1
|
Li R, Cao M, Fu D, Wei W, Wang D, Yuan Z, Hu R, Deng W. Deciphering language disturbances in schizophrenia: A study using fine-tuned language models. Schizophr Res 2024; 271:120-128. [PMID: 39024960 DOI: 10.1016/j.schres.2024.07.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 07/04/2024] [Accepted: 07/07/2024] [Indexed: 07/20/2024]
Abstract
This research presents two stable language metrics, namely Successful Prediction Rate (SPR) and Disfluency (DF), to objectively quantify the linguistic disturbances associated with schizophrenia. These novel language metrics can capture both off-topic responses and incoherence in patients' speech by modeling speech information and fine-tuning techniques. Additionally, these metrics exhibit cultural sensitivity while providing a more comprehensive evaluation of linguistic abnormalities in schizophrenia. This research fine-tuned the ELECTRA Pretrained Language Model on a 750 MB text corpus obtained from major Chinese mental health forums. The effectiveness of the fine-tuned language model is verified on a group comprising 38 individuals diagnosed with schizophrenia and 25 meticulously matched healthy controls. The study explores the association between the fine-tuned language model and the Positive and Negative Syndrome Scale (PANSS) items. The results demonstrate that SPR is higher in healthy controls, indicating better language understanding by the pre-trained language model. Conversely, DF is higher in individuals with schizophrenia, indicating more inconsistent language structure. The relationship between linguistic features and P2 (conceptual disorganization) reveals that patients with positive P2 exhibit lower SPR and higher DF. Binary logistic regression using the combined SPR and DF features achieves 84.5 % accuracy in classifying P2, exceeding the performance of traditional features by 20.5 %. Moreover, the proposed linguistic features outperform traditional linguistic features in discriminating FTD (formal thought disorder), as demonstrated by multivariate linear regression analysis.
Collapse
Affiliation(s)
- Renyu Li
- DAMO Academy, Alibaba Group, Hangzhou, China
| | - Minne Cao
- Affiliated Mental Health Center, Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Dawei Fu
- DAMO Academy, Alibaba Group, Hangzhou, China
| | - Wei Wei
- Affiliated Mental Health Center, Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Dequan Wang
- Affiliated Mental Health Center, Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhaoxia Yuan
- Affiliated Mental Health Center, Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ruofei Hu
- DAMO Academy, Alibaba Group, Hangzhou, China; Lifestyle Supporting Technologies Group, Technical University of Madrid, Spain
| | - Wei Deng
- Affiliated Mental Health Center, Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, China; Liangzhu Laboratory, MOE Frontier Science Center for Brain Science and Brain-machine Integration, State Key Laboratory of Brain-machine Intelligence, China.
| |
Collapse
|
2
|
Giuliani L, Pezzella P, Giordano GM, Fazio L, Mucci A, Perrottelli A, Blasi G, Amore M, Rocca P, Rossi A, Bertolino A, Galderisi S, Maj M. Illness-related variables and abnormalities of resting-state brain activity in schizophrenia. Front Psychiatry 2024; 15:1458624. [PMID: 39165501 PMCID: PMC11333936 DOI: 10.3389/fpsyt.2024.1458624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2024] [Accepted: 07/17/2024] [Indexed: 08/22/2024] Open
Abstract
Background The development of neuroimaging biomarkers in patients with schizophrenia (SCZ) requires a refined clinical characterization. A limitation of the neuroimaging literature is the partial uptake of progress in characterizing disease-related features, particularly negative symptoms (NS) and cognitive impairment (CI). In the present study, we assessed NS and CI using up-to-date instruments and investigated the associations of abnormalities in brain resting-state (rs)-activity with disease-related features. Methods Sixty-two community-dwelling SCZ subjects participated in the study. Multiple regression analyses were performed with the rs-activity of nine regions of interest as dependent variables and disease-related features as explanatory variables. Results Attention/vigilance deficits were negatively associated with dorsal anterior cingulate rs-activity and, together with depression, were positively associated with right dorsolateral prefrontal cortex rs-activity. These deficits and impairment of Reasoning/problem-solving, together with conceptual disorganization, were associated with right inferior parietal lobule and temporal parietal junction rs-activity. Independent of other features, the NS Expressive Deficit domain was associated with the left ventral caudate, while the Motivational Deficit was associated with the dorsal caudate rs-activity. Conclusion Neurocognitive deficits and the two negative symptom domains are associated with different neural markers. Replications of these findings could foster the identification of clinically actionable biomarkers of poor functional outcomes.
Collapse
Affiliation(s)
- Luigi Giuliani
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Pasquale Pezzella
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | | | - Leonardo Fazio
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari ‘Aldo Moro’, Bari, Italy
- Department of Medicine and Surgery, Libera Università Mediterranea Giuseppe Degennaro, Casamassima, Italy
| | - Armida Mucci
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Andrea Perrottelli
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Giuseppe Blasi
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari ‘Aldo Moro’, Bari, Italy
| | - Mario Amore
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics and Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
| | - Paola Rocca
- Department of Neuroscience, Section of Psychiatry, University of Turin, Turin, Italy
| | - Alessandro Rossi
- Department of Biotechnological and Applied Clinical Sciences, Section of Psychiatry, University of L’Aquila, L’Aquila, Italy
| | - Alessandro Bertolino
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari ‘Aldo Moro’, Bari, Italy
| | - Silvana Galderisi
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Mario Maj
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| |
Collapse
|
3
|
Alonso-Sanchez MF, Z-Rivera L, Otero M, Portal J, Cavieres Á, Alfaro-Faccio P. Aberrant brain language network in schizophrenia spectrum disorder: a systematic review of its relation to language signs beyond symptoms. Front Psychiatry 2024; 15:1244694. [PMID: 39026525 PMCID: PMC11254709 DOI: 10.3389/fpsyt.2024.1244694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 06/07/2024] [Indexed: 07/20/2024] Open
Abstract
Background Language disturbances are a core feature of schizophrenia, often studied as a formal thought disorder. The neurobiology of language in schizophrenia has been addressed within the same framework, that language and thought are equivalents considering symptoms and not signs. This review aims to systematically examine published peer-reviewed studies that employed neuroimaging techniques to investigate aberrant brain-language networks in individuals with schizophrenia in relation to linguistic signs. Methods We employed a language model for automatic data extraction. We selected our studies according to the PRISMA recommendations, and we conducted the quality assessment of the selected studies according to the STROBE guidance. Results We analyzed the findings from 37 studies, categorizing them based on patient characteristics, brain measures, and language task types. The inferior frontal gyrus (IFG) and superior temporal gyrus (STG) exhibited the most significant differences among these studies and paradigms. Conclusions We propose guidelines for future research in this field based on our analysis. It is crucial to investigate larger networks involved in language processing, and language models with brain metrics must be integrated to enhance our understanding of the relationship between language and brain abnormalities in schizophrenia.
Collapse
Affiliation(s)
- María F. Alonso-Sanchez
- Escuela de Fonoaudiología, Centro de Investigación del Desarrollo en Cognición y Lenguaje (CIDCL), Facultad de Medicina, Universidad de Valparaíso, Viña del Mar, Chile
| | - Lucía Z-Rivera
- Advanced Center for Electrical and Electronic Engineering (AC3E), Universidad Técnica Federico Santa María, Valparaíso, Chile
| | - Mónica Otero
- Facultad de Ingeniería, Arquitectura y Diseño, Universidad San Sebastián, Santiago de Chile, Chile
- Centro BASAL Ciencia & Vida, Universidad San Sebastián, Santiago de Chile, Chile
| | - Jorge Portal
- Advanced Center for Electrical and Electronic Engineering (AC3E), Universidad Técnica Federico Santa María, Valparaíso, Chile
- Departamento de Electrónica, Univeridad Técnica Federico Santa María (USM), Valparaíso, Chile
| | - Álvaro Cavieres
- Departamento de Psiquiatría, Escuela de Medicina, Universidad de Valparaíso, Valparaíso, Chile
| | - Pedro Alfaro-Faccio
- Instituto de Literatura y Ciencias del Lenguaje, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile
| |
Collapse
|
4
|
Hahn W, Tsalouchidou PE, Nagels A, Straube B. Neural activation during natural speech and rests in patients with schizophrenia and schizophrenia spectrum disorders-an fMRI pilot trial. Front Psychiatry 2024; 15:1402818. [PMID: 38938468 PMCID: PMC11210388 DOI: 10.3389/fpsyt.2024.1402818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Accepted: 05/24/2024] [Indexed: 06/29/2024] Open
Abstract
Background In schizophrenia patients, spontaneous speech production has been hypothesized as correlating with right hemispheric activation, including the inferior frontal and superior temporal gyri as speech-relevant areas. However, robust evidence for this association is still missing. The aim of the present fMRI study is to examine BOLD signal changes during natural, fluent speech production in patients with schizophrenia in the chronic phase of their disease. Methods Using a case-control design, the study included 15 right-handed patients with schizophrenia spectrum disorders as well as 15 healthy controls. The participants described eight pictures from the Thematic Apperception Test for 1 min each, while BOLD signal changes were measured with 3T fMRI. The occurrence of positive and negative formal thought disorders was determined using standardized psychopathological assessments. Results We found significant BOLD signal changes during spontaneous speech production in schizophrenia patients compared to healthy controls, particularly in the right hemispheric network. A post-hoc analysis showed that this right-hemispheric lateralization was mainly driven by activation during experimental rests. Furthermore, the TLI sum value in patients correlated negatively with BOLD signal changes in the right Rolandic operculum. Conclusions Possible underlying factors for this inverse right-hemispheric lateralization of speech-associated areas are structural changes and transmitter system alterations, as well as a lack of neural downregulation in schizophrenia patients during rest periods due to dysfunctional executive functions. When examining spontaneous speech as the most natural form of language, other influencing factors, such as social cognition or emotional processing, should be considered. Our results indicate that future studies should consider group differences during rest, which might provide additional information typically covered in differential contrasts.
Collapse
Affiliation(s)
- Wiebke Hahn
- Department of Neurology, Philipps-University Marburg, Marburg, Germany
| | | | - Arne Nagels
- Department of English and Linguistics, Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Benjamin Straube
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| |
Collapse
|
5
|
Grot S, Smine S, Potvin S, Darcey M, Pavlov V, Genon S, Nguyen H, Orban P. Label-based meta-analysis of functional brain dysconnectivity across mood and psychotic disorders. Prog Neuropsychopharmacol Biol Psychiatry 2024; 131:110950. [PMID: 38266867 DOI: 10.1016/j.pnpbp.2024.110950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 11/11/2023] [Accepted: 01/17/2024] [Indexed: 01/26/2024]
Abstract
BACKGROUND Resting-state functional magnetic resonance imaging (rsfMRI) studies have revealed patterns of functional brain dysconnectivity in psychiatric disorders such as major depression disorder (MDD), bipolar disorder (BD) and schizophrenia (SZ). Although these disorders have been mostly studied in isolation, there is mounting evidence of shared neurobiological alterations across them. METHODS To uncover the nature of the relatedness between these psychiatric disorders, we conducted an innovative meta-analysis of dysconnectivity findings reported separately in MDD, BD and SZ. Rather than relying on a classical voxel level coordinate-based approach, our procedure extracted relevant neuroanatomical labels from text data and examined findings at the whole brain network level. Data were drawn from 428 rsfMRI studies investigating MDD (158 studies, 7429 patients/7414 controls), BD (81 studies, 3330 patients/4096 patients) and/or SZ (223 studies, 11,168 patients/11,754 controls). Permutation testing revealed commonalities and differences in hypoconnectivity and hyperconnectivity patterns across disorders. RESULTS Hypoconnectivity and hyperconnectivity patterns of higher-order cognitive (default-mode, fronto-parietal, cingulo-opercular) networks were similarly observed across the three disorders. By contrast, dysconnectivity of lower-order (somatomotor, visual, auditory) networks in some cases differed between disorders, notably dissociating SZ from BD and MDD. CONCLUSIONS Findings suggest that functional brain dysconnectivity of higher-order cognitive networks is largely transdiagnostic in nature while that of lower-order networks may best discriminate between mood and psychotic disorders, thus emphasizing the relevance of motor and sensory networks to psychiatric neuroscience.
Collapse
Affiliation(s)
- Stéphanie Grot
- Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada; Department of Psychiatry and Addictology, University of Montreal, Montréal, Québec, Canada
| | - Salima Smine
- Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada
| | - Stéphane Potvin
- Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada; Department of Psychiatry and Addictology, University of Montreal, Montréal, Québec, Canada
| | - Maëliss Darcey
- Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada
| | - Vilena Pavlov
- Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada
| | - Sarah Genon
- Institute of Neuroscience and Medicine, Brain and Behavior (INM-7), Research Centre Jülich, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Hien Nguyen
- School of Mathematics and Physics, University of Queensland, St. Lucia, Queensland, Australia; Department of Mathematics and Statistics, Latrobe University, Melbourne, Victoria, Australia
| | - Pierre Orban
- Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada; Department of Psychiatry and Addictology, University of Montreal, Montréal, Québec, Canada.
| |
Collapse
|
6
|
Stein F, Gruber M, Mauritz M, Brosch K, Pfarr JK, Ringwald KG, Thomas-Odenthal F, Wroblewski A, Evermann U, Steinsträter O, Grumbach P, Thiel K, Winter A, Bonnekoh LM, Flinkenflügel K, Goltermann J, Meinert S, Grotegerd D, Bauer J, Opel N, Hahn T, Leehr EJ, Jansen A, de Lange SC, van den Heuvel MP, Nenadić I, Krug A, Dannlowski U, Repple J, Kircher T. Brain Structural Network Connectivity of Formal Thought Disorder Dimensions in Affective and Psychotic Disorders. Biol Psychiatry 2024; 95:629-638. [PMID: 37207935 DOI: 10.1016/j.biopsych.2023.05.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 04/14/2023] [Accepted: 05/04/2023] [Indexed: 05/21/2023]
Abstract
BACKGROUND The psychopathological syndrome of formal thought disorder (FTD) is not only present in schizophrenia (SZ), but also highly prevalent in major depressive disorder and bipolar disorder. It remains unknown how alterations in the structural white matter connectome of the brain correlate with psychopathological FTD dimensions across affective and psychotic disorders. METHODS Using FTD items of the Scale for the Assessment of Positive Symptoms and Scale for the Assessment of Negative Symptoms, we performed exploratory and confirmatory factor analyses in 864 patients with major depressive disorder (n= 689), bipolar disorder (n = 108), or SZ (n = 67) to identify psychopathological FTD dimensions. We used T1- and diffusion-weighted magnetic resonance imaging to reconstruct the structural connectome of the brain. To investigate the association of FTD subdimensions and global structural connectome measures, we employed linear regression models. We used network-based statistic to identify subnetworks of white matter fiber tracts associated with FTD symptomatology. RESULTS Three psychopathological FTD dimensions were delineated, i.e., disorganization, emptiness, and incoherence. Disorganization and incoherence were associated with global dysconnectivity. Network-based statistics identified subnetworks associated with the FTD dimensions disorganization and emptiness but not with the FTD dimension incoherence. Post hoc analyses on subnetworks did not reveal diagnosis × FTD dimension interaction effects. Results remained stable after correcting for medication and disease severity. Confirmatory analyses showed a substantial overlap of nodes from both subnetworks with cortical brain regions previously associated with FTD in SZ. CONCLUSIONS We demonstrated white matter subnetwork dysconnectivity in major depressive disorder, bipolar disorder, and SZ associated with FTD dimensions that predominantly comprise brain regions implicated in speech. Results open an avenue for transdiagnostic, psychopathology-informed, dimensional studies in pathogenetic research.
Collapse
Affiliation(s)
- Frederike Stein
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany.
| | - Marius Gruber
- Institute for Translational Psychiatry, University of Münster, Münster, Germany; Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Goethe University, Frankfurt, Germany
| | - Marco Mauritz
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany
| | - Julia-Katharina Pfarr
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany
| | - Kai G Ringwald
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany
| | - Florian Thomas-Odenthal
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany
| | - Adrian Wroblewski
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany
| | - Ulrika Evermann
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany
| | - Olaf Steinsträter
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany
| | - Pascal Grumbach
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Katharina Thiel
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Alexandra Winter
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Linda M Bonnekoh
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Kira Flinkenflügel
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Janik Goltermann
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Susanne Meinert
- Institute for Translational Psychiatry, University of Münster, Münster, Germany; Institute for Translational Neuroscience, University of Münster, Münster, Germany
| | - Dominik Grotegerd
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Jochen Bauer
- Department of Radiology, University of Münster, Münster, Germany
| | - Nils Opel
- Institute for Translational Psychiatry, University of Münster, Münster, Germany; Department of Psychiatry, Jena University Hospital/Friedrich Schiller University Jena, Jena, Germany
| | - Tim Hahn
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Elisabeth J Leehr
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Andreas Jansen
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany
| | - Siemon C de Lange
- Connectome Lab, Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, the Netherlands; Department of Sleep and Cognition, Netherlands Institute for Neuroscience, an institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
| | - Martijn P van den Heuvel
- Connectome Lab, Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, the Netherlands; Department of Child and Adolescent Psychiatry and Psychology, Section Complex Trait Genetics, Amsterdam Neuroscience, Vrije Universiteit Medical Center, Amsterdam UMC, Amsterdam, the Netherlands
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany
| | - Axel Krug
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Jonathan Repple
- Institute for Translational Psychiatry, University of Münster, Münster, Germany; Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Goethe University, Frankfurt, Germany
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany
| |
Collapse
|
7
|
García-León MÁ, Fuentes-Claramonte P, Soler-Vidal J, Ramiro-Sousa N, Salgado-Pineda P, Salavert J, Torres L, Guerrero-Pedraza A, Tristany J, Karuk A, Barbosa L, Del Olmo-Encabo P, Canut-Altemir P, Munuera J, Sarró S, Salvador R, McKenna PJ, Pomarol-Clotet E. Cortical volume abnormalities in schizophrenia: Correlations with symptoms and cognitive impairment. Schizophr Res 2024; 266:50-57. [PMID: 38368705 DOI: 10.1016/j.schres.2024.01.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 01/10/2024] [Accepted: 01/22/2024] [Indexed: 02/20/2024]
Abstract
BACKGROUND Schizophrenic symptoms are known to segregate into reality distortion, negative and disorganization syndromes, but the correlates of these syndromes with regional brain structural change are not well established. Cognitive impairment is a further clinical feature of schizophrenia, whose brain structural correlates are the subject of conflicting findings. METHODS 165 patients with schizophrenia were rated for symptoms using the PANSS, and cognitive impairment was indexed by estimated premorbid-current IQ discrepancy. Cortical volume was measured using surface-based morphometry in the patients and in 50 healthy controls. Correlations between clinical and cognitive measures and cortical volume were examined using whole-brain FreeSurfer tools. RESULTS No clusters of volume reduction were seen associated with reality distortion or disorganization. Negative symptom scores showed a significant inverse correlation with volume in a small cluster in the left medial orbitofrontal gyrus. Larger estimated premorbid-current IQ discrepancies were associated with clusters of reduced cortical volume in the left precentral gyrus and the left temporal lobe. The cluster of association with negative symptoms disappeared when estimated premorbid-current IQ discrepancy was controlled for. CONCLUSIONS This study does not provide support for an association between brain structural abnormality and reality distortion or disorganization syndromes in schizophrenia. The cluster of volume reduction found in the left medial orbitofrontal cortex correlated with negative symptoms may have reflected the association between this class of symptoms and cognitive impairment. The study adds to existing findings of an association between cognitive impairment and brain structural changes in the disorder.
