Impact of the resolution of brain parcels on connectome-wide association studies in fMRI

Bellec, Pierre; Benhajali, Yassine; Carbonell, Félix; Dansereau, Christian; Albouy, Geneviève; Pelland, Maxime; Craddock, R. Cameron; Collignon, Olivier; Doyon, Julien; Stip, Émmanuel; Orban, Pierre

doi:10.1016/j.neuroimage.2015.07.071

Cited by 50 publications

(43 citation statements)

References 47 publications

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“…Besides, we applied the FDR control to each contrast separately. In the presence of true discoveries that are strong and widespread, it has been argued 32 and supported based on simulations 30 that the FDR scales well across contrasts, as it controls for a proportion, even in the presence of positive dependencies across contrasts (as in the repeated-measures scenario explored here).…”

Section: Connectome-wide Association Analysismentioning

confidence: 58%

“…We carried out the cluster procedure at a specific resolution, with 50 clusters, as this resolution has been suggested to have higher sensitivity for connectome-wide association analyses in our prior independent work using the same methodology. 30 These functional brain clusters, hereafter coined as regions, were generated using the concatenation of the 3 fMRI runs, thus encompassing all cognitive contexts as well as short rest epochs.…”

Section: Functional Brain Parcellationmentioning

confidence: 99%

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Altered brain connectivity in patients with schizophrenia is consistent across cognitive contexts

Orban

Desseilles

Mendrek

et al. 2017

JPN

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IntroductionBeyond abnormal activity of focal brain areas, 1 aberrant functional interactions between brain regions are thought to be a core feature of schizophrenia. [2][3][4] Among the current issues related to this influential idea is whether abnormal functional connectivity in patients with schizophrenia is contextdependent. 5 Resting-state fMRI characterizes intrinsic functional brain connectivity, which is guided by endogenous processes and spontaneous thoughts in the absence of any explicit task. 6 Resting-state functional brain imaging in patients with schizophrenia has revealed a widespread functional dysconnectivity between brain regions that are also known to exhibit abnormal levels of activation in relation to impairments in task performance and/or symptomatology. 7-11However, a critical issue with the study of resting-state functional connectivity in patients with schizophrenia is the poor control over the cognitive state of these individuals, which may confound the interpretation of the results. Patients with schizophrenia experience pronounced disturbances of thoughts and differ from controls with regards to their internal mentations and cognitive states during rest. 12 The question of the context-independence of abnormal functional connectivity in patients with schizophrenia may thus be best adressed by characterizing such alterations using well-defined behavioural paradigms. To date, research has focused on determining whether alterations in brain connectivity were further modulated by task complexity in single cognitive domains. 13-15However, to our knowledge, there is no sufficiently powered study that specifically examined commonalities and differences in dysconnectivity across distinct cognitive tasks. 16In the present work, we sought to assess whether the degree of cognitive similarity would impact the results by looking at 2 cognitive domains that strongly differ from one another, emotional versus visuomotor processing. We further distinguished the emotional processing task based on an additional embedded component, either incidental learning or recognition memory. These 3 paradigms were studied with a connectome-wide general linear model analysis. We characterized context-independent effects through commonalities in the main effects of abnormal functional connectivity across the 3 tasks. We evaluated context-dependent effects of abnormal connectivity using interaction analyses that looked for changes in functional connectivity between tasks in patients Correspondence to: P. Orban, CRIUGM, Université de Montréal, 4545 Queen Mary, Montreal, QC H3W 1W5; pierre.orban@criugm.qc.ca Submitted July 13, 2015; Revised Nov. 19, 2015; Accepted Jan. 5, 2016; Early-released Apr. 19, 2016 DOI: 10.1503 Background: Schizophrenia has been defined as a dysconnection syndrome characterized by aberrant functional brain connectivity. Using task-based fMRI, we assessed to what extent the nature of the cognitive context may further modulate abnormal functional brain connectivity. Methods: We analyzed data matc...

