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Attention-deficit/hyperactivity disorder (ADHD) involves altered neurodevelopment, yet the underlying mechanisms remain elusive. Aperiodic EEG components may reflect neural functions like excitatory/inhibitory balance, but their age-related differences in ADHD and link to default mode network (DMN) dysfunction are unexplored.
Methods
We included 110 medication-naïve children/adolescents with ADHD and 100 matched typically developing peers aged 6–14 years. Aperiodic parameters (exponent, offset) were derived, and source-localized alpha-band DMN coherence was computed. The sample was stratified into middle childhood (6–9 years) and early adolescence (10–14 years) subgroups to delineate age-dependent patterns.
Results
ADHD showed globally increased exponent and offset versus controls. Normative age-related decreases were significantly attenuated in ADHD, indicating divergence from typical development. Age-stratified analyses revealed distinct patterns: in middle childhood, increased frontal offset correlated positively with inattention (right hemisphere) and hyperactivity/impulsivity (left hemisphere); in early adolescence, it associated with reduced coherence in two DMN pathways (right mSFG–left hippocampus and left mSFG–right MTG).
Conclusions
Aperiodic activity differences in ADHD are age-dependent. Younger children exhibit focal, symptom-linked frontal abnormalities, whereas adolescents show pervasive network-level dysregulation. Aperiodic measures may capture age-varying ADHD pathophysiology, informing developmentally targeted biomarkers.
Resting-state networks (RSNs) consist of coherent spontaneous activity patterns that support a wide range of sensorimotor and higher-order cognitive functions. In schizophrenia (SZ), RSN alterations reflect disruptions in the brain’s functional architecture. Given the heterogeneity of SZ, accurate spatial mapping of RSNs at the individual level is crucial for characterizing altered brain connectivity in a more personalized manner. To achieve this, we used single-subject independent component analysis (ICA) to extract RSNs at the individual level, preserving unique functional patterns and accounting for variability among SZ patients.
Methods
We analyzed a resting-state functional magnetic resonance imaging dataset from 74 SZ patients and 74 matched healthy controls (HCs) obtained from the publicly available COINS database. Using single-subject ICA, we extracted 14 distinct RSNs associated with sensory, motor, and higher-order cognitive functions. Voxel-wise statistical comparisons were performed to identify spatial differences between the groups.
Results
The SZ group exhibited widespread RSN alterations in regions associated with visual, motor, and cognitive processing. Significant spatial differences were observed within each network, with the most extensive changes occurring in the somatomotor network and three cognitive networks: the cingulo-insular, medial prefrontal, and left frontoparietal networks. Within the default mode network, differences between SZ patients and HC were observed exclusively in visual areas.
Conclusions
Single-subject ICA provides a valuable approach for investigating RSN alterations in SZ and enables a detailed, individualized characterization of functional connectivity disruptions. The extensive connectivity alterations in visual, motor, and cognitive networks highlight the complex interplay among these systems in SZ.
Employing a developmental psychopathology framework, we tested the utility of the hormesis model in examining the strengthening of children and youth through limited levels of adversity in relation to internalizing and externalizing outcomes within a brain-by-development context.
Methods:
Analyzing data from the Adolescent Brain and Cognitive Development study (N = 11,878), we formed latent factors of threat, deprivation, and unpredictability. We examined linear and nonlinear associations between adversity dimensions and youth psychopathology symptoms and how change of resting-state functional connectivity (rsFC) in the default mode network (DMN) from Time 1 to Time 5 moderates these associations.
Results:
A cubic association was found between threat and youth internalizing problems; low-to-moderate family conflict levels reduced these problems. Deprivation also displayed a cubic relation with youth externalizing problems, with moderate deprivation levels associated with fewer problems. Unpredictability linearly increased both problem types. Change in DMN rsFC significantly moderated the cubic link between threat levels and internalizing problems, with declining DMN rsFC levels from Time 1 to Time 5 facilitating hormesis. Hormetic effects peaked earlier, emphasizing the importance of sensitive periods and developmental timing of outcomes related to earlier experiences.
