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Booth RW, Mackintosh B, Hasşerbetçi S. Probability, cost, and interpretation biases' relationships with depressive and anxious symptom severity: differential mediation by worry and repetitive negative thinking. Cogn Emot 2024:1-16. [PMID: 38693727 DOI: 10.1080/02699931.2024.2348031] [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: 02/07/2024] [Accepted: 04/20/2024] [Indexed: 05/03/2024]
Abstract
People high in depressive or anxious symptom severity show repetitive negative thinking, including worry and rumination. They also show various cognitive phenomena, including probability, cost, and interpretation biases. Since there is conceptual overlap between these cognitive biases and repetitive negative thinking - all involve thinking about potential threats and misfortunes - we wondered whether repetitive negative thinking could account for (mediate) these cognitive biases' associations with depressive and anxious symptom severity. In three studies, conducted in two languages and cultures, cost bias and (in two studies) interpretation bias only predicted symptom severity via worry and repetitive negative thinking; this suggests these biases are actually associated with repetitive negative thinking, rather than with symptoms. In contrast, probability bias showed direct relationships with depressive (all studies) and anxious (two studies) symptom severity, suggesting its relationships with symptoms are partly independent of repetitive negative thinking. These results show the value of studying relationships among the various cognitive features of psychopathology. Furthermore, new interventions which target cognitive biases in depression or anxiety must show that they can improve upon cognitive behavioural therapy, which is already widely available, targets both repetitive negative thinking and probability bias, and is highly effective.
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Affiliation(s)
- Robert W Booth
- Faculty of Arts and Social Sciences, Sabanci University, Istanbul, Turkey
| | | | - Servet Hasşerbetçi
- Faculty of Arts and Social Sciences, Sabanci University, Istanbul, Turkey
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2
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Hu Y, Wu X, Li S, Liu P, Wang D. Imagine before you leap: Episodic future thinking combined with transcranial direct current stimulation training for impulsive choice in repetitive negative thinking. Int J Clin Health Psychol 2024; 24:100455. [PMID: 38577657 PMCID: PMC10992705 DOI: 10.1016/j.ijchp.2024.100455] [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: 11/23/2023] [Accepted: 03/25/2024] [Indexed: 04/06/2024] Open
Abstract
Background Immediate reward preference in repetitive negative thinking (RNT) has a high clinical correlation with a variety of maladaptive behaviors, whereas episodic future thinking (EFT) may be conducive to dealing with non-adaptive thinking and decision-making. Objectives This study aimed to evaluate the efficacy of EFT training combined with transcranial direct current stimulation (tDCS) stimulation over the ventromedial PFC (vmPFC) in inhibiting impulsive choice of RNT individuals. Method Study 1 explored the effects of EFT on immediate reward preference of participants with high and low RNT (N = 48). Study 2 conducted a randomized controlled trial (RCT) to examine the treatment effect of the EFT-neural training on impulsive choice of high RNT individuals (N = 103). Results In study 1, individuals with high RNT were more likely to choose smaller and sooner (SS) rewards, however, there were no significant differences between the high-RNT group and the low-RNT group under the positive EFT condition. In study 2, a significant decrease was shown in the proportion of choosing SS rewards under the 8-week EFT-neural training, and the effect was maintained at 1 month follow-up. Conclusion RNT is a vulnerability factor for short-sighted behaviors, and EFT-neural training could be suitable for reducing RNT and improving immediate reward preference.
