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. 2022 Feb 8;28:e936131-1–e936131-6. doi: 10.12659/MSM.936131

Evaluation of Structural Neural Connectivity Between the Primary Auditory Cortex and Cognition-Related Brain Areas Using Diffusion Tensor Tractography in 43 Normal Adults

Sung Ho Jang 1,A,D,E,F,G, Eun Bi Choi 1,B,C,D,E,F,✉
PMCID: PMC8839837  PMID: 35132051

Abstract

Background

Little is known about the structural neural connectivity between the primary auditory cortex and cognition-related brain areas in the human brain. This study aimed to evaluate the structural neural connectivity between the primary auditory cortex and cognition-related brain areas in normal subjects, using diffusion tensor tractography (DTT).

Material/Methods

Forty-three healthy subjects with no prior history of audiological, neurological, physical, or psychiatric illnesses were recruited for this study. Diffusion tensor imaging data analysis was performed using the Oxford Centre for Functional Magnetic Resonance Imaging of Brain (FMRIB) Software Library. In each subject, a region of interest was set on the primary auditory cortex, including the subcortical white matter. We assessed the neural connectivity between the primary auditory cortex and cognition-related brain areas (the dorsolateral prefrontal cortex [DLPFC]; ventrolateral prefrontal cortex [VLPFC]; orbitofrontal cortex [OFC]; hippocampus; parahippocampal cortex; amygdala, anterior and posterior cingulate gyrus; and fornix).

Results

According to the results of DTT, the primary auditory cortex showed neural connectivity (over 50%) with the following areas: the threshold of 1 streamline – the VLPFC (94.2%), OFC (84.9%), fornix (80.2%), hippocampus (76.7%), parahippocampal cortex(74.4%) and DLPFC (58.1%); the threshold of 5 streamlines – the VLPFC (88.4%), OFC (81.4%), fornix (66.3%), hippocampus (55.8%), and parahippocampal cortex (53.5%); and the threshold of 15 streamlines – the VLPFC (82.6%), OFC (74.4%), and fornix (53.5%).

Conclusions

In normal human subjects, DTT showed that the primary auditory cortex had a high degree of neural connectivity with the prefrontal cortex, fornix, hippocampus, and parahippocampal cortex, which are brain areas associated with cognition and memory.

Keywords: Auditory Cortex, Diffusion Tensor Imaging, Neural Pathways, Cognition

Background

The auditory cortex, which is part of the auditory system, processes auditory information, performing the basic and higher functions of hearing [1,2]. The auditory cortex, which is in the temporal lobe, is classified as the primary, secondary, and tertiary auditory cortices [3]. The primary auditory cortex (Brodmann areas 41 and 42), which plays a crucial role in sound perception, is the most highly organized processing area of sound in the human brain [4]. Previous studies have reported that the primary auditory cortex is also related to cognitive functions, such as decision-making, auditory nonverbal attention, prediction, learning, and working memory [5–11].

The prevalence of hearing loss is estimated at 1.57 billion people globally, and the incidence is higher in older adults; more than 60% of people with hearing loss are over 50 years old [12,13]. Recent studies have reported that hearing loss is associated with cognitive impairment and the exacerbation of dementia [13–17]. Changes in the neural network between the primary auditory cortex and cognition-related brain areas have been suggested as an important pathophysiological hypothesis for cognitive impairment following hearing loss [18–20]. Thus, clarification of the neural connections of the primary auditory cortex with cognition-related brain areas would be important in neuro-rehabilitation.

Previous studies using resting-state functional magnetic resonance imaging (fMRI) have reported that the auditory cortex has functional connectivity with various brain areas, including the cognition-related brain areas (dorsolateral prefrontal cortex [DLPFC], orbitofrontal cortex [OFC], cingulate cortex, hippocampus, and amygdala) [11,21,22]. On the other hand, resting-state fMRI has a limitation in identifying the structural neural connections because it results from functional connectivity between brain areas based on an evaluation of coordinated neural activity using the synchronous firing of transient neural signals [23,24]. Recently developed diffusion tensor tractography (DTT), which is derived from diffusion tensor imaging (DTI), is a technique used to reveal the structural neural connectivity in three-dimensional visualization by the detection of the translational displacement of water molecules [25,26]. In particular, the estimation of local uncertainty could be enabled by using the probabilistic tracking method in the fiber orientation of each voxel [25,26]. In other words, it considers the distribution of the underlying fiber structure. Accordingly, probabilistic DTI tractography has been used widely to investigate structural connectivity between neural structures, including the amygdala, red nucleus, lateral geniculate body, and vestibular nucleus, in the human brain [27–31]. Some DTT-based studies have demonstrated structural connectivity between the auditory cortex and several specific brain areas (the amygdala, superior temporal sulcus, supramarginal gyrus, intraparietal sulcus, occipital cortex and secondary somatosensory cortex) [32–34]. On the other hand, there has been no study on the structural neural connectivity of the primary auditory cortex with the cognition-related brain areas in the human brain.

