Distribution of tract deficits in schizophrenia

Background Gray and white matter brain changes have been found in schizophrenia but the anatomical organizing process underlying these changes remains unknown. We aimed to identify gray and white matter volumetric changes in a group of patients with schizophrenia and to quantify the distribution of...
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Autor*in:	Ellison-Wright, Ian [verfasserIn] Nathan, Pradeep J Bullmore, Edward T Zaman, Rashid Dudas, Robert B Agius, Mark Fernandez-Egea, Emilio Müller, Ulrich Dodds, Chris M Forde, Natalie J Scanlon, Cathy Leemans, Alexander McDonald, Colm Cannon, Dara M

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2014

Schlagwörter:	Schizophrenia Diffusion tensor imaging Tract based spatial statistics Voxel based morphometry Gray matter White matter

Anmerkung:	© Ellison-Wright et al.; licensee BioMed Central Ltd. 2014

Übergeordnetes Werk:	Enthalten in: BMC psychiatry - London : BioMed Central, 2001, 14(2014), 1 vom: 02. Apr.
Übergeordnetes Werk:	volume:14 ; year:2014 ; number:1 ; day:02 ; month:04

Links:	Volltext

DOI / URN:	10.1186/1471-244X-14-99

Katalog-ID:	SPR02779492X

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520			\|a Background Gray and white matter brain changes have been found in schizophrenia but the anatomical organizing process underlying these changes remains unknown. We aimed to identify gray and white matter volumetric changes in a group of patients with schizophrenia and to quantify the distribution of white matter tract changes using a novel approach which applied three complementary analyses to diffusion imaging data. Methods 21 patients with schizophrenia and 21 matched control subjects underwent brain magnetic resonance imaging. Gray and white matter volume differences were investigated using Voxel-based Morphometry (VBM). White matter diffusion changes were located using Tract Based Spatial Statistics (TBSS) and quantified within a standard atlas. Tracts where significant regional differences were located were examined using fiber tractography. Results No significant differences in gray or white matter volumetry were found between the two groups. Using TBSS the schizophrenia group showed significantly lower fractional anisotropy (FA) compared to the controls in regions (false discovery rate <0.05) including the genu, body and splenium of the corpus callosum and the left anterior limb of the internal capsule (ALIC). Using fiber tractography, FA was significantly lower in schizophrenia in the corpus callosum genu (p = 0.003). Conclusions In schizophrenia, white matter diffusion deficits are prominent in medial frontal regions. These changes are consistent with the results of previous studies which have detected white matter changes in these areas. The pathology of schizophrenia may preferentially affect the prefrontal-thalamic white matter circuits traversing these regions.
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allfields	10.1186/1471-244X-14-99 doi (DE-627)SPR02779492X (SPR)1471-244X-14-99-e DE-627 ger DE-627 rakwb eng Ellison-Wright, Ian verfasserin aut Distribution of tract deficits in schizophrenia 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Ellison-Wright et al.; licensee BioMed Central Ltd. 2014 Background Gray and white matter brain changes have been found in schizophrenia but the anatomical organizing process underlying these changes remains unknown. We aimed to identify gray and white matter volumetric changes in a group of patients with schizophrenia and to quantify the distribution of white matter tract changes using a novel approach which applied three complementary analyses to diffusion imaging data. Methods 21 patients with schizophrenia and 21 matched control subjects underwent brain magnetic resonance imaging. Gray and white matter volume differences were investigated using Voxel-based Morphometry (VBM). White matter diffusion changes were located using Tract Based Spatial Statistics (TBSS) and quantified within a standard atlas. Tracts where significant regional differences were located were examined using fiber tractography. Results No significant differences in gray or white matter volumetry were found between the two groups. Using TBSS the schizophrenia group showed significantly lower fractional anisotropy (FA) compared to the controls in regions (false discovery