Loading [MathJax]/jax/output/SVG/jax.js
Research article Topical Sections

Facial emotion mimicry in older adults with and without cognitive impairments due to Alzheimer's disease

  • Received: 06 January 2021 Accepted: 25 January 2021 Published: 27 January 2021
  • Facial expression of humans is one of the main channels of everyday communication. The reported research work investigated communication regarding the pattern of emotional expression of healthy older adults and with mild cognitive impairments (MCI) or Alzheimer's disease (AD). It focuses on mimicking of displayed emotional facial expression on a sample of 25 older adults (healthy, MCI and AD patients). The adequacy of the patients' individual facial expressions in six basic emotions was measured with the Kinect 3D recording of the participants' facial expressions and compared to their own typical emotional facial expressions. The reactions were triggered by mimicking 49 still pictures of emotional facial expressions. No statistically significant differences in terms of frequency nor adequacy of emotional facial expression were reported in healthy and MCI groups. Unique patterns of emotional expressions have been observed in the AD group. Further investigating the pattern of older adults' facial expression may decrease the misunderstandings and increase the quality of life of the patients.

    Citation: Justyna Gerłowska, Krzysztof Dmitruk, Konrad Rejdak. Facial emotion mimicry in older adults with and without cognitive impairments due to Alzheimer's disease[J]. AIMS Neuroscience, 2021, 8(2): 226-238. doi: 10.3934/Neuroscience.2021012

    Related Papers:

    [1] Hongjie Li . Recent progress on the mathematical study of anomalous localized resonance in elasticity. Electronic Research Archive, 2020, 28(3): 1257-1272. doi: 10.3934/era.2020069
    [2] Yuhua Long, Huan Zhang . Existence and multiplicity of nontrivial solutions to discrete elliptic Dirichlet problems. Electronic Research Archive, 2022, 30(7): 2681-2699. doi: 10.3934/era.2022137
    [3] Chenghua Gao, Enming Yang, Huijuan Li . Solutions to a discrete resonance problem with eigenparameter-dependent boundary conditions. Electronic Research Archive, 2024, 32(3): 1692-1707. doi: 10.3934/era.2024077
    [4] Shuhai Zhu . Doubly critical problems involving Sub-Laplace operator on Carnot group. Electronic Research Archive, 2024, 32(8): 4969-4990. doi: 10.3934/era.2024229
    [5] Jon Johnsen . Well-posed final value problems and Duhamel's formula for coercive Lax–Milgram operators. Electronic Research Archive, 2019, 27(0): 20-36. doi: 10.3934/era.2019008
    [6] Yan Dong . Local Hölder continuity of nonnegative weak solutions of inverse variation-inequality problems of non-divergence type. Electronic Research Archive, 2024, 32(1): 473-485. doi: 10.3934/era.2024023
    [7] Xuexiao You, Ning Cao, Wei Wang . An MTL1TV non-convex regularization model for MR Image reconstruction using the alternating direction method of multipliers. Electronic Research Archive, 2024, 32(5): 3433-3456. doi: 10.3934/era.2024159
    [8] Messoud Efendiev, Vitali Vougalter . Linear and nonlinear non-Fredholm operators and their applications. Electronic Research Archive, 2022, 30(2): 515-534. doi: 10.3934/era.2022027
    [9] J. F. Toland . Path-connectedness in global bifurcation theory. Electronic Research Archive, 2021, 29(6): 4199-4213. doi: 10.3934/era.2021079
    [10] Yiyuan Qian, Haiming Song, Xiaoshen Wang, Kai Zhang . Primal-dual active-set method for solving the unilateral pricing problem of American better-of options on two assets. Electronic Research Archive, 2022, 30(1): 90-115. doi: 10.3934/era.2022005
  • Facial expression of humans is one of the main channels of everyday communication. The reported research work investigated communication regarding the pattern of emotional expression of healthy older adults and with mild cognitive impairments (MCI) or Alzheimer's disease (AD). It focuses on mimicking of displayed emotional facial expression on a sample of 25 older adults (healthy, MCI and AD patients). The adequacy of the patients' individual facial expressions in six basic emotions was measured with the Kinect 3D recording of the participants' facial expressions and compared to their own typical emotional facial expressions. The reactions were triggered by mimicking 49 still pictures of emotional facial expressions. No statistically significant differences in terms of frequency nor adequacy of emotional facial expression were reported in healthy and MCI groups. Unique patterns of emotional expressions have been observed in the AD group. Further investigating the pattern of older adults' facial expression may decrease the misunderstandings and increase the quality of life of the patients.



    In this paper we will study the existence of nontrivial solutions of the following nonlocal elliptic problem

    {LKu=λu+g(x,u)xΩ,u=0xRNΩ (1.1)

    where Ω is an open bounded subset of RN with a smooth boundary, g:Ω×RR is a differential function whose properties will be given later, λ is an eigenvalue of LK and LK is a non-local elliptic operator formally defined as follows

    LKu(x):=RN(u(x+y)+u(xy)2u(x))K(y)dy,   xRN, (1.2)

    where the kernel K:RN{0}(0,) is a function with the properties that

    {mKL1(RN) with m(x)=min{|x|2,1}, and there is θ>0 such thatK(x)θ|x|(N+2s) for any xRN{0}, and s(0,1) is fixed. (1.3)

    The integro-differential operator LK is a generalization of the fractional Laplacian (Δ)s which is defined as

    (Δ)su(x):=RNu(x+y)+u(xy)2u(x)|y|N+2sdy,   xRN. (1.4)

    When one takes the kernel K(x)=|x|(N+2s) then LK=(Δ)s. In this case the problem (1.1) becomes

    {(Δ)su=λu+g(x,u)xΩ,u=0,xRNΩ. (1.5)

    The problem (1.5) can be regarded as the counterpart of the semilinear elliptic boundary value problem

    {Δu=λu+g(x,u)xΩ,u=0,xΩ, (1.6)

    where λ is an eigenvalue of Δ with a 0-Dirichlet boundary value.