This study aimed to evaluate the structural neural connectivity between the primary auditory cortex and cognition-related brain areas in normal subjects, using DTT.

Material and Methods

Ethics Approval

The retrospective study was performed in accordance with the requirements of the Declaration of Helsinki research guidelines and the institutional review board of a university hospital approved the study protocol. All subjects understood the purpose of the study and provided written, informed consent prior to participation.

Subjects

Forty-three subjects (22 males, 21 females; mean age 33.37±8.37 years, range 20–48 years) with no history of audiological, neurological, physical, or psychiatric illnesses were recruited for this study.

Diffusion Tensor Imaging

DTI scanning was performed using a 1.5T Philips Gyroscan Intera scanner (Hoffman-LaRoche, Best, Netherlands) with a six-channel head coil. A single-shot, spin-echo planar imaging method was used in 67 contiguous slices acquiring parallel to the anterior commissure-posterior commissure line for each of the 32 non-collinear diffusion-sensitizing gradients (acquisition matrix=96×96; reconstructed to matrix=192×192; field of view=240×240 mm2; repetition time=10,398 ms; echo time=72 ms; parallel imaging reduction factor [sensitivity encoding factor]=2; echo planar imaging factor=59; b=1000 s/mm2; number of excitations=1; and slice thickness=2.5 mm).

Probabilistic Fiber Tracking

The Oxford Centre for Functional Magnetic Resonance Imaging of Brain (FMRIB) Software Library (FSL: www.fmrib.ox.ac.uk/fsl) was used for DTI data analysis [35–37]. Affine multi-scale two-dimensional registration was applied to correct for head motion effects and image distortions. A probabilistic tractography method based on a multifiber model provided in FMRIB diffusion software with BedpostX method was applied using the software routines option, consisting of 5000 streamline samples, 0.5 mm step lengths, and curvature thresholds=0.2, for fiber tracking.

In each subject, a region of interest was set on the primary auditory cortex (Brodmann area 41 and 42), including the subcortical white matter for elucidating the connectivity between the primary auditory cortex and cognition-related brain areas (Figure 1). The results were visualized at the threshold level of 1, 5, and 15 streamlines through each voxel. The neural connectivity was defined as the incidence of connection between the primary auditory cortex and the following brain regions closely related to cognition: the DLPFC; ventrolateral prefrontal cortex (VLPFC); OFC; hippocampus; parahippocampal cortex; amygdala; anterior cingulate gyrus and posterior cingulate gyrus; and fornix (Figure 1).

Figure 1.

Figure 1

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Region of interest and the cognition-related brain areas. Region of interest: the primary auditory cortex. The cognition-related brain areas: the dorsolateral prefrontal cortex (DLPFC), ventrolateral prefrontal cortex (VLPFC), anterior and posterior cingulate gyri, orbitofrontal cortex (OFC), amygdala, hippocampus, and parahippocampal cortex.

Results

Table 1 summarizes the neural connectivity of the primary auditory cortex. At the threshold level of one streamline, the primary auditory cortex showed more than 50% connectivity to the VLPFC (94.2%), OFC (84.9%), fornix (80.2%), hippocampus (76.7), parahippocampal cortex (74.4%), and DLPFC (58.1%) (Figure 2). In contrast, the VLPFC (88.4%), OFC (81.4%), fornix (66.3%), hippocampus (55.8%), and parahippocampal cortex (53.5%) revealed more than 50% connectivity with the primary auditory cortex at the threshold level of 5 streamlines. At the threshold level of 15 streamlines, the primary auditory cortex presented more than 50% connectivity to the VLPFC (82.6%), OFC (74.4%), and fornix (53.5%).

Table 1.

Incidence of neural connectivity (%) between the primary auditory cortex and the cognition-related brain areas in normal subjects.

Targeted brain region Average of Rt/Lt hemispheres (%)
1 threshold 5 threshold 15 threshold
VLPFC 94.2 88.4 82.6
OFC 84.9 81.4 74.4
Fornix 80.2 66.3 53.5
Hippocampus 76.7 55.8 38.4
Parahippocampal cortex 74.4 53.5 38.4
DLPFC 58.1 38.4 20.9
Amygdala 44.2 32.6 18.6
Posterior cingulate gyrus 41.9 31.4 19.8
Anterior cingulate gyrus 30.2 17.4 7.0
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Rt – right; Lt – left; VLPFC – ventrolateral prefrontal cortex; OFC – orbitofrontal cortex; DLPFC – dorsolateral prefrontal cortex.

Figure 2.

Figure 2

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Diffusion tensor tractography for the structural neural connectivity between the primary auditory cortex and the cognition-related brain areas in a representative normal subject (a 33-year-old man).

Discussion

This study examined the neural connectivity between the primary auditory cortex and cognition-related brain areas in normal subjects using DTT. According to these results, the primary auditory cortex showed high connectivity (over 50%) with the following areas: the threshold of 1 streamline – the VLPFC, OFC, fornix, hippocampus, parahippocampal cortex, and DLPFC; the threshold of 5 streamlines – the VLPFC, OFC, fornix, hippocampus, and parahippocampal cortex; the threshold of 15 streamlines – the VLPFC, OFC, and fornix. As a result, the primary auditory cortex was closely connected to the prefrontal lobe (VLPFC, OFC, and DLPFC) and the declarative memory-related neural structures (fornix, hippocampus, and parahippocampal cortex).

