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Barbalat G, Plasse J, Chéreau-Boudet I, Gouache B, Legros-Lafarge E, Massoubre C, Guillard-Bouhet N, Haesebaert F, Franck N. Contribution of socio-demographic and clinical characteristics to predict initial referrals to psychosocial interventions in patients with serious mental illness. Epidemiol Psychiatr Sci 2024; 33:e2. [PMID: 38282331 PMCID: PMC10894705 DOI: 10.1017/s2045796024000015] [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: 03/13/2023] [Revised: 09/09/2023] [Accepted: 12/09/2023] [Indexed: 01/30/2024] Open
Abstract
AIMS Psychosocial rehabilitation (PSR) is at the core of psychiatric recovery. There is a paucity of evidence regarding how the needs and characteristics of patients guide clinical decisions to refer to PSR interventions. Here, we used explainable machine learning methods to determine how socio-demographic and clinical characteristics contribute to initial referrals to PSR interventions in patients with serious mental illness. METHODS Data were extracted from the French network of rehabilitation centres, REHABase, collected between years 2016 and 2022 and analysed between February and September 2022. Participants presented with serious mental illnesses, including schizophrenia spectrum disorders, bipolar disorders, autism spectrum disorders, depressive disorders, anxiety disorders and personality disorders. Information from 37 socio-demographic and clinical variables was extracted at baseline and used as potential predictors. Several machine learning models were tested to predict initial referrals to four PSR interventions: cognitive behavioural therapy (CBT), cognitive remediation (CR), psychoeducation (PE) and vocational training (VT). Explanatory power of predictors was determined using the artificial intelligence-based SHAP (SHapley Additive exPlanations) method from the best performing algorithm. RESULTS Data from a total of 1146 patients were included (mean age, 33.2 years [range, 16-72 years]; 366 [39.2%] women). A random forest algorithm demonstrated the best predictive performance, with a moderate or average predictive accuracy [micro-averaged area under the receiver operating curve from 'external' cross-validation: 0.672]. SHAP dependence plots demonstrated insightful associations between socio-demographic and clinical predictors and referrals to PSR programmes. For instance, patients with psychotic disorders were more likely to be referred to PE and CR, while those with non-psychotic disorders were more likely to be referred to CBT and VT. Likewise, patients with social dysfunctions and lack of educational attainment were more likely to be referred to CR and VT, while those with better functioning and education were more likely to be referred to CBT and PE. CONCLUSIONS A combination of socio-demographic and clinical features was not sufficient to accurately predict initial referrals to four PSR programmes among a French network of rehabilitation centres. Referrals to PSR interventions may also involve service- and clinician-level factors. Considering socio-demographic and clinical predictors revealed disparities in referrals with respect to diagnoses, current clinical and psychological issues, functioning and education.
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Affiliation(s)
- Guillaume Barbalat
- Centre Ressource de Réhabilitation Psychosociale et de Remédiation Cognitive (CRR), Hôpital Le Vinatier, Centre National de la Recherche Scientifique (CNRS) et Université de Lyon, Lyon, France
| | - Julien Plasse
- Centre Ressource de Réhabilitation Psychosociale et de Remédiation Cognitive (CRR), Hôpital Le Vinatier, Centre National de la Recherche Scientifique (CNRS) et Université de Lyon, Lyon, France
| | - Isabelle Chéreau-Boudet
- Centre Référent Conjoint de Réhabilitation (CRCR), Centre Hospitalier Universitaire de Clermont-Ferrand, Clermont-Ferrand, France
| | - Benjamin Gouache
- Centre Référent de Réhabilitation Psychosociale et de Remédiation Cognitive (C3R), Centre Hospitalier Alpes Isère, Grenoble, France
| | | | - Catherine Massoubre
- REHALise, Centre de Réhabilitation Psychosociale, Centre Hospitalier Universitaire de Saint-Etienne, Saint-Etienne, France
| | - Nathalie Guillard-Bouhet
- Centre de REhabilitation d’Activités Thérapeutiques Intersectoriel de la Vienne (CREATIV), Centre Hospitalier Laborit, Poitiers, France
| | - Frédéric Haesebaert
- Centre Ressource de Réhabilitation Psychosociale et de Remédiation Cognitive (CRR), Hôpital Le Vinatier, Centre National de la Recherche Scientifique (CNRS) et Université de Lyon, Lyon, France
| | - Nicolas Franck
- Centre Ressource de Réhabilitation Psychosociale et de Remédiation Cognitive (CRR), Hôpital Le Vinatier, Centre National de la Recherche Scientifique (CNRS) et Université de Lyon, Lyon, France
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Yeh TC, Huang CCY, Chung YA, Park SY, Im JJ, Lin YY, Ma CC, Tzeng NS, Chang HA. Resting-State EEG Connectivity at High-Frequency Bands and Attentional Performance Dysfunction in Stabilized Schizophrenia Patients. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:medicina59040737. [PMID: 37109695 PMCID: PMC10141517 DOI: 10.3390/medicina59040737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 03/24/2023] [Accepted: 04/06/2023] [Indexed: 04/29/2023]
