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Goena J, Alústiza I, Vidal-Adroher C, Garcés MS, Fernández M, Molero P, García-Eulate R, Fernández-Seara M, Ortuño F. Time discrimination and change detection could share a common brain network: findings of a task-based fMRI study. Front Psychol 2023; 14:1110972. [PMID: 37529319 PMCID: PMC10390230 DOI: 10.3389/fpsyg.2023.1110972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 06/05/2023] [Indexed: 08/03/2023] Open
Abstract
Introduction Over the past few years, several studies have described the brain activation pattern related to both time discrimination (TD) and change detection processes. We hypothesize that both processes share a common brain network which may play a significant role in more complex cognitive processes. The main goal of this proof-of-concept study is to describe the pattern of brain activity involved in TD and oddball detection (OD) paradigms, and in processes requiring higher cognitive effort. Methods We designed an experimental task, including an auditory test tool to assess TD and OD paradigms, which was conducted under functional magnetic resonance imaging (fMRI) in 14 healthy participants. We added a cognitive control component into both paradigms in our test tool. We used the general linear model (GLM) to analyze the individual fMRI data images and the random effects model for group inference. Results We defined the areas of brain activation related to TD and OD paradigms. We performed a conjunction analysis of contrast TD (task > control) and OD (task > control) patterns, finding both similarities and significant differences between them. Discussion We conclude that change detection and other cognitive processes requiring an increase in cognitive effort require participation of overlapping functional and neuroanatomical components, suggesting the presence of a common time and change detection network. This is of particular relevance for future research on normal cognitive functioning in the healthy population, as well as for the study of cognitive impairment and clinical manifestations associated with various neuropsychiatric conditions such as schizophrenia.
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Affiliation(s)
- Javier Goena
- Department of Psychiatry and Clinical Psychology, Clínica Universidad de Navarra, Pamplona, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
- Department of Psychiatry, Basurto University Hospital, Bilbao, Spain
| | - Irene Alústiza
- Department of Psychiatry and Clinical Psychology, Clínica Universidad de Navarra, Pamplona, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Cristina Vidal-Adroher
- Department of Psychiatry and Clinical Psychology, Clínica Universidad de Navarra, Pamplona, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - María Sol Garcés
- Department of Psychiatry and Clinical Psychology, Clínica Universidad de Navarra, Pamplona, Spain
- Colegio de Ciencias Sociales y Humanidades, Universidad San Francisco de Quito, Quito, Ecuador
- Instituto de Neurociencias, Universidad San Francisco de Quito, Quito, Ecuador
| | - Miguel Fernández
- Department of Radiology, Clínica Universidad de Navarra, Pamplona, Spain
| | - Patricio Molero
- Department of Psychiatry and Clinical Psychology, Clínica Universidad de Navarra, Pamplona, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Reyes García-Eulate
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
- Department of Radiology, Clínica Universidad de Navarra, Pamplona, Spain
| | - María Fernández-Seara
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
- Department of Radiology, Clínica Universidad de Navarra, Pamplona, Spain
| | - Felipe Ortuño
- Department of Psychiatry and Clinical Psychology, Clínica Universidad de Navarra, Pamplona, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
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2
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Cognitive Deficit in Schizophrenia: From Etiology to Novel Treatments. Int J Mol Sci 2021; 22:ijms22189905. [PMID: 34576069 PMCID: PMC8468549 DOI: 10.3390/ijms22189905] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 09/08/2021] [Accepted: 09/10/2021] [Indexed: 01/09/2023] Open
Abstract
Schizophrenia is a major mental illness characterized by positive and negative symptoms, and by cognitive deficit. Although cognitive impairment is disabling for patients, it has been largely neglected in the treatment of schizophrenia. There are several reasons for this lack of treatments for cognitive deficit, but the complexity of its etiology-in which neuroanatomic, biochemical and genetic factors concur-has contributed to the lack of effective treatments. In the last few years, there have been several attempts to develop novel drugs for the treatment of cognitive impairment in schizophrenia. Despite these efforts, little progress has been made. The latest findings point to the importance of developing personalized treatments for schizophrenia which enhance neuroplasticity, and of combining pharmacological treatments with non-pharmacological measures.