Conclusions:
Strengthening through limited environmental adversity is crucial for developing human resilience. Understanding this process requires considering both linear and nonlinear adversity-psychopathology associations. Testing individual differences by brain and developmental context will inform preventive intervention programming.
Patients with geriatric depression exhibit a spectrum of symptoms ranging from mild to severe cognitive impairment which could potentially lead to the development of Alzheimer’s disease (AD). The aim of the study is to assess the alterations of the default mode network (DMN) in remitted geriatric depression (RGD) patients and whether it could serve as an underlying neuropathological mechanism associated with the risk of progression of AD.
Design:
Cross-sectional study.
Participants:
A total of 154 participants, comprising 66 RGD subjects (which included 27 patients with comorbid amnestic mild cognitive impairment [aMCI] and 39 without aMCI [RGD]), 45 aMCI subjects without a history of depression (aMCI), and 43 matched healthy comparisons (HC), were recruited.
Measurements:
All participants completed neuropsychological tests and underwent resting-state functional magnetic resonance imaging (fMRI). Posterior cingulate cortex (PCC)-seeded DMN functional connectivity (FC) along with cognitive function were compared among the four groups, and correlation analyses were conducted.
Results:
In contrast to HC, RGD, aMCI, and RGD-aMCI subjects showed significant impairment across all domains of cognitive functions except for attention. Furthermore, compared with HC, there was a similar and significant decrease in PCC-seed FC in the bilateral medial superior frontal gyrus (M-SFG) in the RGD, aMCI, and RGD-aMCI groups.
Conclusions:
The aberrations in rsFC of the DMN were associated with cognitive deficits in RGD patients and might potentially reflect an underlying neuropathological mechanism for the increased risk of developing AD. Therefore, altered connectivity in the DMN could serve as a potential neural marker for the conversion of geriatric depression to AD.
A few brave researchers ventured into the arena of creative cognition, with three in particular – Kenneth Heilman (2003), Arne Dietrich (2004), and Alice Flaherty (2005) – putting forth specific theoretical constructs amenable to empirical research. These theories emerged at the front end of a large body of neuroimaging research regarding brain correlates of creative cognition emerging in the early part of the twenty-first century. Hundreds of studies followed these pioneers’ thoughtful attempts to isolate creative capacity within brain structure and function. Two major questions are addressed: (1) How did their theories hold up in light of empirical data? (2) Do their theoretical constructs have implications for the nascent hypothesizing around imagination ability?
Even healthy older people undergo some cognitive decline with real-world consequences, although the neural plasticity persisting in older brains indicates substrates for interventions. Yet there is no consensus on cognitive interventions. The literature on cognitive training is equivocal regarding the factors important in far transfer of training to untrained abilities. That there have been few hypotheses on mechanisms underlying far transfer of training is an obstacle to the design of cognitive interventions. We evaluate two hypotheses: (1) updating and (2) distraction suppression. (1) The updating hypothesis argues that updating and monitoring of working memory representations is an important mechanism of far transfer of training. Two meta-analyses of n-back training tasks found small, but significant, effect sizes in favor of transfer to fluid intelligence (Gf) in young and older people. However, direct tests of the updating hypothesis supported only narrow transfer effects. (2) The distraction suppression hypothesis argues that suppression of irrelevant events has a central role in cognitive processing. Perceptual discrimination training improved distraction suppression, enhanced neural activity associated with task-relevant targets, suppressed neural activity associated with task-irrelevant distractions, improved brain-stem evoked potential firing patterns and “speech-in-noise” perception, transferred to working memory, and reduced risk of dementia in a large-scale study. The evidence supports the conclusion that the strongest far transfer of cognitive training would be achieved by combined updating and distraction suppression training. Even small effect sizes of transfer to Gf can be beneficial to older people, consistent with the growing evidence for the role of lifestyle factors, including educational attainment, in risk of Alzheimer’s disease.
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