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The effects of neck flexion on cerebral potentials evoked by visual, auditory and somatosensory stimuli and focal brain blood flow in related sensory cortices

Abstract

Background

A flexed neck posture leads to non-specific activation of the brain. Sensory evoked cerebral potentials and focal brain blood flow have been used to evaluate the activation of the sensory cortex. We investigated the effects of a flexed neck posture on the cerebral potentials evoked by visual, auditory and somatosensory stimuli and focal brain blood flow in the related sensory cortices.

Methods

Twelve healthy young adults received right visual hemi-field, binaural auditory and left median nerve stimuli while sitting with the neck in a resting and flexed (20° flexion) position. Sensory evoked potentials were recorded from the right occipital region, Cz in accordance with the international 10–20 system, and 2 cm posterior from C4, during visual, auditory and somatosensory stimulations. The oxidative-hemoglobin concentration was measured in the respective sensory cortex using near-infrared spectroscopy.

Results

Latencies of the late component of all sensory evoked potentials significantly shortened, and the amplitude of auditory evoked potentials increased when the neck was in a flexed position. Oxidative-hemoglobin concentrations in the left and right visual cortices were higher during visual stimulation in the flexed neck position. The left visual cortex is responsible for receiving the visual information. In addition, oxidative-hemoglobin concentrations in the bilateral auditory cortex during auditory stimulation, and in the right somatosensory cortex during somatosensory stimulation, were higher in the flexed neck position.

Conclusions

Visual, auditory and somatosensory pathways were activated by neck flexion. The sensory cortices were selectively activated, reflecting the modalities in sensory projection to the cerebral cortex and inter-hemispheric connections.

Background

Humans are capable of maintaining a variety of postures, from which the most suitable preparatory posture is selected for intended exercise. Howorth[1] has surveyed various exercise postures using motion pictures and has observed that a basic dynamic posture in which the ankle, knee, hip and neck joints, and trunk are all slightly flexed is common for different sudden initiation of motions and when pursuing a rapidly moving visual target. A flexed neck position leads to non-specific activation of the brain, resulting in shortened saccadic reaction time[2, 3], increased amplitude of the late component of the contingent negative variation (event-related potential)[4], and increased amplitude and shortened latency of motor evoked potentials evoked by transcranial magnetic stimulation[5]. The non-specific activation is presumably due to ascending activation associated with muscular-sensory information from the neck extensors, and/or descending activation from the cerebral cortex, which includes attention-related processes[6–10]. In a previous study, saccadic reaction time decreased during vibration of the trapezius muscle when the neck was in a resting position[11]. This finding supports the existence of ascending brain activation from the trapezius muscle. In 1949, Moruzzi and Magoun[12] proposed that the ascending brain activation system originates at the brainstem reticular formation, and since then the system has been examined using animal studies, pharmacological experiments and neurological treatments for patients with brain dysfunction[10, 13, 14]. To date, the activation system is known to consist of two subsystems: a dorsal pathway from the reticular formation to the thalamus and cortex, and a ventral pathway from the reticular formation to the hypothalamus and cortex[13, 14].

Visual, auditory and somatosensory information are important for perceiving the surrounding environment, the location of the whole body in the environment and the position of each segment in the body. Early shift in sensory information processing time and enhancement of activity in the sensory cortex are useful for those perceptions. Visual, auditory and somatosensory information are processed via subcortical and cortical neural pathways that have been described in detail as follows. Information processing induced by visual, auditory and somatosensory stimuli has been examined using sensory evoked potentials. With sensory evoked potentials, the effect of descending brain activation on information processing, mainly from the cerebral cortex, is relatively low compared with the effect of the event-related potential. Thus, it is probable that the sensory evoked potentials are affected by brain activation with maintaining neck flexion position. The maintenance of a flexed neck position shortens the P100 latency of visual evoked potentials (VEP)[15] and increases the amplitude of the middle-latency component of auditory evoked potentials (AEP)[16]. However, these experiments were conducted on different days and in different groups of participants. The effect of neck flexion on the somatosensory evoked potentials (SEP) has not yet been investigated. If neck flexion has effects on VEP, AEP and SEP in the same participants, it would suggest that visual, auditory and somatosensory pathways are commonly and selectively activated with neck flexion.

When studying evoked potentials it is hard to locate the area of the sensory cortex that is activated, as the potentials have a high time resolution and a low spatial resolution. To compensate for the insufficient spatial resolution, the location of the sensory cortex activity has been measured using hemodynamic recording methods[17–19]. By simultaneously recording the sensory evoked potential and the focal brain blood flow (FBBF), it is possible to identify the brain region that is activated by the evoked potential. Previous studies have investigated hemodynamic responses related to the neural activity in each sensory cortex using functional magnetic resonance imaging (fMRI) and near-infrared spectroscopy (NIRS)[17–19]. Although NIRS has lower spatial resolution than fMRI, it has the advantage of permitting examination of brain activity without body fixation and is considered to be an optimal method for measuring hemodynamics during neck flexion[20].

In this study, we investigated the effects of neck flexion on VEP, AEP, SEP and FBBF in each sensory cortex. We hypothesized that the decrease of latency and the increase of amplitude in VEP, AEP and SEP, and an increase in the blood flow in each cerebral sensory cortex would be found while maintaining the neck flexion position.

