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Maria Varkanitsa
Maria Varkanitsa
Research Assistant Professor, Boston University
Verified email at bu.edu
Title
Cited by
Cited by
Year
Why is it difficult to predict language impairment and outcome in patients with aphasia after stroke?
A Charidimou, D Kasselimis, M Varkanitsa, C Selai, C Potagas, ...
Journal of Clinical Neurology (Seoul, Korea) 10 (2), 75, 2014
562014
Silent pauses in aphasia
G Angelopoulou, D Kasselimis, G Makrydakis, M Varkanitsa, P Roussos, ...
Neuropsychologia 114, 41-49, 2018
362018
On the association between memory capacity and sentence comprehension: Insights from a systematic review and meta-analysis of the aphasia literature
M Varkanitsa, D Caplan
Journal of Neurolinguistics 48, 4-25, 2018
352018
White matter hyperintensities predict response to language treatment in poststroke aphasia
M Varkanitsa, C Peñaloza, A Charidimou, D Caplan, S Kiran
Neurorehabilitation and neural repair 34 (10), 945-953, 2020
272020
Multimodal neural and behavioral data predict response to rehabilitation in chronic poststroke aphasia
A Billot, S Lai, M Varkanitsa, EJ Braun, B Rapp, TB Parrish, J Higgins, ...
Stroke 53 (5), 1606-1614, 2022
152022
A machine learning approach for predicting post-stroke aphasia recovery: A pilot study
Y Gu, M Bahrani, A Billot, S Lai, EJ Braun, M Varkanitsa, J Bighetto, ...
Proceedings of the 13th ACM International Conference on PErvasive …, 2020
122020
How much attention do we pay to attention deficits in poststroke aphasia?
M Varkanitsa, E Godecke, S Kiran
Stroke 54 (1), 55-66, 2023
102023
Quantitative and error analysis of connected speech: Evidence from Greek-speaking patients with aphasia and normal speakers.
M Varkanitsa
Current Trends in Greek Linguistics., 313-338, 2012
82012
Understanding, facilitating and predicting aphasia recovery after rehabilitation
M Varkanitsa, S Kiran
International journal of speech-language pathology 24 (3), 248-259, 2022
72022
Syntactic predictions and asyntactic comprehension in aphasia: Evidence from scope relations
M Varkanitsa, D Kasselimis, AJB Fugard, I Evdokimidis, J Druks, ...
Journal of Neurolinguistics 40, 15-36, 2016
72016
An exploration of machine learning methods for predicting post-stroke aphasia recovery
S Lai, A Billot, M Varkanitsa, E Braun, B Rapp, T Parrish, A Kurani, ...
Proceedings of the 14th PErvasive Technologies Related to Assistive …, 2021
62021
Word error analysis in aphasia: introducing the Greek aphasia error corpus (GRAEC)
D Kasselimis, M Varkanitsa, G Angelopoulou, I Evdokimidis, D Goutsos, ...
Frontiers in psychology 11, 533087, 2020
62020
The Corpus of Greek aphasic speech: design and compilation
D Goutsos, C Potagas, D Kasselimis, M Varkanitsa, I Evdokimidis
Las Tecnologías de la Información y las Comunicaciones: Presente y Futuro en …, 2011
42011
Neurological approaches to agrammatism
DS Kasselimis, M Varkanitsa
Elsevier, 2015
32015
Cerebral Small Vessel Disease burden: An independent biomarker for anomia treatment responsiveness in chronic stroke patients with aphasia
M Varkanitsa, C Peñaloza, A Charidimou, S Kiran
Archives of Physical Medicine and Rehabilitation 104 (10), 1630-1637, 2023
22023
Verbal memory and sentence comprehension in aphasia: A case series
M Varkanitsa, D Kasselimis, G Boulouis, AJB Fugard, I Evdokimidis, ...
Neurocase 25 (5), 169-176, 2019
22019
Quantitative analysis of connected speech in aphasia: insights from Greek-speaking patients with fluent and non-fluent types of aphasia
J Druks, M Varkanitsa, D Kasselimis, C Potagas, I Evdokimidis
Procedia-Social and Behavioral Sciences 23, 125-126, 2011
22011
Resting-state brain network connectivity is an independent predictor of responsiveness to language therapy in chronic post-stroke aphasia
I Falconer, M Varkanitsa, S Kiran
Cortex, 2024
12024
Exploring Pragmatic Deficits in Relation to Theory of Mind and Executive Functions: Evidence from Individuals with Right Hemisphere Stroke
D Tsolakopoulos, D Kasselimis, N Laskaris, G Angelopoulou, ...
Brain Sciences 13 (10), 1385, 2023
12023
Cerebral Small Vessel Disease Burden: a Biomarker for Post-Stroke Aphasia Recovery
M Varkanitsa, C Peñaloza, A Charidimou, D Caplan, S Kiran
Preprint, 2021
12021
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