@article {47704,
	title = {Structurally-constrained relationships between cognitive states in the human brain.},
	journal = {PLoS computational biology},
	volume = {10},
	year = {2014},
	month = {2014 May},
	pages = {e1003591},
	abstract = {<p>The anatomical connectivity of the human brain supports diverse patterns of correlated neural activity that are thought to underlie cognitive function. In a manner sensitive to underlying structural brain architecture, we examine the extent to which such patterns of correlated activity systematically vary across cognitive states. Anatomical white matter connectivity is compared with functional correlations in neural activity measured via blood oxygen level dependent (BOLD) signals. Functional connectivity is separately measured at rest, during an attention task, and during a memory task. We assess these structural and functional measures within previously-identified resting-state functional networks, denoted task-positive and task-negative networks, that have been independently shown to be strongly anticorrelated at rest but also involve regions of the brain that routinely increase and decrease in activity during task-driven processes. We find that the density of anatomical connections within and between task-positive and task-negative networks is differentially related to strong, task-dependent correlations in neural activity. The space mapped out by the observed structure-function relationships is used to define a quantitative measure of separation between resting, attention, and memory states. We find that the degree of separation between states is related to both general measures of behavioral performance and relative differences in task-specific measures of attention versus memory performance. These findings suggest that the observed separation between cognitive states reflects underlying organizational principles of human brain structure and function.</p>
},
	keywords = {Attention, Brain, Cognition, Computer Simulation, Connectome, Humans, Memory, Models, Anatomic, Models, Neurological, Nerve Net, White Matter},
	issn = {1553-7358},
	doi = {10.1371/journal.pcbi.1003591},
	author = {Hermundstad, Ann M and Brown, Kevin S and Bassett, Danielle S and Aminoff, Elissa M and Frithsen, Amy and Johnson, Arianne and Tipper, Christine M and Miller, Michael B and Grafton, Scott T and Carlson, Jean M}
}
@article {47705,
	title = {Structural foundations of resting-state and task-based functional connectivity in the human brain.},
	journal = {Proceedings of the National Academy of Sciences of the United States of America},
	volume = {110},
	year = {2013},
	month = {2013 Apr 9},
	pages = {6169-74},
	abstract = {<p>Magnetic resonance imaging enables the noninvasive mapping of both anatomical white matter connectivity and dynamic patterns of neural activity in the human brain. We examine the relationship between the structural properties of white matter streamlines (structural connectivity) and the functional properties of correlations in neural activity (functional connectivity) within 84 healthy human subjects both at rest and during the performance of attention- and memory-demanding tasks. We show that structural properties, including the length, number, and spatial location of white matter streamlines, are indicative of and can be inferred from the strength of resting-state and task-based functional correlations between brain regions. These results, which are both representative of the entire set of subjects and consistently observed within individual subjects, uncover robust links between structural and functional connectivity in the human brain.</p>
},
	keywords = {Aging, Attention, Brain, Brain Mapping, Cognition, Computational Biology, Diffusion Magnetic Resonance Imaging, Humans, Magnetic Resonance Imaging, Memory, Models, Statistical, Neural Pathways, Software},
	issn = {1091-6490},
	doi = {10.1073/pnas.1219562110},
	author = {Hermundstad, Ann M and Bassett, Danielle S and Brown, Kevin S and Aminoff, Elissa M and Clewett, David and Freeman, Scott and Frithsen, Amy and Johnson, Arianne and Tipper, Christine M and Miller, Michael B and Grafton, Scott T and Carlson, Jean M}
}
