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Günther A, Hanganu-Opatz IL. Neuronal oscillations: early biomarkers of psychiatric disease? Front Behav Neurosci 2022; 16:1038981. [PMID: 36600993 PMCID: PMC9806131 DOI: 10.3389/fnbeh.2022.1038981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 11/09/2022] [Indexed: 12/23/2022] Open
Abstract
Our understanding of the environmental and genetic factors contributing to the wide spectrum of neuropsychiatric disorders has significantly increased in recent years. Impairment of neuronal network activity during early development has been suggested as a contributor to the emergence of neuropsychiatric pathologies later in life. Still, the neurobiological substrates underlying these disorders remain yet to be fully understood and the lack of biomarkers for early diagnosis has impeded research into curative treatment options. Here, we briefly review current knowledge on potential biomarkers for emerging neuropsychiatric disease. Moreover, we summarize recent findings on aberrant activity patterns in the context of psychiatric disease, with a particular focus on their potential as early biomarkers of neuropathologies, an essential step towards pre-symptomatic diagnosis and, thus, early intervention.
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Gallucci J, Pomarol-Clotet E, Voineskos AN, Guerrero-Pedraza A, Alonso-Lana S, Vieta E, Salvador R, Hawco C. Longer illness duration is associated with greater individual variability in functional brain activity in Schizophrenia, but not bipolar disorder. Neuroimage Clin 2022; 36:103269. [PMID: 36451371 PMCID: PMC9723315 DOI: 10.1016/j.nicl.2022.103269] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 10/24/2022] [Accepted: 11/14/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND Individuals with schizophrenia exhibit greater inter-patient variability in functional brain activity during neurocognitive task performance. Some studies have shown associations of age and illness duration with brain function; however, the association of these variables with variability in brain function activity is not known. In order to better understand the progressive effects of age and illness duration across disorders, we examined the relationship with individual variability in brain activity. METHODS Neuroimaging and behavioural data were extracted from harmonized datasets collectively including 212 control participants, 107 individuals with bipolar disorder, and 232 individuals with schizophrenia (total n = 551). Functional activity in response to an N-back working memory task (2-back vs 1-back) was examined. Individual variability was quantified via the correlational distance of fMRI activity between participants; mean correlational distance of one participant in relation to all others was defined as a 'variability score'. RESULTS Greater individual variability was found in the schizophrenia group compared to the bipolar disorder and control groups (p = 1.52e-09). Individual variability was significantly associated with aging (p = 0.027), however, this relationship was not different across diagnostic groups. In contrast, in the schizophrenia sample only, a longer illness duration was associated with increased variability (p = 0.027). CONCLUSION An increase in variability was observed in the schizophrenia group related to illness duration, beyond the effects of normal aging, implying illness-related deterioration of cognitive networks. This has clinical implications for considering long-term trajectories in schizophrenia and progressive neural and cognitive decline which may be amiable to novel treatments.
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Affiliation(s)
- Julia Gallucci
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada,Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Edith Pomarol-Clotet
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Catalonia, Spain,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Catalonia, Spain
| | - Aristotle N. Voineskos
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Amalia Guerrero-Pedraza
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Catalonia, Spain,Benito Menni Complex Assistencial en Salut Mental, Barcelona, Catalonia, Spain
| | - Silvia Alonso-Lana
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Catalonia, Spain,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Catalonia, Spain,Research Centre and Memory Clinic, Fundació ACE Institut Català de Neurociències Aplicades – Universitat Internacional de Catalunya (UIC), Barcelona, Spain
| | - Eduard Vieta
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Catalonia, Spain,Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, Barcelona, Catalonia, Spain
| | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Catalonia, Spain,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Catalonia, Spain
| | - Colin Hawco
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada,Corresponding authors at: Centre for Addiction and Mental Health, 250 College Street, Toronto, ON, Spain.
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Soldevila-Matías P, García-Martí G, Fuentes-Durá I, Ruiz JC, González-Navarro L, González-Vivas C, Radua J, Sanjuán J. Brain activity changes with emotional words in different stages of psychosis. Eur Psychiatry 2022; 66:e25. [PMID: 36193735 PMCID: PMC10044295 DOI: 10.1192/j.eurpsy.2022.2321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND To date, a large number of functional magnetic resonance imaging (fMRI) studies have been conducted on psychosis. However, little is known about changes in brain functioning in psychotic patients using an emotional auditory paradigm at different stages of the disease. Such knowledge is important for advancing our understanding of the disorder and thus creating more targeted interventions. This study aimed to investigate whether individuals with first-episode psychosis (FEP) and chronic schizophrenia show abnormal brain responses to emotional auditory processing and to compare the responses between FEP and chronic schizophrenia. METHODS Patients with FEP (n = 31) or chronic schizophrenia (n = 23) and healthy controls (HCs, n = 31) underwent an fMRI scan while presented with both emotional and nonemotional words. RESULTS Using HC as a reference, patients with FEP showed decreased right temporal activation, while patients with chronic schizophrenia showed increased bilateral temporal activation. When comparing the patient groups, individuals with FEP showed lower frontal lobe activation. CONCLUSION To the best of our knowledge, this is the first study with an emotional auditory paradigm used in psychotic patients at different stages of the disease. Our results suggested that the temporal lobe might be a key issue in the physiopathology of psychosis, although abnormal activation could also be derived from a connectivity problem. There is lower activation in the early stage and evolution to greater activation when patients become chronic. This study highlights the relevance of using emotional paradigms to better understand brain activation at different stages of psychosis.
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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.,Department of Psychology, Faculty of Health Sciences, European University of Valencia, Spain
| | - Gracián García-Martí
- CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain.,Biomedical Engineering Unit/Radiology Department, Quirónsalud Hospital, Valencia, Spain
| | - Inmaculada Fuentes-Durá
- Research Institute of Clinic University Hospital of Valencia (INCLIVA), Valencia, Spain.,CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain.,Department of Personality, Evaluation and Psychological Treatment, Faculty of Psychology, University of Valencia, Valencia, Spain
| | - Juan Carlos Ruiz
- Department of Behavioural Sciences Methodology, Faculty of Psychology, University of Valencia, Valencia, Spain
| | | | - Carlos González-Vivas
- Research Institute of Clinic University Hospital of Valencia (INCLIVA), Valencia, Spain
| | - Joaquim Radua
- 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, United Kingdom
| | - Julio Sanjuán
- Research Institute of Clinic University Hospital of Valencia (INCLIVA), Valencia, Spain.,Department of Psychology, Faculty of Health Sciences, European University of Valencia, Spain.,Department of Psychiatry, University of Valencia School of Medicine, Valencia, Spain
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4
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Soldevila-Matías P, Albajes-Eizagirre A, Radua J, García-Martí G, Rubio JM, Tordesillas-Gutierrez D, Fuentes-Durá I, Solanes A, Fortea L, Oliver D, Sanjuán J. Precuneus and insular hypoactivation during cognitive processing in first-episode psychosis: Systematic review and meta-analysis of fMRI studies. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2022; 15:101-116. [PMID: 35840277 DOI: 10.1016/j.rpsmen.2022.06.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 08/09/2020] [Indexed: 06/15/2023]
Abstract
INTRODUCTION The neural correlates of the cognitive dysfunction in first-episode psychosis (FEP) are still unclear. The present review and meta-analysis provide an update of the location of the abnormalities in the fMRI-measured brain response to cognitive processes in individuals with FEP. METHODS Systematic review and voxel-based meta-analysis of cross-sectional fMRI studies comparing neural responses to cognitive tasks between individuals with FEP and healthy controls (HC) according to PRISMA guidelines. RESULTS Twenty-six studies were included, comprising 598 individuals with FEP and 567 HC. Individual studies reported statistically significant hypoactivation in the dorsolateral prefrontal cortex (6 studies), frontal lobe (8 studies), cingulate (6 studies) and insula (5 studies). The meta-analysis showed statistically significant hypoactivation in the left anterior insula, precuneus and bilateral striatum. CONCLUSIONS While the studies tend to highlight frontal hypoactivation during cognitive tasks in FEP, our meta-analytic results show that the left precuneus and insula primarily display aberrant activation in FEP that may be associated with salience attribution to external stimuli and related to deficits in perception and regulation.
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Affiliation(s)
- Pau Soldevila-Matías
- Research Institute of the Hospital Clínic Universitari of Valencia (INCLIVA), Valencia, Spain; Department of Basic Psychology, Faculty of Psychology, University of Valencia, Valencia, Spain
| | - Anton Albajes-Eizagirre
- Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; FIDMAG Germanes Hospitalàries, Sant Boi de Llobregat, Barcelona, Spain; Center for Networking Biomedical Research in Mental Health (CIBERSAM), Spain
| | - Joaquim Radua
- Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; FIDMAG Germanes Hospitalàries, Sant Boi de Llobregat, Barcelona, Spain; Center for Networking Biomedical Research in Mental Health (CIBERSAM), Spain; Centre for Psychiatric Research and Education, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
| | - Gracián García-Martí
- Center for Networking Biomedical Research in Mental Health (CIBERSAM), Spain; Biomedical Engineering Unit/Radiology Department, Quirónsalud Hospital, Spain
| | - José M Rubio
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New York, USA; The Feinstein Institute, Northwell Health Hospital, New York, USA
| | - Diana Tordesillas-Gutierrez
- Center for Networking Biomedical Research in Mental Health (CIBERSAM), Spain; University Hospital Marqués de Valdecilla (IDIVAL), Department of Psychiatry, School of Medicine, University of Cantabria, Spain; Neuroimaging Unit, Technological Facilities, Valdecilla Biomedical Research Institute IDIVAL, Santander, Cantabria, Spain
| | - Inmaculada Fuentes-Durá
- Center for Networking Biomedical Research in Mental Health (CIBERSAM), Spain; Department of Personality, Assessment and Psychological Treatment, Faculty of Psychology, University of Valencia, Valencia, Spain
| | - Aleix Solanes
- Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Center for Networking Biomedical Research in Mental Health (CIBERSAM), Spain
| | - Lydia Fortea
- Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Center for Networking Biomedical Research in Mental Health (CIBERSAM), Spain
| | - Dominic Oliver
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; OASIS Service, South London and the Maudsley NHS Foundation Trust, London, UK
| | - Julio Sanjuán
- Research Institute of the Hospital Clínic Universitari of Valencia (INCLIVA), Valencia, Spain; Center for Networking Biomedical Research in Mental Health (CIBERSAM), Spain; Department of Psychiatric, University of Valencia, School of Medicine, Valencia, Spain
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5
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van Gool KCA, Collin G, Bauer CCC, Molokotos E, Mesholam-Gately RI, Thermenos HW, Seidman LJ, Gabrieli JDE, Whitfield-Gabrieli S, Keshavan MS. Altered working memory-related brain activity in children at familial high risk for psychosis: A preliminary study. Schizophr Res 2022; 240:186-192. [PMID: 35032903 DOI: 10.1016/j.schres.2021.12.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 10/03/2021] [Accepted: 12/22/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND Schizophrenia spectrum disorders are heritable illnesses that usually manifest in early adulthood but are increasingly viewed as neurodevelopmental disorders. Functional magnetic resonance imaging (fMRI) studies show altered brain activity during performance of working memory (WM) tasks in both individuals with schizophrenia and their first-degree relatives as compared to healthy controls (HC). This study examined whether similar changes are already present in pre-adolescent children at familial high-risk (FHR) for psychosis. METHODS 37 children (17 FHR, 20 HC) between 7 and 12 years old participated in this study. WM performance was assessed using the Wechsler Intelligence Scale for Children-IV (WISC-IV). To assess brain activation during WM performance, participants completed a visual block-designed n-back task with 2 conditions (2-back and 0-back) during scanning. fMRI data was preprocessed and analyzed using FSL Feat. RESULTS Compared to HC, FHR children showed significantly lower WISC-IV WM scores. In addition, FHR children exhibited hypoactivation in the 2-back (versus 0-back) condition in a cluster encompassing bilateral precuneus and cuneus and right posterior cingulate cortex. There were no significant group-differences in n-back task performance and brain activation. The precuneus cluster was not correlated with n-back performance or WISC WM scores. CONCLUSIONS The current results provide preliminary evidence of impaired WM function and altered brain activity during WM performance in children with a familial predisposition for psychosis. Longitudinal studies are needed to determine whether these findings are related to abnormal brain development and predictive of cognitive deficits and psychosis later in life.
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Affiliation(s)
- Kevin C A van Gool
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht, the Netherlands.
| | - Guusje Collin
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht, the Netherlands; Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
| | - Clemens C C Bauer
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Psychology, Northeastern University, Boston, MA, USA
| | - Elena Molokotos
- Department of Psychology, Suffolk University, Boston, MA, USA
| | | | - Heidi W Thermenos
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Larry J Seidman
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - John D E Gabrieli
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Susan Whitfield-Gabrieli
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Psychology, Northeastern University, Boston, MA, USA
| | - Matcheri S Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; Department of Mental Health, Massachusetts Mental Health Center, Boston, MA, USA
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6
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Zhou J, Li J, Zhao Q, Ou P, Zhao W. Working memory deficits in children with schizophrenia and its mechanism, susceptibility genes, and improvement: A literature review. Front Psychiatry 2022; 13:899344. [PMID: 35990059 PMCID: PMC9389215 DOI: 10.3389/fpsyt.2022.899344] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 07/20/2022] [Indexed: 11/13/2022] Open
Abstract
The negative influence on the cognitive ability of schizophrenia is one of the issues widely discussed in recent years. Working memory deficits are thought to be a core cognitive symptom of schizophrenia and lead to poorer social functions and worse academic performance. Previous studies have confirmed that working memory deficits tend to appear in the prodromal phase of schizophrenia. Therefore, considering that children with schizophrenia have better brain plasticity, it is critical to explore the development of their working memory. Although the research in this field developed gradually in recent years, few researchers have summarized these findings. The current study aims to review the recent studies from both behavior and neuroimaging aspects to summarize the working memory deficits of children with schizophrenia and to discuss the pathogenic factors such as genetic susceptibility. In addition, this study put forward some practicable interventions to improve cognitive symptoms of schizophrenia from psychological and neural perspectives.
