Trail Making Test Elucidates Neural Substrates of Specific Poststroke Executive Dysfunctions
Author(s) -
Ryan T. Muir,
Benjamin Lam,
Kie Honjo,
Robin D. Harry,
Alicia A. McNeely,
FuQiang Gao,
Joel Ramirez,
Christopher J.M. Scott,
Anoop Ganda,
Jiali Zhao,
Xiaohong Joe Zhou,
Simon J. Graham,
Novena Rangwala,
Erin Gibson,
Nancy J. Lobaugh,
Alex Kiss,
Donald T. Stuss,
David L. Nyenhuis,
ByungChul Lee,
Yeonwook Kang,
Sandra E. Black
Publication year - 2015
Publication title -
stroke
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.397
H-Index - 319
eISSN - 1524-4628
pISSN - 0039-2499
DOI - 10.1161/strokeaha.115.009936
Subject(s) - hyperintensity , medicine , cholinergic , stroke (engine) , superior longitudinal fasciculus , trail making test , executive dysfunction , cohort , neuroscience , cognition , cardiology , magnetic resonance imaging , white matter , physical medicine and rehabilitation , audiology , psychology , psychiatry , radiology , cognitive impairment , mechanical engineering , fractional anisotropy , engineering , neuropsychology
Background and Purpose— Poststroke cognitive impairment is typified by prominent deficits in processing speed and executive function. However, the underlying neuroanatomical substrates of executive deficits are not well understood, and further elucidation is needed. There may be utility in fractionating executive functions to delineate neural substrates. Methods— One test amenable to fine delineation is the Trail Making Test (TMT), which emphasizes processing speed (TMT-A) and set shifting (TMT-B-A difference, proportion, quotient scores, and TMT-B set-shifting errors). The TMT was administered to 2 overt ischemic stroke cohorts from a multinational study: (1) a chronic stroke cohort (N=61) and (2) an acute–subacute stroke cohort (N=45). Volumetric quantification of ischemic stroke and white matter hyperintensities was done on magnetic resonance imaging, along with ratings of involvement of cholinergic projections, using the previously published cholinergic hyperintensities projections scale. Damage to the superior longitudinal fasciculus, which colocalizes with some cholinergic projections, was also documented. Results— Multiple linear regression analyses were completed. Although larger infarcts (β =0.37,P <0.0001) were associated with slower processing speed, cholinergic hyperintensities projections scale severity (β =0.39,P <0.0001) was associated with all metrics of set shifting. Left superior longitudinal fasciculus damage, however, was only associated with the difference score (β =0.17,P =0.03). These findings were replicated in both cohorts. Patients with ≥2 TMT-B set-shifting errors also had greater cholinergic hyperintensities projections scale severity.Conclusions— In this multinational stroke cohort study, damage to lateral cholinergic pathways and the superior longitudinal fasciculus emerged as significant neuroanatomical correlates for executive deficits in set shifting.
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