Functional connectivity and neuronal variability of resting state activity in bipolar disorder—reduction and decoupling in anterior cortical midline structures

Magioncalda, Paola; Martino, Matteo; Conio, Benedetta; Escelsior, Andrea; Piaggio, Niccolò; Presta, Andrea; Marozzi, Valentina; Rocchi, Giulio; Anastasio, Loris; Vassallo, Linda; Ferri, Francesca; Huang, Zirui; Roccatagliata, Luca; Pardini, Matteo; Northoff, Georg; Amore, Mario

doi:10.1002/hbm.22655

Cited by 116 publications

(80 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Accordingly, major functional and structural alterations were found in the anterior DMN (17,(19)(20)(21). The ultraslow frequency band, Slow5, was interestingly found to be more dominant, especially in the ventromedial prefrontal cortices; that is, the anterior cortical midline structures, which are central to the DMN (35,56).…”

Section: Discussionmentioning

confidence: 94%

“…Resting-state networks and their relationships have been investigated in BD by using functional connectivity (FC) (17)(18)(19)(20)(21), which provides information on the spatial structure of neural networks, importantly contributing to a better understanding of the relationship between the activity of different brain regions and how they interact via networks in different states (35). In addition to FC, which mainly targets the spatial dimension, the variability of the amplitude of neural activity, which implies a strong temporal dimension, has recently been investigated to characterize the resting state in the healthy brain (36)(37)(38)(39)(40).…”

Section: Significancementioning

confidence: 99%

“…Although showing strong intranetwork functional connectivity, the DMN is also related to other networks, including the sensorimotor (SMN) (10), salience (SN) (11,12), and central executive (CEN) (12,13) networks with the relationships between networks being either positive (i.e., correlating) or negative (i.e., anticorrelating). The DMN is involved in affective regulation and internal thoughts (14)(15)(16), showing major changes in psychiatric illnesses, such as BD (17)(18)(19)(20)(21), and major depressive disorder (22)(23)(24). At the same time, the DMN may be related to psychomotor behavior through its relationship with the sensorimotor network (10).…”

mentioning

confidence: 99%

See 2 more Smart Citations

Contrasting variability patterns in the default mode and sensorimotor networks balance in bipolar depression and mania

Martino

Magioncalda

Huang

et al. 2016

Proc. Natl. Acad. Sci. U.S.A.

Self Cite

219

141

View full text Add to dashboard Cite

Depressive and manic phases in bipolar disorder show opposite constellations of affective, cognitive, and psychomotor symptoms. At a neural level, these may be related to topographical disbalance between large-scale networks, such as the default mode network (DMN) and sensorimotor network (SMN). We investigated topographical patterns of variability in the resting-state signal-measured by fractional SD (fSD) of the BOLD signal-of the DMN and SMN (and other networks) in two frequency bands (Slow5 and Slow4) with their ratio and clinical correlations in depressed (n = 20), manic (n = 20), euthymic (n = 20) patients, and healthy controls (n = 40). After controlling for global signal changes, the topographical balance between the DMN and SMN, specifically in the lowest frequency band, as calculated by the Slow5 fSD DMN/SMN ratio, was significantly increased in depression, whereas the same ratio was significantly decreased in mania. Additionally, Slow5 variability was increased in the DMN and decreased in the SMN in depressed patients, whereas the opposite topographical pattern was observed in mania. Finally, the Slow5 fSD DMN/SMN ratio correlated positively with clinical scores of depressive symptoms and negatively with those of mania. Results were replicated in a smaller independent bipolar disorder sample. We demonstrated topographical abnormalities in frequency-specific resting-state variability in the balance between DMN and SMN with opposing patterns in depression and mania. The Slow5 DMN/SMN ratio was tilted toward the DMN in depression but was shifted toward the SMN in mania. The Slow5 fSD DMN/SMN pattern could constitute a state-biomarker in diagnosis and therapy. bipolar disorder | neuronal variability | default mode network | sensorimotor network B ipolar disorder (BD) type I is a debilitating psychiatric disease with recurrent episodes of depression and mania, characterized by opposite constellations of psychopathological symptoms (1, 2). Typically, depression is characterized by mood biased toward negative affect, cognitive symptoms with thought internally focused: that is, self-focused (which manifests in ruminations) and inhibited psychomotor behavior (which manifests in psychomotor retardation). In contrast, most commonly mania presents mood biased toward positive affect, cognitive symptoms with thought externally focused: that is, environment-focused (which manifests in flight of ideas/ distractibility) and excited psychomotor behavior (which manifests in psychomotor agitation) (1-7). The neural basis underlying such co-occurrence of psychopathological symptoms with opposing constellations in depressive and manic phases of BD, however, remains unclear.Affect, thought, and psychomotor functions can be related to distinct neural networks in the brain's resting state. One central network is the default-mode network (DMN), which was first defined as a group of brain areas consistently showing decrease from baseline state during task-related activity and is indicative of an organization within the brain's ...

show abstract

Section: Discussionmentioning

confidence: 94%

Section: Significancementioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

Contrasting variability patterns in the default mode and sensorimotor networks balance in bipolar depression and mania

Martino

Magioncalda

Huang

et al. 2016

Proc. Natl. Acad. Sci. U.S.A.

