| Wednesday, 24 June 10.00H - New York / 15.00H - London / 22.00H - Hong Kong |
| A Global Perspective on the Neural Bases of Intelligence Organizer: Pedro Valdes Sosa |
| Network Neuroscience Theory of Human Intelligence - Aron Barbey |
| Brain Activity Markers of Intelligence in Children: From intellectual disability to giftedness - Sarah Lippé |
| Gender Differences in Connectome-based Predictions of Individualized Intelligence Quotient and Sub-domain Scores - Jing Sui |
| Crystallized and Fluid Intelligence are Predicted by Microstructure of Specific White-matter Tracts - Maria Bringas Vega |
| Approaches and Challenges for Across-site Harmonization of Structural, Functional, and Diffusion MRI Organizer: Michael Harms |
| Statistical Harmonization Methods for Next Generation Neuroimaging Studies - Haochang Shou |
| Multi-site Data Harmonization during Childhood and Adolescence: An ABCD study perspective - Sean Hatton |
| Retrospective and Prospective Diffusion MRI Data Harmonization for Site-independent Analysis - Suheyla Cetin-Karayumak |
| Deep Harmony: Structural Harmonization through Deep Learning - Blake Dewey |
| Open Science in Action: Doing research as a community! Organizer: Camille Maumet |
| Hackathons: A new space for collaborative projects and learning - Elizabeth Levitis |
| Inclusivity as a Requirement for Robust and Reproducible Brain Imaging Research - Cassandra Gould Van Praag |
| Every Little Bit Counts: Towards data reuse in neuroimaging - Camille Maumet |
| Round Table: Managing the disruptive effects of open science - Eugene Duff |
| Student and Postdoc SIG Annual Symposium Success in Academia: A road paved with failures Wednesday, 24 June 13.30-15.00H - New York / 18.30-20.00H - London Thursday, 25 June 01.30-03.00H - Hong Kong Organizers: Meena Makary, Jennifer Ferris, and Mengxia Gao |
| No Milestones Met: The academic developmental history of an elderly academic - Terry Jernigan |
| Luck is not Random and other Reflections on Becoming a Scientist - 2020 Mentor Award Recipient |
| Navigating the Emotional Ups and Downs of Academia - Erin Barker |
| Thursday, 25 June 10.00H - New York / 15.00H - London / 22.00H - Hong Kong |
| Big Data and Machine Learning Personalize Neuropsychiatric Disorders: Ready for clinical translation Organizer: Matthias Schroeter |
| Large-Scale Imaging Harmonization and Analytics Using Machine Learning - Christos Davatzikos |
| Decoding the Neurodegenerative Mind with Pattern Recognition in MRI & Meta-Analyses - Matthias Schroeter |
| Good Practices in Developing Neuroimaging Biomarkers Based on Machine Learning Models - Choong-Wan Woo |
| Delineating Neurodevelopmental Pathways from Early Adversity to Cognitive and Affective Outcomes Organizer: Deanna Barch |
| Testosterone and Hippocampal Trajectories Mediate the Relationship of Poverty to Emotion Dysregulation and Depression: A longitudinal study - Maya Rosen |
| Decomposing Complex Links between the Childhood Environment and Brain Structure in School-aged Youth - Dylan Gee |
| Neural Structure, Cognition, and Psychopathology are Independently Predicted by Deprivation and Threat in Early Childhood - Margaret Sheridan |
| Neural Mechanisms Underlying the Income-Achievement Gap: The role of the ventral visual stream - Katie Mclaughlin |
| Prospects in artificial intelligence neuroscience Organizers: Jean-Baptiste Poline, Julien Doyon, Alan Evans, and the Local Organizing Committee |
| Modelling and Propagating Uncertainties in Machine Learning for Medical Images of Patients with Neurological Diseases - Tal Arbel |
| Learning Distributed Representations in the Human Brain - Anna Schapiro |
| Mapping the Brain with Objective Functions - Blake Richards |
| Sponsored Symposium
SIGNA™ MR |
| Kid Live Review (12.00H - New York / 17.00H - London / 24.00H - Hong Kong) |
| Friday, 26 June 18.00H - New York / 23:00H - London Saturday, 27 June 06.00H - Hong Kong |
| Elucidating the Causality in “Causal Brain Circuits”: Theory, methods, and applications Organizer: Manjari Narayan |
| What Does it Mean for Brain Regions to Causally Influence one Another and Why Don't Functional/Effective Connectivity Count as Causal - Konrad Kording |
| Carving up Brain Functions from an Evolutionary Perspective - Paul Cisek |
| What Kind of Kinds are Optimal for Causal Discovery in Clinical Neuroscience? - Jacqueline Sullivan |
| When Do We Need Etiological Brain-circuit Biomarkers? - Manjari Narayan |
| Heterogeneity in Neurodevelopmental Disorders: Identification, nosology, and intervention Organizer: Jessica Cohen |
| Parsing Heterogeneity in Prevalent Neurodevelopmental Disorders using Executive Function Profiles and Individual Connectome Mapping - Lucina Uddin |
| Can Within-person Models Help Improve our Understanding of Risk for Suicidal Ideation and Behavior? - Adam Miller |
| Heterogeneity in Functional Brain Network Reconfiguration after Methylphenidate Administration Underlies Individual Differences in Improvements in Response Control - Jessica Cohen |
| Dichotomous vs. Continuous Approaches for Studying Learning Difficulties, ADHD, and Predicting Intervention Response - Jessica Church |
| Measuring the Individual: Understanding sources of variability in task and resting fMRI Organizer: Colin Hawco |
| Factors Influencing the Test-retest Reliability of Functional Connectivity - Stephanie Noble |
| Differentiating Anatomical and Functional Sources of Variability to Improve Neuropsychiatry Research - Erin Dickie |
| Precision Measurements Reveal Trait-like Variations in Human Functional Brain Networks - Caterina Gratton |
| Clustering Task- fMRI Activity in Large Samples of Schizophrenia or Healthy Populations Reveals Patterns of Individually-Variable Activity - Colin Hawco |
| Monday, 29 June 18.00H - New York / 23:00H - London Tuesday, 30 June 06.00H - Hong Kong |
| Multi-view Methods for Imaging Genetics Organizer: Andre Altmann |
| Introduction To Regularized Canonical Correlation Analysis (RCCA): A Unifying Approach To Perform CCA/PLS Analysis - Agoston Mihalik |
| Functional Insights From Univariate Genetic Associations With Brain Structure -- A Benchmark For Advanced Multivariate Analyses - Neda Jahanshad |
| ICA-Based Multimodal Data Mining And Its Application On Imaging Genetics - Jingyu Liu |
| Latent Variable Models In Imaging-Genetics For Multi-Variate, Multi-View And Multi-Centric Analyses - Marco Lorenzi |
| Network Control Theory: Recent advances, current limitations, and future directions Organizer: Danielle Bassett |
| Introduction To Control Theory And Its Application To Clinical Neuroimaging - Daniela Zöller |
| Dimensional Psychopathology Phenotypes Track Deviations From The Normative Neurodevelopmental Pattern Of Structural Control Metrics - Linden Parkes |
| Multimodal Data Integration Using Network Control Theory - Urs Braun |
| Target Control Principles And Their Applications To C. Elegans And Other Connectomes - Petra Vertes |
| Tuesday, 30 June 18.00H - New York / 23:00H - London Wednesday, 1 July 06.00H - Hong Kong |
| Neurodevelopmental Insights from Fetal and Infant Imaging Organizer: Vani Pariyadath |
| Novel Insights into Neurocognitive Development Gleaned from Studies of the Fetal Brain in Utero - Moriah Thomason |
| The Developing Human Connectome Project. An Open Science Resource for Fetal and Neonatal Neuroscience: Early results - David Edwards |
| Imaging of Non-Sedated Pediatric Subject's 6 Years Old Using MRI: Logistics and image analysis - Weili Lin |
| Early Life Adversity, Neonatal Brain Connectivity, and Early Childhood Psychopathology - Cynthia Rogers |
| Neuropsychiatric Genetic Variation Shapes Brain Architecture by Modulating Gene Expression Organizer: Sébastien Jacquemont |
| The Effect on Functional Brain Networks of High-Risk Variants Identified in the Neurodevelopmental Disorder Clinic - Clara Moreau |
| Genetic Determinants Of Brain Structure - Paul Thompson |
| From SNPs to Cortical Structure: Molecular mechanisms by which common genetic variation leads to changes in brain structure - Jason Stein |
| Molecular Variation of Cortical Cell Types Across Human Cortex and Between Primates and Mice - Trygve Bakken |
| Neurovascular Coupling in Health and Disease: Revisiting the hemodynamic response function Organizer: Colleen Schneider |
| Neurovascular Coupling in Cerebrovascular Disease and Dementia - Edith Hamel |
| Abnormal Hemodynamic Responses as a Window into the Mechanisms of Stroke Recovery - Colleen Schneider |
| Neuro-vascular Coupling and Changes in Cerebral Hemodynamics as a Function of Intracranial Pressure - Jana Kainerstorfer |
| Assessing Various Hemodynamic Responses in Hypercapnia using Functional MRI - Yunjie Tong |
| Thursday, 2 July 00.00H - New York / 05.00H - London / 12.00H - Hong Kong |
| Replicability and Reproducibility for Machine Learning: Applications in brain mapping Organizers: Vince Calhoun, Tulay Adali |
| Overview, Introduction, and Definitions - Vince Calhoun, Tulay Adali |
| The Role of Replicability and Reproducibility in the Interpretability of Machine Learning Results in Brain Mapping - Stephen Strother |
| Reliable and Reproducible Brain Network Estimation - Lisa Nickerson |
| Beyond Reproducibility: Reusability and generalizability - Gael Varoquaux |
| Symbiosis of fMRI and Transcranial Electrical Stimulation: Methodology, implications, and challenges Organizer: Hamed Ekhtiari |
| Mechanistic Biomarkers for tES: How fMRI can inform us about tES effects - Charlotte Stagg |
