Learning resources: chapter 11

CHAPTER 11

Section 11.1 - Structure and Function in the Brain

1. Anatomical connectivity
Mapping anatomical connectivity patterns of human cerebral cortex using in vivo diffusion tensor imaging tractography (paper by Gaolang Gong et al., 2008; from Cerebral Cortex, 19)
Global relationship between anatomical connectivity and activity propagation in the cerebral cortex (paper by Rolf Kotter and Friedrich Sommer, 2000; from Philosophical Transactions of the Royal Society of London B, 355)
An investigation of functional and anatomical connectivity using magnetic resonance imaging (paper by Martin Koch, David Norris, and Margret Hund-Georgiadis, 2002; from NeuroImage, 16)
Brain connectivity (entry from Scholarpedia)
The elusive concept of brain connectivity (paper by Barry Horwitz, 2003; from NeuroImage, 19)
Explore the brain like never before (website from BrainMaps)
Brain mapping (entry from Wikipedia)

See also sections 3.1 and 3.2.
Overview of connectivity (by Stanford Center for Interdisciplinary Brain Sciences Research)
Discussion of the Human Brain Project (video)

Section 11.2 - Studying Cognitive Functioning: Techniques from Neuroscience

1. EEG and MEG
Electroencephalography (entry from Wikipedia)
Magnetoencephalography (entry from Wikipedia)
Electroencephalogram (entry from Scholarpedia)
Magnetoencephalogram (entry from Scholarpedia)

2. PET and fMRI
Introduction to FMRI (from the University of Oxford’s FMRIB Centre)
Brain imaging technologies (information from the University of Utah)
Functional magnetic resonance imaging (entry from Scholarpedia)
Positron emission tomography (entry from Wikipedia)
How nuclear medicine works (entry from HowStuffWorks)
How fMRI works (entry from HowStuffWorks)
A history of positron imaging (article by Gordon Brownell, 1999)
Combination PET-MRI scanner (video from Washington University in St. Louis)

3. Neuroimaging in general
Neuroimaging (entry from Wikipedia)
Functional neuroimaging (entry from Wikipedia)
The whole brain atlas (website by Keith Johnson and J. Alex Becker, Harvard Medical School)
Comparing neuroimaging techniques (video from YouTube)
Advances in brain imaging (supplementary video to HBO’s The Alzheimer’s Project)
Scanning the brain (website from PBS’s series The Secret Life of the Brain, with links to information about EEG, CAT, PET, MRI and fMRI, and MEG)
Functional imaging (entry from Scholarpedia)
EEG-fMRI (entry from Wikipedia)
Video demonstration for using EEG and fMRI simultaneously (from Jove)
History of neuroimaging (entry from Wikipedia)
Comparison of all major imaging methods (video)

Section 11.3 - Combining Resources I: The Locus of Selection Problem

1. Attention
Attention (entry from Wikipedia)
Cocktail party effect (entry from Wikipedia)
Attention (entry from the Stanford Encyclopedia of Philosophy, by Christopher Mole)(entry from the Stanford Encyclopedia of Philosophy, by Christopher Mole)

2. Models of attention (Donald Broadbent, John Duncan)
Attention (website by Stephen Schmidt)
Donald Broadbent (entry from Wikipedia)
For more on attention, see section 1.4.

3. Early vs. late selection
Visual attention: Insights from brain imaging (paper by Nancy Kanwisher and Ewa Wojciulik, 2000; from Nature Reviews Neuroscience 1)
On the locus of visual selection: Evidence from focused attention tasks (paper by Steven Yantis and James Johnston, 1990; from the Journal of Experimental Psychology, 16)

4. ERP and single-unit recording
Event-related potential (entry from Wikipedia)
Evoked potential (entry from Wikipedia)
Event-related potentials, cognition, and behavior: A biological approach (paper by Boris Kotchoubey, 2006; from Neuroscience and Biobehavioral Reviews, 30)
Neuroimaging studies of attention: From modulation of sensory processing to top-down control (paper by Luiz Pessoa, Sabine Kastner, and Leslie Ungerleider, 2003; from The Journal of Neuroscience, 23)
Event-related brain potentials in the study of visual selective attention (paper by Steven Hillyard and Lourdes Anllo-Vento, 1998; from Proceedings of the National Academy of Sciences, 95)