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Affiliation(s)
| | | | - Shuyi Li
- School of Psychology, Shandong Normal University, China
| | - Peiyao Liu
- School of Psychology, Shandong Normal University, China
| | - Dawei Wang
- School of Psychology, Shandong Normal University, China
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3
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Sanchez SM, Tsuchiyagaito A, Kuplicki R, Park H, Postolski I, Rohan M, Paulus MP, Guinjoan SM. Repetitive Negative Thinking-Specific and -Nonspecific White Matter Tracts Engaged by Historical Psychosurgical Targets for Depression. Biol Psychiatry 2023; 94:661-671. [PMID: 36965550 PMCID: PMC10517085 DOI: 10.1016/j.biopsych.2023.03.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 03/06/2023] [Accepted: 03/09/2023] [Indexed: 03/27/2023]
Abstract
BACKGROUND Repetitive negative thinking (RNT) is a frequent symptom of major depressive disorder (MDD) that is associated with poor outcomes and treatment resistance. While most studies on RNT have focused on structural and functional characteristics of gray matter, this study aimed to examine the association between white matter (WM) tracts and interindividual variability in RNT. METHODS A probabilistic tractography approach was used to characterize differences in the size and anatomical trajectory of WM fibers traversing psychosurgery targets historically useful in the treatment of MDD (anterior capsulotomy, anterior cingulotomy, and subcaudate tractotomy) in patients with MDD and low (n = 53) or high (n = 52) RNT, and healthy control subjects (n = 54). MDD samples were propensity matched on depression and anxiety severity and demographics. RESULTS WM tracts traversing left hemisphere targets and reaching the ventral anterior body of the corpus callosum (thus extending to contralateral regions) were larger in the high-RNT MDD group compared with low-RNT (effect size D = 0.27, p = .042) and healthy control (D = 0.23, p = .02) groups. MDD was associated with greater size of tracts that converge onto the right medial orbitofrontal cortex regardless of RNT intensity. Other RNT-nonspecific findings in MDD involved tracts reaching the left primary motor and right primary somatosensory cortices. CONCLUSIONS This study provides the first evidence to our knowledge that WM connectivity patterns, which could become targets of intervention, differ between high- and low-RNT participants with MDD. These WM differences extend to circuits that are not specific to RNT, possibly subserving reward mechanisms and psychomotor activity.
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Affiliation(s)
| | - Aki Tsuchiyagaito
- Laureate Institute for Brain Research, Tulsa, Oklahoma; Research Center for Child Mental Development, Chiba University, Chiba, Japan
| | | | - Heekyeong Park
- Laureate Institute for Brain Research, Tulsa, Oklahoma; Department of Psychology, University of North Texas, Dallas, Texas
| | - Ivan Postolski
- Institute for Research in Computational Sciences, National Scientific and Technical Research Council-University of Buenos Aires, Buenos Aires, Argentina
| | - Michael Rohan
- Laureate Institute for Brain Research, Tulsa, Oklahoma
| | - Martin P Paulus
- Laureate Institute for Brain Research, Tulsa, Oklahoma; Oxley College of Health Sciences, University of Tulsa, Tulsa, Oklahoma
| | - Salvador M Guinjoan
- Laureate Institute for Brain Research, Tulsa, Oklahoma; Department of Psychiatry, Oklahoma University Health Sciences Center, Tulsa, Oklahoma.
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Solé-Padullés C, Cattaneo G, Marchant NL, Cabello-Toscano M, Mulet-Pons L, Solana J, Bargalló N, Tormos JM, Pascual-Leone Á, Bartrés-Faz D. Associations between repetitive negative thinking and resting-state network segregation among healthy middle-aged adults. Front Aging Neurosci 2022; 14:1062887. [PMID: 36589537 PMCID: PMC9797808 DOI: 10.3389/fnagi.2022.1062887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 11/28/2022] [Indexed: 12/23/2022] Open
Abstract
Background Repetitive Negative Thinking (RNT) includes negative thoughts about the future and past, and is a risk factor for depression and anxiety. Prefrontal and anterior cingulate cortices have been linked to RNT but several regions within large-scale networks are also involved, the efficiency of which depends on their ability to remain segregated. Methods Associations between RNT and system segregation (SyS) of the Anterior Salience Network (ASN), Default Mode Network (DMN) and Executive Control Network (ECN) were explored in healthy middle-aged adults (N = 341), after undergoing resting-state functional magnetic resonance imaging. Regression analyses were conducted with RNT as outcome variable. Explanatory variables were: SyS, depression, emotional stability, cognitive complaints, age and sex. Results Analyses indicated that RNT was associated with depression, emotional stability, cognitive complaints, age and segregation of the left ECN (LECN) and ASN. Further, the ventral DMN (vDMN) presented higher connectivity with the ASN and decreased connectivity with the LECN, as a function of RNT. Conclusion Higher levels of perseverative thinking were related to increased segregation of the LECN and decreased segregation of the ASN. The dissociative connectivity of these networks with the vDMN may partially account for poorer cognitive control and increased self-referential processes characteristic of RNT.
