Literature DB >> 32458698

Resting-State Network Patterns Underlying Cognitive Function in Bipolar Disorder: A Graph Theoretical Analysis.

Genevieve McPhilemy1, Leila Nabulsi1, Liam Kilmartin2, Joseph R Whittaker3, Fiona M Martyn1, Brian Hallahan1, Colm McDonald1, Kevin Murphy3, Dara M Cannon1.   

Abstract

Background: Synchronous and antisynchronous activity between neural elements at rest reflects the physiological processes underlying complex cognitive ability. Regional and pairwise connectivity investigations suggest that perturbations in these activity patterns may relate to widespread cognitive impairments seen in bipolar disorder (BD). Here we take a network-based perspective to more meaningfully capture interactions among distributed brain regions compared to focal measurements and examine network-cognition relationships across a range of commonly affected cognitive domains in BD in relation to healthy controls.
Methods: Resting-state networks were constructed as matrices of correlation coefficients between regionally averaged resting-state time series from 86 cortical/subcortical brain regions (FreeSurferv5.3.0). Cognitive performance measured using the Wechsler Adult Intelligence Scale, Cambridge Automated Neuropsychological Test Battery (CANTAB), and Reading the Mind in the Eyes tests was examined in relation to whole-brain connectivity measures and patterns of connectivity using a permutation-based statistical approach.
Results: Faster response times in controls (n = 49) related to synchronous activity between frontal, parietal, cingulate, temporal, and occipital regions, while a similar response times in BD (n = 35) related to antisynchronous activity between regions of this subnetwork. Across all subjects, antisynchronous activity between the frontal, parietal, temporal, occipital, cingulate, insula, and amygdala regions related to improved memory performance. No resting-state subnetworks related to intelligence, executive function, short-term memory, or social cognition performance in the overall sample or in a manner that would explain deficits in these facets in BD. Conclusions: Our results demonstrate alterations in the intrinsic connectivity patterns underlying response timing in BD that are not specific to performance or errors on the same tasks. Across all individuals, no strong effects of resting-state global topology on cognition are found, while distinct functional networks supporting episodic and spatial memory highlight intrinsic inhibitory influences present in the resting state that facilitate memory processing. Impact Statement Regional and pairwise-connectivity investigations suggest altered interactions between brain areas may contribute to impairments in cognition that are observed in bipolar disorder. However, the distributed nature of these interactions across the brain remains poorly understood. Using recent advances in network neuroscience, we examine functional connectivity patterns associated with multiple cognitive domains in individuals with and without bipolar disorder. We discover distinct patterns of connectivity underlying response-timing performance uniquely in bipolar disorder and, independent of diagnosis, inhibitory interactions that relate to memory performance.

Entities:  

Keywords:  bipolar disorder; cognition; graph theory; network analysis; resting state

Mesh:

Year:  2020        PMID: 32458698      PMCID: PMC7613113          DOI: 10.1089/brain.2019.0709

Source DB:  PubMed          Journal:  Brain Connect        ISSN: 2158-0014


  70 in total

1.  The assessment of anxiety states by rating.

Authors:  M HAMILTON
Journal:  Br J Med Psychol       Date:  1959

2.  Predicting human resting-state functional connectivity from structural connectivity.

Authors:  C J Honey; O Sporns; L Cammoun; X Gigandet; J P Thiran; R Meuli; P Hagmann
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-02       Impact factor: 11.205

3.  The Role of Intrinsic Brain Functional Connectivity in Vulnerability and Resilience to Bipolar Disorder.

Authors:  Gaelle E Doucet; Danielle S Bassett; Nailin Yao; David C Glahn; Sophia Frangou
Journal:  Am J Psychiatry       Date:  2017-08-18       Impact factor: 18.112

4.  Modulation of fronto-limbic activity by the psychoeducation in euthymic bipolar patients. A functional MRI study.

Authors:  Pauline Favre; Monica Baciu; Cédric Pichat; Marie-Atéa De Pourtalès; Benjamin Fredembach; Sabrina Garçon; Thierry Bougerol; Mircea Polosan
Journal:  Psychiatry Res       Date:  2013-10-22       Impact factor: 3.222

