Asad Malik

ORCID: 0000-0003-0981-6375
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About
Contact & Profiles
Research Areas
  • Neural dynamics and brain function
  • EEG and Brain-Computer Interfaces
  • Neuroscience and Music Perception
  • Music and Audio Processing
  • Functional Brain Connectivity Studies
  • Visual perception and processing mechanisms
  • Emotion and Mood Recognition
  • Schizophrenia research and treatment
  • Neural Networks and Applications
  • Neural and Behavioral Psychology Studies
  • Mental Health Research Topics
  • Speech and Audio Processing
  • Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Blind Source Separation Techniques
  • Heart Rate Variability and Autonomic Control
  • Advanced Memory and Neural Computing
  • Circadian rhythm and melatonin
  • Multisensory perception and integration
  • Music Technology and Sound Studies
  • Soil and Land Suitability Analysis
  • Obsessive-Compulsive Spectrum Disorders
  • Sleep and related disorders
  • Tactile and Sensory Interactions
  • Olfactory and Sensory Function Studies
  • Psychosomatic Disorders and Their Treatments

HR Wallingford
2021-2025

Monash University Malaysia
2024

University of Reading
2014-2021

Wellcome Centre for Integrative Neuroimaging
2020

Objective. We aim to develop and evaluate an affective brain–computer music interface (aBCMI) for modulating the states of its users. Approach. An aBCMI is constructed detect a user's current state attempt modulate it in order achieve specific objectives (for example, making user calmer or happier) by playing which generated according target algorithmic composition system case-based reasoning system. The trained tested longitudinal study on population eight healthy participants, with each...

10.1088/1741-2560/13/4/046022 article EN Journal of Neural Engineering 2016-07-11

Objectives While neuropsychological effects of conventional antidepressants are well-documented, more research is needed for rapid-acting antidepressants. This study examines the esketamine on emotion processing and cognitive functioning, both acutely sub-chronically.

10.1080/15622975.2024.2441304 article EN cc-by-nc-nd The World Journal of Biological Psychiatry 2025-01-06

Social dysfunction is one of the most common signs major neuropsychiatric disorders. The Default Mode Network (DMN) crucially implicated in both psychopathology and social dysfunction, although transdiagnostic properties remains unknown. As part pan-European PRISM (Psychiatric Ratings using Intermediate Stratified Markers) project, we explored cross-disorder impact on DMN connectivity.We studied intrinsic functional connectivity relation to by applying Independent Component Analysis Dual...

10.1080/15622975.2021.1966714 article EN cc-by-nc-nd The World Journal of Biological Psychiatry 2021-08-11

The neural mechanisms of music listening and appreciation are not yet completely understood. Based on the apparent relationship between beats per minute (tempo) desire to move (for example feet tapping) induced while that it is hypothesised musical tempo may evoke movement related activity in brain. Participants instructed listen, without moving, a large range pieces spanning styles tempos during an electroencephalogram (EEG) experiment. Event-related desynchronisation (ERD) EEG observed...

10.1109/embc.2014.6944647 article EN 2014-08-01

Brain-computer music interfaces (BCMIs) may be used to modulate affective states, with applications in therapy, composition, and entertainment. However, for such systems work they need able reliably detect their user's current state. We present a method personalised state detection use BCMI. compare it population-based trained on 17 users demonstrate that is significantly (p <; 0.01) more accurate, average improvements accuracy of 10.2 percent valence 9.3 arousal. also hybrid BCMI (a...

10.1109/taffc.2018.2801811 article EN IEEE Transactions on Affective Computing 2018-02-07

Brain-computer music interfaces (BCMI) provide a method to modulate an individuals affective state via the selection or generation of according their current state. Potential applications such systems may include entertainment therapeutic applications. We outline proposed design for BCMI and seek automatically differentiating different induced states. Band-power features are explored use in identifying music-induced Additionally, linear discriminant analysis classifier support vector machine...

10.1109/acii.2015.7344685 article EN 2015-09-01

Background Social functioning is often impaired in schizophrenia (SZ) and Alzheimer’s disease (AD). However, commonalities differences social dysfunction among these patient groups remain elusive. Materials methods Using data from the PRISM study, behavioral (all subscales total score of Functioning Scale) affective (perceived disability loneliness) indicators were measured patients with SZ ( N = 56), probable AD 50) age-matched healthy controls (HC, 29 28). We examined to what extent...