rate <0.05) including the genu, body and splenium of the corpus callosum and the left anterior limb of the internal capsule (ALIC). Using fiber tractography, FA was significantly lower in schizophrenia in the corpus callosum genu (p = 0.003). Conclusions In schizophrenia, white matter diffusion deficits are prominent in medial frontal regions. These changes are consistent with the results of previous studies which have detected white matter changes in these areas. The pathology of schizophrenia may preferentially affect the prefrontal-thalamic white matter circuits traversing these regions. Schizophrenia (dpeaa)DE-He213 Diffusion tensor imaging (dpeaa)DE-He213 Tract based spatial statistics (dpeaa)DE-He213 Voxel based morphometry (dpeaa)DE-He213 Gray matter (dpeaa)DE-He213 White matter (dpeaa)DE-He213 Nathan, Pradeep J aut Bullmore, Edward T aut Zaman, Rashid aut Dudas, Robert B aut Agius, Mark aut Fernandez-Egea, Emilio aut Müller, Ulrich aut Dodds, Chris M aut Forde, Natalie J aut Scanlon, Cathy aut Leemans, Alexander aut McDonald, Colm aut Cannon, Dara M aut Enthalten in BMC psychiatry London : BioMed Central, 2001 14(2014), 1 vom: 02. Apr. (DE-627)331018799 (DE-600)2050438-X 1471-244X nnns volume:14 year:2014 number:1 day:02 month:04 https://dx.doi.org/10.1186/1471-244X-14-99 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2014 1 02 04
spelling	10.1186/1471-244X-14-99 doi (DE-627)SPR02779492X (SPR)1471-244X-14-99-e DE-627 ger DE-627 rakwb eng Ellison-Wright, Ian verfasserin aut Distribution of tract deficits in schizophrenia 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Ellison-Wright et al.; licensee BioMed Central Ltd. 2014 Background Gray and white matter brain changes have been found in schizophrenia but the anatomical organizing process underlying these changes remains unknown. We aimed to identify gray and white matter volumetric changes in a group of patients with schizophrenia and to quantify the distribution of white matter tract changes using a novel approach which applied three complementary analyses to diffusion imaging data. Methods 21 patients with schizophrenia and 21 matched control subjects underwent brain magnetic resonance imaging. Gray and white matter volume differences were investigated using Voxel-based Morphometry (VBM). White matter diffusion changes were located using Tract Based Spatial Statistics (TBSS) and quantified within a standard atlas. Tracts where significant regional differences were located were examined using fiber tractography. Results No significant differences in gray or white matter volumetry were found between the two groups. Using TBSS the schizophrenia group showed significantly lower fractional anisotropy (FA) compared to the controls in regions (false discovery rate <0.05) including the genu, body and splenium of the corpus callosum and the left anterior limb of the internal capsule (ALIC). Using fiber tractography, FA was significantly lower in schizophrenia in the corpus callosum genu (p = 0.003). Conclusions In schizophrenia, white matter diffusion deficits are prominent in medial frontal regions. These changes are consistent with the results of previous studies which have detected white matter changes in these areas. The pathology of schizophrenia may preferentially affect the prefrontal-thalamic white matter circuits traversing these regions. Schizophrenia (dpeaa)DE-He213 Diffusion tensor imaging (dpeaa)DE-He213 Tract based spatial statistics (dpeaa)DE-He213 Voxel based morphometry (dpeaa)DE-He213 Gray matter (dpeaa)DE-He213 White matter (dpeaa)DE-He213 Nathan, Pradeep J aut Bullmore, Edward T aut Zaman, Rashid aut Dudas, Robert B aut Agius, Mark aut Fernandez-Egea, Emilio aut Müller, Ulrich aut Dodds, Chris M aut Forde, Natalie J aut Scanlon, Cathy aut Leemans, Alexander aut McDonald, Colm aut Cannon, Dara M aut Enthalten in BMC psychiatry London : BioMed Central, 2001 14(2014), 1 vom: 02. Apr. (DE-627)331018799 (DE-600)2050438-X 1471-244X nnns volume:14 year:2014 number:1 day:02 month:04 https://dx.doi.org/10.1186/1471-244X-14-99 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2014 1 02 04