    A weak solution for (1.1) is a function u:RNR such that

    {R2N(u(x)u(y))(φ(x)φ(y))K(xy)dxdyλΩu(x)φ(x)dx                                      =Ωg(x,u(x))φ(x)dx      for all  φX0uX0. (1.7)

    Here the linear space

    X0={vX: v=0  a.e. in RNΩ},

    and the functional space X denotes the linear space of Lebesgue measurable functions from RN to R such that the restriction to Ω of any function v in X belongs to L2(Ω) and

    the map (x,y)(v(x)v(y))K(xy)  is in  L2(R2N(CΩ×CΩ),dxdy),

    where CΩ:=RNΩ. The properties of the functional space X0 will be introduced in the next section.

    The non-local equations have been experiencing impressive applications in different subjects, such as the thin obstacle problem, phase transitions, stratified materials, anomalous diffusion, crystal dislocation, soft thin films, semipermeable membranes and flame propagation, conservation laws, ultrarelativistic limits of quantum mechanics, quasigeostrophic flows, multiple scattering, minimal surfaces, materials science, water waves, elliptic problems with measured data, optimization, finance, etc. See [1] and the references therein. The non-local problems and operators have been widely studied in the literature and have attracted the attention of lot of mathematicians coming from different research areas due to the interesting analytical structure and broad applicability. Many mathematicians have applied variational methods [2] such as the mountain pass theorem[3], the saddle-point theorem[2] or other linking type of critical point theorem in the study of non-local equations with various nonlinearities that exhibit subcritical or critical growth; see [1,4,5,6,7,8,9,10,11,12,13] and references therein.

    In the present paper we will apply the Morse theory to find weak solutions to (1.1). We assume, throughout the whole paper, that the nonlinear function gC1(ˉΩ×R,R) satisfies the following growth condition

    (g) there is C>0 and p(2,2NN2s) such that

    |gt(x,t)|C(1+|t|p2)    for all (x,t)ˉΩ×R. (1.8)

    We consider the situation that the problem (1.1) has the trivial solution u0 and is resonant at infinity in the sense that the function g satisfies the following assumptions

    g(x,0)=0   uniformly in xˉΩ, (1.9)
    lim|t|g(x,t)t=0   uniformaly  in xˉΩ. (1.10)

    We refer the reader to [12, Proposition 9 and Appendix A], [14, Propositions 2.3 and 2.4] and [11, Proposition 4] for the existence and basic properties of the eigenvalue of the linear non-local eigenvalue problem given by

    {LKu=λuxΩ,u=0xRNΩ, (1.11)

    that will be collected in the next section.

    We make some further conditions on g.

    (g1) There are c1>0 and r(0,1) such that

    |g(x,t)|c1(|t|r+1)   for all tR, xΩ.

    (g±2) There are c2>0 and r(0,1) given in (g1) such that

    ±g(x,t)t0,  ±g(x,t)tc2(|t|1+r1)    for all tR, xΩ.

    We note here that (g1) implies (1.10) which characterizes the problem (1.1) as asymptotically linear resonant near infinity at the eigenvalue λ of the non-local operator LK. As an example, we can take the function g(x,t)=±a(x)|t|r1t with aL(Ω), infΩa>0 and r(0,1).

    We will prove the following theorems. We first consider the case that gt(x,0)+λ is not an eigenvalue of (1.11). We have the following conclusions.

    Theorem 1.1. Assume (1.3), (1.9) and (g1). Then the problem (1.1) admits at least one nontrivial weak solution in each of the following cases:

    (i)  (g+2),  λm<gt(x,0)+λ<λm+1,  λmλ;(ii)  (g2),  λm<gt(x,0)+λ<λm+1,  λmλ1<λ.

    For the case that gt(x,0)+λ=λm, an eigenvalue of (1.11), i.e., the trivial solution u=0 of (1.1), is degenerate. In this case the problem (1.1) is double resonant at both infinity and zero. We have the following conclusions.

    Theorem 1.2. Assume (1.3), (1.9) and (g1). Then the problem (1.1) admits at least one nontrivial weak solution in each of the following cases:

    (i)  (g+2),  gt(x,0)+λ=λm,   λ<λm1<λm or  λm<λ;(ii)  (g2),  gt(x,0)+λ=λm,   λm<λ1<λ or  λ1<λm1.

    Notice that in Theorem 1.2 there is a large difference between λ and λm. This can be reduced by imposing on g some local sign conditions near zero. We denote f(x,t):=λt+g(x,t) and F(x,t)=t0f(x,s)ds. We assume the following

    (F±0) ft(x,0)λm and there is δ>0 such that

    ±2F0(x,t):=±(2F(x,t)λmt2)0,  x¯Ω,  |t|δ.

    Theorem 1.3. Assume (1.3), (1.9) and (g1). Then the problem (1.1) admits at least one nontrivial weak solution in each of the following cases:

    (i)  (g+2),  (F+0),   λλm1<λm;   (ii)  (g2),  (F+0),   λλm;(iii)  (g+2),  (F0),   λm<λ1<λ;   (iv)  (g2),  (F0),  λ1<λm1.