Methods

Participants

We previously reported that the significant shortening of saccadic reaction time associated with maintenance of neck flexion was observed in participants who belonged to a high-speed ball sports club; that is, a training effect of neck flexion on the brain activation existed[2, 3, 20]. In the preliminary experiment, we measured the saccadic reaction time during maintenance of neck flexion for 30 randomly selected healthy adults. Of these adults, 12 participants (two men, ten women) who showed significant shortening of the saccadic reaction time participated in this study. Mean value for age was 23.3 years (SD = 2.9). No participant reported any history of neurological or orthopedic impairment. In accordance with the Declaration of Helsinki, all participants provided informed consent by signing a consent form after receiving an explanation of the protection of privacy rights and experimental protocols, which were approved by our institutional ethics committee.

Apparatus and data recording

Experimental setup

The experimental setup is shown in Figure 1. Participants sat on a steel-framed chair with their back resting against a vertical wall and their trunk secured by two acrylic belts and a cotton band to prevent anteroposterior movement. Participants kept their knees flexed at approximately 90° and rested their feet on a low table. The neck flexion angle was defined as the rotational angle of the tragus around the acromion in the sagittal plane, with the starting position (0°) being a quiet sitting posture. This flexion angle was strictly determined using a custom-made angular detector in which the center point was set at the acromion and the distance between the acromion and the tragus was regulated. The head inclination angle was determined as the angle between the auriculo-infraorbital line and the gravitational line, in order to maintain constant sensory stimulation of the vestibular organs. An angular detector (Level+angle detector; Mitsutomo, Tokyo, Japan) using the principle of a pendulum was placed on the temple to determine the head inclination angle. A chin stand was used to support the head and to allow relaxation of the neck extensor muscles as much as possible. The activity of the neck extensor muscles was monitored with surface electromyography (EMG) from both sides of the upper trapezius muscle. Surface EMG was recorded using bipolar surface electrodes. Vertical electrooculography was recorded from electrodes placed above and below the left eye. A ground electrode was placed at Fpz in accordance with the international 10–20 system. The impedance of all electrodes was reduced to 5 kΩ. Signals were amplified (×2,000) using a DC amplifier (AN-601G; Nihon Kohden, Tokyo, Japan) for electrooculography and an alternating current (AC) bioelectrical amplifier (MA1000; DIGITEX, Tokyo, Japan) for EMG. Upper trapezius EMG signals were bandpass filtered at 5 to 1,000 Hz and displayed on a digital oscilloscope (DS6612; Iwatsu, Tokyo, Japan).

Figure 1
figure 1

Pictures showing experimental setup for simultaneous recordings of auditory evoked potentials and oxidative-hemoglobin concentration in the auditory cortex. (A) Resting neck position. (B) Flexed neck position.

Visual evoked potentials and hemodynamics in the visual cortex

To generate VEP, pattern reversal right-hemi-field visual stimulation was applied to both eyes using a visual stimulator (MTS0410; Medical Try System, Tokyo, Japan). The stimulus was displayed on a 53-cm computer screen placed 64 cm in front of the participant. The visual stimulus (subtending a visual angle of 6° × 6° with a check size of 1° × 1°) was presented to the right of the central fixation point. The visual angle between the left part of the figure and the fixation point was 8°. According to a previous study, the visual information received from this stimulus is almost all projected to the left visual cortex[21, 22]. The VEP were recorded using three monopole Ag/AgCl surface electrodes (8-mm diameter); one applied 5 cm above the inion on the midline occipital region, and the other two applied symmetrically, 5 cm lateral to the midline occipital region on the left and right occipital regions. All recording channels were referred to the linked ear lobes. A ground electrode was placed on Cz as defined by the international 10–20 system of electrode placement. Signals from the electrodes were amplified (× 30,000 to 75,000), bandpass-filtered (0.5 to 200 Hz) using the AC bioelectrical amplifier, and sampled at 2,000 Hz using a 16-bit analog-to-digital (A/D) converter (Contec, Osaka, Japan).

The hemodynamics in the visual cortex were recorded using a NIRS device (ETG-4000; Hitachi Medical, Tokyo, Japan). A previous study has investigated the concentration of oxidative-hemoglobin (oxy-Hb) at O1 and O2, as defined by the international 10–20 system during the visual stimulation[23]. We chose to examine this same location in the present study. A probe holder with five light-detector probes and five light-emitter probes was set in a 3 × 12 cm2 area including O1 and O2 positions, and the midline occipital region was positioned at channel 7 in the holder (Figure 2A). Text data of signals captured by the NIRS device were sampled at 10 Hz and sent to a computer.

Figure 2
figure 2

Schematics indicating the arrangement of optical probes for measurement of oxidative-hemoglobin concentration. Light and dark circles indicate light-emitter and -detector probes, respectively. (A) Visual cortex; (B) auditory cortex; (C) somatosensory cortex.

