Recent advances in understanding neural correlates of anxiety disorders in children and adolescents

被引:9
作者
Zugman, Andre [1 ]
Winkler, Anderson M. [1 ]
Pine, Daniel S. [1 ]
机构
[1] NIMH, Sect Dev & Affect Neurosci, Emot & Dev Branch, NIH, Bethesda, MD 20892 USA
关键词
anxiety; childhood; fear; MRI; neuroimaging; CONNECTOME; PREVALENCE; CHILDHOOD; CIRCUITS; CHALLENGES; BEHAVIOR; DESIGN; COHORT; RISK;
D O I
10.1097/YCO.0000000000000743
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
Purpose of review Anxiety disorders are some of the most common psychiatric diagnoses in children and adolescents, but attempts to improve outcome prediction and treatment have stalled. This review highlights recent findings on neural indices related to fear and anxiety that provide novel directions for attempts to create such improvements. Recent findings Stimuli capable of provoking fear engage many brain regions, including the amygdala, medial prefrontal cortex, hippocampus, and bed nucleus of the stria terminalis. Studies in rodents suggest that sustained, low-level threats are particularly likely to engage the bed nucleus of the stria terminalis, which appears to malfunction in anxiety disorders. However, anxiety disorders, like most mental illnesses, appear less likely to arise from alterations in isolated brain regions than in distributed brain circuitry. Findings from large-scale studies of brain connectivity may reveal signs of such broadly distributed dysfunction, though available studies report small effect sizes. Finally, we review novel approaches with promise for using such large-scale data to detect clinically relevant, broadly distributed circuitry dysfunction. Recent work maps neural circuitry related to fear and anxiety. This circuitry may malfunction in anxiety disorders. Integrating findings from animal studies, big datasets, and novel analytical approaches may generate clinically relevant insights based on this recent work.
引用
收藏
页码:617 / 623
页数:7
相关论文
共 50 条
  • [1] Synchronized Activity between the Ventral Hippocampus and the Medial Prefrontal Cortex during Anxiety
    Adhikari, Avishek
    Topiwala, Mihir A.
    Gordon, Joshua A.
    [J]. NEURON, 2010, 65 (02) : 257 - 269
  • [2] Confound modelling in UK Biobank brain imaging
    Alfaro-Almagro, Fidel
    McCarthy, Paul
    Afyouni, Soroosh
    Andersson, Jesper L. R.
    Bastiani, Matteo
    Miller, Karla L.
    Nichols, Thomas E.
    Smith, Stephen M.
    [J]. NEUROIMAGE, 2021, 224
  • [3] Best Practices in Structural Neuroimaging of Neurodevelopmental Disorders
    Backhausen, Lea L.
    Herting, Megan M.
    Tamnes, Christian K.
    Vetter, Nora C.
    [J]. NEUROPSYCHOLOGY REVIEW, 2022, 32 (02) : 400 - 418
  • [4] Patients with anxiety disorders rely on bilateral dlPFC activation during verbal working memory
    Balderston, Nicholas L.
    Flook, Elizabeth
    Hsiung, Abigail
    Liu, Jeffrey
    Thongarong, Amanda
    Stahl, Sara
    Makhoul, Walid
    Sheline, Yvette
    Ernst, Monique
    Grillon, Christian
    [J]. SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE, 2020, 15 (12) : 1288 - 1298
  • [5] ENIGMA-anxietyworking group: Rationale for and organization oflarge-scaleneuroimaging studies of anxiety disorders
    Bas-Hoogendam, Janna Marie
    Groenewold, Nynke A.
    Aghajani, Moji
    Freitag, Gabrielle F.
    Harrewijn, Anita
    Hilbert, Kevin
    Jahanshad, Neda
    Thomopoulos, Sophia I.
    Thompson, Paul M.
    Veltman, Dick J.
    Winkler, Anderson M.
    Lueken, Ulrike
    Pine, Daniel S.
    van der Wee, Nic J. A.
    Stein, Dan J.
    [J]. HUMAN BRAIN MAPPING, 2022, 43 (01) : 83 - 112
  • [6] Prevalence and description of selective mutism in a school-based sample
    Bergman, RL
    Piacentini, J
    McCracken, J
    [J]. JOURNAL OF THE AMERICAN ACADEMY OF CHILD AND ADOLESCENT PSYCHIATRY, 2002, 41 (08) : 938 - 946
  • [7] Anterior cingulate activation to implicit threat before and after treatment for pediatric anxiety disorders
    Burkhouse, Katie L.
    Kujawa, Autumn
    Hosseini, Bobby
    Klumpp, Heide
    Fitzgerald, Kate D.
    Langenecker, Scott A.
    Monk, Christopher S.
    Phan, K. Luan
    [J]. PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY, 2018, 84 : 250 - 256
  • [8] Inference and Prediction Diverge in Biomedicine
    Bzdok, Danilo
    Engemann, Denis
    Thirion, Bertrand
    [J]. PATTERNS, 2020, 1 (08):
  • [9] Towards algorithmic analytics for large-scale datasets
    Bzdok, Danilo
    Nichols, Thomas E.
    Smith, Stephen M.
    [J]. NATURE MACHINE INTELLIGENCE, 2019, 1 (07) : 296 - 306
  • [10] The Adolescent Brain Cognitive Development (ABCD) study: Imaging acquisition across 21 sites
    Casey, B. J.
    Cannonier, Tariq
    Conley, May I.
    Cohen, Alexandra O.
    Barch, Deanna M.
    Heitzeg, Mary M.
    Soules, Mary E.
    Teslovich, Theresa
    Dellarco, Danielle V.
    Garavan, Hugh
    Orr, Catherine A.
    Wager, Tor D.
    Banich, Marie T.
    Speer, Nicole K.
    Sutherland, Matthew T.
    Riedel, Michael C.
    Dick, Anthony S.
    Bjork, James M.
    Thomas, Kathleen M.
    Chaarani, Bader
    Mejia, Margie H.
    Hagler, Donald J., Jr.
    Cornejo, M. Daniela
    Sicat, Chelsea S.
    Harms, Michael P.
    Dosenbach, Nico U. F.
    Rosenberg, Monica
    Earl, Eric
    Bartsch, Hauke
    Watts, Richard
    Polimeni, Jonathan R.
    Kuperman, Joshua M.
    Fair, Damien A.
    Dale, Anders M.
    [J]. DEVELOPMENTAL COGNITIVE NEUROSCIENCE, 2018, 32 : 43 - 54