The Individualized Neural Tuning Model: Precise and generalizable cartography of functional architecture in individual brains

Feilong, M.; Nastase, S. A.; Jiahui, G.; Halchenko, Y. O.; Gobbini, M. I.; Haxby, J. V.

doi:10.1101/2022.05.15.492022

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bioRxiv · 10.1101/2022.05.15.492022

The Individualized Neural Tuning Model: Precise and generalizable cartography of functional architecture in individual brains

Feilong, M.·Nastase, S. A.·Jiahui, G.·Halchenko, Y. O.·Gobbini, M. I.·Haxby, J. V.

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Abstract

Quantifying how brain functional architecture differs from person to person is a key challenge in human neuroscience. Current individualized models of brain functional organization are based on brain regions and networks, limiting their use in studying fine-grained vertex-level differences. In this work, we present the Individualized Neural Tuning (INT) model, a fine-grained individualized model of brain functional organization. The INT model is designed to have vertex-level granularity, to capture both representational and topographic differences, and to model stimulus-general neural tuning. Through a series of analyses, we demonstrate that (a) our INT model provides a reliable individualized measure of fine-grained brain functional organization, (b) it accurately predicts individualized brain response patterns to new stimuli, and (c) it requires only 10-20 minutes of data for good performance. The high reliability, specificity, precision, and generalizability of our INT model affords new opportunities for building brain-based biomarkers based on naturalistic neuroimaging paradigms.

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Feilong, M., Nastase, S. A., Jiahui, G., Halchenko, Y. O., Gobbini, M. I., Haxby, J. V.. 2022-05-15. The Individualized Neural Tuning Model: Precise and generalizable cartography of functional architecture in individual brains. https://doi.org/10.1101/2022.05.15.492022

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