    We give some remarks and comparisons. The non-local equations with resonance at infinity have been studied in some recent works. In [6,7], the famous saddle-point theorem [2] has been applied in the existence of solutions of the non-local problem related to (1.1) for the Landesman-Lazer resonance condition [15]. In [6], the authors treated a case in which one version of the Landesman-Lazer resonance condition [15] was formulated as follows:

    {g(x,t) is bounded for all (x,t)ˉΩ×R;G(x,t)=t0f(x,ς)dς as |t|. (1.12)

    In [7], the authors treated an autonomous case in which another version of the Landesman-Lazer resonance condition [15] was formulated as follows:

    {gC1(R), gl:=limtg(t)R, gr:=limt+g(t)R with gl>gr;grΩϕdxglΩϕ+dx<0<glΩϕdxgrΩϕ+dx,   ϕE(λ){0}, (1.13)

    where E(λ) is the linear space generated by the eigenfunctions corresponding to λ. In [7], there is a crucial assumption that all functions in E(λ) having a nodal set with the zero Lebesgue measure, which is valid for the fractional Laplacian (Δ)s (see [16]) and is still open for the general non-local elliptic operator LK (see [7, Equation (1.12)] and remarks therein).

    We note here that the common feature in (1.12) and (1.13) is that the nonlinear term g is bounded. Motivated by previous works [6,7], we treat, in the present paper, the completely resonant case via the application of Morse theory and critical groups. The results in this paper are new in two aspects. On one hand, the nonlinear term g is indeed unbounded and by imposing on g the global conditions (g1) and (g±2), we do not make the same assumption on the eigenfunctions of (1.11) as that in [7]. On the other hand, we explore a new application of the abstract results about critical groups at infinity that were built in [17] and modified in [18]. The conditions on g used here were first constructed in [19] for semilinear elliptic problems at resonance. Some of the above theorems may be regarded as the natural extension of local setting (1.6) to the non-local fractional setting.

    We prove the main results via Morse theory [20,21] and critical group computations. Precisely, we will work under the abstract framework built in [17] and modified in [18]. In Section 2, we collect some preliminaries about the variational formulas related to (1.1). In Section 3, we give the proofs of the main theorems including some technical lemmas.

    In this section we will give the preliminaries for the variational structure of (1.1) and preliminary results in Morse theory.

    We first recall some basic results on the functional X0 mentioned in Section 1. The functional space X0 is non-empty because C20(Ω)X0 (see [22, Lemma 11]), and it is endowed with the norm defined as

    vX0=:(R2N|v(x)v(y)|2K(xy)dxdy)12. (2.1)

    Furthermore, (X0,X0) is a Hilbert space with a scalar product (see [10, Lemmas 6 and 7]) defined by

    u,vX0=R2N(u(x)u(y))(v(x)v(y))K(xy)dxdy,  u,vX0. (2.2)

    The norm (2.1) on X0 is related to the so-called Gagliardo norm

    vHs(Ω)=:vL2(Ω)+(R2N|v(x)v(y)|2|xy|N+2sdxdy)12

    of the usual fractional Sobolev space Hs(Ω). For further details related to the fractional Sobolev spaces one can see [1,10,13] and the references therein.

    By [10, Lemma 8] and [13, Lemma 9], we have following embedding results.

    Proposition 2.1. For each q[1,2NN2s], the embedding X0Lq(RN) is continuous and there is Cq>0 such that

    uLq(RN)CquX0,    uX0.

    This embedding is compact whenever q[1,2NN2s).

    Next, we recall some basic facts about the eigenvalue problem associated with the integro-differential operator LK

    {LKu=λuxΩ,u=0,xRNΩ. (2.3)

    The number λR is an eigenvalue of (2.3) if there is a nontrivial function v:RNR such that for all φX0

    {R2N(v(x)v(y))(φ(x)φ(y))K(xy)dxdy=Ωv(x)φ(x)dxvX0.

    We denote by {λk}kN the sequence of the eigenvalue of the problem (2.3), with

    0<λ1<λ2λk   and  λk+  as  k+. (2.4)

    We denote by ϕk the eigenfunction corresponding to λk. The sequence {ϕk}kN can be normalized in such a way that the sequence provides an orthonormal basis of L2(Ω) and an orthogonal basis of X0. By [14, Proposition 2.4] one has that all ϕkL(Ω). One can refer to [12, Proposition 9 and Appendix A], [14, Proposition 2.3] and [11, Proposition 4] for a complete study of the spectrum of the integro-differential operator LK.

    The first eigenvalue λ1 is simple and can be characterized as

    λ1=minuX0,uL2(Ω)=1R2N|u(x)u(y)|2K(xy)dxdy.

    Each eigenvalue λk, k2, has finite multiplicity. More precisely, we say that λk has the finite multiplicity νkN if

    λk1<λk=λk+1=λk+νk1<λk+νk. (2.5)

    The set of all of the eigenfunctions corresponding to λk agrees with

    E(λk):=span{ϕk,ϕk+1,,ϕk+νk1},  dimE(λk)=νk.

    The eigenvalue λ1 is achieved at a positive function ϕ1 with ϕ1L2(Ω)=1. For each k2, the eigenvalue λk can be characterized as follows:

    λk=minuPk,uL2(Ω)=1R2N|u(x)u(y)|2K(xy)dxdy, (2.6)

    where

    Pk:={uX0:u,ϕjX0=0  for all  j=1,2,,k1}.

    Corresponding to the eigenvalue λk of LK with multiplicity νk, the space X0 can be split as follows:

    X0=WkVkW+k=VkWk,    Wk=WkW+k,

    where

    Wk=λj<λkE(λj),  Vk=E(λk),  W+k=(WkVk)=¯λj>λkE(λj).

