Is it time to put rest to rest?

Trends in Cognitive Sciences, Год журнала: 2021, Номер 25(12), С. 1021 - 1032

Опубликована: Окт. 6, 2021

Язык: Английский

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A parsimonious description of global functional brain organization in three spatiotemporal patterns

Nature Neuroscience, Год журнала: 2022, Номер 25(8), С. 1093 - 1103

Опубликована: Июль 28, 2022

Язык: Английский

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Psychedelic resting-state neuroimaging: A review and perspective on balancing replication and novel analyses

Neuroscience & Biobehavioral Reviews, Год журнала: 2022, Номер 138, С. 104689 - 104689

Опубликована: Май 16, 2022

Clinical research into serotonergic psychedelics is expanding rapidly, showing promising efficacy across myriad disorders. Resting-state functional magnetic resonance imaging (rs-fMRI) a commonly used strategy to identify psychedelic-induced changes in neural pathways clinical and healthy populations. Here we, large group of psychedelic researchers, review the 42 articles published date, based on 17 unique studies evaluating effects rs-fMRI, focusing methodological variation. Prominently, we observe that nearly all vary data processing analysis methodology, two datasets are foundation over half literature, there lexical ambiguity common outcome metric terminology. We offer guidelines for future encourage coherence field. Psychedelic rs-fMRI will benefit from development novel methods expand our understanding brain mechanisms mediating its intriguing effects; yet, this field at crossroads where must also consider critical importance consistency replicability effectively converge stable representations psychedelics.

Язык: Английский

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What have we really learned from functional connectivity in clinical populations?

NeuroImage, Год журнала: 2021, Номер 242, С. 118466 - 118466

Опубликована: Авг. 10, 2021

Functional connectivity (FC), or the statistical interdependence of blood-oxygen dependent level (BOLD) signals between brain regions using fMRI, has emerged as a widely used tool for probing functional abnormalities in clinical populations due to promise approach across conceptual, technical, and practical levels. With an already vast steadily accumulating neuroimaging literature on neurodevelopmental, psychiatric, neurological diseases disorders which FC is primary measure, we aim here provide high-level synthesis major concepts that have arisen from findings manner cuts different conditions sheds light overarching principles. We highlight allowed us discover ubiquity intrinsic networks virtually all brains clarify typical patterns neurodevelopment over lifespan. This understanding maturation with age provided important benchmarks against evaluate divergent early life degeneration late life. turn led insight many are associated complex, distributed, network-level changes brain, opposed solely focal abnormalities. further emphasize role studies played supporting dimensional studying transdiagnostic symptoms enhancing multimodal characterization prediction trajectory symptom progression conditions. unprecedented opportunity offered by probe where function could not be easily studied otherwise, such consciousness. Lastly, suggest high priority areas future research acknowledge critical barriers use methods, particularly those related artifact removal, data denoising feasibility contexts.

Язык: Английский

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Prediction of stimulus-independent and task-unrelated thought from functional brain networks

Nature Communications, Год журнала: 2021, Номер 12(1)

Опубликована: Март 19, 2021

Abstract Neural substrates of “mind wandering” have been widely reported, yet experiments varied in their contexts and definitions this psychological phenomenon, limiting generalizability. We aimed to develop test the generalizability, specificity, clinical relevance a functional brain network-based marker for well-defined feature mind wandering—stimulus-independent, task-unrelated thought (SITUT). Combining MRI (fMRI) with online experience sampling healthy adults, we defined connectome-wide model inter-regional coupling—dominated by default-frontoparietal control subnetwork interactions—that predicted trial-by-trial SITUT fluctuations within novel individuals. Model predictions generalized an independent sample adults attention-deficit/hyperactivity disorder (ADHD). In three additional resting-state fMRI studies (total n = 1115), including individuals ADHD, demonstrated further prediction (at modest effect sizes) using multiple trait-level in-scanner measures. Our findings suggest that is represented common pattern network interactions across time scales contexts.