Collapse
Affiliation(s)
- María Ángeles García-León
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; CIBERSAM, ISCIII, Barcelona, Spain.
| | - Paola Fuentes-Claramonte
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; CIBERSAM, ISCIII, Barcelona, Spain
| | - Joan Soler-Vidal
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; CIBERSAM, ISCIII, Barcelona, Spain; Benito Menni CASM, Sant Boi de Llobregat, Barcelona, Spain
| | | | - Pilar Salgado-Pineda
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; CIBERSAM, ISCIII, Barcelona, Spain
| | | | | | | | | | - Andriana Karuk
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
| | - Lucila Barbosa
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
| | | | | | - Josep Munuera
- Diagnostic Imaging Department, Hospital Sant Joan de Déu, Barcelona, Spain
| | - Salvador Sarró
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; CIBERSAM, ISCIII, Barcelona, Spain
| | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; CIBERSAM, ISCIII, Barcelona, Spain
| | - Peter J McKenna
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; CIBERSAM, ISCIII, Barcelona, Spain.
| | - Edith Pomarol-Clotet
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; CIBERSAM, ISCIII, Barcelona, Spain
| |
Collapse
|
8
|
Guiral JA. Neuropsychological dimensions related to alterations of verbal self-monitoring neural networks in schizophrenic language: systematic review. Front Psychiatry 2024; 15:1356726. [PMID: 38501094 PMCID: PMC10944891 DOI: 10.3389/fpsyt.2024.1356726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Accepted: 01/23/2024] [Indexed: 03/20/2024] Open
Abstract
Although schizophrenia has traditionally been interpreted as a disorder of thought, contemporary perspectives suggest that it may be more appropriate to conceptualize it as a disorder of language connectivity. The linguistic anomalies present in schizophrenia possess distinctive characteristics that, despite certain connections, are not comparable to aphasic disorders. It is proposed that these anomalies are the result of dysfunctions in verbal self-monitoring mechanisms, which may influence other neuropsychological dimensions. This study set out to examine the neuropsychological dimensions associated with alterations in the neural networks of verbal self-monitoring in schizophrenic language, based on the scientific evidence published to date. Exhaustive searches were conducted in PubMed, Web of Science, and Scopus to identify magnetic resonance studies that evaluated verbal self-monitoring mechanisms in schizophrenia. Of a total of 133 articles identified, 22 were selected for qualitative analysis. The general findings indicated alterations in frontotemporoparietal networks and in systems such as the insula, amygdala, anterior cingulate cortex, putamen, and hippocampus. Despite the heterogeneity of the data, it is concluded that language plays a fundamental role in schizophrenia and that its alterations are linked with other neuropsychological dimensions, particularly emotional and perceptual ones.
Collapse
Affiliation(s)
- Julián Andrés Guiral
- Humanities, EAFIT University, Medellín, Colombia
- Instituto de Neuropsicología y Lenguaje, EAFIT University, Medellín, Colombia
| |
Collapse
|
9
|
Cai Y, Peng Z, He Q, Sun P. Behavioral variant frontotemporal dementia associated with GRN and ErbB4 gene mutations: a case report and literature review. BMC Med Genomics 2024; 17:43. [PMID: 38291418 PMCID: PMC10829211 DOI: 10.1186/s12920-024-01819-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Accepted: 01/26/2024] [Indexed: 02/01/2024] Open
Abstract
OBJECTIVE To report the clinical manifestation and genetic characteristics of a patient having frontotemporal dementia (FTD) with abnormal behavior and unstable walking. METHODS The clinical and imaging features of a patient who was eventually diagnosed with FTD were analyzed. The patient's neuropsychological, PET-CT, electromyography, and genetic data were collected. Furthermore, the patient's blood samples were examined for FTD-related genes. RESULTS The patient was a 52-year-old man with hidden onset. The symptoms progressed gradually, presenting with abnormal behaviors, including repeated shopping, taking away other people's things, constantly eating snacks, and frequently calling friends at night. The patient also exhibited executive dysfunction, such as the inability to cook and multiple driving problems, e.g., constantly deviates from his lane while driving. In addition, the patient showed personality changes such as irritability, indifference, and withdrawal, as well as motor symptoms, including unstable walking and frequent falls when walking. Brain magnetic resonance imaging revealed hippocampal sclerosis along with widening and deepening of the bilateral temporal lobe sulcus. Brain metabolic imaging via PET-CT demonstrated decreased metabolism in the bilateral prefrontal lobe, with the abnormal energy metabolism indicating FTD. Lastly, blood sample analysis detected mutations in the amyotrophic lateral sclerosis (ALS)-related GRN gene c.1352C > T (p.P451L) and ErbB4 gene c.256 T > C (p.Y86H). CONCLUSION This is the first case of heterozygous mutations in the GRN and ErbB4 genes in FTD alone. The GRN and ErbB4 genes are likely to be important in the pathogenesis of FTD, expanding the common genetic profile of ALS and FTD.
Collapse
Affiliation(s)
- Youde Cai
- Department of Neurology, The Second People's Hospital of Guiyang, No. 547 Jinyang South Road, Guiyang, Guizhou Province, 550000, China
| | - Zhongyong Peng
- Department of Neurology, The Second People's Hospital of Guiyang, No. 547 Jinyang South Road, Guiyang, Guizhou Province, 550000, China
| | - Qiansong He
- Department of Neurology, The First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou Province, 550000, China
| | - Ping Sun
- Department of Neurology, The Second People's Hospital of Guiyang, No. 547 Jinyang South Road, Guiyang, Guizhou Province, 550000, China.
| |
Collapse
|
10
|
Pilon F, Boisvert M, Potvin S. Losing the chain of thought: A meta-analysis of functional neuroimaging studies using verbal tasks in schizophrenia. J Psychiatr Res 2024; 169:238-246. [PMID: 38048673 DOI: 10.1016/j.jpsychires.2023.11.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Revised: 10/30/2023] [Accepted: 11/15/2023] [Indexed: 12/06/2023]
Abstract
BACKGROUND Disorganization symptoms are a main feature of schizophrenia, which include illogical and incoherent thinking, circumstantiality, tangentiality and loose associations. As these symptoms entail language deficits, several functional neuroimaging studies have been performed in schizophrenia using verbal tasks, producing somewhat heterogenous results. Hence, we performed a meta-analysis seeking to identify the most reliable neural alterations observed in schizophrenia patients during such tasks. METHODS Web of Sciences, PubMed, and EMBASE were searched for functional neuroimaging studies during verbal tasks (e.g. verbal fluency and semantic processing) in schizophrenia. Out of 795 screened articles, 33 were eligible for this meta-analysis. A coordinated-based meta-analysis was performed with the activation likelihood estimation (ALE) approach, using the cluster-level family-wise error (FWE) correction set at p < 0.05. RESULTS In schizophrenia, hyperactivations were observed in the left inferior frontal gyrus (IFG) and middle frontal gyrus (MFG) and hypoactivations were observed in the right IFG, the precentral gyrus and the left caudate nucleus. Another analysis pooling hyper- and hypoactivations revealed altered activations, firstly, in the left IFG and MFG, secondly, in the left precentral gyrus, IFG and insula, and, thirdly, in the left angular gyrus and precuneus. In the light of these results, not only classic language-related regions are abnormally activated during verbal tasks in schizophrenia, but also brain regions involved in executive functions, autobiographical memory and, unexpectedly, in motor functions. Further functional neuroimaging studies are needed to investigate the role of the striatum in linguistic sequencing in schizophrenia.
Collapse
Affiliation(s)
- Florence Pilon
- Centre de Recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, Quebec, Canada; Department of Psychiatry and Addiction, Faculty of Medicine, University of Montreal, Montreal, Quebec, Canada
| | - Mélanie Boisvert
- Centre de Recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, Quebec, Canada; Department of Psychiatry and Addiction, Faculty of Medicine, University of Montreal, Montreal, Quebec, Canada
| | - Stéphane Potvin
- Centre de Recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, Quebec, Canada; Department of Psychiatry and Addiction, Faculty of Medicine, University of Montreal, Montreal, Quebec, Canada.
| |
Collapse
|
11
|
Buciuman MO, Oeztuerk OF, Popovic D, Enrico P, Ruef A, Bieler N, Sarisik E, Weiske J, Dong MS, Dwyer DB, Kambeitz-Ilankovic L, Haas SS, Stainton A, Ruhrmann S, Chisholm K, Kambeitz J, Riecher-Rössler A, Upthegrove R, Schultze-Lutter F, Salokangas RKR, Hietala J, Pantelis C, Lencer R, Meisenzahl E, Wood SJ, Brambilla P, Borgwardt S, Falkai P, Antonucci LA, Bertolino A, Liddle P, Koutsouleris N. Structural and Functional Brain Patterns Predict Formal Thought Disorder's Severity and Its Persistence in Recent-Onset Psychosis: Results From the PRONIA Study. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2023; 8:1207-1217. [PMID: 37343661 DOI: 10.1016/j.bpsc.2023.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Revised: 06/01/2023] [Accepted: 06/03/2023] [Indexed: 06/23/2023]
Abstract
BACKGROUND Formal thought disorder (FThD) is a core feature of psychosis, and its severity and long-term persistence relates to poor clinical outcomes. However, advances in developing early recognition and management tools for FThD are hindered by a lack of insight into the brain-level predictors of FThD states and progression at the individual level. METHODS Two hundred thirty-three individuals with recent-onset psychosis were drawn from the multisite European Prognostic Tools for Early Psychosis Management study. Support vector machine classifiers were trained within a cross-validation framework to separate two FThD symptom-based subgroups (high vs. low FThD severity), using cross-sectional whole-brain multiband fractional amplitude of low frequency fluctuations, gray matter volume and white matter volume data. Moreover, we trained machine learning models on these neuroimaging readouts to predict the persistence of high FThD subgroup membership from baseline to 1-year follow-up. RESULTS Cross-sectionally, multivariate patterns of gray matter volume within the salience, dorsal attention, visual, and ventral attention networks separated the FThD severity subgroups (balanced accuracy [BAC] = 60.8%). Longitudinally, distributed activations/deactivations within all fractional amplitude of low frequency fluctuation sub-bands (BACslow-5 = 73.2%, BACslow-4 = 72.9%, BACslow-3 = 68.0%), gray matter volume patterns overlapping with the cross-sectional ones (BAC = 62.7%), and smaller frontal white matter volume (BAC = 73.1%) predicted the persistence of high FThD severity from baseline to follow-up, with a combined multimodal balanced accuracy of BAC = 77%. CONCLUSIONS We report the first evidence of brain structural and functional patterns predictive of FThD severity and persistence in early psychosis. These findings open up avenues for the development of neuroimaging-based diagnostic, prognostic, and treatment options for the early recognition and management of FThD and associated poor outcomes.
Collapse
Affiliation(s)
- Madalina-Octavia Buciuman
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany; International Max Planck Research School for Translational Psychiatry, Munich, Germany; Max Planck Institute for Psychiatry, Munich, Germany
| | - Oemer Faruk Oeztuerk
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany; International Max Planck Research School for Translational Psychiatry, Munich, Germany; Max Planck Institute for Psychiatry, Munich, Germany
| | - David Popovic
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany; International Max Planck Research School for Translational Psychiatry, Munich, Germany; Max Planck Institute for Psychiatry, Munich, Germany
| | - Paolo Enrico
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Anne Ruef
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany
| | - Nadia Bieler
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany
| | - Elif Sarisik
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany; International Max Planck Research School for Translational Psychiatry, Munich, Germany; Max Planck Institute for Psychiatry, Munich, Germany
| | - Johanna Weiske
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany
| | - Mark Sen Dong
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany
| | - Dominic B Dwyer
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany; Orygen, the National Centre of Excellence for Youth Mental Health, Melbourne, Victoria, Australia
| | - Lana Kambeitz-Ilankovic
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany
| | - Shalaila S Haas
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Alexandra Stainton
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Stephan Ruhrmann
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany
| | | | - Joseph Kambeitz
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany
| | | | - Rachel Upthegrove
- Institute for Mental Health, University of Birmingham, Birmingham, United Kingdom
| | - Frauke Schultze-Lutter
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine-Universität, Düsseldorf, Germany; Department of Psychology, Faculty of Psychology, Airlangga University, Surabaya, Indonesia; University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | | | - Jarmo Hietala
- Department of Psychiatry, University of Turku, Turku, Finland
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne, Carlton South, Melbourne, Victoria, Australia; NorthWestern Mental Health, Royal Melbourne Hospital, Parkville, Melbourne, Victoria, Australia
| | - Rebekka Lencer
- Department of Psychiatry and Psychotherapy, University of Münster, Münster, Germany
| | - Eva Meisenzahl
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine-Universität, Düsseldorf, Germany
| | - Stephen J Wood
- Orygen, the National Centre of Excellence for Youth Mental Health, Melbourne, Victoria, Australia; Centre for Youth Mental Health, University of Melbourne, Melbourne, Victoria, Australia; School of Psychology, University of Birmingham, Birmingham, United Kingdom
| | - Paolo Brambilla
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy; Department of Neurosciences and Mental Health, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - Stefan Borgwardt
- Department of Psychiatry and Psychotherapy, University of Lübeck, Lüebeck, Germany
| | - Peter Falkai
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany; Max Planck Institute for Psychiatry, Munich, Germany
| | - Linda A Antonucci
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany; Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari "Aldo Moro", Bari, Italy
| | - Alessandro Bertolino
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari "Aldo Moro", Bari, Italy; Department of Translational Biomedicine and Neuroscience (DiBraiN) - University of Bari "Aldo Moro," Bari, Italy
| | - Peter Liddle
- Division of Mental Health and Clinical Neuroscience, Institute of Mental Health, School of Medicine, University of Nottingham, Nottingham, United Kingdom
| | - Nikolaos Koutsouleris
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany; Max Planck Institute for Psychiatry, Munich, Germany; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
| |
Collapse
|
12
|
Spironelli C, Marino M, Mantini D, Montalti R, Craven AR, Ersland L, Angrilli A, Hugdahl K. fMRI fluctuations within the language network are correlated with severity of hallucinatory symptoms in schizophrenia. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2023; 9:75. [PMID: 37903802 PMCID: PMC10616281 DOI: 10.1038/s41537-023-00401-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 10/05/2023] [Indexed: 11/01/2023]
Abstract
Although schizophrenia (SZ) represents a complex multiform psychiatric disorder, one of its most striking symptoms are auditory verbal hallucinations (AVH). While the neurophysiological origin of this pervasive symptom has been extensively studied, there is so far no consensus conclusion on the neural correlates of the vulnerability to hallucinate. With a network-based fMRI approach, following the hypothesis of altered hemispheric dominance (Crow, 1997), we expected that LN alterations might result in self-other distinction impairments in SZ patients, and lead to the distressing subjective experiences of hearing voices. We used the independent component analysis of resting-state fMRI data, to first analyze LN connectivity in three groups of participants: SZ patients with and without hallucinations (AVH/D+ and AVH/D-, respectively), and a matched healthy control (HC) group. Then, we assessed the fMRI fluctuations using additional analyses based on fractional Amplitude of Low Frequency-Fluctuations (fALFF), both at the network- and region of interest (ROI)-level. Specific LN nodes were recruited in the right hemisphere (insula and Broca homologous area) for AVH/D+ , but not for HC and AVH/D-, consistent with a left hemisphere deficit in AVH patients. The fALFF analysis at the ROI level showed a negative correlation between fALFF Slow-4 and P1 Delusions PANSS subscale and a positive correlation between the fALFF Slow-5 and P3 Hallucination PANSS subscale for AVH/D+ only. These effects were not a consequence of structural differences between groups, as morphometric analysis did not evidence any group differences. Given the role of language as an emerging property resulting from the integration of many high-level cognitive processes and the underlying cortical areas, our results suggest that LN features from fMRI connectivity and fluctuations can be a marker of neurophysiological features characterizing SZ patients depending on their vulnerability to hallucinate.
Collapse
Affiliation(s)
- Chiara Spironelli
- Department of General Psychology, University of Padova, Padova, Italy.
- Padova Neuroscience Center, University of Padova, Padova, Italy.
| | - Marco Marino
- Department of General Psychology, University of Padova, Padova, Italy.