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Affiliation(s)
- Cristina Solé-Padullés
- Department of Medicine, Faculty of Medicine and Health Sciences; Institute of Neurosciences, University of Barcelona, Barcelona, Spain,Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Gabriele Cattaneo
- Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Barcelona, Spain
| | | | - María Cabello-Toscano
- Department of Medicine, Faculty of Medicine and Health Sciences; Institute of Neurosciences, University of Barcelona, Barcelona, Spain,Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Lídia Mulet-Pons
- Department of Medicine, Faculty of Medicine and Health Sciences; Institute of Neurosciences, University of Barcelona, Barcelona, Spain,Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Javier Solana
- Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Barcelona, Spain
| | - Núria Bargalló
- Magnetic Resonance Image Core Facility, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Josep M. Tormos
- Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Barcelona, Spain
| | - Álvaro Pascual-Leone
- Magnetic Resonance Image Core Facility, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain,Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Harvard Medical School, Boston, MA, United States
| | - David Bartrés-Faz
- Department of Medicine, Faculty of Medicine and Health Sciences; Institute of Neurosciences, University of Barcelona, Barcelona, Spain,Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain,Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Barcelona, Spain,*Correspondence: David Bartrés-Faz,
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Philippi CL, Leutzinger K, Pessin S, Cassani A, Mikel O, Walsh EC, Hoks RM, Birn RM, Abercrombie HC. Neural signal variability relates to maladaptive rumination in depression. J Psychiatr Res 2022; 156:570-578. [PMID: 36368247 PMCID: PMC9817305 DOI: 10.1016/j.jpsychires.2022.10.070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 10/28/2022] [Accepted: 10/31/2022] [Indexed: 11/05/2022]
Abstract
Rumination is a common feature of depression and predicts the onset and maintenance of depressive episodes. Maladaptive and adaptive subtypes of rumination contribute to distinct outcomes, with brooding worsening negative mood and reflection related to fewer depression symptoms in healthy populations. Neuroimaging studies have implicated several cortical midline and lateral prefrontal brain regions in rumination. Recent research indicates that blood oxygen level-dependent (BOLD) signal variability may be a novel predictor of cognitive flexibility. However, no prior studies have investigated whether brooding and reflection are associated with distinct patterns of BOLD signal variability in depression. We collected resting-state fMRI data for 79 women with different depression histories: no history, past history, and current depression. We examined differences in BOLD signal variability (BOLDSD) related to rumination subtypes for the following regions of interest previously implicated in rumination: amygdala, medial prefrontal, anterior cingulate, posterior cingulate, and dorsolateral prefrontal cortices (dlPFC). Rumination subtype was associated with BOLDSD in the dlPFC, with greater levels of brooding associated with lower BOLDSD in the dlPFC, even after controlling for depression severity. Depression history was related to BOLDSD in the dlPFC, with reduced BOLDSD in those with current depression versus no history of depression. These findings provide a novel demonstration of the neural circuitry associated with maladaptive rumination in depression and implicate decreased prefrontal neural signal variability in the pathophysiology of depression.
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Affiliation(s)
- Carissa L Philippi
- Department of Psychological Sciences, University of Missouri-St. Louis, 1 University Blvd., St. Louis, Missouri, 63121, USA.