Abstract
Background and Objectives: Attentional dysfunction has long been viewed as one of the fundamental underlying cognitive deficits in schizophrenia. There is an urgent need to understand its neural underpinning and develop effective treatments. In the process of attention, neural oscillation has a central role in filtering information and allocating resources to either stimulus-driven or goal-relevant objects. Here, we asked if resting-state EEG connectivity correlated with attentional performance in schizophrenia patients. Materials and Methods: Resting-state EEG recordings were obtained from 72 stabilized patients with schizophrenia. Lagged phase synchronization (LPS) was used to measure whole-brain source-based functional connectivity between 84 intra-cortical current sources determined by eLORETA (exact low-resolution brain electromagnetic tomography) for five frequencies. The Conners' Continuous Performance Test-II (CPT-II) was administered for evaluating attentional performance. Linear regression with a non-parametric permutation randomization procedure was used to examine the correlations between the whole-brain functional connectivity and the CPT-II measures. Results: Greater beta-band right hemispheric fusiform gyrus (FG)-lingual gyrus (LG) functional connectivity predicted higher CPT-II variability scores (r = 0.44, p < 0.05, corrected), accounting for 19.5% of variance in the CPT-II VAR score. Greater gamma-band right hemispheric functional connectivity between the cuneus (Cu) and transverse temporal gyrus (TTG) and between Cu and the superior temporal gyrus (STG) predicted higher CPT-II hit reaction time (HRT) scores (both r = 0.50, p < 0.05, corrected), accounting for 24.6% and 25.1% of variance in the CPT-II HRT score, respectively. Greater gamma-band right hemispheric Cu-TTG functional connectivity predicted higher CPT-II HRT standard error (HRTSE) scores (r = 0.54, p < 0.05, corrected), accounting for 28.7% of variance in the CPT-II HRTSE score. Conclusions: Our study indicated that increased right hemispheric resting-state EEG functional connectivity at high frequencies was correlated with poorer focused attention in schizophrenia patients. If replicated, novel approaches to modulate these networks may yield selective, potent interventions for improving attention deficits in schizophrenia.
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Affiliation(s)
- Ta-Chuan Yeh
- Department of Psychiatry, Tri-Service General Hospital, National Defense Medical Center, Taipei 114202, 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 07345, Republic of Korea
| | - Sonya Youngju Park
- Department of Nuclear Medicine, College of Medicine, The Catholic University of Korea, Seoul 07345, Republic of Korea
| | - Jooyeon Jamie Im
- Department of Psychology, Seoul National University, Seoul 08826, Republic of 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 114202, Taiwan
| | - Hsin-An Chang
- Department of Psychiatry, Tri-Service General Hospital, National Defense Medical Center, Taipei 114202, Taiwan
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Patrono E, Hrůzova K, Svoboda J, Stuchlík A. The role of optogenetic stimulations of parvalbumin-positive interneurons in the prefrontal cortex and the ventral hippocampus on an acute MK-801 model of schizophrenia-like cognitive inflexibility. Schizophr Res 2023; 252:198-205. [PMID: 36657364 DOI: 10.1016/j.schres.2022.12.047] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 12/19/2022] [Accepted: 12/30/2022] [Indexed: 01/18/2023]
Abstract
Schizophrenia research has increased in recent decades and focused more on its neural basis. Decision-making and cognitive flexibility are the main cognitive functions that are impaired and considered schizophrenia endophenotypes. Cognitive impairment was recently connected with altered functions of N-methyl-d-aspartate (NMDAR) glutamatergic receptors, which increased cortical activity. Selective NMDAR antagonists, such as MK-801, have been used to model cognitive inflexibility in schizophrenia. Decreased GABAergic inhibitory activity has been shown elsewhere with enhanced cortical activity. This imbalance in the excitatory/inhibitory may reduce the entrainment of prefrontal gamma and hippocampal theta rhythms and result in gamma/theta band de-synchronization. The current study established an acute MK-801 administration model of schizophrenia-like cognitive inflexibility in rats and used the attentional set-shifting task in which rats learned to switch/reverse the relevant rule. During the task, we used in vivo optogenetic stimulations of parvalbumin-positive interneurons at specific light pulses in the prefrontal cortex and ventral hippocampus. The first experiments showed that acute dizocilpine in rats produced schizophrenia-like cognitive inflexibility. The second set of experiments demonstrated that specific optogenetic stimulation at specific frequencies of parvalbumin-positive interneurons in the prefrontal cortex and ventral hippocampus rescued the cognitive flexibility rats that received acute MK-801. These findings advance our knowledge of the pivotal role of parvalbumin interneurons in schizophrenia-like cognitive impairment and may guide further research on this severe psychiatric disorder.