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Liu X, Wang N, Wang J, Luo F. Formalin-induced pain prolongs sub- to supra-second time estimation in rats. PeerJ 2021; 9:e11002. [PMID: 33717706 PMCID: PMC7934679 DOI: 10.7717/peerj.11002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 02/02/2021] [Indexed: 11/25/2022] Open
Abstract
Background Temporal estimation can be influenced by pain, which is a complex psychological and physiological phenomenon. However, the time range in which perception is most sensitive to pain remains unclear. Methods In the present study, we explored the effects of acute inflammatory pain on time perception in the sub- to supra-second (0.6–2.4-s) and supra-second (2–8-s) ranges in rats. Plantar formalin injection was used to induce acute inflammatory pain, and a temporal bisection task was used to measure time perception. Task test sessions were held for five consecutive days (one per day): the day before injection (baseline), immediately after injection, and the three post-injection days. The point of subjective equality (PSE, which reflects the subjective duration) and Weber fraction (which reflects temporal sensitivity) were calculated and analysed. Results In the 0.6–2.4-s range, the PSE was significantly lower, indicating prolonged subjective duration, in the formalin group relative to the saline group (p = 0.049) immediately after injection. Formalin-induced pain also tended to lengthened time perception in the 0.6–2.4-s range on post-injection days 2 (p = 0.06) and 3 (p = 0.054). In the 2–8-s range, formalin injection did not affect the PSE or Weber fraction. Conclusions The enhanced effect of pain on temporal perception in the sub- to supra-second range is observed in this study and this effect is attenuated with the prolongation of estimated time, even in rats.
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Affiliation(s)
- Xinhe Liu
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Ning Wang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Jinyan Wang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Fei Luo
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
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Garcés MS, Alústiza I, Albajes-Eizagirre A, Goena J, Molero P, Radua J, Ortuño F. An fMRI Study Using a Combined Task of Interval Discrimination and Oddball Could Reveal Common Brain Circuits of Cognitive Change. Front Psychiatry 2021; 12:786113. [PMID: 34987432 PMCID: PMC8721204 DOI: 10.3389/fpsyt.2021.786113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 11/02/2021] [Indexed: 12/04/2022] Open
Abstract
Recent functional neuroimaging studies suggest that the brain networks responsible for time processing are involved during other cognitive processes, leading to a hypothesis that time-related processing is needed to perform a range of tasks across various cognitive functions. To examine this hypothesis, we analyze whether, in healthy subjects, the brain structures activated or deactivated during performance of timing and oddball-detection type tasks coincide. To this end, we conducted two independent signed differential mapping (SDM) meta-analyses of functional magnetic resonance imaging (fMRI) studies assessing the cerebral generators of the responses elicited by tasks based on timing and oddball-detection paradigms. Finally, we undertook a multimodal meta-analysis to detect brain regions common to the findings of the two previous meta-analyses. We found that healthy subjects showed significant activation in cortical areas related to timing and salience networks. The patterns of activation and deactivation corresponding to each task type partially coincided. We hypothesize that there exists a time and change-detection network that serves as a common underlying resource used in a broad range of cognitive processes.
