Zachary Mineroff

This study uses fMRI to examine how polyglots and hyperpolyglots process their languages, finding that response magnitude scales with linguistic computation engagement.

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.

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.

The paper investigates how language and Theory of Mind networks track linguistic and mental state content in naturalistic stimuli using fMRI.

The paper investigates the fronto-temporo-parietal language network across 45 languages, finding its topography and functional properties are robust to cross-linguistic variation.

The paper investigates whether frontal language areas develop without temporal language areas by studying an individual born without a left temporal lobe, finding that frontal language areas do not emerge in its absence.

The paper assesses reduced language lateralization in autism and the broader autism phenotype using individual-subject analyses and finds it is a robust and spatially selective neural marker.

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

This study shows that stronger activity in the fronto-parietal multiple-demand network is positively associated with better working memory and fluid intelligence performance.

This study compares language network efficiency between polyglots and controls using fMRI, finding polyglots use fewer neural resources for language processing.

This study uses fMRI to investigate whether syntactic and lexico-semantic processing are localized to distinct brain regions, finding no such selectivity within the language network.

The paper tests whether the language-selective network responds to sentence-level composition despite word order violations in naturalistic sentences.

The paper examines the functional relationships between language, multiple demand, and default mode networks using fMRI data, finding strong within-network correlations and weak cross-network correlations.

This paper attempts to replicate a dissociation between syntax and semantics during sentence comprehension reported by Dapretto & Bookheimer (1999) but fails to find the original dissociation in the left inferior frontal gyrus.