Author
Liina Pylkkänen A
New York UniversityORCID 0000-0002-6332-9378Unclaimed ORCID profile · follow to get notified of new preprints
Biology Disciplines
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2018-2026 · peak 5/yrCo-Author Collaboration Network
10 top collaborators · 5 mutual co-author links23 papers
Recent·Most cited
- NeurosciencebioRxivPreprint
Comparing serial and parallel language input: Shared neural representations with distinct encoding strengths
Simone Krogh, Liina Pylkkänen A
This study compares neural representations of grammaticality in serial and parallel language input using MEG, finding shared representations with distinct encoding strengths.
DOI 10.64898/2026.09.23.753812 - NeurosciencebioRxivPreprint
No tiger in plastic tiger: Local linguistic context alters the neural representations of individual words
Simone Krogh, Liina Pylkkänen A
The paper investigates how local linguistic context affects neural representations of words, finding that phrase-level animacy is decoded early and persists, challenging theories of basic-to-derived meaning shifts.
- NeurosciencebioRxivPreprint
Temporal constraints on the neural signatures of narrative processing
Aline-Priscillia Messi, Abir Bhuyain, Liina Pylkkänen A
This study uses MEG to show that neural responses to narratives are temporally constrained, with presentation speed affecting the spatiotemporal progression of activity and the distinction between word lists, sentences, and stories.
DOI 10.64898/2026.07.09.737443 - NeuroscienceeLifePeer-reviewed
Multi-talker speech comprehension at different temporal scales in listeners with normal and impaired hearing
Jixing Li, Qixuan Wang, Qian Zhou…·Zhiwu Huang
This study examines how hearing-impaired and normal-hearing listeners process speech in multi-talker scenarios, revealing disruptions in neural responses at shorter and longer temporal scales.
DOI 10.7554/elife.100056.4 - NeurosciencebioRxivPreprint
A Unified Neural Timecourse for Words, Phrases, and Sentences: MEG Evidence from Parallel Presentation
Nigel Flower, Liina Pylkkänen A
The paper uses MEG to show that words, phrases, and sentences are processed with similar neural dynamics, supporting a model where global form is detected first, followed by serial combinatory processing.
- NeuroscienceLanguage Cognition and NeurosciencePeer-reviewed
Manipulating syntax without taxing working memory: MEG correlates of syntactic dependencies in a Verb-Second language
Simone Krogh, Liina Pylkkänen A
The paper investigates neural correlates of syntactic dependencies in a Verb-Second language using MEG, finding increased responses in left fronto-temporal regions for sentences compared to list-controls.
6 citations - NeuroscienceJournal of NeurosciencePeer-reviewed
The spatiotemporal dynamics of bottom-up and top-down processing during at-a-glance reading
Nigel Flower, Liina Pylkkänen A
The paper investigates how the brain detects and corrects grammatical errors in sentences during rapid visual processing, showing that syntax influences neural activity quickly after visual input.
14 citations - NeurosciencebioRxiv
Evaluating the timecourses of morpho-orthographic, lexical, and grammatical processing following rapid parallel visual presentation: an EEG investigation in English.
Donald G. Dunagan, Tyson Jordan, John Hale…·Dustin Alfonso Chacón
The paper uses EEG to study how the brain processes sentences in a single glance, finding rapid recognition but no full syntactic analysis.
13 citations - NeuroscienceNeurobiology of LanguagePeer-reviewed
Reactive Inhibitory Control Precedes Overt Stuttering Events
Joan Orpella, Graham Flick, María Florencia Assaneo…·Eric S. Jackson
The paper investigates reactive inhibitory control preceding stuttered speech using MEG, finding increased beta power in R-preSMA associated with stuttering severity and trial outcomes.
23 citationstop 1% - NeuroscienceImaging NeurosciencePeer-reviewed
Semantic composition in experimental and naturalistic paradigms
Jixing Li, Marco Chia-Ho Lai, Liina Pylkkänen A
This study investigates whether neural signatures of semantic composition in a controlled two-word paradigm extend to naturalistic story listening using MEG, finding consistent patterns with differences in latency that disappear when accounting for contextual factors.
