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Treves IN, Kucyi A, Park M, Kral TRA, Goldberg SB, Davidson RJ, Rosenkranz M, Whitfield-Gabrieli S, Gabrieli JDE. Connectome predictive modeling of trait mindfulness. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.09.602725. [PMID: 39026870 PMCID: PMC11257611 DOI: 10.1101/2024.07.09.602725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/20/2024]
Abstract
Introduction Trait mindfulness refers to one's disposition or tendency to pay attention to their experiences in the present moment, in a non-judgmental and accepting way. Trait mindfulness has been robustly associated with positive mental health outcomes, but its neural underpinnings are poorly understood. Prior resting-state fMRI studies have associated trait mindfulness with within- and between-network connectivity of the default-mode (DMN), fronto-parietal (FPN), and salience networks. However, it is unclear how generalizable the findings are, how they relate to different components of trait mindfulness, and how other networks and brain areas may be involved. Methods To address these gaps, we conducted the largest resting-state fMRI study of trait mindfulness to-date, consisting of a pre-registered connectome predictive modeling analysis in 367 adults across three samples collected at different sites. Results In the model-training dataset, we did not find connections that predicted overall trait mindfulness, but we identified neural models of two mindfulness subscales, Acting with Awareness and Non-judging. Models included both positive networks (sets of pairwise connections that positively predicted mindfulness with increasing connectivity) and negative networks, which showed the inverse relationship. The Acting with Awareness and Non-judging positive network models showed distinct network representations involving FPN and DMN, respectively. The negative network models, which overlapped significantly across subscales, involved connections across the whole brain with prominent involvement of somatomotor, visual and DMN networks. Only the negative networks generalized to predict subscale scores out-of-sample, and not across both test datasets. Predictions from both models were also negatively correlated with predictions from a well-established mind-wandering connectome model. Conclusions We present preliminary neural evidence for a generalizable connectivity models of trait mindfulness based on specific affective and cognitive facets. However, the incomplete generalization of the models across all sites and scanners, limited stability of the models, as well as the substantial overlap between the models, underscores the difficulty of finding robust brain markers of mindfulness facets.
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Affiliation(s)
- Isaac N Treves
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA
| | - Aaron Kucyi
- Department of Psychological & Brain Sciences, Drexel University, Philadelphia, PA
| | - Madelynn Park
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA
| | - Tammi R A Kral
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI
| | - Simon B Goldberg
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI
- Department of Counseling Psychology, University of Wisconsin-Madison, Madison, WI
| | - Richard J Davidson
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI
- Department of Psychology, University of Wisconsin-Madison, Madison, WI
| | - Melissa Rosenkranz
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI
| | - Susan Whitfield-Gabrieli
- Department of Psychology, Northeastern University, Boston, MA
- Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - John D E Gabrieli
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA
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2
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Kucyi A, Kam JWY, Andrews-Hanna JR, Christoff K, Whitfield-Gabrieli S. Recent advances in the neuroscience of spontaneous and off-task thought: implications for mental health. NATURE MENTAL HEALTH 2023; 1:827-840. [PMID: 37974566 PMCID: PMC10653280 DOI: 10.1038/s44220-023-00133-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 08/25/2023] [Indexed: 11/19/2023]
Abstract
People spend a remarkable 30-50% of awake life thinking about something other than what they are currently doing. These experiences of being "off-task" can be described as spontaneous thought when mental dynamics are relatively flexible. Here we review recent neuroscience developments in this area and consider implications for mental wellbeing and illness. We provide updated overviews of the roles of the default mode network and large-scale network dynamics, and we discuss emerging candidate mechanisms involving hippocampal memory (sharp-wave ripples, replay) and neuromodulatory (noradrenergic and serotonergic) systems. We explore how distinct brain states can be associated with or give rise to adaptive and maladaptive forms of thought linked to distinguishable mental health outcomes. We conclude by outlining new directions in the neuroscience of spontaneous and off-task thought that may clarify mechanisms, lead to personalized biomarkers, and facilitate therapy developments toward the goals of better understanding and improving mental health.
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Affiliation(s)
- Aaron Kucyi
- Department of Psychological and Brain Sciences, Drexel University
| | - Julia W. Y. Kam
- Department of Psychology and Hotchkiss Brain Institute, University of Calgary
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3
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Mulholland B, Goodall-Halliwell I, Wallace R, Chitiz L, Mckeown B, Rastan A, Poerio GL, Leech R, Turnbull A, Klein A, Milham M, Wammes JD, Jefferies E, Smallwood J. Patterns of ongoing thought in the real world. Conscious Cogn 2023; 114:103530. [PMID: 37619452 DOI: 10.1016/j.concog.2023.103530] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 04/09/2023] [Accepted: 05/08/2023] [Indexed: 08/26/2023]
Abstract
Health and well-being are impacted by our thoughts and the things we do. In the laboratory, studies suggest specific task contexts impact thought processes. More broadly, this suggests the people we are with, the places we are in, and the activities we perform may influence our thought patterns. In our study, participants completed experience sampling surveys for five days in daily life. Principal component analysis decomposed this data to identify common "patterns of thought," and linear mixed modelling related these patterns to the participants' activities. Our study replicated the influence of socializing on patterns of thought and established that this is part of a broader set of relationships linking activities to how thoughts are organized in daily life. Our study suggests sampling thinking in the real world may help map thoughts to activities, and these "thought-activity" mappings could be useful to researchers and health care professionals interested in health and well-being.
