1
|
Kraljević N, Langner R, Küppers V, Raimondo F, Patil KR, Eickhoff SB, Müller VI. Network and state specificity in connectivity-based predictions of individual behavior. Hum Brain Mapp 2024; 45:e26753. [PMID: 38864353 PMCID: PMC11167405 DOI: 10.1002/hbm.26753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 04/17/2024] [Accepted: 05/23/2024] [Indexed: 06/13/2024] Open
Abstract
Predicting individual behavior from brain functional connectivity (FC) patterns can contribute to our understanding of human brain functioning. This may apply in particular if predictions are based on features derived from circumscribed, a priori defined functional networks, which improves interpretability. Furthermore, some evidence suggests that task-based FC data may yield more successful predictions of behavior than resting-state FC data. Here, we comprehensively examined to what extent the correspondence of functional network priors and task states with behavioral target domains influences the predictability of individual performance in cognitive, social, and affective tasks. To this end, we used data from the Human Connectome Project for large-scale out-of-sample predictions of individual abilities in working memory (WM), theory-of-mind cognition (SOCIAL), and emotion processing (EMO) from FC of corresponding and non-corresponding states (WM/SOCIAL/EMO/resting-state) and networks (WM/SOCIAL/EMO/whole-brain connectome). Using root mean squared error and coefficient of determination to evaluate model fit revealed that predictive performance was rather poor overall. Predictions from whole-brain FC were slightly better than those from FC in task-specific networks, and a slight benefit of predictions based on FC from task versus resting state was observed for performance in the WM domain. Beyond that, we did not find any significant effects of a correspondence of network, task state, and performance domains. Together, these results suggest that multivariate FC patterns during both task and resting states contain rather little information on individual performance levels, calling for a reconsideration of how the brain mediates individual differences in mental abilities.
Collapse
Affiliation(s)
- Nevena Kraljević
- Institute of Systems Neuroscience, Medical Faculty and University Hospital DüsseldorfHeinrich Heine University DüsseldorfDüsseldorfGermany
- Institute of Neuroscience and Medicine (INM‐7: Brain and Behaviour)Research Centre JülichJülichGermany
| | - Robert Langner
- Institute of Systems Neuroscience, Medical Faculty and University Hospital DüsseldorfHeinrich Heine University DüsseldorfDüsseldorfGermany
- Institute of Neuroscience and Medicine (INM‐7: Brain and Behaviour)Research Centre JülichJülichGermany
| | - Vincent Küppers
- Institute of Neuroscience and Medicine (INM‐7: Brain and Behaviour)Research Centre JülichJülichGermany
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany
| | - Federico Raimondo
- Institute of Systems Neuroscience, Medical Faculty and University Hospital DüsseldorfHeinrich Heine University DüsseldorfDüsseldorfGermany
- Institute of Neuroscience and Medicine (INM‐7: Brain and Behaviour)Research Centre JülichJülichGermany
| | - Kaustubh R. Patil
- Institute of Systems Neuroscience, Medical Faculty and University Hospital DüsseldorfHeinrich Heine University DüsseldorfDüsseldorfGermany
- Institute of Neuroscience and Medicine (INM‐7: Brain and Behaviour)Research Centre JülichJülichGermany
| | - Simon B. Eickhoff
- Institute of Systems Neuroscience, Medical Faculty and University Hospital DüsseldorfHeinrich Heine University DüsseldorfDüsseldorfGermany
- Institute of Neuroscience and Medicine (INM‐7: Brain and Behaviour)Research Centre JülichJülichGermany
| | - Veronika I. Müller
- Institute of Systems Neuroscience, Medical Faculty and University Hospital DüsseldorfHeinrich Heine University DüsseldorfDüsseldorfGermany
- Institute of Neuroscience and Medicine (INM‐7: Brain and Behaviour)Research Centre JülichJülichGermany
| |
Collapse
|
2
|
Oshri A, Howard CJ, Zhang L, Reck A, Cui Z, Liu S, Duprey E, Evans AI, Azarmehr R, Geier CF. Strengthening through adversity: The hormesis model in developmental psychopathology. Dev Psychopathol 2024:1-17. [PMID: 38532735 PMCID: PMC11427596 DOI: 10.1017/s0954579424000427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/28/2024]
Abstract
BACKGROUND Employing a developmental psychopathology framework, we tested the utility of the hormesis model in examining the strengthening of children and youth through limited levels of adversity in relation to internalizing and externalizing outcomes within a brain-by-development context. METHODS Analyzing data from the Adolescent Brain and Cognitive Development study (N = 11,878), we formed latent factors of threat, deprivation, and unpredictability. We examined linear and nonlinear associations between adversity dimensions and youth psychopathology symptoms and how change of resting-state functional connectivity (rsFC) in the default mode network (DMN) from Time 1 to Time 5 moderates these associations. RESULTS A cubic association was found between threat and youth internalizing problems; low-to-moderate family conflict levels reduced these problems. Deprivation also displayed a cubic relation with youth externalizing problems, with moderate deprivation levels associated with fewer problems. Unpredictability linearly increased both problem types. Change in DMN rsFC significantly moderated the cubic link between threat levels and internalizing problems, with declining DMN rsFC levels from Time 1 to Time 5 facilitating hormesis. Hormetic effects peaked earlier, emphasizing the importance of sensitive periods and developmental timing of outcomes related to earlier experiences. CONCLUSIONS Strengthening through limited environmental adversity is crucial for developing human resilience. Understanding this process requires considering both linear and nonlinear adversity-psychopathology associations. Testing individual differences by brain and developmental context will inform preventive intervention programming.