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Affiliation(s)
- María Sol Garcés
- Department of Psychiatry and Clinical Psychology, Clínica Universidad de Navarra, Pamplona, Spain.,Colegio de Ciencias Sociales y Humanidades, Universidad San Francisco de Quito USFQ, Quito, Ecuador.,Instituto de Neurociencias, Universidad San Francisco de Quito USFQ, Quito, Ecuador
| | - Irene Alústiza
- Department of Psychiatry and Clinical Psychology, Clínica Universidad de Navarra, Pamplona, Spain.,Instituto de Investigación Sanitaria de Navarra (IDISNA), Pamplona, Spain
| | - Anton Albajes-Eizagirre
- Imaging of Mood and Anxiety Related Disorders (IMARD) Group, d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM ES, Barcelona, Spain
| | - Javier Goena
- Instituto de Neurociencias, Universidad San Francisco de Quito USFQ, Quito, Ecuador.,Instituto de Investigación Sanitaria de Navarra (IDISNA), Pamplona, Spain
| | - Patricio Molero
- Department of Psychiatry and Clinical Psychology, Clínica Universidad de Navarra, Pamplona, Spain.,Instituto de Investigación Sanitaria de Navarra (IDISNA), Pamplona, Spain
| | - Joaquim Radua
- Imaging of Mood and Anxiety Related Disorders (IMARD) Group, d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM ES, Barcelona, Spain.,Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,Department of Clinical Neuroscience, Centre for Psychiatric Research and Education, Karolinska Institutet SE, Solna, Sweden
| | - Felipe Ortuño
- Department of Psychiatry and Clinical Psychology, Clínica Universidad de Navarra, Pamplona, Spain.,Instituto de Investigación Sanitaria de Navarra (IDISNA), Pamplona, Spain
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Snowden AW, Buhusi CV. Neural Correlates of Interval Timing Deficits in Schizophrenia. Front Hum Neurosci 2019; 13:9. [PMID: 30760991 PMCID: PMC6362255 DOI: 10.3389/fnhum.2019.00009] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2018] [Accepted: 01/09/2019] [Indexed: 12/21/2022] Open
Abstract
Previous research has shown that schizophrenia (SZ) patients exhibit impairments in interval timing. The cause of timing impairments in SZ remains unknown but may be explained by a dysfunction in the fronto-striatal circuits. Although the current literature includes extensive behavioral data on timing impairments, there is limited focus on the neural correlates of timing in SZ. The neuroimaging literature included in the current review reports hypoactivation in the dorsal-lateral prefrontal cortex (DLPFC), supplementary motor area (SMA) and the basal ganglia (BG). Timing deficits and deficits in attention and working memory (WM) in SZ are likely due to a dysfunction of dopamine (DA) and gamma-aminobutyric acid (GABA) neurotransmission in the cortico-striatal-thalamo-cortical circuits, which are highly implicated in executive functioning and motor preparation.
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Affiliation(s)
- Ariel W Snowden
- Interdisciplinary Program in Neuroscience, Department of Psychology, Utah State University, Logan, UT, United States
| | - Catalin V Buhusi
- Interdisciplinary Program in Neuroscience, Department of Psychology, Utah State University, Logan, UT, United States
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6
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Alústiza I, Garcés MS, Solanes A, Goena J, Ortuño M, Molero P, Radua J, Ortuño F. Aberrant timing and oddball detection in Schizophrenia: findings from a signed differential mapping meta-analysis. Heliyon 2018; 4:e01004. [PMID: 30582035 PMCID: PMC6287083 DOI: 10.1016/j.heliyon.2018.e01004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Revised: 10/29/2018] [Accepted: 11/29/2018] [Indexed: 11/17/2022] Open
Abstract
Schizophrenia (SZ) is associated with deficits in both temporal and salience processing. The underlying neurological dysfunctions in both processes, which are interrelated and share neuroanatomical bases, remain poorly understood. The principal objective of this study was to elucidate whether there are any brain regions that show abnormal response during timing and oddball tasks in patients with SZ. To this end, we conducted a signed differential mapping (SDM) meta-analysis of functional magnetic resonance imaging (fMRI) studies assessing abnormal responses elicited by tasks based on the oddball paradigm in patients with SZ. We conducted a similar SDM meta-analysis of neuroimaging studies of timing tasks in SZ. Finally, we undertook a multimodal meta-analysis to detect the common findings of the two previous meta-analyses. We found that SZ patients showed hypoactivation in cortical and subcortical areas related to timing. The dysfunction observed during timing tasks partially coincided with deficiencies in change-detection functions (particularly in the case of preattentional processing in the mismatch negativity response). We hypothesize that a dysfunctional timing/change detection network underlies the cognitive impairment observed in SZ.
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Affiliation(s)
- Irene Alústiza
- Department of Psychiatry and Clinical Psychology, Clínica Universidad de Navarra, Pamplona, Navarra, Spain
- Instituto de Investigación Sanitaria de Navarra (IDISNA), Navarra, Spain
- Corresponding author.