    For each eigenvalue λk, we can define a linear operator Ak:X0X0 by

    Aku,v:=R2N(u(x)u(y))(v(x)v(y))K(xy)dxdyλkΩuvdx. (2.7)

    By the continuous embedding from X0 into L2(Ω) in Proposition 2.1, one can deduce that Ak is a bounded self-adjoint linear operator so that Akϕ,ϕ=0 for all ϕVk=:ker(Ak).

    Finally, we conclude this subsection with the following variational inequalities which can be deduced by the variational characterization of the eigenvalues and the standard Fourier decomposition:

    Aku,u(1λkλk1)u2X0,    uWk, (2.8)
    Akv,v(1λkλk+νk)v2X0,    vW+k. (2.9)

    In this section we give the proofs of the main results in this paper via some abstract results on Morse theory [20,21] for a C2 functional J defined on a Hilbert space. These results come from [17,18,20,21,23,24,25], etc. We refer the readers to [26] for a brief summary of the concepts, definitions and the abstract results about critical groups and Morse theory.

    First of all, we observe that the problem (1.1) has a variational structure; indeed, it is the Euler-Lagrange equation of the functional J:X0R defined as

    J(u)=12R2N|u(x)u(y)|2K(xy)dxdy12λΩ|u|2dxΩG(x,u)dx, uX0, (3.1)

    where G(x,t)=t0g(x,ς)dς. Since the nonlinear function g satisfies the assumption (g), by Proposition 2.1, the functional J is well defined on X0 and is of class C2 (see a detailed proof in [26]) with the derivatives given by

    J(u),v=R2N(u(x)u(y))(v(x)v(y))K(xy)dxdy  λΩuvdxΩg(x,u)vdx,      u,vX0, (3.2)
    J(u)v,w=R2N(v(x)v(y))(w(x)w(y))K(xy)dxdy    λΩvwdxΩgt(x,u)vwdx,     u,v,wX0. (3.3)

    From (3.2) and (1.7), one sees that critical points of J are exactly weak solutions to (1.1).

    Define the functional F:X0R by

    F(u)=ΩG(x,u(x))dx,  uX0. (3.4)

    According to (2.7) with λ, the functional J can be written as

    J(u)=12Au,u+F(u),  uX0. (3.5)

    Using the assumption (g1) we can deduce that

    F(u)=o(uX0)   as  uX0. (3.6)

    Therefore J fits the basic assumptions in the abstract framework required by [26, Proposition 2.5] with respect to X0=VW.

    Next we prove one technical lemma that will be used to verify the angle conditions required by [26, Proposition 2.5] for computation of the critical groups at infinity.

    Lemma 3.1. Assume (g1) and (g±2). Then there exist M>0, ϵ(0,1) and β>0 such that

    ±Ωg(x,u)vdxβv1+rX0. (3.7)

    for any u=v+wX0=VW with uX0M and wX0ϵuX0.

    Proof. We give the proof for the case that (g1) and (g+2) hold.

    For u=v+wX0=VW, we set

    C(M,ϵ)={u=v+w: uX0M, wX0ϵuX0},

    where M>0 and ϵ(0,1) will be chosen below.

    For uC(M,ϵ), we have

    |vX01ϵ2 uX0,   wX0ϵ1ϵ2vX0. (3.8)

    It follows from (g1) and (g+2) that

    Ωg(x,u)vdx=Ωg(x,u)udxΩg(x,u)wdxΩg(x,u)udxΩ|g(x,u)||w|dxc2Ω(|u|1+r1)dxc1Ω(|u|r+1)|w|dx.c2Ω|u|1+rdxc1Ω|u|r|w|dxc1C1wX0c2|Ω|. (3.9)

    By Proposition 2.1 and the Hölder inequality we have

    Ω|u|r|w|dx(Ω|u|1+r)r1+r(Ω|w|1+r)11+rC1+r1+rurX0wX0C1+r1+rϵu1+rX0. (3.10)

    Since V is finite dimensional, by the elementary inequality |a+b|q2q1(|a|q+|b|q) for all a,bR, we have that

    Ω|u|1+rdx=Ω|v+w|1+rdx12rΩ|v|1+rdxΩ|w|1+rdx12rv1+rL1+r(Ω)C1+r1+rw1+rX012rˆc1+r(1ϵ2)1+r2u1+rX0C1+r1+rϵ1+ru1+rX0. (3.11)

    here ˆc is the embedding constant of L1+r(Ω)V. Therefore for uC(M,ϵ), it follows from (3.9)–(3.11) that

    Ωg(x,u)vdx(12rc2ˆc1+r(1ϵ2)1+r2c2C1+r1+rϵ1+rc1C1+r1+rϵ)u1+rX0   c1C1ϵuX0c2|Ω|(c22rˆc1+r(1ϵ2)1+r2c2C1+r1+rϵ1+rc1C1+r1+rϵc1C1ϵMrc2|Ω|M1+r)u1+rX0=:βu1+rX0. (3.12)

    Now we can take M>0 large enough and 0<ϵ<1 small enough so that

    β=c22rˆc1+r(1ϵ2)1+r2c2C1+r1+rϵ1+rc1C1+r1+rϵc1C1ϵMc2|Ω|M1+r>0;

    hence,

    Ωg(x,u)vdxβu1+rX0βv1+rX0  for  uC(M,ϵ). (3.13)

    The proof is complete.

    In order to apply [26, Proposition 2.5] and Morse theory to prove our results, we have to verify that J satisfies the Palais-Smale condition.

    Lemma 3.2. Assume (g1) and (g±2). Then the functional J defined by (3.1) satisfies the Palais-Smale condition.

