TY - JOUR

T1 - Rearrangement of the Activity of Neural Networks in the Human Brain on Reaching the Recognition Threshold for Fragmented Images

AU - Shelepin, K. Yu

AU - Shelepin, Yu E.

N1 - Publisher Copyright: © 2021, Springer Science+Business Media, LLC, part of Springer Nature. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2021/2

Y1 - 2021/2

N2 - Common patterns of rearrangements of neural networks in the whole human brain on reaching the threshold of recognition of images in conditions of uncertainly were identifi ed. This result was obtained using a combination of digital synthesis of dynamic images and a brain activity mapping method using fMRI BOLD (blood oxygen level-dependent) signals. Reaching the threshold of recognition of images of objects was found to be associated with increases in the BOLD signal in some parts of the brain and decreases in the activity of neural networks in other areas. Brain areas whose activity was maximal at the time corresponding to the recognition threshold and task solution were described, and this activity was shown to be lesser in subthreshold and even suprathreshold conditions for observation of dynamic images. Areas in which this activity was minimal were identified. The data were interpreted in the framework of multichannel and multilevel model of systems taking decisions relating to visual signals.

AB - Common patterns of rearrangements of neural networks in the whole human brain on reaching the threshold of recognition of images in conditions of uncertainly were identifi ed. This result was obtained using a combination of digital synthesis of dynamic images and a brain activity mapping method using fMRI BOLD (blood oxygen level-dependent) signals. Reaching the threshold of recognition of images of objects was found to be associated with increases in the BOLD signal in some parts of the brain and decreases in the activity of neural networks in other areas. Brain areas whose activity was maximal at the time corresponding to the recognition threshold and task solution were described, and this activity was shown to be lesser in subthreshold and even suprathreshold conditions for observation of dynamic images. Areas in which this activity was minimal were identified. The data were interpreted in the framework of multichannel and multilevel model of systems taking decisions relating to visual signals.

KW - brain cytoarchitectonics

KW - decision-taking

KW - incomplete images

KW - recognition of visual images

KW - threshold

KW - vision

KW - visualization of brain activity

UR - http://www.scopus.com/inward/record.url?scp=85101122978&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/1df048bc-5696-3b7b-a9e8-b25943523bbd/

U2 - 10.1007/s11055-021-01061-x

DO - 10.1007/s11055-021-01061-x

M3 - Article

AN - SCOPUS:85101122978

VL - 51

SP - 229

EP - 237

JO - Neuroscience and Behavioral Physiology

JF - Neuroscience and Behavioral Physiology

SN - 0097-0549

IS - 2

ER -