Alex Teghipco

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 14

Top Topics

Subarachnoid Hemorrhage

Cognitive Impairment

Top Venues

Neurobiology of language (Cambridge, Mass.)

Communications medicine

Communications biology

Research square

This page only lists publications with an associated author ORCID identifier.

Publications

Alex Teghipco, Roger Newman-Norlund, Julius Fridriksson, Christopher Rorden, Leonardo Bonilha
Distinct brain morphometry patterns revealed by deep learning improve prediction of post-stroke aphasia severity. Communications medicine 4 (1) (2024)
Alex Teghipco, Roger Newman-Norlund, Julius Fridriksson, Christopher Rorden, Leonardo Bonilha
Distinct brain morphometry patterns revealed by deep learning improve prediction of post-stroke aphasia severity. Communications medicine 4 (1) (2024)
Natalie Busby, Sarah Newman-Norlund, Sara Sayers, Chris Rorden, Roger Newman-Norlund, Janina Wilmskoetter, Rebecca Roth, Sarah C Wilson, Deena Schwen-Blackett, Sigfus Kristinsson, Alex Teghipco, Julius Fridriksson, Leonardo Bonilha
Regional brain aging: premature aging of the domain general system predicts aphasia severity. Communications biology 7 (1) (2024)
Natalie Busby, Sarah Newman-Norlund, Sara Sayers, Chris Rorden, Roger Newman-Norlund, Janina Wilmskoetter, Rebecca Roth, Sarah C Wilson, Deena Schwen-Blackett, Sigfus Kristinsson, Alex Teghipco, Julius Fridriksson, Leonardo Bonilha
Regional brain aging: premature aging of the domain general system predicts aphasia severity. Communications biology 7 (1) (2024)
Roger D Newman-Norlund, Makayla Gibson, Lisa Johnson, Alex Teghipco, Chris Rorden, Leonardo Bonilha, Julius Fridriksson
Cerebellar Atrophy and Language Processing in Chronic Left-Hemisphere Stroke. Neurobiology of language (Cambridge, Mass.) 5 (3) (2024)
Alex Teghipco, Roger Newman-Norlund, Julius Fridriksson, Christopher Rorden, Leonardo Bonilha
Distinct brain morphometry patterns revealed by deep learning improve prediction of post-stroke aphasia severity. Communications medicine 4 (1) (2024)
Sarah C Wilson, Alex Teghipco, Sara Sayers, Roger D Newman-Norlund, Sarah Newman-Norlund, Julius Fridriksson
Story Recall in Peer Conflict Resolution Discourse Task to Identify Older Adults Testing Within Range of Cognitive Impairment. American journal of speech-language pathology (2024)
Roger D Newman-Norlund, Makayla Gibson, Lisa Johnson, Alex Teghipco, Chris Rorden, Leonardo Bonilha, Julius Fridriksson
Cerebellar Atrophy and Language Processing in Chronic Left-Hemisphere Stroke. Neurobiology of language (Cambridge, Mass.) 5 (3) (2024)
Natalie Busby, Sarah Newman-Norlund, Sara Sayers, Chris Rorden, Roger Newman-Norlund, Janina Wilmskoetter, Rebecca Roth, Sarah C Wilson, Deena Schwen-Blackett, Sigfus Kristinsson, Alex Teghipco, Julius Fridriksson, Leonardo Bonilha
Regional brain aging: premature aging of the domain general system predicts aphasia severity. Communications biology 7 (1) (2024)
Roger D Newman-Norlund, Makayla Gibson, Lisa Johnson, Alex Teghipco, Chris Rorden, Leonardo Bonilha, Julius Fridriksson
Cerebellar Atrophy and Language Processing in Chronic Left-Hemisphere Stroke. Neurobiology of language (Cambridge, Mass.) 5 (3) (2024)
Alex Teghipco, Roger Newman-Norlund, Julius Fridriksson, Christopher Rorden, Leonardo Bonilha
Distinct brain morphometry patterns revealed by deep learning improve prediction of post-stroke aphasia severity. Communications medicine 4 (1) (2024)
Natalie Busby, Sarah Newman-Norlund, Sara Sayers, Chris Rorden, Roger Newman-Norlund, Janina Wilmskoetter, Rebecca Roth, Sarah C Wilson, Deena Schwen-Blackett, Sigfus Kristinsson, Alex Teghipco, Julius Fridriksson, Leonardo Bonilha
Regional brain aging: premature aging of the domain general system predicts aphasia severity. Communications biology 7 (1) (2024)
Alex Teghipco, Kayoko Okada, Emma Murphy, Gregory Hickok
Predictive Coding and Internal Error Correction in Speech Production. Neurobiology of language (Cambridge, Mass.) 4 (1) (2023)
Alex Teghipco, Roger Newman-Norlund, Julius Fridriksson, Christopher Rorden, Leonardo Bonilha
Distinct brain morphometry patterns revealed by deep learning improve prediction of aphasia severity. Research square (2023)