allfields_unstemmed	10.1186/1471-244X-14-99 doi (DE-627)SPR02779492X (SPR)1471-244X-14-99-e DE-627 ger DE-627 rakwb eng Ellison-Wright, Ian verfasserin aut Distribution of tract deficits in schizophrenia 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Ellison-Wright et al.; licensee BioMed Central Ltd. 2014 Background Gray and white matter brain changes have been found in schizophrenia but the anatomical organizing process underlying these changes remains unknown. We aimed to identify gray and white matter volumetric changes in a group of patients with schizophrenia and to quantify the distribution of white matter tract changes using a novel approach which applied three complementary analyses to diffusion imaging data. Methods 21 patients with schizophrenia and 21 matched control subjects underwent brain magnetic resonance imaging. Gray and white matter volume differences were investigated using Voxel-based Morphometry (VBM). White matter diffusion changes were located using Tract Based Spatial Statistics (TBSS) and quantified within a standard atlas. Tracts where significant regional differences were located were examined using fiber tractography. Results No significant differences in gray or white matter volumetry were found between the two groups. Using TBSS the schizophrenia group showed significantly lower fractional anisotropy (FA) compared to the controls in regions (false discovery rate <0.05) including the genu, body and splenium of the corpus callosum and the left anterior limb of the internal capsule (ALIC). Using fiber tractography, FA was significantly lower in schizophrenia in the corpus callosum genu (p = 0.003). Conclusions In schizophrenia, white matter diffusion deficits are prominent in medial frontal regions. These changes are consistent with the results of previous studies which have detected white matter changes in these areas. The pathology of schizophrenia may preferentially affect the prefrontal-thalamic white matter circuits traversing these regions. Schizophrenia (dpeaa)DE-He213 Diffusion tensor imaging (dpeaa)DE-He213 Tract based spatial statistics (dpeaa)DE-He213 Voxel based morphometry (dpeaa)DE-He213 Gray matter (dpeaa)DE-He213 White matter (dpeaa)DE-He213 Nathan, Pradeep J aut Bullmore, Edward T aut Zaman, Rashid aut Dudas, Robert B aut Agius, Mark aut Fernandez-Egea, Emilio aut Müller, Ulrich aut Dodds, Chris M aut Forde, Natalie J aut Scanlon, Cathy aut Leemans, Alexander aut McDonald, Colm aut Cannon, Dara M aut Enthalten in BMC psychiatry London : BioMed Central, 2001 14(2014), 1 vom: 02. Apr. (DE-627)331018799 (DE-600)2050438-X 1471-244X nnns volume:14 year:2014 number:1 day:02 month:04 https://dx.doi.org/10.1186/1471-244X-14-99 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2014 1 02 04
allfieldsGer	10.1186/1471-244X-14-99 doi (DE-627)SPR02779492X (SPR)1471-244X-14-99-e DE-627 ger DE-627 rakwb eng Ellison-Wright, Ian verfasserin aut Distribution of tract deficits in schizophrenia 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Ellison-Wright et al.; licensee BioMed Central Ltd. 2014 Background Gray and white matter brain changes have been found in schizophrenia but the anatomical organizing process underlying these changes remains unknown. We aimed to identify gray and white matter volumetric changes in a group of patients with schizophrenia and to quantify the distribution of white matter tract changes using a novel approach which applied three complementary analyses to diffusion imaging data. Methods 21 patients with schizophrenia and 21 matched control subjects underwent brain magnetic resonance imaging. Gray and white matter volume differences were investigated using Voxel-based Morphometry (VBM). White matter diffusion changes were located using Tract Based Spatial Statistics (TBSS) and quantified within a standard atlas. Tracts where significant regional differences were located were examined using fiber tractography. Results No significant differences in gray or white matter volumetry were found between the two groups. Using TBSS the schizophrenia group showed significantly lower fractional anisotropy (FA) compared to the controls in regions (false discovery rate <0.05) including the genu, body and splenium of the corpus callosum and the left anterior limb of the internal capsule (ALIC). Using fiber tractography, FA was significantly lower in schizophrenia in the corpus callosum genu (p = 0.003). Conclusions In schizophrenia, white matter diffusion deficits are prominent in medial frontal regions. These changes are consistent with the results of previous studies which have detected white matter changes in these areas. The pathology of schizophrenia