| | - María Sol Garcés
- Department of Psychiatry and Clinical Psychology, Clínica Universidad de Navarra, Pamplona, Navarra, Spain
| | - Aleix Solanes
- Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
- FIDMAG Germanes Hospitalaries, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Saint Boi de Llobregat, Barcelona, Spain
| | - Javier Goena
- Department of Psychiatry and Clinical Psychology, Clínica Universidad de Navarra, Pamplona, Navarra, Spain
| | - Marta Ortuño
- Department of Psychiatry and Clinical Psychology, Clínica Universidad de Navarra, Pamplona, Navarra, Spain
| | - Patricio Molero
- Department of Psychiatry and Clinical Psychology, Clínica Universidad de Navarra, Pamplona, Navarra, Spain
- Instituto de Investigación Sanitaria de Navarra (IDISNA), Navarra, Spain
| | - Joaquim Radua
- Early Psychosis: Interventions & Clinical-detection (EPIC) Laboratory, King's College London, Institute of Psychiatry Psychology and Neuroscience, London, United Kingdom
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
- Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
- FIDMAG Germanes Hospitalaries, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Saint Boi de Llobregat, Barcelona, Spain
| | - Felipe Ortuño
- Department of Psychiatry and Clinical Psychology, Clínica Universidad de Navarra, Pamplona, Navarra, Spain
- Instituto de Investigación Sanitaria de Navarra (IDISNA), Navarra, Spain
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7
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Ciullo V, Piras F, Vecchio D, Banaj N, Coull JT, Spalletta G. Predictive timing disturbance is a precise marker of schizophrenia. Schizophr Res Cogn 2018; 12:42-49. [PMID: 29928596 PMCID: PMC6007042 DOI: 10.1016/j.scog.2018.04.001] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2018] [Revised: 04/02/2018] [Accepted: 04/21/2018] [Indexed: 12/16/2022]
Abstract
Timing disturbances have being proposed as a key component of schizophrenia pathogenesis. However, the contribution of cognitive impairment to such disorders has not been clarified. Here, we investigated duration estimation and predictive timing in 30 patients with DSM-5 diagnosis of schizophrenia (SZ) compared to 30 healthy controls (HC). Duration estimation was examined in a temporal and colour discrimination task, fully controlled for working memory (WM) and attention requirements, and by more traditional temporal production and temporal bisection tasks. Predictive timing was measured in a temporal and spatial orienting of attention task. Expectations about stimulus onset (temporal condition) or location (spatial condition) were induced by valid and invalid symbolic cues. Results showed that discrimination of temporal and colour stimulus attributes was equally impaired in SZ. This, taken with the positive correlation between temporal bisection performance and neuropsychological measures of WM, indicates that duration estimation impairments in SZ are underpinned by WM dysfunction. Conversely, we found dissociation in temporal and spatial predictive ability in SZ. Unlike controls, patients were selectively unperturbed by events appearing at an unexpected moment in time, though were perturbed by targets appearing at an unexpected location. Moreover, patients were able to generate temporal expectations more implicitly, as their performance was influenced by the predictive nature of the flow of time itself. Our findings shed new light on the debate over the specificity of timing distortions in SZ, providing evidence that predictive timing is a precise marker of SZ, more sensitive than duration estimation, serving as a valid heuristic for studying the pathophysiology of the disorder.
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Affiliation(s)
- Valentina Ciullo
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
- Department of Neurosciences, Psychology, Drug Research and Child Health, University of Florence, Italy
| | - Federica Piras
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Daniela Vecchio
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
- Department of Psychology, Sapienza University of Rome, Italy
| | - Nerisa Banaj
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Jennifer T. Coull
- Laboratoire des Neurosciences Cognitives UMR 7291, Aix-Marseille University, CNRS, Marseille, France
| | - Gianfranco Spalletta
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
- Division of Neuropsychiatry, Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States
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8
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Zhou HY, Cai XL, Weigl M, Bang P, Cheung EF, Chan RC. Multisensory temporal binding window in autism spectrum disorders and schizophrenia spectrum disorders: A systematic review and meta-analysis. Neurosci Biobehav Rev 2018; 86:66-76. [DOI: 10.1016/j.neubiorev.2017.12.013] [Citation(s) in RCA: 66] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2017] [Revised: 12/29/2017] [Accepted: 12/29/2017] [Indexed: 11/28/2022]
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Abstract
Cognitive deficits in Posttraumatic Stress Disorder (PTSD) and dissociative symptoms suggest there may be an underlying and persistent problem with temporal processing in PTSD, but this question has not been systematically examined. We investigated the ability of a group of PTSD participants in estimating the duration of supra-second visual stimuli relative to healthy controls. The data of 59 participants with PTSD and 62 healthy controls, collected from the BRID database, have been examined. Overall, our results indicate that PTSD patients overestimate the duration of the displayed stimuli. Moreover, we found that PTSD are more variable in the time estimation compared to the control group. Finally, we found evidence that working memory and attention impairments were associated with time overestimation in PTSD. The finding of time overestimation in PTSD accords with previous reports of time overestimation during stressful experiences associated with fear and arousal, but extends findings to suggest it remains in chronic PTSD populations processing non-emotional stimuli. The evidence of time overestimation in PTSD suggests the potential relevance of this factor as a cognitive marker in assessing the neuropsychological profile of this clinical population.
