The effect of global signal regression on DCM estimates of noise and effective connectivity from resting state fMRI

Almgren, Hannes; Steen, Frederik Van de; Razi, Adeel; Friston, Karl J.; Marinazzo, Daniele

doi:10.1016/j.neuroimage.2019.116435

Cited by 21 publications

(17 citation statements)

References 42 publications

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“…Studies mostly included males and females in the study population with the exception of Stansfeld et al [ 49 , 50 ] who only included males (based on the Caerphilly Collaborative Heart Disease Study ) and He et al [ 57 ] who considered the hospital records of women with one pregnancy during the study period.…”

Section: Resultsmentioning

confidence: 99%

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Traffic Noise and Mental Health: A Systematic Review and Meta-Analysis

Hegewald

Schubert

Freiberg

et al. 2020

IJERPH

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Recent evidence suggests that traffic noise may negatively impact mental health. However, existing systematic reviews provide an incomplete overview of the effects of all traffic noise sources on mental health. We conducted a systematic literature search and summarized the evidence for road, railway, or aircraft noise-related risks of depression, anxiety, cognitive decline, and dementia among adults. We included 31 studies (26 on depression and/or anxiety disorders, 5 on dementia). The meta-analysis of five aircraft noise studies found that depression risk increased significantly by 12% per 10 dB LDEN (Effect Size = 1.12, 95% CI 1.02–1.23). The meta-analyses of road (11 studies) and railway traffic noise (3 studies) indicated 2–3% (not statistically significant) increases in depression risk per 10 dB LDEN. Results for road traffic noise related anxiety were similar. We did not find enough studies to meta-analyze anxiety and railway or aircraft noise, and dementia/ cognitive impairment and any traffic noise. In conclusion, aircraft noise exposure increases the risk for depression. Otherwise, we did not detect statistically significant risk increases due to road and railway traffic noise or for anxiety. More research on the association of cognitive disorders and traffic noise is required. Public policies to reduce environmental traffic noise might not only increase wellness (by reducing noise-induced annoyance), but might contribute to the prevention of depression and anxiety disorders.

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Section: Resultsmentioning

confidence: 99%

“…Schreckenberg et al [ 48 ] recorded the consumption of mood-influencing drugs and sedatives in the past 12 months. Three studies used ICD-9 or ICD-10 diagnoses from routine health insurance data [ 12 , 41 ] or hospital records [ 57 ]. Zock et al [ 55 ] used the International Classification of Primary Care (ICPC) code.…”

Section: Resultsmentioning

confidence: 99%

Traffic Noise and Mental Health: A Systematic Review and Meta-Analysis

Hegewald

Schubert

Freiberg

et al. 2020

IJERPH

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“…Temporal preprocessing employed masks for white matter (WM) and cerebrospinal fluid (CSF) produced with structural segmentation to regress out physiological noise in the blood oxygenation level dependent (BOLD) signal as it can otherwise influence functional connectivity estimates. This method called CompCor (61) regresses out the first five principal components of WM and CSF signals, movement parameters obtained from realignment, and their first-order derivatives-alleviating the need for global signal regression, which can equally perturb functional connectivity (FC) estimates (62). Additionally, anatomical CompCor scrubs outlier scans that the ART toolbox method has characterized.…”

Section: Methodsmentioning

confidence: 99%

Dopaminergic brainstem disconnection is common to pharmacological and pathological consciousness perturbation

Spindler

Luppi

Adapa

et al. 2021

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

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Clinical research into consciousness has long focused on cortical macroscopic networks and their disruption in pathological or pharmacological consciousness perturbation. Despite demonstrating diagnostic utility in disorders of consciousness (DoC) and monitoring anesthetic depth, these cortico-centric approaches have been unable to characterize which neurochemical systems may underpin consciousness alterations. Instead, preclinical experiments have long implicated the dopaminergic ventral tegmental area (VTA) in the brainstem. Despite dopaminergic agonist efficacy in DoC patients equally pointing to dopamine, the VTA has not been studied in human perturbed consciousness. To bridge this translational gap between preclinical subcortical and clinical cortico-centric perspectives, we assessed functional connectivity changes of a histologically characterized VTA using functional MRI recordings of pharmacologically (propofol sedation) and pathologically perturbed consciousness (DoC patients). Both cohorts demonstrated VTA disconnection from the precuneus and posterior cingulate (PCu/PCC), a main default mode network node widely implicated in consciousness. Strikingly, the stronger VTA–PCu/PCC connectivity was, the more the PCu/PCC functional connectome resembled its awake configuration, suggesting a possible neuromodulatory relationship. VTA-PCu/PCC connectivity increased toward healthy control levels only in DoC patients who behaviorally improved at follow-up assessment. To test whether VTA–PCu/PCC connectivity can be affected by a dopaminergic agonist, we demonstrated in a separate set of traumatic brain injury patients without DoC that methylphenidate significantly increased this connectivity. Together, our results characterize an in vivo dopaminergic connectivity deficit common to reversible and chronic consciousness perturbation. This noninvasive assessment of the dopaminergic system bridges preclinical and clinical work, associating dopaminergic VTA function with macroscopic network alterations, thereby elucidating a critical aspect of brainstem–cortical interplay for consciousness.

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“…Variation in pre-processing pipelines in particular can be a significant barrier to the accurate comparison of findings across neuroimaging studies. For comparison of motion correction pipelines see Parkes, Fulcher, Yücel, & Fornito, 2018(Parkes, Fulcher, Yücel, & Fornito, 2018, for global signal regression see Almgren, Van de Steen, Razi, Friston, & Marinazzo, 2020and Aquino, Fulcher, Parkes, Sabaroedin, & Fornito, 2020(Almgren, Van de Steen, Razi, Friston, & Marinazzo, 2020Aquino, Fulcher, Parkes, Sabaroedin, & Fornito, 2020) and for motion correction in diffusion imaging pipelines see Oldham et al, 2020(Oldham et al, 2020. The optimisation and standardisation of these pipelines-in conjunction with replication and comparison between psychedelics-may be essential.…”

Section: Signal From the Noisementioning

confidence: 99%

Neural Mechanisms and Psychology of Psychedelic Ego Dissolution

Stoliker¹,

Egan²,

Friston³

et al. 2021

Preprint

Self Cite

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Neuroimaging studies of psychedelics have advanced our understanding of hierarchical brain organisation and the mechanisms underlying their subjective and therapeutic effects. The primary mechanism of action of classic psychedelics is binding to serotonergic 5HT2A receptors. Agonist activity at these receptors leads to neuromodulatory changes in synaptic efficacy that can have a profound effect on hierarchical message passing in the brain. Here, we review the cognitive and neuroimaging evidence for the effects of psychedelics; in particular, their influence on selfhood and subject-object boundaries—known as ego dissolution—surmised to underwrite their subjective and therapeutic effects. Agonist of 5HT2A receptors, located at the apex of the cortical hierarchy may have a particularly powerful effect on sentience and consciousness. These effects can endure well after the pharmacological half life, suggesting that psychedelics may have long-term effects on neural plasticity – that may play a role in their therapeutic efficacy. Psychologically, this may be accompanied by a surrender of ego resistance that increases the repertoire of perceptual hypotheses, including those that undergird selfhood. We consider the interaction between serotonergic neuromodulation and sentience through the lens of hierarchical predictive coding, which speaks to the value of psychedelics in understanding how we make sense of the world—and specific predictions about effective connectivity in cortical hierarchies that can be tested using functional neuroimaging.

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The effect of global signal regression on DCM estimates of noise and effective connectivity from resting state fMRI

Cited by 21 publications

References 42 publications

Traffic Noise and Mental Health: A Systematic Review and Meta-Analysis

Traffic Noise and Mental Health: A Systematic Review and Meta-Analysis

Dopaminergic brainstem disconnection is common to pharmacological and pathological consciousness perturbation

Neural Mechanisms and Psychology of Psychedelic Ego Dissolution

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