- Movement Control and Neuroplasticity Research Group, KU Leuven, Leuven, Belgium.
| | - Dante Mantini
- Movement Control and Neuroplasticity Research Group, KU Leuven, Leuven, Belgium
| | - Riccardo Montalti
- Department of General Psychology, University of Padova, Padova, Italy
| | - Alexander R Craven
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
- Department of Clinical Engineering, Haukeland University Hospital, Bergen, Norway
- NORMENT Center of Excellence, Haukeland University Hospital, Bergen, Norway
| | - Lars Ersland
- Department of Clinical Engineering, Haukeland University Hospital, Bergen, Norway
| | - Alessandro Angrilli
- Department of General Psychology, University of Padova, Padova, Italy
- Padova Neuroscience Center, University of Padova, Padova, Italy
| | - Kenneth Hugdahl
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
- Department of Radiology, Haukeland University Hospital, Bergen, Norway
| |
Collapse
|
13
|
Guardiola-Ripoll M, Almodóvar-Payá C, Arias-Magnasco A, Latorre-Guardia M, Papiol S, Canales-Rodríguez EJ, García-León MÁ, Fuentes-Claramonte P, Salavert J, Tristany J, Torres L, Rodríguez-Cano E, Salvador R, Pomarol-Clotet E, Fatjó-Vilas M. Human-specific evolutionary markers linked to foetal neurodevelopment modulate brain surface area in schizophrenia. Commun Biol 2023; 6:1040. [PMID: 37833414 PMCID: PMC10576001 DOI: 10.1038/s42003-023-05356-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 09/13/2023] [Indexed: 10/15/2023] Open
Abstract
Schizophrenia may represent a trade-off in the evolution of human-specific ontogenetic mechanisms that guide neurodevelopment. Human Accelerated Regions (HARs) are evolutionary markers functioning as neurodevelopmental transcription enhancers that have been associated with brain configuration, neural information processing, and schizophrenia risk. Here, we have investigated the influence of HARs' polygenic load on neuroanatomical measures through a case-control approach (128 patients with schizophrenia and 115 controls). To this end, we have calculated the global schizophrenia Polygenic Risk Score (Global PRSSZ) and that specific to HARs (HARs PRSSZ). We have also estimated the polygenic burden restricted to the HARs linked to transcriptional regulatory elements active in the foetal brain (FB-HARs PRSSZ) and the adult brain (AB-HARs PRSSZ). We have explored the main effects of the PRSs and the PRSs x diagnosis interactions on brain regional cortical thickness (CT) and surface area (SA). The results indicate that a higher FB-HARs PRSSZ is associated with patients' lower SA in the lateral orbitofrontal cortex, the superior temporal cortex, the pars triangularis and the paracentral lobule. While noHARs-derived PRSs show an effect on the risk, our neuroanatomical findings suggest that the human-specific transcriptional regulation during the prenatal period underlies SA variability, highlighting the role of these evolutionary markers in the schizophrenia genomic architecture.
Collapse
Affiliation(s)
- Maria Guardiola-Ripoll
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain.
- CIBERSAM (Biomedical Research Network in Mental Health; Instituto de Salud Carlos III), Madrid, Spain.
| | - Carmen Almodóvar-Payá
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
- CIBERSAM (Biomedical Research Network in Mental Health; Instituto de Salud Carlos III), Madrid, Spain
| | | | | | - Sergi Papiol
- CIBERSAM (Biomedical Research Network in Mental Health; Instituto de Salud Carlos III), Madrid, Spain
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
- Max Planck Institute of Psychiatry, Munich, Germany
| | - Erick J Canales-Rodríguez
- CIBERSAM (Biomedical Research Network in Mental Health; Instituto de Salud Carlos III), Madrid, Spain
- Signal Processing Laboratory 5 (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - María Ángeles García-León
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
- CIBERSAM (Biomedical Research Network in Mental Health; Instituto de Salud Carlos III), Madrid, Spain
| | - Paola Fuentes-Claramonte
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
- CIBERSAM (Biomedical Research Network in Mental Health; Instituto de Salud Carlos III), Madrid, Spain
| | - Josep Salavert
- Hospital Sant Rafael, Germanes Hospitalàries, Barcelona, Spain
| | - Josep Tristany
- Hospital Sagrat Cor, Germanes Hospitalàries, Martorell, Spain
| | - Llanos Torres
- Hospital Mare de Déu de la Mercè, Germanes Hospitalàries, Barcelona, Spain
| | - Elena Rodríguez-Cano
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
- CIBERSAM (Biomedical Research Network in Mental Health; Instituto de Salud Carlos III), Madrid, Spain
- Hospital Benito Menni, Germanes Hospitalàries, Sant Boi de Llobregat, Spain
| | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
- CIBERSAM (Biomedical Research Network in Mental Health; Instituto de Salud Carlos III), Madrid, Spain
| | - Edith Pomarol-Clotet
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
- CIBERSAM (Biomedical Research Network in Mental Health; Instituto de Salud Carlos III), Madrid, Spain
| | - Mar Fatjó-Vilas
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain.
- CIBERSAM (Biomedical Research Network in Mental Health; Instituto de Salud Carlos III), Madrid, Spain.
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Universitat de Barcelona, Barcelona, Spain.
| |
Collapse
|
14
|
Xie Y, Guan M, Wang Z, Ma Z, Wang H, Fang P. Alterations in brain connectivity patterns in schizophrenia patients with auditory verbal hallucinations during low frequency repetitive transcranial magnetic stimulation. Psychiatry Res 2023; 328:115457. [PMID: 37716322 DOI: 10.1016/j.psychres.2023.115457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 08/28/2023] [Accepted: 08/31/2023] [Indexed: 09/18/2023]
Abstract
OBJECTIVE Auditory verbal hallucinations (AVH) are a characteristic symptom of schizophrenia. Although low-frequency repetitive transcranial magnetic stimulation (rTMS) has been demonstrated to alleviate the severity of AVH, its exact neurophysiological mechanisms remain unclear. This study aimed to elucidate the alterations in brain connectivity patterns in schizophrenia patients with AVH after low frequency rTMS. Furthermore, the relationship between these alterations and clinical outcomes was examined, thereby identifying potential biomarkers for rTMS treatment efficacy. METHODS A total of 30 schizophrenia patients with AVH and 33 healthy controls were recruited. The patients received 1 Hz rTMS applied to the left temporoparietal junction region over 15 days. Resting-state functional magnetic resonance imaging scans were conducted for all participants. Subsequently, degree centrality (DC) and seed-based functional connectivity (FC) analyses were employed to identify specific alterations in brain connectivity patterns after rTMS treatment. RESULTS At baseline, patients exhibited divergent DC patterns in the frontal, occipital, and limbic lobes compared to healthy controls. In addition, prior to treatment, patients demonstrated altered FC from the superior frontal gyrus seeds that linked to the frontal, temporal, and somatosensory regions. Following rTMS treatment, these abnormalities were notably reversed, correlating with improved clinical outcomes. CONCLUSIONS These findings demonstrate that schizophrenia patients with AVH exhibited atypical interactions within the frontal and temporal lobes. These alterations might be crucial biomarkers for predicting the efficacy of low frequency rTMS.
Collapse
Affiliation(s)
- Yuanjun Xie
- Military Medical Psychology School , Fourth Military Medical University, Xi'an, China; Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
| | - Muzhen Guan
- Department of Mental Health, Xi'an Medical College, Xi'an, China
| | - Zhongheng Wang
- Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Zhujing Ma
- Military Medical Psychology School , Fourth Military Medical University, Xi'an, China
| | - Huaning Wang
- Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
| | - Peng Fang
- Military Medical Psychology School , Fourth Military Medical University, Xi'an, China; Shaanxi Provincial Key Laboratory of Bioelectromagnetic Detection and Intelligent Perception, Xi'an, China.
| |
Collapse
|
15
|
Ruiz-Torras S, Gudayol-Ferré E, Fernández-Vazquez O, Cañete-Massé C, Peró-Cebollero M, Guàrdia-Olmos J. Hypoconnectivity networks in schizophrenia patients: A voxel-wise meta-analysis of Rs-fMRI. Int J Clin Health Psychol 2023; 23:100395. [PMID: 37533450 PMCID: PMC10392089 DOI: 10.1016/j.ijchp.2023.100395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 07/05/2023] [Indexed: 08/04/2023] Open
Abstract
In recent years several meta-analyses regarding resting-state functional connectivity in patients with schizophrenia have been published. The authors have used different data analysis techniques: regional homogeneity, seed-based data analysis, independent component analysis, and amplitude of low frequencies. Hence, we aim to perform a meta-analysis to identify connectivity networks with different activation patterns between people diagnosed with schizophrenia and healthy controls using voxel-wise analysis. METHOD We collected primary studies exploring whole brain connectivity by functional magnetic resonance imaging at rest in patients with schizophrenia compared with healthy controls. We identified 25 studies included high-quality studies that included 1285 patients with schizophrenia and 1279 healthy controls. RESULTS The results indicate hypoactivation in the right precentral gyrus and the left superior temporal gyrus of patients with schizophrenia compared with healthy controls. CONCLUSIONS These regions have been linked with some clinical symptoms usually present in Plea with schizophrenia, such as auditory verbal hallucinations, formal thought disorder, and the comprehension and production of gestures.
Collapse
Affiliation(s)
- Silvia Ruiz-Torras
- Clínica Psicològica de la Universitat de Barcelona, Fundació Josep Finestres, Universitat de Barcelona, Spain
| | | | | | - Cristina Cañete-Massé
- Facultat de Psicologia, Secció de Psicologia Quantitativa, Universitat de Barcelona, Spain
- UB Institute of Complex Systems, Universitat de Barcelona, Spain
| | - Maribel Peró-Cebollero
- Facultat de Psicologia, Secció de Psicologia Quantitativa, Universitat de Barcelona, Spain
- UB Institute of Complex Systems, Universitat de Barcelona, Spain
- Institute of Neuroscience, Universitat de Barcelona, Spain
| | - Joan Guàrdia-Olmos
- Facultat de Psicologia, Secció de Psicologia Quantitativa, Universitat de Barcelona, Spain
- UB Institute of Complex Systems, Universitat de Barcelona, Spain
- Institute of Neuroscience, Universitat de Barcelona, Spain
| |
Collapse
|
16
|
Chaves MF, Rodrigues C, Ribeiro S, Mota NB, Copelli M. Grammatical impairment in schizophrenia: An exploratory study of the pronominal and sentential domains. PLoS One 2023; 18:e0291446. [PMID: 37699027 PMCID: PMC10497169 DOI: 10.1371/journal.pone.0291446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 08/30/2023] [Indexed: 09/14/2023] Open
Abstract
Schizophrenia (SZ) is a severe mental disorder associated with a variety of linguistic deficits, and recently it has been suggested that these deficits are caused by an underlying impairment in the ability to build complex syntactic structures and complex semantic relations. Aiming at contributing to determining the specific linguistic profile of SZ, we investigated the usage of pronominal subjects and sentence types in two corpora of oral dream and waking reports produced by speakers with SZ and participants without SZ (NSZ), both native speakers of Brazilian Portuguese. Narratives of 40 adult participants (20 SZ, and 20 NSZ-sample 1), and narratives of 31 teenage participants (11 SZ undergoing first psychotic episode, and 20 NSZ-sample 2) were annotated and statistically analyzed. Overall, narratives of speakers with SZ presented significantly higher rates of matrix sentences, null pronouns-particularly null 3Person referential pronouns-and lower rates of non-anomalous truncated sentences. The high rate of matrix sentences correlated significantly with the total PANSS scores, suggesting an association between the overuse of simple sentences and SZ symptoms in general. In contrast, the high rate of null pronouns correlated significantly with positive PANSS scores, suggesting an association between the overuse of null pronominal forms and the positive symptoms of SZ. Finally, a cross-group analysis between samples 1 and 2 indicated a higher degree of grammatical impairment in speakers with multiple psychotic episodes. Altogether, the results strengthen the notion that deficits at the pronominal and sentential levels constitute a cross-cultural linguistic marker of SZ.
Collapse
Affiliation(s)
- Monica F. Chaves
- Department of Letters and Literature, Pontifical Catholic University of Rio de Janeiro, PUC-Rio, Rio de Janeiro, RJ, Brazil
| | - Cilene Rodrigues
- Department of Letters and Literature, Pontifical Catholic University of Rio de Janeiro, PUC-Rio, Rio de Janeiro, RJ, Brazil
| | - Sidarta Ribeiro
- Brain Institute, Federal University of Rio Grande do Norte, UFRN, Natal, RN, Brazil
| | - Natália B. Mota
- Department of Psychiatry, Federal University of Rio de Janeiro, UFRJ, Rio de Janeiro, RJ, Brazil
| | - Mauro Copelli
- Department of Physics, Federal University of Pernambuco, UFPE, Recife, PE, Brazil
| |
Collapse
|
17
|
Chen X, Tan W, Cheng Y, Huang D, Liu D, Zhang J, Li J, Liu Z, Pan Y, Palaniyappan L. Polygenic risk for schizophrenia and the language network: Putative compensatory reorganization in unaffected siblings. Psychiatry Res 2023; 326:115319. [PMID: 37352748 DOI: 10.1016/j.psychres.2023.115319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 06/11/2023] [Accepted: 06/18/2023] [Indexed: 06/25/2023]
Abstract
Language-related symptoms, such as disorganized, impoverished speech and communicative behaviors, are one of the core features of schizophrenia. These features most strongly correlate with cognitive deficits and polygenic risk among various symptom dimensions of schizophrenia. Nevertheless, unaffected siblings with genetic high-risk fail to show consistent deficits in language network (LN), indicating that either (1) polygenic risk has no notable effect on LN and/or (2) siblings show compensatory changes in opposing direction to patients. To answer this question, we related polygenic risk scores (PRS) to the region-level, tract-level, and systems-level structure (cortical thickness and fiber connectivity) of LN in 182 patients, 48 unaffected siblings and 135 healthy controls. We also studied the relationships between symptoms, language-related cognition, social functioning and LN structure. We observed a significantly lower thickness in LN (especially the Broca's, Wernicke's area and their right homologues) in patients. Siblings had a distinctly higher thickness in parts of the LN and a more pronounced small-world-like structural integration within the LN. Patients with reduced LN thickness had higher PRS, more disorganization and impoverished speech with lower language-related cognition and social functioning. We conclude that the genetic susceptibility and putative compensatory changes for schizophrenia operate, in part, via key regions in the Language Network.
Collapse
Affiliation(s)
- Xudong Chen
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Wenjian Tan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Yixin Cheng
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Danqing Huang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Dayi Liu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Jiamei Zhang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Jinyue Li
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Zhening Liu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Yunzhi Pan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
| | - Lena Palaniyappan
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada; Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| |
Collapse
|
18
|
Palaniyappan L, Homan P, Alonso-Sanchez MF. Language Network Dysfunction and Formal Thought Disorder in Schizophrenia. Schizophr Bull 2023; 49:486-497. [PMID: 36305160 PMCID: PMC10016399 DOI: 10.1093/schbul/sbac159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
BACKGROUND Pathophysiological inquiries into schizophrenia require a consideration of one of its most defining features: disorganization and impoverishment in verbal behavior. This feature, often captured using the term Formal Thought Disorder (FTD), still remains to be one of the most poorly understood and understudied dimensions of schizophrenia. In particular, the large-scale network level dysfunction that contributes to FTD remains obscure to date. STUDY DESIGN In this narrative review, we consider the various challenges that need to be addressed for us to move towards mapping FTD (construct) to a brain network level account (circuit). STUDY RESULTS The construct-to-circuit mapping goal is now becoming more plausible than it ever was, given the parallel advent of brain stimulation and the tools providing objective readouts of human speech. Notwithstanding this, several challenges remain to be overcome before we can decisively map the neural basis of FTD. We highlight the need for phenotype refinement, robust experimental designs, informed analytical choices, and present plausible targets in and beyond the Language Network for brain stimulation studies in FTD. CONCLUSIONS Developing a therapeutically beneficial pathophysiological model of FTD is a challenging endeavor, but holds the promise of improving interpersonal communication and reducing social disability in schizophrenia. Addressing the issues raised in this review will be a decisive step in this direction.
Collapse
Affiliation(s)
- Lena Palaniyappan
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, Quebec, Canada
- Robarts Research Institute, Western University, London, Ontario, Canada
- Department of Medical Biophysics, Western University, London, Canada
| | - Philipp Homan
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital of the University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University and ETH Zurich, Zurich, Switzerland
| | - Maria F Alonso-Sanchez
- Robarts Research Institute, Western University, London, Ontario, Canada
- CIDCL, Fonoaudiología, Facultad de Medicina, Universidad de Valparaíso, Valparaiso, Chile
| |
Collapse
|
19
|
Zengaffinen F, Stahnke A, Furger S, Wiest R, Dierks T, Strik W, Morishima Y. Computational analysis on verbal fluency reveals heterogeneity in subjective language interests and brain structure. NEUROIMAGE. REPORTS 2023; 3:100159. [PMID: 38606311 PMCID: PMC7615821 DOI: 10.1016/j.ynirp.2023.100159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/22/2023]
Abstract
Language is an essential higher cognitive function in humans and is often affected by psychiatric and neurological disorders. Objective measures like the verbal fluency test are often used to determine language dysfunction. Recent applications of computational approaches broaden insights into language-related functions. In addition, individuals diagnosed with a psychiatric or neurological disorder also often report subjective difficulties in language-related functions. Therefore, we investigated the association between objective and subjective measures of language functioning, on the one hand, and inter-individual structural variations in language-related brain areas, on the other hand. We performed a Latent Semantic analysis (LSA) on a semantic verbal fluency task in 101 healthy adult participants. To investigate if these objective measures are associated with a subjective one, we examined assessed subjective natural tendency of interest in language-related activity with a study-specific questionnaire. Lastly, a voxel-based brain morphometry (VBM) was conducted to reveal associations between objective (LSA) measures and structural changes in language-related brain areas. We found a positive correlation between the LSA measure cosine similarity and the subjective interest in language. Furthermore, we found that higher cosine similarity corresponds to higher gray matter volume in the right cerebellum. The results suggest that people with higher interests in language access semantic knowledge in a more organized way exhibited by higher cosine similarity and have larger grey matter volume in the right cerebellum, when compared to people with lower interests. In conclusion, we demonstrate that there is inter-individual diverseness of accessing the semantic knowledge space and that it is associated with subjective language interests as well as structural differences in the right cerebellum.