    Proof. Let the sequence {un}X0 be such that

    J(un)0,  n. (3.14)

    We show that {un} is bounded in X0. Suppose, by the way of contradiction, that

    unX0  as  n. (3.15)

    Write un=vn+wn, where vnV and wnW. By the variational inequalities (2.8) and (2.9), we have

    |Awn,wn|σwn2X0,   nN, (3.16)

    where

    σ=min{1λλ+ν, λλ11}.

    By (3.11), there is N1N such that

    |J(un),wn|wnX0,   nN1. (3.17)

    By (3.2) and (3.5), we have

    J(un),wn=Awn,wnX0+F(un),wn. (3.18)

    By (3.6) and (3.15) we have

    F(un)=o(unX0),  n. (3.19)

    It follows that, for any given δ>0 sufficiently small and all n sufficiently large,

    σwn2X0|Awn,wnX0||J(un),wn|+|F(un),wn|wnX0+δunX0wnX0. (3.20)

    Since δ>0 was chosen arbitrarily, from (3.15) and (3.20) we deduce that

    wnX0unX00  as  n. (3.21)

    It follows that there is N2N with N2N1 such that

    unX0M  and  wnX0ϵunX0  for  nN2, (3.22)

    where M>0 and ϵ(0,1) was given in Lemma 3.1. Therefore by Lemma 3.1 we have that

    ±Ωg(x,un)vnvnX0dxβvnrX0β(1ϵ2)r2Mr>0  for   nN2. (3.23)

    On the other hand, by (3.14), we get

    limn|Ωg(x,un)vnvnX0dx|=limn|J(un),vnvnX0|=0. (3.24)

    This contradicts (3.23). Hence {un} is bounded in X0.

    Since X0 is a Hilbert space, there is a subsequence of {un}, still denoted by {un}, and there exists uX0, such that

    unu   weakly in  X0   as  n. (3.25)

    By Proposition 2.1, up to a subsequence, it holds that

    unuin Lq(RN)   q[1,2NN2s),un(x)u(x)a.e. in RN. (3.26)

    as n. By (g1), Proposition 2.1 and (3.26) we get

    |Ω(g(x,un)g(x,u))(unu)dx|2c1unuL1(Ω)+c1Cr1+r(urX0+unrX0)unuL1+r(Ω)0   as  n. (3.27)

    From (3.14) we deduce that

    J(un),un=R2N|un(x)un(y)|2K(|xy|)dxdyλΩ|un|2dxΩg(x,un(x))un(x)dx0 (3.28)

    as n, and

    J(un),u=R2N(un(x)un(y))(u(x)u(y))K(|xy|)dxdyλΩunudxΩg(x,un(x))u(x)dx0 (3.29)

    as n. Now by (3.14) and (3.26)–(3.29), we deduce from

    J(un)J(u),unu0   n

    that

    unu2X00,   n.

    This completes the proof for verifying the Palais-Smale condition.

    Notice here that only (3.14) is used for verifying the Palais-Smale condition, it follows that the critical point set of J is compact and is then bounded.

    Now we are ready to give the proofs of the main results in this paper.

    Proof of Theorem 1.1. We give the proof of the case (ⅰ). Since

    J(u),v=Ωg(x,u)vdx,   vV,

    it follows from Lemma 3.1 that J satisfies the angle condition (AC) in [26, Proposition 2.5] at infinity with respect to X0=VW. Thus by [26, Proposition 2.5(ⅱ)] we have

    Cq(J,)δq,μ+νZ, qZ, (3.30)

    where

    μ=dimλk<λkerE(λk),    ν=dimE(λ).

    Therefore J has a critical point u satisfying

    Cμ+ν(J,u)0. (3.31)

    The second derivative of J at the trivial solution u=0 can be written as

    J(0)ϕ,ϕ=ϕ2X0Ω(λ+gt(x,0))ϕ2dx,    ϕX0. (3.32)

    By the condition we see that u=0 is a nondegenerate critical point of J with the Morse index

    ˉμ0=dimλkλmkerE(λk). (3.33)

    Hence

    Cq(J,0)δq,ˉμ0Z. (3.34)

    Since λmλ, we get that μ+νˉμ0, and we see from (3.33) and (3.34) that u0. The case (ⅱ) can be proved in the same way. The proof is complete.

    Proof of Theorem 1.2 We give the proof of the case (ⅱ). It follows from Lemma 3.1 that J satisfies the angle condition (AC+) in [26, Proposition 2.5] at infinity with respect to X0=VW. Thus by [26, Proposition 2.5(ⅱ)] we have

    Cq(J,)δq,μZ, qZ, (3.35)

    and J has a critical point u satisfying

    Cμ(J,u)0. (3.36)

    Now J(0) takes the form

    J(0)ϕ,ϕ=ϕ2X0λmΩϕ2dx,    ϕX0. (3.37)

    It follows that 0 is a degenerate critical point of J with the Morse index μ0 and the nullity ν0 given by

    μ0=dimλkλm1kerE(λk),   ν0=dimE(λm). (3.38)

    By the Gromoll-Meyer result[27], we have that

    Cq(J,0)0,  for q[μ0,μ0+ν0]. (3.39)

    It follows from λm<λ1<λ or λ1<λm1 that μ0+ν0<μ or μ0>μ, and we see from (3.36) and (3.39) that u0. The case (ⅰ) can be proved in the same way. The proof is complete.

    Lemma 3.3. Assume (1.3), (1.9), (g1) and (F±0). Then

    (ⅰ) Cq(J,0)δq,μ0+ν0Z for (F+0) holds,

    (ⅱ) Cq(J,0)δq,μ0Z for (F0) holds,

    where μ0 and ν0 are given by (3.38).

    Proof. We will apply [24, Proposition 2.3] to prove the results. We first note that by (g1) and the last part in the proof of Lemma 3.2, the functional J verifies the bounded Palais-Smale condition which ensures the deformation property for computing Cq(J,0) (see [20,21]).

