White Matter Integrity and Cognitive Impairment in First-Episode Psychosis

2010 ◽  
Vol 167 (4) ◽  
pp. 451-458 ◽  
Author(s):  
Roc��o Pérez-Iglesias ◽  
Diana Tordesillas-Gutiérrez ◽  
Philip K. McGuire ◽  
Gareth J. Barker ◽  
Roberto Roiz-Santiañez ◽  
...  
2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S289-S289
Author(s):  
Nina Kraguljac ◽  
Anthony Thomas ◽  
Charity Morgan ◽  
Ripu Jindal ◽  
Adrienne Lahti

Abstract Background It is becoming increasingly clear that longer duration of untreated psychosis (DUP) is associated with adverse clinical outcomes in patients with psychosis spectrum disorders. Especially because this association is often cited when justifying early intervention efforts, it is imperative to better understand underlying biological mechanisms. Methods We recruited 74 antipsychotic-naïve first episode psychosis (FEP) patients and 45 matched healthy controls in this trial. At baseline, we used a human connectome style diffusion weighted imaging (DWI) sequence to quantify white matter integrity in both groups. Patients then received 16 weeks of treatment with risperidone. DWI scans were acquired with opposite phase encoding directions [TR/TE: 3230ms/ 89.20ms; multiband acceleration factor 4, Flip angle: 84°; slice thickness 1.5mm, 92 slices, voxel size 1.5mm3, 92 diffusion weighted images distributed equally over 2 shells with b-values of ̴ 1500s/mm2 and ̴ 3000s/mm2, as well as 7 interspersed b= ̴ 0s/mm2 images]). Preprocessing of DWI images was performed in TORTOISE (version 3.1.2). This included correction for thermal noise, Gibbs-ringing, high b-value based bulk motion and eddy-current distortions using a MAP-MRI model, resampling of images to 1mm3, and rotation of gradient tables independently for each DWI phase encoding direction. Then, DR-BUDDI was used to correct EPI distortions with input from the anatomical image and to combine the two datasets using geometric averaging to generate the final corrected dataset. Tensors were computed with DIFF_CALC using a linear fitting algorithm. To spatially normalize images to the Illinois Institute of Technology atlas (IIT4) space, we implemented an optimized non-linear image registration procedure using a modified version of 3dQwarp in AFNI. We compared whole brain fractional anisotropy (FA), mean diffusivity, axial diffusivity (AD) and radial diffusivity between groups. To test if structural white matter integrity mediates the relationship between longer DUP and poorer treatment response, we fit a mediator model and estimated indirect effects. Results Groups did not differ in age (FEP: 23.83+/-6.21 years; HC: 24.78+/-6.24 years), sex (FEP: 65.2% male; HC: 64.4% male), or parental socioeconomic status (FEP: 5.95+/-4.83; HC: 4.22+/-4.06). We found decreased whole brain FA and AD in medication-naive FEP compared to controls. In patients, lower FA was correlated with longer DUP (r= -0.32; p= 0.03) and poorer subsequent response to antipsychotic treatment (r= 0.40; p= 0.01). Importantly, we found a significant mediation effect for FA (indirect effect: -2.70; p= 0.03), indicating that DUP exerts its effects on treatment response through affecting white matter integrity. Discussion To our knowledge, this is the first study to examine a putative role of white matter integrity in the observed association between DUP and clinical outcomes in first episode psychosis. Our data provide empirical support to the idea the DUP may have fundamental pathogenic effects on the natural history of psychosis, suggest a biological mechanism underlying this phenomenon, and underscore the importance of early intervention efforts in this disabling neuropsychiatric syndrome.


Brain ◽  
2013 ◽  
Vol 137 (1) ◽  
pp. 172-182 ◽  
Author(s):  
Tiago Reis Marques ◽  
Heather Taylor ◽  
Chris Chaddock ◽  
Flavio Dell’Acqua ◽  
Rowena Handley ◽  
...  

2015 ◽  
Vol 162 (1-3) ◽  
pp. 14-21 ◽  
Author(s):  
Patricia Alvarado-Alanis ◽  
Pablo León-Ortiz ◽  
Francisco Reyes-Madrigal ◽  
Rafael Favila ◽  
Oscar Rodríguez-Mayoral ◽  
...  

Author(s):  
Dean F Salisbury ◽  
Yiming Wang ◽  
Fang-Cheng Yeh ◽  
Brian A Coffman

Abstract Background Functional connectivity abnormalities between Broca’s and Wernicke’s areas and the putamen revealed by functional magnetic resonance imaging (fMRI) are related to auditory hallucinations (AH). In long-term schizophrenia, reduced white matter structural integrity revealed by diffusion imaging in left arcuate fasciculus (connecting Broca’s and Wernicke’s areas) is likely related to AH. The structural integrity of connections with putamen and their relation to AH are unknown. Little is known about this relationship in first-episode psychosis (FEP), although auditory transcallosal connections were reported to play a role. White matter in the Broca’s-Wernicke’s-putamen language-related circuit and auditory transcallosal fibers was examined to investigate associations with AH in FEP. Methods White matter connectivity was measured in 40 FEP and 32 matched HC using generalized fractional anisotropy (gFA) derived from diffusion spectrum imaging (DSI). Results FEP and HC did not differ in gFA in any fiber bundle. In FEP, AH severity was significantly inversely related to gFA in auditory transcallosal fibers and left arcuate fasciculus. Although the right hemisphere arcuate fasciculus-AH association did not attain significance, the left and right arcuate fasciculus associations were not significantly different. Conclusions Despite overall normal gFA in FEP, AH severity was significantly related to gFA in transcallosal auditory fibers and the left hemisphere connection between Broca’s and Wernicke’s areas. Other bilateral tracts’ gFA were weakly associated with AH. At the first psychotic episode, AH are more robustly associated with left hemisphere arcuate fasciculus and interhemispheric auditory fibers microstructural deficits, likely reflecting mistiming of information flow between language-related cortical centers.


NeuroImage ◽  
2008 ◽  
Vol 39 (3) ◽  
pp. 949-955 ◽  
Author(s):  
Gary Price ◽  
Mara Cercignani ◽  
Geoffrey J.M. Parker ◽  
Daniel R. Altmann ◽  
Thomas R.E. Barnes ◽  
...  

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