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Affiliation(s)
| | | | - Raven Wallace
- Department of Psychology, Queen's University, Canada
| | - Louis Chitiz
- Department of Psychology, Queen's University, Canada
| | | | | | - Giulia L Poerio
- School of Psychology, University of Sussex, England, United Kingdom
| | - Robert Leech
- Department of Neuroimaging, King's College, England, United Kingdom
| | - Adam Turnbull
- Department of Psychiatry and Behavioral Sciences, Stanford University, USA; Department of Brain and Cognitive Sciences, University of Rochester, USA
| | | | | | - Jeffrey D Wammes
- Centre for Neuroscience Studies, Queen's University, Canada; Department of Psychology, Queen's University, Canada
| | | | - Jonathan Smallwood
- Centre for Neuroscience Studies, Queen's University, Canada; Department of Psychology, Queen's University, Canada
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4
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Ryan NP, Catroppa C, Ward SC, Yeates KO, Crossley L, Hollenkamp M, Hearps S, Beauchamp MH, Anderson VA. Association of neurostructural biomarkers with secondary attention-deficit/hyperactivity disorder (ADHD) symptom severity in children with traumatic brain injury: a prospective cohort study. Psychol Med 2023; 53:5291-5300. [PMID: 36004807 PMCID: PMC10476057 DOI: 10.1017/s0033291722002598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 07/11/2022] [Accepted: 07/22/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND Despite a well-established link between childhood traumatic brain injury (TBI) and elevated secondary attention-deficit/hyperactivity disorder (s-ADHD) symptomology, the neurostructural correlates of these symptoms are largely unknown. Based on the influential 'triple-network model' of ADHD, this prospective longitudinal investigation aimed to (i) assess the effect of childhood TBI on brain morphometry of higher-order cognitive networks proposed to play a key role in ADHD pathophysiology, including the default-mode network (DMN), salience network (SN) and central executive network (CEN); and (ii) assess the independent prognostic value of DMN, SN and CEN morphometry in predicting s-ADHD symptom severity after childhood TBI. METHODS The study sample comprised 155 participants, including 112 children with medically confirmed mild-severe TBI ascertained from consecutive hospital admissions, and 43 typically developing (TD) children matched for age, sex and socio-economic status. High-resolution structural brain magnetic resonance imaging (MRI) sequences were acquired sub-acutely in a subset of 103 children with TBI and 34 TD children. Parents completed well-validated measures of ADHD symptom severity at 12-months post injury. RESULTS Relative to TD children and those with milder levels of TBI severity (mild, complicated mild, moderate), children with severe TBI showed altered brain morphometry within large-scale, higher-order cognitive networks, including significantly diminished grey matter volumes within the DMN, SN and CEN. When compared with the TD group, the TBI group showed significantly higher ADHD symptomatology and higher rates of clinically elevated symptoms. In multivariable models adjusted for other well-established risk factors, altered DMN morphometry independently predicted higher s-ADHD symptomatology at 12-months post-injury, whilst SN and CEN morphometry were not significant independent predictors. CONCLUSIONS Our prospective study findings suggest that neurostructural alterations within higher-order cognitive circuitry may represent a prospective risk factor for s-ADHD symptomatology at 12-months post-injury in children with TBI. High-resolution structural brain MRI has potential to provide early prognostic biomarkers that may help early identification of high-risk children with TBI who are likely to benefit from early surveillance and preventive measures to optimise long-term neuropsychiatric outcomes.
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Affiliation(s)
- Nicholas P. Ryan
- Cognitive Neuroscience Unit, Deakin University, Geelong, Australia
- Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia
- Department of Paediatrics, University of Melbourne, Australia
| | - Cathy Catroppa
- Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia
- Department of Paediatrics, University of Melbourne, Australia
| | | | - Keith Owen Yeates
- Department of Psychology, Hotchkiss Brain Institute, and Alberta Children's Hospital Research Institute, The University of Calgary, Calgary, Alberta, Canada
| | - Louise Crossley
- Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia
| | | | - Stephen Hearps
- Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia
| | - Miriam H. Beauchamp
- Department of Psychology, University of Montreal, Montreal, Canada
- Ste-Justine Research Center, Montreal, Quebec, Canada
| | - Vicki A. Anderson
- Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Australia
- Department of Paediatrics, University of Melbourne, Australia
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5
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Wang R, Fan Y, Wu Y, Zang YF, Zhou C. Lifespan associations of resting-state brain functional networks with ADHD symptoms. iScience 2022; 25:104673. [PMID: 35832890 PMCID: PMC9272385 DOI: 10.1016/j.isci.2022.104673] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 04/26/2022] [Accepted: 06/21/2022] [Indexed: 12/04/2022] Open
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is increasingly being diagnosed in both children and adults, but the neural mechanisms that underlie its distinct symptoms and whether children and adults share the same mechanism remain poorly understood. Here, we used a nested-spectral partition approach to study resting-state brain networks of ADHD patients (n = 97) and healthy controls (HCs, n = 97) across the lifespan (7-50 years). Compared to the linear lifespan associations of brain segregation and integration with age in HCs, ADHD patients have a quadratic association in the whole-brain and in most functional systems, whereas the limbic system dominantly affected by ADHD has a linear association. Furthermore, the limbic system better predicts hyperactivity, and the salient attention system better predicts inattention. These predictions are shared in children and adults with ADHD. Our findings reveal a lifespan association of brain networks with ADHD and provide potential shared neural bases of distinct ADHD symptoms in children and adults.
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Affiliation(s)
- Rong Wang
- State Key Laboratory for Strength and Vibration of Mechanical Structures, School of Aerospace Engineering, Xi’an Jiaotong University, Xi’an 710049, China
- Department of Physics, Centre for Nonlinear Studies, Beijing-Hong Kong-Singapore Joint Centre for Nonlinear and Complex Systems (Hong Kong), Institute of Computational and Theoretical Studies, Hong Kong Baptist University, Hong Kong
- College of Science, Xi’an University of Science and Technology, Xi’an 710054, China
| | - Yongchen Fan
- College of Science, Xi’an University of Science and Technology, Xi’an 710054, China
| | - Ying Wu
- College of Science, Xi’an University of Science and Technology, Xi’an 710054, China
| | - Yu-Feng Zang
- Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China
- Institute of Psychological Sciences, Hangzhou Normal University, Hangzhou, Zhejiang, China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang, China
| | - Changsong Zhou
- Department of Physics, Centre for Nonlinear Studies, Beijing-Hong Kong-Singapore Joint Centre for Nonlinear and Complex Systems (Hong Kong), Institute of Computational and Theoretical Studies, Hong Kong Baptist University, Hong Kong
- Department of Physics, Zhejiang University, Hangzhou 310027, China
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6
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Jaeschke RR. Missing trials from regulatory document of methylphenidate for adults with ADHD: response to Boesen et al. J Clin Epidemiol 2021; 145:185-186. [PMID: 34923025 DOI: 10.1016/j.jclinepi.2021.12.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Accepted: 12/14/2021] [Indexed: 11/18/2022]
Affiliation(s)
- Rafał R Jaeschke
- Section of Affective Disorders, Department of Psychiatry, Jagiellonian University Medical College, Krakow, Poland.