    We treat the case (ⅱ) for which (F0) holds. We will prove that J has the local linking structure at 0 as with respect to X0=EE+, where E=Wm and E+=VmW+m. We refer the readers to [28,29] for the concept of the local linking.

    1) Take uE=Wm. Since Wm is finite dimensional, there is ρ>0 such that

    uX0ρ    |u(x)|δ,  a.e. xΩ.

    Consequently, thanks to (2.8) with λm and (F0), for any uE with uρ, we get

    J(u)12(1λmλm1)u2X0ΩF0(x,u)dx14(1λmλm1)u2X00. (3.40)

    2) For uE+=VmW+m, we write u=w+z, where wW+m and zVm. Then

    J(u)12(1λmλm+νm)w2X0ΩF0(x,u)dx. (3.41)

    Since Vm is finite dimensional, there is ρ>0 such that

    zuρ    |z(x)|<13δ,  a.e. xΩ.

    Consequently,

    |u(x)|>δ  |w(x)|=|u(x)z(x)||u(x)||z(x)|>23|u(x)|.

    By (F0), we have

    {|u(x)|δ}F0(x,u)dx0. (3.42)

    By (g1), we get that, for each given σ(2,2NN2s], there is κ=κ(σ,δ)>0 such that

    |F0(x,t)|κ|u|σ,   xΩ,  |t|>δ. (3.43)

    Hence

    {|u(x)|>δ}F0(x,u)dxκ{|u(x)|>δ}|u|σdxκ(3/2)σΩ|w|σdxC(σ,δ)wσX0. (3.44)

    Now, by (3.41), (3.42) and (3.44) we get

    J(u)12(1λmλm+νm)w2X0{|u(x)|δ}F0(x,u)dxC(κ,σ)wσX0. (3.45)

    Since σ>2, one sees from (3.42) and (3.45) that for ρ>0 small enough once again, it holds that

    Φ(u)>0,  uρ  with w0. (3.46)

    For zVm with zρ, we have by (F0) that

    2F0(x,z(x))=2F(x,z(x))λmz(x)20,    a.e. xΩ.

    Thus for all zBρVm,

    J(z)=12Ω(2F(x,z(x))λmz(x)2)dx0. (3.47)

    To apply [24, Proposition 2.3], we need to show that the above inequality holds strictly for z0. Assume, for contradiction, that for any 0<ϵρ, there is zϵVm such that 0<zϵ<ϵ and J(zϵ)=0. Then, the following holds:

    2F(x,zϵ(x))=λmzϵ(x)2,    a.e. xΩ,

    and then

    f(x,zϵ(x))=λmzϵ(x),    a.e. xΩ.

    Given that zϵVm, going back to (1.1), we see that zϵ is a nontrivial solution of (1.1). This contradicts the conventional assumption that 0 is an isolated solution of (1.1). In summary, we obtain by (3.46) and (3.47) that

    J(u)>0, 0<uρ, uE+.

    Therefore, J has a local linking structure with respect to E=EE+ with μ0=dimE. It follows from [24, Proposition 2.3] that Cq(J,0)δq,μ0Z.

    The case (ⅰ) is proved in a similar and simpler way. The proof is complete.

    Proof of Theorem 1.3. We give the proof of the case (ⅳ). As in the proof of Theorem 1.1(ⅱ), we have gotten the following conclusion that J satisfies the angle condition (AC+) in [26, Proposition 2.5] at infinity with respect to X0=VW, and then that J has a critical point u satisfying

    Cμ(J,u)0. (3.48)

    By (F0) and Lemma 3.3, J has a local linking at 0 with respect to X0=EE+. Thus it follows from [24, Proposition 2.3] that

    Cq(J,0)δq,μ0Z. (3.49)

    By λ1<λm1, we have that λ<μ0. It follows from (3.48) and (3.49) that u0. The other cases can be proved in the same way. The proof is complete.

    Remark 3.4. We conclude the paper with some remarks.

    1) In Theorem 1.3, the result for one nontrivial solution is valid for f that is locally Lipschitz continuous with f(x,0)λm being replaced by satisfying limt0f(x,t)t=λm. In this case, we have only JC20(X0,R) and no Morse index is involved. We have the critical groups at zero by applying the local linking theorem in [23] as follows:

    Cμ0+ν0(J,0)0  for (F+0) holds;   Cμ0(J,0)0  for (F0) holds.

    2) In the case that λ=λ1 and (g2) holds, we have that μ=0 and

    Cq(J,)δq,0Z. (3.50)

    Thus J has a critical point u with

    C0(J,u)0. (3.51)

    It follows that

    Cq(J,u)δq,0Z. (3.52)

    Indeed, (3.50) is equivalent to J being bounded from below and (3.51) is equivalent to u being a local minimizer of J. Furthermore, in the case that Cq(J,0)0 for some q1, we can apply [30, Theorem 2.1], i.e., the most general version of the three critical point theorem, to get two nontrivial solutions of (1.1).

    The authors declare that they have not used Artificial Intelligence tools in the creation of this article.

    The authors appreciate the reviewers for carefully reading the manuscript and giving valuable comments to improve the exposition of the paper. This work was supported by the NSFC (12001382, 12271373, 12171326).

    The authors declare there is no conflicts of interest.


    Acknowledgments



    The study described herein was performed while Justyna Gerłowska was representing the Medical University of Lublin, Department of Neurology.

