Resting-state fMRI correlations: from link-wise unreliability to whole brain stability

Pannunzi, Mario; Hindriks, Rikkert; Bettinardi, Ruggero G.; Wenger, Elisabeth; Lisofsky, Nina; Mårtensson, Johan; Butler, Oisín; Filevich, Elisa; Becker, Maxi; Lochstet, Martyna; Lindenberger, Ulman; Kühn, Simone; Deco, Gustavo

doi:10.1101/081976

Cited by 17 publications

(28 citation statements)

References 39 publications

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“…During the scan, participants completed a 6.5‐minute resting state scan while looking at a fixation cross. Given our within‐subjects design, it is important to note that resting state data have good test‐retest reliability (; although see). Participants also completed two tasks during the scan, one involved passively viewing images, and the other was a modified version of the monetary incentive delay task that was not cognitively demanding (data reported elsewhere).…”

Section: Methodsmentioning

confidence: 99%

Methamphetamine acutely alters frontostriatal resting state functional connectivity in healthy young adults

et al. 2019

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Chronic use of methamphetamine impairs frontostriatal structure and function, which may result in increased incentive-motivational responses to drug cues and decreased regulation of drug-seeking behavior. However, less is known regarding how the drug affects these circuits after acute administration. The current study examined the effects of a single dose of methamphetamine on resting state frontostriatal functional connectivity in healthy volunteers. Participants (n = 22, 12 female) completed two sessions in which they received methamphetamine (20 mg) and placebo before a resting state scan during functional magnetic resonance imaging. Participants also provided self-report measures of euphoria and stimulation at regular intervals. We conducted seed-based voxelwise functional connectivity analyses using three bilateral striatal seed regions: nucleus accumbens (NAcc), caudate, and putamen and compared connectivity following methamphetamine versus placebo administration.Additionally, we conducted correlational analyses to assess if drug-induced changes in functional connectivity were related to changes in subjective response.Methamphetamine increased NAcc functional connectivity with medial frontal regions (ie, orbitofrontal cortex, medial frontal gyrus, and superior frontal gyrus) and decreased NAcc functional connectivity with subgenual anterior cingulate cortex (ACC). Methamphetamine also increased functional connectivity between putamen and left inferior frontal gyrus (IFG), and individuals who displayed greater druginduced increase in connectivity reported less euphoria and stimulation. These findings provide important information regarding the effects of methamphetamine on brain function in nonaddicted individuals. Further studies will reveal whether such effects contribute to the abuse potential of the drug and whether they are related to the frontostriatal impairments observed after chronic methamphetamine use.

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Section: Methodsmentioning

confidence: 99%

Methamphetamine acutely alters frontostriatal resting state functional connectivity in healthy young adults

et al. 2019

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“…In such a context, the architecture of a negative functional brain network and its changes as a function of connection variability require systematic exploration. It is worth noting that while the individual variability' of positive functional connection is already characterized 21 , this is not true concerning negative functional connections.…”

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confidence: 98%

Functional connections between and within brain subnetworks under resting-state

Parente

Colosimo

2020

Sci Rep

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functional connections between and within brain subnetworks under resting-state fabrizio parente * & Alfredo colosimo the focus of this paper is on the functional role of brain regions focusing on their modular architecture and individual variability. our main assumption is that the more variable anti-correlation patterns reflect random connections, while the more conserved ones play a functional role. Within this framework, we expanded on previous results using a different database and a different methodological approach. Aiming to identify the role of specific functional connections within a global network organization which includes subnetworks, we found that the fronto-parietal module acts as the main source of anti-correlations. In addition, the pre-frontal regions (namely: frontal middle, frontal middle orbital, frontal inferior triangular) and the parietal inferior region are highly conserved and, at the same time, act as highly connected nodes, thus confirming their importance in functional modulation. fMRI technology allows to explore brain regions' activities and, in the case of spontaneous activation, reveals an organized structure with peculiar segregation and integration properties 1-3. In addition to mutual activation among different regions (corresponding to positive correlations), another kind of interactions have been measured, namely anti-correlations (or anti-phase signal dependences) 4-8. A major role was assigned to these interactions in the reciprocal de-activation between the Default Mode Network (DMN) and the Task Positive Network (TPN) 9-11. Several papers associated anti-correlation to schizophrenia 8 , working memory 6 , aging 6 , NMDA receptor 4,12 as well as intracranial electrophysiological measurement 5,13 and magnetoencephalographic recordings 14. A basic methodological problem, however, was raised by Murphy 15 , underlining the role of the Global Signal Regression (GSR) method in the insertion of artifactual anti-correlations. Alternative methods were designed to face that problem 16-18 and, more recently, evidences were obtained indicating a reproducible anti-correlation pattern between the DMN and the Dorsal Attention Network (DAN), as well as the Salience Network (SN) 19,20. The list of unsolved problems, however, still includes:

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“…In terms of within-subject consistency, concerns have been raised regarding the reliability of fMRI for biomarkers to be applied at the individual level 52 . The use of multivariate models avoid the important consistency issues of single links: models that rely on global patterns have been shown to be robust enough to enable individual fingerprinting 11 . This allowed us to extend assessments from other studies of test-retest reliability for rs-fMRI in pre-HD 53 to the individual level.…”

Section: Discussionmentioning

confidence: 99%

“…Cross-validated strategies are a step toward that goal, where different sets of subjects are used for training a model and for testing its individual predictions 10 . In that sense, it is critical that the signals distinguishing individuals are reliable across successive measurements that are repeated on time scales that are short with respect to the expected rate of change 11 , but also that learned patterns are shown to be robust, e.g. valid across sub-cohorts from different imaging sites 12 .…”

mentioning

confidence: 99%

Resting-state connectivity stratifies premanifest Huntington’s disease by longitudinal cognitive decline rate

Polosecki

Castro

Rish

et al. 2020

Sci Rep

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Patient stratification is critical for the sensitivity of clinical trials at early stages of neurodegenerative disorders. in Huntington's disease (HD), genetic tests make cognitive, motor and brain imaging measurements possible before symptom manifestation (pre-HD). We evaluated pre-HD stratification models based on single visit resting-state functional MRi (rs-fMRi) data that assess observed longitudinal motor and cognitive change rates from the multisite Track-On HD cohort (74 pre-HD, 79 control participants). We computed longitudinal performance change on 10 tasks (including visits from the preceding tRAcK-HD study when available), as well as functional connectivity density (fcD) maps in single rs-fMRi visits, which showed high test-retest reliability. We assigned pre-HD subjects to subgroups of fast, intermediate, and slow change along single tasks or combinations of them, correcting for expectations based on aging; and trained FCD-based classifiers to distinguish fast-from slow-progressing individuals. For robustness, models were validated across imaging sites. Stratification models distinguished fast-from slow-changing participants and provided continuous assessments of decline applicable to the whole pre-HD population, relying on previously-neglected white matter functional signals. these results suggest novel correlates of early deterioration and a robust stratification strategy where a single MRI measurement provides an estimate of multiple ongoing longitudinal changes.

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Resting-state fMRI correlations: from link-wise unreliability to whole brain stability

Cited by 17 publications

References 39 publications

Methamphetamine acutely alters frontostriatal resting state functional connectivity in healthy young adults

Methamphetamine acutely alters frontostriatal resting state functional connectivity in healthy young adults

Functional connections between and within brain subnetworks under resting-state

Resting-state connectivity stratifies premanifest Huntington’s disease by longitudinal cognitive decline rate

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