Hostname: page-component-cd9895bd7-gxg78 Total loading time: 0 Render date: 2024-12-19T12:37:01.040Z Has data issue: false hasContentIssue false

Processing speed impairment in schizophrenia is mediated by white matter integrity

Published online by Cambridge University Press:  15 May 2014

H. Karbasforoushan
Affiliation:
Psychotic Disorders and Psychiatric Neuroimaging Programs, Department of Psychiatry, Vanderbilt University School of Medicine, Nashville, TN, USA
B. Duffy
Affiliation:
Psychotic Disorders and Psychiatric Neuroimaging Programs, Department of Psychiatry, Vanderbilt University School of Medicine, Nashville, TN, USA
J. U. Blackford
Affiliation:
Psychotic Disorders and Psychiatric Neuroimaging Programs, Department of Psychiatry, Vanderbilt University School of Medicine, Nashville, TN, USA
N. D. Woodward*
Affiliation:
Psychotic Disorders and Psychiatric Neuroimaging Programs, Department of Psychiatry, Vanderbilt University School of Medicine, Nashville, TN, USA
*
*Address for correspondence: N. D. Woodward, Ph.D., Psychiatric Neuroimaging and Psychotic Disorders Programs, Vanderbilt Psychiatric Hospital, Suite 3057, 1601 23rd Avenue South, Nashville, TN 37212, USA. (Email: [email protected])

Abstract

Background

Processing speed predicts functional outcome and is a potential endophenotype for schizophrenia. Establishing the neural basis of processing speed impairment may inform the treatment and etiology of schizophrenia. Neuroimaging investigations in healthy subjects have linked processing speed to brain anatomical connectivity. However, the relationship between processing speed impairment and white matter (WM) integrity in schizophrenia is unclear.

Method

Individuals with schizophrenia and healthy subjects underwent diffusion tensor imaging (DTI) and completed a brief neuropsychological assessment that included measures of processing speed, verbal learning, working memory and executive functioning. Group differences in WM integrity, inferred from fractional anisotropy (FA), were examined throughout the brain and the hypothesis that processing speed impairment in schizophrenia is mediated by diminished WM integrity was tested.

Results

WM integrity of the corpus callosum, cingulum, superior and inferior frontal gyri, and precuneus was reduced in schizophrenia. Average FA in these regions mediated group differences in processing speed but not in other cognitive domains. Diminished WM integrity in schizophrenia was accounted for, in large part, by individual differences in processing speed.

