Progressive White Matter Microstructure Damage in Male Chronic Heroin Dependent Individuals: A DTI and TBSS Study
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{"title"=>"Progressive White Matter Microstructure Damage in Male Chronic Heroin Dependent Individuals: A DTI and TBSS Study", "type"=>"journal", "authors"=>[{"first_name"=>"Yingwei", "last_name"=>"Qiu", "scopus_author_id"=>"35337471700"}, {"first_name"=>"Guihua", "last_name"=>"Jiang", "scopus_author_id"=>"8666045000"}, {"first_name"=>"Huanhuan", "last_name"=>"Su", "scopus_author_id"=>"54394167900"}, {"first_name"=>"Xiaofei", "last_name"=>"Lv", "scopus_author_id"=>"56380950700"}, {"first_name"=>"Xuelin", "last_name"=>"Zhang", "scopus_author_id"=>"7410283321"}, {"first_name"=>"Junzhang", "last_name"=>"Tian", "scopus_author_id"=>"35977169400"}, {"first_name"=>"Fuzhen", "last_name"=>"Zhuo", "scopus_author_id"=>"39661294600"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "scopus"=>"2-s2.0-84877015033", "pui"=>"368847604", "doi"=>"10.1371/journal.pone.0063212", "isbn"=>"1932-6203", "sgr"=>"84877015033", "pmid"=>"23650554"}, "id"=>"b4b51a4b-590a-3ee1-9f9d-b956426872dc", "abstract"=>"BACKGROUND: To investigate the WM microstructure deficits in heroin dependent individuals (HDIs) with different length of heroin dependence, and to investigate whether these WM deficits can be related to the duration of heroin use and to decision-making deficits in HDIs.\\n\\nMETHODOLOGY/PRINCIPAL FINDINGS: Thirty-six HDIs [including eighteen sHDIs (duration of heroin dependent is less than 10 years) and eighteen lHDIs (duration of dependent is between 10:20 years)] and sixteen healthy controls participated in this study. Whole brain voxel-wise analysis of fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (Da) and radial diffusivity (Dr) were performed by tract-based spatial statistics (TBSS) to localize abnormal WM regions among groups. TBSS demonstrated that sHDIs had significantly lower FA than controls in right orbito-frontal WM, bilateral temporal WM and right parietal WM. The lHDIs had significantly lower FA throughout the brain compared with the controls and sHDIs. The lHDIs had significantly lower Da than controls in bilateral inferior frontaloccipital fasciculus, bilateral splenium of corpus callosum, left inferior longitudinal fasciculus, and had significantly higher Dr than controls in bilateral uncinatus fasciculus, bilateral inferior frontaloccipital fasciculus and bilateral cortical spinal fasciculus. Volume-of-interest (VOI) analyses detect the changes of diffusivity indices in the regions with FA abnormalities revealed by control vs sHDIs. In most VOIs, FA reductions were caused by the increase in Dr as well as the decrease in Da. Correlation analysis was used to assess the relationship between FA and behavioral measures in HDIs and controls available. Significantly positively correlations were found between the FA values in the right orbital-frontal WM, right parietal WM and IGT performance.\\n\\nCONCLUSIONS: The extent and severity of WM integrity deficits in HDIs was associated with the length of heroin dependent. Furthermore, abnormal WM microstructure may correlate with decision-making impairments in HDIs.", "link"=>"http://www.mendeley.com/research/progressive-white-matter-microstructure-damage-male-chronic-heroin-dependent-individuals-dti-tbss-st", "reader_count"=>42, "reader_count_by_academic_status"=>{"Unspecified"=>4, "Professor > Associate Professor"=>2, "Researcher"=>4, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>12, "Student > Master"=>4, "Other"=>6, "Student > Bachelor"=>4, "Lecturer"=>1, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>4, "Professor > Associate Professor"=>2, "Researcher"=>4, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>12, "Student > Master"=>4, "Other"=>6, "Student > Bachelor"=>4, "Lecturer"=>1, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>7, "Agricultural and Biological Sciences"=>4, "Business, Management and Accounting"=>1, "Chemical