HUMAN BRAIN MAPPING 2012 ITINERARY
Day 1: June 10th, Sunday, 2012 Educational Courses - The Connectome
Details: The Connectome
Organizers:
Heidi Johansen-Berg, University of
Oxford, UK
Ed Bullmore, University of Cambridge, UK
Learning Objectives: Having completed this course, participants will be
able to:
1.
Understand
methods for acquisition and analysis of diffusion MRI, resting state FMRI, EEG
and MEG data
2.
Understand
network modelling methods for connectomics
3.
Give examples of
approaches to visualising connectomes; and
4.
Give examples of
applications of connectomics to understanding brain function and dysfunction.
Course Schedule
I. Building Connectomes
8:00-8:30
Introduction to Connectomics and
Overview of the Course Heidi Johansen-Berg, University of Oxford, UK
8:30-9:00
MRI Acquisition and Analysis
Strategies for Connectomics Larry
Wald, Harvard Medical School, USA
9:00-9:30
Diffusion Tractography and Structural
Measures Donald Tournier, Brain Research Institute, Melbourne,
Australia
9:30-10:00
Overview of Intrinsic Connectivity
Networks Vince Calhoun, University of New Mexico, USA
10:00-10:30
Break
10:30-
11:00 EEG/MEG and Brain Networks Johanna Zumer, Radboud University
Nijmegen, Netherlands
11:00-11:30
Overview of FMRI Network Modelling
Methods in Task and Rest Ed Bullmore, University of Cambridge, UK
11:30-12:00
Discussion and Q+A
12:00-13:00
Lunch
II. Modeling and
Mining Connectomes
13:00-13:30
Advanced Network Modelling I: Dynamic
Models; Multimodal Integration Mark Woolrich, University of Oxford,
UK
13:30-14:00
Advanced Network Modelling II Gael
Varoquaux, INSERM, Neurospin, France
14:00-14:30
Neuroinformatics for Connectomics David
Van Essen, Washington University, St Louis, USA
14:30-15:00
Brain Networks in Health and Disease
Ed Bullmore, University of Cambridge, UK
15:00-15:30
Break
15:30-16:00
Data Mining and Visualisation Angie
Laird, University of Texas, San Antonio, USA
16:00-16:30
State-Dependent and Disease-Related
Variations in Functional Networks Silvina Horovitz, NINDS, NIH, USA
16:30-17:00 Discussion
and Q+A
17:30-19:00 Opening Ceremonies and Talairach Lecture
Speech and Auditory Memory: How Deep is Their Connection? Mortimer Mishkin, PhD, Bethesda, MD, USA
Lecture Abstract: This talk
revolves around two seemingly unrelated findings. The first is the momentous
discovery of the FOXP2 gene, essential for oromotor articulation, an ability
that likely evolved within the hominid line in just the last 300,000 years. The
second finding, less momentous but more puzzling, is that, unlike humans,
monkeys seem unable to store long-term memories in audition, even though they
are easily able to do so in vision and touch. Together, these two pieces of
evidence suggest that speech and long-term auditory memory may be indissolubly
linked. An initial test provides this suggestion with some preliminary support.
Bio: Mortimer
Mishkin received an AB from Dartmouth College (1946) and an MA (1949) and PhD
(1951) from McGill University (MA with D.O. Hebb; PhD with H.E. Rosvold and
K.H. Pribram). In 1955, after completing
postdoctoral research with both Pribram at the Institute of Living, Hartford,
CT, and H.L. Teuber at Bellevue Medical Center, New York University, he joined
Rosvold at NIMH, where, in 1980, he became chief of the Laboratory of
Neuropsychology (LN), and, in 1994, associate director for basic research at
NIMH. He relinquished both titles in
1997, remaining chief of LN’s Section on Cognitive Neuroscience, acting chief
of LN, and visiting professor at University College London Institute of Child
Health.
19:00-21:00
Welcome Reception
8:30-9:45
Morning workshop: Assessing Network (dys-) Function in
Development, At-Risk States and Psychiatric Disorders, Chair: Simon B. Eickhoff, Institute of
Neuroscience and Medicine, Research Center Jülich, Jülich, Germany
1.
The Maturation of
Top-Down Frontal Cognitive Control Through Adolescence Beatriz Luna, Laboratory
of Neurocognitive Development, University of Pittsburgh Medical Center,
Pittsburgh, PA, USA
2.