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7
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Turnbull A, Poerio GL, Ho NS, Martinon LM, Riby LM, Lin FV, Jefferies E, Smallwood J. Age-related changes in ongoing thought relate to external context and individual cognition. Conscious Cogn 2021; 96:103226. [PMID: 34689074 DOI: 10.1016/j.concog.2021.103226] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 08/12/2021] [Accepted: 10/10/2021] [Indexed: 10/20/2022]
Abstract
Understanding how age-related changes in cognition manifest in the real world is an important goal. One means of capturing these changes involves "experience sampling" participant's self-reported thoughts. Research has shown age-related changes in ongoing thought: e.g., older adults have fewer thoughts unrelated to the here-and-now. However, it is currently unclear how these changes reflect cognitive aging or lifestyle changes. 78 younger adults and 35 older adults rated their thought contents along 20 dimensions and the difficulty of their current activity in their daily lives. They also performed cognitive tasks in the laboratory. In a set of exploratory analyses, we found that older adults spent more time thinking positive, wanted thoughts, particularly in demanding contexts, and less time mind wandering about their future selves. Past-related thought related to episodic memory differently in older and younger adults. These findings inform the use of experience sampling to understand cognitive aging.
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Affiliation(s)
- Adam Turnbull
- School of Nursing, University of Rochester Medical Center, Rochester, USA; Department of Imaging Sciences, University of Rochester, USA.
| | - Giulia L Poerio
- Department of Psychology, University of Essex, Colchester, UK
| | - Nerissa Sp Ho
- School of Psychology, University of Plymouth, Plymouth, UK
| | - Léa M Martinon
- LAPSCO CNRS UMR 6024, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Leigh M Riby
- Department of Psychology, Northumbria University, Newcastle, UK
| | - Feng V Lin
- The Wu Tsai Neuroscience Institute, Stanford University, USA
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8
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Jaeschke RR, Sujkowska E, Sowa-Kućma M. Methylphenidate for attention-deficit/hyperactivity disorder in adults: a narrative review. Psychopharmacology (Berl) 2021; 238:2667-2691. [PMID: 34436651 PMCID: PMC8455398 DOI: 10.1007/s00213-021-05946-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 07/31/2021] [Indexed: 12/12/2022]
Abstract
RATIONALE Psychostimulants, including methylphenidate (MPH), are the mainstay of pharmacotherapy for attention-deficit/hyperactivity disorder (ADHD) in adults. Even though MPH is the most commonly used medication for ADHD these days, there are relatively few resources available that provide comprehensive insight into the pharmacological and clinical features of the compound. OBJECTIVE The aim of this paper is to provide an up-to-date outline of the pharmacology and clinical utility of MPH for ADHD in adult patients. METHODS While conducting the narrative review, we applied structured search strategies covering the two major online databases (MEDLINE and Cochrane Central Register of Controlled Trials). In addition, we performed handsearching of reference lists of relevant papers. RESULTS Methylphenidate exhibits multimodal mechanism of action, working primarily as a dopamine and noradrenaline reuptake inhibitor. It also protects the dopaminergic system against the ongoing 'wearing off' (by securing a substantial reserve pool of the neurotransmitter, stored in the presynaptic vesicles). In placebo-controlled trials, MPH was shown to be moderately effective both against the core ADHD symptoms (standardized mean difference [SMD], 0.49; 95% confidence interval [CI], 0.35-0.64), and the accompanying emotion regulation deficits (SMD, 0.34; 95% CI, 0.23-0.45). The most common adverse events related to long-term treatment with MPH are decreased appetite (~ 20%), dry mouth (15%), heart palpitations (13%), gastrointestinal infections (~ 10%), and agitation/feeling restless (~ 10%). CONCLUSIONS There is substantial body of evidence to suggest that MPH is an effective and safe treatment option for adults with ADHD.
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Affiliation(s)
- Rafał R Jaeschke
- Section of Affective Disorders, Department of Psychiatry, Jagiellonian University Medical College, ul. Kopernika 21a, 31-501, Kraków, Poland.
| | - Ewelina Sujkowska
- Department of Human Physiology, Institute of Medical Sciences, Medical College of Rzeszów University, ul. Kopisto 2a, 35-315, Rzeszów, Poland
| | - Magdalena Sowa-Kućma
- Department of Human Physiology, Institute of Medical Sciences, Medical College of Rzeszów University, ul. Kopisto 2a, 35-315, Rzeszów, Poland
- Centre for Innovative Research in Medical and Natural Sciences, Medical College of Rzeszów University, ul. Warzywna 1a, 35-310, Rzeszów, Poland
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9
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Konu D, Mckeown B, Turnbull A, Siu Ping Ho N, Karapanagiotidis T, Vanderwal T, McCall C, Tipper SP, Jefferies E, Smallwood J. Exploring patterns of ongoing thought under naturalistic and conventional task-based conditions. Conscious Cogn 2021; 93:103139. [PMID: 34111726 DOI: 10.1016/j.concog.2021.103139] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 04/17/2021] [Accepted: 04/22/2021] [Indexed: 11/17/2022]
Abstract
Previous research suggests that patterns of ongoing thought are heterogeneous, varying across situations and individuals. The current study investigated the influence of multiple tasks and affective style on ongoing patterns of thought. We used 9 different tasks and measured ongoing thought using multidimensional experience sampling. A Principal Component Analysis of the experience sampling data revealed four patterns of ongoing thought: episodic social cognition, unpleasant intrusive, concentration and self focus. Linear Mixed Modelling was used to conduct a series of exploratory analyses aimed at examining contextual distributions of these thought patterns. We found that different task contexts reliably evoke different thought patterns. Moreover, intrusive and negative thought pattern expression were influenced by individual affective style (depression level). The data establish the influence of task context and intrinsic features on ongoing thought, highlighting the importance of documenting how thought patterns emerge in cognitive tasks with different requirements.