may preferentially affect the prefrontal-thalamic white matter circuits traversing these regions. Schizophrenia (dpeaa)DE-He213 Diffusion tensor imaging (dpeaa)DE-He213 Tract based spatial statistics (dpeaa)DE-He213 Voxel based morphometry (dpeaa)DE-He213 Gray matter (dpeaa)DE-He213 White matter (dpeaa)DE-He213 Nathan, Pradeep J aut Bullmore, Edward T aut Zaman, Rashid aut Dudas, Robert B aut Agius, Mark aut Fernandez-Egea, Emilio aut Müller, Ulrich aut Dodds, Chris M aut Forde, Natalie J aut Scanlon, Cathy aut Leemans, Alexander aut McDonald, Colm aut Cannon, Dara M aut Enthalten in BMC psychiatry London : BioMed Central, 2001 14(2014), 1 vom: 02. Apr. (DE-627)331018799 (DE-600)2050438-X 1471-244X nnns volume:14 year:2014 number:1 day:02 month:04 https://dx.doi.org/10.1186/1471-244X-14-99 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2014 1 02 04
allfieldsSound	10.1186/1471-244X-14-99 doi (DE-627)SPR02779492X (SPR)1471-244X-14-99-e DE-627 ger DE-627 rakwb eng Ellison-Wright, Ian verfasserin aut Distribution of tract deficits in schizophrenia 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Ellison-Wright et al.; licensee BioMed Central Ltd. 2014 Background Gray and white matter brain changes have been found in schizophrenia but the anatomical organizing process underlying these changes remains unknown. We aimed to identify gray and white matter volumetric changes in a group of patients with schizophrenia and to quantify the distribution of white matter tract changes using a novel approach which applied three complementary analyses to diffusion imaging data. Methods 21 patients with schizophrenia and 21 matched control subjects underwent brain magnetic resonance imaging. Gray and white matter volume differences were investigated using Voxel-based Morphometry (VBM). White matter diffusion changes were located using Tract Based Spatial Statistics (TBSS) and quantified within a standard atlas. Tracts where significant regional differences were located were examined using fiber tractography. Results No significant differences in gray or white matter volumetry were found between the two groups. Using TBSS the schizophrenia group showed significantly lower fractional anisotropy (FA) compared to the controls in regions (false discovery rate <0.05) including the genu, body and splenium of the corpus callosum and the left anterior limb of the internal capsule (ALIC). Using fiber tractography, FA was significantly lower in schizophrenia in the corpus callosum genu (p = 0.003). Conclusions In schizophrenia, white matter diffusion deficits are prominent in medial frontal regions. These changes are consistent with the results of previous studies which have detected white matter changes in these areas. The pathology of schizophrenia may preferentially affect the prefrontal-thalamic white matter circuits traversing these regions. Schizophrenia (dpeaa)DE-He213 Diffusion tensor imaging (dpeaa)DE-He213 Tract based spatial statistics (dpeaa)DE-He213 Voxel based morphometry (dpeaa)DE-He213 Gray matter (dpeaa)DE-He213 White matter (dpeaa)DE-He213 Nathan, Pradeep J aut Bullmore, Edward T aut Zaman, Rashid aut Dudas, Robert B aut Agius, Mark aut Fernandez-Egea, Emilio aut Müller, Ulrich aut Dodds, Chris M aut Forde, Natalie J aut Scanlon, Cathy aut Leemans, Alexander aut McDonald, Colm aut Cannon, Dara M aut Enthalten in BMC psychiatry London : BioMed Central, 2001 14(2014), 1 vom: 02. Apr. (DE-627)331018799 (DE-600)2050438-X 1471-244X nnns volume:14 year:2014 number:1 day:02 month:04 https://dx.doi.org/10.1186/1471-244X-14-99 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2014 1 02 04
language	English
source	Enthalten in BMC psychiatry 14(2014), 1 vom: 02. Apr. volume:14 year:2014 number:1 day:02 month:04
sourceStr	Enthalten in BMC psychiatry 14(2014), 1 vom: 02. Apr. volume:14 year:2014 number:1 day:02 month:04
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Schizophrenia Diffusion tensor imaging Tract based spatial statistics Voxel based morphometry Gray matter White matter
isfreeaccess_bool	true
container_title	BMC psychiatry
authorswithroles_txt_mv	Ellison-Wright, Ian @@aut@@ Nathan, Pradeep J @@aut@@ Bullmore, Edward T @@aut@@ Zaman, Rashid @@aut@@ Dudas, Robert B @@aut@@ Agius, Mark @@aut@@ Fernandez-Egea, Emilio @@aut@@ Müller, Ulrich @@aut@@ Dodds, Chris M @@aut@@ Forde, Natalie J @@aut@@ Scanlon, Cathy @@aut@@ Leemans, Alexander @@aut@@ McDonald, Colm @@aut@@ Cannon, Dara M @@aut@@