Collapse
Affiliation(s)
- Assaf Oshri
- Department of Human Development and Family Science, University of Georgia, Athens, GA, USA
| | - Cullin J Howard
- Department of Human Development and Family Science, University of Georgia, Athens, GA, USA
| | - Linhao Zhang
- Department of Human Development and Family Science, University of Georgia, Athens, GA, USA
| | - Ava Reck
- Department of Human Development and Family Science, University of Georgia, Athens, GA, USA
| | - Zehua Cui
- Department of Psychology, University of Maryland, College Park, MD, USA
| | - Sihong Liu
- Graduate School of Education, Stanford University, Palo Alto, CA, USA
| | - Erinn Duprey
- Department of Psychology, University of Rochester, Rochester, NY, USA
| | - Avary I Evans
- Department of Human Development and Family Science, University of Georgia, Athens, GA, USA
| | - Rabeeh Azarmehr
- Department of Human Development and Family Science, University of Georgia, Athens, GA, USA
| | - Charles F Geier
- Department of Human Development and Family Science, University of Georgia, Athens, GA, USA
| |
Collapse
|
3
|
Kraljević N, Langner R, Küppers V, Raimondo F, Patil KR, Eickhoff SB, Müller VI. Network and State Specificity in Connectivity-Based Predictions of Individual Behavior. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.11.540387. [PMID: 37215048 PMCID: PMC10197703 DOI: 10.1101/2023.05.11.540387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Predicting individual behavior from brain functional connectivity (FC) patterns can contribute to our understanding of human brain functioning. This may apply in particular if predictions are based on features derived from circumscribed, a priori defined functional networks, which improves interpretability. Furthermore, some evidence suggests that task-based FC data may yield more successful predictions of behavior than resting-state FC data. Here, we comprehensively examined to what extent the correspondence of functional network priors and task states with behavioral target domains influences the predictability of individual performance in cognitive, social, and affective tasks. To this end, we used data from the Human Connectome Project for large-scale out-of-sample predictions of individual abilities in working memory (WM), theory-of-mind cognition (SOCIAL), and emotion processing (EMO) from FC of corresponding and non-corresponding states (WM/SOCIAL/EMO/resting-state) and networks (WM/SOCIAL/EMO/whole-brain connectome). Using root mean squared error and coefficient of determination to evaluate model fit revealed that predictive performance was rather poor overall. Predictions from whole-brain FC were slightly better than those from FC in task-specific networks, and a slight benefit of predictions based on FC from task versus resting state was observed for performance in the WM domain. Beyond that, we did not find any significant effects of a correspondence of network, task state, and performance domains. Together, these results suggest that multivariate FC patterns during both task and resting states contain rather little information on individual performance levels, calling for a reconsideration of how the brain mediates individual differences in mental abilities.
Collapse
Affiliation(s)
- Nevena Kraljević
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf
| | - Robert Langner
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf
| | - Vincent Küppers
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Federico Raimondo
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf
| | - Kaustubh R Patil
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf
| | - Veronika I Müller
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf
| |
Collapse
|
4
|
Shepardson S, Dahlgren K, Hamann S. Neural correlates of autobiographical memory retrieval: An SDM neuroimaging meta-analysis. Cortex 2023; 166:59-79. [PMID: 37315358 DOI: 10.1016/j.cortex.2023.05.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 04/13/2023] [Accepted: 05/16/2023] [Indexed: 06/16/2023]
Abstract
Autobiographical memory (AM) is a type of episodic memory that involves the recollection and re-experiencing of personal life events. AM retrieval is a complex process requiring the coordination of multiple memory processes across the brain. Important questions remain regarding the degree to which specific brain regions are consistently recruited during AM retrieval and the influence of methodological factors such as type of AM retrieval task and control task. Neuroimaging meta-analyses can summarize the brain regions associated with AM retrieval, addressing these questions by revealing consistent findings across multiple studies. We used a coordinate-based neuroimaging meta-analysis method, seed-based d mapping (SDM), to assess the largest set of neuroimaging studies of AM retrieval to date. An important advantage of SDM over other methods is that it factors in the effect sizes of the activation coordinates from studies, yielding a more representative summary of activations. Studies were selected if they elicited AM retrieval in the scanner, contrasted AM retrieval with a matched control task, and used univariate whole-brain analyses, yielding a set of 50 papers with 963 participants and 891 foci. The findings confirmed the recruitment of many previously identified core AM retrieval regions including the prefrontal cortex (PFC), hippocampus and parahippocampal cortex, retrosplenial cortex and posterior cingulate, and angular gyrus, and revealed additional regions, including bilateral inferior parietal lobule and greater activation extent through the PFC, including lateral PFC activation. Results were robust across different types of AM retrieval tasks (previously rehearsed cues vs. novel cues), and robust across different control tasks (visual/attention vs. semantic retrieval). To maximize the utility of the meta-analysis, all results image files are available online. In summary, the current meta-analysis provides an updated and more representative characterization of the neural correlates of autobiographical memory retrieval and how these neural correlates are affected by important experimental factors.
Collapse
Affiliation(s)
| | | | - Stephan Hamann
- Department of Psychology, Emory University, Atlanta, GA, USA.
| |
Collapse
|
5
|
Jagger-Rickels A, Stumps A, Rothlein D, Evans T, Lee D, McGlinchey R, DeGutis J, Esterman M. Aberrant connectivity in the right amygdala and right middle temporal gyrus before and after a suicide attempt: Examining markers of suicide risk. J Affect Disord 2023; 335:24-35. [PMID: 37086805 PMCID: PMC10330566 DOI: 10.1016/j.jad.2023.04.061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 04/05/2023] [Accepted: 04/16/2023] [Indexed: 04/24/2023]
Abstract
Functional neuroimaging has the potential to help identify those at risk for self-injurious thoughts and behaviors, as well as inform neurobiological mechanisms that contribute to suicide. Based on whole-brain patterns of functional connectivity, our previous work identified right amygdala and right middle temporal gyrus (MTG) connectivity patterns that differentiated Veterans with a history of a suicide attempt (SA) from a Veteran control group. In this study, we aimed to replicate and extend our previous findings by examining whether this aberrant connectivity was present prior to and after a SA. In a trauma-exposed Veteran sample (92 % male, mean age = 34), we characterized if the right amygdala and right MTG connectivity differed between a psychiatric control sample (n = 56) and an independent sample of Veterans with a history of SA (n = 17), using fMRI data before and after the SA. Right MTG and amygdala connectivity differed between Veterans with and without a history of SA (replication), while MTG connectivity also distinguished Veterans prior to engaging in a SA (extension). In a second study, neither MTG or amygdala connectivity differed between those with current suicidal ideation (n = 27) relative to matched psychiatric controls (n = 27). These results indicate a potential stable marker of suicide risk (right MTG connectivity) as well as a potential marker of acute risk of or recent SA (right amygdala connectivity) that are independent of current ideation.
