Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Altered Brain Networks in Patients w...
~
Castrilli, Brittney.
Linked to FindBook
Google Book
Amazon
博客來
Altered Brain Networks in Patients with Psychogenic Non-Epileptic Seizures (PNES) Using Ultra High Field MRI.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Altered Brain Networks in Patients with Psychogenic Non-Epileptic Seizures (PNES) Using Ultra High Field MRI./
Author:
Castrilli, Brittney.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2018,
Description:
67 p.
Notes:
Source: Masters Abstracts International, Volume: 84-03.
Contained By:
Masters Abstracts International84-03.
Subject:
Bipolar disorder. -
Online resource:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29245901
ISBN:
9798845476227
Altered Brain Networks in Patients with Psychogenic Non-Epileptic Seizures (PNES) Using Ultra High Field MRI.
Castrilli, Brittney.
Altered Brain Networks in Patients with Psychogenic Non-Epileptic Seizures (PNES) Using Ultra High Field MRI.
- Ann Arbor : ProQuest Dissertations & Theses, 2018 - 67 p.
Source: Masters Abstracts International, Volume: 84-03.
Thesis (M.Sc.)--The University of Western Ontario (Canada), 2018.
Background: Psychogenic Non-epileptic Seizures (PNES) are attacks that appear similar to epileptic attacks. However, they lack abnormal electrical discharges in the brain and have psychological underpinnings and causes. The gold standard of diagnosis is video-EEG which is not widely accessible, creating a poor prognosis for patients. Resting state functional magnetic resonance imaging can aid in the diagnosis and treatment of PNES by helping better understand brain networks in patients with PNES. This study examines brain networks in patients with PNES with a focus on the default mode network and salience network. Methods: Twelve patients with PNES between the ages of 18-56 and twelve age- and sex- matched healthy participants between the ages of 18-59 were recruited. Participants underwent 7T resting-state fMRI scanning. Independent Components Analysis (ICA) and whole brain functional connectivity making use of region of interest analysis (ROI) was used to study the default mode network and the salience network. Results: No Significant differences in functional connectivity between regions in the default mode network (DMN) as well as the salience network (SN) were found when comparing patients with PNES to healthy control participants. Conclusions: In the current study patients with PNES do not show altered connectivity between brain regions in the default mode network as well as the salience network. Limitations and future directions of the current study will be discussed.
ISBN: 9798845476227Subjects--Topical Terms:
3667114
Bipolar disorder.
Altered Brain Networks in Patients with Psychogenic Non-Epileptic Seizures (PNES) Using Ultra High Field MRI.
LDR
:02592nmm a2200349 4500
001
2399696
005
20240916065946.5
006
m o d
007
cr#unu||||||||
008
251215s2018 ||||||||||||||||| ||eng d
020
$a
9798845476227
035
$a
(MiAaPQ)AAI29245901
035
$a
(MiAaPQ)oaiirlibuwocaetd7509
035
$a
AAI29245901
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Castrilli, Brittney.
$3
3769671
245
1 0
$a
Altered Brain Networks in Patients with Psychogenic Non-Epileptic Seizures (PNES) Using Ultra High Field MRI.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2018
300
$a
67 p.
500
$a
Source: Masters Abstracts International, Volume: 84-03.
500
$a
Advisor: Mirsattari, Seyed;Menon, Ravi.
502
$a
Thesis (M.Sc.)--The University of Western Ontario (Canada), 2018.
520
$a
Background: Psychogenic Non-epileptic Seizures (PNES) are attacks that appear similar to epileptic attacks. However, they lack abnormal electrical discharges in the brain and have psychological underpinnings and causes. The gold standard of diagnosis is video-EEG which is not widely accessible, creating a poor prognosis for patients. Resting state functional magnetic resonance imaging can aid in the diagnosis and treatment of PNES by helping better understand brain networks in patients with PNES. This study examines brain networks in patients with PNES with a focus on the default mode network and salience network. Methods: Twelve patients with PNES between the ages of 18-56 and twelve age- and sex- matched healthy participants between the ages of 18-59 were recruited. Participants underwent 7T resting-state fMRI scanning. Independent Components Analysis (ICA) and whole brain functional connectivity making use of region of interest analysis (ROI) was used to study the default mode network and the salience network. Results: No Significant differences in functional connectivity between regions in the default mode network (DMN) as well as the salience network (SN) were found when comparing patients with PNES to healthy control participants. Conclusions: In the current study patients with PNES do not show altered connectivity between brain regions in the default mode network as well as the salience network. Limitations and future directions of the current study will be discussed.
590
$a
School code: 0784.
650
4
$a
Bipolar disorder.
$3
3667114
650
4
$a
Mental depression.
$3
3556007
650
4
$a
Magnetic resonance imaging.
$3
554355
650
4
$a
Post traumatic stress disorder.
$3
3543866
650
4
$a
Clinical psychology.
$3
524863
650
4
$a
Medical imaging.
$3
3172799
650
4
$a
Mental health.
$3
534751
650
4
$a
Psychology.
$3
519075
690
$a
0622
690
$a
0574
690
$a
0347
690
$a
0621
710
2
$a
The University of Western Ontario (Canada).
$3
1017622
773
0
$t
Masters Abstracts International
$g
84-03.
790
$a
0784
791
$a
M.Sc.
792
$a
2018
793
$a
English
856
4 0
$u
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29245901
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9508016
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login