Auditory evoked potentials and hemodynamics in the auditory cortex

To generate AEP, click tones with 0.1-ms duration were generated by an evoked potential system (ER1204; NEC, Tokyo, Japan). The click tones were binaurally delivered via headphones at a rate of 1.0 Hz. The intensity was 50 dB above the predetermined hearing threshold. The evoked potential was recorded from an electrode affixed to the scalp at Cz in accordance with the international 10–20 system, referred to linked ear lobes. A ground electrode was placed on Fpz. Signals from the electrodes were amplified (× 100,000), bandpass-filtered (2 to 2,000 Hz) using the AC bioelectrical amplifier, and sampled at 2,000 Hz using the 16-bit A/D converter.

A previous study has investigated the concentration of oxy-Hb around T3 and T4 positions as defined by the international 10–20 system during the auditory stimulation[17]. We chose to examine this same location in the present study. To measure the hemodynamics in the auditory cortex, two sets of nine probes, consisting of four light-detector probes and five light-emitter probes were fixed over a 6 × 6 cm2 area in the left and right temporal cortices. T3 and T4 were positioned at channel 10 and 17 in the probe holders, respectively (Figure 2B).

Somatosensory evoked potentials and hemodynamics in the somatosensory cortex

To generate SEP, 0.2-ms square-wave electric pulses were delivered to the median nerve at the left wrist at 120% of the predetermined motor threshold. The stimulation rate was 1.0 Hz. The evoked potential was recorded from electrodes affixed to the scalp, 2 cm posterior from C4 (C4’) and referred to linked ear lobes. A ground electrode was placed on Fpz. Signals from the electrodes were amplified (× 30,000), bandpass-filtered (0.5 to 1,000 Hz) using the AC bioelectrical amplifier, and sampled at 2,000 Hz using the 16-bit A/D converter.

A previous study has investigated the concentration of oxy-Hb around C4 during median nerve electrical stimulation[24]. We chose to examine this same location in the present study. To measure hemodynamics in the somatosensory cortex, the same probe sets as used for the auditory cortex were fixed over the left and right hemispheres. C3 and C4 were positioned at channel 9 and 16 respectively in the probe holders (Figure 2C).

Procedure

Measurement of evoked potentials and hemodynamics in the three sensory cortices was performed at the same time on three separate days. Prior to the start of measurement, participants contracted and relaxed the shoulder girdle elevator muscles several times, and a deep breath was taken to relax the trapezius muscle. The experimenter verbally instructed the participant to relax the trapezius muscle, and relaxation was confirmed by visual inspection of the EMG signals. Sensory stimuli were delivered while the neck was maintained in a resting position with the chin resting on a stand (resting neck (RN) position) and while neck flexion angle was maintained at 20° with the chin unsupported (flexed neck (FN) position).

The protocol for simultaneous measurement of sensory evoked potentials and oxy-Hb concentration in the sensory cortex is shown in Figure 3. A set consisted of at least 70 s rest, 15 s preparatory sensory stimuli in the RN position and 30 s sensory stimuli at the target neck position (RN or FN). Measurements were acquired during 30 s sensory stimuli at the target neck position. The set was repeated until the average waveform of sensory evoked potentials was obtained. For the FN target position, the data recording at the FN position was started after 15 s from the beginning of preparatory sensory stimulation (10 s of the sensory stimulation, and 5 s needed to move to FN position from RN position). The order of target neck positions was randomly set for each participant. A 3 min rest was taken between conditions. All measurements were completed within 2 h.

Figure 3
figure 3

Schematic indicating the experimental protocol. Each set consisted of at least 70 s rest, 15 s preparatory sensory stimuli and 30 s sensory stimuli. For the flexed neck target position, the flexed position was adopted after 10 s of preparatory sensory stimulation. The set was repeated as necessary.

Data analysis

All analyses of evoked potentials were performed using EPLYZER-II (Kissei Comtec, Matsumoto, Japan). Electroencephalography epochs contaminated by blinks or eye movements with amplitudes larger than 100 μV were rejected. Many previous studies have shown that VEP elicited by hemi-field visual stimulation is recorded from the occipital electrode ipsilateral to the visual stimulus side[21, 22, 25]. Therefore, for the VEP at the right occipital region, 100 epochs from 50 ms before to 250 ms after stimulus onset were obtained. Baseline signal was computed as the average in the 50 ms prior to stimulus onset, and was subtracted from the data before averaging. Latency and peak-to-peak amplitude were analyzed for each of three VEP peaks (N75, P100 and N145) for each individual participant.

For the AEP at Cz, 200 epochs from 20 ms before to 120 ms after stimulus onset were obtained. Baseline signal was computed as the average in the 20 ms prior to stimulus onset, and was subtracted from the data before averaging. Latency and peak-to-peak amplitude were analyzed for each of three AEP peaks (Pa, Nb and Pb) for each individual participant.

For the SEP at C4’, 200 epochs from 20 ms before to 180 ms after stimulus onset were obtained. Baseline signal was computed as the average in the 20 ms prior to stimulus onset, and was subtracted from the data before averaging. Latency and peak-to-peak amplitude were analyzed for each of three SEP peaks (P24, N33, P45) for each individual participant.

According to previous studies[26, 27], oxy-Hb concentration is related to the brain blood flow. Baseline oxy-Hb was calculated for the 10 s period prior to preparatory sensory stimulation. The change in oxy-Hb (Δoxy-Hb) during the sensory stimulation was defined as a difference in oxy-Hb from this baseline for each set.