Genetic Control
Over Brain Connectivity: Implications for Affective Disorders David C. Glahn, Department
of Psychiatry, Yale University, Hartford, CT, USA
3.
Networks at Risk:
Dynamic Causal Modeling Reveals Mechanisms of Dysfunction in Adolescents Vulnerable
to Psychiatric Illness Vaibhav A. Diwadkar, Dept of Psychiatry & Behavioral
Neuroscience, Wayne State University School of Medicine, Detroit, MI, USA
4.
Imaging Brain
Networks in the "Grey-Zone" Between Health and Disease Simon B. Eickhoff, Institute
of Neuroscience and Medicine, Research Center Jülich, Jülich, Germany
10:00-11:30 Symposia: LOC
Symposium: Imaging the Sociocultural Human Brain
Chair: Jia-Hong Gao, Peking
University, China; University of Chicago, USA
1. Neural Processing Underlying Emotion
Recognition and Regulation
Tatia Lee, The University of
Hong Kong, China
2. Unconscious
Processing of Facial Expressions-Cortical Sites, Dynamics, and Individual
Differences
Sheng
He, Institute of Biophysics, Chinese Academy of Sciences, China; University of
Minnesota, USA
3. Unconscious Processing of Facial Expressions-Cortical Sites,
Dynamics, and Individual Differences
Sheng He, Institute of
Biophysics, Chinese Academy of Sciences, China; University of Minnesota, USA
4. Neural Representation of the Self in Sociocultural
Contexts
Shihui Han, Peking
University, China
11:45-12:30
Keynote lectures (approximately 30 minutes long and cover a wide variety of
topics)
Functional
Architecture of Face Processing in the Primate Brain
Leslie Ungerleider, Laboratory of Brain
& Cognition, NIMH, Bethesda, MD, USA
Lecture
Abstract:
Face
recognition is a remarkable ability, given the tens of thousands of different
faces we can recognize, sometimes even many years later after a single
encounter. This unique ability likely
depends on specialized neural machinery dedicated to face processing. This talk will focus on the network dynamics
among regions mediating the recognition of both face identity and facial
expression in the primate brain.
Biography:
Dr.
Ungerleider is Chief of the Laboratory of Brain and Cognition at the National
Institute of Mental Health and an NIH Distinguished Investigator. She hs been
elected to the National Academy of Sciences, the American Academy of Arts and
Sciences, and the Institute of Medicine.
13:30-15:30 Poster Session
15:45-17:00 Symposia: What Can Brain
Imaging Tell Us About Motor Learning?
Chair:
Joern Diedrichsen, Motor Control Group, Institute of Cognitive Neuroscience,
University College London, London, UK
1. Dynamic Brain Correlates of Dexterity and
Motor Skill Acquisition Traced with Structural Magnetic Resonance Imaging,
Hartwig Roman Siebner, Danish Research Center for Magnetic Resonance,
Department of MR (DRCMR), Copenhagen University, Hospital Hvidovre, Hvidovre,
Denmark
2.
Dynamic
Changes in Neurochemistry and Brain Structure with Learning and Brain
Stimulation, Heidi Johansen-Berg, Oxford Centre for Functional MRI of
the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, Oxford, UK
3.
Predicting
Learning Based on Large-Scale Network Dynamics in fMRI, Scott T.
Grafton, UCSB Brain Imaging Center and the Department of Psychological &
Brain Sciences, University of California, Santa Barbara, CA, USA
4.
Motor
Learning: A Change in Neuronal Representation, Rather than in Activation,
Joern Diedrichsen, Motor Control Group, Institute of Cognitive Neuroscience,
University College London, London, UK
17:15-18:00 Keynote lectures: Spectral Fingerprints of
Cognitive Processing, Andreas
Engel, Dept. of Neurophysiology and Pathophysiology University Medical Center
Hamburg-Eppendorf, Hamburg, Germany
Lecture Abstract:
Cognition
results from large-scale interactions among functionally specialized but widely
distributed brain regions. The talk will focus on recent studies that exploit
correlated neuronal oscillations to characterize such large-scale cortical
interactions in the human brain. It will be argued that large-scale oscillatory
coupling provides a level of description that is particularly fruitful for
identifying unifying principles underlying cognitive processing.