Conclusions

Cognitive impairment in schizophrenia was mediated by reduced WM integrity. This relationship was strongest for processing speed because deficits in working memory, verbal learning and executive functioning were not mediated by WM integrity. Larger sample sizes may be required to detect more subtle mediation effects in these domains. Interventions that preserve WM integrity or ameliorate WM disruption may enhance processing speed and functional outcome in schizophrenia.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2014 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Andersen, R, Fagerlund, B, Rasmussen, H, Ebdrup, BH, Aggernaes, B, Gade, A, Oranje, B, Glenthoj, B (2013). The influence of impaired processing speed on cognition in first-episode antipsychotic-naive schizophrenic patients. European Psychiatry 28, 332339.Google Scholar
Behrens, TEJ, Woolrich, MW, Jenkinson, M, Johansen-Berg, H, Nunes, RG, Clare, S, Matthews, PM, Brady, JM, Smith, SM (2003). Characterization and propagation of uncertainty in diffusion-weighted MR imaging. Magnetic Resonance in Medicine 50, 10771088.Google Scholar
Bendlin, BB, Fitzgerald, ME, Ries, ML, Xu, G, Kastman, EK, Thiel, BW, Rowley, HA, Lazar, M, Alexander, AL, Johnson, SC (2010). White matter in aging and cognition: a cross-sectional study of microstructure in adults aged eighteen to eighty-three. Developmental Neuropsychology 35, 257277.Google Scholar
Braskie, MN, Jahanshad, N, Stein, JL, Barysheva, M, Johnson, K, McMahon, KL, de Zubicaray, GI, Martin, NG, Wright, MJ, Ringman, JM, Toga, AW, Thompson, PM (2012). Relationship of a variant in the NTRK1 gene to white matter microstructure in young adults. Journal of Neuroscience 32, 59645972.Google Scholar
Braskie, MN, Kohannim, O, Jahanshad, N, Chiang, MC, Barysheva, M, Toga, AW, Ringman, JM, Montgomery, GW, McMahon, KL, de Zubicaray, GI, Martin, NG, Wright, MJ, Thompson, PM (2013). Relation between variants in the neurotrophin receptor gene, NTRK3, and white matter integrity in healthy young adults. NeuroImage 82C, 146153.Google Scholar
Carletti, F, Woolley, JB, Bhattacharyya, S, Perez-Iglesias, R, Fusar, PP, Valmaggia, L, Broome, MR, Bramon, E, Johns, L, Giampietro, V, Williams, SC, Barker, GJ, McGuire, PK (2012). Alterations in white matter evident before the onset of psychosis. Schizophrenia Bulletin 38, 11701179.Google Scholar
Clemm von Hohenberg, C, Wigand, MC, Kubicki, M, Leicht, G, Giegling, I, Karch, S, Hartmann, AM, Konte, B, Friedl, M, Ballinger, T, Eckbo, R, Bouix, S, Jager, L, Shenton, ME, Rujescu, D, Mulert, C (2013). CNTNAP2 polymorphisms and structural brain connectivity: a diffusion-tensor imaging study. Journal of Psychiatric Research 47, 13491356.Google Scholar
Cuesta, MJ, Pino, O, Guilera, G, Rojo, JE, Gomez-Benito, J, Purdon, SE, Franco, M, Martinez-Aran, A, Segarra, N, Tabares-Seisdedos, R, Vieta, E, Bernardo, M, Crespo-Facorro, B, Mesa, F, Rejas, J (2011). Brief cognitive assessment instruments in schizophrenia and bipolar patients, and healthy control subjects: a comparison study between the Brief Cognitive Assessment Tool for Schizophrenia (B-CATS) and the Screen for Cognitive Impairment in Psychiatry (SCIP). Schizophrenia Research 130, 137142.Google Scholar
Cuthbert, BN, Insel, TR (2013). Toward the future of psychiatric diagnosis: the seven pillars of RDoC. BMC Medicine 11, 126.Google Scholar
Dickinson, D, Ragland, JD, Gold, JM, Gur, RC (2008). General and specific cognitive deficits in schizophrenia: Goliath defeats David? Biological Psychiatry 64, 823827.Google Scholar
Dickinson, D, Ramsey, ME, Gold, JM (2007). Overlooking the obvious: a meta-analytic comparison of digit symbol coding tasks and other cognitive measures in schizophrenia. Archives of General Psychiatry 64, 532542.Google Scholar
Doherty, JL, O'Donovan, MC, Owen, MJ (2012). Recent genomic advances in schizophrenia. Clinical Genetics 81, 103109.Google Scholar
First, MB, Spitzer, RL, Gibbon, M, Williams, JBW (1996). Structured Clinical Interview for DSM-IV Axis I Disorders, Clinical Version (SCID-CV). American Psychiatric Press Inc.: Washington, DC.Google Scholar