    Author contributions



    JG substantial contribution to the conception, design of the work, data acquisition, analysis, interpretation of data for the work, drafting the work, and final approval of the version to be published, KD substantial contribution to the design of the work, analysis, interpretation of data for the work, drafting the work, and final approval of the version to be published study design, KR substantial contribution to the conception, design of the work, revising critically data for the work for important intellectual content, and final approval of the version to be published data collection. All authors agreed to be accountable for all aspects of the work in ensuring that question related to the accuracy of integrity of any part of the work are appropriately investigated and resolved.

    Conflict of interest



    The authors declare no conflict of interest.

    [1] Gola KA, Shany-Ur T, Pressman P, et al. (2017) A neural network underlying intentional emotional facial expression in neurodegenerative disease. Neuroimage Clin 14: 672-678. doi: 10.1016/j.nicl.2017.01.016
    [2] Marshall CR, Hardy CJD, Russell LL, et al. (2018) Motor signatures of emotional reactivity in frontotemporal dementia. Sci Rep 8: 1030. doi: 10.1038/s41598-018-19528-2
    [3] Carr AR, Mendez MF (2018) Affective Empathy in Behavioral Variant Frontotemporal Dementia: A Meta-Analysis. Front Neurol 9: 417. doi: 10.3389/fneur.2018.00417
    [4] Patel S, Oishi K, Wright A, et al. (2018) Right Hemisphere Regions Critical for Expression of Emotion Through Prosody. Front Neurol 9: 224. doi: 10.3389/fneur.2018.00224
    [5] Sapey-Triomphe L-A, Heckermann RA, Boublay N, et al. (2015) Neuroanatomical correlates of recognizing face expressions in mild stages of Alzheimer's disease. PLoS One 10: e0143586. doi: 10.1371/journal.pone.0143586
    [6] Sturm VE, Yokoyama JS, Seeley WW, et al. (2013) Heightened emotional contagion in mild cognitive impairment and Alzheimer's disease is associated with temporal lobe degeneration. Proc Natl Acad Sci USA 110: 9944-9949. doi: 10.1073/pnas.1301119110
    [7] Virtanen M, Singh-Manoux A, Batty DG, et al. (2017) The level of cognitive function and recognition of emotions in older adults. PLoS One 12: e0185513. doi: 10.1371/journal.pone.0185513
    [8] Savaskan E, Summermatter D, Schroeder C, et al. (2018) Memory deficits for facial identity in patients with amnestic mild cognitive impairment (MCI). PLoS One 13: e0195693. doi: 10.1371/journal.pone.0195693
    [9] Rajan KB, Weuve J, Barnes LL, et al. (2019) The diagnosis of dementia due to Alzheimer's disease: Recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimers Dement 15: 1-7. doi: 10.1016/j.jalz.2018.07.216
    [10] Raggi A, Tasca D, Panerai S, et al. (2015) The burden of distress and related coping processes in family caregivers of patients with Alzheimer's disease living in the community. J Neurol Sci 358: 77-81. doi: 10.1016/j.jns.2015.08.024
    [11] Raivio MM, Laakkonen M-L, Pitkälä KH (2015) Psychological well-being of spousal caregivers of persons with Alzheimer's disease and associated factors. Eur Geriatr Med 6: 128-133. doi: 10.1016/j.eurger.2014.08.006
    [12] Ikeda C, Terada S, Oshima E, et al. (2015) Difference in determinants of caregiver burden between amnestic mild cognitive impairment and mild Alzheimer's disease. Psychiatry Res 226: 242-246. doi: 10.1016/j.psychres.2014.12.055
    [13] Hackett RA, Steptoe A, Cadar D, et al. (2019) Social engagement before and after dementia diagnosis in the English Longitudinal Study of Ageing. PLoS One 14: e0220195. doi: 10.1371/journal.pone.0220195
    [14] Dmitruk K, Wójcik GM (2010) Modelling 3D scene based on rapid face tracking and object recognition. Ann UMCS Inform X: 63-68.
    [15] Gonçalves AR, Fernandes C, Pasion R, et al. (2018) Emotion identification and aging: behavioral and neural age-related changes. Clin Neurphysiol 129: 1020-1029. doi: 10.1016/j.clinph.2018.02.128
    [16] Schmitt H, Kray J, Ferdinand NK (2017) Does the Effort of Processing Potential Incentives Influence the Adaption of Context Updating in Older Adults? Front Psychol 8: 1969. doi: 10.3389/fpsyg.2017.01969
    [17] Arani A, Murphy MC, Glaser KJ, et al. (2015) Measuring the effects of aging and sex on regional brain stiffness with MR elastography in healthy older adults. Neuroimage 111: 59-64. doi: 10.1016/j.neuroimage.2015.02.016
    [18] Medaglia JD, Pasqualetti F, Hamilton RH, et al. (2017) Brain and cognitive reserve: Translation via network control theory. Neurosci Biobehav Rev 75: 53-64. doi: 10.1016/j.neubiorev.2017.01.016
    [19] Albohn DN, Adams jr RB (2020) Everyday beliefs about emotion perceptually derived from neural facial appearance. Front Psychol 11: 264. doi: 10.3389/fpsyg.2020.00264
    [20] Jarick M, Kingstone A (2015) The duality of gaze: eyes extract and signal social information during sustained cooperative and competitive dyadic gaze. Front Psychol 6: 1423. doi: 10.3389/fpsyg.2015.01423
    [21] Dampney R (2018) Emotion and the Cardiovascular System: Postulated Role of Inputs From the Medial Prefrontal Cortex to the Dorsolateral Periaqueductal Gray. Front Neurosci 12: 343. doi: 10.3389/fnins.2018.00343