Biography:
Andreas
K. Engel is Professor of Physiology and Director of the Dept. of
Neurophysiology and Pathophysiology at the University Medical Center
Hamburg-Eppendorf, Hamburg, Germany. He is also coordinator of Collaborative
Research Centre SFB 936 at Hamburg, Germany. His research interests are: role
of synchronization and oscillations for cognitive processing; neural mechanisms
of intermodal and sensorimotor integration, emotion, working memory, decision
making, attention and consciousness; changes of large-scale network dynamics in
neurological and psychiatric disorders; brain-computer interfaces; bioinspired
robot architectures.
18:15-19:45 Oral
Sessions: O-M4:
Resting State Networks, Chair: Michael Greicius
18:15
- 18:30
665
MT: Edge selection preserving the topological features of brain network
Hyekyoung
Lee, SNUH, Seoul, Korea, Republic of
18:30
- 18:45
80
WTh: The Autism Brain Imaging Data Exchange (ABIDE) consortium: open sharing of
autism resting state fMRI
Adriana
Di Martino, NYU Child Study Center
18:45
- 19:00
554
MT: Network Analysis Could Reveal Local And Global Intelligence Fingerprint In
Resting State fMRI Data
Emiliano
Santarnecchi, Department of Neurological and Sensorial Sciences, Siena,
Italy
19:00
- 19:15
739
MT: Resting state networks are characterized by high frequency BOLD
fluctuations
Erik
van Oort, MIRA Institute, University of Twente, Donders Institute, Radboud
University Nijmegen, Nijmegen, Netherlands
19:15
- 19:30
476
MT: Tracking whole-brain connectivity dynamics in the resting-state
Elena
Allen, Mind Research Network, Albuquerque, United States
19:30
- 19:45
795
WTh: Establishing homotopic inter-hemispheric regional correspondences via rest
functional connectivity
Marc Joliot, UMR5296, Université Bordeaux Segalen,
CNRS, CEA, Bordeaux, France
Day 3:
June 12th, Tuesday, 2012
8:30-9:45 Morning workshop: From Static to Dynamic
Descriptions: Non-Stationarity in Functional and Effective Brain Connectivity, Chair: Christian F.
Beckmann, MIRA Institute for Biomedical Engineering and Technical Medicine
University of Twente, Enschede, NL Donders Institute for Brain, Congnition and
Behavior Radboud University Nijmegen,, Nijmegen, Netherlands
1.
Measuring Electrodynamic Connectivity: Observations Using
Magnetoencephalography Mark Woolrich, Univ Of Oxford, FMRIB Centre, John Radcliffe
Hospital, Oxford , United Kingdom
2.
Functionally-Distinct Spatially-Overlapping Brain Modes Stephen M. Smith, Oxford
University Centre for Functional MRI of the Brain (FMRIB), John Radcliffe
Hospital, Oxford, UK
3.
Dynamics of Resting-State BOLD Signal Connectivity Catie Chang, Advanced MRI
section, NINDS, NIH, Bethesda, MD, USA
4.
Temporal and Spatial Non-Stationarity in Effective
Connectivity Networks Using Switching Linear Dynamic Systems Jason F. Smith, Brain
Imaging and Modeling Section, NIDCD, National Institutes of Health, Bethesda,
MD, USA
10:00-10:45
Keynote lectures: The Topological Definition of Perceptual Objects: Theory,
Behavioral Evidence, and Neural Representation, Lin Chen, State Key Laboratory of Brain and Cognitive Science,
Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
Lecture Abstract:
What is a perceptual object? Intuitively, it is the holistic identity preserved over shape-changing transformations. According to the global-first topological approach, this core intuitive notion of an object can be characterized as topological invariants, such as holes. Behavioral experiments demonstrated that changes in topological properties disturbed object continuity, leading to the perception of an emergence of a new object; and fMRI experiments showed that the topological changes activated the anterior temporal lobe and amygdale.
Biography:
Prof. Lin Chen is Director of State Key Laboratory of Brain and Cognitive Science, and Beijing MRI Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences. He is an elected member of Chinese academy of Sciences, and the Academy of Sciences for the Developing World.
Lecture Abstract:
What is a perceptual object? Intuitively, it is the holistic identity preserved over shape-changing transformations. According to the global-first topological approach, this core intuitive notion of an object can be characterized as topological invariants, such as holes. Behavioral experiments demonstrated that changes in topological properties disturbed object continuity, leading to the perception of an emergence of a new object; and fMRI experiments showed that the topological changes activated the anterior temporal lobe and amygdale.