Statistical analysis

The Shapiro-Wilk test confirmed that all data satisfied the assumption of normality. The latency and amplitude of evoked potentials in each hemisphere were compared across neck positions (RN and FN) using a paired t-test. The Δoxy-Hb during the stimulation in the RN position was compared to zero using a one-sample t-test. The Δoxy-Hb was compared across neck positions (two levels; RN and FN) and measurement channel using a two-way repeated-measures analysis of variance. When a significant interaction (P < 0.05) between these factors was detected, a paired t-test was performed separately to assess the difference between postural conditions at each measurement channel. Data are presented as means and SD. The alpha level for statistical significance was set at P < 0.05. All statistical analyses were performed using SPSS 14.0J (IBM Japan, Tokyo, Japan).

Results

Sensory evoked potentials

Figure 4 shows grand averaged waveforms of visual, auditory and somatosensory evoked potential across all participants. All peaks for analysis in the evoked potential were identified. The latency of P100 (t11 = 3.49, P < 0.01) and N145 (t11 = 2.58, P < 0.05) components of VEP, Nb (t11 = 2.66, P < 0.05) and Pb (t11 = 2.59, P < 0.05) components of AEP and the P45 (t11 = 2.59, P < 0.05) component of SEP decreased with neck flexion (Figure 5). The amplitude Pa-Nb (t11 = 2.59, P < 0.05) and Nb-Pb (t11 = 2.51, P < 0.05) components of AEP increased with neck flexion (Figure 5). The amplitude of VEP and SEP components did not change with neck flexion (Figure 5).

Figure 4
figure 4

Grand averaged waveforms of visual (A), auditory (B) and somatosensory (C) evoked potential in resting (upper) and flexed (lower) neck positions. Thick lines are grand averaged waveforms. Dashed lines indicate ±1 SD of a grand averaged waveform. The analyzed components of each evoked potential are labeled. AEP: auditory evoked potentials; SEP: somatosensory evoked potentials; VEP: visual evoked potentials.

Figure 5
figure 5

Latency of each component (left panel) and peak-to-peak amplitude of neighboring components (right panel) of visual (A), auditory (B) and somatosensory (C) evoked potentials in resting (open circles) and flexed (closed circles) neck position. Values represent mean. Error bars represent SD. Asterisk indicate a significant (P < 0.05) difference between neck positions.

Oxidative-hemoglobin concentration

During visual stimulation in the RN position, Δoxy-Hb was larger than zero at channels 1 (t11 = 2.45, P < 0.05) and 6 (t11 = 2.24, P < 0.05; Figure 6). A main effect of neck position on Δoxy-Hb during the visual stimulation indicated that Δoxy-Hb was increased with neck flexion (F1,11 = 22.77, P < 0.01; Figure 6). There was no interaction between neck position and measurement channel.

Figure 6
figure 6

Oxidative-hemoglobin (oxy-Hb) concentration during right hemi-field visual stimulation. (A) Mean and standard deviation of oxy-Hb in resting (open circles) and flexed (closed circles) neck positions. Plus signs (+) indicate oxy-Hb concentration significantly greater than zero in the resting neck position. Asterisks indicate a significant difference in oxy-Hb concentration between neck positions. (B) A schematic indicating the arrangement of optical probes for measurement of oxy-Hb concentration in the visual cortex. Small circles indicate that oxy-Hb concentration was significantly greater than zero at that channel in the resting neck position. Large circles indicate there was a significant difference in oxy-Hb concentration between neck positions at that channel. oxy-Hb: oxidative-hemoglobin.

During auditory stimulation in the RN position, Δoxy-Hb was larger than zero at channels 3 (t11 = 2.23, P < 0.05), 6 (t11 = 2.74, P < 0.05) and 8 (t11 = 2.92, P < 0.05) in the left hemisphere and at channels 16 (t11 = 2.68, P < 0.05), 18 (t11 = 4.61, P < 0.05), 19 (t11 = 2.83, P < 0.05) and 21 (t11 = 2.72, P < 0.05) in the right hemisphere (Figure 7). There was an interaction between neck position and measurement channel on Δoxy-Hb during the auditory stimulation (left hemisphere: F11,121 = 1.92, P < 0.01; right hemisphere: F11,121 = 1.90, P < 0.01). Δoxy-Hb was significantly larger in the FN position than in the RN position at channels 1 (t11 = 2.23, P < 0.05), 3 (t11 = 2.60, P < 0.05) and 4 (t11 = 5.11, P <0.01) in the left hemisphere and channels 20 (t11 = 4.35, P < 0.01), 21 (t11 = 3.92, P <0.01) and 23 (t11 = 3.48, P < 0.01) in the right hemisphere (Figure 7).

Figure 7
figure 7

Oxidative-hemoglobin (oxy-Hb) concentration during auditory stimulation. (A) Mean and standard deviation of oxy-Hb in resting (open circles) and flexed (closed circles) neck positions. Plus signs (+) indicate oxy-Hb concentration significantly greater than zero in the resting neck position. Asterisks indicate a significant difference in oxy-Hb concentration between neck positions. (B) A schematic indicating the arrangement of optical probes for measurement of oxy-Hb concentration in each hemisphere of the auditory cortex. Small circles indicate that oxy-Hb concentration was significantly greater than zero at that channel in the resting neck position. Large circles indicate there was a significant difference in oxy-Hb concentration between neck positions at that channel. oxy-Hb: oxidative-hemoglobin.

