuroscience (DNS), University of Padova, Padua, Italy
| | - Fabio Sambataro
- Department of Neuroscience (DNS), University of Padova, Padua, Italy.,Padova Neuroscience Center, University of Padova, Padua, Italy
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27
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Pigato G, Rosson S, Bresolin N, Toffanin T, Sambataro F, Olivo D, Perini G, Causin F, Denaro L, Landi A, D'Avella D. Vagus Nerve Stimulation in Treatment-Resistant Depression: A Case Series of Long-Term Follow-up. J ECT 2023; 39:23-27. [PMID: 35815853 DOI: 10.1097/yct.0000000000000869] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVES Vagus nerve stimulation (VNS) has been shown to be effective for treatment-resistant depression (TRD). However, long-term (>5 years) studies on the efficacy and tolerability of this treatment have been lacking. Here, we report a long-term clinical follow-up of 5 patients with severe and long-standing TRD, who received a VNS implant. METHODS Of the initial 6 patients with TRD implanted with VNS at our center, 5 of them were followed for 6 to 12 years after implantation. Primary efficacy outcomes were clinical response and improved functioning at follow-up visits. The primary safety outcome was all-cause discontinuation, and the secondary safety outcomes were the number and the severity of adverse events. RESULTS The VNS implant was associated with a sustained response (>10 years) in terms of clinical response and social, occupational, and psychological functioning in 3 patients. Two patients dropped out after 6 and 7 years of treatment, respectively. Vagus nerve stimulation was well tolerated by all patients, who reported only mild adverse effects. One patient, who discontinued concomitant drug treatment, had a hypomanic episode in the 10th year of treatment. The parameters of the VNS device were fine-tuned when life stressors or symptom exacerbation occurred. CONCLUSIONS Our case series showed that VNS can have long-term and durable effectiveness in patients with severe multiepisode chronic depression, and this could be associated with its neuroplastic effects in the hippocampus. In light of good general tolerability, our findings support VNS as a viable treatment option for TRD.
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Affiliation(s)
| | | | | | - Tommaso Toffanin
- Department of Neuroscience and Rehabilitation, Institute of Psychiatry, University of Ferrara, Ferrara
| | | | - Daniele Olivo
- Department of Neuroscience, University of Padova, Padua
| | | | | | - Luca Denaro
- Department of Neuroscience, University of Padova, Padua
| | - Andrea Landi
- Department of Neuroscience, University of Padova, Padua
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28
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Miola A, Caiolo S, Pontoni G, Pozzan E, Moriglia C, Simionato F, Garofalo S, Perini G, Sambataro F. Anxiety and Depression during the Second Wave of the COVID-19 Pandemic: The Role of Coping Strategies. Int J Environ Res Public Health 2023; 20:2974. [PMID: 36833670 PMCID: PMC9957361 DOI: 10.3390/ijerph20042974] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 01/30/2023] [Accepted: 02/03/2023] [Indexed: 06/01/2023]
Abstract
BACKGROUND Evidence suggests increased anxious-depressive symptoms in the general population during the COVID-19 pandemic, also in its second wave. High symptom variability across individuals suggests that risk and protective factors, including coping strategies, can play a mediating role. METHODS General Anxiety Disorder-7, Patient Health Questionnaire-9, and Brief-COPE questionnaires were administered to people attending a COVID-19 point-of-care. Univariate and multivariate methods were used to test the association of symptoms with risk and protective factors. RESULTS A total of 3509 participants (27.5% with moderate-severe anxiety; 12% with depressive symptoms) were recruited. Sociodemographic and lifestyle factors, including age, sex, sleep, physical activity, psychiatric treatments, parenthood, employment, and religiosity were associated with affective symptoms. Avoidant (self-distraction, venting, behavioral disengagement) and approach (emotional support, self-blame but not positive reframing and acceptance) coping strategies predicted greater anxiety. Avoidant strategies, including venting, denial, behavioral disengagement, substance use, and self-blame, and the humor strategy were associated with more severe depressive symptoms, while the planning predicted the opposite. CONCLUSIONS Coping strategies, in addition to socio-demographic and life-habit factors, could have contributed to modulating anxious and depressive symptoms during the second-wave of the COVID-19 pandemic, thus advocating for interventions aimed at promoting positive coping strategies to reduce the psychosocial toll of the pandemic.
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Affiliation(s)
- Alessandro Miola
- Department of Neuroscience (DNS), Padua Neuroscience Center, University of Padova, 35127 Padua, Italy
- Medicine Faculty, University of Padova, 35127 Padua, Italy
- Casa di Cura Parco dei Tigli, 35037 Teolo, Italy
| | - Stefano Caiolo
- Medicine Faculty, University of Padova, 35127 Padua, Italy
- Psychiatry Section, Military Department of Forensic Medicine, 35137 Padua, Italy
| | - Giancarlo Pontoni
- Psychiatry Section, Psychophysiological Selection Office, Italian Army National Recruitment and Selection Center, 06034 Foligno, Italy
| | - Erica Pozzan
- Medicine Faculty, University of Padova, 35127 Padua, Italy
| | - Chiara Moriglia
- Psyops Development Center, 28th (APICE) Regiment “Pavia”, 61121 Pesaro, Italy
| | | | - Sergio Garofalo
- Psychiatry Section, Military Department of Forensic Medicine, 35137 Padua, Italy
| | - Giulia Perini
- Department of Neuroscience (DNS), Padua Neuroscience Center, University of Padova, 35127 Padua, Italy
- Medicine Faculty, University of Padova, 35127 Padua, Italy
- Casa di Cura Parco dei Tigli, 35037 Teolo, Italy
| | - Fabio Sambataro
- Department of Neuroscience (DNS), Padua Neuroscience Center, University of Padova, 35127 Padua, Italy
- Medicine Faculty, University of Padova, 35127 Padua, Italy
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29
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Prakasam R, Bonadiman A, Andreotti R, Zuccaro E, Dalfovo D, Marchioretti C, Tripathy D, Petris G, Anderson EN, Migazzi A, Tosatto L, Cereseto A, Battaglioli E, Sorarù G, Lim WF, Rinaldi C, Sambataro F, Pourshafie N, Grunseich C, Romanel A, Pandey UB, Contestabile A, Ronzitti G, Basso M, Pennuto M. LSD1/PRMT6-targeting gene therapy to attenuate androgen receptor toxic gain-of-function ameliorates spinobulbar muscular atrophy phenotypes in flies and mice. Nat Commun 2023; 14:603. [PMID: 36746939 PMCID: PMC9902531 DOI: 10.1038/s41467-023-36186-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 01/19/2023] [Indexed: 02/08/2023] Open
Abstract
Spinobulbar muscular atrophy (SBMA) is caused by CAG expansions in the androgen receptor gene. Androgen binding to polyQ-expanded androgen receptor triggers SBMA through a combination of toxic gain-of-function and loss-of-function mechanisms. Leveraging cell lines, mice, and patient-derived specimens, we show that androgen receptor co-regulators lysine-specific demethylase 1 (LSD1) and protein arginine methyltransferase 6 (PRMT6) are overexpressed in an androgen-dependent manner specifically in the skeletal muscle of SBMA patients and mice. LSD1 and PRMT6 cooperatively and synergistically transactivate androgen receptor, and their effect is enhanced by expanded polyQ. Pharmacological and genetic silencing of LSD1 and PRMT6 attenuates polyQ-expanded androgen receptor transactivation in SBMA cells and suppresses toxicity in SBMA flies, and a preclinical approach based on miRNA-mediated silencing of LSD1 and PRMT6 attenuates disease manifestations in SBMA mice. These observations suggest that targeting overexpressed co-regulators can attenuate androgen receptor toxic gain-of-function without exacerbating loss-of-function, highlighting a potential therapeutic strategy for patients with SBMA.
