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{"title"=>"Investigating the neural correlates of voice versus speech-sound directed information in pre-school children", "type"=>"journal", "authors"=>[{"first_name"=>"Nora Maria", "last_name"=>"Raschle", "scopus_author_id"=>"35093179700"}, {"first_name"=>"Sara Ashley", "last_name"=>"Smith", "scopus_author_id"=>"56907862600"}, {"first_name"=>"Jennifer", "last_name"=>"Zuk", "scopus_author_id"=>"53665021500"}, {"first_name"=>"Maria Regina", "last_name"=>"Dauvermann", "scopus_author_id"=>"36080415400"}, {"first_name"=>"Michael Joseph", "last_name"=>"Figuccio", "scopus_author_id"=>"56461361400"}, {"first_name"=>"Nadine", "last_name"=>"Gaab", "scopus_author_id"=>"6508365990"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84919825926", "pmid"=>"25532132", "isbn"=>"1932-6203", "pui"=>"600996664", "issn"=>"19326203", "scopus"=>"2-s2.0-84919825926", "doi"=>"10.1371/journal.pone.0115549"}, "id"=>"f47a2b62-c779-36d0-9bd8-833e72fdebb2", "abstract"=>"Studies in sleeping newborns and infants propose that the superior temporal sulcus is involved in speech processing soon after birth. Speech processing also implicitly requires the analysis of the human voice, which conveys both linguistic and extra-linguistic information. However, due to technical and practical challenges when neuroimaging young children, evidence of neural correlates of speech and/or voice processing in toddlers and young children remains scarce. In the current study, we used functional magnetic resonance imaging (fMRI) in 20 typically developing preschool children (average age  = 5.8 y; range 5.2-6.8 y) to investigate brain activation during judgments about vocal identity versus the initial speech sound of spoken object words. FMRI results reveal common brain regions responsible for voice-specific and speech-sound specific processing of spoken object words including bilateral primary and secondary language areas of the brain. Contrasting voice-specific with speech-sound specific processing predominantly activates the anterior part of the right-hemispheric superior temporal sulcus. Furthermore, the right STS is functionally correlated with left-hemispheric temporal and right-hemispheric prefrontal regions. This finding underlines the importance of the right superior temporal sulcus as a temporal voice area and indicates that this brain region is specialized, and functions similarly to adults by the age of five. We thus extend previous knowledge of voice-specific regions and their functional connections to the young brain which may further our understanding of the neuronal mechanism of speech-specific processing in children with developmental disorders, such as autism or specific language impairments.", "link"=>"http://www.mendeley.com/research/investigating-neural-correlates-voice-versus-speechsound-directed-information-preschool-children", "reader_count"=>30, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>2, "Librarian"=>1, "Researcher"=>9, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>5, "Student > Postgraduate"=>1, "Student > Master"=>4, "Other"=>1, "Student > Bachelor"=>3, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>2, "Librarian"=>1, "Researcher"=>9, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>5, "Student > Postgraduate"=>1, "Student > Master"=>4, "Other"=>1, "Student > Bachelor"=>3, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>5, "Engineering"=>1, "Nursing and Health Professions"=>1, "Agricultural and Biological Sciences"=>2, "Medicine and Dentistry"=>3, "Neuroscience"=>5, "Psychology"=>9, "Social Sciences"=>2, "Linguistics"=>2}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>3}, "Neuroscience"=>{"Neuroscience"=>5}, "Social Sciences"=>{"Social Sciences"=>2}, "Psychology"=>{"Psychology"=>9}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>2}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Linguistics"=>{"Linguistics"=>2}, "Unspecified"=>{"Unspecified"=>5}}, "reader_count_by_country"=>{"Hungary"=>1}, "group_count"=>2}

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• http://doi.org/10.1016/j.dcn.2018.07.001
• http://doi.org/10.1016/j.neuroimage.2020.116858
• http://doi.org/10.1016/j.neuropsychologia.2018.12.003
• http://doi.org/10.3389/fnins.2016.00393
• http://doi.org/10.1177/1550059415612622
• http://doi.org/10.1044/2016_JSLHR-H-15-0435

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• {"type"=>"COMMENT", "annotationUri"=>"info:doi/10.1371/annotation/047898a2-6289-4bfa-be36-954abad990df", "title"=>"Update to the Data Availability Statement", "body"=>"The authors confirm that, for approved reasons, some access restrictions apply to the data underlying the findings. Due to ethical restrictions, functional neuroimaging data cannot be made publicly available. However, data will be made available to all interested researchers after receiving permission from the IRB officials of the Children's Hospital Boston. Requests for data access will be received by Nadine Gaab (nadine.gaab@childrens.harvard.edu). Raw data of the psychometric session, in-scanner performance, ROI analysis, SES and HLE questions are available at figshare (http://dx.doi.org/10.6084/m9.figshare.1552004).", "isRemoved"=>false, "created"=>"2015-09-22T19:49:13Z", "lastModified"=>"2015-09-22T19:49:13Z", "creator"=>{"userId"=>"80539"}, "highlightedText"=>"", "competingInterestStatement"=>{"creatorWasPrompted"=>true, "hasCompetingInterests"=>false}, "parentArticle"=>{"doi"=>"info:doi/10.1371/journal.pone.0115549", "state"=>"published", "journals"=>{"PLoSONE"=>{"journalKey"=>"PLoSONE", "eIssn"=>"1932-6203", "title"=>"PLOS ONE"}}}, "replyTreeSize"=>0, "mostRecentActivity"=>"2015-09-22T19:49:13Z", "replies"=>[]}