Biography:
Prof. Lin Chen is Director of State Key Laboratory of Brain and Cognitive Science, and Beijing MRI Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences. He is an elected member of Chinese academy of Sciences, and the Academy of Sciences for the Developing World.
11:00-12:30 Oral
Sessions: O-T1: Modeling and Analysis Methods, Chair: Niko
Kriegeskorte & O-T2: Motor Behavior, Learning & Disorders, Chair:
Genevieve Albouy
11:00
- 11:15
786
MT: Neuronal network coherent with the kinematics of observed hand movement
Xavier De Tiège, Université Libre de Bruxelles,
Brussels, Belgium
11:15
- 11:30
784
MT: Estimation of three-dimensional movement trajectory from MEG signals
Hong Gi Yeom, Seoul National University, Seoul,
Korea, Republic of
11:45
- 12:00
760
MT: Fast and accurate modelling of longitudinal neuroimaging data
Bryan
Guillaume, University of Warwick, Coventry, United Kingdom
12:00
- 12:15
499
MT: Estimating BOLD Signals of Deep Brain Networks From EEG using Canonical
correlation Analysis
Lavi
Shpigelman, IBM, Haifa, Israel
12:15
- 12:30
632
MT: Capturing high-order interactions in neuroimaging data
Sergey Plis, The Mind Research Network
13:30-15:30 Poster Session
15:45-17:00 Symposia: Relationships Between Functional
Networks Assessed by fMRI and EEG/MEG/ECoG, Chairs: Todd S. Woodward, Department of Psychiatry, University of British
Columbia, Vancouver, British Columbia, Canada Jennifer C. Whitman, Department
of Psychiatry, University of British Columbia, Vancouver, British Columbia,
Canada
1.
Spatial Correspondence Between Networks of
Oscillatory Activity Identified in MEG Data and the Dorsal Attention and
Default Mode Networks Identified in fMRI Data, Jennifer C. Whitman, Department of Psychiatry, University of British
Columbia, Vancouver, British Columbia, Canada
2.
Investigating the Spatial-Temporal Dynamics of Functional
Networks with Simultaneous EEG-fMRI, Rene Scheeringa, Donders Institute for Brain,
Cognition and Behaviour, Centre for Cognitive Neuroimaging, Nijmegen,
Netherlands
3.
Investigating the Electrophysiological Origin of Brain
Networks Using Magnetoencephalography Matthew Brookes, Sir Peter Mansfield Magnetic
Resonance Centre, School of Physics and Astronomy, University of Nottingham,
Nottingham, United Kingdom
4.
A Frequency-Specific Mechanism that Links Human Brain
Networks During Task Performance Maurizio Corbetta, Departments of Neurology,
Radiology, Anatomy & Neurobiology, Washington University School of
Medicine, St. Louis, Missouri, USA
17:15-18:00 Keynotes: Structural and Functional Architecture of
the Human Cerebral Cortex: Multiscale and Multimodal Maps, Karl Zilles, Institute of Neuroscience and
Medicine, Research Centre Jülich, and C. & O. Vogt Institute, University
Düsseldorf, Germany
Lecture Abstract: The contribution of
“tedious anatomy” for understanding brain structures underlying various types
of neuroimaging data will be demonstrated. Localization beyond the common
misuse of so-called “Brodmann maps”, multiscale (from molecules to circuits)
and multimodal (cyto- and receptorarchitecture) mapping strategies, as well as
an ultra-high resolution approach to structural connectivity will be discussed.
Biography: Karl Zilles is
Professor of Brain Research at the Cécile & Oskar Vogt-Institute,
University of Düsseldorf and Director at the Institute of Neuroscience and
Medicine, Research Center Juelich, Germany. His research topics are molecular
organization, architectonic mapping and connectivity of the cerebral cortex,
and transmitter receptors in brain diseases.