Recent studies using human and animal models have reported that the auditory cortex is involved in various cognitive processes (decision-making, auditory nonverbal attention, prediction, learning, and working memory) [5,9–11]. In the present study, the prefrontal cortex (VLPFC, OFC, and DLPFC) and declarative memory-related neural structures (fornix, hippocampus, and parahippocampal cortex) had high connectivity with the primary auditory cortex. The prefrontal cortex is mainly involved in high cognition: the VLPFC decision-making, goal-directed behavior, and auditory non-spatial processes; the OFC-cognitive process of decision-making and involvement in the reward system; and the DLPFC-working memory and auditory spatial localization [38–40]. On the other hand, the fornix, hippocampus, and parahippocampal cortex are involved in the declarative memory: the fornix – connection of the hippocampus with several subcortical areas; the hippocampus – the consolidation of information from short-term memory to long-term memory; the parahippocampal cortex – the encoding and retrieval of declarative memory [41–46]. Therefore, these results suggest that the primary auditory cortex had a high degree of neural connectivity with several brain areas related to cognition, particularly high cognition and declarative memory function [38–46].

A few studies have examined the neural connectivity of the auditory regions with other brain regions using resting-state fMRI [11,21,22]. In 2018, Yuan et al reported the connectivity between Heschl’s gyrus and various brain regions, including the superior temporal gyrus, DLPFC, parietal cortex, occipital lobe, cingulate cortex, hippocampus, and amygdala [22]. In 2020, Wang et al reported the connectivity between the auditory network (the superior temporal gyrus and Heschl’s gyrus) and reward network (nucleus accumbens, caudate, putamen, and OFC) in 47 patients with mild cognitive impairment, 11 patients with Alzheimer disease, and 47 normal subjects [21]. In 2021, Jianxun et al reported the connectivity of the auditory regions around Geschl’s gyrus with low variability with the sensory-motor cortex and the auditory regions in the superior temporal gyrus with high variability with the inferior frontal gyrus and temporal pole in 30 normal subjects [11]. Regarding DTT, a few studies have reported the neural connectivity of the auditory cortex with specific brain areas [32–34]. In 2010, Crippa et al reported the neural connection between the auditory cortex and amygdala in 10 tinnitus patients and 15 normal subjects [32]. In 2011, Beer et al observed projections from Heschl’s region to the superior temporal sulcus, supramarginal gyrus, intraparietal sulcus, and occipital cortex in 10 normal subjects [33]. In 2013, Tony et al reported a neural connection of the primary auditory cortex with the primary and secondary somatosensory cortex in one patient with acquired auditory-tactile synesthesia and 17 normal subjects [34]. The above DTT-based studies investigated the structural connectivity between the auditory cortex and specific brain regions. Direct comparison our results with previous studies is impossible because there has been no study investigating the neural connectivity between the primary auditor cortex and cognition-related brain regions, like our study. However, previous studies have reported the neural connectivity to some brain areas (the DLPFC, hippocampus, and OFC), which coincided with our results [11,21,22]. As a result, to the best of our knowledge, this is the first study to demonstrate the neural connectivity of the primary auditory cortex with the cognition-related brain areas using DTT.

This study had some limitations. First, the afferent and efferent fibers between the primary auditory cortex and cognition-related brain regions could not be divided because DTT cannot detect the direction. Second, the strength of the connectivity between the primary auditory cortex and each brain region could not be quantified. Third, the use of probabilistic DTT tractography can result in false-positive and false-negative findings because of the fiber complexity or partial volume effect [47,48]. Fourth, the angle size could affect the structural neural connectivity and lead to false-negative findings. Therefore, further studies to overcome these limitations are warranted.

Conclusions

In conclusion, this study examined the structural neural connectivity between the primary auditory cortex and the cognition-related brain areas in the 43 normal adult human subjects. DTT showed that the primary auditory cortex had a high degree of neural connectivity with the prefrontal cortex, fornix, hippocampus, and parahippocampal cortex, which are brain areas associated with cognition and memory. These results are expected to be helpful in neuro-rehabilitation. For example, the primary auditory cortex stimulation using transcranial direct current stimulation or repetitive transcranial magnetic stimulation can activate the prefrontal cortex and declarative memory-related neural structures. Further clinical studies on this topic are needed.

Acknowledgements

We thank the Oxford Centre for Functional Magnetic Resonance Imaging of Brain (FMRIB) Software Library.

Footnotes

Conflict of interest: None declared

Declaration of Figures’ Authenticity

All figures submitted have been created by the authors, who confirm that the images are original with no duplication and have not been previously published in whole or in part.

Financial support: This work was supported by the Medical Research Center Program (2015R1A5A2009124) through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning

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