During somatosensory stimulation at RN position, Δoxy-Hb was significantly larger than zero at channels 13 (t11 = 3.25, P < 0.01), 14 (t11 = 4.42, P < 0.01), 15 (t11 = 2.34, P < 0.05), 17 (t11 = 3.45, P < 0.01), 19 (t11 = 3.85, P < 0.01) and 21 (t11 = 2.25, P < 0.05) in the right hemisphere (Figure 8). There was a significant interaction between neck position and measurement channel on Δoxy-Hb during the somatosensory stimulation (left hemisphere: F11,121 = 2.62, P < 0.01; right hemisphere: F11,121 = 2.23, P < 0.01). Δoxy-Hb was significantly larger in the FN position than in the RN position at channels 16 (t11 = 3.62, P <0.01), 17 (t11 = 2.98, P < 0.05), 18 (t11 = 2.80, P < 0.05), 21 (t11 = 4.01, P < 0.05) and 22 (t11 = 4.33, P < 0.05) in the right hemisphere (Figure 8).

Figure 8
figure 8

Oxidative-hemoglobin (oxy-Hb) concentration during somatosensory stimulation. (A) Mean and standard deviation of oxy-Hb in resting (open circles) and flexed (closed circles) neck positions. Plus signs (+) indicate oxy-Hb concentration significantly greater than zero in the resting neck position. Asterisks indicate a significant difference in oxy-Hb concentration between neck positions. (B) A schematic indicating the arrangement of optical probes for measurement of oxy-Hb concentration in each hemisphere of the somatosensory cortex. Small circles indicate that oxy-Hb concentration was significantly greater than zero at that channel in the resting neck position. Large circles indicate there was a significant difference in oxy-Hb concentration between neck positions at that channel. oxy-Hb: oxidative-hemoglobin.

Discussion

FBBF indicated that the sensory cortex was locally activated during sensory stimulation when the neck was in a resting position. This is consistent with previous studies reporting an increase in FBBF in the activated sensory cortex, according to the sensory stimulation[17–19, 23, 24]. The results of the present study extend these findings to show that the sensory evoked potential and FBBF change with neck flexion. The latencies of VEP (P100 and N145 components), AEP (Nb and Pb components) and SEP (P45 component) were shorter, and the amplitude of AEP (Pa-Nb and Nb-Pb components) was larger, when the neck was flexed. The increase in FBBF associated with neck flexion was not observed in the entire cortex but only in the cortices activated by stimulation.

Visual information received by the retina reaches the primary visual cortex via the lateral geniculate body in the thalamus[25, 28]. According to dipole source analysis, N75 and P100 components of VEP originate in the striate cortex[25, 29–32], and the N145 component originates in the striate cortex[29, 32] and/or the extrastriate cortex[30]. Auditory signals reach the primary auditory cortex (Brodman area 41 and 42) with a latency of 10 to 12 ms[33]. It has been suggested that the middle-latency components of the AEP (Na: 16 to 20 ms, Pa: 27 to 32 ms, Nb: 37 to 43 ms) originate in the primary and secondary auditory cortices[34, 35]. The N20/P20 component of the SEP originates from Brodman’s area 3b[36–39]. The P25 and N30/P30 components of the SEP originate in the primary somatosensory cortex[36, 39–42] and the P45 component originates is in the secondary somatosensory area, including Brodman’s area 5[43]. It is clear from the present results that the cortical areas in the neural pathways related to visual, auditory and somatosensory information processing were activated with neck flexion.

The increase in FBBF in the visual cortex with neck flexion was observed in both the left and right visual cortices. The left visual cortex receives visual information from right visual field, whereas the right visual cortex does not directly receive visual information. The increase in FBBF in the auditory cortex was also bilateral, but an increase in FBBF was only observed in the right somatosensory cortex. The density of fiber connections between the hemispheres is higher in the visual cortex than in the somatosensory cortex[44]. The results of the present study suggest that activation in sensory cortices with neck flexion reflects sensory information processing in the cerebral cortex and the reciprocal inter-hemispheric connections.

Mechanisms of selective activation in sensory cortices cannot be determined from the present data; however, we can speculate on contributing factors. The thalamus is one of the main centers of brain activation and plays an important role as a relay portion for sensory information. The sensory relay pathway to the cortex in the thalamus may be affected by the ascending brain activation originating from the brainstem reticular formation and/or descending brain activation originating from the frontal lobe, which includes attention[6–10]. In addition, functional coupling between the frontal lobe and the sensory cortex may lead to the selective activation in the related sensory cortex[45, 46]. If the thalamus played a key role, it would be expected that the early component of the sensory evoked potential should be activated while maintaining the neck flexion. However, we observed no activation or shortening of latency for the early components of evoked responses, and we therefore presume that the effect of neck flexion occurs within the cortex at a location other than the thalamus. However, further research is required to determine the mechanism of selective activation in sensory cortices associated with neck flexion.

