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Related papers: Schizophrenia - a parameters' game?

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The development of diagnostic models is gaining traction in the field of psychiatric disorders. Recently, machine learning classifiers based on resting-state functional magnetic resonance imaging (rs-fMRI) have been developed to identify…

Machine Learning · Computer Science 2025-10-06 Tianzheng Hu , Qiang Li , Shu Liu , Vince D. Calhoun , Guido van Wingen , Shujian Yu

Pain is among the most salient of experiences while also, curiously, being among the most malleable. A large body of research has revealed that a multitude of explicit strategies can be used to effectively alter the attention-demanding…

Neurons and Cognition · Quantitative Biology 2017-04-11 Aaron Kucyi

Mild cognitive impairment (MCI) leading to dementia results in a constellation of psychiatric disorders including depression, mood disorders, schizophrenia and others. With increasing age, mild cognitive impairment leads to increased…

Neurons and Cognition · Quantitative Biology 2023-08-10 Sheng Mai

Recurrent major mood episodes and subsyndromal mood instability cause substantial disability in patients with bipolar disorder. Early identification of mood episodes enabling timely mood stabilisation is an important clinical goal. Recent…

Machine Learning · Statistics 2017-08-04 Andrey Kormilitzin , Kate E. A. Saunders , Paul J. Harrison , John R. Geddes , Terry Lyons

The symptom checking systems inquire users for their symptoms and perform a rapid and affordable medical assessment of their condition. The basic symptom checking systems based on Bayesian methods, decision trees, or information gain…

Computation and Language · Computer Science 2022-06-03 Aleksandr Nesterov , Bulat Ibragimov , Dmitriy Umerenkov , Artem Shelmanov , Galina Zubkova , Vladimir Kokh

Due to the complexity of the human body, most diseases present a high inter-personal variability in the way they manifest, i.e. in their phenotype, which has important clinical repercussions - as for instance the difficulty in defining…

Physics and Society · Physics 2018-06-06 Massimiliano Zanin , Juan Manuel Tuñas , Ernestina Menasalvas

Schizophrenia (SZ) is a severe brain disorder marked by diverse cognitive impairments, abnormalities in brain structure, function, and genetic factors. Its complex symptoms and overlap with other psychiatric conditions challenge traditional…

Computer Vision and Pattern Recognition · Computer Science 2024-07-30 Nagur Shareef Shaik , Teja Krishna Cherukuri , Vince D. Calhoun , Dong Hye Ye

Parkinson's is a Neurologic disorder that not only affects the human body but also their social and personal life. Especially children having the Parkinson's disease come up with infinite difficulties in different areas of life mostly in…

Computers and Society · Computer Science 2023-08-15 Mujahid Rafiq , Ibrar Hussain , Muhammad Arif , Kinza Sardar , Ahsan Humayun

In psychiatry, we often speak of constructing "models." Here we try to make sense of what such a claim might mean, starting with the most fundamental question: "What is (and isn't) a model?". We then discuss, in a concrete measurable sense,…

Neurons and Cognition · Quantitative Biology 2020-04-15 LR Mujica-Parodi , HH Strey

Brain disorders in the early and late life of humans potentially share pathological alterations in brain functions. However, the key evidence from neuroimaging data for pathological commonness remains unrevealed. To explore this hypothesis,…

Artificial Intelligence · Computer Science 2023-02-24 Mianxin Liu , Jingyang Zhang , Yao Wang , Yan Zhou , Fang Xie , Qihao Guo , Feng Shi , Han Zhang , Qian Wang , Dinggang Shen

The cerebral cortex spontaneously displays different patterns of activity that evolve over time according to the brain state. Sleep, wakefulness, resting states, and attention are examples of a wide spectrum of physiological states that can…

Neurofeedback is a form of brain training in which subjects are fed back information about some measure of their brain activity which they are instructed to modify in a way thought to be functionally advantageous. Over the last twenty…

Neurons and Cognition · Quantitative Biology 2018-05-15 David Papo

Functional connectivity plays an essential role in modern neuroscience. The modality sheds light on the brain's functional and structural aspects, including mechanisms behind multiple pathologies. One such pathology is schizophrenia which…

Neurons and Cognition · Quantitative Biology 2022-06-07 Maksim Zhdanov , Saskia Steinmann , Nico Hoffmann

Due to the worldwide accessibility to the Internet along with the continuous advances in mobile technologies, physical and digital worlds have become completely blended, and the proliferation of social media platforms has taken a leading…

Computation and Language · Computer Science 2022-02-08 Esteban A. Ríssola , Mohammad Aliannejadi , Fabio Crestani

Chronic pain is a pervasive disorder which is often very disabling and is associated with comorbidities such as depression and anxiety. Neuropathic Pain (NP) is a common sub-type which is often caused due to nerve damage and has a known…

Nearly one in five adolescents currently live with a diagnosed mental or behavioral health condition, such as anxiety, depression, or conduct disorder, underscoring the urgency of developing accurate and interpretable diagnostic tools.…

Machine Learning · Computer Science 2025-10-07 Song Wang , Zhenyu Lei , Zhen Tan , Jundong Li , Javier Rasero , Aiying Zhang , Chirag Agarwal

The human brain cortical layer has a convoluted morphology that is unique to each individual. Characterization of the cortical morphology is necessary in longitudinal studies of structural brain change, as well as in discriminating…

Neurons and Cognition · Quantitative Biology 2019-02-21 Sevil Maghsadhagh , Anders Eklund , Hamid Behjat

Major depressive disorder persistently stands as a major public health problem. While some progress has been made toward effective treatments, the neural mechanisms that give rise to the disorder remain poorly understood. In this…

Neurons and Cognition · Quantitative Biology 2025-07-23 Matthew Botvinick , Zeb Kurth-Nelson , Timothy Muller , Will Dabney

Dynamical brain state transitions are critical for flexible working memory but the network mechanisms are incompletely understood. Here, we show that working memory entails brainwide switching between activity states. The stability of…

The brain is a complex organ characterized by heterogeneous patterns of structural connections supporting unparalleled feats of cognition and a wide range of behaviors. New noninvasive imaging techniques now allow these patterns to be…

Neurons and Cognition · Quantitative Biology 2020-04-03 Christopher W. Lynn , Danielle S. Bassett
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