Automated analysis of lexical features in frontotemporal degeneration is a research paper published in Cortex (2021). On theSindex it has a DataRank of 0. It has been cited 42 times.
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NINDS NIH HHS
Grant: K23 NS088341
NIA NIH HHS
Grant: P01 AG017586
NIDCD NIH HHS
Grant: R01 DC013063
NIA NIH HHS
Grant: R00 AG056054
NIA NIH HHS
Grant: R01 AG054519
NIA NIH HHS
Grant: K99 AG056054
NINDS NIH HHS
Grant: R01 NS109260
NIA NIH HHS
Grant: U01 AG052943
NIA NIH HHS
Grant: P01 AG066597
National Institutes of Health
Grant: 5K23NS088341-04
Identification of Endophenotypes in the Behavioral-Variant of Frontotemporal Deme
National Institutes of Health
Grant: 5R01DC013063-04
Semantic Memory and Language Learning in Alzheimer's Disease and Semantic Dementi
National Institutes of Health
Grant: 5R01AG054519-04
Spreading Tau Pathology in Non-Amnestic Alzheimer's Disease
National Institutes of Health
Grant: 5P01AG017586-18
Frontotemporal Dementias: Genotypes and Phenotypes
National Institutes of Health
Grant: 1U01AG052943-01
Connectomic imaging in familial and sporadic frontotemporal degeneration
National Institutes of Health
Grant: 5P01AG066597-02
From cells to complex syndromes: using networks to understand heterogeneity in TDP-related frontotemporal degeneration and aging
National Institutes of Health
Grant: 5R00AG056054-04
Cognitive and Neural Moderators of Longitudinal Decline in Frontotemporal Degeneration
National Institutes of Health
Wyncote Foundation
Alzheimer's Association
FWCI
3.37
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals