Subcortical influences on the topology of cortical networks align with functional processing hierarchies

Hirsch, Fabian; Wohlschlaeger, Afra

doi:10.1016/j.neuroimage.2023.120417

Cited by 4 publications

(3 citation statements)

References 79 publications

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“…This is in line with evidence that SC and visual areas have shorter INTs, compared to cortical higher-order areas (Muller et al, 2020; Raut et al, 2020), which is also true for the timescales of TVFC (Hirsch & Wohlschlaeger, 2022). Interactions within SC are proposed to act as shortcuts for rapid sensory processing (Mcfadyen, Dolan, & Garrido, 2020), and SC-cortical interactions have been consistently associated cognitive symptoms of PSDs (Anticevic & Halassa, 2023; Peters, Dunlop, & Downar, 2016; Ramsay, 2019), possibly by influencing cortico-cortical connectivity (Hirsch & Wohlschlaeger, 2023). The behaviorally most informative HEN interactions were concentrated between SC and CC (Figure 3, bottom-left), contrasting the more distributed nature of relevant LEN edges.…”

Section: Discussionmentioning

confidence: 99%

Diverging functional connectivity timescales: Capturing distinct aspects of cognitive performance in early psychosis

Hirsch,

Bumanglag,

Zhang

et al. 2024

Preprint

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Background: Psychosis spectrum disorders (PSDs) are marked by cognitive impairments, the neurobiological correlates of which remain poorly understood. Here, we investigate the entropy of time-varying functional connectivity (TVFC) patterns from resting-state fMRI (rfMRI) as potential biomarker for cognitive performance in PSDs. By combining our results with multimodal reference data, we hope to generate new insights into the mechanisms underlying cognitive dysfunction in PSDs. We hypothesized that low-entropy TVFC patterns (LEN) would be more behaviorally informative than high-entropy TVFC patterns (HEN), especially for tasks that require extensive integration across diverse cognitive subdomains. Methods: rfMRI and behavioral data from 97 patients in the early phases of psychosis and 53 controls were analyzed. Positron-Emission Tomography (PET) and magnetoencephalography (MEG) data were taken from a public repository (Hansen et al., 2022). Multivariate analyses were conducted to examine relationships between TVFC patterns at multiple spatial scales and cognitive performance in patients. Results: Compared to HEN, LEN explained significantly more cognitive variance on average in PSD patients, driven by superior encoding of information on psychometrically more integrated tasks. HEN better captured information in specific subdomains of executive functioning. Nodal HEN-LEN transitions were spatially aligned with neurobiological gradients reflecting monoaminergic transporter densities and MEG beta power. Exploratory analyses revealed a close statistical relationship between LEN and positive PSD symptoms. Conclusion: Our entropy-based analysis of TVFC patterns dissociates distinct aspects of cognitive performance in PSDs. By linking topographies of neurotransmission and oscillatory dynamics with cognitive symptoms, it enhances our understanding of the mechanisms underlying cognitive deficits in PSDs.

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Section: Discussionmentioning

confidence: 99%

Diverging functional connectivity timescales: Capturing distinct aspects of cognitive performance in early psychosis

Hirsch,

Bumanglag,

Zhang

et al. 2024

Preprint

Self Cite

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“…Increasingly, fMRI studies have been highlighting the importance of cortical and subcortical/brainstem interactions in understanding brain systems. Recent functional connectivity studies including subcortical and brainstem regions have found that these extra-cortical areas are integrated with cortical function (Hansen et al 2023; Hirsch and Wohlschlaeger 2023). In particular, cortical-brainstem fMRI has proved to be beneficial in the studies of pain and auditory processing, two systems that involve key brainstem nuclei.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous cortical, subcortical, and brainstem mapping of sensory activation

Reddy,

Clements,

Brooks

et al. 2024

Preprint

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Non-painful tactile sensory stimuli are processed in the cortex, subcortex, and brainstem. Recent functional magnetic resonance imaging (fMRI) studies have highlighted the value of whole-brain, systems-level investigation for examining pain processing. However, whole-brain fMRI studies are uncommon, in part due to challenges with signal to noise when studying the brainstem. Furthermore, the differentiation of small sensory brainstem structures such as the cuneate and gracile nuclei necessitates high resolution imaging. To address this gap in systems-level sensory investigation, we employed a whole-brain, multi-echo fMRI acquisition at 3T with multi-echo independent component analysis (ME-ICA) denoising and brainstem-specific modeling to enable detection of activation across the entire sensory system. In healthy participants, we examined patterns of activity in response to non-painful brushing of the right hand, left hand, and right foot, and found the expected lateralization, with distinct cortical and subcortical responses for upper and lower limb stimulation. At the brainstem level, we were able to differentiate the small, adjacent cuneate and gracile nuclei, corresponding to hand and foot stimulation respectively. Our findings demonstrate that simultaneous cortical, subcortical, and brainstem mapping at 3T could be a key tool to understand the sensory system in both healthy individuals and clinical cohorts with sensory deficits.

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“…Recent functional connectivity studies including subcortical and brainstem regions have found that these extra-cortical areas are integrated with cortical function ( Hansen et al. 2023 ; Hirsch and Wohlschlaeger 2023 ). In particular, cortical-brainstem fMRI has proved to be beneficial in the studies of pain and auditory processing, two systems that involve key brainstem nuclei.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous cortical, subcortical, and brainstem mapping of sensory activation

Reddy,

Clements,

Brooks

et al. 2024

Cerebral Cortex

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Nonpainful tactile sensory stimuli are processed in the cortex, subcortex, and brainstem. Recent functional magnetic resonance imaging studies have highlighted the value of whole-brain, systems-level investigation for examining sensory processing. However, whole-brain functional magnetic resonance imaging studies are uncommon, in part due to challenges with signal to noise when studying the brainstem. Furthermore, differentiation of small sensory brainstem structures such as the cuneate and gracile nuclei necessitates high-resolution imaging. To address this gap in systems-level sensory investigation, we employed a whole-brain, multi-echo functional magnetic resonance imaging acquisition at 3T with multi-echo independent component analysis denoising and brainstem-specific modeling to enable detection of activation across the entire sensory system. In healthy participants, we examined patterns of activity in response to nonpainful brushing of the right hand, left hand, and right foot (n = 10 per location), and found the expected lateralization, with distinct cortical and subcortical responses for upper and lower limb stimulation. At the brainstem level, we differentiated the adjacent cuneate and gracile nuclei, corresponding to hand and foot stimulation respectively. Our findings demonstrate that simultaneous cortical, subcortical, and brainstem mapping at 3T could be a key tool to understand the sensory system in both healthy individuals and clinical cohorts with sensory deficits.

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Subcortical influences on the topology of cortical networks align with functional processing hierarchies

Cited by 4 publications

References 79 publications

Diverging functional connectivity timescales: Capturing distinct aspects of cognitive performance in early psychosis

Diverging functional connectivity timescales: Capturing distinct aspects of cognitive performance in early psychosis

Simultaneous cortical, subcortical, and brainstem mapping of sensory activation

Simultaneous cortical, subcortical, and brainstem mapping of sensory activation

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