Fitzsimmons, J, Kubicki, M, Shenton, ME (2013). Review of functional and anatomical brain connectivity findings in schizophrenia. Current Opinions in Psychiatry 26, 172187.Google Scholar
Friedman, JI, Tang, C, Carpenter, D, Buchsbaum, M, Schmeidler, J, Flanagan, L, Golembo, S, Kanellopoulou, I, Ng, J, Hof, PR, Harvey, PD, Tsopelas, ND, Stewart, D, Davis, KL (2008). Diffusion tensor imaging findings in first-episode and chronic schizophrenia patients. American Journal of Psychiatry 165, 10241032.Google Scholar
Fritz, MS, MacKinnon, DP (2007). Required sample size to detect the mediated effect. Psychological Science 18, 233239.Google Scholar
Fusar-Poli, P, Deste, G, Smieskova, R, Barlati, S, Yung, AR, Howes, O, Stieglitz, RD, Vita, A, McGuire, P, Borgwardt, S (2012). Cognitive functioning in prodromal psychosis: a meta-analysis. Archives of General Psychiatry 69, 562571.Google Scholar
Gardner, DM, Murphy, AL, O'Donnell, H, Centorrino, F, Baldessarini, RJ (2010). International consensus study of antipsychotic dosing. American Journal of Psychiatry 167, 686693.Google Scholar
Hayes, AF (2009). Beyond Baron and Kenny: statistical mediation analysis in the new millennium. Communication Mongraphs 76, 408420.Google Scholar
Heinrichs, RW, Zakzanis, KK (1998). Neurocognitive deficit in schizophrenia: a quantitative review of the evidence. Neuropsychology 12, 426445.Google Scholar
Jahanshad, N, Kochunov, PV, Sprooten, E, Mandl, RC, Nichols, TE, Almasy, L, Blangero, J, Brouwer, RM, Curran, JE, de Zubicaray, GI, Duggirala, R, Fox, PT, Hong, LE, Landman, BA, Martin, NG, McMahon, KL, Medland, SE, Mitchell, BD, Olvera, RL, Peterson, CP, Starr, JM, Sussmann, JE, Toga, AW, Wardlaw, JM, Wright, MJ, Hulshoff Pol, HE, Bastin, ME, McIntosh, AM, Deary, IJ, Thompson, PM, Glahn, DC (2013). Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: a pilot project of the ENIGMA-DTI working group. NeuroImage 81C, 455469.Google Scholar
Karlsgodt, KH, Niendam, TA, Bearden, CE, Cannon, TD (2009). White matter integrity and prediction of social and role functioning in subjects at ultra-high risk for psychosis. Biological Psychiatry 66, 562569.Google Scholar
Karlsgodt, KH, van Erp, TGM, Poldrack, RA, Bearden, CE, Nuechterlein, KH, Cannon, TD (2008). Diffusion tensor imaging of the superior longitudinal fasciculus and working memory in recent-onset schizophrenia. Biological Psychiatry 63, 512518.Google Scholar
Kerchner, GA, Racine, CA, Hale, S, Wilheim, R, Laluz, V, Miller, BL, Kramer, JH (2012). Cognitive processing speed in older adults: relationship with white matter integrity. PLoS One 7, e50425.Google Scholar
Knochel, C, Oertel-Knochel, V, Schonmeyer, R, Rotarska-Jagiela, A, van de Ven, V, Prvulovic, D, Haenschel, C, Uhlhaas, P, Pantel, J, Hampel, H, Linden, DE (2012). Interhemispheric hypoconnectivity in schizophrenia: fiber integrity and volume differences of the corpus callosum in patients and unaffected relatives. NeuroImage 59, 926934.Google Scholar
Koch, K, Wagner, G, Schachtzabel, C, Schultz, CC, Gullmar, D, Reichenbach, JR, Sauer, H, Schlosser, RG (2013). Age-dependent visuomotor performance and white matter structure: a DTI study. Brain Structure and Function 218, 10751084.Google Scholar
Lett, TA, Chakavarty, MM, Felsky, D, Brandl, EJ, Tiwari, AK, Goncalves, VF, Rajji, TK, Daskalakis, ZJ, Meltzer, HY, Lieberman, JA, Lerch, JP, Mulsant, BH, Kennedy, JL, Voineskos, AN (2013). The genome-wide supported microRNA-137 variant predicts phenotypic heterogeneity within schizophrenia. Molecular Psychiatry 18, 443450.Google Scholar
Levitt, JJ, Alvarado, JL, Nestor, PG, Rosow, L, Pelavin, PE, McCarley, RW, Kubicki, M, Shenton, ME (2012). Fractional anisotropy and radial diffusivity: diffusion measures of white matter abnormalities in the anterior limb of the internal capsule in schizophrenia. Schizophrenia Research 136, 5562.Google Scholar
MacKinnon, DP, Lockwood, CM, Hoffman, JM, West, SG, Sheets, V (2002). A comparison of methods to test mediation and other intervening variable effects. Psychological Methods 7, 83104.Google Scholar