Collapse
Affiliation(s)
- Francilia Zengaffinen
- Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Antje Stahnke
- Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Stephan Furger
- Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Roland Wiest
- University Institute of Diagnostic and Interventional Neuroradiology, Inselspital, University of Bern, Bern, Switzerland
| | - Thomas Dierks
- Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Werner Strik
- Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Yosuke Morishima
- Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| |
Collapse
|
20
|
Thought disorder is correlated with atypical spoken binomial orderings. SCHIZOPHRENIA 2022; 8:25. [PMID: 35304875 PMCID: PMC8933394 DOI: 10.1038/s41537-022-00238-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Accepted: 02/23/2022] [Indexed: 11/30/2022]
Abstract
Thought disorder may be associated with subtle language abnormalities. Binomials are pairs of words of the same grammatical type that are joined by a conjunction that often have a preferred order (for example, “up and down” is more common than “down and up”). We analyzed speech transcripts from patients with first-episode psychosis and found that atypical ordering of binomial pairs was associated with thought disorder but not with other psychosis symptoms. These results illustrate the potential to generate objective, quantifiable measures of disorganized speech.
Collapse
|
21
|
Chang X, Zhao W, Kang J, Xiang S, Xie C, Corona-Hernández H, Palaniyappan L, Feng J. Language abnormalities in schizophrenia: binding core symptoms through contemporary empirical evidence. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2022; 8:95. [PMID: 36371445 PMCID: PMC9653408 DOI: 10.1038/s41537-022-00308-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 10/26/2022] [Indexed: 06/16/2023]
Abstract
Both the ability to speak and to infer complex linguistic messages from sounds have been claimed as uniquely human phenomena. In schizophrenia, formal thought disorder (FTD) and auditory verbal hallucinations (AVHs) are manifestations respectively relating to concrete disruptions of those abilities. From an evolutionary perspective, Crow (1997) proposed that "schizophrenia is the price that Homo sapiens pays for the faculty of language". Epidemiological and experimental evidence points to an overlap between FTD and AVHs, yet a thorough investigation examining their shared neural mechanism in schizophrenia is lacking. In this review, we synthesize observations from three key domains. First, neuroanatomical evidence indicates substantial shared abnormalities in language-processing regions between FTD and AVHs, even in the early phases of schizophrenia. Second, neurochemical studies point to a glutamate-related dysfunction in these language-processing brain regions, contributing to verbal production deficits. Third, genetic findings further show how genes that overlap between schizophrenia and language disorders influence neurodevelopment and neurotransmission. We argue that these observations converge into the possibility that a glutamatergic dysfunction in language-processing brain regions might be a shared neural basis of both FTD and AVHs. Investigations of language pathology in schizophrenia could facilitate the development of diagnostic tools and treatments, so we call for multilevel confirmatory analyses focused on modulations of the language network as a therapeutic goal in schizophrenia.
Collapse
Affiliation(s)
- Xiao Chang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
- Zhangjiang Fudan International Innovation Center, Shanghai, China
| | - Wei Zhao
- MOE-LCSM, School of Mathematics and Statistics, Hunan Normal University, Changsha, PR China
| | - Jujiao Kang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
- Shanghai Center for Mathematical Sciences, Shanghai, China
| | - Shitong Xiang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
| | - Chao Xie
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
| | - Hugo Corona-Hernández
- Department of Biomedical Sciences of Cells & Systems, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Lena Palaniyappan
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, Quebec, Canada.
- Robarts Research Institute, University of Western Ontario, London, Ontario, Canada.
- Lawson Health Research Institute, London, Ontario, Canada.
| | - Jianfeng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China.
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China.
- Zhangjiang Fudan International Innovation Center, Shanghai, China.
- Shanghai Center for Mathematical Sciences, Shanghai, China.
- Department of Computer Science, University of Warwick, Coventry, UK.
| |
Collapse
|
22
|
Marino M, Spironelli C, Mantini D, Craven AR, Ersland L, Angrilli A, Hugdahl K. Default mode network alterations underlie auditory verbal hallucinations in schizophrenia. J Psychiatr Res 2022; 155:24-32. [PMID: 35981441 DOI: 10.1016/j.jpsychires.2022.08.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 07/08/2022] [Accepted: 08/04/2022] [Indexed: 10/31/2022]
Abstract
Although alterations of the default mode network (DMN) in schizophrenia (SZ) have been largely investigated, less research has been carried out on DMN alterations in different sub-phenotypes of this disorder. The aim of this pilot study was to compare DMN features among SZ patients with and without auditory verbal hallucinations (AVH). Three groups of 17 participants each were considered: patients with hallucinations (AVH-SZ), patients without hallucinations (nAVH-SZ) and age-matched healthy controls (HC). The DMN spatial pattern was similar between the nAVH-SZ and HC, but the comparison between these two groups and the AVH-SZ group revealed alterations in the left Angular Gyrus (lAG) node of the DMN. Using a novel approach based on normalized fractional Amplitude of Low-Frequency Fluctuations (fALFF), the AVH-SZ subgroup showed altered spectral activity in the DMN compared with the other two groups, especially in the lower-frequency bands (0.017-0.04 Hz). Significant positive correlations were found for both SZ groups collapsed, and for the nAVH-SZ group alone between delusional scores (PANSS-P1) and slow fALFF bands of the DMN. Narrowing the analysis to the ROI centered on the lAG, significant correlations were found in the AVH-SZ group for hallucination scores (PANSS-P3) and Slow-5 and Slow-4 (both positive), and Slow-3 (negative) fALFF bands. Our results reveal the central role of the lAG in relation to hallucinations, an important cortical area connecting auditory cortex with several hubs (including frontal linguistic centers) and involved in auditory process monitoring.
Collapse
Affiliation(s)
- Marco Marino
- Movement Control and Neuroplasticity Research Group, KU Leuven, Belgium; IRCCS San Camillo Hospital, Venice, Italy.
| | - Chiara Spironelli
- Department of General Psychology, University of Padova, Italy; Padova Neuroscience Center, University of Padova, Italy.
| | - Dante Mantini
- Movement Control and Neuroplasticity Research Group, KU Leuven, Belgium
| | - Alexander R Craven
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway; Department of Clinical Engineering, Haukeland University Hospital, Bergen, Norway; Division of Psychiatry and NORMENT Centre of Excellence, Haukeland University Hospital, Bergen, Norway
| | - Lars Ersland
- Department of Clinical Engineering, Haukeland University Hospital, Bergen, Norway
| | - Alessandro Angrilli
- Department of General Psychology, University of Padova, Italy; Padova Neuroscience Center, University of Padova, Italy
| | - Kenneth Hugdahl
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway; Division of Psychiatry and NORMENT Centre of Excellence, Haukeland University Hospital, Bergen, Norway; Department of Radiology, Haukeland University Hospital, Bergen, Norway
| |
Collapse
|
23
|
Yeh TC, Huang CCY, Chung YA, Im JJ, Lin YY, Ma CC, Tzeng NS, Chang CC, Chang HA. High-Frequency Transcranial Random Noise Stimulation over the Left Prefrontal Cortex Increases Resting-State EEG Frontal Alpha Asymmetry in Patients with Schizophrenia. J Pers Med 2022; 12:1667. [PMID: 36294806 PMCID: PMC9604798 DOI: 10.3390/jpm12101667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 10/01/2022] [Accepted: 10/04/2022] [Indexed: 12/05/2022] Open
Abstract
Reduced left-lateralized electroencephalographic (EEG) frontal alpha asymmetry (FAA), a biomarker for the imbalance of interhemispheric frontal activity and motivational disturbances, represents a neuropathological attribute of negative symptoms of schizophrenia. Unidirectional high-frequency transcranial random noise stimulation (hf-tRNS) can increase the excitability of the cortex beneath the stimulating electrode. Yet, it is unclear if hf-tRNS can modulate electroencephalographic FAA in patients with schizophrenia. We performed a randomized, double-blind, sham-controlled clinical trial to contrast hf-tRNS and sham stimulation for treating negative symptoms in 35 schizophrenia patients. We used electroencephalography to investigate if 10 sessions of hf-tRNS delivered twice-a-day for five consecutive weekdays would modulate electroencephalographic FAA in schizophrenia. EEG data were collected and FAA was expressed as the differences between common-log-transformed absolute power values of frontal right and left hemisphere electrodes in the alpha frequency range (8-12.5 Hz). We found that hf-tRNS significantly increased FAA during the first session of stimulation (p = 0.009) and at the 1-week follow-up (p = 0.004) relative to sham stimulation. However, FAA failed to predict and surrogate the improvement in the severity of negative symptoms with hf-tRNS intervention. Together, our findings suggest that modulating electroencephalographic frontal alpha asymmetry by using unidirectional hf-tRNS may play a key role in reducing negative symptoms in patients with schizophrenia.
Collapse
Affiliation(s)
- Ta-Chuan Yeh
- Department of Psychiatry, Tri-Service General Hospital, National Defense Medical Center, Taipei 114201, Taiwan
| | - Cathy Chia-Yu Huang
- Department of Life Sciences, National Central University, Taoyuan 320317, Taiwan
| | - Yong-An Chung
- Department of Nuclear Medicine, College of Medicine, The Catholic University of Korea, Seoul 21431, Korea
| | - Jooyeon Jamie Im
- Department of Nuclear Medicine, College of Medicine, The Catholic University of Korea, Seoul 21431, Korea
| | - Yen-Yue Lin
- Department of Life Sciences, National Central University, Taoyuan 320317, Taiwan
- Department of Emergency Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei 114202, Taiwan
- Department of Emergency Medicine, Taoyuan Armed Forces General Hospital, Taoyuan 325208, Taiwan
| | - Chin-Chao Ma
- Department of Psychiatry, Tri-Service General Hospital Beitou Branch, National Defense Medical Center, Taipei 112003, Taiwan
| | - Nian-Sheng Tzeng
- Department of Psychiatry, Tri-Service General Hospital, National Defense Medical Center, Taipei 114201, Taiwan
| | - Chuan-Chia Chang
- Department of Psychiatry, Tri-Service General Hospital, National Defense Medical Center, Taipei 114201, Taiwan
| | - Hsin-An Chang
- Department of Psychiatry, Tri-Service General Hospital, National Defense Medical Center, Taipei 114201, Taiwan
| |
Collapse
|
24
|
Argote M, Sescousse G, Brunelin J, Fakra E, Nourredine M, Rolland B. Association between formal thought disorder and cannabis use: a systematic review and meta-analysis. SCHIZOPHRENIA 2022; 8:78. [PMID: 36175509 PMCID: PMC9523063 DOI: 10.1038/s41537-022-00286-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 09/10/2022] [Indexed: 10/26/2022]
Abstract
AbstractFormal thought disorder (FTD) is a multidimensional syndrome mainly occurring along the psychosis continuum. Cannabis use is known to increase symptoms of psychosis, particularly positive symptoms. However, the impact of cannabis use on FTD in individuals presenting symptoms along the psychosis continuum remains unclear. To address this knowledge gap, we conducted a meta-analysis examining the association between cannabis use and FTD in those individuals. We hypothesized that cannabis would worsen FTD. We conducted a systematic search of the PubMed, ScienceDirect, PsycINFO, Web of Science, Embase and Google Scholar databases up to July 2022. The results were collated through a random-effects model using the statistical software R. Reference lists of included studies were searched for additional relevant publications. Nineteen studies were included, totalling 1840 cannabis users and 3351 non-cannabis users. The severity of FTD was found to be higher in cannabis users (SMD = 0.21, 95%CI [0.12–0.29], p = 0.00009). Subgroup analyses revealed that FTD severity was increased among cannabis users, regardless of the disorder severity: healthy individuals (SMD = 0.19, 95%CI [0.05–0.33], p = 0.02); patients with first-episode psychosis (SMD = 0.21, 95%CI [0.01–0.41], p = 0.04); patients with schizophrenia (SMD = 0.25, 95%CI [0.11–0.38], p = 0.005). Between-group differences were not significant. In line with its already known effect on positive symptoms in psychosis, cannabis use appears to be associated with increased FTD severity all along the psychosis continuum. Future research should consider potential confounding variables such as other substance use disorders and explore how FTD dimensions are impacted by cannabis use.
Collapse
|
25
|
Riedl L, Nagels A, Sammer G, Choudhury M, Nonnenmann A, Sütterlin A, Feise C, Haslach M, Bitsch F, Straube B. Multimodal speech-gesture training in patients with schizophrenia spectrum disorder: Effects on quality of life and neural processing. Schizophr Res 2022; 246:112-125. [PMID: 35759877 DOI: 10.1016/j.schres.2022.06.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 04/25/2022] [Accepted: 06/11/2022] [Indexed: 12/30/2022]
Abstract
Dysfunctional social communication is one of the most stable characteristics in patients with schizophrenia spectrum disorder (SSD) that severely affects quality of life. Interpreting abstract speech and integrating nonverbal information is particularly affected. Considering the difficulty to treat communication dysfunctions with usual intervention, we investigated the possibility to apply a multimodal speech-gesture (MSG) training. In the MSG training, we offered 8 sessions (60 min each) including perceptive and expressive tasks as well as meta-learning elements and transfer exercises to 29 patients with SSD. In a within-group crossover design, patients were randomized to a TAU-first (treatment as usual first, then MSG training) group (N = 20) or a MSG-first (MSG training first, then TAU only) group (N = 9), and were compared to healthy controls (N = 17). Outcomes were quality of life and related changes in the neural processing of abstract speech-gesture information, which were measured pre-post training through standardized psychological questionnaires and functional Magnetic Resonance Imaging, respectively. Pre-training, patients showed reduced quality of life as compared to controls but improved significantly during the training. Strikingly, this improvement was correlated with neural activation changes in the middle temporal gyrus for the processing of abstract multimodal content. Improvement during training, self-report measures and ratings of relatives confirmed the MSG-related changes. Together, we provide first promising results of a novel multimodal speech-gesture training for patients with schizophrenia. We could link training induced changes in speech-gesture processing to changes in quality of life, demonstrating the relevance of intact communication skills and gesture processing for well-being.
Collapse
Affiliation(s)
- Lydia Riedl
- Translational Neuroimaging Lab, Department of Psychiatry and Psychotherapy, Philipps-University, Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), Philipps-University Marburg and Justus Liebig University, Giessen, Germany.
| | - Arne Nagels
- Department of English and Linguistics, Johannes-Gutenberg-University, Mainz, Germany
| | - Gebhard Sammer
- Department of Psychiatry and Psychotherapy, Justus-Liebig-University, Giessen, Germany
| | - Momoko Choudhury
- Translational Neuroimaging Lab, Department of Psychiatry and Psychotherapy, Philipps-University, Marburg, Germany
| | - Annika Nonnenmann
- Translational Neuroimaging Lab, Department of Psychiatry and Psychotherapy, Philipps-University, Marburg, Germany
| | - Anne Sütterlin
- Translational Neuroimaging Lab, Department of Psychiatry and Psychotherapy, Philipps-University, Marburg, Germany
| | - Chiara Feise
- Translational Neuroimaging Lab, Department of Psychiatry and Psychotherapy, Philipps-University, Marburg, Germany
| | - Maxi Haslach
- Translational Neuroimaging Lab, Department of Psychiatry and Psychotherapy, Philipps-University, Marburg, Germany
| | - Florian Bitsch
- Translational Neuroimaging Lab, Department of Psychiatry and Psychotherapy, Philipps-University, Marburg, Germany
| | - Benjamin Straube
- Translational Neuroimaging Lab, Department of Psychiatry and Psychotherapy, Philipps-University, Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), Philipps-University Marburg and Justus Liebig University, Giessen, Germany
| |
Collapse
|
26
|
Darnai G, Perlaki G, Orsi G, Arató Á, Szente A, Horváth R, Áfra E, Nagy SA, Kovács N, Dóczi T, Janszky J. Language processing in Internet use disorder: Task-based fMRI study. PLoS One 2022; 17:e0269979. [PMID: 35749379 PMCID: PMC9231743 DOI: 10.1371/journal.pone.0269979] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 06/01/2022] [Indexed: 11/19/2022] Open
Abstract
Internet use disorder (IUD) is generally conceptualized as a fast-growing behavioral addiction. Several structural and functional brain alterations have been revealed in this condition, but previous behavioral studies indicated that language systems may also be impaired. We used a silent word generation task to induce brain activation in Broca’s area and other parts of the language system. Blood-oxygen-level-dependent activation analysis and psychophysiological interaction analysis were applied to assess functional brain changes. IUD was measured by the Problematic Internet Use Questionnaire and two additional questions concerning usage time and subjective rating of addiction. According to our key findings, areas strongly related to the default mode network were altered in IUD during the task. Moreover, Broca’s area showed altered functional connectivity with other language network and occipital areas in IUD. These findings may address the neural background of decreased verbal fluency performance previously reported in the literature, and we emphasize that beside the brain’s reward and inhibitory control systems, the language system is the next candidate to be involved in the pathogenesis of IUD.