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Affiliation(s)
- Jintao Zhou
- School of Psychology, Nanjing Normal University, Nanjing, China.,Department of Psychology, Fudan University, Shanghai, China
| | - Jingfangzhou Li
- School of Psychology, Nanjing Normal University, Nanjing, China
| | - Qi Zhao
- Department of Psychology, Faculty of Social Sciences, University of Macau, Macao, Macao SAR, China
| | - Peixin Ou
- Department of Psychology, Faculty of Social Sciences, University of Macau, Macao, Macao SAR, China
| | - Wan Zhao
- School of Psychology, Nanjing Normal University, Nanjing, China
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7
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Fogelson N, Diaz-Brage P. Altered directed connectivity during processing of predictive stimuli in psychiatric patient populations. Clin Neurophysiol 2021; 132:2739-2750. [PMID: 34571367 DOI: 10.1016/j.clinph.2021.07.025] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 07/06/2021] [Accepted: 07/20/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVES The study investigated the role of top-down versus bottom-up connectivity, during the processing of predictive information, in three different psychiatric disorders. METHODS Electroencephalography (EEG) was recorded during the performance of a task, which evaluates the ability to use predictive information in order to facilitate predictable versus random target detection. We evaluated EEG event-related directed connectivity, in patients with schizophrenia (SZ), major depressive disorder (MDD), and autism spectrum disorder (ASD), compared with healthy age-matched controls. Directed connectivity was evaluated using phase transfer entropy. RESULTS We showed that top-down frontal-parietal connectivity was weaker in SZ (theta and beta bands) and ASD (alpha band) compared to control subjects, during the processing of stimuli consisting of the predictive sequence. In SZ patients, top-down connectivity was also attenuated, during the processing of predictive targets in the beta frequency band. In contrast, compared with controls, MDD patients displayed an increased top-down flow of information, during the processing of predicted targets (alpha band). CONCLUSIONS The findings suggest that top-down frontal-parietal connectivity is altered differentially across three major psychiatric disorders, specifically during the processing of predictive stimuli. SIGNIFICANCE Altered top-down connectivity may contribute to the specific prediction deficits observed in each of the patient populations.
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Affiliation(s)
- Noa Fogelson
- EEG and Cognition Laboratory, Department of Humanities, University Rey Juan Carlos, Madrid, Spain.
| | - Pablo Diaz-Brage
- EEG and Cognition Laboratory, Department of Humanities, University Rey Juan Carlos, Madrid, Spain
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8
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Sklar AL, Coffman BA, Salisbury DF. Fronto-parietal network function during cued visual search in the first-episode schizophrenia spectrum. J Psychiatr Res 2021; 141:339-345. [PMID: 34304038 PMCID: PMC8364882 DOI: 10.1016/j.jpsychires.2021.07.014] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 06/15/2021] [Accepted: 07/12/2021] [Indexed: 11/18/2022]
Abstract
Cognitive impairments account for significant morbidity in schizophrenia and are present at disease onset. Controlled processes are particularly susceptible and may contribute to pervasive selective attention deficits. The present study assessed fronto-parietal attention network (FPAN) functioning during cue presentation on a visual search task in first-episode schizophrenia spectrum patients (FE) and its relation to symptom burden and community functioning. Brain activity was recorded with magnetoencephalography from 38 FE and 38 healthy controls (HC) during blocks of pop-out and serial search target detection. Activity during cue presentation was compared between groups across bilateral FPAN regions (frontal eye fields (FEF), inferior frontal gyrus (IFG), midcingulate cortex (MCC), and intraparietal sulcus (IPS)). FE exhibited greater right hemisphere IFG activity despite worse performance relative to HC. Performance and FPAN activity were not correlated in HC. Among FE, however, stronger activity within right hemisphere FEF and IFG was associated with faster responses. Stronger right IPS and left IFG activity in patients was also associated with reduced negative symptoms and improved community functioning, respectively. Increased reliance on the FPAN for task completion suggests an inefficient cognitive control network and might reflect a compensation for impaired attentional deployment during target detection, a strategy employed by those with less severe illness. These findings represent a critical step towards identifying the neural substrates of negative symptoms and impaired neurocognition at disease onset.
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Affiliation(s)
- Alfredo L Sklar
- Clinical Neurophysiology Research Laboratory, Western Psychiatric Hospital, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Western Psychiatric Hospital, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Brian A Coffman
- Clinical Neurophysiology Research Laboratory, Western Psychiatric Hospital, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Western Psychiatric Hospital, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Dean F Salisbury
- Clinical Neurophysiology Research Laboratory, Western Psychiatric Hospital, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Western Psychiatric Hospital, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
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9
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Kowalczyk OS, Pauls AM, Fusté M, Williams SCR, Hazelgrove K, Vecchio C, Seneviratne G, Pariante CM, Dazzan P, Mehta MA. Neurocognitive correlates of working memory and emotional processing in postpartum psychosis: an fMRI study. Psychol Med 2021; 51:1724-1732. [PMID: 32174288 DOI: 10.1017/s0033291720000471] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
BACKGROUND Postpartum psychosis (PP) is a severe postpartum disorder. While working memory and emotional processing-related brain function are consistently impaired in psychoses unrelated to the puerperium, no studies have investigated them in PP. METHODS Twenty-four women at risk of developing PP (11 developed an episode - PE; 13 remained well - NPE) and 20 healthy postpartum women completed two functional magnetic resonance imaging tasks within a year of delivery: working memory (n-back) and emotional face recognition (fearful faces). We compared women at-risk of PP to controls, as well as NPE, PE, and controls to test for potential effects of a PP episode occurrence. RESULTS Women at-risk of PP and PE showed hyperactivation of lateral visual areas, precuneus, and posterior cingulate during the n-back task. The at-risk group as a whole, as well as the PE and NPE groups, showed hyperconnectivity of the right dorsolateral prefrontal cortex (DLPFC) with various parieto-occipito-temporo-cerebellar regions compared to controls during several n-back conditions. Increases in connectivity between the right DLPFC and ipsilateral middle temporal gyrus were observed in the PE group compared to NPE during 2-back. During the fearful faces task, at-risk women as a group showed hyperactivation of fronto-cingulo-subcortical regions, and hypoconnectivity between the left amygdala and ipsilateral occipito-parietal regions compared to controls. No significant performance differences were observed. CONCLUSIONS These results present preliminary evidence of a differential nature of functional brain abnormalities in PP compared to the typically observed reduced connectivity with the DLPFC in psychoses unrelated to puerperium, such as bipolar disorder.
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Affiliation(s)
- Olivia S Kowalczyk
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Astrid M Pauls
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Montserrat Fusté
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- CIBERSAM, Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| | - Steven C R Williams
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, UK
| | - Katie Hazelgrove
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Section of Stress, Psychiatry and Immunology and Perinatal Psychiatry, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neurosciences, King's College London, London, UK
| | - Costanza Vecchio
- Section of Stress, Psychiatry and Immunology and Perinatal Psychiatry, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neurosciences, King's College London, London, UK
| | - Gertrude Seneviratne
- Section of Stress, Psychiatry and Immunology and Perinatal Psychiatry, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neurosciences, King's College London, London, UK
| | - Carmine M Pariante
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, UK
- Section of Stress, Psychiatry and Immunology and Perinatal Psychiatry, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neurosciences, King's College London, London, UK
| | - Paola Dazzan
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Mitul A Mehta
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
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10
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Soldevila-Matías P, Albajes-Eizagirre A, Radua J, García-Martí G, Rubio JM, Tordesillas-Gutierrez D, Fuentes-Durá I, Solanes A, Fortea L, Oliver D, Sanjuán J. Precuneus and insular hypoactivation during cognitive processing in first-episode psychosis: Systematic review and meta-analysis of fMRI studies. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2020; 15:S1888-9891(20)30100-2. [PMID: 32988773 DOI: 10.1016/j.rpsm.2020.08.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 08/02/2020] [Accepted: 08/09/2020] [Indexed: 01/16/2023]
Abstract
INTRODUCTION The neural correlates of the cognitive dysfunction in first-episode psychosis (FEP) are still unclear. The present review and meta-analysis provide an update of the location of the abnormalities in the fMRI-measured brain response to cognitive processes in individuals with FEP. METHODS Systematic review and voxel-based meta-analysis of cross-sectional fMRI studies comparing neural responses to cognitive tasks between individuals with FEP and healthy controls (HC) according to PRISMA guidelines. RESULTS Twenty-six studies were included, comprising 598 individuals with FEP and 567 HC. Individual studies reported statistically significant hypoactivation in the dorsolateral prefrontal cortex (6 studies), frontal lobe (8 studies), cingulate (6 studies) and insula (5 studies). The meta-analysis showed statistically significant hypoactivation in the left anterior insula, precuneus and bilateral striatum. CONCLUSIONS While the studies tend to highlight frontal hypoactivation during cognitive tasks in FEP, our meta-analytic results show that the left precuneus and insula primarily display aberrant activation in FEP that may be associated with salience attribution to external stimuli and related to deficits in perception and regulation.
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Affiliation(s)
- Pau Soldevila-Matías
- Research Institute of the Hospital Clínic Universitari of Valencia (INCLIVA), Valencia, Spain; Department of Basic Psychology, Faculty of Psychology, University of Valencia, Valencia, Spain
| | - Anton Albajes-Eizagirre
- Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; FIDMAG Germanes Hospitalàries, Sant Boi de Llobregat, Barcelona, Spain; Center for Networking Biomedical Research in Mental Health (CIBERSAM), Spain
| | - Joaquim Radua
- Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; FIDMAG Germanes Hospitalàries, Sant Boi de Llobregat, Barcelona, Spain; Center for Networking Biomedical Research in Mental Health (CIBERSAM), Spain; Centre for Psychiatric Research and Education, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
| | - Gracián García-Martí
- Center for Networking Biomedical Research in Mental Health (CIBERSAM), Spain; Biomedical Engineering Unit/Radiology Department, Quirónsalud Hospital, Spain
| | - José M Rubio
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New York, USA; The Feinstein Institute, Northwell Health Hospital, New York, USA
| | - Diana Tordesillas-Gutierrez
- Center for Networking Biomedical Research in Mental Health (CIBERSAM), Spain; University Hospital Marqués de Valdecilla (IDIVAL), Department of Psychiatry, School of Medicine, University of Cantabria, Spain; Neuroimaging Unit, Technological Facilities, Valdecilla Biomedical Research Institute IDIVAL, Santander, Cantabria, Spain
| | - Inmaculada Fuentes-Durá
- Center for Networking Biomedical Research in Mental Health (CIBERSAM), Spain; Department of Personality, Assessment and Psychological Treatment, Faculty of Psychology, University of Valencia, Valencia, Spain
| | - Aleix Solanes
- Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Center for Networking Biomedical Research in Mental Health (CIBERSAM), Spain
| | - Lydia Fortea
- Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Center for Networking Biomedical Research in Mental Health (CIBERSAM), Spain
| | - Dominic Oliver
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; OASIS Service, South London and the Maudsley NHS Foundation Trust, London, UK
| | - Julio Sanjuán
- Research Institute of the Hospital Clínic Universitari of Valencia (INCLIVA), Valencia, Spain; Center for Networking Biomedical Research in Mental Health (CIBERSAM), Spain; Department of Psychiatric, University of Valencia, School of Medicine, Valencia, Spain
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11
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Coffman BA, Haas G, Olson C, Cho R, Ghuman AS, Salisbury DF. Reduced Dorsal Visual Oscillatory Activity During Working Memory Maintenance in the First-Episode Schizophrenia Spectrum. Front Psychiatry 2020; 11:743. [PMID: 32848922 PMCID: PMC7417606 DOI: 10.3389/fpsyt.2020.00743] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Accepted: 07/16/2020] [Indexed: 11/17/2022] Open
Abstract
Cognitive deficits in people with schizophrenia are among the hardest to treat and strongly predict functional outcome. The ability to maintain sensory precepts in memory over a short delay is impacted early in the progression of schizophrenia and has been linked to reliable neurophysiological markers. Yet, little is known about the mechanisms of these deficits. Here, we investigated possible neurophysiological mechanisms of impaired visual short-term memory (vSTM, aka working memory maintenance) in the first-episode schizophrenia spectrum (FESz) using magnetoencephalography (MEG). Twenty-eight FESz and 25 matched controls performed a lateralized change detection task where they were cued to selectively attend and remember colors of circles presented in either the left or right peripheral visual field over a 1 s delay. Contralateral alpha suppression (CAS) during the delay period was used to assess selective attention to cued visual hemifields held in vSTM. Delay-period CAS was compared between FESz and controls and between trials presenting one vs three items per visual hemifield. CAS in dorsal visual cortex was reduced in FESz compared to controls in high-load trials, but not low-load trials. Group differences in CAS were found beginning 100 ms after the disappearance of the memory set, suggesting deficits were not due to the initial deployment of attention to the cued visual hemifield prior to stimulus presentation. CAS was not greater for high-load vs low-load trials in FESz subjects, although this effect was prominent in controls. Further, lateralized gamma (34-40 Hz) power emerged in dorsal visual cortex prior to the onset of CAS in controls but not FESz. Gamma power in this cluster differed between groups at both high and low load. CAS deficits observed in FESz were correlated with change detection accuracy, working memory function, estimated IQ, and negative symptoms. Our results implicate deficits in CAS in trials requiring broad, but not narrow, focus of attention to spatially distributed objects maintained in vSTM in FESz, possibly due to reduced ability to broadly distribute visuospatial attention (alpha) or disruption of object-location binding (gamma) during encoding/consolidation. This early pathophysiology may shed light upon mechanisms of emerging working memory deficits that are intrinsic to schizophrenia.
