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Abstract
Intensive cognitive tasks induce inefficient regional and network responses in schizophrenia (SCZ). fMRI-based studies have naturally focused on gray matter, but appropriately titrated visuo-motor integration tasks reliably activate inter- and intra-hemispheric white matter pathways. Such tasks can assess network inefficiency without demanding intensive cognitive effort. Here, we provide the first application of this framework to the study of white matter functional responses in SCZ. Event-related fMRI data were acquired from 28 patients (nine females, mean age 43.3, ±11.7) and 28 age- and gender-comparable controls (nine females, mean age 42.1 ± 10.1), using the Poffenberger paradigm, a rapid visual detection task used to induce intra- (ipsi-lateral visual and motor cortex) or inter-hemispheric (contra-lateral visual and motor cortex) transfer. fMRI data were pre- and post-processed to reliably isolate activations in white matter, using probabilistic tractography-based white matter tracts. For intra- and inter-hemispheric transfer conditions, SCZ evinced hyper-activations in longitudinal and transverse white matter tracts, with hyper-activation in sub-regions of the corpus callosum primarily observed during inter-hemispheric transfer. Evidence for the functional inefficiency of white matter was observed in conjunction with small (~50 ms) but significant increases in response times. Functional inefficiencies in SCZ are (1) observable in white matter, with the degree of inefficiency contextually related to task-conditions, and (2) are evoked by simple detection tasks without intense cognitive processing. These cumulative results while expanding our understanding of this dys-connection syndrome, also extend the search of biomarkers beyond the traditional realm of fMRI studies of gray matter.
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1 Section of Psychiatry, University of Verona, Department of Neurosciences, Biomedicine and Movement Sciences, Verona, Italy (GRID:grid.5611.3) (ISNI:0000 0004 1763 1124)
2 Wayne State University, Department of Psychiatry & Behavioral Neurosciences, Detroit, USA (GRID:grid.254444.7) (ISNI:0000 0001 1456 7807)
3 Azienda Ospedaliera Universitaria Integrata di Verona, Neuroradiology Department, Verona, Italy (GRID:grid.411475.2) (ISNI:0000 0004 1756 948X)
4 University of Verona, Department of Neurosciences, Biomedicine and Movement Sciences, Section of Clinical Psychology, Verona, Italy (GRID:grid.5611.3) (ISNI:0000 0004 1763 1124)
5 Hospital Trust Verona, Pathology and Diagnostics, Section of Neuroradiology, Verona, Italy (GRID:grid.5611.3)
6 University of Verona, Physiology and Psychology Section, Department of Neuroscience, Biomedicine and Movement Sciences, Verona, Italy (GRID:grid.5611.3) (ISNI:0000 0004 1763 1124); National Institute of Neuroscience, Verona, Italy (GRID:grid.5611.3)
7 Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Department of Neurosciences and Mental Health, Milan, Italy (GRID:grid.414818.0) (ISNI:0000 0004 1757 8749); University of Milan, Department of Pathophysiology and Transplantation, Milan, Italy (GRID:grid.4708.b) (ISNI:0000 0004 1757 2822)