Collapse
Affiliation(s)
- Audreyana Jagger-Rickels
- National Center for PTSD, VA Boston Healthcare System, United States of America; Boston University Chobanian and Avedisian School of Medicine, Department of Psychiatry, United States of America; Boston Attention and Learning Lab, VA Boston Healthcare System, United States of America.
| | - Anna Stumps
- Department of Psychological and Brain Sciences, University of Delaware, United States of America
| | - David Rothlein
- National Center for PTSD, VA Boston Healthcare System, United States of America; Boston Attention and Learning Lab, VA Boston Healthcare System, United States of America
| | - Travis Evans
- Boston University Chobanian and Avedisian School of Medicine, Department of Psychiatry, United States of America; Boston Attention and Learning Lab, VA Boston Healthcare System, United States of America
| | - Daniel Lee
- National Center for PTSD, VA Boston Healthcare System, United States of America; Boston University Chobanian and Avedisian School of Medicine, Department of Psychiatry, United States of America
| | - Regina McGlinchey
- Translational Research Center for TBI and Stress Disorders (TRACTS), VA Boston Healthcare System, United States of America; Department of Psychiatry, Harvard Medical School, United States of America; Geriatric Research, Education and Clinical Center (GRECC), VA Boston Healthcare System, United States of America
| | - Joseph DeGutis
- Boston Attention and Learning Lab, VA Boston Healthcare System, United States of America; Translational Research Center for TBI and Stress Disorders (TRACTS), VA Boston Healthcare System, United States of America; Department of Psychiatry, Harvard Medical School, United States of America
| | - Michael Esterman
- National Center for PTSD, VA Boston Healthcare System, United States of America; Boston University Chobanian and Avedisian School of Medicine, Department of Psychiatry, United States of America; Boston Attention and Learning Lab, VA Boston Healthcare System, United States of America; Neuroimaging Research for Veterans (NeRVe) Center, VA Boston Healthcare System, United States of America
| |
Collapse
|
6
|
Erata MC, Eroğlu S, Özkul B, Uslu Ö, Erdoğan Y, Kitiş Ö, Gönül AS. The Reflection of Self-Esteem on the Brain Structure: A Voxel Based Morphometry Study in Healthy Young Adults. Noro Psikiyatr Ars 2023; 60:202-206. [PMID: 37645074 PMCID: PMC10461769 DOI: 10.29399/npa.28318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Accepted: 11/16/2022] [Indexed: 08/31/2023] Open
Abstract
Introduction Low self-esteem is a known risk factor for mental illnesses. Neuroimaging studies have identified evidence for a functional association between default mode network (DMN) and self-esteem levels. However, it is not clear whether there is a similar association between trait self-esteem and the structures composing DMN. This study aimed to investigate the relationship between the DMN associated brain structures and trait self-esteem. Methods We obtained 3T structural magnetic resonance imaging (MRI) data of 75 healthy subjects and detected anatomical regions correlated with their Rosenberg Self-Esteem scores via voxel-based morphometry (VBM). Results We found positive associations between self-esteem and regional grey matter volumes in the right temporoparietal junction/inferior parietal lobule (BA 39), cortical midline regions at precuneus/dorsal cingulate cortex (BA 31), rostral and dorsal anterior cingulate cortices (BA 32). Conclusion The results of the current study support the fMRI studies suggesting self-esteem levels associated with DMN. Further neuroimaging studies should consider the functional and structural coupling of the default mode network during the execution of the functions related to self-esteem.
Collapse
Affiliation(s)
- Mehmet C. Erata
- SoCAT Lab, Department of Psychiatry, School of Medicine, Ege University, İzmir, Turkey
- Department of Child and Adolescence Psychiatry, Bakırköy Mazhar Osman Mental Health and Neurological Diseases Education and Research Hospital, İstanbul, Turkey
| | - Seda Eroğlu
- SoCAT Lab, Department of Psychiatry, School of Medicine, Ege University, İzmir, Turkey
- Department of Psychology, Faculty of Letters, Dokuz Eylül University, İzmir, Turkey
| | - Burcu Özkul
- SoCAT Lab, Department of Psychiatry, School of Medicine, Ege University, İzmir, Turkey
- Department of Nursing, Faculty of Health Sciences, İzmir University of Economics, İzmir, Turkey
| | - Özgül Uslu
- SoCAT Lab, Department of Psychiatry, School of Medicine, Ege University, İzmir, Turkey
| | - Yiğit Erdoğan
- SoCAT Lab, Department of Psychiatry, School of Medicine, Ege University, İzmir, Turkey
| | - Ömer Kitiş
- SoCAT Lab, Department of Psychiatry, School of Medicine, Ege University, İzmir, Turkey
- Department of Radiology, School of Medicine Ege University, İzmir, Turkey
| | - Ali Saffet Gönül
- SoCAT Lab, Department of Psychiatry, School of Medicine, Ege University, İzmir, Turkey
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Mercer University, Macon, GA, USA
| |
Collapse
|
7
|
Banihashemi L, Schmithorst VJ, Bertocci MA, Samolyk A, Zhang Y, Lima Santos JP, Versace A, Taylor M, English G, Northrup JB, Lee VK, Stiffler R, Aslam H, Panigrahy A, Hipwell AE, Phillips ML. Neural Network Functional Interactions Mediate or Suppress White Matter-Emotional Behavior Relationships in Infants. Biol Psychiatry 2023; 94:57-67. [PMID: 36918062 PMCID: PMC10365319 DOI: 10.1016/j.biopsych.2023.03.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 02/28/2023] [Accepted: 03/02/2023] [Indexed: 03/16/2023]
Abstract
