NeuroImage

Volume 124, Part A, 1 January 2016, Pages 518-525
NeuroImage

Physiological brainstem mechanisms of trigeminal nociception: An fMRI study at 3T

https://doi.org/10.1016/j.neuroimage.2015.09.023Get rights and content

Highlights

  • We propose an optimized and viable protocol for high resolution brainstem fMRI of nociceptive stimulation
  • We show highly specific brainstem areas in trigeminal nociception
  • We show enhanced functional connectivity of the left sTN with the contralateral sTN and HT
  • This optimized protocol will offer a unique opportunity to better understand pain and headache pathophysiology.

Abstract

The brainstem is a major site of processing and modulation of nociceptive input and plays a key role in the pathophysiology of various headache disorders. However, human imaging studies on brainstem function following trigeminal nociceptive stimulation are scarce as brainstem specific imaging approaches have to address multiple challenges such as magnetic field inhomogeneities and an enhanced level of physiological noise. In this study we used a viable protocol for brainstem fMRI of standardized trigeminal nociceptive stimulation to achieve detailed insight into physiological brainstem mechanisms of trigeminal nociception. We conducted a study of 21 healthy participants using a nociceptive ammonia stimulation of the left nasal mucosa with an optimized MR acquisition protocol for high resolution brainstem echoplanar imaging in combination with two different noise correction techniques. Significant BOLD responses to noxious ammonia stimulation were observed in areas typically involved in trigeminal nociceptive processing such as the spinal trigeminal nuclei (sTN), thalamus, secondary somatosensory cortex, insular cortex and cerebellum as well as in a pain modulating network including the periaqueductal gray area, hypothalamus (HT), locus coeruleus and cuneiform nucleus (CNF). Activations of the left CNF were positively correlated with pain intensity ratings. Employing psychophysiological interaction (PPI) analysis we found enhanced functional connectivity of the sTN with the contralateral sTN and HT following trigeminal nociception. We also observed enhanced functional connectivity of the CNF with the RVM during painful stimulation thus implying an important role of these two brainstem regions in central pain processing. The chosen approach to study trigeminal nociception with high-resolution fMRI offers new insight into human pain processing and might thus lead to a better understanding of headache pathophysiology.

Introduction

The brainstem is the major site of trigeminal pain processing and modulation and has been discussed as a main player in the pathophysiology of various headache disorders such as migraine or cluster headache (Afridi et al., 2005, Bahra et al., 2001, Denuelle et al., 2007, Stankewitz et al., 2011, Weiller et al., 1995). Previous anatomical and electrophysiological studies in animals and humans have been able to identify the primary hubs of the trigeminal pain pathway: a nociceptive stimulus enters the central nervous system via the trigeminal ganglion (TG). The stimulus is then conducted to the spinal trigeminal nuclei (sTN) and further to the ventral posterior medial nucleus of the thalamus (VPM) and to the primary somatosensory cortex (S1) (Wallenberg, 1900, Carpenter and Hanna, 1961, Stewart and King, 1963, Tiwari and King, 1974, Hayashi, 1985a, Hayashi, 1985b, Capra and Dessem, 1992, Usunoff et al., 1997, DaSilva et al., 2002). Nociceptive signals are modulated by a network of various brainstem centers: the descending pain modulating system, including the periaqueductal gray matter (PAG), the hypothalamus (HT), the red nucleus (RN), the substantia nigra (SN), the locus coeruleus (LC), the rostral ventromedial medulla and the lateral reticular formation of the midbrain, including the cuneiform nucleus (CNF) (Millan, 2002). Whereas the anatomy and fiber connections between the aforementioned brainstem centers are reasonably well understood from anatomical and electrophysiological work (Basbaum et al., 2009, Burstein et al., 1998, Edvinsson, 2011, Millan, 2002, Noseda et al., 2008, Noseda and Burstein, 2013), their functional activity and their interactions in humans following trigeminal nociceptive stimulation remain a subject of current research. Previous functional imaging studies in humans have been able to identify the spinal trigeminal nuclei, the VPM and SI as the major conduction sites of painful trigeminal stimuli (DaSilva et al., 2002, Stankewitz et al., 2010). However, the aforementioned studies commonly investigated both cortical and subcortical areas without a special focus on the brainstem. As a consequence, brainstem activations following trigeminal nociceptive stimulation in most studies could either not be found at all (Boyle et al., 2007, Iannilli et al., 2008) or have been very unspecific without a clear differentiation between different brainstem nuclei (Hummel et al., 2005). Thus a more focused imaging technique of the human brainstem in combination with human models of headache attacks is an indispensable tool in pathophysiologic and therapeutic headache research. However, as the brainstem is an area directly surrounded by large blood vessels and cerebrospinal fluid, it is much more susceptible to cardiac and respiratory noise than other regions of the brain. Additionally, as the different nuclei of this brain area lie in a close spatial relationship to each other, a high spatial resolution is mandatory to assign found activations to single brainstem nuclei. This however decreases the signal to noise ratio (SNR). As a result a special noise correction technique is mandatory. To address these points and to achieve a more detailed insight into mechanisms of trigeminal nociception within the brainstem, we employed a well-established protocol of nociceptive trigeminal stimulation in combination with an optimized approach to brainstem fMRI using an adapted field of view and a high in-plane resolution in combination with retrospective correction of general image noise by spatially adaptive nonlocal means filtering (Coupé et al., 2006) and retrospective correction of physiological noise (Deckers et al., 2006). We present detailed insight into brainstem mechanisms of trigeminal nociception.

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Section snippets

Subjects

24 healthy subjects (age 29 ± 1.2 years, 13 female, 4 male) were scanned for this study. Exclusion criteria were a previous diagnosis of any headache or facial pain disorder, severe psychiatric, neurological or internal illness, pregnancy, lactation and general safety concerns regarding the participants' ability to undergo MRI examination and/or painful ammonia stimulation. Three subjects had to be excluded post hoc for major susceptibility artifacts or corrupted data. 21 participants were

Behavioral data

Ammonia stimuli were generally rated as quite painful (mean = 70.5 (69.9–75.1)) and unpleasant (mean: 30.5 (28.7–32.4 (95% CI))), whereas olfactory and visual stimuli were generally perceived as less intense (rose odor: 41.5 (39.1–43.8 (95% CI)), checkerboard: 48.4 (46.4–50.3 (95% CI)) and rather neutral (rose odor: mean =  4.3 (− 6 to − 2.5 (95% CI)), checkerboard: − 2.8 (− 4.4 to − 1.1)).

Nociceptive processing

We detected significant activations in various brainstem and diencephalic areas including key sites of ascending

Discussion

Employing an adjusted protocol for high resolution functional brainstem imaging in combination with the two noise correction techniques, we found strong activations in the major conduction sides of trigeminal pain processing such as the caudal part of the ipsilateral sTN, the VPM, bilateral insula, and SII following trigeminal nociceptive processing. As our imaging technique focused on the brainstem, higher cortical areas such as SI and ACC were located outside of our field of view. An expected

Acknowledgment

The authors thank Dr. Jürgen Finsterbusch, head of the MR-Physics Group, Institute for Systems Neuroscience, University Medical Center Eppendorf, Hamburg, Germany, for optimizing the employed MRI-acquisition protocol.
Funding sources
This work was supported by the 7th Framework EU-Project EuroHeadPain (#602633) to A.M.

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