publishDateDaySort_date	2014-04-02T00:00:00Z
hierarchy_top_id	331018799
id	SPR02779492X
language_de	englisch
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We aimed to identify gray and white matter volumetric changes in a group of patients with schizophrenia and to quantify the distribution of white matter tract changes using a novel approach which applied three complementary analyses to diffusion imaging data. Methods 21 patients with schizophrenia and 21 matched control subjects underwent brain magnetic resonance imaging. Gray and white matter volume differences were investigated using Voxel-based Morphometry (VBM). White matter diffusion changes were located using Tract Based Spatial Statistics (TBSS) and quantified within a standard atlas. Tracts where significant regional differences were located were examined using fiber tractography. Results No significant differences in gray or white matter volumetry were found between the two groups. Using TBSS the schizophrenia group showed significantly lower fractional anisotropy (FA) compared to the controls in regions (false discovery rate <0.05) including the genu, body and splenium of the corpus callosum and the left anterior limb of the internal capsule (ALIC). Using fiber tractography, FA was significantly lower in schizophrenia in the corpus callosum genu (p = 0.003). Conclusions In schizophrenia, white matter diffusion deficits are prominent in medial frontal regions. These changes are consistent with the results of previous studies which have detected white matter changes in these areas. 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author	Ellison-Wright, Ian
spellingShingle	Ellison-Wright, Ian misc Schizophrenia misc Diffusion tensor imaging misc Tract based spatial statistics misc Voxel based morphometry misc Gray matter misc White matter Distribution of tract deficits in schizophrenia
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topic_title	Distribution of tract deficits in schizophrenia Schizophrenia (dpeaa)DE-He213 Diffusion tensor imaging (dpeaa)DE-He213 Tract based spatial statistics (dpeaa)DE-He213 Voxel based morphometry (dpeaa)DE-He213 Gray matter (dpeaa)DE-He213 White matter (dpeaa)DE-He213
topic	misc Schizophrenia misc Diffusion tensor imaging misc Tract based spatial statistics misc Voxel based morphometry misc Gray matter misc White matter
topic_unstemmed	misc Schizophrenia misc Diffusion tensor imaging misc Tract based spatial statistics misc Voxel based morphometry misc Gray matter misc White matter
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title	Distribution of tract deficits in schizophrenia
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title_full	Distribution of tract deficits in schizophrenia
author_sort	Ellison-Wright, Ian
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author_browse	Ellison-Wright, Ian Nathan, Pradeep J Bullmore, Edward T Zaman, Rashid Dudas, Robert B Agius, Mark Fernandez-Egea, Emilio Müller, Ulrich Dodds, Chris M Forde, Natalie J Scanlon, Cathy Leemans, Alexander McDonald, Colm Cannon, Dara M
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doi_str_mv	10.1186/1471-244X-14-99
title_sort	distribution of tract deficits in schizophrenia
title_auth	Distribution of tract deficits in schizophrenia
abstract	Background Gray and white matter brain changes have been found in schizophrenia but the anatomical organizing process underlying these changes remains unknown. We aimed to identify gray and white matter volumetric changes in a group of patients with schizophrenia and to quantify the distribution of white matter tract changes using a novel approach which applied three complementary analyses to diffusion imaging data. Methods 21 patients with schizophrenia and 21 matched control subjects underwent brain magnetic resonance imaging. Gray and white matter volume differences were investigated using Voxel-based Morphometry (VBM). White matter diffusion changes were located using Tract Based Spatial Statistics (TBSS) and quantified within a standard atlas. Tracts where significant regional differences were located were examined using fiber tractography. Results No significant differences in gray or white matter volumetry were found between the two groups. Using TBSS the schizophrenia group showed significantly lower fractional anisotropy (FA) compared to