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Affiliation(s)
- Brian A. Coffman
- Clinical Neurophysiology Research Laboratory, Western Psychiatric Hospital of UPMC, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Gretchen Haas
- Western Psychiatric Hospital of UPMC, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Carl Olson
- Center for Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, PA, United States
| | - Raymond Cho
- Western Psychiatric Hospital of UPMC, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States
| | - Avniel Singh Ghuman
- Laboratory of Cognitive Neurodynamics, Department of Neurosurgery, Presbyterian Hospital, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Dean F. Salisbury
- Clinical Neurophysiology Research Laboratory, Western Psychiatric Hospital of UPMC, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
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12
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Rolf R, Sokolov AN, Rattay TW, Fallgatter AJ, Pavlova MA. Face pareidolia in schizophrenia. Schizophr Res 2020; 218:138-145. [PMID: 32057538 DOI: 10.1016/j.schres.2020.01.019] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 01/17/2020] [Accepted: 01/19/2020] [Indexed: 12/14/2022]
Abstract
BACKGROUND Faces convey valuable daily life social signals. As in most psychiatric conditions, non-verbal social cognition or its components including face processing may be aberrant in schizophrenia (SZ). Social participation of individuals with SZ is vital for their quality of life, and remediation of social abilities in this population is of high relevance both for society and clinical care. METHOD Tuning to faces in non-face images such as shadows, grilled toasts, or ink blots is called face pareidolia. Humans possess high sensitivity to facial signals: even fetuses and infants are well tuned to coarse face cues. Here we assessed face tuning in individuals with SZ and person-by-person matched controls by using a new experimental tool, a set of food-plate images bordering on the Giuseppe Arcimboldo style. The key benefit of these images is that single components do not trigger face processing. RESULTS AND CONCLUSIONS The outcome indicates that individuals with SZ exhibit aberrant face tuning in face-like non-face images (χ2(1) = 17.44, p = 0.0001) that can hamper adaptive interaction with peers and social participation hindering, in turn, clinical remediation. Face response rate in SZ patients was related to the scores on the event arrangement task tapping social cognition (Pearson product-moment correlation, r = 0.602, p = 0.01) and on picture completion task assessing visual perceptual organization (Spearman's rho = 0.614, p = 0.009). Therefore, poor performance on the face tuning task is unlikely to be accounted for by deviant general cognitive abilities, but rather by impairments in perceptual integration and social cognition. Comparison of these findings with data in autism and other neuropsychiatric conditions provides novel insights on the origins of face tuning in SZ and triggers brain imaging research.
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Affiliation(s)
- Rebecca Rolf
- Department of Psychiatry and Psychotherapy, Medical School and University Hospital, Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Alexander N Sokolov
- Department of Psychiatry and Psychotherapy, Medical School and University Hospital, Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Tim W Rattay
- Department of Psychiatry and Psychotherapy, Medical School and University Hospital, Eberhard Karls University of Tübingen, Tübingen, Germany; Department of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research, and Center for Neurology, Medical School and University Hospital, Eberhard Karls University of Tübingen, Tübingen, Germany; German Center of Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Andreas J Fallgatter
- Department of Psychiatry and Psychotherapy, Medical School and University Hospital, Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Marina A Pavlova
- Department of Psychiatry and Psychotherapy, Medical School and University Hospital, Eberhard Karls University of Tübingen, Tübingen, Germany.
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13
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Johnsen LK, Ver Loren van Themaat AH, Larsen KM, Burton BK, Baaré WFC, Madsen KS, Nordentoft M, Siebner HR, Plessen KJ. Alterations in Task-Related Brain Activation in Children, Adolescents and Young Adults at Familial High-Risk for Schizophrenia or Bipolar Disorder - A Systematic Review. Front Psychiatry 2020; 11:632. [PMID: 32754058 PMCID: PMC7365908 DOI: 10.3389/fpsyt.2020.00632] [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: 02/24/2020] [Accepted: 06/17/2020] [Indexed: 12/31/2022] Open
Abstract
Children, adolescents, and young adults with at least one first-degree relative [familial high-risk (FHR)] with either schizophrenia (SZ) or bipolar disorder (BD) have a one-in-two risk of developing a psychiatric disorder. Here, we review functional magnetic resonance imaging (fMRI) studies which examined task-related brain activity in young individuals with FHR-SZ and FHR-BD. A systematic search identified all published task-related fMRI studies in children, adolescents, and young adults below an age of 27 years with a first-degree relative with SZ or BD, but without manifest psychotic or affective spectrum disorder themselves. The search identified 19 cross-sectional fMRI studies covering four main cognitive domains: 1) working memory (n = 3), 2) cognitive control (n = 4), 3) reward processing (n = 3), and 4) emotion processing (n = 9). Thirteen studies included FHR-BD, five studies included FHR-SZ, and one study included a pooled FHR group. In general, task performance did not differ between the respective FHR groups and healthy controls, but 18 out of the 19 fMRI studies revealed regional alterations in task-related activation. Brain regions showing group differences in peak activation were regions associated with the respective task domain and showed little overlap between FHR-SZ and FHR-BD. The low number of studies, together with the low number of subjects, and the substantial heterogeneity of employed methodological approaches within the domain of working memory, cognitive control, and reward processing impedes finite conclusions. Emotion processing was the most investigated task domain in FHR-BD. Four studies reported differences in activation of the amygdala, and two studies reported differences in activation of inferior frontal/middle gyrus. Together, these studies provide evidence for altered brain processing of emotions in children, adolescents, and young adults at FHR-BD. More studies of higher homogeneity, larger sample sizes and with a longitudinal study design are warranted to prove a shared or specific FHR-related endophenotypic brain activation in young first-degree relatives of individuals with SZ or BD, as well as to pinpoint specific alterations in brain activation during cognitive-, emotional-, and reward-related tasks.
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Affiliation(s)
- Line Korsgaard Johnsen
- Child and Adolescent Mental Health Centre, Copenhagen University Hospital, Mental Health Services, Capital Region Psychiatry, Copenhagen, Denmark.,Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Copenhagen, Denmark.,Faculty of Health and Medical Sciences, Institute for Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Anna Hester Ver Loren van Themaat
- Child and Adolescent Mental Health Centre, Copenhagen University Hospital, Mental Health Services, Capital Region Psychiatry, Copenhagen, Denmark.,Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Copenhagen, Denmark.,Faculty of Health and Medical Sciences, Institute for Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Kit Melissa Larsen
- Child and Adolescent Mental Health Centre, Copenhagen University Hospital, Mental Health Services, Capital Region Psychiatry, Copenhagen, Denmark.,Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Copenhagen, Denmark
| | - Birgitte Klee Burton
- Child and Adolescent Mental Health Centre, Copenhagen University Hospital, Mental Health Services, Capital Region Psychiatry, Copenhagen, Denmark
| | - William Frans Christiaan Baaré
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Copenhagen, Denmark
| | - Kathrine Skak Madsen
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Copenhagen, Denmark.,Radiography, Department of Technology, University College Copenhagen, Copenhagen, Denmark
| | - Merete Nordentoft
- Faculty of Health and Medical Sciences, Institute for Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.,Mental Health Centre, Research Unit, Copenhagen University Hospital, Mental Health Services, Capital Region Psychiatry, Copenhagen, Denmark.,The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus University, Aarhus, Denmark
| | - Hartwig Roman Siebner
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Copenhagen, Denmark.,Faculty of Health and Medical Sciences, Institute for Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.,Department of Neurology, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark
| | - Kerstin Jessica Plessen
- Child and Adolescent Mental Health Centre, Copenhagen University Hospital, Mental Health Services, Capital Region Psychiatry, Copenhagen, Denmark.,The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus University, Aarhus, Denmark.,Division of Child and Adolescent Psychiatry, Department of Psychiatry, The University Hospital of Lausanne (CHUV), Lausanne, Switzerland
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14
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Fan FM, Xiang H, Wen Y, Zhao YL, Zhu XL, Wang YH, Yang FD, Tan YL, Tan SP. Brain Abnormalities in Different Phases of Working Memory in Schizophrenia: An Integrative Multi-Modal MRI Study. J Nerv Ment Dis 2019; 207:760-767. [PMID: 31465311 DOI: 10.1097/nmd.0000000000001001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
The current study aimed to examine both gray matter and functional activity changes in schizophrenia by combing both structural and task-related functional magnetic resonance imaging (fMRI). Nineteen patients with schizophrenia and 17 controls were recruited. The fMRI scan was performed while performing a working memory (WM) task. In terms of task performance, accuracy did not differ between groups, but there were significant differences in reaction time. Compared with controls, patients exhibited decreased functional activation in prefrontal areas, insula, lingual gyrus, and superior temporal gyrus during different phases of WM. The subcallosal cortex showed increased activation. Intriguingly, a structural-functional correlation was found in the left dorsolateral prefrontal cortex, anterior cingulate cortex, and subcallosal cortex in patients when performing high-load WM task. This study demonstrated both impaired gray matter volume and functional activation during WM in schizophrenia, suggesting structural and functional impairments. The structural-functional correlation in schizophrenia suggested that structural damage in schizophrenia might induce a decreased ability to modulate functional response in accordance with increasing task difficulty.
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Affiliation(s)
- Feng-Mei Fan
- Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing
| | - Hong Xiang
- Chongqing Three Gorges Central Hospital, Chongqing, China
| | - Yun Wen
- Chongqing Three Gorges Central Hospital, Chongqing, China
| | - Yan-Li Zhao
- Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing
| | - Xiao-Lin Zhu
- Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing
| | - Yun-Hui Wang
- Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing
| | - Fu-De Yang
- Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing
| | - Yun-Long Tan
- Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing
| | - Shu-Ping Tan
- Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing
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15
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Shafritz KM, Ikuta T, Greene A, Robinson DG, Gallego J, Lencz T, DeRosse P, Kingsley PB, Szeszko PR. Frontal lobe functioning during a simple response conflict task in first-episode psychosis and its relationship to treatment response. Brain Imaging Behav 2019; 13:541-553. [PMID: 29744804 DOI: 10.1007/s11682-018-9876-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Prior functional magnetic resonance imaging (fMRI) studies have investigated the neural mechanisms underlying cognitive control in patients with psychosis with findings of both hypo- and hyperfrontality. One factor that may contribute to inconsistent findings is the use of complex and polyfactorial tasks to investigate frontal lobe functioning. In the current study we employed a simple response conflict task during fMRI to examine differences in brain activation between patients experiencing their first-episode of psychosis (n = 33) and age- and sex-matched healthy volunteers (n = 33). We further investigated whether baseline brain activation among patients predicted changes in symptom severity and treatment response following 12 weeks of controlled antipsychotic treatment. During the task subjects were instructed to press a response button on the same side or opposite side of a circle that appeared on either side of a central fixation point. Imaging data revealed that for the contrast of opposite-side vs. same-side, patients showed significantly greater activation compared with healthy volunteers in the anterior cingulate cortex and intraparietal sulcus. Among patients, greater baseline anterior cingulate cortex, temporal-parietal junction, and superior temporal cortex activation predicted greater symptom reduction and therapeutic response following treatment. All findings remained significant after covarying for task performance. Intact performance on this relatively parsimonious task was associated with frontal hyperactivity suggesting the need for patients to utilize greater neural resources to achieve task performance comparable to healthy individuals. Moreover, frontal hyperactivity observed using a simple fMRI task may provide a biomarker for predicting treatment response in first-episode psychosis.
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Affiliation(s)
- Keith M Shafritz
- Department of Psychology, Hofstra University, Hempstead, NY, USA. .,Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, Manhasset, NY, USA.
| | - Toshikazu Ikuta
- Department of Communication Sciences and Disorders, School of Applied Sciences, University of Mississippi, Oxford, MS, USA
| | - Allison Greene
- Department of Psychology, Hofstra University, Hempstead, NY, USA
| | - Delbert G Robinson
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, Manhasset, NY, USA.,Division of Psychiatry Research, Northwell Health System, Zucker Hillside Hospital, Glen Oaks, NY, USA.,Departments of Psychiatry and Molecular Medicine, Hofstra Northwell School of Medicine, Hempstead, NY, USA
| | - Juan Gallego
- Weill Cornell Medical College, New York, NY, USA.,New York-Presbyterian Hospital/Westchester Division, White Plains, NY, USA
| | - Todd Lencz
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, Manhasset, NY, USA.,Division of Psychiatry Research, Northwell Health System, Zucker Hillside Hospital, Glen Oaks, NY, USA.,Departments of Psychiatry and Molecular Medicine, Hofstra Northwell School of Medicine, Hempstead, NY, USA
| | - Pamela DeRosse
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, Manhasset, NY, USA.,Division of Psychiatry Research, Northwell Health System, Zucker Hillside Hospital, Glen Oaks, NY, USA.,Departments of Psychiatry and Molecular Medicine, Hofstra Northwell School of Medicine, Hempstead, NY, USA
| | - Peter B Kingsley
- Department of Radiology, North Shore University Hospital, Manhasset, NY, USA
| | - Philip R Szeszko
- James J. Peters VA Medical Center, Mental Illness Research Education Clinical Center, Bronx, NY, USA.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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16
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Huang AS, Rogers BP, Woodward ND. Disrupted modulation of thalamus activation and thalamocortical connectivity during dual task performance in schizophrenia. Schizophr Res 2019; 210:270-277. [PMID: 30630706 PMCID: PMC6612476 DOI: 10.1016/j.schres.2018.12.022] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Revised: 12/07/2018] [Accepted: 12/16/2018] [Indexed: 01/12/2023]
Abstract
Despite considerable evidence showing thalamus anatomy and connectivity abnormalities in schizophrenia, how these abnormalities are reflected in thalamus function during cognition is relatively understudied. Modulation of thalamic connectivity with the prefrontal cortex (PFC) is required for higher-order cognitive processes, which are often impaired in schizophrenia. To address this gap, we investigated how thalamus function and thalamus-PFC connectivity under different levels of cognitive demand may be disrupted in schizophrenia. Participants underwent fMRI scanning while performing an event-related two-alternative forced choice task under Single and Dual task conditions. In the Single task condition, participants responded either to a visual cue with a well-learned motor response, or an audio cue with a well-learned vocal response. In the Dual task condition, participants performed both tasks. Thalamic connectivity with task relevant regions of the PFC for each condition was measured using beta-series correlation. Individuals with schizophrenia demonstrated less modulation of both mediodorsal thalamus activation and thalamus-PFC connectivity with increased cognitive demand. In contrast, their ability to modulate PFC function during task performance was maintained. These results suggest that the pathophysiology of cognitive impairment in schizophrenia is associated with thalamus-PFC circuitry and suggests that the thalamus, along with the PFC, should be a focus of investigation.