10.1371/journal.pone.0263769 article EN cc-by PLoS ONE 2022-04-14

Beat perception is fundamental to how we experience music, and yet the mechanism behind this spontaneous building of internal beat representation largely unknown. Existing findings support links between tempo (speed) enhancement electroencephalogram (EEG) activity at tempo-related frequencies, but there are no studies looking may affect underlying long-range interactions EEG different electrodes. The present study investigates these using recorded from 21 volunteers listening music stimuli...

10.3389/fnhum.2017.00502 article EN cc-by Frontiers in Human Neuroscience 2017-10-18

Previous studies of change blindness have suggested a distinction between detection and localisation changes in visual scene. Using simple paradigm with an array coloured squares, the present study aimed to further investigate differences event-related potentials (ERPs) trials which participants could detect presence colour but not identify location (sense trials), versus those where both localise (localise trials). Individual performance were controlled for by adjusting difficulty task real...

10.1007/s00221-019-05602-2 article EN cc-by Experimental Brain Research 2019-07-23

An affectively driven music generation system is described and evaluated. The developed for the intended eventual use in human-computer interaction systems such as brain-computer interfaces. It evaluated its ability to induce changes a listeners affective state. affectively-driven algorithmic composition was used generate stimulus set covering 9 discrete sectors of 2-dimensional space by means 16 channel feedforward artificial neural network. This 90 short pieces with specific intentions, 10...

10.1109/ceec.2015.7332705 article EN 2015-09-01

Affective algorithmic composition is a growing field that combines perceptually motivated affective computing strategies with novel music generation. This article presents work toward the development of one application. The long-term goal to develop responsive and adaptive system for inducing affect both controlled validated by biophysical measures. Literature documenting perceptual responses identifies variety musical features possible correlations, but evaluations these purposes inclusion...

10.1145/2749466 article EN ACM Transactions on Applied Perception 2015-06-26

The feedback mechanism used in a brain-computer interface (BCI) forms an integral part of the closed-loop learning process required for successful operation BCI. However, ultimate success BCI may be dependent upon modality used. This study explores use music tempo as and compares it to more commonly visual mechanism. Three different modalities are compared kinaesthetic motor imagery BCI: visual, auditory via tempo, combined modality. Visual is provided position, on y-axis, moving ball. In...

10.1080/2326263x.2014.979728 article EN Brain-Computer Interfaces 2014-10-02

This paper presents the External Attention Vision Transformer (EAViT) model, a novel approach designed to enhance audio classification accuracy. As digital resources proliferate, demand for precise and efficient systems has intensified, driven by need improved recommendation user personalization in various applications, including music streaming platforms environmental sound recognition. Accurate is crucial organizing vast libraries into coherent categories, enabling users find interact with...

10.48550/arxiv.2408.13201 preprint EN arXiv (Cornell University) 2024-08-23

10.1109/apsipaasc63619.2025.10849238 article EN 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) 2024-12-03

Abstract The presence of a change in visual scene can influence brain activity and behavior, even the absence full conscious report. It may be possible for us to sense that such has occurred, if we cannot specify exactly where or what it was. Despite existing evidence from electroencephalogram (EEG) eye-tracking data, is still unclear how this partial level awareness relates functional magnetic resonance imaging (fMRI) blood oxygen dependent (BOLD) activation. Using EEG, fMRI, blindness...

10.1093/nc/niab008 article EN cc-by Neuroscience of Consciousness 2021-01-01

Soil erosion poses a significant environmental issue in Kundasang, Sabah, which is situated the highlands and recognized for its soil challenges. The natural forces of water gradually wear away topsoil fields, leading to erosion. This phenomenon often exacerbated by various triggering factors such as agricultural practices, deforestation, unsustainable development. region particularly noted temperate vegetable cultivation. study aimed spatially estimate potential loss or using Revised...

10.51200/bsj.v45i2.5881 article EN Borneo Science | The Journal of Science and Technology 2024-09-18

Abstract Previous studies of change blindness have suggested a distinction between detection and localisation changes in visual scene. Using simple paradigm with an array coloured squares, the present study aimed to further investigate differences event-related potentials (ERPs) trials which participants could detect presence colour but not identify location ( sense trials), versus those where both localise trials). Individual performance were controlled for by adjusting difficulty task real...

10.1101/513697 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2019-01-07

Abstract The presence of a change in visual scene can influence brain activity and behaviour, even the absence full conscious report. It may be possible for us to sense that such has occurred, if we cannot specify exactly where or what it was. Despite existing evidence from electroencephalogram (EEG) eye-tracking data, is still unclear how this partial level awareness relates fMRI BOLD activation. Using EEG, functional magnetic resonance imaging (fMRI), blindness paradigm, found multi-modal...

10.1101/2020.07.08.193326 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2020-07-09
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