Clinical Concepts Emerging from fMRI Functional Connectomics

被引:60
作者
Matthews, Paul M. [1 ,2 ]
Hampshire, Adam [1 ,2 ]
机构
[1] Imperial Coll London, Dept Med, Div Brain Sci, London WC12 0NN, England
[2] Imperial Coll London, Ctr Neurotechnol, London WC12 0NN, England
基金
英国医学研究理事会;
关键词
RESTING-STATE NETWORKS; PREDICTS INDIVIDUAL-DIFFERENCES; GRAPH-THEORETICAL ANALYSIS; SMALL VESSEL DISEASE; BRAIN ACTIVITY; ALZHEIMERS-DISEASE; COGNITIVE IMPAIRMENT; DETECTING AWARENESS; ATTENTIONAL CONTROL; AUTOSOMAL-DOMINANT;
D O I
10.1016/j.neuron.2016.07.031
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Recent advances in connectomics have led to a synthesis of perspectives regarding the brain's functional organization that reconciles classical concepts of localized specialization with an appreciation for properties that emerge from interactions across distributed functional networks. This provides a more comprehensive framework for understanding neural mechanisms of normal cognition and disease. Although fMRI has not become a routine clinical tool, research has already had important influences on clinical concepts guiding diagnosis and patient management. Here we review illustrative examples. Studies demonstrating the network plasticity possible in adults and the global consequences of even focal brain injuries or disease both have had substantial impact on modern concepts of disease evolution and expression. Applications of functional connectomics in studies of clinical populations are challenging traditional disease classifications and helping to clarify biological relationships between clinical syndromes (and thus also ways of extending indications for, or "re-purposing," current treatments). Large datasets from prospective, longitudinal studies promise to enable the discovery and validation of functional connectomic biomarkers with the potential to identify people at high risk of disease before clinical onset, at a time when treatments may be most effective. Studies of pain and consciousness have catalyzed reconsiderations of approaches to clinical management, but also have stimulated debate about the clinical meaningfulness of differences in internal perceptual or cognitive states inferred from functional connectomics or other physiological correlates. By way of a closing summary, we offer a personal view of immediate challenges and potential opportunities for clinically relevant applications of fMRI-based functional connectomics.
引用
收藏
页码:511 / 528
页数:18
相关论文
共 169 条
  • [1] Hybrid PET/MR Imaging and Brain Connectivity
    Aiello, Marco
    Cavaliere, Carlo
    Salvatore, Marco
    [J]. FRONTIERS IN NEUROSCIENCE, 2016, 10
  • [2] Characteristics of Resting-State Functional Connectivity in HIV-Associated Neurocognitive Disorder
    Ann, Hea Won
    Jun, Suhnyoung
    Shin, Na-Young
    Han, Sanghoon
    Ahn, Jin Young
    Ahn, Mi Young
    Jeon, Yong Duk
    Jung, In Young
    Kim, Moo Hyun
    Jeong, Woo Yong
    Ku, Nam Su
    Kim, June Myung
    Smith, Davey M.
    Choi, Jun Yong
    [J]. PLOS ONE, 2016, 11 (04):
  • [3] Fast transient networks in spontaneous human brain activity
    Baker, Adam P.
    Brookes, Matthew J.
    Rezek, Iead A.
    Smith, Stephen M.
    Behrens, Timothy
    Smith, Penny J. Probert
    Woolrich, Mark
    [J]. ELIFE, 2014, 3
  • [4] Functional Reorganization of the Default Mode Network across Chronic Pain Conditions
    Baliki, Marwan N.
    Mansour, Ali R.
    Baria, Alex T.
    Apkarian, A. Vania
    [J]. PLOS ONE, 2014, 9 (09):
  • [5] Function in the human connectome: Task-fMRI and individual differences in behavior
    Barch, Deanna M.
    Burgess, Gregory C.
    Harms, Michael P.
    Petersen, Steven E.
    Schlaggar, Bradley L.
    Corbetta, Maurizio
    Glasser, Matthew F.
    Curtiss, Sandra
    Dixit, Sachin
    Feldt, Cindy
    Nolan, Dan
    Bryant, Edward
    Hartley, Tucker
    Footer, Owen
    Bjork, James M.
    Poldrack, Russ
    Smith, Steve
    Johansen-Berg, Heidi
    Snyder, Abraham Z.
    Van Essen, David C.
    [J]. NEUROIMAGE, 2013, 80 : 169 - 189
  • [6] Linking human brain local activity fluctuations to structural and functional network architectures
    Baria, A. T.
    Mansour, A.
    Huang, L.
    Baliki, M. N.
    Cecchi, G. A.
    Mesulam, M. M.
    Apkarian, A. V.
    [J]. NEUROIMAGE, 2013, 73 : 144 - 155
  • [7] Probabilistic independent component analysis for functional magnetic resonance imaging
    Beckmann, CF
    Smith, SA
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 2004, 23 (02) : 137 - 152
  • [8] The criticality hypothesis: how local cortical networks might optimize information processing
    Beggs, John M.
    [J]. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2008, 366 (1864): : 329 - 343
  • [9] Heritability of Working Memory Brain Activation
    Blokland, Gabriella A. M.
    McMahon, Katie L.
    Thompson, Paul M.
    Martin, Nicholas G.
    de Zubicaray, Greig I.
    Wright, Margaret J.
    [J]. JOURNAL OF NEUROSCIENCE, 2011, 31 (30) : 10882 - 10890
  • [10] Use of functional imaging across clinical phases in CNS drug development
    Borsook, D.
    Becerra, L.
    Fava, M.
    [J]. TRANSLATIONAL PSYCHIATRY, 2013, 3 : e282 - e282