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Section: Connectome-wide Association Analysismentioning

confidence: 58%

Section: Functional Brain Parcellationmentioning

confidence: 99%

Altered brain connectivity in patients with schizophrenia is consistent across cognitive contexts

Orban

Desseilles

Mendrek

et al. 2017

JPN

Self Cite

View full text Add to dashboard Cite

show abstract

“…In particular, we performed three types of contrast statistics: (1) all coordinates irrespective of seed network; and given the focus on the default mode network (DMN) in the literature, (2) coordinates associated with seeds inside the DMN only; and (3) coordinates associated with seeds outside the DMN, that is, non-DMN seeds. All analyses were conducted using a multiresolution atlas of group-level functional brain parcellations derived from an independent rsfMRI data set, the Bootstrap Analysis of Stable Clusters–Cambridge atlas (https://dx.doi.org/10.6084/m9.figshare.1285615.v1) [15]. This atlas consists of nine functional parcellations capturing successively finer levels of spatial detail, of which we used parcellations at two resolutions: the first comprised seven commonly used large-scale networks (R7 atlas) and the second containing 36 networks (R36 atlas).…”

Section: Methodsmentioning

confidence: 99%

Resting‐state network dysfunction in Alzheimer's disease: A systematic review and meta‐analysis

Badhwar

Tam

Christian

et al. 2017

Alz & Dem Diag Ass & Dis Mo

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337

256

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IntroductionWe performed a systematic review and meta-analysis of the Alzheimer's disease (AD) literature to examine consistency of functional connectivity alterations in AD dementia and mild cognitive impairment, using resting-state functional magnetic resonance imaging.MethodsStudies were screened using a standardized procedure. Multiresolution statistics were performed to assess the spatial consistency of findings across studies.ResultsThirty-four studies were included (1363 participants, average 40 per study). Consistent alterations in connectivity were found in the default mode, salience, and limbic networks in patients with AD dementia, mild cognitive impairment, or in both groups. We also identified a strong tendency in the literature toward specific examination of the default mode network.DiscussionConvergent evidence across the literature supports the use of resting-state connectivity as a biomarker of AD. The locations of consistent alterations suggest that highly connected hub regions in the brain might be an early target of AD.

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“…All analyses were conducted using a multiresolution atlas of group-level functional brain parcellations derived from an independent rsfMRI data set, the Bootstrap Analysis of Stable ClustersCambridge atlas (https://dx.doi.org/10.6084/m9.figshare. 1285615.v1) [15]. This atlas consists of nine functional parcellations capturing successively finer levels of spatial detail, of which we used parcellations at two resolutions: the first comprised seven commonly used large-scale networks (R7 atlas) and the second containing 36 networks (R36 atlas).…”

Section: Network-based Statisticsmentioning

confidence: 99%

IC‐P‐033: Resting‐State Network Dysfunction in Alzheimer’s Disease: A Systematic Review and Meta‐Analysis

Badhwar

Tam

Dansereau

et al. 2016

Alzheimer's & Dementia

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Introduction: We performed a systematic review and meta-analysis of the Alzheimer's disease (AD) literature to examine consistency of functional connectivity alterations in AD dementia and mild cognitive impairment, using resting-state functional magnetic resonance imaging. Methods: Studies were screened using a standardized procedure. Multiresolution statistics were performed to assess the spatial consistency of findings across studies. Results: Thirty-four studies were included (1363 participants, average 40 per study). Consistent alterations in connectivity were found in the default mode, salience, and limbic networks in patients with AD dementia, mild cognitive impairment, or in both groups. We also identified a strong tendency in the literature toward specific examination of the default mode network. Discussion: Convergent evidence across the literature supports the use of resting-state connectivity as a biomarker of AD. The locations of consistent alterations suggest that highly connected hub regions in the brain might be an early target of AD.

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Impact of the resolution of brain parcels on connectome-wide association studies in fMRI

Cited by 50 publications

References 47 publications

Altered brain connectivity in patients with schizophrenia is consistent across cognitive contexts

Altered brain connectivity in patients with schizophrenia is consistent across cognitive contexts

Resting‐state network dysfunction in Alzheimer's disease: A systematic review and meta‐analysis

IC‐P‐033: Resting‐State Network Dysfunction in Alzheimer’s Disease: A Systematic Review and Meta‐Analysis

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