Interaction Between Hippocampus and Cerebellum Crus I in Sequence-Based but not Place-Based Navigation

Igloi, Kinga; Doeller, Christian F.; Paradis, Anne‐Lise; Benchenane, Karim; Berthoz, Alain; Burgess, Neil; Rondi-Reig, Laure

doi:10.1093/cercor/bhu132

Cited by 119 publications

(141 citation statements)

References 75 publications

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“…L left, R right, y SUIT coordinates (mm); Roman numerals indicate cerebellar lobules according to Schmahmann et al [36] of lobule VII) and the hippocampus have been found in the chicken [38]. Furthermore, functional connections between the posterolateral cerebellum (Crus I) and the hippocampus have been found in humans considering another function of the hippocampus, namely navigation [27]. In the present study, context-related activation during extinction was most prominent within Crus II bilaterally.…”

Section: Discussionsupporting

confidence: 64%

“…Likewise, in the previous study examining cerebral activations in the present dataset, bilateral hippocampus showed increased activation during extinction learning in a novel context compared to a context identical to the acquisition context [21]. Both animal and human studies show that there are structural and functional connections between the cerebellum and the hippocampus [24][25][26][27]37]. In particular, direct anatomical connections between the lateral cerebellum (lobules VI-VIII; note that Crus I and II are parts Thresholded at p<0.01 (partially corrected by predetermined cluster size).…”

Section: Discussionsupporting

confidence: 53%

“…This context information is transferred via the prefrontal cortex to the amygdala in extinction retrieval of learned fear [18,22,23]. Because the cerebellum has known functional and anatomic connections to the hippocampus and the prefrontal cortex, it may contribute to context processing of extinction [24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

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Cerebellar Contribution to Context Processing in Extinction Learning and Recall

et al. 2015

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Whereas acquisition of new associations is considered largely independent of the context, context dependency is a hallmark of extinction of the learned associations. The hippocampus and the prefrontal cortex are known to be involved in context processing during extinction learning and recall. Although the cerebellum has known functional and anatomic connections to the hippocampus and the prefrontal cortex, cerebellar contributions to context processing of extinction have rarely been studied. In the present study, we reanalyzed functional brain imaging data (fMRI) of previous work investigating context effects during extinction in a cognitive associative learning paradigm in 28 young and healthy subjects (Lissek et al. Neuroimage. 81:131-3, 2013). In that study, event-related fMRI analysis did not include the cerebellum. The 3 T fMRI dataset was reanalyzed using a spatial normalization method optimized for the cerebellum. Data of seven participants had to be excluded because the cerebellum had not been scanned in full. Cerebellar activation related to context change during extinction learning was most prominent in lobule Crus II bilaterally (p<0.01, t>2.53; partially corrected by predetermined cluster size). No significant cerebellar activations were observed related to context change during extinction retrieval. The posterolateral cerebellum appears to contribute to context-related processes during extinction learning, but not (or less) during extinction retrieval. The cerebellum may support context learning during extinction via its connections to the hippocampus. Alternatively, the cerebellum may support the shifting of attention to the context via its known connections to the dorsolateral prefrontal cortex. Because the ventromedial prefrontal cortex (vmPFC) is critically involved in context-related processes during extinction retrieval, and there are no known connections between the cerebellum and the vmPFC, the cerebellum may be less important during extinction recall.

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Section: Discussionsupporting

confidence: 64%

Section: Discussionsupporting

confidence: 53%

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Cerebellar Contribution to Context Processing in Extinction Learning and Recall

et al. 2015

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“…The cerebellum was reported to be involved in predictions about sensory consequences of actions [105]. Furthermore, previous studies found evidence for the involvement of the Cerebellum in navigation [106]. It was reported that the caudate nucleus is also involved in navigation [107], especially during route following [108] and way finding [109].…”

