Evidence map›Paper›PMID 32047938›Full record

ArticleSchizophrenia bulletin2020

Opposing Changes in the Functional Architecture of Large-Scale Networks in Bipolar Mania and Depression.

Daniel Russo, Matteo Martino, Paola Magioncalda, Matilde Inglese, Mario Amore, Georg Northoff

Open access · bronzeAbstract read
In one paragraph

Article in Schizophrenia bulletin, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
4.2field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 65 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Polarisation of brain dynamics in mania and depression.Dialogues in clinical neuroscience · 2026
    Article
  5. [Dynamic alterations in regional brain activity associated with bipolar disorder and smoking status].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
    Article
  6. Disorganisation and depression: a re-examination of how we think and speak when depressed.European archives of psychiatry and clinical neuroscience · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 5 countries.

Daniel RussoDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy.
Matteo MartinoDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY.
Paola MagioncaldaDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy.
Matilde IngleseOspedale Policlinico San Martino IRCCS, Genoa, Italy.
Mario AmoreDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy.
Georg NorthoffUniversity of Ottawa Brain and Mind Research Institute, and Mind Brain Imaging and Neuroethics Royal's Institute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada.
University of Genoa · ITHangzhou Normal University · CNIcahn School of Medicine at Mount Sinai · USTaipei Medical University-Shuang Ho Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveManic and depressive phases of bipolar disorder (BD) show opposite symptoms in psychomotor, thought, and affective dimensions. Neuronally, these may depend on distinct patterns of alterations in the functional architecture of brain intrinsic activity. Therefore, the study aimed to characterize the spatial and temporal changes of resting-state activity in mania and depression, by investigating the regional homogeneity (ReHo) and degree of centrality (DC), in different frequency bands.

methodsUsing resting-state functional magnetic resonance imaging (fMRI), voxel-wise ReHo and DC were calculated-in the standard frequency band (SFB: 0.01-0.10 Hz), as well as in Slow5 (0.01-0.027 Hz) and Slow4 (0.027-0.073 Hz)-and compared between manic (n = 36), depressed (n = 43), euthymic (n = 29) patients, and healthy controls (n = 112). Finally, clinical correlations were investigated.

resultsMania was mainly characterized by decreased ReHo and DC in Slow4 in the medial prefrontal cortex (as part of the default-mode network [DMN]), which in turn correlated with manic symptomatology. Conversely, depression was mainly characterized by decreased ReHo in SFB in the primary sensory-motor cortex (as part of the sensorimotor network [SMN]), which in turn correlated with depressive symptomatology.

conclusionsOur data show a functional reconfiguration of the spatiotemporal structure of intrinsic brain activity to occur in BD. Mania might be characterized by a predominance of sensorimotor over associative networks, possibly driven by a deficit of the DMN (reflecting in internal thought deficit). Conversely, depression might be characterized by a predominance of associative over sensorimotor networks, possibly driven by a deficit of the SMN (reflecting in psychomotor inhibition).

Indexed as

ConnectomeAdultBipolar DisorderDefault Mode NetworkDepressionHumansMagnetic Resonance ImagingManiaNerve NetPrefrontal CortexSensorimotor Cortexbipolar disorder/regional homogeneitydegree of centrality/default-mode networksensorimotor network

Identifiers

PMID32047938
PMCPMC7342167
OpenAlexW3005777537

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.