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Affiliation(s)
- Delali Konu
- Department of Psychology, University of York, UK.
| | | | | | | | | | - Tamara Vanderwal
- Department of Psychiatry, University of British Columbia, Canada
| | - Cade McCall
- Department of Psychology, University of York, UK
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10
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Sun Y, Lan Z, Xue SW, Zhao L, Xiao Y, Kuai C, Lin Q, Bao K. Brain state-dependent dynamic functional connectivity patterns in attention-deficit/hyperactivity disorder. J Psychiatr Res 2021; 138:569-575. [PMID: 33991995 DOI: 10.1016/j.jpsychires.2021.05.010] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 04/01/2021] [Accepted: 05/01/2021] [Indexed: 11/28/2022]
Abstract
Attention-deficit/hyperactivity disorder (ADHD) patients have presented aberrant static brain networks, however identifying ADHD patients based on dynamic information in brain networks is not fully clear. Data were obtained from 32 boys with ADHD and 52 sex- and age-matched typically developing controls; a sliding-window method was used to assess dynamic functional connectivity (dFC), and two reoccurring dFC states (the hot and cool states) were then identified using a k-means clustering method. The results showed that ADHD patients had significant changes in occurrence, transitions times and dFC strength of the cingulo-opercular network (CON) and sensorimotor network (SMN) in the cool state. The severity of ADHD symptoms showed significant correlations with the regional amplitude of dFC fluctuations in the ventral medial prefrontal cortex (vmPFC), anterior medial prefrontal cortex (amPFC) and precuneus. These findings could provide insights on the state-dependent dynamic changes in large-scale brain connectivity and network configurations in ADHD.
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Affiliation(s)
- Yunkai Sun
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, 311121, China; Institute of Psychological Science, Hangzhou Normal University, Hangzhou, 311121, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, 311121, China; College of Education, Hangzhou Normal University, Hangzhou, 311121, China; Department of Psychiatry, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310016, China
| | - Zhihui Lan
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, 311121, China; Institute of Psychological Science, Hangzhou Normal University, Hangzhou, 311121, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, 311121, China; College of Education, Hangzhou Normal University, Hangzhou, 311121, China
| | - Shao-Wei Xue
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, 311121, China; Institute of Psychological Science, Hangzhou Normal University, Hangzhou, 311121, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, 311121, China; College of Education, Hangzhou Normal University, Hangzhou, 311121, China.
| | - Lei Zhao
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, 311121, China; Institute of Psychological Science, Hangzhou Normal University, Hangzhou, 311121, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, 311121, China; College of Education, Hangzhou Normal University, Hangzhou, 311121, China
| | - Yang Xiao
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, 311121, China; Institute of Psychological Science, Hangzhou Normal University, Hangzhou, 311121, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, 311121, China; College of Education, Hangzhou Normal University, Hangzhou, 311121, China
| | - Changxiao Kuai
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, 311121, China; Institute of Psychological Science, Hangzhou Normal University, Hangzhou, 311121, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, 311121, China; College of Education, Hangzhou Normal University, Hangzhou, 311121, China
| | - Qiaoyuan Lin
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, 311121, China; Institute of Psychological Science, Hangzhou Normal University, Hangzhou, 311121, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, 311121, China; College of Education, Hangzhou Normal University, Hangzhou, 311121, China
| | - Kangchen Bao
- College of Education, Hangzhou Normal University, Hangzhou, 311121, China
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11
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Varying demands for cognitive control reveals shared neural processes supporting semantic and episodic memory retrieval. Nat Commun 2021; 12:2134. [PMID: 33837220 PMCID: PMC8035200 DOI: 10.1038/s41467-021-22443-2] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 03/09/2021] [Indexed: 12/21/2022] Open
Abstract
The categorisation of long-term memory into semantic and episodic systems has been an influential catalyst for research on human memory organisation. However, the impact of variable cognitive control demands on this classical distinction remains to be elucidated. Across two independent experiments, here we directly compare neural processes for the controlled versus automatic retrieval of semantic and episodic memory. In a multi-session functional magnetic resonance imaging experiment, we first identify a common cluster of cortical activity centred on the left inferior frontal gyrus and anterior insular cortex for the retrieval of both weakly-associated semantic and weakly-encoded episodic memory traces. In an independent large-scale individual difference study, we further reveal a common neural circuitry in which reduced functional interaction between the identified cluster and ventromedial prefrontal cortex, a default mode network hub, is linked to better performance across both memory types. Our results provide evidence for shared neural processes supporting the controlled retrieval of information from functionally distinct long-term memory systems. Making sense of the world around us often requires flexible access to information from both semantic and episodic memory systems. Here, the authors show that controlled retrieval from functionally distinct long-term memory stores is supported by shared neural processes in the human brain.
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12
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Kucyi A, Esterman M, Capella J, Green A, Uchida M, Biederman J, Gabrieli JDE, Valera EM, Whitfield-Gabrieli S. Prediction of stimulus-independent and task-unrelated thought from functional brain networks. Nat Commun 2021; 12:1793. [PMID: 33741956 PMCID: PMC7979817 DOI: 10.1038/s41467-021-22027-0] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 02/23/2021] [Indexed: 12/20/2022] Open
Abstract
Neural substrates of "mind wandering" have been widely reported, yet experiments have varied in their contexts and their definitions of this psychological phenomenon, limiting generalizability. We aimed to develop and test the generalizability, specificity, and clinical relevance of a functional brain network-based marker for a well-defined feature of mind wandering-stimulus-independent, task-unrelated thought (SITUT). Combining functional MRI (fMRI) with online experience sampling in healthy adults, we defined a connectome-wide model of inter-regional coupling-dominated by default-frontoparietal control subnetwork interactions-that predicted trial-by-trial SITUT fluctuations within novel individuals. Model predictions generalized in an independent sample of adults with attention-deficit/hyperactivity disorder (ADHD). In three additional resting-state fMRI studies (total n = 1115), including healthy individuals and individuals with ADHD, we demonstrated further prediction of SITUT (at modest effect sizes) defined using multiple trait-level and in-scanner measures. Our findings suggest that SITUT is represented within a common pattern of brain network interactions across time scales and contexts.
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Affiliation(s)
- Aaron Kucyi
- Department of Psychology, Northeastern University, Boston, MA, USA.
| | - Michael Esterman
- National Center for PTSD & Neuroimaging Research for Veterans Center (NeRVe), Veterans Administration Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
| | - James Capella
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Allison Green
- Clinical and Research Program in Pediatric Psychopharmacology and Adult ADHD, Massachusetts General Hospital, Boston, MA, USA
| | - Mai Uchida
- Clinical and Research Program in Pediatric Psychopharmacology and Adult ADHD, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Joseph Biederman
- Clinical and Research Program in Pediatric Psychopharmacology and Adult ADHD, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - John D E Gabrieli
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
- Athinoula A. Martinos Imaging Center at the McGovern Institute for Brain Research, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Eve M Valera
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Charlestown, MA, USA
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13
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Hua MH, Chen YL, Chen MH, Huang KL, Hsu JW, Bai YM, Tsai SJ, Wu YT. Network-Specific Corticothalamic Dysconnection in Attention-Deficit Hyperactivity Disorder. J Dev Behav Pediatr 2021; 42:122-127. [PMID: 33086337 DOI: 10.1097/dbp.0000000000000875] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Accepted: 08/04/2020] [Indexed: 11/25/2022]
Abstract
BACKGROUND Functional connectivity (FC) is believed to be abnormal in attention-deficit hyperactivity disorder (ADHD). Most studies have focused on frontostriatal systems, and the role of the thalamic network in ADHD remains unclear. The current study used FC magnetic resonance imaging (fcMRI) to explore corticothalamic network properties and correlated network dysconnection with ADHD symptom severity. METHODS Eighteen adolescents with ADHD and 16 healthy controls aged 12 to 17 years underwent resting functional MRI scans, clinical evaluations, and 2 parent rating scales, namely the Swanson, Nolan, and Pelham IV scale and the Child Behavior Checklist. Six a priori cortical regions of interest were used to derive 6 networks: the dorsal default mode network, frontoparietal network, cingulo-opercular network (CON), primary sensorimotor network (SM1), primary auditory network, and primary visual network (V1). The corticothalamic connectivity for each network was calculated for each participant and then compared between the groups. We also compared the 2 scales with the network connectivity. RESULTS The corticothalamic connectivity within the CON was significantly reduced (p < 0.05) among adolescents with ADHD compared with the controls. The corticothalamic dysconnection within the CON, SM1, and V1 networks negatively correlated with ADHD symptom severity. CONCLUSION This network analysis indicates that corticothalamic dysconnection in ADHD involves the CON, SM1, and V1 networks and relates to symptom severity. The findings provide evidence of dysfunctional thalamus-related networks in ADHD.
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Affiliation(s)
- Mao-Hsiu Hua
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan.,Department of Psychiatry, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan
| | - Yen-Ling Chen
- Department of Psychiatry, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan.,Brain Research Center, National Yang-Ming University, Taipei, Taiwan
| | - Mu-Hong Chen
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan.,Brain Research Center, National Yang-Ming University, Taipei, Taiwan
| | - Kai-Lin Huang
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan.,Department of Psychiatry, College of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Ju-Wei Hsu
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan.,Department of Psychiatry, College of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Ya-Mei Bai
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan.,Department of Psychiatry, College of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Shih-Jen Tsai
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan.,Department of Psychiatry, College of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Yu-Te Wu
- Department of Psychiatry, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan.,Brain Research Center, National Yang-Ming University, Taipei, Taiwan
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14
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Pironti VA, Vatansever D, Sahakian BJ. Shared alterations in resting-state brain connectivity in adults with attention-deficit/hyperactivity disorder and their unaffected first-degree relatives. Psychol Med 2021; 51:329-339. [PMID: 31769365 PMCID: PMC7893505 DOI: 10.1017/s0033291719003374] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2019] [Revised: 09/15/2019] [Accepted: 11/04/2019] [Indexed: 01/08/2023]
Abstract
BACKGROUND Attention-deficit/hyperactivity disorder (ADHD) is a developmental condition that often persists into adulthood with extensive negative consequences on quality of life. Despite emerging evidence indicating the genetic basis of ADHD, investigations into the familial expression of latent neurocognitive traits remain limited. METHODS In a group of adult ADHD probands (n = 20), their unaffected first-degree relatives (n = 20) and typically developing control participants (n = 20), we assessed endophenotypic alterations in the default mode network (DMN) connectivity during resting-state functional magnetic resonance imaging in relation to cognitive performance and clinical symptoms. In an external validation step, we also examined the dimensional nature of this neurocognitive trait in a sample of unrelated healthy young adults (n = 100) from the Human Connectome Project (HCP). RESULTS The results illustrated reduced anti-correlations between the posterior cingulate cortex/precuneus and right middle frontal gyrus that was shared between adult ADHD probands and their first-degree relatives, but not with healthy controls. The observed connectivity alterations were linked to higher ADHD symptoms that was mediated by performance in a sustained attention task. Moreover, this brain-based neurocognitive trait dimensionally explained ADHD symptom variability in the HCP sample. CONCLUSIONS Alterations in the default mode connectivity may represent a dimensional endophenotype of ADHD, hence a significant aspect of the neuropathophysiology of this disorder. As such, brain network organisation can potentially be employed as an important neurocognitive trait to enhance statistical power of genetic studies in ADHD and as a surrogate efficacy endpoint in the development of novel pharmaceuticals.
