Aini Ismafairus Abd Hamid

ORCID: 0000-0002-6809-8433
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About
Contact & Profiles
Research Areas
  • Functional Brain Connectivity Studies
  • EEG and Brain-Computer Interfaces
  • Neural dynamics and brain function
  • Traumatic Brain Injury Research
  • Advanced MRI Techniques and Applications
  • Cognitive and developmental aspects of mathematical skills
  • Traumatic Brain Injury and Neurovascular Disturbances
  • Advanced Neuroimaging Techniques and Applications
  • Transcranial Magnetic Stimulation Studies
  • Neural and Behavioral Psychology Studies
  • Neuroscience and Music Perception
  • Neuroscience, Education and Cognitive Function
  • Neonatal and fetal brain pathology
  • Epilepsy research and treatment
  • Motor Control and Adaptation
  • Hemispheric Asymmetry in Neuroscience
  • Visual perception and processing mechanisms
  • Mind wandering and attention
  • Vestibular and auditory disorders
  • Digital Imaging for Blood Diseases
  • Gastrointestinal motility and disorders
  • Impact of Technology on Adolescents
  • Reading and Literacy Development
  • Retinal Imaging and Analysis
  • Perfectionism, Procrastination, Anxiety Studies

Universiti Sains Malaysia
2015-2024

Hospital Universiti Sains Malaysia
2001-2024

Sultan Zainal Abidin University
2022

Montreal Neurological Institute and Hospital
2022

National University of Malaysia
2010-2021

Otto-von-Guericke University Magdeburg
2014-2019

Katrin Amunts Markus Axer Swati Banerjee Lise Bitsch Jan G. Bjaalie and 95 more Philipp Brauner Andrea Brovelli Navona Calarco Marcel Carrère Svenja Caspers Christine J. Charvet Sven Cichon Roshan Cools Irene Costantini Egidio D’Angelo G. De Bonis Gustavo Deco Javier DeFelipe Alain Destexhe Timo Dickscheid Markus Diesmann Emrah Düzel Simon B. Eickhoff Gaute T. Einevoll Damian Eke Andreas K. Engel Alan C. Evans Kathinka Evers Nataliia Fedorchenko Stephanie J. Forkel J. Fousek Angela D. Friederici Karl Friston Steve Furber Liesbet Geris Rainer Goebel Onur Güntürkün Aini Ismafairus Abd Hamid Christina Herold Claus C. Hilgetag Sabine M. Hölter Yannis Ioannidis Viktor Jirsa Sriranga Kashyap Burkhard S. Kasper Alban de Kerchove d’Exaerde Roxana N. Kooijmans István Koren Jeanette Hellgren Kotaleski Gregory Kiar Wouter Klijn Lars Klüver Alois Knoll Željka Krsnik Julia Kämpfer Matthew E. Larkum Marja‐Leena Linne Thomas Lippert Jafri Malin Abdullah Paola Di Maio Neville Magielse Pierre Maquet Anna Letizia Allegra Mascaro Daniele Marinazzo Jorge F. Mejías Andreas Meyer‐Lindenberg Michele Migliore Judith Michael Yannick Morel Fabrice O. Morin Lars Muckli Guy Nagels Lena Oden Nicola Palomero‐Gallagher Fanis Panagiotaropoulos Pier Stanislao Paolucci Cyriel M. A. Pennartz Liesbet M. Peeters Spase Petkoski Nicolai Petkov Lucy S. Petro Mihai A. Petrovici Giovanni Pezzulo Pieter R. Roelfsema Laurence Ris Petra Ritter Kathleen S. Rockland Stefan Rotter Andreas Rowald Sabine Ruland Philippe Ryvlin Arleen Salles Maria V. Sánchez‐Vives Johannes Schemmel Walter Senn Alexandra A. de Sousa Felix Ströckens Bertrand Thirion Kâmil Uludağ Simo Vanni

Abstract In recent years, brain research has indisputably entered a new epoch, driven by substantial methodological advances and digitally enabled data integration modelling at multiple scales—from molecules to the whole brain. Major are emerging intersection of neuroscience with technology computing. This science combines high-quality research, across scales, culture multidisciplinary large-scale collaboration, translation into applications. As pioneered in Europe’s Human Brain Project...

10.1162/imag_a_00137 article EN cc-by Imaging Neuroscience 2024-04-01

Optometrists, ophthalmologists, orthoptists, and other trained medical professionals use fundus photography to monitor the progression of certain eye conditions or diseases. Segmentation vessel tree is an essential process retinal analysis. In this paper, interactive blood segmentation from image based on Canny edge detection proposed. Semi-automated specific vessels can be done by simply moving cursor across a particular vessel. The pre-processing stage includes green color channel...

10.3390/s21196380 article EN cc-by Sensors 2021-09-24

This paper extends frequency domain quantitative electroencephalography (qEEG) methods pursuing higher sensitivity to detect Brain Developmental Disorders. Prior qEEG work lacked integration of cross-spectral information omitting important functional connectivity descriptors. Lack geographical diversity precluded accounting for site-specific variance, increasing nuisance variance. We ameliorate these weaknesses. (i) Create lifespan Riemannian multinational norms tensors. These result from...

10.1016/j.neuroimage.2022.119190 article EN cc-by-nc-nd NeuroImage 2022-04-07

Research suggests that white noise may facilitate auditory working memory performance via stochastic resonance. Stochastic resonance is quantified by plotting cognitive as a function of intensity. The plot would appear an inverted U-curve, is, moderate beneficial for whereas too low and much attenuates performance. However, knowledge about the optimal signal-to-noise ratio (SNR) needed to occur in brain, particularly neural network memory, limited demand further investigation. In present...

