The normative modeling framework for computational psychiatry

S Rutherford, SM Kia, T Wolfers, C Fraza, M Zabihi… - Nature protocols, 2022 - nature.com
Normative modeling is an emerging and innovative framework for mapping individual
differences at the level of a single subject or observation in relation to a reference model. It …

Is it time to put rest to rest?

ES Finn - Trends in cognitive sciences, 2021 - cell.com
The so-called resting state, in which participants lie quietly with no particular inputs or
outputs, represented a paradigm shift from conventional task-based studies in human …

Evidence for embracing normative modeling

S Rutherford, P Barkema, IF Tso, C Sripada… - Elife, 2023 - elifesciences.org
In this work, we expand the normative model repository introduced in Rutherford et al.,
2022a to include normative models charting lifespan trajectories of structural surface area …

[HTML][HTML] Brain-wide functional connectivity patterns support general cognitive ability and mediate effects of socioeconomic status in youth

C Sripada, M Angstadt, A Taxali, DA Clark… - Translational …, 2021 - nature.com
General cognitive ability (GCA) is an individual difference dimension linked to important
academic, occupational, and health-related outcomes and its development is strongly linked …

[HTML][HTML] How tasks change whole-brain functional organization to reveal brain-phenotype relationships

AS Greene, S Gao, S Noble, D Scheinost… - Cell reports, 2020 - cell.com
Functional connectivity (FC) calculated from task fMRI data better reveals brain-phenotype
relationships than rest-based FC, but how tasks have this effect is unknown. In over 700 …

Progressive recruitment of the frontoparietal multiple-demand system with increased task complexity, time pressure, and reward

S Shashidhara, DJ Mitchell, Y Erez… - Journal of cognitive …, 2019 - direct.mit.edu
A distributed, frontoparietal “multiple-demand”(MD) network is involved in tasks of many
different kinds. Integrated activity across this network may be needed to bind together the …

The prediction of brain activity from connectivity: advances and applications

M Bernstein-Eliav, I Tavor - The Neuroscientist, 2024 - journals.sagepub.com
The human brain is composed of multiple, discrete, functionally specialized regions that are
interconnected to form large-scale distributed networks. Using advanced brain-imaging …

[HTML][HTML] On the prediction of human intelligence from neuroimaging: A systematic review of methods and reporting

BH Vieira, GSP Pamplona, K Fachinello, AK Silva… - Intelligence, 2022 - Elsevier
Reviews and meta-analyses have proved to be fundamental to establish neuroscientific
theories on intelligence. The prediction of intelligence using invivo neuroimaging data and …

Multitask brain network reconfiguration is inversely associated with human intelligence

JA Thiele, J Faskowitz, O Sporns, K Hilger - Cerebral Cortex, 2022 - academic.oup.com
Intelligence describes the general cognitive ability level of a person. It is one of the most
fundamental concepts in psychological science and is crucial for the effective adaption of …

[HTML][HTML] Act natural: Functional connectivity from naturalistic stimuli fMRI outperforms resting-state in predicting brain activity

S Gal, Y Coldham, N Tik, M Bernstein-Eliav, I Tavor - Neuroimage, 2022 - Elsevier
The search for an 'ideal'approach to investigate the functional connections in the human
brain is an ongoing challenge for the neuroscience community. While resting-state …