Engineering"=>1, "Computer Science"=>1, "Economics, Econometrics and Finance"=>1, "Engineering"=>6, "Biochemistry, Genetics and Molecular Biology"=>1, "Nursing and Health Professions"=>1, "Mathematics"=>1, "Medicine and Dentistry"=>7, "Neuroscience"=>3, "Psychology"=>7, "Social Sciences"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>7}, "Social Sciences"=>{"Social Sciences"=>1}, "Psychology"=>{"Psychology"=>7}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>7}, "Chemical Engineering"=>{"Chemical Engineering"=>1}, "Engineering"=>{"Engineering"=>6}, "Neuroscience"=>{"Neuroscience"=>3}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>4}, "Computer Science"=>{"Computer Science"=>1}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}}, "reader_count_by_country"=>{"Sweden"=>1, "Hong Kong"=>1, "United States"=>1, "Italy"=>1, "Germany"=>1, "Spain"=>1, "Russia"=>1}, "group_count"=>2}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1050547"], "description"=>"<p>All participants increased net score over time consistent with learning. Controls had higher net scores than HDI.</p>", "links"=>[], "tags"=>["neuroscience", "Cognitive neuroscience", "Decision making", "neuroanatomy", "Connectomics", "neuroimaging", "Anatomy and physiology", "Neurological system", "Central nervous system", "Drugs and devices", "Behavioral pharmacology", "Drug dependence", "Mental health", "psychiatry", "Substance abuse", "neurology", "radiology", "Diagnostic radiology", "Magnetic resonance imaging", "iowa", "gambling"], "article_id"=>695441, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Yingwei Qiu", "Guihua Jiang", "Huanhuan Su", "Xiaofei Lv", "Xuelin Zhang", "Junzhang Tian", "Fuzhen Zhuo"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0063212.g001"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Performance_on_Iowa_Gambling_Task_IGT_/695441", "title"=>"Performance on Iowa Gambling Task (IGT).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-05-01 01:30:41"}
  • {"files"=>["https://ndownloader.figshare.com/files/1050549"], "description"=>"<p>Areas in red are regions where FA was significantly lower (p<0.05, corrected\nby TFCE) in sHDI (Panel A) and lHDI (Panel B) relative to normal controls, and in lHDI (Panel C) relative to sHDI. To aid visualization, regions showing\nreduced FA (red) are thickened using the tbss_fill script implemented in FSL. Results are shown overlaid on the MNI152-T1 template and the mean FA\nskeleton (green). The left side of the image corresponds to the right hemisphere of the brain.</p>", "links"=>[], "tags"=>["neuroscience", "Cognitive neuroscience", "Decision making", "neuroanatomy", "Connectomics", "neuroimaging", "Anatomy and physiology", "Neurological system", "Central nervous system", "Drugs and devices", "Behavioral pharmacology", "Drug dependence", "Mental health", "psychiatry", "Substance abuse", "neurology", "radiology", "Diagnostic radiology", "Magnetic resonance imaging", "fractional", "anisotropy"], "article_id"=>695442, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Yingwei Qiu", "Guihua Jiang", "Huanhuan Su", "Xiaofei Lv", "Xuelin Zhang", "Junzhang Tian", "Fuzhen Zhuo"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0063212.g002"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_TBSS_analysis_of_fractional_anisotropy_FA_volumes_/695442", "title"=>"TBSS analysis of fractional anisotropy (FA) volumes.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-05-01 01:30:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/1050553"], "description"=>"<p>Compared with controls, the lHDI showed significantly reduced Da in bilateral inferior frontaloccipital fasciculus, bilateral splenium of corpus callosum, and left inferior longitudinal fasciculus (Panel A), and showed significantly increased Dr in bilateral uncinatus fasciculus, bilateral inferior frontaloccipital fasciculus and bilateral cortical spinal fasciculus (Panel B). To aid visualization, regions showing reduced Da (red) or increased Dr (red) are thickened using the tbss_fill script implemented in FSL. Results are shown overlaid on the MNI152-T1 template and the mean FA skeleton (green). The left side of the image corresponds to the right hemisphere of the brain.