4.8 Article

Metabolism modulates network synchrony in the aging brain

Publisher

NATL ACAD SCIENCES
DOI: 10.1073/pnas.2025727118

Keywords

fMRI; aging; neurometabolism; synchrony; criticality

Funding

  1. W. M. Keck Foundation
  2. NSF Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative Grants [ECCS1533257, NCS-FR 1926 781]
  3. Stony Brook University Laufer Center for Physical and Quantitative Biology

Ask authors/readers for more resources

Brain aging is characterized by hypometabolism and global changes in functional connectivity, leading to decreased network synchrony with age. Older brains are closer to a critical point of communication strength, where even small changes in metabolism can cause abrupt changes in network synchrony. Experimentally modulating metabolic activity in younger adults highlights the potential role of metabolism, independent of other aging-related changes, in reorganizing brain network topology.
Brain aging is associated with hypometabolism and global changes in functional connectivity. Using functional MRI (fMRI), we show that network synchrony, a collective property of brain activity, decreases with age. Applying quantitative methods from statistical physics, we provide a generative (Ising) model for these changes as a function of the average communication strength between brain regions. We find that older brains are closer to a critical point of this communication strength, in which even small changes in metabolism lead to abrupt changes in network synchrony. Finally, by experimentally modulating metabolic activity in younger adults, we show how metabolism alone-independent of other changes associated with aging-can provide a plausible candidate mechanism for marked reorganization of brain network topology.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Neurosciences

Clinically Anxious Individuals Show Disrupted Feedback between Inferior Frontal Gyrus and Prefrontal-Limbic Control Circuit

Jiook Cha, Daniel DeDora, Sanja Nedic, Jaime Ide, Tsafrir Greenberg, Greg Hajcak, Lilianne Rivka Mujica-Parodi

JOURNAL OF NEUROSCIENCE (2016)

Article Clinical Neurology

Lost emotion: Disrupted brain-based tracking of dynamic affective episodes in anxiety and depression

Joshua M. Carlson, Denis Rubin, Lilianne R. Mujica-Parodi

PSYCHIATRY RESEARCH-NEUROIMAGING (2017)

Article Neurosciences

Oxytocin attenuates trust as a subset of more general reinforcement learning, with altered reward circuit functional connectivity in males

Jaime S. Ide, Sanja Nedic, Kin F. Wong, Shmuel L. Strey, Elizabeth A. Lawson, Bradford C. Dickerson, Lawrence L. Wald, Giancarlo La Camera, Lilianne R. Mujica-Parodi

NEUROIMAGE (2018)

Article Multidisciplinary Sciences

Diet modulates brain network stability, abiomarker for brain aging, in young adults

Lilianne R. Mujica-Parodi, Anar Amgalan, Syed Fahad Sultan, Botond Antal, Xiaofei Sun, Steven Skiena, Andrew Lithen, Noor Adra, Eva-Maria Ratai, Corey Weistuch, Sindhuja Tirumalai Govindarajan, Helmut H. Strey, Ken A. Dill, Steven M. Stufflebeam, Richard L. Veech, Kieran Clarke

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2020)

Review Clinical Neurology

Making Sense of Computational Psychiatry

Lilianne R. Mujica-Parodi, Helmut H. Strey

INTERNATIONAL JOURNAL OF NEUROPSYCHOPHARMACOLOGY (2020)

Review Neurosciences

Mega-analysismethods inENIGMA: The experience of the generalized anxiety disorder working group

Andre Zugman, Anita Harrewijn, Elise M. Cardinale, Hannah Zwiebel, Gabrielle F. Freitag, Katy E. Werwath, Janna M. Bas-Hoogendam, Nynke A. Groenewold, Moji Aghajani, Kevin Hilbert, Narcis Cardoner, Daniel Porta-Casteras, Savannah Gosnell, Ramiro Salas, Karina S. Blair, James R. Blair, Mira Z. Hammoud, Mohammed Milad, Katie Burkhouse, K. Luan Phan, Heidi K. Schroeder, Jeffrey R. Strawn, Katja Beesdo-Baum, Sophia I. Thomopoulos, Hans J. Grabe, Sandra van der Auwera, Katharina Wittfeld, Jared A. Nielsen, Randy Buckner, Jordan W. Smoller, Benson Mwangi, Jair C. Soares, Mon-Ju Wu, Giovana B. Zunta-Soares, Andrea P. Jackowski, Pedro M. Pan, Giovanni A. Salum, Michal Assaf, Gretchen J. Diefenbach, Paolo Brambilla, Eleonora Maggioni, David Hofmann, Thomas Straube, Carmen Andreescu, Rachel Berta, Erica Tamburo, Rebecca Price, Gisele G. Manfro, Hugo D. Critchley, Elena Makovac, Matteo Mancini, Frances Meeten, Cristina Ottaviani, Federica Agosta, Elisa Canu, Camilla Cividini, Massimo Filippi, Milutin Kostic, Ana Munjiza, Courtney A. Filippi, Ellen Leibenluft, Bianca A. V. Alberton, Nicholas L. Balderston, Monique Ernst, Christian Grillon, Lilianne R. Mujica-Parodi, Helena van Nieuwenhuizen, Gregory A. Fonzo, Martin P. Paulus, Murray B. Stein, Raquel E. Gur, Ruben C. Gur, Antonia N. Kaczkurkin, Bart Larsen, Theodore D. Satterthwaite, Jennifer Harper, Michael Myers, Michael T. Perino, Qiongru Yu, Chad M. Sylvester, Dick J. Veltman, Ulrike Lueken, Nic J. A. van der Wee, Dan J. Stein, Neda Jahanshad, Paul M. Thompson, Daniel S. Pine, Anderson M. Winkler

Summary: The ENIGMA-Anxiety/GAD group is conducting a mega-analysis of brain structural scans for generalized anxiety disorder. This report summarizes the challenges faced and the approach taken to overcome them, aiming to guide other research groups working with large brain imaging data sets.