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Affiliation(s)
- Enrico Patrono
- Institute of Physiology of the Czech Academy of Sciences, Videnska, 1830, 142 20 Prague 4, Czech Republic.
| | - Karolina Hrůzova
- Institute of Physiology of the Czech Academy of Sciences, Videnska, 1830, 142 20 Prague 4, Czech Republic; Third Faculty of Medicine, Charles University, Ruská 87, 100 00, Prague 10, Czech Republic
| | - Jan Svoboda
- Institute of Physiology of the Czech Academy of Sciences, Videnska, 1830, 142 20 Prague 4, Czech Republic
| | - Aleš Stuchlík
- Institute of Physiology of the Czech Academy of Sciences, Videnska, 1830, 142 20 Prague 4, Czech Republic
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Zhuo C, Tian H, Chen J, Li Q, Yang L, Zhang Q, Chen G, Cheng L, Zhou C, Song X. Associations of cognitive impairment in patients with schizophrenia with genetic features and with schizophrenia-related structural and functional brain changes. Front Genet 2022; 13:880027. [PMID: 36061201 PMCID: PMC9437456 DOI: 10.3389/fgene.2022.880027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Accepted: 06/29/2022] [Indexed: 11/13/2022] Open
Abstract
Cognitive impairment is highly prevalent in patients with major psychiatric disorders (MPDs), including schizophrenia (SCZ), bipolar disorder, major depressive disorder, in whom it can be highly disruptive to community functioning and worsen prognosis. Previously, genetic factors and cognitive impairments in MPD patients have been examined mostly in isolated circuits rather than in the whole brain. In the present study, genetic, neuroimaging, and psychometric approaches were combined to investigate the relationship among genetic factors, alterations throughout the brain, and cognitive impairments in a large cohort of patients diagnosed with SCZ, with a reference healthy control (HC) group. Single nucleotide polymorphisms (SNPs) in SCZ-risk genes were found to be strongly related to cognitive impairments as well as to gray matter volume (GMV) and functional connectivity (FC) alterations in the SCZ group. Annotating 136 high-ranking SNPs revealed 65 affected genes (including PPP1R16B, GBBR2, PDE4B, CANCNA1C, SLC12AB, SATB2, MAG12, and SATB2). Only one, a PDE4B SNP (rs1006737), correlated with GMV (r = 0:19 p = 0.015) and FC (r = 0.21, p = 0.0074) in SCZ patients. GMV and FC alterations correlated with one another broadly across brain regions. Moreover, the present data demonstrate three-way SNP-FC-GMV associations in patients with SCZ, thus providing clues regarding potential genetic bases of cognition impairments in SCZ. SNP-FC-GMV relationships correlated with visual learning and reasoning dimensions of cognition. These data provide evidence that SCZ-related cognitive impairments may reflect genetically underlain whole-brain structural and functional alterations.
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Affiliation(s)
- Chuanjun Zhuo
- Key Laboratory of Real Time Tracing of Brian Circuits in Psychiatry and Neurology (RTBNP_Lab), Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Fourth Center Hospital, Tianjin, China
- Digital Analysis Center of Psychiatry, Tianjin Fourth Center Hospital, Tianjin, China
- Department of Psychiatry and Neurology Imaging-Genetics and Comorbidity Laboratory (PNGC_Lab) of Tianjin Mental Health Center, Tianjin Anding Hospital, Tianjin, China
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Deep Learning Center of MRI and Genetics, Wenzhou Seventh People’s Hospital, Wenzhou, China
- *Correspondence: Chuanjun Zhuo, ; Xueqin Song,
| | - Hongjun Tian
- Department of Psychiatry, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Fourth Center Hospital, Tianjin, China
| | - Jiayue Chen
- Department of Psychiatry, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Fourth Center Hospital, Tianjin, China
| | - Qianchen Li
- Department of Pharmacology, The First Hospital of Hebei Medical University, Shijiazhuang, China
| | - Lei Yang
- Department of Psychiatry, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Fourth Center Hospital, Tianjin, China
| | - Qiuyu Zhang
- Department of Psychiatry, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Fourth Center Hospital, Tianjin, China
| | - Guangdong Chen
- Department of Psychiatry, Wenzhou Seventh People’s Hospital, Wenzhou, China
| | - Langlang Cheng
- Department of Psychiatry, Wenzhou Seventh People’s Hospital, Wenzhou, China
| | - Chunhua Zhou
- Department of Pharmacology, The First Hospital of Hebei Medical University, Shijiazhuang, China
| | - Xueqin Song
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- *Correspondence: Chuanjun Zhuo, ; Xueqin Song,
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Zhuo C, Chen G, Chen J, Yang L, Zhang Q, Li Q, Wang L, Ma X, Sun Y, Jia F, Tian H, Jiang D. Baseline global brain structural and functional alterations at the time of symptom onset can predict subsequent cognitive deterioration in drug-naïve first-episode schizophrenia patients: Evidence from a follow-up study. Front Psychiatry 2022; 13:1012428. [PMID: 36311504 PMCID: PMC9615917 DOI: 10.3389/fpsyt.2022.1012428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 09/26/2022] [Indexed: 01/10/2023] Open
Abstract