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Affiliation(s)
- Ramachandran Prakasam
- Dulbecco Telethon Institute at the Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy
| | - Angela Bonadiman
- Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy
| | - Roberta Andreotti
- Department of Biomedical Sciences, University of Padova, Padova, Italy.,Veneto Institute of Molecular Medicine, Padova, Italy.,Padova Neuroscience Center, Padova, Italy
| | - Emanuela Zuccaro
- Department of Biomedical Sciences, University of Padova, Padova, Italy.,Veneto Institute of Molecular Medicine, Padova, Italy.,Padova Neuroscience Center, Padova, Italy
| | - Davide Dalfovo
- Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy
| | - Caterina Marchioretti
- Department of Biomedical Sciences, University of Padova, Padova, Italy.,Veneto Institute of Molecular Medicine, Padova, Italy.,Padova Neuroscience Center, Padova, Italy
| | - Debasmita Tripathy
- Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy
| | - Gianluca Petris
- Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.,Medical Research Council Laboratory of Molecular Biology, Cambridge, UK.,Wellcome Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Saffron Walden, UK
| | - Eric N Anderson
- Department of Pediatrics, Children's Hospital of Pittsburgh, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Alice Migazzi
- Dulbecco Telethon Institute at the Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.,Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy
| | - Laura Tosatto
- Dulbecco Telethon Institute at the Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy
| | - Anna Cereseto
- Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy
| | - Elena Battaglioli
- Department of Medical Biotechnology and Translational Medicine, University of Milan, Milan, Italy
| | - Gianni Sorarù
- Padova Neuroscience Center, Padova, Italy.,Department of Neuroscience, University of Padova, Padova, Italy
| | - Wooi Fang Lim
- MDUK Oxford Neuromuscular Centre, University of Oxford, Oxford, UK.,Institute of Developmental and Regenerative Medicine, Department of Paediatrics, University of Oxford, Oxford, UK
| | - Carlo Rinaldi
- MDUK Oxford Neuromuscular Centre, University of Oxford, Oxford, UK.,Institute of Developmental and Regenerative Medicine, Department of Paediatrics, University of Oxford, Oxford, UK
| | - Fabio Sambataro
- Padova Neuroscience Center, Padova, Italy.,Department of Neuroscience, University of Padova, Padova, Italy
| | - Naemeh Pourshafie
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Christopher Grunseich
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Alessandro Romanel
- Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy
| | - Udai Bhan Pandey
- Department of Pediatrics, Children's Hospital of Pittsburgh, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | | | - Giuseppe Ronzitti
- Université Paris-Saclay, Univ Evry, Inserm, Genethon, Evry, France.,Genethon, 91000, Evry, France
| | - Manuela Basso
- Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.
| | - Maria Pennuto
- Dulbecco Telethon Institute at the Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy. .,Department of Biomedical Sciences, University of Padova, Padova, Italy. .,Veneto Institute of Molecular Medicine, Padova, Italy. .,Padova Neuroscience Center, Padova, Italy.
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30
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Sinaeifar Z, Mayeli M, Shafie M, Pooyan A, Cattarinussi G, Aarabi MH, Sambataro F. Trait anger representation in microstructural white matter tracts: A diffusion MRI study. J Affect Disord 2023; 322:249-257. [PMID: 36368424 DOI: 10.1016/j.jad.2022.11.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 08/31/2022] [Accepted: 11/06/2022] [Indexed: 11/09/2022]
Abstract
BACKGROUND Understanding the microstructure of the brain that underlies emotions is of pivotal importance for psychology and psychiatry. Herein, we investigated white matter (WM) tracts associated with anger using the diffusion magnetic resonance imaging (DMRI) connectometry approach while exploring potential sex differences. METHODS 225 healthy participants from the LEMON database were evaluated using the State-Trait Anger Expression Inventory (STAXI). WM images were prepared and analyzed with DMRI. Multiple regression models were fitted to address the correlation of local connectomes with STAXI components with age and handedness as covariates. RESULTS There were no statistically significant differences in state anger and trait anger between males and females (p = 0.55 and 0.30, respectively). DMRI connectometry revealed that quantitative anisotropy (QA) values in the bilateral corticospinal tract (CST), splenium of corpus callosum (SCC), middle cerebellar peduncle, left inferior cerebellar peduncle, left cingulum, and left fornix were negatively correlated with trait anger and trait anger temperament (TAT) in males. In contrast, the QA values in the bilateral CST and SCC showed a positive correlation with trait anger and TAT in females, which, however, did not reach statistical significance. LIMITATIONS The cross-sectional design and self-reported measures of anger limit the generalizability of our results. CONCLUSIONS This is the first DMRI connectometry study to investigate WM circuits involved in anger. We found that the pathways associated with the limbic system and movement-related regions were involved in trait anger and anger expression in men, while no brain pathways showed a significant relationship with anger in women.
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Affiliation(s)
- Zeinab Sinaeifar
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahsa Mayeli
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran; NeuroTRACT Association, Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahdieh Shafie
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Atefe Pooyan
- Department of Radiology, University of Washington, Seattle, USA
| | - Giulia Cattarinussi
- Department of Neuroscience (DNS), University of Padova, Padua, Italy; Padova Neuroscience Center, University of Padova, Padua, Italy
| | - Mohammad Hadi Aarabi
- Department of Neuroscience (DNS), University of Padova, Padua, Italy; Padova Neuroscience Center, University of Padova, Padua, Italy
| | - Fabio Sambataro
- Department of Neuroscience (DNS), University of Padova, Padua, Italy; Padova Neuroscience Center, University of Padova, Padua, Italy.
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31
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Miola A, Meda N, Perini G, Sambataro F. Structural and functional features of treatment-resistant depression: A systematic review and exploratory coordinate-based meta-analysis of neuroimaging studies. Psychiatry Clin Neurosci 2023; 77:252-263. [PMID: 36641802 DOI: 10.1111/pcn.13530] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 01/08/2023] [Accepted: 01/10/2023] [Indexed: 01/16/2023]
Abstract
OBJECTIVES A third of people suffering from major depressive disorder do not experience a significant improvement in their symptoms even after adequate treatment with two different antidepressant medications. This common condition, termed treatment-resistant depression (TRD), severely affects the quality of life of millions of people worldwide, causing long-lasting interpersonal problems and social costs. Given its epidemiological and clinical relevance and the little consensus on whether the neurobiological underpinnings of TRD differ from treatment-sensitive depression (TSD), we sought to highlight the convergent morphometric and functional neuroimaging correlates of TRD. METHODS We systematically reviewed the published literature on structural and resting-state functional neuroimaging of TRD compared to TSD and healthy controls (HC) and performed exploratory coordinate-based meta-analyses (CBMA) of significant results separately for each modality and multimodally ("all-effects"). CBMAs were also performed for each direction and combining both directions of group contrasts. RESULTS Out of the initial 1929 studies, only eight involving 555 participants (189 patients with TRD, 156 with TSD, and 210 HC) were included. In all-effects CBMA, precentral/superior frontal gyrus showed a significant difference between TRD and HC. Functional and structural imaging meta-analyses did not yield statistically significant results. A marginally significant cluster of altered intrinsic activity was found between TRD and HC in the cerebellum/pons. CONCLUSIONS Frontal, cerebellar, and brainstem functions can be involved in the pathophysiology of TRD. However, the design and heterogeneity of the (scarce) published literature hinder the generalizability of the findings.