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10
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Müller VI, Cieslik EC, Laird AR, Fox PT, Radua J, Mataix-Cols D, Tench CR, Yarkoni T, Nichols TE, Turkeltaub PE, Wager TD, Eickhoff SB. Ten simple rules for neuroimaging meta-analysis. Neurosci Biobehav Rev 2018; 84:151-161. [PMID: 29180258 PMCID: PMC5918306 DOI: 10.1016/j.neubiorev.2017.11.012] [Citation(s) in RCA: 500] [Impact Index Per Article: 83.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2017] [Revised: 11/18/2017] [Accepted: 11/20/2017] [Indexed: 01/15/2023]
Abstract
Neuroimaging has evolved into a widely used method to investigate the functional neuroanatomy, brain-behaviour relationships, and pathophysiology of brain disorders, yielding a literature of more than 30,000 papers. With such an explosion of data, it is increasingly difficult to sift through the literature and distinguish spurious from replicable findings. Furthermore, due to the large number of studies, it is challenging to keep track of the wealth of findings. A variety of meta-analytical methods (coordinate-based and image-based) have been developed to help summarise and integrate the vast amount of data arising from neuroimaging studies. However, the field lacks specific guidelines for the conduct of such meta-analyses. Based on our combined experience, we propose best-practice recommendations that researchers from multiple disciplines may find helpful. In addition, we provide specific guidelines and a checklist that will hopefully improve the transparency, traceability, replicability and reporting of meta-analytical results of neuroimaging data.
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Affiliation(s)
- Veronika I Müller
- Institute of Systems Neuroscience and Institute of Clinical Neuroscience & Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Institute of Neuroscience und Medicine (INM-1, INM-7), Research Centre Jülich, Jülich, Germany.
| | - Edna C Cieslik
- Institute of Systems Neuroscience and Institute of Clinical Neuroscience & Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Institute of Neuroscience und Medicine (INM-1, INM-7), Research Centre Jülich, Jülich, Germany.
| | - Angela R Laird
- Department of Physics, Florida International University, Miami, FL, USA
| | - Peter T Fox
- Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA; Research Service, South Texas Veterans Administration Medical Center, San Antonio, TX, USA; Shenzhen Institute of Neuroscience, Shenzhen University, Shenzhen, China
| | - Joaquim Radua
- FIDMAG Germanes Hospitalàries, CIBERSAM, Barcelona, Spain; Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden; Department of Psychosis Studies, Institute of Psychology, Psychiatry, and Neuroscience, King's College London, London, United Kingdom
| | - David Mataix-Cols
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - Christopher R Tench
- (CRT) Division of Clinical Neurosciences, Clinical Neurology, University of Nottingham, Queen's Medical Centre, Nottingham, United Kingdom
| | - Tal Yarkoni
- Department of Psychology, University of Texas at Austin, Austin, TX, USA
| | - Thomas E Nichols
- Department of Statistics, University of Warwick, Coventry, United Kingdom; Warwick Manufactoring Group, University of Warwick, Coventry, United Kingdom
| | - Peter E Turkeltaub
- Department of Neurology, Georgetown University Medical Center, Washington, DC, USA; Research Division, MedStar National Rehabilitation Hospital, Washington, DC, USA
| | - Tor D Wager
- Department of Psychology and Neuroscience, University of Colorado, Boulder, Colorado, USA; Institute of Cognitive Science, University of Colorado, Boulder, USA
| | - Simon B Eickhoff
- Institute of Systems Neuroscience and Institute of Clinical Neuroscience & Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Institute of Neuroscience und Medicine (INM-1, INM-7), Research Centre Jülich, Jülich, Germany
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11
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Electrophysiological correlates of visual backward masking in high schizotypic personality traits participants. Psychiatry Res 2017; 254:251-257. [PMID: 28477548 DOI: 10.1016/j.psychres.2017.04.051] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2016] [Revised: 03/17/2017] [Accepted: 04/23/2017] [Indexed: 01/02/2023]
Abstract
Visual backward masking is strongly deteriorated in patients with schizophrenia. Masking deficits are associated with strongly reduced amplitudes of the global field power in the EEG. Healthy participants who scored high in cognitive disorganization (a schizotypic trait) were impaired in backward masking compared to participants who scored low. Here, we show that the global field power is also reduced in healthy participants scoring high (n=25) as compared to low (n=20) in cognitive disorganization, though quantitatively less pronounced than in patients (n=10). These results point to similar mechanisms underlying visual backward masking deficits along the schizophrenia spectrum.
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12
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de Montalembert M, Coulon N, Cohen D, Bonnot O, Tordjman S. Time perception of simultaneous and sequential events in early-onset schizophrenia. Neurocase 2016; 22:392-9. [PMID: 27388526 DOI: 10.1080/13554794.2016.1205098] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
Timing disorders in schizophrenia are a well-known phenomenon. However, no studies have yet assessed the role of temporal distortions in early-onset schizophrenia (EOS), despite evidence that distorted time perception may share genetic risk factors with schizophrenia and may be a useful indicator in identifying individuals at risk for schizophrenia. In the present study, we investigated the ability of 10 patients with EOS (mean age = 21.5 years, SD = 6) matched with 20 healthy control participants (mean age = 25.3 years, SD = 4.6) in order to compare the durations of two visual events, presented either sequentially or overlapping in time, along with neuropsychological assessments of attention, working memory, and executive functions. Each participant had to judge a total of 336 stimuli. We found that temporal overlap had a greater negative effect on ability to judge the duration of a pair of stimuli in EOS patients than in healthy control participants. In addition, EOS patients showed impairments in attention and executive functions. Furthermore, in EOS patients, the scores for executive and attentional functions were significantly correlated with accuracy of temporal estimation in the overlap condition (r = 0.31, p < 0.05 and r = 0.57, p < 0.05, respectively). These preliminary results suggest that impairments in neuropsychological functions participate in the deficit in time estimation observed in patients with EOS. These conclusions highlight the importance of testing time perception in patients with EOS and could contribute to the development of cognitive remediation-based therapy for these patients.
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Affiliation(s)
- M de Montalembert
- a Laboratoire Cognitions Humaine et Artificielle (CHArt-UPO, EA 4004) & Université Paris Ouest Nanterre la Défense , Nanterre, France
| | - N Coulon
- b Laboratoire Psychologie de la Perception (CNRS UMR 8242) , Université Paris Descartes , Paris, France.,c Département de Psychiatrie , Université de Brest, CHU de Brest , Brest, France
| | - D Cohen
- d Service de Psychiatrie de l'enfant et de l'adolescent, CNRS UMR 7222 Institut des Systèmes Intelligents et Robotiques, GH Pitié Salpêtrière, AP-HP, UPMC , Paris , France
| | - O Bonnot
- e Unité Universitaire de Psychiatrie de l'Enfant et de l'Adolescent , Hôpital Mère-Enfant, CHU de Nantes , France
| | - S Tordjman
- b Laboratoire Psychologie de la Perception (CNRS UMR 8242) , Université Paris Descartes , Paris, France.,f Pôle Hospitalo-Universitaire de Psychiatrie de l'Enfant et de l'Adolescent de Rennes , Université de Rennes 1 , Rennes, France
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Shebloski KL, Broadway JM. Commentary: Effects of psilocybin on time perception and temporal control of behavior in humans. Front Psychol 2016; 7:736. [PMID: 27242638 PMCID: PMC4871852 DOI: 10.3389/fpsyg.2016.00736] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2016] [Accepted: 05/03/2016] [Indexed: 11/13/2022] Open
Affiliation(s)
- Katarina L Shebloski
- Department of Psychology, University of California, Santa Barbara Santa Barbara, CA, USA
| | - James M Broadway
- Department of Neuroscience, University of New Mexico Albuquerque, NM, USA
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