Alterations in the global brain gray matter volume (gGMV) and global functional connectivity density (gFCD) play a pivotal role in the cognitive impairment and further deterioration in schizophrenia. This study aimed to assess the correlation between alterations in the gGMV and gFCD at baseline (ΔgGMV and ΔgFCD), and the subsequent alterations of cognitive function in schizophrenia patients after 2-year antipsychotic treatment. Global-brain magnetic resonance imaging scans were acquired from 877 drug-naïve, first-episode schizophrenia patients at baseline and after two years of antipsychotic treatment with adequate dosage and duration, and 200 healthy controls. According to ΔgGMV at baseline, schizophrenia patients were divided into mild, moderate, and severe alteration groups. The MATRICS consensus cognitive battery and Global Deficit Score (GDS) were used to assess cognitive impairment. We found that ΔgGMV and ΔgFCD at baseline were significantly correlated with the severity of the cognitive deterioration (ΔGDS). The correlation coefficient indicated a significant positive correlation between baseline ΔgFCD and subsequent cognitive deterioration, with a relatively stronger relation in the mild alteration group (r = 0.31). In addition, there was a significant positive correlation between baseline ΔgGMV and subsequent cognitive deterioration, with a stronger relation in the moderate and severe alteration groups (r = 0.303; r = 0.302, respectively). Our results showed that ΔgGMV and ΔgFCD are correlated with the severity of cognitive deterioration after completion of a 2-year antipsychotic treatment in schizophrenia patients. These findings suggest that baseline alterations in gGMV and gFCD hold potential for predicting subsequent cognitive decline in schizophrenia.
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Affiliation(s)
- Chuanjun Zhuo
- Key Laboratory of Sensory Information Processing Abnormalities in Schizophrenia (SIPAS_Lab), Tianjin Fourth Center Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Medical University Affiliated of Tianjin Fourth Center Hospital, Tianjin, China.,Department of Psychiatry, Wenzhou Seventh Peoples Hospital, Wenzhou, China.,Department of Psychiatry, Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Nankai University Affiliated Tianjin Anding Hospital, Tianjin, China
| | - Guangdong Chen
- Department of Psychiatry, Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Jiayue Chen
- Key Laboratory of Sensory Information Processing Abnormalities in Schizophrenia (SIPAS_Lab), Tianjin Fourth Center Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Medical University Affiliated of Tianjin Fourth Center Hospital, Tianjin, China
| | - Lei Yang
- Key Laboratory of Sensory Information Processing Abnormalities in Schizophrenia (SIPAS_Lab), Tianjin Fourth Center Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Medical University Affiliated of Tianjin Fourth Center Hospital, Tianjin, China
| | - Qiuyu Zhang
- Key Laboratory of Sensory Information Processing Abnormalities in Schizophrenia (SIPAS_Lab), Tianjin Fourth Center Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Medical University Affiliated of Tianjin Fourth Center Hospital, Tianjin, China
| | - Qianchen Li
- Key Laboratory of Sensory Information Processing Abnormalities in Schizophrenia (SIPAS_Lab), Tianjin Fourth Center Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Medical University Affiliated of Tianjin Fourth Center Hospital, Tianjin, China
| | - Lina Wang
- Department of Psychiatry, Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Nankai University Affiliated Tianjin Anding Hospital, Tianjin, China
| | - Xiaoyan Ma
- Department of Psychiatry, Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Nankai University Affiliated Tianjin Anding Hospital, Tianjin, China
| | - Yun Sun
- Department of Psychiatry, Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Nankai University Affiliated Tianjin Anding Hospital, Tianjin, China
| | - Feng Jia
- Department of Psychiatry, Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Nankai University Affiliated Tianjin Anding Hospital, Tianjin, China
| | - Hongjun Tian
- Key Laboratory of Sensory Information Processing Abnormalities in Schizophrenia (SIPAS_Lab), Tianjin Fourth Center Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Medical University Affiliated of Tianjin Fourth Center Hospital, Tianjin, China
| | - Deguo Jiang
- Department of Psychiatry, Wenzhou Seventh Peoples Hospital, Wenzhou, China
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Is short-term memory capacity (7±2) really predicted by theta to gamma cycle length ratio? Behav Brain Res 2021; 414:113465. [PMID: 34265319 DOI: 10.1016/j.bbr.2021.113465] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 07/10/2021] [Accepted: 07/11/2021] [Indexed: 11/22/2022]
Abstract
Several studies suggest that EEG parameters, reflecting top-down processes in the brain, may predict cognitive performance, e.g. short-term memory (STM) capacity. According to Lisman and Idiart's model, STM capacity is predicted by theta and gamma EEG waves and their ratio. This model suggests that the more periods of gamma band waves fit into one period of theta band waves, the more information can be stored. We replicated the study by Kaminski et al. (2011), which recorded spontaneous EEG activity and measured verbal STM capacity with a modified digit span task from the Wechsler battery. Our study included more subjects and two EEG recording sessions. We discuss the possible limits of EEG correlates of STM capacity as EEG parameters were not stable across the two measurements and no correlation was found between the theta/gamma ratio and performance in the digit span task.