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Affiliation(s)
- Alessandro Miola
- Department of Neuroscience, University of Padova, Padova, Italy.,Padova Neuroscience Center, University of Padova, Padova, Italy.,Casa di Cura Parco dei Tigli, Padova, Italy
| | - Nicola Meda
- Department of Neuroscience, University of Padova, Padova, Italy
| | - Giulia Perini
- Department of Neuroscience, University of Padova, Padova, Italy.,Padova Neuroscience Center, University of Padova, Padova, Italy.,Casa di Cura Parco dei Tigli, Padova, Italy
| | - Fabio Sambataro
- Department of Neuroscience, University of Padova, Padova, Italy.,Padova Neuroscience Center, University of Padova, Padova, Italy.,Padova University Hospital, Padova, Italy
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32
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Piol D, Tosatto L, Zuccaro E, Anderson EN, Falconieri A, Polanco MJ, Marchioretti C, Lia F, White J, Bregolin E, Minervini G, Parodi S, Salvatella X, Arrigoni G, Ballabio A, La Spada AR, Tosatto SC, Sambataro F, Medina DL, Pandey UB, Basso M, Pennuto M. Antagonistic effect of cyclin-dependent kinases and a calcium-dependent phosphatase on polyglutamine-expanded androgen receptor toxic gain of function. Sci Adv 2023; 9:eade1694. [PMID: 36608116 PMCID: PMC9821870 DOI: 10.1126/sciadv.ade1694] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 12/05/2022] [Indexed: 06/17/2023]
Abstract
Spinal and bulbar muscular atrophy is caused by polyglutamine (polyQ) expansions in androgen receptor (AR), generating gain-of-function toxicity that may involve phosphorylation. Using cellular and animal models, we investigated what kinases and phosphatases target polyQ-expanded AR, whether polyQ expansions modify AR phosphorylation, and how this contributes to neurodegeneration. Mass spectrometry showed that polyQ expansions preserve native phosphorylation and increase phosphorylation at conserved sites controlling AR stability and transactivation. In small-molecule screening, we identified that CDC25/CDK2 signaling could enhance AR phosphorylation, and the calcium-sensitive phosphatase calcineurin had opposite effects. Pharmacologic and genetic manipulation of these kinases and phosphatases modified polyQ-expanded AR function and toxicity in cells, flies, and mice. Ablation of CDK2 reduced AR phosphorylation in the brainstem and restored expression of Myc and other genes involved in DNA damage, senescence, and apoptosis, indicating that the cell cycle-regulated kinase plays more than a bystander role in SBMA-vulnerable postmitotic cells.
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Affiliation(s)
- Diana Piol
- Department of Biomedical Sciences, University of Padova, Padova, Italy
- Veneto Institute of Molecular Medicine (VIMM), Padova, Italy
- Padova Neuroscience Center, Padova, Italy
- Dulbecco Telethon Institute (DTI), Department of Cellular, Computational, and Integrative Biology (CIBIO), University of Trento, Trento, Italy
| | - Laura Tosatto
- Dulbecco Telethon Institute (DTI), Department of Cellular, Computational, and Integrative Biology (CIBIO), University of Trento, Trento, Italy
- Institute of Biophysics, Consiglio Nazionale delle Ricerche (CNR), Trento, Italy
| | - Emanuela Zuccaro
- Department of Biomedical Sciences, University of Padova, Padova, Italy
- Veneto Institute of Molecular Medicine (VIMM), Padova, Italy
- Padova Neuroscience Center, Padova, Italy
| | - Eric N. Anderson
- Division of Child Neurology, Department of Pediatrics, Children’s Hospital of Pittsburgh, University of Pittsburgh Medical Center, Pittsburgh, PA 15224, USA
| | | | - Maria J. Polanco
- Dulbecco Telethon Institute (DTI), Department of Cellular, Computational, and Integrative Biology (CIBIO), University of Trento, Trento, Italy
| | - Caterina Marchioretti
- Department of Biomedical Sciences, University of Padova, Padova, Italy
- Veneto Institute of Molecular Medicine (VIMM), Padova, Italy
- Padova Neuroscience Center, Padova, Italy
| | - Federica Lia
- Department of Biomedical Sciences, University of Padova, Padova, Italy
- Veneto Institute of Molecular Medicine (VIMM), Padova, Italy
- Padova Neuroscience Center, Padova, Italy
| | - Joseph White
- Department of Pathology and Laboratory Medicine, Department of Neurology, Department of Biological Chemistry, and the UCI Institute for Neurotherapeutics, University of California, Irvine, CA 92697, USA
| | - Elisa Bregolin
- Department of Biomedical Sciences, University of Padova, Padova, Italy
- Veneto Institute of Molecular Medicine (VIMM), Padova, Italy
- Padova Neuroscience Center, Padova, Italy
| | | | - Sara Parodi
- Istituto Italiano di Tecnologia, Genova, Italy
| | - Xavier Salvatella
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
- ICREA, Passeig Lluís Companys 23, Barcelona, Spain
| | - Giorgio Arrigoni
- Department of Biomedical Sciences, University of Padova, Padova, Italy
| | - Andrea Ballabio
- Telethon Institute of Genetics and Medicine (TIGEM), Pozzuoli, Naples, Italy
- Department of Medical and Translational Science, Federico II University, Naples, Italy
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX 77030, USA
| | - Albert R. La Spada
- Department of Pathology and Laboratory Medicine, Department of Neurology, Department of Biological Chemistry, and the UCI Institute for Neurotherapeutics, University of California, Irvine, CA 92697, USA
| | - Silvio C. E. Tosatto
- Department of Biomedical Sciences, University of Padova, Padova, Italy
- Institute of Neuroscience, Consiglio Nazionale delle Ricerche (CNR), Padova, Italy
| | - Fabio Sambataro
- Padova Neuroscience Center, Padova, Italy
- Department of Neuroscience, University of Padova, Padova, Italy
| | - Diego L. Medina
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Department of Medical and Translational Science, Federico II University, Naples, Italy
| | - Udai B. Pandey
- Division of Child Neurology, Department of Pediatrics, Children’s Hospital of Pittsburgh, University of Pittsburgh Medical Center, Pittsburgh, PA 15224, USA
| | - Manuela Basso
- Department of Cellular, Computational, and Integrative Biology (CIBIO), University of Trento, Trento, Italy
| | - Maria Pennuto
- Department of Biomedical Sciences, University of Padova, Padova, Italy
- Veneto Institute of Molecular Medicine (VIMM), Padova, Italy
- Padova Neuroscience Center, Padova, Italy
- Dulbecco Telethon Institute (DTI), Department of Cellular, Computational, and Integrative Biology (CIBIO), University of Trento, Trento, Italy
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Henemann GM, Schmitgen MM, Wolf ND, Hirjak D, Kubera KM, Sambataro F, Lemenager T, Koenig J, Wolf RC. Neurochemical Correlates of Cue Reactivity in Individuals with Excessive Smartphone Use. Eur Addict Res 2023; 29:71-75. [PMID: 36470225 DOI: 10.1159/000527095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 08/26/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND Excessive smartphone use (ESU), that is, a pattern of smartphone use that shows specific features of addictive behavior, has increasingly attracted societal and scientific interest in the past years. On the neurobiological level, ESU has recently been related to structural and functional variation in reward and salience processing networks, as shown by, for example, aberrant patterns of neural activity elicited by specific smartphone cues. OBJECTIVES Expanding on these findings, using cross-modal correlations of magnetic resonance imaging (MRI)-based measures with nuclear imaging-derived estimates, we aimed at identifying neurochemical pathways that are related to ESU. METHODS Cross-modal correlations between functional MRI data derived from a cue-reactivity task administered in persons with and without ESU and specific PET/SPECT receptor probability maps. RESULTS The endogenous mu-opioid receptor (MOR) system was found to be significantly (FDR-corrected) correlated with fMRI data, and z-transformed correlation coefficients showed an association (albeit nonsignificant after FDR-correction) between MOR and the Smartphone Addiction Inventory "withdrawal" dimension. CONCLUSIONS We could identify the MOR system as a neurochemical pathway associated with ESU. The MOR system is closely linked to the reward system, which has been recognized as a key player in addictive disorders. Together with its potential link to withdrawal, the MOR system hints toward a biologically highly relevant marker, which should be taken into consideration in the ongoing scientific discussion on technology-related addictive behaviors.