Язык: Английский

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Functional connectome of brainstem nuclei involved in autonomic, limbic, pain and sensory processing in living humans from 7 Tesla resting state fMRI

NeuroImage, Год журнала: 2022, Номер 250, С. 118925 - 118925

Опубликована: Янв. 21, 2022

Despite remarkable advances in mapping the functional connectivity of cortex, subcortical regions is understudied living humans. This case for brainstem nuclei that control vital processes, such as autonomic, limbic, nociceptive and sensory functions. because lack precise localization, adequate sensitivity resolution deepest brain regions, well optimized processing brainstem. To close gap between cortex brainstem, on 20 healthy subjects, we computed a correlation-based connectome 15 involved nociceptive, function (superior inferior colliculi, ventral tegmental area-parabrachial pigmented nucleus complex, microcellular nucleus-prabigeminal lateral medial parabrachial nuclei, vestibular superior olivary medullary reticular formation, viscerosensory motor nucleus, raphe magnus, pallidus, obscurus, parvicellular – alpha part) with rest brain. Specifically, exploited 1.1mm isotropic 7 Tesla resting-state fMRI, ad-hoc coregistration physiological noise correction strategies, recently developed probabilistic template nuclei. Further, used 2.5mm fMRI data acquired 3 scanner to assess translatability our results conventional datasets. We report highly consistent correlation coefficients across confirming available literature pathways, high interconnectivity within central autonomic network network. Interestingly, showed evidence vestibulo-autonomic interactions line previous work. Comparison findings settings brainstem-cortical good yet weaker brainstem-brainstem connectivity. The might bring new insight understanding health disease.

Язык: Английский

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Cortex-wide neural dynamics predict behavioral states and provide a neural basis for resting-state dynamic functional connectivity

Cell Reports, Год журнала: 2023, Номер 42(6), С. 112527 - 112527

Опубликована: Май 26, 2023

Although resting-state functional magnetic resonance imaging (fMRI) studies have observed dynamically changing brain-wide networks of correlated activity, fMRI's dependence on hemodynamic signals makes results challenging to interpret. Meanwhile, emerging techniques for real-time recording large populations neurons revealed compelling fluctuations in neuronal activity across the brain that are obscured by traditional trial averaging. To reconcile these observations, we use wide-field optical mapping simultaneously record pan-cortical and awake, spontaneously behaving mice. Some components clearly represent sensory motor function. However, particularly during quiet rest, strongly fluctuating patterns diverse regions contribute greatly interregional correlations. Dynamic changes correlations coincide with arousal state. Simultaneously acquired hemodynamics depict similar brain-state-dependent correlation shifts. These support a neural basis dynamic fMRI, while highlighting importance study

Язык: Английский

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Stability of spectral estimates in resting-state magnetoencephalography: Recommendations for minimal data duration with neuroanatomical specificity

NeuroImage, Год журнала: 2021, Номер 247, С. 118823 - 118823

Опубликована: Дек. 16, 2021

The principle of resting-state paradigms is appealing and practical for collecting data from impaired patients special populations, especially if collection times can be minimized. To achieve this goal, researchers need to ensure estimated signal features interest are robust. In electro- magnetoencephalography (EEG, MEG) we not aware any studies the minimal length required yield a robust one-session snapshot frequency-spectrum derivatives that typically used characterize complex dynamics brain's resting-state. We aimed fill knowledge gap by studying stability common spectral measures MEG source time series obtained large samples single-session recordings shared repositories featuring different recording conditions instrument technologies (OMEGA: N = 107; Cam-CAN: 50). discovered rhythmic arrhythmic properties intrinsic brain activity robustly in most cortical regions when derived relatively short segments 30-s 120-s data, regardless technology paradigm. Using an adapted leave-one-out approach Bayesian analysis, also provide evidence over unaffected age, sex, handedness, general cognitive function. summary, sessions sufficient estimates frequency-defined during This study may help guide future empirical designs field, particularly minimized, such as with patient or populations.

Язык: Английский

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Recent advances in the neuroscience of spontaneous and off-task thought: implications for mental health

Nature Mental Health, Год журнала: 2023, Номер 1(11), С. 827 - 840

Опубликована: Ноя. 2, 2023

Язык: Английский

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Metastability, fractal scaling, and synergistic information processing: What phase relationships reveal about intrinsic brain activity

NeuroImage, Год журнала: 2022, Номер 259, С. 119433 - 119433

Опубликована: Июль 1, 2022

Язык: Английский

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