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De la Torre GG, Doval S, López-Sanz D, García-Sedeño M, Ramallo MA, Bernal M, González-Torre S. Neurocognitive Impairment in Severe Mental Illness. Comparative study with Spanish Speaking Patients. Brain Sci 2021; 11:389. [PMID: 33808661 PMCID: PMC8003381 DOI: 10.3390/brainsci11030389] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Revised: 03/12/2021] [Accepted: 03/16/2021] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Serious mental illness (SMI) represents a category of psychiatric disorders characterized by specific difficulties of personal and social functioning, derived from suffering severe and persistent mental health problems. AIMS We wanted to look into differences in cognitive performance among different SMI patients. METHODS Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) screening was applied in one sample of SMI patients (n = 149) and another of healthy comparison participants (n = 35). Within the SMI sample, three different subsamples were formed: one with 97 patients with schizophrenia, a second with 29 patients with mood disorders, and a third with 23 patients with personality disorder. We performed a comparative study within and between groups. RESULTS Analysis of covariance was performed. Significant differences were found for cognitive functioning including attention and memory. CONCLUSIONS RBANS can be recommended for the detection of neurocognitive deficits in psychiatric disorders, especially in Schizophrenia.
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Affiliation(s)
- Gabriel G. De la Torre
- Neuropsychology and Experimental Psychology Lab, University of Cadiz, 11510 Puerto Real, Spain; (M.G.-S.); (M.A.R.); (S.G.-T.)
| | - Sandra Doval
- Center for Biomedical Technology, Technical University of Madrid, 28040 Madrid, Spain; (S.D.); (D.L.-S.)
- Department of Experimental Psychology, Complutense University of Madrid (UCM), 28223 Madrid, Spain
| | - David López-Sanz
- Center for Biomedical Technology, Technical University of Madrid, 28040 Madrid, Spain; (S.D.); (D.L.-S.)
- Department of Psychobiology and Methodology in Behavioral Sciences, Complutense University of Madrid (UCM), 28223 Madrid, Spain
| | - Manuel García-Sedeño
- Neuropsychology and Experimental Psychology Lab, University of Cadiz, 11510 Puerto Real, Spain; (M.G.-S.); (M.A.R.); (S.G.-T.)
| | - Miguel A. Ramallo
- Neuropsychology and Experimental Psychology Lab, University of Cadiz, 11510 Puerto Real, Spain; (M.G.-S.); (M.A.R.); (S.G.-T.)
| | | | - Sara González-Torre
- Neuropsychology and Experimental Psychology Lab, University of Cadiz, 11510 Puerto Real, Spain; (M.G.-S.); (M.A.R.); (S.G.-T.)
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Chen T, Su H, Zhong N, Tan H, Li X, Meng Y, Duan C, Zhang C, Bao J, Xu D, Song W, Zou J, Liu T, Zhan Q, Jiang H, Zhao M. Disrupted brain network dynamics and cognitive functions in methamphetamine use disorder: insights from EEG microstates. BMC Psychiatry 2020; 20:334. [PMID: 32580716 PMCID: PMC7315471 DOI: 10.1186/s12888-020-02743-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Accepted: 06/18/2020] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Dysfunction in brain network dynamics has been found to correlate with many psychiatric disorders. However, there is limited research regarding resting electroencephalogram (EEG) brain network and its association with cognitive process for patients with methamphetamine use disorder (MUD). This study aimed at using EEG microstate analysis to determine whether brain network dynamics in patients with MUD differ from those of healthy controls (HC). METHODS A total of 55 MUD patients and 27 matched healthy controls were included for analysis. The resting brain activity was recorded by 64-channel electroencephalography. EEG microstate parameters and intracerebral current sources of each EEG microstate were compared between the two groups. Generalized linear regression model was used to explore the correlation between significant microstates with drug history and cognitive functions. RESULTS MUD patients showed lower mean durations of the microstate classes A and B, and a higher global explained variance of the microstate class C. Besides, MUD patients presented with different current density power in microstates A, B, and C relative to the HC. The generalized linear model showed that MA use frequency is negatively correlated with the MMD of class A. Further, the generalized linear model showed that MA use frequency, scores of Two-back task, and the error rate of MA word are correlated with the MMD and GEV of class B, respectively. CONCLUSIONS Intracranial current source densities of resting EEG microstates are disrupted in MUD patients, hence causing temporal changes in microstate topographies, which are correlated with attention bias and history of drug use.
