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Strong RW, Alvarez GA. Hemifield-specific control of spatial attention and working memory: Evidence from hemifield crossover costs. J Vis 2020; 20:24. [PMID: 32841317 PMCID: PMC7453044 DOI: 10.1167/jov.20.8.24] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Attentional tracking and working memory tasks are often performed better when targets are divided evenly between the left and right visual hemifields, rather than contained within a single hemifield (Alvarez & Cavanagh, 2005; Delvenne, 2005). However, this bilateral field advantage does not provide conclusive evidence of hemifield-specific control of attention and working memory, because it can be explained solely from hemifield-limited spatial interference at early stages of visual processing. If control of attention and working memory is specific to each hemifield, maintaining target information should become more difficult as targets move between the two hemifields. Observers in the present study maintained targets that moved either within or between the left and right hemifields, using either attention (Experiment 1) or working memory (Experiment 2). Maintaining spatial information was more difficult when target items moved between the hemifields compared with when target items moved within their original hemifields, consistent with hemifield-specific control of spatial attention and working memory. However, this pattern was not found for maintaining identity information (e.g., color) in working memory (Experiment 3). Together, these results provide evidence that control of spatial attention and working memory is specific to each hemifield, and that hemifield-specific control is a unique signature of spatial processing.
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Affiliation(s)
- Roger W Strong
- Department of Psychology, Harvard University, Cambridge, MA, USA.,Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, USA.,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - George A Alvarez
- Department of Psychology, Harvard University, Cambridge, MA, USA
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Sharma K, Trivedi R, Chandra S, Kaur P, Kumar P, Singh K, Dubey AK, Khushu S. Enhanced White Matter Integrity in Corpus Callosum of Long-Term Brahmakumaris Rajayoga Meditators. Brain Connect 2017; 8:49-55. [PMID: 29065696 DOI: 10.1089/brain.2017.0524] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Meditation has a versatile nature to affect cognitive functioning of human brain. Recent researches demonstrated its effects on white matter (WM) properties of human brain. In this research, we aim to investigate WM microstructure of corpus callosum (CC) in long-term meditators (LTMs) of rajayoga meditation using diffusion tensor imaging. For this cross-sectional analysis, 22 LTMs and 17 control participants of age ranging from 30 to 50 years were recruited. Results show high fractional anisotropy values with low mean diffusivity in whole as well as different segments of CC in the LTM group. Also the experience of meditation was correlated with WM properties of CC tracts. Findings may suggest rajayoga meditation to bring potential changes in microstructure of CC segments. Further studies are suggested in clinical population to check its validity and efficacy against disorders involving agenesis of WM.
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Affiliation(s)
- Kanishka Sharma
- 1 Department of Biomedical Engineering, Institute of Nuclear Medicine and Allied Science (INMAS) , Defence R&D Organization, Timarpur, Delhi, India .,2 Division of Biological Sciences and Engineering, Netaji Subhas Institute of Technology, Dwarka, Delhi, India
| | - Richa Trivedi
- 3 Division of NMR, Institute of Nuclear Medicine and Allied Science (INMAS) , Defence R&D Organization, Timarpur, Delhi, India
| | - Sushil Chandra
- 1 Department of Biomedical Engineering, Institute of Nuclear Medicine and Allied Science (INMAS) , Defence R&D Organization, Timarpur, Delhi, India
| | - Prabhjot Kaur
- 3 Division of NMR, Institute of Nuclear Medicine and Allied Science (INMAS) , Defence R&D Organization, Timarpur, Delhi, India
| | - Pawan Kumar
- 3 Division of NMR, Institute of Nuclear Medicine and Allied Science (INMAS) , Defence R&D Organization, Timarpur, Delhi, India
| | - Kavita Singh
- 3 Division of NMR, Institute of Nuclear Medicine and Allied Science (INMAS) , Defence R&D Organization, Timarpur, Delhi, India
| | - Ashok K Dubey
- 2 Division of Biological Sciences and Engineering, Netaji Subhas Institute of Technology, Dwarka, Delhi, India
| | - Subash Khushu
- 3 Division of NMR, Institute of Nuclear Medicine and Allied Science (INMAS) , Defence R&D Organization, Timarpur, Delhi, India
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Leng Y, Shi Y, Yu Q, Van Horn JD, Tang H, Li J, Xu W, Ge X, Tang Y, Han Y, Zhang D, Xiao M, Zhang H, Pang Z, Toga AW, Liu S. Phenotypic and Genetic Correlations Between the Lobar Segments of the Inferior Fronto-occipital Fasciculus and Attention. Sci Rep 2016; 6:33015. [PMID: 27597294 PMCID: PMC5011720 DOI: 10.1038/srep33015] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2016] [Accepted: 08/18/2016] [Indexed: 01/14/2023] Open
Abstract
Attention deficits may present dysfunctions in any one or two components of attention (alerting, orienting, and executive control (EC)). However, these various forms of attention deficits generally have abnormal microstructure integrity of inferior fronto-occipital fasciculus (IFOF). In this work, we aim to deeply explore: (1) associations between microstructure integrities of IFOF (including frontal, parietal, temporal, occipital, and insular segments) and attention by means of structural equation models and multiple regression analyses; (2) genetic/environmental effects on IFOF, attention, and their correlations using bivariate genetic analysis. EC function was attributed to the fractional anisotropy (FA) of left (correlation was driven by genetic and environmental factors) and right IFOF (correlation was driven by environmental factors), especially to left frontal part and right occipital part (correlation was driven by genetic factors). Alerting was associated with FA in parietal and insular parts of left IFOF. No significant correlation was found between orienting and IFOF. This study revealed the advantages of lobar-segmental analysis in structure-function correlation study and provided the anatomical basis for kinds of attention deficits. The common genetic/environmental factors implicated in the certain correlations suggested the common physiological mechanisms for two traits, which should promote the discovery of single-nucleotide polymorphisms affecting IFOF and attention.
