Anna Aleksandrovna Ivanova

Scaling laws for group-constrained, subject-specific task fMRI analyses

This paper introduces a group-constrained, subject-specific fMRI analysis framework that achieves reliable results with smaller sample sizes than traditional methods.

The language network responds robustly to sentences across diverse tasks

The paper investigates the stability of language network responses across different tasks and compares it to the multiple demand network, finding robust language processing in the language network and task-dependent responses in the MD network.

Semantic reasoning takes place largely outside the language network

The paper identifies brain regions outside the language network involved in semantic processing of both linguistic and pictorial stimuli using fMRI experiments.

The language network reliably 'tracks' naturalistic meaningful non-verbal stimuli

This study shows that the language network tracks semantically rich non-verbal stimuli more than semantically poor ones but less than linguistic stimuli.

No evidence for a special role of language in feature-based categorization

The paper tests the hypothesis that language aids in feature-based categorization but finds no evidence supporting this role in individuals with aphasia or healthy adults using fMRI.

Beyond linear regression: mapping models in cognitive neuroscience should align with research goals

The paper argues that mapping models in cognitive neuroscience should be chosen based on research goals rather than being strictly linear or nonlinear, and introduces complexity metrics for evaluation.

LanA (Language Atlas): A probabilistic atlas for the language network based on fMRI data from >800 individuals

The paper introduces a probabilistic atlas for the language network using fMRI data from 806 individuals to bridge gaps between group-level and individual-level language research.

Comprehension of computer code relies primarily on domain-general executive brain regions

This study uses fMRI to show that the multiple demand system, not the language system, is primarily involved in understanding computer code, even when the code resembles natural language.

The language network is recruited but not required for non-verbal event semantics

The study shows that the language network is involved but not essential for processing non-verbal event semantics using fMRI and aphasia patient comparisons.