14 citations - NeurosciencebioRxivPreprint
Non-Local Conceptual Combination
Alicia Parrish, Amilleah Rodriguez, Liina Pylkkänen A
This paper investigates whether the brain combines concepts across syntactically unrelated words, finding evidence of non-local conceptual combination in the left anterior temporal lobe using MEG.
- NeuroscienceHuman Brain MappingPeer-reviewed
From letters to composed concepts: A magnetoencephalography study of reading
Graham Flick, Osama Abdullah, Liina Pylkkänen A
This study uses magnetoencephalography to investigate how the brain processes semantic combinations in language, identifying specific brain regions involved in thematic and feature-based meaning integration.
- NeuroscienceJournal of NeurosciencePeer-reviewed
Disentangling Semantic Composition and Semantic Association in the Left Temporal Lobe
The paper uses MEG to distinguish neural activity for semantic composition and association in the left temporal lobe, finding distinct roles for anterior and middle temporal regions.
- NeurosciencePLoS ONEPeer-reviewed
Neural representation of words within phrases: Temporal evolution of color-adjectives and object-nouns during simple composition
Maryam Honari-Jahromi, Brea Chouinard, Esti Blanco-Elorrieta…·Alona Fyshe
The paper investigates how word representations evolve during phrase composition using decoding techniques and MEG data, finding asymmetries between nouns and adjectives.
16 citations - NeuroscienceJournal of NeurosciencePeer-reviewed
Lists with and without syntax: A new approach to measuring the neural processing of syntax
Ryan M.C. Law, Liina Pylkkänen A
The paper measures neural processing of syntax by comparing word lists embedded in sentences and longer lists, finding distinct neural responses to syntax and semantics.
- NeuroscienceeNeuroPeer-reviewed
Neural correlates of modal displacement and discourse-updating under (un)certainty
Maxime Alexandra Tulling, Ryan M.C. Law, Ailís Cournane, Liina Pylkkänen A
This study uses MEG to investigate neural differences between factual and modal utterances in discourse, finding distinct brain activity patterns during belief updating.
2 citations - NeurosciencebioRxivPreprint
Cortical processing of reference in language revealed by computational models
Jixing Li, Shaonan Wang, Wen‐Ming Luh…·John Hale
This study uses fMRI and MEG to identify neural activity patterns during pronoun processing and evaluates symbolic and deep learning models to understand referential processing mechanisms.
- NeuroscienceJournal of Cognitive NeurosciencePeer-reviewed
Understanding requires tracking: noise and knowledge interact in bilingual comprehension
Esti Blanco-Elorrieta, Nai Ding, Liina Pylkkänen A, David Poeppel
The paper investigates how noise and linguistic knowledge affect bilingual speech comprehension, finding that noise impairs neural tracking of speech structure in second languages.
32 citations - NeuroscienceCortexPeer-reviewed
Isolating syntax in natural language: MEG evidence for an early contribution of left posterior temporal cortex
Graham Flick, Liina Pylkkänen A
The paper uses MEG to show that left posterior temporal cortex activity increases when syntactic composition is simpler in natural language, with connectivity to other brain regions involved in syntax and semantics.
47 citations - NeurosciencebioRxivPreprint
Neural adaptation to accented speech: prefrontal cortex aids attunement in auditory cortices
Esti Blanco-Elorrieta, Laura Gwilliams, Alec Marantz, Liina Pylkkänen A
This study investigates how the brain adapts to accented speech, finding that prefrontal cortex modulates auditory cortex activity to aid comprehension.
- NeurosciencebioRxivPreprint
Lexical Access in Comprehension vs. Production: Spatiotemporal Localization of Semantic Facilitation and Interference
Julien Dirani, Liina Pylkkänen A
The paper compares semantic facilitation in comprehension and interference in production using MEG, showing distinct spatiotemporal patterns in left temporal and insular regions.