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Affiliation(s)
- Valentino Antonio Pironti
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, UK
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
- Suno Innova Ltd, Unit 6, 109 Cambridge Road Industrial Estate, Cambridge, UK
| | - Deniz Vatansever
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, UK
- Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, PR China
- Division of Anaesthesia, School of Clinical Medicine, University of Cambridge, Cambridge, UK
- Department of Psychology, University of York, Heslington, York, UK
| | - Barbara Jacquelyn Sahakian
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, UK
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
- Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, PR China
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15
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Bozhilova N, Kuntsi J, Rubia K, Michelini G, Asherson P. Electrophysiological modulation of sensory and attentional processes during mind wandering in attention-deficit/hyperactivity disorder. NEUROIMAGE-CLINICAL 2020; 29:102547. [PMID: 33444949 PMCID: PMC7808945 DOI: 10.1016/j.nicl.2020.102547] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 12/18/2020] [Accepted: 12/19/2020] [Indexed: 12/03/2022]
Abstract
Adults with ADHD relative to controls reported lower P1 during high demands on sustained attention. Adults with ADHD also showed lower P1 during task focus, but not during mind wandering than controls. Increased mind wandering frequency in ADHD might account for these between-group effects.
We recently reported increased mind wandering (MW) frequency in adults with attention-deficit/hyperactivity disorder (ADHD) relative to controls during high demands on sustained attention, reflecting deficient context regulation of MW. Studies on community samples previously linked context regulation of MW with attenuation in brain sensory processes, reflecting perceptual decoupling, and attentional processes during MW compared to task focus. However, the association between deficient context regulation of MW and these neural processes has not been studied in ADHD. We addressed this question by comparing adults with ADHD (N = 23) and controls (N = 25) on event-related potentials of early sensory processes (P1) and attention allocation (P3) during tasks manipulating cognitive demands (high vs low) on working memory and sustained attention, and during periods of MW and task focus measured through experience-sampling. Compared to controls, adults with ADHD showed reduced P1 during high sustained attention demands, as well as reduced P3 during high working memory demands. These group differences were no longer significant after adding MW frequency as a covariate. Across tasks, adults with ADHD showed no differences from controls on the P1 during MW episodes, but attenuated P1 during task focus. P3 was reduced in adults with ADHD compared to controls during MW, but not during task focus during the sustained attention task. These findings converge to indicate that impairments in early sensory processing in individuals with ADHD seem parallel to increased MW frequency and might reflect inefficient adjustments from periods of MW to task focus.
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Affiliation(s)
- Natali Bozhilova
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, United Kingdom.
| | - Jonna Kuntsi
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, United Kingdom
| | - Katya Rubia
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College University London, De Crespigny Park, London SE5 8AF, United Kingdom
| | - Giorgia Michelini
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, United Kingdom; Semel Institute for Neuroscience & Human Behavior, University of California Los Angeles, 760 Westwood Plaza, Los Angeles, CA 90024, United States
| | - Philip Asherson
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, United Kingdom.
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16
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Karapanagiotidis T, Jefferies E, Smallwood J. Interactions between the neural correlates of dispositional internally directed thought and visual imagery. Philos Trans R Soc Lond B Biol Sci 2020; 376:20190691. [PMID: 33308072 DOI: 10.1098/rstb.2019.0691] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Cognition is not always directed to the events in the here and now and we often self-generate thoughts and images in imagination. Important aspects of these self-generated experiences are associated with various dispositional traits. In this study, we explored whether these psychological associations relate to a common underlying neurocognitive mechanism. We acquired resting state functional magnetic resonance imaging data from a large cohort of participants and asked them to retrospectively report their experience during the scan. Participants also completed questionnaires reflecting a range of dispositional traits. We found thoughts emphasizing visual imagery at rest were associated with dispositional tendency towards internally directed attention (self-consciousness and attentional problems) and linked to a stronger correlation between a posterior parietal network and a lateral fronto-temporal network. Furthermore, decoupling between the brainstem and a lateral visual network was associated with dispositional internally directed attention. Critically, these brain-cognition associations were related: the correlation between parietal-frontal regions and reports of visual imagery was stronger for individuals with increased connectivity between brainstem and visual cortex. Our results highlight neural mechanisms linked to the dispositional basis for patterns of self-generated thought, and suggest that accounting for dispositional traits is important when exploring the neural substrates of self-generated experience (and vice versa). This article is part of the theme issue 'Offline perception: voluntary and spontaneous perceptual experiences without matching external stimulation'.