Facilitation of visual, auditory and somatosensory information processing and the enhancement of activity in related sensory cortices accompanied by maintaining the neck flexion position must be useful for perceiving the surrounding environment, the location of the whole body in the environment and the position of each segment of the body. In previous studies, the shortening of saccadic reaction time associated with the neck flexion position was observed after the saccadic training with maintenance of neck flexion[3, 20]. The present results could be effectively applied to older participants or be used in clinical investigations for patients with sensory perception impairments.

Conclusions

We have demonstrated that visual, auditory and somatosensory pathways are activated with neck flexion; however, the cerebral activation differed between the pathways. The differences in selective activation between the sensory cortices reflect the modalities in sensory projection to the cerebral cortex and inter-hemispheric connections.

Abbreviations

AC:

Alternating current

A/D:

Analog-to-digital

AEP:

Auditory evoked potentials

EMG:

Electromyography

FBBF:

Focal brain blood flow

fMRI:

Functional magnetic resonance imaging

FN:

Flexed neck

NIRS:

Near-infrared spectroscopy

oxy-Hb:

Oxidative-hemoglobin

RN:

Resting neck

SD:

Standard deviation

SEP:

Somatosensory evoked potentials

VEP:

Visual evoked potentials.

References

  1. Howorth B: Dynamic posture. J Am Med Assoc. 1946, 131: 1398-1404. 10.1001/jama.1946.02870340004002.

    Article  CAS  PubMed  Google Scholar 

  2. Fujiwara K, Kunita K, Watanabe H: Sports exercise effect on shortening of saccadic reaction time associated with neck extensor muscle activity. Int J Sports Med. 2006, 27: 792-797. 10.1055/s-2005-872959.

    Article  CAS  PubMed  Google Scholar 

  3. Kunita K, Fujiwara K: Neck-shortening effect on prosaccade reaction time formed through saccadic training accompanied by maintenance of neck flexion. Eur J Appl Physiol. 2009, 107: 597-602. 10.1007/s00421-009-1174-7.

    Article  PubMed  Google Scholar 

  4. Fujiwara K, Tomita H, Maeda K, Kunita K: Effects of neck flexion on contingent negative variation and anticipatory postural control during arm movement while standing. J Electromyogr Kinesiol. 2009, 19: 113-121. 10.1016/j.jelekin.2007.08.003.

    Article  PubMed  Google Scholar 

  5. Fujiwara K, Tomita H, Kunita K: Increase in corticospinal excitability of limb and trunk muscles according to maintenance of neck flexion. Neurosci Lett. 2009, 461: 235-239. 10.1016/j.neulet.2009.06.047.

    Article  CAS  PubMed  Google Scholar 

  6. Berthoz A: The role of inhibition in the hierarchical gating of executed and imagined movements. Brain Res Cogn Brain Res. 1996, 3: 101-113. 10.1016/0926-6410(95)00035-6.

    Article  CAS  PubMed  Google Scholar 

  7. Grantyn A, Berthoz A: Reticulo-spinal neurons participating in the control of synergic eye and head movements during orienting in the cat I. Behavioral properties. Exp Brain Res. 1987, 66: 339-354. 10.1007/BF00243309.

    Article  CAS  PubMed  Google Scholar 

  8. Shimura K, Kasai T: Effects of proprioceptive neuromuscular facilitation on the initiation of voluntary movement and motor evoked potentials in upper limb muscles. Hum Mov Sci. 2002, 21: 101-113. 10.1016/S0167-9457(01)00057-4.

    Article  PubMed  Google Scholar 

  9. Taniguchi R, Nakamura R, Yokochi F, Narabayashi H: Effects of postural change of the shoulder on EMG reaction time of triceps brachii. Appl Neurophysiol. 1980, 43: 40-47.

    CAS  PubMed  Google Scholar 

  10. Vallar G, Rusconi ML, Barozzi S, Bernardini B, Ovadia D, Papagno C, Cesarani A: Improvement of left visuo-spatial hemineglect by left-sided transcutaneous electrical stimulation. Neuropsychologia. 1995, 33: 73-82. 10.1016/0028-3932(94)00088-7.

    Article  CAS  PubMed  Google Scholar 

  11. Fujiwara K, Kunita K, Toyama H, Miyaguchi A: Saccadic reaction times during isometric voluntary contraction of the shoulder girdle elevators and vibration stimulation to the trapezius. Eur J Appl Physiol. 2001, 85: 527-532. 10.1007/s004210100509.

    Article  CAS  PubMed  Google Scholar 

  12. Moruzzi G, Magoun HW: Brain stem reticular formation and activation of the EEG. Electroencephalogr Clin Neurophysiol. 1949, 1: 455-473.

    Article  CAS  PubMed  Google Scholar 

  13. Jones BE: Activity, modulation and role of basal forebrain cholinergic neurons innervating the cerebral cortex. Prog Brain Res. 2004, 145: 157-169.

    Article  CAS  PubMed  Google Scholar 

  14. Valatx JL: Disorders of consciousness: anatomical and physiological mechanisms. Adv Tech Stand Neurosurg. 2004, 29: 3-22. 10.1007/978-3-7091-0558-0_1.

    CAS  PubMed  Google Scholar 

  15. Kunita K, Fujiwara K: Changes in the P100 latency of the visual evoked potential and the saccadic reaction time during isometric contraction of the shoulder girdle elevators. Eur J Appl Physiol. 2004, 92: 421-424.

