Julius Fridriksson

Transformer Language Models Reveal Distinct Patterns in Aphasia Subtypes and Recovery Trajectories

This paper uses GPT-2 to analyze aphasia subtypes and recovery by examining activation patterns in narrative speech over time, finding distinct differences across subtypes and changes during recovery.

Head-level lesion-symptom mapping of picture naming in vision-language models

The paper ablates attention heads in vision-language models to study picture naming accuracy, finding that head removal disrupts naming but does not confirm the head computes the behavior.

Mapping of critical prosodic and phonetic networks in post-stroke apraxia of speech

The paper maps neural substrates for prosodic and phonetic speech motor coordination in post-stroke apraxia of speech using lesion-symptom mapping in a large cohort.

Verbal working memory and syntactic comprehension segregate into the dorsal and ventral streams

This study investigates the neural separation of verbal working memory and syntactic comprehension, finding distinct brain networks associated with each function.

How can graph theory inform the dual-stream model of speech processing? a resting-state fMRI study of post-stroke aphasia

This study uses resting-state fMRI and graph theory to examine how disruptions in the dual-stream speech processing model relate to aphasia impairments in stroke patients.

Improving 3D Edge Detection for Visual Inspection of MRI Coregistration and Alignment

The paper proposes using the second derivative (DoG) for edge detection in MRI coregistration, improving alignment quality by generating closed surfaces and reducing intensity dependency.

The Wernicke conundrum revisited: evidence from connectome-based lesion-symptom mapping

The paper uses connectome-based lesion-symptom mapping to investigate word and sentence comprehension deficits in stroke patients, finding that middle-posterior temporal lobe regions, not double disconnection, are primarily responsible.

The Neuroanatomy of Speech Processing: A Large-Scale Lesion Study

This study investigates the neural basis of speech processing by analyzing lesion data from 158 individuals with brain damage, identifying key regions involved in syllable discrimination and word comprehension.

Mapping the human praxis network: an investigation of white matter disconnection in apraxia

The paper maps structural white matter disconnections in apraxia by analyzing diffusion tensor imaging data from stroke patients, identifying key fronto-temporo-parietal and subcortical networks involved.

Functional differentiation in the language network revealed by lesion-symptom mapping

This study uses lesion-symptom mapping to identify functional differentiation in language network regions by analyzing aphasia patients with left hemisphere stroke damage.

Agrammatism and paragrammatism: a cortical double dissociation revealed by lesion-symptom mapping

This study uses lesion-symptom mapping to show a double dissociation between agrammatism and paragrammatism, linking them to distinct brain regions.

Neural organization of speech production: A lesion-based study of error patterns in connected speech

This study examines word error patterns in connected speech and object naming after left hemisphere stroke, finding distinct neural substrates for different types of paraphasias.