Resting state network topology of the ferret brain

Zhou, Zhe; Salzwedel, Andrew P.; Radtke‐Schuller, Susanne; Li, Yuhui; Sellers, Kristin K.; Gilmore, John H.; Shih, Yen‐Yu Ian; Fröhlich, Flavio; Gao, Wei

doi:10.1016/j.neuroimage.2016.09.003

Cited by 34 publications

(38 citation statements)

References 105 publications

(168 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We found a single visual network component, a finding similar to that of ferrets 10 , also a member of the order Carnivora. The presence of a single visual network falls between the lack of a separate visual network in rodents 17 and the multiple visual networks found in primates 7 , which is in line with the ecology of the species.…”

Section: Discussionsupporting

confidence: 77%

“…To reveal phylogenetic changes and conserved core physiological mechanisms, it is crucial to compare a diverse range of non-human species 4 . To date, resting-state networks were investigated via fMRI in mice 5 , rats 6 , marmosets 7 macaques 8 , dogs 9 and ferrets 10 . Sensorimotor networks, such as visual and/or somatosensory networks have been described in most animal resting-state fMRI studies, but while in rodents there has been no report on a visual network separated from the somatosensory network, a visual network was described in ferrets 10 , while multiple visual networks were reported in primates 7 .…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Resting-state fMRI data of awake dogs (Canis familiaris) via group-level independent component analysis reveal multiple, spatially distributed resting-state networks

Szabó

Czeibert

Kettinger

et al. 2018

Preprint

View full text Add to dashboard Cite

Resting-state networks are spatially distributed, functionally connected brain regions. Studying these networks gives us information about the large-scale functional organization of the brain and alternations in these networks are considered to play a role in a wide range of neurological conditions and aging. To describe resting-state networks in dogs, we measured 22 awake, unrestrained animals of either sex and carried out group-level spatial independent component analysis to explore whole-brain connectivity patterns. Using resting-state functional magnetic resonance imaging (rs-fMRI), in this exploratory study we found multiple resting-state networks in dogs, which resemble the pattern described in humans. We report the following dog resting-state networks: default mode network (DMN), visual network (VIS), sensorimotor network (SMN), combined auditory (AUD)-saliency (SAL) network and cerebellar network (CER). The DMN, similarly to Primates, but unlike previous studies in dogs, showed antero-posterior connectedness with involvement of hippocampal and lateral temporal regions. The results give us insight into the resting-state networks of awake animals from a taxon beyond rodents through a non-invasive method.connectedness of the human default mode network was only found in superorder Euarchontoglires (primates and rodents), while the corresponding networks in superorder Laurasiatheria (described in ferrets 10 and dogs 9, 12 ) were reported to show antero-posterior dissociation. We aimed to investigate whether and if so, what kind of spatially distributed resting-state networks are detectable in a larger sample of awake, unrestrained family dogs in a resting state fMRI setup, following up on previous reports 9, 12 . ResultsGroup-ICA decomposed the data into 20 independent components. ICASSO analysis returned a high stability index of the 20 estimate clusters (mean ±SD = 0.940 ±0.008), indicating high consistency across multiple ICA runs. Examination of the components resulted in retaining 6 components as signal components (spatially distributed networks with low frequency fluctuations, showing high correspondence with bilateral grey matter areas based on their spectral characteristics and spatial maps), while the remaining 14 components were classified as miscellaneous or noise. The excluded components, among others contained ventricular, susceptibility (located mainly in the frontal lobe, due to the extensive sinuses present in the dogs cranium) and motion artefacts. Signal components were primarily restricted to cortical areas. The resulting signal components were as follows:RSN A (Fig. 1): This resting-state network covered parts of the gyrus compositus rostralis, rostro-dorsal regions of the gyrus cinguli and the gyrus rectus; medial, bilateral caudal regions of the gyrus cinguli and gyrus splenialis, included bilaterally the hippocampus and gyrus parahippocampalis, the gyrus compositus caudalis, and caudoventral regions of the cerebellum. All of these regions correspond to regions indicated in the default mo...

show abstract

Section: Discussionsupporting

confidence: 77%

Section: Introductionmentioning

confidence: 99%

Resting-state fMRI data of awake dogs (Canis familiaris) via group-level independent component analysis reveal multiple, spatially distributed resting-state networks

Szabó

Czeibert

Kettinger

et al. 2018

Preprint

View full text Add to dashboard Cite

show abstract

“…Given the differences in anatomical and functional organization (7,8), the vHP may predominantly affect nonsensory-related regions through unknown mechanisms. Interhemispheric or homotopic rsfMRI connectivity networks are conserved across species (17,(68)(69)(70) and under distinct brain states (e.g., anesthesia, sleep, and wake) (71,72) and consistent among different human subjects (73). We (14,36) and others (16,17,68) have reliably measured interhemispheric rsfMRI connectivity in sensory cortices of rodents under light isoflurane (∼1.0%).…”

Section: Discussionmentioning

confidence: 71%

Low-frequency hippocampal–cortical activity drives brain-wide resting-state functional MRI connectivity

