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Hits 1 – 13 of 13

1
White Matter Hyperintensities Contribute to Language Deficits in Primary Progressive Aphasia
In: Cogn Behav Neurol (2020)
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2
An Efficient Bedside Measure Yields Prognostic Implications for Language Recovery in Acute Stroke Patients
In: Cogn Behav Neurol (2020)
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3
Baseline MRI associates with later naming status in primary progressive aphasia
In: Brain Lang (2019)
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4
“The effect of tDCS on functional connectivity in primary progressive aphasia” NeuroImage: Clinical, volume 19 (2018), pages 703–715
Ficek, Bronte N.; Wang, Zeyi; Zhao, Yi. - : Elsevier, 2019
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5
Leukoaraiosis is independently associated with naming outcome in poststroke aphasia
Wright, Amy; Tippett, Donna; Saxena, Sadhvi. - : Lippincott Williams & Wilkins, 2018
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6
The Role of Language Severity and Education in Explaining Performance on Object and Action Naming in Primary Progressive Aphasia
Riello, Marianna; Faria, Andreia V.; Ficek, Bronte. - : Frontiers Media S.A., 2018
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7
Cerebellar tDCS: A Novel Approach to Augment Language Treatment Post-stroke
Sebastian, Rajani; Saxena, Sadhvi; Tsapkini, Kyrana. - : Frontiers Media S.A., 2017
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8
Longitudinal imaging and deterioration in word comprehension in primary progressive aphasia: Potential clinical significance
In: Aphasiology. - London [u.a.] : Routledge, Taylor & Francis Group 28 (2014) 8, 948-963
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9
Distinct mechanisms and timing of language recovery after stroke
In: Cognitive neuropsychology. - Abingdon : Routledge, Taylor & Francis Group 30 (2014) 7, 454-475
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10
Distinct mechanisms and timing of language recovery after stroke
Jarso, Samson; Li, Muwei; Faria, Andreia. - : Taylor & Francis, 2014
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11
Distinct mechanisms and timing of language recovery after stroke
In: Cognitive neuropsychology. - Abingdon : Routledge, Taylor & Francis Group 30 (2013) 7, 454-475
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12
Patterns of Dysgraphia in Primary Progressive Aphasia Compared to Post-Stroke Aphasia
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13
Gross feature recognition of anatomical images based on atlas grid (GAIA): incorporating the local discrepancy between an atlas and a target image to capture the features of anatomic brain MRI
In: Qin, Yuan-Yuan; Hsu, Johnny T; Yoshida, Shoko; Faria, Andreia V; Oishi, Kumiko; Unschuld, Paul G; Redgrave, Graham W; Ying, Sarah H; Ross, Christopher A; van Zijl, Peter C M; Hillis, Argye E; Albert, Marilyn S; Lyketsos, Constantine G; Miller, Michael I; Mori, Susumu; Oishi, Kenichi (2013). Gross feature recognition of anatomical images based on atlas grid (GAIA): incorporating the local discrepancy between an atlas and a target image to capture the features of anatomic brain MRI. NeuroImage: Clinical, 3:202-211. (2013)
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