The role of the salience network in cognitive and affective deficits

Frontiers in Human Neuroscience, Год журнала: 2023, Номер 17

Опубликована: Март 20, 2023

Analysis and interpretation of studies on cognitive affective dysregulation often draw upon the network paradigm, especially Triple Network Model, which consists default mode (DMN), frontoparietal (FPN), salience (SN). DMN activity is primarily dominant during leisure self-monitoring processes. The FPN peaks task involvement exertion. Meanwhile, SN serves as a dynamic “switch” between FPN, in line with demand. In domains, dysfunctions involving are connected to broad spectrum deficits maladaptive behavioral patterns variety clinical disorders, such depression, insomnia, narcissism, PTSD (in case hyperactivity), chronic pain, anxiety, high degrees neuroticism, schizophrenia, epilepsy, autism, neurodegenerative illnesses, bipolar disorder hypoactivity). We discuss neurological data from various research domains present an integrated perspective indicating that these conditions can be associated widespread disruption predictive coding at multiple hierarchical levels. delineate fundamental ideas brain paradigm contrast them conventional modular method first section this article. Following this, we outline interaction model key functional networks highlight recent coupling SN-related impairments.

Язык: Английский

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Frontostriatal salience network expansion in individuals in depression

Nature, Год журнала: 2024, Номер 633(8030), С. 624 - 633

Опубликована: Сен. 4, 2024

Язык: Английский

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Linked patterns of symptoms and cognitive covariation with functional brain controllability in major depressive disorder

EBioMedicine, Год журнала: 2024, Номер 106, С. 105255 - 105255

Опубликована: Июль 19, 2024

Controllability analysis is an approach developed for evaluating the ability of a brain region to modulate function in other regions, which has been found be altered major depressive disorder (MDD). Both symptoms and cognitive impairments are prominent features MDD, but case-control differences controllability between MDD controls can not fully interpret contribution both clinical cognition linked patterns among them MDD.

Язык: Английский

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The brain’s cingulo-opercular action-mode network

Опубликована: Янв. 27, 2024

The brain is always intrinsically active, utilizing energy at high rates, while moving between global functional modes. Awake modes are tied to corresponding behavioral states. During goal-directed behavior, the enters an action-mode of function. In action-mode, arousal heightened, attention focused externally, and action plans created, converted movements, continuously updated based on relevant feedback, such as pain. Here, we synthesize classical recent human animal evidence that brain’s created maintained by network (AMN), which had previously identified named cingulo-opercular (CON) its anatomy. Controlling accounts for large variety functions associated with AMN, increasing arousal, processing instructional cues, task general initiation transients, sustained goal maintenance, planning, sympathetic drive (e.g., connectivity adrenal medulla) controlling physiology internal organs, well action-relevant bottom-up signals pain, errors viscerosensation. mode space, AMN-generated antipole default-mode self-referential, emotional, memory processing.

Язык: Английский

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The brain’s action-mode network

Nature reviews. Neuroscience, Год журнала: 2025, Номер unknown

Опубликована: Янв. 2, 2025

Язык: Английский

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Default mode network functional connectivity as a transdiagnostic biomarker of cognitive function

Biological Psychiatry Cognitive Neuroscience and Neuroimaging, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

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A network correspondence toolbox for quantitative evaluation of novel neuroimaging results

Nature Communications, Год журнала: 2025, Номер 16(1)

Опубликована: Март 25, 2025

Abstract The brain can be decomposed into large-scale functional networks, but the specific spatial topographies of these networks and names used to describe them vary across studies. Such discordance has hampered interpretation convergence research findings field. We have developed Network Correspondence Toolbox (NCT) permit researchers examine report correspondence between their novel neuroimaging results multiple widely atlases. provide several exemplar demonstrations illustrate how use NCT own findings. provides a convenient means for computing Dice coefficients with spin test permutations determine magnitude statistical significance among user-defined maps existing atlas labels. adoption will make it easier network neuroscience in standardized manner, thus aiding reproducibility facilitating comparisons studies produce interdisciplinary insights.

Язык: Английский

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A network correspondence toolbox for quantitative evaluation of novel neuroimaging results

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Июнь 18, 2024

Decades of neuroscience research has shown that macroscale brain dynamics can be reliably decomposed into a subset large-scale functional networks, but the specific spatial topographies these networks and names used to describe them vary across studies. Such discordance hampered interpretation convergence findings field. To address this problem, we have developed Network Correspondence Toolbox (NCT) permit researchers examine report correspondence between their novel neuroimaging results sixteen widely atlases, consistent with recommended reporting standards by Organization for Human Brain Mapping. The atlases included in toolbox show some topographical such as those labeled default or visual. naming varies particularly spanning frontoparietal association cortices. For reason, quantitative comparison multiple is benchmark findings. We provide several exemplar demonstrations using Connectome Project task fMRI UK Biobank independent component analysis maps illustrate how use NCT own through evaluation against published atlases. provides convenient means computing Dice coefficients spin test permutations determine magnitude statistical significance among user-defined existing atlas labels. also includes functionality incorporate additional future. adoption will make it easier network standardized manner, thus aiding reproducibility facilitating comparisons studies produce interdisciplinary insights.

Язык: Английский

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Connectivity analyses for task-based fMRI

Physics of Life Reviews, Год журнала: 2024, Номер 49, С. 139 - 156

Опубликована: Апрель 30, 2024

Functional connectivity (FC) is conventionally defined by measuring the similarity between brain signals from two regions. The technique has become widely adopted in analysis of functional magnetic resonance imaging (fMRI) data, where it provided cognitive neuroscientists with abundant information on how regions interact to support complex cognition. However, past decade notion "connectivity" expanded both complexity and heterogeneity its application neuroscience, resulting greater difficulty interpretation, replication, cross-study comparisons. In this paper, we begin canonical notions then introduce recent methodological developments that either estimate some alternative form or extend analytical framework, hope bringing better clarity for neuroscience researchers.

Язык: Английский

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Resting state functional brain connectivity in child and adolescent psychiatry: where are we now?

Neuropsychopharmacology, Год журнала: 2024, Номер 50(1), С. 196 - 200

Опубликована: Май 22, 2024

Abstract Approaching the 30th anniversary of discovery resting state functional magnetic resonance imaging (rsfMRI) connectivity, we reflect on impact this neuroimaging breakthrough field child and adolescent psychiatry. The study intrinsic brain architecture that rsfMRI affords across a wide range ages abilities has yielded numerous key insights. For example, now know many neurodevelopmental conditions are associated with more widespread circuit alterations multiple large-scale networks than previously suspected. emergence population neuroscience effective data-sharing initiatives have made large datasets publicly available, providing sufficient power to begin identify brain-based subtypes within heterogeneous clinical conditions. Nevertheless, several methodological theoretical challenges must still be addressed fulfill promises personalized In particular, incomplete understanding physiological mechanisms driving developmental changes in connectivity remains an obstacle further progress. Future directions include cross-species multimodal investigations illuminate such mechanisms. Data collection harmonization efforts span countries diverse cohorts urgently needed. Finally, incorporating naturalistic fMRI paradigms as movie watching should priority for future research efforts.

Язык: Английский

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