Day 4:
June 13th, Wednesday, 2012
8:30-9:45 Morning workshop: Neural
Repair as Changes in Network Connectivity: Using Computational Models of Brain
Connectivity to Characterize Recovery from Injury and the Effects of Specific
Interventions, Chair: Steven L. Small, University
of California, Irvine, Departments of Neurology, Neurobiology & Behavior,
and Cognitive Sciences Biological Sciences III, Irvine, CA, USA
1. Network
Recovery after Stroke: Dynamic Functional Reorganization of the Motor Execution
Network after Stroke, Chaozhe
Zhu, National Key Laboratory of
Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
2. Effects of
Prenatal Focal Brain Injury on Reading-Related Functional Connectivity and
Modular Organization, Anjali Raja Beharelle, Rotman
Research Institute, University of Toronto, Toronto, ON, Canada
3. New Insights into
the Pathophysiology Underlying Motor Deficits and Recovery Thereof Using Models
of Effective Connectivity, Christian
Grefkes, Department of Neurology, University of Cologne, Köln, Germany
4. Network Recovery
after Stroke: Building Hand Motor and Aphasia Therapy on Physiological Data and
Anatomical Connectivity, Ana Solodkin,
Departments of Anatomy & Neurobiology and Neurology, University of
California, Irvine, Irvine, CA, USA
10:00-10:45 Keynote lectures: Brain Plasticity-Based
Therapeutics, Michael Merzenich,
University of California, San Francisco, San Francisco, CA, USA
Lecture Abstract:
Neuroplasticity-based therapeutics
strongly rely on the neurophysiological and brain imaging-based descriptions of
neurological abnormalcy as it applies to specific clinical indications. It also provides us with a powerful basis for
confirming that a specific therapeutic approach is driving appropriate
neurological 'corrections'. A
consideration of some of the basic principles guiding this therapeutic approach
shall be a lead-in to a specific example (schizophrenia) for which this
approach is being applied.
Biography:
Dr. Michael Merzenich is Professor
Emeritus from the Keck Center for Integrative Neurosciences at the University
of California at San Francisco, and the co-founder of three brain
plasticity-based educational and medical software companies (Scientific
Learning Corporation; Posit Science Corporation; Brain Plasticity
Institute). His research has focused on
understanding the functional organization of sensory-perceptual-cognitive
systems in mammalian brains, on brain plasticity phenomenology and mechanisms,
on the contribution of brain plasticity to the expressions of neurological and
psychiatric illness, and on the brain plasticity-based treatments of
developmental and acquired impairments in children and adults.
11:00-12:30 Oral
Sessions: O-W1:
Disorders 2, Chair: Mirella Dapretto
11:00
- 11:15
90
WTh: Widespread brain hyper-connectivity in children with autism
Kaustubh
Supekar, Stanford University School of Medicine, Stanford, United States
11:15
- 11:30
78
WTh: Robust prediction of autism diagnosis from brain responses to biological
motion
Malin
Bjornsdotter, Yale Child Study Center, New Haven, United States
11:30
- 11:45
342
WTh: The neural bases of reversal learning deficits in unmedicated
schizophrenia patients
Florian
Schlagenhauf, Charité Universitätsmedizin Berlin, Berlin, Germany
11:45
- 12:00
76
WTh: Underconnectivity of STS predicts socio-cognitive deficits in Autism
Kaat
Alaerts, Katholieke Universiteit Leuven, ,
12:00
- 12:15
334
WTh: Aberrant inter-network connectivity reflects anterior insula activity and
psychosis in schizophrenia
Andrei
Manoliu, Klinikum Rechts der Isar, TU Munich, Munich, Germany
12:15
- 12:30
133
WTh: Altered Resting State Functional Connectivity in the Limbic System in
Social Anxiety Disorder
Sheeba Anteraper, MIT
13:30-15:30 Poster Session (I’ll stand in front of the
poster during this session)
15:45-17:00 Symposia: Cracking
the Columnar-Level Code in the Visual Cortex with Ultra-High Field fMRI, Chair: Rainer Goebel, Maastricht Brain Imaging
Center, Maastricht University, Maastricht, Limburg, Netherlands
1.
Columnar
Organization of Object Features in Monkey Inferior Temporal Cortex Keiji Tanaka, Riken, Cognitive Brain Mapping
Laboratory, Saitama, Japan
2.
Sub-Millimeter
Functional MRI at 7 Tesla: Possibilities and Challenges David Norris, Donders Centre for Cognitive
Neuroimaging, Nijmegen, Netherlands
3.
Mapping
Columnar-Level Organizations in Human early Visual Areas with Ultra-High Field
fMRI
4.
Essa Yacoub, Center
for Magnetic Resonance Research, Department of Radiology University of
Minnesota Medical School, Minneapolis, Minnesota, MN, USA
5. Strategies for Mapping Unknown Feature Representations
in Specialized Mid-Level Areas of the Human Visual Cortex Rainer Goebel, Maastricht Brain Imaging Center,
Maastricht University, Maastricht, Limburg, Netherlands
17:15-18:00 Keynote lectures: Networks of Anatomical
Covariance, Alan Evans, McGill
University, Montreal, QC, Canada
Lecture Abstract:
The investigation of brain
connectivity using either functional
(fMRI,PET) or white matter (DTI, DSI) metrics is now widespread. This
talk will explore the potential for revealing brain connectivity via covariance
of grey matter metrics (cortical thickness, cortical volume, grey matter
density) in human development, disease and in rodent models.