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Affiliation(s)
- Anna S. Huang
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center
| | | | - Neil D. Woodward
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center
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17
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Karrer TM, Bassett DS, Derntl B, Gruber O, Aleman A, Jardri R, Laird AR, Fox PT, Eickhoff SB, Grisel O, Varoquaux G, Thirion B, Bzdok D. Brain-based ranking of cognitive domains to predict schizophrenia. Hum Brain Mapp 2019; 40:4487-4507. [PMID: 31313451 DOI: 10.1002/hbm.24716] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Revised: 06/10/2019] [Accepted: 06/26/2019] [Indexed: 12/22/2022] Open
Abstract
Schizophrenia is a devastating brain disorder that disturbs sensory perception, motor action, and abstract thought. Its clinical phenotype implies dysfunction of various mental domains, which has motivated a series of theories regarding the underlying pathophysiology. Aiming at a predictive benchmark of a catalog of cognitive functions, we developed a data-driven machine-learning strategy and provide a proof of principle in a multisite clinical dataset (n = 324). Existing neuroscientific knowledge on diverse cognitive domains was first condensed into neurotopographical maps. We then examined how the ensuing meta-analytic cognitive priors can distinguish patients and controls using brain morphology and intrinsic functional connectivity. Some affected cognitive domains supported well-studied directions of research on auditory evaluation and social cognition. However, rarely suspected cognitive domains also emerged as disease relevant, including self-oriented processing of bodily sensations in gustation and pain. Such algorithmic charting of the cognitive landscape can be used to make targeted recommendations for future mental health research.
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Affiliation(s)
- Teresa M Karrer
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen, Aachen, Germany
| | - Danielle S Bassett
- Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania.,Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, Pennsylvania.,Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.,Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Birgit Derntl
- Translational Brain Medicine, Jülich Aachen Research Alliance (JARA), Aachen, Germany.,Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Oliver Gruber
- Department of Psychiatry, University of Heidelberg, Heidelberg, Germany
| | - André Aleman
- BCN Neuroimaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Renaud Jardri
- Division of Psychiatry, University of Lille, CNRS UMR 9193, SCALab and CHU Lille, Fontan Hospital, Lille, France
| | - Angela R Laird
- Department of Physics, Florida International University, Miami, Florida
| | - Peter T Fox
- Research Imaging Institute, University of Texas Health Science Center, San Antonio, Texas.,South Texas Veterans Health Care System, San Antonio, Texas.,State Key Laboratory for Brain and Cognitive Sciences, University of Hong Kong, Hong Kong, China
| | - Simon B Eickhoff
- Institute of Systems Neuroscience, Heinrich-Heine University, Düsseldorf, Germany.,Institute of Neuroscience and Medicine (INM-7), Research Centre Jülich, Jülich, Germany
| | - Olivier Grisel
- Parietal Team, INRIA Saclay/NeuroSpin, Palaiseau, France
| | - Gaël Varoquaux
- Parietal Team, INRIA Saclay/NeuroSpin, Palaiseau, France
| | | | - Danilo Bzdok
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen, Aachen, Germany.,Translational Brain Medicine, Jülich Aachen Research Alliance (JARA), Aachen, Germany.,Parietal Team, INRIA Saclay/NeuroSpin, Palaiseau, France
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18
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Chari S, Minzenberg MJ, Solomon M, Ragland JD, Nguyen Q, Carter CS, Yoon JH. Impaired prefrontal functional connectivity associated with working memory task performance and disorganization despite intact activations in schizophrenia. Psychiatry Res Neuroimaging 2019; 287:10-18. [PMID: 30933745 PMCID: PMC6482053 DOI: 10.1016/j.pscychresns.2019.01.013] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2018] [Revised: 01/16/2019] [Accepted: 01/17/2019] [Indexed: 11/21/2022]
Abstract
Working memory (WM) deficits are key features of schizophrenia and are associated with significant functional impairment. The precise mechanisms of WM and their relationship between WM deficits with other clinical symptoms of schizophrenia remain unclear. Contemporary models propose that WM requires synchronous activity across brain regions within a distributed network, including lateral prefrontal cortex (PFC) and task-relevant posterior sensory cortical regions. This suggests that WM deficits in patients may be due to PFC functional connectivity (FC) impairments rather than activation impairments per se. We tested this hypothesis by measuring the magnitude of FC between lateral PFC and visual cortex and univariate activations within these regions during visual WM. We found decreased FC in patients compared to healthy subjects in the context of similar levels of univariate activity. Furthermore, this decreased FC was associated with task performance and clinical symptomatology in patients. The magnitude of FC, particularly during the delay period, was positively correlated with WM task accuracy, while FC during cue was inversely correlated with severity of disorganization. Taken together, these results suggest that impairment in lateral PFC FC is a key aspect of information processing impairment in patients with schizophrenia, and may be a sensitive index of altered neurophysiology.
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Affiliation(s)
- Sripriya Chari
- Palo Alto VA Healthcare System, 3801 Miranda Avenue, Palo Alto, CA 94304, USA.
| | - Michael J Minzenberg
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, 760 Westwood Plaza, Los Angeles, CA 90024, USA
| | - Marjorie Solomon
- University of California, Davis, 4701 X St, Sacramento, CA 95817, USA
| | - J Daniel Ragland
- University of California, Davis, 4701 X St, Sacramento, CA 95817, USA
| | - Quynh Nguyen
- Stanford University, 401 Quarry Road, Palo Alto, CA 94301, USA
| | - Cameron S Carter
- University of California, Davis, 4701 X St, Sacramento, CA 95817, USA
| | - Jong H Yoon
- Palo Alto VA Healthcare System, 3801 Miranda Avenue, Palo Alto, CA 94304, USA; Stanford University, 401 Quarry Road, Palo Alto, CA 94301, USA.
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19
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Sorella S, Lapomarda G, Messina I, Frederickson JJ, Siugzdaite R, Job R, Grecucci A. Testing the expanded continuum hypothesis of schizophrenia and bipolar disorder. Neural and psychological evidence for shared and distinct mechanisms. NEUROIMAGE-CLINICAL 2019; 23:101854. [PMID: 31121524 PMCID: PMC6529770 DOI: 10.1016/j.nicl.2019.101854] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Revised: 04/24/2019] [Accepted: 05/02/2019] [Indexed: 12/21/2022]
Affiliation(s)
- Sara Sorella
- Department of Psychology and Cognitive Science (DiPSCo), University of Trento, Rovereto, Italy.
| | - Gaia Lapomarda
- Department of Psychology and Cognitive Science (DiPSCo), University of Trento, Rovereto, Italy.
| | | | | | - Roma Siugzdaite
- Department of Experimental Psychology, Faculty of Psychological and Pedagogical Sciences, Ghent University, Ghent, Belgium.
| | - Remo Job
- Department of Psychology and Cognitive Science (DiPSCo), University of Trento, Rovereto, Italy.
| | - Alessandro Grecucci
- Department of Psychology and Cognitive Science (DiPSCo), University of Trento, Rovereto, Italy.
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Larsen KM, Dzafic I, Siebner HR, Garrido MI. Alteration of functional brain architecture in 22q11.2 deletion syndrome – Insights into susceptibility for psychosis. Neuroimage 2019; 190:154-171. [DOI: 10.1016/j.neuroimage.2018.09.001] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Revised: 08/30/2018] [Accepted: 09/02/2018] [Indexed: 12/23/2022] Open
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Wu D, Jiang T. Schizophrenia-related abnormalities in the triple network: a meta-analysis of working memory studies. Brain Imaging Behav 2019; 14:971-980. [PMID: 30820860 DOI: 10.1007/s11682-019-00071-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Previous meta-analyses found abnormal brain activations in schizophrenia patients compared with normal controls when performing working memory tasks. Although most studies focused on dysfunction of the working memory activation network in schizophrenia patients, deactivation abnormalities of the working memory in the default mode network have also been reported in schizophrenia but have received less attention. Our goal was to discover whether deactivation abnormalities can also be consistently found in schizophrenia during working memory tasks and, further, to consider both activation and deactivation abnormalities. Fifty-two English language peer-reviewed studies were included in this meta-analysis. Compared with normal controls, the schizophrenia patients showed activation dysfunction of the bilateral dorsolateral prefrontal cortex and posterior parietal cortex as well as the anterior insula, anterior cingulate cortex, and supplementary motor area, which are core nodes of the central executive and salience network. In addition to dysfunction of the activation networks, the patients showed deactivation abnormalities in the ventral medial prefrontal cortex and posterior cingulate cortex, which are core nodes of the default mode network. These results suggest that both activation and deactivation abnormalities exist in schizophrenia patients and that these abnormalities should both be considered when investigating the pathophysiological mechanism of schizophrenia.
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Affiliation(s)
- Dongya Wu
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Hai Dian District, Zhong Guan Cun East Road 95, Beijing, 100190, China.,National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Tianzi Jiang
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Hai Dian District, Zhong Guan Cun East Road 95, Beijing, 100190, China. .,National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. .,University of Chinese Academy of Sciences, Beijing, China. .,CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. .,The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, 625014, China. .,The Queensland Brain Institute, University of Queensland, Brisbane, QLD, 4072, Australia.
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22
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Gilmour G, Porcelli S, Bertaina-Anglade V, Arce E, Dukart J, Hayen A, Lobo A, Lopez-Anton R, Merlo Pich E, Pemberton DJ, Havenith MN, Glennon JC, Harel BT, Dawson G, Marston H, Kozak R, Serretti A. Relating constructs of attention and working memory to social withdrawal in Alzheimer’s disease and schizophrenia: issues regarding paradigm selection. Neurosci Biobehav Rev 2019; 97:47-69. [DOI: 10.1016/j.neubiorev.2018.09.025] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2017] [Revised: 08/29/2018] [Accepted: 09/27/2018] [Indexed: 12/12/2022]
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Salgado-Pineda P, Radua J, Sarró S, Guerrero-Pedraza A, Salvador R, Pomarol-Clotet E, McKenna PJ. Sensitivity and specificity of hypoactivations and failure of de-activation in schizophrenia. Schizophr Res 2018; 201:224-230. [PMID: 29954704 DOI: 10.1016/j.schres.2018.06.013] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2017] [Revised: 03/19/2018] [Accepted: 06/08/2018] [Indexed: 10/28/2022]
Abstract
BACKGROUND Brain functional changes reported in schizophrenia include reduced prefrontal cortex activation (hypofrontality), increased frontal activation (hyperfrontality) and failure of de-activation in the medial frontal cortex. The relative importance of these changes is unestablished. METHODS A 'discovery' sample of 32 schizophrenic patients and 32 controls was used to establish regions of altered activation and de-activation in the patients. The discriminatory power of these regions was examined using receiver-operator characteristics (ROC) analysis in two 'test' samples, one of 83 patients with chronic schizophrenia and 83 healthy controls, and the other of 31 first-episode patients and 31 healthy controls. RESULTS The discovery sample revealed reduced activation in the prefrontal cortex and other regions, and failure of de-activation in the medial frontal cortex. Failure of de-activation had significantly greater power to distinguish the chronic patients from the healthy controls than hypoactivation. The pattern was similar in the first-episode patients, where additionally the discriminatory power of hypoactivation was poor. Controlling for the effects of n-back task performance tended to reduce discriminatory power overall, but this persisted for failure of de-activation in the chronic test sample. CONCLUSIONS Both hypoactivation and failure of de-activation can distinguish patients with chronic schizophrenia from healthy subjects, but the latter abnormality has more power. Failure of de-activation cannot be construed simply as a passive consequence of reduced prefrontal activation in the disorder.
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Affiliation(s)
- Pilar Salgado-Pineda
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain.
| | - Joaquim Radua
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - Salvador Sarró
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | | | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - Edith Pomarol-Clotet
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain.
| | - Peter J McKenna
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
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24
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Kupferschmidt DA, Gordon JA. The dynamics of disordered dialogue: Prefrontal, hippocampal and thalamic miscommunication underlying working memory deficits in schizophrenia. Brain Neurosci Adv 2018; 2. [PMID: 31058245 PMCID: PMC6497416 DOI: 10.1177/2398212818771821] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
The prefrontal cortex is central to the orchestrated brain network communication that gives rise to working memory and other cognitive functions. Accordingly, working memory deficits in schizophrenia are increasingly thought to derive from prefrontal cortex dysfunction coupled with broader network disconnectivity. How the prefrontal cortex dynamically communicates with its distal network partners to support working memory and how this communication is disrupted in individuals with schizophrenia remain unclear. Here we review recent evidence that prefrontal cortex communication with the hippocampus and thalamus is essential for normal spatial working memory, and that miscommunication between these structures underlies spatial working memory deficits in schizophrenia. We focus on studies using normal rodents and rodent models designed to probe schizophrenia-related pathology to assess the dynamics of neural interaction between these brain regions. We also highlight recent preclinical work parsing roles for long-range prefrontal cortex connections with the hippocampus and thalamus in normal and disordered spatial working memory. Finally, we discuss how emerging rodent endophenotypes of hippocampal- and thalamo-prefrontal cortex dynamics in spatial working memory could translate into richer understanding of the neural bases of cognitive function and dysfunction in humans.