BACKGROUND Elucidating the neural basis of infant positive emotionality and negative emotionality can identify biomarkers of pathophysiological risk. Our goal was to determine how functional interactions among large-scale networks supporting emotional regulation influence white matter (WM) microstructural-emotional behavior relationships in 3-month-old infants. We hypothesized that microstructural-emotional behavior relationships would be differentially mediated or suppressed by underlying resting-state functional connectivity (rsFC), particularly between default mode network and central executive network structures. METHODS The analytic sample comprised primary caregiver-infant dyads (52 infants [42% female, mean age at scan = 15.10 weeks]), with infant neuroimaging and emotional behavior assessments conducted at 3 months. Infant WM and rsFC were assessed by diffusion-weighted imaging/tractography and resting-state magnetic resonance imaging during natural, nonsedated sleep. The Infant Behavior Questionnaire-Revised provided measures of infant positive emotionality and negative emotionality. RESULTS After significant WM-emotional behavior relationships were observed, multimodal analyses were performed using whole-brain voxelwise mediation. Results revealed that greater cingulum bundle volume was significantly associated with lower infant positive emotionality (β = -0.263, p = .031); however, a pattern of lower rsFC between central executive network and default mode network structures suppressed this otherwise negative relationship. Greater uncinate fasciculus volume was significantly associated with lower infant negative emotionality (β = -0.296, p = .022); however, lower orbitofrontal cortex-amygdala rsFC suppressed this otherwise negative relationship, while greater orbitofrontal cortex-central executive network rsFC mediated this relationship. CONCLUSIONS Functional interactions among neural networks have an important influence on WM microstructural-emotional behavior relationships in infancy. These relationships can elucidate neural mechanisms that contribute to future behavioral and emotional problems in childhood.
Collapse
Affiliation(s)
- Layla Banihashemi
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
| | - Vanessa J Schmithorst
- Department of Pediatric Radiology, University of Pittsburgh Medical Center Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania
| | - Michele A Bertocci
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Alyssa Samolyk
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Yicheng Zhang
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania; Department of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - João Paulo Lima Santos
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Amelia Versace
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Megan Taylor
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Gabrielle English
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Jessie B Northrup
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Vincent K Lee
- Department of Pediatric Radiology, University of Pittsburgh Medical Center Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania
| | - Richelle Stiffler
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Haris Aslam
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Ashok Panigrahy
- Department of Pediatric Radiology, University of Pittsburgh Medical Center Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania
| | - Alison E Hipwell
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| |
Collapse
|
8
|
Daviddi S, Pedale T, St Jacques PL, Schacter DL, Santangelo V. Common and distinct correlates of construction and elaboration of episodic-autobiographical memory: An ALE meta-analysis. Cortex 2023; 163:123-138. [PMID: 37104887 PMCID: PMC10192150 DOI: 10.1016/j.cortex.2023.03.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 02/18/2023] [Accepted: 03/24/2023] [Indexed: 04/03/2023]
Abstract
The recollection of episodic-autobiographical memories (EAMs) entails a complex temporal dynamic, from initial "construction" to subsequent "elaboration" of memories. While there is consensus that EAM retrieval involves a distributed network of brain regions, it is still largely debated which regions specifically contribute to EAM construction and/or elaboration. To clarify this issue, we conducted an Activation Likelihood Estimation (ALE) meta-analysis based on the Preferred Reporting Items for Systematic-Reviews and Meta-Analyses (PRISMA) method. We found common recruitment of the left hippocampus and posterior cingulate cortex (PCC) during both phases. Additionally, EAM construction led to activations in the ventromedial prefrontal cortex, left angular gyrus (AG), right hippocampus, and precuneus, while the right inferior frontal gyrus was activated by EAM elaboration. Although most of these regions are distributed over the default mode network, the current findings highlight a differential contribution according to early (midline regions, left/right hippocampus, and left AG) versus later (left hippocampus, and PCC) recollection. Overall, these findings contribute to clarify the neural correlates that support the temporal dynamics of EAM recollection.
Collapse
Affiliation(s)
- Sarah Daviddi
- Department of Philosophy, Social Sciences & Education, University of Perugia, Italy.
| | - Tiziana Pedale
- Department of Physiology and Pharmacology, Sapienza University of Rome, Italy; Functional Neuroimaging Laboratory, Fondazione Santa Lucia, IRCCS, Rome, Italy
| | | | | | - Valerio Santangelo
- Department of Philosophy, Social Sciences & Education, University of Perugia, Italy; Functional Neuroimaging Laboratory, Fondazione Santa Lucia, IRCCS, Rome, Italy.