    [22] Lin H, Müller-Bardorff M, Gathmann B, et al. (2020) Stimulus arousal drives amygdalar responses to emotional expressions across sensory modalities. Sci Rep 10: 1898. doi: 10.1038/s41598-020-58839-1
    [23] Song J, Wei Y, Ke H (2019) The effect of emotional information from eyes on empathy for pain: A subliminal ERP study. PLoS One 14: e0226211. doi: 10.1371/journal.pone.0226211
    [24] Perusquía-Hernández M, Ayabe-Kanamura S, Suzuki K (2019) Human perception and biosignal-based identification of posed and spontaneous smiles. PLoS One 14: e0226328. doi: 10.1371/journal.pone.0226328
    [25] Kilpeläinen M, Salmela V (2020) Perceived emotional expressions of composite faces. PLoS One 15: e0230039. doi: 10.1371/journal.pone.0230039
    [26] Borgomaneri S, Bolloni C, Sessa P, et al. (2020) Blocking facial mimicry affects recognition of facial and body expressions. PLoS One 15: e0229364. doi: 10.1371/journal.pone.0229364
    [27] Grueschow M, Jelezarova I, Westphal M, et al. (2020) Emotional conflict adaptation predicts intrusive memories. PLoS One 15: e0225573. doi: 10.1371/journal.pone.0225573
    [28] Wirth BE, Wentura D (2018) Furious snarling: Teeth-exposure and anxiety-related attentional bias towards angry faces. PLoS One 13: e0207695. doi: 10.1371/journal.pone.0207695
    [29] Avenanti A (2019)  Blocking facial mimicry affects recognition of facial and body expressions Available from: https://doi.org/10.17605/OSF.IO/CSUD3.
    [30] Natu VS, Barnett MA, Hartley J, et al. (2016) Development of Neural Sensitivity to Face Identity Correlates with Perceptual Discriminability. J Neurosci 36: 10893-10907. doi: 10.1523/JNEUROSCI.1886-16.2016
    [31] Kungl MT, Bovenschen I, Spangler G (2017) Early Adverse Caregiving Experiences and Preschoolers' Current Attachment Affect Brain Responses during Facial Familiarity Processing: An ERP Study. Front Psychol 8: 2047. doi: 10.3389/fpsyg.2017.02047
    [32] Reynolds GD, Roth KC (2018) The Development of Attentional Biases for Faces in Infancy: A Developmental Systems Perspective. Front Psychol 9: 222. doi: 10.3389/fpsyg.2018.00222
    [33] Hartling C, Fan Y, Weigand A, et al. (2019) Interaction of HPA axis genetics and early life stress shapes emotion recognition in healthy adults. Psychoneuroendocrinology 99: 28-37. doi: 10.1016/j.psyneuen.2018.08.030
    [34] Ross P, Atkinson AP (2020) Expanding Simulation Models of Emotional Understanding: The Case for Different Modalities, Body-State Simulation Prominence, and Developmental Trajectories. Front Psychol 11: 309. doi: 10.3389/fpsyg.2020.00309
    [35] Recio G, Wilhelm O, Sommer W, et al. (2017) Are event-related potentials to dynamic facial expressions of emotion related to individual differences in the accuracy of processing facial expressions and identity? Cogn Affect Behav Neurosci 17: 364-380. doi: 10.3758/s13415-016-0484-6
    [36] Nonis F, Dagnes N, Marcolin F, et al. (2019) 3D Approaches and challenges in facial expression recognition algorithms—a literature review. Appl Sci 9: 3904. doi: 10.3390/app9183904
    [37] Allaert B, Bilasco IM, Djeraba C (2019) Micro and macro facial expression recognition using advanced Local Motion Patterns. IEEE Trans Affect Comput PP: 1. doi: 10.1109/TAFFC.2019.2949559
    [38] Kulke L, Feyerabend D, Schacht A (2020) A Comparison of the Affectiva iMotions Facial Expression Analysis Software With EMG for Identifying Facial Expressions of Emotion. Front Psychol 11: 329. doi: 10.3389/fpsyg.2020.00329
    [39] Colombo D, Fernández-Álvarez J, García Palacios A, et al. (2019) New Technologies for the Understanding, Assessment, and Intervention of Emotion Regulation. Front Psychol 10: 1261. doi: 10.3389/fpsyg.2019.01261
    [40] Bastiaansen M, Oosterholt M, Mitas O, et al. (2020) An Emotional Roller Coaster: Electrophysiological Evidence of Emotional Engagement during a Roller-Coaster Ride with Virtual Reality Add-On. J Hosp Tour Res .
    [41] Van Lier HG, Pieterse ME, Garde A, et al. (2020) A standardized validity assessment protocol for physiological signals from wearable technology: Methodological underpinnings and an application to the E4 biosensor. Behav Res Methods 52: 607-629. doi: 10.3758/s13428-019-01263-9
    [42] Mao Qr, Pan XY, Zhan YZ, et al. (2015) Using Kinect for real-time emotion recognition via facial expressions. Front Inform Tech El 16: 272-282. doi: 10.1631/FITEE.1400209
    [43] Ng HW, Nguyen VD, Vonikakis V, et al.Deep Learning for Emotion Recognition on Small Datasets using Transfer Learning. ACM Int Conf Multimodal Interact (2015) .443-449. doi: 10.1145/2818346.2830593
    [44] Liu W, Zheng WL, Lu BL (2016) Emotion Recognition Using Multimodal Deep Learning. Neural Inf Process 9948: 521-529.
    [45] Zhang TY, El Ali A, Wang C, et al. (2021) CorrNet: Fine-Grained Emotion Recognition for Video Watching Using Wearable Physiological Sensors. Sensors 21: 52. doi: 10.3390/s21010052
  • Reader Comments
  • © 2021 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(3336) PDF downloads(135) Cited by(5)

Figures and Tables

Figures(2)  /  Tables(3)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog