2016
DOI: 10.3389/fnhum.2016.00027
|View full text |Cite
|
Sign up to set email alerts
|

Amplitude of Low-Frequency Fluctuations in Multiple-Frequency Bands in Acute Mild Traumatic Brain Injury

Abstract: Functional disconnectivity during the resting state has been observed in mild traumatic brain injury (mTBI) patients during the acute stage. However, it remains largely unknown whether the abnormalities are related to specific frequency bands of the low-frequency oscillations (LFO). Here, we used the amplitude of low-frequency fluctuations (ALFF) to examine the amplitudes of LFO in different frequency bands (slow-5: 0.01–0.027 Hz; slow-4: 0.027–0.073 Hz; and typical: 0.01–0.08 Hz) in patients with acute mTBI. … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

2
33
0

Year Published

2017
2017
2024
2024

Publication Types

Select...
6
1
1

Relationship

0
8

Authors

Journals

citations
Cited by 31 publications
(35 citation statements)
references
References 65 publications
2
33
0
Order By: Relevance
“…Zou et al, 2013). Furthermore, ALFF has been used to study different mental illnesses like schizophrenia (Alonso-Solís et al, 2017;Hoptman et al, 2010), attention deficit hyperactivity disorder(ADHD) (Yu-Feng et al, 2007), acute mild traumatic brain injury (Zhan et al, 2016), mild cognitive impairment (Bai et al, 2011) major depressive disorder (Wang et al, 2012) and many others.…”
Section: Introductionmentioning
confidence: 99%
“…Zou et al, 2013). Furthermore, ALFF has been used to study different mental illnesses like schizophrenia (Alonso-Solís et al, 2017;Hoptman et al, 2010), attention deficit hyperactivity disorder(ADHD) (Yu-Feng et al, 2007), acute mild traumatic brain injury (Zhan et al, 2016), mild cognitive impairment (Bai et al, 2011) major depressive disorder (Wang et al, 2012) and many others.…”
Section: Introductionmentioning
confidence: 99%
“…To better characterize the spectral composition of spontaneous BOLD fluctuations, Zuo et al [] have proposed to decompose RS‐fMRI signal fluctuations into four distinct canonical frequency bands [slow‐5 (0.01–0.027 Hz), slow‐4 (0.027–0.073 Hz), slow‐3 (0.073–0.198 Hz), and slow‐2 (0.198–0.25 Hz)]. In the healthy brain, the neuronal variability in the low‐frequency range appears strongest in the slow‐5 (especially in cortical sites) and slow‐4 (especially in the basal ganglia and thalamus); in some pathological conditions, significant alterations were found in slow‐5 [Han et al, ; Huang et al, ; La et al, ; Martino et al, ], slow‐4 [see, e.g., Zhan et al, ], and slow‐3 [see, e.g., Wang et al, ].…”
Section: Introductionmentioning
confidence: 99%
“…For example, in the healthy brain, behavioral traits such as extraversion and neuroticism were correlated with the amplitude of frequency fluctuations in the slow-4 and slow-5 bands in different regions related to emotion processing (Wei et al, 2014). In some pathological conditions, significant alterations were found preferentially in slow-5 (see, e. g., (Han et al, 2011;Huang et al, 2014;La et al, 2016;Martino et al, 2016)) or slow-4 (see, e. g., (Yu et al, 2013;Zhan et al, 2016)) frequency bands; even in pharmacological conditions, an acute effect of the first levodopa challenge on the sensori-motor resting state network was specifically highlighted for the slow-4 band in drug-naive Parkinson patients (Esposito et al, 2013).…”
Section: Discussionmentioning
confidence: 99%