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Affiliation(s)
- Gudrun M Henemann
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany,
| | - Mike M Schmitgen
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany
| | - Nadine D Wolf
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany
| | - Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Katharina M Kubera
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany
| | - Fabio Sambataro
- Department of Neurosciences, Padua Neuroscience Center, University of Padova, Padua, Italy
| | - Tagrid Lemenager
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Julian Koenig
- Department of Child and Adolescent Psychiatry, University of Cologne, Faculty of Medicine and University Hospital Cologne, Psychosomatics and Psychotherapy, Cologne, Germany
| | - Robert Christian Wolf
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany
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Wolf RC, Fahmy R, Wasfi M, Mamdouh R, Moussa K, Schmitgen MM, Wolf ND, Hirjak D, Sambataro F, Kubera KM. Effects of Mindfulness-Based Interventions on Gray Matter Volume in Patients with Opioid Dependence. Neuropsychobiology 2022; 81:531-538. [PMID: 36380634 DOI: 10.1159/000526952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 08/14/2022] [Indexed: 11/16/2022]
Abstract
INTRODUCTION Recently, several mindfulness-based programs showed promising clinical effects in the treatment of psychiatric disorders including substance use disorders. However, very little is known about the effects of mindfulness-based interventions (MBIs) on brain structure in such patients. METHODS This study aimed to detect changes in gray matter volume (GMV) in opioid-dependent patients receiving MBI during their first month of treatment. Thirty patients were assigned to either 3 weeks of MBI (n = 16) or treatment as usual (TAU, n = 14) and were investigated using structural magnetic resonance imaging before and after treatment. Longitudinal pipeline of the Computational Anatomy Toolbox for SPM (CAT12) was used to detect significant treatment-related changes over time. The identified GMV changes following treatment were related to clinically relevant measures such as impulsivity, distress tolerance, and mindfulness. RESULTS After treatment, increased mindfulness scores were found in individuals receiving MBI compared to TAU. In the MBI group, there were also significant differences with respect to distress tolerance and impulsivity. Effects on mindfulness, distress tolerance, and impulsivity were also found in the TAU group. Longitudinal within-group analysis revealed increased left anterior insula GMV in individuals receiving MBI. Anterior insula volume increase was associated with decreased impulsivity levels. In the TAU group, significant GMV changes were found in the right lingual gyrus and right entorhinal cortex. DISCUSSION/CONCLUSION MBI can yield significant clinical effects during early abstinence from opioid dependence. MBI is particularly associated with increased insula GMV, supporting an important role of this region in the context of MBI-induced neural changes.
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Affiliation(s)
- Robert Christian Wolf
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - Reham Fahmy
- Department of Psychiatry, Kasralainy Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Maha Wasfi
- Department of Psychiatry, Kasralainy Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Rania Mamdouh
- Department of Psychiatry, Kasralainy Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Kareem Moussa
- Department of Radiology, Kasralainy Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Mike M Schmitgen
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - Nadine D Wolf
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - Dusan Hirjak
- Central Institute of Mental Health, Department of Psychiatry and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Fabio Sambataro
- Department of Neuroscience (DNS), University of Padova, Padua, Italy
| | - Katharina M Kubera
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany,
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Meda N, Recchia I, Guaglianone A, Olivo D, Northoff G, Solmi M, Pigato G, Sambataro F. Validation of the Italian version of the Northoff Catatonia Rating Scale. Riv Psichiatr 2022; 57:282-290. [PMID: 36503942 DOI: 10.1708/3922.39074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
PURPOSE Catatonia is a psychomotor syndrome characterized by heterogeneous motor, behavioral and affective alterations, and, in some cases, neurovegetative abnormalities that can be life-threatening. Although the prevalence estimates of catatonia are 10-20% of the hospitalized population, its clinical recognition remains a challenge for most clinicians. Differently from other catatonia rating scales, the Northoff Catatonia Rating Scale (NCRS) also evaluates the affective alterations that patients experience during catatonia and thus provides a more inclusive assessment of the alterations associated with this condition. To provide clinicians with a valuable tool for diagnosis, we translated the NCRS in Italian and validated it on a sample of 52 hospitalized patients with psychiatric disorders. METHODS An Italian version of the NCRS was prepared using the forward-backwards translation from English and administered to a sample of 52 in-patients (age 46.9±2.37 years). The inter-rater reliability, score correlations, internal coherence and decision statistics were computed. RESULTS The inter-rater agreement was higher for the motor subscale (100% agreement) than for the behavioral (94%) or affective subscales (92.3%). The inter-rater agreement was 100% for the diagnosis of catatonia. The NCRS correctly identified all patients with catatonia according to DSM-5 (sensitivity= 100%) and had a specificity of 88.9%, and its subscale scores were highly inter-correlated. CONCLUSIONS This validation shows that the NCRS yields a good accuracy in diagnosing catatonia and high inter-rater reliability. Moreover, the high correlation between its subscales supports the view that catatonia is a multi-faceted truly psycho-motor syndrome. In conclusion, the validation and Italian translation of the NCRS provides the clinicians with a helpful tool for diagnosing catatonia which is easy to use and assesses the full psychomotor complexity of the syndrome.
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Affiliation(s)
| | | | | | - Daniele Olivo
- Department of Neuroscience, University of Padova, Italy
| | - Georg Northoff
- Mind, Brain Imaging and Neuroethics Research Unit, The Royal's Institute of Mental Health Research, University of Ottawa, Ontario, Canada
| | - Marco Solmi
- Department of Psychiatry, University of Ottawa, Ontario, Canada - Department of Mental Health, The Ottawa Hospital, Ontario, Canada
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Cattarinussi G, Miola A, Trevisan N, Valeggia S, Tramarin E, Mucignat C, Morra F, Minerva M, Librizzi G, Bordin A, Causin F, Ottaviano G, Antonini A, Sambataro F, Manara R. Altered brain regional homogeneity is associated with depressive symptoms in COVID-19. J Affect Disord 2022; 313:36-42. [PMID: 35764231 PMCID: PMC9233546 DOI: 10.1016/j.jad.2022.06.061] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 05/31/2022] [Accepted: 06/22/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND COVID-19 is an infectious disease that has spread worldwide in 2020, causing a severe pandemic. In addition to respiratory symptoms, neuropsychiatric manifestations are commonly observed, including chronic fatigue, depression, and anxiety. The neural correlates of neuropsychiatric symptoms in COVID-19 are still largely unknown. METHODS A total of 79 patients with COVID-19 (COV) and 17 healthy controls (HC) underwent 3 T functional magnetic resonance imaging at rest, as well as structural imaging. Regional homogeneity (ReHo) was calculated. We also measured depressive symptoms with the Patient Health Questionnaire (PHQ-9), anxiety using the General Anxiety Disorder 7-item scale, and fatigue with the Multidimension Fatigue Inventory. RESULTS In comparison with HC, COV showed significantly higher depressive scores. Moreover, COV presented reduced ReHo in the left angular gyrus, the right superior/middle temporal gyrus and the left inferior temporal gyrus, and higher ReHo in the right hippocampus. No differences in gray matter were detected in these areas. Furthermore, we observed a negative correlation between ReHo in the left angular gyrus and PHQ-9 scores and a trend toward a positive correlation between ReHo in the right hippocampus and PHQ-9 scores. LIMITATIONS Heterogeneity in the clinical presentation in COV, the different timing from the first positive molecular swab test to the MRI, and the cross-sectional design of the study limit the generalizability of our findings. CONCLUSIONS Our results suggest that COVID-19 infection may contribute to depressive symptoms via a modulation of local functional connectivity in cortico-limbic circuits.
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Affiliation(s)
- Giulia Cattarinussi
- Department of Neuroscience (DNS), University of Padova, Padua, Italy,Padua Neuroscience Center, University of Padova, Padua, Italy
| | - Alessandro Miola
- Department of Neuroscience (DNS), University of Padova, Padua, Italy,Padua Neuroscience Center, University of Padova, Padua, Italy
| | - Nicolò Trevisan
- Department of Neuroscience (DNS), University of Padova, Padua, Italy,Padua Neuroscience Center, University of Padova, Padua, Italy
| | - Silvia Valeggia
- Department of Medicine-DIMED, Radiology Institute, University of Padova, Azienda Ospedale-Università Padova, Padua, Italy
| | - Elena Tramarin
- Department of Medicine-DIMED, Radiology Institute, University of Padova, Azienda Ospedale-Università Padova, Padua, Italy
| | - Carla Mucignat
- Department of Molecular Medicine, University of Padova, Padua, Italy
| | - Francesco Morra
- Department of Medicine-DIMED, Radiology Institute, University of Padova, Azienda Ospedale-Università Padova, Padua, Italy
| | - Matteo Minerva
- Department of Medicine-DIMED, Radiology Institute, University of Padova, Azienda Ospedale-Università Padova, Padua, Italy
| | - Giovanni Librizzi
- Department of Medicine-DIMED, Radiology Institute, University of Padova, Azienda Ospedale-Università Padova, Padua, Italy
| | - Anna Bordin
- Department of Neurosciences, Otolaryngology Section University of Padova, Padua, Italy
| | - Francesco Causin
- Neuroradiology Unit, Neurosciences Department, University of Padova, Azienda Ospedale-Università Padova, Padua, Italy
| | - Giancarlo Ottaviano
- Department of Neurosciences, Otolaryngology Section University of Padova, Padua, Italy
| | - Angelo Antonini
- Padua Neuroscience Center, University of Padova, Padua, Italy,Parkinson and Movement Disorders Unit, Study Center for Neurodegeneration (CESNE), Department of Neurosciences, University of Padova, Padua, Italy
| | - Fabio Sambataro
- Department of Neuroscience (DNS), University of Padova, Padua, Italy; Padua Neuroscience Center, University of Padova, Padua, Italy.