Marenco, S, Stein, JL, Savostyanova, AA, Sambataro, F, Tan, HY, Goldman, AL, Verchinski, BA, Barnett, AS, Dickinson, D, Apud, JA, Callicott, JH, Meyer-Lindenberg, A, Weinberger, DR (2012). Investigation of anatomical thalamo-cortical connectivity and FMRI activation in schizophrenia. Neuropsychopharmacology 37, 499507.Google Scholar
Melonakos, ED, Shenton, ME, Rathi, Y, Terry, DP, Bouix, S, Kubicki, M (2011). Voxel-based morphometry (VBM) studies in schizophrenia – can white matter changes be reliably detected with VBM? Psychiatry Research 193, 6570.Google Scholar
Nenadic, I, Wagner, G, Gullmar, D, Schachtzabel, C, von Consbruch, K, Kohler, S, Koch, K, Roebel, M, Schultz, CC, Reichenbach, JR, Sauer, H, Schlosser, RG (2011). ADC changes in schizophrenia: a diffusion-weighted imaging study. European Archives of Psychiatry and Clinical Neuroscience 261, 213216.Google Scholar
Nestor, PG, Kubicki, M, Gurrera, RJ, Niznikiewicz, M, Frumin, M, McCarley, RW, Shenton, ME (2004). Neuropsychological correlates of diffusion tensor imaging in schizophrenia. Neuropsychology 18, 629637.Google Scholar
Nestor, PG, Kubicki, M, Nakamura, M, Niznikiewicz, M, McCarley, RW, Shenton, ME (2010). Comparing prefrontal gray and white matter contributions to intelligence and decision making in schizophrenia and healthy controls. Neuropsychology 24, 121129.Google Scholar
Nuechterlein, KH, Subotnik, KL, Green, MF, Ventura, J, Asarnow, RF, Gitlin, MJ, Yee, CM, Gretchen-Doorly, D, Mintz, J (2011). Neurocognitive predictors of work outcome in recent-onset schizophrenia. Schizophrenia Bulletin 37 (Suppl. 2), S33S40.Google Scholar
Penades, R, Pujol, N, Catalan, R, Massana, G, Rametti, G, Garcia-Rizo, C, Bargallo, N, Gasto, C, Bernardo, M, Junque, C (2013). Brain effects of cognitive remediation therapy in schizophrenia: a structural and functional neuroimaging study. Biological Psychiatry 73, 10151023.Google Scholar
Penke, L, Maniega, SM, Bastin, ME, Valdes Hernandez, MC, Murray, C, Royle, NA, Starr, JM, Wardlaw, JM, Deary, IJ (2012). Brain white matter tract integrity as a neural foundation for general intelligence. Molecular Psychiatry 17, 10261030.Google Scholar
Penke, L, Munoz, MS, Murray, C, Gow, AJ, Hernandez, MC, Clayden, JD, Starr, JM, Wardlaw, JM, Bastin, ME, Deary, IJ (2010). A general factor of brain white matter integrity predicts information processing speed in healthy older people. Journal of Neuroscience 30, 75697574.Google Scholar
Perez-Iglesias, R, Tordesillas-Gutierrez, D, McGuire, PK, Barker, GJ, Roiz-Santianez, R, Mata, I, de Lucas, EM, Rodriguez-Sanchez, JM, Ayesa-Arriola, R, Vazquez-Barquero, JL, Crespo-Facorro, B (2010). White matter integrity and cognitive impairment in first-episode psychosis. American Journal of Psychiatry 167, 451458.Google Scholar
Preacher, KJ, Hayes, AF (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments, and Computers 36, 717731.Google Scholar
Purdon, SE (2005). The Screen for Cognitive Impairment in Psychiatry (SCIP): Administration Manual and Normative Data. PNL Inc.: Edmonton, Alberta.Google Scholar
Qiu, A, Zhong, J, Graham, S, Chia, MY, Sim, K (2009). Combined analyses of thalamic volume, shape and white matter integrity in first-episode schizophrenia. NeuroImage 47, 11631171.Google Scholar
Rodriguez-Sanchez, JM, Crespo-Facorro, B, Gonzalez-Blanch, C, Perez-Iglesias, R, Vazquez-Barquero, JL (2007). Cognitive dysfunction in first-episode psychosis: the processing speed hypothesis. British Journal of Psychiatry. Supplement 51, s107s110.Google Scholar
Salami, A, Eriksson, J, Nilsson, LG, Nyberg, L (2012). Age-related white matter microstructural differences partly mediate age-related decline in processing speed but not cognition. Biochimica et Biophysica Acta 1822, 408415.Google Scholar
Sanchez, P, Ojeda, N, Pena, J, Elizagarate, E, Yoller, AB, Gutierrez, M, Ezcurra, J (2009). Predictors of longitudinal changes in schizophrenia: the role of processing speed. Journal of Clinical Psychiatry 70, 888896.Google Scholar
Sasson, E, Doniger, GM, Pasternak, O, Tarrasch, R, Assaf, Y (2013). White matter correlates of cognitive domains in normal aging with diffusion tensor imaging. Frontiers in Neuroscience 7, 32.Google Scholar
Smith, SM (2002). Fast robust automated brain extraction. Human Brain Mapping 17, 143155.Google Scholar
