The trouble here is tied to the bad notation surrounding partial derivatives. At times like these I find it useful to use very clear - but very cumbersome - notation to clarify the concepts, and then use sloppier shorthand once the concept is well-understood.
Consider the function $f:\mathbb R\times \mathbb R \rightarrow \mathbb R$ which eats two numbers and spits out the square of the first number plus the cube of the second number. What is $\partial f/\partial w$?
If you are confused, it is for good reason. What on earth is $w$? My question makes no sense at all. On the other hand, I could ask for the derivative of $f$ with respect to its first entry; the result, which I will call $\partial_1 f$, is the function which eats two numbers and spits out two times the first number. Similarly, the derivative with respect to the second entry is the function $\partial_2 f$ which eats two numbers and spits out three times the square of the second number.
Now obviously, expressing all of this using English words is incredibly tedious, and it is much easier to simply write
$$f(x,y)=x^2+y^3 \qquad \big(\partial_1f\big)(x,y) = 2x \qquad \big(\partial_2f\big)(x,y) = 3y^2$$
However, it is crucial to note that the $x$'s and $y$'s which appear above are dummy variables. In the absence of any additional information, the symbol $\partial f/\partial x$ simply makes no sense. What does make sense is the following:
$$\frac{\partial}{\partial x} f(x,y) = \big(\partial_1 f\big)(x,y) $$
To get the general idea, here are a few other expressions which make sense:
$$\frac{\partial}{\partial x}f(x^2, y) = \big(\partial_1 f\big)(x^2,y) \cdot 2x \qquad \frac{\partial}{\partial x} f(y,x) = \big(\partial_2 f\big)(y,x) \qquad (1)$$
Observe that $\partial/\partial x$ is a derivative with respect to a variable, while $\partial_{1}$ is a derivative with respect to an entry.
With this bit of notation in hand, let's address your question. Let $\partial_1,\partial_2,\partial_3$ refer to the derivatives with respect to the position entries and $\partial_4$ refer to the derivative with respect to the time entry. The Schrodinger equation (without reference to dummy variables) becomes
$$\left[i\partial_4 + \frac{1}{2m}(\partial_1^2+\partial_2^2+\partial_3^2)-V\right]\psi = 0 \qquad (2)$$
Complex conjugation gives
$$\left[-i\partial_4 + \frac{1}{2m}(\partial_1^2+\partial_2^2+\partial_3^2)-V\right]\psi^* = 0 \qquad (3)$$
Now define $\rho(\mathbf x,t) = \psi^*(\mathbf x,-t)$. For the spatial variables we have e.g.
$$\big(\partial_1\rho\big)(\mathbf x,t) =\frac{\partial}{\partial x} \rho(\mathbf x,t) = \frac{\partial}{\partial x}\psi^*(\mathbf x,-t) = \big(\partial_1\psi^*)(\mathbf x,-t)$$
while for the time variable,
$$\big(\partial_4\rho\big)(\mathbf x,t) = \frac{\partial}{\partial t}\rho(\mathbf x,t) = \frac{\partial}{\partial t}\psi^*(\mathbf x,-t) = \color{red}{-}\big(\partial_4\psi^*\big)(\mathbf x,-t)$$
where we've used the chain rule, c.f. the first example in $(1)$. As a result, plugging $\rho$ into $(2)$ yields
$$\left[i\partial_4 + \frac{1}{2m}(\partial_1^2+\partial_2^2+\partial_3^2)-V\right]\rho(\mathbf x,t) $$
$$= \left[-i\partial_4 + \frac{1}{2m}(\partial_1^2+\partial_2^2+\partial_3^2)-V\right]\psi^*(\mathbf x,-t) = 0$$
where we've used the fact that $(3)$ holds for the function $\psi^*$, regardless of the dummy variables I subsequently choose to plug in.