5.  Modular Segregation of Structural Brain Networks Supports the Development of Executive Function in Youth.

Authors:  Graham L Baum; Rastko Ciric; David R Roalf; Richard F Betzel; Tyler M Moore; Russell T Shinohara; Ari E Kahn; Simon N Vandekar; Petra E Rupert; Megan Quarmley; Philip A Cook; Mark A Elliott; Kosha Ruparel; Raquel E Gur; Ruben C Gur; Danielle S Bassett; Theodore D Satterthwaite
Journal:  Curr Biol       Date:  2017-05-25       Impact factor: 10.834

6.  Connectome signatures of neurocognitive abnormalities in euthymic bipolar I disorder.

Authors:  Olusola Ajilore; Nathalie Vizueta; Patricia Walshaw; Liang Zhan; Alex Leow; Lori L Altshuler
Journal:  J Psychiatr Res       Date:  2015-06-09       Impact factor: 4.791

7.  General, crystallized and fluid intelligence are not associated with functional global network efficiency: A replication study with the human connectome project 1200 data set.

Authors:  J D Kruschwitz; L Waller; L S Daedelow; H Walter; I M Veer
Journal:  Neuroimage       Date:  2018-01-12       Impact factor: 6.556

8.  Anatomical integration and rich-club connectivity in euthymic bipolar disorder.

Authors:  S O'Donoghue; L Kilmartin; D O'Hora; L Emsell; C Langan; S McInerney; N J Forde; A Leemans; B Jeurissen; G J Barker; P McCarthy; D M Cannon; C McDonald
Journal:  Psychol Med       Date:  2017-07       Impact factor: 7.723

9.  Functional connectivity pattern during rest within the episodic memory network in association with episodic memory performance in bipolar disorder.

Authors:  Viola Oertel-Knöchel; Britta Reinke; Silke Matura; David Prvulovic; David E J Linden; Vincent van de Ven
Journal:  Psychiatry Res       Date:  2014-12-04       Impact factor: 3.222

10.  The Relationship Between Resting State Network Connectivity and Individual Differences in Executive Functions.

Authors:  Andrew E Reineberg; Daniel E Gustavson; Chelsie Benca; Marie T Banich; Naomi P Friedman
Journal:  Front Psychol       Date:  2018-09-05
View more
  4 in total

1.  Differences of resting fMRI and cognitive function between drug-naïve bipolar disorder and schizophrenia.

Authors:  Jiaquan Liang; Wei Huang; Huagui Guo; Weibin Wu; Xiaoling Li; Caixia Xu; Guojun Xie; Wensheng Chen
Journal:  BMC Psychiatry       Date:  2022-10-21       Impact factor: 4.144

2.  Network-level functional topological changes after mindfulness-based cognitive therapy in mood dysregulated adolescents at familial risk for bipolar disorder: a pilot study.

Authors:  Kun Qin; Du Lei; Jing Yang; Wenbin Li; Maxwell J Tallman; Luis Rodrigo Patino Duran; Thomas J Blom; Kaitlyn M Bruns; Sian Cotton; John A Sweeney; Qiyong Gong; Melissa P DelBello
Journal:  BMC Psychiatry       Date:  2021-04-28       Impact factor: 3.630

Review 3.  Neural network of bipolar disorder: Toward integration of neuroimaging and neurocircuit-based treatment strategies.

Authors:  Bo Bi; Dongfang Che; Yuyin Bai
Journal:  Transl Psychiatry       Date:  2022-04-05       Impact factor: 7.989

4.  Aberrant brain network topology in the frontoparietal-limbic circuit in bipolar disorder: a graph-theory study.

Authors:  Li Zhang; Huiling Wu; Aiguo Zhang; Tongjian Bai; Gong-Jun Ji; Yanghua Tian; Kai Wang
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2021-01-02       Impact factor: 5.270

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.