</p>", "links"=>[], "tags"=>["neuroscience", "Cognitive neuroscience", "Decision making", "neuroanatomy", "Connectomics", "neuroimaging", "Anatomy and physiology", "Neurological system", "Central nervous system", "Drugs and devices", "Behavioral pharmacology", "Drug dependence", "Mental health", "psychiatry", "Substance abuse", "neurology", "radiology", "Diagnostic radiology", "Magnetic resonance imaging", "axonal", "diffusivity", "radial"], "article_id"=>695443, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Yingwei Qiu", "Guihua Jiang", "Huanhuan Su", "Xiaofei Lv", "Xuelin Zhang", "Junzhang Tian", "Fuzhen Zhuo"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0063212.g003"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_TBSS_analysis_of_axonal_diffusivity_Da_and_radial_diffusivity_Dr_volumes_/695443", "title"=>"TBSS analysis of axonal diffusivity (Da) and radial diffusivity (Dr) volumes.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-05-01 01:30:43"}
  • {"files"=>["https://ndownloader.figshare.com/files/1050554"], "description"=>"<p>The FA values of the right frontal WM, right parietal WM were positively correlated with the IGT performance in both HDI and controls.</p>", "links"=>[], "tags"=>["neuroscience", "Cognitive neuroscience", "Decision making", "neuroanatomy", "Connectomics", "neuroimaging", "Anatomy and physiology", "Neurological system", "Central nervous system", "Drugs and devices", "Behavioral pharmacology", "Drug dependence", "Mental health", "psychiatry", "Substance abuse", "neurology", "radiology", "Diagnostic radiology", "Magnetic resonance imaging", "fa", "igt"], "article_id"=>695444, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Yingwei Qiu", "Guihua Jiang", "Huanhuan Su", "Xiaofei Lv", "Xuelin Zhang", "Junzhang Tian", "Fuzhen Zhuo"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0063212.g004"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Correlation_analysis_of_the_FA_values_and_the_IGT_performance_/695444", "title"=>"Correlation analysis of the FA values and the IGT performance.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-05-01 01:30:44"}
  • {"files"=>["https://ndownloader.figshare.com/files/1050558"], "description"=>"*<p>Significant different, P<0.05.</p><p>sHDI: short-term dependence, heroin dependent individuals with duration less than 10 years;</p><p>lHDI: long-term dependence, heroin dependent individuals with duration between 10 to 20 years;</p><p>IGT: The Iowa gambling task.</p>", "links"=>[], "tags"=>["neuroscience", "Cognitive neuroscience", "Decision making", "neuroanatomy", "Connectomics", "neuroimaging", "Anatomy and physiology", "Neurological system", "Central nervous system", "Drugs and devices", "Behavioral pharmacology", "Drug dependence", "Mental health", "psychiatry", "Substance abuse", "neurology", "radiology", "Diagnostic radiology", "Magnetic resonance imaging", "demographics", "heroin-dependent", "individuals"], "article_id"=>695447, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Yingwei Qiu", "Guihua Jiang", "Huanhuan Su", "Xiaofei Lv", "Xuelin Zhang", "Junzhang Tian", "Fuzhen Zhuo"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0063212.t001"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Subject_demographics_for_heroin_dependent_individuals_HDI_and_control_groups_/695447", "title"=>"Subject demographics for heroin-dependent individuals (HDI) and control groups.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-05-01 01:30:47"}