| | - Katie Leutzinger
- Department of Psychological Sciences, University of Missouri-St. Louis, 1 University Blvd., St. Louis, Missouri, 63121, USA
| | - Sally Pessin
- Department of Psychological Sciences, University of Missouri-St. Louis, 1 University Blvd., St. Louis, Missouri, 63121, USA
| | - Alexis Cassani
- Department of Psychological Sciences, University of Missouri-St. Louis, 1 University Blvd., St. Louis, Missouri, 63121, USA
| | - Olivia Mikel
- Department of Psychological Sciences, University of Missouri-St. Louis, 1 University Blvd., St. Louis, Missouri, 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, 625 W. Washington Ave., Madison, WI, 53703, USA
| | - Rasmus M Birn
- Department of Psychiatry, University of Wisconsin-Madison, University of Wisconsin-Madison, 6001 Research Park Blvd., Madison, WI, 53719, USA
| | - Heather C Abercrombie
- Center for Healthy Minds, University of Wisconsin-Madison, 625 W. Washington Ave., Madison, WI, 53703, USA
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Schwarz C, Benson GS, Antonenko D, Horn N, Köbe T, Klimecki O, Sommer W, Wirth M, Flöel A. Negative affective burden is associated with higher resting-state functional connectivity in subjective cognitive decline. Sci Rep 2022; 12:6212. [PMID: 35418579 PMCID: PMC9007949 DOI: 10.1038/s41598-022-10179-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 03/31/2022] [Indexed: 11/09/2022] Open
Abstract
Subjective cognitive decline (SCD), as expressed by older adults, is associated with negative affect, which, in turn, is a likely risk factor for Alzheimer's Disease (AD). This study assessed the associations between negative affective burden, cognitive functioning, and functional connectivity in networks vulnerable to AD in the context of SCD. Older participants (60-90 years) with SCD (n = 51) and healthy controls (n = 50) were investigated in a cross-sectional study. Subclinical negative affective burden, quantified through a composite of self-reported negative affective factors, was related to cognitive functioning (self-perceived and objective) and functional connectivity. Seed-to-voxel analyses were carried out in default mode network (DMN) and salience network (SAL) nodes using resting-state functional magnetic resonance imaging. Greater negative affective burden was associated with lower self-perceived cognitive functioning and lower between-network functional connectivity of DMN and SAL nodes in the total sample. In addition, there was a significant moderation of SCD status. Greater negative affective burden related to higher functional connectivity within DMN (posterior cingulate-to-precuneus) and within SAL (anterior cingulate-to-insula) nodes in the SCD group, whereas in controls the inverse association was found. We show that negative affective burden is associated with functional brain alterations in older adults, regardless of SCD status. Specifically in the SCD phenotype, greater negative affective burden relates to higher functional connectivity within brain networks vulnerable to AD. Our findings imply that negative affective burden should be considered a potentially modifiable target for early intervention.
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Affiliation(s)
- Claudia Schwarz
- Department of Neurology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
- NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.
| | - Gloria S Benson
- Department of Neurology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Geriatric Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Daria Antonenko
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany
| | - Nora Horn
- Department of Neurology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Theresa Köbe
- German Centre for Neurodegenerative Diseases, DZNE, Dresden, Germany
| | - Olga Klimecki
- Psychology Department, Technische Universität Dresden, Dresden, Germany
| | - Werner Sommer
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Psychology, Zhejiang Normal University, Jin Hua, China
| | - Miranka Wirth
- NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
- German Centre for Neurodegenerative Diseases, DZNE, Dresden, Germany.
| | - Agnes Flöel
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Greifswald, Germany
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7
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Touron E, Moulinet I, Kuhn E, Sherif S, Ourry V, Landeau B, Mézenge F, Vivien D, Klimecki OM, Poisnel G, Marchant NL, Chételat G. Depressive symptoms in cognitively unimpaired older adults are associated with lower structural and functional integrity in a frontolimbic network. Mol Psychiatry 2022; 27:5086-5095. [PMID: 36258017 PMCID: PMC9763117 DOI: 10.1038/s41380-022-01772-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Revised: 08/19/2022] [Accepted: 08/30/2022] [Indexed: 01/14/2023]
Abstract
Subclinical depressive symptoms are associated with increased risk of Alzheimer's disease (AD), but the brain mechanisms underlying this relationship are still unclear. We aimed to provide a comprehensive overview of the brain substrates of subclinical depressive symptoms in cognitively unimpaired older adults using complementary multimodal neuroimaging data. We included cognitively unimpaired older adults from the baseline data of the primary cohort Age-Well (n = 135), and from the replication cohort ADNI (n = 252). In both cohorts, subclinical depressive symptoms were assessed using the 15-item version of the Geriatric Depression Scale; based on this scale, participants were classified as having depressive symptoms (>0) or not (0). Voxel-wise between-group comparisons were performed to highlight differences in gray matter volume, glucose metabolism and amyloid deposition; as well as white matter integrity (only available in Age-Well). Age-Well participants with subclinical depressive symptoms had lower gray matter volume in the hippocampus and lower white matter integrity in the fornix and the posterior parts of the cingulum and corpus callosum, compared to participants without symptoms. Hippocampal atrophy was recovered in ADNI, where participants with subclinical depressive symptoms also showed glucose hypometabolism in the hippocampus, amygdala, precuneus/posterior cingulate cortex, medial and dorsolateral prefrontal cortex, insula, and temporoparietal cortex. Subclinical depressive symptoms were not associated with brain amyloid deposition in either cohort. Subclinical depressive symptoms in ageing are linked with neurodegeneration biomarkers in the frontolimbic network including brain areas particularly sensitive to AD. The relationship between depressive symptoms and AD may be partly underpinned by neurodegeneration in common brain regions.