| | - Renzo Manara
- Neuroradiology Unit, Neurosciences Department, University of Padova, Azienda Ospedale-Università Padova, Padua, Italy
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Schmitgen MM, Wolf ND, Sambataro F, Hirjak D, Kubera KM, Koenig J, Wolf RC. Aberrant intrinsic neural network strength in individuals with "smartphone addiction": An MRI data fusion study. Brain Behav 2022; 12:e2739. [PMID: 36043500 PMCID: PMC9480925 DOI: 10.1002/brb3.2739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 07/01/2022] [Accepted: 07/22/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Excessive smartphone use, also referred to as "smartphone addiction" (SPA), has increasingly attracted neuroscientific interest due to its similarities with other behavioral addictions, particularly internet gaming disorder. Little is known about the neural mechanisms underlying smartphone addiction. We explored interrelationships between brain structure and function to specify neurobiological correlates of SPA on a neural system level. METHODS Gray matter volume (GMV) and intrinsic neural activity (INA) were investigated in individuals with SPA (n = 20) and controls (n = 24), using multimodal magnetic resonance imaging and multivariate data fusion techniques, that is, parallel independent component analysis. RESULTS The joint analysis of both data modalities explored shared information between GMV and INA. In particular, two amplitudes of low frequency fluctuations-based independent neural systems significantly differed between individuals with SPA and controls. A medial/dorsolateral prefrontal system exhibited lower functional network strength in individuals with SPA versus controls, whereas the opposite pattern was detected in a parietal cortical/cerebellar system. Neural network strength was significantly related to duration of smartphone use and sleep difficulties. DISCUSSION AND CONCLUSIONS We show modality-specific associations of the brain's resting-state activity with distinct and shared SPA symptom dimensions. In particular, the data suggest contributions of aberrant prefrontal and parietal neural network strength as a possible signature of deficient executive control in SPA. SCIENTIFIC SIGNIFICANCE This study suggests distinct neural mechanisms underlying specific biological and behavioral dimensions of excessive smartphone use.
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Affiliation(s)
- Mike M Schmitgen
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany
| | - Nadine D Wolf
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany
| | - Fabio Sambataro
- Department of Neuroscience, Padua Neuroscience Center, University of Padova, Padua, Italy
| | - Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Katharina M Kubera
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany
| | - Julian Koenig
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Robert Christian Wolf
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany
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Cattarinussi G, Kubera KM, Hirjak D, Wolf RC, Sambataro F. Neural Correlates of the Risk for Schizophrenia and Bipolar Disorder: A Meta-analysis of Structural and Functional Neuroimaging Studies. Biol Psychiatry 2022; 92:375-384. [PMID: 35523593 DOI: 10.1016/j.biopsych.2022.02.960] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 01/28/2022] [Accepted: 02/23/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND Clinical features and genetics overlap in schizophrenia (SCZ) and bipolar disorder (BD). Identifying brain alterations associated with genetic vulnerability for SCZ and BD could help to discover intermediate phenotypes, quantifiable biological traits with greater prevalence in unaffected relatives (RELs), and early recognition biomarkers in ultrahigh risk populations. However, a comprehensive meta-analysis of structural and functional magnetic resonance imaging (MRI) studies examining relatives of patients with SCZ and BD has not been performed yet. METHODS We systematically searched PubMed, Scopus, and Web of Science for structural and functional MRI studies investigating relatives and healthy control subjects. A total of 230 eligible neuroimaging studies (6274 SCZ-RELs, 1900 BD-RELs, 10,789 healthy control subjects) were identified. We conducted coordinate-based activation likelihood estimation meta-analyses on 26 structural MRI and 81 functional MRI investigations, including stratification by task type. We also meta-analyzed regional and global volumetric changes. Finally, we performed a meta-analysis of all MRI studies combined. RESULTS Reduced thalamic volume was present in both SCZ and BD RELs. Moreover, SCZ-RELs showed alterations in corticostriatal-thalamic networks, spanning the dorsolateral prefrontal cortex and temporal regions, while BD-RELs showed altered thalamocortical and limbic regions, including the ventrolateral prefrontal, superior parietal, and medial temporal cortices, with frontoparietal alterations in RELs of BD type I. CONCLUSIONS Familiarity for SCZ and BD is associated with alterations in the thalamocortical circuits, which may be the expression of the shared genetic mechanism underlying both disorders. Furthermore, the involvement of different prefrontocortical and temporal nodes may be associated with a differential symptom expression in the two disorders.
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Affiliation(s)
- Giulia Cattarinussi
- Department of Neuroscience, Università degli studi di Padova, Padova, Italy; Padova Neuroscience Center, Università degli studi di Padova, Padova, Italy
| | - Katharina M Kubera
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany
| | - Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Robert C Wolf
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany
| | - Fabio Sambataro
- Department of Neuroscience, Università degli studi di Padova, Padova, Italy; Padova Neuroscience Center, Università degli studi di Padova, Padova, Italy.
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Cattarinussi G, Bellani M, Maggioni E, Sambataro F, Brambilla P, Delvecchio G. Resting-state functional connectivity and spontaneous brain activity in early-onset bipolar disorder: A review of functional Magnetic Resonance Imaging studies. J Affect Disord 2022; 311:463-471. [PMID: 35580695 DOI: 10.1016/j.jad.2022.05.055] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 05/04/2022] [Accepted: 05/10/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Early-onset bipolar disorder (BD) is a complex psychiatric illness characterized by mood swings, irritability and functional impairments. To improve our understanding of the pathophysiology of the disorder, we collected the existing resting-state functional Magnetic Resonance Imaging (rs-fMRI) studies exploring resting-state functional connectivity (rs-FC) and spontaneous activity alterations in children and adolescents with BD. METHODS A search on PubMed, Web of Science and Scopus was conducted to identify all the relevant rs-fMRI investigations conducted in early-onset BD. A total of 14 studies employing different methodological approaches to explore rs-FC and spontaneous activity in early-onset BD were included (independent component analysis, n = 1; seed-based analysis, n = 7; amplitude of low frequency fluctuations analysis, n = 2; regional homogeneity analysis, n = 4). RESULTS Overall, the studies showed abnormalities within the Default Mode Network (DMN) and between the DMN and the Salience Network (SN). Moreover, widespread alterations in rs-FC and spontaneous brain activity within and between cortico-limbic structures, involving primarily the occipital and frontal lobes, amygdala, hippocampus, insula, thalamus and striatum were also reported. LIMITATIONS The small sample sizes, the use of medications, the presence of comorbidities and the heterogeneity in methods hamper the integration of the study findings. CONCLUSIONS Early-onset BD seems to be characterized by selective rs-FC and spontaneous activity dysfunctions in DMN and SN as well as in the cortico-limbic and cortico-striatal circuits, which could explain the emotive and cognitive deficits observed in this disabling psychiatric illness.
