MARC details
| 000 -LEADER |
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| fixed length control field |
03350nam a22003257a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
221018s20222022 xxu||||| |||| 00| 0 eng d |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
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| International Standard Serial Number |
0010-9452 |
| 024 ## - OTHER STANDARD IDENTIFIER |
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| Standard number or code |
10.1016/j.cortex.2022.05.023 [doi] |
| 024 ## - OTHER STANDARD IDENTIFIER |
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| Standard number or code |
S0010-9452(22)00196-4 [pii] |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
Ovid MEDLINE(R) |
| 099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) |
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| PMID |
35964357 |
| 245 ## - TITLE STATEMENT |
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| Title |
Preserved anatomical bypasses predict variance in language functions after stroke. |
| 251 ## - Source |
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| Source |
Cortex. 155:46-61, 2022 Jul 16. |
| 252 ## - Abbreviated Source |
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| Abbreviated source |
Cortex. 155:46-61, 2022 Jul 16. |
| 253 ## - Journal Name |
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| Journal name |
Cortex; a journal devoted to the study of the nervous system and behavior |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Year |
2022 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Manufacturer |
FY2023 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Publication date |
2022 Jul 16 |
| 265 ## - SOURCE FOR ACQUISITION/SUBSCRIPTION ADDRESS [OBSOLETE] |
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| Publication status |
aheadofprint |
| 266 ## - Date added to catalog |
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| Date added to catalog |
2022-10-20 |
| 520 ## - SUMMARY, ETC. |
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| Abstract |
The severity of post-stroke aphasia is related to damage to white matter connections. However, neural signaling can route not only through direct connections, but also along multi-step network paths. When brain networks are damaged by stroke, paths can bypass around the damage to restore communication. The shortest network paths between regions could be the most efficient routes for mediating bypasses. We examined how shortest-path bypasses after left hemisphere strokes were related to language performance. Regions within and outside of the canonical language network could be important in aphasia recovery. Therefore, we innovated methods to measure the influence of bypasses in the whole brain. Distinguishing bypasses from all residual shortest paths is difficult without pre-stroke imaging. We identified bypasses by finding shortest paths in subjects with stroke that were longer than the most reliably observed connections in age-matched control networks. We tested whether features of those bypasses predicted scores in four orthogonal dimensions of language performance derived from a principal components analysis of a battery of language tasks. The features were the length of each bypass in steps, and how many bypasses overlapped on each individual direct connection. We related these bypass features to language factors using support vector regression, a technique that extracts robust relationships in high-dimensional data analysis. The support vector regression parameters were tuned using grid-search cross-validation. We discovered that the length of bypasses reliably predicted variance in lexical production (R2 = .576) and auditory comprehension scores (R2 = .164). Bypass overlaps reliably predicted variance in Lexical Production scores (R2 = .247). The predictive elongation features revealed that bypass efficiency along the dorsal stream and ventral stream were most related to Lexical Production and Auditory Comprehension, respectively. Among the predictive bypass overlaps, increased bypass routing through the right hemisphere putamen was negatively related to lexical production ability. Copyright © 2022 Elsevier Ltd. All rights reserved. |
| 546 ## - LANGUAGE NOTE |
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| Language note |
English |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
IN PROCESS -- NOT YET INDEXED |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
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| Institution |
MedStar National Rehabilitation Network |
| 657 ## - INDEX TERM--FUNCTION |
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| Medline publication type |
Journal Article |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Local Authors |
Turkeltaub, Peter E |
| Institution Code |
MNRN |
| 790 ## - Authors |
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| All authors |
Deck BL, DeMarco AT, Dickens JV, Erickson BA, Kelkar AS, Kim B, Medaglia JD, Pustina D, Turkeltaub PE |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
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| DOI |
<a href="https://dx.doi.org/10.1016/j.cortex.2022.05.023">https://dx.doi.org/10.1016/j.cortex.2022.05.023</a> |
| Public note |
https://dx.doi.org/10.1016/j.cortex.2022.05.023 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Koha item type |
Journal Article |
| Item type description |
Article |
