The pathophysiology of attention-deficit/hyperactivity disorder (ADHD) is characterized by atypical brain network organization and dynamics. Although functional brain networks adaptively reconfigure across cognitive contexts, previous studies have largely focused on network dysfunction during the resting-state. This preliminary study examined how functional brain network organization and dynamics flexibly reconfigure across rest and two cognitive control tasks with different cognitive demands in 30 children with ADHD and 36 typically developing (TD) children (8-12 years).

Network neuroscience is an interdisciplinary field, which can be used to understand the brain by examining the connections between its constituent elements. In recent years, the application of network neuroscience approaches to study the intricate nature of the structural and functional relationships within the human brain has yielded unique insights into its organization. In this review, we begin by defining network neuroscience and providing an overview of the common metrics that describe the topology of human structural and functional brain networks. We then present a detailed overview of a limited but growing body of literature that leverages network neuroscience metrics to demonstrate the impact of mindfulness meditation on modulating the fundamental structural and functional network properties of segregation, integration, and influence. Although preliminary, results across studies suggest that mindfulness meditation results in a shift in connector hubs, such as the anterior cingulate cortex, the thalamus, and the mid-insula. Although there is mixed evidence regarding the impact of mindfulness training on global metrics of connectivity, the default mode network exhibits reduced intra-connectivity following mindfulness training. Our review also underscores essential directions for future research, including a more comprehensive examination of mindfulness training and its potential to influence structural and functional connections at the nodal, network, and whole-brain levels. Furthermore, we emphasize the importance of open science, adoption of rigorous study designs to improve the internal validity of studies, and the inclusion of diverse samples in neuroimaging studies to comprehensively characterize the impact of mindfulness on brain organization.

Adolescence is a time of increased risk for the onset of internalising problems, particularly in females. However, how individual differences in brain maturation relate to the increased vulnerability for internalising problems in adolescence remains poorly understood due to a scarcity of longitudinal studies.

Adolescent depression is a growing public health concern, and neuroimaging offers a promising approach to its pathology. We focused on the functional connectivity of the amygdala and subgenual anterior cingulate cortex (sgACC), which is theoretically important in major depressive disorder (MDD), but empirical evidence has remained inconsistent. This discrepancy is likely due to the limited statistical power of small sample sizes.

Reduced reward Positivity (RewP), an electroencephalography (EEG) marker elicited by feedback indicating reward, has been associated with an increased risk for depression in adolescence. However, the predictive capability of RewP in predicting the first-lifetime onset of depressive disorders, as opposed to anxiety and suicidal ideation in high-risk populations, has not been thoroughly investigated. In this study, the authors examine if RewP predicts the first-lifetime onset of depression, anxiety, and suicidal ideation over 18 months in familial high-risk adolescents.

We examined the acute effects of intranasal insulin on cognitive function and brain glutathione, a central factor in resistance to oxidative stress, in both participants with early psychosis and healthy participants.

The present study examined EEG microstate alterations and their neural generators during resting state in children with ADHD to explore a potential state biomarker.

A reliable physiological biomarker for Major Depressive Disorder is essential for developing and optimizing neuromodulatory treatment paradigms. This study investigates a passive electrophysiologic biomarker that tracks changes in depressive symptom severity on the order of minutes to hours.

Impulsivity is a multidimensional construct reflecting poor constraint over one's behaviors. Clinical psychology research identifies separable impulsivity dimensions that are each unique transdiagnostic indicators for psychopathology. Yet, despite this apparent clinical importance, the shared and unique neuroanatomical correlates of these factors remain largely unknown. Concomitantly, neuroimaging research identifies variably present human brain structures implicated in cognition and disorder: the folds (sulci) of the cerebral cortex located in the latest developing and most evolutionarily expanded hominoid-specific association cortices.

While the last decade of extensive research revealed the prominent role of the claustrum for mammalian forebrain organization, i.e., widely distributed claustral-cortical circuits coordinate basic cognitive functions such as attention, it is poorly understood whether the claustrum is relevant for schizophrenia and related cognitive symptoms. We hypothesized firstly, that claustrum volumes are lower in schizophrenia and secondarily, that potentially lower volumes mediate patients' attention deficits.

Borderline Personality Disorder (BPD) is a serious psychiatric condition, associated with a high risk for suicide attempts and death by suicide. However, relatively little is known about the pathophysiology of BPD. The metabotropic glutamate receptor type 5 (mGlu5) has been specifically implicated in the pathophysiology of BPD and suicide attempts, with more general roles in emotion regulation, social and cognitive functioning, and pain processing. Here, we examined the relationship between mGlu5 availability, BPD, and suicide attempts in vivo for the first time.

As people live longer, maintaining brain health becomes essential for extending healthspan and preserving independence. Brain degeneration and cognitive decline are major contributors to disability. This study investigates how metabolic health influences brain-age-gap-estimate (brainAGE), which measures the difference between neuroimaging-predicted brain age and chronological age.

Adolescent substance use is a significant predictor of future addiction and related disorders. Understanding neural mechanisms underlying substance use initiation and frequency during adolescence is critical for early prevention and intervention.

The Reward Positivity (RewP) is a sensitive and specific electrophysiological marker of reward receipt. These characteristics make it a compelling candidate marker of dysfunctional reward processing in Major Depressive Disorder (MDD). We previously proposed that the RewP is a temporal nexus for multiple dimensions of reward value, and that a diminished RewP in depression might only reflect a deficit in some of these features. Specifically, we predicted a diminished ventromedial contribution in depression in the context of maintained reward learning.

Post-traumatic stress disorder (PTSD) is a well characterized psychiatric disorder featuring changes in mood and arousal following traumatic events. Prior animal and human studies on social support in the peri-traumatic window demonstrate a buffering effect with regards to acute biological and psychological stress symptoms. Fewer studies have explored the magnitude and mechanism on how early, post-trauma social support can reduce longitudinal PTSD severity.

Repetitive transcranial magnetic stimulation (rTMS), combined with exposure and response prevention (ERP), is a promising treatment modality for treatment-refractory obsessive-compulsive disorder (OCD). Yet, not all patients respond sufficiently to this treatment. We investigated whether brain activation during a symptom provocation task could predict treatment response.

Modafinil is primarily employed to treat narcolepsy but also as an off-label cognitive enhancer. Functional Magnetic Resonance Imaging (fMRI) studies indicate that modafinil modulates the connectivity of neocortical networks primarily involved in attention and executive functions. However, much less is known about the drug's effects on subcortical structures. Following preliminary findings, we evaluated modafinil's activity on the connectivity of distinct cerebellar regions with the neocortex. We assessed the spatial relationship of these effects with the expression of neurotransmitter receptors/transporters.

Identifying the brain mechanisms that underlie the salutary effects of mindfulness meditation and related practices is a critical goal of contemplative neuroscience. Here we suggest that the use of multivariate predictive models represents a promising and powerful methodology that could be better leveraged to pursue this goal. This approach incorporates key principles of multivariate decoding, predictive classification, and model-based analyses, all of which represent a strong departure from conventional brain mapping approaches. We highlight two such research strategies - state induction and neuromarker identification - and provide illustrative examples of how these approaches have been used to examine central questions in mindfulness, such as the distinction between internally directed focused attention and mind wandering, and the role of mindfulness interventions on somatic pain and drug-related cravings. We conclude by discussing important issues to be addressed with future research, including key tradeoffs between using a personalized versus population-based approach to predictive modeling.

There is a renewed interest in taking phenomenology seriously in consciousness research, contemporary psychiatry, and neurocomputation. The neurophenomenology research program, pioneered by Varela (1996), rigorously examines subjective experience using first-person methodologies, inspired by phenomenology and contemplative practices. This review explores recent advancements in neurophenomenological approaches, particularly their application to meditation practices and potential clinical research translations. We first examine innovative multi-dimensional phenomenological assessment tools designed to capture subtle, dynamic shifts in experiential contents and structures of consciousness during meditation. These experience sampling approaches allow shedding new light on the mechanisms and dynamic trajectories of meditation practice and retreat. Secondly, we highlight how empirical studies in neurophenomenology leverage the expertise of experienced meditators to deconstruct aversive and self-related processes, providing detailed first-person reports that guide researchers in identifying novel behavioral and neurodynamic markers associated with pain regulation, self-dissolution and acceptance of mortality. Finally, we discuss a recent framework, deep computational neurophenomenology, which updates the theoretical ambitions of neurophenomenology to "naturalize phenomenology" (Varela, 1997). This framework uses the formalism of deep parametric active inference, where parametric depth refers to a property of generative models that can form beliefs about the parameters of their own modeling process. Collectively, these methodological innovations, centered around rigorous first-person investigation, highlight the potential of epistemologically beneficial mutual constraints among phenomenological, computational, and neurophysiological domains. This could contribute to an integrated understanding of the biological basis of mental illness, its treatment and its tight connections to the lived experience of the patient.

The number of mindfulness-based wellness promotion programs offered by institutions, governments, and through mobile apps, has grown exponentially in the last decade. Yet, the scientific understanding of what mindfulness is and how it works is still evolving. Here I focus on two common mindfulness practices: focused attention (FA) and open-monitoring (OM). First, I summarize what is known about FA and OM meditation at the psychological level. While they share similar emotion regulation goals, they differ in terms of some of their attention regulation goals. Second, I turn to the neuroscientific literature, showing that FA meditation is associated with consistent activations of cortical 'control' network regions and deactivations of cortical 'default' network regions. In contrast, OM meditation seems to be most consistently associated with changes in the functional connectivity patterns of subcortical structures, including the basal ganglia and cerebellum. Finally, I present a novel account of the mental changes during FA and OM meditation as understood from within the Dynamic Framework of Thought (DFT) - a conceptual framework that distinguishes between deliberate and automatic constraints on thought. Although deliberate self-regulation processes are often emphasized in scientific and public discourse on mindfulness, here I argue that mindfulness may primarily involve changes in automatic constraints on thought. In particular, I argue that mindfulness reduces the occurrence of automatized sequences of mental states, or habits of thought. In this way, mindfulness may increase the spontaneity of thought and reduce automatically constrained forms of thought such as rumination and obsessive thought.

Symptoms of depression are associated with impaired interoceptive processing of bodily sensation. The antidepressant effects of subcallosal cingulate deep brain stimulation (SCC DBS) include acute change in bodily sensation, and the SCC target is connected to cortical regions critically involved in interoception. This study tests whether cortical interoceptive processing is modulated by SCC DBS for treatment resistant depression (TRD).