Hope Kean

The paper shows that the cerebellum can develop language sensitivity without contralateral neocortical inputs, using cases with atypical brain development.

The paper investigates the relationship between logical reasoning and language by examining neural activity and patient performance, finding that logical reasoning does not rely on the language brain network.

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.

The paper identifies distinct brain areas that process prosody in speech across multiple experiments and participants.

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

The paper identifies a human brain network specialized for abstract formal reasoning using fMRI and distinguishes it from other cognitive networks.

This study uses fMRI to show that physical reasoning involves a distinct brain network overlapping with the MD system but not the language system, suggesting it is not mediated by linguistic or exclusively domain-general abstract representations.

The paper uses fMRI to show that language processing involves a distributed network sensitive to both structure and meaning, challenging theories of distinct brain areas for each.

This study investigates whether the language system, including Broca's area, supports music perception through fMRI and aphasia patient analyses, finding no engagement of language regions in music processing.

The paper shows that auditory cortex organization is preserved in individuals missing one temporal lobe, indicating hemispheric redundancy.

The paper uses precision fMRI to show the language-selective network supports both phrase-structure building and lexical access during language production, with stronger responses in production than comprehension.

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 examines reading ability in an individual lacking the left superior temporal lobe, finding no focal word selectivity in the visual word form area but distributed neural coding for orthographic processing.

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.

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