| |
Collapse
|
9
|
Bertocci MA, Afriyie-Agyemang Y, Rozovsky R, Iyengar S, Stiffler R, Aslam HA, Bebko G, Phillips ML. Altered patterns of central executive, default mode and salience network activity and connectivity are associated with current and future depression risk in two independent young adult samples. Mol Psychiatry 2023; 28:1046-1056. [PMID: 36481935 PMCID: PMC10530634 DOI: 10.1038/s41380-022-01899-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 11/17/2022] [Accepted: 11/21/2022] [Indexed: 12/13/2022]
Abstract
Neural markers of pathophysiological processes underlying the dimension of subsyndromal-syndromal-level depression severity can provide objective, biologically informed targets for novel interventions to help prevent the onset of depressive and other affective disorders in individuals with subsyndromal symptoms, and prevent worsening symptom severity in those with these disorders. Greater functional connectivity (FC) among the central executive network (CEN), supporting emotional regulation (ER) subcomponent processes such as working memory (WM), the default mode network (DMN), supporting self-related information processing, and the salience network (SN), is thought to interfere with cognitive functioning and predispose to depressive disorders. We examined in young adults (1) relationships among activity and FC in these networks and current depression severity, using a paradigm designed to examine WM and ER capacity in n = 90, age = 21.7 (2.0); (2) the extent to which these relationships were specific to depression versus mania/hypomania; (3) whether findings in a first, "discovery" sample could be replicated in a second, independent, "test" sample of young adults n = 96, age = 21.6 (2.1); and (4) whether such relationships also predicted depression at up to 12 months post scan and/or mania/hypomania severity in (n = 61, including participants from both samples, age = 21.6 (2.1)). We also examined the extent to which there were common depression- and anxiety-related findings, given that depression and anxiety are highly comorbid. In the discovery sample, current depression severity was robustly predicted by greater activity and greater positive functional connectivity among the CEN, DMN, and SN during working memory and emotional regulation tasks (all ps < 0.05 qFDR). These findings were specific to depression, replicated in the independent sample, and predicted future depression severity. Similar neural marker-anxiety relationships were shown, with robust DMN-SN FC relationships. These data help provide objective, neural marker targets to better guide and monitor early interventions in young adults at risk for, or those with established, depressive and other affective disorders.
Collapse
Affiliation(s)
- Michele A Bertocci
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
| | | | - Renata Rozovsky
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Satish Iyengar
- Department of Statistics, University of Pittsburgh School of Arts and Sciences, Pittsburgh, PA, USA
| | - Richelle Stiffler
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Haris A Aslam
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Genna Bebko
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| |
Collapse
|
10
|
Seghier ML. Multiple functions of the angular gyrus at high temporal resolution. Brain Struct Funct 2023; 228:7-46. [PMID: 35674917 DOI: 10.1007/s00429-022-02512-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 05/22/2022] [Indexed: 02/07/2023]
Abstract
Here, the functions of the angular gyrus (AG) are evaluated in the light of current evidence from transcranial magnetic/electric stimulation (TMS/TES) and EEG/MEG studies. 65 TMS/TES and 52 EEG/MEG studies were examined in this review. TMS/TES literature points to a causal role in semantic processing, word and number processing, attention and visual search, self-guided movement, memory, and self-processing. EEG/MEG studies reported AG effects at latencies varying between 32 and 800 ms in a wide range of domains, with a high probability to detect an effect at 300-350 ms post-stimulus onset. A three-phase unifying model revolving around the process of sensemaking is then suggested: (1) early AG involvement in defining the current context, within the first 200 ms, with a bias toward the right hemisphere; (2) attention re-orientation and retrieval of relevant information within 200-500 ms; and (3) cross-modal integration at late latencies with a bias toward the left hemisphere. This sensemaking process can favour accuracy (e.g. for word and number processing) or plausibility (e.g. for comprehension and social cognition). Such functions of the AG depend on the status of other connected regions. The much-debated semantic role is also discussed as follows: (1) there is a strong TMS/TES evidence for a causal semantic role, (2) current EEG/MEG evidence is however weak, but (3) the existing arguments against a semantic role for the AG are not strong. Some outstanding questions for future research are proposed. This review recognizes that cracking the role(s) of the AG in cognition is possible only when its exact contributions within the default mode network are teased apart.
Collapse
Affiliation(s)
- Mohamed L Seghier
- Department of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi, UAE. .,Healthcare Engineering Innovation Center (HEIC), Khalifa University of Science and Technology, Abu Dhabi, UAE.
| |
Collapse
|
11
|
Fenerci C, Gurguryan L, Spreng RN, Sheldon S. Comparing neural activity during autobiographical memory retrieval between younger and older adults: An ALE meta-analysis. Neurobiol Aging 2022; 119:8-21. [DOI: 10.1016/j.neurobiolaging.2022.06.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Revised: 06/22/2022] [Accepted: 06/23/2022] [Indexed: 12/15/2022]
|
12
|
Nam G, Moon H, Lee JH, Hur JW. Self-referential processing in individuals with nonsuicidal self-injury: An fMRI study. Neuroimage Clin 2022; 35:103058. [PMID: 35671558 PMCID: PMC9168135 DOI: 10.1016/j.nicl.2022.103058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 05/18/2022] [Accepted: 05/21/2022] [Indexed: 12/03/2022]
Abstract
Individuals with NSSI rated negative adjectives as more relevant. Altered self-referential processing in NSSI related to temporoparietal and subcortical areas. Brain activity in inferior parietal lobe related to ‘nonsuicidality’ in people with NSSI.
Nonsuicidal self-injury (NSSI) is associated with considerable deficits in managing negative self-directed internal experiences. The present study explores the neurophysiological correlates of self-referential processing in individuals with NSSI. A total of 26 individuals with NSSI (≥5 episodes of NSSI behavior in the past year, without suicide attempts) and 35 age-, sex-, education-, and intelligence quotient (IQ)-matched controls participated in this study. Participants underwent fMRI scanning as they performed a personal relevance rating task, which required them to evaluate the personal relevance of emotional words. As predicted, we found that individuals engaging in NSSI tended to rate negative adjectives as more relevant and positive adjectives as less relevant. An analysis of functional neuroimaging data showed that the NSSI group had increased activity relative to the control group in the inferior parietal lobe, inferior temporal gyrus, calcarine, insula, and thalamus in response to positive adjectives. The NSSI group also demonstrated greater activation in the calcarine and reduced activation in the inferior frontal gyrus in response to negative self-referential stimuli compared with the control group. In addition, increased right inferior parietal lobe activity during positive self-referential processing was correlated with reduced suicidal ideation in the NSSI group. Our study provides neural evidence for self-referential processing bias in individuals with NSSI and highlights the need for further research to clarify the pathophysiological features that are specific to NSSI.