Collapse
Affiliation(s)
- Gergely Darnai
- Department of Behavioural Sciences, Medical School, University of Pécs, Pécs, Hungary
- Department of Neurology, Medical School, University of Pécs, Pécs, Hungary
- MTA-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary
- * E-mail:
| | - Gábor Perlaki
- Department of Neurology, Medical School, University of Pécs, Pécs, Hungary
- MTA-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary
- Pécs Diagnostic Centre, Pécs, Hungary
| | - Gergely Orsi
- MTA-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary
- Pécs Diagnostic Centre, Pécs, Hungary
- Department of Neurosurgery, Medical School, University of Pécs, Pécs, Hungary
| | - Ákos Arató
- Department of Neurology, Medical School, University of Pécs, Pécs, Hungary
| | - Anna Szente
- Department of Neurology, Medical School, University of Pécs, Pécs, Hungary
| | - Réka Horváth
- Department of Neurology, Medical School, University of Pécs, Pécs, Hungary
| | - Eszter Áfra
- Department of Behavioural Sciences, Medical School, University of Pécs, Pécs, Hungary
| | - Szilvia Anett Nagy
- MTA-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary
- Pécs Diagnostic Centre, Pécs, Hungary
- Department of Neurosurgery, Medical School, University of Pécs, Pécs, Hungary
- Neurobiology of Stress Research Group, Szentágothai Research Centre, University of Pécs, Pécs, Hungary
- Department of Laboratory Medicine, Medical School, University of Pécs, Pécs, Hungary
| | - Norbert Kovács
- Department of Neurology, Medical School, University of Pécs, Pécs, Hungary
- MTA-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary
| | - Tamás Dóczi
- MTA-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary
- Department of Neurosurgery, Medical School, University of Pécs, Pécs, Hungary
| | - József Janszky
- Department of Neurology, Medical School, University of Pécs, Pécs, Hungary
- MTA-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary
| |
Collapse
|
27
|
Morese R, Brasso C, Stanziano M, Parola A, Valentini MC, Bosco FM, Rocca P. Efforts for the Correct Comprehension of Deceitful and Ironic Communicative Intentions in Schizophrenia: A Functional Magnetic Resonance Imaging Study on the Role of the Left Middle Temporal Gyrus. Front Psychol 2022; 13:866160. [PMID: 35774960 PMCID: PMC9237627 DOI: 10.3389/fpsyg.2022.866160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Accepted: 05/18/2022] [Indexed: 11/13/2022] Open
Abstract
Deficits in social cognition and more specifically in communication have an important impact on the real-life functioning of people with schizophrenia (SZ). In particular, patients have severe problems in communicative-pragmatics, for example, in correctly inferring the speaker's communicative intention in everyday conversational interactions. This limit is associated with morphological and functional alteration of the left middle temporal gyrus (L-MTG), a cerebral area involved in various communicative processes, in particular in the distinction of ironic communicative intention from sincere and deceitful ones. We performed an fMRI study on 20 patients with SZ and 20 matched healthy controls (HCs) while performing a pragmatic task testing the comprehension of sincere, deceitful, and ironic communicative intentions. We considered the L-MTG as the region of interest. SZ patients showed difficulties in the correct comprehension of all types of communicative intentions and, when correctly answering to the task, they exhibited a higher activation of the L-MTG, as compared to HC, under all experimental conditions. This greater involvement of the L-MTG in the group of patients could depend on different factors, such as the increasing inferential effort required in correctly understanding the speaker's communicative intentions, and the higher integrative semantic processes involved in sentence processing. Future studies with a larger sample size and functional connectivity analysis are needed to study deeper the specific role of the L-MTG in pragmatic processes in SZ, also in relation to other brain areas.
Collapse
Affiliation(s)
- R. Morese
- Faculty of Communication, Culture and Society, Università della Svizzera italiana, Lugano, Switzerland
- Faculty of Biomedical Sciences, Università della Svizzera italiana, Lugano, Switzerland
| | - C. Brasso
- Department of Neuroscience Rita Levi Montalcini, University of Turin, Turin, Italy
- Struttura Complessa di Psichiatria Universitaria, Dipartimento di Neuroscienze e Salute Mentale, Azienda Ospedaliera Universitaria “Città della Salute e della Scienza di Torino”, Turin, Italy
| | - M. Stanziano
- Department of Neuroscience Rita Levi Montalcini, University of Turin, Turin, Italy
- Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - A. Parola
- Research Group on Inferential Processes in Social Interaction (GIPSI), Department of Psychology, University of Turin, Turin, Italy
| | - M. C. Valentini
- Struttura Complessa di Neuroradiologia, Dipartimento Diagnostica per Immagini e Radiologia interventistica, Azienda Ospedaliera Universitaria “Città della Salute e della Scienza di Torino”, Turin, Italy
| | - F. M. Bosco
- Research Group on Inferential Processes in Social Interaction (GIPSI), Department of Psychology, University of Turin, Turin, Italy
| | - P. Rocca
- Department of Neuroscience Rita Levi Montalcini, University of Turin, Turin, Italy
- Struttura Complessa di Psichiatria Universitaria, Dipartimento di Neuroscienze e Salute Mentale, Azienda Ospedaliera Universitaria “Città della Salute e della Scienza di Torino”, Turin, Italy
| |
Collapse
|
28
|
Musa A, Khan S, Mujahid M, El-Gaby M. The shallow cognitive map hypothesis: A hippocampal framework for thought disorder in schizophrenia. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2022; 8:34. [PMID: 35853896 PMCID: PMC9261089 DOI: 10.1038/s41537-022-00247-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 03/11/2022] [Indexed: 12/31/2022]
Abstract
Memories are not formed in isolation. They are associated and organized into relational knowledge structures that allow coherent thought. Failure to express such coherent thought is a key hallmark of Schizophrenia. Here we explore the hypothesis that thought disorder arises from disorganized Hippocampal cognitive maps. In doing so, we combine insights from two key lines of investigation, one concerning the neural signatures of cognitive mapping, and another that seeks to understand lower-level cellular mechanisms of cognition within a dynamical systems framework. Specifically, we propose that multiple distinct pathological pathways converge on the shallowing of Hippocampal attractors, giving rise to disorganized Hippocampal cognitive maps and driving conceptual disorganization. We discuss the available evidence at the computational, behavioural, network, and cellular levels. We also outline testable predictions from this framework, including how it could unify major chemical and psychological theories of schizophrenia and how it can provide a rationale for understanding the aetiology and treatment of the disease.
Collapse
Affiliation(s)
- Ayesha Musa
- Green Templeton College, University of Oxford, Oxford, OX2 6HG, UK
| | - Safia Khan
- Green Templeton College, University of Oxford, Oxford, OX2 6HG, UK
| | - Minahil Mujahid
- St Anne's college, University of Oxford, Oxford, OX2 6HS, UK
| | - Mohamady El-Gaby
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX1 3SR, UK.
| |
Collapse
|
29
|
Soldevila-Matías P, Schoretsanitis G, Tordesillas-Gutierrez D, Cuesta MJ, de Filippis R, Ayesa-Arriola R, González-Vivas C, Setién-Suero E, Verdolini N, Sanjuán J, Radua J, Crespo-Facorro B. Neuroimaging correlates of insight in non-affective psychosis: A systematic review and meta-analysis. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2022; 15:117-133. [PMID: 35840278 DOI: 10.1016/j.rpsmen.2022.06.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 07/01/2021] [Indexed: 06/15/2023]
Abstract
OBJECTIVE Neurological correlates of impaired insight in non-affective psychosis remain unclear. This study aimed to review and meta-analyze the studies assessing the grey matter volumetric correlates of impaired insight in non-affective psychosis. METHODS This study consisted of a systematic review of 23 studies, and a meta-analysis with SDM-PSI of the 11 studies that were whole-brain and reported maps or peaks of correlation of studies investigating the grey matter volumetric correlates of insight assessments of non-affective psychosis, PubMed and OVID datasets were independently reviewed for articles reporting neuroimaging correlates of insight in non-affective psychosis. Quality assessment was realized following previous methodological approaches for the ABC quality assessment test of imaging studies, based on two main criteria: the statistical power and the multidimensional assessment of insight. Study peaks of correlation between grey matter volume and insight were used to recreate brain correlation maps. RESULTS A total of 418 records were identified through database searching. Of these records, twenty-three magnetic resonance imaging (MRI) studies that used different insight scales were included. The quality of the evidence was high in 11 studies, moderate in nine, and low in three. Patients with reduced insight showed decreases in the frontal, temporal (specifically in superior temporal gyrus), precuneus, cingulate, insula, and occipital lobes cortical grey matter volume. The meta-analysis indicated a positive correlation between grey matter volume and insight in the right insula (i.e., the smaller the grey matter, the lower the insight). CONCLUSION Several brain areas might be involved in impaired insight in patients with non-affective psychoses. The methodologies employed, such as the applied insight scales, may have contributed to the considerable discrepancies in the findings.
Collapse
Affiliation(s)
- Pau Soldevila-Matías
- Department of Basic Psychology, Faculty of Psychology, University of Valencia, Valencia, Spain; Research Institute of Clinic University Hospital of Valencia (INCLIVA), Valencia, Spain; National Reference Center for Psychosocial Care for People with Serious Mental Disorder (CREAP), Valencia, Spain
| | - Georgios Schoretsanitis
- The Zucker Hillside Hospital, Psychiatry Research, Northwell Health, Glen Oaks, New York, USA
| | - Diana Tordesillas-Gutierrez
- Marqués de Valdecilla University Hospital, Department of Radiology, IDIVAL, Santander, Spain; Marqués de Valdecilla University Hospital, Department of Psychiatry, School of Medicine, University of Cantabria, IDIVAL, Santander, Spain; CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain.
| | - Manuel J Cuesta
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Renato de Filippis
- The Zucker Hillside Hospital, Psychiatry Research, Northwell Health, Glen Oaks, New York, USA; Psychiatry Unit Department of Health Sciences, University Magna Graecia of Catanzaro, Catanzaro 88100, Italy
| | - Rosa Ayesa-Arriola
- Marqués de Valdecilla University Hospital, Department of Radiology, IDIVAL, Santander, Spain; Marqués de Valdecilla University Hospital, Department of Psychiatry, School of Medicine, University of Cantabria, IDIVAL, Santander, Spain; CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain
| | - Carlos González-Vivas
- Research Institute of Clinic University Hospital of Valencia (INCLIVA), Valencia, Spain
| | - Esther Setién-Suero
- Marqués de Valdecilla University Hospital, Department of Radiology, IDIVAL, Santander, Spain; Marqués de Valdecilla University Hospital, Department of Psychiatry, School of Medicine, University of Cantabria, IDIVAL, Santander, Spain; CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain
| | - Norma Verdolini
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel Street, 12-0, 08036 Barcelona, Spain
| | - Julio Sanjuán
- Research Institute of Clinic University Hospital of Valencia (INCLIVA), Valencia, Spain; CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain; Department of Psychiatric, University of Valencia, School of Medicine, Valencia, Spain
| | - Joaquim Radua
- CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centre for Psychiatric Research and Education, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Benedicto Crespo-Facorro
- Marqués de Valdecilla University Hospital, Department of Radiology, IDIVAL, Santander, Spain; Marqués de Valdecilla University Hospital, Department of Psychiatry, School of Medicine, University of Cantabria, IDIVAL, Santander, Spain; CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain
| |
Collapse
|
30
|
Stein F, Buckenmayer E, Brosch K, Meller T, Schmitt S, Ringwald KG, Pfarr JK, Steinsträter O, Enneking V, Grotegerd D, Heindel W, Meinert S, Leehr EJ, Lemke H, Thiel K, Waltemate L, Winter A, Hahn T, Dannlowski U, Jansen A, Nenadić I, Krug A, Kircher T. Dimensions of Formal Thought Disorder and Their Relation to Gray- and White Matter Brain Structure in Affective and Psychotic Disorders. Schizophr Bull 2022; 48:902-911. [PMID: 35064667 PMCID: PMC9212109 DOI: 10.1093/schbul/sbac002] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
Factorial dimensions and neurobiological underpinnings of formal thought disorders (FTD) have been extensively investigated in schizophrenia spectrum disorders (SSD). However, FTD are also highly prevalent in other disorders. Still, there is a lack of knowledge about transdiagnostic, structural brain correlates of FTD. In N = 1071 patients suffering from DSM-IV major depressive disorder, bipolar disorder, or SSD, we calculated a psychopathological factor model of FTD based on the SAPS and SANS scales. We tested the association of FTD dimensions with 3 T MRI measured gray matter volume (GMV) and white matter fractional anisotropy (FA) using regression and interaction models in SPM12. We performed post hoc confirmatory analyses in diagnostically equally distributed, age- and sex-matched sub-samples to test whether results were driven by diagnostic categories. Cross-validation (explorative and confirmatory) factor analyses revealed three psychopathological FTD factors: disorganization, emptiness, and incoherence. Disorganization was negatively correlated with a GMV cluster comprising parts of the middle occipital and angular gyri and positively with FA in the right posterior cingulum bundle and inferior longitudinal fascicle. Emptiness was negatively associated with left hippocampus and thalamus GMV. Incoherence was negatively associated with FA in bilateral anterior thalamic radiation, and positively with the hippocampal part of the right cingulum bundle. None of the gray or white matter associations interacted with diagnosis. Our results provide a refined mapping of cross-disorder FTD phenotype dimensions. For the first time, we demonstrated that their neuroanatomical signatures are associated with language-related gray and white matter structures independent of diagnosis.
Collapse
Affiliation(s)
- Frederike Stein
- To whom correspondence should be addressed; Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; tel: +49-6421-58 63831, fax: +49-6421-58 65197, e-mail:
| | - Elena Buckenmayer
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany
| | - Tina Meller
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany
| | - Simon Schmitt
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany,Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Kai Gustav Ringwald
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany
| | - Julia Katharina Pfarr
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany
| | - Olaf Steinsträter
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany,Core-Facility Brainimaging, Faculty of Medicine, Philipps-University Marburg, Marburg, Germany
| | - Verena Enneking
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Dominik Grotegerd
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Walter Heindel
- Department of Radiology, University of Münster, Münster, Germany
| | - Susanne Meinert
- Institute for Translational Psychiatry, University of Münster, Münster, Germany,Institute for Translational Neuroscience, University of Münster, Münster, Germany
| | - Elisabeth J Leehr
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Hannah Lemke
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Katharina Thiel
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Lena Waltemate
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Alexandra Winter
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Tim Hahn
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Andreas Jansen
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany,Core-Facility Brainimaging, Faculty of Medicine, Philipps-University Marburg, Marburg, Germany
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany
| | - Axel Krug
- Department of Psychiatry und Psychotherapy, University of Bonn, Bonn, Germany
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany
| |
Collapse
|
31
|
Chen S, Tang Y, Fan X, Qiao Y, Wang J, Wen H, Wang W, Wang H, Yang F, Sheng J. The role of white matter abnormality in the left anterior corona radiata: In relation to formal thought disorder in patients with schizophrenia. Psychiatry Res 2022; 307:114302. [PMID: 34890908 DOI: 10.1016/j.psychres.2021.114302] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2020] [Revised: 11/17/2021] [Accepted: 11/19/2021] [Indexed: 12/27/2022]
Abstract
White matter abnormality has been widely reported in patients with schizophrenia (Sz). However, few studies have focused on the relationship between the white matter deficit and formal thought disorder (FTD). Moreover, the role of genetic high risk in FTD-related white matter deficit remains unclear. The present study recruited 46 Sz patients, 18 unaffected first-degree relatives of Sz patients, and 29 healthy controls. There was a widespread fractional anisotropy (FA) reduction in Sz. In addition, reduced FA in the left anterior corona radiata was related to more severe FTD symptoms in Sz. However, the genetic high-risk group only showed lower mean FA in the left anterior limb of the internal capsule than healthy controls. Our findings suggest that abnormality in the left anterior corona radiata may only occur in Sz but not in the genetic high-risk group. Such an abnormality might be associated with the severity of FTD symptoms. Meanwhile, genetic vulnerability may contribute to the abnormality in the left anterior limb of the internal capsule. Better analytical methods are needed to validate our results.
Collapse
Affiliation(s)
- Shan Chen
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai 200030, China
| | - Yingying Tang
- Shanghai Key Laboratory of Psychotic Disorders,Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Department of EEG and Imaging, Shanghai Mental Health Center, Shanghai JiaoTong University School of Medicine, Shanghai 200030, China
| | - Xiaoduo Fan
- UMass Memorial Health Care & University of Massachusetts Medical School, Worcester, MA 01605, United States
| | - Yi Qiao
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai 200030, China
| | - Jijun Wang
- Shanghai Key Laboratory of Psychotic Disorders,Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Department of EEG and Imaging, Shanghai Mental Health Center, Shanghai JiaoTong University School of Medicine, Shanghai 200030, China
| | - Hun Wen
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai 200030, China
| | - Wenzheng Wang
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai 200030, China
| | - Hongyan Wang
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai 200030, China
| | - Fuzhong Yang
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai 200030, China.
| | - Jianhua Sheng
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai 200030, China.
| |
Collapse
|
32
|
Hahn W, Domahs F, Straube B, Kircher T, Nagels A. Neural processing of nouns and verbs in spontaneous speech of patients with schizophrenia. Psychiatry Res Neuroimaging 2021; 318:111395. [PMID: 34710797 DOI: 10.1016/j.pscychresns.2021.111395] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Revised: 09/05/2021] [Accepted: 09/18/2021] [Indexed: 11/25/2022]
Abstract
Previous fMRI-studies investigating the production of nouns and verbs in healthy participants reported predominantly activation in the left inferior frontal gyrus (IFG) for both classes of words with increased neural responses for verbs. To date, comparable imaging data for spontaneous speech in patients with schizophrenia is missing. These results are novel and may contribute to understand the neural basis of noun and verb production in a "natural" environment. Fifteen patients with schizophrenia and fifteen healthy control participants described pictures for one minute each while BOLD signal changes were measured with fMRI. In an event-related design, activations related to noun and verb production were extracted in the imaging analysis. Imaging results revealed increased activation for nouns and decreased activation for verbs in the left IFG in the patients. A post-hoc analysis revealed that patients produced significantly more transitive verbs which were negatively associated with activation in the left IFG. We conclude that a subtle linguistic processing deficit in schizophrenia may lead to an increased use of transitive as compared to intransitive verbs in connected speech and to a deviant pattern of brain activation related to the processing of verbs.
Collapse
Affiliation(s)
- Wiebke Hahn
- Department of Neurology, Philipps-University Marburg, Baldingerstraße, 35043 Marburg Germany.
| | - Frank Domahs
- Department of Applied Linguistics and Psycholinguistic, University Erfurt, Nordhäuserstr. 63, 99089 Erfurt, Germany
| | - Benjamin Straube
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Rudolf-Bultmann-Straße 8, 35039 Marburg, Germany
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Rudolf-Bultmann-Straße 8, 35039 Marburg, Germany
| | - Arne Nagels
- Department of English and Linguistics, Johannes Gutenberg-University Mainz, Jakob-Welder-Weg 18, 55128 Mainz, Germany
| |
Collapse
|
33
|
Neumeier MS, Homan S, Vetter S, Seifritz E, Kane JM, Huhn M, Leucht S, Homan P. Examining Side Effect Variability of Antipsychotic Treatment in Schizophrenia Spectrum Disorders: A Meta-analysis of Variance. Schizophr Bull 2021; 47:1601-1610. [PMID: 34374418 PMCID: PMC8530397 DOI: 10.1093/schbul/sbab078] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Side effects of antipsychotic drugs play a key role in nonadherence of treatment in schizophrenia spectrum disorders (SSD). While clinical observations suggest that side effect variability between patients may be considerable, statistical evidence is required to confirm this. Here, we hypothesized to find larger side effect variability under treatment compared with control. We included double-blind, placebo-controlled, randomized controlled trials (RCTs) of adults with a diagnosis of SSD treated with 1 out of 14 antipsychotics. Standard deviations of the pre-post treatment differences of weight gain, prolactin levels, and corrected QT (QTc) times were extracted. The outcome measure was the variability ratio of treatment to control for individual antipsychotic drugs and the overall variability ratio of treatment to control across RCTs. Individual variability ratios were weighted by the inverse-variance method and entered into a random-effects model. We included N = 16 578 patients for weight gain, N = 16 633 patients for prolactin levels, and N = 10 384 patients for QTc time. Variability ratios (VR) were significantly increased for weight gain (VR = 1.08; 95% CI: 1.02-1.14; P = .004) and prolactin levels (VR = 1.38; 95% CI: 1.17-1.62; P < .001) but did not reach significance for QTc time (VR = 1.05; 95% CI: 0.98-1.12; P = 0.135). We found marked differences between individual antipsychotics and increased variability in side effects in patients under treatment with antipsychotics suggesting that subgroups of patients or individual patients may benefit from treatment allocation through stratified or personalized medicine.