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Affiliation(s)
- Yuan Leng
- Research Center for Sectional Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorders, Shandong University School of Medicine, 44 Wen-hua Xi Road, 250012 Jinan, Shandong, China
- Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of University of Southern California, Los Angeles, CA 90033, USA
| | - Yonggang Shi
- Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of University of Southern California, Los Angeles, CA 90033, USA
| | - Qiaowen Yu
- Research Center for Sectional Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorders, Shandong University School of Medicine, 44 Wen-hua Xi Road, 250012 Jinan, Shandong, China
| | - John Darrell Van Horn
- Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of University of Southern California, Los Angeles, CA 90033, USA
| | - Haiyan Tang
- Research Center for Sectional Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorders, Shandong University School of Medicine, 44 Wen-hua Xi Road, 250012 Jinan, Shandong, China
| | - Junning Li
- Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of University of Southern California, Los Angeles, CA 90033, USA
| | - Wenjian Xu
- Department of Radiology, Affiliated Hospital of Medical College, Qingdao University, 266003 Qingdao, Shandong, China
| | - Xinting Ge
- Research Center for Sectional Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorders, Shandong University School of Medicine, 44 Wen-hua Xi Road, 250012 Jinan, Shandong, China
| | - Yuchun Tang
- Research Center for Sectional Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorders, Shandong University School of Medicine, 44 Wen-hua Xi Road, 250012 Jinan, Shandong, China
| | - Yan Han
- Department of Radiology, Affiliated Hospital of Medical College, Qingdao University, 266003 Qingdao, Shandong, China
| | - Dong Zhang
- Department of Epidemiology, Qingdao Municipal Center for Disease Control and Prevention, 266033 Qingdao, Shandong, China
| | - Min Xiao
- Research Center for Sectional Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorders, Shandong University School of Medicine, 44 Wen-hua Xi Road, 250012 Jinan, Shandong, China
| | - Huaqiang Zhang
- Department of Epidemiology, Qingdao Municipal Center for Disease Control and Prevention, 266033 Qingdao, Shandong, China
| | - Zengchang Pang
- Department of Epidemiology, Qingdao Municipal Center for Disease Control and Prevention, 266033 Qingdao, Shandong, China
| | - Arthur W. Toga
- Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of University of Southern California, Los Angeles, CA 90033, USA
| | - Shuwei Liu
- Research Center for Sectional Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorders, Shandong University School of Medicine, 44 Wen-hua Xi Road, 250012 Jinan, Shandong, China
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Pryweller JR, Schauder KB, Anderson AW, Heacock JL, Foss-Feig JH, Newsom CR, Loring WA, Cascio CJ. White matter correlates of sensory processing in autism spectrum disorders. Neuroimage Clin 2014; 6:379-87. [PMID: 25379451 PMCID: PMC4218938 DOI: 10.1016/j.nicl.2014.09.018] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2014] [Revised: 09/24/2014] [Accepted: 09/26/2014] [Indexed: 11/29/2022]
Abstract
Autism spectrum disorder (ASD) has been characterized by atypical socio-communicative behavior, sensorimotor impairment and abnormal neurodevelopmental trajectories. DTI has been used to determine the presence and nature of abnormality in white matter integrity that may contribute to the behavioral phenomena that characterize ASD. Although atypical patterns of sensory responding in ASD are well documented in the behavioral literature, much less is known about the neural networks associated with aberrant sensory processing. To address the roles of basic sensory, sensory association and early attentional processes in sensory responsiveness in ASD, our investigation focused on five white matter fiber tracts known to be involved in these various stages of sensory processing: superior corona radiata, centrum semiovale, inferior longitudinal fasciculus, posterior limb of the internal capsule, and splenium. We acquired high angular resolution diffusion images from 32 children with ASD and 26 typically developing children between the ages of 5 and 8. We also administered sensory assessments to examine brain-behavior relationships between white matter integrity and sensory variables. Our findings suggest a modulatory role of the inferior longitudinal fasciculus and splenium in atypical sensorimotor and early attention processes in ASD. Increased tactile defensiveness was found to be related to reduced fractional anisotropy in the inferior longitudinal fasciculus, which may reflect an aberrant connection between limbic structures in the temporal lobe and the inferior parietal cortex. Our findings also corroborate the modulatory role of the splenium in attentional orienting, but suggest the possibility of a more diffuse or separable network for social orienting in ASD. Future investigation should consider the use of whole brain analyses for a more robust assessment of white matter microstructure.
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Affiliation(s)
- Jennifer R. Pryweller
- Department of Radiological Sciences, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Kimberly B. Schauder
- Department of Clinical and Social Sciences in Psychology, University of Rochester, Rochester, NY, USA
| | - Adam W. Anderson
- Vanderbilt University Institute of Imaging Science, Nashville, TN, USA
- Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, USA
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
| | | | | | - Cassandra R. Newsom
- Vanderbilt University Department of Psychiatry, Nashville, TN, USA
- Vanderbilt Kennedy Center, Nashville, TN, USA
- Vanderbilt University Department of Pediatrics, Nashville, TN, USA
| | - Whitney A. Loring
- Vanderbilt University Department of Psychiatry, Nashville, TN, USA
- Vanderbilt Kennedy Center, Nashville, TN, USA
- Vanderbilt University Department of Pediatrics, Nashville, TN, USA
| | - Carissa J. Cascio
- Vanderbilt University Department of Psychiatry, Nashville, TN, USA
- Vanderbilt Kennedy Center, Nashville, TN, USA
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Abstract
To what extent are spontaneous neural signals within striate cortex organized by vision? We examined the fine-scale pattern of striate cortex correlations within and between hemispheres in rest-state BOLD fMRI data from sighted and blind people. In the sighted, we find that corticocortico correlation is well modeled as a Gaussian point-spread function across millimeters of striate cortical surface, rather than degrees of visual angle. Blindness produces a subtle change in the pattern of fine-scale striate correlations between hemispheres. Across participants blind before the age of 18, the degree of pattern alteration covaries with the strength of long-range correlation between left striate cortex and Broca's area. This suggests that early blindness exchanges local, vision-driven pattern synchrony of the striate cortices for long-range functional correlations potentially related to cross-modal representation.
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Niogi S, Mukherjee P, Ghajar J, McCandliss BD. Individual Differences in Distinct Components of Attention are Linked to Anatomical Variations in Distinct White Matter Tracts. Front Neuroanat 2010; 4:2. [PMID: 20204143 PMCID: PMC2831631 DOI: 10.3389/neuro.05.002.2010] [Citation(s) in RCA: 67] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2009] [Accepted: 01/05/2010] [Indexed: 11/13/2022] Open
Abstract
Inter-subject variations in white matter tract properties are known to correlate with individual differences in performance in cognitive domains such as attention. The specificity of such linkages, however, is largely unexplored at the level of specific component operations of attention associated with distinct anatomical networks. This study examines individual performance variation within three functional components of attention - alerting, orienting, and conflict processing - identified by the Attention Network Task (ANT), and relates each to inter-subject variation in a distinct set of white matter tract regions. Diffusion tensor imaging data collected at 3T was used to calculate average fractional anisotropy within a set of individualized a priori defined regions of interest using the Reproducible Objective Quantification Scheme (ROQS) (Niogi and McCandliss, 2006; Niogi et al., 2007). Results demonstrate three functionally distinct components of attention that each correlate distinctly with three white matter tract regions. Structure-function correlations were found between alerting and the anterior limb of the internal capsule, orienting and the splenium of the corpus callosum, and conflict and the anterior corona radiata. A multiple regression/dissociation analysis demonstrated a triple dissociation between these three structure-function relationships that provided evidence of three anatomically and functionally separable networks. These results extend previous findings from functional imaging and lesion studies that suggest these three components of attention are subserved by dissociable networks, and suggest that variations in white matter tract microstructure may modulate the efficiency of these cognitive processes in highly specific ways.
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Affiliation(s)
- Sumit Niogi
- Weill-Cornell Medical College, Cornell University Ithaca, NY, USA
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