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Affiliation(s)
- Tianzhen Chen
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030 China
| | - Hang Su
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030 China
| | - Na Zhong
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030 China
| | - Haoye Tan
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030 China
| | - Xiaotong Li
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030 China
| | - Yiran Meng
- Yunnan Institute on Drug Dependence, Kunming, Yunnan China
| | - Chunmei Duan
- Yunnan Institute on Drug Dependence, Kunming, Yunnan China
| | - Congbin Zhang
- Yunnan Institute on Drug Dependence, Kunming, Yunnan China
| | - Juwang Bao
- grid.28703.3e0000 0000 9040 3743Institute of Higher Education, Beijing University of Technology, Beijing, China
| | - Ding Xu
- Shanghai Bureau of Drug Rehabilitation Administration, Shanghai, China
| | - Weidong Song
- Shanghai Bureau of Drug Rehabilitation Administration, Shanghai, China
| | - Jixue Zou
- Department of Health, Yunnan Bureau of Drug Rehabilitation Administration, Kunming, Yunnan China
| | - Tao Liu
- Yunnan Third Compulsory Drug Dependence Rehablitation Center Hospital, Kunming, Yunnan China
| | - Qingqing Zhan
- Yunnan Third Compulsory Drug Dependence Rehablitation Center Hospital, Kunming, Yunnan China
| | - Haifeng Jiang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030, China. .,Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China.
| | - Min Zhao
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030 China ,grid.415630.50000 0004 1782 6212Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China ,grid.16821.3c0000 0004 0368 8293Institute of Psychological and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China ,grid.9227.e0000000119573309CAS Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Sciences, Shanghai, China
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9
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Lho SK, Kim M, Park J, Hwang WJ, Moon SY, Oh S, Kwon JS. Progressive Impairment of Mismatch Negativity Is Reflective of Underlying Pathophysiological Changes in Patients With First-Episode Psychosis. Front Psychiatry 2020; 11:587. [PMID: 32625126 PMCID: PMC7314980 DOI: 10.3389/fpsyt.2020.00587] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2020] [Accepted: 06/08/2020] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Although mismatch negativity (MMN) is associated with the pathophysiology of schizophrenia, whether MMN progressively worsens during the initial years of psychotic disorder has not yet been sufficiently studied. We aimed to investigate whether longitudinal reduction of MMN occurs in patients with first-episode psychosis (FEP) and whether it is reflective of change in cognitive functioning or clinical status. METHODS MMN and the clinical status of 25 patients with FEP were measured and the Trail Making Test (TMT) was administered at baseline and reassessed after 1 year of usual treatment. The MMN of 25 matched healthy controls (HCs) was measured at baseline. Repeated-measures analysis of variance was used to compare MMNs at baseline among the groups, and paired t-test was utilized to compare the baseline and 1-year MMN amplitudes of FEP patients. To identify the association between changes in MMN and changes in cognitive, symptomatic, or functional status over 1 year, multiple regression analysis was used to control for other possible confounders. RESULTS MMN amplitudes at baseline were significantly attenuated in FEP patients compared to those in HC. The 1-year follow-up MMN amplitude decreased significantly at the Fz electrode site in the FEP group. Additionally, the decreased MMN amplitude significantly correlated with worsened TMT part B (TMT-B) performance over 1 year but did not correlate with symptomatic or functional improvement. CONCLUSIONS FEP patients with an MMN amplitude reduction showed worsening of cognitive functioning, which might reflect pathophysiological progression during the early years of a psychotic episode.
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Affiliation(s)
- Silvia Kyungjin Lho
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea.,Department of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea
| | - Minah Kim
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea.,Department of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea
| | - Jihye Park
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, South Korea
| | - Wu Jeong Hwang
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, South Korea
| | - Sun-Young Moon
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea.,Department of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea
| | - Sanghoon Oh
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea.,Department of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea
| | - Jun Soo Kwon
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea.,Department of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea.,Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, South Korea.,Institute of Human Behavioral Medicine, SNU-MRC, Seoul, South Korea
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10
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Biagianti B, Fisher M, Loewy R, Brandrett B, Ordorica C, LaCross K, Schermitzler B, McDonald M, Ramsay I, Vinogradov S. Specificity and Durability of Changes in Auditory Processing Efficiency After Targeted Cognitive Training in Individuals With Recent-Onset Psychosis. Front Psychiatry 2020; 11:857. [PMID: 33005156 PMCID: PMC7484996 DOI: 10.3389/fpsyt.2020.00857] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Accepted: 08/06/2020] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND We previously demonstrated that the high heterogeneity of response to computerized Auditory Training (AT) in psychosis can be ascribed to individual differences in sensory processing efficiency and neural plasticity. In particular, we showed that Auditory Processing Speed (APS) serves as a behavioral measure of target engagement, with faster speed predicting greater transfer effects to untrained cognitive domains. Here, we investigate whether the ability of APS to function as a proxy for target engagement is unique to AT, or if it applies to other training interventions, such as Executive Functioning Training (EFT). Additionally, we examine whether changes in APS are durable after these two forms of training. METHODS One hundred and twenty-five participants with Recent Onset Psychosis (ROP) were randomized to AT (n = 66) and EFT (n = 59), respectively. APS was captured at baseline, after treatment, and at 6-month follow-up. Mixed models repeated measures analysis with restricted maximum likelihood was used to examine whether training condition differentiated APS trajectories. Within-group correlational analyses were used to study the relationship between APS and performance improvements in each of the training exercises. RESULTS The two groups were matched for age, gender, education, and baseline APS. Participants showed high inter-individual variability in APS at each time point. The mixed model showed a significant effect of time (F = 5.99, p = .003) but not a significant group-by-time effect (F = .73, p = .48). This was driven by significant APS improvements AT patients after treatment (d = .75) that were maintained after 6 months (d = .63). Conversely, in EFT patients, APS improvements did not reach statistical significance after treatment (p = .33) or after 6 months (p = .24). In AT patients, baseline APS (but not APS change) highly predicted peak performance for each training exercise (all r's >.42). CONCLUSIONS Participant-specific speed in processing basic auditory stimuli greatly varies in ROP, and strongly influences the magnitude of response to auditory but not executive functioning training. Importantly, enhanced auditory processing efficiency persists 6 months after AT, suggesting the durability of neuroplasticity processes induced by this form of training. Future studies should aim to identify markers of target engagement and durability for cognitive training interventions that target sensory modalities beyond the auditory domain.