Chan

Leong

et al. 2017

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

The hippocampus, including the dorsal dentate gyrus (dDG), and cortex engage in bidirectional communication. We propose that low-frequency activity in hippocampal-cortical pathways contributes to brain-wide resting-state connectivity to integrate sensory information. Using optogenetic stimulation and brain-wide fMRI and resting-state fMRI (rsfMRI), we determined the large-scale effects of spatiotemporal-specific downstream propagation of hippocampal activity. Low-frequency (1 Hz), but not high-frequency (40 Hz), stimulation of dDG excitatory neurons evoked robust cortical and subcortical brain-wide fMRI responses. More importantly, it enhanced interhemispheric rsfMRI connectivity in various cortices and hippocampus. Subsequent local field potential recordings revealed an increase in slow oscillations in dorsal hippocampus and visual cortex, interhemispheric visual cortical connectivity, and hippocampal-cortical connectivity. Meanwhile, pharmacological inactivation of dDG neurons decreased interhemispheric rsfMRI connectivity. Functionally, visually evoked fMRI responses in visual regions also increased during and after low-frequency dDG stimulation. Together, our results indicate that low-frequency activity robustly propagates in the dorsal hippocampal-cortical pathway, drives interhemispheric cortical rsfMRI connectivity, and mediates visual processing.hippocampus | resting-state functional connectivity | optogenetic | fMRI | low frequency T he hippocampus (HP) plays a prominent role in central nervous system functions, particularly in episodic memory (1, 2) and spatial navigation (3, 4). The HP, including the dentate gyrus (DG), can evoke large-scale influences on cortical activity, because the HP receives convergent information from sensory and limbic cortices before sending reciprocal divergent projections to create a highly interactive corticohippocampal-cortical network. The HP, including DG, CA3, and CA1, and neocortex, are connected via the entorhinal cortex (EC) (5, 6), such that the dorsolateral-to-ventromedial projection that originates in the EC corresponds to a dorsoventral axis of termination in the HP (5). This anatomical topography suggests that a functional gradient could exist along the HP dorsoventral axis. Previous studies demonstrated that dorsal HP (dHP) and cortex are functionally integrated during sensory processing and memory consolidation (7-9). Specifically, dHP can integrate multimodal sensory information and process memory operations (7) using excitatory longrange projections (10). This process occurs over multiple brain circuits, but the role of dHP in complex networks, particularly its influence on brain-wide functional connectivity, is not well understood.Resting-state functional MRI (rsfMRI) (11-14) provides an invaluable, noninvasive imaging technique to map long-range, brain-wide functional connectivity networks based on the temporal coherence of infraslow (0.005-0.1 Hz) blood oxygen level dependent (BOLD) activity. The functional relevance of specific brain-wide networks in co...

show abstract

“…Following the discovery of the DMN in humans, it has subsequently been identified in other mammalian species, including macaque monkey (11), ferret (12), and rat (13,14). Because the DMN is an anatomically and functionally interconnected network (15), the fMRI activations in component areas tend to fluctuate in a coordinated manner even in anesthetized animals.…”

mentioning

confidence: 99%

Basal forebrain contributes to default mode network regulation

Nair

Klaassen

Arató³

et al. 2018

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

The default mode network (DMN) is a collection of cortical brain regions that is active during states of rest or quiet wakefulness in humans and other mammalian species. A pertinent characteristic of the DMN is a suppression of local field potential gamma activity during cognitive task performance as well as during engagement with external sensory stimuli. Conversely, gamma activity is elevated in the DMN during rest. Here, we document that the rat basal forebrain (BF) exhibits the same pattern of responses, namely pronounced gamma oscillations during quiet wakefulness in the home cage and suppression of this activity during active exploration of an unfamiliar environment. We show that gamma oscillations are localized to the BF and that gamma-band activity in the BF has a directional influence on a hub of the rat DMN, the anterior cingulate cortex, during DMNdominated brain states. The BF is well known as an ascending, activating, neuromodulatory system involved in wake-sleep regulation, memory formation, and regulation of sensory information processing. Our findings suggest a hitherto undocumented role of the BF as a subcortical node of the DMN, which we speculate may be important for switching between internally and externally directed brain states. We discuss potential BF projection circuits that could underlie its role in DMN regulation and highlight that certain BF nuclei may provide potential target regions for up-or down-regulation of DMN activity that might prove useful for treatment of DMN dysfunction in conditions such as epilepsy or major depressive disorder.gamma suppression | anterior cingulate cortex | granger causality A highly consistent finding across a wide range of functional imaging studies in humans is that a network of brain regions, referred to as the "default mode network" (DMN), increases its activity during passive mental states compared with the performance of cognitive tasks. This was initially shown in a metaanalysis of several PET studies (1), in which a distribution of brain regions broadly including the medial prefrontal, retrosplenial, and anterior cingulate cortex (ACC), as well as lateral parietal and temporal cortices, was shown to be activated when subjects were in a state of quiet restfulness. The DMN areas are thought to form a cohesive set of intrinsically coupled brain regions, such that fMRI activations in its component regions exhibit similar time courses, allowing them to be identified reliably using seed-region analysis (2-4). Activity in the DMN exhibits anticorrelation with a complementary, largely nonoverlapping, set of fronto-parietal brain areas known as the "dorsal attention network" (DAN) (5). It should be noted, however, that particular brain structures may harbor functionally heterogeneous elements and thus may contribute to multiple functions, as was shown for the ACC (6). During wakefulness, the human brain thus alternates between DAN-and DMN-dominated activation states, corresponding to effortful cognitive task performance on the one hand and quiet restful...

show abstract

Resting state network topology of the ferret brain

Cited by 34 publications

References 105 publications

Resting-state fMRI data of awake dogs (Canis familiaris) via group-level independent component analysis reveal multiple, spatially distributed resting-state networks

Resting-state fMRI data of awake dogs (Canis familiaris) via group-level independent component analysis reveal multiple, spatially distributed resting-state networks

Low-frequency hippocampal–cortical activity drives brain-wide resting-state functional MRI connectivity

Basal forebrain contributes to default mode network regulation

Contact Info

Product

Resources

About