Section 11.4 - Combining Resources II: Networks For Attention

1. Covert attention and PET
A PET study of visuospatial attention (paper by Maurizio Corbetta, Francis Miezin, Gordon Shulman, and Steven Petersen, 1993; from The Journal of Neuroscience, 13)
The attention system of the human brain (paper by Michael Posner and Steven Petersen, 1990; from Annual Reviews of Neuroscience, 13)
Functional localization of the system for visuospatial attention using positron emission tomography (paper by A. C. Nobre et al., 1997; from Brain, 120)
The influence of stimulus location on the brain activation pattern in detection and orientation discrimination: A PET study of visual attention (paper by R. Vandenberghe et al., 1996; from Brain, 119)

2. Visuospatial attention
Neuroanatomic overlap of working memory and spatial attention networks: A functional MRI comparison within subjects (paper by Kevin LaBar, Darren Gitelman, Todd Parrish, and M.-Marsel Mesulam, 1999; from NeuroImage, 10)
A common network of functional areas for attention and eye movements (paper by Maurizio Corbetta et al., 1998; from Neuron, 21)
Frontoparietal cortical networks for directing attention and the eye to visual locations: Identical, independent, or overlapping neural systems? (paper by Maurizio Corbetta, 1998; from Proceedings of the National Academy of Sciences, 95)
Control of eye movements and spatial attention (paper by Tirin Moore and Mazyar Fallah, 2001; from Proceedings of the National Academy of Sciences, 98)
For more on attention in general, see section 1.4.
Lecture by Maurizio Corbetta on neuroimaging studies of visuospatial attention (video from Neuroinformatics Research Group)

Section 11.5 - From Data To Maps: Problems And Pitfalls

1. Interpreting functional neuroimaging data
Ambiguous results in functional neuroimaging data analysis due to covariate correlation (paper by Alexandre Andrade, Anne-Lise Paradis, Stephanie Rouquette, and Jean-Baptiste Poline, 1999; from NeuroImage, 10)
More accurate interpretation of brain imaging data (article from ScienceDaily)
Over-interpreting functional neuroimages (paper by Marc Burock, 2009)
Recommended reading—FMRI methods (website from fmrimethods.org)
Interpreting oxygenation-based neuroimaging signals: The importance and the challenge of understanding brain oxygen metabolism (paper by Richard Buxton, 2010; from Frontiers in Neuroenergetics, 2)
Statistical limitations in functional neuroimaging I: Non-inferential methods and statistical models (paper by Karl Petersson, Thomas Nichols, Jean-Baptiste Poline, and Andrew Holmes, 1999; from Philosophical Transactions of the Royal Society of London B, 354)
Statistical limitations in functional neuroimaging II: Signal detection and statistical inference (paper by Karl Petersson, Thomas Nichols, Jean-Baptiste Poline, and Andrew Holmes, 1999; from Philosophical Transactions of the Royal Society of London B, 354)
What can functional neuroimaging tell the experimental psychologist? (paper by Richard Henson, 2005; from The Quarterly Journal of Experimental Psychology, 58A)
Terra cognita: From functional neuroimaging to the map of the mind (paper by Dan Lloyd, 1999)
Issues in fMRI (entry from Wikipedia)
Decomposing the mind-brain: A long-term pursuit (paper by William Bechtel, 2002; from Brain and Mind, 3)
PET: Exploring the myth and the method (paper by Robert Stufflebeam and William Bechtel, 1997; from Philosophy of Science, 64, Supplement)
The fMRI smackdown cometh (article from MindHacks)
Neurophysiological investigation of the basis of the fMRI signal (paper by Nikos Logothetis, Jon Pauls, Mark Augath, Torsten Trinath, and Axel Oeltermann, 2001; from Nature, 412)
What we can do and what we cannot do with fMRI (paper by Nikos Logothetis, 2008; from Nature, 453)
Growing pains for fMRI (article by Greg Miller, 2008; from Science, 320)