Matthew J. Hall

Machine learning-based identification of abnormal functional connectivity in obesity across different metabolic states

Yuan Yue, P. J. Manning, Dirk J. M. K. De Ridder, Matthew J. Hall et autres

Obesity is a major health concern linked to chronic conditions such as diabetes and cardiovascular disease. However, most neurological studies have focused on specific metabolic states, limiting understanding of how brain function changes from fasting to satiety. Furthermore, hypothesis-driven approaches may introduce …

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EEG connectivity features associated with fibromyalgia revealed by machine learning

Jean Li, Jeremiah D. Deng, Divya Bharatkumar Adhia, Matthew J. Hall et autres

Introduction: We present connectivity-based features associated with fibromyalgia, derived from raw EEG data at the sensor level. Methods: These connectivity features were identified through a data-driven method, employing machine learning. We carried out some automatic, moderate pre-processing and extracted spectral connectivity features. …

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NCOG-65. Perilesional task-based gamma band modulations are associated with postoperative language decline following resection of eloquent brain tumors

Israt Tasnim, Kyle R. Noll, Priscella Asman, Chandra Swamy et autres

Abstract BACKGROUND Intraoperative electrocorticography (ECoG) may aid localization of language function and help guide eloquent brain tumor resection. However, relevance of ECoG findings to language outcomes remains unclear. METHODS Fifteen patients with brain tumors (Mdn age=60; 67% high-grade glioma) underwent awake craniotomy …

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509 Electrocorticogram (ECoG) Gamma-band Modulations Induced by Cognitive-Linguistic Tasks for Intraoperative Functional Language Mapping During Awake Craniotomy

Sujit S. Prabhu, Israt Tasnim, Priscella Asman, Matthew J. Hall et autres

INTRODUCTION: DCS is the gold standard of intraoperative functional language mapping but in predicting language functions and post-surgical outcomes. Moreover, DCS mapping can induce seizure with prolonged usage. METHODS: Eleven subjects underwent either temporal (eight) or frontal (three) lobe tumor resection surgeries …

Modified Feature Selection for Improved Classification of Resting-State Raw EEG Signals in Chronic Knee Pain

Jean Li, Dirk De Ridder, Divya Bharatkumar Adhia, Matthew J. Hall et autres

OBJECTIVE: Diagnosing pain in research and clinical practices still relies on self-report. This study aims to develop an automatic approach that works on resting-state raw EEG data for chronic knee pain prediction. METHOD: A new feature selection algorithm called "modified Sequential Floating …

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NCOG-34. CORRESPONDENCE BETWEEN INTRAOPERATIVE GAMMA BAND ELECTROCORTICOGRAMS AND DIRECT ELECTRICAL STIMULATION ACROSS DIVERSE NAMING TASKS IN PATIENTS WITH LANGUAGE-ELOQUENT BRAIN TUMORS

Kyle R. Noll, Israt Tasnim, Priscella Asman, Chandra Swamy et autres

Abstract BACKGROUND Few studies have examined concordance between intraoperative electrocorticography (ECoG) and direct electrical stimulation (DES) language mapping, especially across varied naming tasks. METHODS Twelve patients (Mdn age=59; 75% HGG) underwent awake craniotomy with ECoG and DES language mapping. Mapping utilized iPad …

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The decline, fall, and rise of a large urban colonising bird

Matthew J. Hall, John M. Martin, Alicia Burns, Dieter F. Hochuli

Context The process of urbanisation results in dramatic landscape changes with long-lasting and sometimes irreversible consequences for the biota as urban sensitive species are eliminated. The Australian brush-turkey (Alectura lathami) is a recent urban colonist despite atypical traits for an urban adapter. …

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Real-Time Intraoperative Sensorimotor Cortex Localization and Consciousness Assessment with the Spatial and Spectral Profile of the Median Nerve Somatosensory Evoked Potentials

Priscella Asman, Giuseppe Pellizzer, Sujit S. Prabhu, Sudhakar Tummala et autres

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EEG-Based Cortical Alterations in Individuals With Chronic Knee Pain Secondary to Osteoarthritis: A Cross-sectional Investigation

Jerin Mathew, Divya Bharatkumar Adhia, Matthew J. Hall, Dirk De Ridder et autres

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Mound‐building behaviour of a keystone bioturbator alters rates of leaf litter decomposition and movement in urban reserves

Matthew J. Hall, John M. Martin, Alicia Burns, Dieter F. Hochuli

Abstract Bioturbation, the disturbance of soil and litter by digging animals plays an important role for a variety of species and ecological processes in many ecosystems. The majority of studies globally on the ecosystem engineering effects of digging vertebrates have focussed on …

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Modified Feature Selection for Improved Classification of Resting-State Raw EEG Signals in Chronic Knee Pain

Jean Li, Dirk De Ridder, Divya Bharatkumar Adhia, Matthew J. Hall et autres

\textit{Objective:} Diagnosing pain in research and clinical practices still relies on self-report. This study aims to develop an automatic approach that works on resting-state raw EEG data for chronic knee pain prediction. \textit{Method:} A new feature selection algorithm called ``modified Sequential Floating …

High-Definition Transcranial Infraslow Pink-Noise Stimulation Can Influence Functional and Effective Cortical Connectivity in Individuals With Chronic Low Back Pain: A Pilot Randomized Placebo-Controlled Study

Divya Bharatkumar Adhia, Ramakrishnan Mani, John N. J. Reynolds, Matthew J. Hall et autres

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