2020 Symposia


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

Advanced Neuro imaging of the future powered by 7.0T and AI
(08.00H - New York / 11.00H - London / 18.00H - Hong Kong)
Organizers: GE

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
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