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Affiliation(s)
- Edelweiss Touron
- grid.412043.00000 0001 2186 4076Unité 1237 PhIND “Physiopathology and Imaging of Neurological Disorders”, Institut National de la Santé et de la Recherche Médicale, Blood and Brain @ Caen-Normandie, GIP Cyceron, Normandie Université, Université de Caen, Caen, France
| | - Inès Moulinet
- grid.412043.00000 0001 2186 4076Unité 1237 PhIND “Physiopathology and Imaging of Neurological Disorders”, Institut National de la Santé et de la Recherche Médicale, Blood and Brain @ Caen-Normandie, GIP Cyceron, Normandie Université, Université de Caen, Caen, France
| | - Elizabeth Kuhn
- grid.412043.00000 0001 2186 4076Unité 1237 PhIND “Physiopathology and Imaging of Neurological Disorders”, Institut National de la Santé et de la Recherche Médicale, Blood and Brain @ Caen-Normandie, GIP Cyceron, Normandie Université, Université de Caen, Caen, France
| | - Siya Sherif
- grid.412043.00000 0001 2186 4076Unité 1237 PhIND “Physiopathology and Imaging of Neurological Disorders”, Institut National de la Santé et de la Recherche Médicale, Blood and Brain @ Caen-Normandie, GIP Cyceron, Normandie Université, Université de Caen, Caen, France
| | - Valentin Ourry
- grid.412043.00000 0001 2186 4076Unité 1237 PhIND “Physiopathology and Imaging of Neurological Disorders”, Institut National de la Santé et de la Recherche Médicale, Blood and Brain @ Caen-Normandie, GIP Cyceron, Normandie Université, Université de Caen, Caen, France ,grid.412043.00000 0001 2186 4076Unité 1077 NIMH “Neuropsychologie et Imagerie de la Mémoire Humaine,” Institut National de la Santé et de la Recherche Médicale, Normandie Université, Université de Caen, PSL Université, EPHE, CHU de Caen-Normandie, GIP Cyceron, Caen, France
| | - Brigitte Landeau
- grid.412043.00000 0001 2186 4076Unité 1237 PhIND “Physiopathology and Imaging of Neurological Disorders”, Institut National de la Santé et de la Recherche Médicale, Blood and Brain @ Caen-Normandie, GIP Cyceron, Normandie Université, Université de Caen, Caen, France
| | - Florence Mézenge
- grid.412043.00000 0001 2186 4076Unité 1237 PhIND “Physiopathology and Imaging of Neurological Disorders”, Institut National de la Santé et de la Recherche Médicale, Blood and Brain @ Caen-Normandie, GIP Cyceron, Normandie Université, Université de Caen, Caen, France
| | - Denis Vivien
- grid.412043.00000 0001 2186 4076Unité 1237 PhIND “Physiopathology and Imaging of Neurological Disorders”, Institut National de la Santé et de la Recherche Médicale, Blood and Brain @ Caen-Normandie, GIP Cyceron, Normandie Université, Université de Caen, Caen, France ,grid.411149.80000 0004 0472 0160Département de Recherche Clinique, CHU de Caen-Normandie, Caen, France
| | - Olga M. Klimecki
- grid.4488.00000 0001 2111 7257Clinical Psychology and Behavioral Neuroscience, Faculty of Psychology, Technische Universität Dresden, 01187 Dresden, Germany
| | - Géraldine Poisnel
- grid.412043.00000 0001 2186 4076Unité 1237 PhIND “Physiopathology and Imaging of Neurological Disorders”, Institut National de la Santé et de la Recherche Médicale, Blood and Brain @ Caen-Normandie, GIP Cyceron, Normandie Université, Université de Caen, Caen, France
| | - Natalie L. Marchant
- grid.83440.3b0000000121901201Division of Psychiatry, University College London, London, UK
| | - Gaël Chételat
- Unité 1237 PhIND "Physiopathology and Imaging of Neurological Disorders", Institut National de la Santé et de la Recherche Médicale, Blood and Brain @ Caen-Normandie, GIP Cyceron, Normandie Université, Université de Caen, Caen, France.
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