Thanh Tan Vo1,2,3, Geun Ho Im1, and Seong-Gi Kim1,2
1Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon 16419, Republic of Korea, Suwon, Korea, Republic of, 2Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 3Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Korea, Republic of
Synopsis
Keywords: Task/Intervention Based fMRI, fMRI (task based), Excitation and Inhibition balance, Mouse fMRI, Autism
Motivation: The hyper- or hyporeactivity to sensory input is a common diagnostic criterion in autism, potentially influencing BOLD signals.
Goal(s): Our study was centered on unraveling the underlying mechanisms governing the positive and negative BOLD responses to low and high sensory stimulus frequencies. A ratio of BOLD responses of high frequency to low frequency may reflect E:I balance.
Approach: Our study delved into BOLD responses during varied sensory stimulation frequencies
Results: We observed increased neural activity and BOLD responses at lower frequencies, contrasting with suppressed cortical activity and subsequent negative BOLD responses at higher frequencies.
Impact: A ratio of BOLD responses of high frequency to low
frequency may reflect E:I balance, necessary for the clinical utility of BOLD fMRI to hyper- or hypo-reactivity responses to sensory inputs in autism
Introduction
Brain dysfunctions in neurodevelopmental
disorders such as autism spectrum disorder (ASD) and schizophrenia (SCZ) are supposed
to associate with excitation and inhibition imbalance (E:I imbalance). This E:I
ratio can be determined by electrophysiological recordings in brain slices. ASD
individuals often exhibit either heightened (hyperreactivity) or reduced
(hyporeactivity) responses to sensory inputs like sound, touch, or light. The abnormal
E:I ratio can be due to abnormalities in PV interneurons (1), disrupting the balance between
excitatory and inhibitory signals in the brain (2-5).
The hemodynamic response to sensory
stimuli results from the interplay between excitation and inhibition. Our
hypothesis is that the sensory E:I ratio can be inferred by BOLD fMRI with low and
high frequency stimulation. With
low-frequency stimuli, excitatory neurons respond efficiently, experiencing
reduced adaptation and less inhibition from nearby inhibitory neurons, thereby
increasing the hemodynamic response. In contrast, higher-frequency stimuli
prompt dominant inhibition due to the rapid firing of PV neurons and heightened
adaptation in excitatory neurons, consequently reducing the hemodynamic
response (6, 7). We evaluated our hypothesis by performing fMRI data with
low and high frequency stimuli in anesthetized mice.
Method
Anesthesia: mouse strain & number? Initial
injection with a mixture of ketamine (Ket: 100mg/kg) and xylazine (Xyl:
10mg/kg), and a supplementary dose (25mg/kg Ket and 1.25mg/kg Xyl) through IV
injection.
Stimulation: 40-s forepaw somatosensory stimulation with 5Hz
or 40Hz, 2ms, and 0.5mA.
Functional MRI: BOLD-fMRI (156 × 156 × 500 μm3) with TE/TR of 11ms/1s on a 15.2T
scanner.
Neural recording: A 16-channel electrode was
perpendicularly inserted up to 1mm in the left forepaw somatosensory area.Results
The initial examination was focused on measuring
neural activity in response to 5Hz and 40Hz forepaw stimulation (Figure 1A). An
electrode was inserted perpendicularly to a depth of 1mm into the cortex. Under
Ketamine/Xylazine anesthesia, there was an increase in neural spiking in
response to low-frequency stimuli, whereas the 40Hz stimuli resulted in a
notable reduction in neural activity (Figure 1B). 5Hz stimuli generally led to
an increased multi-unit activity (MUA), characterized by an initial peak,
followed by a decay for the remainder of the stimulation period. Conversely,
40Hz stimuli initially increased MUA, quickly suppressed below the pre-stimulus
spontaneous MUA, ending an instant rebound in MUA right after the end of
stimulation.
In
our next investigation, we explored the effects of low and high-frequency
stimuli on the BOLD response. During the 5Hz stimulation, a positive BOLD
response was notably present in the thalamus, the left S1, and its related
projection sites, including the ipsilateral S2 and contralateral areas
(highlighted by red-yellow voxels in Figure 2B). In contrast, the 40Hz
stimulation induced a negative BOLD response in the cortex, while a positive
BOLD response persisted in the thalamic area. BOLD fMRI responses in S1 are closely
related to MUA in S1, combined with neural and BOLD fMRI. Discussion
Our
study was centered on unraveling the underlying mechanisms governing the
positive and negative BOLD responses to low and high stimulus frequencies,
commonly observed in sensory-evoked BOLD studies. A ratio of BOLD responses of
high frequency to low frequency (40Hz/5Hz) may reflect E:I balance. The 40Hz stimulation
appears to suppress excitatory activity within the cortex by increased
activation of nearby interneurons and the substantial adaptation of excitatory
neurons, subsequently inducing a negative BOLD response. The observation of
positive BOLD in the thalamus during the 40Hz stimulation implies a potential
disparity in the ratio between excitation and inhibition compared to the
cortex. Further studies are necessary in frequency-dependent BOLD fMRI of hypo-
or hyper-sensitive ASD mice for evaluating the validity of our hypothesis and
finding the clinical utility of BOLD fMRI. Acknowledgements
This study was supported by the Institute of Basic Science (IBS-R015-D1).References
- J.
Yu, H. Hu, A. Agmon, K. Svoboda, Recruitment of GABAergic Interneurons in the
Barrel Cortex during Active Tactile Behavior. Neuron 104, 412-427.e414
(2019).
- Q.
Chen et al., Dysfunction of cortical
GABAergic neurons leads to sensory hyper-reactivity in a Shank3 mouse model of
ASD. Nat Neurosci 23, 520-532 (2020).
- E.
Lee, J. Lee, E. Kim, Excitation/Inhibition Imbalance in Animal Models of Autism
Spectrum Disorders. Biological Psychiatry
81, 838-847 (2017).
- N.
Gogolla et al., Common circuit defect
of excitatory-inhibitory balance in mouse models of autism. Journal of Neurodevelopmental Disorders 1, 172-181 (2009).
- O.
Marín, Interneuron dysfunction in psychiatric disorders. Nat Rev Neurosci 13,
107-120 (2012).
- T.
N. A. Dinh, W. B. Jung, H.-J. Shim, S.-G. Kim, Characteristics of fMRI
responses to visual stimulation in anesthetized vs. awake mice. NeuroImage 226, 117542 (2021).
- H.-J. Shim et al., Mouse fMRI under ketamine and xylazine anesthesia: Robust
contralateral somatosensory cortex activation in response to forepaw
stimulation. NeuroImage 177, 30-44 (2018).