RT Journal Article
SR Electronic
T1 Mapping Language Networks Using the Structural and Dynamic Brain Connectomes
JF eneuro
JO eNeuro
FD Society for Neuroscience
SP ENEURO.0204-17.2017
DO 10.1523/ENEURO.0204-17.2017
VO 4
IS 5
A1 Del Gaizo, John
A1 Fridriksson, Julius
A1 Yourganov, Grigori
A1 Hillis, Argye E.
A1 Hickok, Gregory
A1 Misic, Bratislav
A1 Rorden, Chris
A1 Bonilha, Leonardo
YR 2017
UL http://www.eneuro.org/content/4/5/ENEURO.0204-17.2017.abstract
AB Lesion-symptom mapping is often employed to define brain structures that are crucial for human behavior. Even though poststroke deficits result from gray matter damage as well as secondary white matter loss, the impact of structural disconnection is overlooked by conventional lesion-symptom mapping because it does not measure loss of connectivity beyond the stroke lesion. This study describes how traditional lesion mapping can be combined with structural connectome lesion symptom mapping (CLSM) and connectome dynamics lesion symptom mapping (CDLSM) to relate residual white matter networks to behavior. Using data from a large cohort of stroke survivors with aphasia, we observed improved prediction of aphasia severity when traditional lesion symptom mapping was combined with CLSM and CDLSM. Moreover, only CLSM and CDLSM disclosed the importance of temporal-parietal junction connections in aphasia severity. In summary, connectome measures can uniquely reveal brain networks that are necessary for function, improving the traditional lesion symptom mapping approach.