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• {"id"=>"547149142275805185", "text"=>"Investigating the Neural Correlates of Voice vs Speech-Sound Directed Information in PreSchool Children http://t.co/KO6yof4Nmh from @PLOSONE", "created_at"=>"2014-12-22T21:58:15Z", "user"=>"PLOSNeuro", "user_name"=>"PLOS Neuro Community", "user_profile_image"=>"http://pbs.twimg.com/profile_images/503986620375121921/8OqTRBs1_normal.jpeg"}
• {"id"=>"547183882718552064", "text"=>"RT @PLOSNeuro: Investigating the Neural Correlates of Voice vs Speech-Sound Directed Information in PreSchool Children http://t.co/KO6yof4N…", "created_at"=>"2014-12-23T00:16:18Z", "user"=>"it03b", "user_name"=>"takashi", "user_profile_image"=>"http://pbs.twimg.com/profile_images/515456594016882688/ptwishcH_normal.jpeg"}
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• {"files"=>["https://ndownloader.figshare.com/files/1851917"], "description"=>"<p>Cerebral regions activated when attending to (<b>A</b>) speakers voice (‘VM> Rest’) or (<b>B</b>) speech sounds (‘FSM> Rest’). Brain regions activated when attending more on speech sounds of spoken object words than speaker voice (<b>C</b>; ‘VM D; ‘VM> FSM’ (p<0.005; k = 10).</p>", "links"=>[], "tags"=>["object words", "region", "speech", "sts", "fmri", "sulcu"], "article_id"=>1276798, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Nora Maria Raschle", "Sara Ashley Smith", "Jennifer Zuk", "Maria Regina Dauvermann", "Michael Joseph Figuccio", "Nadine Gaab"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0115549.g001", "stats"=>{"downloads"=>1, "page_views"=>22, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Neuronal_activation_patterns_during_voice_or_speech_sound_directed_information_processing_/1276798", "title"=>"Neuronal activation patterns during voice or speech-sound directed information processing.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-12-22 02:44:33"}
• {"files"=>["https://ndownloader.figshare.com/files/1851929"], "description"=>"<p>Main cortical peak activations for speech sounds or speaker voice compared to rest (‘FSM>Rest’ and ‘VM>Rest’), or speech sounds vs. speaker voice (‘VMFSM’).</p>", "links"=>[], "tags"=>["object words", "region", "speech", "sts", "fmri", "sulcu"], "article_id"=>1276803, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Nora Maria Raschle", "Sara Ashley Smith", "Jennifer Zuk", "Maria Regina Dauvermann", "Michael Joseph Figuccio", "Nadine Gaab"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0115549.t002", "stats"=>{"downloads"=>3, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Main_cortical_peak_activations_for_speech_sounds_or_speaker_voice_compared_to_rest_8216_FSM_gt_Rest_8217_and_8216_VM_gt_Rest_8217_or_speech_sounds_vs_speaker_voice_8216_VM_lt_FSM_8217_and_8216_VM_gt_FSM_8217_/1276803", "title"=>"Main cortical peak activations for speech sounds or speaker voice compared to rest (‘FSM>Rest’ and ‘VM>Rest’), or speech sounds vs. speaker voice (‘VMFSM’).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-12-22 02:44:33"}
• {"files"=>["https://ndownloader.figshare.com/files/1851937", "https://ndownloader.figshare.com/files/1851938"], "description"=>"<div><p>Studies in sleeping newborns and infants propose that the superior temporal sulcus is involved in speech processing soon after birth. Speech processing also implicitly requires the analysis of the human voice, which conveys both linguistic and extra-linguistic information. However, due to technical and practical challenges when neuroimaging young children, evidence of neural correlates of speech and/or voice processing in toddlers and young children remains scarce. In the current study, we used functional magnetic resonance imaging (fMRI) in 20 typically developing preschool children (average age  = 5.8 y; range 5.2–6.8 y) to investigate brain activation during judgments about vocal identity versus the initial speech sound of spoken object words. FMRI results reveal common brain regions responsible for voice-specific and speech-sound specific processing of spoken object words including bilateral primary and secondary language areas of the brain. Contrasting voice-specific with speech-sound specific processing predominantly activates the anterior part of the right-hemispheric superior temporal sulcus. Furthermore, the right STS is functionally correlated with left-hemispheric temporal and right-hemispheric prefrontal regions. This finding underlines the importance of the right superior temporal sulcus as a temporal voice area and indicates that this brain region is specialized, and functions similarly to adults by the age of five. We thus extend previous knowledge of voice-specific regions and their functional connections to the young brain which may further our understanding of the neuronal mechanism of speech-specific processing in children with developmental disorders, such as autism or specific language impairments.