HUMAN BRAIN MAPPING (2022)

Review Neurosciences

ENIGMA-anxietyworking group: Rationale for and organization oflarge-scaleneuroimaging studies of anxiety disorders

Janna Marie Bas-Hoogendam, Nynke A. Groenewold, Moji Aghajani, Gabrielle F. Freitag, Anita Harrewijn, Kevin Hilbert, Neda Jahanshad, Sophia I. Thomopoulos, Paul M. Thompson, Dick J. Veltman, Anderson M. Winkler, Ulrike Lueken, Daniel S. Pine, Nic J. A. van der Wee, Dan J. Stein

Summary: Anxiety disorders are prevalent and disabling, but can be effectively studied using translational neuroscience methodologies. The ENIGMA-Anxiety Working Group aims to address the limitations of small sample sizes and heterogenous imaging methodology in anxiety disorders research, and generate more reliable and reproducible findings. The group has created a harmonized and coordinated effort to study different subtypes of anxiety disorders using neuroimaging data.

HUMAN BRAIN MAPPING (2022)

Article Biochemical Research Methods

Inferring a network from dynamical signals at its nodes

Corey Weistuch, Luca Agozzino, Lilianne R. Mujica-Parodi, Ken A. Dill

PLOS COMPUTATIONAL BIOLOGY (2020)

Article Neurosciences

Ground-truth resting-state signal provides data-driven estimation and correction for scanner distortion of fMRI time-series dynamics

Rajat Kumar, Liang Tan, Alan Kriegstein, Andrew Lithen, Jonathan R. Polimeni, Lilianne R. Mujica-Parodi, Helmut H. Strey

Summary: This study addresses the issue of noise in fMRI scans by introducing a dynamic phantom, comparing ground-truth time-series with fMRI data, and introducing new data-quality metrics. By training a convolutional neural network, researchers were able to effectively remove scanner-induced noise, improving the sensitivity of resting-state networks.

NEUROIMAGE (2021)

Article Pharmacology & Pharmacy

Development of an MRI-Compatible Nasal Drug Delivery Method for Probing Nicotine Addiction Dynamics

Rajat Kumar, Lilianne R. Mujica-Parodi, Michael Wenke, Anar Amgalan, Andrew Lithen, Sindhuja T. Govindarajan, Rany Makaryus, Helene Benveniste, Helmut H. Strey

Summary: This study presents an MRI-compatible nicotine delivery system to model nicotine addiction as a control system. They establish the viability of this delivery method for studying the brain's response to nicotine addiction and demonstrate its potential application in reliably identifying neuromodulatory targets for pharmacotherapy or brain stimulation. The method enables the measurement of neural circuit responses to drug doses on a single-subject level, aiding the development of data-driven predictive models for addiction research.

PHARMACEUTICS (2021)

Article Biology

Type 2 diabetes mellitus accelerates brain aging and cognitive decline: Complementary findings from UK Biobank and meta-analyses

Botond Antal, Liam P. McMahon, Syed Fahad Sultan, Andrew Lithen, Deborah J. Wexler, Bradford Dickerson, Eva-Maria Ratai, Lilianne R. Mujica-Parodi

Summary: This study analyzed neuroimaging and cognitive data from a large cohort of individuals with type 2 diabetes mellitus (T2DM) and healthy controls. The findings show that T2DM is associated with significant cognitive deficits and structural and functional brain changes, with overlap with aging effects. The duration of the disease is linked to more severe neurodegeneration. Treatment with metformin does not improve neurocognitive outcomes.

ELIFE (2022)

Article Neurosciences

Acute administration of ketone beta-hydroxybutyrate downregulates 7T proton magnetic resonance spectroscopy-derived levels of anterior and posterior cingulate GABA and glutamate in healthy adults

Antoine Hone-Blanchet, Botond Antal, Liam McMahon, Andrew Lithen, Nathan A. Smith, Steven Stufflebeam, Yi-Fen Yen, Alexander Lin, Bruce G. Jenkins, Lilianne R. Mujica-Parodi, Eva-Maria Ratai

Summary: This study found that administration of the ketone d-beta-hydroxybutyrate significantly reduced levels of GABA and Glu in the anterior and posterior cortices of fasting healthy participants. The effect was specific to the ketone and not observed with glucose administration. Furthermore, the magnitude of the effect was greater in older age and correlated with blood levels of the ketone. This suggests an increased sensitivity to ketones in the aging brain.

NEUROPSYCHOPHARMACOLOGY (2023)

Article Multidisciplinary Sciences

Early path dominance as a principle for neurodevelopment

Rostam M. Razban, Jonathan Asher Pachter, Ken A. Dill, Lilianne R. Mujica-Parodi

Summary: Through targeted attacks on the brain network, we found that increasing white matter tract lengths and densities had consistent effects on global communication, regardless of aging and disease. By reversing the attack computation, we derived an analytical equation that explains the brain development mechanism.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2023)

Review Neurosciences

From Anxious to Reckless: A Control Systems Approach Unifies Prefrontal-Limbic Regulation Across the Spectrum of Threat Detection

Lilianne R. Mujica-Parodi, Jiook Cha, Jonathan Gao

FRONTIERS IN SYSTEMS NEUROSCIENCE (2017)

No Data Available