Cargando…

Exploiting the Brain’s Network Structure for Automatic Identification of ADHD Subjects

Attention Deficit Hyperactive Disorder (ADHD) is a common behavioral problem affecting children. In this work, we investigate the automatic classification of ADHD subjects using the resting state Functional Magnetic Resonance Imaging (fMRI) sequences of the brain. We show that the brain can be model...

Descripción completa

Detalles Bibliográficos
Autores principales:	Dey, Soumyabrata, Rao, A. Ravishankar, Shah, Mubarak
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Cornell University 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10312905/ https://www.ncbi.nlm.nih.gov/pubmed/37396598

Ejemplares similares

Exploiting the brain's network structure in identifying ADHD subjects
por: Dey, Soumyabrata, et al.
Publicado: (2012)

Attributed graph distance measure for automatic detection of attention deficit hyperactive disordered subjects
por: Dey, Soumyabrata, et al.
Publicado: (2014)

Structural brain network topology underpinning ADHD and response to methylphenidate treatment
por: Griffiths, Kristi R., et al.
Publicado: (2021)

Structural Covariance Networks in Children with Autism or ADHD
por: Bethlehem, R. A. I., et al.
Publicado: (2017)

HAEPG: An Automatic Multi-hop Exploitation Generation Framework
por: Zhao, Zixuan, et al.
Publicado: (2020)

Network, Anatomical, and Non-Imaging Measures for the Prediction of ADHD Diagnosis in Individual Subjects
por: Bohland, Jason W., et al.
Publicado: (2012)

Automatic identification of species with neural networks
por: Hernández-Serna, Andrés, et al.
Publicado: (2014)

ADHD symptoms are associated with the modular structure of intrinsic brain networks in a representative sample of healthy adults
por: Hilger, Kirsten, et al.
Publicado: (2019)

EEG-Based Emotion Recognition by Exploiting Fused Network Entropy Measures of Complex Networks across Subjects
por: Yao, Longxin, et al.
Publicado: (2021)

Automatic Calibration of an Around View Monitor System Exploiting Lane Markings
por: Choi, Kyoungtaek, et al.
Publicado: (2018)

Lifespan associations of resting-state brain functional networks with ADHD symptoms
por: Wang, Rong, et al.
Publicado: (2022)

Structural brain imaging correlates of ASD and ADHD across the lifespan: a hypothesis-generating review on developmental ASD–ADHD subtypes
por: Rommelse, Nanda, et al.
Publicado: (2016)

Automatic radar-based 2-D localization exploiting vital signs signatures
por: Mercuri, Marco, et al.
Publicado: (2022)

Automatic Extraction and Detection of Characteristic Movement Patterns in Children with ADHD Based on a Convolutional Neural Network (CNN) and Acceleration Images
por: Muñoz-Organero, Mario, et al.
Publicado: (2018)

Fully-automatic blood-typing chip exploiting bubbles for quick dilution and detection
por: Yamamoto, Ken, et al.
Publicado: (2020)

Attentional selection predicts rapid automatized naming ability in Chinese-speaking children with ADHD
por: Wang, Encong, et al.
Publicado: (2017)

Evaluation of Brain Tortuosity Measurement for the Automatic Multimodal Classification of Subjects with Alzheimer's Disease
por: Barbará-Morales, Eduardo, et al.
Publicado: (2020)

AIM-CICs: an automatic identification method for cell-in-cell structures based on convolutional neural network
por: Tang, Meng, et al.
Publicado: (2022)

Structural brain morphometry as classifier and predictor of ADHD and reward-related comorbidities
por: van Rooij, Daan, et al.
Publicado: (2022)

Brain Morphology in Children with Epilepsy and ADHD
por: Saute, Ricardo, et al.
Publicado: (2014)

Analysis and implementation of semi-automatic model for vulnerability exploitations of threat agents in NIST databases
por: Sharma, Gaurav, et al.
Publicado: (2022)

Convolutional Neural Networks for the Automatic Identification of Plant Diseases
por: Boulent, Justine, et al.
Publicado: (2019)

Exploiting Temporal Network Structures of Human Interaction to Effectively Immunize Populations
por: Lee, Sungmin, et al.
Publicado: (2012)

Robust brain network identification from multi-subject asynchronous fMRI data
por: Li, Jian, et al.
Publicado: (2020)

ADHD and attentional control: Impaired segregation of task positive and task negative brain networks
por: Mills, Brian D., et al.
Publicado: (2018)

Brain Structural Correlates of Intelligence in Attention Deficit Hyperactivity Disorder (ADHD) Individuals
por: Faridi, Farnaz, et al.
Publicado: (2022)

Thyroid profile and autoantibodies in Type 1 diabetes subjects: A perspective from Eastern India
por: Sanyal, Debmalya, et al.
Publicado: (2017)

European consensus statement on diagnosis and treatment of adult ADHD: The European Network Adult ADHD
por: Kooij, Sandra JJ, et al.
Publicado: (2010)

Extreme Learning Machine-Based Classification of ADHD Using Brain Structural MRI Data
por: Peng, Xiaolong, et al.
Publicado: (2013)

Exploiting graphlet decomposition to explain the structure of complex networks: the GHuST framework
por: Espejo, Rafael, et al.
Publicado: (2020)

Human subjects exploit a cognitive map for credit assignment
por: Moran, Rani, et al.
Publicado: (2021)

Capturing the dynamics of response variability in the brain in ADHD
por: van Belle, Janna, et al.
Publicado: (2014)

The identification and management of ADHD offenders within the criminal justice system: a consensus statement from the UK Adult ADHD Network and criminal justice agencies
por: Young, Susan J, et al.
Publicado: (2011)

Performance of a modified magnetostrictive energy harvester in mechanical vibration
por: Dey, Subhasish, et al.
Publicado: (2019)

Vicus: Exploiting local structures to improve network-based analysis of biological data
por: Wang, Bo, et al.
Publicado: (2017)

Functional Brain Connectivity Differences Between Different ADHD Presentations: Impaired Functional Segregation in ADHD-Combined Presentation but not in ADHD-Inattentive Presentation
por: Ghaderi, Amir Hossein, et al.
Publicado: (2017)

Financial Exploitation Is Associated With Structural and Functional Brain Differences in Healthy Older Adults
por: Spreng, R. Nathan, et al.
Publicado: (2017)

Convolutional Neural Network for Automatic Identification of Plant Diseases with Limited Data
por: Afifi, Ahmed, et al.
Publicado: (2020)

Objective Analysis of Movement in Subjects with ADHD. Multidisciplinary Control Tool for Students in the Classroom
por: Sempere-Tortosa, Mireia, et al.
Publicado: (2020)

Haruspex: A Neural Network for the Automatic Identification of Oligonucleotides and Protein Secondary Structure in Cryo‐Electron Microscopy Maps
por: Mostosi, Philipp, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_5na0ffot163kdgfgr41jb28v0j