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Visual statistical learning alters low-dimensional cortical architecture

2023· preprint· en· 0 citations· W4387937729 on OpenAlex· 10.1101/2023.10.24.563271

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Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.

Post-publication record

Nature
Retraction
Reason
Error in Analyses;Error in Results and/or Conclusions;
Date
11/17/2023 0:00
Flagged by OpenAlex?
Yes

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Abstract

Our brains are in a near constant state of generating predictions, extracting regularities from seemingly random sensory inputs to support later cognition and behavior, a process called statistical learning (SL). Yet, the activity patterns across cortex and subcortex that support this form of associative learning remain unresolved. Here we use human fMRI and a visual SL task to investigate changes in neural activity patterns as participants implicitly learn visual associations from a sequence. By projecting functional connectivity patterns onto a low-dimensional manifold, we reveal that learning is selectively supported by changes along a single neural dimension spanning visual-parietal and perirhinal cortex (PRC). During learning, visual cortex expanded along this dimension, segregating from other networks, while dorsal attention network (DAN) regions contracted, integrating with higher-order transmodal cortex. When we later violated the learned associations, PRC and entorhinal cortex, which initially showed no evidence of learning-related effects, now contracted along this dimension, integrating with the default mode and DAN, while decreasing covariance with visual cortex. Whereas previous studies have linked SL to either broad cortical or medial temporal lobe changes, our findings suggest an integrative view, whereby cortical regions reorganize during association formation, while medial temporal lobe regions respond to their violation.

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The record

Venue
bioRxiv (Cold Spring Harbor Laboratory)
Topic
Neural dynamics and brain function
Field
Neuroscience
Canadian institutions
Queen's University
Funders
Keywords
Perirhinal cortexVisual cortexEntorhinal cortexPsychologyNeuroscienceTemporal lobeTemporal cortexSensory systemCognitive psychologyCognitionHippocampusRecognition memory
Has abstract in OpenAlex
yes