fMRI based brain state analysis of visual activities

Raheel Zafar; Aamir Saeed Malik; Nidal Kamel; Sarat C. Dass

doi:10.1109/ISSBES.2015.7435891

fMRI based brain state analysis of visual activities

Raheel Zafar, Aamir Saeed Malik, Nidal Kamel, Sarat C. Dass

School of Mathematical & Computer Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Functional magnetic resonance imaging (fMRI) is one of the best modality to measure brain activity. Cognitive task produces effective and purposeful behavior in the brain which can be measured by different modalities like Electroencephalography (EEG), Magnetoencephalography (MEG) and fMRI. In this study, fMRI is used to find the difference between brain states. Data was recorded with two different tasks, i.e. a visual task with and without the response. Activity patterns from different brain regions were measured. The main activations were in three brain regions i.e. visual cortex, temporal and frontal depending on the task. In conclusion, fMRI is a good modality to measure brain states and do prediction on novel data.

Original language	English
Title of host publication	2015 IEEE Student Symposium in Biomedical Engineering & Sciences (ISSBES)
Publisher	IEEE
Pages	46-49
Number of pages	4
ISBN (Electronic)	978-1-4673-7816-1
DOIs	https://doi.org/10.1109/ISSBES.2015.7435891
Publication status	Published - 21 Mar 2016
Event	2015 IEEE Student Symposium in Biomedical Engineering and Sciences - Shah Alam, Malaysia Duration: 4 Nov 2015 → 4 Nov 2015

Conference

Conference	2015 IEEE Student Symposium in Biomedical Engineering and Sciences
Abbreviated title	ISSBES 2015
Country/Territory	Malaysia
City	Shah Alam
Period	4/11/15 → 4/11/15

ASJC Scopus subject areas

Biomedical Engineering
Radiology Nuclear Medicine and imaging
Computer Science Applications
Signal Processing

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10.1109/ISSBES.2015.7435891

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@inproceedings{c5857174d6af4d9788e2579cf6f8c4a0,

title = "fMRI based brain state analysis of visual activities",

abstract = "Functional magnetic resonance imaging (fMRI) is one of the best modality to measure brain activity. Cognitive task produces effective and purposeful behavior in the brain which can be measured by different modalities like Electroencephalography (EEG), Magnetoencephalography (MEG) and fMRI. In this study, fMRI is used to find the difference between brain states. Data was recorded with two different tasks, i.e. a visual task with and without the response. Activity patterns from different brain regions were measured. The main activations were in three brain regions i.e. visual cortex, temporal and frontal depending on the task. In conclusion, fMRI is a good modality to measure brain states and do prediction on novel data.",

author = "Raheel Zafar and Malik, {Aamir Saeed} and Nidal Kamel and Dass, {Sarat C.}",

year = "2016",

month = mar,

day = "21",

doi = "10.1109/ISSBES.2015.7435891",

language = "English",

pages = "46--49",

booktitle = "2015 IEEE Student Symposium in Biomedical Engineering & Sciences (ISSBES)",

publisher = "IEEE",

address = "United States",

note = "2015 IEEE Student Symposium in Biomedical Engineering and Sciences, ISSBES 2015 ; Conference date: 04-11-2015 Through 04-11-2015",

}

TY - GEN

T1 - fMRI based brain state analysis of visual activities

AU - Zafar, Raheel

AU - Malik, Aamir Saeed

AU - Kamel, Nidal

AU - Dass, Sarat C.

PY - 2016/3/21

Y1 - 2016/3/21

N2 - Functional magnetic resonance imaging (fMRI) is one of the best modality to measure brain activity. Cognitive task produces effective and purposeful behavior in the brain which can be measured by different modalities like Electroencephalography (EEG), Magnetoencephalography (MEG) and fMRI. In this study, fMRI is used to find the difference between brain states. Data was recorded with two different tasks, i.e. a visual task with and without the response. Activity patterns from different brain regions were measured. The main activations were in three brain regions i.e. visual cortex, temporal and frontal depending on the task. In conclusion, fMRI is a good modality to measure brain states and do prediction on novel data.

AB - Functional magnetic resonance imaging (fMRI) is one of the best modality to measure brain activity. Cognitive task produces effective and purposeful behavior in the brain which can be measured by different modalities like Electroencephalography (EEG), Magnetoencephalography (MEG) and fMRI. In this study, fMRI is used to find the difference between brain states. Data was recorded with two different tasks, i.e. a visual task with and without the response. Activity patterns from different brain regions were measured. The main activations were in three brain regions i.e. visual cortex, temporal and frontal depending on the task. In conclusion, fMRI is a good modality to measure brain states and do prediction on novel data.

UR - http://www.scopus.com/inward/record.url?scp=84965155519&partnerID=8YFLogxK

U2 - 10.1109/ISSBES.2015.7435891

DO - 10.1109/ISSBES.2015.7435891

M3 - Conference contribution

AN - SCOPUS:84965155519

SP - 46

EP - 49

BT - 2015 IEEE Student Symposium in Biomedical Engineering & Sciences (ISSBES)

PB - IEEE

T2 - 2015 IEEE Student Symposium in Biomedical Engineering and Sciences

Y2 - 4 November 2015 through 4 November 2015

ER -

fMRI based brain state analysis of visual activities

Abstract

Conference

ASJC Scopus subject areas

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