Section: Discussionmentioning

confidence: 99%

Learning New Sensorimotor Contingencies: Effects of Long-Term Use of Sensory Augmentation on the Brain and Conscious Perception

et al. 2016

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Theories of embodied cognition propose that perception is shaped by sensory stimuli and by the actions of the organism. Following sensorimotor contingency theory, the mastery of lawful relations between own behavior and resulting changes in sensory signals, called sensorimotor contingencies, is constitutive of conscious perception. Sensorimotor contingency theory predicts that, after training, knowledge relating to new sensorimotor contingencies develops, leading to changes in the activation of sensorimotor systems, and concomitant changes in perception. In the present study, we spell out this hypothesis in detail and investigate whether it is possible to learn new sensorimotor contingencies by sensory augmentation. Specifically, we designed an fMRI compatible sensory augmentation device, the feelSpace belt, which gives orientation information about the direction of magnetic north via vibrotactile stimulation on the waist of participants. In a longitudinal study, participants trained with this belt for seven weeks in natural environment. Our EEG results indicate that training with the belt leads to changes in sleep architecture early in the training phase, compatible with the consolidation of procedural learning as well as increased sensorimotor processing and motor programming. The fMRI results suggest that training entails activity in sensory as well as higher motor centers and brain areas known to be involved in navigation. These neural changes are accompanied with changes in how space and the belt signal are perceived, as well as with increased trust in navigational ability. Thus, our data on physiological processes and subjective experiences are compatible with the hypothesis that new sensorimotor contingencies can be acquired using sensory augmentation.

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“…Interestingly, recent functional connectivity analyses using the crus I as a seed region found significant correlated activity between the crus I and the mPFC, the inferior parietal cortex, and the PCC (Krienen and Buckner, 2009; Wang et al, 2014). Further, crus I and II abnormalities have been associated with deficits in integrating and regulating emotional and cognitive functions (Igloi et al, 2014; Riva et al, 2013). As such, our findings are consistent with previous studies showing crus involvement in the spontaneous brain activity of the DMN (Krienen and Buckner, 2009; Wang et al, 2014), and weaker connectivity strength between the PCC and Crus I/II could underlie the cognitive and emotional deficits associated with cannabis use disorder and tobacco use disorder.…”

Section: Discussionmentioning

confidence: 99%

Cannabis, cigarettes, and their co-occurring use: Disentangling differences in default mode network functional connectivity

Wetherill

Fang

Jagannathan

et al. 2015

Drug and Alcohol Dependence

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Background Resting-state functional connectivity is a noninvasive, neuroimaging method for assessing neural network function. Altered functional connectivity among regions of the default-mode network have been associated with both nicotine and cannabis use; however, less is known about co-occurring cannabis and tobacco use. Methods We used posterior cingulate cortex (PCC) seed-based resting-state functional connectivity analyses to examine default mode network (DMN) connectivity strength differences between four groups: 1) individuals diagnosed with cannabis dependence who do not smoke tobacco (n=19; ages 20–50), 2) cannabis-dependent individuals who smoke tobacco (n=23, ages 21–52), 3) cannabis-naïve, nicotine-dependent individuals who smoke tobacco (n=24, ages 21–57), and 4) cannabis- and tobacco-naïve healthy controls (n=21, ages 21–50), controlling for age, sex, and alcohol use. We also explored associations between connectivity strength and measures of cannabis and tobacco use. Results PCC seed-based analyses identified the core nodes of the DMN (i.e., PCC, medial prefrontal cortex, inferior parietal cortex, and temporal cortex). In general, the cannabis-dependent, nicotine-dependent, and co-occurring use groups showed lower DMN connectivity strengths than controls, with unique group differences in connectivity strength between the PCC and the cerebellum, medial prefrontal cortex, parahippocampus, and anterior insula. In cannabis-dependent individuals, PCC-right anterior insula connectivity strength correlated with duration of cannabis use. Conclusions This study extends previous research that independently examined the differences in resting-state functional connectivity among individuals who smoke cannabis and tobacco by including an examination of co-occurring cannabis and tobacco use and provides further evidence that cannabis and tobacco exposure is associated with alterations in DMN connectivity.

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Interaction Between Hippocampus and Cerebellum Crus I in Sequence-Based but not Place-Based Navigation

Cited by 119 publications

References 75 publications

Cerebellar Contribution to Context Processing in Extinction Learning and Recall

Cerebellar Contribution to Context Processing in Extinction Learning and Recall

Learning New Sensorimotor Contingencies: Effects of Long-Term Use of Sensory Augmentation on the Brain and Conscious Perception

Cannabis, cigarettes, and their co-occurring use: Disentangling differences in default mode network functional connectivity

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