In 228 chronic left-hemisphere stroke patients, normative tract disconnection predicted aphasia little better than a straight-fibre null; conduction aphasia followed posterior STG, not arcuate, damage
Question: does white-matter disconnection, estimated by projecting a lesion onto a normative tractogram, predict aphasia beyond lesion size and location, and does the fibre route matter? Approach: we registered the 228 manual lesion masks of the open Aphasia Recovery Cohort (OpenNeuro ds004884 v1.0.2) to MNI152NLin2009cAsym with dipy (brain-masked affine, enantiomorphic filling, SyN) and projected them onto the HCP-842 tractogram (144,678 streamlines, 78 bundles). As a control, we built a null tractogram with the same streamline end points but straight fibres. Outcomes were WAB-R aphasia quotient (n = 228), non-fluent versus fluent type (102 versus 94) and conduction versus anomic type (26 versus 61). We used two-stage ridge models with 10-fold cross-validation (100 repeats) and subject-bootstrap intervals, and a priori logistic tests. Findings: log lesion volume gave R2 = 0.366 for severity; parcel lesion load added 0.001, bundle disconnection 0.086 (0.033 to 0.139) and parcel-pair disconnection 0.067 (0.011 to 0.120), but the straight-fibre null also added 0.054 and 0.037; true minus null was 0.032 (-0.004 to 0.068) and 0.030 (-0.005 to 0.064). For fluency, bundles added 0.060 AUC to volume and the null 0.042; frontal aslant tract disconnection predicted non-fluency beyond frontal speech cortex damage (odds ratio 2.63 per SD, p = 0.0003) and beat its own straight-fibre null, but the frontopontine tract did equally well. For conduction aphasia, cortical location gave AUC 0.744 and pair disconnection 0.672, below its null (-0.059, -0.110 to -0.011); arcuate fasciculus disconnection did not predict conduction aphasia (odds ratio 1.24, p = 0.59) under three measures, while posterior STG damage did (3.23, p = 0.0001). Excluding 11 weaker registrations did not change these results. Limitations: normative not patient-specific tractography; template registration error; arcuate any-hit saturates in large lesions; ARC gives only AQ and WAB type, not sub-scores; 26 conduction cases, and arcuate and posterior cortex damage overlap. The registered masks, features, code and figures are included.
stroke · aphasia · lesion-symptom mapping · structural disconnection · normative connectome · tractography · null model · arcuate fasciculus · conduction aphasia · frontal aslant tract · verbal fluency · Aphasia Recovery Cohort · HCP-842 · cross-validation · MNI registration · lesion masks
References
16- usesdoi:10.18112/openneuro.ds004884.v1.0.2
Aphasia Recovery Cohort lesion masks, T2 images and WAB scores (CC0).
- usesdoi:10.1038/s41597-024-03819-7
Data descriptor of the Aphasia Recovery Cohort.
- usesdoi:10.6084/m9.figshare.7375883.v2
RecoBundles 80-bundle atlas and whole-brain HCP-842 tractogram in MNI space (CC BY 4.0).
- usesdoi:10.1016/j.neuroimage.2018.05.027
HCP-842 population-averaged tractography atlas.
- doi:10.1016/j.neuroimage.2017.07.015
RecoBundles atlas publication.
- usesdoi:10.3389/fninf.2014.00008
dipy registration (affine and SyN).
- usesdoi:10.1016/j.neuroimage.2010.07.033
MNI152 2009 nonlinear template.
- usesdoi:10.1016/j.neuroimage.2007.10.002
Enantiomorphic lesion filling for normalization.
- challengesdoi:10.1093/brain/awaa156
Reported that indirect structural disconnection predicts post-stroke deficits; we find that a straight-fibre null keeps most of the disconnection gain for aphasia.
- supportsdoi:10.1016/j.nicl.2018.03.037
Found structural disconnection a weak addition to lesion location for language outcome; our fibre-route gains are small.
- doi:10.1016/j.nicl.2021.102639
Lesion Quantification Toolkit, a normative-tractogram disconnection method of the type tested here.
- challengesdoi:10.1093/brain/88.2.237
Disconnection account of conduction aphasia; arcuate disconnection did not predict conduction aphasia here.
- supportsdoi:10.1016/j.bandl.2010.12.001
Cortical (Spt, posterior temporal) account of conduction aphasia, which our posterior STG result agrees with.
- supportsdoi:10.1523/JNEUROSCI.1120-10.2010
Repetition deficits with posterior perisylvian damage; agrees with our PPC and STG results.
- supportsdoi:10.1093/brain/awt163
Frontal aslant tract and fluency; AST disconnection predicted non-fluent aphasia beyond frontal cortex damage.
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Earlier aphasia-type prediction from lesion and connectome data in a cohort from the same laboratory.
Cited by
1 publicationPublic catalog entries on Sciscape.
- usesIn 228 stroke patients, lesion network maps from a normative connectome predicted aphasia no better than a distance-only null connectome, and their mean map matched that of random lesions
We reuse its registered ARC lesion masks, cohort, covariates, cross-validation design and bundle disconnection features; this study is the functional-connectome analog of its straight-fibre null test.