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Affiliation(s)
| | - Elizabeth Jefferies
- Department of Psychology, York Neuroimaging Centre, University of York, York YO10 5DD, UK
| | - Jonathan Smallwood
- Department of Psychology, York Neuroimaging Centre, University of York, York YO10 5DD, UK
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17
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Baker BH, Lugo-Candelas C, Wu H, Laue HE, Boivin A, Gillet V, Aw N, Rahman T, Lepage JF, Whittingstall K, Bellenger JP, Posner J, Takser L, Baccarelli AA. Association of Prenatal Acetaminophen Exposure Measured in Meconium With Risk of Attention-Deficit/Hyperactivity Disorder Mediated by Frontoparietal Network Brain Connectivity. JAMA Pediatr 2020; 174:1073-1081. [PMID: 32986124 PMCID: PMC7522774 DOI: 10.1001/jamapediatrics.2020.3080] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 06/06/2020] [Indexed: 12/19/2022]
Abstract
Importance Despite evidence of an association between prenatal acetaminophen exposure and attention-deficit/hyperactivity disorder (ADHD) in offspring, the drug is not contraindicated during pregnancy, possibly because prior studies have relied on maternal self-report, failed to quantify acetaminophen dose, and lacked mechanistic insight. Objective To examine the association between prenatal acetaminophen exposure measured in meconium (hereinafter referred to as meconium acetaminophen) and ADHD in children aged 6 to 7 years, along with the potential for mediation by functional brain connectivity. Design, Setting, and Participants This prospective birth cohort study from the Centre Hospitalier Université de Sherbrooke in Sherbrooke, Québec, Canada, included 394 eligible children, of whom 345 had meconium samples collected at delivery and information on ADHD diagnosis. Mothers were enrolled from September 25, 2007, to September 10, 2009, at their first prenatal care visit or delivery and were followed up when children were aged 6 to 7 years. When children were aged 9 to 11 years, resting-state brain connectivity was assessed with magnetic resonance imaging. Data for the present study were collected from September 25, 2007, to January 18, 2020, and analyzed from January 7, 2019, to January 22, 2020. Exposures Acetaminophen levels measured in meconium. Main Outcomes and Measures Physician diagnosis of ADHD was determined at follow-up when children were aged 6 to 7 years or from medical records. Resting-state brain connectivity was assessed with magnetic resonance imaging; attention problems and hyperactivity were assessed with the Behavioral Assessment System for Children Parent Report Scale. Associations between meconium acetaminophen levels and outcomes were estimated with linear and logistic regressions weighted on the inverse probability of treatment to account for potential confounders. Causal mediation analysis was used to test for mediation of the association between prenatal acetaminophen exposure and hyperactivity by resting-state brain connectivity. Results Among the 345 children included in the analysis (177 boys [51.3%]; mean [SD] age, 6.58 [0.54] years), acetaminophen was detected in 199 meconium samples (57.7%), and ADHD was diagnosed in 33 children (9.6%). Compared with no acetaminophen, detection of acetaminophen in meconium was associated with increased odds of ADHD (odds ratio [OR], 2.43; 95% CI, 1.41-4.21). A dose-response association was detected; each doubling of exposure increased the odds of ADHD by 10% (OR, 1.10; 95% CI, 1.02-1.19). Children with acetaminophen detected in meconium showed increased negative connectivity between frontoparietal and default mode network nodes to clusters in the sensorimotor cortices, which mediated an indirect effect on increased child hyperactivity (14%; 95% CI, 1%-26%). Conclusions and Relevance Together with the multitude of other cohort studies showing adverse neurodevelopment associated with prenatal acetaminophen exposure, this work suggests caution should be used in administering acetaminophen during pregnancy. Research into alternative pain management strategies for pregnant women could be beneficial.
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Affiliation(s)
- Brennan H. Baker
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York
| | - Claudia Lugo-Candelas
- Department of Psychiatry, Columbia University Medical Center, New York, New York
- New York State Psychiatric Institute, New York, New York
| | - Haotian Wu
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York
| | - Hannah E. Laue
- Department of Epidemiology, Geisel School of Medicine at Dartmouth College, Hanover, New Hampshire
| | - Amélie Boivin
- Departement de Pédiatrie, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Virginie Gillet
- Departement de Pédiatrie, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Natalie Aw
- New York State Psychiatric Institute, New York, New York
| | - Tonima Rahman
- New York State Psychiatric Institute, New York, New York
| | - Jean-François Lepage
- Departement de Pédiatrie, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Kevin Whittingstall
- Department of Nuclear Medicine and Radiobiology, Faculty of Medicine and Health Science, Université de Sherbrooke, Sherbrooke, Québec, Canada
- Department of Diagnostic Radiology, Faculty of Medicine and Health Science, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Jean-Philippe Bellenger
- Department of Chemistry, Faculty of Sciences, University of Sherbrooke, Sherbrooke, Québec, Canada
| | - Jonathan Posner
- Department of Psychiatry, Columbia University Medical Center, New York, New York
- New York State Psychiatric Institute, New York, New York
- Sackler Institute for Developmental Psychobiology, Columbia University Medical Center, New York, New York
| | - Larissa Takser
- Departement de Pédiatrie, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, Québec, Canada
- Departement de Psychiatrie, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Andrea A. Baccarelli
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York
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18
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Moukhtarian TR, Reinhard I, Morillas-Romero A, Ryckaert C, Mowlem F, Bozhilova N, Moran P, Ebner-Priemer U, Asherson P. Wandering minds in attention-deficit/hyperactivity disorder and borderline personality disorder. Eur Neuropsychopharmacol 2020; 38:98-109. [PMID: 32703662 DOI: 10.1016/j.euroneuro.2020.07.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Revised: 04/22/2020] [Accepted: 07/06/2020] [Indexed: 01/24/2023]
Abstract
Attention-deficit/hyperactivity Disorder (ADHD) and borderline personality disorder (BPD) have overlapping symptoms. We proposed that excessive spontaneous mind wandering (MW-S) might reflect a component of psychopathology that distinguishes ADHD from BPD. Using a questionnaire measure of MW-S and an experience sampling method, we investigated MW-S in daily life, in 28 ADHD, 19 BPD, 22 comorbid ADHD+BPD, and 29 control females. The clinical groups reported heightened frequency and intensity of MW-S compared to controls, but no differences from each other. When controlling for depression and anxiety, significant differences only persisted between controls and ADHD, who also showed elevated intensity of MW-S compared to BPD and comorbid ADHD+BPD. We found no MW-S instability differences amongst clinical cases as well as cases versus controls. Negative content of MW-S was higher in BPD and comorbid ADHD+BPD compared to controls, with no differences between ADHD and controls. When controlling for depression/anxiety, the differences between BPD and comorbid ADHD+BPD and controls dissipated. MW-S is a trans-diagnostic process present in both ADHD and BPD. Yet, the underlying mechanisms of this experience may be driven by anxiety/depression in BPD but reflect a core process in ADHD.
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Affiliation(s)
- Talar R Moukhtarian
- King's College London, MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, 16 DeCrespigny Park, London SE5 8AF, United Kingdom.
| | - Iris Reinhard
- Central Institute of Mental Health, Division of Biostatistics, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Alfonso Morillas-Romero
- King's College London, MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, 16 DeCrespigny Park, London SE5 8AF, United Kingdom
| | - Celine Ryckaert
- King's College London, MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, 16 DeCrespigny Park, London SE5 8AF, United Kingdom
| | - Florence Mowlem
- King's College London, MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, 16 DeCrespigny Park, London SE5 8AF, United Kingdom
| | - Natali Bozhilova
- King's College London, MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, 16 DeCrespigny Park, London SE5 8AF, United Kingdom
| | - Paul Moran
- Centre for Academic Mental Health, School of Social & Community Medicine, University of Bristol, United Kingdom
| | | | - Philip Asherson
- King's College London, MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, 16 DeCrespigny Park, London SE5 8AF, United Kingdom
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19
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Krakau S, Chaieb L, Helmstaedter C, von Wrede R, Fell J. Reduced past-oriented mind wandering in left compared to right medial temporal lobe epilepsy. Eur J Neurosci 2020; 52:3411-3418. [PMID: 32302022 DOI: 10.1111/ejn.14743] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Revised: 03/26/2020] [Accepted: 04/02/2020] [Indexed: 11/29/2022]
Abstract
Mind wandering refers to a shift of attention away from a task at hand to task-unrelated thoughts. Several groups have shown increased activation of the left medial temporal lobe (MTL) before and during spontaneous thoughts suggesting that the left MTL may play a crucial role in mind wandering. Due to its relevance for long-term memory, we further hypothesized that the left MTL is particularly involved in mind wandering towards the past. Accordingly, we predicted a reduced propensity to mind wander and less past-oriented mind wandering in patients with left MTL epilepsies. To this end, we experimentally investigated mind wandering in 89 in-patients undergoing diagnostic evaluation of their putative epileptic disorder. Patients performed a sustained attention to response task with embedded experience sampling probes aiming to assess occurrence, meta-awareness and temporal orientation (past/present/future) of mind-wandering episodes. We did not find significant differences in the propensity to mind wander between patient subgroups. However, the left MTL epilepsy subgroup showed significantly reduced past-oriented mind wandering compared to right MTL epilepsies, as well as a trend towards diminished past-oriented mind wandering compared to idiopathic epilepsies. Possibly due to compensatory mechanisms, the right MTL epilepsy subgroup showed significantly increased past-oriented mind wandering compared to extratemporal epilepsies and patients with syncopes. These behavioural findings point to a rejection of the hypothesis that the amount of time engaged in mind wandering crucially depends on the left MTL. However, our data do support the idea that the left MTL is particularly involved in mind wandering towards the past.
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Affiliation(s)
- Sofie Krakau
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
| | - Leila Chaieb
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
| | | | - Randi von Wrede
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
| | - Juergen Fell
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
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20
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Vatansever D, Karapanagiotidis T, Margulies DS, Jefferies E, Smallwood J. Distinct patterns of thought mediate the link between brain functional connectomes and well-being. Netw Neurosci 2020; 4:637-657. [PMID: 32885119 PMCID: PMC7462429 DOI: 10.1162/netn_a_00137] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Accepted: 03/04/2020] [Indexed: 12/29/2022] Open
Abstract
Ongoing thought patterns constitute important aspects of both healthy and abnormal human cognition. However, the neural mechanisms behind these daily experiences and their contribution to well-being remain a matter of debate. Here, using resting-state fMRI and retrospective thought sampling in a large neurotypical cohort (n = 211), we identified two distinct patterns of thought, broadly describing the participants' current concerns and future plans, that significantly explained variability in the individual functional connectomes. Consistent with the view that ongoing thoughts are an emergent property of multiple neural systems, network-based analysis highlighted the central importance of both unimodal and transmodal cortices in the generation of these experiences. Importantly, while state-dependent current concerns predicted better psychological health, mediating the effect of functional connectomes, trait-level future plans were related to better social health, yet with no mediatory influence. Collectively, we show that ongoing thoughts can influence the link between brain physiology and well-being.
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Affiliation(s)
- Deniz Vatansever
- Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China
| | | | - Daniel S Margulies
- Brain and Spine Institute, French National Centre for Scientific Research, Paris, France
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21
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Gao Y, Shuai D, Bu X, Hu X, Tang S, Zhang L, Li H, Hu X, Lu L, Gong Q, Huang X. Impairments of large-scale functional networks in attention-deficit/hyperactivity disorder: a meta-analysis of resting-state functional connectivity. Psychol Med 2019; 49:2475-2485. [PMID: 31500674 DOI: 10.1017/s003329171900237x] [Citation(s) in RCA: 78] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Altered resting-state functional connectivity (rsFC) has been noted in large-scale functional networks in attention-deficit/hyperactivity disorder (ADHD). However, identifying consistent abnormalities of functional networks is difficult due to varied methods and results across studies. To integrate rsFC alterations and search for coherent patterns of intrinsic functional network impairments in ADHD, this research conducts a coordinate-based meta-analysis of voxel-wise seed-based rsFC studies comparing rsFC between ADHD patients and healthy controls. A total of 25 datasets from 21 studies including 700 ADHD patients and 580 controls were analyzed. We extracted the coordinates of seeds and between-group effects. Each seed was then categorized into a seed-network by its location within priori 7-network parcellations. Then, pooled meta-analyses were conducted for the default mode network (DMN), frontoparietal network (FPN) and affective network (AN) separately, but not for the ventral attention network (VAN), dorsal attention network (DAN), somatosensory network (SSN) and visual network due to a lack of primary studies. The results showed that ADHD was characterized by hyperconnectivity between the FPN and regions of the DMN and AN as well as hypoconnectivity between the FPN and regions of the VAN and SSN. These findings not only support the triple-network model of pathophysiology associated with ADHD but also extend this model by highlighting the involvement of the SSN and AN in the mechanisms of network interactions that may account for motor hyperactivity and impulsive symptoms.
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Affiliation(s)
- Yingxue Gao
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Dandan Shuai
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Xuan Bu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Xinyu Hu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Shi Tang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Lianqing Zhang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Hailong Li
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Xiaoxiao Hu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Lu Lu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
- Psychoradiology Research Unit of the Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, PR China
| | - Xiaoqi Huang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
- Psychoradiology Research Unit of the Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, PR China
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