标题
Altered periodic dynamics in the default mode network in autism and ADHD
作者
关键词
Attention-deficit/hyperactivity disorder, Autism, Default mode network, Dynamical systems, Recurrence quantification analysis, Resting-state connectivity
出版物
BIOLOGICAL PSYCHIATRY
Volume -, Issue -, Pages -
出版商
Elsevier BV
发表日期
2022-01-31
DOI
10.1016/j.biopsych.2022.01.010
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- The default mode network in cognition: a topographical perspective
- (2021) Jonathan Smallwood et al. NATURE REVIEWS NEUROSCIENCE
- Motor execution reduces EEG signals complexity: Recurrence quantification analysis study
- (2020) Elena Pitsik et al. CHAOS
- Recurrence Quantification Analysis of Heart Rate During Mental Arithmetic Stress in Young Females
- (2020) Dimitriy Dimitriev et al. Frontiers in Physiology
- The social brain in female autism: a structural imaging study of twins
- (2020) Élodie Cauvet et al. Social Cognitive and Affective Neuroscience
- A comparative analysis of gradient boosting algorithms
- (2020) Candice Bentéjac et al. ARTIFICIAL INTELLIGENCE REVIEW
- Transient states of network connectivity are atypical in autism: A dynamic functional connectivity study
- (2019) Lisa E. Mash et al. HUMAN BRAIN MAPPING
- Altered social cognition and connectivity of default mode networks in the co-occurrence of autistic spectrum disorder and attention deficit hyperactivity disorder
- (2019) Kai Wang et al. AUSTRALIAN AND NEW ZEALAND JOURNAL OF PSYCHIATRY
- Global and local visual processing in autism – a co‐twin‐control study
- (2019) J. Neufeld et al. JOURNAL OF CHILD PSYCHOLOGY AND PSYCHIATRY
- Dynamical properties of elemental metabolism distinguish attention deficit hyperactivity disorder from autism spectrum disorder
- (2019) Christine Austin et al. Translational Psychiatry
- Dynamic synergetic configurations of resting-state networks in ADHD
- (2019) Neda Kaboodvand et al. NEUROIMAGE
- Recurrence quantification analysis of resting state EEG signals in autism spectrum disorder – a systematic methodological exploration of technical and demographic confounders in the search for biomarkers
- (2018) T. Heunis et al. BMC Medicine
- Recurrence Quantification Analysis at work: Quasi-periodicity based interpretation of gait force profiles for patients with Parkinson disease
- (2018) Ozgur Afsar et al. Scientific Reports
- Shared endo-phenotypes of default mode dsfunction in attention deficit/hyperactivity disorder and autism spectrum disorder
- (2018) Julius M. Kernbach et al. Translational Psychiatry
- Identification of autism spectrum disorder using deep learning and the ABIDE dataset
- (2018) Anibal Sólon Heinsfeld et al. NeuroImage-Clinical
- Dynamical features in fetal and postnatal zinc-copper metabolic cycles predict the emergence of autism spectrum disorder
- (2018) Paul Curtin et al. Science Advances
- Visual Exploration in Autism Spectrum Disorder: Exploring Age Differences and Dynamic Features Using Recurrence Quantification Analysis
- (2018) Nikolay V. Manyakov et al. Autism Research
- Sex Differences Along the Autism Continuum: A Twin Study of Brain Structure
- (2018) Élodie Cauvet et al. CEREBRAL CORTEX
- Classification of mild cognitive impairment EEG using combined recurrence and cross recurrence quantification analysis
- (2017) Leena T. Timothy et al. INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY
- Alterations in resting state connectivity along the autism trait continuum: a twin study
- (2017) J Neufeld et al. MOLECULAR PSYCHIATRY
- Parallel Interdigitated Distributed Networks within the Individual Estimated by Intrinsic Functional Connectivity
- (2017) Rodrigo M. Braga et al. NEURON
- Recurrence quantification analysis to characterize cyclical components of environmental elemental exposures during fetal and postnatal development
- (2017) Paul Curtin et al. PLoS One
- The role of the default mode network in component processes underlying the wandering mind