the controls in regions (false discovery rate <0.05) including the genu, body and splenium of the corpus callosum and the left anterior limb of the internal capsule (ALIC). Using fiber tractography, FA was significantly lower in schizophrenia in the corpus callosum genu (p = 0.003). Conclusions In schizophrenia, white matter diffusion deficits are prominent in medial frontal regions. These changes are consistent with the results of previous studies which have detected white matter changes in these areas. The pathology of schizophrenia may preferentially affect the prefrontal-thalamic white matter circuits traversing these regions. © Ellison-Wright et al.; licensee BioMed Central Ltd. 2014
abstractGer	Background Gray and white matter brain changes have been found in schizophrenia but the anatomical organizing process underlying these changes remains unknown. We aimed to identify gray and white matter volumetric changes in a group of patients with schizophrenia and to quantify the distribution of white matter tract changes using a novel approach which applied three complementary analyses to diffusion imaging data. Methods 21 patients with schizophrenia and 21 matched control subjects underwent brain magnetic resonance imaging. Gray and white matter volume differences were investigated using Voxel-based Morphometry (VBM). White matter diffusion changes were located using Tract Based Spatial Statistics (TBSS) and quantified within a standard atlas. Tracts where significant regional differences were located were examined using fiber tractography. Results No significant differences in gray or white matter volumetry were found between the two groups. Using TBSS the schizophrenia group showed significantly lower fractional anisotropy (FA) compared to the controls in regions (false discovery rate <0.05) including the genu, body and splenium of the corpus callosum and the left anterior limb of the internal capsule (ALIC). Using fiber tractography, FA was significantly lower in schizophrenia in the corpus callosum genu (p = 0.003). Conclusions In schizophrenia, white matter diffusion deficits are prominent in medial frontal regions. These changes are consistent with the results of previous studies which have detected white matter changes in these areas. The pathology of schizophrenia may preferentially affect the prefrontal-thalamic white matter circuits traversing these regions. © Ellison-Wright et al.; licensee BioMed Central Ltd. 2014
abstract_unstemmed	Background Gray and white matter brain changes have been found in schizophrenia but the anatomical organizing process underlying these changes remains unknown. We aimed to identify gray and white matter volumetric changes in a group of patients with schizophrenia and to quantify the distribution of white matter tract changes using a novel approach which applied three complementary analyses to diffusion imaging data. Methods 21 patients with schizophrenia and 21 matched control subjects underwent brain magnetic resonance imaging. Gray and white matter volume differences were investigated using Voxel-based Morphometry (VBM). White matter diffusion changes were located using Tract Based Spatial Statistics (TBSS) and quantified within a standard atlas. Tracts where significant regional differences were located were examined using fiber tractography. Results No significant differences in gray or white matter volumetry were found between the two groups. Using TBSS the schizophrenia group showed significantly lower fractional anisotropy (FA) compared to the controls in regions (false discovery rate <0.05) including the genu, body and splenium of the corpus callosum and the left anterior limb of the internal capsule (ALIC). Using fiber tractography, FA was significantly lower in schizophrenia in the corpus callosum genu (p = 0.003). Conclusions In schizophrenia, white matter diffusion deficits are prominent in medial frontal regions. These changes are consistent with the results of previous studies which have detected white matter changes in these areas. The pathology of schizophrenia may preferentially affect the prefrontal-thalamic white matter circuits traversing these regions. © Ellison-Wright et al.; licensee BioMed Central Ltd. 2014
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title_short	Distribution of tract deficits in schizophrenia
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