  • {"files"=>["https://ndownloader.figshare.com/files/1050559"], "description"=>"*<p>Significant different, P<0.05.</p>$<p>Significant different for control vs sHDIs.</p>#<p>Significant different for control vs lHDIs.</p>&<p>Significant different for of sHDIs vs lHDIs.</p><p>WM: white matter; Da: axial diffusivity; Dr: radial diffusivity.</p>", "links"=>[], "tags"=>["neuroscience", "Cognitive neuroscience", "Decision making", "neuroanatomy", "Connectomics", "neuroimaging", "Anatomy and physiology", "Neurological system", "Central nervous system", "Drugs and devices", "Behavioral pharmacology", "Drug dependence", "Mental health", "psychiatry", "Substance abuse", "neurology", "radiology", "Diagnostic radiology", "Magnetic resonance imaging", "differences", "diffusivity", "indices"], "article_id"=>695448, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Yingwei Qiu", "Guihua Jiang", "Huanhuan Su", "Xiaofei Lv", "Xuelin Zhang", "Junzhang Tian", "Fuzhen Zhuo"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0063212.t002"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Group_differences_in_diffusivity_indices_from_volume_of_interests_/695448", "title"=>"Group differences in diffusivity indices from volume-of-interests.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-05-01 01:30:48"}
  • {"files"=>["https://ndownloader.figshare.com/files/1050560"], "description"=>"*<p>P<0.05.</p>", "links"=>[], "tags"=>["neuroscience", "Cognitive neuroscience", "Decision making", "neuroanatomy", "Connectomics", "neuroimaging", "Anatomy and physiology", "Neurological system", "Central nervous system", "Drugs and devices", "Behavioral pharmacology", "Drug dependence", "Mental health", "psychiatry", "Substance abuse", "neurology", "radiology", "Diagnostic radiology", "Magnetic resonance imaging", "fa", "abnormal", "regions", "shdi", "duration", "heroin"], "article_id"=>695449, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Yingwei Qiu", "Guihua Jiang", "Huanhuan Su", "Xiaofei Lv", "Xuelin Zhang", "Junzhang Tian", "Fuzhen Zhuo"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0063212.t003"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Correlation_between_mean_FA_of_Abnormal_Brain_Regions_revealed_by_sHDI_vs_controls_and_Duration_of_Heroin_Use_in_HDIs_/695449", "title"=>"Correlation between mean FA of Abnormal Brain Regions (revealed by sHDI vs controls) and Duration of Heroin Use in HDIs.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-05-01 01:30:49"}

PMC Usage Stats | Further Information

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  • {"unique-ip"=>"20", "full-text"=>"24", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"10"}
  • {"unique-ip"=>"15", "full-text"=>"22", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2018", "month"=>"11"}
  • {"unique-ip"=>"15", "full-text"=>"18", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"9"}
  • {"unique-ip"=>"18", "full-text"=>"22", "pdf"=>"6", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"2"}
  • {"unique-ip"=>"16", "full-text"=>"15", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
  • {"unique-ip"=>"19", "full-text"=>"26", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"4"}

Relative Metric

{"start_date"=>"2013-01-01T00:00:00Z", "end_date"=>"2013-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Biology and life sciences/Neuroscience", "average_usage"=>[261, 444, 554, 655, 748, 834, 923, 1004, 1089, 1170, 1244, 1315, 1380]}, {"subject_area"=>"/Medicine and health sciences/Anatomy and physiology", "average_usage"=>[253, 430]}, {"subject_area"=>"/Medicine and health sciences/Diagnostic medicine", "average_usage"=>[244, 425, 535, 636, 728, 814, 900, 982, 1063, 1139, 1221, 1296, 1361]}, {"subject_area"=>"/Medicine and health sciences/Public and occupational health", "average_usage"=>[291, 491, 610, 723, 817, 906, 991, 1071, 1153, 1238, 1324, 1411, 1478]}, {"subject_area"=>"/Physical sciences", "average_usage"=>[254, 431, 547, 651, 748, 842, 932, 1017, 1098, 1178, 1259, 1336, 1404]}, {"subject_area"=>"/Social sciences", "average_usage"=>[289, 475, 593, 703, 805, 902, 990, 1078, 1158, 1250, 1336, 1417, 1482]}, {"subject_area"=>"/Social sciences/Psychology", "average_usage"=>[294, 460, 580, 683, 777, 868, 957, 1044, 1124, 1202, 1276, 1356, 1422]}]}
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