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Glenn DE, Merenstein JL, Bennett IJ, Michalska KJ. Anxiety symptoms and puberty interactively predict lower cingulum microstructure in preadolescent Latina girls. Sci Rep 2022; 12:20755. [PMID: 36456602 PMCID: PMC9713745 DOI: 10.1038/s41598-022-24803-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 11/21/2022] [Indexed: 12/03/2022] Open
Abstract
Preadolescence is a period of increased vulnerability for anxiety, especially among Latina girls. Reduced microstructure (fractional anisotropy; FA) of white matter tracts between limbic and prefrontal regions may underlie regulatory impairments in anxiety. However, developmental research on the association between anxiety and white matter microstructure is mixed, possibly due to interactive influences with puberty. In a sample of 39 Latina girls (8-13 years), we tested whether pubertal stage moderated the association between parent- and child-reported anxiety symptoms and FA in the cingulum and uncinate fasciculus. Parent- but not child-reported anxiety symptoms predicted lower cingulum FA, and this effect was moderated by pubertal stage, such that this association was only significant for prepubertal girls. Neither anxiety nor pubertal stage predicted uncinate fasciculus FA. These findings suggest that anxiety is associated with disruptions in girls' cingulum white matter microstructure and that this relationship undergoes maturational changes during puberty.
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Affiliation(s)
- Dana E. Glenn
- grid.266097.c0000 0001 2222 1582Department of Psychology, University of California, Riverside, 900 University Avenue, Riverside, CA 92521 USA
| | - Jenna L. Merenstein
- grid.266097.c0000 0001 2222 1582Department of Psychology, University of California, Riverside, 900 University Avenue, Riverside, CA 92521 USA ,grid.26009.3d0000 0004 1936 7961Brain Imaging and Analysis Center, Duke University, Durham, NC USA
| | - Ilana J. Bennett
- grid.266097.c0000 0001 2222 1582Department of Psychology, University of California, Riverside, 900 University Avenue, Riverside, CA 92521 USA
| | - Kalina J. Michalska
- grid.266097.c0000 0001 2222 1582Department of Psychology, University of California, Riverside, 900 University Avenue, Riverside, CA 92521 USA
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2
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Theta but not beta activity is modulated by freedom of choice during action selection. Sci Rep 2022; 12:9115. [PMID: 35650241 PMCID: PMC9160249 DOI: 10.1038/s41598-022-13318-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 05/16/2022] [Indexed: 11/08/2022] Open
Abstract
Large-scale neurophysiological markers of action competition have been almost exclusively investigated in the context of instructed choices, hence it remains unclear whether these markers also apply to free choices. This study aimed to compare the specific brain dynamics underlying instructed and free decisions. Electroencephalography (EEG) was recorded while 31 participants performed a target selection task; the choice relied either on stimulus-response mappings (instructed) or on participants' preferences (free). Choice difficulty was increased by introducing distractors in the informative stimulus in instructed choices, and by presenting targets with similar motor costs in free choices. Results revealed that increased decision difficulty was associated with higher reaction times (RTs) in instructed choices and greater choice uncertainty in free choices. Midfrontal EEG theta (4-8 Hz) power increased with difficulty in instructed choices, but not in free choices. Although sensorimotor beta (15-30 Hz) power was correlated with RTs, it was not significantly influenced by choice context or difficulty. These results suggest that midfrontal theta power may specifically increase with difficulty in externally-driven choices, whereas sensorimotor beta power may be predictive of RTs in both externally- and internally-driven choices.