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Affiliation(s)
- Giulia Cattarinussi
- Department of Neuroscience (DNS), University of Padova, Padua, Italy; Padua Neuroscience Center, University of Padova, Padua, Italy
| | - Marcella Bellani
- Section of Psychiatry, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Eleonora Maggioni
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Electronics Information and Bioengineering, Politecnico di Milano, Milano, Italy
| | - Fabio Sambataro
- Department of Neuroscience (DNS), University of Padova, Padua, Italy; Padua Neuroscience Center, University of Padova, Padua, Italy
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Giuseppe Delvecchio
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
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40
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Cattarinussi G, Delvecchio G, Sambataro F, Brambilla P. The effect of polygenic risk scores for major depressive disorder, bipolar disorder and schizophrenia on morphological brain measures: A systematic review of the evidence. J Affect Disord 2022; 310:213-222. [PMID: 35533776 DOI: 10.1016/j.jad.2022.05.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 04/27/2022] [Accepted: 05/04/2022] [Indexed: 01/26/2023]
Abstract
BACKGROUND Major depressive disorder (MDD), bipolar disorder (BD) and schizophrenia (SCZ) share clinical features and genetic bases. Magnetic Resonance Imaging (MRI) studies assessing the effect of polygenic risk score (PRS) for psychiatric disorders on brain structure show heterogeneous results. Therefore, we provided an overview of the existing evidence on the association between PRS for MDD, BD and SCZ and MRI abnormalities in clinical and healthy populations. METHODS A search on PubMed, Web of Science and Scopus was performed to identify the studies exploring the effect of PRS for MDD, BD and SCZ on MRI measures. A total of 25 studies were included (N = 13 on healthy individuals and N = 12 on clinical populations). RESULTS Both in affected and unaffected individuals, PRS for BD and SCZ showed either positive or negative correlations with cortical thickness (CT), mostly involving fronto-temporal areas, whereas PRS for MDD was associated with cortical alterations in prefrontal regions in healthy subjects. LIMITATIONS The heterogeneity in the methods limits the conclusions of this review. CONCLUSIONS Overall the evidence on the effect of PRS for MDD, BD and SCZ on brain is considerably heterogeneous and far to be conclusive. However, from the results emerged that PRS for MDD, BD and SCZ were associated with widespread cortical abnormalities in all the populations explored, suggesting that genetic risk for MDD, BD and SCZ might affect neurodevelopmental processes, resulting in cortical alterations that transcend diagnostic boundaries and seem to be independent from the clinical status.
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Affiliation(s)
- Giulia Cattarinussi
- Department of Neuroscience (DNS), University of Padova, Padua, Italy; Padua Neuroscience Center, University of Padova, Padua, Italy
| | - Giuseppe Delvecchio
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
| | - Fabio Sambataro
- Department of Neuroscience (DNS), University of Padova, Padua, Italy; Padua Neuroscience Center, University of Padova, Padua, Italy
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
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41
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Schmitgen MM, Horvath J, Mundinger C, Wolf DN, Sambataro F, Hirjak D, Kubera MK, Koenig J, Wolf CR. Neuronale Korrelate von Cue-Reactivity bei Personen mit
Smartphonesucht. Suchttherapie 2022. [DOI: 10.1055/s-0042-1756047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/22/2023]
Affiliation(s)
| | - J Horvath
- Universitätsklinikum Heidelberg, Heidelberg
| | | | - D N Wolf
- Universitätsklinikum Heidelberg, Heidelberg
| | | | | | - M K Kubera
- Universitätsklinikum Heidelberg, Heidelberg
| | - J Koenig
- Uniklinik Köln, Köln
- Universitätsklinikum Heidelberg, Heidelberg
| | - C R Wolf
- Universitätsklinikum Heidelberg, Heidelberg
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Cattarinussi G, Delvecchio G, Moltrasio C, Ferro A, Sambataro F, Brambilla P. Effects of pharmacological treatments on neuroimaging findings in borderline personality disorder: A review of FDG-PET and fNIRS studies. J Affect Disord 2022; 308:314-321. [PMID: 35429522 DOI: 10.1016/j.jad.2022.04.050] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 03/23/2022] [Accepted: 04/10/2022] [Indexed: 01/18/2023]
Abstract
BACKGROUND Borderline personality disorder (BPD) is a serious mental condition characterized by instability in identity, interpersonal relationships, emotion regulation and impulsivity. These symptoms seem to be associated to specific brain alterations, which have been largely investigated. In particular, positron emission tomography (PET) and functional near-infrared spectroscopy (fNIRS) have demonstrated abnormalities in brain metabolism and hemodynamics in BPD, specifically in the fronto-limbic system. However, the role of medications on brain metabolism and hemodynamics in BPD is still largely unknown. METHODS We conducted a search on PubMed, Scopus and Web of Science of PET and fNIRS studies exploring the effect of medications on brain metabolism and hemodynamics in BPD. A total of 10 studies met the inclusion criteria. RESULTS Overall, PET studies showed an effect of psychotropic agents on brain metabolism, especially in frontal and temporal areas. Also, higher metabolic rates in frontal areas were found to correlate with clinical improvements. In contrast, fNIRS investigations reported an inconclusive or absent effects on brain hemodynamics in BPD patients. LIMITATIONS The small sample size, the elevated percentage of women, the heterogeneity in pharmacological agents and the presence of comorbidities limit the conclusions of the present review. CONCLUSIONS Serotoninergic agents and second-generation antipsychotics produce changes in frontal and temporal metabolism in BPD, which appear to correlate with clinical improvements. Differently, brain hemodynamics do not seem to be significantly affected by the most commonly prescribed drugs in BPD, suggesting that the therapeutic actions of medications are not mediated by changes in neural hemodynamics.
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Affiliation(s)
- Giulia Cattarinussi
- Department of Neuroscience (DNS), Padua Neuroscience Center, University of Padova, Padua, Italy
| | - Giuseppe Delvecchio
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
| | - Chiara Moltrasio
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Adele Ferro
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Fabio Sambataro
- Department of Neuroscience (DNS), Padua Neuroscience Center, University of Padova, Padua, Italy
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
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Passiatore R, Antonucci L, Deramus T, Fazio L, Stolfa G, Andriola I, Sangiuliano M, Altamura M, Saponaro A, Brudaglio F, Carofiglio A, Popolizio T, Sambataro F, Blasi G, Bertolino A, Calhoun V, Pergola G. Age-related network connectivity pattern changes are associated with risk for psychosis. Eur Psychiatry 2022. [PMCID: PMC9566865 DOI: 10.1192/j.eurpsy.2022.805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Introduction Psychosis onset typically occurs during adolescence or early adulthood, coinciding with the latest stage of brain maturation. Alterations in brain functional connectivity (FC) accompany the emergence of psychiatric symptoms and cognitive impairments. Thus, age-related FC changes may be informative regarding psychosis onset. Objectives We defined neurotypical age-related FC trajectories and hypothesized that FC of individuals at familial and clinical high risk (HR) for psychosis deviates from FC of neurotypical controls (NC). Methods We analyzed two independent cohorts, of (a) 356 early adult NC (yNC; age=22±2y, m:f=149:207), and 127 mature adult NC (aNC; age=38±7y, m:f=79:48), and (b) 92 yNC (age=22±2y, m:f=34:58), 33 aNC (age=36±6y, m:f=21:12), 38 early HR adults (age=20±3y, m:f=18:20). We acquired fMRI data from multiple scans (resting-state, working memory, episodic memory, and implicit emotion processing). FC was obtained by computing Pearson’s correlations between time-courses of every independent component (IC) defined by an Independent Component Analysis approach (NeuroMark). Age-varying components of interest (yNC/aNC differences on FC based on linear mixed effect regressions) were tested for differences between HR and yNC through the Wilcoxon rank-sum
test. Results showed age-related FC differences (yNC/aNC) in a set of 17 IC pairs (pFDR<0.05). HR showed increased FC within a network including dorsolateral and medial prefrontal cortices, and sensorimotor cortex, while decreased FC between cerebellum and the parietal and visual cortices, compared with yNC (pFDR<0.05). HR showed no significant difference compared with aNC (pFDR>0.05). Conclusions This study tested FC alterations associated with the risk for psychosis and highlighted the relationship between psychosis and potentially altered brain functional processes. Disclosure No significant relationships.
