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A neuromarker of sustained attention from whole-brain functional connectivity.

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TLDR
It is demonstrated that whole-brain functional network strength provides a broadly applicable neuromarker of sustained attention, and predicts a clinical measure of attention—symptoms of attention deficit hyperactivity disorder—from resting-state connectivity in an independent sample of children and adolescents.
Abstract
Although attention plays a ubiquitous role in perception and cognition, researchers lack a simple way to measure a person's overall attentional abilities. Because behavioral measures are diverse and difficult to standardize, we pursued a neuromarker of an important aspect of attention, sustained attention, using functional magnetic resonance imaging. To this end, we identified functional brain networks whose strength during a sustained attention task predicted individual differences in performance. Models based on these networks generalized to previously unseen individuals, even predicting performance from resting-state connectivity alone. Furthermore, these same models predicted a clinical measure of attention--symptoms of attention deficit hyperactivity disorder--from resting-state connectivity in an independent sample of children and adolescents. These results demonstrate that whole-brain functional network strength provides a broadly applicable neuromarker of sustained attention.

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Building better biomarkers: brain models in translational neuroimaging

TL;DR: The state of translational neuroimaging is reviewed, an approach to developing brain signatures that can be shared, tested in multiple contexts and applied in clinical settings is outlined and a program of broad exploration followed by increasingly rigorous assessment of generalizability is outlined.
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Using connectome-based predictive modeling to predict individual behavior from brain connectivity.

TL;DR: This protocol includes the following steps: feature selection, feature summarization, model building, and assessment of prediction significance, and it has been demonstrated that the CPM protocol performs as well as or better than many of the existing approaches in brain-behavior prediction.
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Robust prediction of individual creative ability from brain functional connectivity

TL;DR: A whole-brain network associated with high-creative ability comprised of cortical hubs within default, salience, and executive systems—intrinsic functional networks that tend to work in opposition is identified, suggesting that highly creative people are characterized by the ability to simultaneously engage these large-scale brain networks.
Journal ArticleDOI

Spatial Topography of Individual-Specific Cortical Networks Predicts Human Cognition, Personality, and Emotion.

TL;DR: Network topography estimated by MS-HBM was more effective for behavioral prediction than network size, as well as network topography Estimated by other parcellation approaches, similar to connectivity strength, which might also serve as a fingerprint of human behavior.
Journal ArticleDOI

Task-induced brain state manipulation improves prediction of individual traits.

TL;DR: It is shown that task-based functional connectivity better predicts intelligence-related measures than rest-based connectivity, suggesting that cognitive tasks amplify individual differences in trait-relevant circuitry.
References
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Journal ArticleDOI

Control of goal-directed and stimulus-driven attention in the brain

TL;DR: Evidence for partially segregated networks of brain areas that carry out different attentional functions is reviewed, finding that one system is involved in preparing and applying goal-directed selection for stimuli and responses, and the other is specialized for the detection of behaviourally relevant stimuli.
Journal ArticleDOI

Complex network measures of brain connectivity: uses and interpretations.

TL;DR: Construction of brain networks from connectivity data is discussed and the most commonly used network measures of structural and functional connectivity are described, which variously detect functional integration and segregation, quantify centrality of individual brain regions or pathways, and test resilience of networks to insult.
Journal ArticleDOI

Neural Mechanisms of Selective Visual Attention

TL;DR: The two basic phenomena that define the problem of visual attention can be illustrated in a simple example and selectivity-the ability to filter out un­ wanted information is illustrated.
Journal ArticleDOI

Behavioral inhibition, sustained attention, and executive functions: Constructing a unifying theory of ADHD.

TL;DR: A theoretical model that links inhibition to 4 executive neuropsychological functions that appear to depend on it for their effective execution is constructed and finds it to be strongest for deficits in behavioral inhibition, working memory, regulation of motivation, and motor control in those with ADHD.
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