    Article  PubMed  Google Scholar 

  16. Fujiwara K, Shigeiwa M, Maeda K, Kunita K: Changes in posterior auricular muscle response and middle-latency brain potential evoked by auditory stimuli according to neck flexion. Health Behav Sci. 2005, 3: 69-77.

    Google Scholar 

  17. Ehlis AC, Ringel TM, Plichta MM, Richter MM, Herrmann MJ, Fallgatter AJ: Cortical correlates of auditory sensory gating: a simultaneous near-infrared spectroscopy event-related potential study. Neurosci. 2009, 159: 1032-1043. 10.1016/j.neuroscience.2009.01.015.

    Article  CAS  Google Scholar 

  18. Franceschini MA, Fantini S, Thompson JH, Culver JP, Boas DA: Hemodynamic evoked response of the sensorimotor cortex measured noninvasively with near-infrared optical imaging. Psychophysiol. 2003, 40: 548-560. 10.1111/1469-8986.00057.

    Article  Google Scholar 

  19. Ruytjens L, Willemsen AT, van Dijk P, Wit HP, Albers FW: Functional imaging of the central auditory system using PET. Acta Otolaryngol. 2006, 126: 1236-1244. 10.1080/00016480600801373.

    Article  CAS  PubMed  Google Scholar 

  20. Kiyota N, Fujiwara K: Effects of anti-saccade training with neck flexion on eye movement performance, presaccadic potentials and prefrontal hemodynamics in the elderly. Eur J Appl Physiol. 2010, 110: 1143-1154. 10.1007/s00421-010-1603-7.

    Article  PubMed  Google Scholar 

  21. Katsumi O, Hirose T, Tanino T: Effect of stimulus field size and localization on the binocular pattern reversal visual evoked response. Doc Opthalmol. 1988, 69: 293-305. 10.1007/BF00154410.

    Article  CAS  Google Scholar 

  22. Pardhan S: Binocular recognition summation in the peripheral visual field: contrast and orientation dependence. Vision Res. 2003, 43: 1249-1255.

    Article  CAS  PubMed  Google Scholar 

  23. Obrig H, Israel H, Kohl-Bareis M, Uludag K, Wenzel R, Müller B, Arnold G, Villringer A: Habituation of the visually evoked potential and its vascular response: implications for neurovascular coupling in the healthy adult. NeuroImage. 2002, 17: 1-18. 10.1006/nimg.2002.1177.

    Article  PubMed  Google Scholar 

  24. Tanosaki M, Sato C, Shimada M, Iguchi Y, Hoshi Y: Effect of stimulus frequency on human cerebral hemodynamic responses to electric median nerve stimulation: a near-infrared spectroscopic study. Neurosci Lett. 2003, 352: 1-4. 10.1016/j.neulet.2003.08.055.

    Article  CAS  PubMed  Google Scholar 

  25. Tobimatsu S, Celesia GG: Studies of human visual pathophysiology with visual evoked potentials. Clinical Neurophysiol. 2006, 117: 1414-1433. 10.1016/j.clinph.2006.01.004.

    Article  Google Scholar 

  26. Schroeter ML, Kupka T, Mildner T, Uludağ K, von Cramon DY: Investigating the post-stimulus undershoot of the BOLD signal–a simultaneous fMRI and fNIRS study. NeuroImage. 2006, 30: 349-358. 10.1016/j.neuroimage.2005.09.048.

    Article  PubMed  Google Scholar 

  27. Strangman G, Culver JP, Thompson JH, Boas DA: A quantitative comparison of simultaneous BOLD fMRI and NIRS recordings during functional brain activation. NeuroImage. 2002, 17: 719-731. 10.1006/nimg.2002.1227.

    Article  PubMed  Google Scholar 

  28. Pratt H, Bleich N, Berliner E: Short latency visual evoked potentials in man. Electroencephalogr Clin Neurophysiol. 1982, 54: 55-62. 10.1016/0013-4694(82)90231-0.

    Article  CAS  PubMed  Google Scholar 

  29. Hashimoto T, Kashii S, Kikuchi M, Honda Y, Nagamine T, Shibasaki H: Temporal profile of visual evoked responses to pattern-reversal stimulation analyzed with a whole-head magnetometer. Exp Brain Res. 1999, 125: 375-382. 10.1007/s002210050693.

    Article  CAS  PubMed  Google Scholar 

  30. Nakamura A, Kakigi R, Hoshiyama M, Koyama S, Kitamura Y, Shimojo M: Visual evoked cortical magnetic fields to pattern reversal stimulation. Brain Res Cogn Brain Res. 1997, 6: 9-22. 10.1016/S0926-6410(97)00013-X.

    Article  CAS  PubMed  Google Scholar 

  31. Seki K, Nakasato N, Fujita S, Hatanaka K, Kawamura T, Kanno A, Yoshimoto T: Neuromagnetic evidence that the P100 component of the pattern reversal visual evoked response originates in the bottom of the calcarine fissure. Electroencephalogr Clin Neurophysiol. 1996, 100: 436-442.

    Article  CAS  PubMed  Google Scholar 

  32. Shigeto H, Tobimatsu S, Yamamoto T, Kobayashi T, Kato M: Visual evoked cortical magnetic responses to checkerboard pattern reversal stimulation: a study on the neural generators of N75, P100 and N145. J Neurol Sci. 1998, 156: 186-194. 10.1016/S0022-510X(98)00026-4.