Collapse
Affiliation(s)
| | - Stephanie Homan
- University Hospital of Psychiatry Zurich, Zurich, Switzerland
| | - Stefan Vetter
- University Hospital of Psychiatry Zurich, Zurich, Switzerland
| | - Erich Seifritz
- University Hospital of Psychiatry Zurich, Zurich, Switzerland
| | - John M Kane
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA
- Division of Psychiatry Research, Zucker Hillside Hospital, Northwell Health, New York, NY, USA
- Department of Psychiatry, Zucker School of Medicine at Northwell/Hofstra, Hempstead, NY, USA
| | - Maximilian Huhn
- Department of Psychiatry and Psychotherapy, Technical University of Munich, School of Medicine, Munich, Germany
| | - Stefan Leucht
- Department of Psychiatry and Psychotherapy, Technical University of Munich, School of Medicine, Munich, Germany
| | - Philipp Homan
- University Hospital of Psychiatry Zurich, Zurich, Switzerland
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA
- Division of Psychiatry Research, Zucker Hillside Hospital, Northwell Health, New York, NY, USA
- Department of Psychiatry, Zucker School of Medicine at Northwell/Hofstra, Hempstead, NY, USA
| |
Collapse
|
34
|
Almeida VN, Radanovic M. Semantic priming and neurobiology in schizophrenia: A theoretical review. Neuropsychologia 2021; 163:108058. [PMID: 34655651 DOI: 10.1016/j.neuropsychologia.2021.108058] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 10/06/2021] [Accepted: 10/07/2021] [Indexed: 12/11/2022]
Abstract
In this theoretical review we bridge the cognitive and neurobiological sciences to shed light on the neurocognitive foundations of the semantic priming effect in schizophrenia. We review and theoretically evaluate the neurotransmitter systems (dopaminergic, GABAergic and glutamatergic) and neurobiological underpinnings of behavioural and electrophysiological (N400) semantic priming in the pathology, and the main hypotheses on their geneses: a disinhibition of the semantic spread of activation, a disorganised semantic storage or noisy lexical-semantic associations, a psychomotor artefact, an artefact of relatedness proportions, or an inability to mobilise contextual information. We further assess the literature on the endophenotype of Formal Thought Disorder from multiple standpoints, ranging from neurophysiology to cognition: considerations are weaved on neuronal (PV basket cell, SST, VIP) and receptor deficits (DRD1, NMDA), neurotransmitter imbalances (dopamine), cortical and dopaminergic lateralisation, inter alia. In conclusion, we put forth novel postulates on the underlying causes of controlled hypopriming, automatic hyperpriming, N400 reversals (larger amplitudes for close associations), indirect versus direct hyperpriming, and the endophenotype of lexical-semantic disturbances in schizophrenia.
Collapse
Affiliation(s)
- Victor N Almeida
- Faculdade de Letras, Universidade Federal de Minas Gerais (UFMG), Av. Pres. Antônio Carlos, 6627 - Pampulha, Belo Horizonte, MG, 31270-901, Brazil.
| | - Marcia Radanovic
- Laboratório de Neurociências (LIM-27), Faculdade de Medicina, Departamento e Instituto de Psiquiatria, Hospital das Clínicas HCFMUSP, Universidade de São Paulo, Brazil
| |
Collapse
|
35
|
Detecting formal thought disorder by deep contextualized word representations. Psychiatry Res 2021; 304:114135. [PMID: 34343877 DOI: 10.1016/j.psychres.2021.114135] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Revised: 07/21/2021] [Accepted: 07/22/2021] [Indexed: 12/26/2022]
Abstract
Computational linguistics has enabled the introduction of objective tools that measure some of the symptoms of schizophrenia, including the coherence of speech associated with formal thought disorder (FTD). Our goal was to investigate whether neural network based utterance embeddings are more accurate in detecting FTD than models based on individual indicators. The present research used a comprehensive Embeddings from Language Models (ELMo) approach to represent interviews with patients suffering from schizophrenia (N=35) and with healthy people (N=35). We compared its results to the approach described by Bedi et al. (2015), referred to here as the coherence model. Evaluations were also performed by a clinician using the Scale for the Assessment of Thought, Language and Communication (TLC). Using all six TLC questions the ELMo obtained an accuracy of 80% in distinguishing patients from healthy people. Previously used coherence models were less accurate at 70%. The classifying clinician was accurate 74% of the time. Our analysis shows that both ELMo and TLC are sensitive to the symptoms of disorganization in patients. In this study methods using text representations from language models were more accurate than those based solely on the assessment of FTD, and can be used as measures of disordered language that complement human clinical ratings.
Collapse
|
36
|
Marzouk T, Winkelbeiner S, Azizi H, Malhotra AK, Homan P. Transcranial Magnetic Stimulation for Positive Symptoms in Schizophrenia: A Systematic Review. Neuropsychobiology 2021; 79:384-396. [PMID: 31505508 DOI: 10.1159/000502148] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Accepted: 07/16/2019] [Indexed: 11/19/2022]
Abstract
Transcranial magnetic stimulation (TMS) has been proposed as a potential treatment add-on for positive symptoms in schizophrenia. To summarize the current evidence for its efficacy, we reviewed clinical trials from the last 20 years that investigated TMS for positive symptoms. We performed a search on the PubMed database for clinical trials that used TMS for the treatment of positive symptoms published in peer-reviewed journals. We excluded reviews, case reports, and opinion papers. Of the 30 studies included, the majority (n = 25) investigated auditory verbal hallucinations. Twelve studies found evidence for a positive treatment effect of TMS on positive symptoms, while 18 did not find enough evidence to conclude that TMS is effective for positive symptoms. However, the small sample size of the majority of studies is a limiting factor for the reliability of previous findings. In conclusion, evidence for an effect of TMS on positive symptoms was mixed. Since most of the studies were performed in patients with auditory verbal hallucinations, further research of TMS for other positive symptoms including thought disorder and delusions is warranted.
Collapse
Affiliation(s)
- Taylor Marzouk
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, New York, USA.,Division of Psychiatry Research, Zucker Hillside Hospital, Northwell Health, New York, New York, USA.,Department of Psychiatry, Zucker School of Medicine at Northwell/Hofstra, Hempstead, New York, USA
| | - Stephanie Winkelbeiner
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, New York, USA, .,Division of Psychiatry Research, Zucker Hillside Hospital, Northwell Health, New York, New York, USA, .,Department of Psychiatry, Zucker School of Medicine at Northwell/Hofstra, Hempstead, New York, USA, .,Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland,
| | - Heela Azizi
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, New York, USA.,Division of Psychiatry Research, Zucker Hillside Hospital, Northwell Health, New York, New York, USA.,Department of Psychiatry, Zucker School of Medicine at Northwell/Hofstra, Hempstead, New York, USA
| | - Anil K Malhotra
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, New York, USA.,Division of Psychiatry Research, Zucker Hillside Hospital, Northwell Health, New York, New York, USA.,Department of Psychiatry, Zucker School of Medicine at Northwell/Hofstra, Hempstead, New York, USA
| | - Philipp Homan
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, New York, USA.,Division of Psychiatry Research, Zucker Hillside Hospital, Northwell Health, New York, New York, USA.,Department of Psychiatry, Zucker School of Medicine at Northwell/Hofstra, Hempstead, New York, USA
| |
Collapse
|
37
|
Palaniyappan L. Dissecting the neurobiology of linguistic disorganisation and impoverishment in schizophrenia. Semin Cell Dev Biol 2021; 129:47-60. [PMID: 34507903 DOI: 10.1016/j.semcdb.2021.08.015] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 08/13/2021] [Accepted: 05/06/2021] [Indexed: 12/16/2022]
Abstract
Schizophrenia provides a quintessential disease model of how disturbances in the molecular mechanisms of neurodevelopment lead to disruptions in the emergence of cognition. The central and often persistent feature of this illness is the disorganisation and impoverishment of language and related expressive behaviours. Though clinically more prominent, the periodic perceptual distortions characterised as psychosis are non-specific and often episodic. While several insights into psychosis have been gained based on study of the dopaminergic system, the mechanistic basis of linguistic disorganisation and impoverishment is still elusive. Key findings from cellular to systems-level studies highlight the role of ubiquitous, inhibitory processes in language production. Dysregulation of these processes at critical time periods, in key brain areas, provides a surprisingly parsimonious account of linguistic disorganisation and impoverishment in schizophrenia. This review links the notion of excitatory/inhibitory (E/I) imbalance at cortical microcircuits to the expression of language behaviour characteristic of schizophrenia, through the building blocks of neurochemistry, neurophysiology, and neurocognition.
Collapse
Affiliation(s)
- Lena Palaniyappan
- Department of Psychiatry,University of Western Ontario, London, Ontario, Canada; Robarts Research Institute,University of Western Ontario, London, Ontario, Canada; Lawson Health Research Institute, London, Ontario, Canada.
| |
Collapse
|
38
|
Soldevila-Matías P, Schoretsanitis G, Tordesillas-Gutierrez D, Cuesta MJ, de Filippis R, Ayesa-Arriola R, González-Vivas C, Setién-Suero E, Verdolini N, Sanjuán J, Radua J, Crespo-Facorro B. Neuroimaging correlates of insight in non-affective psychosis: A systematic review and meta-analysis. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2021; 15:S1888-9891(21)00067-7. [PMID: 34271162 DOI: 10.1016/j.rpsm.2021.07.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 06/28/2021] [Accepted: 07/01/2021] [Indexed: 12/22/2022]
Abstract
OBJECTIVE Neurological correlates of impaired insight in non-affective psychosis remain unclear. This study aimed to review and meta-analyze the studies assessing the grey matter volumetric correlates of impaired insight in non-affective psychosis. METHODS This study consisted of a systematic review of 23 studies, and a meta-analysis with SDM-PSI of the 11 studies that were whole-brain and reported maps or peaks of correlation of studies investigating the grey matter volumetric correlates of insight assessments of non-affective psychosis, PubMed and OVID datasets were independently reviewed for articles reporting neuroimaging correlates of insight in non-affective psychosis. Quality assessment was realized following previous methodological approaches for the ABC quality assessment test of imaging studies, based on two main criteria: the statistical power and the multidimensional assessment of insight. Study peaks of correlation between grey matter volume and insight were used to recreate brain correlation maps. RESULTS A total of 418 records were identified through database searching. Of these records, twenty-three magnetic resonance imaging (MRI) studies that used different insight scales were included. The quality of the evidence was high in 11 studies, moderate in nine, and low in three. Patients with reduced insight showed decreases in the frontal, temporal (specifically in superior temporal gyrus), precuneus, cingulate, insula, and occipital lobes cortical grey matter volume. The meta-analysis indicated a positive correlation between grey matter volume and insight in the right insula (i.e., the smaller the grey matter, the lower the insight). CONCLUSION Several brain areas might be involved in impaired insight in patients with non-affective psychoses. The methodologies employed, such as the applied insight scales, may have contributed to the considerable discrepancies in the findings.
Collapse
Affiliation(s)
- Pau Soldevila-Matías
- Department of Basic Psychology, Faculty of Psychology, University of Valencia, Valencia, Spain; Research Institute of Clinic University Hospital of Valencia (INCLIVA), Valencia, Spain; National Reference Center for Psychosocial Care for People with Serious Mental Disorder (CREAP), Valencia, Spain
| | - Georgios Schoretsanitis
- The Zucker Hillside Hospital, Psychiatry Research, Northwell Health, Glen Oaks, New York, USA
| | - Diana Tordesillas-Gutierrez
- Marqués de Valdecilla University Hospital, Department of Radiology, IDIVAL, Santander, Spain; Marqués de Valdecilla University Hospital, Department of Psychiatry, School of Medicine, University of Cantabria, IDIVAL, Santander, Spain; CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain.
| | - Manuel J Cuesta
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Renato de Filippis
- The Zucker Hillside Hospital, Psychiatry Research, Northwell Health, Glen Oaks, New York, USA; Psychiatry Unit Department of Health Sciences, University Magna Graecia of Catanzaro, Catanzaro 88100, Italy
| | - Rosa Ayesa-Arriola
- Marqués de Valdecilla University Hospital, Department of Radiology, IDIVAL, Santander, Spain; Marqués de Valdecilla University Hospital, Department of Psychiatry, School of Medicine, University of Cantabria, IDIVAL, Santander, Spain; CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain
| | - Carlos González-Vivas
- Research Institute of Clinic University Hospital of Valencia (INCLIVA), Valencia, Spain
| | - Esther Setién-Suero
- Marqués de Valdecilla University Hospital, Department of Radiology, IDIVAL, Santander, Spain; Marqués de Valdecilla University Hospital, Department of Psychiatry, School of Medicine, University of Cantabria, IDIVAL, Santander, Spain; CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain
| | - Norma Verdolini
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel Street, 12-0, 08036 Barcelona, Spain
| | - Julio Sanjuán
- Research Institute of Clinic University Hospital of Valencia (INCLIVA), Valencia, Spain; CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain; Department of Psychiatric, University of Valencia, School of Medicine, Valencia, Spain
| | - Joaquim Radua
- CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centre for Psychiatric Research and Education, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Benedicto Crespo-Facorro
- Marqués de Valdecilla University Hospital, Department of Radiology, IDIVAL, Santander, Spain; Marqués de Valdecilla University Hospital, Department of Psychiatry, School of Medicine, University of Cantabria, IDIVAL, Santander, Spain; CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain
| |
Collapse
|
39
|
Pan Y, Dempster K, Jeon P, Théberge J, Khan AR, Palaniyappan L. Acute conceptual disorganization in untreated first-episode psychosis: a combined magnetic resonance spectroscopy and diffusion imaging study of the cingulum. J Psychiatry Neurosci 2021; 46:E337-E346. [PMID: 33904669 PMCID: PMC8327974 DOI: 10.1503/jpn.200167] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Disorganized thinking is a core feature of acute psychotic episodes that is linked to social and vocational functioning. Several lines of evidence implicate disrupted cognitive control, excitatory overdrive and oxidative stress relating to the anterior cingulate cortex as mechanisms of conceptual disorganization (CD). We examined 3 candidate mechanistic markers related to CD in firstepisode psychosis: glutamate excess, cortical antioxidant (glutathione) status and the integrity of the cingulum bundle that connects regions implicated in cognitive control. METHODS We used fractional anisotropy maps from 7 T diffusion-weighted imaging to investigate the bilateral cingulum based on a probabilistic white matter atlas. We compared high CD, low CD and healthy control groups and performed probabilistic fibre tracking from the identified clusters (regions of interest within the cingulum) to the rest of the brain. We quantified glutamate and glutathione using magnetic resonance spectroscopy (MRS) in the dorsal anterior cingulate cortex. RESULTS We found a significant fractional anisotropy reduction in a cluster in the left cingulum in the high CD group compared to the low CD group (Cohen's d = 1.39; p < 0.001) and controls (Cohen's d = 0.86; p = 0.009). Glutamate levels did not vary among groups, but glutathione levels were higher in the high CD group than in the low CD group. We also found higher glutathione related to lower fractional anisotropy in the cingulum cluster in the high CD group. LIMITATIONS The MRS measures of glutamine were highly uncertain, and MRS was acquired from a single voxel only. CONCLUSION Acute CD relates to indicators of oxidative stress, as well as reduced white matter integrity of the cingulum, but not to MRI-based glutamatergic excess. We propose that both oxidative imbalance and structural dysconnectivity underlie acute disorganization.