Collapse
Affiliation(s)
- Gieun Nam
- Department of Psychology, Chung-Ang University, Seoul, Republic of Korea
| | - Hyeri Moon
- School of Psychology, Korea University, Seoul, Republic of Korea
| | - Jang-Han Lee
- Department of Psychology, Chung-Ang University, Seoul, Republic of Korea.
| | - Ji-Won Hur
- School of Psychology, Korea University, Seoul, Republic of Korea.
| |
Collapse
|
13
|
Fournier JC, Bertocci M, Ladouceur CD, Bonar L, Monk K, Abdul-Waalee H, Versace A, Santos JPL, Iyengar S, Birmaher B, Phillips ML. Neural function during emotion regulation and future depressive symptoms in youth at risk for affective disorders. Neuropsychopharmacology 2021; 46:1340-1347. [PMID: 33782511 PMCID: PMC8134479 DOI: 10.1038/s41386-021-01001-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 02/04/2021] [Accepted: 03/10/2021] [Indexed: 02/01/2023]
Abstract
Affective disorders (AD, including bipolar disorder, BD, and major depressive disorder) are severe recurrent illnesses. Identifying neural markers of processes underlying AD development in at-risk youth can provide objective, "early-warning" signs that may predate onset or worsening of symptoms. Using data (n = 34) from the Bipolar Offspring Study, we examined relationships between neural response in regions supporting executive function, and those supporting self-monitoring, during an emotional n-back task (focusing on the 2-back face distractor versus the 0-back no-face control conditions) and future depressive and hypo/manic symptoms across two groups of youth at familial risk for AD: Offspring of parents with BD (n = 15, age = 14.15) and offspring of parents with non-BD psychopathology (n = 19, age = 13.62). Participants were scanned and assessed twice, approximately 4 years apart. Across groups, less deactivation in the mid-cingulate cortex during emotional regulation (Rate Ratio = 3.07(95% CI:1.09-8.66), χ2(1) = 4.48, p = 0.03) at Time-1, and increases in functional connectivity from Time-1 to 2 (Rate Ratio = 1.45(95% CI:1.15-1.84), χ2(1) = 8.69, p = 0.003) between regions that showed deactivation during emotional regulation and the right caudate, predicted higher depression severity at Time-2. Both effects were robust to sensitivity analyses controlling for clinical characteristics. Decreases in deactivation between Times 1 and 2 in the right putamen tail were associated with increases in hypo/mania at Time-2, but this effect was not robust to sensitivity analyses. Our findings reflect neural mechanisms of risk for worsening affective symptoms, particularly depression, in youth across a range of familial risk for affective disorders. They may serve as potential objective, early-warning signs of AD in youth.
Collapse
Affiliation(s)
- Jay C. Fournier
- grid.21925.3d0000 0004 1936 9000University of Pittsburgh School of Medicine, Pittsburgh, PA USA
| | - Michele Bertocci
- grid.21925.3d0000 0004 1936 9000University of Pittsburgh School of Medicine, Pittsburgh, PA USA
| | - Cecile D. Ladouceur
- grid.21925.3d0000 0004 1936 9000University of Pittsburgh School of Medicine, Pittsburgh, PA USA
| | - Lisa Bonar
- grid.21925.3d0000 0004 1936 9000University of Pittsburgh School of Medicine, Pittsburgh, PA USA
| | - Kelly Monk
- grid.21925.3d0000 0004 1936 9000University of Pittsburgh School of Medicine, Pittsburgh, PA USA
| | - Halimah Abdul-Waalee
- grid.21925.3d0000 0004 1936 9000University of Pittsburgh School of Medicine, Pittsburgh, PA USA
| | - Amelia Versace
- grid.21925.3d0000 0004 1936 9000University of Pittsburgh School of Medicine, Pittsburgh, PA USA
| | - João Paulo Lima Santos
- grid.21925.3d0000 0004 1936 9000University of Pittsburgh School of Medicine, Pittsburgh, PA USA
| | - Satish Iyengar
- grid.21925.3d0000 0004 1936 9000University of Pittsburgh, Pittsburgh, PA USA
| | - Boris Birmaher
- grid.21925.3d0000 0004 1936 9000University of Pittsburgh School of Medicine, Pittsburgh, PA USA
| | - Mary L. Phillips
- grid.21925.3d0000 0004 1936 9000University of Pittsburgh School of Medicine, Pittsburgh, PA USA
| |
Collapse
|
14
|
Matsuoka T, Shimode T, Ota T, Matsuo K. Event-Related Alpha-Band Power Changes During Self-reflection and Working Memory Tasks in Healthy Individuals. Front Hum Neurosci 2021; 14:570279. [PMID: 33568977 PMCID: PMC7868427 DOI: 10.3389/fnhum.2020.570279] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2020] [Accepted: 12/31/2020] [Indexed: 11/23/2022] Open
Abstract
Dysfunctional attentional control is observed in patients with mental disorders. However, there is no established neurophysiological method to assess attention in such patients. We showed a discrepancy in alpha-band power in the tasks that evoked internal and external attention event-related alpha-band power changes in healthy subjects during self-reflection (SR) and working memory (WM) tasks in a preliminary study. In this study, we aimed at elucidating event-related alpha-band power changes in healthy subjects during the tasks, addressing the shortcomings of the previous study. Sixteen healthy volunteers were examined for the event-related power (ERpow) change during the tasks. The results demonstrated the discrepancy of alpha-band ERpow at 8, 10, and 12 Hz in the parieto-occipital area between the WM and SR tasks for a period between a target stimulus and a command stimulus, where a participant switched to internal attention from external attention according to the SR task and remained at external attention according to the WM task. The results suggest that alpha-band ERpow in this area is associated with the direction of attention in response to cognitive stimuli, indicating that the findings of ERpow during the two tasks would potentially aid in the clarification of the pathophysiology of the dysfunctional change in attention in patients with psychiatric disorders.