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Affiliation(s)
- David A Kupferschmidt
- Integrative Neuroscience Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Joshua A Gordon
- Integrative Neuroscience Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA.,National Institute of Mental Health, Bethesda, MD, USA
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25
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Loeb FF, Zhou X, Craddock KES, Shora L, Broadnax DD, Gochman P, Clasen LS, Lalonde FM, Berman RA, Berman KF, Rapoport JL, Liu S. Reduced Functional Brain Activation and Connectivity During a Working Memory Task in Childhood-Onset Schizophrenia. J Am Acad Child Adolesc Psychiatry 2018; 57:166-174. [PMID: 29496125 PMCID: PMC5836498 DOI: 10.1016/j.jaac.2017.12.009] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2017] [Revised: 12/05/2017] [Accepted: 12/22/2017] [Indexed: 11/20/2022]
Abstract
OBJECTIVE Working memory (WM) deficits are consistently reported in schizophrenia and are related to poor functional outcomes. Functional magnetic resonance imaging studies of adult-onset schizophrenia have reported decreased functional activations and connectivity in the WM network, but no prior functional magnetic resonance imaging study has examined WM in childhood-onset schizophrenia (COS). The aim of this study was to examine the neural correlates of WM in COS. METHOD Adult patients with COS (n = 32, 21.3 ± 1.1 years), nonpsychotic siblings of patients with COS (n = 30, 19.4 ± 0.8 years), and healthy controls (n = 39, 20.0 ± 0.7 years) completed 1- and 2-back WM tasks during 3-T functional magnetic resonance imaging. Functional activation and connectivity analyses were conducted. A separate group of 23 younger patients with COS (17.9 ± 7.4 years) could not perform the tasks after twice completing a standard training and are not included in this report. RESULTS Patients with COS who were included scored significantly lower than controls on all tasks (p < .001). Patients with COS showed significantly lower activations in the dorsolateral prefrontal cortices, posterior parietal cortices, cerebellum, and caudate and decreased frontoparietal and corticostriatal functional connectivity compared with controls (p < .05, corrected). Siblings had functional activations and connectivity intermediate between those of patients and controls in a similar set of regions (p < .05, corrected). In patients, functional connectivity strength in the left frontoparietal network correlated positively with accuracy scores during the 1-back task (p = .0023, corrected). CONCLUSION Decreased functional activation and connectivity in the WM network in COS supports pathophysiologic continuity with adult-onset schizophrenia. The low participation rate and accuracy of the patients highlights the disease severity of COS. Hypo-activations and hypo-connectivity were shared by siblings of patients with COS, suggesting COS as a potential endophenotype. CLINICAL TRIAL REGISTRATION INFORMATION Evaluating Genetic Risk Factors for Childhood-Onset Schizophrenia; http://ClinicalTrials.gov;NCT00001198.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Karen F Berman
- Clinical Translational Neuroscience Branch, at the National Institute of Mental Health, National Institutes of Health (NIH), Bethesda, MD
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26
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Frazier JA. Adults With Childhood-Onset Schizophrenia and Their Siblings: Do Age of Onset and Familiality Affect Performance on and the Neural Signature of Working Memory Tasks? J Am Acad Child Adolesc Psychiatry 2018; 57:143-145. [PMID: 29496120 DOI: 10.1016/j.jaac.2018.01.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2018] [Accepted: 01/23/2018] [Indexed: 10/17/2022]
Affiliation(s)
- Jean A Frazier
- University of Massachusetts Medical School / University of Massachusetts Memorial Health Care, Worcester, MA.
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27
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Mwansisya TE, Hu A, Li Y, Chen X, Wu G, Huang X, Lv D, Li Z, Liu C, Xue Z, Feng J, Liu Z. Task and resting-state fMRI studies in first-episode schizophrenia: A systematic review. Schizophr Res 2017; 189:9-18. [PMID: 28268041 DOI: 10.1016/j.schres.2017.02.026] [Citation(s) in RCA: 87] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2015] [Revised: 02/16/2017] [Accepted: 02/26/2017] [Indexed: 11/26/2022]
Abstract
In the last two decades there has been an increase on task and resting-state functional Magnetic Resonance Imaging (fMRI) studies that explore the brain's functional changes in schizophrenia. However, it remains unclear as to whether the brain's functional changes during the resting state are sensitive to the same brain regions during task fMRI. Therefore, we conducted a systematic literature search of task and resting-state fMRI studies that investigated brain pathological changes in first-episode schizophrenia (Fleischhacker et al.). Nineteen studies met the inclusion criteria; seven were resting state fMRI studies with 371 FES patients and 363 healthy controls and twelve were task fMRI studies with 235 FES patients and 291 healthy controls. We found overlapping task and resting-state fMRI abnormalities in the prefrontal regions, including the dorsal lateral prefrontal cortex, the orbital frontal cortex and the temporal lobe, especially in the left superior temporal gyrus (STG). The findings of this systematic review support the frontotemporal hypothesis of schizophrenia, and the disruption in prefrontal and STG might represent the pathophysiology of schizophrenia disorder at a relatively early stage.
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Affiliation(s)
- Tumbwene E Mwansisya
- Mental Health Institute of the Second Xiangya Hospital, Key Laboratory of Psychiatry and Mental Health of Hunan Province, Central South University, Changsha, Hunan 410011, China; The Aga Khan University of East Africa, PO Box 125, Dar es Salaam, Tanzania
| | - Aimin Hu
- Mental Health Institute of the Second Xiangya Hospital, Key Laboratory of Psychiatry and Mental Health of Hunan Province, Central South University, Changsha, Hunan 410011, China
| | - Yihui Li
- Department of psychology, Gannan Medical University, Ganzhou, Jiangxi 341000, China
| | - Xudong Chen
- Mental Health Institute of the Second Xiangya Hospital, Key Laboratory of Psychiatry and Mental Health of Hunan Province, Central South University, Changsha, Hunan 410011, China
| | - Guowei Wu
- Mental Health Institute of the Second Xiangya Hospital, Key Laboratory of Psychiatry and Mental Health of Hunan Province, Central South University, Changsha, Hunan 410011, China
| | - Xiaojun Huang
- Mental Health Institute of the Second Xiangya Hospital, Key Laboratory of Psychiatry and Mental Health of Hunan Province, Central South University, Changsha, Hunan 410011, China
| | - Dongsheng Lv
- Mental Health Institute of the Second Xiangya Hospital, Key Laboratory of Psychiatry and Mental Health of Hunan Province, Central South University, Changsha, Hunan 410011, China
| | - Zhou Li
- Mental Health Institute of the Second Xiangya Hospital, Key Laboratory of Psychiatry and Mental Health of Hunan Province, Central South University, Changsha, Hunan 410011, China
| | - Chang Liu
- Mental Health Institute of the Second Xiangya Hospital, Key Laboratory of Psychiatry and Mental Health of Hunan Province, Central South University, Changsha, Hunan 410011, China
| | - Zhimin Xue
- Mental Health Institute of the Second Xiangya Hospital, Key Laboratory of Psychiatry and Mental Health of Hunan Province, Central South University, Changsha, Hunan 410011, China
| | - Jianfeng Feng
- Department of Computer Science, University of Warwick, Coventry, United Kingdom; Centre for Computational Systems Biology, Fudan University, Shanghai, China
| | - Zhening Liu
- Mental Health Institute of the Second Xiangya Hospital, Key Laboratory of Psychiatry and Mental Health of Hunan Province, Central South University, Changsha, Hunan 410011, China; The State Key Laboratory of Medical Genetics, Central South University, China.
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28
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Levin-Schwartz Y, Calhoun VD, Adali T. Quantifying the Interaction and Contribution of Multiple Datasets in Fusion: Application to the Detection of Schizophrenia. IEEE TRANSACTIONS ON MEDICAL IMAGING 2017; 36:1385-1395. [PMID: 28287964 PMCID: PMC5571983 DOI: 10.1109/tmi.2017.2678483] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
The extraction of information from multiple sets of data is a problem inherent to many disciplines. This is possible by either analyzing the data sets jointly as in data fusion or separately and then combining as in data integration. However, selecting the optimal method to combine and analyze multiset data is an ever-present challenge. The primary reason for this is the difficulty in determining the optimal contribution of each data set to an analysis as well as the amount of potentially exploitable complementary information among data sets. In this paper, we propose a novel classification rate-based technique to unambiguously quantify the contribution of each data set to a fusion result as well as facilitate direct comparisons of fusion methods on real data and apply a new method, independent vector analysis (IVA), to multiset fusion. This classification rate-based technique is used on functional magnetic resonance imaging data collected from 121 patients with schizophrenia and 150 healthy controls during the performance of three tasks. Through this application, we find that though optimal performance is achieved by exploiting all tasks, each task does not contribute equally to the result and this framework enables effective quantification of the value added by each task. Our results also demonstrate that data fusion methods are more powerful than data integration methods, with the former achieving a classification rate of 73.5 % and the latter achieving one of 70.9 %, a difference which we show is significant when all three tasks are analyzed together. Finally, we show that IVA, due to its flexibility, has equivalent or superior performance compared with the popular data fusion method, joint independent component analysis.
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29
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Kumar V, Shivakumar V, Chhabra H, Bose A, Venkatasubramanian G, Gangadhar BN. Functional near infra-red spectroscopy (fNIRS) in schizophrenia: A review. Asian J Psychiatr 2017; 27:18-31. [PMID: 28558892 DOI: 10.1016/j.ajp.2017.02.009] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2016] [Revised: 02/02/2017] [Accepted: 02/12/2017] [Indexed: 01/14/2023]
Abstract
The research on the alterations in functional connectivity in schizophrenia has been facilitated by development of an array of functional neuroimaging techniques. Functional Near Infra Red Spectroscopy (fNIRS) is a novel diffuse optical neuromonitring method with its own advantages and limitations. The advantages of fNIRS have made it to be frequently used as a research tool by medical community in different settings. In fNIRS the property of haemoglobin to absorb near infrared light is used to measure brain activity. It provides the indirect measurement of the neuronal activity in the areas of interest. The advantage of fNIRS being less restrictive has made it to be used more commonly in the research of psychiatric disorders in general, schizophrenia in particular. The fNIRS studies on patients with schizophrenia have shown haemodynamic hypo activation primarily in the prefrontal cortex during various cognitive tasks. In this review, initially we have briefly explained the basic principles of fNIRS followed by detailed review of fNIRS findings in patients with schizophrenia.
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Affiliation(s)
- Vijay Kumar
- The Schizophrenia Clinic, Department of Psychiatry & Translational Psychiatry Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neurosciences, Bangalore, India.
| | - Venkataram Shivakumar
- The Schizophrenia Clinic, Department of Psychiatry & Translational Psychiatry Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Harleen Chhabra
- The Schizophrenia Clinic, Department of Psychiatry & Translational Psychiatry Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Anushree Bose
- The Schizophrenia Clinic, Department of Psychiatry & Translational Psychiatry Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Ganesan Venkatasubramanian
- The Schizophrenia Clinic, Department of Psychiatry & Translational Psychiatry Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Bangalore N Gangadhar
- The Schizophrenia Clinic, Department of Psychiatry & Translational Psychiatry Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neurosciences, Bangalore, India
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30
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Nelson BG, Bassett DS, Camchong J, Bullmore ET, Lim KO. Comparison of large-scale human brain functional and anatomical networks in schizophrenia. NEUROIMAGE-CLINICAL 2017; 15:439-448. [PMID: 28616384 PMCID: PMC5459352 DOI: 10.1016/j.nicl.2017.05.007] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/07/2015] [Revised: 04/27/2017] [Accepted: 05/13/2017] [Indexed: 01/04/2023]
Abstract
Schizophrenia is a disease with disruptions in thought, emotion, and behavior. The dysconnectivity hypothesis suggests these disruptions are due to aberrant brain connectivity. Many studies have identified connectivity differences but few have been able to unify gray and white matter findings into one model. Here we develop an extension of the Network-Based Statistic (NBS) called NBSm (Multimodal Network-based statistic) to compare functional and anatomical networks in schizophrenia. Structural, resting functional, and diffusion magnetic resonance imaging data were collected from 29 chronic patients with schizophrenia and 29 healthy controls. Images were preprocessed, and average time courses were extracted for 90 regions of interest (ROI). Functional connectivity matrices were estimated by pairwise correlations between wavelet coefficients of ROI time series. Following diffusion tractography, anatomical connectivity matrices were estimated by white matter streamline counts between each pair of ROIs. Global and regional strength were calculated for each modality. NBSm was used to find significant overlap between functional and anatomical components that distinguished health from schizophrenia. Global strength was decreased in patients in both functional and anatomical networks. Regional strength was decreased in all regions in functional networks and only one region in anatomical networks. NBSm identified a distinguishing functional component consisting of 46 nodes with 113 links (p < 0.001), a distinguishing anatomical component with 47 nodes and 50 links (p = 0.002), and a distinguishing intermodal component with 26 nodes (p < 0.001). NBSm is a powerful technique for understanding network-based group differences present in both anatomical and functional data. In light of the dysconnectivity hypothesis, these results provide compelling evidence for the presence of significant overlapping anatomical and functional disruption in people with schizophrenia. A novel method for the unified analysis of functional and anatomical networks in schizophrenia is proposed. The methodology extends existing networkbased analyses to test brain network differences across imaging modalities. A fundamental disrupted network was found in those with schizophrenia when compared to healthy, agematched controls.