Collapse
Affiliation(s)
- Yunzhi Pan
- From the Department of Psychiatry, Second Xiangya Hospital of Central South University, Changsha, Hunan, China (Pan); the Robarts Research Institute, University of Western Ontario, London, Ont., Canada (Pan, Khan, Palaniyappan); the Lawson Health Research Institute, London, Ont., Canada (Théberge, Palaniyappan); the Department of Medical Biophysics, University of Western Ontario, London, Ont., Canada (Jeon, Théberge, Khan, Palaniyappan); the Department of Psychiatry, University of Western Ontario, London, Ont., Canada (Palaniyappan, Théberge); the Department of Psychiatry, Dalhousie University, Halifax, NS, Canada (Dempster); the China National Clinical Research Center on Mental Disorders (Xiangya), Changsha, Hunan, China (Pan); the China National Technology Institute on Mental Disorders, Changsha, Hunan, China (Pan); the Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan, China (Pan); and the Institute of Mental Health of Second Xiangya Hospital, Central South University, Changsha, Hunan, China (Pan)
| | - Kara Dempster
- From the Department of Psychiatry, Second Xiangya Hospital of Central South University, Changsha, Hunan, China (Pan); the Robarts Research Institute, University of Western Ontario, London, Ont., Canada (Pan, Khan, Palaniyappan); the Lawson Health Research Institute, London, Ont., Canada (Théberge, Palaniyappan); the Department of Medical Biophysics, University of Western Ontario, London, Ont., Canada (Jeon, Théberge, Khan, Palaniyappan); the Department of Psychiatry, University of Western Ontario, London, Ont., Canada (Palaniyappan, Théberge); the Department of Psychiatry, Dalhousie University, Halifax, NS, Canada (Dempster); the China National Clinical Research Center on Mental Disorders (Xiangya), Changsha, Hunan, China (Pan); the China National Technology Institute on Mental Disorders, Changsha, Hunan, China (Pan); the Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan, China (Pan); and the Institute of Mental Health of Second Xiangya Hospital, Central South University, Changsha, Hunan, China (Pan)
| | - Peter Jeon
- From the Department of Psychiatry, Second Xiangya Hospital of Central South University, Changsha, Hunan, China (Pan); the Robarts Research Institute, University of Western Ontario, London, Ont., Canada (Pan, Khan, Palaniyappan); the Lawson Health Research Institute, London, Ont., Canada (Théberge, Palaniyappan); the Department of Medical Biophysics, University of Western Ontario, London, Ont., Canada (Jeon, Théberge, Khan, Palaniyappan); the Department of Psychiatry, University of Western Ontario, London, Ont., Canada (Palaniyappan, Théberge); the Department of Psychiatry, Dalhousie University, Halifax, NS, Canada (Dempster); the China National Clinical Research Center on Mental Disorders (Xiangya), Changsha, Hunan, China (Pan); the China National Technology Institute on Mental Disorders, Changsha, Hunan, China (Pan); the Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan, China (Pan); and the Institute of Mental Health of Second Xiangya Hospital, Central South University, Changsha, Hunan, China (Pan)
| | - Jean Théberge
- From the Department of Psychiatry, Second Xiangya Hospital of Central South University, Changsha, Hunan, China (Pan); the Robarts Research Institute, University of Western Ontario, London, Ont., Canada (Pan, Khan, Palaniyappan); the Lawson Health Research Institute, London, Ont., Canada (Théberge, Palaniyappan); the Department of Medical Biophysics, University of Western Ontario, London, Ont., Canada (Jeon, Théberge, Khan, Palaniyappan); the Department of Psychiatry, University of Western Ontario, London, Ont., Canada (Palaniyappan, Théberge); the Department of Psychiatry, Dalhousie University, Halifax, NS, Canada (Dempster); the China National Clinical Research Center on Mental Disorders (Xiangya), Changsha, Hunan, China (Pan); the China National Technology Institute on Mental Disorders, Changsha, Hunan, China (Pan); the Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan, China (Pan); and the Institute of Mental Health of Second Xiangya Hospital, Central South University, Changsha, Hunan, China (Pan)
| | - Ali R Khan
- From the Department of Psychiatry, Second Xiangya Hospital of Central South University, Changsha, Hunan, China (Pan); the Robarts Research Institute, University of Western Ontario, London, Ont., Canada (Pan, Khan, Palaniyappan); the Lawson Health Research Institute, London, Ont., Canada (Théberge, Palaniyappan); the Department of Medical Biophysics, University of Western Ontario, London, Ont., Canada (Jeon, Théberge, Khan, Palaniyappan); the Department of Psychiatry, University of Western Ontario, London, Ont., Canada (Palaniyappan, Théberge); the Department of Psychiatry, Dalhousie University, Halifax, NS, Canada (Dempster); the China National Clinical Research Center on Mental Disorders (Xiangya), Changsha, Hunan, China (Pan); the China National Technology Institute on Mental Disorders, Changsha, Hunan, China (Pan); the Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan, China (Pan); and the Institute of Mental Health of Second Xiangya Hospital, Central South University, Changsha, Hunan, China (Pan)
| | - Lena Palaniyappan
- From the Department of Psychiatry, Second Xiangya Hospital of Central South University, Changsha, Hunan, China (Pan); the Robarts Research Institute, University of Western Ontario, London, Ont., Canada (Pan, Khan, Palaniyappan); the Lawson Health Research Institute, London, Ont., Canada (Théberge, Palaniyappan); the Department of Medical Biophysics, University of Western Ontario, London, Ont., Canada (Jeon, Théberge, Khan, Palaniyappan); the Department of Psychiatry, University of Western Ontario, London, Ont., Canada (Palaniyappan, Théberge); the Department of Psychiatry, Dalhousie University, Halifax, NS, Canada (Dempster); the China National Clinical Research Center on Mental Disorders (Xiangya), Changsha, Hunan, China (Pan); the China National Technology Institute on Mental Disorders, Changsha, Hunan, China (Pan); the Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan, China (Pan); and the Institute of Mental Health of Second Xiangya Hospital, Central South University, Changsha, Hunan, China (Pan)
| |
Collapse
|
40
|
Chen J, Wensing T, Hoffstaedter F, Cieslik EC, Müller VI, Patil KR, Aleman A, Derntl B, Gruber O, Jardri R, Kogler L, Sommer IE, Eickhoff SB, Nickl-Jockschat T. Neurobiological substrates of the positive formal thought disorder in schizophrenia revealed by seed connectome-based predictive modeling. NEUROIMAGE-CLINICAL 2021; 30:102666. [PMID: 34215141 PMCID: PMC8105296 DOI: 10.1016/j.nicl.2021.102666] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 04/01/2021] [Accepted: 04/03/2021] [Indexed: 12/14/2022]
Abstract
Formal thought disorder (FTD) is a core symptom of schizophrenia, but its neurobiological substrates remain elusive. Resting-state functional connectivity (rsFC) of three meta-analytically defined seeds were correlated to positive and negative symptom dimensions of FTD. RsFC patterns allowed individual prediction of positive FTD symptom severity. These findings generalized to an independent data set. Our study has identified robust neurobiological correlates of positive FTD in schizophrenia.
Formal thought disorder (FTD) is a core symptom cluster of schizophrenia, but its neurobiological substrates remain poorly understood. Here we collected resting-state fMRI data from 276 subjects at seven sites and employed machine-learning to investigate the neurobiological correlates of FTD along positive and negative symptom dimensions in schizophrenia. Three a priori, meta-analytically defined FTD-related brain regions were used as seeds to generate whole-brain resting-state functional connectivity (rsFC) maps, which were then compared between schizophrenia patients and controls. A repeated cross-validation procedure was realized within the patient group to identify clusters whose rsFC patterns to the seeds were repeatedly observed as significantly associated with specific FTD dimensions. These repeatedly identified clusters (i.e., robust clusters) were functionally characterized and the rsFC patterns were used for predictive modeling to investigate predictive capacities for individual FTD dimensional-scores. Compared with controls, differential rsFC was found in patients in fronto-temporo-thalamic regions. Our cross-validation procedure revealed significant clusters only when assessing the seed-to-whole-brain rsFC patterns associated with positive-FTD. RsFC patterns of three fronto-temporal clusters, associated with higher-order cognitive processes (e.g., executive functions), specifically predicted individual positive-FTD scores (p = 0.005), but not other positive symptoms, and the PANSS general psychopathology subscale (p > 0.05). The prediction of positive-FTD was moreover generalized to an independent dataset (p = 0.013). Our study has identified neurobiological correlates of positive FTD in schizophrenia in a network associated with higher-order cognitive functions, suggesting a dysexecutive contribution to FTD in schizophrenia. We regard our findings as robust, as they allow a prediction of individual-level symptom severity.
Collapse
Affiliation(s)
- Ji Chen
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China; Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Tobias Wensing
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, RWTH, Aachen, Germany; JARA Translational Brain Medicine, Aachen, Germany
| | - Felix Hoffstaedter
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Edna C Cieslik
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Veronika I Müller
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Kaustubh R Patil
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - André Aleman
- Department of Neuroscience, University of Groningen, University Medical Center Groningen, the Netherlands
| | - Birgit Derntl
- Department of Psychiatry and Psychotherapy, Medical School, University of Tübingen, Germany
| | - Oliver Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University, Germany
| | - Renaud Jardri
- Univ Lille, INSERM U1172, Lille Neuroscience & Cognition Centre, Plasticity &SubjectivitY Team & CHU Lille, Fontan Hospital, CURE Platform, Lille, France
| | - Lydia Kogler
- Department of Psychiatry and Psychotherapy, Medical School, University of Tübingen, Germany
| | - Iris E Sommer
- Department of Biomedical Science of Cells and Systems, University of Groningen, University Medical Center Groningen, the Netherlands
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Thomas Nickl-Jockschat
- Iowa Neuroscience Institute, Carver College of Medicine, University of Iowa, Iowa City, IA, United States; Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA, United States.
| |
Collapse
|
41
|
Stein F, Meller T, Brosch K, Schmitt S, Ringwald K, Pfarr JK, Meinert S, Thiel K, Lemke H, Waltemate L, Grotegerd D, Opel N, Jansen A, Nenadić I, Dannlowski U, Krug A, Kircher T. Psychopathological Syndromes Across Affective and Psychotic Disorders Correlate With Gray Matter Volumes. Schizophr Bull 2021; 47:1740-1750. [PMID: 33860786 PMCID: PMC8530386 DOI: 10.1093/schbul/sbab037] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
INTRODUCTION More than a century of research on the neurobiological underpinnings of major psychiatric disorders (major depressive disorder [MDD], bipolar disorder [BD], schizophrenia [SZ], and schizoaffective disorder [SZA]) has been unable to identify diagnostic markers. An alternative approach is to study dimensional psychopathological syndromes that cut across categorical diagnoses. The aim of the current study was to identify gray matter volume (GMV) correlates of transdiagnostic symptom dimensions. METHODS We tested the association of 5 psychopathological factors with GMV using multiple regression models in a sample of N = 1069 patients meeting Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria for MDD (n = 818), BD (n = 132), and SZ/SZA (n = 119). T1-weighted brain images were acquired with 3-Tesla magnetic resonance imaging and preprocessed with CAT12. Interactions analyses (diagnosis × psychopathological factor) were performed to test whether local GMV associations were driven by DSM-IV diagnosis. We further tested syndrome specific regions of interest (ROIs). RESULTS Whole brain analysis showed a significant negative association of the positive formal thought disorder factor with GMV in the right middle frontal gyrus, the paranoid-hallucinatory syndrome in the right fusiform, and the left middle frontal gyri. ROI analyses further showed additional negative associations, including the negative syndrome with bilateral frontal opercula, positive formal thought disorder with the left amygdala-hippocampus complex, and the paranoid-hallucinatory syndrome with the left angular gyrus. None of the GMV associations interacted with DSM-IV diagnosis. CONCLUSIONS We found associations between psychopathological syndromes and regional GMV independent of diagnosis. Our findings open a new avenue for neurobiological research across disorders, using syndrome-based approaches rather than categorical diagnoses.
Collapse
Affiliation(s)
- Frederike Stein
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind Brain and Behavior, University of Marburg, Marburg, Germany,To whom correspondence should be addressed; Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; tel: +49-6421-58-63831, fax: +49-6421-58-68939, e-mail:
| | - Tina Meller
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind Brain and Behavior, University of Marburg, Marburg, Germany
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind Brain and Behavior, University of Marburg, Marburg, Germany
| | - Simon Schmitt
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind Brain and Behavior, University of Marburg, Marburg, Germany
| | - Kai Ringwald
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind Brain and Behavior, University of Marburg, Marburg, Germany
| | - Julia Katharina Pfarr
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind Brain and Behavior, University of Marburg, Marburg, Germany
| | - Susanne Meinert
- Department of Psychiatry University of Münster, Münster, Germany
| | - Katharina Thiel
- Department of Psychiatry University of Münster, Münster, Germany
| | - Hannah Lemke
- Department of Psychiatry University of Münster, Münster, Germany
| | - Lena Waltemate
- Department of Psychiatry University of Münster, Münster, Germany
| | | | - Nils Opel
- Department of Psychiatry University of Münster, Münster, Germany
| | - Andreas Jansen
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind Brain and Behavior, University of Marburg, Marburg, Germany
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind Brain and Behavior, University of Marburg, Marburg, Germany
| | - Udo Dannlowski
- Department of Psychiatry University of Münster, Münster, Germany
| | - Axel Krug
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind Brain and Behavior, University of Marburg, Marburg, Germany,Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind Brain and Behavior, University of Marburg, Marburg, Germany
| |
Collapse
|
42
|
Angers K, Suhr JA, Buelow MT. Cognitive-perceptual and disorganized schizotypal traits are nonlinearly related to atypical semantic content on tasks of semantic fluency. J Psychiatr Res 2021; 136:7-13. [PMID: 33545647 DOI: 10.1016/j.jpsychires.2021.01.038] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 01/19/2021] [Accepted: 01/22/2021] [Indexed: 11/26/2022]
Abstract
Language deficits emerge early in the course of schizophrenia, yet research findings in those at-risk for schizophrenia, such as those with schizotypy, are mixed. The purpose of the present study was to elucidate the relationship of language ability, measured via semantic fluency, to schizotypy, examining both linear and non-linear relations. Semantic fluency data from 295 individuals with varying amounts of schizotypal traits were analyzed utilizing traditional methods (i.e., counting words generated that fit a specific semantic category). The content of semantic fluency responses was also analyzed via a semantic infrequency score (i.e., how infrequent participant responses were relative to all responses generated for the category in the study sample) and a total semantic productivity score (i.e., how many unique words generated overall, including those that did not fit the semantic category). Using traditional methods of scoring, schizotypy was not related to semantic fluency. However, schizotypy was non-linearly related to semantic infrequency and productivity, reflecting atypical semantic activation and processing. In particular, cognitive-perceptual and disorganized, but not interpersonal, traits were related to semantic infrequency and productivity. Valuable content-based information is missed when only analyzing semantic fluency data via the traditional method in the schizophrenia spectrum population. Cognitive-perceptual and disorganized traits, attenuated thought disorder symptoms, evidence the strongest relationship to semantic fluency, further illustrating the link between language and schizophrenia symptoms along the schizophrenia spectrum.
Collapse
Affiliation(s)
- Kaley Angers
- Ohio University, Department of Psychology, Porter Hall, 22 Richland Ave., Athens, OH, 45701, USA.
| | - Julie A Suhr
- Ohio University, Department of Psychology, Porter Hall, 22 Richland Ave., Athens, OH, 45701, USA
| | - Melissa T Buelow
- The Ohio State University Newark, Department of Psychology, 2048 Founders Hall, 1179 University Drive, Newark, OH, 43055, USA
| |
Collapse
|
43
|
Del Re EC, Stone WS, Bouix S, Seitz J, Zeng V, Guliano A, Somes N, Zhang T, Reid B, Lyall A, Lyons M, Li H, Whitfield-Gabrieli S, Keshavan M, Seidman LJ, McCarley RW, Wang J, Tang Y, Shenton ME, Niznikiewicz MA. Baseline Cortical Thickness Reductions in Clinical High Risk for Psychosis: Brain Regions Associated with Conversion to Psychosis Versus Non-Conversion as Assessed at One-Year Follow-Up in the Shanghai-At-Risk-for-Psychosis (SHARP) Study. Schizophr Bull 2021; 47:562-574. [PMID: 32926141 PMCID: PMC8480195 DOI: 10.1093/schbul/sbaa127] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVE To assess cortical thickness (CT) and surface area (SA) of frontal, temporal, and parietal brain regions in a large clinical high risk for psychosis (CHR) sample, and to identify cortical brain abnormalities in CHR who convert to psychosis and in the whole CHR sample, compared with the healthy controls (HC). METHODS Magnetic resonance imaging, clinical, and cognitive data were acquired at baseline in 92 HC, 130 non-converters, and 22 converters (conversion assessed at 1-year follow-up). CT and SA at baseline were calculated for frontal, temporal, and parietal subregions. Correlations between regions showing group differences and clinical scores and age were also obtained. RESULTS CT but not SA was significantly reduced in CHR compared with HC. Two patterns of findings emerged: (1) In converters, CT was significantly reduced relative to non-converters and controls in the banks of superior temporal sulcus, Heschl's gyrus, and pars triangularis and (2) CT in the inferior parietal and supramarginal gyrus, and at trend level in the pars opercularis, fusiform, and middle temporal gyri was significantly reduced in all high-risk individuals compared with HC. Additionally, reduced CT correlated significantly with older age in HC and in non-converters but not in converters. CONCLUSIONS These results show for the first time that fronto-temporo-parietal abnormalities characterized all CHR, that is, both converters and non-converters, relative to HC, while CT abnormalities in converters relative to CHR-NC and HC were found in core auditory and language processing regions.