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Miola A, Cattarinussi G, Antiga G, Caiolo S, Solmi M, Sambataro F. Difficulties in emotion regulation in bipolar disorder: A systematic review and meta-analysis. J Affect Disord 2022; 302:352-360. [PMID: 35093412 DOI: 10.1016/j.jad.2022.01.102] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 01/19/2022] [Accepted: 01/26/2022] [Indexed: 10/19/2022]
Abstract
BACKGROUND Bipolar disorder (BD) is a severe mental disorder characterized by mood swings and functional impairment. Although alterations in emotional regulation (ER) are a key feature, a comprehensive meta-analysis on abnormalities in emotion regulation in BD is still lacking. METHODS We performed a random-effects meta-analysis on studies comparing the ER measured with the Difficulties in Emotion Regulation Scale (DERS) in BD and healthy controls (HC) or borderline personality disorder (BPD) and calculated the standardized mean difference (SMD) of the total DERS score between those with BD and HC (primary outcome). Secondary outcomes were the SMD of the DERS subscales between BD and HC, as well as the SMD of the total score of DERS and the subscales between BD and BPD. RESULTS Twelve studies (858 BD, 540 BPD, 285 HC) were included. Compared to HC, BD showed significantly higher total DERS score (k=8, SMD 0.962, p<0.001) and subscale scores, including non-acceptance (k=6, SMD=0.85, p<0.001), goal-directed behavior (k=6, SMD=0.894, p<0.001), impulse control (k=6, SMD=1.08, p<0.001), strategies (k=6, SMD=1.25, p<0.001) and emotional clarity (k=6, SMD=0.694, p=0.001). Relative to BPD, BD presented significantly lower scores in all the DERS subscales. Sensitivity analyses confirmed the main analyses. The age of the participants and sample size moderated the primary outcome. LIMITATIONS The small number of studies and the cross-sectional design limit the generalizability of the results. CONCLUSIONS Our findings suggest that alterations of specific ER abilities are present in BD and their magnitude is smaller relative to BPD. Future therapeutic interventions should target ER strategies.
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Affiliation(s)
- Alessandro Miola
- Department of Neuroscience (DNS), University of Padova, Padua, Italy;; Padua Neuroscience Center, University of Padova, Padua, Italy
| | - Giulia Cattarinussi
- Department of Neuroscience (DNS), University of Padova, Padua, Italy;; Padua Neuroscience Center, University of Padova, Padua, Italy
| | - Gilberto Antiga
- Department of Neuroscience (DNS), University of Padova, Padua, Italy
| | - Stefano Caiolo
- Department of Neuroscience (DNS), University of Padova, Padua, Italy
| | - Marco Solmi
- Department of Psychiatry, University of Ottawa, Ontario, Canada; Department of Mental Health, The Ottawa Hospital, Ontario, Canada
| | - Fabio Sambataro
- Department of Neuroscience (DNS), University of Padova, Padua, Italy;; Padua Neuroscience Center, University of Padova, Padua, Italy.
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Hirjak D, Henemann GM, Schmitgen MM, Götz L, Wolf ND, Kubera KM, Sambataro F, Leménager T, Koenig J, Wolf RC. Cortical surface variation in individuals with excessive smartphone use. Dev Neurobiol 2022; 82:277-287. [PMID: 35332986 DOI: 10.1002/dneu.22872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 01/14/2022] [Accepted: 03/09/2022] [Indexed: 11/09/2022]
Abstract
Excessive smartphone use has been repeatedly related to adverse effects on mental health and psychological well-being in young adults. The continued investigation of the neurobiological mechanism underlying excessive smartphone use - sometimes also referred to as "smartphone addiction" (SPA) - is considered a top priority in system neuroscience research. Despite progress in the past years, cortical morphology associated with SPA is still poorly understood. Here, we used structural magnetic resonance imaging (MRI) at 3 T to investigate two cortical surface markers of distinct neurodevelopmental origin such as the complexity of cortical folding (CCF) and cortical thickness (CTh) in individuals with excessive smartphone use (n = 19) compared to individuals not fulfilling SPA criteria (n-SPA; n = 22). SPA was assessed using the Smartphone Addiction Inventory (SPAI). CCF and CTh were investigated using the Computational Anatomy Toolbox (CAT12). SPA individuals showed lower CCF in the right superior frontal gyrus as well as in the right caudal (cACC) and rostral anterior cingulate cortex (rACC) compared to n-SPA individuals (TFCE, uncorrected at p < 0.001). Following a dimensional approach, across the entire sample CCF of the right cACC was significantly associated with SPAI total score, as well as with distinct SPAI subdimensions, particularly time spent with the device, compulsivity, and sleep interference in all participants (n = 41; p < 0.05, FDR-corrected). Collectively, these findings suggest that SPA is associated with aberrant structural maturation of regions important for cognitive control and emotional regulation. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Gudrun M Henemann
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany
| | - Mike M Schmitgen
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany
| | - Larissa Götz
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany
| | - Nadine D Wolf
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany
| | - Katharina M Kubera
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany
| | - Fabio Sambataro
- Department of Neurosciences, Padua Neuroscience Center, University of Padova, Padua, Italy
| | - Tagrid Leménager
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Julian Koenig
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Cologne, Germany
| | - Robert Christian Wolf
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany
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Sambataro F, Wolf RC. Time After Time: Electroconvulsive Therapy Modulates the Brain's Functional Network Connectivity Dynamics. Biol Psychiatry Cogn Neurosci Neuroimaging 2022; 7:243-245. [PMID: 35256073 DOI: 10.1016/j.bpsc.2021.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 12/02/2021] [Indexed: 06/14/2023]
Affiliation(s)
- Fabio Sambataro
- Department of Neuroscience, University of Padova, Padua, Italy; Padova Neuroscience Center, University of Padova, Padua, Italy.
| | - Robert Christian Wolf
- Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Heidelberg, Germany.
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Miola A, Fornaro M, Sambataro F, Solmi M. Melatonin and melatonin-agonists for metabolic syndrome components in patients treated with antipsychotics: A systematic review and meta-analysis. Hum Psychopharmacol 2022; 37:e2821. [PMID: 34687076 DOI: 10.1002/hup.2821] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 09/27/2021] [Accepted: 09/28/2021] [Indexed: 11/07/2022]
Abstract
OBJECTIVE Metabolic side effects are a limiting factor in the use of antipsychotics, which remain the cornerstone of long-term management of patients with severe mental illness. There is contrasting evidence on a possible role of melatonin and melatonin-agonists in attenuating antipsychotic-induced metabolic abnormalities. DESIGN We conducted a systematic review (PubMed, PsycInfo, Cochrane databases, up to August 2020) and a random-effect meta-analysis of double-blind, randomized placebo-controlled trials (RCTs) involving melatonin and melatonin-agonists in the treatment of antipsychotic-induced metabolic changes. The primary outcome was the standardized mean difference (SMD) of composite metabolic outcomes built with metabolic syndrome components. Secondary outcomes were individual metabolic syndrome components, and other anthropometric, glucose metabolism, lipid profile, and psychopathology measures. RESULTS Out of the initial 41 studies, six documented five separate RCTs randomizing 248 patients (126 to melatonin/ramelteon, 122 to placebo) affected by schizophrenia-spectrum disorders and bipolar disorder. Melatonin/ramelteon outperformed placebo on the primary outcome (SMD -0.28, 95% CI = -0.39 ÷ -0.168), as well as on all individual components of metabolic syndrome (systolic blood pressure MD -3.266, 95% CI = -6.020 ÷ -0.511; fasting glucose MD -3.766, 95% CI = -5.938 ÷ -1.593; triglycerides MD -9.800, 95% CI = -19.431 ÷ -0.169; HDL MD 2.995, 95% CI = 0.567 ÷ 5.423), except waist circumference. CONCLUSIONS Melatonin/ramelteon augmentation may be beneficial for non-anthropometric metabolic syndrome components in patients treated with antipsychotics.
