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Kronberg G, Ceceli AO, Huang Y, Gaudreault PO, King SG, McClain N, Alia-Klein N, Goldstein RZ. Naturalistic drug cue reactivity in heroin use disorder: orbitofrontal synchronization as a marker of craving and recovery. medRxiv 2024:2023.11.02.23297937. [PMID: 37961156 PMCID: PMC10635268 DOI: 10.1101/2023.11.02.23297937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Movies captivate groups of individuals (the audience), especially if they contain themes of common motivational interest to the group. In drug addiction, a key mechanism is maladaptive motivational salience attribution whereby drug cues outcompete other reinforcers within the same environment or context. We predicted that while watching a drug-themed movie, where cues for drugs and other stimuli share a continuous narrative context, fMRI responses in individuals with heroin use disorder (iHUD) will preferentially synchronize during drug scenes. Results revealed such drug-biased synchronization in the orbitofrontal cortex (OFC), ventromedial and ventrolateral prefrontal cortex, and insula. After 15 weeks of inpatient treatment, there was a significant reduction in this drug-biased shared response in the OFC, which correlated with a concomitant reduction in dynamically-measured craving, suggesting synchronized OFC responses to a drug-themed movie as a neural marker of craving and recovery in iHUD.
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Affiliation(s)
- Greg Kronberg
- Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Ahmet O Ceceli
- Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Yuefeng Huang
- Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | | | - Sarah G King
- Icahn School of Medicine at Mount Sinai, New York, NY 10029
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2
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Niu L, Song X, Li Q, Peng L, Dai H, Zhang J, Chen K, Lee TMC, Zhang R. Age-related positive emotional reactivity decline associated with the anterior insula based resting-state functional connectivity. Hum Brain Mapp 2024; 45:e26621. [PMID: 38339823 PMCID: PMC10858337 DOI: 10.1002/hbm.26621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 01/17/2024] [Accepted: 01/26/2024] [Indexed: 02/12/2024] Open
Abstract
Recent studies have suggested that emotional reactivity changes with age, but the neural basis is still unclear. The insula may be critical for the emotional reactivity. The current study examined how ageing affects emotional reactivity using the emotional reactivity task data from a human sample (Cambridge Center for Age and Neuroscience, N = 243, age 18-88 years). The resting-state magnetic resonance measurements from the same sample were used to investigate the potential mechanisms of the insula. In the initial analysis, we conducted partial correlation assessments to examine the associations between emotional reactivity and age, as well as between the gray matter volume (GMV) of the insula and age. Our results revealed that emotional reactivity, especially positive emotional reactivity, decreased with age and that the GMV of the insula was negatively correlated with age. Subsequently, the bilateral insula was divided into six subregions to calculate the whole brain resting-state functional connectivity (rsFC). The mediating effect of the rsFC on age and emotional reactivity was then calculated. The results showed that the rsFC of the left anterior insula (AI) with the right hippocampus, and the rsFCs of the right AI with the striatum and the thalamus were mediated the relationship between positive emotional reactivity and age. Our findings suggest that attenuating emotional reactivity with age may be a strategic adaptation fostering emotional stability and diminishing emotional vulnerability. Meanwhile, the findings implicate a key role for the AI in the changes in positive emotional reactivity with age.
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Affiliation(s)
- Lijing Niu
- Cognitive Control and Brain Healthy Laboratory, Department of Psychology, School of Public HealthSouthern Medical UniversityGuangzhouChina
| | - Xiaoqi Song
- Cognitive Control and Brain Healthy Laboratory, Department of Psychology, School of Public HealthSouthern Medical UniversityGuangzhouChina
- State Key Laboratory of Brain and Cognitive SciencesThe University of Hong KongHong KongSARChina
- Laboratory of Neuropsychology and Human NeuroscienceThe University of Hong KongHong KongSARChina
| | - Qian Li
- Cognitive Control and Brain Healthy Laboratory, Department of Psychology, School of Public HealthSouthern Medical UniversityGuangzhouChina
| | - Lanxin Peng
- Cognitive Control and Brain Healthy Laboratory, Department of Psychology, School of Public HealthSouthern Medical UniversityGuangzhouChina
| | - Haowei Dai
- Cognitive Control and Brain Healthy Laboratory, Department of Psychology, School of Public HealthSouthern Medical UniversityGuangzhouChina
| | - Jiayuan Zhang
- Cognitive Control and Brain Healthy Laboratory, Department of Psychology, School of Public HealthSouthern Medical UniversityGuangzhouChina
| | - Keyin Chen
- Cognitive Control and Brain Healthy Laboratory, Department of Psychology, School of Public HealthSouthern Medical UniversityGuangzhouChina
| | - Tatia M. C. Lee
- State Key Laboratory of Brain and Cognitive SciencesThe University of Hong KongHong KongSARChina
- Laboratory of Neuropsychology and Human NeuroscienceThe University of Hong KongHong KongSARChina
- Center for Brain Science and Brain‐Inspired IntelligenceGuangdong‐Hong Kong‐Macao Greater Bay AreaGuangzhouChina
| | - Ruibin Zhang
- Cognitive Control and Brain Healthy Laboratory, Department of Psychology, School of Public HealthSouthern Medical UniversityGuangzhouChina
- Department of Psychiatry, Zhujiang HospitalSouthern Medical UniversityGuangzhouPR China
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3
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Fisher JT, Hopp FR, Weber R. Cognitive and perceptual load have opposing effects on brain network efficiency and behavioral variability in ADHD. Netw Neurosci 2023; 7:1483-1496. [PMID: 38144687 PMCID: PMC10727773 DOI: 10.1162/netn_a_00336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 08/29/2023] [Indexed: 12/26/2023] Open
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is a highly prevalent neurodevelopmental disorder associated with suboptimal outcomes throughout the life-span. Extant work suggests that ADHD-related deficits in task performance may be magnified under high cognitive load and minimized under high perceptual load, but these effects have yet to be systematically examined, and the neural mechanisms that undergird these effects are as yet unknown. Herein, we report results from three experiments investigating how performance in ADHD is modulated by cognitive load and perceptual load during a naturalistic task. Results indicate that cognitive load and perceptual load influence task performance, reaction time variability (RTV), and brain network topology in an ADHD-specific fashion. Increasing cognitive load resulted in reduced performance, greater RTV, and reduced brain network efficiency in individuals with ADHD relative to those without. In contrast, increased perceptual load led to relatively greater performance, reduced RTV, and greater brain network efficiency in ADHD. These results provide converging evidence that brain network efficiency and intraindividual variability in ADHD are modulated by both cognitive and perceptual load during naturalistic task performance.
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Affiliation(s)
- Jacob T. Fisher
- Department of Communication, Michigan State University, East Lansing, MI, USA
| | - Frederic R. Hopp
- Amsterdam School of Communication Research, University of Amsterdam, Amsterdam, Netherlands
| | - René Weber
- Department of Communication, Media Neuroscience Lab, University of California Santa Barbara, Santa Barbara, CA, USA
- Department of Psychological and Brain Sciences, University of California Santa Barbara, Santa Barbara, CA, USA
- School of Communication and Media, Ewha Womans University, Seoul, South Korea
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Xie S, Liu J, Hu Y, Liu W, Ma C, Jin S, Zhang L, Kang Y, Ding Y, Zhang X, Hu Z, Cheng W, Yang Z. A normative model of brain responses to social scenarios reflects the maturity of children and adolescents' social-emotional abilities. Soc Cogn Affect Neurosci 2023; 18:nsad062. [PMID: 37930841 PMCID: PMC10649363 DOI: 10.1093/scan/nsad062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 07/19/2023] [Accepted: 10/24/2023] [Indexed: 11/08/2023] Open
Abstract
The rapid brain maturation in childhood and adolescence accompanies the development of socio-emotional functioning. However, it is unclear how the maturation of the neural activity drives the development of socio-emotional functioning and individual differences. This study aimed to reflect the age dependence of inter-individual differences in brain responses to socio-emotional scenarios and to develop naturalistic imaging indicators to assess the maturity of socio-emotional ability at the individual level. Using three independent naturalistic imaging datasets containing healthy participants (n = 111, 21 and 122), we found and validated that age-modulated inter-individual concordance of brain responses to socio-emotional movies in specific brain regions. The similarity of an individual's brain response to the average response of older participants was defined as response typicality, which predicted an individual's emotion regulation strategies in adolescence and theory of mind (ToM) in childhood. Its predictive power was not superseded by age, sex, cognitive performance or executive function. We further showed that the movie's valence and arousal ratings grounded the response typicality. The findings highlight that forming typical brain response patterns may be a neural phenotype underlying the maturation of socio-emotional ability. The proposed response typicality represents a neuroimaging approach to measure individuals' maturity of cognitive reappraisal and ToM.
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Affiliation(s)
- Shuqi Xie
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Jingjing Liu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Yang Hu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Wenjing Liu
- Department of Child and Adolescent Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 201108, China
| | - Changminghao Ma
- Department of Child and Adolescent Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 201108, China
| | - Shuyu Jin
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Lei Zhang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Yinzhi Kang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Yue Ding
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Xiaochen Zhang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Zhishan Hu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Wenhong Cheng
- Department of Child and Adolescent Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 201108, China
- Department of Psychological Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Zhi Yang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
- Institute of Psychological and Behavioral Science, Shanghai Jiao Tong University, Shanghai 200030, China
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100035, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100054, China
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Stuldreher IV, Maasland E, Bottenheft C, van Erp JBF, Brouwer AM. Physiological synchrony in electrodermal activity predicts decreased vigilant attention induced by sleep deprivation. Front Neuroergon 2023; 4:1199347. [PMID: 38234480 PMCID: PMC10790929 DOI: 10.3389/fnrgo.2023.1199347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 06/15/2023] [Indexed: 01/19/2024]
Abstract
Introduction When multiple individuals are presented with narrative movie or audio clips, their electrodermal activity (EDA) and heart rate show significant similarities. Higher levels of such inter-subject physiological synchrony are related with higher levels of attention toward the narrative, as for instance expressed by more correctly answered questions about the narrative. We here investigate whether physiological synchrony in EDA and heart rate during watching of movie clips predicts performance on a subsequent vigilant attention task among participants exposed to a night of total sleep deprivation. Methods We recorded EDA and heart rate of 54 participants during a night of total sleep deprivation. Every hour from 22:00 to 07:00 participants watched a 10-min movie clip during which we computed inter-subject physiological synchrony. Afterwards, they answered questions about the movie and performed the psychomotor vigilance task (PVT) to capture attentional performance. Results We replicated findings that inter-subject correlations in EDA and heart rate predicted the number of correct answers on questions about the movie clips. Furthermore, we found that inter-subject correlations in EDA, but not in heart rate, predicted PVT performance. Individuals' mean EDA and heart rate also predicted their PVT performance. For EDA, inter-subject correlations explained more variance of PVT performance than individuals' mean EDA. Discussion Together, these findings confirm the association between physiological synchrony and attention. Physiological synchrony in EDA does not only capture the attentional processing during the time that it is determined, but also proves valuable for capturing more general changes in the attentional state of monitored individuals.
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Affiliation(s)
- Ivo V. Stuldreher
- Human Performance, Netherlands Organisation for Applied Scientific Research (TNO), Soesterberg, Netherlands
- Human Media Interaction, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, Netherlands
| | - Emma Maasland
- Human Performance, Netherlands Organisation for Applied Scientific Research (TNO), Soesterberg, Netherlands
| | - Charelle Bottenheft
- Human Performance, Netherlands Organisation for Applied Scientific Research (TNO), Soesterberg, Netherlands
| | - Jan B. F. van Erp
- Human Media Interaction, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, Netherlands
- Human Machine Teaming, Netherlands Organisation for Applied Scientific Research (TNO), Soesterberg, Netherlands
| | - Anne-Marie Brouwer
- Human Performance, Netherlands Organisation for Applied Scientific Research (TNO), Soesterberg, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
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6
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Stuldreher IV, van Erp JBF, Brouwer AM. Robustness of Physiological Synchrony in Wearable Electrodermal Activity and Heart Rate as a Measure of Attentional Engagement to Movie Clips. Sensors (Basel) 2023; 23:3006. [PMID: 36991720 PMCID: PMC10058467 DOI: 10.3390/s23063006] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 03/01/2023] [Accepted: 03/06/2023] [Indexed: 06/19/2023]
Abstract
Individuals that pay attention to narrative stimuli show synchronized heart rate (HR) and electrodermal activity (EDA) responses. The degree to which this physiological synchrony occurs is related to attentional engagement. Factors that can influence attention, such as instructions, salience of the narrative stimulus and characteristics of the individual, affect physiological synchrony. The demonstrability of synchrony depends on the amount of data used in the analysis. We investigated how demonstrability of physiological synchrony varies with varying group size and stimulus duration. Thirty participants watched six 10 min movie clips while their HR and EDA were monitored using wearable sensors (Movisens EdaMove 4 and Wahoo Tickr, respectively). We calculated inter-subject correlations as a measure of synchrony. Group size and stimulus duration were varied by using data from subsets of the participants and movie clips in the analysis. We found that for HR, higher synchrony correlated significantly with the number of answers correct for questions about the movie, confirming that physiological synchrony is associated with attention. For both HR and EDA, with increasing amounts of data used, the percentage of participants with significant synchrony increased. Importantly, we found that it did not matter how the amount of data was increased. Increasing the group size or increasing the stimulus duration led to the same results. Initial comparisons with results from other studies suggest that our results do not only apply to our specific set of stimuli and participants. All in all, the current work can act as a guideline for future research, indicating the amount of data minimally needed for robust analysis of synchrony based on inter-subject correlations.
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Affiliation(s)
- Ivo V. Stuldreher
- Human Performance, Netherlands Organisation for Applied Scientific Research (TNO), 3769 DE Soesterberg, The Netherlands
- Human Media Interaction, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, 7522 NB Enschede, The Netherlands
| | - Jan B. F. van Erp
- Human Media Interaction, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, 7522 NB Enschede, The Netherlands
- Human Machine Teaming, Netherlands Organisation for Applied Scientific Research (TNO), 3769 DE Soesterberg, The Netherlands
| | - Anne-Marie Brouwer
- Human Performance, Netherlands Organisation for Applied Scientific Research (TNO), 3769 DE Soesterberg, The Netherlands
- Artificial Intelligence, Faculty of Social Sciences, Radboud University, Thomas van Aquinostraat 4, 6525 GD Nijmegen, The Netherlands
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Nan J, Balasubramani PP, Ramanathan D, Mishra J. Neural dynamics during emotional video engagement relate to anxiety. Front Hum Neurosci 2022; 16:993606. [PMID: 36438632 PMCID: PMC9691839 DOI: 10.3389/fnhum.2022.993606] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 10/27/2022] [Indexed: 04/07/2024] Open
Abstract
Inter-subject correlations (ISCs) of physiological data can reveal common stimulus-driven processing across subjects. ISC has been applied to passive video viewing in small samples to measure common engagement and emotional processing. Here, in a large sample study of healthy adults (N = 163) who watched an emotional film (The Lion Cage by Charlie Chaplin), we recorded electroencephalography (EEG) across participants and measured ISC in theta, alpha and beta frequency bands. Peak ISC on the emotionally engaging video was observed three-quarters into the film clip, during a time period which potentially elicited a positive emotion of relief. Peak ISC in all frequency bands was focused over centro-parietal electrodes localizing to superior parietal cortex. ISC in both alpha and beta frequencies had a significant inverse relationship with anxiety symptoms. Our study suggests that ISC measured during continuous non-event-locked passive viewing may serve as a useful marker for anxious mood.
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Affiliation(s)
- Jason Nan
- Neural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, San Diego, CA, United States
- Department of Bioengineering, University of California, San Diego, San Diego, CA, United States
| | - Pragathi P. Balasubramani
- Neural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, San Diego, CA, United States
- Department of Cognitive Science, Indian Institute of Technology Kanpur, Kanpur, India
| | - Dhakshin Ramanathan
- Neural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, San Diego, CA, United States
- Department of Mental Health, VA San Diego Medical Center, San Diego, CA, United States
- Center of Excellence for Stress and Mental Health, VA San Diego Medical Center, San Diego, CA, United States
| | - Jyoti Mishra
- Neural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, San Diego, CA, United States
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Pessin S, Walsh EC, Hoks RM, Birn RM, Abercrombie HC, Philippi CL. Resting-state neural signal variability in women with depressive disorders. Behav Brain Res 2022; 433:113999. [PMID: 35811000 PMCID: PMC9559753 DOI: 10.1016/j.bbr.2022.113999] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 06/15/2022] [Accepted: 07/05/2022] [Indexed: 11/21/2022]
Abstract
Aberrant activity and connectivity in default mode (DMN), frontoparietal (FPN), and salience (SN) network regions is well-documented in depression. Recent neuroimaging research suggests that altered variability in the blood oxygen level-dependent (BOLD) signal may disrupt normal network integration and be an important novel predictor of psychopathology. However, no studies have yet determined the relationship between resting-state BOLD signal variability and depressive disorders nor applied BOLD signal variability features to the classification of depression history using machine learning (ML). We collected resting-state fMRI data for 79 women with different depression histories: no history, past history, and current depressive disorder. We tested voxelwise differences in BOLD signal variability related to depression group and severity. We also investigated whether BOLD signal variability of DMN, FPN, and SN regions could predict depression history group using a supervised random forest ML model. Results indicated that individuals with any history of depression had significantly decreased BOLD signal variability in the left and right cerebellum and right parietal cortex (pFWE <0.05). Furthermore, greater depression severity was also associated with reduced BOLD signal variability in the cerebellum. A random forest model classified participant depression history with 74% accuracy, with the ventral anterior cingulate cortex of the DMN as the most important variable in the model. These findings provide novel support for resting-state BOLD signal variability as a marker of neural dysfunction in depression and implicate decreased neural signal variability in the pathophysiology of depression.
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Affiliation(s)
- Sally Pessin
- Department of Psychological Sciences, University of Missouri-St. Louis, 1 University Blvd., St. Louis, MO 63121, USA
| | - Erin C Walsh
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, CB# 7167, Chapel Hill, NC 27599, USA
| | - Roxanne M Hoks
- Center for Healthy Minds, University of Wisconsin-Madison, 625W. Washington Ave., Madison, WI 53703, USA
| | - Rasmus M Birn
- Department of Psychiatry, University of Wisconsin-Madison, 6001 Research Park Blvd., Madison, WI 53719, USA
| | - Heather C Abercrombie
- Center for Healthy Minds, University of Wisconsin-Madison, 625W. Washington Ave., Madison, WI 53703, USA
| | - Carissa L Philippi
- Department of Psychological Sciences, University of Missouri-St. Louis, 1 University Blvd., St. Louis, MO 63121, USA.
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Zhang Q, Li B, Jin S, Liu W, Liu J, Xie S, Zhang L, Kang Y, Ding Y, Zhang X, Cheng W, Yang Z. Comparing the Effectiveness of Brain Structural Imaging, Resting-state fMRI, and Naturalistic fMRI in Recognizing Social Anxiety Disorder in Children and Adolescents. Psychiatry Res Neuroimaging 2022; 323:111485. [PMID: 35567906 DOI: 10.1016/j.pscychresns.2022.111485] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 04/07/2022] [Accepted: 04/16/2022] [Indexed: 01/11/2023]
Abstract
Social anxiety disorder (SAD) is a common anxiety disorder in childhood and adolescence. Studies on SAD in adults have reported both structural and functional aberrancies of the brain at the group level. However, evidence has shown differences in anxiety-related brain abnormalities between adolescents and adults. Since children and adolescents can afford limited scan time, optimizing the scan tasks is essential for SAD research in children and adolescents. Thus, we need to address whether brain structure, resting-state fMRI, and naturalistic imaging enable individualized identification of SAD in children and adolescents, which measurement is more effective, and whether pooling multi-modal features can improve the identification of SAD. We comprehensively addressed these questions by building machine learning models based on parcel-wise brain features. We found that naturalistic fMRI yielded higher classification accuracy (69.17%) than the other modalities and the classification performance showed dependence on the contents of the movie. The classification models also identified contributing brain regions, some of which exhibited correlations with the symptoms scores of SAD. However, pooling brain features from the three modalities did not help enhance the classification accuracy. These results support the application of carefully designed naturalistic imaging in recognizing children and adolescents at risk of SAD.
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Affiliation(s)
- Qinjian Zhang
- School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China
| | - Baobin Li
- School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China
| | - Shuyu Jin
- Laboratory of Psychological Health and Imaging, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wenjing Liu
- Department of Child and Adolescent Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jingjing Liu
- Laboratory of Psychological Health and Imaging, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuqi Xie
- Laboratory of Psychological Health and Imaging, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lei Zhang
- Laboratory of Psychological Health and Imaging, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yinzhi Kang
- Laboratory of Psychological Health and Imaging, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yue Ding
- Laboratory of Psychological Health and Imaging, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaochen Zhang
- Laboratory of Psychological Health and Imaging, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wenhong Cheng
- Department of Child and Adolescent Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Zhi Yang
- Laboratory of Psychological Health and Imaging, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Institute of Psychological and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China.
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10
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Xue SW, Kuai C, Xiao Y, Zhao L, Lan Z. Abnormal Dynamic Functional Connectivity of the Left Rostral Hippocampus in Predicting Antidepressant Efficacy in Major Depressive Disorder. Psychiatry Investig 2022; 19:562-569. [PMID: 35903058 PMCID: PMC9334807 DOI: 10.30773/pi.2021.0386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 06/06/2022] [Indexed: 11/27/2022] Open
Abstract
OBJECTIVE Some pharmacological treatments are ineffective in parts of patients with major depressive disorder (MDD), hence this needs prediction of effective treatment responses. The study aims to examine the relationship between dynamic functional connectivity (dFC) of the hippocampal subregion and antidepressant improvement of MDD patients and to estimate the capability of dFC to predict antidepressant efficacy. METHODS The data were from 70 MDD patients and 43 healthy controls (HC); the dFC of hippocampal subregions was estimated by sliding-window approach based on resting-state functional magnetic resonance imaging (R-fMRI). After 3 months treatment, 36 patients underwent second R-fMRI scan and were then divided into the response group and non-response group according to clinical responses. RESULTS The result manifested that MDD patients exhibited lower mean dFC of the left rostral hippocampus (rHipp.l) compared with HC. After 3 months therapy, the response group showed lower dFC of rHipp.l compared with the non-response group. The dFC of rHipp.l was also negatively correlated with the reduction rate of Hamilton Depression Rating Scale. CONCLUSION These findings highlighted the importance of rHipp in MDD from the dFC perspective. Detection and estimation of these changes might demonstrate helpful for comprehending the pathophysiological mechanism and for assessment of treatment reaction of MDD.
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Affiliation(s)
- Shao-Wei Xue
- Center for Cognition and Brain Disorders, The Affiliated Hospital and Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China
| | - Changxiao Kuai
- Center for Cognition and Brain Disorders, The Affiliated Hospital and Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China.,Jing Hengyi School of Education, Hangzhou Normal University, Hangzhou, China
| | - Yang Xiao
- Center for Cognition and Brain Disorders, The Affiliated Hospital and Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China.,Jing Hengyi School of Education, Hangzhou Normal University, Hangzhou, China
| | - Lei Zhao
- Center for Cognition and Brain Disorders, The Affiliated Hospital and Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China
| | - Zhihui Lan
- Center for Cognition and Brain Disorders, The Affiliated Hospital and Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China.,Jing Hengyi School of Education, Hangzhou Normal University, Hangzhou, China
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11
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Gruskin DC, Patel GH. Brain connectivity at rest predicts individual differences in normative activity during movie watching. Neuroimage 2022; 253:119100. [PMID: 35304263 PMCID: PMC9491116 DOI: 10.1016/j.neuroimage.2022.119100] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 03/11/2022] [Accepted: 03/14/2022] [Indexed: 12/19/2022] Open
Abstract
When exposed to the same sensory event, some individuals are bound to have less typical experiences than others. Previous research has investigated this phenomenon by showing that the typicality of one's sensory experience is associated with the typicality of their stimulus-evoked brain activity (as measured by intersubject correlation, or ISC). Individual differences in ISC have recently been attributed to variability in focal neural processing. However, the extent to which these differences reflect purely intra-regional variability versus variation in the brain's baseline ability to transmit information between regions has yet to be established. Here, we show that an individual's degree and spatial distribution of ISC are closely related to their brain's functional organization at rest. Using resting state and movie watching fMRI data from the Human Connectome Project, we reveal that resting state functional connectivity (RSFC) profiles can be used to predict cortex-wide ISC. Similar region-level analyses demonstrate that the levels of ISC exhibited by brain regions during movie watching are associated with their connectivity to other regions at rest, and that the nature of these connectivity-activity relationships varies as a function of regional roles in sensory information processing. Finally, we show that an individual's unique spatial distribution of ISC, independent of its magnitude, is also related to their RSFC profile. These findings contextualize reports of localized individual differences in ISC as potentially reflecting larger, network-level alterations in resting brain function and detail how the brain's ability to process complex sensory information is linked to its baseline functional organization.
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Affiliation(s)
- David C Gruskin
- Medical Scientist Training Program, Columbia University Irving Medical Center, NY 10032, USA.
| | - Gaurav H Patel
- New York State Psychiatric Institute, NY 10032, USA; Department of Psychiatry, Columbia University Irving Medical Center, NY 10032, USA.
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12
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Mishra S, Srinivasan N, Tiwary US. Cardiac–Brain Dynamics Depend on Context Familiarity and Their Interaction Predicts Experience of Emotional Arousal. Brain Sci 2022; 12:702. [PMID: 35741588 PMCID: PMC9220998 DOI: 10.3390/brainsci12060702] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 05/21/2022] [Accepted: 05/24/2022] [Indexed: 02/04/2023] Open
Abstract
Our brain continuously interacts with the body as we engage with the world. Although we are mostly unaware of internal bodily processes, such as our heartbeats, they may be influenced by and in turn influence our perception and emotional feelings. Although there is a recent focus on understanding cardiac interoceptive activity and interaction with brain activity during emotion processing, the investigation of cardiac–brain interactions with more ecologically valid naturalistic emotional stimuli is still very limited. We also do not understand how an essential aspect of emotions, such as context familiarity, influences affective feelings and is linked to statistical interaction between cardiac and brain activity. Hence, to answer these questions, we designed an exploratory study by recording ECG and EEG signals for the emotional events while participants were watching emotional movie clips. Participants also rated their familiarity with the stimulus on the familiarity scale. Linear mixed effect modelling was performed in which the ECG power and familiarity were considered as predictors of EEG power. We focused on three brain regions, including prefrontal (PF), frontocentral (FC) and parietooccipital (PO). The analyses showed that the interaction between the power of cardiac activity in the mid-frequency range and the power in specific EEG bands is dependent on familiarity, such that the interaction is stronger with high familiarity. In addition, the results indicate that arousal is predicted by cardiac–brain interaction, which also depends on familiarity. The results support emotional theories that emphasize context dependency and interoception. Multimodal studies with more realistic stimuli would further enable us to understand and predict different aspects of emotional experience.
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13
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Camacho MC, Williams EM, Balser D, Kamojjala R, Sekar N, Steinberger D, Yarlagadda S, Perlman SB, Barch DM. EmoCodes: a Standardized Coding System for Socio-emotional Content in Complex Video Stimuli. Affect Sci 2022; 3:168-181. [PMID: 36046099 PMCID: PMC9383008 DOI: 10.1007/s42761-021-00100-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 12/21/2021] [Indexed: 06/10/2023]
Abstract
UNLABELLED Social information processing is vital for inferring emotional states in others, yet affective neuroscience has only begun to scratch the surface of how we represent emotional information in the brain. Most previous affective neuroscience work has used isolated stimuli such as static images of affective faces or scenes to probe affective processing. While this work has provided rich insight to the initial stages of emotion processing (encoding cues), activation to isolated stimuli provides limited insight into later phases of emotion processing such as interpretation of cues or interactions between cues and established cognitive schemas. Recent work has highlighted the potential value of using complex video stimuli to probe socio-emotional processing, highlighting the need to develop standardized video coding schemas as this exciting field expands. Toward that end, we present a standardized and open-source coding system for complex videos, two fully coded videos, and a video and code processing Python library. The EmoCodes manual coding system provides an externally validated and replicable system for coding complex cartoon stimuli, with future plans to validate the system for other video types. The emocodes Python library provides automated tools for extracting low-level features from video files as well as tools for summarizing and analyzing the manual codes for suitability of use in neuroimaging analysis. Materials can be freely accessed at https://emocodes.org/. These tools represent an important step toward replicable and standardized study of socio-emotional processing using complex video stimuli. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s42761-021-00100-7.
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Affiliation(s)
- M. Catalina Camacho
- Department of Psychological and Brain Sciences, Washington University in St. Louis, One Brookings Drive, St. Louis, MO 63130 USA
| | - Elizabeth M. Williams
- Department of Psychological and Brain Sciences, Washington University in St. Louis, One Brookings Drive, St. Louis, MO 63130 USA
| | - Dori Balser
- Department of Psychological and Brain Sciences, Washington University in St. Louis, One Brookings Drive, St. Louis, MO 63130 USA
| | - Ruchika Kamojjala
- Department of Psychological and Brain Sciences, Washington University in St. Louis, One Brookings Drive, St. Louis, MO 63130 USA
| | - Nikhil Sekar
- Department of Psychological and Brain Sciences, Washington University in St. Louis, One Brookings Drive, St. Louis, MO 63130 USA
| | - David Steinberger
- Department of Psychological and Brain Sciences, Washington University in St. Louis, One Brookings Drive, St. Louis, MO 63130 USA
| | - Sishir Yarlagadda
- Department of Psychological and Brain Sciences, Washington University in St. Louis, One Brookings Drive, St. Louis, MO 63130 USA
| | - Susan B. Perlman
- Department of Psychiatry, Washington University in St. Louis, 4444 Forest Park Drive, MO 63110 St. Louis, USA
| | - Deanna M. Barch
- Department of Psychological and Brain Sciences, Washington University in St. Louis, One Brookings Drive, St. Louis, MO 63130 USA
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14
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Abstract
The so-called resting state, in which participants lie quietly with no particular inputs or outputs, represented a paradigm shift from conventional task-based studies in human neuroimaging. Our foray into rest was fruitful from both a scientific and methodological perspective, but at this point, how much more can we learn from rest on its own? While rest still dominates in many subfields, data from tasks have empirically demonstrated benefits, as well as the potential to provide insights about the mind in addition to the brain. I argue that we can accelerate progress in human neuroscience by de-emphasizing rest in favor of more grounded experiments, including promising integrated designs that respect the prominence of self-generated activity while offering enhanced control and interpretability.
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Affiliation(s)
- Emily S Finn
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH 03755, USA.
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15
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Li X, Zhu Y, Vuoriainen E, Ye C, Astikainen P. Decreased intersubject synchrony in dynamic valence ratings of sad movie contents in dysphoric individuals. Sci Rep 2021; 11:14419. [PMID: 34257384 PMCID: PMC8277793 DOI: 10.1038/s41598-021-93825-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 06/30/2021] [Indexed: 02/06/2023] Open
Abstract
Emotional reactions to movies are typically similar between people. However, depressive symptoms decrease synchrony in brain responses. Less is known about the effect of depressive symptoms on intersubject synchrony in conscious stimulus-related processing. In this study, we presented amusing, sad and fearful movie clips to dysphoric individuals (those with elevated depressive symptoms) and control participants to dynamically rate the clips' valences (positive vs. negative). We analysed both the valence ratings' mean values and intersubject correlation (ISC). We used electrodermal activity (EDA) to complement the measurement in a separate session. There were no group differences in either the EDA or mean valence rating values for each movie type. As expected, the valence ratings' ISC was lower in the dysphoric than the control group, specifically for the sad movie clips. In addition, there was a negative relationship between the valence ratings' ISC and depressive symptoms for sad movie clips in the full sample. The results are discussed in the context of the negative attentional bias in depression. The findings extend previous brain activity results of ISC by showing that depressive symptoms also increase variance in conscious ratings of valence of stimuli in a mood-congruent manner.
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Affiliation(s)
- Xueqiao Li
- grid.9681.60000 0001 1013 7965Department of Psychology, University of Jyvaskyla, P.O. Box 35, 40014 Jyväskylä, Finland
| | - Yongjie Zhu
- grid.7737.40000 0004 0410 2071Department of Computer Science, University of Helsinki, 00014 Helsinki, Finland
| | - Elisa Vuoriainen
- grid.502801.e0000 0001 2314 6254Human Information Processing Laboratory, Faculty of Social Sciences/Psychology, Tampere University, 33014 Tampere, Finland
| | - Chaoxiong Ye
- grid.9681.60000 0001 1013 7965Department of Psychology, University of Jyvaskyla, P.O. Box 35, 40014 Jyväskylä, Finland ,grid.412600.10000 0000 9479 9538Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, 610000 China
| | - Piia Astikainen
- grid.9681.60000 0001 1013 7965Department of Psychology, University of Jyvaskyla, P.O. Box 35, 40014 Jyväskylä, Finland
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16
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Shan X, Cui X, Liu F, Li H, Huang R, Tang Y, Chen J, Zhao J, Guo W, Xie G. Shared and distinct homotopic connectivity changes in melancholic and non-melancholic depression. J Affect Disord 2021; 287:268-75. [PMID: 33799047 DOI: 10.1016/j.jad.2021.03.038] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2020] [Revised: 03/10/2021] [Accepted: 03/15/2021] [Indexed: 11/21/2022]
Abstract
OBJECTIVE Previous studies have revealed different neuroimaging features between melancholic and non-melancholic major depressive disorder (MDD). However, homotopic connectivity of melancholic and non-melancholic MDD remains unknown. The present study aimed to explore common and distinct homotopic connectivity patterns of melancholic and non-melancholic MDD and their associations with clinical characteristics. METHODS Sixty-four patients with MDD and thirty-two healthy controls were scanned by resting-state functional magnetic resonance imaging (fMRI). Voxel-mirrored homotopic connectivity (VMHC) and pattern classification were applied to analyze the imaging data. RESULTS Relative to healthy controls, melancholic patients displayed decreased VMHC in the fusiform gyrus, posterior cingulate cortex (PCC), superior occipital gyrus (SOG), postcentral gyrus and precentral/postcentral gyrus, and non-melancholic patients displayed decreased VMHC in the PCC. Compared with non-melancholic patients, melancholic patients displayed reduced VMHC in the precentral gyrus and precentral/postcentral gyrus. Support vector machine (SVM) results exhibited VMHC in the precentral gyrus could distinguish melancholic patients from non-melancholic patients with more than 0.6 for specificity, sensitivity and accuracy. CONCLUSION The study demonstrated common and distinct homotopic connectivity patterns in melancholic and non-melancholic patients. Decreased VMHC in the PCC may be a state-related change for depression, and reduced VMHC in the precentral gyrus and postcentral gyrus may be a distinctive neurobiological feature for melancholic MDD. VMHC in precentral gyrus might be served as potential imaging markers to discriminate melancholic patients from non-melancholic MDD.
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17
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Abstract
The default mode network (DMN) is classically considered an 'intrinsic' system, specializing in internally oriented cognitive processes such as daydreaming, reminiscing and future planning. In this Perspective, we suggest that the DMN is an active and dynamic 'sense-making' network that integrates incoming extrinsic information with prior intrinsic information to form rich, context-dependent models of situations as they unfold over time. We review studies that relied on naturalistic stimuli, such as stories and movies, to demonstrate how an individual's DMN neural responses are influenced both by external information accumulated as events unfold over time and by the individual's idiosyncratic past memories and knowledge. The integration of extrinsic and intrinsic information over long timescales provides a space for negotiating a shared neural code, which is necessary for establishing shared meaning, shared communication tools, shared narratives and, above all, shared communities and social networks.
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Affiliation(s)
- Yaara Yeshurun
- School of Psychological Sciences, Tel-Aviv University, Tel-Aviv, Israel.
- Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel.
| | - Mai Nguyen
- School of Psychological Sciences, Tel-Aviv University, Tel-Aviv, Israel
- Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel
- Department of Psychology, Princeton University, Princeton, NJ, USA
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA
| | - Uri Hasson
- School of Psychological Sciences, Tel-Aviv University, Tel-Aviv, Israel.
- Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel.
- Department of Psychology, Princeton University, Princeton, NJ, USA.
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
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18
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Regonia PR, Takamura M, Nakano T, Ichikawa N, Fermin A, Okada G, Okamoto Y, Yamawaki S, Ikeda K, Yoshimoto J. Modeling Heterogeneous Brain Dynamics of Depression and Melancholia Using Energy Landscape Analysis. Front Psychiatry 2021; 12:780997. [PMID: 34899435 PMCID: PMC8656401 DOI: 10.3389/fpsyt.2021.780997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 11/01/2021] [Indexed: 11/13/2022] Open
Abstract
Our current understanding of melancholic depression is shaped by its position in the depression spectrum. The lack of consensus on how it should be treated-whether as a subtype of depression, or as a distinct disorder altogethe-interferes with the recovery of suffering patients. In this study, we analyzed brain state energy landscape models of melancholic depression, in contrast to healthy and non-melancholic energy landscapes. Our analyses showed significant group differences on basin energy, basin frequency, and transition dynamics in several functional brain networks such as basal ganglia, dorsal default mode, and left executive control networks. Furthermore, we found evidences suggesting the connection between energy landscape characteristics (basin characteristics) and depressive symptom scores (BDI-II and SHAPS). These results indicate that melancholic depression is distinguishable from its non-melancholic counterpart, not only in terms of depression severity, but also in brain dynamics.
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Affiliation(s)
- Paul Rossener Regonia
- Division of Information Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma, Japan.,Department of Computer Science, College of Engineering, University of the Philippines Diliman, Quezon City, Philippines
| | - Masahiro Takamura
- Center for Brain, Mind and KANSEI Research Sciences, Hiroshima University, Hiroshima, Japan.,Department of Neurology, Faculty of Medicine, Shimane University, Izumo, Japan
| | - Takashi Nakano
- Division of Information Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma, Japan.,School of Medicine, Fujita Health University, Toyoake, Japan
| | - Naho Ichikawa
- Center for Brain, Mind and KANSEI Research Sciences, Hiroshima University, Hiroshima, Japan
| | - Alan Fermin
- Center for Brain, Mind and KANSEI Research Sciences, Hiroshima University, Hiroshima, Japan
| | - Go Okada
- Department of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, Japan
| | - Yasumasa Okamoto
- Center for Brain, Mind and KANSEI Research Sciences, Hiroshima University, Hiroshima, Japan.,Department of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, Japan
| | - Shigeto Yamawaki
- Center for Brain, Mind and KANSEI Research Sciences, Hiroshima University, Hiroshima, Japan
| | - Kazushi Ikeda
- Division of Information Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma, Japan
| | - Junichiro Yoshimoto
- Division of Information Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma, Japan
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19
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Zhang A, Farivar R. Intersubject Spatial Pattern Correlations During Movie Viewing Are Stimulus-Driven and Nonuniform Across the Cortex. Cereb Cortex Commun 2020; 1:tgaa076. [PMID: 33251511 PMCID: PMC7679429 DOI: 10.1093/texcom/tgaa076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 10/07/2020] [Accepted: 10/07/2020] [Indexed: 11/16/2022] Open
Abstract
A fundamental step to predicting brain activity in healthy and diseased populations is characterizing the common spatio-temporal response to a shared experience. Multivoxel pattern analysis allows us to investigate information encoding through these patterns; however, we have yet to explore local, stimulus-driven, patterns of cortical activity during naturalistic stimulation. We sought to examine these patterns with minimum interpolation—excluding functional alignment—to characterize the most basic degree of shared response between subjects. We used an unbiased analytic approach, combined with rich, naturalistic, and nonsemantic stimulation to estimate shared spatial patterns in functional magnetic resonance imaging responses across a large group. We found that meso-scale spatial patterns were shared nonuniformly across the visual cortex and represent information distinct from the shared temporal response. Shared spatial patterns were stimulus-driven, modulated by pattern size, and more sensitive to the contrast of 3D versus 2D stimulus differences than the temporal signals. Although the grand functional structure of the brain is understood to be common, these results suggest that even at a meso-scale, we share common spatial structures with anatomical alignment alone. The strength of this similarity varies across the cortex, suggesting some spatial structures are innately organized, whereas others are shaped by factors such as learning and plasticity.
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Affiliation(s)
- Angela Zhang
- Department of Ophthalmology and Visual Sciences, McGill University, Montreal H3G 1A4, Canada
| | - Reza Farivar
- Department of Ophthalmology and Visual Sciences, McGill University, Montreal H3G 1A4, Canada
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20
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Chen G, Taylor PA, Qu X, Molfese PJ, Bandettini PA, Cox RW, Finn ES. Untangling the relatedness among correlations, part III: Inter-subject correlation analysis through Bayesian multilevel modeling for naturalistic scanning. Neuroimage 2020; 216:116474. [PMID: 31884057 PMCID: PMC7299750 DOI: 10.1016/j.neuroimage.2019.116474] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Revised: 12/06/2019] [Accepted: 12/17/2019] [Indexed: 01/21/2023] Open
Abstract
While inter-subject correlation (ISC) analysis is a powerful tool for naturalistic scanning data, drawing appropriate statistical inferences is difficult due to the daunting task of accounting for the intricate relatedness in data structure as well as handling the multiple testing issue. Although the linear mixed-effects (LME) modeling approach (Chen et al., 2017a) is capable of capturing the relatedness in the data and incorporating explanatory variables, there are a few challenging issues: 1) it is difficult to assign accurate degrees of freedom for each testing statistic, 2) multiple testing correction is potentially over-penalizing due to model inefficiency, and 3) thresholding necessitates arbitrary dichotomous decisions. Here we propose a Bayesian multilevel (BML) framework for ISC data analysis that integrates all regions of interest into one model. By loosely constraining the regions through a weakly informative prior, BML dissolves multiplicity through conservatively pooling the effect of each region toward the center and improves collective fitting and overall model performance. In addition to potentially achieving a higher inference efficiency, BML improves spatial specificity and easily allows the investigator to adopt a philosophy of full results reporting. A dataset of naturalistic scanning is utilized to illustrate the modeling approach with 268 parcels and to showcase the modeling capability, flexibility and advantages in results reporting. The associated program will be available as part of the AFNI suite for general use.
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Affiliation(s)
- Gang Chen
- Scientific and Statistical Computing Core, National Institute of Mental Health, USA.
| | - Paul A Taylor
- Scientific and Statistical Computing Core, National Institute of Mental Health, USA
| | - Xianggui Qu
- Department of Mathematics and Statistics, Oakland University, USA
| | - Peter J Molfese
- Section on Functional Imaging Methods, National Institute of Mental Health, USA
| | - Peter A Bandettini
- Section on Functional Imaging Methods, National Institute of Mental Health, USA
| | - Robert W Cox
- Scientific and Statistical Computing Core, National Institute of Mental Health, USA
| | - Emily S Finn
- Section on Functional Imaging Methods, National Institute of Mental Health, USA
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21
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Finn ES, Glerean E, Khojandi AY, Nielson D, Molfese PJ, Handwerker DA, Bandettini PA. Idiosynchrony: From shared responses to individual differences during naturalistic neuroimaging. Neuroimage 2020; 215:116828. [PMID: 32276065 PMCID: PMC7298885 DOI: 10.1016/j.neuroimage.2020.116828] [Citation(s) in RCA: 120] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Revised: 04/02/2020] [Accepted: 04/02/2020] [Indexed: 01/07/2023] Open
Abstract
Two ongoing movements in human cognitive neuroscience have researchers shifting focus from group-level inferences to characterizing single subjects, and complementing tightly controlled tasks with rich, dynamic paradigms such as movies and stories. Yet relatively little work combines these two, perhaps because traditional analysis approaches for naturalistic imaging data are geared toward detecting shared responses rather than between-subject variability. Here, we review recent work using naturalistic stimuli to study individual differences, and advance a framework for detecting structure in idiosyncratic patterns of brain activity, or "idiosynchrony". Specifically, we outline the emerging technique of inter-subject representational similarity analysis (IS-RSA), including its theoretical motivation and an empirical demonstration of how it recovers brain-behavior relationships during movie watching using data from the Human Connectome Project. We also consider how stimulus choice may affect the individual signal and discuss areas for future research. We argue that naturalistic neuroimaging paradigms have the potential to reveal meaningful individual differences above and beyond those observed during traditional tasks or at rest.
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Affiliation(s)
- Emily S Finn
- Section on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD, USA.
| | - Enrico Glerean
- Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland
| | - Arman Y Khojandi
- Section on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD, USA
| | - Dylan Nielson
- Mood Brain & Development Unit, National Institute of Mental Health, Bethesda, MD, USA
| | - Peter J Molfese
- Section on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD, USA
| | - Daniel A Handwerker
- Section on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD, USA
| | - Peter A Bandettini
- Section on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD, USA
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22
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Long X, Kar P, Gibbard B, Tortorelli C, Lebel C. The brain's functional connectome in young children with prenatal alcohol exposure. Neuroimage Clin 2019; 24:102082. [PMID: 31795047 PMCID: PMC6889793 DOI: 10.1016/j.nicl.2019.102082] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Revised: 10/30/2019] [Accepted: 11/06/2019] [Indexed: 11/18/2022]
Abstract
We used fMRI to study young children with prenatal alcohol exposure (PAE). We measured the functional connectome and its stability within and across participants. The PAE group had similar graph theory metrics to controls. The PAE group, but not controls, had increasing intra-participant stability with age. Controls, but not the PAE group, had increasing inter-participant stability with age.
Prenatal alcohol exposure (PAE) can lead to altered brain function and structure, as well as lifelong cognitive, behavioral, and mental health difficulties. Previous research has shown reduced brain network efficiency in older children and adolescents with PAE, but no imaging studies have examined brain differences in young children with PAE, at an age when cognitive and behavioral problems often first become apparent. The present study aimed to investigate the brain's functional connectome in young children with PAE using passive viewing fMRI. We analyzed 34 datasets from 26 children with PAE aged 2–7 years and 215 datasets from 87 unexposed typically-developing children in the same age range. The whole brain functional connectome was constructed using functional connectivity analysis across 90 regions for each dataset. We examined intra- and inter-participant stability of the functional connectome, graph theoretical measurements, and their correlations with age. Children with PAE had similar inter- and intra-participant stability to controls. However, children with PAE, but not controls, showed increasing intra-participant stability with age, suggesting a lack of variability of intrinsic brain activity over time. Inter-participant stability increased with age in controls but not in children with PAE, indicating more variability of brain function across the PAE population. Global graph metrics were similar between children with PAE and controls, in line with previous studies in older children. This study characterizes the functional connectome in young children with PAE for the first time, suggesting that the increased brain variability seen in older children develops early in childhood, when participants with PAE fail to show the expected age-related increases in inter-individual stability.
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Affiliation(s)
- Xiangyu Long
- Alberta Children's Hospital, 28 Oki Drive NW, Calgary T3B6A8, AB, Canada; Alberta Children's Hospital Research Institute, Canada; Hotchkiss Brain Institute, Canada
| | - Preeti Kar
- Alberta Children's Hospital Research Institute, Canada; Hotchkiss Brain Institute, Canada
| | - Ben Gibbard
- Alberta Children's Hospital Research Institute, Canada; Department of Pediatrics, University of Calgary, Canada
| | | | - Catherine Lebel
- Alberta Children's Hospital, 28 Oki Drive NW, Calgary T3B6A8, AB, Canada; Alberta Children's Hospital Research Institute, Canada; Hotchkiss Brain Institute, Canada.
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23
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Gruskin DC, Rosenberg MD, Holmes AJ. Relationships between depressive symptoms and brain responses during emotional movie viewing emerge in adolescence. Neuroimage 2019; 216:116217. [PMID: 31628982 DOI: 10.1016/j.neuroimage.2019.116217] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Revised: 08/14/2019] [Accepted: 09/19/2019] [Indexed: 02/06/2023] Open
Abstract
Affective disorders such as major depression are common but serious illnesses characterized by altered processing of emotional information. Although the frequency and severity of depressive symptoms increase dramatically over the course of childhood and adolescence, much of our understanding of their neurobiological bases comes from work characterizing adults' responses to static emotional information. As a consequence, relationships between depressive brain phenotypes and naturalistic emotional processing, as well as the manner in which these associations emerge over the lifespan, remain poorly understood. Here, we apply static and dynamic inter-subject correlation analyses to examine how brain function is associated with clinical and non-clinical depressive symptom severity in 112 children and adolescents (7-21 years old) who viewed an emotionally evocative clip from the film Despicable Me during functional MRI. Our results reveal that adolescents with greater depressive symptom severity exhibit atypical fMRI responses during movie viewing, and that this effect is stronger during less emotional moments of the movie. Furthermore, adolescents with more similar item-level depressive symptom profiles showed more similar brain responses during movie viewing. In contrast, children's depressive symptom severity and profiles were unrelated to their brain response typicality or similarity. Together, these results indicate a developmental change in the relationships between brain function and depressive symptoms from childhood through adolescence. Our findings suggest that depressive symptoms may shape how the brain responds to complex emotional information in a dynamic manner sensitive to both developmental stage and affective context.
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Affiliation(s)
- David C Gruskin
- Department of Psychology, Yale University, New Haven, CT, 06520, USA.
| | - Monica D Rosenberg
- Department of Psychology, Yale University, New Haven, CT, 06520, USA; Department of Psychology, University of Chicago, Chicago, IL, 60637, USA.
| | - Avram J Holmes
- Department of Psychology, Yale University, New Haven, CT, 06520, USA; Department of Psychiatry, Yale University, New Haven, CT, 06520, USA.
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24
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Tu PC, Su TP, Lin WC, Chang WC, Bai YM, Li CT, Lin FH. Reduced synchronized brain activity in schizophrenia during viewing of comedy movies. Sci Rep 2019; 9:12738. [PMID: 31484998 PMCID: PMC6726596 DOI: 10.1038/s41598-019-48957-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Accepted: 08/09/2019] [Indexed: 11/24/2022] Open
Abstract
Previous evaluation of brain function in schizophrenia has focused on standard experimental tasks, with cerebral response to natural stimuli less clear. This study employed inter-subject correlation (ISC) analysis to investigate the neural basis of humor processing during free viewing of comedy movies in patients with schizophrenia. We recruited 29 patients diagnosed with schizophrenia and 29 healthy, age- and sex-matched controls. Each participant underwent fMRI scanning during two viewings of three comedy movie clips. The ISC map from each participant pair within each population group and each movie viewing was separately derived. The significance of ISC within a group and between two groups were assessed by bootstrapping. The ISC map from each patient pair were also correlated with the product of Positive and Negative Syndrome Scale (PANSS) rating between the same participant pair in schizophrenia patients. Schizophrenia patients showed significant ISC in bilateral lateraloccipital, bilateral superior frontal, left supramarginal, and right lateralorbiofrontal cortices. Compared with the controls, the schizophrenia group exhibited significantly lower ISC in the left superior temporal sulcus, bilateral supramarginal, and bilateral inferiorparietal cortices. Higher clinical severity (higher total PANSS rating) was associated with lower ISC in the middle frontal and middle temporal regions, and also higher ISC in the visual cortex, inferior temporal gyrus, and anterior cingulate. The findings indicated that patients with schizophrenia are characterized by lower ISC in a frontal parietal network while viewing comedy film clips, which implicated a deficit in the cognitive component of humor processing. The lower synchronization in parts of the frontal parietal network also correlated with symptom severity.
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Affiliation(s)
- Pei-Chi Tu
- Department of Medical Research, Taipei Veterans General Hospital, Taipei, 112, Taiwan.,Department of Psychiatry, Taipei Veterans General Hospital, Taipei, 112, Taiwan.,Institute of Philosophy of Mind and Cognition, National Yang-Ming University, Taipei, Taiwan.,Department of Psychiatry, Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Tung-Ping Su
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, 112, Taiwan.,Department of Psychiatry, Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan.,Department of Psychiatry, Cheng Hsin General Hospital, Taipei, Taiwan.,Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan
| | - Wei-Chen Lin
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, 112, Taiwan.,Department of Psychiatry, Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan.,Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan
| | - Wan-Chen Chang
- Department of Medical Research, Taipei Veterans General Hospital, Taipei, 112, Taiwan.,Department of Psychiatry, Taipei Veterans General Hospital, Taipei, 112, Taiwan
| | - Ya-Mei Bai
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, 112, Taiwan.,Department of Psychiatry, Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan.,Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan
| | - Cheng-Ta Li
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, 112, Taiwan.,Department of Psychiatry, Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan.,Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan
| | - Fa-Hsuan Lin
- Department of Medical Biophysics, University of Toronto, Toronto, Canada. .,Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland.
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25
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Affiliation(s)
- Murad Sultanov
- Laboratory of Ecological Toxicology A.I.Qaraev Institute of Physiology, Azerbaijan National Academy of Sciences Baku Azerbaijan
| | - Khadidja İsmailova
- Laboratory of Ecological Toxicology A.I.Qaraev Institute of Physiology, Azerbaijan National Academy of Sciences Baku Azerbaijan
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26
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Perry A, Roberts G, Mitchell PB, Breakspear M. Connectomics of bipolar disorder: a critical review, and evidence for dynamic instabilities within interoceptive networks. Mol Psychiatry 2019; 24:1296-1318. [PMID: 30279458 PMCID: PMC6756092 DOI: 10.1038/s41380-018-0267-2] [Citation(s) in RCA: 77] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2018] [Revised: 08/14/2018] [Accepted: 09/07/2018] [Indexed: 12/31/2022]
Abstract
The notion that specific cognitive and emotional processes arise from functionally distinct brain regions has lately shifted toward a connectivity-based approach that emphasizes the role of network-mediated integration across regions. The clinical neurosciences have likewise shifted from a predominantly lesion-based approach to a connectomic paradigm-framing disorders as diverse as stroke, schizophrenia (SCZ), and dementia as "dysconnection syndromes". Here we position bipolar disorder (BD) within this paradigm. We first summarise the disruptions in structural, functional and effective connectivity that have been documented in BD. Not surprisingly, these disturbances show a preferential impact on circuits that support emotional processes, cognitive control and executive functions. Those at high risk (HR) for BD also show patterns of connectivity that differ from both matched control populations and those with BD, and which may thus speak to neurobiological markers of both risk and resilience. We highlight research fields that aim to link brain network disturbances to the phenotype of BD, including the study of large-scale brain dynamics, the principles of network stability and control, and the study of interoception (the perception of physiological states). Together, these findings suggest that the affective dysregulation of BD arises from dynamic instabilities in interoceptive circuits which subsequently impact on fear circuitry and cognitive control systems. We describe the resulting disturbance as a "psychosis of interoception".
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Affiliation(s)
- Alistair Perry
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia. .,Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin/London, Germany. .,Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, 14195, Berlin, Germany.
| | - Gloria Roberts
- 0000 0004 4902 0432grid.1005.4School of Psychiatry, University of New South Wales, Randwick, NSW Australia ,grid.415193.bBlack Dog Institute, Prince of Wales Hospital, Randwick, NSW Australia
| | - Philip B. Mitchell
- 0000 0004 4902 0432grid.1005.4School of Psychiatry, University of New South Wales, Randwick, NSW Australia ,grid.415193.bBlack Dog Institute, Prince of Wales Hospital, Randwick, NSW Australia
| | - Michael Breakspear
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia. .,Metro North Mental Health Service, Brisbane, QLD, Australia.
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27
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Ren Y, Nguyen VT, Sonkusare S, Lv J, Pang T, Guo L, Eickhoff SB, Breakspear M, Guo CC. Effective connectivity of the anterior hippocampus predicts recollection confidence during natural memory retrieval. Nat Commun 2018; 9:4875. [PMID: 30451864 PMCID: PMC6242820 DOI: 10.1038/s41467-018-07325-4] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2018] [Accepted: 10/26/2018] [Indexed: 11/25/2022] Open
Abstract
Human interactions with the world are influenced by memories of recent events. This effect, often triggered by perceptual cues, occurs naturally and without conscious effort. However, the neuroscience of involuntary memory in a dynamic milieu has received much less attention than the mechanisms of voluntary retrieval with deliberate purpose. Here, we investigate the neural processes driven by naturalistic cues that relate to, and presumably trigger the retrieval of recent experiences. Viewing the continuation of recently viewed clips evokes greater bilateral activation in anterior hippocampus, precuneus and angular gyrus than naïve clips. While these regions manifest reciprocal connectivity, continued viewing specifically modulates the effective connectivity from the anterior hippocampus to the precuneus. The strength of this modulation predicts participants' confidence in later voluntary recall of news details. Our study reveals network mechanisms of dynamic, involuntary memory retrieval and its relevance to metacognition in a rich context resembling everyday life.
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Affiliation(s)
- Yudan Ren
- School of Automation, Northwestern Polytechnical University, 710072, Xi'an, China
- QIMR Berghofer Medical Research Institute, Brisbane, 4006, Australia
| | - Vinh T Nguyen
- QIMR Berghofer Medical Research Institute, Brisbane, 4006, Australia
| | - Saurabh Sonkusare
- QIMR Berghofer Medical Research Institute, Brisbane, 4006, Australia
- School of Medicine, The University of Queensland, Brisbane, 4072, Australia
| | - Jinglei Lv
- QIMR Berghofer Medical Research Institute, Brisbane, 4006, Australia
| | - Tianji Pang
- School of Automation, Northwestern Polytechnical University, 710072, Xi'an, China
| | - Lei Guo
- School of Automation, Northwestern Polytechnical University, 710072, Xi'an, China
| | - Simon B Eickhoff
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, 40225, Düsseldorf, Germany
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, 52425, Germany
| | | | - Christine C Guo
- School of Automation, Northwestern Polytechnical University, 710072, Xi'an, China.
- QIMR Berghofer Medical Research Institute, Brisbane, 4006, Australia.
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28
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Mäntylä T, Nummenmaa L, Rikandi E, Lindgren M, Kieseppä T, Hari R, Suvisaari J, Raij TT. Aberrant Cortical Integration in First-Episode Psychosis During Natural Audiovisual Processing. Biol Psychiatry 2018; 84:655-664. [PMID: 29885763 DOI: 10.1016/j.biopsych.2018.04.014] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2017] [Revised: 04/16/2018] [Accepted: 04/22/2018] [Indexed: 01/13/2023]
Abstract
BACKGROUND Functional magnetic resonance imaging studies of psychotic disorders have reported both hypoactivity and hyperactivity in numerous brain regions. In line with the dysconnection hypothesis, these regions include cortical integrative hub regions. However, most earlier studies focused on a single cognitive function at a time, assessed by delivering artificial stimuli to patients with chronic psychosis. Thus, it remains unresolved whether these findings are present already in early psychosis and whether they translate to real-life-like conditions that require multisensory processing and integration. METHODS Scenes from the movie Alice in Wonderland (2010) were shown to 51 patients with first-episode psychosis (16 women) and 32 community-based control subjects (17 women) during 3T functional magnetic resonance imaging. We compared intersubject correlation, a measure of similarity of brain signal time courses in each voxel, between the groups. We also quantified the hubness as the number of connections each region has. RESULTS Intersubject correlation was significantly lower in patients with first-episode psychosis than in control subjects in the medial and lateral prefrontal, cingulate, precuneal, and parietotemporal regions, including the default mode network. Regional magnitude of between-group difference in intersubject correlation was associated with the hubness. CONCLUSIONS Our findings provide novel evidence for the dysconnection hypothesis by showing that during complex real-life-like stimulation, the most prominent functional alterations in psychotic disorders relate to integrative brain functions. Presence of such abnormalities in first-episode psychosis rules out long-term effects of illness or medication. These methods can be used in further studies to map widespread hub alterations in a single functional magnetic resonance imaging session and link them to potential downstream and upstream pathways.
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Affiliation(s)
- Teemu Mäntylä
- Mental Health Unit, National Institute for Health and Welfare, University of Helsinki, Helsinki University Hospital, Helsinki, Finland; Department of Psychology and Logopedics, University of Helsinki, Helsinki University Hospital, Helsinki, Finland; Department of Neuroscience and Biomedical Engineering and Advanced Magnetic Imaging Center, Aalto NeuroImaging, Aalto University School of Science, Espoo, Finland.
| | - Lauri Nummenmaa
- Department of Neuroscience and Biomedical Engineering and Advanced Magnetic Imaging Center, Aalto NeuroImaging, Aalto University School of Science, Espoo, Finland; Turku PET Centre and Department of Psychology, University of Turku, Turku, Finland
| | - Eva Rikandi
- Mental Health Unit, National Institute for Health and Welfare, University of Helsinki, Helsinki University Hospital, Helsinki, Finland; Department of Psychology and Logopedics, University of Helsinki, Helsinki University Hospital, Helsinki, Finland; Department of Neuroscience and Biomedical Engineering and Advanced Magnetic Imaging Center, Aalto NeuroImaging, Aalto University School of Science, Espoo, Finland
| | - Maija Lindgren
- Mental Health Unit, National Institute for Health and Welfare, University of Helsinki, Helsinki University Hospital, Helsinki, Finland
| | - Tuula Kieseppä
- Mental Health Unit, National Institute for Health and Welfare, University of Helsinki, Helsinki University Hospital, Helsinki, Finland; Department of Psychiatry, University of Helsinki, Helsinki University Hospital, Helsinki, Finland
| | - Riitta Hari
- Department of Art, School of Arts, Design and Architecture, Aalto University, Helsinki, Finland; Department of Neuroscience and Biomedical Engineering and Advanced Magnetic Imaging Center, Aalto NeuroImaging, Aalto University School of Science, Espoo, Finland
| | - Jaana Suvisaari
- Mental Health Unit, National Institute for Health and Welfare, University of Helsinki, Helsinki University Hospital, Helsinki, Finland
| | - Tuukka T Raij
- Department of Psychiatry, University of Helsinki, Helsinki University Hospital, Helsinki, Finland; Department of Neuroscience and Biomedical Engineering and Advanced Magnetic Imaging Center, Aalto NeuroImaging, Aalto University School of Science, Espoo, Finland
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29
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Golland Y, Levit-Binnun N, Hendler T, Lerner Y. Neural dynamics underlying emotional transmissions between individuals. Soc Cogn Affect Neurosci 2018; 12:1249-1260. [PMID: 28575520 PMCID: PMC5597885 DOI: 10.1093/scan/nsx049] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2016] [Accepted: 03/27/2017] [Indexed: 01/10/2023] Open
Abstract
Emotional experiences are frequently shaped by the emotional responses of co-present others. Research has shown that people constantly monitor and adapt to the incoming social–emotional signals, even without face-to-face interaction. And yet, the neural processes underlying such emotional transmissions have not been directly studied. Here, we investigated how the human brain processes emotional cues which arrive from another, co-attending individual. We presented continuous emotional feedback to participants who viewed a movie in the scanner. Participants in the social group (but not in the control group) believed that the feedback was coming from another person who was co-viewing the same movie. We found that social–emotional feedback significantly affected the neural dynamics both in the core affect and in the medial pre-frontal regions. Specifically, the response time-courses in those regions exhibited increased similarity across recipients and increased neural alignment with the timeline of the feedback in the social compared with control group. Taken in conjunction with previous research, this study suggests that emotional cues from others shape the neural dynamics across the whole neural continuum of emotional processing in the brain. Moreover, it demonstrates that interpersonal neural alignment can serve as a neural mechanism through which affective information is conveyed between individuals.
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Affiliation(s)
- Yulia Golland
- Interdisciplinary Center Herzliya, Baruch Ivcher School of Psychology, Sagol Center for Brain and Mind, Herzliya, Israel
| | - Nava Levit-Binnun
- Interdisciplinary Center Herzliya, Baruch Ivcher School of Psychology, Sagol Center for Brain and Mind, Herzliya, Israel
| | - Talma Hendler
- Functional Brain Center, Wohl Institute for Advanced Imaging, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Israel.,School of Psychological Sciences, Tel Aviv University, Israel.,Sagol School of Neuroscience, Tel Aviv University, Israel
| | - Yulia Lerner
- Functional Brain Center, Wohl Institute for Advanced Imaging, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.,Sagol School of Neuroscience, Tel Aviv University, Israel.,Faculty of Medicine, Tel Aviv University, Israel
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30
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Ren Y, Lv J, Guo L, Fang J, Guo CC. Sparse coding reveals greater functional connectivity in female brains during naturalistic emotional experience. PLoS One 2017; 12:e0190097. [PMID: 29272294 PMCID: PMC5741239 DOI: 10.1371/journal.pone.0190097] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2017] [Accepted: 12/10/2017] [Indexed: 11/19/2022] Open
Abstract
Functional neuroimaging is widely used to examine changes in brain function associated with age, gender or neuropsychiatric conditions. FMRI (functional magnetic resonance imaging) studies employ either laboratory-designed tasks that engage the brain with abstracted and repeated stimuli, or resting state paradigms with little behavioral constraint. Recently, novel neuroimaging paradigms using naturalistic stimuli are gaining increasing attraction, as they offer an ecologically-valid condition to approximate brain function in real life. Wider application of naturalistic paradigms in exploring individual differences in brain function, however, awaits further advances in statistical methods for modeling dynamic and complex dataset. Here, we developed a novel data-driven strategy that employs group sparse representation to assess gender differences in brain responses during naturalistic emotional experience. Comparing to independent component analysis (ICA), sparse coding algorithm considers the intrinsic sparsity of neural coding and thus could be more suitable in modeling dynamic whole-brain fMRI signals. An online dictionary learning and sparse coding algorithm was applied to the aggregated fMRI signals from both groups, which was subsequently factorized into a common time series signal dictionary matrix and the associated weight coefficient matrix. Our results demonstrate that group sparse representation can effectively identify gender differences in functional brain network during natural viewing, with improved sensitivity and reliability over ICA-based method. Group sparse representation hence offers a superior data-driven strategy for examining brain function during naturalistic conditions, with great potential for clinical application in neuropsychiatric disorders.
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Affiliation(s)
- Yudan Ren
- School of Automation, Northwestern Polytechnical University, Xi’an, Shaanxi, China
- QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
| | - Jinglei Lv
- QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
| | - Lei Guo
- School of Automation, Northwestern Polytechnical University, Xi’an, Shaanxi, China
| | - Jun Fang
- School of Automation, Northwestern Polytechnical University, Xi’an, Shaanxi, China
| | - Christine Cong Guo
- QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
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31
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Cui X, Guo W, Wang Y, Yang TX, Yang XH, Wang Y, Gong J, Tan C, Xie G. Aberrant default mode network homogeneity in patients with first-episode treatment-naive melancholic depression. Int J Psychophysiol 2017; 112:46-51. [DOI: 10.1016/j.ijpsycho.2016.12.005] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2016] [Revised: 12/02/2016] [Accepted: 12/14/2016] [Indexed: 12/14/2022]
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32
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Wang J, Ren Y, Hu X, Nguyen VT, Guo L, Han J, Guo CC. Test-retest reliability of functional connectivity networks during naturalistic fMRI paradigms. Hum Brain Mapp 2017; 38:2226-2241. [PMID: 28094464 DOI: 10.1002/hbm.23517] [Citation(s) in RCA: 84] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2016] [Revised: 12/16/2016] [Accepted: 01/04/2017] [Indexed: 01/24/2023] Open
Abstract
Functional connectivity analysis has become a powerful tool for probing the human brain function and its breakdown in neuropsychiatry disorders. So far, most studies adopted resting-state paradigm to examine functional connectivity networks in the brain, thanks to its low demand and high tolerance that are essential for clinical studies. However, the test-retest reliability of resting-state connectivity measures is moderate, potentially due to its low behavioral constraint. On the other hand, naturalistic neuroimaging paradigms, an emerging approach for cognitive neuroscience with high ecological validity, could potentially improve the reliability of functional connectivity measures. To test this hypothesis, we characterized the test-retest reliability of functional connectivity measures during a natural viewing condition, and benchmarked it against resting-state connectivity measures acquired within the same functional magnetic resonance imaging (fMRI) session. We found that the reliability of connectivity and graph theoretical measures of brain networks is significantly improved during natural viewing conditions over resting-state conditions, with an average increase of almost 50% across various connectivity measures. Not only sensory networks for audio-visual processing become more reliable, higher order brain networks, such as default mode and attention networks, but also appear to show higher reliability during natural viewing. Our results support the use of natural viewing paradigms in estimating functional connectivity of brain networks, and have important implications for clinical application of fMRI. Hum Brain Mapp 38:2226-2241, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Jiahui Wang
- School of Automation, Northwestern Polytechnical University, Xi'an, China
| | - Yudan Ren
- School of Automation, Northwestern Polytechnical University, Xi'an, China
| | - Xintao Hu
- School of Automation, Northwestern Polytechnical University, Xi'an, China
| | - Vinh Thai Nguyen
- QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
| | - Lei Guo
- School of Automation, Northwestern Polytechnical University, Xi'an, China
| | - Junwei Han
- School of Automation, Northwestern Polytechnical University, Xi'an, China
| | - Christine Cong Guo
- QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
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Nguyen VT, Sonkusare S, Stadler J, Hu X, Breakspear M, Guo CC. Distinct Cerebellar Contributions to Cognitive-Perceptual Dynamics During Natural Viewing. Cereb Cortex 2016; 27:5652-5662. [DOI: 10.1093/cercor/bhw334] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2016] [Indexed: 01/27/2023] Open
Affiliation(s)
- Vinh Thai Nguyen
- QIMR Berghofer Medical Research Institute, Queensland, Herston 4006, Australia
| | - Saurabh Sonkusare
- QIMR Berghofer Medical Research Institute, Queensland, Herston 4006, Australia
- School of Medicine, The University of Queensland, Queensland, Brisbane 4067, Australia
| | - Jane Stadler
- School of Communication and Arts, The University of Queensland, Queensland, Brisbane 4067, Australia
| | - Xintao Hu
- School of Automation, Northwestern Polytechnical University, Xi'an 710072, China
| | - Michael Breakspear
- QIMR Berghofer Medical Research Institute, Queensland, Herston 4006, Australia
| | - Christine Cong Guo
- QIMR Berghofer Medical Research Institute, Queensland, Herston 4006, Australia
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34
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Kudinova AY, Burkhouse KL, Siegle G, Owens M, Woody ML, Gibb BE. Pupillary reactivity to negative stimuli prospectively predicts recurrence of major depressive disorder in women. Psychophysiology 2016; 53:1836-1842. [PMID: 27671353 DOI: 10.1111/psyp.12764] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2016] [Accepted: 08/17/2016] [Indexed: 12/23/2022]
Abstract
There is a large body of research supporting the association between disrupted physiological reactivity to negative stimuli and depression. The present study aimed to examine whether physiological reactivity to emotional stimuli, assessed via pupil dilation, served as a biological marker of risk for depression recurrence among individuals who are known to be at a higher risk due to having previous history of depression. Participants were 57 women with a history of major depressive disorder (MDD). Pupil dilation to angry, happy, sad, and neutral faces was recorded. Participants' diagnoses and symptoms were assessed 24 months after the initial assessment. We found that women's pupillary reactivity to negative (sad or angry faces) but not positive stimuli prospectively predicted MDD recurrence. Additionally, we found that both hyper- and hypopupillary reactivity to angry faces predicted risk for MDD recurrence. These findings suggest that disrupted physiological response to negative stimuli indexed via pupillary dilation could serve as a physiological marker of MDD risk, thus presenting clinicians with a convenient and inexpensive method to predict which of the at-risk women are more likely to experience depression recurrence.
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Affiliation(s)
- Anastacia Y Kudinova
- Center for Affective Science, Binghamton University (SUNY), Binghamton, New York, USA
| | - Katie L Burkhouse
- Center for Affective Science, Binghamton University (SUNY), Binghamton, New York, USA
| | - Greg Siegle
- University of Pittsburgh, School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Max Owens
- Center for Affective Science, Binghamton University (SUNY), Binghamton, New York, USA
| | - Mary L Woody
- Center for Affective Science, Binghamton University (SUNY), Binghamton, New York, USA
| | - Brandon E Gibb
- Center for Affective Science, Binghamton University (SUNY), Binghamton, New York, USA
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35
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Rimay T, Benak I, Kiss E, Baji I, Feher A, Juhasz A, Strauss J, Kennedy J, Barr C, Kovacs M, Vetro A, Kapornai K. BDNF Val66Met polymorphism and stressful life events in melancholic childhood-onset depression. Psychiatr Genet 2015; 25:249-55. [PMID: 26462036 PMCID: PMC4714603 DOI: 10.1097/ypg.0000000000000107] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
INTRODUCTION Brain-derived neurotrophic factor (BDNF) polymorphisms have been examined for their contribution toward depression with equivocal results. More homogeneous phenotypes might be used to improve our understanding of genetic liability to depression. The aim of our study was to (a) test for an association between the BDNF Val66Met polymorphism and childhood-onset melancholic depression and (b) to examine the interactive effects of stressful life events (SLE) and the Val66Met polymorphism on the risk of childhood-onset melancholic depression. MATERIALS AND METHODS A total of 583 depressed probands were involved in this study (162 of the melancholic subtype). Diagnoses were derived through the Interview Schedule for Children and Adolescents - Diagnostic Version and life event data were collected using an Intake General Information Sheet. RESULTS Overall, 27.8% of the participants fulfilled the criteria for melancholy. In the melancholic group, the proportion of females was higher (53.1%), although there were more males in the overall depressed sample. We detected no significant differences in genotype or allele frequency between the melancholic and the nonmelancholic depressed group. The BDNF Val66Met polymorphism and SLE interaction was not significantly associated with the melancholy outcome. CONCLUSION In our study, females were more prone to developing the early-onset melancholic phenotype. To our knowledge, this is the first study to investigate the differentiating effect of the genotype and the G×E interaction on the melancholic phenotype in a large sample of depressed young patients. We did not find an association between the melancholic subtype of major depression and the BDNF genotype and SLE interaction in this sample, which is representative of the Hungarian clinic-referred population of depressed youths.
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Affiliation(s)
- Timea Rimay
- Department of Pediatrics, Child and Adolescent Psychiatry Unit, University of Szeged, Szeged, Hungary
| | - Istvan Benak
- Department of Pediatrics, Child and Adolescent Psychiatry Unit, University of Szeged, Szeged, Hungary
| | - Eniko Kiss
- Department of Pediatrics, Child and Adolescent Psychiatry Unit, University of Szeged, Szeged, Hungary
| | - Ildiko Baji
- Department of Pediatrics, Child and Adolescent Psychiatry Unit, University of Szeged, Szeged, Hungary
| | - Agnes Feher
- Department of Psychiatry, University of Szeged, Szeged, Hungary
| | - Anna Juhasz
- Department of Psychiatry, University of Szeged, Szeged, Hungary
| | - John Strauss
- Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada
| | - James Kennedy
- Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada
| | - Cathy Barr
- University Health Network, Toronto Western Research Institute, Toronto, ON, Canada
| | - Maria Kovacs
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States
| | - Agnes Vetro
- Department of Pediatrics, Child and Adolescent Psychiatry Unit, University of Szeged, Szeged, Hungary
| | - Krisztina Kapornai
- Department of Pediatrics, Child and Adolescent Psychiatry Unit, University of Szeged, Szeged, Hungary
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