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Attentional control abnormalities in posttraumatic stress disorder: Functional, behavioral, and structural correlates. J Affect Disord 2019; 253:343-351. [PMID: 31078834 PMCID: PMC6857173 DOI: 10.1016/j.jad.2019.04.098] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2018] [Revised: 02/19/2019] [Accepted: 04/30/2019] [Indexed: 11/24/2022]
Abstract
BACKGROUND Attentional disruptions are common in PTSD, but findings across neuropsychological and neuroimaging studies have been variable. Few PTSD studies have investigated abnormalities in attention networks using a multi-modal imaging approach and attentional tasks that include emotionally-salient images. This study combined a behavioral task that included these images (emotional Stroop) with functional and structural neuroimaging (fMRI and diffusion tensor imaging; DTI) methods to comprehensively investigate attentional control abnormalities in a highly-traumatized civilian sample. METHODS 48 traumatized women with and without PTSD received clinical assessments, fMRI and DTI. During fMRI, the Affective Stroop (AS), an attentional control task that includes emotionally-salient distractor images (trauma-relevant, positive, neutral) and variable task demands, was administered. RESULTS In response to more difficult AS trials, participants with PTSD demonstrated lower activation in the dorsal and rostral anterior cingulate cortex and greater activation in the insula. This group also showed comparatively poorer performance on positive AS distractor trials, even after adjusting for trauma exposure. Performance on these trials inversely correlated with structural integrity of the cingulum bundle and uncinate fasciculus. CONCLUSIONS Even after adjusting for trauma exposure, participants with PTSD showed worse performance on an attentional control task in the context of emotional stimuli. They also showed relatively lower cognitive control network activation and greater salience network activation. Fronto-parietal and fronto-limbic white matter connectivity corresponded with AS performance. Our findings indicate that attentional control impairments in PTSD are most evident in the context of emotional cues, and are related to decrements in function and structure of cognitive control and salience networks.
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Sobczak-Edmans M, Lo YC, Hsu YC, Chen YJ, Kwok FY, Chuang KH, Tseng WYI, Chen SHA. Cerebro-Cerebellar Pathways for Verbal Working Memory. Front Hum Neurosci 2019; 12:530. [PMID: 30670957 PMCID: PMC6333010 DOI: 10.3389/fnhum.2018.00530] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Accepted: 12/13/2018] [Indexed: 11/26/2022] Open
Abstract
The current study examined the structural and functional connectivity of the cerebro-cerebellar network of verbal working memory as proposed by Chen and Desmond (2005a). Diffusion spectrum imaging was employed to establish structural connectivity between cerebro-cerebellar regions co-activated during a verbal working memory task. The inferior frontal gyrus, inferior parietal lobule, pons, thalamus, superior cerebellum and inferior cerebellum were used as regions of interest to reconstruct and segment the contralateral white matter cerebro-cerebellar circuitry. The segmented pathways were examined further to establish the relationship between structural and effective connectivity as well as the relationship between structural connectivity and verbal working memory performance. No direct relationship between structural and effective connectivity was found but the results demonstrated that structural connectivity is indirectly related to effective connectivity as DCM models that resembled more closely with underlying white matter pathways had a higher degree of model inference confidence. Additionally, it was demonstrated that the structural connectivity of the ponto-cerebellar tract was associated with individual differences in response time for verbal working memory. The findings of the study contribute to further our understanding of the relationship between structural and functional connectivity and the impact of variability in verbal working memory performance.
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Affiliation(s)
| | - Yu-Chun Lo
- Graduate Institute of Neural Regenerative Medicine, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.,Institute of Medical Device and Imaging, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Yung-Chin Hsu
- Institute of Medical Device and Imaging, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Yu-Jen Chen
- Institute of Medical Device and Imaging, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Fu Yu Kwok
- Centre for Research in Child Development, National Institute of Education, Nanyang Technological University, Singapore, Singapore
| | - Kai-Hsiang Chuang
- The Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia.,The Centre for Advanced Imaging, The University of Queensland, Brisbane, QLD, Australia
| | - Wen-Yih Isaac Tseng
- Institute of Medical Device and Imaging, National Taiwan University College of Medicine, Taipei, Taiwan.,Institute of Brain and Mind Sciences, National Taiwan University College of Medicine, Taipei, Taiwan.,Department of Radiology, National Taiwan University College of Medicine, Taipei, Taiwan.,Molecular Imaging Center, National Taiwan University, Taipei, Taiwan
| | - S H Annabel Chen
- Psychology, School of Social Sciences, Nanyang Technological University, Singapore, Singapore.,Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.,Centre for Research and Development in Learning, Nanyang Technological University, Singapore, Singapore
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Waugh JL, Kuster JK, Makhlouf ML, Levenstein JM, Multhaupt-Buell TJ, Warfield SK, Sharma N, Blood AJ. A registration method for improving quantitative assessment in probabilistic diffusion tractography. Neuroimage 2019; 189:288-306. [PMID: 30611874 DOI: 10.1016/j.neuroimage.2018.12.057] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2017] [Revised: 12/26/2018] [Accepted: 12/28/2018] [Indexed: 01/07/2023] Open
Abstract
Diffusion MRI-based probabilistic tractography is a powerful tool for non-invasively investigating normal brain architecture and alterations in structural connectivity associated with disease states. Both voxelwise and region-of-interest methods of analysis are capable of integrating population differences in tract amplitude (streamline count or density), given proper alignment of the tracts of interest. However, quantification of tract differences (between groups, or longitudinally within individuals) has been hampered by two related features of white matter. First, it is unknown to what extent healthy individuals differ in the precise location of white matter tracts, and to what extent experimental factors influence perceived tract location. Second, white matter lacks the gross neuroanatomical features (e.g., gyri, histological subtyping) that make parcellation of grey matter plausible - determining where tracts "should" lie within larger white matter structures is difficult. Accurately quantifying tractographic connectivity between individuals is thus inherently linked to the difficulty of identifying and aligning precise tract location. Tractography is often utilized to study neurological diseases in which the precise structural and connectivity abnormalities are unknown, underscoring the importance of accounting for individual differences in tract location when evaluating the strength of structural connectivity. We set out to quantify spatial variance in tracts aligned through a standard, whole-brain registration method, and to assess the impact of location mismatch on groupwise assessments of tract amplitude. We then developed a method for tract alignment that enhances the existing standard whole brain registration, and then tested whether this method improved the reliability of groupwise contrasts. Specifically, we conducted seed-based probabilistic diffusion tractography from primary motor, supplementary motor, and visual cortices, projecting through the corpus callosum. Streamline counts decreased rapidly with movement from the tract center (-35% per millimeter); tract misalignment of a few millimeters caused substantial compromise of amplitude comparisons. Alignment of tracts "peak-to-peak" is essential for accurate amplitude comparisons. However, for all transcallosal tracts registered through the whole-brain method, the mean separation distance between an individual subject's tract and the average tract (3.2 mm) precluded accurate comparison: at this separation, tract amplitudes were reduced by 74% from peak value. In contrast, alignment of subcortical tracts (thalamo-putaminal, pallido-rubral) was substantially better than alignment for cortical tracts; whole-brain registration was sufficient for these subcortical tracts. We demonstrated that location mismatches in cortical tractography were sufficient to produce false positive and false negative amplitude estimates in both groupwise and longitudinal comparisons. We then showed that our new tract alignment method substantially reduced location mismatch and improved both reliability and statistical power of subsequent quantitative comparisons.
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Affiliation(s)
- J L Waugh
- Mood and Motor Control Laboratory, Massachusetts General Hospital, Charlestown, MA, United States; Dept. of Neurology, Massachusetts General Hospital, Boston, MA, United States; Division of Child Neurology, Boston Children's Hospital, United States; Harvard Medical School, Boston, MA, United States; Martinos Center for Biomedical Imaging, MGH, Charlestown, MA, United States.
| | - J K Kuster
- Mood and Motor Control Laboratory, Massachusetts General Hospital, Charlestown, MA, United States; Dept. Psychiatry, Massachusetts General Hospital, Boston, MA, United States; Martinos Center for Biomedical Imaging, MGH, Charlestown, MA, United States.
| | - M L Makhlouf
- Mood and Motor Control Laboratory, Massachusetts General Hospital, Charlestown, MA, United States; Dept. Psychiatry, Massachusetts General Hospital, Boston, MA, United States; Harvard-MIT HST Program, United States; Martinos Center for Biomedical Imaging, MGH, Charlestown, MA, United States.
| | - J M Levenstein
- Mood and Motor Control Laboratory, Massachusetts General Hospital, Charlestown, MA, United States; Dept. Psychiatry, Massachusetts General Hospital, Boston, MA, United States; Martinos Center for Biomedical Imaging, MGH, Charlestown, MA, United States.
| | - T J Multhaupt-Buell
- Dept. of Neurology, Massachusetts General Hospital, Boston, MA, United States.
| | - S K Warfield
- Department of Radiology, Boston Children's Hospital, United States; Harvard Medical School, Boston, MA, United States.
| | - N Sharma
- Dept. of Neurology, Massachusetts General Hospital, Boston, MA, United States; Department of Neurology, Brigham and Women's Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States.
| | - A J Blood
- Mood and Motor Control Laboratory, Massachusetts General Hospital, Charlestown, MA, United States; Laboratory of Neuroimaging and Genetics, Massachusetts General Hospital, Charlestown, MA, United States; Dept. Psychiatry, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States; Martinos Center for Biomedical Imaging, MGH, Charlestown, MA, United States.
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"Practice makes perfect?" white matter microstructural characteristic predicts the degree of improvement in within-trial conflict processing across two weeks. Brain Imaging Behav 2018; 13:841-851. [PMID: 29987633 DOI: 10.1007/s11682-018-9908-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
Several studies have investigated the trait-like characteristics of conflict processing at different levels. Our study extends these findings by reporting a practice-based improvement in within-trial conflict processing across two sessions. Eighty-three participants performed the same flanker task on two occasions 2 weeks apart. A subset of 37 subjects also underwent diffusion tensor imaging (DTI) scanning the day before the first behavioral task. Despite the trait-like characteristics of conflict processing, within-trial conflict processing in the second behavioral session was significantly shorter than that in the first session, indicating a practice-based improvement in conflict processing. Furthermore, changes in within-trial conflict processing across the two sessions exhibited significant individual differences. Tract-based spatial statistics revealed that the improvement across two sessions was related to the axial diffusivity values in white matter regions, including the body and splenium of the corpus callosum, right superior and posterior corona radiate, and right superior longitudinal fasciculus. Subsequently, lasso regression with leave-one-out cross validation was used to assess the predictive ability of white matter microstructural characteristics in significant regions. The results showed that 61% of individual variability in the improvement in the within-trial conflict processing could be explained by variations in the axial diffusivity values in the four significant regions and the within-trial conflict processing in the first session. These results suggest that axonal morphology in the white tracts connecting conflict-related regions predicts the degree of within-trial conflict processing improvement across two sessions.
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Wu Y, Sun D, Wang Y, Wang Y, Ou S. Segmentation of the Cingulum Bundle in the Human Brain: A New Perspective Based on DSI Tractography and Fiber Dissection Study. Front Neuroanat 2016; 10:84. [PMID: 27656132 PMCID: PMC5013069 DOI: 10.3389/fnana.2016.00084] [Citation(s) in RCA: 76] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2016] [Accepted: 08/17/2016] [Indexed: 11/24/2022] Open
Abstract
The cingulum bundle (CB) is a critical white matter fiber tract in the brain, which forms connections between the frontal lobe, parietal lobe and temporal lobe. In non-human primates, the CB is actually divided into distinct subcomponents on the basis of corticocortical connections. However, at present, no study has verified similar distinct subdivisions in the human brain. In this study, we reconstructed these distinct subdivisions in the human brain, and determined their exact cortical connections using high definition fiber tracking (HDFT) technique on 10 healthy adults and a 488-subject template from the Human Connectome Project (HCP-488). Fiber dissections were performed to verify tractography results. Five CB segments were identified. CB-I ran from the subrostral areas to the precuneus and splenium, encircling the corpus callosum (CC). CB-II arched around the splenium and extended anteriorly above the CC to the medial aspect of the superior frontal gyrus (SFG). CB-III connected the superior parietal lobule (SPL) and precuneus with the medial aspect of the SFG. CB-IV was a relatively minor subcomponent from the SPL and precuneus to the frontal region. CB-V, the para-hippocampal cingulum, stemmed from the medial temporal lobe and fanned out to the occipital lobes. Our findings not only provide a more accurate and detailed description on the associated architecture of the subcomponents within the CB, but also offer new insights into the functional role of the CB in the human brain.
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Affiliation(s)
- Yupeng Wu
- Department of Neurosurgery, The First Affiliated Hospital of China Medical University Shenyang, China
| | - Dandan Sun
- Department of Cardiovascular Ultrasound, The First Affiliated Hospital of China Medical University Shenyang, China
| | - Yong Wang
- Department of Neurosurgery, The First Affiliated Hospital of China Medical University Shenyang, China
| | - Yibao Wang
- Department of Neurosurgery, The First Affiliated Hospital of China Medical University Shenyang, China
| | - Shaowu Ou
- Department of Neurosurgery, The First Affiliated Hospital of China Medical University Shenyang, China
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Hertrich I, Dietrich S, Ackermann H. The role of the supplementary motor area for speech and language processing. Neurosci Biobehav Rev 2016; 68:602-610. [PMID: 27343998 DOI: 10.1016/j.neubiorev.2016.06.030] [Citation(s) in RCA: 155] [Impact Index Per Article: 19.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2015] [Revised: 06/17/2016] [Accepted: 06/21/2016] [Indexed: 01/23/2023]
Abstract
Apart from its function in speech motor control, the supplementary motor area (SMA) has largely been neglected in models of speech and language processing in the brain. The aim of this review paper is to summarize more recent work, suggesting that the SMA has various superordinate control functions during speech communication and language reception, which is particularly relevant in case of increased task demands. The SMA is subdivided into a posterior region serving predominantly motor-related functions (SMA proper) whereas the anterior part (pre-SMA) is involved in higher-order cognitive control mechanisms. In analogy to motor triggering functions of the SMA proper, the pre-SMA seems to manage procedural aspects of cognitive processing. These latter functions, among others, comprise attentional switching, ambiguity resolution, context integration, and coordination between procedural and declarative memory structures. Regarding language processing, this refers, for example, to the use of inner speech mechanisms during language encoding, but also to lexical disambiguation, syntax and prosody integration, and context-tracking.
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Affiliation(s)
- Ingo Hertrich
- Department of Neurology and Stroke, Hertie Institute for Clinical Brain Research, University of Tübingen, Germany.
| | - Susanne Dietrich
- Department of Neurology and Stroke, Hertie Institute for Clinical Brain Research, University of Tübingen, Germany
| | - Hermann Ackermann
- Department of Neurology and Stroke, Hertie Institute for Clinical Brain Research, University of Tübingen, Germany
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Yamamoto M, Kushima I, Kimura H, Hayashi A, Kawano N, Aleksic B, Iidaka T, Ozaki N. White matter microstructure between the pre-SMA and the cingulum bundle is related to response conflict in healthy subjects. Brain Behav 2015; 5:e00375. [PMID: 26516610 PMCID: PMC4614048 DOI: 10.1002/brb3.375] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2015] [Revised: 07/23/2015] [Accepted: 07/24/2015] [Indexed: 11/06/2022] Open
Abstract
INTRODUCTION Response conflict involves selectively attending to relevant information and suppressing distracting, irrelevant information. The medial frontal cortex (MFC) is considered to be involved in response conflict. However, it remains unclear which white matter connectivity is associated with response conflict. This study aimed to delineate the neural connectivity of response conflict in healthy subjects and investigate the association between white matter microstructure and performance of a response conflict task. METHOD Twenty-eight healthy subjects underwent functional magnetic resonance imaging (fMRI) during the Flanker task and diffusion MRI. We identified the presupplementary motor area (pre-SMA) using fMRI. Furthermore, we delineated the white matter connectivity between the pre-SMA and the cingulum bundle (CB), which is located in the MFC, using probabilistic tractography. We calculated the mean diffusivity (MD), index of white matter microstructure, of this tract and evaluate the association between MD and performance of the Flanker task. RESULT The mean MD of this tract was significantly and positively associated with performance of the Flanker task. CONCLUSION The present study suggests the white matter connectivity between the pre-SMA and the CB is related to the response conflict in healthy subjects and finer white matter microstructure is associated with smaller response conflict.
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Affiliation(s)
- Maeri Yamamoto
- Department of Psychiatry Graduate School of Medicine Nagoya University Nagoya Aichi Japan
| | - Itaru Kushima
- Department of Psychiatry Graduate School of Medicine Nagoya University Nagoya Aichi Japan ; Institute for Advanced Research Nagoya University Nagoya Aichi Japan
| | - Hiroki Kimura
- Department of Psychiatry Graduate School of Medicine Nagoya University Nagoya Aichi Japan
| | - Akiko Hayashi
- Department of Psychiatry Graduate School of Medicine Nagoya University Nagoya Aichi Japan
| | - Naoko Kawano
- Department of Psychiatry Graduate School of Medicine Nagoya University Nagoya Aichi Japan ; Institute of Innovation for Future Society Nagoya University Nagoya Aichi Japan
| | - Branko Aleksic
- Department of Psychiatry Graduate School of Medicine Nagoya University Nagoya Aichi Japan
| | - Tetsuya Iidaka
- Department of Psychiatry Graduate School of Medicine Nagoya University Nagoya Aichi Japan
| | - Norio Ozaki
- Department of Psychiatry Graduate School of Medicine Nagoya University Nagoya Aichi Japan
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