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Affiliation(s)
- Alessandro Miola
- Department of Neuroscience, University of Padova, Padua, Italy.,Padua Neuroscience Center, University of Padova, Padua, Italy
| | - Michele Fornaro
- Section of Psychiatry, Department of Neuroscience, Reproductive Sciences and Dentistry, Federico II University, Naples, Italy
| | - Fabio Sambataro
- Department of Neuroscience, University of Padova, Padua, Italy.,Padua Neuroscience Center, University of Padova, Padua, Italy
| | - Marco Solmi
- Department of Psychiatry, University of Ottawa, Ottawa, Ontario, Canada.,Department of Mental Health, The Ottawa Hospital, Ottawa, Ontario, Canada.,Clinical Epidemiology Program, Ottawa Hospital Research Institute (OHRI), University of Ottawa, Ottawa, Ontario, Canada
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Hirjak D, Schmitgen MM, Werler F, Wittemann M, Kubera KM, Wolf ND, Sambataro F, Calhoun VD, Reith W, Wolf RC. Multimodal MRI data fusion reveals distinct structural, functional and neurochemical correlates of heavy cannabis use. Addict Biol 2022; 27:e13113. [PMID: 34808703 DOI: 10.1111/adb.13113] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 09/24/2021] [Accepted: 10/29/2021] [Indexed: 12/19/2022]
Abstract
Heavy cannabis use (HCU) is frequently associated with a plethora of cognitive, psychopathological and sensorimotor phenomena. Although HCU is frequent, specific patterns of abnormal brain structure and function underlying HCU in individuals presenting without cannabis-use disorder or other current and life-time major mental disorders are unclear at present. This multimodal magnetic resonance imaging (MRI) study examined resting-state functional MRI (rs-fMRI) and structural MRI (sMRI) data from 24 persons with HCU and 16 controls. Parallel independent component analysis (p-ICA) was used to examine covarying components among grey matter volume (GMV) maps computed from sMRI and intrinsic neural activity (INA), as derived from amplitude of low-frequency fluctuations (ALFF) maps computed from rs-fMRI data. Further, we used JuSpace toolbox for cross-modal correlations between MRI-based modalities with nuclear imaging derived estimates, to examine specific neurotransmitter system changes underlying HCU. We identified two transmodal components, which significantly differed between the HCU and controls (GMV: p = 0.01, ALFF p = 0.03, respectively). The GMV component comprised predominantly cerebello-temporo-thalamic regions, whereas the INA component included fronto-parietal regions. Across HCU, loading parameters of both components were significantly associated with distinct HCU behavior. Finally, significant associations between GMV and the serotonergic system as well as between INA and the serotonergic, dopaminergic and μ-opioid receptor system were detected. This study provides novel multimodal neuromechanistic insights into HCU suggesting co-altered structure/function-interactions in neural systems subserving cognitive and sensorimotor functions.
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Affiliation(s)
- Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim Heidelberg University Mannheim Germany
| | - Mike M. Schmitgen
- Department of General Psychiatry at the Center for Psychosocial Medicine Heidelberg University Mannheim Germany
| | - Florian Werler
- Department of General Psychiatry at the Center for Psychosocial Medicine Heidelberg University Mannheim Germany
| | - Miriam Wittemann
- Department of Psychiatry and Psychotherapy Saarland University Saarbrücken Germany
| | - Katharina M. Kubera
- Department of General Psychiatry at the Center for Psychosocial Medicine Heidelberg University Mannheim Germany
| | - Nadine D. Wolf
- Department of General Psychiatry at the Center for Psychosocial Medicine Heidelberg University Mannheim Germany
| | - Fabio Sambataro
- Department of Neurosciences, Padua Neuroscience Center University of Padua Padua Italy
| | - Vince D. Calhoun
- Tri‐institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology Emory University Atlanta Georgia USA
| | - Wolfgang Reith
- Department of Neuroradiology Saarland University Saarbrücken Germany
| | - Robert Christian Wolf
- Department of General Psychiatry at the Center for Psychosocial Medicine Heidelberg University Mannheim Germany
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Pontoni G, Caiolo S, Miola A, Moriglia C, Lunardi T, Garofalo S, Sambataro F. Evaluation of peritraumatic distress at the point of care: A cross-sectional study. J Affect Disord 2022; 300:563-570. [PMID: 34965402 PMCID: PMC8710240 DOI: 10.1016/j.jad.2021.12.101] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 12/22/2021] [Accepted: 12/24/2021] [Indexed: 12/31/2022]
Abstract
BACKGROUND COVID-19 related peritraumatic distress has been investigated in the general population with contrasting results probably due to the perceived risk of developing COVID-19. Our study aims to investigate this condition in individuals with ascertained or probable SARS-CoV-2 exposure. METHODS The Coronavirus Peritraumatic Distress Index (CPDI) was administered to people attending a COVID-19 point of care. The sample was stratified for perceived risk in SARS-CoV-2 positive cases, close contacts, case relatives, undergoing screening subjects, and symptomatic subjects. RESULTS 1463 subjects participated, and with a mean CPDI Score of 28.2 (SD 16.9). CPDI Scores in SARS-CoV-2 positive cases were significantly higher than case relatives (p = 0.02). Multiple logistic regression revealed that having had work changes (p = 0.001), night sleep changes (p < 0.001), physical activity reduction (p = 0.002), alcohol consumption changes (p = 0.003), and at least one relative lost to COVID-19 (p < 0.001) independently predicted higher CPDI Scores. Male sex (p < 0.001), age ≥ 35 years (p < 0.001), higher educational level (p = 0.002), night sleep >7 hours (p = 0.002), and being physically active (p = 0.018) were identified as protective factors. LIMITATIONS Cross-sectional design and the regional recruitment area limit the generalizability of results. CONCLUSIONS Mean CPDI values were above the threshold for medium grade peritraumatic distress, with greater CPDI Scores in subjects who tested positive for SARS-CoV-2, compared to family members or caregivers without a clear indication to undergo the swab. Specific demographics, physical and mental health events could help in identifying individuals at greater risk of COVID-19 related peritraumatic distress that may benefit from early treatment.
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Affiliation(s)
- Giancarlo Pontoni
- Psychiatry Section, Psychophysiological Selection Office, Italian Army National Recruitment and Selection Center, Foligno, PG, Italy
| | - Stefano Caiolo
- University of Padova, Padua, Italy; Military Department of Forensic Medicine, Padua, Italy
| | - Alessandro Miola
- Department of Neuroscience (DNS), Padua Neuroscience Center, University of Padova, Via Belzoni 160, Padua I-35121, Italy; University of Padova, Padua, Italy
| | - Chiara Moriglia
- Interview Section, Psycho-aptitude Selection Office, Italian Army National Recruitment and Selection Center, Foligno, PG, Italy
| | | | | | - Fabio Sambataro
- Department of Neuroscience (DNS), Padua Neuroscience Center, University of Padova, Via Belzoni 160, Padua I-35121, Italy; University of Padova, Padua, Italy.
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50
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Trevisan N, Miola A, Cattarinussi G, Kubera KM, Hirjak D, Wolf RC, Sambataro F. Cortical folding complexity is distinctively altered in schizophrenia and bipolar disorder. Schizophr Res 2022; 241:92-93. [PMID: 35101838 DOI: 10.1016/j.schres.2022.01.037] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 01/10/2022] [Accepted: 01/16/2022] [Indexed: 12/23/2022]
Affiliation(s)
- Nicolò Trevisan
- Department of Neuroscience (DNS), University of Padova, Italy; Padova Neuroscience Center, University of Padova, Italy
| | - Alessandro Miola
- Department of Neuroscience (DNS), University of Padova, Italy; Padova Neuroscience Center, University of Padova, Italy
| | - Giulia Cattarinussi
- Department of Neuroscience (DNS), University of Padova, Italy; Padova Neuroscience Center, University of Padova, Italy
| | - Katharina M Kubera
- Department of General Psychiatry at the Center for Psychosocial Medicine, Heidelberg University, Germany
| | - Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Robert Christian Wolf
- Department of General Psychiatry at the Center for Psychosocial Medicine, Heidelberg University, Germany
| | - Fabio Sambataro
- Department of Neuroscience (DNS), University of Padova, Italy; Padova Neuroscience Center, University of Padova, Italy.
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