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Affiliation(s)
- Bruno Biagianti
- Department of R&D, Posit Science Corporation, San Francisco, CA, United States.,Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Melissa Fisher
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, United States
| | - Rachel Loewy
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States
| | | | - Catalina Ordorica
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States
| | - Kristin LaCross
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States
| | - Brandon Schermitzler
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, United States
| | - Michelle McDonald
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, United States
| | - Ian Ramsay
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, United States
| | - Sophia Vinogradov
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, United States
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Jafarian A, Zeidman P, Litvak V, Friston K. Structure learning in coupled dynamical systems and dynamic causal modelling. PHILOSOPHICAL TRANSACTIONS. SERIES A, MATHEMATICAL, PHYSICAL, AND ENGINEERING SCIENCES 2019; 377:20190048. [PMID: 31656140 PMCID: PMC6833995 DOI: 10.1098/rsta.2019.0048] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 09/18/2019] [Indexed: 05/03/2023]
Abstract
Identifying a coupled dynamical system out of many plausible candidates, each of which could serve as the underlying generator of some observed measurements, is a profoundly ill-posed problem that commonly arises when modelling real-world phenomena. In this review, we detail a set of statistical procedures for inferring the structure of nonlinear coupled dynamical systems (structure learning), which has proved useful in neuroscience research. A key focus here is the comparison of competing models of network architectures-and implicit coupling functions-in terms of their Bayesian model evidence. These methods are collectively referred to as dynamic causal modelling. We focus on a relatively new approach that is proving remarkably useful, namely Bayesian model reduction, which enables rapid evaluation and comparison of models that differ in their network architecture. We illustrate the usefulness of these techniques through modelling neurovascular coupling (cellular pathways linking neuronal and vascular systems), whose function is an active focus of research in neurobiology and the imaging of coupled neuronal systems. This article is part of the theme issue 'Coupling functions: dynamical interaction mechanisms in the physical, biological and social sciences'.
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Affiliation(s)
- Amirhossein Jafarian
- The Wellcome Centre for Human Neuroimaging, Institute of Neurology, 12 Queen Square, London WC1N 3AR, UK
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12
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Yang HL, Chu H, Miao NF, Chang PC, Tseng P, Chen R, Chiu HL, Banda KJ, Chou KR. The Construction and Evaluation of Executive Attention Training to Improve Selective Attention, Focused Attention, and Divided Attention for Older Adults With Mild Cognitive Impairment: A Randomized Controlled Trial. Am J Geriatr Psychiatry 2019; 27:1257-1267. [PMID: 31248769 DOI: 10.1016/j.jagp.2019.05.017] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Revised: 05/24/2019] [Accepted: 05/25/2019] [Indexed: 10/26/2022]
Abstract
OBJECTIVES To examine the immediate and long-term effects of executive attention training on selective attention, focused attention, and divided attention in older adults with mild cognitive impairment. METHODS A double-blind, multisite randomized controlled trial at five sites. Seventy participants (mean age: 78.19 ± 7.22 years) were assigned to an experimental group (executive attention training, n = 35) or an active control group (n = 35). The training duration was the same for both groups (45 minutes per session, 3 times per week, 18 sessions in total). Primary outcome measure was selective attention (Digit Span Task). Secondary outcome measures included focused attention (Stroop Color Word Test) and divided attention (Trail-Making Test Part B). Data were collected at pretest, post-test, 3-month follow-up, and 6-month follow-up. RESULTS In GEE analysis, findings indicated a significant improvement in selective attention at post-test, whereas divided attention showed significant reducing omission error at 3-month follow-up. There was no significant effect of group in focused attention associated with the executive attention training compared with active control group. CONCLUSION The executive attention training significantly improved selective attention and divided attention performance. Future studies should identify transfer effects of attention training, and that can employ early screening to provide integrated attention training, and decrease its relevant risks on competency in performing daily activities, such as falling and driving.