Collapse
Affiliation(s)
- Takahiro Matsuoka
- Department of Psychiatry, Faculty of Medicine, Saitama Medical University, Saitama, Japan
| | - Takaki Shimode
- Department of Psychiatry, Faculty of Medicine, Saitama Medical University, Saitama, Japan
| | - Toshio Ota
- Department of Psychiatry, Faculty of Medicine, Saitama Medical University, Saitama, Japan
| | - Koji Matsuo
- Department of Psychiatry, Faculty of Medicine, Saitama Medical University, Saitama, Japan
| |
Collapse
|
15
|
Yi C, Chen C, Si Y, Li F, Zhang T, Liao Y, Jiang Y, Yao D, Xu P. Constructing large-scale cortical brain networks from scalp EEG with Bayesian nonnegative matrix factorization. Neural Netw 2020; 125:338-348. [DOI: 10.1016/j.neunet.2020.02.021] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Revised: 11/20/2019] [Accepted: 02/28/2020] [Indexed: 11/30/2022]
|
16
|
Fuentes-Claramonte P, Martin-Subero M, Salgado-Pineda P, Santo-Angles A, Argila-Plaza I, Salavert J, Arévalo A, Bosque C, Sarri C, Guerrero-Pedraza A, Capdevila A, Sarró S, McKenna PJ, Pomarol-Clotet E, Salvador R. Brain imaging correlates of self- and other-reflection in schizophrenia. NEUROIMAGE-CLINICAL 2019; 25:102134. [PMID: 31877452 PMCID: PMC6931228 DOI: 10.1016/j.nicl.2019.102134] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Revised: 11/29/2019] [Accepted: 12/13/2019] [Indexed: 01/06/2023]
Abstract
Self- and other-reflection in schizophrenia were studied with fMRI. Patients failed to activate the right temporo-parietal junction in other-reflection. They also hyperactivated lateral prefrontal cortex for self and other-reflection. These findings might be linked to altered self/other processing in schizophrenia.
Background An alteration in self/other differentiation has been proposed as a basis for several symptoms in schizophrenia, including delusions of reference and social functioning deficits. Dysfunction of the right temporo-parietal junction (TPJ), a region linked with social cognition, has been proposed as the basis of this alteration. However, imaging studies of self- and other-processing in schizophrenia have shown, so far, inconsistent results. Methods Patients with schizophrenia and healthy controls underwent fMRI scanning while performing a task with three conditions: self-reflection, other-reflection and semantic processing. Results Both groups activated similar brain regions for self- and other-reflection compared to semantic processing, including the medial prefrontal cortex, the precuneus and the TPJ. Compared to healthy subjects, patients hyperactivated the left lateral frontal cortex during self- and other-reflection. In other-reflection, compared to self-reflection, patients failed to increase right TPJ activity. Conclusions Altered activity in the right TPJ supports a disturbance in self/other differentiation in schizophrenia, which could be linked with psychotic symptoms and affect social functioning in patients. Hyperactivity of the lateral frontal cortex for self- and other-reflection suggests the presence of greater cognitive demand to perform the task in the patient group.
Collapse
Affiliation(s)
- Paola Fuentes-Claramonte
- FIDMAG Germanes Hospitalàries Research Foundation, Carrer Dr. Antoni Pujadas, 38, 08830 Sant Boi de Llobregat, Barcelona Spain; CIBERSAM (Centro de Investigación Biomédica en Red de Salud Mental), Spain
| | - Marta Martin-Subero
- FIDMAG Germanes Hospitalàries Research Foundation, Carrer Dr. Antoni Pujadas, 38, 08830 Sant Boi de Llobregat, Barcelona Spain; CIBERSAM (Centro de Investigación Biomédica en Red de Salud Mental), Spain; Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Pilar Salgado-Pineda
- FIDMAG Germanes Hospitalàries Research Foundation, Carrer Dr. Antoni Pujadas, 38, 08830 Sant Boi de Llobregat, Barcelona Spain; CIBERSAM (Centro de Investigación Biomédica en Red de Salud Mental), Spain
| | - Aniol Santo-Angles
- FIDMAG Germanes Hospitalàries Research Foundation, Carrer Dr. Antoni Pujadas, 38, 08830 Sant Boi de Llobregat, Barcelona Spain; CIBERSAM (Centro de Investigación Biomédica en Red de Salud Mental), Spain
| | - Isabel Argila-Plaza
- FIDMAG Germanes Hospitalàries Research Foundation, Carrer Dr. Antoni Pujadas, 38, 08830 Sant Boi de Llobregat, Barcelona Spain
| | - Josep Salavert
- Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain; Psychiatry Department, Hospital Sant Rafael, Barcelona, Spain
| | - Antoni Arévalo
- Psychiatry Department, Hospital Sagrat Cor Martorell Barcelona, Spain
| | - Clara Bosque
- Benito Menni Centre Assistencial en Salut Mental, Sant Boi de Llobregat, Barcelona, Spain
| | - Carmen Sarri
- Benito Menni Centre Assistencial en Salut Mental, Sant Boi de Llobregat, Barcelona, Spain
| | | | - Antoni Capdevila
- Radiology Unit, Hospital de la Santa Creu i Sant Pau (HSCSP), Barcelona, Spain; CIBER-BBN (Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina), Spain
| | - Salvador Sarró
- FIDMAG Germanes Hospitalàries Research Foundation, Carrer Dr. Antoni Pujadas, 38, 08830 Sant Boi de Llobregat, Barcelona Spain; CIBERSAM (Centro de Investigación Biomédica en Red de Salud Mental), Spain
| | - Peter J McKenna
- FIDMAG Germanes Hospitalàries Research Foundation, Carrer Dr. Antoni Pujadas, 38, 08830 Sant Boi de Llobregat, Barcelona Spain; CIBERSAM (Centro de Investigación Biomédica en Red de Salud Mental), Spain
| | - Edith Pomarol-Clotet
- FIDMAG Germanes Hospitalàries Research Foundation, Carrer Dr. Antoni Pujadas, 38, 08830 Sant Boi de Llobregat, Barcelona Spain; CIBERSAM (Centro de Investigación Biomédica en Red de Salud Mental), Spain.
| | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research Foundation, Carrer Dr. Antoni Pujadas, 38, 08830 Sant Boi de Llobregat, Barcelona Spain; CIBERSAM (Centro de Investigación Biomédica en Red de Salud Mental), Spain
| |
Collapse
|
17
|
Salvador R, Canales-Rodríguez E, Guerrero-Pedraza A, Sarró S, Tordesillas-Gutiérrez D, Maristany T, Crespo-Facorro B, McKenna P, Pomarol-Clotet E. Multimodal Integration of Brain Images for MRI-Based Diagnosis in Schizophrenia. Front Neurosci 2019; 13:1203. [PMID: 31787874 PMCID: PMC6855131 DOI: 10.3389/fnins.2019.01203] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Accepted: 10/23/2019] [Indexed: 12/12/2022] Open
Abstract
Magnetic resonance imaging (MRI) has been proposed as a source of information for automatic prediction of individual diagnosis in schizophrenia. Optimal integration of data from different MRI modalities is an active area of research aimed at increasing diagnostic accuracy. Based on a sample of 96 patients with schizophrenia and a matched sample of 115 healthy controls that had undergone a single multimodal MRI session, we generated individual brain maps of gray matter vbm, 1back, and 2back levels of activation (nback fMRI), maps of amplitude of low-frequency fluctuations (resting-state fMRI), and maps of weighted global brain connectivity (resting-state fMRI). Four unimodal classifiers (Ridge, Lasso, Random Forests, and Gradient boosting) were applied to these maps to evaluate their classification accuracies. Based on the assignments made by the algorithms on test individuals, we quantified the amount of predictive information shared between maps (what we call redundancy analysis). Finally, we explored the added accuracy provided by a set of multimodal strategies that included post-classification integration based on probabilities, two-step sequential integration, and voxel-level multimodal integration through one-dimensional-convolutional neural networks (1D-CNNs). All four unimodal classifiers showed the highest test accuracies with the 2back maps (80% on average) achieving a maximum of 84% with the Lasso. Redundancy levels between brain maps were generally low (overall mean redundancy score of 0.14 in a 0–1 range), indicating that each brain map contained differential predictive information. The highest multimodal accuracy was delivered by the two-step Ridge classifier (87%) followed by the Ridge maximum and mean probability classifiers (both with 85% accuracy) and by the 1D-CNN, which achieved the same accuracy as the best unimodal classifier (84%). From these results, we conclude that from all MRI modalities evaluated task-based fMRI may be the best unimodal diagnostic option in schizophrenia. Low redundancy values point to ample potential for accuracy improvements through multimodal integration, with the two-step Ridge emerging as a suitable strategy.
Collapse
Affiliation(s)
- Raymond Salvador
- FIDMAG Hermanas Hospitalarias Research Foundation, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| | - Erick Canales-Rodríguez
- FIDMAG Hermanas Hospitalarias Research Foundation, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| | | | - Salvador Sarró
- FIDMAG Hermanas Hospitalarias Research Foundation, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| | - Diana Tordesillas-Gutiérrez
- Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain.,Hospital Universitario Marqués de Valdecilla, Universidad de Cantabria, Santander, Spain
| | | | - Benedicto Crespo-Facorro
- Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain.,Hospital Universitario Marqués de Valdecilla, Universidad de Cantabria, Santander, Spain
| | - Peter McKenna
- FIDMAG Hermanas Hospitalarias Research Foundation, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| | - Edith Pomarol-Clotet
- FIDMAG Hermanas Hospitalarias Research Foundation, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| |
Collapse
|
18
|
Carmona i Farrés C, Elices M, Soler J, Domínguez‐Clavé E, Martín‐Blanco A, Pomarol‐Clotet E, Salvador R, Martinez‐Horta S, Pascual JC. Effects of mindfulness training on the default mode network in borderline personality disorder. Clin Psychol Psychother 2019; 26:562-571. [DOI: 10.1002/cpp.2382] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Accepted: 05/13/2019] [Indexed: 11/09/2022]
Affiliation(s)
- Cristina Carmona i Farrés
- Department of PsychiatryHospital de la Santa Creu I Sant Pau, IIB‐Sant Pau Barcelona Spain
- Department of Psychiatry and Legal MedicineAutonomous University of Barcelona, UAB Barcelona Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM) Madrid Spain
| | - Matilde Elices
- Department of PsychiatryHospital de la Santa Creu I Sant Pau, IIB‐Sant Pau Barcelona Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM) Madrid Spain
| | - Joaquim Soler
- Department of PsychiatryHospital de la Santa Creu I Sant Pau, IIB‐Sant Pau Barcelona Spain
- Department of Psychiatry and Legal MedicineAutonomous University of Barcelona, UAB Barcelona Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM) Madrid Spain
| | | | - Ana Martín‐Blanco
- Department of PsychiatryHospital de la Santa Creu I Sant Pau, IIB‐Sant Pau Barcelona Spain
- Department of Psychiatry and Legal MedicineAutonomous University of Barcelona, UAB Barcelona Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM) Madrid Spain
| | - Edith Pomarol‐Clotet
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM) Madrid Spain
- FIDMAG Germanes Hospitalàries Research Foundation Barcelona Spain
| | - Raymond Salvador
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM) Madrid Spain
- FIDMAG Germanes Hospitalàries Research Foundation Barcelona Spain
| | - Saül Martinez‐Horta
- Movement Disorders Unit, Neurology DepartmentHospital de la Santa Creu i Sant Pau, IIB‐Sant Pau Barcelona Spain
| | - Juan C. Pascual
- Department of PsychiatryHospital de la Santa Creu I Sant Pau, IIB‐Sant Pau Barcelona Spain
- Department of Psychiatry and Legal MedicineAutonomous University of Barcelona, UAB Barcelona Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM) Madrid Spain
| |
Collapse
|