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Affiliation(s)
- Brent G Nelson
- Department of Psychiatry, University of Minnesota, Minneapolis, MN 55454, USA.
| | - Danielle S Bassett
- Department of Physics, University of California, Santa Barbara, CA 93106, USA; Sage Center for the Study of the Mind, University of California, Santa Barbara, CA 93106, USA; Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jazmin Camchong
- Department of Psychiatry, University of Minnesota, Minneapolis, MN 55454, USA
| | - Edward T Bullmore
- Behavioural & Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK; Cambridgeshire & Peterborough NHS Foundation Trust, Cambridge, UK; GlaxoSmithKline R&D, Cambridge, UK
| | - Kelvin O Lim
- Department of Psychiatry, University of Minnesota, Minneapolis, MN 55454, USA
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31
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Del Casale A, Kotzalidis GD, Rapinesi C, Sorice S, Girardi N, Ferracuti S, Girardi P. Functional Magnetic Resonance Imaging Correlates of First-Episode Psychoses during Attentional and Memory Task Performance. Neuropsychobiology 2017; 74:22-31. [PMID: 27698323 DOI: 10.1159/000448620] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2016] [Accepted: 07/21/2016] [Indexed: 11/19/2022]
Abstract
BACKGROUND The nature of the alteration of the response to cognitive tasks in first-episode psychosis (FEP) still awaits clarification. We used activation likelihood estimation, an increasingly used method in evaluating normal and pathological brain function, to identify activation changes in functional magnetic resonance imaging (fMRI) studies of FEP during attentional and memory tasks. METHODS We included 11 peer-reviewed fMRI studies assessing FEP patients versus healthy controls (HCs) during performance of attentional and memory tasks. RESULTS Our database comprised 290 patients with FEP, matched with 316 HCs. Between-group analyses showed that HCs, compared to FEP patients, exhibited hyperactivation of the right middle frontal gyrus (Brodmann area, BA, 9), right inferior parietal lobule (BA 40), and right insula (BA 13) during attentional task performances and hyperactivation of the left insula (BA 13) during memory task performances. CONCLUSIONS Right frontal, parietal, and insular dysfunction during attentional task performance and left insular dysfunction during memory task performance are significant neural functional FEP correlates.
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Affiliation(s)
- Antonio Del Casale
- Department of Neuroscience, Mental Health and Sensory Organs (NESMOS), School of Medicine and Psychology, Sapienza University, Rome, Italy
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32
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Van Snellenberg JX, Girgis RR, Horga G, van de Giessen E, Slifstein M, Ojeil N, Weinstein JJ, Moore H, Lieberman JA, Shohamy D, Smith EE, Abi-Dargham A. Mechanisms of Working Memory Impairment in Schizophrenia. Biol Psychiatry 2016; 80:617-26. [PMID: 27056754 PMCID: PMC4995154 DOI: 10.1016/j.biopsych.2016.02.017] [Citation(s) in RCA: 74] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2015] [Revised: 02/15/2016] [Accepted: 02/16/2016] [Indexed: 11/19/2022]
Abstract
BACKGROUND The neural correlates of working memory (WM) impairment in schizophrenia remain a key puzzle in understanding the cognitive deficits and dysfunction of dorsolateral prefrontal cortex observed in this disorder. We sought to determine whether patients with schizophrenia exhibit an alteration in the inverted-U relationship between WM load and activation that we recently observed in healthy individuals and whether this could account for WM deficits in this population. METHODS Medicated (n = 30) and unmedicated (n = 21) patients with schizophrenia and healthy control subjects (n = 45) performed the self-ordered WM task during functional magnetic resonance imaging. We identified regions exhibiting an altered fit to an inverted-U relationship between WM load and activation that were also predictive of WM performance. RESULTS A blunted inverted-U response was observed in left dorsolateral prefrontal cortex in patients and was associated with behavioral deficits in WM capacity. In addition, suppression of medial prefrontal cortex during WM was reduced in patients and was associated with poorer WM capacity in patients. Finally, activation of visual cortex in the cuneus was elevated in patients and associated with improved WM capacity. Together, these findings explained 55% of the interindividual variance in WM capacity when combined with diagnostic and medication status, which alone accounted for only 22% of the variance in WM capacity. CONCLUSIONS These findings identify a novel biomarker and putative mechanism of WM deficits in patients with schizophrenia, a reduction or flattening of the inverted-U relationship between activation and WM load observed in healthy individuals in left dorsolateral prefrontal cortex.
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Affiliation(s)
- Jared X Van Snellenberg
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, New York; Divisions of Translational Imaging, New York, New York; Cognitive Neuroscience, New York, New York.
| | - Ragy R Girgis
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, New York; Divisions of Translational Imaging, New York, New York
| | - Guillermo Horga
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, New York; Divisions of Translational Imaging, New York, New York
| | - Elsmarieke van de Giessen
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, New York; Divisions of Translational Imaging, New York, New York; Department of Nuclear Medicine, University of Amsterdam, Amsterdam, The Netherlands
| | - Mark Slifstein
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, New York; Divisions of Translational Imaging, New York, New York
| | - Najate Ojeil
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, New York; Divisions of Translational Imaging, New York, New York
| | - Jodi J Weinstein
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, New York; Divisions of Translational Imaging, New York, New York
| | - Holly Moore
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, New York; Integrative Neuroscience, New York, New York
| | - Jeffrey A Lieberman
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, New York; New York State Psychiatric Institute, New York, New York
| | - Daphna Shohamy
- Department of Psychology, Columbia University, New York, New York
| | - Edward E Smith
- Cognitive Neuroscience, New York, New York; Department of Psychology, Columbia University, New York, New York
| | - Anissa Abi-Dargham
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, New York; Divisions of Translational Imaging, New York, New York
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Sabharwal A, Szekely A, Kotov R, Mukherjee P, Leung HC, Barch DM, Mohanty A. Transdiagnostic neural markers of emotion-cognition interaction in psychotic disorders. JOURNAL OF ABNORMAL PSYCHOLOGY 2016; 125:907-922. [PMID: 27618279 PMCID: PMC5576592 DOI: 10.1037/abn0000196] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Deficits in working memory (WM) and emotion processing are prominent impairments in psychotic disorders, and have been linked to reduced quality of life and real-world functioning. Translation of knowledge regarding the neural circuitry implementing these deficits into improved diagnosis and targeted treatments has been slow, possibly because of categorical definitions of disorders. Using the dimensional Research Domain Criteria (RDoC) framework, we investigated the clinical and practical utility of transdiagnostic behavioral and neural measures of emotion-related WM disruption across psychotic disorders. Behavioral and functional MRI data were recorded while 53 participants with psychotic disorders and 29 participants with no history of psychosis performed a modified n-back task with fear and neutral distractors. Hierarchical regression analyses showed that psychotic symptoms entered after diagnosis accounted for unique variance in fear versus neutral accuracy and activation in the ventrolateral, dorsolateral, and dorsomedial prefrontal cortex, but diagnostic group entered after psychotic symptoms did not. These results remained even after controlling for negative symptoms, disorganized symptoms, and dysphoria. Finally, worse accuracy and greater prefrontal activity were associated with poorer social functioning and unemployment across diagnostic groups. Present results support the transdiagnostic nature of behavioral and neuroimaging measures of emotion-related WM disruption as they relate to psychotic symptoms, irrespective of diagnosis. They also provide support for the practical utility of these markers in explaining real-world functioning. Overall, these results elucidate key aspects of the RDoC construct of WM maintenance by clarifying its transdiagnostic importance and clinical utility in psychotic disorders. (PsycINFO Database Record
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Affiliation(s)
| | - Akos Szekely
- Department of Psychology, Stony Brook University
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University
| | | | | | - Deanna M. Barch
- Departments of Psychology, Psychiatry, and Radiology, Washington University in St. Louis
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Poppe AB, Barch DM, Carter CS, Gold JM, Ragland JD, Silverstein SM, MacDonald AW. Reduced Frontoparietal Activity in Schizophrenia Is Linked to a Specific Deficit in Goal Maintenance: A Multisite Functional Imaging Study. Schizophr Bull 2016; 42:1149-57. [PMID: 27060129 PMCID: PMC4988742 DOI: 10.1093/schbul/sbw036] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Patients with schizophrenia (SZ) previously demonstrated specific deficits in an executive function known as goal maintenance, associated with reduced middle frontal gyrus (MFG) activity. This study aimed to validate a new tool-the Dot Pattern Expectancy (DPX) task-developed to facilitate multisite imaging studies of goal maintenance deficits in SZ or other disorders. Additionally, it sought to arrive at recommendations for scan length for future studies using the DPX. Forty-seven SZ and 56 healthy controls (HC) performed the DPX in 3-Tesla functional magnetic resonance imaging (fMRI) scanners at 5 sites. Group differences in DPX-related activity were examined with whole brain voxelwise analyses. SZs showed the hypothesized specific performance deficits with as little as 1 block of data. Reduced activity in SZ compared with HC was observed in bilateral frontal pole/MFG, as well as left posterior parietal lobe. Efficiency analyses found significant group differences in activity using 18 minutes of scan data but not 12 minutes. Several behavioral and imaging findings from the goal maintenance literature were robustly replicated despite the use of different scanners at different sites. We did not replicate a previous correlation with disorganization symptoms among patients. Results were consistent with an executive/attention network dysfunction in the higher levels of a cascading executive system responsible for goal maintenance. Finally, efficiency analyses found that 18 minutes of scanning during the DPX task is sufficient to detect group differences with a similar sample size.
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Affiliation(s)
- Andrew B. Poppe
- Department of Psychology, University of Minnesota, Minneapolis, MN
| | - Deanna M. Barch
- Departments of Psychology & Brain Science, Radiology, and Psychiatry, Washington University School of Medicine, St Louis, MO
| | - Cameron S. Carter
- Department of Psychiatry, University of California at Davis, Sacramento, CA;,Department of Psychology, University of California at Davis, Davis, CA, USA
| | - James M. Gold
- Maryland Psychiatric Research Center and University of Maryland School of Medicine, Baltimore, MD
| | | | - Steven M. Silverstein
- Department of Psychiatry, Rutgers–Robert Wood Johnson Medical School, Piscataway, NJ
| | - Angus W. MacDonald
- Department of Psychology, University of Minnesota, Minneapolis, MN;,Department of Psychiatry, University of Minnesota, Minneapolis, MN,*To whom correspondence should be addressed; Department of Psychology, University of Minnesota, 75 E River Road, Minneapolis, MN 55455, US; tel: 612-624-3813; fax: 612-625-6668, e-mail:
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Ramyead A, Studerus E, Kometer M, Heitz U, Gschwandtner U, Fuhr P, Riecher-Rössler A. Neural oscillations in antipsychotic-naïve patients with a first psychotic episode. World J Biol Psychiatry 2016; 17:296-307. [PMID: 26899507 DOI: 10.3109/15622975.2016.1156742] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
OBJECTIVES In chronic schizophrenic psychoses, oscillatory abnormalities predominantly occur in prefrontal cortical regions and are associated with reduced communication across cortical areas. Nevertheless, it remains unclear whether similar alterations can be observed in patients with a first episode of psychosis (FEP), a state characterised by pathological features occurring in both late prodromal patients and initial phases of frank schizophrenic psychoses. METHODS We assessed resting-state electroencephalographic data of 31 antipsychotic-naïve FEP patients and 29 healthy controls (HC). We investigated the three-dimensional (3D) current source density (CSD) distribution and lagged phase synchronisation (LPS) of oscillations across small-scale and large-scale brain networks. We additionally investigated LPS relationships with clinical symptoms using linear mixed-effects models. RESULTS Compared to HC, FEP patients demonstrated abnormal CSD distributions in frontal areas of the brain; while decreased oscillations were found in the low frequencies, an increase was reported in the high frequencies (P < 0.01). Patients also exhibited deviant LPS in the high frequencies, whose dynamics changed over increasing 3D cortico-cortical distances and increasing psychotic symptoms. CONCLUSIONS These results indicate that in addition to prefrontal cortical abnormalities, altered synchronised neural oscillations are also present, suggesting possible disruptions in cortico-cortical communications. These findings provide new insights into the pathophysiological mechanisms of emerging schizophrenic psychoses.
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Affiliation(s)
- Avinash Ramyead
- a University of Basel Psychiatric Clinics, Center for Gender Research and Early Detection , Basel , Switzerland
| | - Erich Studerus
- a University of Basel Psychiatric Clinics, Center for Gender Research and Early Detection , Basel , Switzerland
| | - Michael Kometer
- b Neuropsychopharmacology and Brain Imaging Research Unit, Department of Psychiatry, Psychotherapy and Psychosomatics , Hospital of Psychiatry, University of Zurich , Switzerland
| | - Ulrike Heitz
- a University of Basel Psychiatric Clinics, Center for Gender Research and Early Detection , Basel , Switzerland
| | - Ute Gschwandtner
- c Department of Neurology , University Hospital Basel , Basel , Switzerland
| | - Peter Fuhr
- c Department of Neurology , University Hospital Basel , Basel , Switzerland
| | - Anita Riecher-Rössler
- a University of Basel Psychiatric Clinics, Center for Gender Research and Early Detection , Basel , Switzerland
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The association between cognitive deficits and prefrontal hemodynamic responses during performance of working memory task in patients with schizophrenia. Schizophr Res 2016; 172:114-22. [PMID: 26830318 DOI: 10.1016/j.schres.2016.01.045] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2015] [Revised: 01/23/2016] [Accepted: 01/25/2016] [Indexed: 11/23/2022]
Abstract
Schizophrenia-associated cognitive deficits are resistant to treatment and thus pose a lifelong burden. The Brief Assessment of Cognition in Schizophrenia (BACS) provides reliable and valid assessments across cognitive domains. However, because the prefrontal functional abnormalities specifically associated with the level of cognitive deficits in schizophrenia have not been examined, we explored this relationship. Patients with schizophrenia (N=87) and matched healthy controls (N=50) participated in the study. Using near-infrared spectroscopy (NIRS), we measured the hemodynamic responses in the prefrontal and superior temporal cortical surface areas during a working memory task. Correlation analyses revealed a relationship between the hemodynamics and the BACS composite and domain scores. Hemodynamic responses of the left dorsolateral prefrontal cortex (DLPFC) and left frontopolar cortex (FPC) in the higher-level-of-cognitive-function schizophrenia group were weaker than the responses of the controls but similar to those of the lower-level-of-cognitive-function schizophrenia group. However, hemodynamic responses in the right DLPFC, bilateral ventrolateral PFC (VLPFC), and right temporal regions decreased with increasing cognitive deficits. In addition, the hemodynamic response correlated positively with the level of cognitive function (BACS composite scores) in the right DLPFC, bilateral VLPFC, right FPC, and bilateral temporal regions in schizophrenia. The correlation was driven by all BACS domains. Our results suggest that the linked functional deficits in the right DLPFC, bilateral VLPFC, right FPC, and bilateral temporal regions may be related to BACS-measured cognitive impairments in schizophrenia and show that linking the neurocognitive deficits and brain abnormalities can increase our understanding of schizophrenia pathophysiology.