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Affiliation(s)
- Hui-Ling Yang
- School of Occupational Therapy, College of Medicine, National Taiwan University, Taipei, Taiwan; School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan
| | - Hsin Chu
- Institute of Aerospace and Undersea Medicine, School of Medicine, National Defense Medical Center, Taipei, Taiwan; Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Nae-Fang Miao
- Post-Baccalaureate Program in Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan
| | - Pi-Chen Chang
- School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan
| | - Philip Tseng
- Graduate Institute of Humanities in Medicine, Taipei Medical University, Taipei, Taiwan; Graduate Institute of Mind, Brain and Consciousness, Taipei Medical University, Taipei, Taiwan; Brain and Consciousness Research Center, TMU - Shuang Ho Hospital, New Taipei City, Taiwan
| | - Ruey Chen
- School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan; Department of Nursing, Taipei Medical University-Shuang Ho Hospital, Taipei, Taiwan
| | - Huei-Ling Chiu
- School of Gerontology Health Management, College of Nursing, Taipei Medical University, Taipei, Taiwan
| | - Kondwani Joseph Banda
- School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan; Endoscopy Unit, Department of Surgery , Kamuzu Central Hospital, Lilongwe, Malawi
| | - Kuei-Ru Chou
- School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan; Department of Nursing, Taipei Medical University-Shuang Ho Hospital, Taipei, Taiwan; Psychiatric Research Center, Taipei Medical University Hospital, Taipei, Taiwan.
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Pillinger T, Rogdaki M, McCutcheon RA, Hathway P, Egerton A, Howes OD. Altered glutamatergic response and functional connectivity in treatment resistant schizophrenia: the effect of riluzole and therapeutic implications. Psychopharmacology (Berl) 2019; 236:1985-1997. [PMID: 30820633 PMCID: PMC6642056 DOI: 10.1007/s00213-019-5188-5] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2018] [Accepted: 01/30/2019] [Indexed: 01/09/2023]
Abstract
RATIONALE Anterior cingulate cortex (ACC) glutamatergic abnormalities are reported in treatment-resistant schizophrenia (TRS) and implicated in functional dysconnectivity and psychopathology. Preclinical evidence indicates riluzole reduces synaptic glutamate. However, it is unknown whether riluzole can modulate glutamate metabolite levels and associated functional connectivity in TRS. OBJECTIVES To examine the relationship between glutamatergic function and cortical connectivity and determine if riluzole can modulate glutamate metabolite levels and cortical functional connectivity in TRS. METHODS Nineteen TRS patients and 18 healthy volunteers (HV) underwent magnetic resonance imaging consisting of MR spectroscopy measuring ACC glutamate plus glutamine (Glx), fMRI measuring resting ACC-functional connectivity, and arterial spin labelling measuring regional cerebral blood flow (rCBF), and clinical measures. They then received 50 mg riluzole twice daily for 2 days when imaging was repeated. RESULTS Baseline (pre-riluzole) Glx levels were correlated directly with negative symptom severity (r = 0.49; p = 0.03) and inversely with verbal learning in TRS (r = - 0.63; p = 0.002), but not HV (r = - 0.24; p = 0.41). Connectivity between the ACC and anterior prefrontal cortex (aPFC) was correlated with verbal learning in TRS (r = 0.49; p = 0.04), but not HV (r = 0.28; p = 0.33). There was a significant group × time interaction effect on Glx levels (p < 0.05) and on ACC connectivity to the aPFC (p < 0.05, FWE-corrected). Riluzole decreased Glx and increased ACC-aPFC connectivity in TRS relative to HV. Change in Glx correlated inversely with change in ACC-aPFC connectivity in TRS (r = - 0.52; p = 0.02) but not HV (r = 0.01; p = 0.98). Riluzole did not alter rCBF (p > 0.05), indicating absence of a non-specific blood flow effect. CONCLUSION Results indicate glutamatergic function and cortical connectivity are linked to symptoms and cognitive measures and that it is possible to pharmacologically modulate them in TRS.
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Affiliation(s)
- Toby Pillinger
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, England
- Medical Research Council London Institute of Medical Sciences, London, England
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, England
| | - Maria Rogdaki
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, England
- Medical Research Council London Institute of Medical Sciences, London, England
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, England
| | - Robert A. McCutcheon
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, England
- Medical Research Council London Institute of Medical Sciences, London, England
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, England
| | - Pamela Hathway
- Department of Electrical and Electronic Engineering, Imperial College London, London, England
| | - Alice Egerton
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, England
| | - Oliver D. Howes
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, England
- Medical Research Council London Institute of Medical Sciences, London, England
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, England
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