Biography:
Alan Evans is James McGill Professor
of Neurology, Psychiatry and Biomedical Engineering at McGill University. Based at the Montreal Neurological Institute
since 1984, he has extensive background in neuroimaging methodology with 400+
peer-reviewed publications. His recent
work has focused on structural connectivity, high-performance computing and
multimodal databasing.
21:00-1:00 Club
Night, LAN Club
Day 5:
June 14th, Thursday, 2012
8:30-9:45 Morning workshop: Where’s Your Signal? Explicit Spatial Models
to Improve Interpretability and Sensitivity of Neuroimaging Results, Chair: Thomas E. Nichols, Dept of Statistics, Warwick Manufacturing Group,
Warwick University, Coventry, UK
1.
What the Mass Univariate Model Doesn't Tell You Thomas E. Nichols, Dept
of Statistics, Warwick Manufacturing Group, Warwick University, Coventry, UK
2.
Bayesian Model Selection Under Spatial Uncertainty for
Functional Imaging Studies Alexis Roche, CIBM-Siemens, Ecole Polytechnique Fédérale
(EPFL), Lausanne, Switzerland
3.
Bayesian Spatial Point Process Modeling of Neuroimaging Data Timothy D. Johnson, Department
of Biostatistics, University of Michigan, Ann Arbor, MI, USA
4.
New Tools for Tracking the Dynamics of Mental Representations
Sam
Gershman, Department of Psychology, Princeton University, Princeton, NJ, USA
10:00-10:45 Keynote
lectures: Meta-Analytic Modeling of Human Neural Systems: Data-Driven Hypothesis
Generation, Peter Fox, University
of Texas Health Science Center at San Antonio, San Antonio, TX, USA
Lecture
Abstract:
Stereotactic
coordinates provide a standard framework for reporting structural and
functional neuroimaging results. Widespread adoption of this standard has
created an extensive, diverse literature uniquely well-suited for large-scale
data mining. In response, a family of statistical methods for coordinate-based
meta-analysis (CBMA) have been developed. Collectively, CBMA methods provide
data-driven hypothesis generation and neural system modeling, including
emergent properties (e.g., meta-analytic connectivity maps). A particularly
powerful application of CMBA is creation of models for constrained exploration
of new primary data sets.
Biography:
Dr.
Peter Fox is Director of the Research Imaging Institute and Professor of
Radiology, Neurology, Psychiatry and Physiology at the University of Texas
Health Science Center in San Antonio. After a residency in Neurology, Dr. Fox
trained in functional brain imaging under Dr. Marcus Raichle at Washington
University. Dr. Fox is the originator of the BrainMap project
(www.brainmap.org), which includes the BrainMap database and a suite of tools
for coordinate-based meta-analysis and neural-system modeling.
10:45-12:45 Poster Session (I’ll stand in front of the
poster during this session)
14:00-15:30 Oral
Session: O-Th2: Imaging Methods,
Chair:
Timothy Q. Duong
14:00
- 14:15
706
WTh: 'Investigating the temporal dynamics of resting state connectivity with
MEG'
Adam
Baker, University of Oxford, Oxford, United Kingdom
14:15
- 14:30
534
WTh: Human cortical layers detected with high resolution diffusion MRI at 9.4T
Alard
Roebroeck, Maastricht University, Maastricht, Netherlands
14:30
- 14:45
665
WTh: In Vivo Human Brain Measurements of Axon Diameter Using 300 mT/m Maximum
Gradient Strengths
Jennifer
McNab, A.A. Martinos Center for Biomedical Imaging,
14:45
- 15:00
792
WTh: Quantification of dopamine in the human striatum in anatomical and
connectivity derived subdivisions
Andri
Tziortzi, University of Oxford
15:00
- 15:15
653
WTh: Automatic HARDI White Matter Tract Labeling with Multiple Atlas Fusion
Yan
Jin, University of California, Los Angeles, Los Angeles, United States
15:15
- 15:30
595
WTh: Resting State fMRI Predicts Task Activation of Individual Subjects
Prantik Kundu, NIMH