| Understanding the Effects of Transcranial Electrical Stimulation on Cognitive Control Through Simultaneous Functional MRI and Measurement of Brain Network Structure - David Sharp |
| FMRI and Head Modeling: Addressing state and trait predictors in response to tES - Marom Bikson |
| Methodological Parameter Space in Combining tES and fMRI: From mechanism to prediction - Hamed Ekhtiari |
| The Effect of Analytic Choices on fMRI Results and What We can do about it Organizer: Tom Schonberg |
| NARPS: Context and overview and summary and future directions - Tom Schonberg |
| NARPS Findings - Rotem Botvinik-Nezer |
| From the Eyes of an Analysis Team - Remi Gau |
| Looking Ahead: Sharing uncorrected data and design matrices, and training future neuroimagers - Jeanette Mumford |
| Friday, 3 July 00.00H - New York / 05.00H - London / 12.00H - Hong Kong |
| The Human Connectome in Light of Evolution Organizer: Katherine Bryant |
| Plasticity and Learning in Ontogeny and Phylogeny - Erin Hecht |
| Imaging Brain Evolution: The next frontier - Michel Thiebaut de Schotten |
| Variability of Structural Connections Within and Between the Species - Stephanie Forkel |
| Neurophylogenetic Approaches to Human Brain Mapping - Katherine Bryant |
| What can Modern Bayesian Methods Offer Neuroimaging Data Analysis? Organizer: Martin Lindquist |
| Improve Reproducibility through Bayesian Multilevel Modeling - Gang Chen |
| Automatic Selection of Primary Threshold for Clusterwise fMRI Inference: An Empirical Bayes Approach - Chen Shou |
| Template ICA: Leveraging big fMRI data through empirical population priors for accurate and fast estimation of subject-level brain networks - Amanda Mejia |
| Hierarchical Bayesian Modelling of Individual - and Population-level Resting StateNetworks fromBig fMRI Data - Seyedeh-Rezvan Farahibozorg |
| Friday, 3 July 23.00H - New York Saturday, July 4 04.00H - London / 11.00H - Hong Kong |
| What is the Role of The Human Thalamus? Insights from Functional Neuroimaging Organizer: James Shine |
| The Role of theThalamus in Shaping Whole-brain Functional Connectivity - James Shine |
| When the Thalamus Fluctuates, the Brain Integrates - Douglas Garrett |
| Network Properties and Cognitive Functions of the Human Thalamus - Kai Hwang |
| Thalamic Control of Arousal States and Large-scale Cortical Dynamics - Laura Lewis |
| A Tale of Parcels and Gradients: Individual differences and behavioral associations Organizer: Ruby Kong |
| Representing Brain Organization: Smooth gradients, discrete regions or a bit of both? - Ye Tian |
| Comparing Gradients, Soft-Parcellations and Hard-Parcellations for RSFC Behavioral Prediction - Ruby Kong |
| Macroscale Brain Organization and Cognitive Dynamics - Jonathan Smallwood |
| Studying Idiosyncratic Connectome Organization using Gradient and Parcellation Techniques in Typical and Atypical Development - Oualid Benkarim |
| Discerning Signal From Artifact: Current Issues in resting-state fMRI quality control Organizer: Jean Chen |
| The Influence of Motion and Physiological Noise on fMRI: Quality control, the latest solutions, and ongoing challenges - Rasmus Birn |
| Multi-echo acquisition for fMRI sensitivity enhancement and data quality control - Benedikt Poser |
| Is Physiological Noise Really Noise? --- Evolving QC targets in resting-state fMRI - Jean Chen |
| Saturday, July 4 00.00H - New York / 05.00H - London / 12.00H - Hong Kong |
| OHBM-DGKN Alliance: International symposium on stroke recovery Organizer: Christian Grefkes |
| Cortical Reorganization after Stroke: New insights from neuroimaging and non-invasive brain stimulation - Christian Grefkes |
| Network Neuroscience of Language Recovery after Stroke - Steven Small |
| Neuromodulation to Improve Motor Recovery after Stroke - Heidi Johansen-Berg |
| Predicting Psychometric Data From Functional Connectivity in Healthy Adults: Progress and pitfalls Organizer: Sarah Genon |
| Simple Guidelines for Predictive Modeling (and When to Break Them) - Dustin Scheinost |
| Global Signal Regression Strengthens Association between Resting-state Functional Connectivity and Behavior - Jingwei Li |
| Can Connectomics Clarify the Architecture of Cognitive Abilities? - Chandra Sripada |
| A Connectivity-based Psychometric Prediction Framework for Brain-behavior Relationship Studies - Jianxiao Wu |
| Two is Better than One (and Many are Better): Multi-echo fMRI methods and applications Organizer: Daniel Handwerker |
| How to Decide if Multi-echo fMRI can Improve your Study? - Daniel Handwerker |
| Tedana Software and Community - Elizabeth Dupre |
| Multi-echo Beyond Preprocessing - Cesar Caballero-Gaudes |
| Multi-echo fMRI in Practice - Angela Laird |