10.1016/j.heliyon.2019.e02444 article EN cc-by-nc-nd Heliyon 2019-09-01

Traumatic brain injury (TBI) is one of the injuries that can bring serious consequences if medical attention has been delayed. Commonly, analysis computed tomography (CT) or magnetic resonance imaging (MRI) required to determine severity a moderate TBI patient. However, due rising number patients these days, employing CT scan MRI every potential patient not only expensive, but also time consuming. Therefore, in this paper, we investigate possibility using electroencephalography (EEG) with...

10.1155/2020/8923906 article EN cc-by Computational Intelligence and Neuroscience 2020-03-11

The debilitating effect of traumatic brain injury (TBI) extends years after the initial and hampers recovery process quality life. In this study, we explore functional reorganization default mode network (DMN) those affected with non-severe TBI. Traumatic is a wide-spectrum disease that has heterogeneous effects on its victims impacts everyday functioning. disruption TBI been established, but link to causal effective connectivity remains be explored. This study investigated differences in...

10.3389/fnins.2022.833320 article EN cc-by Frontiers in Neuroscience 2022-03-28

The Helicobacter pylori infection rate was determined in 124 consecutive patients with duodenal ulcers (DU), gastric (GU), erosions or diagnosed by endoscopy at a single institution north-eastern peninsular Malaysia 1996–1997. Biopsies of the antrum and body were subjected to urease test, Gram staining impression smears, culture histopathological examination. Serology undertaken on all using locally validated commercial kit. Infection defined as positive result least one test. rates 20%...

10.1016/s0035-9203(01)90319-0 article EN Transactions of the Royal Society of Tropical Medicine and Hygiene 2001-01-01

Background The auditory and prefrontal cortex supports working memory processing. Many neuroimaging studies have shown hemispheric lateralization of brain regions in the presence background noise, but few focused on these during stochastic resonance. Purpose To investigate effects resonance regions, also to examine brain‐behavior relationship Study Type Cross‐sectional. Population/Subjects Forty healthy young adults (18–24 years old). Field Strength/Sequence 3.0T, T 1 , 2 *‐weighted imaging....

10.1002/jmri.27016 article EN Journal of Magnetic Resonance Imaging 2019-12-03

Traumatic brain injury (TBI) is one of the common injuries when human head receives an impact due to accident or fall and most frequently submitted insurance claims. However, it often always misused individuals attempt fraud claim by providing false medical conditions. Therefore, there a need for instant condition classification system. This study presents novel architecture that can classify non-severe TBI patients healthy subjects employing resting-state electroencephalogram (EEG) as...

10.3390/s20185234 article EN cc-by Sensors 2020-09-14

fMRI-based retinotopic mapping was used to assess systematic variations in activated cortical surface area, amplitude, and coherence across sessions. Seven healthy subjects were scanned at 7 T three separate sessions with intervals of 51.4 ± 5.4 days (Session 1 Session 2) 167.9 24.4 2 3). We found a reduction between Sessions for 3 2/3 coherence. The results do not support head motion as major cause the observed effect seen 1, suggesting that cognitive effects underlying change. phase...

10.3389/fnhum.2015.00477 article EN cc-by Frontiers in Human Neuroscience 2015-09-01

Impairment in cognitive function is a recognized outcome of traumatic brain injury (TBI). However, the degree impairment has variable relationship with TBI severity and time post injury. The underlying pathology often due to diffuse axonal that been found even mild TBI. In this study, we examine state white matter putative connectivity patients non-severe subacute phase, i.e., within 10 weeks determine its neuropsychological scores.We conducted case-control prospective study involving 11...

10.3389/fneur.2022.1011304 article EN cc-by Frontiers in Neurology 2022-10-11

Abstract This fMRI study investigated the effects of vibratory stimulation on somatosensory areas during high-frequencies using a piezoelectric finger system an scan. Twelve healthy right-handed subjects were stimulated at 270 Hz-480 Hz and dataset was analysed to generate activated regions due stimulation. The identified thresholded Puncorrected<0.001 for multiple comparisons. average effect frequencies revealed significant activation in left thalamus, right inferior parietal gyrus,...

10.1088/1742-6596/1497/1/012012 article EN Journal of Physics Conference Series 2020-03-01

Abstract The relationship between resting effective connectivity (EC) among default mode network (DMN) regions and auditory working memory (AWM) performance is still poorly understood. In this work, resting-state functional magnetic resonance imaging (rsfMRI) was used to determine the optimum model posterior cingulate cortex (PCC) medial prefrontal (mPFC) in 40 healthy male volunteers. low normal groups of subjects. Correlation EC with AWM AWM-capacity also studied. participants were divided...

10.1088/1742-6596/1248/1/012005 article EN Journal of Physics Conference Series 2019-06-01

This study investigated the functional connectivity of neural networks when vibrotactile stimulation is applied to fingertips young adults. Twenty healthy, right-handed subjects were stimulated with whilst being scanned a 3.0 T magnetic resonance imaging scanner. The at 30 Hz – 240 using piezoelectric vibrator attached subjects' bilateral index fingers. data processed independent component analysis (ICA), while temporal configuration and spatial localisation investigated. activation...

10.31117/neuroscirn.v6i3.194 article EN cc-by-nc Neuroscience Research Notes 2023-07-04
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