Smith, SM, Jenkinson, M, Johansen-Berg, H, Rueckert, D, Nichols, TE, Mackay, CE, Watkins, KE, Ciccarelli, O, Cader, MZ, Matthews, PM, Behrens, TE (2006). Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. NeuroImage 31, 14871505.Google Scholar
Smith, SM, Jenkinson, M, Woolrich, MW, Beckmann, CF, Behrens, TE, Johansen-Berg, H, Bannister, PR, De Luca, M, Drobnjak, I, Flitney, DE, Niazy, RK, Saunders, J, Vickers, J, Zhang, Y, De Stefano, N, Brady, JM, Matthews, PM (2004). Advances in functional and structural MR image analysis and implementation as FSL. NeuroImage 23 (Suppl. 1), S208S219.Google Scholar
Smith, SM, Nichols, TE (2009). Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference. NeuroImage 44, 8398.Google Scholar
Sprooten, E, McIntosh, AM, Lawrie, SM, Hall, J, Sussmann, JE, Dahmen, N, Konrad, A, Bastin, ME, Winterer, G (2012). An investigation of a genomewide supported psychosis variant in ZNF804A and white matter integrity in the human brain. Magnetic Resonance Imaging 30, 13731380.Google Scholar
Szeszko, PR, Robinson, DG, Ashtari, M, Vogel, J, Betensky, J, Sevy, S, Ardekani, BA, Lencz, T, Malhotra, AK, McCormack, J, Miller, R, Lim, KO, Gunduz-Bruce, H, Kane, JM, Bilder, RM (2007). Clinical and neuropsychological correlates of white matter abnormalities in recent onset schizophrenia. Neuropsychopharmacology 33, 976984.Google Scholar
Takei, K, Yamasue, H, Abe, O, Yamada, H, Inoue, H, Suga, M, Muroi, M, Sasaki, H, Aoki, S, Kasai, K (2009). Structural disruption of the dorsal cingulum bundle is associated with impaired Stroop performance in patients with schizophrenia. Schizophrenia Research 114, 119127.Google Scholar
Toulopoulou, T, Picchioni, M, Rijsdijk, F, Hua-Hall, M, Ettinger, U, Sham, P, Murray, R (2007). Substantial genetic overlap between neurocognition and schizophrenia: genetic modeling in twin samples. Archives of General Psychiatry 64, 13481355.Google Scholar
Tuch, DS, Salat, DH, Wisco, JJ, Zaleta, AK, Hevelone, ND, Rosas, HD (2005). Choice reaction time performance correlates with diffusion anisotropy in white matter pathways supporting visuospatial attention. Proceedings of the National Academy of Sciences USA 102, 1221212217.Google Scholar
Turken, A, Whitfield-Gabrieli, S, Bammer, R, Baldo, JV, Dronkers, NF, Gabrieli, JD (2008). Cognitive processing speed and the structure of white matter pathways: convergent evidence from normal variation and lesion studies. NeuroImage 42, 10321044.Google Scholar
Voineskos, AN, Felsky, D, Kovacevic, N, Tiwari, AK, Zai, C, Chakravarty, MM, Lobaugh, NJ, Shenton, ME, Rajji, TK, Miranda, D, Pollock, BG, Mulsant, BH, McIntosh, AR, Kennedy, JL (2013). Oligodendrocyte genes, white matter tract integrity, and cognition in schizophrenia. Cerebral Cortex 23, 20442057.Google Scholar
Vul, E, Pashler, H (2012). Voodoo and circularity errors. NeuroImage 62, 945948.Google Scholar
Walterfang, M, Velakoulis, D, Whitford, TJ, Pantelis, C (2011). Understanding aberrant white matter development in schizophrenia: an avenue for therapy? Expert Review of Neurotherapeutics 11, 971987.Google Scholar
Wechsler, D (1997). Wechsler Adult Intelligence Scale-III (WAIS-III). Psychological Corporation: San Antonio, TX.Google Scholar
Wechsler, D (2001). Wechsler Test of Adult Reading (WTAR). Pearson Education: London.Google Scholar
Wei, Q, Kang, Z, Diao, F, Guidon, A, Wu, X, Zheng, L, Li, L, Guo, X, Hu, M, Zhang, J, Liu, C, Zhao, J (2013). No association of ZNF804A rs1344706 with white matter integrity in schizophrenia: a tract-based spatial statistics study. Neuroscience Letters 532, 6469.Google Scholar
Wykes, T, Huddy, V, Cellard, C, McGurk, SR, Czobor, P (2011). A meta-analysis of cognitive remediation for schizophrenia: methodology and effect sizes. American Journal of Psychiatry 168, 472485.Google Scholar
Yao, L, Lui, S, Liao, Y, Du, MY, Hu, N, Thomas, JA, Gong, QY (2013). White matter deficits in first episode schizophrenia: an activation likelihood estimation meta-analysis. Progress in Neuropsychopharmacology and Biological Psychiatry 45, 100106.Google Scholar
Supplementary material: File

Karbasforoushan Supplementary Material

Table S1

Download Karbasforoushan Supplementary Material(File)
File 27.6 KB