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Pu S, Nakagome K, Yamada T, Itakura M, Yamanashi T, Yamada S, Masai M, Miura A, Yamauchi T, Satake T, Iwata M, Nagata I, Roberts DL, Kaneko K. Social cognition and prefrontal hemodynamic responses during a working memory task in schizophrenia. Sci Rep 2016; 6:22500. [PMID: 26928254 PMCID: PMC4772542 DOI: 10.1038/srep22500] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2015] [Accepted: 02/16/2016] [Indexed: 12/05/2022] Open
Abstract
Social cognition is an important determinant of functional impairment in schizophrenia, but its relationship with the prefrontal functional abnormalities associated with the condition is still unclear. The present study aimed to explore the relationship between social cognition and prefrontal function in patients with schizophrenia using 52-channel near-infrared spectroscopy (NIRS). Twenty-six patients with schizophrenia and 26 age-, gender-, and intelligence quotient-matched healthy controls (HCs) participated in the study. Hemodynamic responses in the prefrontal and superior temporal cortical regions were assessed during a working memory task using NIRS. Social cognition was assessed using the Social Cognition Screening Questionnaire (SCSQ). The observed hemodynamic responses were significantly reduced in the lateral prefrontal cortex (PFC), the frontopolar cortex, and temporal regions in subjects with schizophrenia compared to HCs. Additionally, lateral PFC hemodynamic responses assessed during the working memory task demonstrated a strong positive correlation with the SCSQ theory of mind (ToM) subscale score even after controlling for working memory performance. These results suggest that ToM integrity is closely related to lateral PFC functional abnormalities found in patients with schizophrenia. In addition, this study provides evidence to suggest that NIRS could be used to identify biomarkers of social cognition function in subjects with schizophrenia.
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Affiliation(s)
- Shenghong Pu
- Division of Neuropsychiatry, Department of Brain and Neuroscience, Tottori University Faculty of Medicine: 36-1 Nishi-cho, Yonago, Tottori, Japan
| | - Kazuyuki Nakagome
- National Center of Neurology and Psychiatry: 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, Japan
| | - Takeshi Yamada
- Division of Psychiatry, Kurayoshi Hospital, 43 Yamane, Kurayoshi, Japan
| | - Masashi Itakura
- Division of Neuropsychiatry, Department of Brain and Neuroscience, Tottori University Faculty of Medicine: 36-1 Nishi-cho, Yonago, Tottori, Japan
| | - Takehiko Yamanashi
- Division of Neuropsychiatry, Department of Brain and Neuroscience, Tottori University Faculty of Medicine: 36-1 Nishi-cho, Yonago, Tottori, Japan
| | - Sayaka Yamada
- Division of Psychiatry, Kurayoshi Hospital, 43 Yamane, Kurayoshi, Japan
| | - Mieko Masai
- Division of Neuropsychiatry, Department of Brain and Neuroscience, Tottori University Faculty of Medicine: 36-1 Nishi-cho, Yonago, Tottori, Japan
| | - Akihiko Miura
- Division of Neuropsychiatry, Department of Brain and Neuroscience, Tottori University Faculty of Medicine: 36-1 Nishi-cho, Yonago, Tottori, Japan
| | - Takahira Yamauchi
- Division of Neuropsychiatry, Department of Brain and Neuroscience, Tottori University Faculty of Medicine: 36-1 Nishi-cho, Yonago, Tottori, Japan
| | - Takahiro Satake
- Division of Neuropsychiatry, Department of Brain and Neuroscience, Tottori University Faculty of Medicine: 36-1 Nishi-cho, Yonago, Tottori, Japan
| | - Masaaki Iwata
- Division of Neuropsychiatry, Department of Brain and Neuroscience, Tottori University Faculty of Medicine: 36-1 Nishi-cho, Yonago, Tottori, Japan
| | - Izumi Nagata
- Division of Neuropsychiatry, Department of Brain and Neuroscience, Tottori University Faculty of Medicine: 36-1 Nishi-cho, Yonago, Tottori, Japan
| | - David L Roberts
- Department of Psychiatry, The University of Texas Health Center at San Antonio, San Antonio, USA
| | - Koichi Kaneko
- Division of Neuropsychiatry, Department of Brain and Neuroscience, Tottori University Faculty of Medicine: 36-1 Nishi-cho, Yonago, Tottori, Japan
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Brandt CL, Eichele T, Melle I, Sundet K, Server A, Agartz I, Hugdahl K, Jensen J, Andreassen OA. Working memory networks and activation patterns in schizophrenia and bipolar disorder: comparison with healthy controls. Br J Psychiatry 2015; 204:290-8. [PMID: 24434074 DOI: 10.1192/bjp.bp.113.129254] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
BACKGROUND Schizophrenia and bipolar disorder are severe mental disorders with overlapping genetic and clinical characteristics, including cognitive impairments. An important question is whether these disorders also have overlapping neuronal deficits. AIMS To determine whether large-scale brain networks associated with working memory, as measured with functional magnetic resonance imaging (fMRI), are the same in both schizophrenia and bipolar disorder, and how they differ from those in healthy individuals. METHOD Patients with schizophrenia (n = 100) and bipolar disorder (n = 100) and a healthy control group (n = 100) performed a 2-back working memory task while fMRI data were acquired. The imaging data were analysed using independent component analysis to extract large-scale networks of task-related activations. RESULTS Similar working memory networks were activated in all groups. However, in three out of nine networks related to the experimental task there was a graded response difference in fMRI signal amplitudes, where patients with schizophrenia showed greater activation than those with bipolar disorder, who in turn showed more activation than healthy controls. Secondary analysis of the patient groups showed that these activation patterns were associated with history of psychosis and current elevated mood in bipolar disorder. CONCLUSIONS The same brain networks were related to working memory in schizophrenia, bipolar disorder and controls. However, some key networks showed a graded hyperactivation in the two patient groups, in line with a continuum of neuronal abnormalities across psychotic disorders.
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Affiliation(s)
- Christine Lycke Brandt
- Christine Lycke Brandt, MSc, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, and Division of Mental Health and Addiction, Oslo University Hospital, Oslo; Tom Eichele, MD, PhD, Department of Biological and Medical Psychology, University of Bergen, Bergen; Ingrid Melle, MD, PhD, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, and Division of Mental Health and Addiction, Oslo University Hospital, Oslo; Kjetil Sundet, PhD, Department of Psychology, University of Oslo, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, and Division of Mental Health and Addiction, Oslo University Hospital, Oslo; Andrés Server, MD, Section of Neuroradiology, Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo; Ingrid Agartz, MD, PhD, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, and Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway, and Department of Clinical Neuroscience, Psychiatry Section, Karolinska Institute, Stockholm, Sweden; Kenneth Hugdahl, PhD, Department of Biological and Medical Psychology, University of Bergen, and Division of Psychiatry, Department of Radiology, Haukeland University Hospital, Bergen, Norway; Jimmy Jensen, PhD, Centre for Psychology, Kristianstad University, Kristianstad, Sweden, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Ole A. Andreassen, MD, PhD, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
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Brandt CL, Doan NT, Tønnesen S, Agartz I, Hugdahl K, Melle I, Andreassen OA, Westlye LT. Assessing brain structural associations with working-memory related brain patterns in schizophrenia and healthy controls using linked independent component analysis. Neuroimage Clin 2015; 9:253-63. [PMID: 26509112 PMCID: PMC4576364 DOI: 10.1016/j.nicl.2015.08.010] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2015] [Revised: 07/17/2015] [Accepted: 08/17/2015] [Indexed: 01/01/2023]
Abstract
Schizophrenia (SZ) is a psychotic disorder with significant cognitive dysfunction. Abnormal brain activation during cognitive processing has been reported, both in task-positive and task-negative networks. Further, structural cortical and subcortical brain abnormalities have been documented, but little is known about how task-related brain activation is associated with brain anatomy in SZ compared to healthy controls (HC). Utilizing linked independent component analysis (LICA), a data-driven multimodal analysis approach, we investigated structure-function associations in a large sample of SZ (n = 96) and HC (n = 142). We tested for associations between task-positive (fronto-parietal) and task-negative (default-mode) brain networks derived from fMRI activation during an n-back working memory task, and brain structural measures of surface area, cortical thickness, and gray matter volume, and to what extent these associations differed in SZ compared to HC. A significant association (p < .05, corrected for multiple comparisons) was found between a component reflecting the task-positive fronto-parietal network and another component reflecting cortical thickness in fronto-temporal brain regions in SZ, indicating increased activation with increased thickness. Other structure-function associations across, between and within groups were generally moderate and significant at a nominal p-level only, with more numerous and stronger associations in SZ compared to HC. These results indicate a complex pattern of moderate associations between brain activation during cognitive processing and brain morphometry, and extend previous findings of fronto-temporal brain abnormalities in SZ by suggesting a coupling between cortical thickness of these brain regions and working memory-related brain activation.
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Affiliation(s)
- Christine Lycke Brandt
- Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Nhat Trung Doan
- Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Siren Tønnesen
- Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ingrid Agartz
- Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway ; Department of Psychiatric Research, Diakonhjemmet Hospital, Diakonhjemmet, Norway ; Department of Clinical Neuroscience, Psychiatry Section, Karolinska Institutet, Stockholm, Sweden
| | - Kenneth Hugdahl
- Norwegian Centre for Mental Disorders Research, Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway ; Division of Psychiatry, Haukeland University Hospital, Haukeland, Norway ; Department of Radiology, Haukeland University Hospital, Haukeland, Norway ; KG Jebsen Centre for Research on Neuropsychiatric Disorders, University of Bergen, Bergen, Norway
| | - Ingrid Melle
- Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Lars T Westlye
- Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway ; Department of Psychology, University of Oslo, Oslo, Norway
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Schmidt A, Diwadkar VA, Smieskova R, Harrisberger F, Lang UE, McGuire P, Fusar-Poli P, Borgwardt S. Approaching a network connectivity-driven classification of the psychosis continuum: a selective review and suggestions for future research. Front Hum Neurosci 2015; 8:1047. [PMID: 25628553 PMCID: PMC4292722 DOI: 10.3389/fnhum.2014.01047] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2014] [Accepted: 12/15/2014] [Indexed: 01/07/2023] Open
Abstract
Brain changes in schizophrenia evolve along a dynamic trajectory, emerging before disease onset and proceeding with ongoing illness. Recent investigations have focused attention on functional brain interactions, with experimental imaging studies supporting the disconnection hypothesis of schizophrenia. These studies have revealed a broad spectrum of abnormalities in brain connectivity in patients, particularly for connections integrating the frontal cortex. A critical point is that brain connectivity abnormalities, including altered resting state connectivity within the fronto-parietal (FP) network, are already observed in non-help-seeking individuals with psychotic-like experiences. If we consider psychosis as a continuum, with individuals with psychotic-like experiences at the lower and psychotic patients at the upper ends, individuals with psychotic-like experiences represent a key population for investigating the validity of putative biomarkers underlying the onset of psychosis. This paper selectively addresses the role played by FP connectivity in the psychosis continuum, which includes patients with chronic psychosis, early psychosis, clinical high risk, genetic high risk, as well as the general population with psychotic experiences. We first discuss structural connectivity changes among the FP pathway in each domain in the psychosis continuum. This may provide a basis for us to gain an understanding of the subsequent changes in functional FP connectivity. We further indicate that abnormal FP connectivity may arise from glutamatergic disturbances of this pathway, in particular from abnormal NMDA receptor-mediated plasticity. In the second part of this paper we propose some concepts for further research on the use of network connectivity in the classification of the psychosis continuum. These concepts are consistent with recent efforts to enhance the role of data in driving the diagnosis of psychiatric spectrum diseases.
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Affiliation(s)
- André Schmidt
- Department of Psychiatry (UPK), University of Basel Basel, Switzerland
| | - Vaibhav A Diwadkar
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University Detroit, Michigan, USA
| | - Renata Smieskova
- Department of Psychiatry (UPK), University of Basel Basel, Switzerland
| | | | - Undine E Lang
- Department of Psychiatry (UPK), University of Basel Basel, Switzerland
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, King's College London London, UK
| | - Paolo Fusar-Poli
- Department of Psychosis Studies, Institute of Psychiatry, King's College London London, UK
| | - Stefan Borgwardt
- Department of Psychiatry (UPK), University of Basel Basel, Switzerland ; Department of Psychosis Studies, Institute of Psychiatry, King's College London London, UK
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Park S, Gooding DC. WORKING MEMORY IMPAIRMENT AS AN ENDOPHENOTYPIC MARKER OF A SCHIZOPHRENIA DIATHESIS. SCHIZOPHRENIA RESEARCH-COGNITION 2014; 1:127-136. [PMID: 25414816 PMCID: PMC4234058 DOI: 10.1016/j.scog.2014.09.005] [Citation(s) in RCA: 79] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
This chapter focuses on the viability of working memory impairment as an endophenotypic marker of a schizophrenia diathesis. It begins with an introduction of the construct of working memory. It follows with a review of the operational criteria for defining an endophenotype. Research findings regarding the working memory performance of schizophrenia and schizophrenia-spectrum patients, first-degree relatives of schizophrenia patients and healthy controls, are reviewed in terms of the criteria for being considered an endophenotypic marker. Special attention is paid to specific components of the working memory deficit (namely, encoding, maintenance, and manipulation), in terms of which aspects are likely to be the best candidates for endophenotypes. We consider the extant literature regarding working memory performance in bipolar disorder and major depression in order to address the issue of relative specificity to schizophrenia. Despite some unresolved issues, it appears that working memory impairment is a very promising candidate for an endophenotypic marker of a schizophrenia diathesis but not for mood disorders. Throughout this chapter, we identify future directions for research in this exciting and dynamic area of research and evaluate the contribution of working memory research to our understanding of schizophrenia.