</p></div>", "links"=>[], "tags"=>["object words", "region", "speech", "sts", "fmri", "sulcu"], "article_id"=>1276810, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Nora Maria Raschle", "Sara Ashley Smith", "Jennifer Zuk", "Maria Regina Dauvermann", "Michael Joseph Figuccio", "Nadine Gaab"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0115549.s001", "https://dx.doi.org/10.1371/journal.pone.0115549.s002"], "stats"=>{"downloads"=>3, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Investigating_the_Neural_Correlates_of_Voice_versus_Speech_Sound_Directed_Information_in_Pre_School_Children_/1276810", "title"=>"Investigating the Neural Correlates of Voice versus Speech-Sound Directed Information in Pre-School Children", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2014-12-22 02:44:33"}
• {"files"=>["https://ndownloader.figshare.com/files/1851931"], "description"=>"<p>R = right; L = left.</p><p>Main cortical regions that show connectivity with the two seed regions right STS (above) and left STS (below) in our connectivity analysis (‘VM>FSM’).</p>", "links"=>[], "tags"=>["object words", "region", "speech", "sts", "fmri", "sulcu"], "article_id"=>1276804, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Nora Maria Raschle", "Sara Ashley Smith", "Jennifer Zuk", "Maria Regina Dauvermann", "Michael Joseph Figuccio", "Nadine Gaab"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0115549.t003", "stats"=>{"downloads"=>1, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Main_cortical_regions_that_show_connectivity_with_the_two_seed_regions_right_STS_above_and_left_STS_below_in_our_connectivity_analysis_8216_VM_gt_FSM_8217_/1276804", "title"=>"Main cortical regions that show connectivity with the two seed regions right STS (above) and left STS (below) in our connectivity analysis (‘VM>FSM’).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-12-22 02:44:33"}
• {"files"=>["https://ndownloader.figshare.com/files/1851925"], "description"=>"<p>Measures (standard scores are reported).</p>a<p>19 FHD- (One child did not finish all testing).</p>b<p>18 FHD- (Two children did not finish all testing).</p>c<p>17 FHD- (Three children did not finish all testing).</p>d<p>16 FHD- (Four children did not finish all testing).</p>e<p>Parental Education scores are calculated according to the 7-point Hollingshead Index Educational Factor.</p><p>Scale, summed for husband and wife and divided by two (Hollingshead, 1975).</p>f<p>Scale where 10–5,000 $, 2 = 5,000–11,999 $, 3 = 12,000–15,999 $, 4 = 16,000–24,999 $, 5 = 25,000–34,999 $, 6 = 35,000–49,900 $, 7 = 50,000–74,999 $, 8 = 75,000–99,999 $, 9 = 100,000+$, 10 =  Don't know, 11 =  No Response.</p><p>Behavioral Group Characteristics.</p>", "links"=>[], "tags"=>["object words", "region", "speech", "sts", "fmri", "sulcu"], "article_id"=>1276801, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Nora Maria Raschle", "Sara Ashley Smith", "Jennifer Zuk", "Maria Regina Dauvermann", "Michael Joseph Figuccio", "Nadine Gaab"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0115549.t001", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Behavioral_Group_Characteristics_/1276801", "title"=>"Behavioral Group Characteristics.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-12-22 02:44:33"}
• {"files"=>["https://ndownloader.figshare.com/files/1851918"], "description"=>"<p>Weighted mean parameter estimates extracted from regions of interest (<i>in blue</i>: right and <i>in orange</i>: left anterior STS) when focusing on speaker voice (‘VM>Rest’), speech sounds (‘FSM>Rest’), when focusing more on initial speech sounds of spoken object words than speaker voice (‘FSM>VM’) and when focusing more on speaker voice than the initial speech sounds of spoken object words (‘VM>FSM’; significant activation difference in right compared to left anterior STS with p = 0.036). Weighted mean parameter estimates as extracted from right (rSTS) and left anterior STS (lSTS) regions of interest are summarized below the bar graphic.</p>", "links"=>[], "tags"=>["object words", "region", "speech", "sts", "fmri", "sulcu"], "article_id"=>1276799, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Nora Maria Raschle", "Sara Ashley Smith", "Jennifer Zuk", "Maria Regina Dauvermann", "Michael Joseph Figuccio", "Nadine Gaab"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0115549.g002", "stats"=>{"downloads"=>2, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Weighted_mean_parameter_estimates_in_right_and_left_STS_during_voice_or_speech_sound_directed_information_processing_/1276799", "title"=>"Weighted mean parameter estimates in right and left STS during voice or speech-sound directed information processing.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-12-22 02:44:33"}

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Relative Metric

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F1000Prime