Literature DB >> 30827796

Brain Modularity: A Biomarker of Intervention-related Plasticity.

Courtney L Gallen1, Mark D'Esposito2.   

Abstract

Interventions using methods such as cognitive training and aerobic exercise have shown potential to enhance cognitive abilities. However, there is often pronounced individual variability in the magnitude of these gains. Here, we propose that brain network modularity, a measure of brain subnetwork segregation, is a unifying biomarker of intervention-related plasticity. We present work from multiple independent studies demonstrating that individual differences in baseline brain modularity predict gains in cognitive control functions across several populations and interventions, spanning healthy adults to patients with clinical deficits and cognitive training to aerobic exercise. We believe that this predictive framework provides a foundation for developing targeted, personalized interventions to improve cognition.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  brain injury; cognitive control; cognitive training; executive function; functional connectivity; graph theory

Year:  2019        PMID: 30827796      PMCID: PMC6750199          DOI: 10.1016/j.tics.2019.01.014

Source DB:  PubMed          Journal:  Trends Cogn Sci        ISSN: 1364-6613            Impact factor:   20.229


  78 in total

1.  Anatomical connectivity defines the organization of clusters of cortical areas in the macaque monkey and the cat.

Authors:  C C Hilgetag; G A Burns; M A O'Neill; J W Scannell; M P Young
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2000-01-29       Impact factor: 6.237

2.  Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain.

Authors:  N Tzourio-Mazoyer; B Landeau; D Papathanassiou; F Crivello; O Etard; N Delcroix; B Mazoyer; M Joliot
Journal:  Neuroimage       Date:  2002-01       Impact factor: 6.556

3.  Modularity and cognition.

Authors: 
Journal:  Trends Cogn Sci       Date:  1999-03       Impact factor: 20.229

4.  Finding and evaluating community structure in networks.

Authors:  M E J Newman; M Girvan
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2004-02-26

5.  Functional cartography of complex metabolic networks.

Authors:  Roger Guimerà; Luís A Nunes Amaral
Journal:  Nature       Date:  2005-02-24       Impact factor: 49.962

6.  Spontaneous evolution of modularity and network motifs.

Authors:  Nadav Kashtan; Uri Alon
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-20       Impact factor: 11.205

Review 7.  The plastic human brain cortex.

Authors:  Alvaro Pascual-Leone; Amir Amedi; Felipe Fregni; Lotfi B Merabet
Journal:  Annu Rev Neurosci       Date:  2005       Impact factor: 12.449

8.  Modularity and community structure in networks.

Authors:  M E J Newman
Journal:  Proc Natl Acad Sci U S A       Date:  2006-05-24       Impact factor: 11.205

9.  Optimization by simulated annealing.

Authors:  S Kirkpatrick; C D Gelatt; M P Vecchi
Journal:  Science       Date:  1983-05-13       Impact factor: 47.728

10.  Long-term effects of cognitive training on everyday functional outcomes in older adults.

Authors:  Sherry L Willis; Sharon L Tennstedt; Michael Marsiske; Karlene Ball; Jeffrey Elias; Kathy Mann Koepke; John N Morris; George W Rebok; Frederick W Unverzagt; Anne M Stoddard; Elizabeth Wright
Journal:  JAMA       Date:  2006-12-20       Impact factor: 56.272

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  26 in total

1.  Brain network modularity predicts cognitive training-related gains in young adults.

Authors:  Pauline L Baniqued; Courtney L Gallen; Michael B Kranz; Arthur F Kramer; Mark D'Esposito
Journal:  Neuropsychologia       Date:  2019-05-25       Impact factor: 3.139

2.  Are individual differences in human brain organization measured with functional MRI meaningful?

Authors:  Mark D'Esposito
Journal:  Proc Natl Acad Sci U S A       Date:  2019-10-16       Impact factor: 11.205

3.  The Role of Exercise in Management of Mental Health Disorders: An Integrative Review.

Authors:  Patrick J Smith; Rhonda M Merwin
Journal:  Annu Rev Med       Date:  2020-11-30       Impact factor: 13.739

Review 4.  The role of PFC networks in cognitive control and executive function.

Authors:  Vinod Menon; Mark D'Esposito
Journal:  Neuropsychopharmacology       Date:  2021-08-18       Impact factor: 7.853

5.  Leveraging technology to personalize cognitive enhancement methods in aging.

Authors:  David A Ziegler; Joaquin A Anguera; Courtney L Gallen; Wan-Yu Hsu; Peter E Wais; Adam Gazzaley
Journal:  Nat Aging       Date:  2022-06-17

Review 6.  Getting Fit to Counteract Cognitive Aging: Evidence and Future Directions.

Authors:  Michelle W Voss; Shivangi Jain
Journal:  Physiology (Bethesda)       Date:  2022-01-10

7.  Emerging neurodevelopmental perspectives on mathematical learning.

Authors:  Vinod Menon; Hyesang Chang
Journal:  Dev Rev       Date:  2021-05-03

8.  Brain network modularity predicts changes in cortical thickness in children involved in a physical activity intervention.

Authors:  Laura Chaddock-Heyman; Timothy B Weng; Psyche Loui; Caitlin Kienzler; Robert Weisshappel; Eric S Drollette; Lauren B Raine; Daniel Westfall; Shih-Chun Kao; Dominika M Pindus; Pauline Baniqued; Darla M Castelli; Charles H Hillman; Arthur F Kramer
Journal:  Psychophysiology       Date:  2021-07-04       Impact factor: 4.348

9.  Brain Network Segregation and Glucose Energy Utilization: Relevance for Age-Related Differences in Cognitive Function.

Authors:  Peter Manza; Corinde E Wiers; Ehsan Shokri-Kojori; Danielle Kroll; Dana Feldman; Melanie Schwandt; Gene-Jack Wang; Dardo Tomasi; Nora D Volkow
Journal:  Cereb Cortex       Date:  2020-10-01       Impact factor: 5.357

10.  Segregation, integration, and balance of large-scale resting brain networks configure different cognitive abilities.

Authors:  Rong Wang; Mianxin Liu; Xinhong Cheng; Ying Wu; Andrea Hildebrandt; Changsong Zhou
Journal:  Proc Natl Acad Sci U S A       Date:  2021-06-08       Impact factor: 11.205

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