- (2017) Giulia L. Poerio et al. Social Cognitive and Affective Neuroscience
- Automated Detection of Stereotypical Motor Movements in Autism Spectrum Disorder Using Recurrence Quantification Analysis
- (2017) Ulf Großekathöfer et al. Frontiers in Neuroinformatics
- Multivariate classification of autism spectrum disorder using frequency-specific resting-state functional connectivity—A multi-center study
- (2016) Heng Chen et al. PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY
- Classification of autistic individuals and controls using cross-task characterization of fMRI activity
- (2016) Guillaume Chanel et al. NeuroImage-Clinical
- Doubly robust methods for handling confounding by cluster
- (2015) Johan Zetterqvist et al. BIOSTATISTICS
- Diagnostic classification of intrinsic functional connectivity highlights somatosensory, default mode, and visual regions in autism
- (2015) Colleen P. Chen et al. NeuroImage-Clinical
- Functional connectivity classification of autism identifies highly predictive brain features but falls short of biomarker standards
- (2015) Mark Plitt et al. NeuroImage-Clinical
- The Roots of Autism and ADHD Twin Study in Sweden (RATSS)
- (2014) Sven Bölte et al. Twin Research and Human Genetics
- Default mode network in young male adults with autism spectrum disorder: relationship with autism spectrum traits
- (2014) Minyoung Jung et al. Molecular Autism
- Default Mode Network in Childhood Autism: Posteromedial Cortex Heterogeneity and Relationship with Social Deficits
- (2013) Charles J. Lynch et al. BIOLOGICAL PSYCHIATRY
- Self-Processing and the Default Mode Network: Interactions with the Mirror Neuron System
- (2013) Istvan Molnar-Szakacs et al. Frontiers in Human Neuroscience
- Multisite functional connectivity MRI classification of autism: ABIDE results
- (2013) Jared A. Nielsen et al. Frontiers in Human Neuroscience
- Dysmaturation of the default mode network in autism
- (2013) Stuart D. Washington et al. HUMAN BRAIN MAPPING
- Methods to detect, characterize, and remove motion artifact in resting state fMRI
- (2013) Jonathan D. Power et al. NEUROIMAGE
- Salience Network–Based Classification and Prediction of Symptom Severity in Children With Autism
- (2013) Lucina Q. Uddin et al. JAMA Psychiatry
- Moral decision-making, ToM, empathy and the default mode network
- (2012) Renate L.E.P. Reniers et al. BIOLOGICAL PSYCHOLOGY
- Multi-scale order recurrence quantification analysis of EEG signals evoked by manual acupuncture in healthy subjects
- (2012) Guosheng Yi et al. Cognitive Neurodynamics
- On the relationship between the “default mode network” and the “social brain”
- (2012) Rogier B. Mars et al. Frontiers in Human Neuroscience
- Disorder-specific functional abnormalities during sustained attention in youth with Attention Deficit Hyperactivity Disorder (ADHD) and with Autism
- (2012) A Christakou et al. MOLECULAR PSYCHIATRY
- Differential Deactivation during Mentalizing and Classification of Autism Based on Default Mode Network Connectivity
- (2012) Donna L. Murdaugh et al. PLoS One
- The Child and Adolescent Twin Study in Sweden (CATSS)
- (2012) Henrik Anckarsäter et al. Twin Research and Human Genetics
- Functional connectivity magnetic resonance imaging classification of autism
- (2011) Jeffrey S. Anderson et al. BRAIN
- Recurrence quantification analysis of gait in normal and hypovestibular subjects
- (2011) Francesca Sylos Labini et al. GAIT & POSTURE
- Functional-Anatomic Fractionation of the Brain's Default Network
- (2010) Jessica R. Andrews-Hanna et al. NEURON
- Simpler methods do it better: Success of Recurrence Quantification Analysis as a general purpose data analysis tool
- (2009) Charles L. Webber et al. PHYSICS LETTERS A
- A historical review of recurrence plots
- (2008) N. Marwan European Physical Journal-Special Topics
- Network homogeneity reveals decreased integrity of default-mode network in ADHD
- (2007) Lucina Q. Uddin et al. JOURNAL OF NEUROSCIENCE METHODS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More