Sequential patterning of dynamic brain states distinguish Parkinson’s disease patients with mild cognitive impairments

NeuroImage Clinical, Journal Year: 2025, Volume and Issue: unknown, P. 103779 - 103779

Published: April 1, 2025

Language: Английский

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Impaired Brain Functional Connectivity and Complexity in Mild Cognitive Decline

Brain Organoid and Systems Neuroscience Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

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Intersection of Brain Complexity, Functional Connectivity, and Neuropsychology: A Systematic Review

Cureus, Journal Year: 2025, Volume and Issue: unknown

Published: March 17, 2025

The definition of brain complexity is based on the principal property coexistence a high degree integration and differentiation within single neural system. Despite fruitful scope emerging studies involving applicability metrics, there notable scarcity research focusing qualitative characteristics conscious systems, which are recognized for their complexity. These expressed in complex cognitive processes, reflecting interaction between distinct neuropsychological domains, such as attention, memory, language, executive functions (EFs). Cognitive flexibility inhibitory control, instance, emerge from dynamic distributed networks, underscoring interdependence functioning. In light this, present study aimed to evaluate how addressing measures functional connectivity complexity, obtained through resting-state magnetic resonance imaging (rs-fMRI), relate aspects. To achieve systematic review was conducted following Preferred Reporting Items Systematic Reviews Meta-Analyses (PRISMA) guidelines PICO (Patient, Intervention, Comparison, Outcome) strategy. Studies were searched PubMed, CAPES Periodicals, Virtual Health Library databases identify relevant published 2019 March 2024. Articles included type, sample characteristics, methodological aspects, specific listed variables. Exclusion criteria encompassed theoretical studies, animal research, children/adolescents, well those psychiatric conditions, psychoactive substance use, intervention evaluations (e.g., transcranial stimulation), disorders consciousness, due limitations applying measures. Possible include exclusion with populations clinical may limit generalizability findings broader, more diverse groups. After selection criteria, 30 articles chosen fully analyzed. results allowed establishment landscape this area, initially highlighting greater number focused compared directed at Additionally, EFs identified most frequently addressed domain consistent commonly used evaluative research: Trail Making Test (TMT), Symbol Digit Modalities (SDMT), verbal fluency tasks. suggest that an area still its early stages development, gaps in-depth understanding relationships network metrics

Language: Английский

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Cognitive Control and Consciousness in Open Biological Systems

Biosystems, Journal Year: 2025, Volume and Issue: unknown, P. 105457 - 105457

Published: April 1, 2025

Thermodynamically open biological systems not only sustain a life-supporting mutual relationship with their environment by exchanging matter and energy but constantly seek information to navigate probabilistic changes in surroundings. This work argues that cognition conscious thought should be viewed isolation rather as parts of an integral control identify act upon meaningful, semantic viability. Under this framework, the development key cognitive capacities centralized nervous resulting behavior are categorized into distinct Markov decision processes: decision-making partially observable sensory exteroceptive interoceptive information, learning memory, symbolic communication. It is proposed state arises from mechanism for speech production resembling actuator engineered systems. Also known phonological loop, feedback motor cortex provides third type flowing cortex. The continuous, dissipative loop updates fleeting working memory humans advanced layer through sense self, agency perception flow time. These define degrees fitness evolution information-powered organisms.

Language: Английский

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Abnormal brain entropy dynamics in ADHD

Journal of Affective Disorders, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 1, 2024

Language: Английский

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Which voxel-wise resting state fMRI metric is the most discriminatory for concussion? A secondary analysis.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: July 13, 2024

Background Concussions are among the most common sport-related injuries. While symptoms remain widely studied outcome, other measures such as resting state functional magnetic resonance imaging (rsfMRI) being increasingly to better understand neurophysiology of concussion. The basis for rsfMRI is temporal blood oxygen level dependent (BOLD) signal, which shows complex changes in brain activity over course a scan. BOLD signal can be operationalized many ways, effects how data analyzed and interpreted. It therefore important neuroimaging researchers metric discriminatory between concussion subjects healthy controls, knowledge may aid design future studies. primary purpose our study was employ random forest approach determine (of we selected six) controls. As secondary objective, aimed anatomical regions interest were these two groups.Methods We performed analysis prospectively collected (n = 28), alongside control retrieved through an open-source repository 379). After pre-processing CONN 21a, six metrics computed: mean, standard deviation, Lyapunov exponent, sample entropy, amplitude low frequency fluctuations (ALFF), fractional ALFF (fALFF). Using 60/20/20 (training/testing/validation) split data, models built using 'scikit-learn' 'imbalanced-learn' subjects.Results found that metric, with ROC AUC 0.993. With respect interest, from cerebellum, vermis, putamen (left) often discriminatory.Conclusions Our provides insight into groups, well help distinguish subjects. This inform new research studies take aim at assessing or monitoring rsfMRI.Trial registration: Not applicable.

Language: Английский

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Reconfigurations of Dynamic Functional Network Connectivity after 1HZ repetitive transcranial magnetic stimulation in Insomnia Disorder

Sleep Medicine, Journal Year: 2024, Volume and Issue: 126, P. 239 - 247

Published: Dec. 19, 2024

Language: Английский

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Complexity-Based Analysis in Biomedical Image Analysis: A Review

Fractals, Journal Year: 2024, Volume and Issue: 32(06)

Published: Jan. 1, 2024

This review paper provides an overview of complexity-based analysis techniques in biomedical image analysis, examining their theoretical foundations, computational methodologies, and practical applications across various medical imaging modalities. Through a synthesis relevant literature, we explore the utility metrics such as fractal dimension, entropy measures, network characterizing complexity images (e.g. magnetic resonance (MRI), computed tomography (CT) scans, X-ray images). Additionally, discuss clinical implications areas cancer detection, neuroimaging, cardiovascular imaging, highlighting its potential to improve diagnostic accuracy, prognostic assessment, treatment outcomes. The concludes that significantly enhances interpretability power paving way for more personalized precise care. By elucidating role this aims provide insights into current trends, challenges, future directions rapidly evolving field.

Language: Английский

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The utility of electroencephalographic measures in obsession compulsion disorder

Biomedical Signal Processing and Control, Journal Year: 2024, Volume and Issue: 100, P. 107113 - 107113

Published: Nov. 4, 2024

Language: Английский

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