    Article  CAS  PubMed  Google Scholar 

  33. Liegeois-Chauvel C, Musolino A, Chauvel P: Localization of the primary auditory area in man. Brain. 1991, 114: 139-153.

    PubMed  Google Scholar 

  34. Ponton C, Eggermont JJ, Khosla D, Kwong B, Don M: Maturation of human central auditory system activity: separating auditory evoked potentials by dipole source modeling. Clin Neurophysiol. 2002, 113: 407-420. 10.1016/S1388-2457(01)00733-7.

    Article  PubMed  Google Scholar 

  35. Yokoyama T, Uemura K: Study of neural activities of the primary auditory cortex and middle latency auditory evoked potentials. J Clin Neurophysiol. 1993, 10: 217-225. 10.1097/00004691-199304000-00009.

    Article  CAS  PubMed  Google Scholar 

  36. Baumgartner C, Doppelbauer A, Deecke L, Barth DS, Zeitlhofer J, Lindinger G, Sutherling WW: Neuromagnetic investigation of somatotopy of human hand somatosensory cortex. Exp Brain Res. 1991, 87: 641-648.

    Article  CAS  PubMed  Google Scholar 

  37. Forss N, Hari R, Salmelin R, Ahonen A, Hämäläinen M, Kajola M, Knuutila J, Simola J: Activation of the human posterior parietal cortex by median nerve stimulation. Exp Brain Res. 1994, 99: 309-315.

    Article  CAS  PubMed  Google Scholar 

  38. Hari R, Reinikainen K, Kaukoranta E, Hämäläinen M, Ilmoniemi R, Penttinen A, Salminen J, Teszner D: Somatosensory evoked cerebral magnetic fields from SI and SII in man. Electroencephalogr Clin Neurophysiol. 1984, 57: 254-263. 10.1016/0013-4694(84)90126-3.

    Article  CAS  PubMed  Google Scholar 

  39. Kakigi R: Somatosensory evoked magnetic fields following median nerve stimulation. Neurosci Res. 1994, 20: 165-174. 10.1016/0168-0102(94)90034-5.

    Article  CAS  PubMed  Google Scholar 

  40. Allison T, McCarthy G, Wood CC, Jones SJ: Potentials evoked in human and monkey cerebral cortex by stimulation of the median nerve: a review of scalp and intracranial recordings. Brain. 1991, 114: 2465-2503. 10.1093/brain/114.6.2465.

    Article  PubMed  Google Scholar 

  41. Hoshiyama M, Kakigi R: Correspondence between short-latency somatosensory evoked brain potentials and cortical magnetic fields following median nerve stimulation. Brain Res. 2001, 908: 140-148. 10.1016/S0006-8993(01)02623-3.

    Article  CAS  PubMed  Google Scholar 

  42. Waberski TD, Buchner H, Perkuhn M, Gobbelé R, Wagner M, Kücker W, Silny J: N30 and the effect of explorative finger movements: a model of the contribution of the motor cortex to early somatosensory potentials. Clin Neurophysiol. 1999, 110: 1589-1600. 10.1016/S1388-2457(99)00092-9.

    Article  CAS  PubMed  Google Scholar 

  43. Stendel R, Jahnke U, Straschill M: Changes of medium-latency SEP-components following peripheral nerve lesion. J Brachial Plex Peripher Nerve Inj. 2006, 1: 1-6. 10.1186/1749-7221-1-1.

    Google Scholar 

  44. Goto Y, Taniwaki T, Kinukawa N, Tobimatsu S: Interhemispheric functional synchronization at the first step of visual information processing in humans. Clin Neurophysiol. 2004, 115: 1409-1416. 10.1016/j.clinph.2004.01.013.

    Article  PubMed  Google Scholar 

  45. Gazzaley A, Rissman J, Cooney J, Rutman A, Seibert T, Clapp W, D’Esposito M: Functional interactions between prefrontal and visual association cortex contribute to top-down modulation of visual processing. Cereb Cortex. 2007, 17 (Suppl 1): i125-i135.

    Article  PubMed Central  PubMed  Google Scholar 

  46. Rowe JB, Stephan KE, Friston K, Frackowiak RS, Passingham RE: The prefrontal cortex shows context-specific changes in effective connectivity to motor or visual cortex during the selection of action or colour. Cereb Cortex. 2005, 15: 85-95.

    Article  PubMed  Google Scholar 

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Correspondence to Katsuo Fujiwara.

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Contribution of each author is as follows: KF presented all the idea of this study, planed the method, directed the experiments and interpreted the results. Most sentences in Introduction and Discussion including Conclusion were written by KF, KK and AM. KK, NK, AM and MI contributed to the experiments, data analyses and wrote the sections of Experimental procedures and Results. They also discussed about all part of manuscript with KF. All authors read and approved the final manuscript.

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Fujiwara, K., Kunita, K., Kiyota, N. et al. The effects of neck flexion on cerebral potentials evoked by visual, auditory and somatosensory stimuli and focal brain blood flow in related sensory cortices. J Physiol Anthropol 31, 31 (2012). https://doi.org/10.1186/1880-6805-31-31

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