Collapse
Affiliation(s)
- Elisabetta C Del Re
- Laboratory of Neuroscience, Department of Psychiatry, VA Boston
Healthcare System, Brockton Division, and Harvard Medical School,
Boston, MA
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham
and Women’s Hospital, and Harvard Medical School, Boston,
MA
| | - William S Stone
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard
Medical School, Boston, MA
| | - Sylvain Bouix
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham
and Women’s Hospital, and Harvard Medical School, Boston,
MA
| | - Johanna Seitz
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham
and Women’s Hospital, and Harvard Medical School, Boston,
MA
| | - Victor Zeng
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard
Medical School, Boston, MA
| | - Anthony Guliano
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard
Medical School, Boston, MA
| | - Nathaniel Somes
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham
and Women’s Hospital, and Harvard Medical School, Boston,
MA
| | - Tianhong Zhang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of
Medicine, Shanghai Key Laboratory of Psychotic Disorders, SHARP
Program, Shanghai China
| | - Benjamin Reid
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham
and Women’s Hospital, and Harvard Medical School, Boston,
MA
| | - Amanda Lyall
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham
and Women’s Hospital, and Harvard Medical School, Boston,
MA
- Department of Psychiatry, Massachusetts General Hospital and Harvard
Medical School, Boston, MA
| | - Monica Lyons
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham
and Women’s Hospital, and Harvard Medical School, Boston,
MA
- Department of Psychiatry, Massachusetts General Hospital and Harvard
Medical School, Boston, MA
| | - Huijun Li
- Florida A&M University, Department of Psychology,
Tallahassee, FL
| | | | - Matcheri Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard
Medical School, Boston, MA
| | - Larry J Seidman
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard
Medical School, Boston, MA
- Department of Psychiatry, Massachusetts General Hospital and Harvard
Medical School, Boston, MA
| | - Robert W McCarley
- Laboratory of Neuroscience, Department of Psychiatry, VA Boston
Healthcare System, Brockton Division, and Harvard Medical School,
Boston, MA
| | - Jijun Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of
Medicine, Shanghai Key Laboratory of Psychotic Disorders, SHARP
Program, Shanghai China
| | - Yingying Tang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of
Medicine, Shanghai Key Laboratory of Psychotic Disorders, SHARP
Program, Shanghai China
| | - Martha E Shenton
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham
and Women’s Hospital, and Harvard Medical School, Boston,
MA
- Department of Psychiatry, Massachusetts General Hospital and Harvard
Medical School, Boston, MA
- Department of Radiology, Brigham and Women’s Hospital, and
Harvard Medical School, Boston, MA
- Research and Development, VA Boston Healthcare System,
Boston, MA
| | - Margaret A Niznikiewicz
- Laboratory of Neuroscience, Department of Psychiatry, VA Boston
Healthcare System, Brockton Division, and Harvard Medical School,
Boston, MA
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard
Medical School, Boston, MA
- To whom correspondence should be addressed; e-mail:
| |
Collapse
|
44
|
Dey A, Dempster K, MacKinley M, Jeon P, Das T, Khan A, Gati J, Palaniyappan L. Conceptual disorganization and redistribution of resting-state cortical hubs in untreated first-episode psychosis: A 7T study. NPJ SCHIZOPHRENIA 2021; 7:4. [PMID: 33500416 PMCID: PMC7838254 DOI: 10.1038/s41537-020-00130-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Accepted: 11/12/2020] [Indexed: 01/30/2023]
Abstract
Network-level dysconnectivity has been studied in positive and negative symptoms of schizophrenia. Conceptual disorganization (CD) is a symptom subtype that predicts impaired real-world functioning in psychosis. Systematic reviews have reported aberrant connectivity in formal thought disorder, a construct related to CD. However, no studies have investigated whole-brain functional correlates of CD in psychosis. We sought to investigate brain regions explaining the severity of CD in patients with first-episode psychosis (FEPs) compared with healthy controls (HCs). We computed whole-brain binarized degree centrality maps of 31 FEPs, 25 HCs, and characterized the patterns of network connectivity in the 2 groups. In FEPs, we related these findings to the severity of CD. We also studied the effect of positive and negative symptoms on altered network connectivity. Compared to HCs, reduced centrality of a right superior temporal gyrus (rSTG) cluster was observed in the FEPs. In patients exhibiting high CD, increased centrality of a medial superior parietal (mSPL) cluster was observed, compared to patients exhibiting low CD. This cluster was strongly correlated with CD scores but not with other symptom scores. Our observations are congruent with previous findings of reduced but not increased centrality. We observed increased centrality of mSPL suggesting that cortical reorganization occurs to provide alternate routes for information transfer. These findings provide insight into the underlying neural processes mediating the presentation of symptoms in untreated FEP. Longitudinal tracking of the symptom course will be useful to assess the mechanisms underlying these compensatory changes.
Collapse
Affiliation(s)
- Avyarthana Dey
- grid.39381.300000 0004 1936 8884Robarts Research Institute, London, ON Canada ,grid.39381.300000 0004 1936 8884Department of Psychiatry, University of Western Ontario, London, ON Canada
| | - Kara Dempster
- grid.39381.300000 0004 1936 8884Robarts Research Institute, London, ON Canada ,grid.39381.300000 0004 1936 8884Department of Psychiatry, University of Western Ontario, London, ON Canada ,grid.415847.b0000 0001 0556 2414Lawson Health Research Institute, London, ON Canada ,grid.55602.340000 0004 1936 8200Present Address: Department of Psychiatry, Dalhousie University, Halifax, NS Canada
| | - Michael MacKinley
- grid.39381.300000 0004 1936 8884Robarts Research Institute, London, ON Canada ,grid.39381.300000 0004 1936 8884Department of Psychiatry, University of Western Ontario, London, ON Canada ,grid.415847.b0000 0001 0556 2414Lawson Health Research Institute, London, ON Canada
| | - Peter Jeon
- grid.415847.b0000 0001 0556 2414Lawson Health Research Institute, London, ON Canada ,grid.39381.300000 0004 1936 8884Department of Medical Biophysics, University of Western Ontario, London, ON Canada
| | - Tushar Das
- grid.39381.300000 0004 1936 8884Robarts Research Institute, London, ON Canada ,grid.39381.300000 0004 1936 8884Department of Psychiatry, University of Western Ontario, London, ON Canada
| | - Ali Khan
- grid.39381.300000 0004 1936 8884Robarts Research Institute, London, ON Canada ,grid.39381.300000 0004 1936 8884Department of Medical Biophysics, University of Western Ontario, London, ON Canada ,grid.39381.300000 0004 1936 8884The Brain and Mind Institute, University of Western Ontario, London, ON Canada
| | - Joe Gati
- grid.39381.300000 0004 1936 8884Robarts Research Institute, London, ON Canada ,grid.39381.300000 0004 1936 8884Department of Medical Biophysics, University of Western Ontario, London, ON Canada
| | - Lena Palaniyappan
- grid.39381.300000 0004 1936 8884Robarts Research Institute, London, ON Canada ,grid.39381.300000 0004 1936 8884Department of Psychiatry, University of Western Ontario, London, ON Canada ,grid.415847.b0000 0001 0556 2414Lawson Health Research Institute, London, ON Canada ,grid.39381.300000 0004 1936 8884Department of Medical Biophysics, University of Western Ontario, London, ON Canada ,grid.39381.300000 0004 1936 8884The Brain and Mind Institute, University of Western Ontario, London, ON Canada
| |
Collapse
|
45
|
Chang CC, Lin YY, Tzeng NS, Kao YC, Chang HA. Adjunct high-frequency transcranial random noise stimulation over the lateral prefrontal cortex improves negative symptoms of schizophrenia: A randomized, double-blind, sham-controlled pilot study. J Psychiatr Res 2021; 132:151-160. [PMID: 33096356 DOI: 10.1016/j.jpsychires.2020.10.008] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 09/10/2020] [Accepted: 10/12/2020] [Indexed: 02/07/2023]
Abstract
High-frequency transcranial random noise stimulation (hf-tRNS) is a non-invasive neuromodulatory technique capable of increasing human cortex excitability. There were only published case reports on the use of hf-tRNS targeting the lateral prefrontal cortex in treating negative symptoms of schizophrenia, thus necessitating systematic investigation. We designed a randomized, double-blind, sham-controlled trial in a cohort of stabilized schizophrenia patients to examine the efficacy of add-on hf-tRNS (100-640 Hz; 2 mA; 20 min) using a high definition 4 × 1 electrode montage (anode AF3, cathodes AF4, F2, F6, and FC4) in treating negative symptoms (ClinicalTrials.gov ID: NCT04038788). Participants received either active hf-tRNS or sham twice daily for 5 consecutive weekdays. Primary outcome measure was the change over time in the Positive and Negative Syndrome Scale Factor Score for Negative Symptoms (PANSS-FSNS), which was measured at baseline, after 10-session stimulation, and at one-week and one-month follow-ups. Among 36 randomized patients, 35 (97.2%) completed the trial. Intention-to-treat analysis showed a significantly greater decrease in PANSS-FSNS score after active (-17.11%) than after sham stimulation (-1.68%), with a large effect size (Cohen's d = 2.16, p < 0.001). The beneficial effect lasted for up to one month. In secondary-outcome analyses, the authors observed improvements with hf-tRNS of disorganization symptoms, unawareness of negative symptoms, subjective response to taking antipsychotics, and antipsychotic-induced extrapyramidal symptoms. No effects were observed on the neurocognitive performance and other outcome measures. Overall, hf-tRNS was safe and efficacious in improving negative symptoms. Our promising findings should be confirmed in a larger sample of patients with predominant negative symptoms.
Collapse
Affiliation(s)
- Chuan-Chia Chang
- Department of Psychiatry, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Yen-Yue Lin
- Department of Emergency Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan; Department of Emergency Medicine, Taoyuan Armed Forces General Hospital, Taoyuan, Taiwan; Department of Life Sciences, National Central University, Taoyuan, Taiwan
| | - Nian-Sheng Tzeng
- Department of Psychiatry, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Yu-Chen Kao
- Department of Psychiatry, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan; Department of Psychiatry, Tri-Service General Hospital Songshan Branch, National Defense Medical Center, Taipei, Taiwan
| | - Hsin-An Chang
- Department of Psychiatry, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
| |
Collapse
|
46
|
Bambini V, Tonini E, Ceccato I, Lecce S, Marocchini E, Cavallini E. How to improve social communication in aging: Pragmatic and cognitive interventions. BRAIN AND LANGUAGE 2020; 211:104864. [PMID: 33137591 DOI: 10.1016/j.bandl.2020.104864] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Revised: 07/21/2020] [Accepted: 09/14/2020] [Indexed: 06/11/2023]
Abstract
Among all aspects of the linguistic and communicative competence, pragmatics seems especially vulnerable in aging, due also to cognitive decline. However, pragmatics has never been considered as an intervention target in healthy aging. Here we tested the effects of a novel training program to improve pragmatics (PragmaCom) in older adults, compared with an active cognitive control group in a randomized-controlled-trial design. Both the PragmaCom group and the control group improved in pragmatic skills such as understanding metaphors and avoiding off-topic speech, indicating that it is possible to improve pragmatics in aging both with a specific training and with a cognitive training. Individual cognitive factors predicted pragmatic improvement in the control group, while in the PragmaCom group benefits were less dependent on individual characteristics. We discuss the results in terms of pragmatic plasticity, highlighting the importance of these findings for promoting older adults' social communication and well-being.
Collapse
Affiliation(s)
- Valentina Bambini
- Center for Neurocognition, Epistemology and Theoretical Syntax (NEtS), University School for Advanced Studies IUSS Pavia, Piazza della Vittoria 15, 27100 Pavia, Italy.
| | - Elisabetta Tonini
- Center for Neurocognition, Epistemology and Theoretical Syntax (NEtS), University School for Advanced Studies IUSS Pavia, Piazza della Vittoria 15, 27100 Pavia, Italy
| | - Irene Ceccato
- Department of Neuroscience, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Via Luigi Polacchi 11, 66100 Chieti, Italy
| | - Serena Lecce
- Department of Brain and Behavioral Sciences, University of Pavia, Piazza Botta 11, 27100 Pavia, Italy
| | - Eleonora Marocchini
- Laboratory of Language and Cognition, University of Genoa, Via Balbi 30, 16128 Genoa, Italy
| | - Elena Cavallini
- Department of Brain and Behavioral Sciences, University of Pavia, Piazza Botta 11, 27100 Pavia, Italy
| |
Collapse
|
47
|
Moschopoulos N, Nimatoudis I, Kaprinis S, Sidiras C, Iliadou V. Auditory processing disorder may be present in schizophrenia and it is highly correlated with formal thought disorder. Psychiatry Res 2020; 291:113222. [PMID: 32562936 DOI: 10.1016/j.psychres.2020.113222] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Revised: 06/09/2020] [Accepted: 06/09/2020] [Indexed: 12/17/2022]
Abstract
The present study investigates the presence of Auditory Processing Disorder (APD) in schizophrenia and its association with symptomatology, especially Formal Thought Disorder (FTD). 50 patients with schizophrenia and 25 matched healthy controls completed a battery of three auditory processing tests. Positive and Negative Syndrome Scale (PANSS) and Thought, Language and Communication (TLC) scale were used to assess clinical symptoms. The patient group was divided into two subgroups, according to FTD severity. Auditory processing performance of the control group and the patient group was evaluated. Correlations between auditory processing scores and TLC scores, as well as auditory processing scores and PANSS scores were examined. Most of the patients, especially those with FTD, had auditory deficits that can be classified as APD. Patients showed impaired performance compared to controls in all tests. Total severity and specific factors of FTD, as well as other clinical symptoms and symptom categories were correlated with auditory processing performance. We provided evidence that APD may be present in schizophrenia and that FTD, as well as other clinical symptoms are associated with auditory processing deficits. There are important clinical implications for non-pharmacological interventions and early diagnosis of schizophrenia.
Collapse
Affiliation(s)
- Nikolaos Moschopoulos
- Clinical Psychoacoustics Lab, 3rd Psychiatry Department, Aristotle University of Thessaloniki, Thessaloniki, Greece.
| | - Ioannis Nimatoudis
- Clinical Psychoacoustics Lab, 3rd Psychiatry Department, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Stergios Kaprinis
- 2nd Psychiatry Department, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Christos Sidiras
- Clinical Psychoacoustics Lab, 3rd Psychiatry Department, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Vasiliki Iliadou
- Clinical Psychoacoustics Lab, 3rd Psychiatry Department, Aristotle University of Thessaloniki, Thessaloniki, Greece
| |
Collapse
|
48
|
Palaniyappan L, Al-Radaideh A, Gowland PA, Liddle PF. Cortical thickness and formal thought disorder in schizophrenia: An ultra high-field network-based morphometry study. Prog Neuropsychopharmacol Biol Psychiatry 2020; 101:109911. [PMID: 32151693 DOI: 10.1016/j.pnpbp.2020.109911] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Revised: 02/17/2020] [Accepted: 03/05/2020] [Indexed: 12/19/2022]
Abstract
BACKGROUND Persistent formal thought disorder (FTD) is a core feature of schizophrenia. Recent cognitive and neuroimaging studies indicate a distinct mechanistic pathway underlying the persistent positive FTD (pFTD or disorganized thinking), though its structural determinants are still elusive. Using network-based cortical thickness estimates from ultra-high field 7-Tesla Magnetic Resonance Imaging (7T MRI), we investigated the structural correlates of pFTD. METHODS We obtained speech samples and 7T MRI anatomical scans from medicated clinically stable patients with schizophrenia (n = 19) and healthy controls (n = 20). Network-based morphometry was used to estimate the mean cortical thickness of 17 functional networks covering the entire cortical surface from each subject. We also quantified the vertexwise variability of thickness within each network to quantify the spatial coherence of the 17 networks, estimated patients vs. controls differences, and related the thickness of the affected networks to the severity of pFTD. RESULTS Patients had reduced thickness of the frontoparietal and default mode networks, and reduced spatial coherence affecting the salience and the frontoparietal control network. A higher burden of positive FTD related to reduced frontoparietal thickness and reduced spatial coherence of the salience network. The presence of positive FTD, but not its severity, related to the reduced thickness of the language network comprising of the superior temporal cortex. CONCLUSIONS These results suggest that cortical thickness of both cognitive control and language networks underlie the positive FTD in schizophrenia. The structural integrity of cognitive control networks is a critical determinant of the expressed severity of persistent FTD in schizophrenia.
Collapse
Affiliation(s)
- Lena Palaniyappan
- Robarts Research Institute, University of Western Ontario, London, Ontario, Canada; Department of Psychiatry, University of Western Ontario, London, Ontario, Canada; Lawson Health Research Institute, London, Ontario, Canada.
| | - Ali Al-Radaideh
- Department of Medical Imaging, Faculty of Allied Health Sciences, The Hashemite University, Zarqa, Jordan.; Sir Peter Mansfield Imaging Centre (SPMIC), School of Physics and Astronomy, University of Nottingham, Nottingham, UK
| | - Penny A Gowland
- Sir Peter Mansfield Imaging Centre (SPMIC), School of Physics and Astronomy, University of Nottingham, Nottingham, UK
| | - Peter F Liddle
- Translational Neuroimaging for Mental Health, Division of Psychiatry and Applied Psychology, University of Nottingham, Nottingham, UK
| |
Collapse
|
49
|
Sumner PJ, Carruthers SP, Rossell SL. Examining Self-Reported Thought Disorder: Continuous Variation, Convergence with Schizotypy, and Cognitive Correlates. Psychiatry Res 2020; 289:112943. [PMID: 32417592 DOI: 10.1016/j.psychres.2020.112943] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Revised: 03/11/2020] [Accepted: 03/24/2020] [Indexed: 11/24/2022]
Abstract
When measured from the perspective of a clinician, the severity of 'objective' thought disorder (TD) has been found to vary continuously between people with and without psychosis-related diagnoses, and has been linked with semantic and executive dysfunctions in people with psychosis. Measures of 'subjective' TD that are derived from a first-person perspective have also been produced, but their relationships with objective TD and cognition are unclear. The aims of the current study were: to determine whether responses on a self-report TD questionnaire correspond with responses to a self-report measure of schizotypal disorganization; and to explore the association between these self-reported subjective TD severities and cognitive performance. Data was collected from a sample of 33 people without psychiatric diagnoses and 38 people diagnosed with schizophrenia or schizoaffective disorder evincing mild symptomatology, and this data was pooled for analysis in accordance with the continuum model. Self-reported TD frequencies were associated with the endorsement of disorganized schizotypal experiences. Moreover, self-reported TD frequencies showed relationships with measures of semantic and executive functioning. Thus, at mild severities, self-reported TD shows continuous variation and is associated with altered cognitive function.
Collapse
Affiliation(s)
- Philip J Sumner
- H80, PO Box 218, Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University of Technology, Hawthorn, Melbourne, Victoria, Australia, 3122.
| | - Sean P Carruthers
- H80, PO Box 218, Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University of Technology, Hawthorn, Melbourne, Victoria, Australia, 3122
| | - Susan L Rossell
- H80, PO Box 218, Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University of Technology, Hawthorn, Melbourne, Victoria, Australia, 3122; St. Vincent's Mental Health, St. Vincent's Hospital, Melbourne, Australia
| |
Collapse
|
50
|
Abstract
PURPOSE OF REVIEW After more than a century of neuroscience research, reproducible, clinically relevant biomarkers for schizophrenia have not yet been established. This article reviews current advances in evaluating the use of language as a diagnostic or prognostic tool in schizophrenia. RECENT FINDINGS The development of computational linguistic tools to quantify language disturbances is rapidly gaining ground in the field of schizophrenia research. Current applications are the use of semantic space models and acoustic analyses focused on phonetic markers. These features are used in machine learning models to distinguish patients with schizophrenia from healthy controls or to predict conversion to psychosis in high-risk groups, reaching accuracy scores (generally ranging from 80 to 90%) that exceed clinical raters. Other potential applications for a language biomarker in schizophrenia are monitoring of side effects, differential diagnostics and relapse prevention. SUMMARY Language disturbances are a key feature of schizophrenia. Although in its early stages, the emerging field of research focused on computational linguistics suggests an important role for language analyses in the diagnosis and prognosis of schizophrenia. Spoken language as a biomarker for schizophrenia has important advantages because it can be objectively and reproducibly quantified. Furthermore, language analyses are low-cost, time efficient and noninvasive in nature.
Collapse
|