Self Cite

219

141

View full text Add to dashboard Cite

show abstract

Section: Attention Deficit Hyperactivity Disordermentioning

confidence: 99%

“…For example, Pavuluri et al (69) found that secondgeneration antipsychotics showed enhanced prefrontal and temporal lobe activity in patients with adolescent BD. These deficits have promise as potential biomarkers in the clinical diagnosis of and treatment planning for BD (70 (Fig 5). We also found substantial alterations in brain function that are similar in many ways to those observed in patients with PTSD in individuals shortly after major traumatic experiences, highlighting the need for a meta-analysis, which revealed that PTSD symptom severity was negatively correlated with gray matter in the left anterior cingulate cortex and positively correlated with gray matter in the left insula (89).…”

mentioning

confidence: 99%

Psychoradiology: The Frontier of Neuroimaging in Psychiatry

Lui¹,

et al. 2016

View full text Add to dashboard Cite

Unlike neurologic conditions, such as brain tumors, dementia, and stroke, the neural mechanisms for all psychiatric disorders remain unclear. A large body of research obtained with structural and functional magnetic resonance imaging, positron emission tomography/single photon emission computed tomography, and optical imaging has demonstrated regional and illness-specific brain changes at the onset of psychiatric disorders and in individuals at risk for such disorders. Many studies have shown that psychiatric medications induce specific measurable changes in brain anatomy and function that are related to clinical outcomes. As a result, a new field of radiology, termed psychoradiology, seems primed to play a major clinical role in guiding diagnostic and treatment planning decisions in patients with psychiatric disorders. This article will present the state of the art in this area, as well as perspectives regarding preparations in the field of radiology for its evolution. Furthermore, this article will (a) give an overview of the imaging and analysis methods for psychoradiology; (b) review the most robust and important radiologic findings and their potential clinical value from studies of major psychiatric disorders, such as depression and schizophrenia; and (c) describe the main challenges and future directions in this field. An ongoing and iterative process of developing biologically based nomenclatures with which to delineate psychiatric disorders and translational research to predict and track response to different therapeutic drugs is laying the foundation for a shift in diagnostic practice in psychiatry from a psychologic symptom-based approach to an imaging-based approach over the next generation. This shift will require considerable innovations for the acquisition, analysis, and interpretation of brain images, all of which will undoubtedly require the active involvement of radiologists.q RSNA, 2016 Online supplemental material is available for this article.This copy is for personal use only. To order printed copies, contact reprints@rsna.org STATE OF THE ART: PsychoradiologyLui et al imaging study of schizophrenia with CT revealed bilaterally enlarged ventricles, which was an important con firmation of the neuropathology of the disorder (1). Since then, many psychiatry researchers have used brain imaging to elucidate the profile of brain abnormalities associated with different psychiatric disorders. This effort accelerated considerably in recent years because of the rapid and extensive growth and development in MR imaging, molecular imaging, and other diagnostic imaging techniques.Increased understanding of neurobiologic mechanisms of psychiatric disorders, increased technical capacities of human brain imaging, and many compelling demonstrations of differences between patients and control subjects in terms of brain anatomy and function provide the basis for the emergence of the clinical subspecialty of psychoradiology. Although clinical application of psychoradiology is not on the immediate horizon, th...

show abstract

Altered functional activity in bipolar disorder: A comprehensive review from a large‐scale network perspective

Yoon

Kim²,

Kim

et al. 2020

Brain and Behavior

View full text Add to dashboard Cite

Background Growing literature continues to identify brain regions that are functionally altered in bipolar disorder. However, precise functional network correlates of bipolar disorder have yet to be determined due to inconsistent results. The overview of neurological alterations from a large‐scale network perspective may provide more comprehensive results and elucidate the neuropathology of bipolar disorder. Here, we critically review recent neuroimaging research on bipolar disorder using a network‐based approach. Methods A systematic search was conducted on studies published from 2009 through 2019 in PubMed and Google Scholar. Articles that utilized functional magnetic resonance imaging technique to examine altered functional activity of major regions belonging to a large‐scale brain network in bipolar disorder were selected. Results A total of 49 studies were reviewed. Within‐network hypoconnectivity was reported in bipolar disorder at rest among the default mode, salience, and central executive networks. In contrast, when performing a cognitive task, hyperconnectivity among the central executive network was found. Internetwork functional connectivity in the brain of bipolar disorder was greater between the salience and default mode networks, while reduced between the salience and central executive networks at rest, compared to control. Conclusion This systematic review suggests disruption in the functional activity of large‐scale brain networks at rest as well as during a task stimuli in bipolar disorder. Disrupted intra‐ and internetwork functional connectivity that are also associated with clinical symptoms suggest altered functional connectivity of and between large‐scale networks plays an important role in the pathophysiology of bipolar disorder.

show abstract

Functional connectivity and neuronal variability of resting state activity in bipolar disorder—reduction and decoupling in anterior cortical midline structures

Cited by 116 publications

References 56 publications

Contrasting variability patterns in the default mode and sensorimotor networks balance in bipolar depression and mania

Contrasting variability patterns in the default mode and sensorimotor networks balance in bipolar depression and mania

Psychoradiology: The Frontier of Neuroimaging in Psychiatry

Altered functional activity in bipolar disorder: A comprehensive review from a large‐scale network perspective

Contact Info

Product

Resources

About