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Affiliation(s)
- Sohee Park
- Departments of Psychology and Psychiatry, Vanderbilt University, 111, 21st Avenue South, Nashville, TN 37240, USA
- Corresponding authors.
| | - Diane C. Gooding
- Departments of Psychology and Psychiatry, University of Wisconsin-Madison, 1202 West Johnson Street, Madison, WI 53706, USA
- Corresponding authors.
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Lee H, Ku J, Kim J, Jang DP, Yoon KJ, Kim SI, Kim JJ. Aberrant neural responses to social rejection in patients with schizophrenia. Soc Neurosci 2014; 9:412-23. [PMID: 24731078 DOI: 10.1080/17470919.2014.907202] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Fine-granularity functional interaction signatures for characterization of brain conditions. Neuroinformatics 2014; 11:301-17. [PMID: 23319242 DOI: 10.1007/s12021-013-9177-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
In the human brain, functional activity occurs at multiple spatial scales. Current studies on functional brain networks and their alterations in brain diseases via resting-state functional magnetic resonance imaging (rs-fMRI) are generally either at local scale (regionally confined analysis and inter-regional functional connectivity analysis) or at global scale (graph theoretic analysis). In contrast, inferring functional interaction at fine-granularity sub-network scale has not been adequately explored yet. Here our hypothesis is that functional interaction measured at fine-granularity sub-network scale can provide new insight into the neural mechanisms of neurological and psychological conditions, thus offering complementary information for healthy and diseased population classification. In this paper, we derived fine-granularity functional interaction (FGFI) signatures in subjects with Mild Cognitive Impairment (MCI) and Schizophrenia by diffusion tensor imaging (DTI) and rs-fMRI, and used patient-control classification experiments to evaluate the distinctiveness of the derived FGFI features. Our experimental results have shown that the FGFI features alone can achieve comparable classification performance compared with the commonly used inter-regional connectivity features. However, the classification performance can be substantially improved when FGFI features and inter-regional connectivity features are integrated, suggesting the complementary information achieved from the FGFI signatures.
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Roalf DR, Ruparel K, Gur RE, Bilker W, Gerraty R, Elliott MA, Gallagher RS, Almasy L, Pogue-Geile MF, Prasad K, Wood J, Nimgaonkar VL, Gur RC. Neuroimaging predictors of cognitive performance across a standardized neurocognitive battery. Neuropsychology 2013; 28:161-176. [PMID: 24364396 DOI: 10.1037/neu0000011] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
OBJECTIVE The advent of functional MRI (fMRI) enables the identification of brain regions recruited for specific behavioral tasks. Most fMRI studies focus on group effects in single tasks, which limits applicability where assessment of individual differences and multiple brain systems is needed. METHOD We demonstrate the feasibility of concurrently measuring fMRI activation patterns and performance on a computerized neurocognitive battery (CNB) in 212 healthy individuals at 2 sites. Cross-validated sparse regression of regional brain amplitude and extent of activation were used to predict concurrent performance on 6 neurocognitive tasks: abstraction/mental flexibility, attention, emotion processing, and verbal, face, and spatial memory. RESULTS Brain activation was task responsive and domain specific, as reported in previous single-task studies. Prediction of performance was robust for most tasks, particularly for abstraction/mental flexibility and visuospatial memory. CONCLUSIONS The feasibility of administering a comprehensive neuropsychological battery in the scanner was established, and task-specific brain activation patterns improved prediction beyond demographic information. This benchmark index of performance-associated brain activation can be applied to link brain activation with neurocognitive performance during standardized testing. This first step in standardizing a neurocognitive battery for use in fMRI may enable quantitative assessment of patients with brain disorders across multiple cognitive domains. Such data may facilitate identification of neural dysfunction associated with poor performance, allow for identification of individuals at risk for brain disorders, and help guide early intervention and rehabilitation of neurocognitive deficits.
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Affiliation(s)
| | | | | | | | | | - Mark A Elliott
- Department of Radiology, University of Pennsylvania Perelman School of Medicine
| | | | - Laura Almasy
- Department of Genetics, Texas Biomedical Research Institute
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Faget-Agius C, Boyer L, Lançon C, Richieri R, Fassio E, Soulier E, Chanoine V, Auquier P, Ranjeva JP, Guye M. Structural and functional reorganization of working memory system during the first decade in schizophrenia. A cross-sectional study. Schizophr Res 2013; 151:48-60. [PMID: 24230490 DOI: 10.1016/j.schres.2013.10.023] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2013] [Revised: 09/19/2013] [Accepted: 10/13/2013] [Indexed: 12/01/2022]
Abstract
INTRODUCTION Progressive atrophy occurs in brain regions involved in the working memory network along the schizophrenia's course, but without parallel evolution of working memory impairment. We investigated the functional organization inside this network at different stages of the disease. METHODS Twenty-eight patients with schizophrenia (16 with long disease duration (>60 months) and 12 with short disease duration (<60 months)) and eleven healthy controls underwent structural and functional MRI during an n-back task to determine atrophy and activation patterns. RESULTS At similar n-back performances and relative to short disease duration patients, long disease duration patients activated more frontal temporal parietal and frontal network during 0-back and 1-back tasks respectively. n-back scores were correlated to atrophy in the frontal-temporal areas. DISCUSSION Functional reorganization in the working memory network may play a compensatory role during the first ten years of schizophrenia.
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Affiliation(s)
- C Faget-Agius
- Centre de Résonance Magnétique Biologique et Médicale (CRMBM) UMR AMU-CNRS 7339, Medical School of Marseille, France; Centre d'exploration Métabolique par Résonance Magnétique (CEMEREM) UMR AMU-CNRS 7339, Timone University Hospital, AP-HM, Marseille, France; Department of Psychiatry, Sainte-Marguerite University Hospital, 13009 Marseille, France; Department of Public Health, Timone University Hospital, Assistance Publique-Hôpitaux de Marseille, 13005 Marseille, France.
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Vu MAT, Thermenos HW, Terry DP, Wolfe DJ, Voglmaier MM, Niznikiewicz MA, McCarley RW, Seidman LJ, Dickey CC. Working memory in schizotypal personality disorder: fMRI activation and deactivation differences. Schizophr Res 2013; 151:113-23. [PMID: 24161536 DOI: 10.1016/j.schres.2013.09.013] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2013] [Revised: 08/19/2013] [Accepted: 09/16/2013] [Indexed: 01/03/2023]
Abstract
BACKGROUND Schizotypal personality disorder (SPD) is considered a schizophrenia spectrum disorder, sharing with schizophrenia cognitive, neuropsychological, epidemiological, and biological characteristics. Working memory may be one area of shared deficit, although to date, this is only the second study to investigate working memory in SPD using fMRI. METHODS In a block-design fMRI study, fifteen antipsychotic-naïve SPD and sixteen healthy control subjects performed blocks of a 2back visual working memory task and 0back continuous performance task while undergoing whole-brain fMRI at 3T. Whole-brain analyses were performed for the 0back>rest (fixation baseline) and the 2back>0back contrasts (isolating the working memory component from the visual perception and attention component). Parameter estimates were extracted to determine whether observed differences were due to task-induced activation and/or deactivation. RESULTS Activation differences emerged between the two groups, without differences in task performance. In the 0back task, SPD showed decreased task-induced activation of the left postcentral gyrus. In the 2back>0back contrast, HC showed greater task-induced activation of the left posterior cingulate gyrus, superior temporal gyrus, insula, and middle frontal gyrus. These differences were due to SPD subjects' decreased task-induced activation in the left posterior cingulate gyrus, and task-induced deactivation in the remaining regions. CONCLUSIONS These findings suggest that compared to HC subjects, individuals with SPD may achieve comparable working memory performance. However, differences emerge at the level of functional neural activation, attributable to different task-induced activation and deactivation patterns. Such differential recruitment of neural resources may be beneficial, contributing to SPD subjects' ability to perform these tasks comparably to HC subjects.
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Affiliation(s)
- Mai-Anh T Vu
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
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Quidé Y, Morris RW, Shepherd AM, Rowland JE, Green MJ. Task-related fronto-striatal functional connectivity during working memory performance in schizophrenia. Schizophr Res 2013; 150:468-75. [PMID: 24016726 DOI: 10.1016/j.schres.2013.08.009] [Citation(s) in RCA: 63] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2013] [Revised: 07/21/2013] [Accepted: 08/10/2013] [Indexed: 01/31/2023]
Abstract
Working memory (WM) deficits and associated brain dysfunction are among the most well replicated candidate endophenotypic processes in schizophrenia. However, previous studies demonstrate inconsistent over- and under-activation of dorsolateral and ventrolateral prefrontal cortices (DLPFC; VLPFC), inferior parietal lobule (IPL) during WM performance, as well as subcortical structures including the striatum, and dysfunctional connectivity among fronto-striatal regions in schizophrenia. However, no previous study has investigated task-related functional connectivity (FC) of DLPFC and striatal regions using a seed-based method; here we employed this method to assess patterns of cortical and subcortical functional connectivity among WM structures during a standard 2-back WM task performed by 28 schizophrenia (SZ) and 28 healthy controls (HC). Initial group comparisons of blood oxygenation level dependent (BOLD) responses during the WM task revealed significantly greater bilateral activity in the striatum in SZ relative to HC, but there was no significant group difference in WM cortical activity (right DLPFC, VLPFC or IPL). Analyses of FC within the cortico-subcortical WM network in the HC group revealed positive performance-related FC between the right DLPFC and the right caudate, and between the right VLPFC and the right IPL; this pattern was absent in SZ. In contrast, SZ patients showed negative performance-related functional connectivity between the left putamen and the right VLPFC. Direct group comparisons in functional connectivity showed significantly greater performance-related FC between the VLPFC and bilateral putamen, as well as unilaterally between the VLPFC and the right IPL, in HC. Results suggest a critical dysfunction of cortico-striatal connectivity underpinning information retrieval for SZ patients during WM performance.
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Affiliation(s)
- Yann Quidé
- Schizophrenia Research Institute, Darlinghurst, NSW, Australia; School of Psychiatry, University of New South Wales, Randwick, NSW, Australia
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Reduced but broader prefrontal activity in patients with schizophrenia during n-back working memory tasks: a multi-channel near-infrared spectroscopy study. J Psychiatr Res 2013; 47:1240-6. [PMID: 23743135 DOI: 10.1016/j.jpsychires.2013.05.009] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2012] [Revised: 05/07/2013] [Accepted: 05/13/2013] [Indexed: 11/23/2022]
Abstract
BACKGROUND Caudal regions of the prefrontal cortex, including the dorsolateral (DLPFC) and ventrolateral (VLPFC) prefrontal cortex, are involved in essential cognitive functions such as working memory. In contrast, more rostral regions, such as the frontopolar cortex (FpC), have integrative functions among cognitive functions and thereby contribute crucially to real-world social activity. Previous functional magnetic resonance imaging studies have shown patients with schizophrenia had different DLPFC activity pattern in response to cognitive load changes compared to healthy controls; however, the spatial relationship between the caudal and rostral prefrontal activation has not been evaluated under less-constrained conditions. METHOD Twenty-six patients with schizophrenia and 26 age-, sex-, and premorbid-intelligence-matched healthy controls participated in this study. Hemodynamic changes during n-back working memory tasks with different cognitive loads were measured using multi-channel near-infrared spectroscopy (NIRS). RESULTS Healthy controls showed significant task-related activity in the bilateral VLPFC and significant task-related decreased activity in the DLPFC, with greater signal changes when the task required more cognitive load. In contrast, patients with schizophrenia showed activation in the more rostral regions, including bilateral DLPFC and FpC. Neither decreased activity nor greater activation in proportion to elevated cognitive load occurred. CONCLUSIONS This multi-channel NIRS study demonstrated that activation intensity did not increase in patients with schizophrenia associated with cognitive load changes, suggesting hypo-frontality as cognitive impairment in schizophrenia. On the other hand, patients had broader prefrontal activity in areas such as the bilateral DLPFC and FpC regions, thus suggesting a hyper-frontality compensatory response.
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Mano QR, Brown GG. Cognition–emotion interactions in schizophrenia: Emerging evidence on working memory load and implicit facial-affective processing. Cogn Emot 2013; 27:875-99. [DOI: 10.1080/02699931.2012.751360] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Fogelson N, Li L, Li Y, Fernandez-Del-Olmo M, Santos-Garcia D, Peled A. Functional connectivity abnormalities during contextual processing in schizophrenia and in Parkinson's disease. Brain Cogn 2013; 82:243-53. [PMID: 23721994 DOI: 10.1016/j.bandc.2013.05.001] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2013] [Revised: 04/26/2013] [Accepted: 05/01/2013] [Indexed: 01/09/2023]
Abstract
Functional connectivity was evaluated in patients with schizophrenia (SC) and in patients with Parkinson's disease (PD) during the performance of a local contextual processing paradigm, to investigate the proposition that functional disconnection is involved with contextual processing deficits in these populations. To this end, we utilized event-related EEG signals, synchronization likelihood and graph theoretical analysis. Local context was defined as the occurrence of a predictive sequence of stimuli before the presentation of a target event. In the SC patients, we observed a decrease in path length (L) in the beta band, for the predictive sequence and for predicted and random targets, compared with controls. These abnormalities were associated with weaker frontal-temporal-parietal connections. In the PD patients we found longer L (theta band) for predicted targets, and higher cluster coefficients for both the predictive sequence (theta band) and predicted targets (alpha and theta bands), compared with controls. Detection of predicted targets was associated with weaker frontal-parietal connections in PD. No group differences were found for randomized standard stimuli in both SC and PD patients. These findings provide evidence of task-specific functional connectivity abnormalities within frontal networks during local contextual processing.
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Affiliation(s)
- Noa Fogelson
- Department of Psychology, University of A Coruña, La Coruña, Spain.
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